Application of Big Data Clustering Algorithm in Electrical Engineering Automation by Yongchang Zhang, Zhe Zhang

“…This paper designs an electrical engineering automation control method based on big data clustering algorithm, obtains the load parameters of power cable laying mode, arranges the cable channels hierarchically, extracts the technical characteristics of electrical engineering automation control, integrates the equipment operation information, builds the automatic distribution linkage model, mines the data rules of power index, sets the distribution structure of electrical equipment by big data clustering algorithm, and centrally configures the functional units.Experimental Results. …”
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Fast and live virtual machine migration in data center networks by Teng MA, Yuxiang HU

“…In data center networks,virtual machine live migration causes large volume of data transfer on core links of the network,which leads to performance degradation of the baring application and other background services.Based on inheriting the existing memory page de-duplication technique,a new search structure was presented composed of a counting Bloom filter with each bucket pointing to a link list,which overcame the problem of false positive of memory page lookup.Furthermore,a pruned algorithm was proposed to reduce the length of each link list and accelerate the lookup as much as possible to accomplish live and fast virtual machine migration in rack level.Experiment results show that the proposed method transfers less data on core links,takes less time to finish migration,and decreases the degradation of network applications caused by migration.…”
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Crustal thickness and lithospheric properties of Mercury constrained by gravity data by Qingyun Deng, Mao Ye, Weifeng Hao, Chi Xiao, Zhen Zhong, Denggao Qiu, Wensong Zhang, Chong Zheng, Yichen Wang, Jianguo Yan, Jean-Pierre Barriot, Zhiyong Xiao, Fei Li

“…The gravity field contains information about the internal structure of this innermost planet. Although the Mercury Surface, Space ENvironment, GEochemistry, and Ranging (MESSENGER) mission acquired the best-quality orbital tracking data for Mercury, the solved gravity field models still suffer from the uneven resolution between the northern and southern hemispheres, in which broad gravity anomalies in the northern mid-latitude region and small-scale anomaly features in the high-latitude region are revealed. …”
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Data-Driven Approximated Optimal Control of Sulfur Flotation Process by Mingfang He

“…A simulation environment of sulfur flotation process is constructed based on phenomenological model and industrial data. Some practical problems in the implementation of ADP, i.e., selection of basis functions, how to use the model structural information in the ADP-based control design, are investigated. …”
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Unsupervised Detection of Suspicious Tissue Using Data Modeling and PCA by Ikhlas Abdel-Qader, Lixin Shen, Christina Jacobs, Fadi Abu Amara, Sarah Pashaie-Rad

“…The algorithm employs linear structure and curvelinear modeling prior to PCA implementations. …”
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GPerturb: Gaussian process modelling of single-cell perturbation data by Hanwen Xing, Christopher Yau

“…Understanding combinatorial perturbation effects is essential but challenging due to data sparsity and complex biological mechanisms. …”
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Improved Private Data Protection Scheme for Blockchain Smart Contracts by Sheng Hu

“…Data security and privacy protection are critical challenges that constrain the advancement of edge computing. …”
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A Combination of SHA-256 and DES for Visual Data Protection by Aristides Bima Wintaka, Christy Atika Sari, Eko Hari Rachmawanto, Rabei Raad Ali

“…This study employs SHA-256 and DES algorithms to safeguard visual data through encryption and decryption processes. …”
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Frequency of occurrence of atmospheric parameters according to AERONET data in Dushanbe by Makhmudov Abduvosit N., Abdullaev Sabur F., Maslov Vladimir A.

“…A comparative analysis of the frequency of occurrence of atmospheric parameters according to AERONET data in the period from 2019 till 2022 years. The main reasons for changes of annual variation of aerosol parameters are meteorological factors, and changes in the dispersed structure of aerosol particles of different origins. …”
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Digital Revolution in Spatial Planning: The Potential of Geolocation Data in Czechia by Petr Jirásek, Radovan Šomplák

“…This article analyzes population movement patterns in the Vysočina Region, Czechia, using mobile network geolocation data. Geolocation data provide new insights into population movement and structure, capturing real-time fluctuations in population size at different times of day and days of the week. …”
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Signal‐level fusion for indexing and retrieval of facial biometric data by Pawel Drozdowski, Fabian Stockhardt, Christian Rathgeb, Christoph Busch

“…This work presents a method of indexing biometric databases, which relies on signal‐level fusion of facial images (morphing) to create a multi‐stage data structure and retrieval protocol. By successively pre‐filtering the list of potential candidate identities, the proposed method makes it possible to reduce the necessary number of biometric template comparisons to complete a biometric identification transaction. …”
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Data-Driven Customer Segmentation and Marketing Strategies in Grocery Retail by Song Yiyang

“…After preprocessing steps like handling missing values, encoding categorical variables, and standardizing data, Principal Component Analysis (PCA) reduced the dimensionality of the data. …”
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The Impact of Research Data Infrastructures: The Case of the AlphaFold Database by Angelo Kenneth Romasanta, Jonathan Wareham, Laia Pujol Priego

“…To better understand the benefits of these public resources, this study explores the AlphaFold (AFDB) database, a collaboration between DeepMind and the European Molecular Biology Laboratory (EMBL) that democratizes access to protein structure data. Employing a quantitative case study strategy using bibliometric analysis, this study compares publications indexed in the Web of Science Core Collection citing the original AF paper (Jumper et al., 2021) with those citing the AlphaFold database (Varadi et al., 2022), covering publications up to August 2024. …”
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Data Processing Method in Medium Range Coastal Radar Complex by Dang Quang Hieu, Nguyen Xuan Truong

“…It provides solutions for such missions as command and control of maritime forces, border monitoring and control, prevention of illegal activities such as piracy, smuggling, illegal immigration, illegal fishing, supporting search and rescue (SAR) operations, and creates a common situation awareness picture of the Naval Theatre. The system structure diagram is designed to solve computational overload problem when processing large volume of data received from radar stations. …”
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Domain Terminology Collection for Semantic Interpretation of Sensor Network Data by Myunggwon Hwang, Jinhyung Kim, Jangwon Gim, Sa-kwang Song, Hanmin Jung, Do-Heon Jeong

“…In this paper, we suggest a method of domain terminology collection based on Wikipedia category information in order to prepare seed data for such knowledge bases. However, Wikipedia has two weaknesses, namely, loops and unreasonable generalizations in the category structure. …”
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Automated identification of pathways from quantitative genetic interaction data by Alexis Battle, Martin C Jonikas, Peter Walter, Jonathan S Weissman, Daphne Koller

“…However, the analytical tools for fully exploiting such information lag behind the ability to collect these data. We present a novel Bayesian learning method that uses quantitative phenotypes of double knockout organisms to automatically reconstruct detailed pathway structures. …”
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GeoFAN: Point Pattern Recognition in Spatial Vector Data by Zhuoyi Yang, Zeyi Li, Haitao Zhang, Wei Zhang, Yanwei Wang, Yihang Huang

“…However, the application of traditional methods to spatial vector data faces two difficulties. Firstly, these data are low signal-to-noise ratio data in which the point patterns are mixed with a large number of normal point clusters; thus, it is difficult to recognize point patterns from these unstructured data using traditional clustering or machine learning methods. …”
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Data Management System and Software for Comprehensive Assessment of the State of the Biosphere by P. K. Shalkevich, D. S. Lavnikovich, Yu. S. Gorodnaya, A. V. Chementsova

“…As part of solving the problem of a comprehensive assessment of the state of the biosphere, the urgent question is to develop a geographic information system that will not only store large amounts of data of various types, but also provide the ability to use methods for processing and analyzing this data, numerical modeling me thods and intelligent decision-making methods. …”
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Bayesian Spatial NBDA for Diffusion Data with Home-Base Coordinates. by Glenna F Nightingale, Kevin N Laland, William Hoppitt, Peter Nightingale

“…This method is especially valuable for studies for which detailed spatially structured data, but no other association data, is available. …”
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Autoencoders with shared and specific embeddings for multi-omics data integration by Chao Wang, Michael J. O’Connell

“…We compare our model with previously proposed AE structures based on simulated data and real cancer data from The Cancer Genome Atlas. …”
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