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检索条件"任意字段=5th IEEE International Conference on Big Data Intelligence and Computing, DataCom 2019"

共 603 条记录，以下是121-130 订阅

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Executive compensation and corporate environmental violations: An empirical analysis based on big data of Chinese listed companies 5

Executive compensation and corporate environmental violation...

引用

5th international conference on data Science and Information Technology, DSIT 2022

作者： Zhou, Yuxin Yang, Ruoxuan Zhu, Chengcheng Business School Central South University Changsha410017 China

ISBN: (数字)9781665498685

ISBN: (纸本)9781665498685

According to upper echelon theory, managers play an important role in the decision-making process of enterprises, and reasonable compensation level is also conducive to high-quality development of enterprises. this paper constructs the panel data of China's listed companies from 2009 to 2019 to study whether executive compensation can restrain corporate environmental violations. the empirical analysis shows that: firstly, executive compensation level can significantly restrain corporate environmental violations, and the research conclusion is still robust after substituting proxy variables, controlling for other factors and changing the regression model;secondly, the level of executive compensation inhibits corporate environmental violations by improving their awareness of environmental responsibility;thirdly, in enterprises with weak financing constraints, executive compensation level has a stronger restraining effect on corporate environmental violations. the conclusion provides a new research perspective for restraining corporate environmental violations. In the actual operation of enterprises, attention should be paid to cultivating senior executives' awareness of environmental responsibility. © 2022 ieee.

关键词： big data

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Development Road Map and Planning Mode of Artificial intelligence Technology Under the Background of Internet Information 5th

Development Road Map and Planning Mode of Artificial Intelli...

引用

5th EAI international conference on 6G for Future Wireless Networks, 6GN 2022

作者： Tang, Zheqing Sun, Xiqiang Luo, Yang School of Information Engineering Heilongjiang Vocational College Harbin150022 China

ISBN: (纸本)9783031360138

With the progress of various software and hardware technologies, the data processing and computing power of the computer are further enhanced. Artificial intelligence technology has entered a period of rapid development. the current "Internet + " boom and the continued prosperity of the big data industry have further accelerated the integration of artificial intelligence technology with other related industries. this paper summarizes the Internet information, static information collection technology and artificial intelligence technology, analyzes the neural network, puts forward RRT path planning, and studies the pheromone increment dynamic update strategy. the results show that when LK is less than lbest, the increase of the difference will sharply increase the pheromone increment on the path, which makes the algorithm easy to fall into local optimization. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： data handling

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Multifactor Recommendation-based Video Caching Strategy in Mobile Edge computing 21

Multifactor Recommendation-based Video Caching Strategy in M...

引用

21st ieee international conference on Ubiquitous computing and Communications / 5th ieee international conference on data Science and Computational intelligence / 21st ieee international conference on Computer and Information Technology

作者： Liu, Qian Wu, Ying Liu, Qilie Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing 400065 Peoples R China Chongqing Key Lab Mobile Commun Technol Chongqing 400065 Peoples R China Minist Educ Mobile Commun Technol Key Lab Chongqing 400065 Peoples R China

ISBN: (纸本)9781665477260

Mobile edge computing (MEC) can provide users with high-quality video services by placing computing and storage capacity close to the user. Transferring large size video files usually consumes more time and energy, and the emergence of edge caching can effectively solve this problem. Current caching schemes generally consider the impact of only one or two factors among attributes such as ratings and reviews, without considering the impact of multiple factors together on the recommender system. In this paper, we propose a video caching strategy based on multi-factor recommendation (VCSMFR) to solve the above problem. First, the video file ratings and corresponding rankings are obtained by a recommendation algorithm that fuses multi-factor data (e.g., reviews, directors, and actors). then, an optimized particle swarm algorithm is used to make caching decisions for files stored on the edge MEC server to solve the problem that traditional particle swarm algorithms are prone to local convergence. Simulation results show that the recommendation algorithm proposed in this paper can analyze user and video information more carefully by fusing multiple factors, and improve the cache hit rate by 11% over the traditional caching scheme. In addition, the greedy algorithm is introduced into the optimized particle swarm algorithm, which improves the local search ability as well as the convergence of the algorithm and achieves faster caching decisions.

关键词： mobile edge computing recommender systems video caching particle swarm algorithm multi-factor recommendations

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conference Committee

Conference Committee

引用

big data intelligence and computing (datacom), 2019 ieee 5th international conference on

Provides a listing of current committee members and society officers.

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Electric vehicle charging load forecasting based on ownership 21

Electric vehicle charging load forecasting based on ownershi...

引用

作者： Deng, Li Lei, Guoping Dai, Nina Li, Shenghao Chongqing Three Gorges Univ Sch Elect & Informat Engn Chongqing 404130 Peoples R China Chongqing Vocat Inst Engn Sch Big Data & Internet Things Chongqing 402260 Peoples R China

ISBN: (纸本)9781665477260

Under the guidance of national policies, the number of electric vehicles has shown a sudden growth. therefore, to achieve friendly interaction between electric vehicles and the power grid at the information technology level, this paper introduces an impact factor in the Gray Model (GM (1,1)) to obtain the change of electric vehicle ownership under the guidance of policy. through experimental comparison, it is found that the optimized model has improved its accuracy compared with the previous model. the charging characteristics of electric taxis, electric buses, and electric private cars are analyzed, then the Monte Carlo method is applied to quantize the charging load requirements of electric vehicles at different penetration rates. In addition, the results show that under high permeability, the load pressure on the grid will increase by six percent on the peak.

关键词： electric vehicle grey prediction model ownership Monte Carlo

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A Two Dimensional Feature Engineering Method for Relation Extraction 5

A Two Dimensional Feature Engineering Method for Relation Ex...

引用

5th international conference on Control, Robotics, and Intelligent System, CCRIS 2024

作者： Wang, Hao Chen, Yanping Yang, Weizhe Lin, Chuan Text Computing & Cognitive Intelligence Engineering Research Center of National Education Ministry Huaxi District Guizhou China State Key Laboratory of Public Big Data Huaxi District Guizhou China Guizhou University Huaxi District Guizhou China

ISBN: (数字)9781510685871

ISBN: (纸本)9781510685864

Transforming a sentence into a 2D representation, similar to table structures, reveals a semantic plane where elements can represent potential relations between paired entities. the 2D representation effectively addresses the common issue of overlapping relations. However, previous works directly transformed the representation from raw input, neglecting the utilization of prior knowledge, which is essential to support the entity relation extraction task. In this paper, we propose a 2D feature engineering method. the method innovatively integrates prior knowledge within 2D sentence representations, marking an advancement over previous strategies, and employs an attention mechanism to build the hitherto overlooked association between entities and prior knowledge. the fusion of prior knowledge and targeted attention enhances the model’s relational discernment capabilities. Evaluations on three benchmark datasets—ACE05 Chinese, ACE05 English, and CLTC—demonstrate the efficacy of the proposed method. It surpasses existing techniques, achieving state-of-the-art performance with F1 score improvements of 0.88%, 3.27%, and 2.83% respectively. the results indicate that 2D feature engineering can take advantage of a 2D sentence representation and make full use of prior knowledge. © 2024 SPIE.

关键词： Semantics

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Optimizing Read Performance in Lightweight Blockchain with Cooperative Storage Scheme 5

Optimizing Read Performance in Lightweight Blockchain with C...

引用

5th international conference on Blockchain computing and Applications, BCCA 2023

作者： Wang, Han Li, Hui Wang, Zixian Zhao, Feng Yao, Yao Chen, Yuhong Qin, Tuanfa Lu, Ping Shi, Jiaoli School of Electronic and Computer Engineering Peking University Shenzhen China School of Computer and Big Data Science Jiujiang University Jiujiang China Co. LTD Beijing China School of Computer and Electronic Information Guangxi University Nanning China ZTE Corporation Shenzhen China

ISBN: (纸本)9798350339239

As a popular and innovative technology in fields including digital currencies and the Internet of things, blockchain provides decentralized and immutable trust to multiple parties through an append-only chained structure and redundant replicas. However, the increasing length of the blockchain leads to extreme storage costs. While some lightweight storage schemes compress block data on-chain, most of them suffer from poor generality, limited compression capabilities, and imperfect read performance. To alleviate these issues, we propose a cooperative storage scheme as a lightweight solution for resource-limited blockchains. It incorporates a history-based node assignment mechanism and a timeline-based adaptive read mechanism to reduce the decoding probability when accessing transactions. the former maps chunks of erasure codes to nodes based on their history scores, while the latter redundantly caches blocks at certain nodes for easy access. Experiments demonstrate that the proposed scheme actively mitigates the influence of anomalous nodes on read requests. In contrast to typical schemes, it achieves extremely low read time with less storage cost, which is especially valuable in the long term. © 2023 ieee.

关键词： Blockchain

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Artificial intelligence Based Rural E-Commerce Boosting Using big data 5

Artificial Intelligence Based Rural E-Commerce Boosting Usin...

引用

5th international conference on Contemporary computing and Informatics, IC3I 2022

作者： Roy, Saumi Salve, Archana Ravindra Shah, Jaymin Arvind Kadam, Sanjeev Muda, Iskandar Dash, Manoranjan Horizon College of Engineering Department of Management Studies New Bengaluru India MBA Faculty Indira College of Engineering and Management Maharashtra Pune India Amity University Amity Business School Mumbai India Pune India Universitas Sumatera Utara Faculty Economic and Business Department of Doctoral Program Jl. Prof TM Hanafiah 12 Medan20222 Indonesia USU Campus Padang bulan Medan20155 Indonesia Siksha O Anusandhan Deemed to Be University Ghatikia Kalinga Nagar Odisha Bhubaneswar India

ISBN: (纸本)9798350398267

Following 40 years of reform and opening up, India's economy has achieved a new peak, with rural ecommerce emerging as a key driver of this expansion. As the state's policy continues to develop to encourage rural ecommerce, the sector has opened up a big historical opportunity, with the size of the market growing and the sector's social awareness rising rapidly. With the widespread use of big data networks, big data-driven, AI-powered e-commerce has also grown rapidly in recent years. the use of electronic commerce is more common in urban regions than in rural ones. As part of the plan for 'revitalizing the countryside,' widespread use of ecommerce in rural regions will be a major step toward bolstering the rural economy. the growth of this route has the potential to strongly encourage the modernization of antiquated production techniques in rural regions while also improving the accessibility and efficiency of the flow of agricultural goods inside India and so facilitating their eventual export. the third-party distribution model was used as the logistics approach, and agricultural items from Mysore City, such as paddy and vegetables, served as the primary research objects to illustrate the utility of the Novel Colony Algorithm in the context of rural e-commerce. the issue of the third-party distribution model is examined through the process of model building. In light of this, PyCharm is used to determine the shortest path and total cost using a novel colony algorithm. In this research, we evaluate the models and conduct analyses of the efficiency and cost issues that arise when changing the parameters. © 2022 ieee.

关键词： big data

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Insurance Product Recommendation Based on Neural Network 5

Insurance Product Recommendation Based on Neural Network

引用

5th international conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2022

作者： Wang, Hongxia Yu, Haopeng Anhui Xinhua University School of Big Data and Artificial Intelligence Heifei China

ISBN: (数字)9781665484749

ISBN: (纸本)9781665484749

the development of modern insurance industry is more and more closely related to artificial intelligence, but the update of basic insurance technology is slightly slow. the existing insurance recommendation technology is often "acclimatized"in offline insurance promotion due to falling off the actual environment. In this paper, the neural network is trained to predict the possible purchase of insurance. then based on the analytic hierarchy process (AHP), the scoring model of the insurance scheme is established according to the index parameters of the product, and users are recommended according to the scoring of the scheme. Based on this recommendation technology, insurance companies can make a balance between profitability and recommendation accuracy, and predict and recommend insurance products that are suitable for users and meet the company's profitability. © 2022 ieee.

关键词： Insurance

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Management Information System based on Artificial intelligence Technology 5

Management Information System based on Artificial Intelligen...

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5th international conference on Contemporary computing and Informatics, IC3I 2022

作者： Pelleti, Swarupa Bains, Sahil Bansal, Atul Muda, Iskandar Chowdhary, Harish Mahajan, Yashodhan Koneru Lakshmaiah Education India Guru Nanak Dev University India University of Bahrain College of Business Administration Bahrain Universitas Sumatera Utara Sumatra Indonesia National Forensic Sciences University Delhi India Brihan Maharashtra College of Commerce Maharashtra India

ISBN: (纸本)9798350398267

Personalized suggestions, such as those based on a user's search history, purchase history, or other online activity, are a common use of artificial intelligence. AI is used a lot in commerce to do things like optimize products, plan inventory, handle logistics, and more. In order to deal with the problems caused by cloud computing, big data, and AI, developers of modern information systems are adding AI to the platform for managing information. Natural language, intelligent processing, and established procedures are all components of artificial intelligence, a subfield of computer science. Since the inception of AI, there has been continuous development in both the underlying technology and the range of potential uses. the purpose of this essay is twofold: first, to investigate how AI may be useful in the management information system of the container transport industry, and second, to offer suggestions for how that system might be enhanced. K-means clustering is an approach that is proposed in this work. the efforts made in building the terminal management system have substantially benefited the fields of automation, intelligent planning, and integrated management. A lot of work has gone into improving the terminal management system, and it has paid off in the form of significant advances in areas like automation, intelligent planning, and integrated management. Mulesoft Anypoint, which relies heavily on the Navic information platform and GPS for its Internet connectivity, is also being implemented at the same time. therefore, the CCR approach is employed to operate the multimodal transport virtual container while analyzing its performance under coproduction's management. When sent in containers, as much as 98.5 % of goods arrive in one piece. © 2022 ieee.

关键词： K-means clustering

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