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Titlebook: Big Data Computing and Communications; First International Yu Wang,Hui Xiong,JianZhong Li Conference proceedings 2015 Springer Internation

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期刊全称Big Data Computing and Communications
期刊简称First International
影响因子2023Yu Wang,Hui Xiong,JianZhong Li
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Big Data Computing and Communications; First International  Yu Wang,Hui Xiong,JianZhong Li Conference proceedings 2015 Springer Internation
影响因子This book constitutes the proceedings of the First International Conference on Big Data Computing and Communications, BigCom 2015, held in Taiyuan, China, in August 2015. The 41 papers presented in this volume were carefully reviewed and selected from 74 submissions. They were organized in topical sections named: wireless communication and networks; database and big data; smart phone and sensing application; security and privacy; architecture and applications; sensor networks and RFID; social networks and recommendation; signal processing and pattern recognition; and routing and resource management.
Pindex Conference proceedings 2015
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Autopilots and Flight Management Systems,c signals to emulate a virtual antenna array. In this case, we leverage smoothed MUSIC (Multiple Signal Classification) algorithm to estimate the DOA (direction of arrival) of the target signals. We design and deploy our system under various circumstances in an underground parking lot. By getting ri
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Dynamic Sparse Channel Estimation Using ,-constrained Kalman Filter in OFDM Systemss which are used to approximate to the discontinuous .-norm. Therefore, DSCE is performed by employing KF in a stand alone manner. Numerical evaluations are presented to demonstrate the effectiveness of the proposed algorithm in practice.
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FOAM: Frequency-Offset Aware Multiple Client Selection for Cooperative Packet Recovery Systemet recovery among clients. We show the performance of PDR and SINR in various carrier frequency offset levels. Our conclusion is, when multiple clients’ transmissions are involved for cooperative packet recovery, the frequency offset should be fully considered to enhance the network performance. Suc
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Gender Prediction Based on Data Streams of Smartphone Applications In the experiments, the dataset is real world data collected from 25 volunteers. The prediction results can achieve 86.50% in Accuracy and 86.43% in F1-score, respectively. To the best of our knowledge, this is the first time that the gender information was predicted by leveraging users’ response t
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