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检索条件"任意字段=8th International Conference on Extending Database Technology"

共 633 条记录，以下是81-90 订阅

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Improving the Current System of Online Sellers by Creating database System Using MS Access

Improving the Current System of Online Sellers by Creating D...

引用

IEEE international conference on Engineering Technologies and Applied Sciences (ICETAS)

作者： Krishah Ronacel Dl. Bilbao Ken Joshua U. Rebosura Joshua B. Ilagan Michael N. Young School of IE-EMG Mapúa University Manila Philippines

the Age of technology, the Digital Age, has been transforming sales trends and processes. As more companies start incorporating technology into their business strategies, the competition gets tougher and more demanding. Using outdated technology has been a problem for many small business owners, as it hurts overall business performance. the researchers have found one seller who would still use an outdated system by manually sending out forms and updating her database, which could cost her potential clients and sales. this paper then aims to solve that problem by analyzing information on that system and determining its waste. the researchers expect an increase in efficiency, as they use MS Access to create a form and a database for the online seller, aside from adding a new feature that will allow customer queries. the researchers have found that implementing the MS Access database in the system of individual online sellers increases their efficiency and a lesser chance of making a mistake.

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Research on the Intelligent Acquisition and Mining technology of Metadata Based on Electric Power database

Research on the Intelligent Acquisition and Mining Technolog...

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IEEE international conference on Smart Cloud (SmartCloud)

作者： Yiting Lou Zhi Huang Fangyuan Ke Jiaqin Li Zhizhen Zhang Yingyang Chen Information & Telecommunication Branch (Data Center) State Grid Ningbo Electric Power Supply Company Ningbo China

the intelligent metadata acquisition algorithm and the power industry database-based K-Means clustering algorithm can enhance the efficiency of data acquisition and processing, providing effective support and guidance for data analysis and applications in the power industry. the experimental results demonstrate that the K-Means clustering algorithm achieves the best clustering performance and high accuracy when the number of clusters is set to 3. the research findings of this paper offer valuable support and references for data management and applications in the electric power industry. Furthermore, they are relevant and significant for data analysis and applications in other fields.

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HABFD: Houma Alliance Book Facsimiles database

HABFD: Houma Alliance Book Facsimiles Database

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international conference on Image, Vision and Computing (ICIVC)

作者： Zhibo Zhang Xiaohua Huang Xiaoyu Yuan Yabo Sun School of Computer Engineering Nanjing Institute of Technology Nanjing Jiangsu

the Houma Alliance Book contains official characters from the Jin State (approximately 550 BC) and is also the earliest discovered calligraphy using writing brushes in the archaeological community. As an ancient handwriting system, HAB stores a wealth of information that helps us understand the world, the history of the Jin State in the Spring and Autumn Period, the evolution of calligraphy, and more. However, HAB was only discovered approximately sixty years ago, and there is little research on it. Due to environmental corrosion, the HAB has become less legible, making the technology for automatic detection and recognition of characters an important solution. this paper aims to make an Houma Alliance Book facsimiles database namely FADB, and to carry out detection and recognition. the database contains 655 facsimiles with 327 classes of Chinese characters. More specifically, it has the individual characters from the 655 facsimiles. then, this paper uses a deep learning network to recognize these samples. Experiments are performed on the new database. the experimental results provide new baseline results of detection and recognition for this new database and demonstrate the feasibility of our dataset.

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Research on database Construction and Assembly Path Planning Method for Key Components of Phased Array Antennas

Research on Database Construction and Assembly Path Planning...

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2024 8th international conference on Electrical, Mechanical and Computer Engineering (ICEMCE)

作者： Minghui Chen Chaoning Jin Lei Xi Yong Han Bo Zhou Nanchang Yanchang Electromechanical Technology Co. Ltd Nanchang Jiangxi China The 39th research institute of China electronics technology group corporation Xi’an Shaanxi China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang Liaoning China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang Liaoning China

ISBN: (数字)9798331506230

ISBN: (纸本)9798331506247

Compared with traditional antennas, phased array antennas with key structural components such as multi Vilvadi oscillators and grid plates have advantages such as high gain and high directional ability. Due to the need for a large number of structural components in phased array antennas, this will affect the performance and assembly accuracy of the assembled antenna. How to quickly and reasonably provide an assembly error distribution plan is the key to improving the performance of phased array antennas. this paper proposes a database based on geometric feature extraction of contact surfaces and finite element analysis of contact stress to obtain an optimized assembly plan for key components of phased array antennas, which requires the use of a large number of key components. Considering the real-time updated assembly data, a reasonable assembly path planning method was planned to avoid assembly interference. the simulation results show that this method can significantly improve assembly efficiency and provide a reasonable assembly error distribution scheme.

关键词： Phased arrays databases Directive antennas Feature extraction Path planning Finite element analysis Arrays Assembly Antenna accessories Stress

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Control Method of Input Information Amount of Intelligent Education Resource database Based on Data Mining 8th

Control Method of Input Information Amount of Intelligent Ed...

引用

8th EAI international conference on e-Learning, e-Education, and Online Training, eLEOT 2022

作者： Wang, Xin Zhang, Pan Shandong Institute of Commerce and Technology Jinan250103 China Sichuan University Jinjiang College Pengshan620860 China

ISBN: (纸本)9783031211638

the existing resource database input information control methods have the problem of complex data set block integration process, resulting in low control rate. therefore, a data mining based intelligent education resource database input information control method is proposed. Identify the performance characteristics of intelligent education resource database, adopt a comprehensive and open architecture, block data with file granularity, optimize the data set block integration process, set the security range by using data mining, and design the input information control mode according to the needs of teaching and learning. Experimental results: the average control value of the input information control method of the intelligent education resource database is 69.388%, which shows that after fully combining the data mining technology, the proposed method is more effective and more efficient. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Data mining

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Distributed or Centralized: An Experimental Study on Spatial database Systems for Processing Big Trajectory Data

Distributed or Centralized: An Experimental Study on Spatial...

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IEEE international conference on Big Data Analysis (ICBDA)

作者： Shuyi Xiong Xue Ouyang Wei Xiong College of Electronic Science NUDT Changsha Hunan China College of Electronic Science National University of Defense Technology (NUDT) Changsha Hunan China

the continuous development of GPS-enabled equipments and location-based services has brought new challenges to the storage and management of trajectory big data. Traditional database system such as PostgreSQL/PostGIS to cope with this demand. Meanwhile, distributed trajectory management systems based on NoSQL have attracted increasing attention from both industry and acdemia. However, to the best of our knowledge, there are not many reseach discussing the comparision of these systems. this paper aiming at filling this gap by comparing the performance of the representitive relational database component PostGIS and the distributed NoSQL data management system GeoMesa in various range query and multi concurrent access scenarios through experimental analysis. the experimental results show that GeoMesa outperforms the relational spatial database component PostGIS in the large number of access results and multi-user access scenarios.

关键词： Industries Distributed databases Relational databases Big Data Spatial databases database systems Filling

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database Design in the Infrastructure Information Management System

Database Design in the Infrastructure Information Management...

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6th international conference on Intelligent Computing and Signal Processing (ICSP)

作者： Guotao Bai Chao Li Kaifeng Cui Jing Zhou Weilong Wu China Mobile Information Technology Co. Ltd Beijing China

this paper presents the design idea of building the infrastructure information management system based on remote sensing data. With the characteristics of the systems massive remote sensing data and the comprehensive application problem of heterogeneous data, unify the design specifications of the database is the most important. then several data tables are designed by category. Finally some key technologies such as data storage are discussed . this infrastructure information management software has solved the problem of smoothly and quickly call of the massive underlying and heterogeneous data. It has realized the functions of infrastructure plotting, process supervision, statistical analysis and two-dimensional and three-dimensional visualization. this system has been applied in the professional domain to improve the work efficiency.

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Large-Scale Concurrency for MySQL database Performance Analysis

Large-Scale Concurrency for MySQL Database Performance Analy...

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Advanced Algorithms and Control Engineering (ICAACE), international conference on

作者： Jiaqi Zhao Min Li School of Artificial Intelligence Tianjin University of Science and Technology Tianjin China

ISBN: (数字)9798331535087

ISBN: (纸本)9798331535094

In contemporary software development, database performance significantly influences the stability, scalability, and responsiveness of applications. With the growing complexity of application scenarios and the continuous rise in concurrent access, performance testing has become a crucial technical component for ensuring the efficient operation of databases. As a widely used relational database, optimizing the performance of MySQL is essential to meet high-load business requirements. this paper systematically explains how to use LoadRunner to evaluate the performance of MySQL databases from both theoretical and practical perspectives. the content covers the whole process from the formulation of test plans, the development and optimization of scripts, the design of test scenarios, to the execution of performance tests and the analysis of results, and analyzes the identification and optimization strategies of database performance bottlenecks in combination with actual cases. through reasonable test design and scientific analysis methods, it aims to provide the development team with a set of operable and replicable database performance testing and optimization solutions to help improve the stability and overall performance of the database and provide strong support for the efficient operation of modern applications.

关键词： Concurrent computing databases Systems architecture throughput Stability analysis Planning Time factors Optimization Testing Software development management

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database Design for Pre-Eclampsia Case Administration

Database Design for Pre-Eclampsia Case Administration

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Information technology and Digital Applications (ICITDA), IEEE international conference on

作者： Faisal Asadi Gregorius Natanael Elwirehardja Joko Pebrianto Trinugroho Reza Rahutomo Bens Pardamean Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia Information System Department School of Information Systems Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia

the Ministry of Health of Indonesia has referred to pre-eclampsia as one of the most severe diseases affecting women. As an urgency, it is crucial to administrate pre-eclampsia cases for disease prevention as a long-term national healthcare strategy. Regarding health science, case data was significant in developing research and innovation. However, the main problem regarding pre-eclampsia case administration is data handling, recording, and management incompetence. Hence, this research proposed a conceptual design of a database for pre-eclampsia case administration. the proposed design covered conceptual, logical, and physical design. We elaborate the concept into three concepts of pre-eclampsia disease: pre-treatment, treatment, and post-treatment. this study proposed a solution to gain more data and study pre-eclampsia disease in Indonesia.

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Few-Cell Culture Monitoring and Analysis in Real-Time Using the Lensless Imaging System

Few-Cell Culture Monitoring and Analysis in Real-Time Using ...

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international conference on Image, Vision and Computing (ICIVC)

作者： Jinzhou Hu Ningmei Yu Dian Tian Jihui Yu Xucheng Liu Yichen Di College of Automation and Information Engineering Xi'an University of Technology Xi'an China International Enginnering College Xi'an University of Technology Xi'an China

For cell culture processes that are time-consuming to observe and analyze manually and prone to bacterial contamination. this paper presents a method for monitoring and realtime analysis of small numbers of cells in culture that combines lensless imaging techniques with microfluidics. the method uses microfluidics to create the microcavity environment required for cell growth, and images of the cells are taken at regular intervals using a lensless holographic imaging system. Information on the morphology, size, position, and number of cells is obtained by autofocus and holographic reconstruction of the collected hologram. A cell growth database is created based on all the image frame data. Finally, the growth database is post-processed to provide information such as cell growth and proliferation curves, trajectory tracking, and temperature and humidity profiles of the system environment. By monitoring the yeast in culture for 10 hours, a database of cell growth at 2-minute intervals was created, further growth curves for the yeast were obtained, and the cells were successfully tracked. the method's validity has been verified in this paper, providing a new solution for fully automated culture monitoring and analysis of small numbers of cells.

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