subject:(Indoor positioning systems)

Oregon State University

1. Gray, Kyle L. (Kyle Lee). A 5 GHz Wi-Fi Receiver Front End with 4x80 MHz Channels for a High Accuracy Indoor Localization System.

Degree: MS, Electrical and Computer Engineering, 2015, Oregon State University

URL: http://hdl.handle.net/1957/57939

► The ability to accurately locate people and objects indoors will enable opportunities for control and automation of indoor environments. Current indoor localization solutions require dedicated… (more)

Subjects/Keywords: Indoor Positioning; Indoor positioning systems (Wireless localization)

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gray, K. L. (. L. (2015). A 5 GHz Wi-Fi Receiver Front End with 4x80 MHz Channels for a High Accuracy Indoor Localization System. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/57939

Chicago Manual of Style (16^th Edition):

Gray, Kyle L (Kyle Lee). “A 5 GHz Wi-Fi Receiver Front End with 4x80 MHz Channels for a High Accuracy Indoor Localization System.” 2015. Masters Thesis, Oregon State University. Accessed March 01, 2021. http://hdl.handle.net/1957/57939.

MLA Handbook (7^th Edition):

Gray, Kyle L (Kyle Lee). “A 5 GHz Wi-Fi Receiver Front End with 4x80 MHz Channels for a High Accuracy Indoor Localization System.” 2015. Web. 01 Mar 2021.

Vancouver:

Gray KL(L. A 5 GHz Wi-Fi Receiver Front End with 4x80 MHz Channels for a High Accuracy Indoor Localization System. [Internet] [Masters thesis]. Oregon State University; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1957/57939.

Council of Science Editors:

Gray KL(L. A 5 GHz Wi-Fi Receiver Front End with 4x80 MHz Channels for a High Accuracy Indoor Localization System. [Masters Thesis]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/57939

Rutgers University

2. Turgut, Begümhan, 1978-. Advances in instantaneous and dynamic localization in indoor environments.

Degree: PhD, Computer Science, 2014, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/45509/

►

The knowledge of the exact location of an object or person is an important enabler for a wide variety of applications. Localization, itself, has a… (more)

▼

The knowledge of the exact location of an object or person is an important enabler for a wide variety of applications. Localization, itself, has a long and distinguished history from sextants to the geodesic tools of modern civil engineers. The recent general availability of global positioning systems has enabled the development of new applications from car navigation and emergency assistance systems to location targeted advertisements. However these systems are largely limited to outdoor spaces preventing the accurate determination of location inside of a building. In this dissertation, we consider the issues of both the instantaneous and dynamic localization of people in an indoor environment where GPS signals are not available. We begin by studying instantaneous localization and the variety of new techniques that share the common approach of utilizing a number of fixed reference points with known locations in order to determine the location of the target. Since indoor environments usually prevent a direct line of sight from the target to a known point we need to infer the target’s location from secondary measurements with varying reliability. We then outline a new method for instantaneous localization whose output not only provides the location of the target but also the confidence of the localization based on the environmental variability. We then examine how these factors extend to the complex scenarios of dynamic localization. In these scenarios instantaneous localization steps would need to be performed at an unrealistically high frequency in order to extract the desired smooth trajectory of a moving object. We find that by passing the results of these measurements over time through a sampling-importance-resampling particle filter can reduce the influence of noise and allow interpolation to predict the current, and sometimes future, location of the target. This particle filter utilizes a probabilistic reasoning technique to extract continuous tracking information from the periodic instantaneous location input as well as to integrate knowledge about the environment and the target’s capabilities in order to provide it’s location. We then present the experimental results from scenarios taken from multiple indoor locations demonstrating the accuracy and precision of the localization method.

Advisors/Committee Members: Martin, Richard P (chair), Gruteser, Marco (internal member), Elgammal, Ahmed (internal member), Wang, Xin (outside member).

Subjects/Keywords: Indoor positioning systems (Wireless localization)

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Turgut, Begümhan, 1. (2014). Advances in instantaneous and dynamic localization in indoor environments. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/45509/

Chicago Manual of Style (16^th Edition):

Turgut, Begümhan, 1978-. “Advances in instantaneous and dynamic localization in indoor environments.” 2014. Doctoral Dissertation, Rutgers University. Accessed March 01, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/45509/.

MLA Handbook (7^th Edition):

Turgut, Begümhan, 1978-. “Advances in instantaneous and dynamic localization in indoor environments.” 2014. Web. 01 Mar 2021.

Vancouver:

Turgut, Begümhan 1. Advances in instantaneous and dynamic localization in indoor environments. [Internet] [Doctoral dissertation]. Rutgers University; 2014. [cited 2021 Mar 01]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45509/.

Council of Science Editors:

Turgut, Begümhan 1. Advances in instantaneous and dynamic localization in indoor environments. [Doctoral Dissertation]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45509/

University of North Texas

3. Reyes, Omar Costilla. Dynamic WIFI Fingerprinting Indoor Positioning System.

Degree: 2014, University of North Texas

URL: https://digital.library.unt.edu/ark:/67531/metadc699843/

► A technique is proposed to improve the accuracy of indoor positioning systems based on WIFI radio-frequency signals by using dynamic access points and fingerprints (DAFs).… (more)

Subjects/Keywords: Indoor positioning systems; WIFI fingerprinting; static fingerprints; Indoor positioning systems (Wireless localization); Wireless communication systems.

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Reyes, O. C. (2014). Dynamic WIFI Fingerprinting Indoor Positioning System. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc699843/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Reyes, Omar Costilla. “Dynamic WIFI Fingerprinting Indoor Positioning System.” 2014. Thesis, University of North Texas. Accessed March 01, 2021. https://digital.library.unt.edu/ark:/67531/metadc699843/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Reyes, Omar Costilla. “Dynamic WIFI Fingerprinting Indoor Positioning System.” 2014. Web. 01 Mar 2021.

Vancouver:

Reyes OC. Dynamic WIFI Fingerprinting Indoor Positioning System. [Internet] [Thesis]. University of North Texas; 2014. [cited 2021 Mar 01]. Available from: https://digital.library.unt.edu/ark:/67531/metadc699843/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reyes OC. Dynamic WIFI Fingerprinting Indoor Positioning System. [Thesis]. University of North Texas; 2014. Available from: https://digital.library.unt.edu/ark:/67531/metadc699843/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Portland State University

4. Tran, Huy Phuong. Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems.

Degree: PhD, Computer Science, 2019, Portland State University

URL: https://pdxscholar.library.pdx.edu/open_access_etds/5009

► Large enterprises are often interested in tracking objects and people within buildings to improve resource allocation and occupant experience. Infrastructure-based indoor positioning systems (IIPS)… (more)

▼ Large enterprises are often interested in tracking objects and people within buildings to improve resource allocation and occupant experience. Infrastructure-based indoor positioning systems (IIPS) can provide this service at low-cost by leveraging already deployed Wi-Fi infrastructure. Typically, IIPS perform localization and tracking of devices by measuring only Wi-Fi signals at wireless access points and do not rely on inertial sensor data at mobile devices (e.g., smartphones), which would require explicit user consent and sensing capabilities of the devices. Despite these advantages, building an economically viable cost-effective IIPS that can accurately and simultaneously track many devices over very large buildings is difficult due to three main challenges. First, Wi-Fi signal measurements are extremely noisy due to unpredictable multipath propagation and signal attenuation. Second, as the IIPS obtain measurements in a best effort manner without requiring any applications installed on a tracked device, the measurements are temporally sparse and non-periodic, which makes it difficult to exploit historical measurements. Third, the cost-effective IIPS have limited computational resources, in turn limiting scalability in terms of the number of simultaneously tracked devices. Prior approaches have narrowly focused on either improving the accuracy or reducing the complexity of localization algorithms. To compute the location at the current time step, they typically use only the latest explicit Wi-Fi measurements (e.g., signal strengths). The novelty of our approach lies in considering contexts of a device that can provide useful indications of the device's location. One such example of context is device motion. It indicates whether or not the device's location has changed. For a stationary device, the IIPS can either skip expensive device localization or aggregate noisy, temporally sparse location estimates to improve localization accuracy. Another example of context applicable to a moving device is a floor map that consists of pre-defined path segments that a user can take. The map can be leveraged to constrain noisy, temporally sparse location estimates on the paths. The thesis of this dissertation is that embedding context-aware capabilities in the IIPS enhances its performance in tracking many devices simultaneously and accurately. Specifically, we develop motion detection and map matching to show the benefits of leveraging two critical contexts: device motion and floor map. Providing motion detection and map matching is non-trivial in the IIPS where we must rely only on data from the Wi-Fi infrastructure. This thesis makes two contributions. First, we develop feature-based and deep learning-based motion detection models that exploit temporal patterns in Wi-Fi measurements across different access points to classify device motion in real time. Our extensive evaluations on datasets from real Wi-Fi deployments show that our motion detection models can detect… Advisors/Committee Members: Nirupama Bulusu.

Subjects/Keywords: Indoor positioning systems (Wireless localization); Computer Sciences

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Tran, H. P. (2019). Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems. (Doctoral Dissertation). Portland State University. Retrieved from https://pdxscholar.library.pdx.edu/open_access_etds/5009

Chicago Manual of Style (16^th Edition):

Tran, Huy Phuong. “Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems.” 2019. Doctoral Dissertation, Portland State University. Accessed March 01, 2021. https://pdxscholar.library.pdx.edu/open_access_etds/5009.

MLA Handbook (7^th Edition):

Tran, Huy Phuong. “Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems.” 2019. Web. 01 Mar 2021.

Vancouver:

Tran HP. Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems. [Internet] [Doctoral dissertation]. Portland State University; 2019. [cited 2021 Mar 01]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/5009.

Council of Science Editors:

Tran HP. Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems. [Doctoral Dissertation]. Portland State University; 2019. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/5009

Hong Kong University of Science and Technology

5. Wu, Hang CSE. Efficient indoor localization with geomagnetism.

Degree: 2017, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-105650 ; https://doi.org/10.14711/thesis-991012554268903412 ; http://repository.ust.hk/ir/bitstream/1783.1-105650/1/th_redirect.html

► Geomagnetic field holds much promise for indoor localization due to its pervasive spatial presence, high signal stability and wide availability of magnetometers already embedded in… (more)

Subjects/Keywords: Indoor positioning systems (Wireless localization) ; Geomagnetism

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wu, H. C. (2017). Efficient indoor localization with geomagnetism. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-105650 ; https://doi.org/10.14711/thesis-991012554268903412 ; http://repository.ust.hk/ir/bitstream/1783.1-105650/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wu, Hang CSE. “Efficient indoor localization with geomagnetism.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-105650 ; https://doi.org/10.14711/thesis-991012554268903412 ; http://repository.ust.hk/ir/bitstream/1783.1-105650/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wu, Hang CSE. “Efficient indoor localization with geomagnetism.” 2017. Web. 01 Mar 2021.

Vancouver:

Wu HC. Efficient indoor localization with geomagnetism. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-105650 ; https://doi.org/10.14711/thesis-991012554268903412 ; http://repository.ust.hk/ir/bitstream/1783.1-105650/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu HC. Efficient indoor localization with geomagnetism. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: http://repository.ust.hk/ir/Record/1783.1-105650 ; https://doi.org/10.14711/thesis-991012554268903412 ; http://repository.ust.hk/ir/bitstream/1783.1-105650/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

6. Rasch, Kevin. Inomhuspositionering med tre olika tekniker – Bluetooth Low Energy, Wi-Fi och GPS : En jämförelsestudie av positioneringsverktyg vid inomhuspositionering.

Degree: Information Systems, 2018, Dalarna University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:du-27999

►

Olika navigeringstekniker är något som människan använder sig av dagligen. Det är och har varit en viktig del genom tiderna, i början handlade det… (more)

▼

Olika navigeringstekniker är något som människan använder sig av dagligen. Det är och har varit en viktig del genom tiderna, i början handlade det om att kunna navigera till havs med hjälp av stjärnorna och idag har många människor i världen någon form av smarttelefon som kan användas som navigeringsverktyg. Inomhuspositionering är något som har blivit ett hett ämne den senaste tiden och eftersom GPS fungerar sämre inomhus har nya tekniker utvecklats för att navigera och positionera sig inomhus. De tekniker som ligger i framkant nu är bland annat Bluetooth Low Energy (BLE) och Wi-Fi där man med hjälp av triangulering kan positionera ut en användare inomhus. Frågan återstår då, vilket positioneringsverktyg är då lämpligt för inomhuspositionering. Detta examensarbete har utförts med en kombination av strategier. Som börjar med en jämförelsestudie av tre olika positioneringstekniker, BLE Wi-Fi och GPS, för att ta fram en lämplig positioneringsteknik för utvärdering i form av ett experiment där flera faktorer, främst precisionen, testas. I denna studie användes BLE beacons som positioneringsverktyg dels för att den var lätt att implementera men även för att den skulle uppnå hög precision. För att testa BLE beacon utvecklades en lätt applikationsprototyp som hade som huvudsyfte att kunna positionera ut en användare i ett koordinatsystem med hjälp av XYvärden. Genom att triangulering användes för att kunna positionera ut en användare uppnådde studien en medelmarginal på ungefär 76 centimeter när fem stycken beacons användes i ett område på 4 x 3 meter, vilket vi ansåg som godkänt för att kunna dra slutsatsen att BLE beacon är ett lämpligt verktyg när det kommer till en inomhuspositionering. Slutsatsen blev även att det skiljer sig avsevärt mycket i precision om man använder sig av för få eller helt enkelt dåligt placerade beacons.

Different navigation techniques are something that people uses on a daily basis. It has been and still is an important part in the history of mankind, initially navigation was about being able to navigate at sea using the stars, and today many people around the world have some kind of smartphone that can be used as a navigation tool. Indoor positioning is something that has become a hot topic in the last decade and since GPS has bad precision indoors new technologies has been developed to navigate and position objects indoors. Some leading technologies now includes Bluetooth Low Energy beacons and Wi-Fi, where you can position a user indoors using triangulation-techniques. The question still remains, which technique is viable for indoor positioning. This study has been conducted as a combination of two strategies, starting with a comparison study of three different positioning techniques, BLE, Wi-Fi and GPS, to come to a conclusion which positioning technique is suitable for indoor…

Subjects/Keywords: Positioning; Indoor positioning; Positioning tools; Positionering; Positioneringsverktyg; Positioneringsteknik; Inomhuspositionering; Information Systems; Systemvetenskap, informationssystem och informatik

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Rasch, K. (2018). Inomhuspositionering med tre olika tekniker – Bluetooth Low Energy, Wi-Fi och GPS : En jämförelsestudie av positioneringsverktyg vid inomhuspositionering. (Thesis). Dalarna University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:du-27999

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Rasch, Kevin. “Inomhuspositionering med tre olika tekniker – Bluetooth Low Energy, Wi-Fi och GPS : En jämförelsestudie av positioneringsverktyg vid inomhuspositionering.” 2018. Thesis, Dalarna University. Accessed March 01, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:du-27999.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Rasch, Kevin. “Inomhuspositionering med tre olika tekniker – Bluetooth Low Energy, Wi-Fi och GPS : En jämförelsestudie av positioneringsverktyg vid inomhuspositionering.” 2018. Web. 01 Mar 2021.

Vancouver:

Rasch K. Inomhuspositionering med tre olika tekniker – Bluetooth Low Energy, Wi-Fi och GPS : En jämförelsestudie av positioneringsverktyg vid inomhuspositionering. [Internet] [Thesis]. Dalarna University; 2018. [cited 2021 Mar 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-27999.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rasch K. Inomhuspositionering med tre olika tekniker – Bluetooth Low Energy, Wi-Fi och GPS : En jämförelsestudie av positioneringsverktyg vid inomhuspositionering. [Thesis]. Dalarna University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-27999

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Cape Peninsula University of Technology

7. Sehloho, Nobaene Elizabeth. An indoor positioning system using multiple methods and tools .

Degree: 2015, Cape Peninsula University of Technology

URL: http://etd.cput.ac.za/handle/20.500.11838/2288

► Recently, the deployment and availability of wireless technology have led to the development of location and positioning services. These Location Based Services (LBSs) are attracting… (more)

Subjects/Keywords: Indoor positioning systems (Wireless localization); Global Positioning System; Wireless communication systems; Wireless LANs

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sehloho, N. E. (2015). An indoor positioning system using multiple methods and tools . (Thesis). Cape Peninsula University of Technology. Retrieved from http://etd.cput.ac.za/handle/20.500.11838/2288

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sehloho, Nobaene Elizabeth. “An indoor positioning system using multiple methods and tools .” 2015. Thesis, Cape Peninsula University of Technology. Accessed March 01, 2021. http://etd.cput.ac.za/handle/20.500.11838/2288.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sehloho, Nobaene Elizabeth. “An indoor positioning system using multiple methods and tools .” 2015. Web. 01 Mar 2021.

Vancouver:

Sehloho NE. An indoor positioning system using multiple methods and tools . [Internet] [Thesis]. Cape Peninsula University of Technology; 2015. [cited 2021 Mar 01]. Available from: http://etd.cput.ac.za/handle/20.500.11838/2288.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sehloho NE. An indoor positioning system using multiple methods and tools . [Thesis]. Cape Peninsula University of Technology; 2015. Available from: http://etd.cput.ac.za/handle/20.500.11838/2288

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

8. Guo, Yi. UHF passive RFID-based indoor navigation system : design and implementation.

Degree: 2015, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-91355 ; https://doi.org/10.14711/thesis-b1514468 ; http://repository.ust.hk/ir/bitstream/1783.1-91355/1/th_redirect.html

► Radio frequency identification (RFID) has experienced tremendous development in recent decades and has been widely applied into many areas in industry and daily life. The… (more)

▼ Radio frequency identification (RFID) has experienced tremendous development in recent decades and has been widely applied into many areas in industry and daily life. The rapid development of microelectronic technology makes RFID tags smaller, cheaper, and more powerful, especially in ultra high frequency (UHF) passive RFID technology. These remarkable technical advances have resulted in more and more supermarkets and libraries, such as Walt-Mart and university libraries, introducing RFID techniques into their traditional systems. Utilizing these existing RFID infrastructure to perform value-added services, such as user behavior analysis and item positioning, becomes a hot research topic, where indoor navigation using UHF passive RFID system is the representational one. A typical process of indoor navigation service contains three periods: identifying the user, positioning the user, and navigating the user. In our first work, we propose a user identification mechanism called OpenSesame, which employs the users’ waving patterns to identify the user. The key feature of this work lies in using four fine-grained and statistic features of handwaving to verify users. In our second work, we propose BackPos, a fine-grained backscatter positioning technique using the COTS RFID products with detected phases. Our studies show that the phase is a stable indicator highly related to tag’s position and preserved over frequency or tag orientation, but challenged by its periodicity and tag’s diversity. We attempt to infer the distance differences from phases detected by antennas under triangle constraint. Further, hyperbolic positioning using the distance differences is employed to shrink the tag’s candidate positions until finding out the real one. In our third work, we propose RollCaller to utilize existing indoor objects with attached RFID tags and a reader to navigate users to their destinations, without need of any extra hardware. The key insight is that a person’s movement has an impact on the frequency shift values collected from indoor objects when close to a tag. Such local human-item spatial relation is leveraged to infer the users position and further navigate the user to a destination step by step.

Subjects/Keywords: Radio frequency identification systems ; Data processing ; Indoor positioning systems (Wireless localization)

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Guo, Y. (2015). UHF passive RFID-based indoor navigation system : design and implementation. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-91355 ; https://doi.org/10.14711/thesis-b1514468 ; http://repository.ust.hk/ir/bitstream/1783.1-91355/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Guo, Yi. “UHF passive RFID-based indoor navigation system : design and implementation.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-91355 ; https://doi.org/10.14711/thesis-b1514468 ; http://repository.ust.hk/ir/bitstream/1783.1-91355/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Guo, Yi. “UHF passive RFID-based indoor navigation system : design and implementation.” 2015. Web. 01 Mar 2021.

Vancouver:

Guo Y. UHF passive RFID-based indoor navigation system : design and implementation. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-91355 ; https://doi.org/10.14711/thesis-b1514468 ; http://repository.ust.hk/ir/bitstream/1783.1-91355/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Guo Y. UHF passive RFID-based indoor navigation system : design and implementation. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: http://repository.ust.hk/ir/Record/1783.1-91355 ; https://doi.org/10.14711/thesis-b1514468 ; http://repository.ust.hk/ir/bitstream/1783.1-91355/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Technology, Sydney

9. Ahmad, MYB. Novel techniques for improved indoor positioning and localization using HF RFID.

Degree: 2013, University of Technology, Sydney

URL: http://hdl.handle.net/10453/23493

► This thesis investigates High Frequency Radio Frequency Identification (HF RFID) based positioning using a novel concept of multi-loop bridge reader antenna to localise moving objects… (more)

▼ This thesis investigates High Frequency Radio Frequency Identification (HF RFID) based positioning using a novel concept of multi-loop bridge reader antenna to localise moving objects such as autonomous wheelchairs in indoor environments. Typical HF RFIDs operate at 13.56 MHz and employ passive tags which are excited by the magnetic field radiated by the reader antenna. Positioning of moving objects using HF RFID systems derive location information by averaging the coordinates of detected passive floor tags by a portable reader antenna which are then recorded in the reader’s memory and database. To successfully detect floor tags, the reader’s antenna usually installed at the base of a moving object needs to be parallel to the floor. The magnetic field radiated by the HF RFID antenna is confined within its near field zone i.e., it is confined to a very close proximity of the antenna. This property of HF RFID helps to minimise interference to other appliances that may be present within the localisation area. Thus, HF RFID based positioning offers great potential benefit in providing location assistance in environments such as nursing homes, health care facilities, hospitals etc. However, despite the significant developments that have occurred in this field, there still exist problems with positioning accuracies obtainable mainly due to the uncertainty of the reader recognition area (RRA) of the reader antenna, which has not been fully addressed in literature. This thesis aims to address this problem by proposing the concept of multi-loop bridge reader antenna so that the reader recognition area is divided into multiple sub zones and an error signal (bridge signal) in terms of the position of the tag will be generated that helps to reduce the position uncertainty. The thesis starts with an investigation of the methods for creating multiple zones of RRA and the concept of bridge loop antenna from point of view of near magnetic fields. Different types of loop antennas for employing at the reader are electromagnetically analysed using both closed form solutions and numerical computations. The formation of reader recognition area (RRA) from different arrangements of loop reader antennas is also studied. To ensure that proposed bridge antennas can perform in realistic, non-ideal indoor environments where they are affected by proximity of metallic objects etc, we proposed methods of improvement. Equivalent circuits that reduce the computational complexity but can provide a broader understanding of the behaviour of bridge antennas have been formulated. This has lead to investigation of methods to minimise and/or eliminate the effect of metallic objects on the bridge signals. Next, we investigate the applicability of the proposed bridge loop antenna for the localisation and positioning of an autonomous wheel chair resulting in a realistic implementation of HF RFID based positioning system. The system is then tested to localise an autonomous wheelchair in an indoor environment using a grid of passive floor tags. Novel…

Subjects/Keywords: HF RFID.; Radio frequency identification systems.; Indoor positioning.; Loop antenna.; Wheelchair design.; Indoor localization.

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ahmad, M. (2013). Novel techniques for improved indoor positioning and localization using HF RFID. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/23493

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ahmad, MYB. “Novel techniques for improved indoor positioning and localization using HF RFID.” 2013. Thesis, University of Technology, Sydney. Accessed March 01, 2021. http://hdl.handle.net/10453/23493.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ahmad, MYB. “Novel techniques for improved indoor positioning and localization using HF RFID.” 2013. Web. 01 Mar 2021.

Vancouver:

Ahmad M. Novel techniques for improved indoor positioning and localization using HF RFID. [Internet] [Thesis]. University of Technology, Sydney; 2013. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10453/23493.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ahmad M. Novel techniques for improved indoor positioning and localization using HF RFID. [Thesis]. University of Technology, Sydney; 2013. Available from: http://hdl.handle.net/10453/23493

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Rêgo, Miguel Lopes. Visible light positioning using a camera .

Degree: 2019, Universidade de Aveiro

URL: http://hdl.handle.net/10773/29720

► This dissertation focuses on the development of an indoor positioning system using a camera. The proposed system uses the camera as the only sensor, calculating… (more)

Subjects/Keywords: Visible light positioning; Indoor positioning systems; Optical camera communication; Camera; Image sensor; Visible light communication

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Rêgo, M. L. (2019). Visible light positioning using a camera . (Thesis). Universidade de Aveiro. Retrieved from http://hdl.handle.net/10773/29720

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Rêgo, Miguel Lopes. “Visible light positioning using a camera .” 2019. Thesis, Universidade de Aveiro. Accessed March 01, 2021. http://hdl.handle.net/10773/29720.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Rêgo, Miguel Lopes. “Visible light positioning using a camera .” 2019. Web. 01 Mar 2021.

Vancouver:

Rêgo ML. Visible light positioning using a camera . [Internet] [Thesis]. Universidade de Aveiro; 2019. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10773/29720.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rêgo ML. Visible light positioning using a camera . [Thesis]. Universidade de Aveiro; 2019. Available from: http://hdl.handle.net/10773/29720

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

11. Jiang, Caigao ECE. Large scale WiFi indoor localization.

Degree: 2018, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-102346 ; https://doi.org/10.14711/thesis-991012588365203412 ; http://repository.ust.hk/ir/bitstream/1783.1-102346/1/th_redirect.html

► A large collections of prior techniques proposed in WIFI indoor localization using received signal strength fingerprint. However, the practical WIFI localization system has not been… (more)

Subjects/Keywords: Indoor positioning systems (Wireless localization) ; Design and construction ; Mathematical models

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jiang, C. E. (2018). Large scale WiFi indoor localization. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-102346 ; https://doi.org/10.14711/thesis-991012588365203412 ; http://repository.ust.hk/ir/bitstream/1783.1-102346/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Jiang, Caigao ECE. “Large scale WiFi indoor localization.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-102346 ; https://doi.org/10.14711/thesis-991012588365203412 ; http://repository.ust.hk/ir/bitstream/1783.1-102346/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Jiang, Caigao ECE. “Large scale WiFi indoor localization.” 2018. Web. 01 Mar 2021.

Vancouver:

Jiang CE. Large scale WiFi indoor localization. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-102346 ; https://doi.org/10.14711/thesis-991012588365203412 ; http://repository.ust.hk/ir/bitstream/1783.1-102346/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jiang CE. Large scale WiFi indoor localization. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: http://repository.ust.hk/ir/Record/1783.1-102346 ; https://doi.org/10.14711/thesis-991012588365203412 ; http://repository.ust.hk/ir/bitstream/1783.1-102346/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Mid Sweden University

12. Liu, Honggang. Research and implementation of an indoor positioning algorithm.

Degree: Information Systems and Technology, 2017, Mid Sweden University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-32394

► The goal of the Internet of Things’ sensing technology is to provide LBS(location-based services); a key technology is finding out how to positioning the… (more)

Subjects/Keywords: Wireless sensor network; Indoor positioning; Wi-Fi; ZigBee; Computer Systems; Datorsystem

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Liu, H. (2017). Research and implementation of an indoor positioning algorithm. (Thesis). Mid Sweden University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-32394

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Liu, Honggang. “Research and implementation of an indoor positioning algorithm.” 2017. Thesis, Mid Sweden University. Accessed March 01, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-32394.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Liu, Honggang. “Research and implementation of an indoor positioning algorithm.” 2017. Web. 01 Mar 2021.

Vancouver:

Liu H. Research and implementation of an indoor positioning algorithm. [Internet] [Thesis]. Mid Sweden University; 2017. [cited 2021 Mar 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-32394.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu H. Research and implementation of an indoor positioning algorithm. [Thesis]. Mid Sweden University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-32394

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

13. Wong, Tsz Lung. Automatic map construction with video survey for indoor WiFi-based localization.

Degree: 2015, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-78821 ; https://doi.org/10.14711/thesis-b1514384 ; http://repository.ust.hk/ir/bitstream/1783.1-78821/1/th_redirect.html

► With the fast development of the mobile Internet, data and multimedia services are expanding rapidly, and the demand of Location Based Services (LBSs) is also… (more)

Subjects/Keywords: Location-based services ; Wireless localization ; Indoor positioning systems (Wireless localization)

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wong, T. L. (2015). Automatic map construction with video survey for indoor WiFi-based localization. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-78821 ; https://doi.org/10.14711/thesis-b1514384 ; http://repository.ust.hk/ir/bitstream/1783.1-78821/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wong, Tsz Lung. “Automatic map construction with video survey for indoor WiFi-based localization.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-78821 ; https://doi.org/10.14711/thesis-b1514384 ; http://repository.ust.hk/ir/bitstream/1783.1-78821/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wong, Tsz Lung. “Automatic map construction with video survey for indoor WiFi-based localization.” 2015. Web. 01 Mar 2021.

Vancouver:

Wong TL. Automatic map construction with video survey for indoor WiFi-based localization. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-78821 ; https://doi.org/10.14711/thesis-b1514384 ; http://repository.ust.hk/ir/bitstream/1783.1-78821/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wong TL. Automatic map construction with video survey for indoor WiFi-based localization. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: http://repository.ust.hk/ir/Record/1783.1-78821 ; https://doi.org/10.14711/thesis-b1514384 ; http://repository.ust.hk/ir/bitstream/1783.1-78821/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

14. Xu, Han. Towards ubiquitous indoor localization service via multi-modal sensing on smartphones.

Degree: 2016, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-87784 ; https://doi.org/10.14711/thesis-b1750045 ; http://repository.ust.hk/ir/bitstream/1783.1-87784/1/th_redirect.html

► Indoor localization is of great importance to a wide range of applications in this era of mobile computing, attracting extensive research effort over recent decades.… (more)

▼ Indoor localization is of great importance to a wide range of applications in this era of mobile computing, attracting extensive research effort over recent decades. Current mainstream solutions rely on Received Signal Strength (RSS) of wireless signals as fingerprints to distinguish and infer locations. However, those methods suffer from fingerprint ambiguity that roots in multipath fading and temporal dynamics of wireless signals, which invalidate theoretical propagation models, distort received signal signatures, and fundamentally constrain the performance of indoor localization. With the trend moving towards equipment of smart devices in daily life and adoption of enhanced sensors, we identify the opportunity of ubiquitous indoor localization service via the multi-modal sensing abilities on smartphones. Firstly, we propose Argus, an image-assisted localization solution for mobile devices by harnessing their Visual Sensing abilities. The basic idea of Argus is to extract geometric constraints from crowdsourced photos, and to reduce fingerprint ambiguity by mapping the constraints jointly against the fingerprint space. Secondly, we design TUM, an Acoustic Sensing localization scheme Towards Ubiquitous Multi-device localization. The basic idea of RAD is to utilize the dual-microphones and speakers to obtain distance cues among devices, while resolving the localization ambiguity with the help of MEMS sensors. Thirdly, we exploit the Inertial Sensing abilities on smartphones and propose RAD. The basic idea is to automatically generate a fingerprint database through space partition, while achieving fine-grained localization via a discretized particle filter with sensor data fusion. Finally, we design an indoor localization system ClickLoc that achieves sub-meter accuracy by harnessing Multi-Modal Sensing abilities on smartphones. We prototype the above schemes with commodity devices, and evaluate their performances in various indoor environments. Experimental results demonstrate improved indoor localization accuracy, better user interaction and less overhead compared with classical RSS-based schemes.

Subjects/Keywords: Indoor positioning systems (Wireless localization) ; Ubiquitous computing ; Signal processing

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Xu, H. (2016). Towards ubiquitous indoor localization service via multi-modal sensing on smartphones. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-87784 ; https://doi.org/10.14711/thesis-b1750045 ; http://repository.ust.hk/ir/bitstream/1783.1-87784/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Xu, Han. “Towards ubiquitous indoor localization service via multi-modal sensing on smartphones.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-87784 ; https://doi.org/10.14711/thesis-b1750045 ; http://repository.ust.hk/ir/bitstream/1783.1-87784/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Xu, Han. “Towards ubiquitous indoor localization service via multi-modal sensing on smartphones.” 2016. Web. 01 Mar 2021.

Vancouver:

Xu H. Towards ubiquitous indoor localization service via multi-modal sensing on smartphones. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-87784 ; https://doi.org/10.14711/thesis-b1750045 ; http://repository.ust.hk/ir/bitstream/1783.1-87784/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu H. Towards ubiquitous indoor localization service via multi-modal sensing on smartphones. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: http://repository.ust.hk/ir/Record/1783.1-87784 ; https://doi.org/10.14711/thesis-b1750045 ; http://repository.ust.hk/ir/bitstream/1783.1-87784/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

15. He, Suining CSE. Enhancing accuracy for fingerprint-based indoor localization.

Degree: 2016, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-100457 ; https://doi.org/10.14711/thesis-b1628159 ; http://repository.ust.hk/ir/bitstream/1783.1-100457/1/th_redirect.html

► The commercial potential of indoor location-based services (ILBS) has spurred recent development of many indoor positioning techniques. Fingerprinting has attracted much attention recently due to… (more)

▼ The commercial potential of indoor location-based services (ILBS) has spurred recent development of many indoor positioning techniques. Fingerprinting has attracted much attention recently due to its adaptivity to none-line-of-sight measurement from access points (APs) and high applicability in complex indoor environment. Offering quality ILBS requires accurate indoor positioning. In this thesis, we study several approaches to make Wi-Fi fingerprinting highly accurate. The approaches are to mitigate noisy signal measurement, to fuse distance sensor with fingerprinting, and to adaptively learn fingerprint patterns over time. We will conduct extensive experimental studies to validate the performance of the approaches. Previous fingerprinting positioning based on certain similarity metric often suffers from ambiguous matching problem of reference points, resulting in high decision uncertainty. To address this, we propose a novel approach based on junction of signal tiles, which are formed based on the first two moments of the signals. The target location is then constrained within the junction area. This overcomes position ambiguity problem and achieves highly accurate positioning. To further enhance the localization accuracy, we study how to fuse fingerprint with distance information. Our approach is applicable to a wide range of sensors (peer-assisted, inertial navigation sensor, beacons, etc.) and wireless fingerprints (Wi-Fi, Bluetooth, etc.). By a novel optimization formulation which jointly fuses distance bounds and measured fingerprint signals, it achieves low positioning errors even under complex indoor environment. Fingerprinting accuracy deteriorates if the AP signals are altered (due to AP movement, partitioning, etc.). To address this, the signal map needs to be adapted overtime. We propose and study a novel clustering-based scheme which can localize targets despite AP alteration, and can identify the altered APs. Using a novel online learning approach, our algorithm can also adapt the fingerprint map to the altered signal environment.

Subjects/Keywords: Indoor positioning systems (Wireless localization) ; Wireless localization ; Location-based services

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

He, S. C. (2016). Enhancing accuracy for fingerprint-based indoor localization. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-100457 ; https://doi.org/10.14711/thesis-b1628159 ; http://repository.ust.hk/ir/bitstream/1783.1-100457/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

He, Suining CSE. “Enhancing accuracy for fingerprint-based indoor localization.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-100457 ; https://doi.org/10.14711/thesis-b1628159 ; http://repository.ust.hk/ir/bitstream/1783.1-100457/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

He, Suining CSE. “Enhancing accuracy for fingerprint-based indoor localization.” 2016. Web. 01 Mar 2021.

Vancouver:

He SC. Enhancing accuracy for fingerprint-based indoor localization. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-100457 ; https://doi.org/10.14711/thesis-b1628159 ; http://repository.ust.hk/ir/bitstream/1783.1-100457/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

He SC. Enhancing accuracy for fingerprint-based indoor localization. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: http://repository.ust.hk/ir/Record/1783.1-100457 ; https://doi.org/10.14711/thesis-b1628159 ; http://repository.ust.hk/ir/bitstream/1783.1-100457/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

16. Wang, Yuxi CSE. Promoting WiFi-based motion sensing using channel state information.

Degree: 2017, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-105596 ; https://doi.org/10.14711/thesis-991012554167503412 ; http://repository.ust.hk/ir/bitstream/1783.1-105596/1/th_redirect.html

► Motion sensing, which studies the changes of people's location and posture, has been applied for various applications, such as location-based services, household appliance control, and… (more)

▼ Motion sensing, which studies the changes of people's location and posture, has been applied for various applications, such as location-based services, household appliance control, and motion sensing games. Motion sensing systems can be classified into two categories for sensing purposes: location-related and posture-related. Location-related motion sensing systems detect the instantaneous location or the moving trajectories of human, while posture-related motion sensing approaches sense the posture variation and the human movements. Various techniques have been utilized to achieve motion sensing among which WiFi begins to receive more attention from academia and industry in the past decades due to the wide deployment and low cost of WiFi infrastructure. WiFi has been first adopted for indoor location-based services and then widely applied for human activity and gesture recognition. In this thesis, we follow this line of research and propose three WiFi-based motion sensing systems to enhance location-related and posture-related motion sensing. We take advantage of the WiFi physical layer channel state information and propose motion sensing systems for both sensing purposes. For location-related motion sensing, we propose WiShape which can sense the shape of the moving trajectory. WiShape studies the WiFi signal variation pattern of different trajectory shapes and shows a potential in corner shape detection. Then, we pay more attention to posture-related motion sensing and propose two device-free passive sensing systems, namely WiFall and WiWrite. WiFall establishes the relationship between WiFi signal variation and human activities to achieve precise fall detection. Our improvement of WiFall allows it to directly classify other daily activities indoors. We then study human limb posture and propose WiWrite, a device-free finger writing system. WiWrite detects the basic strokes decomposed from upper-case English letters by analyzing WiFi signal variation, and constructs English alphabets and words based on the strokes to achieve text entry.

Subjects/Keywords: Motion detectors ; Indoor positioning systems (Wireless localization) ; Wireless LANs

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wang, Y. C. (2017). Promoting WiFi-based motion sensing using channel state information. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-105596 ; https://doi.org/10.14711/thesis-991012554167503412 ; http://repository.ust.hk/ir/bitstream/1783.1-105596/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Yuxi CSE. “Promoting WiFi-based motion sensing using channel state information.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-105596 ; https://doi.org/10.14711/thesis-991012554167503412 ; http://repository.ust.hk/ir/bitstream/1783.1-105596/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Yuxi CSE. “Promoting WiFi-based motion sensing using channel state information.” 2017. Web. 01 Mar 2021.

Vancouver:

Wang YC. Promoting WiFi-based motion sensing using channel state information. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-105596 ; https://doi.org/10.14711/thesis-991012554167503412 ; http://repository.ust.hk/ir/bitstream/1783.1-105596/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang YC. Promoting WiFi-based motion sensing using channel state information. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: http://repository.ust.hk/ir/Record/1783.1-105596 ; https://doi.org/10.14711/thesis-991012554167503412 ; http://repository.ust.hk/ir/bitstream/1783.1-105596/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Michigan State University

17. Qiu, Chen (Software engineer). Improving indoor positioning via mobile sensing.

Degree: 2017, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:4764

►

Thesis Ph. D. Michigan State University. Computer Science 2017

Accurate indoor position and movement information of devices enables numerous opportunities for location based services. Services… (more)

▼

Thesis Ph. D. Michigan State University. Computer Science 2017

Accurate indoor position and movement information of devices enables numerous opportunities for location based services. Services such as guiding users through buildings, highlighting nearby services within shopping malls, or tracking the number of steps taken are some of the opportunities available when accurate positioning information is computed by devices. GPS provides accurate localization results in an outdoor environment, such as navigation information for vehicles. Unfortunately, GPS cannot be applied indoors pervasively due to the various interferences.Indoor localization has been a challenging and significant topic in recent decades. Although extensive research has been dedicated to this field, accurate indoor location information remains a challenge without the incorporation of expensive devices or sophisticated infrastructures within buildings. We explored one practical approach for indoor map construction and four representative resolutions for indoor positioning.Considering most indoor localization approaches are based upon indoor maps, we develop techniques to construct indoor maps. Since indoor maps might be dynamic and updated regularly, we present iFrame, a dynamic approach that uses mobile sensing techniques for constructing 2-dimensional indoor maps. We abstract the unknown map as a matrix and use mobile devices that incorporate three mobile sensing technologies - accelerometers to support dead reckoning, Bluetooth RSSI detection, and WiFi RSSI detection. The layouts of rooms and hallways can be constructed automatically within 5-10 minutes.Based on the indoor map, we propose four indoor localization approaches by leveraging mobile sensing techniques. First, although GPS can not help indoor localization directly, we propose iLoom, which adopts a user's motion behaviors built by GPS information to enhance indoor localization. iLoom leverages an Acceleration Range Box to improve a user's acceleration value used for computing dead reckoning. By transfer learning the information from users' motion behaviors to the Acceleration Range Box, iLoom improves the Acceleration Range Box to achieve more accurate indoor positioning results. Second, we introduce CRISP - a prototype that leverages opportunities of the interaction of multiple smartphones to enhance indoor positioning. When mobile devices cooperate and share position information iteratively, the localization accuracies of mobile devices increases gradually. In addition, based upon the obtained location information, CRISP provide a pedometer that can avoid the accumulative errors caused by accelerometers. Third, we present SilentWhistle, a mobile prototype that incorporates acoustic information and motion traces on smartphones to locate users. When users encounter each other or related beacons, by measuring the relation between sound strength and distance, the initial location information obtained by dead reckoning can be enhanced by triangulations transferred from sound strength.…

Advisors/Committee Members: Mutka, Matt W, Xiao, Li, Xing, Guoliang, Zhang, Mi.

Subjects/Keywords: Indoor positioning systems (Wireless localization); Location-based services; Computer science

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Qiu, C. (. e. (2017). Improving indoor positioning via mobile sensing. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:4764

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Qiu, Chen (Software engineer). “Improving indoor positioning via mobile sensing.” 2017. Thesis, Michigan State University. Accessed March 01, 2021. http://etd.lib.msu.edu/islandora/object/etd:4764.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Qiu, Chen (Software engineer). “Improving indoor positioning via mobile sensing.” 2017. Web. 01 Mar 2021.

Vancouver:

Qiu C(e. Improving indoor positioning via mobile sensing. [Internet] [Thesis]. Michigan State University; 2017. [cited 2021 Mar 01]. Available from: http://etd.lib.msu.edu/islandora/object/etd:4764.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qiu C(e. Improving indoor positioning via mobile sensing. [Thesis]. Michigan State University; 2017. Available from: http://etd.lib.msu.edu/islandora/object/etd:4764

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Cape Peninsula University of Technology

18. Sagboze, Konzi Olivier. Real-time detection of attendance at a venue using mobile devices .

Degree: 2017, Cape Peninsula University of Technology

URL: http://etd.cput.ac.za/handle/20.500.11838/2676

► The implosion of the mobile phones, mobile applications and social media in recent years has triggered a great interest for more dedicated user-generated contents. Mobile… (more)

▼ The implosion of the mobile phones, mobile applications and social media in recent years has triggered a great interest for more dedicated user-generated contents. Mobile users being the focal point, these modern virtual platforms depend on and live for collecting, structuring and manipulating the very fine-grained details about users' day-to-day activities. Since every human activity takes place in a geographical context, location information ranks high among the set of data to gather about user's daily life. User's specific location details can help filter content to serve and retrieve from them. Therefore, location-based services have been developed and successfully integrated into most virtual platforms in the quest for these precious data. However, location-based services do not fulfil all requirements. They depend on a range of positioning systems which show numerous limitations. None of the existing positioning systems is perfectly accurate. Today, it is therefore difficult to pinpoint a user in a venue using location-based services. Nevertheless, with the set of existing technology and techniques, it is possible to estimate and track users’ whereabouts in real-time. Providing the best possible estimation of user's position within a given venue can help achieve better user engagement. Depending on the gap of accuracy, the end result may actually match the outcome expected from perfectly accurate positioning systems. In this work, the focus is to develop a prototype positioning system which provides the best estimation of user's position in real-time in relation to a targeted venue or location. Through a series of research and comparison study, the most suited technology and techniques are objectively selected to build the intended prototype. The challenge of indoor positioning is also addressed in this work – bearing in mind the fact that this prototype is set to work accurately and efficiently in any geographical location and structure. The prototype is evaluated according to a set of predefined standard metrics, and theories are extracted to grow knowledge about this trending topic. Advisors/Committee Members: Kabaso, Boniface (advisor).

Subjects/Keywords: Mobile geographic information systems; Indoor positioning systems (Wireless localization); Cell phone systems

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sagboze, K. O. (2017). Real-time detection of attendance at a venue using mobile devices . (Thesis). Cape Peninsula University of Technology. Retrieved from http://etd.cput.ac.za/handle/20.500.11838/2676

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sagboze, Konzi Olivier. “Real-time detection of attendance at a venue using mobile devices .” 2017. Thesis, Cape Peninsula University of Technology. Accessed March 01, 2021. http://etd.cput.ac.za/handle/20.500.11838/2676.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sagboze, Konzi Olivier. “Real-time detection of attendance at a venue using mobile devices .” 2017. Web. 01 Mar 2021.

Vancouver:

Sagboze KO. Real-time detection of attendance at a venue using mobile devices . [Internet] [Thesis]. Cape Peninsula University of Technology; 2017. [cited 2021 Mar 01]. Available from: http://etd.cput.ac.za/handle/20.500.11838/2676.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sagboze KO. Real-time detection of attendance at a venue using mobile devices . [Thesis]. Cape Peninsula University of Technology; 2017. Available from: http://etd.cput.ac.za/handle/20.500.11838/2676

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Cape Peninsula University of Technology

19. Sakpere, Wilson Evuarherhe. A near field communication framework for indoor navigation : design and deployment considerations .

Degree: 2015, Cape Peninsula University of Technology

URL: http://etd.cput.ac.za/handle/20.500.11838/2290

► Navigation systems are known to provide time and location information for easy and accurate navigation in a specified environment. While Global Positioning System (GPS) has… (more)

▼ Navigation systems are known to provide time and location information for easy and accurate navigation in a specified environment. While Global Positioning System (GPS) has recorded a considerable success for navigating outdoors, the absence of GPS indoors has made orientation in an indoor environment challenging. Furthermore, existing technologies and methods of indoor positioning and navigation, such as WLAN, Bluetooth and Infrared, have been complex, inaccurate, expensive and challenging to implement; thereby limiting the usability of these technologies in less developed countries. This limitation of navigation services makes it difficult and time consuming to locate a destination in indoor and closed spaces. Hence, recent works with Near Field Communication (NFC) has kindled interest in positioning and navigation. While navigating, users in less developed nations face several challenges, such as infrastructure complexity, high-cost solution, inaccuracy and usability. However, this research focuses on providing interventions to alleviate usability challenges, in order to strengthen the overall accuracy and the navigation effectiveness in stringent environments through the experiential manipulation of technical attributes of the positioning and navigation system in indoor environments. Therefore, this study adopted the realist ontology and the positivist epistemological approach. It followed a quantitative and experimental method of empirical enquiry, and software engineering and synthesis research methods. The study entails three implementation processes, namely map generation, positioning framework and navigation service using a prototype mobile navigation application that uses the NFC technology. It used open-source software and hardware engineering tools, instruments and technologies, such as Ubuntu Linux, Android Software Development Kit, Arduino, NFC APIs and PandaBoard. The data was collected and the findings evaluated in three stages: pre-test, experiment and post-test. Advisors/Committee Members: Mlitwa, Nhlanhla (advisor), Adeyeye, Michael (advisor).

Subjects/Keywords: Mobile geographic information systems; Wireless communication systems; Electronics in navigation; Global Positioning System; Indoor positioning systems (Wireless localization)

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sakpere, W. E. (2015). A near field communication framework for indoor navigation : design and deployment considerations . (Thesis). Cape Peninsula University of Technology. Retrieved from http://etd.cput.ac.za/handle/20.500.11838/2290

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sakpere, Wilson Evuarherhe. “A near field communication framework for indoor navigation : design and deployment considerations .” 2015. Thesis, Cape Peninsula University of Technology. Accessed March 01, 2021. http://etd.cput.ac.za/handle/20.500.11838/2290.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sakpere, Wilson Evuarherhe. “A near field communication framework for indoor navigation : design and deployment considerations .” 2015. Web. 01 Mar 2021.

Vancouver:

Sakpere WE. A near field communication framework for indoor navigation : design and deployment considerations . [Internet] [Thesis]. Cape Peninsula University of Technology; 2015. [cited 2021 Mar 01]. Available from: http://etd.cput.ac.za/handle/20.500.11838/2290.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sakpere WE. A near field communication framework for indoor navigation : design and deployment considerations . [Thesis]. Cape Peninsula University of Technology; 2015. Available from: http://etd.cput.ac.za/handle/20.500.11838/2290

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

20. Liu, Junliang. Building tomography : automatic floor plan generation for indoor localization.

Degree: 2013, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-61632 ; https://doi.org/10.14711/thesis-b1250317 ; http://repository.ust.hk/ir/bitstream/1783.1-61632/1/th_redirect.html

► Indoor localization is of great importance for a range of pervasive applications, attracting many research eorts in the past decades. Most radio-based solutions require 1)… (more)

▼ Indoor localization is of great importance for a range of pervasive applications, attracting many research eorts in the past decades. Most radio-based solutions require 1) priori knowledge of buildings, usually represented as a floor plan and 2) a process of site survey, in which radio signatures of an interested area are annotated with their real recorded locations. Floor plan plays an essential role in many indoor pervasive and mobile applications, but its collection and on-site calibration are inconvenient and usually prohibitively costly for map providers. Site survey involves intensive costs on manpower and time. In this study, we investigate novel sensors integrated in modern mobile phones and leverage user motions to release the human efforts in constructing the floor map of a building. We propose Building Tomography, which automatically explores indoor architectural layouts and samples radio fingerprints. Building Tomography generates a floor plan illustrating a number of key spatial elements like rooms, corridors, walls, and other physical features at one level of a building, and constructs corresponding radio map towards it. Our idea is based on human-centric sensing and crowdsourcing. The popularity of smartphones, with rich built-in sensors, enables fine-grained sensory records on human mobility and activity. Although the records from one user might be less useful, a large amount of contributing users enrich the records to an applicable level so that the interior layout of a building emerges. Our main contribution is to design and implement a building tomography system that is inexpensive and pervasive. No building knowledge is required and all sensor readings are collected by off-the-shelf smartphones. To validate this design, we deploy a prototype system and conduct experiments in an office building. Results show that the generated floor plan accurately reflects real layout and is able to facilitate many pervasive applications, including indoor localization and navigation. To put the building tomography system into practice, we also address location privacy issues in wireless and mobile networks by proposing Adhoc Anonymity location privacy preservation scheme. Adhoc Anonymity works for self-centered users and in the absence of intermediary, and thus well fits the task of protecting user privacy in crowdsourcing. To demonstrate the importance of location and localization, we also conduct a case study of localization application in mobile networks. ReC is a VANET protocol that utilizes location information to enhance geocasting efficiency and reliability.

Subjects/Keywords: Signal processing ; Radio frequency allocation ; Localization theory ; Indoor positioning systems (Wireless communication systems)

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Liu, J. (2013). Building tomography : automatic floor plan generation for indoor localization. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-61632 ; https://doi.org/10.14711/thesis-b1250317 ; http://repository.ust.hk/ir/bitstream/1783.1-61632/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Liu, Junliang. “Building tomography : automatic floor plan generation for indoor localization.” 2013. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-61632 ; https://doi.org/10.14711/thesis-b1250317 ; http://repository.ust.hk/ir/bitstream/1783.1-61632/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Liu, Junliang. “Building tomography : automatic floor plan generation for indoor localization.” 2013. Web. 01 Mar 2021.

Vancouver:

Liu J. Building tomography : automatic floor plan generation for indoor localization. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-61632 ; https://doi.org/10.14711/thesis-b1250317 ; http://repository.ust.hk/ir/bitstream/1783.1-61632/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu J. Building tomography : automatic floor plan generation for indoor localization. [Thesis]. Hong Kong University of Science and Technology; 2013. Available from: http://repository.ust.hk/ir/Record/1783.1-61632 ; https://doi.org/10.14711/thesis-b1250317 ; http://repository.ust.hk/ir/bitstream/1783.1-61632/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

21. Wang, Yongduo. Adaptive multi-floor room-level localization system with crowd-sourced WiFi data.

Degree: 2015, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-78822 ; https://doi.org/10.14711/thesis-b1514383 ; http://repository.ust.hk/ir/bitstream/1783.1-78822/1/th_redirect.html

► WiFi received signal strength (RSS) fingerprinting is a promising method for indoor localization but it faces two significant challenges: a laborious and time-consuming off-line survey… (more)

Subjects/Keywords: Wireless localization ; Wireless communication systems ; Data processing ; Indoor positioning systems (Wireless localization)

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wang, Y. (2015). Adaptive multi-floor room-level localization system with crowd-sourced WiFi data. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-78822 ; https://doi.org/10.14711/thesis-b1514383 ; http://repository.ust.hk/ir/bitstream/1783.1-78822/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Yongduo. “Adaptive multi-floor room-level localization system with crowd-sourced WiFi data.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-78822 ; https://doi.org/10.14711/thesis-b1514383 ; http://repository.ust.hk/ir/bitstream/1783.1-78822/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Yongduo. “Adaptive multi-floor room-level localization system with crowd-sourced WiFi data.” 2015. Web. 01 Mar 2021.

Vancouver:

Wang Y. Adaptive multi-floor room-level localization system with crowd-sourced WiFi data. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-78822 ; https://doi.org/10.14711/thesis-b1514383 ; http://repository.ust.hk/ir/bitstream/1783.1-78822/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang Y. Adaptive multi-floor room-level localization system with crowd-sourced WiFi data. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: http://repository.ust.hk/ir/Record/1783.1-78822 ; https://doi.org/10.14711/thesis-b1514383 ; http://repository.ust.hk/ir/bitstream/1783.1-78822/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

22. Yang, Zhice. Wireless communication design for mobile systems.

Degree: 2016, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-86997 ; https://doi.org/10.14711/thesis-b1628173 ; http://repository.ust.hk/ir/bitstream/1783.1-86997/1/th_redirect.html

► In recent years, there has been a rapid growth of mobile devices such as smart phones and wearables. As the major approach of exchanging information… (more)

Subjects/Keywords: Wireless communication systems ; Design and construction ; Indoor positioning systems (Wireless localization) ; Wireless LANs

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Yang, Z. (2016). Wireless communication design for mobile systems. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-86997 ; https://doi.org/10.14711/thesis-b1628173 ; http://repository.ust.hk/ir/bitstream/1783.1-86997/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yang, Zhice. “Wireless communication design for mobile systems.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-86997 ; https://doi.org/10.14711/thesis-b1628173 ; http://repository.ust.hk/ir/bitstream/1783.1-86997/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yang, Zhice. “Wireless communication design for mobile systems.” 2016. Web. 01 Mar 2021.

Vancouver:

Yang Z. Wireless communication design for mobile systems. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-86997 ; https://doi.org/10.14711/thesis-b1628173 ; http://repository.ust.hk/ir/bitstream/1783.1-86997/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang Z. Wireless communication design for mobile systems. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: http://repository.ust.hk/ir/Record/1783.1-86997 ; https://doi.org/10.14711/thesis-b1628173 ; http://repository.ust.hk/ir/bitstream/1783.1-86997/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

23. Öhrström, Tobias. The precision of RSSI-fingerprinting based on connected Wi-Fi devices.

Degree: Education and IT, 2017, University of Borås

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-12161

► Received Signal Strength Indication (RSSI) fingerprinting is a popular technique in the fieldof indoor positioning. Many studies on the subject exist acknowledging Wi-Fi signal… (more)

▼ Received Signal Strength Indication (RSSI) fingerprinting is a popular technique in the fieldof indoor positioning. Many studies on the subject exist acknowledging Wi-Fi signal variationconnected to Wi-Fi signals, but does not discuss possible signal variation created byconnected devices nor consequential precision loss.Understanding more about the origins of signal variation in received signal strength indication(RSSI) fingerprinting would help deal with or prevent them as well as provide moreknowledge for applications based on such signals. Environments with a varying number ofconnected devices would benefit from knowing changes in localization precision resultingfrom the devices connecting and disconnecting from the access point because it wouldindicate whether workarounds for such circumstances would be necessary.To address this issue, the work presented here focuses on how the precision of RSSIfingerprinting vary given different levels of connected Wi-Fi devices. It was carried out byconducting real world experiments at times of low- and normal levels of connected devices toaccess points on two separate locations and evaluating precision changes between statedactivity levels. These experiments took place at the University of Borås as well as at Ericssonin Borås.Experimental findings indicate that the accuracy does deteriorate in higher levels of activitythan in low activity, even though not enough evidence to determine the precision ofdeterioration. The experiments thereby provide a foundation for location-based applicationsand services that can communicate the level of positional error that exist in differentenvironments which would make the users aware but also make the applications adaptaccordingly to different environments. Based on the precision achieved, we identify variousapplications that would benefit from our proposed model. These were applications that wouldtrack mobile resources, find immobile resources, find the movement flows of users as well asnavigation- and Wi-Fi coverage applications.Further research for investigating the exact correlation between access point stress andprecision loss is proposed to fully understand the implications connected devices have onRSSI fingerprinting.

Subjects/Keywords: RSSI fingerprinting; Connected devices; Indoor positioning; Indoor localization; Suitable applications; Information Systems, Social aspects; Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Öhrström, T. (2017). The precision of RSSI-fingerprinting based on connected Wi-Fi devices. (Thesis). University of Borås. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-12161

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Öhrström, Tobias. “The precision of RSSI-fingerprinting based on connected Wi-Fi devices.” 2017. Thesis, University of Borås. Accessed March 01, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-12161.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Öhrström, Tobias. “The precision of RSSI-fingerprinting based on connected Wi-Fi devices.” 2017. Web. 01 Mar 2021.

Vancouver:

Öhrström T. The precision of RSSI-fingerprinting based on connected Wi-Fi devices. [Internet] [Thesis]. University of Borås; 2017. [cited 2021 Mar 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-12161.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Öhrström T. The precision of RSSI-fingerprinting based on connected Wi-Fi devices. [Thesis]. University of Borås; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-12161

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

KTH

24. Jönsson, Lennart. Design av ett system för inomhuspositionering för ett litet företag med en öppen arbetsplats.

Degree: Computer Science and Communication (CSC), 2016, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193354

►

Teknologier som beacons och sensor noder för att exakt ta ut en inomhusposition har funnits i över ett decennium. Men kunskap om denna teknologi… (more)

▼

Teknologier som beacons och sensor noder för att exakt ta ut en inomhusposition har funnits i över ett decennium. Men kunskap om denna teknologi är inte vitt spridd. Denna studien har som mål att designa ett sätt att använda inomhuspositionering för företag med öppen arbetsplats, med hjälp av metoder som är kopplat till användarvänlighet tillsammans med tillgänglig teknik. Denna studien utfördes vid Apegroup, ett företag som har en öppen arbetsplats där deras anställda kan ändra på sin plats utöver dagen. Studien startade med en enkät som uppföljdes prototyper som testades med semi- strukturerade intervjuer med fokus på uppgifter att utföra under testerna. Under dessa samlades det information från testarna om deras önskemål och nödvändigheter kring ett sånt här system samt deras tankar kring personlig integritet och att bli positionerad. Resultatet av den här studien visade att de som svarade på enkäten hade några problem som handlade om öppna arbetsytor, mestadels när det kom till att boka rum samt att hitta kollegor. När dom blev presenterade en möjlig lösning att kontra dessa problem, så var testarna enhetliga om att dom skulle använda ett sådant system om det fanns idag. Angående integriteten, testarna hade inga problem med att visa deras position till andra inom företaget så länge denna informationen inte användes negativt.

Today, technology like beacons and sensor nodes for an accurate indoor positioning system has been around for near over a decade. However, this technology is not widely known. This study aims to design a way to make indoor positioning available to companies with open workspaces, using methods tied to user experience together available technology. This study was conducted at Apegroup, a company that has an open workspace where the employees can change their place throughout the day. The study started with a survey followed by prototypes with task-based think aloud semi-structured interviews. Gathering information from the participants on their wants and needs for a system like this as well as their thoughts on personal integrity in regards to being positioned. The results of this study conclude that the respondents of the survey did have issues when it came to the open workspace environment, mainly booking meeting rooms and finding colleagues. When presented a possible way to encounter these issues, the participants were unanimous that they would use a system like this if they were provided with it today. Regarding integrity, the participants did not have any issues presenting their location to others within the company as long as it was not used to monitor negatively.

Subjects/Keywords: Human Computer Interaction; Indoor Positioning; User Ex- perience; Indoor Maps; Location Based Systems; Human Computer Interaction; Människa-datorinteraktion (interaktionsdesign)

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jönsson, L. (2016). Design av ett system för inomhuspositionering för ett litet företag med en öppen arbetsplats. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193354

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Jönsson, Lennart. “Design av ett system för inomhuspositionering för ett litet företag med en öppen arbetsplats.” 2016. Thesis, KTH. Accessed March 01, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193354.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Jönsson, Lennart. “Design av ett system för inomhuspositionering för ett litet företag med en öppen arbetsplats.” 2016. Web. 01 Mar 2021.

Vancouver:

Jönsson L. Design av ett system för inomhuspositionering för ett litet företag med en öppen arbetsplats. [Internet] [Thesis]. KTH; 2016. [cited 2021 Mar 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193354.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jönsson L. Design av ett system för inomhuspositionering för ett litet företag med en öppen arbetsplats. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193354

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Colorado School of Mines

25. Card, Christopher Tyler. Qualitative image based localization in a large building.

Degree: MS(M.S.), Electrical Engineering and Computer Science, 2015, Colorado School of Mines

URL: http://hdl.handle.net/11124/17095

► Interest in indoor localization is growing because it is an important component of many applications (e.g. augmented reality, customer navigation). Image-based localization, using naturally-occurring features… (more)

Subjects/Keywords: computer vision; vision based navigation; indoor localization; image retrieval; Indoor positioning systems (Wireless localization); Computer vision; Image analysis; Image registration

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Card, C. T. (2015). Qualitative image based localization in a large building. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/17095

Chicago Manual of Style (16^th Edition):

Card, Christopher Tyler. “Qualitative image based localization in a large building.” 2015. Masters Thesis, Colorado School of Mines. Accessed March 01, 2021. http://hdl.handle.net/11124/17095.

MLA Handbook (7^th Edition):

Card, Christopher Tyler. “Qualitative image based localization in a large building.” 2015. Web. 01 Mar 2021.

Vancouver:

Card CT. Qualitative image based localization in a large building. [Internet] [Masters thesis]. Colorado School of Mines; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11124/17095.

Council of Science Editors:

Card CT. Qualitative image based localization in a large building. [Masters Thesis]. Colorado School of Mines; 2015. Available from: http://hdl.handle.net/11124/17095

Ryerson University

26. Moeini, Peyman. Location and sensing network for industrial automation.

Degree: 2016, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A5839

► The usages of Wireless Sensor Networks (WSN) have been growing exponentially. WSN are utilized for variety of applications such as monitoring environmental conditions of shipping… (more)

Subjects/Keywords: Wireless sensor networks – Industrial applications; Indoor positioning systems (Wireless localization); Wireless localization

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Moeini, P. (2016). Location and sensing network for industrial automation. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A5839

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Moeini, Peyman. “Location and sensing network for industrial automation.” 2016. Thesis, Ryerson University. Accessed March 01, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A5839.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Moeini, Peyman. “Location and sensing network for industrial automation.” 2016. Web. 01 Mar 2021.

Vancouver:

Moeini P. Location and sensing network for industrial automation. [Internet] [Thesis]. Ryerson University; 2016. [cited 2021 Mar 01]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A5839.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Moeini P. Location and sensing network for industrial automation. [Thesis]. Ryerson University; 2016. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A5839

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. Alsinglawi, Belal. Location estimation in smart homes setting with RFID systems.

Degree: 2017, Western Sydney University

URL: http://hdl.handle.net/1959.7/uws:44200

► Indoor localisation technologies are a core component of Smart Homes. Many applications within Smart Homes benefit from localisation technologies to determine the locations of things,… (more)

▼ Indoor localisation technologies are a core component of Smart Homes. Many applications within Smart Homes benefit from localisation technologies to determine the locations of things, objects and people. The tremendous characteristics of the Radio Frequency Identification (RFID) systems have become one of the enabler technologies in the Internet of Things (IOT) that connect objects and things wirelessly. RFID is a promising technology in indoor positioning that not only uniquely identifies entities but also locates affixed RFID tags on objects or subjects in stationary and real-time. The rapid advancement in RFID-based systems has sparked the interest of researchers in Smart Homes to employ RFID technologies and potentials to assist with optimising (non-) pervasive healthcare systems in automated homes. In this research localisation techniques and enabled positioning sensors are investigated. Passive RFID sensors are used to localise passive tags that are affixed to Smart Home objects and track the movement of individuals in stationary and real-time settings. In this study, we develop an affordable passive localisation platform using inexpensive passive RFID sensors. To fillful this aim, a passive localisation framework using minimum tracking resources (RFID sensors) has been designed. A localisation prototype and localisation application that examined the affixed RFID tag on objects to evaluate our proposed locaisation framework was then developed. Localising algorithms were utilised to achieve enhanced accuracy of localising one particular passive tag which that affixed to target objects. This thesis uses a general enough approach so that it could be applied more widely to other applications in addition to Health Smart Homes. A passive RFID localising framework is designed and developed through systematic procedures. A localising platform is built to test the proposed framework, along with developing a RFID tracking application using Java programming language and further data analysis in MATLAB. This project applies localisation procedures and evaluates them experimentally. The experimental study positively confirms that our proposed localisation framework is capable of enhancing the accuracy of the location of the tracked individual. The low-cost design uses only one passive RFID target tag, one RFID reader and three to four antennas. Advisors/Committee Members: Western Sydney University, School of Computing, Engineering and Mathematics (Host institution).

Subjects/Keywords: home automation; indoor positioning systems (wireless localization); Thesis (M.Sc. (Hons.)) – Western Sydney University, 2017

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Alsinglawi, B. (2017). Location estimation in smart homes setting with RFID systems. (Thesis). Western Sydney University. Retrieved from http://hdl.handle.net/1959.7/uws:44200

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Alsinglawi, Belal. “Location estimation in smart homes setting with RFID systems.” 2017. Thesis, Western Sydney University. Accessed March 01, 2021. http://hdl.handle.net/1959.7/uws:44200.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Alsinglawi, Belal. “Location estimation in smart homes setting with RFID systems.” 2017. Web. 01 Mar 2021.

Vancouver:

Alsinglawi B. Location estimation in smart homes setting with RFID systems. [Internet] [Thesis]. Western Sydney University; 2017. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1959.7/uws:44200.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alsinglawi B. Location estimation in smart homes setting with RFID systems. [Thesis]. Western Sydney University; 2017. Available from: http://hdl.handle.net/1959.7/uws:44200

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

28. Qiu, Kejie. Visible light communication-based indoor localization and path-planning system.

Degree: 2015, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-78827 ; https://doi.org/10.14711/thesis-b1514550 ; http://repository.ust.hk/ir/bitstream/1783.1-78827/1/th_redirect.html

► For mobile robots and position-based services, precise localization is the most fundamental capability while path-planning is an important application based on that. To realize that,… (more)

▼ For mobile robots and position-based services, precise localization is the most fundamental capability while path-planning is an important application based on that. To realize that, the cost and the performance of sensors are of great concern. We ﬁrst introduce a low-calculation-cost signal encoding and decomposition method. A low-cost localization and path-planning solution based on a novel Visible Light Communication (VLC) system for indoor environments is then introduced afterwards. A number of modulated LED lights are used as beacons to aid indoor localization additional to illumination. Each LED has a unique modulation code and ﬂashes at a same frequency, nevertheless no synchronization working conditions are required for signal decomposition, which further cut down the overall cost of the system. Three main technical parts comprise our system: light signal decomposition, localization and path-planning. Speciﬁcally, a Gold-sequence-based tiny-length beacon codes selection method is introduced. Accordingly, an asynchronous blind signal decomposition method is created for the modulated light signals decomposition to achieve robust signal feature extraction. A Gaussian Process (GP) is used to model the intensity distributions of the light sources. A Bayesian localization framework is constructed using the results of the GP, leading to precise localization. Path-planning is hereby feasible by only using the GP variance ﬁeld, rather than using a metric map. Graph-based path-planners are introduced to cope with the practical situations. Any smart device with a low-cost photonic sensor could then localize itself precisely in real time. We demonstrate our localization and path-planning system by real-time experiments performed on a tablet PC in an indoor environment. In contrast to existing widely-applied indoor localization approaches, like vision-based and laser-based methods, our approach reveals its advantages as low-cost, globally consistent and it retains the potential applications using VLC.

Subjects/Keywords: Optical communications ; Design and construction ; Indoor positioning systems (Wireless localization) ; Data processing

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Qiu, K. (2015). Visible light communication-based indoor localization and path-planning system. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-78827 ; https://doi.org/10.14711/thesis-b1514550 ; http://repository.ust.hk/ir/bitstream/1783.1-78827/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Qiu, Kejie. “Visible light communication-based indoor localization and path-planning system.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-78827 ; https://doi.org/10.14711/thesis-b1514550 ; http://repository.ust.hk/ir/bitstream/1783.1-78827/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Qiu, Kejie. “Visible light communication-based indoor localization and path-planning system.” 2015. Web. 01 Mar 2021.

Vancouver:

Qiu K. Visible light communication-based indoor localization and path-planning system. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-78827 ; https://doi.org/10.14711/thesis-b1514550 ; http://repository.ust.hk/ir/bitstream/1783.1-78827/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qiu K. Visible light communication-based indoor localization and path-planning system. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: http://repository.ust.hk/ir/Record/1783.1-78827 ; https://doi.org/10.14711/thesis-b1514550 ; http://repository.ust.hk/ir/bitstream/1783.1-78827/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

29. Sun, Wei. Context sensing for ubiquitous computing.

Degree: 2015, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-78836 ; https://doi.org/10.14711/thesis-b1514549 ; http://repository.ust.hk/ir/bitstream/1783.1-78836/1/th_redirect.html

► Ubiquitous computing is leading the third era of computing, after the ones represented by mainframe computers and personal computers. For many ubiquitous computing applications, context… (more)

▼ Ubiquitous computing is leading the third era of computing, after the ones represented by mainframe computers and personal computers. For many ubiquitous computing applications, context awareness is critical for performance optimization and user experience enrichment. Thanks to various tiny sensors embedded in devices such as smartphones, context information can be obtained by directly sensing the running environment. However, it is difficult to sense some certain types of context. In this thesis, we address three challenging topics of context sensing for ubiquitous computing, as briefed in the following. Our first work focuses on knowing user’s location in indoor environments. Most of the current solutions rely on Received Signal Strength (RSS) of wireless signals as location fingerprint, where fingerprint uniqueness with respect to locations is a basic assumption. However, due to practical limitations in real-world deployment, such assumption does not always hold, which we refer to as fingerprint ambiguity. In this work, we study the unexploited potential of user motion to resolve fingerprint ambiguity. Our basic idea is that user motion patterns collected by built-in sensors of mobile phones add to the fingerprint diversity. On this basis, we propose MOLOC, a motion-assisted localization scheme on mobile phones. The experimental results show that MoLoC achieves a significant improvement over fingerprinting-based methods. Our second work addresses the problem of finding neighboring sensor nodes in the most energy-efficient way. We propose HELLO, a generic flexible protocol for neighbor discovery. With an unrestricted parameter, it serves as a generic framework that incorporates existing deterministic protocols. Under the framework, we expose optimal parameters for either symmetric or asymmetric duty cycles, which is the first to our knowledge. The results from the simulation and real-world experiments show that HELLO is highly energy-efficient under both symmetric and asymmetric duty cycles. The last work attempts to detect sleep stages for users to understand their sleep quality. We present SLEEPHUNTER, a mobile service that provides a fine-grained detection of sleep stage transition for sleep quality monitoring and intelligent wake-up call. The rationale is that each sleep stage may be accompanied by specific and distinguishable body movements and acoustic signals. Leveraging the built-in sensors on smartphones, SLEEPHUNTER integrates these physical activities with sleep environment, inherent temporal relation and personal factors by a statistical model. Experimental results from over 30 sets of nocturnal sleep data show that our system provides a significant improvement in terms of detection accuracy when compared with existing actigraphy-based systems.

Subjects/Keywords: Indoor positioning systems (Wireless localization) ; Data processing ; Mathematical models ; Ubiquitous computing ; Sleep ; Stages ; Motion detectors

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sun, W. (2015). Context sensing for ubiquitous computing. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-78836 ; https://doi.org/10.14711/thesis-b1514549 ; http://repository.ust.hk/ir/bitstream/1783.1-78836/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sun, Wei. “Context sensing for ubiquitous computing.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-78836 ; https://doi.org/10.14711/thesis-b1514549 ; http://repository.ust.hk/ir/bitstream/1783.1-78836/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sun, Wei. “Context sensing for ubiquitous computing.” 2015. Web. 01 Mar 2021.

Vancouver:

Sun W. Context sensing for ubiquitous computing. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-78836 ; https://doi.org/10.14711/thesis-b1514549 ; http://repository.ust.hk/ir/bitstream/1783.1-78836/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sun W. Context sensing for ubiquitous computing. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: http://repository.ust.hk/ir/Record/1783.1-78836 ; https://doi.org/10.14711/thesis-b1514549 ; http://repository.ust.hk/ir/bitstream/1783.1-78836/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

30. Li, Chun Ting CIVL. Development of BIM-assisted access point placement optimization and deep learning based multi-floor identification algorithms for enhancing indoor positioning to support construction applications.

Degree: 2019, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-101629 ; https://doi.org/10.14711/thesis-991012752559303412 ; http://repository.ust.hk/ir/bitstream/1783.1-101629/1/th_redirect.html

► Over the past decades, indoor positioning has been drawing wide attention in different fields of engineering. Indoor positioning technologies are complementary to the mature outdoor… (more)

Subjects/Keywords: Indoor positioning systems (Wireless localization) ; Wireless localization ; Building information modeling ; Machine learning

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Li, C. T. C. (2019). Development of BIM-assisted access point placement optimization and deep learning based multi-floor identification algorithms for enhancing indoor positioning to support construction applications. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-101629 ; https://doi.org/10.14711/thesis-991012752559303412 ; http://repository.ust.hk/ir/bitstream/1783.1-101629/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Li, Chun Ting CIVL. “Development of BIM-assisted access point placement optimization and deep learning based multi-floor identification algorithms for enhancing indoor positioning to support construction applications.” 2019. Thesis, Hong Kong University of Science and Technology. Accessed March 01, 2021. http://repository.ust.hk/ir/Record/1783.1-101629 ; https://doi.org/10.14711/thesis-991012752559303412 ; http://repository.ust.hk/ir/bitstream/1783.1-101629/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Li, Chun Ting CIVL. “Development of BIM-assisted access point placement optimization and deep learning based multi-floor identification algorithms for enhancing indoor positioning to support construction applications.” 2019. Web. 01 Mar 2021.

Vancouver:

Li CTC. Development of BIM-assisted access point placement optimization and deep learning based multi-floor identification algorithms for enhancing indoor positioning to support construction applications. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2019. [cited 2021 Mar 01]. Available from: http://repository.ust.hk/ir/Record/1783.1-101629 ; https://doi.org/10.14711/thesis-991012752559303412 ; http://repository.ust.hk/ir/bitstream/1783.1-101629/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li CTC. Development of BIM-assisted access point placement optimization and deep learning based multi-floor identification algorithms for enhancing indoor positioning to support construction applications. [Thesis]. Hong Kong University of Science and Technology; 2019. Available from: http://repository.ust.hk/ir/Record/1783.1-101629 ; https://doi.org/10.14711/thesis-991012752559303412 ; http://repository.ust.hk/ir/bitstream/1783.1-101629/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

		in
And / Or
		in
And / Or
		in
And / Or
		in

Open Access Theses and Dissertations