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A Review on applications of IoT in Healthcare 3

A Review on Applications of IoT in Healthcare

引用

3rd international conference on Electronics and Renewable Systems, ICEARS 2025

作者： Thakare, Vedant Verma, Prateek Datta Meghe Institute of Higher Education and Research Faculty of Engineering and Technology Department of Computer Science and Engineering Maharashtra Wardha442001 India Datta Meghe Institute of Higher Education and Research Faculty of Engineering and Technology Department of Artificial Intelligence and Machine Learning Maharashtra Wardha442001 India

ISBN: (纸本)9798331509675

This article examines how the Internet of Things (IoT) is rapidly transforming the medical field. IoT technologies are revolutionizing patient care, increasing productivity, and boosting results in a variety of ways, from wearable technology and telemedicine to smart hospitals and personalized medicine. Predictive analytics, remote patient monitoring, and the use of AI and machine learning for more precise diagnosis and treatment regimens are important applications. The future of IoT in healthcare is extremely bright, with developments in 5G, AI, and other cutting-edge technologies set to further transform the sector and enhance human health, even while issues like data security and privacy still need to be resolved. © 2025 IEEE.

关键词： Electronic health record

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Hotel Energy Management Optimization System Based on Artificial intelligence 3

Hotel Energy Management Optimization System Based on Artific...

引用

3rd international conference on Artificial intelligence and Autonomous robot Systems, AIARS 2024

作者： Wang, Yong Chen, Jia Wuhan Vocational College of Software and Engineering Wuhan Open University Hubei Wuhan430205 China

ISBN: (纸本)9798350376173

This study is devoted to the design, implementation and evaluation of an Artificial intelligence (AI)-based hotel energy management optimization system (EMOS), aiming at improving energy efficiency, reducing operating costs and providing scientific and intelligent solutions for the sustainable development of the hotel industry. The system integrates machine learning, data analysis and intelligent control technology. Through real-time monitoring, forecasting and adjustment, energy consumption can be more intelligent and flexible to adapt to different operating conditions. In the aspect of experimental deployment, this study selected an actual hotel as a pilot, deployed the hotel EMOS based on AI, and conducted comparative experiments in different time periods. The results show that the system significantly improves the energy efficiency of the hotel. Through the machine learning algorithm, the system established an accurate energy forecasting model, and realized the accurate prediction of future energy demand. Compared with the traditional baseline system, the intelligent system shows higher energy efficiency in each time period, which provides substantial economic benefits for the hotel. EMOS, an AI-based hotel, shows excellent performance in improving energy efficiency and reducing operating costs. © 2024 IEEE.

关键词： Artificial intelligence Energy Management Optimization System Hotel

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Development and Implementation of An Autonomous Smart Seed Sowing robot With A Precise Closed-Loop Control System 3

Development and Implementation of An Autonomous Smart Seed S...

引用

3rd IEEE international conference on robotics, Automation, Artificial-intelligence and Internet-of-Things, RAAICON 2024

作者： Mohshin, Ammar Bin Rufsun, Shoaib Oyshi, Jannatul Mubasshara Liza, Fatema Bintay Noor Promi, Mithila Sunjana Tanisha, Shaira Tahsin Haque National Institute of Textile Engineering and Research Department of EEE Dhaka Bangladesh Military Institute of Science and Technology Department of EECE Dhaka Bangladesh

ISBN: (纸本)9798331534400

This paper investigates the development of a modern seed sowing robot whose main aim is to introduce efficiency in the practice of agriculture to improve accuracy with low cost. This automated seed sowing robot tackles some key problems of existing methods such as labor intensity, environmental impacts, and inefficiency. It's an autonomous movement machine which works automatically by calculating spacing of seeds with proper depth of planting through a micro-controller. The robot can plant a variety of seed types, both with one and multiple seeds per hole while executing provisions to create optimal directions row-wise as well as column depending on pre-programmed instructions. GPS navigation is fitted to the robot to ensure seeds are placed correctly each time, thereby improving uniformity and decreasing overlap. The achieved accuracy rate is 94.75% and the coverage efficiency is improved by comparison to conventional methods. Additionally, consistent performance results were confirmed in different soil types (sandy, loamy, clay) to show that the system can be used more widely. The key to this study is that robotic technology can be used as a basis for expanding and modifying the way agriculture is done in this industry, providing an inexpensive and accurate method for small farms. © 2024 IEEE.

关键词： Closed loop control systems

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Neural Network Algorithm in Automatic Allocation System of Water Resources 3

Neural Network Algorithm in Automatic Allocation System of W...

引用

3rd international conference on Artificial intelligence and Autonomous robot Systems, AIARS 2024

作者： Du, Lan Chen, Yao Wang, Jian Wanjiang University of Technology Office of Evaluation and Construction Ma'anshan China China Machinery International Engineering Design and Research Institute Co. Ltd Branch of East China Nanjing China

ISBN: (纸本)9798350376173

Since the beginning of the new century, the rational and efficient utilization of water resources has been one of the hot issues in the development of society. The emergence of the automatic allocation system for water resources makes the allocation of water resources more intelligent and scientific, and the neural network algorithm is one of the core technologies of the automatic allocation system of water resources. It uses big data and powerful computing power to provide intelligent, efficient and relatively safe solutions for the automatic allocation system of water resources. Fault detection and recovery, prediction and optimization, decision and scheduling, and security and risk management are the main application scenarios of the neural network algorithm. This paper will deeply study the automatic allocation system of water resources implemented by the neural network algorithm and the corresponding improvement measures. With the development of technology and the combination of other fields, the neural network algorithm applied to the automatic allocation of water resources system will be more perfect and provide a more intelligent, efficient and safe water resources management plan for the development of the industry. © 2024 IEEE.

关键词： neural network algorithm water resources allocation water resources automatic configuration system

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Voice AI-intelligence Based Voice Assistant 3

Voice AI-Intelligence Based Voice Assistant

引用

3rd international conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Garai, Pooja Nikam, Aditya Kerkar, Suyash Deshmukh, Samruddhi Mane, Atharva Bhise, Suvarna Vasantdada Patil College Of Engineering & Visual Arts Dept. of Artificial Intelligence & Data Science Mumbai India

ISBN: (纸本)9798331515911

Voice assistant applications have become integral parts of modern technology ecosystems, offering users convenient and efficient ways to interact with their devices. This paper introduces Voice Ai, a versatile voice assistant application developed using Android Studio and Google's Machine Learning Kit Machine learning(MLKit) for Optical Character Recognition (OCR) functionalities. The app includes features like setting alarms, making calls, opening applications, and conducting question-answer sessions powered by G4F. A comparative analysis between G4F and Google's backend is performed, assessing their performance and user satisfaction during question-answer interactions. Voice Ai simplifies daily tasks and boosts productivity, providing insights for developers, researchers, and end-users interested in AI-based voice assistant applications. © 2025 IEEE.

关键词： Adversarial machine learning

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3rd international conference on Electronics and Renewable Systems, ICEARS 2025 - Proceedings

3rd International Conference on Electronics and Renewable Sy...

引用

3rd international conference on Electronics and Renewable Systems, ICEARS 2025

ISBN: (纸本)9798331509675

The proceedings contain 328 papers. The topics discussed include: investigation and performance analysis of thermo electric cooling system for electric vehicle;design of neural network-based self-tuning control for high step-forward converters in renewable energy-powered hybrid electric vehicles;applications of artificial intelligence and machine learning for accurate forecasting and optimization of renewable energy generation;enhanced thermo-physical properties of titanium dioxide nanofluids: applications in renewable energy systems and smart grid cooling technologies;viscosity behavior of multi-walled carbon nanotube nanofluids for advanced renewable energy cooling and storage systems;electric vehicle with enhanced power reliability and integrated charging technology;and adaptive rooftop solar system with optical wireless charging for electric vehicle batteries.

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Sentiment Analysis for Depression Detection Using Artificial intelligence 3

Sentiment Analysis for Depression Detection Using Artificial...

引用

3rd international conference on Artificial intelligence For Internet of Things, AIIoT 2024

作者： Choudhary, Dilip Kumar Gupta, Anisha Singh, Sriaum Abhinav, Tejashvi Agrawal, Tanvi Vellore Institute of Technology School of Electronics Engineering Vellore632014 India Vellore Institute of Technology School of Computer Science and Engineering Vellore632014 India

ISBN: (纸本)9798350372120

Depression, a leading mental health concern, affects millions globally. Early detection remains crucial for effective intervention. This study explores the potential of sentiment analysis, powered by Artificial intelligence (AI), for depression detection. We analyse existing research, examining data sources, feature extraction techniques, and AI-based methodologies. We then conduct a preliminary review of existing AI-based depression detection systems, highlighting their strengths and limitations. Our findings indicate promising applications of sentiment analysis in identifying individuals at risk of depression. However, further research is necessary to address challenges related to data privacy and the need for robust and standardized methodologies. © 2024 IEEE.

关键词： Sentiment analysis

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Intelligent English Automatic Translation System Based on TTS technology 3

Intelligent English Automatic Translation System Based on TT...

引用

3rd international conference on Artificial intelligence and Autonomous robot Systems, AIARS 2024

作者： Sun, Xiyang Wang, Zhuo School of Foreign Languages Dalian University of Science and Technology Liaoning Dalian China

ISBN: (纸本)9798350376173

The intelligent English automatic translation system was built based on TTS technology. In the development process of the system, careful selection and configuration of text to speech converters and speech processors were carried out, and TTS technology was cleverly integrated, fully covering key aspects such as text analysis, prosody control, and speech synthesis. In order to better meet the specific requirements of English translation, the system has specially designed several key components, including but not limited to automatic segmentation and annotation of continuous speech, pre prosodic control of speech, speech synthesis, and optimization and reduction of speech databases. These carefully designed hardware units and software modules were integrated with each other, enabling the intelligent English automatic translation system to operate efficiently and smoothly. Through experiments, it can be seen that the intelligent English automatic translation system based on TTS technology performed well in terms of accuracy, ranging from 86.11% to 95.27%, which was significantly better than ordinary intelligent translation systems and traditional translation systems. This result fully proved that this system had a relatively high level of accuracy in processing English speech translation. The comprehensive design of the system has not only improved translation quality, but also laid the foundation for the development of future intelligent translation technology. © 2024 IEEE.

关键词： Computer aided language translation

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Visual Servo Control Algorithm and Path Planning Optimization of Pear Picking robot 3

Visual Servo Control Algorithm and Path Planning Optimizatio...

引用

3rd international conference on Artificial intelligence and Autonomous robot Systems, AIARS 2024

作者： Zhou, Peng Cao, Bingyu Chen, Wei Wang, Huan School of Information Science and Technology Xinjiang University of Science & Technology Korla Xinjiang841000 China

ISBN: (纸本)9798350376173

With the improvement of agricultural production automation, agricultural robots play an increasingly important role in agricultural production. In this study, a solution based on visual servo control algorithm and path planning optimization is proposed to meet the automation requirements in the process of picking fragrant pears. This scheme aims to improve the picking efficiency and accuracy of the robot, so as to improve the efficiency of agricultural production. In the aspect of visual servo control, a servo control algorithm based on visual sensor is designed in this study, which realizes the accurate identification and positioning of fragrant pear. The algorithm has fast system response speed and good control performance stability, which enables the robot to perform the picking action quickly and accurately. In the aspect of path planning optimization, the simulated annealing algorithm (SAA) is used to optimize the path planning of the robot. The optimization algorithm can effectively avoid obstacles in complex environment and choose the optimal picking route. The optimized path planning significantly improves the picking efficiency of the robot and significantly reduces the path length, which provides an important reference for the practical application of the robot. Combining the effects of visual servo control algorithm and path planning optimization, the pear picking robot shows high picking efficiency and accuracy in the experiment. The optimized path planning can make the robot finish the picking task quickly and stably in complex environment, which provides an efficient and intelligent solution for agricultural production. Based on the above research results, we believe that the visual servo control algorithm and path planning optimization of pear picking robot have important application prospects and can bring greater benefits and convenience to agricultural production. © 2024 IEEE.

关键词： Fruits

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Artificial intelligence-Based Research in Investment and Financing Decision Making 3

Artificial Intelligence-Based Research in Investment and Fin...

引用

3rd IEEE international conference on Social Sciences and intelligence Management, SSIM 2023

作者： Mei, Bingying Jiangsu College of Engineering and Technology Nantong China

ISBN: (纸本)9798350327786

With the rapid development of Artificial intelligence (AI) technology, it is applied in more industries. In this study, AI was applied to investment and financing decision-making to explore the key applications and impacts of AI in this field. Through a literature review and empirical research, the advantages of AI in investment and financing decision-making were analyzed using the decision tree algorithm. Combined with the principle of information entropy gain, a model was constructed. The model helped investment and financing decision-makers understand and use AI technology more effectively for decision quality and efficiency. © 2023 IEEE.

关键词： Artificial intelligence

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