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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 8093 条记录，以下是181-190 订阅

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Internet of Everything: A Review on smart Healthcare Taxonomy, research Challenges and Methodologies 14

Internet of Everything: A Review on Smart Healthcare Taxonom...

引用

14th international conference on computing Communication and Networking Technologies, ICCCNT 2023

作者： Raj, Anu Prakash, Shiva Srivastava, Jyoti Madan Mohan Malaviya University of Technolgy Information Technology & Computer Application Department Gorakhpur India

ISBN: (纸本)9798350335095

The Internet of Everything (IoE) has the potential to revolutionize many aspects of our daily lives, including healthcare, business and industrial world etc. smart healthcare systems that utilize IoE technologies could greatly improve patient outcomes, increase efficiency, and reduce costs. However, there are several challenges that must be overcome in order to develop effective and reliable power supply systems for IoE-enabled healthcare devices. IoE healthcare devices may be deployed in a variety of settings, and the power supply system must be able to monitor and manage these devices remotely. The development of high-performance smart healthcare systems for the IoE requires the development of reliable and scalable power supply systems that can overcome the challenges of distribution, connection, charging technologies, and management. This paper mainly emphasizes on the IoE and their components that are used in the smart healthcare system and rising of the research challenges. In this paper, by addressing the taxonomy of healthcare and research challenges, researchers and businesses can develop innovative solutions that will transform healthcare delivery and improve patient outcomes. © 2023 IEEE.

关键词： Internet of Everything

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Urban Mobility: Leveraging AI, Machine Learning, and Data Analytics for smart Transportation Planning- A case study on New York City 14

Urban Mobility: Leveraging AI, Machine Learning, and Data An...

引用

14th international conference on computing Communication and Networking Technologies, ICCCNT 2023

作者： Makanadar, Ashish Shahane, Samit Jain College of Engineering Department of Civil Engineering Belgaum India University of Mumbai Department of Architecture Mumbai India

ISBN: (纸本)9798350335095

This research paper explores the utilization of AI, machine learning, and data analytics for smart transportation planning to achieve sustainable urban mobility. The study aims to address two key research questions: (1) How can these advanced technologies be leveraged to optimize urban transportation systems? (2) What are the potential benefits associated with their implementation? The research methodology involves collecting relevant transportation data and applying statistical analysis techniques to uncover patterns and correlations. Additionally, a simulation model is developed and calibrated using real-world data to evaluate different transportation scenarios. Performance evaluation metrics, such as travel time, congestion levels, and environmental impact, are employed to assess the effectiveness of the strategies. The findings of this research demonstrate improved transportation efficiency, reduced congestion, and enhanced sustainability in New York City urban areas. However, limitations include data availability, assumptions made during modeling, and the context-specific nature of the results. These findings contribute to evidence-based decision-making in civil engineering, offering valuable insights for stakeholders and urban planners in their efforts toward sustainable urban mobility. © 2023 IEEE.

关键词： Travel time

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research on Optimizing Software Test Data by Applying Adaptive Differential Evolution Algorithm 3

Research on Optimizing Software Test Data by Applying Adapti...

引用

3rd international conference on smart Generation computing, Communication and Networking, smart GENCON 2023

作者： Ying, Li Lan, Xue Jiangxi Vocational & Technical College of Information Application Jiangxi Nanchang330043 China

ISBN: (纸本)9798350319125

With the continuous development of computer technology, the scale and complexity of software systems are increasing, and the importance of software testing has become increasingly prominent. Traditional software testing methods are often unable to meet the needs of modern software systems, so finding a more efficient and reliable testing method has become a hot issue in the industry. Adaptive Differential Evolution (ADE) is an excellent optimization algorithm, and its application in software testing is of great significance. This paper will discuss the function and enlightenment of adaptive differential evolution algorithm in software testing and its influence on the field of software testing. © 2023 IEEE.

关键词： adaptive differential evolution algorithm computer Software testing Test data

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Cryptographic Ledger for Cyber Security in smart Grid 2

Cryptographic Ledger for Cyber Security in Smart Grid

引用

2nd international conference on Edge computing and Applications, ICECAA 2023

作者： Elanchezhiyan, E. Kalaiselvi, K. Banumathy, D. Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Networking and Communications Tamilnadu Kattankulathur603203 India Paavai Engineering College Department of Computer Science and Engineering Tamilnadu Namakkal637018 India

ISBN: (纸本)9798350347579

In addition to the physical security of energy networks, cyber security is essential to protecting these systems as well. Cyber threats can stem from malicious hackers who have infiltrated the networks to gain unauthorized access to sensitive data, or from vulnerabilities within the systems themselves. It is increasingly important that smart grid companies invest in cyber security solutions, such as strong passwords, two-factor authentication, encryption, and regular software updates, to counteract these threats. Additionally, it is beneficial for organizations to create incident response plans that are tailored to their specific needs, and which define the chain of command and actions to take in the case of an incident. To details the usage of smart grids in various domains and places in an effective way and explains the efficient way of consuming power for smart ventilators by monitoring and providing cyber security against cyber-attacks. The distributed power from various regions is collected from the less predominant places and supplied to the smart ventilators through smart inverters. © 2023 IEEE.

关键词： Cybersecurity

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A Secure Decentralized E-Voting with Blockchain & smart Contracts 13

A Secure Decentralized E-Voting with Blockchain & Smart Cont...

引用

13th international conference on Cloud computing, Data Science and engineering, Confluence 2023

作者： Kumar, Rohit Badwal, Lavi Avasthi, Sandhya Prakash, Ayushi Abes Engineering College Cse Department UP Ghaziabad India

ISBN: (纸本)9781665462631

A democratic election is a crucial act in each nation, as it determines the country's future for a specific term. Some of the older voting methods, such as Ballot Paper and EVM (Electronic Voting Machine), have disadvantages such as lack of transparency, poor voter turnout, vote rigging, and many others. Using Blockchain technology and smart Contracts, it is simple to circumvent the flaws of the Ballot system and EVM. Electronic Voting Powered by Blockchain and smart Contracts outperforms these antiquated voting methods by delivering secure results in less time and at a lower cost. With E-Voting utilizing Blockchain, prices can be lowered, the necessity for Polling stations and the consumption of resources such as EVMs and Ballot Papers may be decreased, and security can be improved by offering End-to-End Encryption and authenticity. This blockchain-powered e-voting can readily acquire trust due to the transaction's transparency, immutability, and difficulty of modification once hosted, as a result of smart contracts. Using OTP Verification and face verification, the suggested solution is a MERN-based web application with a multitude of upgraded authentication and permission techniques. To improve security, this voting data is saved as a transaction in a Blockchain-based distributed ledger using smart contracts. © 2023 IEEE.

关键词： smart contract

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smart LPG Level Monitoring and Automatic Booking system Integrated with trolley 2

Smart LPG Level Monitoring and Automatic Booking system Inte...

引用

2nd international conference on smart Technologies and systems for Next Generation computing, ICSTSN 2023

作者： Parjane, Hrushikesh Vijay Andhale, Vaibhav Sanjay Vakte, Rahul Karna Bodakhe, Prasad Mohan Sujith, M. Pardeshi, D.B. Sanjivani College of Engineering Department of Electrical Engineering Maharashtra Kopargaon423 603 India

ISBN: (纸本)9798350348002

Nowadays LPG Gas cylinder has become the most preferred fuel for cooking purposes. With the help of Pradhan Mantri Ujjwala Yojana Government of India has provided 50 million new connections to womens below poverty line since 2016. Replacing the old convenient way of cooking the LPG emits low carbon footprints. LPG is a mixture of propane, butane, propylene, butylene and isobutane. According to the survey of the Ministry of Petroleum and Natural Gas nearly LPG coverage in India is 99.8% in 2021-22. These systems are prepared to reduce the downtime in cooking and to make the LPG Gas cylinder booking free from human interface. It is also used to detect the gas leakage in the environment ***2 sensor. It also increases productivity and helps to reduce the time for cooking. © 2023 IEEE.

关键词： Liquefied petroleum gas

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From Faces to Traffic Lights: A Multi-Scale Approach for Emotional State Representation 25

From Faces to Traffic Lights: A Multi-Scale Approach for Emo...

引用

25th IEEE international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st IEEE international conference on smart City and 9th IEEE international conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC/DSS/smartCity/DependSys 2023

作者： Nguyen, Minh Yan, Wei Qi Auckland University of Technology Department Computer Science and Software Engineering Auckland New Zealand

ISBN: (纸本)9798350330014

This paper presents an innovative smart Traffic Light System designed to assess Emotional Expression in enclosed settings such as corporate offices and educational facilities. The system combines artificial intelligence, super-resolution algorithms, and facial recognition to provide both real-time and longitudinal insights into the collective emotional atmosphere. Utilizing a three-tier light indicator, the system visualizes emotional trends in the short-term (immediate), medium-term (daily or weekly), and long-term (semi-annual or annual) contexts, employing a color-coded scheme to denote positive or negative emotional states. This augments situational awareness and contributes to the emotional well-being of individuals in these settings. The underlying technology leverages closed-circuit television (CCTV) footage and introduces a state-of-the-art temporal expression recognition mechanism to capture a broad spectrum of human emotions. A notable innovation is the incorporation of facial super-resolution techniques to enhance the quality of low-resolution facial data, thereby boosting the system's overall accuracy and robustness. This enhancement is accomplished while maintaining adherence to ethical standards for data collection and usage. This system has implications that reach far beyond simple emotional recognition. It serves as a cornerstone for the development of emotionally intelligent smart cities. Providing both immediate feedback and historical data on community emotional states, it enables more informed decision-making, streamlined resource allocation, and ultimately, an improvement in the overall quality of life. This research contributes to the evolving discussion on how smart cities can foster communities that are not just more efficient, but also more emotionally resilient. © 2023 IEEE.

关键词： smart city

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EchoImage: User Authentication on smart Speakers Using Acoustic Signals 43

EchoImage: User Authentication on Smart Speakers Using Acous...

引用

43rd IEEE international conference on Distributed computing systems (ICDCS)

作者： Ren, Yanzhi Xia, Zhiliang Li, Siyi Liu, Hongbo Chen, Yingying Li, Shuai Li, Hongwei Univ Elect Sci & Technol China Dept CS Chengdu Peoples R China Rutgers State Univ WINLAB New Brunswick NJ USA Univ Oulu Oulu Finland

ISBN: (纸本)9798350339864

The user authentication has drawn increasingly attention as the smart speaker becomes more prevalent. For example, smart speakers that can verify who is sending voice commands can mitigate various types of attacks such as replay attack or impersonation attack. Existing user authentication solutions either cannot be applicable to smart speakers directly or require certain additional user-device interaction or pre-installed infrastructure, which may severely affect the user experience and create extra burdens to users. In this work, we propose a user authentication system EchoImage utilizing acoustic images, which are derived from the smart speaker by emitting beep signals and sensing echoes from the user's body with its microphone array, as the proof for user authentication. Given the acoustic samplings of the reflected beep signal, our system designs a distance estimation component by applying a correlation based technique on the beamformed signal to estimate the distance between the user and microphone array. Our image construction component then constructs a virtual imaging plane using the estimated distance and steers the array towards each grid of the plane to generate an acoustic image of the user. Moreover, we propose a transfer learning-based method to derive efficient features from the constructed images, and employ SVM classifiers for accurate user authentication. Our extensive experiments demonstrate that our system is robust and accurate across various scenarios.

关键词： Microphone array

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Recent Studies on Deep Learning Techniques for Stock Market Forecasting

Recent Studies on Deep Learning Techniques for Stock Market ...

引用

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

作者： Kasture, Pranjali Shirsath, Kamini Pune University K K Wagh Institute of Engineering Education and Research Nashik Savitribai Phule Department of Computer Engineering India Sandeep Institute of Engineering & Management Department of Computer Engineering Nashik India

ISBN: (纸本)9798350333602

Time series analysis and forecasting have many practical applications in different fields. Stock Market is a significant pillar of the economy and plays a dominant role in accelerating the financial growth of the country and its citizens. People do invest in the stock market as Investors (long term) and as Traders (short term), with the objective of earning more returns on their investments. Based on past data on stock market performance, it is evident that stock market investment has given good returns. In order to earn more from the investment in the stock market, what is essential is the future forecasting performance of the stock market. and this is based on various factors which include but are not limited to past data on the market, the company's performance, government policies, global political and financial dynamics, and many more. A lot of extensive & excellent research has been done in this area for predicting the future performance of the market. This paper looked at different methodologies or strategies that have been used to forecast stock market values in recent years. This survey aims to give an overview of recent studies on deep learning models for stock market forecasting. It will assist interested researchers in keeping up with the newest developments as well as reproducing prior studies as baseline. © 2023 IEEE.

关键词： Financial markets

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Securing smart Grid Communication: Exploring the Potential of Blockchain Technology for Confidentiality, Integrity, and Authenticity in the Energy Sector

Securing Smart Grid Communication: Exploring the Potential o...

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2023 international conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

作者： Bhushan, Bharat Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research for Business and Technology Punjab India

ISBN: (纸本)9798350357769

This research paper explores the potential of blockchain technology in enhancing the security of communication in smart grid systems. The smart grid is a crucial aspect of the energy sector and requires secure communication to prevent cyber-attacks and data breaches. The study focuses on the implementation of block chain-based secure communication in smart grid systems to ensure confidentiality, integrity, and authenticity of the data transmitted. In conclusion, this research highlights the benefits of blockchain technology in securing the communication in smart grid systems and provides insights into the potential of block chain technology for other applications in the energy sector. © 2023 IEEE.

关键词： anonymity blockchain cryptography distributed ledger technology privacy scalability secure communication smart grid security trust

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