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The Design of intelligent Passenger Organization System (IPOS) for Metro Stations Based on Anylogic

The Design of Intelligent Passenger Organization System (IPO...

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2021 international conference on Internet of Things and smart City, IoTSC 2021

作者： Zeng, Cheng Wu, Jiayuan Wang, Ruiwei School of Transportation and Logistics Southwest Jiaotong University Sichuan Chengdu China School of Maritime Economics and Management Dalian Maritime University Liaoning Dalian China

Passenger organization has always been an essential part of China's metro operation and management. Facing the massive passenger flow, stations need to improve their intelligence and automation degree by an appropriate integrated system. Based on the existing Integrated Supervisory Control System (ISCS) and simulation software (Anylogic), this paper designs an intelligent Passenger Organization System (IPOS) for metro stations. Its primary function includes passenger information acquisition, data processing and computing, visualization management, decision recommendations, and decision response based on interlocking equipment. For this purpose, the logical structure and intelligent algorithms employed are particularly devised. Besides, the structure diagram of information acquisition and application module, the application of Anylogic, the case library's function process are all given by this research. Based on the secondary development of Anylogic and existing technologies like video recognition, the IPOS is supposed to improve the response speed and address capacity in the face of emergent passenger flow of metro stations. © Published under licence by IOP Publishing Ltd.

关键词： data visualization

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Digital identity management system using blockchain technology 3rd

Digital identity management system using blockchain technolo...

引用

3rd international conference on Innovative computing and Communication, ICICC 2020

作者： Sin, Ei Shwe Naing, Thinn Thu Faculty of Computer Science University of Computer Studies Taunggyi Taunggyi Myanmar

ISBN: (纸本)9789811551475

Digital identity plays the main role in the digital world. Thus, many researchers emphasize the determination of the accurate identity of users. This paper proposes the blockchain-based digital identity management system in Myanmar, to decrease the use of national identity document. The occurrence of duplicated identity numbers in Myanmar is the main issue, and another problem is how to recover the lost national identity card. Trusted humans and organizations that have the responsibility for the entire activity need secure data management. Blockchain technology built on the internet could use current identity data in a peer-to-peer, interoperable way to eliminate third parties. Using the benefit of blockchain, the unique and persistent identity number of the citizen will be stored in the blockchain network. The user could store encrypted private, personal, and sensitive data, as well as share verifications about the information on the blockchain. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021.

关键词： smart contract

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

1st International Conference on Big Data Analytics for Cyber...

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

ISBN: (纸本)9789811525674

The proceedings contain 279 papers. The special focus in this conference is on Big data analytics for Cyber-Physical System in smart City. The topics include: Design of a scanning frame vertical shaft;application of big data to precision marketing in B2C e-commerce;application of information theory and cybernetics in resource configuration;structural optimization of service trade under the background of big data;analysis of the relationship between individual traits and marketing effect of e-commerce marketers based on large data analysis;Analysis of urban street microclimate data based on ENVI-met;big data security issues in smart cities;system test of party affairs work management information system in higher vocational colleges;design method of axial clearance adjustment gasket for mass production components based on big data application;exploration on the implementation path of drawing course under the information-based background;practical teaching mechanism of electronic commerce;development status and challenges of unmanned vehicle driving technology;Analysis and research of mine cable fault point finding method based on single chip microcomputer and FPGA technology;emotional analysis of sentences based on machine learning;application and research of basketball tactics teaching assisted by computer multimedia technology;accurate calculation of rotor loss of synchronous condenser based on the big data analysis;a parallel compressed data cube based on hadoop;development trends of customer satisfaction in China’s airline industry from 2016 to 2018 based on data analysis;intelligent outlet based on ZMCT103C and GSM;internal quality control and evaluation method of food microorganism detection;shared smart strollers.

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Application of the Big data Technology in the Chain Operation Management

Application of the Big Data Technology in the Chain Operatio...

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international conference on Cyber Security Intelligence and analytics (CSIA)

作者： Tang, Xiaohua Sichuan Technol & Business Coll Dujiangyan 611830 Sichuan Peoples R China

ISBN: (纸本)9783030152352;9783030152345

The chain operation of enterprises has been gradually improved in today's society, and now it has already begun to have an excellent management mode. In the operation of the chain enterprises, the corporate headquarters plays a decisive role. It is the flag of all the subsidiaries and sub-organizations. Therefore, it is necessary for the corporate headquarters to play an excellent management function and bring the excellent corporate cultures into play to the chain enterprises. This paper, based on the big data technology, analyzes its application strategies in the chain operation management.

关键词： Chain operation Management work Big data technology Application

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data Visualization Association Algorithm Based on Spatio-Temporal Association Big data

Data Visualization Association Algorithm Based on Spatio-Tem...

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international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Zhang, Zhang Tian, Liang Baoji Vocational and Technical College Gaoxin Avenue No. 239 Baoji National High-Tech Industrial Development Zone Baoji China Shaanxi Fenghuo Electronic Co. Ltd. Qingjiang Road No. 72 Weibin District BaojiShaanxi China

ISBN: (纸本)9783030627423

This paper mainly studies and realizes the spatio-temporal multidimensional visualization under the big data environment. By analyzing the spatiotemporal correlation of wireless sensor networks under the random large-scale dense deployment of sensor nodes, ensure that there is no monitoring blind spot in the area, the accuracy of data sampling and the reliability of communication. By studying the Markov chain’s spatial correlation data prediction algorithm, it solves the problem that nodes need to store a large amount of historical data during prediction, and the requirements for node storage space are relatively high;At the same time, the spatial correlation of the data in the network is analyzed for data prediction, which solves the problem of low prediction accuracy using the time-based correlation prediction method in the case of irregular data fluctuations. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Visualization

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6th international conference on Advanced intelligent Systems and Informatics, AISI 2020

6th International Conference on Advanced Intelligent Systems...

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6th international conference on Advanced intelligent Systems and Informatics, AISI 2020

ISBN: (纸本)9783030586683

The proceedings contain 78 papers. The special focus in this conference is on Advanced intelligent Systems and Informatics. The topics include: Deep Neural Networks for Landmines Images Classification;Deep Convolutional Neural Networks for ECG Heartbeat Classification Using Two-Stage Hierarchical Method;study of Region Convolutional Neural Network Deep Learning for Fire Accident Detection;norm-Referenced Achievement Grading: Methods and Comparison;review of Several Address Assignment Mechanisms for Distributed smart Meter Deployment in smart Grid;an Approach for Sentiment Analysis and Personality Prediction Using Myers Briggs Type Indicator;article Reading Sequencing for English Terminology Learning in Professional Courses;egyptian Student Sentiment Analysis Using Word2vec During the Coronavirus (Covid-19) Pandemic;various Pre-processing Strategies for Domain-Based Sentiment Analysis of Unbalanced Large-Scale Reviews;an Enhanced database Recovery Model Based on Game Theory for Mobile Applications;arabic Offline Character Recognition Model Using Non-dominated Rank Sorting Genetic Algorithm;sentiment Analysis of Hotel Reviews Using Machine Learning Techniques;transparent Blockchain-Based Voting System: Guide to Massive Deployments;Enhanced Technique for Detecting Active and Passive Black-Hole Attacks in MANET;a Secure Signature Scheme for IoT Blockchain Framework Based on Multimodal Biometrics;an Evolutionary Biometric Authentication Model for Finger Vein Patterns;a Deep Blockchain-Based Trusted Routing Scheme for Wireless Sensor Networks;a Survey of Using Blockchain Aspects in Information Centric Networks;real-Time Trajectory Control ofPotential Drug Carrier Using Pantograph "Experimental Study";Early Detection of COVID-19 Using a Non-contact Forehead Thermometer;Location Estimation of RF Emitting Source Using Supervised Machine Learning Technique;big data Technology in intelligent Distribution Network: Demand and Applications.

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An Entropy-Based Technique for conferences Ranking 3rd

An Entropy-Based Technique for Conferences Ranking

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

作者： Majeed, Fiaz Ul Haq, Rana Azhar Univ Gujrat Fac Comp & Informat Technol Dept Informat Technol Gujrat Pakistan Univ Gujrat Fac Comp & Informat Technol Dept Comp Sci Gujrat Pakistan

ISBN: (纸本)9789813299498;9789813299481

Ranking of conferences is carried out to guide the researchers so as to publish their work in top-level venues. Existing works are needed to be improved in regard to accuracy. In this paper, we have proposed a ranking technique of conference papers named as influence language model (InLM). It uses entropy to calculate score for the purpose of ranking. It identifies level of the paper as well as level of the conference based on entropy score. Experiments have been performed on bigger dataset. The results reflect better position in comparison to the existing systems.

关键词： conference ranking Language model Influence language model Entropy Scientific research

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1st BenchCouncil international Federated intelligent computing and Block Chain conferences, FICC 2020

1st BenchCouncil International Federated Intelligent Computi...

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1st BenchCouncil international Federated intelligent computing and Block Chain conferences, FICC 2020

ISBN: (纸本)9789811611599

The proceedings contain 38 papers. The special focus in this conference is on intelligent computing and Block Chain. The topics include: Failure Characterization Based on LSTM Networks for Bluegene/L System Logs;traffic Crowd Congested Scene Recognition Based on Dilated Convolution Network;failure Prediction for Large-Scale Clusters Logs via Mining Frequent Patterns;FLBench: A Benchmark Suite for Federated Learning;fake News Detection Using Knowledge Vector;a Reconfigurable Electrical Circuit Auto-Processing Method for Direct Electromagnetic Inversion;implementing Natural Language Processes to Natural Language Programming;LSO: A Dynamic and Scalable Blockchain Structuring Framework;CISV: A Cross-Blockchain Information Synchronization and Verification Mode;Choroidal Neovascularization Segmentation Based on 3D CNN with Cross Convolution Module;A Formal Process Virtual Machine for EOS-Based smart Contract Security Verification;AVEI: A Scientific data Sharing Framework Based on Blockchain;SCT-CC: A Supply Chain Traceability System Based on Cross-chain Technology of Blockchain;Game-Theoretic Analysis on CBDC Adoption;design of Experiment Management System for Stability Control System Based on Blockchain Technology;a Cross-chain Gateway for Efficient Supply Chain data Management;Automatic Essay Scoring Model Based on Multi-channel CNN and LSTM;research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph;Course Evaluation Analysis Based on data Mining and AHP: A Case Study of Python Courses on MOOC of Chinese Universities;process-Oriented Definition of Evaluation Indicators, Learning Behavior Collection and Analysis: A Case Study;Task-Free Recovery and Spatial Characterization of a Globally Synchronized Network from Resting-State EEG;entity Coreference Resolution for Syllabus via Graph Neural Network.

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Digital twin modeling of smart cities 3rd

Digital twin modeling of smart cities

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3rd international conference on Human Interaction and Emerging Technologies: Future Applications, IHIET 2020

作者： Petrova-Antonova, Dessislava Ilieva, Sylvia GATE Institute Sofia University "St. Kl. Ohridski" 125 Tsarigradsko shose Blvd. Sofia1113 Bulgaria

ISBN: (纸本)9783030553067

smart cities utilize the Big data and IoT to provide better life for citizens. Since, they are the most complicated human artifact, the adoption of such technologies become a complex task, requiring continuous data collection, aggregation and analysis. In order to transform city problems into concrete actions a systematic approach aimed at digital transition needs to be followed. There are huge efforts to build city information models for encoding city objects, their relations and supporting the decision-making. This requires a common knowledge base, supported by rich vocabularies and ontologies that are capable to handle the information diversity and overload. In this paper a methodological framework and an upper-level ontology for building digital city models are presented. The process of digital city modelling follows the concept of digital twin by providing a data-driven decision making. The proposed upper-level ontology aims to overcome city modeling problems due to data silos and lack of semantic interoperability. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Decision making

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E-crime Management System for Future smart City

E-crime Management System for Future Smart City

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international conference on data Processing Techniques and Applications for Cyber-Physical Systems, DPTA 2019

作者： Kamruzzaman, M.M. Jouf University SakakaAl-Jouf Saudi Arabia

ISBN: (纸本)9789811514678

Architecture of an E-crime management system for future smart city is proposed in this paper. The architecture is divided into four main components: Police Station, Server, Internet and Citizen of smart city. Citizen of smart city can use any type of microcomputer such as: smart phone, tablet, laptop or desktop to register a case from online. Specification of server to make it secure and reliable is listed in this paper. Investigation center is equipped with Forensic Services, Artificial intelligence and analytics module and connected with the main server. All information related to investigation and criminals can be stored in this system for further proceeding. At present, part of the proposed architecture is designed and implemented which is also described in this paper. © 2020, Springer Nature Singapore Pte Ltd.

关键词： smart city

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