The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
K E Parsopoulos - One of the best experts on this subject based on the ideXlab platform.
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optimal power allocation and joint source channel coding for wireless ds cdma visual sensor networks using the nash bargaining solution
International Conference on Acoustics Speech and Signal Processing, 2011Co-Authors: Katerina Pandremmenou, Lisimachos P Kondi, K E ParsopoulosAbstract:We consider the problem of resource allocation for a Direct Sequence Code Division Multiple Access (DS-CDMA) wireless visual sensor network (VSN).We use the Nash Bargaining Solution (NBS) from game theory in order to determine the transmission power and source and channel coding Rate for each node. The NBS assumes that the nodes negotiate (using the help of a centralized control unit) in order to jointly determine their transmission parameters. The transmission powers are allowed to take continuous values, whereas the source and channel coding Rate Combination can only assume discrete values. Thus, the resulting optimization problem is a mixed-integer optimization task and is solved using Particle Swarm Optimization (PSO). Experimental results are provided and conclusions are drawn.
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ICASSP - Optimal power allocation and joint source-channel coding for wireless DS-CDMA visual sensor networks using the Nash Bargaining Solution
2011 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2011Co-Authors: Katerina Pandremmenou, Lisimachos P Kondi, K E ParsopoulosAbstract:We consider the problem of resource allocation for a Direct Sequence Code Division Multiple Access (DS-CDMA) wireless visual sensor network (VSN).We use the Nash Bargaining Solution (NBS) from game theory in order to determine the transmission power and source and channel coding Rate for each node. The NBS assumes that the nodes negotiate (using the help of a centralized control unit) in order to jointly determine their transmission parameters. The transmission powers are allowed to take continuous values, whereas the source and channel coding Rate Combination can only assume discrete values. Thus, the resulting optimization problem is a mixed-integer optimization task and is solved using Particle Swarm Optimization (PSO). Experimental results are provided and conclusions are drawn.
Yun Ye - One of the best experts on this subject based on the ideXlab platform.
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VCIP - Joint video/depth/FEC Rate allocation with considering 3D visual saliency for scalable 3D video streaming
2013 Visual Communications and Image Processing (VCIP), 2013Co-Authors: Song Ci, Yun YeAbstract:For robust video plus depth based 3D video streaming, video, depth and packet-level forward error correction (FEC) can provide many Rate Combinations with various 3D visual qualities to adapt to the dynamic channel conditions. Video/depth/FEC Rate allocation under the channel bandwidth constraint is an important optimization problem for robust 3D video streaming. This paper proposes a joint video/depth/FEC Rate allocation method by maximizing the receiver's 3D visual quality. Through predicting the perceptual 3D visual qualities of the different video/depth/FEC Rate Combinations, the optimal GOP-level video/depth/FEC Rate Combination can be found. Further, the selected FEC Rates are unequally assigned to different levels of 3D saliency regions within each video/depth frame. The effectiveness of the proposed 3D saliency based joint video/depth/FEC Rate allocation method for scalable 3D video streaming is validated by extensive experimental results.
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Joint video/depth/FEC Rate allocation with considering 3D visual saliency for scalable 3D video streaming
2013 Visual Communications and Image Processing (VCIP), 2013Co-Authors: Song Ci, Yun YeAbstract:For robust video plus depth based 3D video streaming, video, depth and packet-level forward error correction (FEC) can provide many Rate Combinations with various 3D visual qualities to adapt to the dynamic channel conditions. Video/depth/FEC Rate allocation under the channel bandwidth constraint is an important optimization problem for robust 3D video streaming. This paper proposes a joint video/depth/FEC Rate allocation method by maximizing the receiver's 3D visual quality. Through predicting the perceptual 3D visual qualities of the different video/depth/FEC Rate Combinations, the optimal GOP-level video/depth/FEC Rate Combination can be found. Further, the selected FEC Rates are unequally assigned to different levels of 3D saliency regions within each video/depth frame. The effectiveness of the proposed 3D saliency based joint video/depth/FEC Rate allocation method for scalable 3D video streaming is validated by extensive experimental results.
Xuemai Gu - One of the best experts on this subject based on the ideXlab platform.
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An optimal link and Rate Combination search algorithm for STDMA MAC protocols
2016 IEEE Wireless Communications and Networking Conference, 2016Co-Authors: Homayoun Yousefi'zadeh, Xuemai GuAbstract:In this paper, an optimal link selection and data Rate assignment algorithm for spatial time division multiple access (STDMA) medium access control (MAC) protocols is exploited. The motivation for this study is jointly searching for optimal links and corresponding Rates in simultaneous transmission environments in order to maximize the throughput capacity in each time slot. A mathematical formulation for exploring such links and Rates Combination under power and delay constrains is developed. Then, we transform this formulation into a standard knapsack problem (KP). Finally, we solve this KP using discrete dynamic programming (DDP) and propose a joint optimal link and Rate search (JOLRS) algorithm which can be generically embedded with any existing STDMA MAC protocol. Through theoretical and experimental studies, we show that our JOLRS algorithm significantly outperforms baseline alternatives and similar existing algorithms in throughput, power consumption, and PER performance.
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WCNC - An optimal link and Rate Combination search algorithm for STDMA MAC protocols
2016 IEEE Wireless Communications and Networking Conference, 2016Co-Authors: Homayoun Yousefi'zadeh, Xuemai GuAbstract:In this paper, an optimal link selection and data Rate assignment algorithm for spatial time division multiple access (STDMA) medium access control (MAC) protocols is exploited. The motivation for this study is jointly searching for optimal links and corresponding Rates in simultaneous transmission environments in order to maximize the throughput capacity in each time slot. A mathematical formulation for exploring such links and Rates Combination under power and delay constrains is developed. Then, we transform this formulation into a standard knapsack problem (KP). Finally, we solve this KP using discrete dynamic programming (DDP) and propose a joint optimal link and Rate search (JOLRS) algorithm which can be generically embedded with any existing STDMA MAC protocol. Through theoretical and experimental studies, we show that our JOLRS algorithm significantly outperforms baseline alternatives and similar existing algorithms in throughput, power consumption, and PER performance.
Indradev Samajdar - One of the best experts on this subject based on the ideXlab platform.
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ICAA13: 13th International Conference on Aluminum Alloys - Changes in Microstructure during High Strain Rate Superplastic Deformation of an Al-Zn-Mg-Cu-Zr Alloy Containing Sc
ICAA13 Pittsburgh, 2012Co-Authors: Amretendu Mukhopadhyay, Anil Kumar, S. Raveendra, Kartik Prasad, Indradev SamajdarAbstract:The changes in microstructure with respect to the variation in morphology of Al3ScxZr1-x dispersoids and evolution of recrystallized grains during superplastic deformation (SPD) (at a temperature and strain Rate Combination of 475°C, 1.9×10−2s−1) of a suitably thermo-mechanically processed (TMP) Al alloy 7010 containing Sc have been examined. It is observed that the morphology of Al3ScxZr1-x dispersoids present in the homogenized condition continually changes during subsequent TMP through different stages of SPD process. The number density of the dispersoids is minimal in the TMP condition, whilst the number density of the dispersoids significantly increases with strain during the subsequent SPD process. A simultaneous change in the microstructure during SPD is the gradual increase in the percentage recrystallization with strain. Recrystallization occurred by continuous recrystallization process except at the very early stages of SPD wherein the maximum ODF (orientation distribution functions) intensity (MOI) showed a significant increase coincident with the presence of a reduced number density of the dispersoids in the microstructure.
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Key Microstructural Changes during High Strain Rate Superplastic Deformaion of an Al-Zn-Mg-Cu-Zr Alloy Containing Sc
Materials Science Forum, 2011Co-Authors: Amretendu Mukhopadhyay, Anil Kumar, K.s. Prasad, S. Raveendra, Indradev SamajdarAbstract:The changes in texture and microstructure that occur during superplastic deformation (SPD) of a suitably thermo-mechanically processed (TMP) Al alloy AA7010 containing Sc at a temperature and strain Rate Combination of 475°C, 1.9x10-2s-1 have been examined. It is observed that during the early stages of SPD, there is a significant increase in the Brass {110} component as well as a considerable increase in the S {123} component. Whilst, these components gradually decrease leading to the randomization of texture as the SPD process progresses to larger strains. These results are discussed in terms of the nature of the TMP together with significant variations in the number density of Al3ScxZr1-x dispersoids and percentage recrystallization with strain.
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Development of grain structure during superplastic deformation of an Al–Zn–Mg–Cu–Zr alloy containing Sc
Scripta Materialia, 2011Co-Authors: Amretendu Mukhopadhyay, Anil Kumar, S. Raveendra, Indradev SamajdarAbstract:Recent studies have shown that a suitably thermomechanically processed Al–Zn–Mg–Cu–Zr–Sc alloy having an essentially unrecrystallized grain structure may be subjected to superplastic deformation at a temperature and strain Rate Combination of 475 °C, 1.9 × 10 −2 s −1 to obtain a total elongation of 650%. The present work demonstRates that the utilization of two-step strain Rate at 425 °C during superplastic deformation of a similarly thermomechanically processed alloy increases the total elongation value to as high as 916%. The beneficial effect of two-step strain Rate could further be realized at 350 °C to obtain a total elongation of 438%. Using electron backscattered diffraction, the present work provides a systematic assessment of the changes in (i) percentage recrystallization and (ii) recrystallized grain size with percentage elongation in the material superplastically deformed using both one- and two-step strain Rates.
Katerina Pandremmenou - One of the best experts on this subject based on the ideXlab platform.
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optimal power allocation and joint source channel coding for wireless ds cdma visual sensor networks using the nash bargaining solution
International Conference on Acoustics Speech and Signal Processing, 2011Co-Authors: Katerina Pandremmenou, Lisimachos P Kondi, K E ParsopoulosAbstract:We consider the problem of resource allocation for a Direct Sequence Code Division Multiple Access (DS-CDMA) wireless visual sensor network (VSN).We use the Nash Bargaining Solution (NBS) from game theory in order to determine the transmission power and source and channel coding Rate for each node. The NBS assumes that the nodes negotiate (using the help of a centralized control unit) in order to jointly determine their transmission parameters. The transmission powers are allowed to take continuous values, whereas the source and channel coding Rate Combination can only assume discrete values. Thus, the resulting optimization problem is a mixed-integer optimization task and is solved using Particle Swarm Optimization (PSO). Experimental results are provided and conclusions are drawn.
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ICASSP - Optimal power allocation and joint source-channel coding for wireless DS-CDMA visual sensor networks using the Nash Bargaining Solution
2011 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2011Co-Authors: Katerina Pandremmenou, Lisimachos P Kondi, K E ParsopoulosAbstract:We consider the problem of resource allocation for a Direct Sequence Code Division Multiple Access (DS-CDMA) wireless visual sensor network (VSN).We use the Nash Bargaining Solution (NBS) from game theory in order to determine the transmission power and source and channel coding Rate for each node. The NBS assumes that the nodes negotiate (using the help of a centralized control unit) in order to jointly determine their transmission parameters. The transmission powers are allowed to take continuous values, whereas the source and channel coding Rate Combination can only assume discrete values. Thus, the resulting optimization problem is a mixed-integer optimization task and is solved using Particle Swarm Optimization (PSO). Experimental results are provided and conclusions are drawn.
