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IoT Enabled Electronic Security & Remote Monitoring Solution For Electric Bikes 3

IoT Enabled Electronic Security & Remote Monitoring Solution...

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3rd IEEE international Power and Renewable Energy conference (IPRECON)

作者： Joy, Anna Mariya Ravi, Aravind Roy, Jestin Karthikeyan, Gayathri V. Rajan, Thomas P. Mar Athanasius Coll Engn Dept Elect & Elect Engn Kothamangalam India

ISBN: (纸本)9781665491754

The Internet of Things (IoT) will be able to integrate a wide range of various and heterogeneous end systems transparently and smoothly, while also offering open access to chosen subsets of data for the creation of a wide range of digital services. The enormously wide range of devices, link layer technologies, and services that could be included in such a system makes it a very difficult undertaking to create a standard design for the IoT. This study suggests creating a short-distance shared transportation system with smart mobility. The system comprises of a charging station, a web application, a mobile application, a server, and an edge computing device that is mounted on an electric bike (e-bike). Each bicycle is regarded as a thing (Thing) that is linked to the internet, or a "Internet of Things" (IoT). The location, condition, and environmental parameters of the bike are uploaded to the web server for data analytics and display by an administrator-specific web application. Users can start utilising the bike sharing system by downloading a mobile app. The proposed system can be scaled to build a distributed shared mobility system that can fit hundreds of e-bikes.

关键词： Software analytics Visualization Internet of Things Electronic Security Electronic Mobility Remote Monitoring intelligent Transportation

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Adaptation of Seven-Layered IoT Architecture for Energy Efficiency Management in smart House 10

Adaptation of Seven-Layered IoT Architecture for Energy Effi...

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10th international Scientific conference on Computer Science, COMSCI 2022

作者： Kutseva, Milka Technical University of Sofia Plovdiv Branch Department of Computer Systems and Technologies 25 Tzanko Dustabanov Plovdiv4000 Bulgaria

ISBN: (纸本)9781665497770

This article provides an overview of the different types of Internet of Things (IoT) architectures, with more emphasis on new seven-layered model architecture for future big data-driven smart homes applied when building a system for achieving energy efficiency. One of the next evolutionary stages in Internet-based computations is the Internet of Things (IoT), which is already making a beneficial difference in a wide range of application sectors, including smart cities, sustainable living, healthcare, production, etc. We can transform the conventional grid into a more effective and intelligent energy grid with the help of IoT. The standards for various IoT technologies, including sensing, communication, and computing technologies, as well as how they relate to smart energy grids, will be the main focus of this article. Additionally, this article gives a thorough outline of the prior research on its IoT applications for smart Grid systems. We conclude by highlighting a brand-new layered architecture that is suggested for the management and processing of massive data in future smart Homes. The suggested Representational State Transfer (REST)-based architecture for future smart homes' efficient data interchange and processing activities has seven layers, including physical, fog computing, network, cloud computing, service, session, and application. © 2022 IEEE.

关键词： Fog computing

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Artificial Intelligence-Driven Predictive analytics for Early Detection of Chronic Diseases in Primary Healthcare

Artificial Intelligence-Driven Predictive Analytics for Earl...

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Innovative computing, intelligent Communication and smart Electrical Systems (ICSES), international conference on

作者： Sakshi Jaswal Shanoo Sharma Neha Parihar Department of Medical Lab Technology Student of Master in Medical Lab Science University School of Allied Science Chandigarh University Punjab India Department of Medical Lab Technology University School of Allied Science Chandigarh University Punjab India

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

To discover patterns and risk factors that are associated with chronic illnesses including diabetes, hypertension, and cardiovascular difficulties, the objective of this study is to investigate these connections. The usage of machine literacy algorithms and big datasets will be how this objective will be realized. To develop prophetic models that can relate early warning indicators, the procedure involves integrating patient data and electronic health records (EHRs). This is done to train the models. According to the findings, AI-driven approaches have the potential to greatly increase the delicacy and punctuality of judgments, which will finally result in the improvement of patient troubles and the reduction of expenses linked with healthcare. In addition to this, the paper includes a consideration of the ethical and practical challenges that are associated with the application of such technologies in the context of standard clinical practice. It places a focus on the significance of having robust data governance and continual model confirmation. This paper draws attention to the transformative potential of artificial intelligence in primary healthcare and urges for its abandonment to proactively treat chronic diseases and reduce the burden they place on society.

关键词： Hypertension Electric potential Ethics Medical services data models Predictive analytics Artificial intelligence Electronic medical records Standards Diseases

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intelligent Medication Vending Machine for Enhanced Adherence

Intelligent Medication Vending Machine for Enhanced Adherenc...

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computing and data analytics (ICCDA), international conference on

作者： K Sowndarya C Linda Hepsiba Department of Data Science Bishop Heber College (Affiliated to Bharathidasan University) Tiruchirappalli India

ISBN: (数字)9798331542573

ISBN: (纸本)9798331542580

In the field of healthcare, non-adherence to medications is still a big issue, which greatly influences the patients' outcomes and the efficacy of the prescribed medications. This paper proposes a smart solution to ensure patients adhere to health practitioners prescribed medication regimen, the intelligent Medication Vending Machine. The one proposed here has a fairly friendly UI, especially when entering prescription schedules and doses. It also arranges the spatial storage of pills and releases them at appropriate cycles throughout the day. A detailed reminder system incorporated into the system provides timely alarms at the scheduled time and 15 minutes to the appointment at the clinic. In this case, the dissemination of the results is handled via phone and email to the corresponding guardians if the patient has not ingested a medication within 15 minutes of the set time. Moreover, it monitors the quantity of medication stock and sends email alert to the guardians a week before stock exhaustion and followed by the reminder three days to the stock exhaustion and this ensures rapid restocking. By means of the convenient and intuitive GUI, the users can edit prescription details, dosage information, and schedules swiftly. This device is expected to increase the usage of drugs significantly by patients and in the process, improve the patient's condition, therefore, reducing health costs.

关键词： Schedules Costs Hospitals Refining Medical services Internet of Things Biomedical monitoring smart devices Standards Monitoring

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DIKW Upward Enabling Manufacturing from Digitalization in Industry 3.0 to Wisdom in Industry 4.0 23

DIKW Upward Enabling Manufacturing from Digitalization in In...

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23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on data Science and Systems, 19th IEEE international conference on smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big data Systems and Applications, HPCC-DSS-smartCity-DependSys 2021

作者： Yao, Xifan Wang, Kesai Ma, Nanfeng Mai, Haifeng Huang, Yansong Yang, Erfu School of Mechanical and Automotive Engineering South China University of Technology Guangzhou China University of Strathclyde Department of Design Manufacturing and Engineering Management GlasgowG1 1XJ United Kingdom

ISBN: (纸本)9781665494571

The upward progress in data-Information-Knowledge-Wisdom (DIKW) has advanced manufacturing from digitalization to networking in Industry 3.0, and to intelligence and even wisdom in Industry 4.0, which reveals the inevitable trend of manufacturing evolution from 'Computer Plus' to 'Internet Plus' to 'Knowledge Plus' and towards 'Wisdom Plus'. Wisdom manufacturing is the further development of intelligent/smart manufacturing in the form of social-cyber-physical system by integrating Internet of Things, Internet of Services, Internet by and for People, and Internet of Contents and Knowledge in manufacturing as a whole. © 2021 IEEE.

关键词： Industries Technological innovation Sociotechnical systems smart cities Production Manufacturing Fourth Industrial Revolution

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Managing smart Urban Transportation with the integration of Big data Analytic Platform

Managing Smart Urban Transportation with the integration of ...

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international conference on Contemporary computing and Informatics (IC3I)

作者： Sanika Nitin Kunjir Sakshi Sanjay Patil Bhakti Sunil Hingane Janvi Anand Pagariya Mamoon Rashid Vishwakarma University Pune India

Urban traffic management is a major challenge for cities worldwide, but with the help of technology, such as big data analytics and intelligent transport systems, cities are working to improve their situations. An integrated big data analytics platform has the potential to change transportation networks for the better, providing real-time insights that can be used for decisions. By collecting and analyzing real-time data from various sources, such as traffic sensors and GPS, we can predict traffic flow and create plans more efficiently. This paper will explore how an integrated big data analytics platform can be used to improve urban transportation management. It discusses some of the challenges that urban transportation systems face and provides insights from government officials and industry experts. The importance of this paper reviews fundamental concepts such as big data analytics and smart cities so that you have a better understanding of what this technology can do. Afterwards, it identifies opportunities for improving urban transportation networks using big data analytics.

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Evaluation of Older Adults Fitness Level and Accomplishments with Fuzzy Similarity Relations and data analytics Techniques 9th

Evaluation of Older Adults Fitness Level and Accomplishmen...

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9th international conference on Frontiers in intelligent computing: Theory and Applications, FICTA 2021

作者： Encheva, Sylvia Western Norway University of Applied Sciences Bergen Norway

ISBN: (纸本)9789811666155

Increasing amount of aging population worldwide is a matter of concern to politicians, healthcare providers, economists, and researchers among many others. A number of studies emphasize the importance of physical fitness for keeping older adults healthy and strong in their retirement life. Among the many open questions here are those related to how to evaluate their physical fitness at the beginning of a training program, recommend appropriate set of exercise, and provide a reasonable estimation of what an individual can expect to accomplish in a relatively short period of time, like for example in terms of months. Such estimations may contribute to building stronger motivation for more physical activities among older adults and contribute to a better quality of life. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： data analytics

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Zero-touch security automation mechanisms for edge NFV: the π-Edge approach 18

Zero-touch security automation mechanisms for edge NFV: the ...

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18th international conference on Network and Service Management (CNSM) - intelligent Management of Disruptive Network Technologies and Services

作者： Valantasis, Alexandros Psaromanolakis, Nikos Theodorou, Vasileios Intracom Telecom Athens Greece

ISBN: (纸本)9783903176515

The shift towards distributed computing architectures that push data storage and processing to the edge of the network, is resulting into a convergence of cloud-computing services and next generation mobile network technologies. In order to uniformly manage resources and services in the formed cloud/core to edge/devices continuum and to handle the diversity of multi-party underlying infrastructure technologies in a latency-aware, reliable and trustworthy fashion, management automation has become more crucial than ever. In this work, we present the security analytics mechanisms of the p-Edge platform-our edge management platform that embodies zerotouch automation features for interoperability, Quality of Service (QoS) assurance, resilience and trust. To this end, we introduce a declarative NFV MANO Information Model (IM) and methods for automatically enhancing Network Slices at the edge, with security services that i) continuously monitor user-plane traffic on the links between Virtual Network Functions (VNFs), ii) detect possible network vulnerabilities or malicious behaviour and iii) apply relevant actions to effectively observe and mitigate identified threats. The implementation of such mechanisms is evaluated through experimentation on a use case of DDoS attacking scenarios, showcasing the usability and the benefits of our proposed solution.

关键词： Edge computing Network slice security automation Platform as a Service Edge lifecycle management

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smart Transportation Using Fog computing 2nd

Smart Transportation Using Fog Computing

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2nd international conference on data Science, Machine Learning and Applications, ICDSMLA 2020

作者： Shaikh, Rizwana Modak, Masooda SIES Graduate School of Technolgy Navi Mumbai India

ISBN: (纸本)9789811636899

In the era of all smart applications with connected things, there is a need to tackle the issues of data preprocessing, increased latency in data and the overhead in traffic. intelligent transportation systems (ITS) is one such application. Fog computing can be used as a support or replacement of cloud computing to solve the issue of data latency and traffic overhead. The paper proposes Fog computing based smart transportation application prototype that can be achieved by providing inter-fog communication. The communication over a distributed network is presented to cover a large geographical area. The inter-fog communication in the smart transportation could ensure the edge nodes managing the traffic lights and the street light control to be locally handled by the respective fog nodes with real time traffic reports. It can also provide suggestions for alternate routes at the time of congestion. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Fog computing

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Business analytics: Trends and Challenges

Business Analytics: Trends and Challenges

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international conference on intelligent Emerging Methods of Artificial Intelligence and Cloud computing, IEMAICLOUD 2021

作者： Yugal, Lisha Department of Computer Science and Engineering Sanskriti University Uttar Pradesh Mathura India

ISBN: (纸本)9783030929046

In this futuristic era data is the new gold for all the investors and so to the business men. data-driven insights are being used to improve decision making with the research of its possible effects to the particular organization. Decision makers utilize all the applications of business analytics and intelligence i.e. BA & I for the futuristic growth of their enterprises. BA & I are spurring technologies which will reach world’s umbrella in no time. This review paper will discuss the trends and challenges faced by the business analyst while implementing various methodologies not limited to Partial least squares i.e. PLS and 5-step methodology. The framework revolves around the different areas of analytics and big data. We will gain vast knowledge from huge amount of information generating from different channels over different areas and difference between PLS model and 5-step methodology has been highlighted with respect to the small scale enterprises as both are able to handle the small set of samples. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Decision making

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