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Journal articles on the topic 'Data integration method'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Kim, Jee-Hyun, and Young-Im Cho. "Research on Big Data Integration Method." Journal of the Korea Society of Computer and Information 22, no. 1 (January 31, 2017): 49–56. http://dx.doi.org/10.9708/jksci.2017.22.01.049.

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Wu, Cen, Fei Zhou, Jie Ren, Xiaoxi Li, Yu Jiang, and Shuangge Ma. "A Selective Review of Multi-Level Omics Data Integration Using Variable Selection." High-Throughput 8, no. 1 (January 18, 2019): 4. http://dx.doi.org/10.3390/ht8010004.

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High-throughput technologies have been used to generate a large amount of omics data. In the past, single-level analysis has been extensively conducted where the omics measurements at different levels, including mRNA, microRNA, CNV and DNA methylation, are analyzed separately. As the molecular complexity of disease etiology exists at all different levels, integrative analysis offers an effective way to borrow strength across multi-level omics data and can be more powerful than single level analysis. In this article, we focus on reviewing existing multi-omics integration studies by paying special attention to variable selection methods. We first summarize published reviews on integrating multi-level omics data. Next, after a brief overview on variable selection methods, we review existing supervised, semi-supervised and unsupervised integrative analyses within parallel and hierarchical integration studies, respectively. The strength and limitations of the methods are discussed in detail. No existing integration method can dominate the rest. The computation aspects are also investigated. The review concludes with possible limitations and future directions for multi-level omics data integration.

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Maleszka, Marcin, and Ngoc Thanh Nguyen. "A METHOD FOR COMPLEX HIERARCHICAL DATA INTEGRATION." Cybernetics and Systems 42, no. 5 (June 2011): 358–78. http://dx.doi.org/10.1080/01969722.2011.595341.

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4

Peng, Lihui, Bowen Zhang, Huichao Zhao, Sonh Aubin Stephane, Hiroaki Ishikawa, and Kazuyoshi Shimizu. "Data Integration Method for Multipath Ultrasonic Flowmeter." IEEE Sensors Journal 12, no. 9 (September 2012): 2866–74. http://dx.doi.org/10.1109/jsen.2012.2204738.

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Golpîra, Hêriş. "A Hybrid Clustering Method Using Balanced Scorecard and Data Envelopment Analysis." International Journal Of Innovation And Economic Development 1, no. 7 (2015): 15–25. http://dx.doi.org/10.18775/ijied.1849-7551-7020.2015.17.2002.

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This paper introduces a new hybrid clustering method using Data Envelopment Analysis (DEA) and Balanced Scorecard (BSC) methods. DEA cannot identify its’ input and output itself, and it is a major weakness of the DEA. In the proposed method, this gap is resolved by integrating DEA with BSC. Some decision-making units (DMUs) needed in DEA method, in compliance with some inputs and outputs is the major drawback of this integration. To deal with this disadvantage, the proposed method selects the most important strategic factors, attained from the BSC method. These data considered to be the input data for the DEA method to calculate relative closeness (RC) of each DMU to the ideal one. Plotting the screen diagram regarding RC index leads us to the final clustering method. Finally, computational results show the applicability and usefulness of the method.

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Wang, Xinming, Haoxiang Tan, Kaijun Chen, Hua Tang, Gansen Zhao, Yong Tang, and Ruihua Nie. "A policy integration method based on multilevel security for data integration." Wuhan University Journal of Natural Sciences 20, no. 6 (November 7, 2015): 483–89. http://dx.doi.org/10.1007/s11859-015-1123-8.

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Liu, Guo Ling, and Chun Hua Yang. "A Method of Data Integration Based on Cloud." Applied Mechanics and Materials 433-435 (October 2013): 1876–79. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1876.

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This work studied the situation of today’s data integration. To better solve the complexity and diversity in data integration, we propose a new idea of data integration service platform based on SaaS. The model architecture of data integration and its work principles are introduced. In the platform source data and result data are two interface.in the form of service. In the data integration platform, data are filtered and combined. the data are produced by the users’ requirements. Users call SaaS service to get the data that they wanted. Finally we analyze the model’s characters. This model of platform is more intelligent, efficient and personalized in solving complicate data integration.

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Dr.A.Mekala. "An Ontology Approach to Data Integration using Mapping Method." International Journal for Modern Trends in Science and Technology 6, no. 12 (December 4, 2020): 28–32. http://dx.doi.org/10.46501/ijmtst061206.

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Text mining is a technique to discover meaningful patterns from the available text documents. The pattern sighting from the text and document association of document is a well-known problem in data mining. Analysis of text content and categorization of the documents is a composite task of data mining. Some of them are supervised and some of them unsupervised manner of document compilation. The term “Federated Databases” refers to the in sequence integration of distributed, autonomous and heterogeneous databases. Nevertheless, a federation can also include information systems, not only databases. At integrating data, more than a few issues must be addressed. Here, we focus on the trouble of heterogeneity, more specifically on semantic heterogeneity – that is, problems correlated to semantically equivalent concepts or semantically related/unrelated concepts. In categorize to address this problem; we apply the idea of ontologies as a tool for data integration. In this paper, we make clear this concept and we briefly explain a technique for constructing ontology by using a hybrid ontology approach.

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Jiao, Ming Lian. "GPS-InSAR Data Integration Method and its Application." Applied Mechanics and Materials 170-173 (May 2012): 2799–802. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.2799.

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The powerful tool of GPS-InSAR integration is drawing more and more attention in deformation monitoring. This paper introduces firstly method of atmospheric corrections and orbit errors to InSAR images using GPS datas. Then, the scheme of GPS-InSAR data integrating is expounded, Finally, Analysis and examples prove that GPS and InSAR technology has highly complementary. On the one hand the GPS provides good approach for resolving sensitivity that the InSAR opposite to atmospheric parameters change and the orbit error correction, on the other hand, we can use GPS technology to raise the InSAR spatial resolution , and are able to monitor surface deformation in millimeter-level precision. Therefore, using GPS-InSAR integrated technology will break through the technical limitations of a single application. They play each of their respective advantages, which greatly improve the resolved capacity in space domain and time domain, so as to provide better services to monitor the surface deformation.

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10

Rice, Gary K., Greg King, and Jay Henson. "Integration of geology, seismic, and geochemical data — Theory and practice in Cheeseburger Field, Stonewall County, Texas, USA." Interpretation 4, no. 2 (May 1, 2016): T215—T225. http://dx.doi.org/10.1190/int-2015-0132.1.

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Difficult-to-find petroleum resources and expensive drilling drive the need for improved exploration methods. Although improvement can be made by technically advancing individual methods, greater improvement comes from integrating existing independent exploration methods to dramatically improve drilling success. Exploration integration is often discussed, but it is less often carried out. A reason exploration integration has been limited may be due to the lack of clearly defined integration methods. In this study, we looked at the integration of independent exploration methods; we studied its fundamental principles, how it works, and why it is effective. Derived from basic probability theory, a simple map overlay of independent exploration data can be an effective integration method. Probability calculations determine the probability of a successful well from known probabilities of integrated independent techniques. A successful integration of data from Cheeseburger Field, Eastern Shelf of the Midland Basin, Stonewall County, Texas, illustrates how integration of 3D seismic, subsurface geologic, and surface geochemical data improve drilling results beyond those achieved from any single method used alone. In Cheeseburger Field, 3D seismic and subsurface geology resulted in [Formula: see text] successful wells. After integrating geochemical exploration data, results improved to [Formula: see text]. Modern petroleum exploration is a multitool, integrated information science. Probability theory provides a means for predicting outcome of integrating independent exploration methods. Enhanced exploration success can be achieved by combining independent and complementary exploration methods in this integration process.

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Kawamura, Takahiro, Shinichi Nagano, and Akihiko Ohsuga. "Proposal of Literal Matching Method toward Linked Data Integration." Transactions of the Japanese Society for Artificial Intelligence 30, no. 2 (2015): 440–48. http://dx.doi.org/10.1527/tjsai.30.440.

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12

CALVANESE, DIEGO, GIUSEPPE DE GIACOMO, MAURIZIO LENZERINI, DANIELE NARDI, and RICCARDO ROSATI. "DATA INTEGRATION IN DATA WAREHOUSING." International Journal of Cooperative Information Systems 10, no. 03 (September 2001): 237–71. http://dx.doi.org/10.1142/s0218843001000345.

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Information integration is one of the most important aspects of a Data Warehouse. When data passes from the sources of the application-oriented operational environment to the Data Warehouse, possible inconsistencies and redundancies should be resolved, so that the warehouse is able to provide an integrated and reconciled view of data of the organization. We describe a novel approach to data integration in Data Warehousing. Our approach is based on a conceptual representation of the Data Warehouse application domain, and follows the so-called local-as-view paradigm: both source and Data Warehouse relations are defined as views over the conceptual model. We propose a technique for declaratively specifying suitable reconciliation correspondences to be used in order to solve conflicts among data in different sources. The main goal of the method is to support the design of mediators that materialize the data in the Data Warehouse relations. Starting from the specification of one such relation as a query over the conceptual model, a rewriting algorithm reformulates the query in terms of both the source relations and the reconciliation correspondences, thus obtaining a correct specification of how to load the data in the materialized view.

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LANG, Jiong, Yan-bing LIU, and Shi-yong XIONG. "Data integration method based on SOA software architecture." Journal of Computer Applications 30, no. 9 (November 30, 2010): 2370–73. http://dx.doi.org/10.3724/sp.j.1087.2010.02370.

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Chen, Min, Zejun Li, Yuan Zhang, Xiangtao Chen, and Ang Li. "A Multiple Platform Based Method For Data Integration." Journal of Computational and Theoretical Nanoscience 12, no. 11 (November 1, 2015): 4890–94. http://dx.doi.org/10.1166/jctn.2015.4457.

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15

Kang, Tae Wook, and Hyun Sang Choi. "BIM-based Data Mining Method considering Data Integration and Function Extension." KSCE Journal of Civil Engineering 22, no. 5 (August 9, 2017): 1523–34. http://dx.doi.org/10.1007/s12205-017-0561-6.

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16

Shuai, Wen Ming, and Xiu Fen Fu. "A Method of Heterogeneous Data Integration Based on SOA." Applied Mechanics and Materials 536-537 (April 2014): 494–98. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.494.

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With the rapid development of information technology, the growth of heterogeneous Web data and the requirements of access to the Web of data also is growing. In view of this, a method of heterogeneous data integration based on SOA(Service-Oriented Architecture) is proposed. This method combines the technology of middleware and SOA design, using XML and Web services technologies, presents a framework of heterogeneous data integration based on SOA, and introduces the architecture of SOA data integration middleware. Experimental results show that this method reduces the coupling of heterogeneous data integration system effectively, and improves the scalability of the system.

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Luecken, Malte D., M. Büttner, K. Chaichoompu, A. Danese, M. Interlandi, M. F. Mueller, D. C. Strobl, et al. "Benchmarking atlas-level data integration in single-cell genomics." Nature Methods 19, no. 1 (December 23, 2021): 41–50. http://dx.doi.org/10.1038/s41592-021-01336-8.

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AbstractSingle-cell atlases often include samples that span locations, laboratories and conditions, leading to complex, nested batch effects in data. Thus, joint analysis of atlas datasets requires reliable data integration. To guide integration method choice, we benchmarked 68 method and preprocessing combinations on 85 batches of gene expression, chromatin accessibility and simulation data from 23 publications, altogether representing >1.2 million cells distributed in 13 atlas-level integration tasks. We evaluated methods according to scalability, usability and their ability to remove batch effects while retaining biological variation using 14 evaluation metrics. We show that highly variable gene selection improves the performance of data integration methods, whereas scaling pushes methods to prioritize batch removal over conservation of biological variation. Overall, scANVI, Scanorama, scVI and scGen perform well, particularly on complex integration tasks, while single-cell ATAC-sequencing integration performance is strongly affected by choice of feature space. Our freely available Python module and benchmarking pipeline can identify optimal data integration methods for new data, benchmark new methods and improve method development.

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18

Wang, Hai Tao, Chun Qin Chang, and Qian Zhao. "A Method of Data Security Integration on Campus Network." Advanced Materials Research 403-408 (November 2011): 2552–55. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2552.

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With the development of high education, the campus network, on the one hand, offers us a convenient means of learning and living, while, on the other hand, some problem emerges on the course of using, such as not coupling, consistency, timing, relative data redundancy between the departments. This article, by researching on the framework of campus network and Cluster knowledge, presents a security and data integration method of campus network design and plan. By this approach, the effective and overall integration, secure information exchange is complemented between departments of campus network.

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Li, Daqian. "Data Integration Method Design of Decision Spatial Information System." Security and Communication Networks 2022 (June 21, 2022): 1–12. http://dx.doi.org/10.1155/2022/8114454.

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With the development of technology, more and more enterprises have begun to use data integration analysis to make decisions. The decision spatial information system is an information system that provides decision support after analyzing and processing the spatial information. Data integration refers to a method of reasonably centralizing different or multisource data for data sharing, which can assist in decision management. This paper aims to study a more efficient data integration method for decision space information system. In this paper, an emergency information decision-making system for digital water network is designed, and a specific data integration algorithm is proposed. And the performance test of the early warning capability and power consumption of the system is carried out. The results show that the early warning time of the system designed in this paper is within 1 to 4 seconds, while the early warning time of the traditional system is within 1.5 seconds to 8 seconds. The power consumption of the system designed in this paper is not more than 25 W, while the traditional system power consumption is up to 50 W. The power consumption of the system in this paper is about half of the traditional system. Compared with the traditional system early warning capability, the system designed in this paper is significantly faster, the system power consumption is lower, and the system is more stable.

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20

GowthamipriyaDarsini, B., and B. Hanmanthu B.Hanmanthu. "Ontological Semi Automatic Method for Web Data Tables Integration." International Journal of Computer Applications 107, no. 9 (December 18, 2014): 44–48. http://dx.doi.org/10.5120/18783-0109.

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21

Akinlar, Mehmet, Muhammet Kurulay, Aydin Secer, and Mehmet Celenk. "A computational method using multiresolution for volumetric data integration." Boundary Value Problems 2012, no. 1 (2012): 115. http://dx.doi.org/10.1186/1687-2770-2012-115.

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22

Sukarsa, I. Made, Putu Wira Buana, Parangkan Nurtantio Quidar, and Ni Wayan Wisswani. "Integration Scheme of Data Marts using Dimension Sharing Method." International Journal of Software Engineering and Its Applications 10, no. 8 (August 31, 2016): 159–72. http://dx.doi.org/10.14257/ijseia.2016.10.8.15.

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23

Wang, Chao, Jie Lu, and Guangquan Zhang. "Web ontology data matching for integration: method and framework." International Journal of Web Information Systems 5, no. 2 (June 19, 2009): 220–38. http://dx.doi.org/10.1108/17440080910968463.

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24

Xiang, Feng, Qi Yin, Zihan Wang, and Guo Zhang Jiang. "Systematic method for big manufacturing data integration and sharing." International Journal of Advanced Manufacturing Technology 94, no. 9-12 (June 10, 2017): 3345–58. http://dx.doi.org/10.1007/s00170-017-0575-8.

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JING, Rong-Zhong, Guang-Shu BAO, Jian LIN, and Shao-Qiu CHEN. "A Geophysical Integration Inversion Method Based on Data Fusion." Chinese Journal of Geophysics 47, no. 1 (January 2004): 162–71. http://dx.doi.org/10.1002/cjg2.468.

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26

Hammad, Rifqi. "ANALISIS INTEGRASI DATA PADA RELASIONAL BASIS DATA DENGAN MENGGUNAKAN METODE SCHEMA MATCHING." Jurnal SAINTEKOM 9, no. 1 (March 31, 2019): 1. http://dx.doi.org/10.33020/saintekom.v9i1.79.

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University is one of the agencies that use information technology to support various business processes. University requires data integration between the systems so that the data available in one system can be used in other systems to support data management.In forwarding data integration there are several obstacles that occur one of the causes is schema heterogeneity used by each information system. linguistic method is one of the schema matching methods used to overcome the problem of schema heterogeneityBased on the analysis of database schemes with the linguistic method, the values of precision, recall and f measure are 0.75. This value indicates that the application of the matching schema has been quite good. But there are still some of the same data between the schemes so that the integration of the data owned is not maximal. So that optimization is still needed to maximize the data integration

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MASUDA, Aoi, and Soichiro TAKATA. "Proposal of heterogeneous data integration method sediment disaster sensor data and Geospatial statistical data." Proceedings of Design & Systems Conference 2020.30 (2020): 2210. http://dx.doi.org/10.1299/jsmedsd.2020.30.2210.

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Zheng, Lei, Jianhong Pan, and Kai Zhang. "Power Data Integration Method Based on Database-table Metadata Semantic." Journal of Physics: Conference Series 2179, no. 1 (January 1, 2022): 012028. http://dx.doi.org/10.1088/1742-6596/2179/1/012028.

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Abstract Aiming at the characteristic of power data with multiple sources, wide distribution and complex association, this paper proposes a power data integration method based on Database-Table Metadata Semantic (DTMS), which can realize the integration of grid data at the metadata layer. Firstly, based on the structure of the database, the semantic expression is established between database and table; Secondly, this paper combines the Jaccard distance similarity method and the edit distance similarity method to achieve semantic matching between metadata and technical terms, which can solve the shortcomings of the single similarity method. Finally, according to the characteristics of power data assets, a power data integration scheme based on DTMS is proposed for multi-source power data integration. Through experiments, the accuracy of the algorithm in this paper has reached 95.8%.

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Du, Yishan, and Tianzhong Zhao. "Network Teaching Technology Based on Big Data Mining and Information Fusion." Security and Communication Networks 2021 (February 8, 2021): 1–9. http://dx.doi.org/10.1155/2021/6629563.

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With the continuous development of modern multimedia technology, the integration of computer technology into the teaching of various subjects has become a trend of the times. The application of computer media and network technology in mathematics teaching improves the integration of mathematics teaching and the integration of resources. A mathematics teaching network media fusion technology is proposed based on big data mining and information fusion, which combines the characteristics of multimedia and network technology in opening, creativity, subjectivity, and so on, and the database model of mathematics teaching is constructed. The multithread integrated scheduling method is used to design the mathematics teaching database model, the fuzzy control method is used to control the multimedia in mathematics teaching, and the big data association rule mining method is used to realize the information fusion of mathematics teaching resources. The optimization and integration of mathematics teaching resources and adaptive scheduling are realized under the technology of computer media and network, and the level of mathematics teaching is improved. The test results show that using this method to design the computer network media of mathematics teaching has a better ability of integrating and dispatching mathematics teaching resources, and the integration of mathematics teaching resources is stronger, which promotes the improvement of mathematics teaching level.

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Amaru, Maisha, Lewis Li, and Aigul Tyshkanbayeva. "Integration of seismic data in reservoir modeling through seismically constrained facies models." Leading Edge 41, no. 12 (December 2022): 815–23. http://dx.doi.org/10.1190/tle41120815.1.

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Seismic data are an important source of information to guide and constrain reservoir modeling as it samples the subsurface in 3D away from wells. Seismic interpretations are used to constrain the structure of reservoir models. Different seismic attributes can support the identification and definition of stratigraphic features, and seismic inversion products can help constrain the rock properties. Different methods exist for integration of seismic data in the modeling process. Here, we present two new methods. The first method constrains facies definition and modeling with seismic data through a geobody earth modeling approach. The second method updates existing facies models with new seismic data using a Bayesian approach. Both methods are applied to a case study with good quality seismic data. The results show that the reservoir model becomes more consistent with the observed field seismic data when these fast and repeatable methods are applied (compared to not integrating seismic constraints or using time-intensive manual integration approaches), thus enabling more robust reservoir models and forecasts.

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Ren, Guo Wei, Rui Ren, and Hong Yang Dai. "A Method of Data Integration Check Based on Online Operation Data of Large-Scale Power System." Applied Mechanics and Materials 448-453 (October 2013): 2699–702. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.2699.

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An important part of power grid voltage stability online intelligent warning system was to research into the current Energy Management System real-time power grid operation parameters and power networks offline data splicing integration, form a set of online dynamic simulation trend data, and implement preventive voltage stability calculation. A splicing model of power grid online data integration and practice was established, and a grid online data splicing method was proposed, which had been verified by actual data. The method of practical data online and offline networks data integration can significantly improve the accuracy of the simulation data.

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Wan, Su Wen. "Investigation and Realization of Integration Method for PDM and ERP Based on XML Data Sharing in Procreation of Electric Motor." Advanced Materials Research 538-541 (June 2012): 2972–77. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.2972.

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Combining with one instance in production of electric motor, the integration mode and content between the systems of the PDM and ERP were researched, and the integration solutions were provided by the XML files. the XML files which could shield the different structures of the application systems were used as the intermediate format of transforming integrated. An integration model and achievement way between the integrating systems of the PDM and ERP were proposed and the simulation model of the production of electric motor was set based on witness. The article proposed a referential mode for the integration between PDM and ERP of enterprises by BOM.

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Gao, Xin, and Raymond J. Carroll. "Data integration with high dimensionality." Biometrika 104, no. 2 (May 9, 2017): 251–72. http://dx.doi.org/10.1093/biomet/asx023.

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Summary We consider situations where the data consist of a number of responses for each individual, which may include a mix of discrete and continuous variables. The data also include a class of predictors, where the same predictor may have different physical measurements across different experiments depending on how the predictor is measured. The goal is to select which predictors affect any of the responses, where the number of such informative predictors tends to infinity as the sample size increases. There are marginal likelihoods for each experiment; we specify a pseudolikelihood combining the marginal likelihoods, and propose a pseudolikelihood information criterion. Under regularity conditions, we establish selection consistency for this criterion with unbounded true model size. The proposed method includes a Bayesian information criterion with appropriate penalty term as a special case. Simulations indicate that data integration can dramatically improve upon using only one data source.

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Zhou, X. G., Y. Jiang, K. X. Zhou, and L. Zeng. "A Dynamic Integration Method for Borderland Database using OSM data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4/W3 (November 13, 2013): 141–47. http://dx.doi.org/10.5194/isprsarchives-xl-4-w3-141-2013.

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Hai-Ping, Si, Shi Lei, Qiao Hong-Bo, Qian Shao-Jun, and Fang Wei. "Method for Agriculture Data Integration and Sharing Based on SOA." Information Technology Journal 12, no. 20 (October 1, 2013): 5673–76. http://dx.doi.org/10.3923/itj.2013.5673.5676.

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Lian, Yu, Di Zhang, Zhengkui Lin, XueHao Sun, and WenLi Yu. "A Comprehensive Integration Method Based on Unbalanced Data Classification Problems." Journal of Physics: Conference Series 1060 (July 2018): 012032. http://dx.doi.org/10.1088/1742-6596/1060/1/012032.

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Schreurs, Antoine M. M., Xinyi Xian, and Loes M. J. Kroon-Batenburg. "EVAL15: a diffraction data integration method based onab initiopredicted profiles." Journal of Applied Crystallography 43, no. 1 (December 1, 2009): 70–82. http://dx.doi.org/10.1107/s0021889809043234.

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A novel diffraction data integration method is presented,EVAL15, based uponab initiocalculation of three-dimensional (x,y, ω) reflection profiles from a few physical crystal and instrument parameters. Net intensities are obtained by least-squares fitting the observed profile with the calculated standard using singular value decomposition. This paper shows that profiles can be predicted satisfactorily and that accurate intensities are obtained. The detailed profile analysis has the additional advantage that specific physical properties of the crystal are revealed. TheEVAL15method is particularly useful in circumstances where other programs fail, such as regions of reciprocal space with weak scattering, crystals with anisotropic shape or anisotropic mosaicity,Kα1/Kα2peak splitting, interference from close neighbours, twin lattices, or satellite reflections of modulated structures, all of which may frustrate the customary profile learning and fitting procedures.EVAL15allows the deconvolution of overlapping reflections.

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Lv, Bin, Hao Xu, Jianqing Wu, Yuan Tian, Sheng Tian, and Suoyao Feng. "Revolution and rotation-based method for roadside LiDAR data integration." Optics & Laser Technology 119 (November 2019): 105571. http://dx.doi.org/10.1016/j.optlastec.2019.105571.

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Kim, Wonil, Joo Hwan Lee, Chuleui Hong, Changhee Han, Hanku Lee, and Bongshik Jang. "An innovative method for data and software integration in SaaS." Computers & Mathematics with Applications 64, no. 5 (September 2012): 1252–58. http://dx.doi.org/10.1016/j.camwa.2012.03.069.

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Gu, Zhengguo, and Katrijn Van Deun. "A variable selection method for simultaneous component based data integration." Chemometrics and Intelligent Laboratory Systems 158 (November 2016): 187–99. http://dx.doi.org/10.1016/j.chemolab.2016.07.013.

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Sharma, Krishna Kumar, and Ayan Seal. "Modeling uncertain data using Monte Carlo integration method for clustering." Expert Systems with Applications 137 (December 2019): 100–116. http://dx.doi.org/10.1016/j.eswa.2019.06.050.

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42

Kohlbeck, F. "A method for the numerical integration of unequally spaced data." Applied Mathematics and Computation 50, no. 1 (July 1992): 45–49. http://dx.doi.org/10.1016/0096-3003(92)90010-x.

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Xu, Bo Yi, Ling Qi Xie, and Feng Lin Bu. "An Effective Method for Manufacturing Data Integration Based on Resource Model." Advanced Materials Research 421 (December 2011): 601–6. http://dx.doi.org/10.4028/www.scientific.net/amr.421.601.

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During complex manufacturing process, various manufacturing information systems and management information systems are often existing as heterogeneous systems, and manufacturing data is distributed everywhere across the whole value chain of the enterprises. One of the most valuable targets in the integration of these manufacturing information systems is the sharing of enterprise resources which are described in different formats in different information systems. In this paper, meta-resource model is extended using workflow to combine enterprise resources together with business process during manufacturing. Then, an effective method of data integration is proposed based on the meta-resource model. In the proposed method, heterogeneous data is encapsulated in unified format of resource and binding with workflow so that data resources could be accessed according to the business process of manufacturing. Finally, case study shows that the resource-based data integration approach is more robot and flexible than traditional data integration method, especial under the environment of complex manufacturing.

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Lewaa, Israa, Mai Sherif Hafez, and Mohamed Ali Ismail. "Data integration using statistical matching techniques: A review." Statistical Journal of the IAOS 37, no. 4 (November 26, 2021): 1391–410. http://dx.doi.org/10.3233/sji-210835.

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In the era of data revolution, availability and presence of data is a huge wealth that has to be utilized. Instead of making new surveys, benefit can be made from data that already exists. As enormous amounts of data become available, it is becoming essential to undertake research that involves integrating data from multiple sources in order to make the best use out of it. Statistical Data Integration (SDI) is the statistical tool for considering this issue. SDI can be used to integrate data files that have common units, and it also allows to merge unrelated files that do not share any common units, depending on the input data. The convenient method of data integration is determined according to the nature of the input data. SDI has two main methods, Record Linkage (RL) and Statistical Matching (SM). SM techniques typically aim to achieve a complete data file from different sources which do not contain the same units. This paper aims at giving a complete overview of existing SM methods, both classical and recent, in order to provide a unified summary of various SM techniques along with their drawbacks. Points for future research are suggested at the end of this paper.

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Saputro, Agung Nugroho Catur, Nurfina Aznam, and Crys Fajar Partana. "Integration Method of Religious Character Values in Chemistry Learning." JKPK (Jurnal Kimia dan Pendidikan Kimia) 7, no. 1 (April 30, 2022): 111. http://dx.doi.org/10.20961/jkpk.v7i1.55601.

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<p class="Standard">Science and religion are closely related because they come from one source, namely God Almighty. Therefore, the concept of the integration of science and religion must be implemented in the form of integrating religious characters in the science learning process. This study aims to identify and inventory the learning methods used to integrate religious character values in chemistry learning. This research is conducted by reviewing the literature, both in books, journal articles and popular scientific writings, about methods of integrating religious character values in chemistry learning. The main data sources are from journal articles that discuss the integration of religious characters in chemistry learning. The journal articles that became the main data source were ten articles obtained from the Google Scholar website using the keyword "integration of religious characters in chemistry learning". The research data were analyzed descriptively and qualitatively. A critical study was also carried out on the literature to obtain the correct conclusion. According to the teacher's creativity, the study results concluded that religious character values can be integrated in chemistry learning in various ways/methods. However, in their article, the researchers did not clearly and unequivocally mention the name of the learning method used to integrate religious characters in chemistry learning. Based on this conclusion, it is recommended that other research is needed to develop a learning model that integrates religious character values in chemistry learning.</p><p class="Standard"><strong><em> </em></strong></p>

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Zhu, Wan Chun. "Integration Research on the Tourism Data of Wisdom Tourism Information System Build." Applied Mechanics and Materials 556-562 (May 2014): 5783–86. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5783.

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In this paper, on the basis of the data warehouse integration mechanisms, use Object-oriented analysis methods, take the ITIS’s functions and data needs as the starting point, promote and optimize the ETL method and form a Tourism-oriented ITIS data integration model. The “wisdom tourism” is explained elaborately. Then it shows what data integration is and how to use integration.

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Drnec, Jakub, Tao Zhou, Stelian Pintea, Willem Onderwaater, Elias Vlieg, Gilles Renaud, and Roberto Felici. "Integration techniques for surface X-ray diffraction data obtained with a two-dimensional detector." Journal of Applied Crystallography 47, no. 1 (January 30, 2014): 365–77. http://dx.doi.org/10.1107/s1600576713032342.

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This article proposes two integration methods to determine the structure factors along a surface diffraction rod measured with a two-dimensional detector. The first method applies the classic way of calculating integrated intensities in angular space. This is adapted to work efficiently with two-dimensional data. The second method is based on integration in reciprocal space. An intensity map is created by converting the detected intensity pixel by pixel to the reciprocal space. The integration is then performed directly on this map. A theoretical framework, as well as a comparison between the two integration methods, is provided.

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Lin, Ke Wei, Xin Liu, and Ming De Duan. "Integration of Multi-View Data Based on Auxiliary Reference Plane." Advanced Materials Research 139-141 (October 2010): 1361–64. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1361.

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The integration of multi-view data in the acquisition of complex surface is researched by using the CMM (coordinate measuring machine) and the laser tracking scanning system. A multi-view data integration method based on the auxiliary reference plane is presented. With the precise auxiliary reference plane, the data measured by the different measuring devices and measuring views are aligned and the accuracy is analyzed. If the error is controlled in a certain range, this method can satisfy the demands of the model and assembly. The problems of low-efficient and low-accuracy in the data fusion of complex surface during the reverse engineering are solved. Meanwhile, the advantages of the different measuring devices and measuring methods are developed. This method has been applied to the reverse engineering development for a motorcycle cover model. The practical result shows that this new method is feasible and efficient.

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Tauscher, H. "TOWARDS A GENERIC MAPPING FOR IFC-CITYGML DATA INTEGRATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-4/W1-2020 (September 3, 2020): 151–58. http://dx.doi.org/10.5194/isprs-archives-xliv-4-w1-2020-151-2020.

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Abstract. Much work has been carried out on the topic of BIM-GIS integration. As a technical challenge in particular, research and development tackle the standard data formats of the two areas and aim for the conversion between, linking of or overarching querying over data sources of these formats. Usually, these operational cases (conversion, linking, querying) are examined in isolation or even treated as mutually exclusive and competing approaches. With Triple Graph Grammars, we propose to apply a method that allows to derive solutions for these operational cases from a common generic ruleset. We demonstrate this approach in a proof-of-concept implementation using eMoflon. Our work focusses on IFC and CityGML and we present and discuss a first end-to-end demonstration of integrating these standards with the proposed method. Going forward such representation of the correlation between IFC and CityGML, declarative, independent of particular operational implementations, can serve as a vehicle to capture and document acknowledged integration schemes for IFC and CityGML, complementing these two standards with a specification of their correlation.

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Shokri, Mahsa, and Ali Reza Pourebrahimi. "The Best Data Integration Method by Using SAW Technique in Ministry of Science, Research and Technology (MSRT)." Journal of Management and Accounting Studies 2, no. 01 (July 1, 2019): 1–6. http://dx.doi.org/10.24200/jmas.vol2iss01pp1-6.

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Many computer systems are usually used by organizations. The data within different systems should be integrated in order to analyze and provide a report. Methodology: The method of saving data and files often focused in the past, the data structure and flow received little attention, therefore, the large volume of data and data transfer management carry into account as a big challenge. Results: Since information systems are growing in the organizations, the number and entanglement of interfaces will increase. If the data integration strategy is disregarded, the organization will meet numerous problems. Conclusion: There are 4 different data integration methods which have their special usage. This article concentrates on the process of data integration and aims to understand the meaning and methods of data integration, to identify variables and effective factors on data integration, to rank the variables of data integration and to provide the best method of data integration by SAW Technique for the Ministry of Science, Research and Technology.

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