Double-path multiscale adaptive compressed sensing network for electronic data by Lubin Yu, Yongsheng Huang, Yiqiang Cheng, Qiliang Du, Zhenwei Zhou, Lianfang Tian, Shilie He, Honghui Liu

“…This network is structured around four key modules: signal compression, preprocessing, initial reconstruction, and secondary reconstruction. …”
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Genomic Data Support the Revision of Provenance Regions Delimitation for Scots Pine by Martyna Lasek, Julia Zaborowska, Bartosz Łabiszak, Daniel J. Chmura, Witold Wachowiak

“…By examining maternally inherited mitochondrial markers, nuclear microsatellite loci, and thousands of SNP markers from a genotyping array, we evaluated the genetic structure between and within them. These multilevel genomic data revealed high genetic similarity and a homogeneous structure in most populations, suggesting a common historical origin and admixture of populations after the postglacial recolonization of Central Europe. …”
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“Decision Tree” as a Tool for Analyzing the Psychodiagnostics Data Latent Connections by Elena V. Slavutskaya, Leonid A. Slavutsky

“…The study demonstrated the possibilities of the proposed data processing algorithm for evaluating the latent connections between psychological characteristics and for building the hierarchical structures corresponding to vertical system data analysis. …”
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Studying Discourse from Corpus and Experimental Data: Bridging the Methodological Gap by Ludivine Crible

“…In the second part, a selection of mixed-method discourse-analytic studies is reviewed to illustrate the different ways in which corpora and experiments can interact, how much convergence (or lack thereof) can be found across production and comprehension paradigms, and the technical and methodological solutions that researchers have found to make the data as comparable as possible. This structured literature review concludes with the recommendation that discourse analysis can benefit from more mixed-method approaches, provided that the methods are planned with the respective affordances of each method in mind.…”
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Population inflow and outflow of Beijing and Shanghai based on big data analysis by Xiaojin ZHOU, Yang YAO

“…With the help of LBS big data analysis,more about population floating and its changing is know while the outcome is more accurate and its cost less than traditional population investigation or census.Analysis shows that the population size from outside province of Beijing and Shanghai remains stable with a slight decline by the end of 2015.Compared with national population census of 2010,the inflow population structure has seen a great change,the inflow population from the neighboring provinces increased a lot.To speed up the implementation of the national big data strategy,the government should promote public data sharing,attract more scholars to engage in big data analysis and help to build the country's basic population database.…”
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Designing markets, governing data: Engineering value in the American healthcare system by Linda Huber

“…As this data-solutionism for extractive markets becomes a more prevalent mode of governance—particularly in areas like climate change—we must find alternative mechanisms for collectively defining the public good, and for achieving corporate accountability beyond financial incentive structures.…”
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Optimal DMD Koopman Data-Driven Control of a Worm Robot by Mehran Rahmani, Sangram Redkar

“…First, data are obtained from the nonlinear model of the worm robot. …”
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MONITORING OF EROSION PROCESSES DEVELOPMENT WITH THE USE OF ARCHIVAL REMOTE SENSING DATA by I. I. Nugmanov, E. V. Nugmanova, O. V. Luneva, I. Yu. Chernova

“…The goal of the research is to develop components of the method aimed at output of information on relief-forming processes from archival and current remote sensing (RS) data with the use of the latest data-processing technologies, including photogrammetry and geoinformation systems (GIS). …”
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Data-Driven Photovoltaic System Modeling Based on Nonlinear System Identification by Ayedh Alqahtani, Mohammad Alsaffar, Mohamed El-Sayed, Bader Alajmi

“…The data are divided into estimation and validation sets. …”
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Joint inversion of transient electromagnetic and radiomagnetotelluric data for enhanced subsurface characterization by Ismael M. Ibraheem, Pritam Yogeshwar, Fereydoun Sharifi, Rainer Bergers, Bülent Tezkan

“…Abstract Joint inversion of geophysical data offers a robust means to improve the resolution and reliability of subsurface models, particularly when integrating methods with complementary depth sensitivities. …”
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Data aggregation scheduling algorithm based on twice maximum independent set by Jian XU, Geng YANG, Zheng-yu CHEN, Hai-yong WANG, Zhen YANG

“…The main task in designing a data aggregation schedule was to get a good trade-off between QoS and weighted fairness guarantee.In order to address this problem,a novel data aggregation scheduling algorithm,MISS,was proposed,which could produce a collision-free TDMA schedule for data aggregation based on twice Maximum Independent Set (MIS).In the first phase,a tree structure based on MIS was constructed,and then it was adjusted according to the energy consumption forecast of each node,forming the balanced data aggregation tree.In the second phase,the approximate maximum weighted Independent set (WMIS) was utilized of all selected links to allocate time slots for each communication link.The results of simulation demonstrate that MISS not only improves the aggregation delay and lifetime of the network,but also gives weighted fairness guarantee.…”
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Research and implementation on acquisition scheme of telecom big data based on Hadoop by Baoyou WANG, Jing QIAN, Shijin YUAN

“…ETL is a very important step in the implementation process of data warehouse.A good ETL flow is important,which can effectively process the telecom big data and improve the acquisition efficiency of the operation platform.Firstly,the main data content of the big data platform was expounded.Secondly,in order to improve the efficiency of massive data collection,Hadoop and Oracle mashup solution was suggested.Subsequently,a dynamic triggered ETL scheduling flow and algorithm was proposed.Compared with timer start ETL scheduling method,it could effectively shorten waiting time and avoid the phenomenon of resources to seize and congestion.Finally,according to the running log of Hadoop platform and Oracle database,the relationship between acquisition efficiency and data quantity was analyzed comparatively.Furthermore,practice result shows that the hybrid data structure of the big data platform complement each other and can effectively enhance the timeliness of data collection and access better application effect.…”
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Value mining and application of big data in enterprise power credit investigation by Baojiang XIN, Dewen LI, Lanlan WANG

“…Aiming at the shortcomings of traditional power credit investigation platform such as insufficient stability and low test accuracy, a big data power credit investigation platform was designed.The online analytical method was used to analyze power big data, which was divided into four categories: user behavior, expense rules, user value and personal credit.Based on the modular structure, the data acquisition module, data analysis module and user interaction module were optimized respectively.The KNN and cross validation method were used to classify and process the power consumption data, and the regional power consumption law was obtained, so as to design and adjust the distribution scheme.Finally, the platform was compared with the traditional power credit investigation platform.The experimental results show that the stability and accuracy of the platform are improved, and the accuracy is as high as 98.9% during the test.…”
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Voxel-based vegetation change detection using multi-source data by D. Acharya, B. Gorte, M. Zhang, D. Yang, W. Shi, S. Zlatanova, S. Zlatanova, M. Wachowicz

“…This study presents a voxel-based approach to vegetation change detection from multi-source datasets, including laser scanning and 2D shape files from different years. A novel Octree data structure is utilised in this work that supports different operations for efficient vegetation change. …”
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Vehicle trajectory reconstruction from automatic license plate reader data by Haiyang Yu, Shuai Yang, Zhihai Wu, Xiaolei Ma

“…In order to learn the vehicle travel characteristics in the city of Ruian, we developed a common methodology for structuring travelers’ complete information using the travel time threshold to recognize a single trip based on the automatic license plate reader data and built a trajectory reconstruction model integrated into the technique for order preference by similarity to an ideal solution and depth-first search to manage the vehicles’ incomplete records phenomenon. …”
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Simulation Comparison of Different Cooling Modes of Blade Server in Data Centers by Liu Shengchun, Liu Zhang, He Wei, Jia Ziang, Luo Yilin, Zhu Kai

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Prediction of ball-on-plate friction and wear by ANN with data-driven optimization by Alexander Kovalev, Yu Tian, Yonggang Meng

“…To predict sliding friction and wear at mixed lubrication conditions, in this study a specific ANN structure was so designed that deep learning algorithms and data-driven optimization models can be used. …”
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Automatic control of air temperature in the greenhouse considering the weather forecast data by A. G. Senkov

“…The article proposes a method based on the principle of disturbance compensation using weather forecast data. The plant dynamic model structure is described by the linear 1st order aperiodic link with delay both for the control circuit and for the disturbance circuit. …”
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Design and verification of HDLC data frame parallel search and decapsulation module by Qian Yong, Liu Wei

“…The article follows the HDLC standard data link layer specification, uses the hardware description language Verilog HDL to implement a parallel structure-based HDLC frame search and decapsulation circuit, and uses System Verilog technology to build a verification platform, and randomly generates HDLC data frames to verify the correctness of the design. …”
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Research and Application of Automatic Collection Technology of Locomotive Onboard Video Data by MU Yuanpeng

“…The scheme uses an onboard GPU to perform batch code conversion on a plurality of different formats of video data, automatically perform video integrity check, correct video data SCR and PTS clocks, and implement preprocessing and structuration of video data. …”
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