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

共 3246 条记录，以下是1841-1850 订阅

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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...

引用

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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Chinese-foreign cooperative education management system based on cloud platform

Chinese-foreign cooperative education management system base...

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

作者： Chi, Haitao Lambton College Jilin University ChangchunJilin China

ISBN: (纸本)9789811525674

In recent years, cloud computing technology has been widely used in the field of education in the country, especially in the field of higher vocational education. The education cloud platform based on the World University City has taken initial shape. And some teaching reforms based on cloud space are also in full swing. On the basis of introducing the concept of cloud computing and education cloud platform, and we give the application status of the current cloud platform. Some measures for applying the cloud education platform for teaching and management reform are proposed. Taking learning management as an example, the in-depth study of the Chinese-foreign cooperative education management system can achieve the purpose of improving teaching effectiveness and improving the quality of personnel training. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Cloud computing

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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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Application Research of Business Rules Engine Management System Based on Drools

Application Research of Business Rules Engine Management Sys...

引用

international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Huang, Bin He, Zheyuan Tang, You Electrical and Information Engineering College Jilin Agricultural Science and Technology University Jilin132101 China Smart Agricultural Engineering Research Center of Jilin Province Jilin132101 China Information Technology Academy Jilin Agricultural University Changchun130000 China

ISBN: (纸本)9783030433055

This paper describes the design of a business rules engine management system based on Drools. Through the visual encapsulation of Drools, users can use a way similar to natural language to describe the originally complex, complicated and professional rules, and through the abstract configuration of business objects and parameter objects, the system can meet the business requirements of different business scenarios. In the whole life cycle management of rules, parameter table and parameter data, the system supports users to control the change of data state through three-level approval mode, so that users can conveniently carry out the configuration and management of various data in the system. At the same time, the system will record each key operation log, in order to facilitate enterprises and institutions to carry out system audit. © Springer Nature Switzerland AG 2020.

关键词： Information management

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A Neuro-Fuzzy Based Approach for Energy Consumption and Profit Operation Forecasting 5th

A Neuro-Fuzzy Based Approach for Energy Consumption and Prof...

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5th international conference on Advanced intelligent Systems and Informatics (AISI)

作者： Shalaby, Mohamed A. Wahby Ortiz, Nicolas Ramirez Ammar, Hossam Hassan Cairo Univ Fac Comp & Artificial Intelligence Giza Egypt Nile Univ Smart Engn Syst Res Ctr SESC Giza Egypt Nile Univ Sch Engn & Appl Sci Giza Egypt

ISBN: (纸本)9783030311292;9783030311285

In recent years, the massive growth in the scale of data is being a key factor in the needed data processing approaches. The efficiency of the algorithms of knowledge extraction depends significantly on the quality of the raw data, which can be improved by employing preprocessing techniques. In the field of energy consumption, the forecasting of power cost needed plays a vital role in determining the expected profit. To achieve a forecasting with higher accuracy, it is needed to deal with the large amount of data associated with power plants. It is shown in the literature that the use of artificial neural networks for the forecast electric power consumption and show short term profit operation is capable of achieving forecasting decisions with higher accuracy. In this research work, a neuro-fuzzy based approach for energy consumption and profit operation forecasting is proposed. First, the main influential variables in the consumption of electrical energy are determined. Then, the raw data is pre-processed using the proposed fuzzy-based technique. Finally, an artificial neural network is employed for the forecasting phase. A comparative study is conducted to compare between the proposed approach and the traditional neural networks. It is shown that the achieved forecasting accuracy of the proposed technique is better than what achieved by employing only the neural network.

关键词： Energy consumption Neural networks Fuzzy sets Adaptive neuro-fuzzy

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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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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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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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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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dataCan: Robust Approach for Genome Cancer data Analysis 3rd

DataCan: Robust Approach for Genome Cancer Data Analysis

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international conference on data Management, analytics and Innovation (ICDMAI)

作者： Goel, Varun Jangir, Vishal Shankar, Venkatesh Gauri Manipal Univ Jaipur Dept Informat Technol Jaipur Rajasthan India

ISBN: (纸本)9789811393648;9789811393631

While we glance in the past twenty years, it can be evidently noticed that biological sciences have brought about an active analytical research in high-dimensional data. Recently, many new approaches in data Science and Machine Learning fields have emerged to handle the ultrahigh-dimensional genome data. Several cancer data types together with the availability of pertinent studies going on similar types of cancers adds to the complexity of the data. It is of commentative biological and clinical interest to understand what subtypes a cancer has, how a patient's genomic profiles and survival rates vary among subtypes, whether a survival of a patient can be predicted from his or her genomic profile, and the correlation between different genomic profiles. It is of utmost importance to identify types of cancer mutations as they play a very significant role in divulging useful observations into disease pathogenesis and advancing therapy varying from person to person. In this paper we focus on finding the cancer-causing genes and their specific mutations and classifying the genes on the 9 classes of cancer. This will help in predicting which genetic mutation causes which type of cancer. We have used Sci-kit Learn and NLTK for this project to analyze what each class means by classifying all genetic mutations into 17 major mutation types (according to dataset). dataset is in two formats: CSV and Text, where csv containing the genes and their mutations and text file containing the description of these mutations. Our approach merged the two datasets and used Random Forest, with GridSearchCv and ten-fold Cross-Validation, to perform a supervised classification analysis and has provided with an accuracy score of 68.36%. This is not much accurate as the genes & their variations don't follow the HGVS Nomenclature of genes because of which conversion of text to numerical format resulted in loss of some important features. Our findings suggest that classes 1, 4 and 7 contribute the

关键词： Cancer Genes Random-Forest SVM Variations data analytics

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