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共 3243 条记录，以下是141-150 订阅

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"smart City" Governance Technologies Development in the Era of the 4th Industrial Revolution

"Smart City" Governance Technologies Development in the Era ...

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intelligent Systems conference (IntelliSys)

作者： Kuznetsov, Mikhail Nikishova, Maria Belova, Anna Lomonosov Moscow State Univ Leninskie Gory 1s46 Moscow 119234 Russia

ISBN: (纸本)9783030295134;9783030295127

The authors investigate main trends of smart-city topic, describe the features and differences of "smart city" from the cities of the 20th century, attract attention to the fact of difference between smart-city management and smart-city governance. After that the authors show challenges connected with smart-city governance and provide a tool for the effective smart-city governance - "smart city governance analytical panel". "smart city governance analytical panel" is the authors solution for city governance improvement. The main idea of this tool is to combine space modelling with socio-economic predictive analytics, to produce a complex strategic planning tool for future city development, which allows all stakeholders and citizens participate in discussions and decision making. Due to the effectiveness of this decision, it is important to identify the risks of smart city management in general and the risks of using this panel in particular. In this connection, the authors continue to improve the described panel, planning the introduction of artificial intelligence for predictive analytics based on big data and artificial intelligence, which requires further theoretical study and justification from a scientific position.

关键词： smart-city City management City governance Urban governance Artificial intelligence smart city governance analytical panel

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Enterprise of Future: Leveraging Information, Communication and Technology (ICT) and Social Interactions (SI) for Growth 3rd

Enterprise of Future: Leveraging Information, Communication ...

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3rd international conference on smart computing and Informatics (SCI)

作者： Swain, Sukanta Chandra Singh, Ramnish KIIT Deemed Univ Sch Humanities Bhubaneswar India Amazon Web Serv Washington DC USA

ISBN: (纸本)9789813296909;9789813296893

This paper discusses enterprise of future (EoF), an enterprise which takes advantage of the advances in information, communication and technology (ICT) and social interactions (SI) for its growth. The paper first discusses the current trends and then maps these trends to enterprise of future and showcases how enterprises can empower their employees and reap benefits of these advances. The paper also traces the day in a life of an employee who transitions between multiple devices, multiple connections and multiple locations with seamless access to application and data.

关键词： Information Communication and technology Social interactions Social Mobility Cloud analytics Big data Enterprise of future

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A Novel Technology for smart Agriculture Based on IoT with Cloud computing

A Novel Technology for Smart Agriculture Based on IoT with C...

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international conference on I-SMAC (IoT in Social, Mobile, analytics and Cloud) (I-SMAC)

作者： Mekala, Mahammad Shareef Viswanathan, P. VIT Univ Sch Comp Sci Engn SCOPE Vellore Tamil Nadu India VIT Univ SITE Vellore Tamil Nadu India

ISBN: (纸本)9781509032433

Internet of Things (IoT) is one of the fastest developing technologies throughout the India. But, most of the population (70%) in India depending on agriculture. This situation is one of the reason, that hindering the development of country. in order to solve this problem only one solution that, smart agriculture by adding new technological methods instead of present traditional agriculture methods. Hence we proposed new IoT technology with cloud computing and Li-Fi. Wi-Fi is great for general wireless coverage within buildings, whereas Li-Fi[10] is wireless data coverage with high density in confined area. Li-Fi provides better bandwidth, efficiency, availability and security than Wi-Fi and has already achieved blisteringly high speed in the lab. First this project includes remote controlled process to perform tasks like spraying, weeding, bird and animal scaring, keeping vigilance, moisture sensing, etc. Secondly it includes smart warehouse management which includes temperature maintenance, humidity maintenance and theft detection in the warehouse. Thirdly, intelligent decision making based on accurate real time field data for smart irrigation with smart control. Controlling of all these operations will be through any remote smart device or computer connected to Internet and the operations will be performed by interfacing cameras, sensors, Li-Fi or ZigBee modules.

关键词： Internet of Things (IoT) Cloud computing Li-Fi Gprs Agriculture Monitoring Irrigation Routing Protocol

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Multi-perspective Process Variability: A Case for smart Green Buildings

Multi-perspective Process Variability: A Case for Smart Gree...

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6th IEEE international conference on Service-Oriented computing and Applications (SOCA)

作者： Murguzur, Aitor Hong-Linh Truong Dustdar, Schahram Information Technologies Area IK4-Ikerlan Research Center Spain Distributed Systems Group Vienna University of Technology Austria

ISBN: (纸本)9781479927012

The variability scale in large-scale Cyber-Physical Systems (CPSs) is high and complex due to the voluminousness, dynamicity and diversity of available computing resources (people, things and software services), domain-specific processes, domain-specific elements (stakeholders, assets and contracts), and their relationships. This requires us to go beyond current variability modeling and management techniques which neglect the complexity and the diversity of relevant stakeholders, data and assets, and thus cannot cope with intelligent business and analytics requirements in dynamic environments, such as smart city management. In this paper, we present a comprehensive analysis for understanding the multi-perspective variability in processes atop people, data and things in CPSs, particularly, for the sustainability governance of smart Green Buildings (SGBs). We examine domain-specific processes and domain-specific elements and their relationships to derive a multiple-perspective variability management for SGBs. On the basis of this, we conceptualize a novel model for the multi-perspective process variability representation.

关键词： smart city smart building variability process configuration

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data-driven Digital Therapeutics analytics

Data-driven Digital Therapeutics Analytics

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IEEE international conference on Big data and smart computing (BigComp)

作者： Lee, Uichin Jung, Gyuwon Park, Sangjun Ma, Eun-Yeol Kim, Heeyoung Lee, Yonggeon Noh, Youngtae Korea Adv Inst Sci & Technol Sch Comp Daejeon South Korea Korea Adv Inst Sci & Technol Ind & Syst Engn Daejeon South Korea KENTECH Energy AI Naju Jeollanam Do South Korea

ISBN: (纸本)9781665475785

Digital therapeutics (DTx), in contrast to traditional treatments such as pills, use software installed in smartphones or wearable devices as a medical device to cure diseases and improve health conditions, which represents a significant departure from existing wellness products such as Fitbits. DTx requires clinical validation of efficacy through systematic clinical trials, as do conventional therapeutics. Mobile DTx apps transform conventional treatment approaches such as counseling, self-help, and self-tracking into app-based micro-interventions that can be delivered via notifications, short videos, and chatbots. This article presents a data-driven DTx analytics framework for analyzing and optimizing DTx delivery processes in everyday life contexts by leveraging passive sensor data analysis and human-in-the-loop interaction support.

关键词： Digital Therapeutics DTx data Analysis Proactive Engagement Management

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Massive-Scale Gaze analytics Exploiting High Performance computing 1

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7th KES international conference on intelligent Decision Technologies (KES-IDT)

作者： Duchowski, Andrew T. Bolte, Takumi Krejtz, Krzysztof Clemson Univ Sch Comp Clemson SC 29634 USA Univ Social Sci & Human Natl Informat Proc Inst Warsaw Poland

ISBN: (数字)9783319198576

ISBN: (纸本)9783319198576;9783319198569

Methods for parallelized eye movement analysis on a cluster are detailed. The distributed approach advocates the single-core job programming strategy, assigning processing of eye movement data across as many cluster cores as are available. A foreman-worker distribution algorithm takes care of job assignment via the Message Passing Interface (MPI) available on most high-performance computing clusters. Two versions of the MPI algorithm are presented, the first a straightforward implementation that assumes faultless operation, the second a more fault-tolerant revision that gives nodes an opportunity of communicating failure. Job scheduling is also briefly explained.

关键词： High-performance computing Eye tracking Gaze analytics

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Evolutionary computing Assisted K-Means Clustering based MapReduce Distributed computing Environment for IoT-Driven smart City

Evolutionary Computing Assisted K-Means Clustering based Map...

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international conference on computing, Communication, and intelligent Systems (ICCCIS)

作者： Srinivas, Kunal G. Hosahalli, Doreswamy Mangalore Univ Dept Comp Sci Mangalore India

ISBN: (纸本)9781728185293

In the last few years, the exponential rise in urban population and allied demands have alarmed governing agencies as well as industries to achieve more quality-of-service (QoS) oriented solutions to meet up-surging demands, especially towards real-time decision making, information exchange and knowledge-driven decisions. To achieve it, smart city concept which employs Internet-of-Things (IoT), distributed software computing, and Bigdata analytics has gained widespread attention. Though, inclusion of QoS-sensitive routing has helped enabling better and efficient sensory or node's data collection and dissemination;however, ensuring optimal query-driven knowledge mining and information exchange has remained a challenge. Considering it as motivation, in this paper an evolutionary computing assisted K-Means clustering algorithm is developed for MapReduce computation in Hadoop distributed framework. The proposed method employs genetic algorithm to enhance centroid estimation as well as clustering, which as a result helped in achieving better clustering to support MapReduce. The proposed GA based K-Means clustering has been applied over Hadoop-MapReduce, where to achieve aforesaid centroid estimation and clustering enhancement Silhouette coefficient was used as the objective function. Here, GA-K Means was applied in such manner that it estimates optimized centroid and clusters simultaneously over Mapper and Reducer, which makes overall computation faster and more accurate.

关键词： Bigdata analytics Genetic Algorithm Hadoop MapReduce Clustering Distributed computing smart City

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A Novel Approach to Fashion-Based Analysis and analytics Using an intelligent In-store Camera System 5

A Novel Approach to Fashion-Based Analysis and Analytics Usi...

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5th international conference on Computer Science and Engineering (UBMK)

作者： Pur, Sezai Furkan Sagiroglu, Seref Browzzin Pte Ltd Yapay Zeka Takimi Ankara Turkey Gazi Univ MF Bilgisayar Muhendisligi Bolumu Ankara Turkey

ISBN: (纸本)9781728175652

Customer analysis and analytics at online and physical stores are used to decide customers' profiles and to develop selling strategy as an important approach in these days. Thanks to these approaches, stores can decide on their target customers and products quite easily. Deciding on these approaches can be made at online stores using some customer information such as profile data, shopping history, following products even though it cannot be done in an easy way at physical stores since they do not have similar information. In the current study;an end-to-end intelligent system using artificial intelligent models for fashion-based customer analysis and analytics in physical stores has been developed, and the processes have been conducted on the basis of personal data privacy. Edge computing and cloud computing have been used as a hybrid method, and such customer information as age, gender, ethnicity, emotion, clothes, clothes styles and clothes colors at physical stores have been detected. Following that, analysis and analytics information have been shown through a web interface. The results obtained have been able to be used for designs that are likely to be made in the future.

关键词： In-store intelligent Camera System Edge computing Cloud computing Customer Fashion Analysis Customer Fashion analytics

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Age-Aware Query Evaluation for Big data analytics in Mobile Edge Clouds 22

Age-Aware Query Evaluation for Big Data Analytics in Mobile ...

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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： Xia, Qiufen Ren, Wenhao Li, Mingchu Ren, Jiankang Dalian University of Technology International School of Information Science and Engineering Dalian116621 China Dalian University of Technology School of Software Dalian116621 China Dalian University of Technology School of Computer Science and Technology Dalian116024 China

ISBN: (纸本)9781728176499

The advancement of 5G technology and extensive usage of smart devices have led to a deluge of data. It is invaluable to analyze such big data by issuing queries to derive real-Time business insights for better, smarter and fact-based decisions. Timely big data analytics are crucial in many service domains, thus the age of data (AoD) required by queries is emerging as a novel metric that measures the freshness of data and evaluates the quality of data analytics. Traditional big data analytics that are performed in remote clouds cannot satisfy the AoD requirements of queries, due to the congested core networks and long transmission latency between users and clouds. The technique of mobile edge computing (MEC) is expected to reduce the age and guarantee the timeliness of queries for big data analytics, by processing data at edge cloudlets close to users. In this paper, we investigate a problem of age-Aware query evaluation for big data analytics in a mobile edge cloud network. We first formulate the problem with certain data processing latency as an Integer Linear Program (ILP). We then develop an online learning algorithm for the problem with uncertain data processing latency. We finally evaluate the performance of proposed algorithms against existing studies by simulations and testbed implementations. Evaluation results show that the proposed algorithms outperform existing works by achieving 20% lower AoD. © 2020 IEEE.

关键词： data analytics

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Communication Solutions for Power Measurement in the Cloud 12

Communication Solutions for Power Measurement in the Cloud

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12th IEEE international conference on Communications (COMM)

作者： Fernoaga, Vlad Stelea, George-Alex Robu, Dan Sandu, Florin Transilvania Univ Brasov Dept Elect & Comp Brasov Romania

ISBN: (纸本)9781538623503

Development in both embedded systems and industrial communications brings a new challenge in re-balancing Edge computing and Cloud computing, particularly in the smart Grids. This paper presents two sets of solutions for intelligent electricity "Cloud-counters" with local power measurement and with the tele-transmission of acquired voltage and current samples for the central active and reactive power computation in a smart-metering Cloud server with virtual instrumentation capabilities. Both solutions are using low-cost Wi-Fi interfacing, TCP transmission and centralized data logging and analytics based on National Instruments LabVIEW and DIAdem interoperability. For the transmission of data between the processing and the analytics layer a database was used as interface. DIAdem is able to retrieve raw information about measured data form the database and correlates this with attached meta information like timestamp and device MAC address. The limitations in the length of TCP transmission units are dealt with a quasi-PLL computation of the exact number of samples/period and a special time-domain formula of the reactive power involving the Hilbert transform of the voltage.

关键词： TCP Wi-Fi Edge computing Cloud computing smart Grids Virtual instrumentation LabVIEW DIAdem

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