User grouping and power allocation algorithm for UAV-aided NOMA network by Guoquan LI, Jinzhao LIN, Yongjun XU, Zhengwen HUANG, Ting LIU

“…To improve the transmission flexibility of emergency communication scenarios,a joint user grouping and power allocation algorithm was proposed for UAV-aided non-orthogonal multiple access (NOMA) system.A sum-rate maximization resource allocation algorithm was formulated under the constraints of the maximum transmit power and the user grouping.To solve the non-convex problem,a graph-based user grouping algorithm was proposed to minimize the relative distance between the UAV and users.Based on the grouping result,the power allocation sub-problem was transformed into a convex one by using the auxiliary-variable approach.Simulation results demonstrate that the proposed algorithm has better performance in terms of sum rates.…”
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Voltage Profile Analysis in Smart Grids Using Online Estimation Algorithm by P. Raghavendra, Ramakrishna S. S. Nuvvula, Polamarasetty P. Kumar, Dattatraya N. Gaonkar, A. Sathoshakumar, Baseem Khan

“…This paper presents a real-time sensor-based online voltage profile estimation technique and coordinated Volt/VAR control in smart grids with distributed generator interconnection. An algorithm is developed for voltage profile estimation using real-time sensor remote terminal unit (RTU) which takes into account topological characteristics, such as radial structure and high R/X ratio, of the smart distribution grid with DG systems. …”
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A Temperature Field Based Routing Algorithm in Content-Centric Networking by Zonghai Liu, Peng Wang, Xiaohui Zhang, Feicai Jin

“…Aiming at the characteristics of CCN, a temperature field based routing（TFBR）algorithm was proposed. This scheme introduced the conception of temperature fields in physics into CCN and applied a finite element method（FEM）, which is one of numerical analysis techniques, to assign a temperature value to each node of CCN in a distributed way. …”
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Distributed energy efficient unequal clustering algorithm for wireless sensor networks by SHANG Feng-jun1, Mehran Abolhasan2, Tadeusz Wysocki3

“…A distributed energy-efficient unequal clustering （DEEUC） algorithm was proposed for wireless sensor net-works by research current routing algorithms. …”
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Using Improved XGBoost Algorithm to Obtain Modified Atmospheric Refractive Index by Yanbo Mai, Zheng Sheng, Hanqing Shi, Qixiang Liao

“…Besides, the improved XGBoost algorithm has the strongest learning and generalization capability to calculate missing values of atmospheric refractive index among the three algorithms. …”
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Algorithmic Generation of Parameterized Geometric Models of the Aortic Valve and Left Ventricle by Nikita Pil, Alex G. Kuchumov

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Video inter-frame tampering detection algorithm fusing multiple features by Hui XIAO, Bin WENG, Tianqiang HUANG, Han PU, Zehui HUANG

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A Two-Level Metaheuristic Algorithm for the Job-Shop Scheduling Problem by Pisut Pongchairerks

“…This paper proposes a novel two-level metaheuristic algorithm, consisting of an upper-level algorithm and a lower-level algorithm, for the job-shop scheduling problem (JSP). …”
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Combined AGADESN with DBSCAN Algorithm for Cluster Target Motion Intention Recognition by Xirui Xue, Shucai Huang, Daozhi Wei

“…In order to solve these problems, a joint algorithm of deep echo state network optimized by adaptive genetic algorithm (AGADESN) and DBSCAN clustering algorithm is proposed in this paper. …”
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A Grammar-Based Semantic Similarity Algorithm for Natural Language Sentences by Ming Che Lee, Jia Wei Chang, Tung Cheng Hsieh

“…This paper proposes a sentence similarity algorithm that takes advantage of corpus-based ontology and grammatical rules to overcome the addressed problems. …”
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Application of the Improved Grey Wolf Algorithm in Spacecraft Maneuvering Path Planning by Changqing Wu, Xiaodong Han, Weiyu An, Jianglei Gong, Nan Xu

“…In order to deal with this problem, the grey wolf algorithm is used for mutation and evolution, so as to reduce the difficulty of solving the problem and shorten the convergence time. …”
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Insights on the use of genetic algorithm to tessellate voronoi structures in materials science by Luana Souza Almeida, Paulo Rangel Rios

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Joint scheduling algorithm for correlative tasks in multi-access edge computing by Weifeng LU, Ning LI, Jia XU, Lijie XU, Jian XU

“…Multi-access edge computing (MEC) has emerged as a promising computing paradigm for resource-intensive applications.However, most of the previous research work has not considered correlative tasks, which may lead to infeasible scheduling decisions.Considering that some tasks on the application must be completed locally and another non-negligible energy consumption problem in the multi-access edge computing offloading scenario, the joint scheduling algorithm of correlative tasks on the local and edge sides was studied.The problem was formalized as minimizing the energy consumption in the system while satisfying the application’s completion deadline constraints, and the joint scheduling (JS) algorithm was proposed to solve the problem.Finally, the performance of the JS algorithm in the application completion rate and system energy consumption were analyzed through simulation experiments.The simulation results show that the JS algorithm is superior to other comparison algorithms in the application completion rate and can save at least 43% of the system energy consumption.…”
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WiFi Indoor Positioning Based on EGA-PF and Fernet Algorithm by Yanchun Wang, Shaoye Sun, Fengjuan Miao, Ying Xia

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Development of Deep Learning-Based Algorithm for Extracting Abnormal Deceleration Patterns by Youngho Jun, Minha Kim, Kangjun Lee, Simon S. Woo

“…Among those artificial intelligence algorithms, anomaly detection algorithms can successfully separate the deceleration data in abnormal driving situations, and the resulting refined deceleration data can be used to train the regression model to achieve better driving stability. …”
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Deduplication algorithm based on condensed nearest neighbor rule for deduplication metadata by Wen-bin YAO, Peng-di YE, Xiao-yong LI, Jing-kun CHANG

“…Building effective deduplication index in the memory could reduce disk access times and enhance chunk fingerprint lookup speed,which was a big challenge for deduplication algorithms in massive data environments.As deduplication data set had many samples with high similarity,a deduplication algorithm based on condensed nearest neighbor rule,which was called Dedup²,was proposed.Dedup²uses clustering algorithm to divide the original deduplication metadata into several categories.According to these categories,it employs condensed nearest neighbor rule to remove the highest similar data in the deduplication metadata.After that it can get the subset of deduplication metadata.Based on this subset,new data objects will be deduplicated based on the principle of data similarity.The results of experiments show that Dedup²can reduce the size of deduplication data set more than 50% effectively while maintain similar deduplication ratio.…”
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Coverage scheduling algorithm of mobile sensor nodes for optimizing network lifetime by Haibo YANG, Yourong CHEN, Banteng LIU, Yunkai ZHU, Ziyi SU

“…In order to solve the coverage blind problem caused by deployment and failure of heterogeneous static sensor nodes,a coverage scheduling algorithm of mobile sensor nodes for optimizing network lifetime (CSA) was proposed.CSA considerd heterogeneous perceived radius of static sensor nodes and calculates the location of mobile sensor nodes based on the information of neighbor static sensor nodes.According to the location reported by static sensor nodes,coverage scheduling model was established.Heuristic solution method was proposed,to solve the scheduling model,and optimal location of mobile sensor nodes was obtained.The simulation results show that CSA can improve regional coverage and the number of survival static sensor nodes,improve network lifetime and reduce energy consumption of average static sensor nodes.Under certain conditions,CSA is better than Mno,MNode and MGrid algorithms.…”
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Low-Rank Variational Quantum Algorithm for the Dynamics of Open Quantum Systems by Sara Santos, Xinyu Song, Vincenzo Savona

“…The algorithm encodes each pure state of the statistical mixture as a parametrized quantum circuit, and the associated probabilities as additional variational parameters stored classically, thereby requiring a significantly lower number of qubits than algorithms where the full density matrix is encoded in the quantum memory. …”
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Efficacy of a new treatment algorithm for capsulitis of the fingers in rock climbers by Volker Rainer Schöffl, Volker Rainer Schöffl, Volker Rainer Schöffl, Volker Rainer Schöffl, Volker Rainer Schöffl, Christoph Lutter, Christoph Lutter, Hans-Christoph Lang, Mario Perl, Othmar Moser, Michael Simon

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The Prediction Algorithm and Characteristics Analysis of Kuroshio Sea Surface Temperature Anomalies by Dawei Shi, Chao Li, Zhu Zhu, Runqing Lv, Shengjie Chen, Yunfeng Zhu

“…The results show that the prediction model of Spring Kuroshio SST based on CHAID algorithm has a high prediction accuracy, with the reasonable and effective model and the well-thought-out decision rules. …”
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