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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1751-1760 订阅

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Bitcoin data analytics: Exploring Research Avenues and Implementing a Hadoop-Based analytics Framework

Bitcoin Data Analytics: Exploring Research Avenues and Imple...

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

作者： Shah, Raj Sanjay Bhatia, Ashutosh Department of Computer Science and Information Systems Birla Institute of Technology and Science Pilani Pilani India

ISBN: (纸本)9783030440374

Bitcoin is the most successful cryptocurrency since its inception in 2009 [30]. There are 18.1 million BTCs in circulation as of December 2019, which roughly translates to 149 Billion USD [12]. With Bitcoin’s substantial market capitalization and unique features like pseudo-anonymity and immutability, it draws much attention from the researchers across the world. Despite this enormous spotlight towards Bitcoin, it remains under-researched because of the large size of the Bitcoin data, (Roughly 250 GB) and the inability to process this data in small time. To explore avenues for further research, this article presents a survey of the recent advancements done regarding the big data analytics of the Bitcoin Cryptocurrency. Furthermore, we propose an analysis framework based on the Apache Hadoop ecosystem. © 2020, Springer Nature Switzerland AG.

关键词： Bitcoin

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ICAC 2020 - 2nd international conference on Advancements in computing, Proceedings

ICAC 2020 - 2nd International Conference on Advancements in ...

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2nd international conference on Advancements in computing, ICAC 2020

ISBN: (纸本)9781728184128

The proceedings contain 86 papers. The topics discussed include: gamified smart mirror Wo leverage autistic education – Aliza;WANHEDA: a machine learning based DDoS detection system;an AI based chatbot to self-learn and self-assess performance in ordinary level chemistry;evaluating optimal lockdown and testing strategies for COVID-19 using multi-agent social simulation;DenGue CarB: mosquito identification and classification using machine learning;an integrated framework for predicting health based on sensor data using machine learning;smart intelligent advisory agent for farming community;and evaluating teaching content and assessments based on learning outcomes.

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BRAIN-IoT: Paving the Way for Next-Generation Internet of Things 5

BRAIN-IoT: Paving the Way for Next-Generation Internet of Th...

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5th international conference on Internet of Things, Big data and Security (IoTBDS)

作者： Ferrera, Enrico Tao, Xu Conzon, Davide Pombo, Victor Sonora Cantero, Miquel Ward, Tim Bosi, Ilaria Sandretto, Mirko LINKS Fdn Leading Innovat & Knowledge Soc Turin Italy Improving Metr La Coruna Spain Robotnik Automat SLL Valencia Spain Paremus Ltd Wokingham England

ISBN: (纸本)9789897584268

Nowadays, the adoption of the Internet of Things is drastically increasing in different domains and is contributing to the fast digitalization of several different critical sectors. In the near future, next generation of IoT-based systems will become more complex to be designed and managed. An opportunity for the development of flexible smart IoT-based systems that drive the business decision-making is to take more precise and accurate decisions at the right time, collecting real-time IoT generated data. This involves a set of challenges including the complexity of IoT-based systems and the management of large-scale systems scalability. With respect to these challenges, we propose to automate the management of IoT-based systems mainly based on an autonomic computing approach;these systems should implement cognitive capabilities that allow them learning and generating decisions at the right time. Consequently, we propose a model-driven methodology for designing smart IoT-based systems. With this objective, BRAIN-IoT paves the way to develop and demonstrate novel IoT concepts and solutions to underpin the Next Generation Internet of Things vision and architecture, that focusing on self-aware and semi-autonomous IoT systems, as well as on moving away from centralized cloud-computing solutions towards distributed intelligent edge computing systems.

关键词： Next-Generation Internet of Things Self-aware Systems Semi-autonomous Systems Security Privacy Edge computing Model-based Development smart Behaviours

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Using a WebSocket Server and the JSON Format to Transmit data for the Purposes of Implementing the Brain-Computer Technology

Using a WebSocket Server and the JSON Format to Transmit Dat...

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international conference on Automation (AUTOMATION)

作者： Paszkiel, Szczepan Opole Univ Technol Dept Biomed Engn Fac Elect Engn Automat Control & Informat Proszkowska 76 PL-45271 Opole Poland

ISBN: (纸本)9783030409715;9783030409708

This article describes the Emotiv Cortex software and a Raspberry Pl device comprising an original solution in the field of control based on the BCI brain-computer interface technology. For the purposes of the conducted research, a Raspberry PI with a Wi-Fi module was used. The Raspberry PI was connected to a universal board, which enabled easy linking of other modules, to be controlled by the persons operating the solution. The brain-computer interface developed by Emotiv (EPOC+ NeuroHeadset) communicates with the Emotiv Cortex software, the messages are sent to the Raspberry PI 2B and then can be used to control a device operating in a smart home system.

关键词： WebSocket JSON BCI Transmit data

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Research on Gale Forecast Method of Yangpu Port Based on Random Forest Model

Research on Gale Forecast Method of Yangpu Port Based on Ran...

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IEEE international conference on High Performance computing and Communications (HPCC)

作者： Wanting Wang Liang Chen Yucong Duan Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province Hainan Province Meteorological Service Centre Haikou China Hainan University Haikou China

According to the quantitative analysis of the prediction effects of grid forecast gusty wind speed on intelligent grid from March 2018 to June 2020, it is found that the prediction precision rates of wind force at all grades are not high, and they are inappropriate to serve as meteorological service products directly. Therefore, it is necessary to find a suitable method to correct them. In this paper, the random forest regression algorithm is used to establish the optimal gusty wind correction regression model by selecting the important characteristic variables and the optimal parameters. And then, the correction effects of the model are evaluated and the business trial operation is carried out. Through analysis, the trail operation results show that the correction effects of the random forest regression model are relatively effective, but only for the large sample data of wind-force 0–5. Consequently, the model prediction data can be considered to be used in the prescribed limit of gale forecast, and the grid forecast data of wind-force 6 and above have better precision rates, which can be used in the superior limit of gale forecast.

关键词： Statistical analysis smart cities Wind speed Force Forestry Predictive models Prediction algorithms

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Tech Care: An Efficient Healthcare System Using IoT 2nd

Tech Care: An Efficient Healthcare System Using IoT

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2nd international conference on computing, Communications and data Engineering (CCODE)

作者： Kotha, Murali Mohan Sri Venkateswara Univ Sree Vidyanikethan Degree Coll Dept Math Sci Tirupati 517102 Andhra Pradesh India

ISBN: (纸本)9789811501357;9789811501340

It is the dawn of new computing era-Internet of Things (IoT). It consists of seamless blending of sensors, which monitor the environment around us and actuators, that respond to the decisions taken by a strong framework of cloud computing. The lifestyle changes of people have been resulting in increase in their health problems. This demands a need for cyber-physical smart pervasive frameworks involving ubiquitous healthcare system. The health care is one of the number of application domains of Internet of Things. With Internet of Things, many medical applications can be developed such as monitoring health remotely, fitness programs, elderly care, and chronic diseases with an idea to reduce costs, increase quality of life, and enrich the user's experience. Many countries and organizations have been developing policies and guidelines for deploying the Internet of Things technology in medical field. However, the Internet of Things is in its infancy state in the area of healthcare field. Thus, this paper focuses on discussing core technologies that are shaping Internet of Things-based healthcare. Further, the paper provides challenges that must be addressed so that the Internet of Things-based healthcare system becomes robust.

关键词： The Internet of Things Body Sensor Networks smart devices smart cities Healthcare monitoring Wearable devices Human activity recognition

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Energy-Efficient Task Caching and Offloading Strategy in Mobile Edge computing Systems 2nd

Energy-Efficient Task Caching and Offloading Strategy in Mob...

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2nd international conference on Security with intelligent computing and Big-data Services (SICBS)

作者： Chen, Qian Liu, Zhoubin Ruan, Linna Wang, Zixiang Shao, Sujie Qi, Feng Beijing Univ Posts & Telecommun Beijing 100876 Peoples R China State Grid Zhejiang Elect Co Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9783030169466;9783030169459

As the limited processing power and energy of mobile terminals, the QoS of delay-sensitive service cannot be guaranteed. This paper proposes an SDN-based task caching and offloading strategy (SD-TCO) by mobile edge computing technology. The strategy mainly includes two algorithms: SDN-based mobile edge computing network (SD-MEN) task caching algorithm and branch-bounding algorithm based on greedy strategy. The SD-MEN task caching algorithm is used to increase the cache hit ratio by saving the frequently called task results on the edge server, and the branch-bounding algorithm based on greedy strategy is used to offload the task reasonably, which can ensure the QoS of users and minimize energy consumption. Simulation results show that SD-TCO has achieved effective improvement in stable delay and energy consumption.

关键词： Mobile Edge computing SDN Greedy strategy Cache

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Proceedings - IEEE Congress on Cybermatics: 2020 IEEE international conferences on Internet of Things, iThings 2020, IEEE Green computing and Communications, GreenCom 2020, IEEE Cyber, Physical and Social computing, CPSCom 2020 and IEEE smart data, smartdata 2020

Proceedings - IEEE Congress on Cybermatics: 2020 IEEE Intern...

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2020 IEEE Congress on Cybermatics: 13th IEEE international conferences on Internet of Things, iThings 2020, 16th IEEE international conference on Green computing and Communications, GreenCom 2020, 13th IEEE international conference on Cyber, Physical and Social computing, CPSCom 2020 and 6th IEEE international conference on smart data, smartdata 2020

ISBN: (纸本)9781728176475

The proceedings contain 135 papers. The topics discussed include: real-time operating systems for cyber-physical systems: current status and future research;a semi-supervised dynamic ensemble algorithm for IoT anomaly detection;an efficient hybrid approach for brain tumor detection in MR images using Hadoop-MapReduce;drug-drug interaction extraction using pre-training model of enhanced entity information;breast cancer image classification based on CNN classifier;an assessment of the usability of machine learning based tools for the security operations center;machine learning recognition of gait identity via shoe embedded accelerometer;leveraging walking inertial pattern for terrain classification;multicast traffic throughput maximization through dynamic modulation and coding scheme assignment in wireless sensor networks;and X-DOG: an intelligent x-ray-based dangerous goods detection and automatic alarm system.

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The Privacy Preserving Framework with Virtual Ring and Identity-Based Cryptography for smart Grid 17th

The Privacy Preserving Framework with Virtual Ring and Ident...

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17th international conference on Information Technology: New Generations, ITNG 2020

作者： Chen, Yu-Wen Sutanto, Leonard New York City College of Technology BrooklynNY United States

ISBN: (纸本)9783030430191

One of the main challenges in the smart grid is how to efficiently manage the high volume data from smart meters and sensors and preserve the privacy from the consumption data to avoid potential attacks (e.g., identity theft) for the involved prosumers, retail electricity providers and other clusters of distributed energy resources. This paper proposes a two-layer framework with the cloud computing infrastructure. The virtual ring and identity-based cryptography are utilized in each layer to preserve privacy efficiently. The methods of the virtual ring and identity-based cryptography are introduced. The purposes and needs are discussed at the end of this paper. © Springer Nature Switzerland AG 2020.

关键词： smart power grids

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Research and design of intelligent service platform for "migratory bird" pension

Research and design of intelligent service platform for "mig...

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

作者： Huang, Xueqin Dong, Ge Geng, Qiang The College of Engineering and Technology Hainan College of Economics and Business Haikou571127 China Network College Haikou University of Economics Haikou571127 China

ISBN: (纸本)9789811525674

Hainan Island is like spring all the year round, and the average temperature in winter is above 22 °C. Every November, a large number of the migratory birds elderly come to the island for winter, and leave the island in March next year. Many migratory birds elderly said that the original chronic disease has been significantly alleviated here, but there are many inconveniences in strange places. In order to make migratory birds elderly integrate into the local area as soon as possible, facilitate the management of local organizations and provide all kinds of old-age services for the migratory birds elderly, this paper designs a migratory bird care service platform combining Internet plus technology, integrates the resources of public pension services, optimizes allocation, and improves the quality and efficiency of the elderly care service for migratory birds. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Birds

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