A Grammar-Based Semantic Similarity Algorithm for Natural Language Sentences by Ming Che Lee, Jia Wei Chang, Tung Cheng Hsieh

“…This paper presents a grammar and semantic corpus based similarity algorithm for natural language sentences. Natural language, in opposition to “artificial language”, such as computer programming languages, is the language used by the general public for daily communication. …”
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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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Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm by Xingsi Xue, Haolin Wang, Jie Zhang, Yikun Huang, Mengting Li, Hai Zhu

“…Then, a stable marriage-based alignment extraction algorithm is presented to determine high-quality alignment. …”
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Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching by Xi Du, Qi Ao, Lu Qi

“…Therefore, the interactive multimodel algorithm can achieve better performance. This paper proposes an improved interactive multimodel algorithm that can achieve player tracking and trajectory feature matching. …”
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Deep reinforcement learning based resource allocation algorithm in cellular networks by Xiaomin LIAO, Shaohu YAN, Jia SHI, Zhenyu TAN, Zhongling ZHAO, Zan LI

“…In order to solve multi-objective optimization problem,a resource allocation algorithm based on deep reinforcement learning in cellular networks was proposed.Firstly,deep neural network (DNN) was built to optimize the transmission rate of cellular system and to complete the forward transmission process of the algorithm.Then,the Q-learning mechanism was utilized to construct the error function,which used energy efficiency as the rewards.The gradient descent method was used to train the weights of DNN,and the reverse training process of the algorithm was completed.The simulation results show that the proposed algorithm can determine optimization extent of optimal resource allocation scheme with rapid convergence ability,it is obviously superior to the other algorithms in terms of transmission rate and system energy consumption optimization.…”
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Graph compression algorithm based on a two-level index structure by Gaochao LI, Ben LI, Yuhai LU, Mengya LIU, Yanbing LIU

“…The demand for the analysis and application of graph data in various fields is increasing day by day.The management of large-scale graph data with complicated structure and high degree of coupling faces two challenges:one is querying speed too slow,the other is space consumption too large.Facing the problems of long query time and large space occupation in graph data management,a two-level index compression algorithm named GComIdx for graph data was proposed.GComIdx algorithm used the ordered Key-Value structure to store the associated nodes and edges as closely as possible,and constructed two-level index and hash node index for efficient attribute query and neighbor query.Furthermore,GComIdx algorithm used a graph data compressed technology to compress the graph data before it directly stored in hard disk,which could effectively reduce the storing space consumption.The experimental results show that GComIdx algorithm can effectively reduce the initialization time of the graph data calculation and the disk space occupancy of the graph data storing,meanwhile,the query time is less than common graph databases and other Key-Value storage solutions.…”
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BRS-Based Robust Secure Localization Algorithm for Wireless Sensor Networks by Ning Yu, Lirui Zhang, Yongji Ren

“…Simulation results demonstrate that the proposed algorithm is robust and effective.…”
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Multiple Machine Learning Algorithms-based NBA Team Playoffs Prediction by Yeung Manho

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Euclid meets Popeye: The Euclidean Algorithm for $2\times 2$ Matrices by Bacher, Roland

“…An analogue of the Euclidean algorithm for square matrices of size $2$ with integral non-negative entries and positive determinant $n$ defines a finite set $\mathcal{R}(n)$ of Euclid-reduced matrices corresponding to elements of $\lbrace (a,b,c,d)\in \mathbb{N}^4\ \vert \ n=ab-cd,\ 0\le c,d…”
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Sustainable Land Use Dynamic Planning Based on GIS and Symmetric Algorithm by Shuiying Chen, Qingxia Guo, Lina Li

“…Therefore, this paper puts forward the dynamic planning of sustainable land use based on GIS and symmetry algorithm. The collected land information is preprocessed by ArcGIS, and the land remote sensing images are classified by decision tree combined with ENVI (Visual Image Environment), using local sparse coding to extract land use features, with enhancement and reconstruction of remote sensing images using symmetric algorithm. …”
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A Recommendation System in the Medical Industry using SW-DBSCAN Algorithm by Reza Molaee Fard, Payam Yarahmadi

Subjects: “…sw-dbscan clustering algorithm…”
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