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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21-30 订阅

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Research on the international Competitiveness of China's New Energy Vehicles Industry Based on Diamond Model 8

Research on the International Competitiveness of China's New...

引用

8th IEEE international conference on Energy Internet, ICEI 2024

作者： Wang, Zixing Su, Hongyu Hou, Hanfang China National Institute of Standardization Beijing China

ISBN: (纸本)9798331523558

Under the wave of a new round of scientific technological and industrial revolution, enhancing the international competitiveness of China's new energy vehicles industry is the only way for China to move from an automobile power to an automobile power. Based on the export data of new energy vehicles from 2017-2023 in the UNcomtrade database, this paper measures and compares the international competitiveness of China's new energy vehicle industry with the international Market Share(IMS) and the Revealed Comparative Advantage(RCA) index, and analyzes the main factors affecting the international competitiveness of China's new energy vehicles based on the diamond model. the results show that the international market scale of China's new energy vehicles industry is continuously expanding, and it has a strong international competitiveness. At the same time, the per capita GDP is low, the technology of high-end chips of the motor drive system lags behind the international advanced level, and the domestic replacement of high-speed bearing stability of the drive motor is slow, which restricts the international competitiveness of China's new energy vehicles. Based on this, this paper puts forward countermeasures and suggestions to improve the technical level of key industrial chain links of new energy vehicles, optimize the allocation of natural resources, and release the potential of the domestic demand market. © 2024 IEEE.

关键词： international trade

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2023 IEEE 8th international conference on Big Data Analytics, ICBDA 2023

2023 IEEE 8th International Conference on Big Data Analytics...

引用

8th IEEE international conference on Big Data Analytics, ICBDA 2023

ISBN: (纸本)9798350310764

the proceedings contain 34 papers. the topics discussed include: select-them-repair-them: automatically optimize pseudocode-to-code data;distributed or centralized: an experimental study on spatial database systems for processing big trajectory data;engineering large wearable sensor data towards digital measures;multi-task federated learning medical analysis algorithm integrated into adapter;style semantic disentangle network for multi-source domain generalization;how does big data in tax administration limited corporate earnings management;generalized Weierstrass-Mandelbrot with disturbance for big data applications in economic and financial systems;research on basic clinical treatment pattern mining based on electronic medical record big data;and a survey on application of blockchain technology in drug supply chain management.

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Few-Cell Culture Monitoring and Analysis in Real-Time Using the Lensless Imaging System 8

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

引用

8th international conference on Image, Vision and Computing, ICIVC 2023

作者： Hu, Jinzhou Yu, Ningmei Tian, Dian Yu, Jihui Liu, Xucheng Di, Yichen 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

ISBN: (纸本)9798350335231

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. © 2023 IEEE.

关键词： Cell culture

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Server Load Balancing Using Linux 8

Server Load Balancing Using Linux

引用

8th Annual international conference on Network and Information Systems for Computers, ICNISC 2022

作者： Chen, Chunyan Beijing Information Technology College Beijing China

ISBN: (纸本)9781665453516

Linux virtual server (LVS) uses load balancing technology to connect several servers into a virtual server, which can provide a convenient, practical and low price processing measure to meet the rapidly increasing network usage. Based on the full consideration of enterprise services, this design discusses how to build a highly available load balanced enterprise server cluster environment under Linux. In the design, the enterprise's web server adopts the lamp environment. Kept and LVS can realize the enterprise's highly available load balancing web server cluster, use MySQL dual host to realize the automatic backup of the database, and realize the automatic jump of the database in the case of single point of failure of the database through mysql-ha cluster. © 2022 IEEE.

关键词： database systems

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NexusDB: A Large-Scale Distributed Time-Series database for Industrial Scenarios 8th

NexusDB: A Large-Scale Distributed Time-Series Database for ...

引用

8th international Joint conference on Web and Big Data and Web-Age Information Management (APWeb-WAIM)

作者： Ding, Linlin Chzhen, Di Yuan Li, Yuda Zhang, Zhiyong Xie, Zhiran Li, Mo Liaoning Univ Sch Informat Shenyang Peoples R China

ISBN: (纸本)9789819772438;9789819772445

With the development of Industrial Internet of things (IIoT) and sensor technology, the speed and volume of data generation in industrial environments are rapidly *** these settings, sensors continuously generate large volumes of data, traditional databases often fall short due to their focus on generality rather than continuous data flow. We propose NexusDB, a distributed time-series database tailored for such environments. NexusDB optimizes storage structures and query execution, offering streamlined architecture, high performance, minimal footprint, and robust distribution capabilities. Experimental results show that NexusDB significantly outperforms conventional time-series databases in both data insertion and querying, particularly in large-scale scenarios.

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Preserving Individual Privacy from Inference Attack in Transaction Data Publishing 8

Preserving Individual Privacy from Inference Attack in Trans...

引用

8th international conference on Informatics and Computing, ICIC 2023

作者： Gunawan, Dedi Priyawati, Diah Nugroho, Yusuf Sulistyo Irsyadi, Fatah Yasin Al Andreansyah, Ilham Islam, Syful Universitas Muhammadiyah Surakarta Department of Informatics Engineering Surakarta Indonesia BSMR Science and Technology University Department of CSE Gopalganj Bangladesh

ISBN: (纸本)9798350342604

Recently, industries such as retail and e-commerce companies have collaborated in analyzing transaction databases. It is suggested that the activity can bring various benefits for the companies since hidden information can be revealed from the analysis processes. Understanding the reality that the transaction database is more likely to contain sensitive information such as personal sensitive information, a measure to protect the sensitive information before the data is shared among parties is becoming more crucial. the sensitive information can be leaked by an attacker using an inference attack technique. An approach called a data anonymization scheme that alters an original database to preserve sensitive information can be employed to hinder the attack. Several existing approaches have been suggested to prevent the attack by anonymizing databases. However, it excessively modifies the database in protecting the sensitive information. Consequently, the modified database loses its data utility and changes the database properties significantly. In this paper, we propose a data anonymization method for preserving sensitive information from inference attacks while reducing the amount of data utility loss and maintaining database properties. Experiment evidence suggests that the proposed method outperforms an existing approach which based on global suppression technique i.e., direct algorithm. © 2023 IEEE.

关键词： database systems

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Quantitative Dynamic Scalability Model and Analysis of Blockchain database System 8

Quantitative Dynamic Scalability Model and Analysis of Block...

引用

8th international conference on Data Science in Cyberspace, DSC 2023

作者： Wei, Jiacheng Wang, Qingmei Wang, Zheng University of Science and Technology Beijing National Center for Materials Service Safety Beijing China Institute of Cyber Science and Technology Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Integrated Administration Technologies for Information Security Shanghai China

ISBN: (纸本)9798350331035

the scalability of blockchain database systems has garnered considerable attention. this paper introduces a quantitative dynamic scalability (QDS) model and presents two metrics: throughput growth (TG) following an increase in available resources, and the number of resources that users find acceptable under the maximum latency (UL) level. the TG model's calculation necessitates the slope of throughput growth versus available resources, which can be determined using the universal scalability law (USL) model. We found that the non-sharded blockchain database cannot be entirely fitted and that the USL model cannot provide accurate slope values. therefore, we developed a novel universal scalability law plus (USL+) model based on the classic USL model. Regarding the experimental evaluation, we verified the USL+'s less accuracy, particularly with a roughly 52% relative error (USL) and a 15% relative error (USL+) for larger node numbers. We then numerically simulated the QDS model and examined the impact of different data sets, finding that the error was smaller with more similar configurations. Finally, we investigated different protocols using the QDS algorithm and found that RingBFT's scalability was better with only two shards, while SharPer was better with 50 shards. © 2023 IEEE.

关键词： Blockchain database scalability

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database Design for Pre-Eclampsia Case Administration 8

Database Design for Pre-Eclampsia Case Administration

引用

8th international conference on Information technology and Digital Applications, ICITDA 2023

作者： Asadi, Faisal Elwirehardja, Gregorius Natanael Trinugroho, Joko Pebrianto Rahutomo, Reza Pardamean, Bens School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Bina Nusantara University Bioinformatics and Data Science Research Center Jakarta11480 Indonesia School of Information Systems Bina Nusantara University Information System Department Jakarta11480 Indonesia Bina Nusantara University Binus Graduate Program Master of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350344691

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. © 2023 IEEE.

关键词： Medical informatics

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Research on the Intelligent Acquisition and Mining technology of Metadata Based on Electric Power database 8

Research on The Intelligent Acquisition and Mining Technolog...

引用

8th IEEE international conference on Smart Cloud, SmartCloud 2023

作者： Lou, Yiting Huang, Zhi Ke, Fangyuan Li, Jiaqin Zhang, Zhizhen Chen, Yingyang State Grid Ningbo Electric Power Supply Company Ningbo China

ISBN: (纸本)9798350313505

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. ©2023 IEEE.

关键词： Metadata

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ReSLB: Load Balanced Workflow for Distributed Deep Learning Mass Spectrometry database 24

ReSLB: Load Balanced Workflow for Distributed Deep Learning ...

引用

24th IEEE international conference on High Performance Computing and Communications, 8th IEEE international conference on Data Science and Systems, 20th IEEE international conference on Smart City and 8th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Mocheng, Li Yang, Liu Yang, Ou Zhiguang, Chen Nong, Xiao Tao, Chen College of Computer National University of Defense Technology Institute for Quantum Information State Key Laboratory of High Performance Computing Changsha China College of Computer National University of Defense Technology Changsha China School of Computer Sun Yat-sen University Guangzhou China Beijing China

ISBN: (纸本)9798350319934

the proteomics data analysis pipeline based on the shotgun method requires efficient data processing methods. the parallel algorithm of mass spectrometry database search faces the problems of rapidly expanding database size but low scalability. the heterogeneous database search algorithm based on deep learning is an effective way to solve this problem. Still, the deep learning-based distributed parallel database search algorithm is lacking. this paper analyzes the database searching computational load using a neural network and designs ReSLB, a workflow for the restricted search of mass spectrometry data based on GPU cluster and neural network scoring algorithm. this work aims to ensure the high scalability of future deep learning-based mass spectrometry distributed databases. In the performance estimation of 256 GPUs, the load imbalance of less than 30% and the parallel efficiency of 60% are achieved. Compared with state-of-the-art, the time cost is reduced by 75%, and the parallel efficiency from 1 to 256 GPUs is 3.6x higher than that. © 2022 IEEE.

关键词： Mass spectrometry

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