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Year: 2019, Volume: 19, Number: 2
... their modeling for noise susceptibility prediction in communication dynamic power consumption is significantly decreased. networks," IEEE Trans. Electromagn. Compat., vol. 57, ... is accompanied by I/Os. Cdpi are resistance and capacitance of the coupling network, ï‚· The static and dynamic power consumption of I/O which is ...
182. Automatic Detection and Bypassing of Anti-Debugging Techniques for Microsoft Windows Environments
Year: 2019, Volume: 19, Number: 2
... extremely difficult to analyze and has not been Systems and Networks (DSN 2008), pp. 177-186, ... the OEP on ACProtect, VMProtect, Safengine and The Network and Distributed System Security Symposium (NDSS Obsidium. ... Anti-debugging Functions," in Proc. of Computing and Networking [1] W. Yan, Z. ...
Year: 2019, Volume: 19, Number: 2
... . Srivani, "Enhanced real time with rotating handheld devices," Wirel. Networks, vol. 24, no. 1, pp. coordination of distance ... parallel heuristic reduction based frequency search space is compliant with valid fundamental approach for distribution network fault diagnosis," Int. J. Electr. Power Energy Syst. ...
184. A Method Based on Lorenz Disturbance and Variational Mode Decomposition for Wind Speed Prediction
Year: 2019, Volume: 19, Number: 2
... , prediction in recent years. The methods are roughly divided combined with four neural networks, this paper develops a into three types: the physical method, the ... Simulation results show that: 1) As for wind speed prediction, Elman neural network has higher prediction accuracy and information such as terrain, air pressure and temperature ...
185. Adaptive Quality Control Scheme Based on VBR Characteristics to Improve QoE of UHD Streaming Service
Year: 2019, Volume: 19, Number: 1
... kw.ac.kr 1 Abstract — Recently, with the development of networks and using the Transmission Control Protocol (TCP) ... because it adaptively selects the video quality according to the network state. However, the Commercialized services include Microsoft's ... control schemes have been proposed According to the Cisco Visual Networking Index, the to adjust the video quality according ...
Year: 2019, Volume: 19, Number: 1
... and Electronics Engineering, Erciyes University, 38039, Turkey iesacu@erciyes.edu.tr 1 Abstract — In this paper, low-voltage active elements based a on emulating sβ via R-C networks. This way is preferred in general filter topology, which provides fractional order low- the design of a lot of VM fractional order filters where pass, ...
Year: 2019, Volume: 19, Number: 1
... caused by two factors as follows. The voltage and current coming from fuzzy logic, linear regression and neural sampling frequency is the same as that of the reference network based methods [18] that best track the MPP. An voltage updating procedure. Secondly, the use of a fixed advantage is the possibility to reach ...
Year: 2019, Volume: 19, Number: 1
... to the JAFFE database which led to a recognition rate of 83.66%, then later proposed an abstract extraction of facial features from LBP features through a Deep Belief Networks (DBNs) followed by the classification with the Softmax classifier. Though their proposition increased the recognition rate by about 4%, the use of the DBNs ...
189. Efficient Shape Classification using Zernike Moments and Geometrical Features on MPEG-7 Dataset
Year: 2019, Volume: 19, Number: 1
... Zernike Moments and geometrical signature feature," in Research in Computational Intelligence and Communication Networks, 2017 IEEE Third International Conference features. The paper addresses the problem of ... classification using probabilistic pp. 59-69, 2016. doi:10.1016/j.cviu.2015.11.011 neural network," in Signal Processing and Information Technology, [12] S. ...
Year: 2019, Volume: 19, Number: 1
... Activity frame on IOS devices gyroscope, and hydrocarbon 97% [19] magnetometer networks (AHN) placed in the right front pockets of people for the specified ... . ELM is a model of an computerized vision-based approach generally works well artificial neural network (ANN) with input hidden weights under laboratory conditions; but it can ...
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