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检索条件"任意字段=International Conference on Intelligent and Smart Computing in Data Analytics, ISCDA 2020"

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Context-Aware smart Reliable Service Model for intelligent Transportation System Based on Ontology 2nd

Context-Aware Smart Reliable Service Model for Intelligent T...

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2nd international conference on Recent Innovations in computing (ICRIC)

作者： Swarnamugi, M. Chinnaiyan, R. Jyoti Nivas Coll Dept MCA Bengaluru India CMR Inst Technol Dept Informat Sci & Engn Bengaluru India

ISBN: (纸本)9783030294076;9783030294069

IoT-based transportation system is getting smarter and smarter to provide quick, safe and reliable services to the user. This smarter transportation system is called intelligent Transportation System (ITS). ITS incorporates wired and wireless communication, electronic technologies, computational technologies, cloud platforms, GPS and sensor to assist user to be informed on road safety and make safer, coordinated, comfort and 'smarter' use of transportation medium. ITS is an advanced IOT application that connects huge number of objects to communicate with each other. As number of objects connected to ITS application increases, we face with a challenge of adding value to raw sensor data. The focus of this paper is to address this challenge with a context-aware model. Also, the effectiveness of context-aware in ITS is illustrated by discussing different real time scenarios.

关键词： intelligent transportation system (ITS) Context-aware Ontology Sensors

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Architecture of intelligent Guard System in the Virtual Physical Space 10

Architecture of Intelligent Guard System in the Virtual Phys...

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10th IEEE international conference on intelligent Systems, IS 2020

作者： Toskov, Borislav Toskova, Asya Stoyanov, Stanimir Doychev, Emil Plovdiv University "paisii Hilendarski" Department of Computer Systems Plovdiv Bulgaria

ISBN: (纸本)9781728154565

The article presents an architecture for creating a guard system built with intelligent software agents that connect with the physical world through a sensor network. The Guard System is part of the Virtual Physical Space (ViPS). In ViPS, it is built as an Internet-of-Things ecosystem consisting of autonomous intelligent components. © 2020 IEEE.

关键词： Network architecture

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Accurate calculation of rotor loss of synchronous condenser based on the big data analysis

Accurate calculation of rotor loss of synchronous condenser ...

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1st international conference on Big data analytics for Cyber-Physical System in smart City, BDCPS 2019

作者： Zhang, Aijun Xing, Huadong Zhou, Jingdi Inner Mongolia Power Research Institute HohhotInner Mongolia010020 China School of Electrical and Electronic Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9789811525674

The synchronous condenser is used to supply reactive power for HVDC converter station through the power transformer. The DC power that invades the power transformer biases the operating point of the magnetic field and produces harmonic components on the side of the synchronous condenser. In this paper, the analysis method of big data is adopted to analyze rotor loss of synchronous condenser under the DC bias of the transformer for the goal of accurate calculation of rotor loss. Lots of high-frequency harmonics in terminal voltage of synchronous condenser are generated by DC-bias of transformer. The rotor loss is calculated and compared under lagging phase and leading phase of synchronous condenser. The big data method is used to analyze the harmonic which produce the largest rotor loss. Some conclusions about the rotor loss caused by stator harmonic current are obtained. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

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A Revolutionary Interactive smart Classroom (RISC) with the Use of Emerging Technologies 2

A Revolutionary Interactive Smart Classroom (RISC) with the ...

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2nd international conference on Computer Communication and the Internet, ICCCI 2020

作者： Memos, Vasileios A. Minopoulos, Georgios Stergiou, Christos Psannis, Konstantinos E. Ishibashi, Yutaka University of Macedonia Department of Applied Informatics Thessaloniki Greece Nagoya Institute of Technology Department of Computer Science Nagoya Japan

ISBN: (纸本)9781728158006

Nowadays, the traditional teacher-centered way of teaching seems to be anachronistic. Disabled people, and not only, face difficulties to follow the current educational methods. The evolution of technology can offer significant benefits in these problems. Cutting-edge technologies, such as as Internet of Things (IoT), Cloud computing (CC), Wireless Sensor Networks (WSN), Big data analytics (BDA), Compressed Sensing (CS), Augmented Reality/Virtual Reality (AR/VR) and 5G Networking can contribute in the field of smart education. However, smart education is currently in an embryonic 2D data representational state. In this paper, we propose a new Revolutionary Interactive smart Classroom (RISC) which will provide a virtual environment for enhanced learning experience, based on 5G Network. This classroom will also make use of 3D virtual services in combination with haptic equipment and sensors, in order to carry out augmented human sensing information and touch into the virtual class. The advantages of such a classroom will be the sustainability in many fields, such as Society, Education, Environment, Economics, Technology and Cultural Tourism. © 2020 IEEE.

关键词： Internet of things

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Research and application of judgement technology of typical medium and low-voltage faults based on big data technology

Research and application of judgement technology of typical ...

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1st international conference on Big data analytics for Cyber-Physical System in smart City, BDCPS 2019

作者： Pan, Jianbing An, Yi Cao, Bei Liu, Yang Xu, Jingmin State Grid JiangXi Electric Power Research Institute NanchangJiangxi China

ISBN: (纸本)9789811525674

In order to find the disconnection of medium and low-voltage lines timely and effectively, based on the big data of power supply established by the special work of marketing, distribution and regulation data sharing and integration, this paper constructs a research and adjustment model for typical medium and low-voltage faults from the perspective of electrical value (voltage, current, unbalance rate) in the low-voltage side of the distribution transformer. It analyzes the logical relationship of corresponding electrical characteristic values after faults such as line disconnection, single-phase loss and single-phase grounding of the distribution transformer when the 10 kV distribution transformer operates under different load factors, winding connection group, three-phase unbalance rate and system voltage, and applies fault warning model in the daily operation and maintenance of the distribution network, to improve the quality of active repair service, shorten the fault finding and users’ power outage time, and improve the reliability of power supply. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

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Design and Implementation of intelligent Cloud Platform Protection for Folk Art

Design and Implementation of Intelligent Cloud Platform Prot...

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international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Li, Haihong Jilin Engineering Normal University ChangchunJilin130052 China

ISBN: (纸本)9783030433055

With the wide application of information technology, network technology and digital technology in modern society, digital service has been deeply applied in people’s daily life. Beyond doubt, folk art is also influenced by information technology towards the direction of developing digital and intelligence gradually. The emergence of big data and cloud computing not only brings challenges to folk art, but also makes it face so many opportunities. Folk art intelligent cloud platform design can not only promote the further development and dissemination of folk art, but also help to improve the user experience. However, with the extensive application of cloud platform, the security of cloud services is also come up with higher requirements. Starting from the current situation of folk art in the information age, this paper discusses the great significance of cloud platform to the development of folk art, and from the current security issues and influencing factors of cloud platform, designs the intelligent cloud platform protection of folk art. © Springer Nature Switzerland AG 2020.

关键词： Arts computing

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Accurate Prediction of NBA Players’ Lifespan with Big Sports data

Accurate Prediction of NBA Players’ Lifespan with Big Sport...

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international conference on Cyber Security Intelligence and analytics, CSIA 2021

作者： Bai, Yansong Boston University BostonMA02215 United States

ISBN: (纸本)9783030699987

This study aims to figure out which factors can be a significant risk predictor for the lifespan of professional basketball players and to figure out which machine learning model can be used to predict NBA players’ lifespan. This paper explores the relationship between response variable American professional players’ lifespan and predictors including handness, total points earned during career (PTS), height, weight, position, and ethnicity using data from departed sportsmen who have worked in the National Basketball Association and the American Basketball Association. This study compares different machine learning and decides to use regression for the prediction. The cut-off date for death data collection is August 1, 2020. Overall, this analysis included and identified 920 deceased players. As a result, weight and PTS play the most crucial factor which affects NBA players’ lifespan. Besides, the range of weight is between 137.00 pounds to 284.00 pounds, with a standard deviation of 22.48, and has a mean weight of 199.03 pounds. Except birth periods before 1920 and from 1941 to 1950, the most massive players are more likely to die younger than the lightest players based on the descriptive finding. Similarly, Polynomial, Lasso, and Ridge regression analyses show a strong relationship between the predictor weight, PTS, and response lifespan. The mortality risk of more massive and high PTS players is significantly higher than lighter and lower PTS players. Understanding the potential risks of early mortality can help NBA players better plan their training sessions to improve their life quality. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Machine learning

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ACM international conference Proceeding Series

ACM International Conference Proceeding Series

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2020 international conference on computing, Networks and Internet of Things, CNIOT 2020

ISBN: (纸本)9781450377713

The proceedings contain 39 papers. The topics discussed include: an advanced data science model based on big data analytics for urban driving cycle construction in China;vulnerabilities and attacks of UAV cyber physical systems;deep reinforcement learning method for energy efficient resource allocation in next generation wireless networks;sensitive data identification in structured data through GenNER model based on text generation and NER;GPU-acceleration of a high order finite difference code using curvilinear coordinates;improved convolutional neural network for lung cancer detection;large-scale distributive matrix collaborative filtering for recommender system;kinematic analysis of drawing movements in Chinese primary schoolchildren;artificial intelligence enabled smart refrigeration management system using Internet of things framework;IoT enabled smart fertilization and irrigation aid for agricultural purposes;and Internet of Things (IoT) for healthcare application: wearable sleep body position monitoring system using IoT platform.

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Innovation of financial shared service center based on artificial intelligence

Innovation of financial shared service center based on artif...

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1st international conference on Big data analytics for Cyber-Physical System in smart City, BDCPS 2019

作者： Zhang, Yanchang College of International Vocational Education Shanghai201209 China Shanghai Polytechnic University Shanghai201209 China

ISBN: (纸本)9789811525674

With the development of the global economy and the further improvement of artificial intelligence research, the relationship between artificial intelligence and finance is increasingly close. The booming financial sharing services have greatly improved the efficiency of relevant financial work. At present, the global financial sharing service platform has excellent performance in reducing labor cost and improving operation efficiency, but it has not fully exerted the function of creating value of financial work. The establishment of financial sharing requires a large amount of data research, which requires the help of artificial intelligence to carry out relevant data statistics. Using big data and artificial intelligence technology to improve the financial sharing service platform can further liberate human resources and promote capital integration, which is an important way for the financial sharing service center to play its role in creating value. Finally, the improvement work should properly deal with the balance between centralization and decentralization, actively extend the business and expand the professional skills of financial personnel. However, we must see its two sides in the development process and avoid the problems in the research. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

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Considerations on the relationship between accounting conservatism and firm investment efficiency based on large data analysis

Considerations on the relationship between accounting conser...

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1st international conference on Big data analytics for Cyber-Physical System in smart City, BDCPS 2019

作者： Chen, Xuanjun Department of Construction Management and Real Estate Chongqing Jianzhu College Chongqing400072 China

ISBN: (纸本)9789811525674

In recent years, large data analysis methods have been widely used in many fields. For example, it can be applied to environmental art design, computer technology application and so on. More and more companies are investing, so the importance of accounting conservatism and investment interest is increasing gradually. Based on big data, this paper explores the relationship between accounting conservatism and firm investment interest. The endings indicate that accounting conservatism has the following effects on investment profits. First, it can restrain excessive investment and second, it can aggravate underinvestment. If accounting conservatism restrains over-investment, the regression coefficient of accounting conservatism is −0.0265, and there is a remarkable change at the level of 4%. If this conservatism aggravates underinvestment, the regression coefficient of accounting conservatism and underinvestment is 0.0130, which is remarkable at the level of 0.9%. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

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