Active defense technology against intelligent jammer by Zhibin FENG, Yuhua XU, Zhiyong DU, Xin LIU, Wen LI, Hao HAN, Xiaobo ZHANG

“…In the complex electromagnetic countermeasure environment, the intelligent development of jammer has caused a serious threat to wireless communication, while the traditional anti-jamming methods often passively adjusted the working mode or parameters, which will be at a disadvantage or even suppressed in the face of intelligent jammer.To solve this problem, a technical framework of active defense against jammer was proposed, aiming to disrupt the learning process of the intelligent jammer and reduce the jamming efficacy.In order to gradually achieve the goals of “understanding opponent”“controlling opponent” and “defeating opponent”, under the guidance of game theory and adversarial machine learning, the key technologies were discussed from three aspects: backward reasoning of jammer, algorithm vulnerability analysis and confrontational strategy design, independent optimization and online decision-making of anti-jamming strategy.Finally, combined with two specific cases, the feasibility and effectiveness of the proposed technical framework were verified.…”
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A Rendezvous Scheme for Self-Organizing Cognitive Radio Sensor Networks by Junhyung Kim, Gisu Park, Kijun Han

“…In this paper, we propose a hopping sequence algorithm to provide an effective method to implement a rendezvous without relying on a dedicated control channel. …”
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ROBUST OPTIMIZATION DESIGN OF SUSPENSION BASED ON 6σ by FENG JinZhi, YANG ZhiFeng, YANG ZhenYi, LIN Yang, ZHENG SongLin

“…Based on the same constraints, the sequence quadratic optimization algorithm is used to deterministic optimize of the suspension and the robustness design of it. …”
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Adaptive Hierarchical Collocation Method for Solving Fractional Population Diffusion Model by Linqiang Yang, Yafei Liu, Hongmei Ma, Xue Liu, Shuli Mei

“…This paper presents an adaptive hierarchical collocation method for solving this model, enhancing the efficiency of algorithms based on Low-Complexity Shannon-Cosine wavelet derived from combinatorial identity theory. …”
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Optimization of Sound Transmission Loss through a Thin Functionally Graded Material Cylindrical Shell by Ali Nouri, Sohrab Astaraki

“…The maximizing of sound transmission loss (TL) across a functionally graded material (FGM) cylindrical shell has been conducted using a genetic algorithm (GA). To prevent the softening effect from occurring due to optimization, the objective function is modified based on the first resonant frequency. …”
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Robust Adaptive Reactive Power Control for Doubly Fed Induction Generator by Huabin Wen, Yu Zeng, Lei Wang, Feng Yang, Y. D. Song

“…To accommodate the modelling nonlinearities and inherent uncertainties, a novel robust adaptive control algorithm for MSI is proposed by utilizing Lyapunov theory that ensures asymptotic stability of the system under unpredictable external disturbances and significant parametric uncertainties. …”
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A Metro Freight Plan for Mixed Passenger and Freight Transportation by Yutao Ye, Junhua Guo, Lixin Yan

“…Finally, through actual case studies, an improved variable neighborhood search algorithm (VNS) was used to verify the effectiveness of the model, and the sensitivity of different train capacities, train headway, and cargo operation cost to the cost of metro freight was also discussed. …”
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A New Implementable Prediction-Correction Method for Monotone Variational Inequalities with Separable Structure by Feng Ma, Mingfang Ni, Zhanke Yu

“…At each iteration, the algorithm also allows the involved subvariational inequalities to be solved in parallel. …”
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Design and Dynamics Performance Simulation Analysis of a New Series Elastic Actuator by Wang Caidong, Wang Yichen, Zhu Jianxin, Hu Yakai, Liu Xiaoli, Dong Xiangsheng, Wang Xinjie

“…The control law for the flexible joint is derived by the backstepping algorithm. To validate the effectiveness of the proposed SEA and the control law, the dynamic performance of the flexible joint with interference torques is simulated by Matlab and Adams. …”
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Inter-carrier interference cancellation using spatial characteristics for high-mobility OFDM communication systems by Wei WANG, Qin-ye YIN, Peng-cheng MU

“…High-mobility orthogonal frequency division multiplexing(OFDM)systems suffered severe inter-carrier interference(ICI)from Doppler spreading.On the basis of the characteristics of wireless propagation in practical scenarios,a method which employed the WINNER Ⅱ channel model to represent the practical wireless channel and an antenna array as the receiver to eliminate ICI in space-domain was proposed.The direction of arrival estimation algorithm and the beamforming network were used to separate the received signals in space-domain.Multi-beam diversity gain was obtained finally by means of combining the signals which have been compensated for Doppler frequency shifts(DFS)respectively.Simulation results demonstrate that the proposed method not only effectively reduces ICI and the error floors,but also obtains a 5～7 dB signal-to-interference gain over systems without use of the proposed method.…”
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An optimization model for network design in disaster relief planning by Kevin Palomino, Carmen Berdugo-Correa, David García-Barrios

“…A solution involving the use of branch-and-cut algorithm with the help of GeoJSON API and Python code was proposed. …”
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Insights into the Prevalence of Software Project Defects by Javier Alfonso-Cendón, Manuel Castejón Limas, Joaquín B. Ordieres Meré, Juan Pavón

“…This analysis has been complemented with the use of a hierarchical clustering algorithm with a dissimilarity based on the likelihood ratio statistic, for exploratory purposes. …”
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Cooperative sensing method considering malicious nodes in cognitive radio networks by Xiao-gang QI, Sheng-yu ZHENG, Li-fang LIU, Hui-fang WANG

“…Based on a more practical cognitive radio network with malicious users,the spectrum sharing network model based on the cooperative spectrum sensing was studied that the secondary user can dynamically adjust its transmit power based on cooperative sensing results.To avoid significant reduction in performance of spectrum sensing system caused by malicious nodes,it is aimed to study how to improve the performance of cooperative sensing.By introducing the convex optimization problem,the secondary network throughput is maximized under the certain detection probability conditions and the corresponding power constraints.Simulation results show that whether or not there are malicious nodes,the algorithm is efficient in calculating optimal sensing time and the optimal transmit powers,and the secondary network throughput is increased when the maximum interference power limits and the maximum transmit power restrictions are decreased.…”
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Performance analysis of dual-media cooperative communication based on wireless and power line under hybrid fading by Zhixiong Chen, Yifang Jing, Dongsheng Han, Lijiao Wang

“…Effectiveness and reliability of the algorithm and theoretical formula were verified through simulation, and influence rules of hybrid channel fading and power distribution on the system performance were analyzed.…”
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A survey of neural architecture search by Mingjie HE, Jie ZHANG, Shiguang SHAN

“…Recently,deep learning has achieved impressive success on various computer vision tasks.The neural architecture is usually a key factor which directly determines the performance of the deep learning algorithm.The automated neural architecture search methods have attracted more and more attentions in recent years.The neural architecture search is the automated process of seeking the optimal neural architecture for specific tasks.Currently,the neural architecture search methods have shown great potential in exploring high-performance and high-efficiency neural architectures.In this paper,a survey in this research field and categorize existing methods based on their performance estimation methods,search spaces and architecture search strategies were presented.Specifically,there were four performance estimation methods for computation cost reduction,two typical neural architecture search spaces and two types of search strategies based on discrete and continuous spaces respectively.Neural architecture search methods based on continuous space are becoming the trend of researches on neural architecture search.…”
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A Gain-Scheduling PI Control Based on Neural Networks by Stefania Tronci, Roberto Baratti

“…As a result, a PI controller action is obtained, where the gain depends on the state of the system and is adapted instantaneously on-line. The algorithm is tested on a nonisothermal continuous stirred tank reactor (CSTR), considering both single-input single-output (SISO) and multi-input multi-output (MIMO) control problems. …”
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Gearbox Fault Diagnosis based on LMD Approximate Entropy and PSO-ELM by Zhang Yuxue, Pan Hongxia

“…Finally,the input weights of ELM and the threshold value of the hidden layer neurons are optimized by the particle swarm optimization algorithm,the model of PSO-ELM is established,and the approximate entropy values are input into the ELM and PSO-ELM models to recognize and classify the fault types of the gearbox of different conditions. …”
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Optimization and Rule Analysis of Drawdown Level before Flood Season of Longtan Hydropower Station by LIU Yongqi, HOU Guibing, GAO Weishan, LI Yuanyuan, WANG Baohua, LI Peng

“…Longtan Hydropower Station is the controlled reservoir of the Hongshui River.It is of significance for flood control,water supply,and power safety to study the optimal drawdown level before flood seasons in this station.Based on analyzing the drawdown level and operation requirements of Longtan Hydropower Station,this paper develops an operation model for the optimal drawdown of the station and solves the model efficiently by the evolutionary algorithm.Then,the optimization rule of the drawdown level in Longtan Hydropower Station is analyzed in depth and derived based on the multi-year optimal operation scheme set.The results show that the multi-year average power generation efficiency of cascade reservoirs can be significantly improved by optimizing the drawdown level process before flood seasons in Longtan Hydropower Station.Additionally,the derived operation rule can provide technical support for actual operations.…”
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Photovoltaic Power System with an Interleaving Boost Converter for Battery Charger Applications by Sheng-Yu Tseng, Cheng-Tao Tsai

“…In order to draw the maximum power from PV arrays and obtain the optimal power control of the battery charger, a perturbation-and-observation method and microchip are incorporated to implement maximum power point tracking (MPPT) algorithm and power management. Finally, a prototype battery charger is built and implemented. …”
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Utility-driven based co-allocation resource reservation strategy in computational grid by Chang-song DING, Zhi-ying WANG, Zhi-gang HU

“…The validity of the model and its algorithm were presented theoreti-cally. The performance of the proposed strategy was simulated in a grid simulation system using the real task load of the practical grid system. …”
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