�ݺ�ߣshows by User: PrasantMisra

�ݺ�ߣshows by User: PrasantMisra / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: PrasantMisra / Mon, 19 Dec 2022 08:58:03 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: PrasantMisra Hybrid Planner for Smart Charging of Electric Fleets /slideshow/hybrid-planner-for-smart-charging-of-electric-fleets/254949816 aimlsys-2022-external-221219085804-15600ea8
Hybrid Planner for Smart Charging of Electric Fleets]]>
Hybrid Planner for Smart Charging of Electric Fleets]]> Mon, 19 Dec 2022 08:58:03 GMT /slideshow/hybrid-planner-for-smart-charging-of-electric-fleets/254949816 PrasantMisra@slideshare.net(PrasantMisra) Hybrid Planner for Smart Charging of Electric Fleets PrasantMisra Hybrid Planner for Smart Charging of Electric Fleets <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aimlsys-2022-external-221219085804-15600ea8-thumbnail.jpg?width=120&height=120&fit=bounds" /> Hybrid Planner for Smart Charging of Electric Fleets

Hybrid Planner for Smart Charging of Electric Fleets from Prasant Misra

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0 Reinforcement Learning for EVRP with V2G /slideshow/reinforcement-learning-for-evrp-with-v2g/254949804 alawkaamas-2022-external-221219085653-39ea98a8
Reinforcement Learning for EVRP with V2G]]>
Reinforcement Learning for EVRP with V2G]]> Mon, 19 Dec 2022 08:56:52 GMT /slideshow/reinforcement-learning-for-evrp-with-v2g/254949804 PrasantMisra@slideshare.net(PrasantMisra) Reinforcement Learning for EVRP with V2G PrasantMisra Reinforcement Learning for EVRP with V2G <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/alawkaamas-2022-external-221219085653-39ea98a8-thumbnail.jpg?width=120&height=120&fit=bounds" /> Reinforcement Learning for EVRP with V2G

Reinforcement Learning for EVRP with V2G from Prasant Misra

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0 How can Mobility be used to solve Social Problems? /slideshow/how-can-mobility-be-used-to-solve-social-problems-231649027/231649027 2020-mobility4acause-webinar-200408191133
"Mobility for a Cause" is an aspiration to use mobile systems as an agent to address complex social problems. Systems can be mobile either by design (such as drones, ground robots, autonomous vehicles), or by the manner of usage (such as phones and wearables). The aim of this talk is to share practical applications in this space, and post problems that can potentially be solved using the inherent nature of mobility.]]>
"Mobility for a Cause" is an aspiration to use mobile systems as an agent to address complex social problems. Systems can be mobile either by design (such as drones, ground robots, autonomous vehicles), or by the manner of usage (such as phones and wearables). The aim of this talk is to share practical applications in this space, and post problems that can potentially be solved using the inherent nature of mobility.]]> Wed, 08 Apr 2020 19:11:33 GMT /slideshow/how-can-mobility-be-used-to-solve-social-problems-231649027/231649027 PrasantMisra@slideshare.net(PrasantMisra) How can Mobility be used to solve Social Problems? PrasantMisra "Mobility for a Cause" is an aspiration to use mobile systems as an agent to address complex social problems. Systems can be mobile either by design (such as drones, ground robots, autonomous vehicles), or by the manner of usage (such as phones and wearables). The aim of this talk is to share practical applications in this space, and post problems that can potentially be solved using the inherent nature of mobility. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2020-mobility4acause-webinar-200408191133-thumbnail.jpg?width=120&height=120&fit=bounds" /> "Mobility for a Cause" is an aspiration to use mobile systems as an agent to address complex social problems. Systems can be mobile either by design (such as drones, ground robots, autonomous vehicles), or by the manner of usage (such as phones and wearables). The aim of this talk is to share practical applications in this space, and post problems that can potentially be solved using the inherent nature of mobility.

How can Mobility be used to solve Social Problems? from Prasant Misra

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0 A Short Course on the Internet of Things /slideshow/a-short-course-on-the-internet-of-things/91073066 shortcourseiot-180318150241
A Short Course on the Internet of Things]]>
A Short Course on the Internet of Things]]> Sun, 18 Mar 2018 15:02:41 GMT /slideshow/a-short-course-on-the-internet-of-things/91073066 PrasantMisra@slideshare.net(PrasantMisra) A Short Course on the Internet of Things PrasantMisra A Short Course on the Internet of Things <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/shortcourseiot-180318150241-thumbnail.jpg?width=120&height=120&fit=bounds" /> A Short Course on the Internet of Things

A Short Course on the Internet of Things from Prasant Misra

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0 Emerging Networking Technologies for Industrial Applications /slideshow/emerging-networking-technologies-for-industrial-applications/65662461 ietfindusrialwireless-160903182939
Emerging Networking Technologies for Industrial Applications: Note that it is "NOT" an exhaustive survey on this topic.]]>
Emerging Networking Technologies for Industrial Applications: Note that it is "NOT" an exhaustive survey on this topic.]]> Sat, 03 Sep 2016 18:29:39 GMT /slideshow/emerging-networking-technologies-for-industrial-applications/65662461 PrasantMisra@slideshare.net(PrasantMisra) Emerging Networking Technologies for Industrial Applications PrasantMisra Emerging Networking Technologies for Industrial Applications: Note that it is "NOT" an exhaustive survey on this topic. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ietfindusrialwireless-160903182939-thumbnail.jpg?width=120&height=120&fit=bounds" /> Emerging Networking Technologies for Industrial Applications: Note that it is "NOT" an exhaustive survey on this topic.

Emerging Networking Technologies for Industrial Applications from Prasant Misra

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0 Energy Efficient GPS Acquisition with Sparse-GPS /slideshow/energy-efficient-gps-acquisition-with-sparsegps/65430473 ipsn2014-sparse-gps-uploadedslideshare-160828044354
Following rising demands in positioning with GPS, low-cost receivers are becoming widely available; but their energy demands are still too high. For energy efficient GPS sensing in delay-tolerant applications, the possibility of offloading a few milliseconds of raw signal samples and leveraging the greater processing power of the cloud for obtaining a position fix is being actively investigated. In an attempt to reduce the energy cost of this data offloading operation, we propose Sparse-GPS: a new computing framework for GPS acquisition via sparse approximation. Within the framework, GPS signals can be efficiently compressed by random ensembles. The sparse acquisition information, pertaining to the visible satellites that are embedded within these limited measurements, can subsequently be recovered by our proposed representation dictionary. By extensive empirical evaluations, we demonstrate the acquisition quality and energy gains of Sparse-GPS. We show that it is twice as energy efficient than offloading uncompressed data, and has 5-10 times lower energy costs than standalone GPS; with a median positioning accuracy of 40 m.]]>
Following rising demands in positioning with GPS, low-cost receivers are becoming widely available; but their energy demands are still too high. For energy efficient GPS sensing in delay-tolerant applications, the possibility of offloading a few milliseconds of raw signal samples and leveraging the greater processing power of the cloud for obtaining a position fix is being actively investigated. In an attempt to reduce the energy cost of this data offloading operation, we propose Sparse-GPS: a new computing framework for GPS acquisition via sparse approximation. Within the framework, GPS signals can be efficiently compressed by random ensembles. The sparse acquisition information, pertaining to the visible satellites that are embedded within these limited measurements, can subsequently be recovered by our proposed representation dictionary. By extensive empirical evaluations, we demonstrate the acquisition quality and energy gains of Sparse-GPS. We show that it is twice as energy efficient than offloading uncompressed data, and has 5-10 times lower energy costs than standalone GPS; with a median positioning accuracy of 40 m.]]> Sun, 28 Aug 2016 04:43:54 GMT /slideshow/energy-efficient-gps-acquisition-with-sparsegps/65430473 PrasantMisra@slideshare.net(PrasantMisra) Energy Efficient GPS Acquisition with Sparse-GPS PrasantMisra Following rising demands in positioning with GPS, low-cost receivers are becoming widely available; but their energy demands are still too high. For energy efficient GPS sensing in delay-tolerant applications, the possibility of offloading a few milliseconds of raw signal samples and leveraging the greater processing power of the cloud for obtaining a position fix is being actively investigated. In an attempt to reduce the energy cost of this data offloading operation, we propose Sparse-GPS: a new computing framework for GPS acquisition via sparse approximation. Within the framework, GPS signals can be efficiently compressed by random ensembles. The sparse acquisition information, pertaining to the visible satellites that are embedded within these limited measurements, can subsequently be recovered by our proposed representation dictionary. By extensive empirical evaluations, we demonstrate the acquisition quality and energy gains of Sparse-GPS. We show that it is twice as energy efficient than offloading uncompressed data, and has 5-10 times lower energy costs than standalone GPS; with a median positioning accuracy of 40 m. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ipsn2014-sparse-gps-uploadedslideshare-160828044354-thumbnail.jpg?width=120&height=120&fit=bounds" /> Following rising demands in positioning with GPS, low-cost receivers are becoming widely available; but their energy demands are still too high. For energy efficient GPS sensing in delay-tolerant applications, the possibility of offloading a few milliseconds of raw signal samples and leveraging the greater processing power of the cloud for obtaining a position fix is being actively investigated. In an attempt to reduce the energy cost of this data offloading operation, we propose Sparse-GPS: a new computing framework for GPS acquisition via sparse approximation. Within the framework, GPS signals can be efficiently compressed by random ensembles. The sparse acquisition information, pertaining to the visible satellites that are embedded within these limited measurements, can subsequently be recovered by our proposed representation dictionary. By extensive empirical evaluations, we demonstrate the acquisition quality and energy gains of Sparse-GPS. We show that it is twice as energy efficient than offloading uncompressed data, and has 5-10 times lower energy costs than standalone GPS; with a median positioning accuracy of 40 m.

Energy Efficient GPS Acquisition with Sparse-GPS from Prasant Misra

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0 The NEEDS vs. the WANTS in IoT /slideshow/the-needs-vs-the-wants-in-iot/65391530 balacingtheneedsvsthewantsiot-160826124013
The Internet of Things, or the IoT is a vision for a ubiquitous society wherein people and “Things” are connected in an immersively networked computing environment, with the connected “Things” providing utility to people/enterprises and their digital shadows, through intelligent social and commercial services. However, translating this idea to a conceivable reality is a work in progress for close to two decades; mostly, due to assumptions favoured more towards a “Things”-centric rather than a “Human”-centric approach coupled with the evolution/deployment ecosystem of IoT technologies. Estimates on the spread and economic impact of IoT over the next few years are in the neighborhood of 50 billion or more connected “Things” with a market exceeding $350 billion through smarter cities and infrastructure, intelligent appliances, and healthier lifestyles. While many of these potential benefits from IoT are real and achievable, the road to accomplish these may need an rethink. In the last few years, there has been a realization that an effective architecture for IoT (particularly, for emerging nations with limited technology penetration at the national scale) that is both affordable and sustainable should be based on tangible technology advances in the present, ubiquitous capabilities of the present/future, and practical application scenarios of social and entrepreneurial value. Hence, there is a revitalized interest to rethink the above assumptions, and this exercise has led to a more plausible set of scenarios wherein humans along with data, communication and devices play key roles. In this presentation, an attempt is made to disaggregate these core problems; and offer a trajectory with a set of design paradigms for a renewed IoT ecosystem.]]>
The Internet of Things, or the IoT is a vision for a ubiquitous society wherein people and “Things” are connected in an immersively networked computing environment, with the connected “Things” providing utility to people/enterprises and their digital shadows, through intelligent social and commercial services. However, translating this idea to a conceivable reality is a work in progress for close to two decades; mostly, due to assumptions favoured more towards a “Things”-centric rather than a “Human”-centric approach coupled with the evolution/deployment ecosystem of IoT technologies. Estimates on the spread and economic impact of IoT over the next few years are in the neighborhood of 50 billion or more connected “Things” with a market exceeding $350 billion through smarter cities and infrastructure, intelligent appliances, and healthier lifestyles. While many of these potential benefits from IoT are real and achievable, the road to accomplish these may need an rethink. In the last few years, there has been a realization that an effective architecture for IoT (particularly, for emerging nations with limited technology penetration at the national scale) that is both affordable and sustainable should be based on tangible technology advances in the present, ubiquitous capabilities of the present/future, and practical application scenarios of social and entrepreneurial value. Hence, there is a revitalized interest to rethink the above assumptions, and this exercise has led to a more plausible set of scenarios wherein humans along with data, communication and devices play key roles. In this presentation, an attempt is made to disaggregate these core problems; and offer a trajectory with a set of design paradigms for a renewed IoT ecosystem.]]> Fri, 26 Aug 2016 12:40:13 GMT /slideshow/the-needs-vs-the-wants-in-iot/65391530 PrasantMisra@slideshare.net(PrasantMisra) The NEEDS vs. the WANTS in IoT PrasantMisra The Internet of Things, or the IoT is a vision for a ubiquitous society wherein people and “Things” are connected in an immersively networked computing environment, with the connected “Things” providing utility to people/enterprises and their digital shadows, through intelligent social and commercial services. However, translating this idea to a conceivable reality is a work in progress for close to two decades; mostly, due to assumptions favoured more towards a “Things”-centric rather than a “Human”-centric approach coupled with the evolution/deployment ecosystem of IoT technologies. Estimates on the spread and economic impact of IoT over the next few years are in the neighborhood of 50 billion or more connected “Things” with a market exceeding $350 billion through smarter cities and infrastructure, intelligent appliances, and healthier lifestyles. While many of these potential benefits from IoT are real and achievable, the road to accomplish these may need an rethink. In the last few years, there has been a realization that an effective architecture for IoT (particularly, for emerging nations with limited technology penetration at the national scale) that is both affordable and sustainable should be based on tangible technology advances in the present, ubiquitous capabilities of the present/future, and practical application scenarios of social and entrepreneurial value. Hence, there is a revitalized interest to rethink the above assumptions, and this exercise has led to a more plausible set of scenarios wherein humans along with data, communication and devices play key roles. In this presentation, an attempt is made to disaggregate these core problems; and offer a trajectory with a set of design paradigms for a renewed IoT ecosystem. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/balacingtheneedsvsthewantsiot-160826124013-thumbnail.jpg?width=120&height=120&fit=bounds" /> The Internet of Things, or the IoT is a vision for a ubiquitous society wherein people and “Things” are connected in an immersively networked computing environment, with the connected “Things” providing utility to people/enterprises and their digital shadows, through intelligent social and commercial services. However, translating this idea to a conceivable reality is a work in progress for close to two decades; mostly, due to assumptions favoured more towards a “Things”-centric rather than a “Human”-centric approach coupled with the evolution/deployment ecosystem of IoT technologies. Estimates on the spread and economic impact of IoT over the next few years are in the neighborhood of 50 billion or more connected “Things” with a market exceeding $350 billion through smarter cities and infrastructure, intelligent appliances, and healthier lifestyles. While many of these potential benefits from IoT are real and achievable, the road to accomplish these may need an rethink. In the last few years, there has been a realization that an effective architecture for IoT (particularly, for emerging nations with limited technology penetration at the national scale) that is both affordable and sustainable should be based on tangible technology advances in the present, ubiquitous capabilities of the present/future, and practical application scenarios of social and entrepreneurial value. Hence, there is a revitalized interest to rethink the above assumptions, and this exercise has led to a more plausible set of scenarios wherein humans along with data, communication and devices play key roles. In this presentation, an attempt is made to disaggregate these core problems; and offer a trajectory with a set of design paradigms for a renewed IoT ecosystem.

The NEEDS vs. the WANTS in IoT from Prasant Misra

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0 Link Layer Protocols for WSN-based IoT /slideshow/link-layer-protocols-for-wsnbased-iot/65390377 linklayerprotocols4iot-160826115721
This presentation provides a comprehensive state-of-the-art study of wireless sensor networks(WSN) - based IoT MAC protocols, design guidelines that inspired these protocols, as well as their drawbacks and shortcomings.]]>
This presentation provides a comprehensive state-of-the-art study of wireless sensor networks(WSN) - based IoT MAC protocols, design guidelines that inspired these protocols, as well as their drawbacks and shortcomings.]]> Fri, 26 Aug 2016 11:57:21 GMT /slideshow/link-layer-protocols-for-wsnbased-iot/65390377 PrasantMisra@slideshare.net(PrasantMisra) Link Layer Protocols for WSN-based IoT PrasantMisra This presentation provides a comprehensive state-of-the-art study of wireless sensor networks(WSN) - based IoT MAC protocols, design guidelines that inspired these protocols, as well as their drawbacks and shortcomings. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/linklayerprotocols4iot-160826115721-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation provides a comprehensive state-of-the-art study of wireless sensor networks(WSN) - based IoT MAC protocols, design guidelines that inspired these protocols, as well as their drawbacks and shortcomings.

Link Layer Protocols for WSN-based IoT from Prasant Misra

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0 Challenges in Analytics for BIG Data /slideshow/challenges-in-analytics-for-big-data/65389893 challengesinanalytics4bigdata-160826113951
Challenges in Analytics for BIG Data]]>
Challenges in Analytics for BIG Data]]> Fri, 26 Aug 2016 11:39:51 GMT /slideshow/challenges-in-analytics-for-big-data/65389893 PrasantMisra@slideshare.net(PrasantMisra) Challenges in Analytics for BIG Data PrasantMisra Challenges in Analytics for BIG Data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/challengesinanalytics4bigdata-160826113951-thumbnail.jpg?width=120&height=120&fit=bounds" /> Challenges in Analytics for BIG Data

Challenges in Analytics for BIG Data from Prasant Misra

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0 https://cdn.slidesharecdn.com/profile-photo-PrasantMisra-48x48.jpg?cb=1723138178 Prasant works on intelligent cyber-physical systems for smart electric mobility. sites.google.com/site/prasantmisra https://cdn.slidesharecdn.com/ss_thumbnails/aimlsys-2022-external-221219085804-15600ea8-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/hybrid-planner-for-smart-charging-of-electric-fleets/254949816 Hybrid Planner for Sma... https://cdn.slidesharecdn.com/ss_thumbnails/alawkaamas-2022-external-221219085653-39ea98a8-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/reinforcement-learning-for-evrp-with-v2g/254949804 Reinforcement Learning... https://cdn.slidesharecdn.com/ss_thumbnails/2020-mobility4acause-webinar-200408191133-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/how-can-mobility-be-used-to-solve-social-problems-231649027/231649027 How can Mobility be us...