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Journal articles on the topic 'Distribution technology data processing'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Gnip, P., and S. Kafka. "Using technology of data collection and data processing in precision farming." Agricultural Economics (Zemědělská ekonomika) 49, No. 9 (2012): 419–26. http://dx.doi.org/10.17221/5426-agricecon.

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Data collection, data processing, data presentation and data application in the System of Precision farming guarantee a success of this system in the market. Difficulties of technologies, which are currently and continually involved in this system, argue against its practical using by farmers. In this case, service company wants to create a suitable environment not only for data collection, but also for the high quality of the information distribution to customers. One of such tools is the MapServer placed on Internet web sites.

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Lee, Sung-Woo, Bok-Nam Ha, In-Yong Seo, and Moon-Jong Jang. "Application of Data Processing Technology on Large Clusters to Distribution Automation System." Transactions of The Korean Institute of Electrical Engineers 60, no. 2 (2011): 245–51. http://dx.doi.org/10.5370/kiee.2011.60.2.245.

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Shang, Haijing, and Haiqing Shang. "Big Data Application Technology and Prospect Analysis in Smart Distribution Network." Academic Journal of Science and Technology 2, no. 1 (2022): 179–81. http://dx.doi.org/10.54097/ajst.v2i1.982.

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Intelligent power distribution network system main application technology including the communications, computer and network, the modern electronic technology, etc., adapter power automation system main components for the master station, terminal automation monitoring system and communication system, has formed a complete collection, transmission and processing in the integration of information system, to realize the remote management of distribution network. The application of big data technology in smart distribution network makes it more intelligent and ADAPTS to the needs of social develop

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Perez, Hector, and J. Javier Gutierrez. "Enabling Data-Centric Distribution Technology for Partitioned Embedded Systems." IEEE Transactions on Parallel and Distributed Systems 27, no. 11 (2016): 3186–98. http://dx.doi.org/10.1109/tpds.2016.2531695.

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Yeremenko, Volodymyr, Olena Monchenkо, Taras Monchenko, and Valentyna Kucherenko. "INFORMATION TECHNOLOGY FOR PROCESSING MEDICAL INDICATORS." TECHNICAL SCIENCES AND TECHNOLOGIES, no. 1(35) (2024): 121–27. http://dx.doi.org/10.25140/2411-5363-2024-1(35)-121-127.

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The article presents a new information technology for processing medical indicators, which is based on the method of his-togram analysis. Histogram analysis, known as a key tool in medical statistics, allows visually and quantitatively evaluate the distribution of data, which becomes important for detecting asymmetry, deviations and other characteristics of the indicator base.The analysis of the existing algorithms for presenting and processing medical information shows that they do not fully satisfy the requirements for solving problems that require complex logical conclusions, taking into ac

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Qu, Zhi Jian, Liang Guo, Hong Ping Ling, Ge Chen, and Li Liu. "Multi-Agent Information Interaction Research for Distribution Dispatch Monitoring." Advanced Materials Research 791-793 (September 2013): 962–66. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.962.

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In allusion to the transmission difficult difficulties problem of massive monitoring information flow, due to numerous on-line processing points and quick variation of operating parameters in distribution network monitoring dispatching, an new asynchronous processing method for batch information based on multi-agent alliance technology is proposed. Multi-agent alliance Platform is constructed by means of designing JACK software. Then using CIM-mapping technology and news event asynchronous trigger technology, massive data interactive real-time processing is implemented. Taking the monitoring s

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Yang, Shuangshuang, Huifeng Bai, Chao Huo, and Ganghong Zhang. "Research on decentralized autonomous fault processing of distribution network based on data twin Technology." Journal of Physics: Conference Series 2310, no. 1 (2022): 012004. http://dx.doi.org/10.1088/1742-6596/2310/1/012004.

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Abstract With the development of new power system construction, distribution network as an important part, its safe and stable operation is more important. In order to make the distribution network have self-identification, self-positioning and self-healing functions, it is necessary to study the decentralized autonomous technology of the distribution network, including the state assessment and fault location technology of distributed power supply. In this paper, the autonomous intelligent agent unit (IA) is designed based on digital twin technology, which has the functions of state assessment

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Khokhlov, Andrey. "Processing Non-Gaussian Data Residuals in Geomagnetism." Applied Sciences 12, no. 4 (2022): 2097. http://dx.doi.org/10.3390/app12042097.

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Some time ago, we considered non-Gaussian shapes of histograms of quantities that were related to residuals in data: we showed at a qualitative level that non-Gaussianity is most likely the result of mixing of Gaussian distributions. In this addendum, we argue that there is a quantitative description that can be used in fairly general situations. Briefly, we present here the same magnetic measurement data that were reported in the original publication: Khokhlov, A.; Hulot, G. On the cause of the non-Gaussian distribution of residuals in geomagnetism. Geophys. J. Int. 2017, 209, 1036–1047.

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Machell, J., S. R. Mounce, B. Farley, and J. B. Boxall. "Online data processing for proactive UK water distribution network operation." Drinking Water Engineering and Science 7, no. 1 (2014): 23–33. http://dx.doi.org/10.5194/dwes-7-23-2014.

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Abstract. Operational benefits and efficiencies generated using prevalent water industry methods and techniques are becoming more difficult to achieve; as demonstrated by English and Welsh water companies' static position with regards the economic level of leakage. Water companies are often unaware of network incidents such as burst pipes or low pressure events until they are reported by customers; and therefore use reactive strategies to manage the effects of these events. It is apparent that new approaches need to be identified and applied to promote proactive network management if potential

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He, Xi, Heng Dong, Wanli Yang, and Wei Li. "Multi-Source Information Fusion Technology and Its Application in Smart Distribution Power System." Sustainability 15, no. 7 (2023): 6170. http://dx.doi.org/10.3390/su15076170.

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Compared to traditional measurement devices, the micro-synchrophasor measurement unit (D-PMU or μPMU) in the distribution power system has great differences in data acquisition frequency, data format, data dimension, time-stamped information, etc. Hence, it is imperative to research the integration mechanism of heterogeneous data from multiple sources. Based on the analysis of the current technology of multi-source information fusion, this paper proposes a novel approach, which considers two aspects: the interoperability of multi-source data and the real-time processing of large-scale streamin

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Zhou, Hui. "Data Processing and Technology Application in Bayes and Empirical Bayes Reliability Analysis of Parameter of Ailamujia Distribution." Advanced Materials Research 951 (May 2014): 249–52. http://dx.doi.org/10.4028/www.scientific.net/amr.951.249.

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The estimation of the parameter of the ЭРланга distribution is discussed based on complete samples. Bayes and empirical Bayesian estimators of the parameter of the ЭРланга distribution are obtained under squared error loss and LINEX loss by using conjugate prior inverse Gamma distribution. Finally, a Monte Carlo simulation example is used to compare the Bayes and empirical Bayes estimators with the maximum likelihood estimator.

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Liu, Chang, Bin Li, Qi Chu Chen, and Jing Yi Lin. "Discussion on Security Protection Technology of Smart Distribution Grid." Advanced Materials Research 614-615 (December 2012): 1646–50. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.1646.

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Smart distribution grid is an open grid, in the process of its deployment must be fully consider its safety problems. Based on the technical system and features of smart distribution grid, the security of smart distribution grid is divided into three levels, smart distribution grid may be the emergence of new safety issues, from data acquisition and processing, information transmission and information applications, this paper expounded on the security technology of the future smart distribution grid.

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Lin, Jiahuan. "Big Data Based on T-Closeness Processing Breaks the Information Cocoon." International Journal of Computer Science and Information Technology 4, no. 3 (2024): 329–34. https://doi.org/10.62051/ijcsit.v4n3.35.

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Aiming at the phenomenon of information cocoon and the challenge of privacy protection in the era of big data, this paper deeply discusses the role of t-closeness and differential privacy technology in breaking the information cocoon, enhancing data privacy protection and promoting information diversity. As an optimized data anonymization technology, t-closeness prevents privacy leakage, reduces algorithm bias and information homogeneity by limiting the distribution of sensitive attributes in equivalence classes, and provides an effective way to break information cocooning. This paper reviews

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Sampath, Sampath, and D. K. Sreekantha. "Efficient Data Processing Techniques for Structured Data Analysis Using Stream Pipeline Parallelism." Fusion: Practice and Applications 18, no. 1 (2025): 104–15. https://doi.org/10.54216/fpa.180109.

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This research illustrates how dynamic task balancing and data sharing may improve distributed data processing. The technology handles parallel processing system difficulties with huge datasets by minimizing resource utilization, time complexity, and output. We modify the workload on the fly after splitting to ensure that all processing units receive equal work. One last optimization phase optimizes job distribution to maximize system efficiency. We test the solution for latency, speed, scalability, resource utilization, fault tolerance, and synchronization overhead. Results reveal that the new

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Liu, Shu Cong, Yan Xing Song, and Jing Song Yang. "Simulation Research on Synthesis Algorithm of Directional Illumination Data." Advanced Materials Research 403-408 (November 2011): 2337–40. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2337.

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Seismic illumination analysis was an effective means of recognizing and studying the energy distributions in the underground geological structure in seismic data acquisition. Effective seismic illumination analysis to a priori targeted-geological model to identify the energy distribution of seismic waves, can apply to seismic analysis and amplitude compensation analysis. To increase the signal to noise ratio and resolution of seismic data when vibrator seismic exploration, it was necessary to strengthen the energy of a certain direction to get the High-Precision imaging and the best illuminati

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Chandrakanth, Lekkala. "The Role of Kubernetes in Automating Data Pipeline Operations: From Development to Monitoring." Journal of Scientific and Engineering Research 8, no. 3 (2021): 240–48. https://doi.org/10.5281/zenodo.11490445.

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In the time of big data and cloud computing, organizations now depend on data processing pipelines, having several things to process, turn, and analyze much data. Such pipelines require management from their development and deployment until monitoring stages, which is often challenging. Kubernetes, the open-source container orchestration platform, the most loved technology for 2019, has gained popularity in automating the data pipelines' operations. This paper analyzes what Kubernetes provides when data distribution, development and testing are involved. Starting from deployment through scalin

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Geng, Shumin, Wei Wang, Xinlei Yang, Peng Du, and Hui Qiao. "Research on high speed data distribution technology based on kernel state of domestic operating system." MATEC Web of Conferences 309 (2020): 04019. http://dx.doi.org/10.1051/matecconf/202030904019.

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The data distribution platform is the ground information center of the relay satellite system to realize the data relay ability. With the increasing demand of the user data transmission, the data transmission ability of the relay satellite system is increasing. The increasing data transmission ability of the satellite puts forward higher requirements for the data distribution ability of the ground distribution platform. In this paper, the technology of data acquisition and data exchange based on the kernel state of the domestic operating system is studied. The design method of data distributio

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Miao, Jianjun, and Shundong Lan. "Application of Visual Sensing Image Processing Technology under Digital Twins to the Intelligent Logistics System." Advances in Civil Engineering 2021 (December 24, 2021): 1–13. http://dx.doi.org/10.1155/2021/5743387.

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Since the founding of the People’s Republic of China, the advantages of logistics are neglected, and the scale operation and the welfare in the industry are difficult to achieve due to the influence of the economic system and social environment. Therefore, a new intelligent logistics distribution management system based on machine vision and visual sensor image processing technology is constructed to respond to the shortcomings of the traditional system, including slow efficiency, huge cost, complex data, and low degree of informatization. Through the analysis and research on the visual sensor

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19

He, Qinghai, Zhiyuan Liu, Xiaoli Li, Yong He, and Zhi Lin. "Detection of the Pigment Distribution of Stacked Matcha During Processing Based on Hyperspectral Imaging Technology." Agriculture 14, no. 11 (2024): 2033. http://dx.doi.org/10.3390/agriculture14112033.

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Color is a key indicator for evaluating the quality of tea during processing; various processing procedures can significantly affect the content of fat-soluble pigments of tea, which in turn affects the color and quality of finished tea. Therefore, there is an urgent demand for the fast, non-destructive detection of pigments of stacked tea during processing. This paper presents the use of hyperspectral imaging technology (HSI), combined with machine learning algorithms, to detect chlorophyll a, chlorophyll b, and carotenoids in stacked matcha tea during processing. Firstly, a quantitative rela

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20

Ji, Duo, and Peng Zhang. "Text Data Processing and Classification Algorithm Based on Data Fusion and Granular Computing." Journal of Sensors 2022 (January 24, 2022): 1–13. http://dx.doi.org/10.1155/2022/6492566.

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With the rapid expansion of network information and the emergence of a large number of electronic texts, how to organize and manage this massive information has become a major challenge. Automatic text categorization technology is to study how to let the machine classify unknown text through self-learning, thus solving the difficulties encountered in manual classification. Because granular computing can reduce the knowledge in solving complex problems, it is more convenient to summarize and acquire knowledge. It has become a hotspot in recent years, and it also provides new ideas for text clas

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21

Wei, Da Qian, Bo Wang, and Xing Pei Ji. "On the Security and Stability Analysis of Power System Based on Big Data Mode." Advanced Materials Research 791-793 (September 2013): 1854–57. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1854.

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The contradiction between the unbalanced geographical distribution and the electricity consumption of energy distribution determines the long-distance; high-capacity transmission will be an important feature in the future development of the electric power industry. Based on GPS technology, WAN synchronized phases measurement technology has provide real-time dynamic information to the system. However, continuous improvement of the PMU distribution and the real-time monitoring of the grid by WAMS system increasingly comprehensive, massive measurement data have been brought about. Studying the me

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22

Vasin, Pavlo. "ALGORITHM FOR RECOGNITION TECHNOLOGY OF ACOUSTIC SIGNALS." Bulletin of the National Technical University "KhPI". Series: Mathematical modeling in engineering and technologies, no. 1 (August 1, 2023): 36–44. http://dx.doi.org/10.20998/2222-0631.2023.01.06.

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An algorithm for processing the reflected acoustic signal for the technology of object recognition against the background of noise interference is presented. The considered mathematical model takes into account that the input data (acoustic signals) have a previously unknown probability distribution. To build an acoustic signal processing technology the Markov chain based probabilistic models, the Monte Carlo integration method and the Bootstrap filter method built on it were used. Based on them, an algorithm for processing an acoustic signal reflected from obstacles was created. The signal pr

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Yusuf, Farida, Asrul Azhari Muin, and Anggriani Anggriani. "Sistem Informasi Pendistribusian Hasil Ternak Dan Pengolahan Data Pakan Ternak Berbasis Web." Journal Software, Hardware and Information Technology 1, no. 1 (2021): 1–12. http://dx.doi.org/10.24252/shift.v1i1.1.

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The development of technology is speedy and accurate, making us live side by side with information and technology itself. Many people have abandoned searching for information manually and switched to using computerized systems so that they can access information more quickly. The animal market is one of the regional assets in improving the community's economy. This animal market also distributes cattle. This distribution requires a fast, precise and accurate time. Animal markets also carry out the processing of animal feed which is used as its animal feed and for sale. In processing data on an

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Choung, Tae-Ok. "Research on the Protection and Use of Personal Information: Focusing on the Problem of Excessive Protection." National Association of Korean Local Government Studies 24, no. 3 (2022): 99–121. http://dx.doi.org/10.38134/klgr.2022.24.3.099.

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Since the 1970s, with the advancement of information and communication technology, the creation and processing of data has been activated, and we are enjoying abundance unimaginable before that. This revolutionary change has been made possible because of the development of data processing technology and the freedom to create, process, and transfer data. However, as the importance of personal information protection is emphasized, prior consent for the collection, processing and transfer of personal information is being strengthened. In addition, it is reaching a level that hinders free distribu

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Kommineni, Hari Priya, Pavan Kumar Gade, Satya Surya MKLG Gudimetla Naga Venkata, and Aditya Manikyala. "Data-Driven Business Intelligence in Energy Distribution: Analytics and Environment-Focused Approaches." Global Disclosure of Economics and Business 13, no. 1 (2024): 59–72. https://doi.org/10.18034/gdeb.v13i1.779.

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This research examines data-driven business intelligence (BI) in energy distribution, concentrating on analytics and environmental methods to improve efficiency and sustainability. The main goals are to explore how BI frameworks can integrate environmental metrics like greenhouse gas emissions, energy loss, and resource efficiency and how predictive analytics, AI, and edge computing can optimize energy distribution systems. The review uses secondary data from academic literature, case studies, and industry reports. Results show that energy distributors may make sustainable choices by integrati

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Petrasova, Svitlana, Nina Khairova, and Anastasiia Kolesnyk. "TECHNOLOGY FOR IDENTIFICATION OF INFORMATION AGENDA IN NEWS DATA STREAMS." Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies, no. 1 (5) (July 12, 2021): 86–90. http://dx.doi.org/10.20998/2079-0023.2021.01.14.

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Currently, the volume of news data streams is growing that contributes to increasing interest in systems that allow automating the big data streams processing. Based on intelligent data processing tools, the semantic similarity identification of text information will make it possible to select common information spaces of news. The article analyzes up-to-date statistical metrics for identifying coherent fragments, in particular, from news texts displaying the agenda, identifies the main advantages and disadvantages as well. The information technology is proposed for identifying the common info

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Glukhov, V. A., Yu A. Goldin, G. V. Zhegulin, and M. A. Rodionov. "Complex Processing of Lidar Survey Data of Marine Areas." Fundamental and Applied Hydrophysics 15, no. 3 (2022): 27–42. http://dx.doi.org/10.59887/fpg/26nu-3hte-3n48.

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The complex processing of data from the shipborne lidar survey of the Black Sea coastal areas was carried out. In this area, internal waves are often observed according to contact and satellite observations. The source of probing linearly polarized laser pulses in the lidar is a solid-state laser with diode pumping of the YAG: Nd active element with a pulse power of 20 mJ at a wavelength of 532 nm and a duration of 7 ns. The co- and cross-polarized components of the echo signal were recorded during the lidar survey. The cross-polarized component of the echo signal was mainly used due to its gr

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Tang, Yue, Shili Liu, Fan Yang, and Jianqing Li. "Optoelectronic Data Processing for Investment Prediction in Distribution Networks Using Grey Model Optimization." Advances in Computer and Materials Scienc Research 3, no. 1 (2025): 172. https://doi.org/10.70114/acmsr.2025.3.1.p172.

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With the rapid development of the economy, the scale of power grid construction has increased, but at the same time, it is also facing problems such as obsolete power grid equipment and line damage, so it is very important for the sustainable development of power grid enterprises to carry out reasonable technical transformation of the power grid and ensure the reliable operation of the power grid system. However, in the power grid technical transformation investment decision-making, mainly rely on the power grid company professional and technical personnel from the past historical experience,

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Hussaini, Syeda Amira, and A. Thyagaraja Murthy. "Blockchain Based Pubic Distribution System." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (2022): 46–54. http://dx.doi.org/10.22214/ijraset.2022.46572.

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Abstract: The Public Distribution System (PDS) is a digital scarcity management system that distributes food grains to lowincome families at affordable prices. It began in the 1940s as a way to alleviate food scarcity caused by World War II. Illegal usage, overcrowding, inability to obtain materials at any time, processing speed, household selection, targeting of bogus cards, and ration card hijacking are some of the problems of the current PDS. To address this flaw, the suggested solution makes use of blockchain technology, which is a cutting-edge technology. Because the data is sensitive and

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He, Qing Song, and Fan Gui Zeng. "Survey and Evaluation of Coalfield Geological Exploration and Coal Resources Based on Remote Sensing Technology." Applied Mechanics and Materials 380-384 (August 2013): 3930–33. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3930.

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With the development of computer science and information technology, computer data mining technology is updated, which makes the image mosaic technology that can detail data processing for remote sensing image. On this basis, this paper uses advanced computer image processing technology to carry on the combination of wavelet decomposition, combined with the GIS remote sensing technology, the coal exploration and investigation evaluation technique are carried out in-depth discussion. The paper establishes the mathematical model of GIS remote sensing image processing, and through the wavelet dec

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S, Manishankar, and S. Sathayanarayana. "Enhanced Big Data Platform for Visualization of Employee Data." JOIV : International Journal on Informatics Visualization 2, no. 3 (2018): 169. http://dx.doi.org/10.30630/joiv.2.3.132.

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In this Digital world storage area capacity required for an Enterprise is quite huge, and processing that Big Data is one of the major challenging areas in today’s information technology. As the heterogeneous data from the various sources grow rapidly, there should be some proficient way for data storage for each enterprise. Most of the Enterprises have a tendency to migrate their data in to servers with high processing capability to handle variety and voluminous data. Major problem that arises in such big data servers of an Enterprise is the process involved in segregating data according to t

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Cheng, Hao, Quan Yuan, Ying Cheng, et al. "Research On the Application of Intensive Processing and Distribution Management of Steel Bars Based on Wisdom Technology." Highlights in Science, Engineering and Technology 51 (May 16, 2023): 63–70. http://dx.doi.org/10.54097/hset.v51i.8239.

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For the site that cannot achieve the scientific processing production management of reinforcing steel bars, and cannot ensure the saturation capacity of steel bars equipment utilization, resulting in large loss of reinforcing steel bars, low processing efficiency and other conditions, Chongqing East Station in the construction process innovation proposed cloud computing, big data, Internet of things, intelligent control as the core technology, steel bars processing "three savings" (save material, save labor, save effort), "two guarantees" (guarantee quality, guarantee progress), and "one excel

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Haryanto, Luthfi Izzatul Azka, and Ridho Firdaus. "Blockchain Technology based Smart Contract Model in Indonesia." Blockchain Frontier Technology 2, no. 2 (2022): 59–63. http://dx.doi.org/10.34306/bfront.v2i2.211.

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The primary task of integrated product supply chain management is distribution. The processing, storage, and distribution of high-quality pharmaceutical products makes the drug distribution process crucial in the pharmaceutical sector. The distribution of fake medications by associated parties, such as unauthorized or unregistered distributors or data collecting for unregistered medications distributed by distributors, is a concern in the pharmaceutical industry. Drug production permits that are misused up until they are distributed or circulated do not adhere to the Food and Drug Supervisory

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Fu, Yaping. "Meteorological analysis based on cloud radar data acquisition and computerized data fusion techniques." Journal of Combinatorial Mathematics and Combinatorial Computing 124 (February 18, 2025): 303–15. https://doi.org/10.61091/jcmcc124-21.

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With the frequent occurrence of global climate change and extreme weather events, meteorological forecasting technology has gradually become an auxiliary technology for production activities. In order to improve the quality of meteorological analysis results, a technology utilizing cloud radar data as the core is proposed. The vertical distribution of water vapor and liquid water in the atmosphere is detected by a ground-based microwave radiometer. The median filtering method is used to further smooth the classified and preliminarily removed reflectance factor data, and computer information pr

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Al-Khalifa, Hend S., Taif AlOmar, and Ghala AlOlyyan. "Natural Language Processing Patents Landscape Analysis." Data 9, no. 4 (2024): 52. http://dx.doi.org/10.3390/data9040052.

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Understanding NLP patents provides valuable insights into innovation trends and competitive dynamics in artificial intelligence. This study uses the Lens patent database to investigate the landscape of NLP patents. The overall patent output in the NLP field on a global scale has exhibited a rapid growth over the past decade, indicating rising research and commercial interests in applying NLP techniques. By analyzing patent assignees, technology categories, and geographic distribution, we identify leading innovators as well as research hotspots in applying NLP. The patent landscape reflects int

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Yntema, Doekle R., and Caspar V. C. Geelen. "Electronic Technology for Wastewater Treatment and Clean Water Production." Water 14, no. 8 (2022): 1276. http://dx.doi.org/10.3390/w14081276.

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Water is essential for society. Due to excellent distribution systems for clean drinking water and wastewater, safe and reliable water transport is guaranteed. However, due to ageing network conditions, there is a need for extensive network monitoring and replacement strategies. There is a high demand for good insight into water mains and water distribution systems. A promising way to monitor our water transport involves various types of novel sensors, including strategies for the smart placement of these sensors, maximizing performance while minimizing costs. Furthermore, processing the incre

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Raskin, Lev, Larysa Sukhomlyn, Viacheslav Karpenko, and Dmytro Sokolov. "Statistical processing of a small sample of raw data using artificial orthogonalisation technology." Eastern-European Journal of Enterprise Technologies 3, no. 4 (123) (2023): 14–21. http://dx.doi.org/10.15587/1729-4061.2023.282130.

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This paper addresses the task to devise a statistical estimation procedure in an event where the volume of the array of initial data used in processing is insufficient to correctly determine the parameters of the response function. The object of research is the technology of statistical processing of a small sample of data. The subject of the study is the methods of statistical estimation under conditions of a small sample of initial data. The main direction is to devise a special procedure for statistical processing of a small sample of initial data, which provides a correct statistical estim

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Presciutti, O., G. P. Pelliccioli, R. Tarducci, P. Chiarini, and G. Gobbi. "New Processing Methods in Functional MRI." Rivista di Neuroradiologia 10, no. 3 (1997): 261–64. http://dx.doi.org/10.1177/197140099701000301.

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Two processing methods of fMRI data are proposed: vector orthogonalization and Fisher transformation of correlation coefficients (cc) distribution. The former is based on orthogonalization of vectors V (time course of signal intensity) and R (noise) to make V independent from R. The latter is based on Fisher transformation of cc distribution. From this distribution, by usual statistical tests, it is possible to detect the values of the cc that are significantly different from the mean in order to select activated pixels.

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Szűcs, Balázs. "Data Integration Framework to Collect Data from OT/IT Systems." Acta Technica Jaurinensis 16, no. 2 (2023): 34–41. http://dx.doi.org/10.14513/actatechjaur.00689.

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Industry 4.0 and industrial data processing, due to its inherent possibilities, is gaining more and more emphasis in production companies these days. In a corporate environment, the age of equipment is extremely heterogeneous, in addition to state-of-the-art equipment, legacy systems can also be found in the machine park, which do not have appropriate communication protocols. Also, with the increase in the number of data sources, the management of data is becoming more and more challenging. Not only the operational technology, but also the connection of different IT systems and the extraction

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David, Arokiaraj, C. Ganesh Kumar, and P. Victer Paul. "Blockchain Technology in the Food Supply Chain." International Journal of Information Systems and Supply Chain Management 15, no. 3 (2022): 1–12. http://dx.doi.org/10.4018/ijisscm.290014.

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This paper explains about the feasibility of Blockchain Technology in food organization. The technology of BCT helps the organizations to achieve integrity among peer-to-peer nodes, such as maintaining proof of work, reducing intermediaries, traceability, etc. It can be applied in the BCT at different levels of Supply Chain Management processes. This empirical study was conducted with the help of the primary data. The data was collected from food industry managers who have knowledge about the BCT in the process of supply chain management. The questionnaire was prepared based on the different s

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Yao, Guo Zhong, Li Si Ai, Li Zhong Shen, and Gui Yong Wang. "Research on the High-Speed Data Acquisition System Based on Clock Distribution." Advanced Materials Research 834-836 (October 2013): 1039–46. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1039.

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In order to digitize the signal of high frequency or ultra-high frequency, clock distribution technology with the same frequency but different phase is utilized as a solution to this difficulty. The principles of high-speed analog-to-digit converter (ADC) by the lower rate ADC module, key technology and key module of the data acquisition systems are studied. From the aspects of system architecture, clock distribution module based on the AD9520, ADC module based on the AD9480 and data processing, the design method of ultra-high-speed ADC by clock distribution mode are explored. The results show

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Slijkerman, W. F. J., W. J. Looyestijn, P. Hofstra, and J. P. Hofman. "Processing of Multi-Acquisition NMR Data." SPE Reservoir Evaluation & Engineering 3, no. 06 (2000): 492–97. http://dx.doi.org/10.2118/68408-pa.

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Summary Crucial issues in formation evaluation are the determination of porosity, permeability, hydrocarbon volumes, and net-to-gross ratio. Nuclear magnetic resonance (NMR) logging provides measurements that are directly related to these parameters. The NMR response of fluids contained in pores is governed by their T2- and T1-relaxation times, diffusion coefficient, and whether or not they wet the rock. In the case where fluids possess a sufficiently large contrast in these properties and NMR data have been acquired with suitably chosen acquisition parameters (i.e., wait times and/or inter-ec

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Tupas, M. E. A., S. C. Lat, and R. A. Magturo. "DATA ARCHIVING AND DISTRIBUTION OF LiDAR AND DERIVED DATASETS IN THE PHILIPPINES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 13, 2016): 195–99. http://dx.doi.org/10.5194/isprs-archives-xli-b4-195-2016.

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LiDAR programs in the Philippines have been generating valuable resource and hazard information for most of the country at a substantial rate since 2012. Significant progress have been made due to the programs design of engaging 16 Universities and research institutions spatially distributed across the country. Because of this, data has been accumulating at a brisk rate which poses significant technical and logistic issues. While a central node, the University of the Philippines, Diliman, handles data acquisition, pre-processing, and quality checking, processing and ground validation are devol

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Sarkar, Agnidipta, Rojina Khatun, Sudeshna Sengupta, and Malavika Bhattacharya. "Microscopy-based Data Processing in Cell Biology." Cell Biology 13, no. 1 (2025): 1–22. https://doi.org/10.11648/j.cb.20251301.11.

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By making it possible to extract intricate and significant biological information from visual imaging, data processing based on microscopy has completely changed contemporary cell biology. Researchers have overcome historical constraints by combining microscopy with sophisticated image processing technologies, opening up new possibilities for comprehending cellular architecture and functions in unprecedented detail. The goal of this study is to present a thorough examination of the methods and new developments in microscopy-driven data analysis, emphasizing both the theoretical underpinnings a

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Yao, Dun Hong, Xiao Ning Peng, and Jia He. "Industrialization Research and Realization of Preprocessing in Rough Set Based on Similar Prediction." Applied Mechanics and Materials 251 (December 2012): 185–90. http://dx.doi.org/10.4028/www.scientific.net/amm.251.185.

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In every field which needs data processing, the sparseness of data is an essential problem that should be resolved, especially in movies, shopping sites. The users with the same commodity preferences makes the data evaluation valuable. Otherwise, without any evaluation of information, it will result in sparse distribution of the entire data obtained. This article introduces a collaborative filtering technology used in sparse data processing methods - project-based rating prediction algorithm, and extends it to the areas of rough set, the sparse information table processing, rough set data prep

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Smirnov, Petr, Evgeniy Alekseev, Mihail Smirnov, Vitaliy Egorov, and Tagir Vagizov. "CONCEPT OF MODERN TECHNOLOGY FOR PROCESSING LITTERLESS MANURE." Vestnik of Kazan State Agrarian University 20, no. 1 (2025): 82–92. https://doi.org/10.12737/2073-0462-2025-1-82-92.

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Analysis of methods for utilizing by-products of livestock farming allowed us to develop a promising concept of accelerated technology for processing litterless manure as part of an organomineral mixture. The basis of the concept is the separation of liquid and solid fractions of litterless manure already in the barn and, accordingly, subsequent separate processing, disinfection and introduction of fractions. In this case, the sterility of the liquid fraction is taken into account, therefore, its introduction is allowed without disinfection and processing. The solid fraction undergoes successi

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Shen, Hong Li, Xian Xia Li, Ming Guang Huang, and Jun He. "Automatic Data Acquisition and Analysis System of Electron Beam Distribution Based on LabVIEW Code." Applied Mechanics and Materials 644-650 (September 2014): 2463–66. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2463.

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Automatic data acquisition and analysis system is set up aiming at measuring and analyzing the electron beams distribution from electron gun and traveling wave tube. It can obtain electron beam parameters, such as three-dimension current density distribution, beam center, beam waist and total current etc. and it can be applied to space technology ranging from centimeter wave to millimeter wave. LabVIEW program is used to acquire data from the hardware equipment and deduce results from post-processing system. As a result, this study is significant to improve the design of electron gun and trave

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Tupas, M. E. A., S. C. Lat, and R. A. Magturo. "DATA ARCHIVING AND DISTRIBUTION OF LiDAR AND DERIVED DATASETS IN THE PHILIPPINES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 13, 2016): 195–99. http://dx.doi.org/10.5194/isprsarchives-xli-b4-195-2016.

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Abstract:

LiDAR programs in the Philippines have been generating valuable resource and hazard information for most of the country at a substantial rate since 2012. Significant progress have been made due to the programs design of engaging 16 Universities and research institutions spatially distributed across the country. Because of this, data has been accumulating at a brisk rate which poses significant technical and logistic issues. While a central node, the University of the Philippines, Diliman, handles data acquisition, pre-processing, and quality checking, processing and ground validation are devol

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Zhang, Yinhuan, Qinkun Xiao, Xing Liu, Yongquan Wei, Chaoqin Chu, and Jingyun Xue. "A Data Acquisition and Processing Method for Edge Computing Robotic Arm Behavior Recognition." Wireless Communications and Mobile Computing 2022 (August 9, 2022): 1–12. http://dx.doi.org/10.1155/2022/1170373.

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Edge computing refers to the use of an open platform on the side close to the object or data source to integrate network, computing, storage, and core application functions to provide the latest nearby services. With the development of edge computing, the cost of data acquisition has been reduced, and the efficiency has been improved. However, at present, there is no in-depth research on edge computing for robot arm behavior recognition. This paper aims to study the data acquisition and processing methods of robotic arm behavior recognition through edge computing technology. A gesture recognit

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Zhao, Yingyan, Yihong Zhou, and Wu Deng. "Innovation Mode and Optimization Strategy of B2C E-Commerce Logistics Distribution under Big Data." Sustainability 12, no. 8 (2020): 3381. http://dx.doi.org/10.3390/su12083381.

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With the advent of big data era and rapid development of Internet technology, e-commerce has had a strong development tendency that causes many problems, such as redundant and complex business processes, low efficiency and a high cost for e-commerce logistics in the distribution sector. It is not difficult to conclude that the key to improving logistics distribution efficiency—and reduce logistics distribution costs—is to optimize logistics distribution under big data. In this study, the management model, influence factors and development status of B2C e-commerce logistics distribution under b

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