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You searched for subject:(which tested the system s capability in accommodating Dynamic Power Management DPM techniques that can achieve greater benefits A novel approach for implementing the deep sleep mechanism was also proposed AND found that it can obtain up to 71 54 power savings). Showing records 1 – 2 of 2 total matches.

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1. Mallangi, Siva Sai Reddy. Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip.

Degree: Information and Communication Technology (ICT), 2017, KTH

Multi functional health monitoring wearable devices are quite prominent these days. Usually these devices are battery-operated and consequently are limited by their battery life (from few hours to a few weeks depending on the application). Of late, it was realized that these devices, which are currently being operated at fixed voltage and frequency, are capable of operating at multiple voltages and frequencies. By switching these voltages and frequencies to lower values based upon power requirements, these devices can achieve tremendous benefits in the form of energy savings. Dynamic Voltage and Frequency Scaling (DVFS) techniques have proven to be handy in this situation for an efficient trade-off between energy and timely behavior. Within imec, wearable devices make use of the indigenously developed MUSEIC v2 (Multi Sensor Integrated circuit version 2.0). This system is optimized for efficient and accurate collection, processing, and transfer of data from multiple (health) sensors. MUSEIC v2 has limited means in controlling the voltage and frequency dynamically. In this thesis we explore how traditional DVFS techniques can be applied to the MUSEIC v2. Experiments were conducted to find out the optimum power modes to efficiently operate and also to scale up-down the supply voltage and frequency. Considering the overhead caused when switching voltage and frequency, transition analysis was also done. Real-time and non real-time benchmarks were implemented based on these techniques and their performance results were obtained and analyzed. In this process, several state of the art scheduling algorithms and scaling techniques were reviewed in identifying a suitable technique. Using our proposed scaling technique implementation, we have achieved 86.95% power reduction in average, in contrast to the conventional way of the MUSEIC v2 chip’s processor operating at a fixed voltage and frequency. Techniques that include light sleep and deep sleep mode were also studied and implemented, which tested the system’s capability in accommodating Dynamic Power Management (DPM) techniques that can achieve greater benefits. A novel approach for implementing the deep sleep mechanism was also proposed and found that it can obtain up to 71.54% power savings, when compared to a traditional way of executing deep sleep mode.

Nuförtiden så har multifunktionella bärbara hälsoenheter fått en betydande roll. Dessa enheter drivs vanligtvis av batterier och är därför begränsade av batteritiden (från ett par timmar till ett par veckor beroende på tillämpningen). På senaste tiden har det framkommit att dessa enheter som används vid en fast spänning och frekvens kan användas vid flera spänningar och frekvenser. Genom att byta till lägre spänning och frekvens på grund av effektbehov så kan enheterna få enorma fördelar när det kommer till energibesparing. Dynamisk skalning av spänning och frekvens-tekniker (såkallad Dynamic Voltage and Frequency Scaling, DVFS) har visat sig vara användbara i detta sammanhang för en effektiv avvägning…

Subjects/Keywords: Multi functional health monitoring wearable devices are quite prominent these days. Usually these devices are battery-operated and consequently are limited by their battery life (from few hours to a few weeks depending on the application). Of late; it was realized that these devices; which are currently being operated at fixed voltage and frequency; are capable of operating at multiple voltages and frequencies. By switching these voltages and frequencies to lower values based upon power requirements; these devices can achieve tremendous benefits in the form of energy savings. Dynamic Voltage and Frequency Scaling (DVFS) techniques have proven to be handy in this situation for an efficient trade-off between energy and timely behavior. Within imec; wearable devices make use of the indigenously developed MUSEIC v2 (Multi Sensor Integrated circuit - version 2.0). This system is optimized for efficient and accurate collection; processing; and transfer of data from multiple (health) sensors. MUSEIC v2 has limited means in controlling the voltage and frequency dynamically. In this thesis we explore how traditional DVFS techniques can be applied to the MUSEIC v2. Experiments were conducted to find out the optimum power modes to efficiently operate and also to scale up-down the supply voltage and frequency. Considering the overhead caused when switching voltage and frequency; transition analysis was also done. Real-time and non real-time benchmarks were implemented based on these techniques and their performance results were obtained and analyzed. In this process; several state of the art scheduling algorithms and scaling techniques were reviewed in identifying a suitable technique. Using our proposed scaling technique implementation; we have achieved 86.95% power reduction in average; in contrast to the conventional way of the MUSEIC v2 chip’s processor operating at a fixed voltage and frequency. Techniques that include light sleep and deep sleep mode were also studied and implemented; which tested the system’s capability in accommodating Dynamic Power Management (DPM) techniques that can achieve greater benefits. A novel approach for implementing the deep sleep mechanism was also proposed and found that it can obtain up to 71.54% power savings; when compared to a traditional way of executing deep sleep mode. Keywords - low-power; DVFS; DPM; energy; wearable devices; voltage and frequency scal- ing; låg effekt; DVFS; DPM; energi; bärbara enheter; spänning och frekvensskalning; Computer and Information Sciences; Data- och informationsvetenskap; Electrical Engineering, Electronic Engineering, Information Engineering; Elektroteknik och elektronik

Also the reason that it is not required to provide such a deep information. Therefore, this… …before, dynamic power can be reduced by decreasing the supply voltage, and that can lead to a… …techniques can be broadly divided into DVFS and DPM techniques, according to the power management… …power management techniques are already under development, which are also embraced as the main… …which has maximum functionalities in it. Smart-phone is a good example for this, which was… 

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

APA (6th Edition):

Mallangi, S. S. R. (2017). Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229443

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

Chicago Manual of Style (16th Edition):

Mallangi, Siva Sai Reddy. “Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip.” 2017. Thesis, KTH. Accessed January 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229443.

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

MLA Handbook (7th Edition):

Mallangi, Siva Sai Reddy. “Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip.” 2017. Web. 20 Jan 2020.

Vancouver:

Mallangi SSR. Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip. [Internet] [Thesis]. KTH; 2017. [cited 2020 Jan 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229443.

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

Council of Science Editors:

Mallangi SSR. Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229443

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


Harvard University

2. Kappy, Brandon Joshua. Beyond the BATNA: Negotiation Training for a Complex World.

Degree: Doctor of Medicine, 2017, Harvard University

Today’s world is more complex than ever before. Negotiations that were once focused on one or two isolated issues now encompass multiple sectors and an increasing number of parties. Negotiators must constantly make decisions based on uncertain and changing information –decisions that often have irreversible impacts on relationships and deal outcomes. Training policymakers, business leaders, and nonprofits to negotiate in an evolving 21st century has never been more important or challenging. Dragonfly Negotiations & Consulting is a client-based company that works with organizations in order to impart negotiation and leadership skills. Dragonfly provides training for clients that are focused on advancing social change within their respective fields –organizations that are often operating on the cutting edge of complicated social policies. Dragonfly, along with the vast majority of other negotiation consulting firms and academic negotiation courses, primarily relies on simulations to teach negotiation skills and lessons. Simulations, a form of experiential learning, are particularly prevalent in negotiation training given the important role that soft skills and social processes play in mastering the field. Yet despite the increase in complexity found in today’s real-world negotiations, simulations have failed to similarly evolve. This report seeks to answer how Dragonfly can best design and implement simulations that teach its clients to negotiate in an exceedingly complicated world. In order to do so, a gap-analysis of presently available simulations was performed, derived by creating a framework that isolated the architectural components found in different types of negotiation simulations. These findings indicate that though a substantial number of simulations involve multiple parties and nonscorable interests, very few simulations contain the dynamic complexity of real-world negotiations. To form recommendations for how Dragonfly can design future complex simulations, the unique features of real world negotiations were identified and combined with pedagogical theories deconstructed from existing simulations. Supplementing these recommendations, this report provides a proposed simulation example that incorporates a new, complex design, as well as potential criteria to evaluate the success of future simulations. To assist Dragonfly in implementing these recommendations, a barriers analysis was conducted to help overcome potential issues.

Scholarly Project

Subjects/Keywords: Today’s world is more complex than ever before. Negotiations that were once focused on one or two isolated issues now encompass multiple sectors and an increasing number of parties. Negotiators must constantly make decisions based on uncertain and changing information – decisions that often have irreversible impacts on relationships and deal outcomes. Training policymakers; business leaders; and nonprofits to negotiate in an evolving 21st century has never been more important or challenging. Dragonfly Negotiations & Consulting is a client-based company that works with organizations in order to impart negotiation and leadership skills. Dragonfly provides training for clients that are focused on advancing social change within their respective fields – organizations that are often operating on the cutting edge of complicated social policies. Dragonfly; along with the vast majority of other negotiation consulting firms and academic negotiation courses; primarily relies on simulations to teach negotiation skills and lessons. Simulations; a form of experiential learning; are particularly prevalent in negotiation training given the important role that soft skills and social processes play in mastering the field. Yet despite the increase in complexity found in today’s realworld negotiations; simulations have failed to similarly evolve. This report seeks to answer how Dragonfly can best design and implement simulations that teach its clients to negotiate in an exceedingly complicated world. In order to do so; a gap-analysis of presently available simulations was performed; derived by creating a framework that isolated the architectural components found in different types of negotiation simulations. These findings indicate that though a substantial number of simulations involve multiple parties and nonscorable interests; very few simulations contain the dynamic complexity of real-world negotiations. To form recommendations for how Dragonfly can design future complex simulations; the unique features of real-world negotiations were identified and combined with pedagogical theories deconstructed from existing simulations. Supplementing these recommendations; this report provides a proposed simulation example that incorporates a new; complex design; as well as potential criteria to evaluate the success of future simulations. To assist Dragonfly in implementing these recommendations; a barriers analysis was conducted to help overcome potential issues.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kappy, B. J. (2017). Beyond the BATNA: Negotiation Training for a Complex World. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:40621384

Chicago Manual of Style (16th Edition):

Kappy, Brandon Joshua. “Beyond the BATNA: Negotiation Training for a Complex World.” 2017. Doctoral Dissertation, Harvard University. Accessed January 20, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:40621384.

MLA Handbook (7th Edition):

Kappy, Brandon Joshua. “Beyond the BATNA: Negotiation Training for a Complex World.” 2017. Web. 20 Jan 2020.

Vancouver:

Kappy BJ. Beyond the BATNA: Negotiation Training for a Complex World. [Internet] [Doctoral dissertation]. Harvard University; 2017. [cited 2020 Jan 20]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:40621384.

Council of Science Editors:

Kappy BJ. Beyond the BATNA: Negotiation Training for a Complex World. [Doctoral Dissertation]. Harvard University; 2017. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:40621384

.