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2024 international conference on advances in Data engineering and intelligent Computing Systems, ADICS 2024

作者： Solainayagi, P. Department Of Computer Science And Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350364828

Personalized care and continuous patient monitoring are signs of critical care units (ICUs), where the IoT may significantly enhance healthcare delivery. Optimal nutrition plans for ICU patients, taking into account their unique requirements, preferences, and medical issues, is a difficulty in IoT-enabled healthcare. Using Decision Tree (DT) algorithms, it provides a smart method for creating individualized ICU nutrition plans in this research. In the ICU, users take readings of vital signs using internet-connected equipment, including temperature, heart rate, blood oxygen saturation, and body mass index. After that, it sorts the patients into several groups according to their nutritional needs and potential dangers using DT algorithms that are used with the collected data. The system for patients is created using the categorization findings;these plans consider the patient's calorie, protein, fluid, and micronutrient consumption. By comparing the technique to the current ones and utilizing a simulated dataset of ICU patients, it assesses how well it performs. Better health outcomes and lower healthcare costs may be achieved by using the technique to create more precise and efficient diet plans for ICU patients. © 2024 IEEE.

关键词： Nutrition

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A Review of Advanced Technologies for intelligent Sensing, Diagnostics, and Personalized Healthcare Solutions 4

A Review of Advanced Technologies for Intelligent Sensing, D...

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4th international conference on Ubiquitous Computing and intelligent Information Systems, ICUIS 2024

作者： Ghantasala, G. S. Pradeep Rajesh Sharma, R. Sungheetha, Akey Anitha, P. Selvalakshmi, B. Pradeepa, K. Alliance College of Engineering and Design Alliance University Department of Computer Science and Engineering Karnataka Bengaluru India Sri Sai Renganathan Engineering College Department of Ece Tamil Nadu Coimbatore India Tagore Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India St. Michael College of Engineering & Technology Department of Computer Science and Engineering Tamil Nadu Sivaganga India

ISBN: (纸本)9798331529635

intelligent Health is a revolutionary approach to modern healthcare that uses the Internet of Things (IoT), artificial intelligence (AI), and sensor technologies to transform patient-centric solutions. This study examines how these technologies are combining to change patient monitoring, illness management, personalized treatment, and healthcare delivery. Wearable sensors, medical equipment, and IoT-enabled infrastructure allow for real-time, continuous monitoring of patient health data, enabling the early identification of anomalies and the implementation of personalized interventions. IoT platforms enable remote connectivity and data-driven insights by easily integrating sensor data into healthcare systems. AI algorithms analyses large amounts of sensor data to maximize clinical decision-making, forecast health outcomes, and extract insightful information. intelligent health solutions offer many advantages, such as better patient outcomes and a better patient experience. However, to fully utilize these technologies, issues like data privacy, interoperability, and regulatory compliance need to be resolved. Future directions in intelligent health include the establishment of standards and regulatory frameworks, patient-centric design, integration with electronic health records, and advances in AI and machine learning. With individualized, data-driven solutions, intelligent health holds great promise for revolutionizing the delivery of healthcare and enabling people to take charge of their own health and well-being © 2024 IEEE.

关键词： Electronic health record

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Image recognition based on self-distillation and spatial attention mechanism

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international JOURNAL OF MODERN PHYSICS C 2025年第0期

作者： Zhao, Guangxu Sun, Zhongguang Liu, Yahui Chongqing Res Inst China Coal Technol & Engn Grp Chongqing 400039 Peoples R China State Key Lab Coal Mine Disaster Prevent & Control Chongqing 400037 Peoples R China China Univ Min & Technol Sch Mines Xuzhou 221116 Peoples R China

As society advances, computer vision will play an increasingly crucial role in digital and intelligent transformations. Known as deep learning models, Convolutional Neural Networks (CNNs) have emerged as a key component of computer vision due to their superior performance in automatically detecting image features, handling high-dimensional data and performing large-scale classification tasks. This paper examines the development of CNNs, leveraging the strengths of current mainstream image recognition methods, and proposes a Self-Distillation and Attention-based Convolutional Neural Network (SDACNN) model to further enhance CNN accuracy. Experimental results demonstrate that the proposed model effectively accomplishes image recognition tasks.

关键词： SDACNN image recognition Convolutional Neural Networks self-distillation attention mechanism

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Design of an Unmanned Bee breeding Box control System Based on stm32 10

Design of an Unmanned Bee breeding Box control System Based ...

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10th international conference on control, Automation and Robotic (ICCAR)

作者： Chen, Xiaoming Wang, Li Zhong, Junliang Guangzhou Inst Technol Coll Intelligent Mfg & Elect Engn Guangzhou Peoples R China

ISBN: (纸本)9798350373172;9798350373189

With the development of single-chip microcomputer technology, the demand for intelligent equipment is increasing. This paper introduces a digital bee hive monitoring system, which is used to solve the difficult problems in bee farming. The system mainly uses STM32F103C8T6 single chip microcomputer and DHT11 temperature and humidity sensor to achieve data acquisition, processing, display and other functions, can automatically adjust temperature and humidity parameters, easy to operate, can be unattended. This paper introduces the overall design block diagram and working principle of the system, details the hardware circuit design of each functional module, and expounds the application program design and the operation of wireless module to send information. The test results show that all functions can be realized and the power consumption and stability meet the design requirements. The design has feasibility and economic value, and provides a suitable monitoring platform for users.

关键词： STM32F103C8T6 single chip computer intelligent system bee box temperature and humidity monitoring Lora module infrared photoelectric module

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Review and Explore the Transformative Impact of Artificial Intelligence (AI) in Smart Healthcare Systems

Review and Explore the Transformative Impact of Artificial I...

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2024 international conference on advances in Computing Research on Science engineering and Technology, ACROSET 2024

作者： Nagar, Sneha Patidar, Mukesh Sheikh, Rashid Singh, Sudhanshu Kashiv, Ashutosh Jain, Ankit Namdeo, Shravan Kumar Paranjpe, Pranav Mandloi, Devendra Singh Indore Institute of Science and Technology Department of Electronics and Communication Engineering Indore India Parul Institute of Engineering and Technology Parul University Department of Computer Science & Engineering Vadodara India Acropolis Institute of Technology and Research Department of Computer Science & Engineering Indore India Indian Institute of Technology Indore Department of Electronics and Communication Engineering Indore India

ISBN: (纸本)9798350388800

Because of its high level of complexity and data collection capabilities, the healthcare industry employs artificial intelligence (AI) more than other sectors. Artificial intelligence is becoming an increasingly important part of our daily routines. AI's features include extremely low error rates, constant accessibility, quick analysis, and real-time data dissemination. This paper examines the crucial role of artificial intelligence in intelligent healthcare systems, with a particular emphasis on enhancing healthcare delivery. Artificial intelligence in healthcare is rapidly evolving, with the potential to significantly enhance patient care, diagnosis, treatment, and cost distribution. It also presents issues of transparency, honesty, and availability. This study will look into the benefits, drawbacks, and other aspects of artificial intelligence in intelligent healthcare systems. © 2024 IEEE.

关键词： Artificial Intelligence (AI) Ethical Considerations Explainable AI (XAI) Healthcare Resource Allocation Healthcare Systems Smart Treatment Planning

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FinanceQA-Agent: A High-Precision Comprehensive Financial Technology Question-Answering intelligent System Based on Vector Databases 5

FinanceQA-Agent: A High-Precision Comprehensive Financial Te...

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5th international conference on advances in Electrical engineering and computer Applications, AEECA 2024

作者： Liu, Xin Zhu, Jingjing Southeast University School of Instrument Science and Engineering Nanjing China Bank of China Information Technology Operations Center Hefei China

ISBN: (纸本)9798350355253

In response to the escalating complexity of financial operations and the pressing need for intelligent decision support, FinanceQA-Agent emerges as an avant-garde Financial Technology (FinTech) solution. This system integrates state-of-the-art natural language processing with advanced vector encoding to craft a high-precision, robust question-answering platform. Utilizing intranet isolation and load balancing, it ensures unparalleled security and stability, while its meticulously designed knowledge base and prompt engineering elevate the conversational accuracy and naturalness. The research methodology encompasses a multifaceted approach, including the deployment of large language models and semantic vector computations, underpinned by a comprehensive system architecture that facilitates scalability and maintenance. Pivotal to our findings is the system's remarkable capability to distill and generate precise financial insights, thereby significantly enhancing the FinTech domain's intelligence and operational efficiency. In conclusion, FinanceQA-Agent represents a transformative stride in FinTech, propelling the industry towards a future characterized by exceptional intelligence, efficiency, and security through its sophisticated question-answering prowess. © 2024 IEEE.

关键词： Semantics

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Farmer's Crop Welfare System 15

Farmer's Crop Welfare System

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15th international conference on advances in Computing, control, and Telecommunication Technologies, ACT 2024

作者： Dhamodhar, G. Krishna, B. Vamsi Reddy, D. Sampath Reddy, A. Sameer Amutha, S. Ganesan, Kothai Department of Computer Science and Engineering Kalasalingam Academy of Research and Education Tamilnadu Virudhnagar India Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore Dist. Tamil Nadu India

ISBN: (纸本)9798331300579

The "Farmer's Crop Welfare System" is a technology that uses advanced data analytics and artificial intelligence to improve crop management and yield. It combines crop prediction, disease detection, and fertilizer recommendation. Crop prediction uses historical and real- time data, while disease detection uses image recognition and deep learning to identify early signs of diseases, promoting sustainable farming practices. © Grenze Scientific Society, 2024.

关键词： Livestock

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intelligent controller to Improve Stator Voltage Regulation Performance of a Standalone DFIG: Real-Time Validation

Intelligent Controller to Improve Stator Voltage Regulation ...

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2024 international conference on advances in Electrical and Communication Technologies, ICAECOT 2024

作者： Boucetta, Fella Benchouia, M.T. Bechrif, M. Chebani, M. Golea, A. Boumaaraf, R. Mohamed Khider University Dept. of electrical engineering Biskra Algeria University of Bourgogne Belfort France

ISBN: (纸本)9798350353754

In this paper, an intelligent controller is proposed to improve the stator voltage magnitude regulation performance of a wind-driven DFIG feeding local AC loads. Unlike in grid-connected mode, the rotor side control (RSC) focus during standalone operation is to generate a constant stator voltage amplitude and frequency under variable conditions such as wind-speed changes and load variations. The objective is to replace the classic PI control technique with a robust fuzzy logic technique to achieve high-performance stator voltage control. The control algorithm has been implemented on the dSPACE1104 system with a real 3 kW DFIG in the LGEB laboratory, demonstrating its practical viability. The performance of the developed fuzzy logic-based intelligent voltage controller is evaluated by comparison with the conventional PI controller under different operating conditions. The findings demonstrate the superior performance of the fuzzy logic controller in stator voltage control compared to the conventional PI controller. © 2024 IEEE.

关键词： Proportional control systems

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Application research on construction safety management of building engineering based on computer vision technology 24

Application research on construction safety management of bu...

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5th international conference on computer Science and Management Technology, ICCSMT 2024

作者： Han, Yuanyuan School of Humanities Shanghai Institute of Technology Shanghai China

ISBN: (纸本)9798400709999

With the rise of artificial intelligence, the application of computer vision technology in the construction safety management of construction engineering is increasingly *** the application of computer vision technology in the construction safety management is not only an upgrade of the existing safety management mode, but also provides theoretical contributions and technical support for the realization of future intelligent ***, this study discusses the application of computer vision technology in the construction safety management of construction projects by constructing a construction engineering safety control *** framework evaluates the construction safety situation reasonably and quantitatively through the processing process of image acquisition and preprocessing, image recognition, data analysis and control system on the construction *** the visual management of construction site personnel, construction equipment, construction materials, construction standards and construction environment, and improve the safety management effect of construction site. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Project management

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Simulation and intelligent Fault Diagnosis of Bidirectional LLC Resonant Converter 4

Simulation and Intelligent Fault Diagnosis of Bidirectional ...

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4th international conference on advances in Electrical engineering and computer Applications, AEECA 2023

作者： Jiang, Shuo Zhang, Xiaorui Wang, Lei Luo, Dongyang Bi, Ran Li, Chuwei Institute of Telecommunication and Navigation Satellites China Academy of Space Technology Beijing China

ISBN: (纸本)9798350308082

This paper proposes a frequency conversion control method with synchronous rectification and synchronous equal width by studying the topology and theory of bidirectional LLC resonant converters. It improves the efficiency of the converter, expands the adaptability range of the converter, and conducts simulation verification through PSIM. At the same time, this paper achieved structural and parametric fault simulation injection of the circuit through simulation methods, obtained rich fault sample data, and completed structural fault diagnosis of circuit MOSFET based on random forest, as well as circuit capacitance parametric fault diagnosis and capacity prediction based on LSTM random forest. © 2023 IEEE.

关键词： Failure analysis

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