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Evolutionary computing Environments: Implementing Security Risks Management and Benchmarking

Evolutionary Computing Environments: Implementing Security R...

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international conference on Computational Intelligence and data Science (ICCIDS)

作者： Malik, Vinita Singh, Sukhdip DCRUST CSE Dept Murthal India Cent Univ Haryana Mahendergarh Haryana India

This research makes a focus on evolutionary computing environments i.e. Pervasive, Internet of Things, Artificially intelligent (AI) and Big data risks management. The contribution of paper lies in identifying, managing risks in advanced computing paradigms, mitigating security risks and benchmarking smart softwares. As the security and privacy of big volume data is heated discussion these days due to several vulnerabilities in data posed by its pervasive nature so the paper has implemented the security risks mitigation in big data projects. In addition, the benchmarking of pervasive software is done with the help of an intelligent tool for detecting application frameworks and security vulnerabilities. The application is scanned, and the intelligent tool quantifies the severity levels to provide the possible solutions. This tool also collects application metrices to benchmark it against technology, application business drivers and properties to improve the quantitative Performance of the software. This research also puts an analytical foundation for various risks management concepts in evolutionary environments i.e. Pervasive, AI, Internet of Things and Big data. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： Security Vulnerabilities Pervasive computing Big data Internet of Things Artificially intelligent computing

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Analysis and research on the innovative teaching mode of collegiate athletic education under the background of big data

Analysis and research on the innovative teaching mode of col...

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

作者： Huang, Wensheng Dalian Polytechnic University Sports Teaching Department Dalian116034 China

ISBN: (纸本)9789811525674

Under the background of Big data, collegiate athletic education courses use the collection and analysis ability of Big data on the Internet to establish various sports skills and health education learning platforms, reform the traditional single sports teaching mode, innovative diversified and intelligent sports teaching fields, increase the ways for college students to learn sports and health common sense, and improve the self-consciousness of college students to acquire sports knowledge. Interest points, strengthen the ability of self-exercise and physical cultivation, complete the teaching objectives of collegiate athletic education, and use Big data technology to achieve the reform and innovation of collegiate athletic education teaching mode. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

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Performance of Scalable data Linked to Internet of Things: A Case Study 3rd

Performance of Scalable Data Linked to Internet of Things: A...

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3rd international conference on computing and Communication, IC3 2020

作者： Mishra, Jyoti Prakash Borah, Samarjeet Mishra, Sambit Kumar Gandhi Institute for Education and Technology Baniatangi BhubaneswarOdisha India Biju Patnaik University of Technology RourkelaOdisha India Sikkim Manipal Institute of Technology Sikkim Manipal University Sikkim India

ISBN: (纸本)9789811573934

data can be scaled as well as transacted with modularity based on specific applications. The term Internet of things in this domain is conceptualized based on smart virtual applications toward large segment of data with heterogeneity. In such situation, the deployment of different sensors can be applied to different synchronized as well as continuous data stream. The involvement of machine-to-machine applications is of course there while linking real-time analysis with Internet of things. As it is known that the Internet of things permits communicating among devices, the physical devices can communicate to common man about the current status and location. Accordingly, the acquired data from the devices can be properly scaled and filtered to attain relevancy. The better mechanisms with set of rules can be developed to observe the significance of data with varying scales. There is a variation with large scale of data while incorporating the techniques and extracting the relevancy from focused data. In such scenario, it may be desirable to focus toward similar clusters linked with specific domains. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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smart Platforms of Air Quality Monitoring: A Logical Literature Exploration 2nd

Smart Platforms of Air Quality Monitoring: A Logical Literat...

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2nd international conference on Futuristic Trends in Networks and computing Technologiess, FTNCT 2019

作者： Rahi, Pankaj Sood, Sanjay P. Bajaj, Rohit University Institute of Computing Chandigarh University Mohali India Health Informatics CDAC-Mohali Mohali India Department of Computer Science and Engineering Chandigarh University MohaliPunjab India

ISBN: (纸本)9789811544507

The emerging platform of smart computing are playing a vital role in revolutionizing the data era via offering massive data collection, information exchange and variable data analytics. Air is the vital nutrients necessarily acquired by all the living beings on the earth. The air quality monitoring is important area largely associated with living beings that are under the espousers of it for longer or short duration of time. The air quality monitoring system support the activities of the measurement of the concentration of hazardous gases and pollutants causing harm to the environment or the living beings directly or indirectly. In this review paper critical view of the smart solution designed, developed for the monitoring of ambient air (outdoor) and indoor air quality are represented. © 2020, Springer Nature Singapore Pte Ltd.

关键词： data analytics

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Exploratory Approach to Performance of smart Components of intelligent [smart] Buildings 3rd

Exploratory Approach to Performance of Smart Components of I...

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3rd international conference on Human Systems Engineering and Design: Future Trends and Applications, IHSED 2020

作者： Amusan, Lekan Moses, Emetere Rapheal, Ojelabi Lekan Amusan Building Technology Department College of Science and Technology Covenant University OtaOgun State Nigeria Moses Emetere Department of Physics Covenant University OtaOgun State Nigeria Ojelabi Rapheal Building Technology Department College of Science and Technology Covenant University OtaOgun State Nigeria

ISBN: (纸本)9783030582814

intelligent building is gaining access to the construction industry all over the world in recent times. Building functionality and the need for occupant comfort has been the major drive toward advent of intelligent Buildings. In the light of this, there is a need to carry out continuous evaluation of performance of the building to ensure value for money. In this study therefore, post-occupation building managers at different levels of types of buildings were censored within the scope of the following parameters;awareness on current state of practice in office intelligent building application, the level of satisfaction of managers and the users of intelligent buildings’ performance, effectiveness of the security system and access control in building and performance enhancement measures to be adopted and factors that influences effective performance of intelligent building accessories. Survey method was used with the aid of questionnaire the resultant data was analyse using relative agreement index (RAI), Mann-Whitney U-Test, Pearsons’s Chi-square test and Student’s T-test. The study presented factors that influences integration of automated accessory in building and their performance, effectiveness of security system and access control, conventional automation application in building products among others. The study recommend constructive innovative approach to intelligent building management, strategic plan should be instituted in maintenance operation, proactive management building accessory, and collaborative stake holder inclusive management, as panacea to forestalling negative attendant consequence of facility negligence in intelligent building. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： intelligent buildings

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A Big data Lake for Multilevel Streaming analytics 1

A Big Data Lake for Multilevel Streaming Analytics

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1st international conference on Big data analytics and Practices (IBDAP)

作者： Liu, Ruoran Isah, Haruna Zulkernine, Farhana Queens Univ Sch Comp Kingston ON Canada

ISBN: (数字)9781728181066

ISBN: (纸本)9781728181066

Large organizations are seeking to create new architectures and scalable platforms to effectively handle data management challenges due to the explosive nature of data rarely seen in the past. These data management challenges are largely posed by the availability of streaming data at high velocity from various sources in multiple formats. The changes in data paradigm have led to the emergence of new data analytics and management architecture. This paper focuses on storing high volume, velocity and variety data in the raw formats in a data storage architecture called a data lake. First, we present our study on the limitations of traditional data warehouses in handling recent changes in data paradigms. We discuss and compare different open source and commercial platforms that can be used to develop a data lake. We then describe our end-to-end data lake design and implementation approach using the Hadoop Distributed File System (HDFS) on the Hadoop data Platform (HDP). Finally, we present a real-world data lake development use case for data stream ingestion, staging, and multilevel streaming analytics which combines structured and unstructured data. This study can serve as a guide for individuals or organizations planning to implement a data lake solution for their use cases.

关键词： Hadoop data Platform Hadoop Distributed File System NiFi streaming data unstructured data

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A Multi-Objective Genetic GAN Oversampling: Application to intelligent Transport Anomaly Detection\ 22

A Multi-Objective Genetic GAN Oversampling: Application to I...

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22nd IEEE international conference on High Performance computing and Communications, 18th IEEE international conference on smart City and 6th IEEE international conference on data Science and Systems, HPCC-smartCity-DSS 2020

作者： Bouzeraib, Wayoud Ghenai, Afifa Zeghib, Nadia Constantine2-Abdelhamid Mehri University LIRE Laboratory Constantine Algeria

ISBN: (纸本)9781728176499

The Internet of Things (IoT) enables the automation of data collection and processing functions but exposes a huge amount of data to the cyberattacks risk. To tackle this issue, anomaly detection allows to identify data points, events, and/or observations that deviate from a dataset's normal behaviour indicating eventual critical incidents. In this paper, we focus on the imbalance data and the minority classes problem where the number of abnormal samples is much less than normal (secure) samples. In particular, this paper presents a new equilibrium model based on a Genetic Algorithm to improve Generative Adversarial networks (GANs). This model addresses the problem of class imbalance to anomaly detection system performance. The proposed approach use is illustrated by a case study: An intelligent transport system-based scenario. © 2020 IEEE.

关键词： Generative adversarial networks

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8th Annual international conference on Geo-Spatial Knowledge and Intelligence

8th Annual International Conference on Geo-Spatial Knowledge...

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8th Annual international conference on Geo-Spatial Knowledge and Intelligence, GSKI 2020

The proceedings contain 131 papers. The topics discussed include: research on optimal operation of reservoirs in Shule River irrigation district based on dynamic programming with successive approximation method;a novel web service discovery method combining semantic interface similarity and context similarity;channel fingerprint packet authentication method based on edge computing cooperation;the annotation type of video case system built for pre-service teachers in teaching skills training;economic loss of optimal configuration of smart energy system under attack;reform and practice of web design and production based on OBE concept in the context of new engineering;a study on the application of blended teaching to English reading course under the background of artificial intelligence;exploration on reform of materials forming and control engineering for intelligent and additive manufacturing;and research on the construction of city information modelling basic platform based on multi-source data.

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Research on the Sports Teaching System Based on the data Visualization

Research on the Sports Teaching System Based on the Data Vis...

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international conference on Cyber Security Intelligence and analytics (CSIA)

作者： Ma, Zhanke Ningxia Normal Univ Inst Phys Educ Guyuan 756000 Ningxia Peoples R China

ISBN: (纸本)9783030152352;9783030152345

A very important factor to judge whether a country is strong or not is to see whether its sports are strong or not. Compared with other countries, some of China's sports teaching activities are strong while others are weak. With the development of our science and technology, the development of the sports teaching activities should also keep pace with the times. Whether the visualization of the sports data can help the sports teaching activities achieve the desired results is worth watching. The data and information are also the basic concepts of the system engineering, and the information theory is one of the theoretical foundations of the system engineering. Therefore, the research on the development and application of the data and information in our teaching activities is an important part of the innovative research on the new teaching activities.

关键词： data visualization Physical education System construction Modernization Big data

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Sports data analytics: A Case Study of off-Field Behavior of Players 3rd

Sports Data Analytics: A Case Study of off-Field Behavior of...

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

作者： Patil, Malini Sharma, Neha Dinakar, B. R. JSS Acad Tech Educ Bengaluru India Soc Data Sci Pune Maharashtra India Dayanand Sagar Acad Technol & Management Bengaluru India

ISBN: (纸本)9789811393648;9789811393631

The field of sports science is highly emerging and has made the headlines in the research and development activities, with new challenges and trends in the recent past. Sports analytics is the analysis of historical big data mainly available in the form of statistics to provide a proper insight into the entire team, an individual, or even the coach. It also facilitates decision-making for both on-field and off-field performances of all the concerned. The term "sports analytics" was popularized in 2011. It has also created a platform under the confluence of many disciplines such as data mining, machine learning, big data analytics, artificial intelligence, and predictive analytics. The paper aims at analyzing the off-field behavior of players using a statistical approach. The focus of the study is to comprehend the nature of data set, explore the relation between the attributes of the data set, and create a model to understand how the data relates to the underlying population using a real world data set. It comprises motion sensor data of 19 activities among both male and female categories. The sports data set is referred from the UCI repository. It consists of motor sensor data collected for both male and female players. The data set also clearly displays the three dimensions of big data namely, volume, variety, and veracity.

关键词： Sports data analytics Predictive analytics Big data Players behavior Recurrent neural network LSTM

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