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检索条件"任意字段=2023 International Research Conference on Smart Computing and Systems Engineering, SCSE 2023"

共 8064 条记录，以下是111-120 订阅

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Development status of a smart lighting system in urban streets

Development status of a smart lighting system in urban stree...

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2023 international conference on smart Transportation and City engineering, STCE 2023

作者： Wang, Shibo Ma, He Guan, Xiaorong School of Mechanical Engineering Nanjing University of Science and Technology Nanjing210094 China

ISBN: (纸本)9781510673540

With the ongoing evolution of wired/wireless communication technologies and the steady improvement of living standards, the concept of the smart lighting system has transitioned continuously from a mere ideal to a tangible reality. This paper introduces the current development status of urban smart lighting systems around the world. Furthermore, it explores the popular detection technology of movement and light, as well as the progression of wired/wireless communication technologies, comparing their merits and drawbacks and imagining the development of urban smart street *** light of the evidence presented and the potential benefits of the technology, this paper suggests that urban planners and relevant authorities consider the adoption of urban smart street lamps as a viable solution to enhance energy efficiency, safety, and technological advancement in city infrastructure. © 2024 SPIE.

关键词： Energy efficiency

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CENTERIS 2023 - international conference on ENTERprise Information systems / ProjMAN 2023 - international conference on Project MANagement / HCist 2023 - international conference on Health and Social Care Information systems and Technologies

CENTERIS 2023 - International Conference on ENTERprise Infor...

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2023 international conference on ENTERprise Information systems, CENTERIS 2023 - international conference on Project MANagement, ProjMAN 2023 - international conference on Health and Social Care Information systems and Technologies, HCist 2023

The proceedings contain 293 papers. The topics discussed include: an organizational modeling for developing smart contracts on blockchain-based supply chain finance systems;improving comprehensibility of IoT-driven business processes through BPMN 2.0 extension: a user study;a comparative study on system modeling notations;organization of territory restoration activities following a natural disaster;comparison of construction companies’ financial management in the Czech Republic before and after the COVID-19 pandemic crisis;systems engineering in the building construction industry: comparison with the telecom industry;guidelines for developing and managing digital business incubators: a stakeholders’ perspective;older consumers’ views on online grocery shopping;and understanding the experience of computing students in remote internships.

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Internet of Things in smart Heating systems: Critical Technologies Progress and Prospect 26

Internet of Things in Smart Heating Systems: Critical Techno...

引用

26th international conference on Computer Supported Cooperative Work in Design, CSCWD 2023

作者： Chen, Jiaying Lin, Xiaojie Zhong, Wei Mao, Yihui Ding, Liwei State Grid Zhejiang Electric Power Research Institute Hangzhou310014 China Zhejiang University College of Energy Engineering Hangzhou310027 China

ISBN: (纸本)9798350331684

The Internet of Things contributes to energy systems by expanding manufacturing processes with modern devices and intelligent systems. Nowadays, the heating sector is in a race to increase the insertion of technologies in supply chain and production activities. For this, a modeling method is proposed based on the Internet of Things of smart systems. Compared with the conventional roadmap, the smart heating system's center is a framework comprising a physical equipment layer, sensing and dispatch layer, data transmission layer, and decision-making layer. This method can improve the accuracy of modeling and contribute to in-depth optimization. This study intends to explore and discuss the critical technologies of smart heating systems and their applications. © 2023 IEEE.

关键词： Internet of things

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A Digital Twin Platform Based on 3D Building Models and smart IoT for a Climate-Resilient Campus: A Case Study of National Taiwan University

A Digital Twin Platform Based on 3D Building Models and Smar...

引用

ASCE international conference on computing in Civil engineering 2023: Visualization, Information Modeling, and Simulation, i3CE 2023

作者： Chen, Kuan-Chun Chang, Yun-Tsui Hsieh, Shang-Hsien Dept. of Civil Engineering National Taiwan Univ. Taipei Taiwan

ISBN: (数字)9780784485231

ISBN: (纸本)9780784485231

This research focuses on "3D building modeling" and "static and dynamic information integration environment" from the perspective of the digital twin. It demonstrates the effective use of the digital twin for visualizing information associated with a 3D environment, such as sunlight exposure and temperature, which are used as comfort indexes. Furthermore, the developed platform provides real-time display and analysis of the campus environment through the intuitive dashboard. Compared with the previous 3D information platforms, which are mainly based on static information display and pre-simulation, this research proposes a real-time information management environment through the combination of virtual 3D objects within the 3D WebGIS interface, the customized server, and the database, which can dynamically update the information of objects when events occur in reality. National Taiwan University is used as a study case to show how the digital twin helps make decisions from multiple scenarios and provides real-time suggestions. © 2024 computing in Civil engineering 2023: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE international conference on computing in Civil engineering 2023. All rights reserved.

关键词： Internet of things

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An Ecosystem Map to Communicate Digital Solutions Supporting a Climate-Friendly smart City District 18

An Ecosystem Map to Communicate Digital Solutions Supporting...

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18th international conference on Future Networks and Communications (FNC) / 20th international conference on Mobile systems and Pervasive computing (MobiSPC) / 13th international conference on Sustainable Energy Information Technology (SEIT)

作者： Elberzhager, Frank Schmitt, Anna Schweitzer, Stefan Storck, Sven Fraunhofer IESE Fraunhofer Pl 1 D-67663 Kaiserslautern Germany

Climate change and its consequences are currently a very pressing topic for cities. Digital solutions can help in this regard, for example, to inform citizens and provide digital services aimed at fostering climate-friendly behavior. In the EnStadt:Pfaff research project, we are developing a climate-friendly smart city district. Part of this is digitalization, with the main goal being the implementation of a smart city district digital ecosystem providing digital solutions to the people of the district, which is currently still under construction. So far, we have already developed some digital solutions with different technology readiness levels. One major question we have faced, however, was how to inform the public about these solutions. We decided to do this in various ways, such as a classical project webpage, events, and videos. In order to have one main entry point for the public to explore our solutions, we have developed a so-called ecosystem map. Four of the digital solutions are presented there to show what kind of digital solutions might be part of the future smart city district digital ecosystem. In this paper, we report on how we created the map, provide the four digital solution examples shown on the map, and present initial feedback we received regarding our solutions. (c) 2023 The Authors. Published by Elsevier B.V.

关键词： smart City Climate Change Digitalization Communication Digital Ecosystem Map

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Examining the smart Tourism Landscape: A Bibliometric Study and Analytical Synopsis of IoT research

Examining the Smart Tourism Landscape: A Bibliometric Study ...

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2024 international conference on Intelligent and Innovative Practices in engineering and Management, IIPEM 2024

作者： Garg, Ankit Saxena, Nitin Verma, Neha Kumar Singhal, Ritesh Singhal, Rahul Kaggallu, Nagavani Ajay Kumar Garg Institute of Management Ghaziabad India Integrated Academy of Management & Technology Ghaziabad India ABES Business School Ghaziabad India Banglore City University Seshadripuram College Bengaluru India

ISBN: (纸本)9798350390049

This paper explores how IoT technologies are revolutionizing smart tourism with the goal of improving passenger experiences and operational efficiency. Key research trends in the field are identified by utilizing a bibliometric analysis and systematic literature assessment of 83 papers from SCOPUS till December 2023. The combination of technologies like Big data, wearables, AR, VR, cloud computing, ML, AI, and smart sensors is what makes IoT-driven smart tourism so unique. These developments provide unique features including cloud computing for data processing and storage, as well as improved data collection via integrated sensors. Examining several Internet of Things (IoT) applications related to smart tourism, like smart cities, recommender systems, electronic ticketing, and payment methods, highlights how important these applications are to improving security, and customized services. However, other problems - like security, privacy, complicated software, scalability, and compatibility - need strong answers. This study suggests future research directions spanning blockchain integration, edge computing, and improvement of visitor-smart tourism system interactions in addition to strengthening security and privacy protections. These programs seek to solve issues and seize possibilities in the face of an environment that is becoming more and more reliant on technology, all the while encouraging creative responses to the changing needs of the travel and tourist industry. © 2024 IEEE.

关键词： Data handling

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Use of artificial intelligence and big data for drug discovery model

Use of artificial intelligence and big data for drug discove...

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2023 international conference on Innovative computing, Intelligent Communication and smart Electrical systems, ICSES 2023

作者： Parashar, Komal Chitkara University Institute of Engineering and Technology Centre for Interdisciplinary Research in Business and Technology Chitkara University Punjab India

ISBN: (纸本)9798350319200

For the discovery of new drugs, chemists strictly adhere to a set of rules. Artificial intelligence (AI) and big data are currently being used for drug discovery in development and practise in order to increase productivity or develop novel medications for diseases that were initially untreatable. Furthermore, drugs were not anticipated or created with the same efficiency as they are now owing to AI and big data. The incorporation of AI and ML into the drug research and development procedure has enabled greater precision, fewer toxic side effects, and enhanced dosage formulations. AI has been expanded to include the modelling of novel compounds that resemble pharmaceuticals in order to predict their ADMET properties in the drug discovery procedure. This study will discuss how the use of AI and big data modeling has changed the process of conventional drug development at various phases of drug development and advancement. © 2023 IEEE.

关键词： Artificial intelligence Big data drug development

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DIY Wind Turbines: A Low-Cost smart ICPS for Educational research

DIY Wind Turbines: A Low-Cost Smart ICPS for Educational Res...

引用

IEEE international conference on Teaching, Assessment and Learning for engineering (IEEE TALE)

作者： Kuo, Matthew M. Y. Sinha, Roopak Lewis, Ramon Cumming, Charlie Alarcon, Robin Sharma, Chandan Auckland Univ Technol Auckland New Zealand IRT Antoine St Exupery Toulouse France INRIA Grenoble France

ISBN: (纸本)9781665453318

Industrial cyber-physical systems (ICPS) research combines many fields, including mechatronics, electrical, electronic, network, systems and software engineering. ICPS testbeds are often prohibitively expensive to purchase, store and maintain, and tied to vendor-specific tool chains, making them infeasible for small-scale experimental and student-led research. With the rising popularity of 3D printing and ubiquitous computing, it is now possible to rapidly and inexpensively build model ICPS for lab research. This paper presents the "from-scratch" construction of an open-source 3D-printed smart wind turbine as a case study. We cover 3D modelling and printing of the wind turbine parts, the hardware-software interfacing and controller design using Arduino and the ESP8266 embeddedWiFi controller. Interested readers can build a similar smart wind turbine by downloading the guidance and resource files linked to this document within days. The smart wind turbine also serves as a rich ICPS research and education testbed to enable next-generation learning. In addition to discipline-specific tasks like incrementally optimising the 3D model, the interfacing and/or controller design, students and researchers can also use it for interdisciplinary research exploration. As an example, we show how the design and development of the smart wind turbine can be used to study, learn, and research requirements traceability. We employ graph databases to effectively model, represent, manage and trace requirements throughout the development of the smart wind turbine. The key outcome is a light-weight and efficient method for managing requirements using the Neo4j graph database implementation.

关键词： ICPS CPS IoT control software machines 3D printing requirements traceability wind turbine

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Electric Vehicles Charging System for Fast and Safe Charging using LSTM based Gradient Boosted Regression Tree

Electric Vehicles Charging System for Fast and Safe Charging...

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2023 international conference on Sustainable computing and smart systems, ICSCSS 2023

作者： Moorthi, K. Chougale, Rajkumar Kundlik Patel, Praveenkumar Arjun Sharma, Parul Raj, Akshay Gangat, Mohsin Salim Srm Institute of Science and Technology Department of Computational Intelligence Tamilnadu Kattankulathur Campus Chengalpattu India Electrical Engineering Bharati Vidyapeeth College of Engineering Maharashtra Kolhapur India Bharati Vidyapeeth College of Engineering Maharashtra Kolhapur India Ggits Eee Department Madhya Pradesh Jabalpur India Iimt University Research and Development Department Uttar Pradesh Meerut India A.Y.Dadabhai Technical Institute Kosamba Ec Engineering Gujarat Surat India

ISBN: (纸本)9798350333602

In this study, a process-based system for designing and managing charging procedures for electric vehicles (EVs) is proposed. Electric Vehicles charging should be done in a balanced manner, considering prior experience, meteorological information based on data mining, and modeling methodologies, due to the limitations of the electrical power distribution network and the lack of smart meter devices. It was also decided to develop a mobile app to aid the EV driver in information exchange and user mobility. Methods for predicting battery charge patterns through data preprocessing and regression model training. Finally, the model is trained using LSTM-GBRT, then the cuckoo search feature selection approach is applied to improve accuracy. The proposed method achieves better results than the LSTM and GRU models. © 2023 IEEE.

关键词： Long short-term memory

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Artificial Intelligence, smart Contracts, and the Groundbreaking Potential of Blockchain technology: Unlock the Next Generation of Innovation 10

Artificial Intelligence, Smart Contracts, and the Groundbrea...

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10th IEEE Uttar Pradesh Section international conference on Electrical, Electronics and Computer engineering, UPCON 2023

作者： Upreti, Kamal Haque, Mustafizul Vats, Prashant Kumar, V Vijaya Divakaran, Prakash Tiwari, Akhilesh Dept. of Computer Science Ghaziabad India Dr. D. y Patil Vidyapeeth's Centre for Online Learning India Scse Manipal University Jaipur Dept. of Cse Rajasthan Jaipur India Malla Reddy Engineering College for Women Autonomous Mysammaguda Via Kompally Telangana India Himalayan University Arunachal Pradesh Itanagar India Delhi Ncr Ghaziabad India

ISBN: (纸本)9798350382471

The blockchain technology consists of blocks and is a decentralized network of nodes (miners). Each block is made up of three parts: the data, the hash, and the hash from the previous block. After data has been stored, it is extremely difficult to temper the data. Transactions are verified by miners, who are compensated with a commission for their labor. Readers will gain a comprehensive understanding of blockchain technology from this review article, including how it may be used in a variety of industries including supply chains, healthcare, and banking. Most individuals were already familiar with Bitcoin as one of the well-known blockchain applications. In this section, we'll discuss a few of the countless research publications on the cutting-edge applications of this technology. We'll talk about the challenges that come with actually using these applications as well. Blockchain is an industry that is growing thanks to its more recent applications in a number of fields, such as hospital administration, cryptocurrency use, and other places. Only the manner that blockchain works and runs makes it possible for these applications. © 2023 IEEE.

关键词： Blockchain Cloud computing authentication P2P networks Security smart Contracts

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