Relevant bibliographies by topics / Distribution technology data processing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Distribution technology data processing'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Distribution technology data processing"

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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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Dissertations / Theses on the topic "Distribution technology data processing"

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容勁 and King Stanley Yung. "Application of multi-agent technology to supply chain management." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31223886.

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Nduku, Nyaniso Prudent. "Development of methods for distribution network power quality variation monitoring." Thesis, Cape Peninsula University of Technology, 2009. http://hdl.handle.net/20.500.11838/1144.

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Thesis (MTech (Electrical Engineering))--Cape Peninsula University of Technology, 2009<br>The purpose of this project is to develop methods for distribution network power quality' variations monitoring. Power quality (PO) has become a significant issue for both power suppliers and customers. There have been important changes in power system regarding to power quality requirements. "Power quality" is the combination at voltage quality and current quality. The main research problem of the project is to investigate the power quality of a distribution network by selection of proper measuremen
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Meiring, Linda. "A distribution model for the assessment of database systems knowledge and skills among second-year university students." Thesis, [Bloemfontein?] : Central University of Technology, Free State, 2009. http://hdl.handle.net/11462/44.

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Lloyd, Joseph W. Jr. "POST-FLIGHT DATA DISTRIBUTION SYSTEM." International Foundation for Telemetering, 1993. http://hdl.handle.net/10150/608898.

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International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Desktop Processors (IBM PC, PC-compatible, and Macintosh) have made a major impact on how the Naval Air Warfare Center Aircraft Division (NAWCAD}, Patuxent River engineering community performs their work in aircraft weapons tests. The personal processors are utilized by the flight-test engineers not only for report preparation, but also for post-flight Engineering Unit (EU) data reduction and analysis. Present day requirements direct a need for improved post-
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Javanshir, Marjan. "DC distribution system for data center." Thesis, Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B39344952.

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Darley, A. D. "Particle size distribution effects in chocolate processing." Thesis, University of Bradford, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.253973.

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Tacic, Ivan. "Efficient Synchronized Data Distribution Management in Distributed Simulations." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6822.

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Data distribution management (DDM) is a mechanism to interconnect data producers and data consumers in a distributed application. Data producers provide useful data to consumers in the form of messages. For each message produced, DDM determines the set of data consumers interested in receiving the message and delivers it to those consumers. We are particularly interested in DDM techniques for parallel and distributed discrete event simulations. Thus far, researchers have treated synchronization of events (i.e. time management) and DDM independent of each other. This research focuses on how t
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伍頌斌 and Chung-pun Ng. "Document distribution algorithms for distributed web servers." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31227703.

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Tilevich, Eli. "Software Tools for Separating Distribution Concerns." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7518.

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With the advent of the Internet, distributed programming has become a necessity for the majority of application domains. Nevertheless, programming distributed systems remains a delicate and complex task. This dissertation explores separating distribution concerns, the process of transforming a centralized monolithic program into a distributed one. This research develops algorithms, techniques, and tools for separating distribution concerns and evaluates the applicability of the developed artifacts by identifying the distribution concerns that they separate and the common architectural characte
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Bengtsson, Mats. "Antenna array signal processing for high rank data models." Doctoral thesis, KTH, Signaler, sensorer och system, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2903.

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Books on the topic "Distribution technology data processing"

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O'Connor, Peter. Electronic distribution technology in the tourism and hospitality industries. CABI Pub., 1999.

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Roche, David J. The impact of information technology on outbound logistics for medium value consumer goods. University College Dublin, 1997.

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IEEE Mohawk Valley Section Dual-Use Technologies & Applications Conference (3rd 1993 SUNY Institute of Technology at Utica/Rome). 3rd Annual 1993 IEEE Mohawk Valley Section Dual-Use Technologies & Applications Conference: Information management collection processing & distribution, May 24-27, 1993. The Institute, 1993.

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United States. Congress. House. Committee on Science. Subcommittee on Technology. Millennium short circuit: The year 2000 effect on energy utilities : hearing before the Committee on Science, Subcommittee on Technology, U.S. House of Representatives, One Hundred Fifth Congress, second session, May 14, 1998. U.S. G.P.O., 1999.

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Australian Data Fusion Symposium (1st 1996 Adelaide, Australia). First Australian Data Fusion Symposium: ADFS-96 Adelaide, Australia, November 21-22, 1996. Institute of Electrical and Electronics Engineers, 1996.

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Australian, Data Fusion Symposium (1st 1996 Adelaide Australia). First Australian Data Fusion Symposium: November 21-22, 1996, Stamford Plaza Hotel, Adelaide, Australia. IEEE, 1996.

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J, Dailey Daniel, Washington (State). Dept. of Transportation., and Washington State Transportation Commission. Planning and Programming Service Center., eds. Traffic data acquisition and distribution (TDAD). Washington State Dept. of Transportation, 2002.

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Cortada, James W. Historical dictionary of data processing--technology. Greenwood Press, 1987.

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Verma, Dinesh C. Content distribution networks: An engineering approach. Wiley, 2002.

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Miller, Howard W. The electronic report distribution guide. Information Technology Institute, 1993.

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Book chapters on the topic "Distribution technology data processing"

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Shmueli, Oded, and Itai Shaked. "SURF: Optimized Data Distribution Technology." In Advances in Parallel & Distributed Processing, and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69984-0_82.

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Kozar, Anastasiia, Janis von Bleichert, Sebastian Breß, et al. "Query Processing on Heterogeneous Hardware." In Scalable Data Management for Future Hardware. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-74097-8_2.

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Abstract In modern processor design, power efficiency has become the primary constraint, prompting manufacturers to develop processors that balance energy consumption with the growing demand for speed. This shift has initiated an era of heterogeneous multi-core computing, characterized by machines utilizing various processors such as GPUs, MICs, and FPGAs. These processors significantly enhance performance due to their computational capabilities and memory bandwidth, essential for optimizing query processing performance. However, executing database queries efficiently across diverse processors
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Stade, Dawid, and Martin Manns. "Robotic Assembly Line Balancing with Multimodal Stochastic Processing Times." In Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27933-1_8.

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AbstractIn this paper, a genetic algorithm for the robotic assembly line balancing problem (RALBP) is developed that supports multimodal stochastic processing times and multiple parallel-working robots per workstation. It has the objective to minimize the amount of workstations at a given production rate and probability limit for violating the cycle time (PL). The algorithm is evaluated on the BARTHOLD data set in a range of 1 % to 50 % for PL using an experimentally determined and a normal distribution for the task times. The increase of PL results in a shift of tasks from rear to front stati
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Guo, Lejiang, Lei Xiao, Fangxin Chen, and Wenjie Tu. "Design of Intelligent Recognization System Architecture Based on Edge Computing Technology." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_23.

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AbstractWith the increasing acceleration of 5G network construction, artificial intelligence, Quantum technology, edge computing provides content distribution and storage computing services near the network edge which greatly reducing the delay of data processing and service delivery. Starting with the process of information support and decision planning, it analyzes the relationship between edge computing, Quantum and the massive military data. It puts forward an intelligence system architecture design based on edge computing and Quantum. Combined with the openness and flexibility of the syst
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Huntley, David, Drew Rotheram-Clarke, Roger MacLeod, et al. "Scalable Platform for UAV Flight Operations, Data Capture, Cloud Processing and Image Rendering of Landslide Hazards and Surface Change Detection for Disaster-Risk Reduction." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_4.

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AbstractThis International Programme on Landslide (IPL) Project 202 paper presents a scalable remote piloted aircraft system (RPAS) platform that streamlines unoccupied aerial vehicle (UAV) flight operations for data capture, cloud processing and image rendering to inventory and monitor slow-moving landslides along the national railway transportation corridor in southwestern British Columbia, Canada. Merging UAV photogrammetry, ground-based real-time kinematic global navigation satellite system (RTK-GNSS) measurements, and satellite synthetic aperture radar interferometry (InSAR) datasets best
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Starke, Ludger, Thoralf Niendorf, and Sonia Waiczies. "Data Preparation Protocol for Low Signal-to-Noise Ratio Fluorine-19 MRI." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_43.

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AbstractFluorine-19 MRI shows great promise for a wide range of applications including renal imaging, yet the typically low signal-to-noise ratios and sparse signal distribution necessitate a thorough data preparation.This chapter describes a general data preparation workflow for fluorine MRI experiments. The main processing steps are: (1) estimation of noise level, (2) correction of noise-induced bias and (3) background subtraction. The protocol is supplemented by an example script and toolbox available online.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven
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Naranjo C., Alberto, Maria del Pilar Noriega E., Juan Diego Sierra M., Juan Rodrigo Sanz, and Tim A. Osswald. "Injection Technology." In Injection Molding Processing Data. Carl Hanser Verlag GmbH & Co. KG, 2019. http://dx.doi.org/10.1007/978-1-56990-667-5_2.

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Naranjo C., Alberto, Maria del Maria del, Juan Diego Sierra M., Juan Rodrigo Sanz, and Tim A. Osswald. "Injection Technology." In Injection Molding Processing Data. Carl Hanser Verlag GmbH & Co. KG, 2018. http://dx.doi.org/10.3139/9781569906675.002.

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Leair, Mark, Douglas Miles, Vincent Schuster, and Michael Wolfe. "Flexible Data Distribution in PGHPF." In Euro-Par’99 Parallel Processing. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48311-x_55.

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Sargsyan, Karine. "Future of Consumption." In Future of Business and Finance. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36382-5_11.

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AbstractThe development of the Internet and the ubiquitous technologization of retail have become one of the fundamental driving forces transforming the whole picture of the world. Changing the essence of the product—changing retail and changing end users’ expectations and novel comprehensive real world are affecting customers online behavior, where and exactly how they choose and buy, and the very concept of a product. The new paradigm of the customer journey, that very “relationship” with the customer, provides a wealth of opportunities to justify the value of their product. Technology will
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Conference papers on the topic "Distribution technology data processing"

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Ma, Hongbo, Yue Wang, Yue Gong, Fengchang Sun, and Mengran Fang. "Research on the Application of Blockchain Technology in Data Access Security and Privacy Protection of Distribution Network." In 2025 International Conference on Digital Analysis and Processing, Intelligent Computation (DAPIC). IEEE, 2025. https://doi.org/10.1109/dapic66097.2025.00075.

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Doane, Jonathan, and Richard Scott Teal. "Data Distribution for Scalable on-Array Processing." In 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI). IEEE, 2024. http://dx.doi.org/10.1109/ap-s/inc-usnc-ursi52054.2024.10686681.

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Dubey, Ratnesh Kumar, Aravendra Kumar Sharma, Suraj Sharma, and Pallavi Khatri. "Extensive Research on Data Distribution Using Cluster-Based Data Distribution in VANET." In 2024 International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET). IEEE, 2024. http://dx.doi.org/10.1109/acroset62108.2024.10743598.

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Pereira, Mark, Nitin Bhat, and Preethi Srinivas. "Parallel processing of layout data with selective data distribution." In 26th Annual BACUS Symposium on Photomask Technology, edited by Patrick M. Martin and Robert J. Naber. SPIE, 2006. http://dx.doi.org/10.1117/12.685962.

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Xiao Xian-Yong, Yang Hong-Geng, and He Jin-Ding. "Data processing technology in power quality monitoring system in distribution system." In 18th International Conference and Exhibition on Electricity Distribution (CIRED 2005). IEE, 2005. http://dx.doi.org/10.1049/cp:20051021.

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Chen, Na, Shengjie Zhou, and Mingxiang Liu. "Multi-Source Data Processing and Integration Technology for Low-Voltage Distribution Networks." In BDMIP '23: International Conference on Big Data Mining and Information Processing. ACM, 2023. http://dx.doi.org/10.1145/3645279.3645311.

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Zhang, Kexin, Xiaobo Dou, Hang Yu, and Yongming Hu. "Data processing technology of distribution station area combined with convolutional neural network." In 2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2022. http://dx.doi.org/10.1109/cyber55403.2022.9907426.

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Wang, Yi, Yue You, Han Zhang, Shengkui Ma, and Huiling Su. "Multi-source data processing method for low-voltage distribution network." In 2023 IEEE 3rd International Conference on Electronic Technology, Communication and Information (ICETCI). IEEE, 2023. http://dx.doi.org/10.1109/icetci57876.2023.10176830.

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Zheng, Pengcheng, Jialong Liu, Yuquan Liao, Beilei Zhang, and Ruolin Wang. "Intelligent Detection and Processing Technology of Abnormal Data in Low-Voltage Distribution Networks." In ICITEE '24: 7th International Conference on Information Technologies and Electrical Engineering. ACM, 2024. https://doi.org/10.1145/3717934.3717987.

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Yin, Haisen, Shuqiong Huang, and Tianchi Lin. "Evaluation of communication efficiency in data processing system of distribution network." In 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2019. http://dx.doi.org/10.1109/itnec.2019.8729437.

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Reports on the topic "Distribution technology data processing"

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Searcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568747.bard.

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This project includes two main parts: Development of a “Selective Wavelength Imaging Sensor” and an “Adaptive Classifiery System” for adaptive imaging and sorting of agricultural products respectively. Three different technologies were investigated for building a selectable wavelength imaging sensor: diffraction gratings, tunable filters and linear variable filters. Each technology was analyzed and evaluated as the basis for implementing the adaptive sensor. Acousto optic tunable filters were found to be most suitable for the selective wavelength imaging sensor. Consequently, a selectable wave
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Medvedeva, S. N., and N. E. Rodnischev. Electronic course «Information technology of experimental data processing». Ailamazyan Program Systems Institute of Russian Academy of Sciences, 2024. https://doi.org/10.12731/ofernio.2024.25398.

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Hennekens, S. M., W. A. Ozinga, and J. H. J. Schaminée. BioScore 3 - Plants : Background and pre-processing of distribution data. Wageningen University & Research, Statutory Research Tasks Unit for Nature & the Environment, 2017. http://dx.doi.org/10.18174/428824.

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Cruse, J. M., and C. P. McGinnis. Tank waste processing and disposal technology development data summary. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10141930.

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Zhu, Karen. Utilizing GIS Technology to Improve INDOT Pavement Friction Data Management and Distribution. Purdue University, 2000. http://dx.doi.org/10.5703/1288284313462.

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Maddux, Gary A. MRDEC Webpage Operation and Maintenance Services for the Purpose of Data Distribution of Missile Technology and Analyses. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada368505.

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Shah, Rajiv R. High-Level Adaptive Signal Processing Architecture with Applications to Radar Non-Gaussian Clutter. Volume 2. A New Technique for Distribution Approximation of Random Data. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada300902.

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Ambiel, Suzanne. The Case for Confidential Computing: Delivering Business Value Through Protected, Confidential Data Processing. The Linux Foundation, 2024. https://doi.org/10.70828/iynl6589.

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As the collection, storage, and analysis of data becomes increasingly important across industries, businesses are looking for solutions that keep data secure and processes compliant with regulations. Confidential computing is one of these solutions, involving the use of a trusted execution environment that runs on shared infrastructure but processes data away from unauthorized users. This use case report interviewed members of the confidential computing community on the ways they have implemented the technology and what they believe its future holds. The report looks at the use of confidential
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Templeton, Todd R. in Proceedings of Third International Symposium on 3D Data Processing, Visualization and Transmission, 2006. Permission was obtained from the publisher for limited distribution. However, for mass distribution, these reprinted portions have been marked and removed; please refer to the original paper. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada637136.

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Jasper, Paul. How can new technology support better measurement of extreme poverty? Data and Evidence to End Extreme Poverty, 2021. http://dx.doi.org/10.55158/deepwpr1.

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A research insight summarising a longer review exploring how innovation in data collection, data processing, and data analysis, might provide solutions to ‘pinch points’ in policymaking and management around poverty reduction.
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