An Algorithm of Faulty Antenna Location Based on Interval Analysis of Horizontal Beam-Width by Zhuoyi Tang, Zhidong Hu, Gang Lin

“…The problems such as decrease of antenna gain,the leakage of side-lobe signal,and the degradation of front-to-back ratio,were mainly discussed,and an algorithm of faulty antenna location based on interval analysis of horizontal beam-width was proposed,by dividing the horizontal beam-width with different radiation angle:±[0,15°],[16°,30°],[31°,60°],[61°,90°],[91°,120°],[121°,150°],[151°,180°].At last,through relational analysis of Rxqual,Rxlev,over-coverage index,and communication distance in different radiation angle interval,the location of faulty antenna was realized.…”
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An Algorithm of Faulty Antenna Location Based on Interval Analysis of Horizontal Beam-Width by Zhuoyi Tang, Zhidong Hu, Gang Lin

“…The problems such as decrease of antenna gain,the leakage of side-lobe signal,and the degradation of front-to-back ratio,were mainly discussed,and an algorithm of faulty antenna location based on interval analysis of horizontal beam-width was proposed,by dividing the horizontal beam-width with different radiation angle:±[0,15°],[16°,30°],[31°,60°],[61°,90°],[91°,120°],[121°,150°],[151°,180°].At last,through relational analysis of Rxqual,Rxlev,over-coverage index,and communication distance in different radiation angle interval,the location of faulty antenna was realized.…”
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Migration and commuting interactions fields: a new geography with community detection algorithm? by Isabelle Thomas, Arnaud Adam, Ann Verhetsel

“…The objective is to refresh the geography of Belgium using interactions between places by means of a community detection algorithm (Louvain Method) inspired by Complex theory and Data Sciences. …”
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An Energy-Efficient Distributed Algorithm for Virtual Backbone Construction with Cellular Structure in WSN by Jun Zhang, Yu Xiang, Xiaojuan Liu, Wenyong Wang, Yong Tang

“…The construction of virtual backbone within wireless sensor network (WSN) is an important means to reduce the redundant transmission and conserve limited energy resources. …”
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Optically Induced Dielectrophoresis and Machine Learning Algorithms for the Identification of the Circulating Tumor Cells by Joanna Filippi, Francesca Corsi, Paola Casti, Gianni Antonelli, Michele D’Orazio, Francesco Capradossi, Rosamaria Capuano, Giorgia Curci, Lina Ghibelli, Arianna Mencattini, Eugenio Martinelli

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An Intelligent Gestational Diabetes Mellitus Recognition System Using Machine Learning Algorithms by Rasool Jader, Sadegh Aminifar

“…In the recommended model, the amount of data is reduce by using the K-means clustering method. Predictions are made using a number of classification methods, such as decision tree, random forests, SVM, KNN, logistic regression, and naive bayes. …”
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Application of Quasi Proportional Resonance Control Algorithm in Three-phase Inverter Power by Weiwei GAN, Wei GUO, Ke CHEN, Wentao WANG, Minggao ZENG, Xuebiao PENG

“…In order to reduce the harmonic content of the inverter output voltage, a harmonic suppression method based on the quasi-proportional resonance control algorithm was proposed. The proposed method mainly suppresses the 5th and 7th harmonics of the inverter output voltage. …”
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Research of Online Error Prediction and Parallel Algorithm for Voltage Transformer in Smart Grid by Xin Xianfeng, Chen Rongye, Lin Cong, Liu Qingchan, He Zhaolei, Li Tengbin, Yang Guangrun, Kochan Orest, Karpa Mykhailo

“…Online voltage transformer error prediction is an important research direction in the field of smart grids. This article mainly focuses on the online error prediction and the parallelization method of voltage transformers. …”
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Iterative algorithm for locating nodes in WSN based on modifying average hopping distances by LIN Jin-zhao1, CHEN Xiao-bing1, LIU Hai-bo1

“…Three approaches were put forward to improve the poor locating performance of DV-Hop algorithm which is one of the range-free algorithms in wireless sensor network （WSN） with a dynamic topology. …”
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Application of Intelligent Fuzzy Decision Tree Algorithm in English Teaching Model Improvement by Jingjing Li

“…In this paper, we propose a way to obtain the centroids of continuous attribute clustering by K-means algorithm and combine the triangular fuzzy number to fuzzy the continuous data. …”
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Two-dimensional multi-scale permutation entropy algorithm based on uniform quantization by WANG Daming, SHI Pengfei, LEI Yihang, BIAN Haoran, LIANG Min, CHANG Liwei

“…Consequently, the MUPE_2D algorithm provides an effective means for evaluating images.…”
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Light Source Detection Algorithm in Real-time Scene Based on Single Tag by SUN Bo-wen, SUN Jian, TANG Bei-bei

“…The illumination coherence in augmented reality is an important means that makes virtual objects get realistic. It can make the computergenerated virtual objects blend into the real scene In order to archieve the illumination coherence of augmented reality, this paper modifies the present algorithm and proposes a algorithm based on single tag This new method collects the brightness of the identification marking in any direction to make sure which direction the light source might be; it compares the brightness of the identification marking with the brightness of the virtual objects to ensure the brightness of the light source; it determines the color of the light source by getting the color of the marker portion of no inkjet Experiments show that in meet the realtime and stability at the same time,the average angle between the virtual light source which is estimated by using the algorithm in this paper and the true source is 43 degrees,and the virtual objects can correctly cast shadows…”
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Identifying vital nodes algorithm in social networks fusing higher-order information by Guanghui YAN, Meng ZHANG, Hao LUO, Shikui LI, Ting LIU

“…Identifying vital nodes is a basic problem in complex network research.The existing theoretical framework,mainly considered from the lower-order structure of node-based and edge-based relations often ignores important factors such as interactivity and transitivity between multiple nodes.To identify vital nodes more accurately,the motif,the high-er-order structure of the network,was studied as the basic unit.Firstly,a notion of higher-order degree of nodes in a com-plex network was proposed.Then,the higher-order structure and lower-order structure of nodes were fused into evidence theory.A semi-local identifying vital nodes algorithm fusing higher-order information of nodes was designed.The results of experiments on three real social networks show that the proposed algorithm can identify vital nodes more accurately in the network than the existing methods which only focus on the low-order structure.…”
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Recurrent neural network based turbo decoding algorithms for different code rates by Shridhar B. Devamane, Rajeshwari L. Itagi

“…Turbo decoders are constructed by two means; as neural Turbo decoder and deep learning Turbo decoder. …”
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Critical Algorithmic Mediation: Rethinking Cultural Transmission and Education in the Age of Artificial Intelligence by Fulgencio Sánchez-Vera

“…It argues that algorithms operate as cultural agents, acquiring a form of operative agency that enables them to intervene in the production, circulation, and legitimation of meaning. …”
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Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…By comparing these algorithms, we can clarify the advantages and adaptability of different algorithms in different scenarios. …”
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KAB: A new k-anonymity approach based on black hole algorithm by Lynda Kacha, Abdelhafid Zitouni, Mahieddine Djoudi

“…We propose, in this paper, a novel algorithm based on a simple nature-inspired metaheuristic called Black Hole Algorithm (BHA), to address such limitations. …”
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Detection of Victimization Patterns and Risk of Gender Violence Through Machine Learning Algorithms by Edna Rocio Bernal-Monroy, Erika Dajanna Castañeda-Monroy, Rafael Ricardo Rentería-Ramos, Sixto Enrique Campaña-Bastidas, Jessica Barrera, Tania Maribel Palacios-Yampuezan, Olga Lucía González Gustin, Carlos Fernando Tobar-Torres, Zeneida Rocio Ceballos-Villada

“…Models were developed to classify women according to their vulnerability and risk of suffering various forms of violence, which were integrated into a decision-making tool for local authorities. The algorithms employed include K-means for clustering, artificial neural networks, random forests, decision trees, and multiclass classification algorithms combined with fuzzy classification techniques to handle the incomplete data. …”
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Research on Network Intrusion Detection Based on Weighted Histogram Algorithm for In-Vehicle Ethernet by Yutong Wang, Yujing Wu, Yihu Xu, Kaihang Zhang, Yinan Xu

“…This study focuses on network intrusion and security issues in In-Vehicle Ethernet, by analyzing the data characteristics of Audio Video Transport Protocol and potential network attack means. We innovatively propose a network intrusion detection method based on a weighted histogram algorithm. …”
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Dance video action recognition algorithm based on improved hypergraph convolutional networks by Ni Zhen, Yiyi Jiang

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