An Algorithm to Select the Optimal Program Based on Rough Sets and Fuzzy Soft Sets by Liu Wenjun, Li Qingguo

“…Combining rough sets and fuzzy soft sets, we propose an algorithm to obtain the optimal decision program. In this algorithm, firstly, according to fuzzy soft sets, we build up information systems; secondly, we compute the significance of each parameter according to rough set theory; thirdly, combining subjective bias, we give an algorithm to obtain the comprehensive weight of each parameter; at last, we put forward a method to choose the optimal program. …”
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Reverberation multi-source localization algorithm based on compressed sensing with dual microphones by Yi ZHANG, Juan LI, Min ZHANG

“…In traditional multi-source localization field,it is necessary to guarantee that the number of microphone is more than the number of source.To overcome this constraint,a dual-microphone multi-source localization algorithm based on CS was proposed,where the number of sound source localized successfully was more than 3.The multi-source localization was regarded as the block sparse signal reconstruction in this algorithm,and the full room impulse responses normalized were exploited to construct the compressed observation matrix in frequency domain.In reconstructed block sparse signal,the positions of non-zero blocks were corresponded to the positions of sound sources in space.The simulation shows that compared with the SRP-sub algorithm,in reverberation time 0.6s with dual-microphone,the proposed multi-source localization algorithm based on compressed sensing has higher capability which can reach 80% success rate by using 40 frequency points to localize 3 sound sources.…”
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A Real-Valued Negative Selection Algorithm Based on Grid for Anomaly Detection by Ruirui Zhang, Tao Li, Xin Xiao

“…Negative selection algorithm is one of the main algorithms of artificial immune systems. …”
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A New DG Multiobjective Optimization Method Based on an Improved Evolutionary Algorithm by Wanxing Sheng, Ke-yan Liu, Yongmei Liu, Xiaoli Meng, Xiaohui Song

“…A revised IEEE 33-bus system with multiple DG units was used to test the multiobjective optimization algorithm in a distribution power system. The proposed algorithm was implemented and compared with the strength Pareto evolutionary algorithm 2 (SPEA2), a particle swarm optimization (PSO) algorithm, and nondominated sorting genetic algorithm II (NGSA-II). …”
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Coverage control algorithm for wireless sensor networks based on non-cooperative game by Haoran LIU, Heyao ZHAO, Yujing DENG, Xingqi WANG, Rongrong YIN

“…For the redundancy coverage of nodes leads to the phenomenon of low energy efficiency,Non-cooperative game theory was used to solve it.A revenue function was proposed,which considering the coverage of nodes and the residual energy.The lifetime of the node and network path gain were applied to revenue function.The network topology was built by nodes with the appropriate work strategy.Control algorithm coverage in wireless sensor network was proposed based on Non-cooperative game theory.A Nash equilibrium between the coverage rate and the residual energy was proved,and the return function converged to the Pareto optimal.Experiments show that the algorithm can provide reasonable coverage of network nodes and ensure energy efficiency.…”
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Algorithm of development for system operation monitoring of water-soluble bases in hydraulic structures by K. P. Latyshenko, T. N. Nurmagomedov

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Polynomial time algorithm for solving k-coverage problem in wireless sensor networks by Qi WANG, Zheng’an XIAO, Huaixing WANG

“…How to solve the k-coverage problem,which was divided into worst-case and best-case,inside the two-dimensional target area in wireless sensor networks was explored,and a polynomial time algorithm for solving this problem was put forward.In this algorithm,a series of definitions and theorems were proposed based on the geometric graph of growing disks,and the k-coverage problem was transformed into one of finding a series of adjacent borders.The simulation results show that the algorithm could compute the optimal k-breach path and k-support path in polynomial time,so as to avoid or select the network coverage reasonably.…”
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HRDA-Net: image multiple manipulation detection and location algorithm in real scene by Ye ZHU, Yilin YU, Yingchun GUO

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Bit arbitration query tree anti-collision algorithm based on grouping mechanism by Yu FU, hong QIANZhi, Chao CHENG, hui LIUXiao

“…A bit arbitration query tree anti-collision algorithm based on grouping mechanism was proposed. …”
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Energy and Wake effects Optimization of Offshore Wind Farm using PSO algorithm by Ouhdan Mahmoud, Ait Madi Abdessalam, Hassoine Mohammed Amine

“…To accomplish the twin goals of reducing wake impacts and maximizing energy production, this research tackles a novel method to investigate trade-offs between competing goals using multi-objective optimization algorithms. We introduce this problem with a sophisticated wake named the Bastankhah-Porté-Agel (BPA) model. …”
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Advanced Real-Time Indoor Tracking Based on the Viterbi Algorithm and Semantic Data by Jens Trogh, David Plets, Luc Martens, Wout Joseph

“…A real-time indoor tracking system based on the Viterbi algorithm is developed. This Viterbi principle is used in combination with semantic data to improve the accuracy, that is, the environment of the object that is being tracked and a motion model. …”
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An Improved ARIMA-Based Traffic Anomaly Detection Algorithm for Wireless Sensor Networks by Qin Yu, Lyu Jibin, Lirui Jiang

“…Simulation results and comparative analyses demonstrate that our proposed WSN traffic anomaly detection scheme has better anomaly detection accuracy than traditional traffic anomaly detection algorithms.…”
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Multi-robot Collaborative Planning based on Optimized Artificial Bee Colony Algorithm by Zhang Lin, Zhan Weipeng, Zhu Lingfen, Wu Guoxing

Subjects: “…Optimized artificial bee colony algorithm…”
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A Fast Algorithm for Electromagnetic Scattering from One-Dimensional Rough Surface by Jing Jing Wang, An Qi Wang, Zhi Xiang Huang, Tie Zhen Jiang

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Accounting Data Quality Evaluation Method Based on Improved Particle Swarm Algorithm by Mengying Sun

“…In order to improve the effect of accounting quantity and quality evaluation, this article improves the particle swarm optimization algorithm. It improves the particle swarm optimization algorithm from the three aspects—extreme value selection, particle diversity, and inertia weight, and establishes an optimization algorithm suitable for solving the accounting data audit optimization problem. …”
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Optimization of the Naive Bayes Algorithm with SMOTETomek Combination for Imbalance Class Fraud Detection by Arief Tri Arsanto, Arif Faizin, Moch lutfi, Zulfatun Nikmatus Saadah

“…Meanwhile, from the problems above, the results of the performance of Naïve Bayes, which experienced issues with data imbalance in this study, a resampling method was proposed in the hope of improving the performance of the Naïve Bayes algorithm and in the results of the AUC ROC curve, the SMOTETomek method could improve the performance of the Naïve Bayes algorithm. …”
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Emotion Monitoring for Preschool Children Based on Face Recognition and Emotion Recognition Algorithms by Guiping Yu

“…In this paper, we study the face recognition and emotion recognition algorithms to monitor the emotions of preschool children. …”
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Application of the ABC Algorithm in Parameter Estimation and Kinetic Model Selection in Propionic Fermentation by Waldecleia Queiroz Da Costa, Miguel Fernando Saraiva Maia, Nilton Pereira Da Silva, Deibson Silva Da Costa, Emerson Cardoso Rodrigues, Diego Cardoso Estumano

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Energy efficient optimal sink position selection algorithm for wireless sensor networks by TANG Wei, GUO Wei

“…The selection of sink position and the routing optimization for energy efficiency were combined,and the shortest path tree（SPT） tessellation was defined.The structure of the SPT tessellation cells in 2-dimension space was analyzed,and a method to search neighboring cells was presented.Three heuristic algorithms were also designed.Simu-lation experiments are conducted to analyze and compare the performance of the proposed algorithms,and the results show that the performance of the algorithms is close to or able to converge to the global optimality.…”
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Segmentation-based on-demand scalable address assignment algorithm in ZigBee networks by Zhi REN, Peng-xiang LI, Yu-kun YAO, Yong HUANG

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