subject:( traffic light detection)

NSYSU

1. Chen, Shiuan-wen. Algorithms for the Traffic Light Setting Problem on the Graph Model.

Degree: Master, Computer Science and Engineering, 2007, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828107-073809

► As the number of vehicles increases rapidly, traffic congestion has become a serious problem in a city. Over the past years, a considerable number of… (more)

Subjects/Keywords: graph model; algorithm; traffic light

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APA (6^th Edition):

Chen, S. (2007). Algorithms for the Traffic Light Setting Problem on the Graph Model. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828107-073809

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):

Chen, Shiuan-wen. “Algorithms for the Traffic Light Setting Problem on the Graph Model.” 2007. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828107-073809.

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

MLA Handbook (7^th Edition):

Chen, Shiuan-wen. “Algorithms for the Traffic Light Setting Problem on the Graph Model.” 2007. Web. 10 Dec 2019.

Vancouver:

Chen S. Algorithms for the Traffic Light Setting Problem on the Graph Model. [Internet] [Thesis]. NSYSU; 2007. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828107-073809.

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

Council of Science Editors:

Chen S. Algorithms for the Traffic Light Setting Problem on the Graph Model. [Thesis]. NSYSU; 2007. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828107-073809

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

Penn State University

2. Mukherjee, Manisha. Determination of real-time traffic flow parameters in different devices based on Qoi requirements.

Degree: MS, Computer Science and Engineering, 2014, Penn State University

URL: https://etda.libraries.psu.edu/catalog/22838

► In present times when cameras are inexpensive and ubiquitous, processing vehicular traffic videos obtained from cameras on the road to obtain information is useful. These… (more)

▼ In present times when cameras are inexpensive and ubiquitous, processing vehicular traffic videos obtained from cameras on the road to obtain information is useful. These videos may be processed to extract information such as the volume of traffic on the road, to track particular vehicles in surveillance videos, to measure their speed in order to get traffic flow details, etc. The videos may be obtained from webcams perched on traffic signals, at the side of the road, or even from commuters who can take these videos using the camera on their cell-phones. These videos may then be processed on the devices recording them, to extract the required information. However, real-time video is usually generated at 30 frames per second (fps). If the recording device cannot process frames at a speed of at least 30 frames per second, it will customize the video by reducing its frame rate and the quality of the extracted information may decrease (QoI). If the user has a QoI requirement that will not be met even by reducing the frame rate on the recording device, the video must be streamed to a more powerful server which will be able to deliver the desired QoI by processing the video at the required frame rate. However, streaming these video files take up a lot of bandwidth. At times, the desired QoI may be met by lowering the frame rate, which may allow the video to be processed locally, or streaming the video at the reduced frame rate to a powerful server if the recording device cannot process the video at the lowered frame rate. This saves bandwidth as the video was either processed locally, or streamed to a powerful server at a reduced frame rate. The difference in the QoI arising due to the limitations in processing powers on various devices was analyzed. Videos obtained from various traffic cameras were processed to extract information about the number of vehicles passing by in a certain amount of time, the color of vehicles, the type of vehicle, and the speed of the vehicles passing by. The videos could be processed on a server (with higher processing power) or an android phone (with less processing power). If the QoI (accuracy, precision) requirement may be met on the phone, the video is locally processed. However, when a QoI requirement may not be met on the phone, the formulated mathematical models show that less than the original frame rate may be sent to the server to meet the same QoI requirement. This work implements a system that helps decide when the video file can be locally processed to get a desired QoI compared to when the video (maybe with a lower frame rate) has to be streamed to an alternate powerful server, thereby saving many resources such as bandwidth and the battery charge on the phone.

Subjects/Keywords: Real-time traffic video processing; QoI; Vehicle detection; Vehicle tracking

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

APA (6^th Edition):

Mukherjee, M. (2014). Determination of real-time traffic flow parameters in different devices based on Qoi requirements. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/22838

Chicago Manual of Style (16^th Edition):

Mukherjee, Manisha. “Determination of real-time traffic flow parameters in different devices based on Qoi requirements.” 2014. Masters Thesis, Penn State University. Accessed December 10, 2019. https://etda.libraries.psu.edu/catalog/22838.

MLA Handbook (7^th Edition):

Mukherjee, Manisha. “Determination of real-time traffic flow parameters in different devices based on Qoi requirements.” 2014. Web. 10 Dec 2019.

Vancouver:

Mukherjee M. Determination of real-time traffic flow parameters in different devices based on Qoi requirements. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2019 Dec 10]. Available from: https://etda.libraries.psu.edu/catalog/22838.

Council of Science Editors:

Mukherjee M. Determination of real-time traffic flow parameters in different devices based on Qoi requirements. [Masters Thesis]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/22838

3. Soto, Eduardo R Corral. 3D Modelling for Improved Visual Traffic Analytics.

Degree: PhD, Computer Science and Engineering, 2018, York University

URL: http://hdl.handle.net/10315/34994

► Advanced Traffic Management Systems utilize diverse types of sensor networks with the goal of improving mobility and safety of transportation systems. These systems require information… (more)

▼ Advanced Traffic Management Systems utilize diverse types of sensor networks with the goal of improving mobility and safety of transportation systems. These systems require information about the state of the traffic configuration, including volume, vehicle speed, density, and incidents, which are useful in applications such as urban planning, collision avoidance systems, and emergency vehicle notification systems, to name a few. Sensing technologies are an important part of Advanced Traffic Management Systems that enable the estimation of the traffic state. Inductive Loop Detectors are often used to sense vehicles on highway roads. Although this technology has proven to be effective, it has limitations. Their installation and replacement cost is high and causes traffic disruptions, and their sensing modality provides very limited information about the vehicles being sensed. No vehicle appearance information is available. Traffic camera networks are also used in advanced traffic monitoring centers where the cameras are controlled by a remote operator. The amount of visual information provided by such cameras can be overwhelmingly large, which may cause the operators to miss important traffic events happening in the field. This dissertation focuses on visual traffic surveillance for Advanced Traffic Management Systems. The focus is on the research and development of computer vision algorithms that contribute to the automation of highway traffic analytics systems that require estimates of traffic volume and density. This dissertation makes three contributions: The first contribution is an integrated vision surveillance system called 3DTown, where cameras installed at a university campus together with algorithms are used to produce vehicle and pedestrian detections to augment a 3D model of the university with dynamic information from the scene. A second major contribution is a technique for extracting road lines from highway images that are used to estimate the tilt angle and the focal length of the camera. This technique is useful when the operator changes the camera pose. The third major contribution is a method to automatically extract the active road lanes and model the vehicles in 3D to improve the vehicle count estimation by individuating 2D segments of imaged vehicles that have been merged due to occlusions. Advisors/Committee Members: Elder, James H. (advisor).

Subjects/Keywords: Applied mathematics; Computer vision; Algorithms; Machine learning; Traffic surveillance; Camera calibration; 3D object detection; 3D modelling; Virtual reality; Road markings; Curved roads; mcmc; Optimization

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APA (6^th Edition):

Soto, E. R. C. (2018). 3D Modelling for Improved Visual Traffic Analytics. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/34994

Chicago Manual of Style (16^th Edition):

Soto, Eduardo R Corral. “3D Modelling for Improved Visual Traffic Analytics.” 2018. Doctoral Dissertation, York University. Accessed December 10, 2019. http://hdl.handle.net/10315/34994.

MLA Handbook (7^th Edition):

Soto, Eduardo R Corral. “3D Modelling for Improved Visual Traffic Analytics.” 2018. Web. 10 Dec 2019.

Vancouver:

Soto ERC. 3D Modelling for Improved Visual Traffic Analytics. [Internet] [Doctoral dissertation]. York University; 2018. [cited 2019 Dec 10]. Available from: http://hdl.handle.net/10315/34994.

Council of Science Editors:

Soto ERC. 3D Modelling for Improved Visual Traffic Analytics. [Doctoral Dissertation]. York University; 2018. Available from: http://hdl.handle.net/10315/34994

NSYSU

4. Liu, Ming-Che. APT Attack Detection Based on DNS Time Frequency Analysis.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723113-211137

► Recently, malware infection has become one of the most serious threats against information security. Analysis and detection against malware are regarded as an important issue… (more)

Subjects/Keywords: Malware; Traffic Analysis; APT Attack

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APA (6^th Edition):

Liu, M. (2013). APT Attack Detection Based on DNS Time Frequency Analysis. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723113-211137

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, Ming-Che. “APT Attack Detection Based on DNS Time Frequency Analysis.” 2013. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723113-211137.

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, Ming-Che. “APT Attack Detection Based on DNS Time Frequency Analysis.” 2013. Web. 10 Dec 2019.

Vancouver:

Liu M. APT Attack Detection Based on DNS Time Frequency Analysis. [Internet] [Thesis]. NSYSU; 2013. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723113-211137.

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

Council of Science Editors:

Liu M. APT Attack Detection Based on DNS Time Frequency Analysis. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0723113-211137

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

NSYSU

5. Wang, Ching-Hui. Lane, Vehicle, and Human Detections in Intelligent Driver Assistance Systems.

Degree: Master, Computer Science and Engineering, 2015, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808115-222352

► In this thesis, we present an integrated driver assistance system with lane detection, vehicle detection, and human detection based on camera image sequences. After image… (more)

Subjects/Keywords: HOG; Pedestrian Detection; Human Detection; Driver Assistance Systems; Lane Detection; Vehicle Detection

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

APA (6^th Edition):

Wang, C. (2015). Lane, Vehicle, and Human Detections in Intelligent Driver Assistance Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808115-222352

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, Ching-Hui. “Lane, Vehicle, and Human Detections in Intelligent Driver Assistance Systems.” 2015. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808115-222352.

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, Ching-Hui. “Lane, Vehicle, and Human Detections in Intelligent Driver Assistance Systems.” 2015. Web. 10 Dec 2019.

Vancouver:

Wang C. Lane, Vehicle, and Human Detections in Intelligent Driver Assistance Systems. [Internet] [Thesis]. NSYSU; 2015. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808115-222352.

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

Council of Science Editors:

Wang C. Lane, Vehicle, and Human Detections in Intelligent Driver Assistance Systems. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808115-222352

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

NSYSU

6. Liu, Jia-Ying. Real-time Face Recognition System with Self-learning.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0426117-093435

► Face recognition has matured over the recent years, it is widely used in access control system, immigration control system even lecture attendance system. Traditional face… (more)

Subjects/Keywords: Face recognition; Face detection; Skin color detection; Moving object detection; Object tracking

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

APA (6^th Edition):

Liu, J. (2017). Real-time Face Recognition System with Self-learning. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0426117-093435

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, Jia-Ying. “Real-time Face Recognition System with Self-learning.” 2017. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0426117-093435.

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, Jia-Ying. “Real-time Face Recognition System with Self-learning.” 2017. Web. 10 Dec 2019.

Vancouver:

Liu J. Real-time Face Recognition System with Self-learning. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0426117-093435.

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. Real-time Face Recognition System with Self-learning. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0426117-093435

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

NSYSU

7. Chiou, Kai-sheng. A Multimodal Microphone Control System.

Degree: Master, Computer Science and Engineering, 2015, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614115-120518

► Though there are many types of meeting room microphone control system in the market, the most common control method can be classified into either push-button… (more)

Subjects/Keywords: Skin color detection; Nose detection; Behavior detection; Optical flow; Microphone control system

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APA (6^th Edition):

Chiou, K. (2015). A Multimodal Microphone Control System. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614115-120518

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):

Chiou, Kai-sheng. “A Multimodal Microphone Control System.” 2015. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614115-120518.

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

MLA Handbook (7^th Edition):

Chiou, Kai-sheng. “A Multimodal Microphone Control System.” 2015. Web. 10 Dec 2019.

Vancouver:

Chiou K. A Multimodal Microphone Control System. [Internet] [Thesis]. NSYSU; 2015. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614115-120518.

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

Council of Science Editors:

Chiou K. A Multimodal Microphone Control System. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614115-120518

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

NSYSU

8. Wang, Jian-Ren. Nighttime Glow Removal and Low Lighting Image Enhancement Using Dark Channel Prior.

Degree: Master, Computer Science and Engineering, 2016, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614116-150753

► Nowadays as people have higher awareness of public safety, different kinds of surveillance technologies emerge. Amongst these surveillance technologies, closed-circuit television (CCTV) and car video… (more)

▼ Nowadays as people have higher awareness of public safety, different kinds of surveillance technologies emerge. Amongst these surveillance technologies, closed-circuit television (CCTV) and car video recorder are most frequently used by people, who simply want to honestly record the behaviors and acts of other people through images. However, surveillance system highly relies on sufficient light, so surveillance equipment seems ineffective in a low-light environment. But crimes and incidents commonly happen in the nighttime with poor visibility. Therefore, the algorithm for enhancement of nighttime image quality is extremely important. With a sound algorithm, unclear images obtained in an incident can be restored by image enhancement, and the truth can thus be known from clearer images, letting the victims receive fair treatment. It is known that image processing technique is established on a prerequisite of sufficient light. However, in times of practical application, the area of image processing is in lack of image enhancement technique to restore nighttime image. Taking the dehazing algorithm, dark channel prior (DCP) for example, although this method has remarkable effect in dehazing of daytime image, it is completely inapplicable to nighttime image. This is mainly because daytime scene or object has sunlight evenly shining on, so that the light amount received by the scene or object can combine with the physical model of atmospheric scattering to inversely derive the scene depth. Nevertheless, nighttime image has no sunlight to shine on, but is irradiated by intense and unstable artificial light (such as streetlamp, car light, and traffic lights), breaking the supposed prerequisite of DCP and disabling its direct application to nighttime image. The paper combines the image processing techniques of glow removal, DCP and color calibration in order to develop an effective method to enhance images in low-light environment. Based on DCP algorithm , the paper uses negative film system and DCPâs dehazing feature to perform light compensation for the dark area of image, and employs this way to enhance low-light image. First of all, artificial light is removed; the area affected by artificial light is corrected; and the image is turned to be negative film. Using DCP, the paper calculates the scene depth and transmission of object, and uses guided image filtering to make transmission more refined. Through the physical model of atmospheric scattering, light is compensated for the image. Finally, the negative film of image is converted to be positive, and color calibration of image is carried out after compensation. Then the image in low-light environment is effectively enhanced. Advisors/Committee Members: Chen-Wen Yen (chair), John Y. Chiang (committee member), Dan Xu Tan (chair).

Subjects/Keywords: glow removal; closed-circuit television (CCTV); low-light environment; color calibration; light compensation

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

APA (6^th Edition):

Wang, J. (2016). Nighttime Glow Removal and Low Lighting Image Enhancement Using Dark Channel Prior. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614116-150753

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, Jian-Ren. “Nighttime Glow Removal and Low Lighting Image Enhancement Using Dark Channel Prior.” 2016. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614116-150753.

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, Jian-Ren. “Nighttime Glow Removal and Low Lighting Image Enhancement Using Dark Channel Prior.” 2016. Web. 10 Dec 2019.

Vancouver:

Wang J. Nighttime Glow Removal and Low Lighting Image Enhancement Using Dark Channel Prior. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614116-150753.

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

Council of Science Editors:

Wang J. Nighttime Glow Removal and Low Lighting Image Enhancement Using Dark Channel Prior. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614116-150753

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

NSYSU

9. Lin, Chiang-Yu. Automatic Video Recording System for Classroom.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729117-153740

► In recent years, class recording plays a key role in e-learning. Most of them use a camera to record both the teacher and the screen.… (more)

Subjects/Keywords: Skin color detection; ePtz; Course recording; Human detection; Multiple kernels tracking

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

APA (6^th Edition):

Lin, C. (2017). Automatic Video Recording System for Classroom. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729117-153740

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):

Lin, Chiang-Yu. “Automatic Video Recording System for Classroom.” 2017. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729117-153740.

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

MLA Handbook (7^th Edition):

Lin, Chiang-Yu. “Automatic Video Recording System for Classroom.” 2017. Web. 10 Dec 2019.

Vancouver:

Lin C. Automatic Video Recording System for Classroom. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729117-153740.

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

Council of Science Editors:

Lin C. Automatic Video Recording System for Classroom. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729117-153740

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

NSYSU

10. Lu, Bo-Han. Enhanced Verification of Lane-Based Front Vehicle Detection System in Daytime and Nighttime.

Degree: Master, Computer Science and Engineering, 2014, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728114-140100

► In this thesis, we present a front-vehicle detection system in both daytime and night time. The key philosophy is simplicity in order to reduce computation… (more)

Subjects/Keywords: vehicle detection; driver assisted system (DAS); lane detection

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APA (6^th Edition):

Lu, B. (2014). Enhanced Verification of Lane-Based Front Vehicle Detection System in Daytime and Nighttime. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728114-140100

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):

Lu, Bo-Han. “Enhanced Verification of Lane-Based Front Vehicle Detection System in Daytime and Nighttime.” 2014. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728114-140100.

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

MLA Handbook (7^th Edition):

Lu, Bo-Han. “Enhanced Verification of Lane-Based Front Vehicle Detection System in Daytime and Nighttime.” 2014. Web. 10 Dec 2019.

Vancouver:

Lu B. Enhanced Verification of Lane-Based Front Vehicle Detection System in Daytime and Nighttime. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728114-140100.

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

Council of Science Editors:

Lu B. Enhanced Verification of Lane-Based Front Vehicle Detection System in Daytime and Nighttime. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728114-140100

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

NSYSU

11. Chen, Jie-Qi. Lane-Based Front Vehicle Detection and Its Acceleration.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0102113-121204

► Based on .Net Framework4.0 development platform and Visual C# language, this thesis presents various methods of performing lane detection and preceding vehicle detection/tracking with code… (more)

Subjects/Keywords: Lane Detection; Front Vehicle Detection; OpenCV; Multi-threading; TPL; OpenCL

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

APA (6^th Edition):

Chen, J. (2013). Lane-Based Front Vehicle Detection and Its Acceleration. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0102113-121204

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):

Chen, Jie-Qi. “Lane-Based Front Vehicle Detection and Its Acceleration.” 2013. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0102113-121204.

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

MLA Handbook (7^th Edition):

Chen, Jie-Qi. “Lane-Based Front Vehicle Detection and Its Acceleration.” 2013. Web. 10 Dec 2019.

Vancouver:

Chen J. Lane-Based Front Vehicle Detection and Its Acceleration. [Internet] [Thesis]. NSYSU; 2013. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0102113-121204.

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

Council of Science Editors:

Chen J. Lane-Based Front Vehicle Detection and Its Acceleration. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0102113-121204

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

Penn State University

12. Rujkietgumjorn, Sitapa. Quadratic Binary Optimization for Pedestrian Detection in Crowded Scenes.

Degree: PhD, Computer Science and Engineering, 2014, Penn State University

URL: https://etda.libraries.psu.edu/catalog/22734

► Pedestrian detection is of much interest in the computer vision research community and is a rapidly evolving research area. Significant progress has been demonstrated but… (more)

▼ Pedestrian detection is of much interest in the computer vision research community and is a rapidly evolving research area. Significant progress has been demonstrated but the performance degrades rapidly when occlusion occurs. We propose a binary quadratic optimization framework for multi-pedestrian detections to improve pedestrian detection, especially when there is an occlusion. The pedestrian detection problem is formulated as a Quadratic Unconstrained Binary Optimization (QUBO) problem. The formulation reasons directly over the space of overlapping among object detections as a pairwise measurement and an individual detection confidence score as a unary measurement. The tradeoff between detection confidences and amounts of overlap is optimized thereby allowing a more relaxed selection compared to conventional non-maximum suppression approach. Although QUBO is an NP-hard problem, efficient approximate methods are available, and these yield high quality solutions on large problem sizes. The core concept of optimized detection framework is to generate a large set of possible detection candidates and then use the optimization method to select a subset of those candidates that best represents the detection. The optimized detection framework is further applied to a multiple-body-part representation called "body plan". With the adoption of multiple parts, reasoning about occlusions among pairs of overlapped detections ,by applying a positive (reward) and negative (penalty) pairwise scores, can help to decide whether the missing body part is likely due to being occluded. Besides detection candidates, it is also applicable to use tracklets of matching as candidates and formulate the problem as non bipartite matching graph. We reformulate the non bipartite matching problem into a Quadratic Constrained Binary Optimization that solves for a set of detections along with data association. The proposed optimized detection framework shows that quadratic optimization for reasoning about overlapping detections and quality of an individual detection can improve the performance of a pedestrian detection system, especially when there are multiple occluded persons. We also show that the framework of optimized detection can be applied to several types of candidates, not only a sliding window based detector but also shape covering and pairs of matching candidates.

Subjects/Keywords: Pedestrian Detection; Optimized Detection; Quadratic Binary Optimization; Occlusion; Crowds

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

APA (6^th Edition):

Rujkietgumjorn, S. (2014). Quadratic Binary Optimization for Pedestrian Detection in Crowded Scenes. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/22734

Chicago Manual of Style (16^th Edition):

Rujkietgumjorn, Sitapa. “Quadratic Binary Optimization for Pedestrian Detection in Crowded Scenes.” 2014. Doctoral Dissertation, Penn State University. Accessed December 10, 2019. https://etda.libraries.psu.edu/catalog/22734.

MLA Handbook (7^th Edition):

Rujkietgumjorn, Sitapa. “Quadratic Binary Optimization for Pedestrian Detection in Crowded Scenes.” 2014. Web. 10 Dec 2019.

Vancouver:

Rujkietgumjorn S. Quadratic Binary Optimization for Pedestrian Detection in Crowded Scenes. [Internet] [Doctoral dissertation]. Penn State University; 2014. [cited 2019 Dec 10]. Available from: https://etda.libraries.psu.edu/catalog/22734.

Council of Science Editors:

Rujkietgumjorn S. Quadratic Binary Optimization for Pedestrian Detection in Crowded Scenes. [Doctoral Dissertation]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/22734

Penn State University

13. Yu, Chen-Ping. Statistical Asymmetry-based Automatic Brain Tumor Detection from 3D MR Images.

Degree: MS, Computer Science and Engineering, 2010, Penn State University

URL: https://etda.libraries.psu.edu/catalog/10847

► The detection and accurate segmentation of brain tumors from MR images is an important and necessary step for early diagnosis, optimized treatment, surgical planning, and… (more)

▼ The detection and accurate segmentation of brain tumors from MR images is an important and necessary step for early diagnosis, optimized treatment, surgical planning, and follow-up assessment. However, it is a tedious and error prone task for the medical professionals to process manually. The performance of existing supervised machine learning techniques for automatic tumor segmentation is time consuming and largely dependent on the type and training samples. Brain tumors are mostly asymmetrical blobs with respect to the mid-sagittal plane (MSP) in the brain, we propose a novel 2D slice asymmetry-based, fast, fully-automatic, and unsupervised framework for brain tumor detection and segmentation from volumetric MR images. This approach detects asymmetrical intensity deviation of brain tissues in 4 stages: (1) automatic MSP extraction, (2) asymmetrical 2D slice extraction for an estimated tumor location, (3) region of interest localization, and (4) 3D tumor volume delineation using a watershed method. The method has been validated on 10 Harvard tumorbase cases with a 67.66⁺66^-7.20% mean Jaccard Coefficient, and an average end-to-end run time of 3.5 minutes per 3D scan. Furthermore, multiple and small-sized tumors, which are good indicators for potential metastasis or early stage tumor, present substantial challenges to both human and the state of the art automatic brain tumor detection algorithms, that have been overlooked in practice. Thus, we improve our computational framework to solve this challenging problem. The central contributions of our work include (1) a feasible formulation of a 3D blob extraction algorithm directly from volumetric images; (2) an asymmetry-based abnormality detection algorithm for human brain anatomy; and (3) a Bayesian formulation to asymmetry 3D blob analysis by formulating multiple cues as priors and likelihood probabilities. This improved method is validated for brain tumor detection on 20 clinical 3D MR scans from the Hershey dataset with tumors (1 to as many as 15 tumors per 3D scan) of size 3 mm³ to 28079 mm³ in volume. In addition, 5 normal clinical 3D MR scans are evaluated quantitatively to demonstrate that our approach also has the potential for normal/suspicious patient classification. The results show a 87.84 to 95.30% detection rate and an average end-to-end run time of 4 minutes per 3D scan. The goal of this thesis work is to assist medical professionals in automatically evaluating patients' brain MRI scans that is accurate, robust, and convenient.

Subjects/Keywords: tumor volume segmentation; 3D blob detection; brain tumor detection; brain asymmetry

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

APA (6^th Edition):

Yu, C. (2010). Statistical Asymmetry-based Automatic Brain Tumor Detection from 3D MR Images. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10847

Chicago Manual of Style (16^th Edition):

Yu, Chen-Ping. “Statistical Asymmetry-based Automatic Brain Tumor Detection from 3D MR Images.” 2010. Masters Thesis, Penn State University. Accessed December 10, 2019. https://etda.libraries.psu.edu/catalog/10847.

MLA Handbook (7^th Edition):

Yu, Chen-Ping. “Statistical Asymmetry-based Automatic Brain Tumor Detection from 3D MR Images.” 2010. Web. 10 Dec 2019.

Vancouver:

Yu C. Statistical Asymmetry-based Automatic Brain Tumor Detection from 3D MR Images. [Internet] [Masters thesis]. Penn State University; 2010. [cited 2019 Dec 10]. Available from: https://etda.libraries.psu.edu/catalog/10847.

Council of Science Editors:

Yu C. Statistical Asymmetry-based Automatic Brain Tumor Detection from 3D MR Images. [Masters Thesis]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/10847

University of Connecticut

14. Periaswamy, Priya. A Novel Clustering Technique to Identify Chemicals.

Degree: MS, Computer Science and Engineering, 2014, University of Connecticut

URL: https://opencommons.uconn.edu/gs_theses/660

► Chemical detection is an important problem especially in the context of homeland security. We have designed an efficient algorithm to process complex multidimensional data… (more)

Subjects/Keywords: Clustering; Chemical detection; harmful chemicals; k-means; chemical defense; detection algorithms

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APA (6^th Edition):

Periaswamy, P. (2014). A Novel Clustering Technique to Identify Chemicals. (Masters Thesis). University of Connecticut. Retrieved from https://opencommons.uconn.edu/gs_theses/660

Chicago Manual of Style (16^th Edition):

Periaswamy, Priya. “A Novel Clustering Technique to Identify Chemicals.” 2014. Masters Thesis, University of Connecticut. Accessed December 10, 2019. https://opencommons.uconn.edu/gs_theses/660.

MLA Handbook (7^th Edition):

Periaswamy, Priya. “A Novel Clustering Technique to Identify Chemicals.” 2014. Web. 10 Dec 2019.

Vancouver:

Periaswamy P. A Novel Clustering Technique to Identify Chemicals. [Internet] [Masters thesis]. University of Connecticut; 2014. [cited 2019 Dec 10]. Available from: https://opencommons.uconn.edu/gs_theses/660.

Council of Science Editors:

Periaswamy P. A Novel Clustering Technique to Identify Chemicals. [Masters Thesis]. University of Connecticut; 2014. Available from: https://opencommons.uconn.edu/gs_theses/660

NSYSU

15. You, Tz-Heng. Design of Low-Cost HOG and Its Application to Pedestrian Detection in ADAS.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725117-173711

► This thesis presents two versions of simplifications, Gradient Comprison HOG (GC-HOG) and Simplified HOG (S-HOG) for Histograms of Oriented Gradients (HOG), a feature extraction algorithm… (more)

Subjects/Keywords: FPGA; Hardware Design; Pedestrian Detection; ADAS; HOG

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APA (6^th Edition):

You, T. (2017). Design of Low-Cost HOG and Its Application to Pedestrian Detection in ADAS. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725117-173711

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):

You, Tz-Heng. “Design of Low-Cost HOG and Its Application to Pedestrian Detection in ADAS.” 2017. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725117-173711.

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

MLA Handbook (7^th Edition):

You, Tz-Heng. “Design of Low-Cost HOG and Its Application to Pedestrian Detection in ADAS.” 2017. Web. 10 Dec 2019.

Vancouver:

You T. Design of Low-Cost HOG and Its Application to Pedestrian Detection in ADAS. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725117-173711.

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

Council of Science Editors:

You T. Design of Low-Cost HOG and Its Application to Pedestrian Detection in ADAS. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725117-173711

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

16. Kakoty, Bobby Sharma. Addressing some issues in packet dropping attack detection in manets; -.

Degree: Computer Science and Engineering, 2014, Tezpur University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/48740

Abstract available

Appendix p.156 - 170 and Bibliography p.171 - 194 and Publication p.195

Advisors/Committee Members: Hazarika, Shyamanta Moni and Sarma, Nityananda.

Subjects/Keywords: Address; Detection; Issues

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APA (6^th Edition):

Kakoty, B. S. (2014). Addressing some issues in packet dropping attack detection in manets; -. (Thesis). Tezpur University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/48740

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):

Kakoty, Bobby Sharma. “Addressing some issues in packet dropping attack detection in manets; -.” 2014. Thesis, Tezpur University. Accessed December 10, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/48740.

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

MLA Handbook (7^th Edition):

Kakoty, Bobby Sharma. “Addressing some issues in packet dropping attack detection in manets; -.” 2014. Web. 10 Dec 2019.

Vancouver:

Kakoty BS. Addressing some issues in packet dropping attack detection in manets; -. [Internet] [Thesis]. Tezpur University; 2014. [cited 2019 Dec 10]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/48740.

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

Council of Science Editors:

Kakoty BS. Addressing some issues in packet dropping attack detection in manets; -. [Thesis]. Tezpur University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/48740

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

The Ohio State University

17. Das, Mahashweta. Spatio-Temporal Anomaly Detection.

Degree: MS, Computer Science and Engineering, 2009, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1261540196

► Recent advances in computational sciences have led to the generation and utilization of enormous amounts of spatio-temporal data in numerous scientific disciplines, such as wireless… (more)

▼ Recent advances in computational sciences have led to the generation and utilization of enormous amounts of spatio-temporal data in numerous scientific disciplines, such as wireless sensor networks, bioinformatics, astrophysics and computational fluid dynamics. The need to efficiently handle and effectively analyze such humongous amount of data has led to the application of data mining techniques in this domain of research. Spatio-temporal data mining is the process of maneuvering such datasets to extract interesting knowledge and meaningful insights from the data. In this thesis, we propose a spatio-temporal and a temporal-spatial anomaly detection algorithm in the context of wireless sensor network application. The latter can also be interpreted as a prediction model for spatio-temporal datasets. The anomaly detection algorithms identify local abnormalities in sensor data collected over space and time, independent of the global analytical view presented by the entire dataset. The first of our proposed algorithms identifies candidate spatial outliers by computing an outlierness indicator, which we call ANOI (Antimonotonic Outlierness Indicator) and then determines the spatio-temporal outliers by checking the stability of the candidates over time. Our novel idea of antimonotonicity in an outlier detection framework helps us to prune the search space and reduce computational complexity, which is a serious bottleneck for neighborhood-based outlier detection methodologies. The second algorithm first models time series data and then refines the temporal estimates by integrating spatial association information. Since the model predicts short-term energy availability based on past historical records, it can also assist wireless sensor nodes to automatically adapt to changing environmental conditions and use its energy harvesting and activity scheduling abilities intelligently. Experimental results on climate data empirically demonstrate the effectiveness of both the approaches. Advisors/Committee Members: Parthasarathy, Srinivasan (Advisor).

Subjects/Keywords: Computer Science; Anomaly Detection; Spatio-Temporal Mining

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

APA (6^th Edition):

Das, M. (2009). Spatio-Temporal Anomaly Detection. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1261540196

Chicago Manual of Style (16^th Edition):

Das, Mahashweta. “Spatio-Temporal Anomaly Detection.” 2009. Masters Thesis, The Ohio State University. Accessed December 10, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1261540196.

MLA Handbook (7^th Edition):

Das, Mahashweta. “Spatio-Temporal Anomaly Detection.” 2009. Web. 10 Dec 2019.

Vancouver:

Das M. Spatio-Temporal Anomaly Detection. [Internet] [Masters thesis]. The Ohio State University; 2009. [cited 2019 Dec 10]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1261540196.

Council of Science Editors:

Das M. Spatio-Temporal Anomaly Detection. [Masters Thesis]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1261540196

NSYSU

18. Cheng, Yu-Shan. Parity Detection for Some Three-Modulus Residue Number System.

Degree: Master, Computer Science and Engineering, 2014, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0628114-155538

► The residue number system (RNS) can be applied to cryptography, image processing, digital filtering, parallel computation, and cloud computing. It represents a large integer using… (more)

Subjects/Keywords: parity detection technique; residue number system

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APA (6^th Edition):

Cheng, Y. (2014). Parity Detection for Some Three-Modulus Residue Number System. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0628114-155538

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):

Cheng, Yu-Shan. “Parity Detection for Some Three-Modulus Residue Number System.” 2014. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0628114-155538.

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

MLA Handbook (7^th Edition):

Cheng, Yu-Shan. “Parity Detection for Some Three-Modulus Residue Number System.” 2014. Web. 10 Dec 2019.

Vancouver:

Cheng Y. Parity Detection for Some Three-Modulus Residue Number System. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0628114-155538.

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

Council of Science Editors:

Cheng Y. Parity Detection for Some Three-Modulus Residue Number System. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0628114-155538

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

NSYSU

19. Shen, Szu-Cheng. Event Detection and Video Summarization for Parking Lot Surveillance.

Degree: Master, Computer Science and Engineering, 2015, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0809115-151233

► Surveillance cameras are around everywhere in public. It is nearly impossible to keep watching over these monitors by human. Thus, detecting abnormal situation automatically is… (more)

Subjects/Keywords: Event Detection; Video Summarization; Video Skimming

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APA (6^th Edition):

Shen, S. (2015). Event Detection and Video Summarization for Parking Lot Surveillance. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0809115-151233

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):

Shen, Szu-Cheng. “Event Detection and Video Summarization for Parking Lot Surveillance.” 2015. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0809115-151233.

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

MLA Handbook (7^th Edition):

Shen, Szu-Cheng. “Event Detection and Video Summarization for Parking Lot Surveillance.” 2015. Web. 10 Dec 2019.

Vancouver:

Shen S. Event Detection and Video Summarization for Parking Lot Surveillance. [Internet] [Thesis]. NSYSU; 2015. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0809115-151233.

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

Council of Science Editors:

Shen S. Event Detection and Video Summarization for Parking Lot Surveillance. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0809115-151233

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

NSYSU

20. Huang, Bor-Chen. Negative Emotion Detection with Consideration of Events and Places for Chinese Posts on Facebook and Applications.

Degree: Master, Computer Science and Engineering, 2015, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1130115-184224

► As the social network gains more popular, people would like to find the related information from social nets to figure out some signs before or… (more)

Subjects/Keywords: Negative emotion detection; Data mining; Emotion classification

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APA (6^th Edition):

Huang, B. (2015). Negative Emotion Detection with Consideration of Events and Places for Chinese Posts on Facebook and Applications. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1130115-184224

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):

Huang, Bor-Chen. “Negative Emotion Detection with Consideration of Events and Places for Chinese Posts on Facebook and Applications.” 2015. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1130115-184224.

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

MLA Handbook (7^th Edition):

Huang, Bor-Chen. “Negative Emotion Detection with Consideration of Events and Places for Chinese Posts on Facebook and Applications.” 2015. Web. 10 Dec 2019.

Vancouver:

Huang B. Negative Emotion Detection with Consideration of Events and Places for Chinese Posts on Facebook and Applications. [Internet] [Thesis]. NSYSU; 2015. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1130115-184224.

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

Council of Science Editors:

Huang B. Negative Emotion Detection with Consideration of Events and Places for Chinese Posts on Facebook and Applications. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1130115-184224

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

Penn State University

21. Chen, Po-Chun. Experience-Based Cyber Security Analytics.

Degree: PhD, Computer Science and Engineering, 2010, Penn State University

URL: https://etda.libraries.psu.edu/catalog/11363

► As the demand for computational resources and connectivity increases and contemporary computer network systems become more complex, the management of cyber security is progressively becoming… (more)

Subjects/Keywords: Cyber Situation Awareness; Intrusion Detection; Situation Recognition

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APA (6^th Edition):

Chen, P. (2010). Experience-Based Cyber Security Analytics. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/11363

Chicago Manual of Style (16^th Edition):

Chen, Po-Chun. “Experience-Based Cyber Security Analytics.” 2010. Doctoral Dissertation, Penn State University. Accessed December 10, 2019. https://etda.libraries.psu.edu/catalog/11363.

MLA Handbook (7^th Edition):

Chen, Po-Chun. “Experience-Based Cyber Security Analytics.” 2010. Web. 10 Dec 2019.

Vancouver:

Chen P. Experience-Based Cyber Security Analytics. [Internet] [Doctoral dissertation]. Penn State University; 2010. [cited 2019 Dec 10]. Available from: https://etda.libraries.psu.edu/catalog/11363.

Council of Science Editors:

Chen P. Experience-Based Cyber Security Analytics. [Doctoral Dissertation]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/11363

NSYSU

22. Chen, Huei-Yang. Automatic Detection of the Asymmetric Intervals of EEG by Using the Correlation Analysis of Amplitudes.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518117-170526

► The electroencephalography is a common and valuable tool for research and diagnosis, especially when millisecond-range temporal resolution is required. EEG is usually used to diagnose… (more)

▼ The electroencephalography is a common and valuable tool for research and diagnosis, especially when millisecond-range temporal resolution is required. EEG is usually used to diagnose epilepsy and other diseases of brain. This method has low cost and non-invasive advantages, and contains a lot of information. However, the electrodes are attached on the scalp directly, so the impact of the environment is obvious. Moreover, the EEG recordings contain more than 20 channels in a test and each test records for at least 30 minutes. The EEG can reï¬ect the signs of physical conditions in every minute so the neurologists will spend a lot of time and spirit for the interpretation of the EEG recordings. There will easily be errors and omission in the interpretation. Therefore, we focus on a condition which the neurologists will pay attention to in the interpretation of EEG recordings. That is about the brain symmetry problem because our body is balanced and in the symmetrical state. If we have asymmetric situation in the brain, it means that we have the possibility of the functional abnormalities. Therefore, in this thesis, we propose two methods to determine the interval of asymmetry. The ï¬rst one is the Amplitude Diï¬erence Ratio Method (ADR), and we are based on the ratio of the amplitude between left and right hemisphere. We divide the total area under the waveforms of left and that of right hemisphere as the ratio of asymmetry. If the degree of the diï¬erence is over a threshold which we set, this interval will be marked as an asymmetry interval. Basically, our methods focus on the frontal channels of the brain to be analyze, because the front of the channels are more sensitive to the electrode positions. Otherwise, due to the EEG is usually impacted by the environment, there are peak waveforms occurred as the false abnormal cases. Therefore, we deï¬ne the size of intervals as 5 seconds which is the non-short interval while computing. It can ï¬lter out the short period of waveforms and conï¬rm that the neurologists believe that abnormal activities are persistent behavior. However, the physicians does not only consider the amplitude, but also consider the frequency, waveforms, and other speciï¬c cases for interpreting the asymmetry. If we only consider the amplitude, we could not handle all of asymmetry cases. Therefore, our second method uses the Support Vector Machine with 3 Features (SVM3F) for learning, and considers three factors: the ratio of amplitude, the ratio of root mean square and the frontal asymmetry index. We can make the computer automatically learning to detect the intervals of asymmetry. Finally, we compare our results with the physicianâs observation. Although we cannot handle all cases, we have some suggestions. The larger the number of training data is, or the representative features have, the better accuracy of the results is. Advisors/Committee Members: Gen-Huey Chen (chair), Chih-Cheng Huang (chair), Ye-In Chang (committee member), Chun-I Fan (chair), Chien-I Lee (chair).

Subjects/Keywords: SVM; Frontal Asymmetry; EEG; Detection; Asymmetric Intervals

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

APA (6^th Edition):

Chen, H. (2017). Automatic Detection of the Asymmetric Intervals of EEG by Using the Correlation Analysis of Amplitudes. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518117-170526

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):

Chen, Huei-Yang. “Automatic Detection of the Asymmetric Intervals of EEG by Using the Correlation Analysis of Amplitudes.” 2017. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518117-170526.

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

MLA Handbook (7^th Edition):

Chen, Huei-Yang. “Automatic Detection of the Asymmetric Intervals of EEG by Using the Correlation Analysis of Amplitudes.” 2017. Web. 10 Dec 2019.

Vancouver:

Chen H. Automatic Detection of the Asymmetric Intervals of EEG by Using the Correlation Analysis of Amplitudes. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518117-170526.

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

Council of Science Editors:

Chen H. Automatic Detection of the Asymmetric Intervals of EEG by Using the Correlation Analysis of Amplitudes. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518117-170526

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

University of Notre Dame

23. Troy Raeder. Shopping with Networks: An Approach to Market Basket Analysis</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2009, University of Notre Dame

URL: https://curate.nd.edu/show/8p58pc30988

► The market basket problem, the search for meaningful associations in customer purchase data, is one of the oldest problems in data mining. The typical… (more)

Subjects/Keywords: Community Detection; Complex Networks; Market Basket Analysis

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APA (6^th Edition):

Raeder, T. (2009). Shopping with Networks: An Approach to Market Basket Analysis</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/8p58pc30988

Chicago Manual of Style (16^th Edition):

Raeder, Troy. “Shopping with Networks: An Approach to Market Basket Analysis</h1>.” 2009. Masters Thesis, University of Notre Dame. Accessed December 10, 2019. https://curate.nd.edu/show/8p58pc30988.

MLA Handbook (7^th Edition):

Raeder, Troy. “Shopping with Networks: An Approach to Market Basket Analysis</h1>.” 2009. Web. 10 Dec 2019.

Vancouver:

Raeder T. Shopping with Networks: An Approach to Market Basket Analysis</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2009. [cited 2019 Dec 10]. Available from: https://curate.nd.edu/show/8p58pc30988.

Council of Science Editors:

Raeder T. Shopping with Networks: An Approach to Market Basket Analysis</h1>. [Masters Thesis]. University of Notre Dame; 2009. Available from: https://curate.nd.edu/show/8p58pc30988

NSYSU

24. Tung, Kuang-yuan. Big Data Analysis and Security Consideration with Hadoop-based Cloud Platform.

Degree: PhD, Computer Science and Engineering, 2013, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0129113-125059

► We use Hadoop to construct a trial cloud platform to tackle the challenges derived from the heavy traffic, and perform network traffic analysis and target… (more)

Subjects/Keywords: Network traffic; Security; Authentication; MapReduce; Cloud computing; Hadoop

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APA (6^th Edition):

Tung, K. (2013). Big Data Analysis and Security Consideration with Hadoop-based Cloud Platform. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0129113-125059

Chicago Manual of Style (16^th Edition):

Tung, Kuang-yuan. “Big Data Analysis and Security Consideration with Hadoop-based Cloud Platform.” 2013. Doctoral Dissertation, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0129113-125059.

MLA Handbook (7^th Edition):

Tung, Kuang-yuan. “Big Data Analysis and Security Consideration with Hadoop-based Cloud Platform.” 2013. Web. 10 Dec 2019.

Vancouver:

Tung K. Big Data Analysis and Security Consideration with Hadoop-based Cloud Platform. [Internet] [Doctoral dissertation]. NSYSU; 2013. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0129113-125059.

Council of Science Editors:

Tung K. Big Data Analysis and Security Consideration with Hadoop-based Cloud Platform. [Doctoral Dissertation]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0129113-125059

NSYSU

25. Han, Che. Nighttime Image Dehazing.

Degree: Master, Computer Science and Engineering, 2014, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0108114-110351

► Image surveillance is the major means of security monitoring. Image sequences obtained through surveillance cameras are vital sources for tracking criminal incidents and causes of… (more)

▼ Image surveillance is the major means of security monitoring. Image sequences obtained through surveillance cameras are vital sources for tracking criminal incidents and causes of accident, happening mostly at night due to lacking of light and obscurity of vision. The quality of the image plays a pivotal role in providing evidence and uncovering the truth. However, almost all image processing techniques focus on daylight environment, seldom on compensating artifacts rooted from artificial light source at night or light diffusion. The low-lighting environment and color obscurity often invalidate further identification from the surveillance video acquired. The processing of images acquired at night cannot follow the paradigm of the daylight image processing. Take image dehazing for example, the removal of haze depends on the derivation of scene depth. Dark Channel Prior (DCP), using dark channel as a prior assumption, is often applied to derive scene depth from a single image. The farthest area, with the highest intensity of light, in an image corresponds to the major source of lighting â daylight, while the area closer with lower degree of light intensity, Therefore, the depth within the scene links with the amount of background light. The above observation does not hold at night. The source of light does not come from sun, rather artificial light source, e.g., street lamp or automobile headlight. The farthest area, often dark-pitch due to lack of any light source, does not have the highest light intensity. To the best of our knowledge, no research has been reported regarding the nighttime image dehazing and enhancement. In light of the demands of higher nighttime image quality, this paper proposes an image dehazing technique, incorporating the light diffusion model, artificial light source, and segmentation of moving objects within the image sequence, to restore the nighttime scene back to the daytime one. The paper, employing the dehazing and image enhancement to remove the light diffusion in a nighttime image, is composed of daytime background dehazing and nighttime image enhancement. The scene depth is derived by applying DCP to the daytime background image, producing the corresponding depth map. The haze within the scene is removed by the dehazing algorithm to restore the daytime background. The reflectance of objects in the background can be further derived by taking the daylight intensity into consideration. The position and overall intensity of the artificial light sources can be determined through the nighttime background image first. The moving objects are then segmented from the image sequence. The reflectance of moving objects can be evaluated, given the depth map obtained from the daytime image, and position and overall intensity of the artificial light sources from the nighttime counterpart. Once the reflectance of moving objects are determined, the background and moving objects can be fused together given proper daytime lighting. Advisors/Committee Members: Chung-Nan Lee (chair), John Y. Chiang (committee member), Chia-Yen Chen (chair).

Subjects/Keywords: Color reproduction; Night image; Image dehazing; Light compensation

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

APA (6^th Edition):

Han, C. (2014). Nighttime Image Dehazing. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0108114-110351

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):

Han, Che. “Nighttime Image Dehazing.” 2014. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0108114-110351.

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

MLA Handbook (7^th Edition):

Han, Che. “Nighttime Image Dehazing.” 2014. Web. 10 Dec 2019.

Vancouver:

Han C. Nighttime Image Dehazing. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0108114-110351.

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

Council of Science Editors:

Han C. Nighttime Image Dehazing. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0108114-110351

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

NSYSU

26. Chen, Hao-ya. Adaptive Enhancement and Glow Removal of Low-light Images.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0602117-145527

► Low-light image enhancement technology has been applied in many areas, such as night surveillance systems, road safety monitoring systems, etc. However, most of the existing… (more)

Subjects/Keywords: Adaptive enhancement; Color calibration; Noise reduction; Low-light image; Glow removal

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

APA (6^th Edition):

Chen, H. (2017). Adaptive Enhancement and Glow Removal of Low-light Images. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0602117-145527

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):

Chen, Hao-ya. “Adaptive Enhancement and Glow Removal of Low-light Images.” 2017. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0602117-145527.

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

MLA Handbook (7^th Edition):

Chen, Hao-ya. “Adaptive Enhancement and Glow Removal of Low-light Images.” 2017. Web. 10 Dec 2019.

Vancouver:

Chen H. Adaptive Enhancement and Glow Removal of Low-light Images. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0602117-145527.

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

Council of Science Editors:

Chen H. Adaptive Enhancement and Glow Removal of Low-light Images. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0602117-145527

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

NSYSU

27. Chang, Fu-Sheng. Greedy-Search-based Multi-Objective Genetic Algorithm for Emergency Humanitarian Logistics Scheduling.

Degree: PhD, Computer Science and Engineering, 2016, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711116-155016

► To enable the immediate and efficient dispatch of relief to victims of disaster, this thesis proposes a greedy-search-based multi-objective genetic algorithm (GSMOGA) that is capable… (more)

▼ To enable the immediate and efficient dispatch of relief to victims of disaster, this thesis proposes a greedy-search-based multi-objective genetic algorithm (GSMOGA) that is capable of regulating the distribution of available resources and automatically generating a variety of feasible emergency logistics schedules for decision-makers. The proposed algorithm merges the features of local search ability of the greedy method and the diversity of multi-objective genetic algorithm to enhance local search speed and diversity explore ability. It uses the Google Map to draw up the available roads which connect the demand points and supply points and applies the Dijkstra algorithm to find the shortest path between each demand point and supply point. It also dynamically adjust distribution schedules from various supply points according to the requirements at demand points, and adopts the NSGAII method to perform rank & sort procedure to find the feasible solution schedules on non-dominated Pareto front in order to minimize the following: unsatisfied demand for resources, time to delivery, and transportation costs. The sequence of three objectives are also applied to be the priority sequence to generate and order routing schedules for the decision maker. The algorithm uses the case of the Chi-Chi earthquake in Taiwan to verify its performance. Simulation results demonstrate that with a limited and unlimited number of available vehicles, the proposed algorithm outperforms the multi-objective genetic algorithm (MOGA) and the standard greedy algorithms in âtime to deliveryâ by 56.16% and 64.11%, respectively under the 10,000 generations and average situation. The final routing figures show that the GSMOGA is more comprehensive in the emergency logistics scheduling problem. We study the effect of different crossover methods on the performance of GSMOGA. The results show that order based crossover performs the best. We verify the correctness of GSMOGA by comparing the result using the brute force approach. Advisors/Committee Members: Tzung-Pei Hong (chair), Yuh-Jiuan Tsay (chair), John Y. Chiang (chair), Thou-Ho Chen (chair), Chuan-Wen Chiang (chair), Chung-Nan Lee (committee member), Pei-Yin Chen (chair), Tung-Kuan Liu (chair).

Subjects/Keywords: Dynamic traffic assignment; Multi-objective optimization; Split delivery; Emergency humanitarian logistics; Greedy search

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

APA (6^th Edition):

Chang, F. (2016). Greedy-Search-based Multi-Objective Genetic Algorithm for Emergency Humanitarian Logistics Scheduling. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711116-155016

Chicago Manual of Style (16^th Edition):

Chang, Fu-Sheng. “Greedy-Search-based Multi-Objective Genetic Algorithm for Emergency Humanitarian Logistics Scheduling.” 2016. Doctoral Dissertation, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711116-155016.

MLA Handbook (7^th Edition):

Chang, Fu-Sheng. “Greedy-Search-based Multi-Objective Genetic Algorithm for Emergency Humanitarian Logistics Scheduling.” 2016. Web. 10 Dec 2019.

Vancouver:

Chang F. Greedy-Search-based Multi-Objective Genetic Algorithm for Emergency Humanitarian Logistics Scheduling. [Internet] [Doctoral dissertation]. NSYSU; 2016. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711116-155016.

Council of Science Editors:

Chang F. Greedy-Search-based Multi-Objective Genetic Algorithm for Emergency Humanitarian Logistics Scheduling. [Doctoral Dissertation]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711116-155016

NSYSU

28. Dong, Jian-fu. Optimizing the Traffic Signal Setting Problem on the Graph Model.

Degree: Master, Computer Science and Engineering, 2006, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829106-143245

► The traffic signal optimization problem is to find a traffic signal setting in a traffic network such that vehicles could arrive at their destination with… (more)

Subjects/Keywords: ant colony optimization; traffic signal; graph

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APA (6^th Edition):

Dong, J. (2006). Optimizing the Traffic Signal Setting Problem on the Graph Model. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829106-143245

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):

Dong, Jian-fu. “Optimizing the Traffic Signal Setting Problem on the Graph Model.” 2006. Thesis, NSYSU. Accessed December 10, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829106-143245.

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

MLA Handbook (7^th Edition):

Dong, Jian-fu. “Optimizing the Traffic Signal Setting Problem on the Graph Model.” 2006. Web. 10 Dec 2019.

Vancouver:

Dong J. Optimizing the Traffic Signal Setting Problem on the Graph Model. [Internet] [Thesis]. NSYSU; 2006. [cited 2019 Dec 10]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829106-143245.

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

Council of Science Editors:

Dong J. Optimizing the Traffic Signal Setting Problem on the Graph Model. [Thesis]. NSYSU; 2006. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829106-143245

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

Penn State University

29. Celik, Zeynel Berkay. Salting Public Traces with Attack Traffic to Test Flow Classifiers.

Degree: MS, Computer Science and Engineering, 2011, Penn State University

URL: https://etda.libraries.psu.edu/catalog/12196

► We consider the problem of using flow-level data for detection of botnet command and control (C&C) activity. We find that current approaches do not consider… (more)

Subjects/Keywords: security; classification; botnet detection; netflow; intrusion detection

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APA (6^th Edition):

Celik, Z. B. (2011). Salting Public Traces with Attack Traffic to Test Flow Classifiers. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/12196

Chicago Manual of Style (16^th Edition):

Celik, Zeynel Berkay. “Salting Public Traces with Attack Traffic to Test Flow Classifiers.” 2011. Masters Thesis, Penn State University. Accessed December 10, 2019. https://etda.libraries.psu.edu/catalog/12196.

MLA Handbook (7^th Edition):

Celik, Zeynel Berkay. “Salting Public Traces with Attack Traffic to Test Flow Classifiers.” 2011. Web. 10 Dec 2019.

Vancouver:

Celik ZB. Salting Public Traces with Attack Traffic to Test Flow Classifiers. [Internet] [Masters thesis]. Penn State University; 2011. [cited 2019 Dec 10]. Available from: https://etda.libraries.psu.edu/catalog/12196.

Council of Science Editors:

Celik ZB. Salting Public Traces with Attack Traffic to Test Flow Classifiers. [Masters Thesis]. Penn State University; 2011. Available from: https://etda.libraries.psu.edu/catalog/12196

University of California – San Diego

30. Binnani, Sumit. Vision-based Autonomous Driving.

Degree: Computer Science and Engineering, 2019, University of California – San Diego

URL: http://www.escholarship.org/uc/item/8n15c4n6

► Self-driving vehicle technology has become a popular topic for discussion and debate in the modern day. Although LiDAR is one of the primary sensors being… (more)

Subjects/Keywords: Artificial intelligence; Computer science; Engineering; Autonomous Driving; Computer Vision; Lane Detection; MPC Controller; Object Detection and Tracking; Perception System

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

APA (6^th Edition):

Binnani, S. (2019). Vision-based Autonomous Driving. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/8n15c4n6

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):

Binnani, Sumit. “Vision-based Autonomous Driving.” 2019. Thesis, University of California – San Diego. Accessed December 10, 2019. http://www.escholarship.org/uc/item/8n15c4n6.

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

MLA Handbook (7^th Edition):

Binnani, Sumit. “Vision-based Autonomous Driving.” 2019. Web. 10 Dec 2019.

Vancouver:

Binnani S. Vision-based Autonomous Driving. [Internet] [Thesis]. University of California – San Diego; 2019. [cited 2019 Dec 10]. Available from: http://www.escholarship.org/uc/item/8n15c4n6.

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

Council of Science Editors:

Binnani S. Vision-based Autonomous Driving. [Thesis]. University of California – San Diego; 2019. Available from: http://www.escholarship.org/uc/item/8n15c4n6

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

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Open Access Theses and Dissertations