Dynamic Coverage Based on Neural Gas Learning Algorithm for Wireless Sensor Network by Yanjing Sun, Jiansheng Qian, Li Li

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Numerical Algorithm Based on Haar-Sinc Collocation Method for Solving the Hyperbolic PDEs by A. Pirkhedri, H. H. S. Javadi, H. R. Navidi

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Research on dynamic alliance of task allocation and its algorithm in wireless sensor network by CHEN Guo-long, GUO Wen-zhong, CHEN Yu-zhong

“…In order to prolong the lifetime,reduce the energy consumption,and balance the network load effectively,a dynamic alliance model and its corresponding algorithm of task allocation in wireless sensor network（WSN） were proposed.This method described a cost function according to the execution time,energy consumption and load balance.Particle swarm optimization was used to optimize task allocation.Meanwhile,a mutation operator that could effectively improve the algorithm’s ability on global search and maintained population diversity was also introduced.Simulation results show that the proposed algorithm provides a good balance of local solutions and global exploration,which results in a great decrease of execution time and a steady balance of network load.…”
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MgdFlow: multi-granularity data flow management algorithm in microgrid scenario by Youbo JING, Qingyue CAO, Rui ZHU

“…Aiming at the problem of frequent entry space occupation and resource scheduling caused by passive response insertion of flow entries by software defined network (SDN) devices, a operational function-based multi-granularity data flow management algorithm (MgdFlow) was proposed.Through delayed sorting and multiple aggregation and splitting, the number of flow entry insertions and scheduling instructions were reduced.Experimental data shows that the load balancing performance is 18% higher than the adaptive two-stage flow, and the average entry occupation is 9% lower than the traditional OpenFlow scheme.There are also 24% and 12% improvements in the defined controller scheduling resource ratio ImproveQoS compared to other schemes.…”
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Iterative Algorithms for Variational Inequalities Governed by Boundedly Lipschitzian and Strongly Monotone Operators by Caiping Yang, Songnian He

“…In this paper, relaxed and self-adaptive iterative algorithms are proposed for computing this unique solution. …”
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On Quantum Methods for Machine Learning Problems Part II: Quantum Classification Algorithms by Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu

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CFD algorithm for moving boundary problems of isothermal drying and shrinkage: Case of prunes by Lentzou Diamanto, Templalexis Charalampos, Boudouvis Andreas G., Karathanos Vaios, Xanthopoulos Georgios

“…Water diffusivity and peel resistance were estimated using the Levenberg-Marquardt (L-M) optimisation algorithm based on the experimental drying data. The surface resistance is accounted as the sum of the peel and the diffusive boundary layer resistances, the latter being negligible compared to the former. …”
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The optimal route search in Bengaluru city transport using Hamilton circuit algorithm by Parkavi S, Parthiban A

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A Satellite Observation Data Transmission Scheduling Algorithm Oriented to Data Topics by Hao Chen, Baorong Zhai, Jiangjiang Wu, Chun Du, Jun Li

“…In order to further enhance the performance and speed up the convergence process of our algorithm, a domain-knowledge-based mutation operator is designed. …”
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Image Reconstruction Algorithm Based on Tree Sparsity Model for Visual Sensor Network by Min Hu, Xuwei Huang, Dan Long, Cailiang Shen

“…A tree sparsity mode1 based image compressed sensing（CS）algorithm was proposed to efficiently explore the correlation in visua1 sensor networks（VSN）data. …”
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Improved YOLOv5s Algorithm for Small Target Detection in UAV Aerial Photography by Shixin Li, Chen Liu, Kaiwen Tang, Fanrun Meng, Zhiren Zhu, Liming Zhou, Fankai Chen

“…Applying existing object detection algorithms to such images is often inaccurate and prone to misdetection and omission. …”
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Research on 2D/3D multimodal medical image registration algorithm by XU Mi, ZHUGE Bin, YUAN Feiniu, YIN Zhenghu, DONG Ligang, JIANG Xian, SUN Yingqi, SONG Jiaqi, SHI Xiaotong, SU Lei, ZHOU Yibo, LIN Shifan

“…A 2D/3D multimodal medical image alignment algorithm was proposed, which firstly utilized the excellent feature extraction capability of Swin Transformer to construct an initial pose estimation model to realize the fast prediction of pose parameters. …”
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Investigations of MWISP Filaments. I. Filament Identification and Analysis Algorithms, and Source Catalog by Yu Jiang, Xuepeng Chen, Sheng Zheng, Zhibo Jiang, Zhiwei Chen, Yao Huang, Yang Su, Li Sun, Jian-Cheng Feng, Haoran Feng, Ji Yang

“…To facilitate the identification and analysis of filaments, we introduce Directional and Positional Consistency between Clumps and Filaments (DPConCFil), a suite of algorithms comprising one identification method and two analysis methods. …”
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K-nearest neighbor algorithm for imputing missing longitudinal prenatal alcohol data by Ayesha Sania, Ayesha Sania, Nicolò Pini, Nicolò Pini, Morgan E. Nelson, Michael M. Myers, Michael M. Myers, Lauren C. Shuffrey, Maristella Lucchini, Maristella Lucchini, Amy J. Elliott, Amy J. Elliott, Hein J. Odendaal, William P. Fifer, William P. Fifer

“…AimsThe objective of this study is to illustrate the application of a machine learning algorithm, K Nearest Neighbor (k-NN) to impute missing alcohol data in a prospective study among pregnant women.MethodsWe used data from the Safe Passage study (n = 11,083). …”
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Auto forensic detecting algorithms of malicious code fragment based on TensorFlow by Binglong LI, Jinlong TONG, Yu ZHANG, Yifeng SUN, Qingxian WANG, Chaowen CHANG

“…In order to auto detect the underlying malicious code fragments in complex，heterogeneous and massive evidence data about digital forensic investigation, a framework for malicious code fragment detecting algorithm based on TensorFlow was proposed by analyzing TensorFlow model and its characteristics.Back-propagation training algorithm was designed through the training progress of deep learning.The underlying binary feature pre-processing algorithm of malicious code fragment was discussed and proposed to address the problem about different devices and heterogeneous evidence sources from storage media and such as AFF forensic containers.An algorithm which used to generate data set about code fragments was designed and implemented.The experimental results show that the comprehensive evaluation index F₁of the method can reach 0.922, and compared with CloudStrike, Comodo, FireEye antivirus engines, the algorithm has obvious advantage in dealing with the underlying code fragment data from heterogeneous storage media.…”
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Lightweight face image restoration algorithm based on multi-scale feature fusion by ZHAO Xiao, ZHAO Ziyi, YANG Chen

“…Finally, a positional attention module was introduced to enhance the salient information of the face image, and improve the model’s effective extraction ability of facial positional pixel information of the model. The algorithm was trained, validated and tested on the occluded face dataset MFD generated based on the CK+ dataset, and the PSNR of the repaired image reached 30.49 dB and SSIM reached 96.85%. …”
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Energy-saving algorithm considering idle light-path prediction in SDM-EON by Yu XIONG, Jinyou HE, Baohua WANG, Bin ZHOU

“…To effectively reduce the energy consumption,blocking rate and crosstalk between adjacent cores in a multi-core fiber for space division multiplexing elastic optical network (SDM-EON),an energy-saving algorithm considering idle light-path prediction was proposed.The extreme learning machine model was used to predict the traffic volume of each light-path in the network.Thus the idle light-path set and the maintenance time threshold of each idle light-path were obtained.Then,the actual maintenance time of the idle light-path was perceived by the prediction algorithm.Finally,in the light-paths where the actual maintenance time do not exceed the minimum maintenance time threshold and the inter-core crosstalk are lower than the crosstalk threshold,the idle light-path with the least loading energy consumption was selected to carry the new traffic.The simulation results show that compared with the traditional energy-saving algorithm,when the SDM-EON crosstalk limitation is satisfied,the proposed algorithm can lead better energy-saving while maintain the blocking rate at levels compatible.…”
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Motion estimation algorithm using 2 bit-depth pixel and fuzzy quantization by Chuan-ming SONG, Yan-wen GUO, Xiang-hai WANG, Dan LIU

“…A motion estimation algorithm was proposed using 2 bit-depth pixels. The reduction of pixel depth was first formalized by two successive steps, namely interval partitioning and interva mapping. …”
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Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm by Yourim Yoon, Zong Woo Geem

“…First, 10 single algorithms were considered including genetic algorithm, simulated annealing, particle swarm optimization, harmony search, differential evolution, cuckoo search, least squares method, and pattern search; then their final solutions were used as initial vectors for generalized reduced gradient technique. …”
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Firefly Optimization Algorithm for the Prediction of Uplift due to High-Pressure Jet Grouting by Wukui Dai, Li Liang, Bingji Zhang

“…Therefore, we proposed a new method based on the firefly optimization algorithm to search for the optimal solution for the target function. …”
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