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Valuation of the Impact of the Covid-19 Global Pandemic on the Sector of Professional, Technical, and Administrative Activities in Ecuador for the Year 2020 5

Valuation of the Impact of the Covid-19 Global Pandemic on t...

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Joint 5th international conference on Applied Informatics Workshops, ICAIW 2022: 3rd international Workshop on Applied Artificial Intelligence, WAAI 2022, 4th international Workshop on Applied Informatics for Economy, Society, and Development, AIESD 2022, 5th international Workshop on data Engineering and analytics, WDEA 2022, 1st international Workshop on intelligent Transportation Systems and smart Mobility Technology, WITS 2022, 2nd international Workshop on Knowledge Management and Information Technologies, WKMIT 2022 and 1st international Workshop on Systems Modeling, WSSC 2022

作者： Cañizares, Nelson Guillermo Granja Reyes, Pablo Ricardo San Andrés Chévez, Ivonne Elizabeth Paredes Universidad Ecotec Samborondón Ecuador Universidad Nacional del Rosario Rosario Argentina

The Covid-19 pandemic has generated alert and dynamic changes in industries and companies worldwide, and in response to the adaptation process, new ways with technological innovation have achieved resilience, and new sectors have emerged without precedent, mainly in some Ecuadorian sectors to promote economic reactivation, increasing the demand for new services. The objective of the research is to assess the impact of the Covid-19 global pandemic on the sector of Professional, Technical and Administrative activities in Ecuador for the year 2020. The research is descriptive, explanatory, and bibliographic, with a mixed methodology and a non-experimental cross-sectional investigation, adapting a non-probabilistic sampling, analytical method, and statistical analysis of data series. Among the most relevant results is that the global Covid-19 pandemic produced growth in the sector mentioned before. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： Sampling

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IoT in smart farming analytics, big data based architecture

IoT in smart farming analytics, big data based architecture

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international KES conference on Human Centred intelligent Systems, KES-HCIS 2020

作者： Ouafiq, El Mehdi. Elrharras, Abdessamad Mehdary, A. Chehri, Abdellah Saadane, Rachid Wahbi, M. Casablanca Morocco University of Quebec at Chicoutimi ChicoutimiQCG7H 2B1 Canada

ISBN: (纸本)9789811557835

The concern over smart Farming is growing, where Internet of Things (IoT) technologies are highlighted in the farm management cycle. Also a large amount of data is generated via different channels such as sensors, Information Systems (IS), and human experiences. A timely right decision-making by monitoring, analyzing, and creating value from these Big data is a key element to manage and operate the farms smartly, and is also bound to technical and socio-economic constraints. Given the fact, in this research, we work on the implication of Big data technologies, IoT, and data Analysis in agriculture. And we propose a smart Farming Oriented Big data Architecture (SFOBA). © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020.

关键词： Internet of things

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Robust IoT Based Parking Information System 9th

Robust IoT Based Parking Information System

引用

9th international conference on smart Cities and Green ICT Systems, smartGREENS 2020, and 6th international conference on Vehicle Technology and intelligent Transport Systems, VEHITS 2020

作者： Makke, Omar Gusikhin, Oleg Global Data Insight and Analytics Ford Motor Company Michigan Avenue DearbornMI22001 United States

ISBN: (纸本)9783030891695

In this paper, we propose an adaptive parking information system. In this system, sensors and cameras monitor choke points in a parking space. Using process discovery algorithm, and by adhering to assumptions described in this paper, a Petri Net model is generated which tracks the occupancy of the parking space. This model automatically adapts to adding or removing sensors and to sensor failures. We also discuss how to detect sensor failures using relatively small amount of data. A use case is also provided which demonstrates the benefits of parking information system to smart cities. © 2021, Springer Nature Switzerland AG.

关键词： Petri nets

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A Survey on Applications of Modern Deep Learning Techniques in Team Sports analytics 12th

A Survey on Applications of Modern Deep Learning Techniques ...

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12th international conference on Soft computing and Pattern Recognition, SoCPaR 2020 and 16th international conference on Information Assurance and Security, IAS 2020

作者： Mgaya, Gervas Batister Liu, Hongbo Zhang, Bo Department of Intelligence Science and Technology College of Information Science and Technology Dalian Maritime University Dalian116026 China

ISBN: (纸本)9783030736880

The recent advancement of deep learning algorithms has paved the way to many technological applications and research areas. The field of team sport analytics is one of the interesting research areas in which deep neural network techniques are applied. Availability of both tracking and visual data in sports coupled with the recent development in computing process has made sport analytics via deep learning approach possible. However, comprehensive surveys on these deep learning techniques as leveraged in sport analytics are still limited. This paper attempts to provide a survey along with references for further studies on modern state-of-the-art deep learning techniques leveraged to two typical team sport namely soccer and basketball, where multi-agent interactions and coordination are highly observed. We expect this paper to serve as an insightful and handful resource on team sport analytics for both sports practitioners and researchers from machine learning perspective. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Multi agent systems

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Framework for the Deployment of intelligent smart Cities (ISC) using Artificial Intelligence and Software Networking Technologies

Framework for the Deployment of Intelligent Smart Cities (IS...

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Advance computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： Nachaat Mohamed Ramakant Upadhyay Geethamanikanta Jakka P V Rambabu Badria Sulaiman Alfurhood Devesh Pratap Singh Rabdan Academy UAE Homeland Security Universiti Sains Malaysia Abu Dhabi UAE Department of CSE Sanskriti University Mathura Uttar Pradesh India Data Analytics Information Technology University of the Cumberlands USA Civil Engineering Department of Computer Sciences College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Saudi Arabia

This article’s goals include providing a framework for interpersonal and communication to safeguard welfare services and assess how well the innovation ecosystem is now understood. An essay starts with an overview or description of "urban area" This viewpoint includes neighborhood services, modern amenities, or smart infrastructure. Information and technology, digital operations use, monitoring, and interconnection, amongst other things. The section that follows examines various urban planning concerns, either administration or expansion. Utilizing diverse technologies effectively is made possible by innovative information about towns or an answer to a question concerning high-quality public infrastructure. An innovative method of managing networks is the Software Defined Network (SDN) architecture. Unlike switches in a conventional network computing environment, changes in SDN do not process inbound sachets in the similar means. If no inbound packets are identified after searching the linking tables, they are passed to the control system, the SDN’s operating system, for processing. A Spread Denial of Service (DoS) outbreak poses the biggest risk to the cyber security of an SDN *** system or application layers of the disease-ridden devices connected to the system will be the target of the attack. The approach for determining whether incoming packets are contaminated or not is clever machine learning-based, and it is proposed in this paper. In the context of smart cities, the deployment of artificial intelligence (AI) has newly drawn more and more attention. The purpose of this study is to perform a works assessment to examine the role of AI in the various parts of smart towns given the relevance of the topic. This study’s technique combines a thorough literature evaluation to find the most pertinent papers with reference system investigation to reveal the subtleties of the subject. The findings of this study highlight the significance of this technology, whi

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Construction of English Learning Community in the smart City Environment

Construction of English Learning Community in the Smart City...

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

作者： Gao, Liying Shandong Women’s University JinanShandong Province250001 China

ISBN: (纸本)9783030627454

smart city is an emerging concept mentioned in urban construction in recent years. It creates efficient, fast, flexible and clear intelligent responses to the needs of different aspects and different levels, creating a person and society, people and people, people and things A harmonious environment. Adhering to the people-oriented concept, the English learning community places English learners at the center of English learning, and relies on the platform of lifelong education and lifelong English learning to improve the lifelong English learning ability of community members, thereby driving the continuous development of the entire community. Therefore, it is becoming more and more important to build English learning communities in smart cities. This article elaborates the basic strategies of constructing English learning communities in smart cities in China. The guiding ideology and overall goals and basic principles of the construction of smart city English learning communities are clarified, and the four aspects of constructing a modern education system, social service system, individual culture system, and characteristic resource system are used to build a smart city English learning community in China. The scientific design of the construction provides a feasible path for the research of this article from theory to practice. Finally, in the form of questionnaire surveys and interviews, the status quo of the construction of English-speaking communities in smart cities in China was investigated. Based on the information and data of the survey items, the problems in the construction of English-speaking communities in smart cities were raised. It also analyzes and summarizes key issues such as basic cognition, system architecture, and resource guarantee, providing a realistic basis for the further development of this thesis. The survey results show that about 19% of the community residents think that the construction of a learning community has little to do with th

关键词： smart city

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mHealth for Mental Health 3rd

mHealth for Mental Health

引用

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

作者： Saxena, Mohit Deo, Anveshita Saxena, Ankur Sup’Biotech Paris94800 France Amity University NoidaUttar Pradesh201303 India

ISBN: (纸本)9789811551123

An individual’s physiological and social well-being shapes their mental health. Mental health is indicative of one’s cognitive behaviour and emotional well-being. Everything around us is connected through virtue of a network—Internet. The Internet is a tool for information, communication and connectivity. It has been predicted that three-quarters of Internet users will access Internet solely via smartphones in the coming years. This brings an opportunity to monitor health care using smartphone technology. mHealth holds enormous untapped potential in the near future, especially, in the arena of personalised health care and eventually personalised medicine. With data-intensive diagnostics and imaging coming into play, a gigantic amount of data is being collected and stored. In this paper, we have mentioned the importance of mental health, its characteristics and how mHealth devices (smartphone, smart devices, bio-sensors etc.) can play a key role in managing and coping with mental health problems. We have further analysed the behavioural patterns of active smartphone and smart device users globally as opposed to the active users in a particular region. An analysis of the percentage of population suffering from different mental health problems has been undertaken and a solution to these using mHealth architecture and data analytics proposed. We have also highlighted how mHealth sensory system with its 5 potential P’s (Preventive, Personalised, Predictive, Participatory, Psycho cognitive) can revolutionise the mental health landscape. © 2021, Springer Nature Singapore Pte Ltd.

关键词： data analytics

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Does "smart City" Policy Promote Urban Innovation?

Does "Smart City" Policy Promote Urban Innovation?

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international conference on Multi-modal Information analytics, MMIA 2021

作者： Chen, Weili School of Economics Shanghai University Shanghai China

ISBN: (纸本)9783030748135

The construction of "smart city" is a new urbanization development mode that promotes intensive, intelligent, green and low carbon, aiming at enhancing the innovation capability of the city and further promoting the high integration of industrialization, urbanization and informatization. Based on the panel data of 279 prefecture-level cities in China from 2005 to 2015, this paper uses PSM-DID method to comprehensively investigate the impact characteristics and mechanism of "smart city" construction on urban innovation capability. The main conclusions are as follows: First of all, the construction of "smart city" can significantly promote the city’s innovation capability. Secondly, mechanism analysis shows that the construction of "smart city" can effectively promote economic agglomeration and promote the level of urban informatization construction, thus enhancing the innovation capability of the city. Finally, the analysis of urban heterogeneity shows that in cities with high level of human capital, high intensity of scientific and technological financial expenditure and high level of financial development, smart city construction has a more significant effect on improving urban innovation capability. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： smart city

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Towards Energy Efficiency in Microgrids for smart Sustainable Cities 2nd

Towards Energy Efficiency in Microgrids for Smart Sustaina...

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2nd international conference on Sustainable smart Cities and Territories, SSCT 2023

作者： Isanbaev, V. Baños, R. Gil, C. Gil, M.M. Martínez, F. Alcayde, A. Department Engineering University of Almería Carretera de Sacramento s/n La Cañada de San Urbano Almeía04120 Spain Department Informatics University of Almería Carretera de Sacramento s/n La Cañada de San Urbano Almeía04120 Spain

ISBN: (纸本)9783031369568

Microgrids are a critical component of smart and sustainable cities as they provide localized power generation and distribution that can be optimized for efficiency, cost, and environmental impact. Further, many microgrids are characterized for the presence of smart homes, which are an integral part of smart cities as they play a crucial role in improving the overall efficiency and sustainability of urban areas. One of the primary benefits of smart homes is the ability to reduce energy consumption and carbon emissions, for example, by automatically adjusting the temperature, lighting, and other settings to optimize energy usage based on the users’ needs and preferences. However, the efficient management of smart homes located in microgrids is still an open question. In particular, the efficient management of microgrids including smart homes requires measuring and processing a large amount of electrical data related to the energy generated by the power sources of the microgrid, the energy consumed by the loads (home appliances), the level of battery storage and the amount of transferred power flow between the microgrid and the main grid. This paper reflects on how to measure electrical variables at different points of the microgrids using low-cost smart meters with IoT capabilities and how to apply Non-Intrusive Load Monitoring (NILM) methods for energy efficiency purposes. The empirical study involving a real microgrid including a hybrid wind-solar generation system and a set of home appliances show that it is possible to collect data of different parts of the microgrid for efficient management purposes. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： smart meters

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2nd Big data analytics for Cyber-Physical System in smart City, BDCPS 2020

2nd Big Data Analytics for Cyber-Physical System in Smart Ci...

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2nd Big data analytics for Cyber-Physical System in smart City, BDCPS 2020

ISBN: (纸本)9789813345737

The proceedings contain 271 papers. The special focus in this conference is on Big data analytics for Cyber-Physical System in smart City. The topics include: Research on Construction of Campus smart Card System and Digital Campus;measurement High-Quality Urbanization Development Based on Composite System—Take Western China as an Example;research on intelligent Monitoring System for Anti-stealing Electricity;application of Text Proofreading System Based on Artificial Intelligence;application of Information Fusion in Fault Diagnosis of Electronic Products;Blended Teaching Reform and Practice of Tax Law Based on TPACK Framework;oil and Gas Detection and Recovery Methods in Oil and Gas Storage and Transportation Based on Artificial Intelligence;Application of Improved BP Neural Network to the Modeling of Electric Gear Pump;a Method of Complex System Reliability Evaluation Based on Universal Generate Function;the Co-construction and Sharing Mechanism of University Library Resources Based on the Hyper-network Perspective;knowledge Field Activity of Industry-University-Research Alliance on 5G Knowledge Flow and 5G Technology Innovation Performance;the Mode of Computer-Aided Translation Under the Background of Big data Innovation and Development;Decision Tree Classification Algorithm in College PE Teachers’ Score Analysis;improvement and Optimization of ZigBee Network Routing Algorithm;artificial Intelligence in the Field of Driverless Cars;object-Oriented database and O/R Mapping Technology;application of a Classroom Check-In and Naming System;analysis of Rural Inclusive Finance Development Path Based on "Internet +" Perspective;supply and Demand Congestion of Tourism Based on the Big data Method-Take Guilin as Example;architectural Design of a Campus Second-Hand Commodity Trading Platform.

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