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检索条件"任意字段=Proceedings of the 2023 5th International Conference on Big Data Engineering and Technology"

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5th international conference on Recent Trends in Computer Science and technology, ICRTCST 2024 - proceedings

5th International Conference on Recent Trends in Computer Sc...

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5th IEEE international conference on Recent Trends in Computer Science and technology, ICRTCST 2024

ISBN: (纸本)9798350351378

the proceedings contain 122 papers. the topics discussed include: integrating deep Q-networks and YOLO with autonomous robots for efficient warehouse management;machine learning and end to end deep learning for detection of chronic heart failure from heart sounds;the role of IoT in revolutionizing payment systems and digital transactions in finance;ai-optimized hardware design for Internet of things (IoT) devices;electricity load prediction using ai;big data with cloud computing model for customer need identification in e-commerce industry;artificial neural networks for weld joint strength prediction in various welding techniques;enhancing data privacy in IoT cloud environments with trust management;and electric vehicle injected AC microgrid frequency stability study: an optimal fuzzy control approach.

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Underwater metal identification method based on PSO-BP neural network 5

Underwater metal identification method based on PSO-BP neura...

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5th international conference on big data and Artificial Intelligence and Software engineering, ICBASE 2024

作者： Pang, Xueliang Zhang, Minghang Yang, Nianci Wuhan Institute of Technology School of Electrical Engineering and Information Hubei Wuhan China

ISBN: (纸本)9798331506612

there will be an eddy current effect between the energized coil and the nearby metal conductor, and different metals have different conductivity and permeability, so that the equivalent impedance of the corresponding detector coil is different. In this paper, the capacitance and inductance parallel oscillation circuit is used to convert the change of coil equivalent impedance into voltage signal, and the neural network identification model is obtained through off-line training, so as to identify metal types. In this paper, a set of experimental device for eddy current metal type identification based on single-chip microcomputer system as the core is designed. the results show that the identification method of PSO-BP neural network and eddy current technology can effectively identify metal types, which lays a theoretical foundation for the popularization and application of intelligent metal detectors. © 2024 IEEE.

关键词： Eddy current testing

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Research on the design of network security system for natural resources big data platform based on zero-trust architecture 5

Research on the design of network security system for natura...

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5th international conference on Computer Communication and Network Security, CCNS 2024

作者： Li, Rudong Cao, Xinyuan Kunming General Survey of Natural Resources Center China Geological Survey Yunnan Kunming650111 China

ISBN: (纸本)9781510681842

the natural resources big data platform was constructed using cloud technology, IoT, 5G, and other technologies to integrate and utilize various operational resources of natural resources-related departments. the platform has real-time connectivity to field hand-held devices, observation stations, monitoring facilities, and other terminals, enabling the convergence, management, and sharing of a large amount of sensitive data within the organization. the protection of network security for the natural resource big data platform is complex and challenging, with a significant risk of data leakage. therefore, it is crucial to propose more effective security solutions. this paper analyzes the architecture and implementation of a zero-trust network security system for the natural resource big data platform. It explores the design path of the network security system based on the zero-trust architecture and proposes a design scheme to meet remote access. © 2024 SPIE.

关键词： Information leakage

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big data with Cloud Computing Model for Customer Need Identification in E-Commerce Industry 5

Big Data with Cloud Computing Model for Customer Need Identi...

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5th IEEE international conference on Recent Trends in Computer Science and technology, ICRTCST 2024

作者： Mahajan, Kirti Bordoloi, Dibyhash Barboza, Coral Bansal, Divya Madhava Rao, B. Sri Varshini, S. Bharati Vidyapeeth Deemed University Institute of Management & Entrepreneurship Development Department of Information Technology Pune411030 India Graphic Era Deemed to be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India Amity University Department of Management Noida India St. Martins Engineering College Department of Computer Science and Engineering Telangana Secunderabad500100 India New Horizon College of Engineering Department of Mechanical Engineering Bangalore560103 India

ISBN: (纸本)9798350351378

In this study, we investigate how big data and Cloud computing can work together to better understand what online shoppers really want. the proliferation of e-commerce has increased the importance of listening to and meeting the requirements of customers. this research utilizes a wide variety of data sources to perform descriptive and predictive analysis, including customer transaction records, website clickstream data, customer reviews, and social media interactions. the prediction model's impressive prognostic accuracy may be attributed to its incorporation of client demographics, historical purchase history, and sentiment analysis. Text mining and natural language processing (NLP) are proven to provide insights from consumer input, while cloud computing architecture is shown to increase operational efficiency and scalability. In this paper, we explore how E-commerce enterprises may benefit from this game-changing technology by improving their customer service, cutting costs, and gaining an edge in the market. Business leaders, data scientists, cloud providers, academics, and the public all stand to gain from this study's findings. Future research directions that hold promise for keeping the E-commerce landscape at the cutting edge of innovation and customer-centric strategies include advanced deep learning techniques;real-time customer need identification;data privacy;scalability;cross-channel analysis;and industry benchmarking. © 2024 IEEE.

关键词： big data

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Factors Influencing data Management Tool Evaluation 5

Factors Influencing Data Management Tool Evaluation

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5th technology Innovation Management and engineering Science international conference, TIMES-iCON 2024

作者： Eakvorachai, Niracha Sa-Nga-Ngam, Prush Technology of Information System Management Division Faculty of Engineering Mahidol University Thailand

ISBN: (纸本)9798350362602

this paper proposes a methodology for selecting data management tools. It emphasizes a three-pronged approach: evaluating functionalities against standards, ensuring security compliance, and incorporating third-party assessments. Additionally, it advocates for considering the tool's past performance in real-world deployments. this comprehensive approach aims to empower organizations to make informed decisions in selecting tools that align with their needs and industry trends. ©2024 IEEE.

关键词： data consistency

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big data Analytical for Sustainable Information Quality in an Emerging Market 5

Big Data Analytical for Sustainable Information Quality in a...

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5th international conference on Industry 4.0 and Smart Manufacturing (ISM)

作者： Leal de Paula, Ilan Rodrigo Rodrigues, Joao Victor Oliveira, Selma R. M. Fluminense Fed Univ Volta Redonda RJ Brazil

Sustainability-oriented decision-making requires adequate information and dedicated information technology support. However, integrating economic, social and environmental information requires a new understanding of how data is collected and shared among stakeholders. Ensuring the quality of sustainable information will depend on capabilities to collect and analyze large-scale data. While the potential benefits of digital technologies and sustainability have been widely publicized in the cutting-edge literature, little is known about the analytical capabilities of big data and sustainable information. this study aims to examine the prominence of big data analytical capabilities for sustainable information quality in an emerging market, in this case, Brazil. A scalar-type questionnaire was used to collect primary data from Brazilian multinational companies. the results indicate that big data analytical capabilities are substantive for sustainable information quality. this study is original, fills a gap in the literature and makes significant contributions: (a) sheds light on the prominence of big data analytical capabilities for sustainable information quality (b) signals the relevance of intangible capabilities;(c) serves as a guide for managers in deciding on priority capabilities to improve the quality of sustainable information directed to stakeholders;(d) ex-tends existing studies on analytical capabilities of big data and sustainable information quality;(e) shows that big data analytical capabilities bring benefits to support sustainable information quality in emerging markets;and finally (f) this research contributes to the literature on sustainable information and digital trans-formation with emerging technologies.

关键词： digital transformation big data analytical capabilities sustainable information quality emerging economy

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Visual analytics of the current status and trends in artificial intelligence education based on big data 24

Visual analytics of the current status and trends in artific...

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5th international conference on Computer Science and Management technology, ICCSMT 2024

作者： Chen, Yinhong Chen, Yuefeng College of Mathematics and Computer Guangdong Ocean University Guangdong Zhanjiang China

ISBN: (纸本)9798400709999

More researchers are starting to focus on the intersection of artificial intelligence and education as a result of the technology's ongoing advancements. the paper conducts a thorough analysis of the research hotspots, and development lineage in international artificial intelligence education over the last ten years using the visualization analytic tools VOSviewer and CiteSpace. the following findings are obtained from the analysis of keyword co-occurrence and clusters: the flipped classroom, dropout prediction, and large language models are the main subjects of international research on artificial intelligence;the practical application of artificial intelligence in education, ethical and moral challenges, and the realization of the successful integration of intelligent technology and ideological and political education are the main research trends of future. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Visual analytics

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Highway engineering Information technology Based on Spatio-temporal big data 5

Highway Engineering Information Technology Based on Spatio-t...

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5th international Academic Exchange conference on Science and technology Innovation, IAECST 2023

作者： Zhang, Shilei Huang, Tianli Yin, Wanyun Xie, Lanmin Central South University School of Civil Engineering Hunan Province Changsha City China China MCC17 Group Co. Ltd Anhui Province Maanshan City China

ISBN: (纸本)9798350357738

Space-time big data, represented by space-space integration, combines GIS, remote sensing, tilt photography, BIM and Internet of things, and is an important driving force for the development of highway information. However, at present, China's highway design code still adopts two-dimensional drawings as the design and delivery standards. that leads to the lack of the information management technology for large-scale highway construction based on space-time big data. In order to solve the above problems, this paper expounds the technical framework of spatio-temporal big data, which is composed of geographical modeling, geographical design, geographical monitoring and geographical control, and puts forward some key technologies such as geographical information, BIM and tilt photography, etc., the paper also introduces the experience and thinking of the application of road information technology based on BIM in the design and construction of G30 project, the advantages of applying BIM and GIS to the field of highway engineering design and construction in our country are revealed. Compared with the current highway design and construction management methods, the advantages of the proposed method are the whole process of collaborative work and the efficient control of the whole process. this laid a foundation for the further development of highway information technology and application by combining remote sensing, tilt photography and other advanced technologies. © 2023 IEEE.

关键词： big data

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A Review of Key Technologies for Time-Series data Storage in Embedded Environments 5

A Review of Key Technologies for Time-Series Data Storage in...

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5th international conference on big data and Artificial Intelligence and Software engineering, ICBASE 2024

作者： Yuan, Zelan Ren, Dewang Zhao, Yao Wang, Yuyan Aeronautics Computing Technology Research Institute Xi'an China

ISBN: (纸本)9798331506612

this article delves into the key technologies for time-series data storage in embedded environments. Time-series data, arranged in chronological order, is crucial for various applications such as IoT, finance, and industrial monitoring. Time Series databases (TSDBs) excel in managing large-scale, high-frequency time-series data, leveraging column-store storage and partitioning techniques for efficient data compression and accelerated query speeds. However, deploying TSDBs in embedded systems poses challenges due to resource constraints, real-time requirements, and low power consumption needs. the article analyzes existing TSDB data models and data structures, focusing on cost-effective historical data storage and handling out-of-order data to reduce storage space and conserve computational resources. It highlights the challenges for adapting TSDBs to embedded environments. © 2024 IEEE.

关键词： data assimilation

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Evolution of big data Adoption in Industries Using TOPSIS Method 5

Evolution of Big Data Adoption in Industries Using TOPSIS Me...

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5th international conference on Sustainable Communication Networks and Application, ICSCNA 2024

作者： Sharma, Himanshu Singh, Juginder Pal Gore, Santosh Sathawane, Neerajkumar Golhar, Roshni S. Swami, Vishwajeet Madhav GLA University Department of Computer Engineering & Applications Mathura India Sai Info Solution Maharashtra Nashik India Rajarshi Shahu College of Engineering MH Pune India Suman Ramesh Tulsiani Technical Campus Kamshet Pune India Dr. D. Y. Patil Institute of Pharmaceutical Sciences & Research Pimpri Pune411018 India

ISBN: (纸本)9798331530013

big data Adoption represents an essential method for corporations aiming to enhance productivity and manage patron demands extra effectively. Despite its developing significance, there remains a lack of comprehensive reviews and classifications of current research on this subject matter. Industry leaders have found that digitalization, driven through declining technological charges, has made big data an outstanding focus in information technology and finance. Recent facts highlight a global growth in big data investments, signaling its growing importance inside the enterprise area. However, the route to a successful adoption is complex and requires time, notwithstanding the promise of multiplied velocity and efficiency. big data refers to great and complex datasets that conventional data control equipment war to address. Its price lies not simply in its quantity or velocity but in its reliability and effectiveness for processing and evaluation. Key elements influencing big data adoption consist of compatibility, complexity, perceived advantages, technological assets, trialability, privacy and protection, and records fine. the TOPSIS method is identified as an effective device for evaluating big data solutions, as it allows for evaluating alternatives primarily based on distance metrics. Findings indicate that security and privacy are paramount issues, whilst facts satisfaction and integration are less important but still vital. As big data continues to conform, agencies ought to navigate those elements to leverage their full ability and gain strategic advantages. © 2024 IEEE.

关键词： Decentralized finance

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