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RISS 인기검색어
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- 저자 : De Pradipta (검색결과 4 건)
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Location-based social video sharing over next generation cellular networks
Roy, Abhishek,De, Pradipta,Saxena, Navrati IEEE 2015 IEEE communications magazine Vol.53 No.10
<P>The popularity of video sharing over social networks is straining service providers to maintain high quality of service. With the introduction of live video streaming over social networks, video sharing is truly becoming social and real time. However, existing video distribution architecture, split across content providers and mobile network operators, cannot leverage crossprovider information. We argue that MNOs can explore the knowledge of users' location to route video traffic intelligently. This can enable better quality of experience for live social video sharing. We show different scenarios in existing cellular networks, where user experience can suffer due to current video distribution mechanism. We propose that use of the location information of the receiver with respect to the sender can be exploited by next generation cellular networks for improving video streaming quality. Our simulation experiments validate that on all QoE metrics there is opportunity for significant improvement in live video streaming by using relative locations of the receivers and senders.</P>
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3B-ARA: Bandwidth, Buffer, and Battery Aware Rate Adaptation for Dynamic HTTP Streaming
Ahmad, Hasnah,Saxena, Navrati,Roy, Abhishek,De, Pradipta IEEE 2018 IEEE communications letters Vol.22 No.5
<P>This letter proposes a novel rate adaptation framework for dynamic adaptive streaming where three factors-available bandwidth, buffer state, and residual battery status, jointly determine the bit rate selected. We model the rate adaptation problem as a Markov Decision Process (MDP) with a goal to optimize video streaming experience as measured by video playback quality and buffer occupancy. Using simulation study, we show that our approach, termed as 3B-ARA, reduces rebuffering rate by over 20% while delivering a comparable average video rate and maintaining an average of 93% buffer occupancy as compared to other existing rate adaptation approaches.</P>
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Smartphone based approximate localization using user highlighted texts from images
Im, Taeyu,Coelho, Darius,Mueller, Klaus,De, Pradipta Elsevier 2018 Pervasive and mobile computing Vol.46 No.-
<P><B>Abstract</B></P> <P>In many application scenarios, an approximate location can suffice instead of achieving high accuracy of GPS, or other network infrastructure enabled localization. This can lead to design of localization systems low in resource consumption, and faster in obtaining a result. In this work, we design and implement a lightweight localization system, called WhereAmI, that can perform coarse localization with low resource requirement. The key intuition behind this work is that a collection of nearby textual signs in an image representing a user’s surrounding forms a bag-of-words that provides a unique signature for her location. Due to the low performance of Optical Character Recognition (OCR) engine in outdoor settings, we develop a keyword-based positioning algorithm that can work even with partial errors in the detected texts representing business names. The partial errors in recognized business names are handled by using an n-gram-based text correction approach. We use a cloud based web service for offloading parts of the application workloads intelligently to save resources, like energy and network cost. The Android based prototype of WhereAmI is tested in uncontrolled environments. The experimental results show that WhereAmI can achieve 95% accuracy while consuming 20% less power than that of GPS. The proposed keyword-based positioning algorithm takes about 59 ms on average for returning the location.</P>
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Yoon, Moonseok,Lee, Jiyun,Pullen, Sam,Gillespie, Joseph,Mathur, Navin,Cole, Rich,de Souza, Jonas Rodrigues,Doherty, Patricia,Pradipta, Rezy Wiley (John WileySons) 2017 Navigation Vol.64 No.3
<P>The Brazil ionospheric study project aims to develop a new ground-based augmentation system (GBAS) ionospheric threat model to better reflect Brazil's low-latitude conditions. Data processing from the global navigation satellite system for 123 active ionospheric days identified 1017 anomalous ionospheric gradients caused by nighttime equatorial plasma bubbles (EPBs). A significant number of gradients, including the largest verified gradient of 850.7mm/km, exceed the upper bound (375-425mm/km) of the conterminous United States (CONUS) threat model. This paper defines a series of parameters to model the geometry of EPBs. A maximum ionospheric delay drop of 35m and a transition zone between 20 and 450km are estimated for EPBs that move roughly eastward and parallel to the geomagnetic equator with speeds between 40 and 250m/s. These parameters are key to the development of a GBAS ionospheric mitigation and safety case for operational approval in Brazil and other low-latitude locations. Copyright (C) 2017 Institute of Navigation</P>
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