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Titlebook: Information Science and Applications 2017; ICISA 2017 Kuinam Kim,Nikolai Joukov Conference proceedings 2017 Springer Nature Singapore Pte L

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发表于 2025-3-28 17:56:44 | 显示全部楼层
Implementing a Stereo Image Processing for Medical 3D Microscopes with Wireless HMDhis paper, we suggested the method to correct the geometric and color distortion of the stereo camera image and real time implementation of these methods using GPU. We used a wireless HMD for ease of use by doctors. This system would be helpful for doctors to operate more comfortably.
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1876-1100 ations (ICISA 2017) and provides a snapshot of the latest issues encountered in technical convergence and convergences of security technology. It explores how information science is core to most current research, industrial and commercial activities and consists of contributions covering topics incl
发表于 2025-3-29 02:42:04 | 显示全部楼层
Conference proceedings 2017 of the latest issues encountered in technical convergence and convergences of security technology. It explores how information science is core to most current research, industrial and commercial activities and consists of contributions covering topics including Ubiquitous Computing, Networks and In
发表于 2025-3-29 06:32:44 | 显示全部楼层
Improving Performance and Energy Efficiency for OFDMA Systems Using Adaptive Antennas and CoMPa patterns is performed by a Genetic Algorithm to satisfy an objective function that considers throughput, number of UEs handled as well as power in the transmission. It is shown that the dominant effect is using the semi-smart antennas and that the results are not sensitive to small amounts of movement.
发表于 2025-3-29 08:01:47 | 显示全部楼层
A Study on OPNET State Machine Model Based IoT Network Layer Testr nodes. To solve these testing constraints, this paper proposes an efficient State Machine based test case generation for IoT network layer by using OPNET simulation model and test case generation tool. The size of test suite is compared according to the size of State Machine model from OPNET.
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A Novel Mobile Online Vehicle Status Awareness Method Using Smartphone Sensorsusing Artificial Neural Network (ANN) algorithm aim to improved accuracy prediction vehicle status results before. Training data sets, which are collected and the dynamic feedback also helping improved accuracy of system. A number of experiments are shown that the high accuracy of MOVSAS with vehicle kinds as bicycle, motorbike and car.
发表于 2025-3-29 21:16:00 | 显示全部楼层
An Efficient and Low-Signaling Opportunistic Routing for Underwater Acoustic Sensor Networks in an efficient and low-signaling method. The contribution of DUOR is twofold: (1) minimizing signaling costs; (2) solving “void area” and “the extremely long forwarding path”. Simulation results show that the proposed DUOR outperforms the existing Depth Based Routing (DBR).
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