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Analysis of Machine Learning Algorithms in smart Manufacturing

Analysis of Machine Learning Algorithms in Smart Manufacturi...

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international conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Dulini Ratnayake Pooja Lohit Bhopendra Singh Ved P Mishra Amity University Dubai UAE

ISBN: (数字)9781728170169

ISBN: (纸本)9781728170176

Digital twins, block chains, Internet of things (IoT) and artificial intelligence (AI) may re-define our imagination and future vision of globalization. Digital twins will likely affect most of the worldwide enterprises as it duplicates the physical models for remote monitoring, viewing and controlling based on numerous algorithms and its digital format. It is the digitalized living model of the physical system that continuously adapts to operational variations based on real-time data from numerous IoT sensors and devices and provides future forecasts corresponding to the physical counterparts with the help of machine learning and IoT. We have investigated the related research that is progressing in this field. In the context of IoT Cyber Physical Systems (CPSs), the major research areas such as machine learning and big data are examined. Machine learning facilitates the development of new models and technology systems in the domain of intelligent smart manufacturing.

关键词： Cloud computing Machine learning Computational modeling Sensors Industries Optimization Internet of Things

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A Management Information Systems Framework for Sustainable Cloud-Based smart E-Healthcare Research Information Systems in Bangladesh

A Management Information Systems Framework for Sustainable C...

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intelligent Technologies (ACOIT), Asian conference on

作者： Khandakar Rabbi Ahmed Rakibul Islam Md Ariful Alam Mir Araf Hossain Rivin Mahfuz Alam Md Shafiqur Rahman Miyan Research Institute International University of Business Agriculture and Technology Uttara Model Town Dhaka Bangladesh Dept. of Mechatronics Engineering Rajshahi University of Engineering and Technology (RUET) Kazla Rajshahi Bangladesh Dept. of MBA in Business Analytics International American University (IAU) 3440 Wilshire Blvd STE 1000 Los Angeles CA United States Dept. of MBA in Management Information System International American University (IAU) 3440 Wilshire Blvd STE 1000 Los Angeles CA United States Dept. of Mathematics Louisiana Tech University 201 Mayfield Ave Ruston LA United States

ISBN: (数字)9798350374957

ISBN: (纸本)9798350374964

Cloud technology provides a practical and suitable way to manage the massive amount of information and resources in the global era. Information technology offers a strong possibility of accelerating smart healthcare research information sharing through cloud technology at a low cost and with limited resources. Health care information is directly related to health providers, but there are minimal options to get available health care records in Bangladesh. Unfortunately, no data centre can handle the volume of health information being transferred to and from multiple healthcare providers through the Internet. The primary purpose of our Research is to introduce sustainable Cloud-Based smart E-Healthcare Research Information Systems (CSERIS) and to adopt them in Bangladesh. Throughout this article, we represent vital research tools in healthcare records and provider data, investigation, and healthcare system integration. We present a list of several possible answers, the best service, and more opportunities to implement (CSERIS). In this Research, we tried to assess different aspects and strengths, suitability, feasibility, weaknesses, opportunities, challenges, and strategies for the Bangladeshi health sector and enterprises. Researchers may also use (CSERIS) to get all process data for further analysis, Research, and development. Our solution is more straightforward, user-friendly, and robust than older methods.

关键词： Cloud computing Costs Software as a service Information sharing Medical services System integration Management information systems Usability Information technology Research and development

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An Improved IoT Framework data Transmission and Security using Light Weight Authenticated Key Management Mechanism

An Improved IoT Framework Data Transmission and Security usi...

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international conference of Electronics, Communication and Aerospace Technology (ICECA)

作者： Eisha Akanks CMR Institute of Technology Bengaluru India

ISBN: (数字)9781728163871

ISBN: (纸本)9781728163888

Internet of Things (IoT) is also known as an interconnected network between people and objects, which provides various services and fulfill the role for distinct applications. The main aim of IoT system is to restructure various lives in order to evolve and perform the tasks around different ways. IoT has many robust and scalable applications, which are used from basic user needs to industrial requirements to achieve faster communication between useis and objects. The researchers are combining IoT with Artificial Intelligence in cloud to form smart world and has served billions of devices. These devices can operate in distinct scenarios like environmental monitoring, smart grid, industrial intelligence, and were interconnected to central clouds. The central clouds have the ability to operate with powerful intelligent processing. The high complexity is created for privacy preserving operations by using encryption algorithms and it ensures the security of the acquired data during the transmission over internet. The structure of IoT is required to be improved to secure the data transmission due to the multiple challenges such as the usage of huge data, effective resource allocation. Therefore, it is essential to develop an efficient method to ensure the security with integrity to provide diagnostic information during transmission and reception of data in an IoT environment. The Light Weight Authenticated key management mechanism with edge based IoT environment (LWAKM-EIoT) is proposed in this research to evaluate False Positive Rate (FPR) which is an important parameter to determine the data transmission rate. The proposed LWAKMEIoT showed 2% of the improvement in FPR when compared to the existing Communicating Things Network (CTN) environments.

关键词： Peer-to-peer computing data communication Cloud computing Security Servers Authentication Encryption

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Reference Architecture for a Collaborative Predictive Platform for smart Maintenance in Manufacturing

Reference Architecture for a Collaborative Predictive Platfo...

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IEEE international conference on intelligent Engineering Systems

作者： Z. Balogh E. Gatial J. Barbosa P. Leitao T. Matejka Department of Parallel and Distributed Computing Institute of Informatics Bratislava Slovakia Polytechnic Institute of Bragança Bragança Portugal Mat-obaly s.r.o. Prievidza Slovakia

Maintenance is a key factor to ensure the production efficiency, since the occurrence of unexpected failures leads to a degradation of the system performance, causing the loss of productivity and business opportunities, which are crucial roles to achieve competitiveness. The article aims to propose a reference architecture which will improve the way maintenance is considered in the current manufacturing world, by enabling an overall increase of production rates, while increasing the operational equipment effectiveness and decreasing the impact of maintenance needs. This objective would be accomplished by establishing an IoT infrastructure for the collection of the huge amount of available shop floor data, which can be analyzed, considering data analytics algorithms, predictive maintenance models and forecasting techniques, to perform the machine/system health assessment and prediction of maintenance needs, e.g. by detecting earlier the occurrence of possible failures and consequently the need to implement maintenance interventions. The scheduling of predictive maintenance needs will be integrated with the existing maintenance planning tools, and especially synchronized with the production planning tools to achieve a nondisruptive maintenance impact in the production system. A cloud-based collaborative maintenance services platform allows the secure collection, aggregation and analysis of a large amount of shared data from numerous manufacturers that use the same or similar machinery, and acts as an open market where companies can contract specialized maintenance services. This reference architecture aims to provide replicable architecture to be broadly applicable in a variety of industries, capable to improve the production efficiency through a real-time health monitoring and early detection of failures and outages, to speed up the maintenance delivery, and consequently mitigate their impact.

关键词： Predictive maintenance Manufacturing Collaboration Production facilities Sensors

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Integrating AI-Driven IoT Solutions for Enhanced Predictive analytics in Healthcare a Comprehensive Study on Chronic Disease Management

Integrating AI-Driven IoT Solutions for Enhanced Predictive ...

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intelligent computing and Emerging Communication Technologies (ICEC), international conference on

作者： S. V. N. Sreenivasu Siva Koteswararao Katta Jerlin Priya Lovelin Auguskani Dumpa Vamsi Priya V Jagadish Vedaprada Raghunath Dept of Computer Science and Engineering Narasaraopeta Engineering College Narasaraopet India Department of Mechanical KITEW Kakinada Department of Nursing Jazan University Kingdom of Saudi Arabia Basic Sciences & Humanities (Statistics)Vignan Institute of Information and Technology Visakhapatnam Department of CSE Malla Reddy Engineering College (A) Hyderabad India Visveswaraya Technological University India

ISBN: (数字)9798331508432

ISBN: (纸本)9798331508449

The high incidence of chronic non-communicable diseases (NCDs) places a significant financial strain on public health systems. Brazil is projected to see a rise in mortality rates caused by non-communicable diseases (NCDs) by 2030. These include cancer, cardiovascular disease, respiratory illness, and diabetes. The unique challenge of managing chronic and integrated care for NCDs is well-documented. This study presents an AI-based framework for managing chronic diseases and providing digital health services globally. The suggested platform is constructed and supported by healthcare 4.0 technologies, which enable the implementation of a smart healthcare system. Among these innovations are AI-enabled cloud solutions, the internet of medical things, and wearable technology. Also included in the publication is a case study of diabetes prediction that demonstrates the platform's viability. An initial dataset was created for the research case with many attributes, including bio-impedance, skin impedance, skin temperature, pulse rate, and oxygen concentration. In this study, we investigate how the IoT and Artificial Intelligence (AI) are changing the face of illness detection in connected healthcare systems. AI has quickly become an indispensable tool in the healthcare industry, providing advanced algorithms for evaluating medical data and facilitating forecasting and decision-making. The internet of things (IoT) improves upon this by allowing web-enabled devices, such as implanted sensors and wearables, to continuously gather data. By integrating AI and IoT, smart healthcare systems improve medical procedures, patient experiences, and operational operations. Rapid and reliable disease diagnosis is made possible by combining AI-driven procedures with IoT data streams. This paper aims to overcome the limitations of traditional methods, which are typically influenced by human biases.

关键词： Medical services Skin Diabetes Reliability Medical diagnosis Artificial intelligence Medical diagnostic imaging Monitoring Wearable sensors Diseases

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Mobile-based smart District Holistic Values And Social Dimensions: a Citizen-centric Perspective

Mobile-based Smart District Holistic Values And Social Dimen...

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international conference on Informatics and computing (ICIC)

作者： Aang Kisnu Darmawan Daniel Oranova Siahaan Tony Dwi Susanto Hoiriyah Busro Akramul Umam Miftahul Walid Betty Dewi Puspasari A'ang Subiyakto Achmad Nizar Hidayanto Universitas Islam Madura Pamekasan Indonesia Institut Teknologi Sepuluh Nopember Surabaya Indonesia Sekolah Tinggi Teknik Atlas Nusantara Malang Indonesia UIN Syarif Hidayatullah Jakarta Jakarta Indonesia Faculty of Computer Science Universitas Indonesia Depok Indonesia

ISBN: (数字)9781728180472

ISBN: (纸本)9781728180489

At present, almost every country struggles to implement city management with the concept of smart cities. Previous studies have produced several models by exploring social values on the adoption and acceptance of technology in the application of the idea of a smart city. However, there is still little research that explores social values in the form of a relational relationship between the dimensions of builders in the smart District, which is very different from the concept of smart cities that are common and popular so far. This study aims to explore and evaluate the relationship of social dimensions of the application of smart mobile-based districts or districts. The model and approach used is an exploration of the building dimensions in the theory of Expectation Confirmation Model, Quality of Experience (QoE), Quality of Service (QoS), Trust, Commitment, Use Intention, Satisfaction, and Recommendation Intention. data collection was carried out from two hundred seventeen respondents who were successfully collected using online survey methods and offline data processing using smartPLS software v.3.2.8. The research findings indicate that there is a positive and significant relationship for the relational pattern of the proposed dimensions of intelligent district service builders. This research contributes to the modeling of the relational relationships of the aspects of the building of smart districts, which is still rarely done. This study confirms that local governments and policymakers should pay more attention to the relationship of critical social dimensions in technology adoption that affects the quality of service performance of smart-based mobile districts.

关键词： smart cities Local government Buildings Quality of service Software Quality of experience Informatics

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The Research of Ontology-based Digital Twin Machine Tool Modeling

The Research of Ontology-based Digital Twin Machine Tool Mod...

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international conference on Computer and Communications (ICCC)

作者： Jinsong Liu Dong Yu Xiaoxue Bi Yi Hu Haoyu Yu Beibei Li Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Shenyang P.R. China Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang P.R. China Shenyang CASNC Technology Co. Ltd. Shenyang P.R. China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

As a core manufacturing resource, CNC machine tool acts a pivotal part in the new trend of smart manufacturing. Aiming at the intelligent demands of CNC machine tool, this paper proposes a digital twin modeling framework for CNC machine tool. Furthermore, a semantic model of CNC machine tool based on ontology is established to solve the issues of multi-source heterogeneous data fusion and insufficient semantic information, which contributes to condition monitoring service to fully perceive the running status of machine tool.

关键词： Manufacturing industries Digital twin Semantics Ontologies Market research data models Machine tools

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Cloud-based smart Sewage Management System for Efficient Wastewater Treatment

Cloud-based Smart Sewage Management System for Efficient Was...

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Innovative Practices in Technology and Management (ICIPTM), international conference on

作者： V. Dhayalan Ramakrishnan Raman N. Kalaivani Ankit Shrirvastava G. Rajasekar Thamizhamuthu R Sri Sairam Engineering College Chennai Tamil Nadu India Symbiosis Institute of Business Management Pune & Symbiosis International (Deemed University) Pune Maharashtra India Saveetha College of Liberal Arts & Sciences Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai Tamil Nadu India Symbiosis International (Deemed University) Pune Maharashtra India Vinayaka Mission’s Kirupananda Variyar Engineering College Vinayaka Mission’s Research Foundation(DU) Salem Tamil Nadu India SRM Institute of Science and Technology Kattankulathur Campus-Chengalpattu Chennai Tamil Nadu India

ISBN: (数字)9798350307757

ISBN: (纸本)9798350307764

Maintaining public health and environmental sustainability depend on effective wastewater treatment. Monitoring, controlling, and optimizing the treatment process are often difficult for traditional sewage management systems. An innovative sewage management system that is cloud-based seems to be a feasible option in this situation. This system uses cloud computing and Internet of Things (IoT) technology to build an intelligent, connected network for monitoring and managing wastewater treatment operations. Sensors are installed throughout the sewage system to collect real-time data on numerous factors, including flow rate, pollutant levels, and water quality. It is sent to a central cloud platform to store and analyze this data. The cloud platform processes the collected data and produces valuable insights using innovative data analytics methods. It provides remote control and real-time monitoring, allowing for proactive reactions to abnormalities or emergencies. It increases the overall efficiency of wastewater treatment, resulting in better water quality and less adverse environmental effects. This method may significantly improve wastewater management, creating a cleaner and healthier environment.

关键词： Cloud computing data analysis Real-time systems Sensor systems Servers Internet of Things Wastewater

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smart Tele-Healthcare using Blockchain and IPFS

Smart Tele-Healthcare using Blockchain and IPFS

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international conference on ent computing and Control Systems (ICICCS)

作者： Sharmili Nukapeyi Pedada Jyothi Sri Rebaka Mani Neeharika Seera Priyankarao K B Sri Harshini Department of CSE Gayatri Vidya Parishad College of Engineering for women Visakhapatnam India

In day-to-day life, Time and Health are two precious assets to achieve anything by an individual. In sustaining good health, rural communities confront numerous obstacles in receiving healthcare services. According to the statistics, 26.5% of uninsured rural residents delayed receiving necessary healthcare in the past year. At the beginning of 2020, the use of telemedicine services was already booming, but responses to the COVID-19 pandemic sped up this expansion. In rural areas, one must make sure that telehealth services continue to be compensated at the existing pandemic rates in order to provide proper treatment at right moment with patient’s medical history. To solve this issue, the “smart TeleHealthcare using Blockchain and IPFS ”(STBI) system proposes a secure healthcare solution that merges IoT and Blockchain. The Blockchain network connects the patient and medical team in STBI, and both can communicate with the decentralized storage IPFS. STBI system collects healthcare samples (i.e., which are simulated by sensing temperature using Node MCU board interfacing with LM35 sensor) and displays the health reports (i.e., temperature value) on webpage. The lengthy health reports are kept in IPFS, and the resulting hash value is stored in Blockchain for further reference by doctors. In STBI, the electronic medical data is shared between authorized stakeholders such as patients, doctors and medical team which enhances effective medical treatment collaboratively. The experimental system was incorporated with blockchain and IoT technologies to provide an enhanced secure and transparent healthcare facilities in rural areas.

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A Hierarchical Hidden Variable Model of Effective Housing Finance in Nigeria Through SEM smart-PLS 20th

A Hierarchical Hidden Variable Model of Effective Housing Fi...

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20th international conference on Hybrid intelligent Systems, HIS 2020 and 12th World Congress on Nature and Biologically Inspired computing, NaBIC 2020

作者： Adediran, Anthonia O. Ali, Hishamuddin Mohd Department of Real Estate Faculty of Built Environment Universiti Teknologi Malaysia SkudaiJohor Malaysia

ISBN: (纸本)9783030730499

The aim of this article is to outline the important factor required towards effective Housing finance in Nigeria subject to the operations of the National Housing Fund Scheme. This is presented in a model in their hierarchical order of importance (Credit Policy, Banks’ Financial Structure and Land Accessibility). data was obtained through questionnaire administration while a two-stage approach in partial least square-structural equation modelling (PLS-SEM) was adopted to examine the appropriateness of hierarchical modelling. The findings indicate that the conceptual properties of Credit policy, Financial Structure and Land Accessibility matches with reflective-formative type of second order hierarchical component of the models. The study offers a wholistic understanding of the systematic factors required to aid the Housing finance system in the country. It gives insight to the government on what to consider for proper implementation of Housing finance system in the country, while offering an alternative avenue to researchers intending to introduce hierarchical component in modelling Housing Finance system in other countries. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Housing

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