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The Role of Management Techniques for High-Performance Pending Interest Table: A Survey 4th

The Role of Management Techniques for High-Performance Pendi...

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4th international conference of Reliable Information and Communication Technology (IRICT)

作者： Alubady, Raaid Hassan, Suhaidi Habbal, Adib Univ Babylon Coll Informat Technol Informat Networks Dept Babylon Iraq Univ Utara Malaysia UUM Sch Comp InterNetWorks Res Lab Sintok 06010 Kedah Malaysia Karabuk Univ Fac Engn Comp Engn Dept Karabuk Turkey

ISBN: (纸本)9783030335823;9783030335816

Most of the services used by Internet consumers such as social network platforms, video-on-demand, on-line gaming, web Media, and IP Television which are content-centric in nature;meaning they focus on named content objects instead of being focused on the host-location. In this context, many projects around named data propose redesigning and developing the communication of Internet-based on named data. NDN (Named data Networking) is an ideal solution to achieve efficient data sharing and retrieval since NDN focuses on the contents themselves regardless of their sources. The focus of this survey is a unique characteristic presented by NDN;PIT (Pending Interest table). PIT is part of three fundamental data structures newly introduced in the NDN router to enable full functionality of NDN. NDN router depends on reverse paths in PIT to return back data packets to consumers. Accordingly, the PIT may present stringent restrictions in terms of scalability, for-warding, and management. The challenging task is the design of a scalable and manageable PIT because it requires per-packet updating and controlling the impact of increasing Interest packets with the highest Interest lifetime of PIT. Therefore, this survey describes into greater detail the background and several important previous researches related to issues of PIT which is PIT management based on PIT placement, and replacement, PIT implementation as a data structure, and Adaptive Interest Life-time. Thus, would assist in defining the general framework of this survey.

关键词： Named data Networking Pending Interest Table Interest lifetime data structure And replacement policy

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10th international Symposium on Ambient Intelligence, ISAmI 2019

10th International Symposium on Ambient Intelligence, ISAmI ...

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10th international Symposium on Ambient Intelligence, ISAmI 2019

ISBN: (纸本)9783030240967

The proceedings contain 26 papers. The special focus in this conference is on Ambient Intelligence. The topics include: Blockchain-based architecture: A MAS proposal for efficient agri-food supply chains;sensing as a service: An architecture proposal for big data environments in smart cities;Design of an AI-based workflow-guiding system for stratified sampling;internet data extraction and analysis for profile generation;original content verification using hash-based video analysis;Me3CA - Monitoring environment exercise and emotion by a cognitive assistant;a new conductivity sensor for monitoring the fertigation in smart irrigation systems;dynamic rules extraction in big data context for knowledge capitalization systems;real-time low-cost active and assisted living for the elderly;multi-agent system and classification algorithms applied for ehealth in order to support the referral of post-operative patients;System to detect and approach humans from an aerial view for the landing phase in a UAV delivery service;smart coach—a recommendation system for young football athletes;functional prototype for intrusion detection system oriented to intelligent iot models;continuous authentication in mobile devices using behavioral biometrics;improving motivation in wrist rehabilitation therapies;Motorized circular rail with RGB-D sensor on cart for physical rehabilitation;assisting dependent people at home through autonomous unmanned aerial vehicles;a computing framework to check real-time requirements in ambient intelligent systems;a ubiquitous computing platform for virtualizing collective human eyesight and hearing capabilities;a recurrent neural network approach to improve the air quality index prediction;experiences in context aware-services;gesture control system for industry 4.0 human-robot interaction – A usability test.

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Stock Market Prediction and Portfolio Optimization Using data analytics 5th

Stock Market Prediction and Portfolio Optimization Using Dat...

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5th international conference on Computational Intelligence in data Mining, ICCIDM 2018

作者： Roy, Sulochana Department of Computer Science and Engineering Ramaiah Institute of Technology Bangalore560054 India

ISBN: (纸本)9789811386756

Analyzing the past records and precisely predicting the future trends is an important facet in a financially volatile market like the stock market! This paper employs Auto-ARIMA and Holt-Winters models for predicting the future value of stocks and Linear programming for portfolio optimization. Continuously training the model using the latest market data, helps the model get trained on the latest market behavior, so that it can be deployed further for more no. of portfolios in future;The trend obtained can be analyzed for the same to predict better investment plans in the stock market. Thus, helping people optimally invest in the stocks, depending upon the present market analysis, would help them fetch maximum return and suffer comparatively lesser loss. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Linear programming

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A Blockchain Based Distributed Vehicular Network Architecture for smart Cities 1

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Workshops of the 34th international conference on Advanced Information Networking and Applications, WAINA 2020

作者： Rehman, Mubariz Khan, Zahoor Ali Javed, Muhammad Umar Iftikhar, Muhammad Zohaib Majeed, Usman Bux, Imam Javaid, Nadeem COMSATS University Islamabad Islamabad Pakistan Faculty of Computer Information Science Higher Colleges of Technology Fujairah4114 United Arab Emirates

ISBN: (数字)9783030440381

ISBN: (纸本)9783030440374

In this paper, we propose a blockchain-based data sharing mechanism for Vehicular Network. We introduce edge service providers placed near to ordinary vehicle nodes to fulfill their requests. smart vehicles generate a huge amount of data which is stored in the Interplanetary File System (IPFS). IPFS is a distributed file storage system that overcomes the limitations of centralized architecture. Monetary incentive is given to edge vehicle nodes for providing services to ordinary nodes. Ordinary nodes give reviews against services provided by the edge nodes that are stored in a blockchain. A smart contract is used to automate system processes without third party involvement and checking reviews of the edge node. To optimize gas consumption, we used Proof of Authority (PoA) as a consensus mechanism for transaction validation. PoA enhances overall system performance and optimized gas consumption. The caching server is introduced to store frequently used services in memory and provided to ordinary vehicles upon request. Moreover, we have used symmetric key cryptographic mechanism which ensures data security and privacy. A trust management system is proposed, which ensures the reputation of nodes. The trust value is stored in a blockchain, which determines the authenticity of nodes involved in a network. From simulation results, it is shown that our proposed system is efficient for the vehicular network. © 2020, Springer Nature Switzerland AG.

关键词： Blockchain

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On EDA Solutions for Reconfigurable Memory-Centric AI Edge Applications 20

On EDA Solutions for Reconfigurable Memory-Centric AI Edge A...

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39th IEEE/ACM international conference On Computer Aided Design (ICCAD)

作者： Chen, Hung-Ming Hu, Chia-Lin Chang, Kang-Yu Kuster, Alexandra Lin, Yu-Hsien Kuo, Po-Shen Chao, Wei-Tung Lai, Bo-Cheng Liu, Chien-Nan Jou, Shyh-Jye Natl Chiao Tung Univ Inst Elect Hsinchu Taiwan Rhein Westfal TH Aachen Elect Engn & Informat Technol Aachen Germany

ISBN: (纸本)9781665423243

Memory-centric designs deploy computation to storage and enable efficient in-memory computation while avoiding massive amount of data movement. The in-memory-computing schemes have shown distinct advantages and concerns when applying to different types of memory technologies, from conventional SRAM, DRAM to emerging ReRAM. Moreover, the next-generation smart edge systems are expected to support various intelligent applications by employing multi-task machine learning models which would be dynamically activated. To attain an efficient design within short design cycle, it is imperative to have an integrated design framework with automated tools to support hybrid memory systems and perform effective optimization across design stages. This work will introduce a unified framework which integrates EDA solutions to address the design and optimization challenges at different aspects of next-generation memory-centric designs, including fast reconfiguring in-memory/near-memory computing designs to provide optimized solutions (behavioral models and APR cell layouts) for designers to choose the best suitable architectures for their applications.

关键词： In-Memory-computing AI edge device synthesis Reconfigurability

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Analysis of student financial aid based on big data analysis

Analysis of student financial aid based on big data analysis

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

作者： Bai, Jingang Chifeng University Chifeng024000 China

ISBN: (纸本)9789811525674

Since the reform and opening up, China’s financial aid for poor students has gone through three different stages of development, and each stage has its own characteristics. In order to effectively carry out the aid work for poor students, it is necessary to analyze and evaluate the effect of the aid, so as to achieve better aid effect. The ultimate starting point of student aid is to prevent any student from going to school because of poverty. However, in the actual funding work, there are many problems, such as difficulty in identifying funding, ineffective funding, and confusion in the implementation and management of funding. In order to solve this problem, this paper proposes a method based on big data analysis to analyze the effect of student aid. Through the analysis and guidance of this method, we can make better use of the state’s financial aid, so that students who really need financial assistance can get effective help and help them complete their studies smoothly. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

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Electric Vehicle Charging Control Based on smart Grid Big data

Electric Vehicle Charging Control Based on Smart Grid Big Da...

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2020 international conference on intelligent computing, Automation and Systems, ICICAS 2020

作者： Chang, Kuo-Chi Xu, Ze Chu, Kai-Chun Chang, Fu-Hsiang Wang, Hsiao-Chuan Hsu, Tsui-Lien Lin, Yuh-Chung Zhou, Yuwen North Borneo University College Department of Business Administration Sabah Malaysia Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fuzhou China College of Mechanical and Electrical Engineering National Taipei University of Technology Taipei Taiwan Fujian University of Technology Department of Business Management Fuzhou China Shih-Hsin University Department of Tourism Taipei Taiwan Institute of Environmental Engineering National Taiwan University Taipei Taiwan Institute of Construction Engineering and Management National Central University Taoyuan Taiwan

ISBN: (纸本)9781728191461

At the same time, the burning of a large amount of fossil fuels has aggravated environmental pollution and the greenhouse effect. In order to solve the problems of energy shortage and environmental pollution, electric vehicle technology has been highly valued by many countries. Electric vehicles are the most promising new energy vehicles. Therefore, on the basis of fully considering the charging load characteristics of electric vehicles, how to better establish charging facilities and adjust the impact of a large number of random loads on the grid. Therefore, it is of great significance and application value to study the charging strategy and control method of electric vehicles to improve the stable operation level of the power grid and the ability to accept new energy. Here, the frequency modulation control strategy of electric vehicles considering the restriction of electricity price is studied to ensure the regulation ability and charging demand of electric vehicles. © 2020 IEEE.

关键词： Electric vehicles

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intelligent rule-based support model using log files in big data for optimized service call center schedule 4th

Intelligent rule-based support model using log files in big ...

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4th international conference on Research in intelligent and computing in Engineering, RICE 2019

作者： Pham, Hai Van Cu, Long Kim School of Information and Communication Technology Hanoi University of Science and Technology Hanoi Viet Nam

ISBN: (纸本)9789811527791

Recently, many requests from customers at the same time can make over working load to a service call center. Conventional approaches have focused on scheduling cost, time, and human resource in a service call center, so it takes time with increasing high costs. This paper has presented a proposal of an intelligent rule-based support model using data log files with multiple constraints for optimized schedules and minimized number of counselors. The proposed model has been applied rules, quantified both qualitative and quantitative factors, based on the transactions in historical data to optimize a service call center schedule. To validate the proposed model, the experimental results show that the proposed system enhances its performance with a smart schedule based on the log files and counselor experiences in actual case studies of Cuc Phuong forest call services. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

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Design of intelligent Detection and Alarm System for Accident Anti-collision Based on ARM Technology 5th

Design of Intelligent Detection and Alarm System for Acciden...

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5th international conference on smart computing and Communication, smartCom 2020

作者： Tan, Minfu Hong, Yujie Quan, Guiyan Lin, Yinhua Xi, Erhui Zhang, Shiwen Huang, Weihong Big Data Development and Research Center Guangzhou College of Technology and Business Guangzhou528138 China College of Computer Science and Electronic Engineering Hunan University Changsha410000 China Department of Computer Science and Engineering Guangzhou College of Technology and Business Guangzhou528138 China School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan411201 China

ISBN: (纸本)9783030747169

With the increase of social transportation, traffic accidents are not uncommon, and various disputes often arise in accident responsibility. Law enforcement agencies can only understand the situation at the scene of the accident through the two parties who caused the accident, and the two sides of the accident often have their own opinions. This article designs an anti-collision intelligent detection and alarm system. When cars collide, the collision video recorded during driving can be used as direct evidence, saving a lot of time for both sides of the accident and law enforcement agencies, and improving the efficiency of law enforcement. This article first introduces the research significance of the ARM-based accident collision detection and alarm system, and then deeply analyzes the key technologies used in the system, including the main control A10, embedded system Melis, bus I2C and acceleration sensor BMA250. Then analyze the entire hardware module of the system. After that, it analyzes in detail the initialization and control of the acceleration sensor BMA250 in the software, and the alarm processing process when an accident occurs. Finally, we summarized the design and research of the entire system, analyzed the system's shortcomings, and looked forward to the work that needs to be improved in the future. © 2021, Springer Nature Switzerland AG.

关键词： Alarm systems

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An Edge computing Method for Partial Discharge under the Power Internet of Things

An Edge Computing Method for Partial Discharge under the Pow...

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2020 international conference on Ubiquitous Power Internet of Things, UPIOT 2020 and 4th international Symposium on Green Energy and smart Grid, SGESG 2020

作者： Wang, Shaojing Ren, Maoxin Cao, Pei Xu, Peng Electric Power Research Institute Shanghai Municipal Electric Power Company Shanghai China

The recognition of impulse interference for the partial discharge data on the edge computing platform can effectively reduce the false alarm rate in the risk assessment of gas insulated switchgear (GIS). Therefore, an edge computing method for partial discharge is proposed in the paper, which uses the similarity computing among the aggregation of data for each sensor after clustering to match homologous signals. Finally, the algorithm will jointly locate the interference signal and recognize the impulse interference signal by comparing the received signal strength indicator (RSSI) of multiple UHF sensors in/out of GIS equipment. The training set, being consisted of partial discharge and interference signal from the test, is used to contrast the algorithms on the edge computing platform, the result of which indicates that the accuracy rate of the recognition of the impulse interference with the proposed algorithm is 81.4% on the computing platform, with the average processing time for each sample of 7.15s. © Published under licence by IOP Publishing Ltd.

关键词： Partial discharges

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