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IoT-Enabled Asthma Trackers for Children with KNN for Improved Breathing control 5

IoT-Enabled Asthma Trackers for Children with KNN for Improv...

引用

5th IEEE international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2025

作者： Sathyanathan, P. Balachander, K. Pandey, Pramod Srinivasan, V. Prasanna Ganeshbabu, T.R. Muthulekshmi, M. Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Electrical and Electronics Engineering Tamil Nadu Chennai India R.M.K. College of Engineering and Technology Department of Artificial Intelligence and Data Science Tamil Nadu Chennai India Nagpur Campus Maharashtra Pune India R.M.D. Engineering College Department of Information Technology Tamil Nadu Chennai India Department of Electronics and Communication Tamil Nadu Namakkal India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350356236

Managing asthma in children is a complex task that needs constant vigilance and personalized treatments to get the best potential control. For better respiratory management, an Internet of Things (IoT)-enabled pediatric asthma tracking system that uses machine learning (ML) methods, particularly for K-nearest neighbors (KNN), is presented. The system's integration of wearable sensors, which continuously monitor vital signs and environmental conditions, provides a comprehensive view of the child's respiratory health. Asthma exacerbation causes, and trends may be discovered by analyzing the obtained data using KNN algorithms. Analysis allows for the generation of real-time warnings and feedback, allowing caregivers to take proactive steps in reducing risks and optimizing treatment procedures. Our IoT-enabled method for improving respiratory control and decreasing asthma-related consequences in children is feasible and effective in pilot research, including children with asthma. Our research highlights the promise of IoT devices and ML algorithms to transform how pediatric asthma is treated by providing tailored, evidence-based treatments that lead to better health outcomes. © 2025 IEEE.

关键词： Pediatrics

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Toxic Chat Detection using Deep Learning 14

Toxic Chat Detection using Deep Learning

引用

14th international conference on advances in computing, control, and Telecommunication Technologies, ACT 2023

作者： Kaulage, Anant More, Aniket Binnar, Nilesh Narnaware, Paridhi Narote, Atharv Vishwakarma Institute of Technology Department of Computer Engineering Pune India

The value of remaining respectful in an online discussion cannot be emphasised. "Wilful and repetitive harm perpetrated through the medium of electronic messaging" is characterised as cyberbullying. It includes delivering derogatory, threatening, and/or sexually explicit messages and photos to targets using websites, blogs, instant messaging, chat rooms, email, cell phones, websites, and personal online profiles. As a result, identifying and removing harmful communication from public forums is a critical task that human moderators are incapable of performing. Body shaming may now be seen on every social media site. People are willing to go to any extent to humiliate others. This type of issue affects our society's females more significantly. We may make use of the model. © Grenze Scientific Society, 2023.

关键词： Social networking (online)

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Sustainable Manufacturing in Industry 4.0: Enhancing Safety and Rapid Response in Industrial control Systems with Smart Edge IoT Devices 15

Sustainable Manufacturing in Industry 4.0: Enhancing Safety ...

引用

15th international conference on computing communication and networking Technologies, ICCCNT 2024

作者： Mathew, Midhya Kakani, Divyam Somaiya Vidyavihar University K J Somaiya College of Engineering Electronics Engineering Department Mumbai400077 India

ISBN: (纸本)9798350370249

In this research we delve into the dynamic synergy between sustainable energy and Industry 4.0 within the field of 'Energy and Sustainable Engineering.' It centers on integrating an emergency email generation system into a robust digitalization framework. The study prioritizes hands-on training, emphasizing practical applications that blend sustainable energy practices with the transformative principles of Industry 4.0. By focusing primarily on the intersection of sustainable energy, the project underscores the crucial role of digitization. This seamless integration aligns with the principles of automation, smart technologies, and the evolving landscape of digitization within industries committed to sustainable energy practices. The primary objective in this experiment is to integrate Industrial IoT into the realm of smart manufacturing, effectively incorporating our system into the framework of Industry 4.0, while prioritizing energy sustainability. Through this integration, our experimental results demonstrate that in the event of an emergency condition, instead of the automation system persisting under faulty conditions, an email notification is immediately sent to the operator, facilitated by IoT. This approach not only ensures swift response to critical situations but also contributes to energy conservation and overall sustainability. This initiative significantly contributes to ongoing discussions surrounding sustainable energy, digital transformation, and Industry 4.0, marking a significant step forward in promoting conscientious industrial practices for the future. © 2024 IEEE.

关键词： Digitization Industrial Internet of Things (IIoT) Industry 4.0 Sustainable energy

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Efficient Data Transmission using PSO Algorithm in Wireless Sensor Networks 15

Efficient Data Transmission using PSO Algorithm in Wireless ...

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

作者： Kalaiselvi, K. Thilak, K.Deepa Devi, K.Lalitha Kumaresan, K. Malathi, M. Faculty of Engineering and technology Department of Networking and communications SRM Institute of science and technology Kattankulathur Tamilnadu Chennai India Department of Computer science and Engineering Sathyabama Institute of Science and Technology India Department of CSE KSR College of Engineering Tiruchengode Tamilnadu Namakkal India Tamilnadu Namakkal India

ISBN: (纸本)9798331300579

A Wireless Sensor Network is made up of a large number of small, low-power sensor nodes that are randomly or manually distributed across an uncontrolled target ***, the WSNs' main constraint is the sensor nodes' restricted power *** a result, energy saving at sensor nodes is the most difficult barrier for WSNs' long-term *** and low-energy routing are two well-known optimization tasks that have received a lot of attention in the quest to extend the life of wireless sensor networks (WSNs).In a periodic data gathering application, the Particle Swarm Optimization (PSO) technique is employed to overcome this *** monitor the environment on a regular basis and send data to the base station (BS), which analyses the data and draws conclusions about the field activities.A cluster is used to send the data to the base station.A cluster head receives data from sensor nodes and transmits it to the cluster head, which combines the information and sends it to the base *** packet delivery ratios and throughput have both been *** a result, total energy consumption is reduced. © Grenze Scientific Society, 2024.

关键词： Particle swarm optimization (PSO)

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Real-Time Threat Detection in Critical Infrastructure with Machine Learning and Industrial control System Data 3

Real-Time Threat Detection in Critical Infrastructure with M...

引用

3rd international conference on Smart Generation computing, communication and networking, SMART GENCON 2023

作者： Kumar, Atul Sharma, Ishu Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350319125

The present study introduces a framework for the detection of threats in critical infrastructure in real-time. This framework leverages the capabilities of machine learning and utilizes data from Industrial control Systems (ICS). In order to evaluate the accuracy of threat identification, we conducted a comparative analysis of three well-known machine learning models: Logistic Regression, Random Forest, and Knearest Neighbors. Our study specifically emphasized the importance of precision as a key parameter in this assessment. The results of our study indicate that Logistic Regression has higher performance compared to the other models, emerging as the most effective method for effectively identifying possible hazards in real-time ICS data. This study highlights the effectiveness of Logistic Regression in strengthening security protocols within vital infrastructure, presenting a hopeful resolution to protect against rising risks and weaknesses. © 2023 IEEE.

关键词： Cybersecurity K-nearest Neighbors Logistic Regression Malicious Server Attack Random Forest Security Server Hack Techniques Threat Detection

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Smart Water Management System: Automated Water Billing with Detection and control of Water Leakage 15

Smart Water Management System: Automated Water Billing with ...

引用

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

作者： Ninawe, Swapnil S. Pavithra, G. Manjunath, T.C. Samyama Gunjal, G.H. Department of Electronics & Communication Engineering Dayananda Sagar College of Engineering Karnataka Bangalore India Department of Computer Science & Engineering University Visvesvaraya College of Engineering Bangalore University Bangalore India

ISBN: (纸本)9798331300579

Water leakage is an important component of water losses. In addition to raising consumer awareness of their water use, metering is also an important way to identify and locate water leakage. A leakage detection program can be highly proactive, helping water utilities automate water system, detecting problem areas earlier, giving customer tools to monitor water use, providing more accurate rates and reducing demand. The objective is to overcome the disadvantages of using meter technology and make the billing troubleshooting process faster along with reducing the wastage of water. Message and Wi-Fi(IOT) technology automatically collect consumption, diagnosis, and collect status data from energy meter and advancement save utility provides the expense of periodic trips to each physical location to read a meter. Another advantage is billing can be based on near real time consumption rather than one estimates based or previous or predicted consumption. © Grenze Scientific Society, 2024.

关键词： Information leakage

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Computer Vision for Automated Quality Inspection in Manufacturing 3

Computer Vision for Automated Quality Inspection in Manufact...

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international conference on advances in computing, communication and Applied Informatics (ACCAI)

作者： Balakrishna, Kasharaju Tiwari, Vidhika Deshpande, Arati V. Patil, Sunilkumar Rajaram Garg, Ajay Kumar Geetha, B. T. SR Univ Sch Comp Sci & Artificial Intelligence Warangal Andhra Pradesh India DPGITM Dept Mech Engn Gurugram Haryana India VIT Comp Engn Pune Maharashtra India Bharati Vidyapeeths Coll Engn Lavale Pune Dept Mech Engn Pune Maharashtra India Univ Delhi Commerce Delhi India Saveetha Univ SIMATS Saveetha Sch Engn Dept ECE Chennai Tamil Nadu India

ISBN: (纸本)9798350389432;9798350389449;9798350389456

The study demonstrates how computer vision systems can enhance icing product quality by improving its thickness, effectiveness, and delicacy against blights. These systems use advanced imaging techniques and machine learning algorithms to identify anomalies and nonconformities in real-time. Consequently, there is a significant decrease in the need for people to depend on their own produced tests. By integrating computer vision into manufacturing processes, the likelihood of catastrophic errors and the associated costs are reduced, while simultaneously improving the efficiency of the examination process. Additionally, the assessment process is made more effective by the integration of computer vision into industrial operations. The goals of this research are to examine the approaches that are currently in use, address issues related to illegal activity, and offer case studies that highlight the application of computer vision in various manufacturing contexts. Based on the results, it has been concluded that the application of computer vision for automated quality inspection holds significant promise for improving product quality as well as functional effectiveness in the industrial sector.

关键词： Computer vision automated inspection quality control manufacturing processes machine learning defect detection and industrial automation

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Design of 32 Bit RISC V Processor 15

Design of 32 Bit RISC V Processor

引用

15th international conference on computing communication and networking Technologies, ICCCNT 2024

作者： Meeradevi, T. Mohanraj, K. Mourissh, B.M. Santhosh Sivaa, V. Samikannu, Ravi Sasikala, S. Kongu Engineering College Department of ECE Perundurai Erode India International University of Science and Technology Department of Electrical Computer and Telecommunications Engineering Palapye Botswana

ISBN: (纸本)9798350370249

This paper presents the design and implementation of a RISC-V processor core with a single-stage architecture, focusing on the execution of the base 32I instruction set. The processor core features a 32-bit address and data architecture, with 32 general-purpose registers for data manipulation. The design adheres strictly to the RISC-V ISA specifications, ensuring compatibility with existing software and toolchains. Key components of the processor core include a fetch unit, decode unit, ALU unit, register file, memory control unit, and instruction memory unit. Through rigorous design and simulation, the processor core achieves single-clock-cycle execution, enabling efficient processing of instructions at an operating frequency of 2.2 KHz. The instruction memory unit facilitates the retrieval of instructions from a 4.5 KB memory array, while simultaneous read and write capabilities are supported for both registers and data memory. Additionally, 13 pseudo-instructions have been incorporated to enhance programming ease and readability. Performance evaluation of the processor core demonstrates its effectiveness in executing a variety of computational tasks, showcasing its reliability and efficiency within the specified operational parameters. The design serves as a foundation for future enhancements, including the integration of pipeline architecture, branch prediction mechanisms, and frequency optimization. © 2024 IEEE.

关键词： Memory management units

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User controlled Routing Exploiting PCEPS and Inter-domain Label Switched Paths 2nd

User Controlled Routing Exploiting PCEPS and Inter-domain La...

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2nd international conference on advances in computing Research-ACR

作者： Boldrini, Leonardo Bachiddu, Matteo Koning, Ralph Grosso, Paola Univ Amsterdam MNS Grp Amsterdam Netherlands Politecn Torino NETGrp Turin Italy SIDN Labs Arnhem Netherlands

ISBN: (纸本)9783031569494;9783031569500

The UPIN project tackles the security issue of the Internet at its root, by providing more transparency and control over the network to the end user. Traffic Engineering is required to create paths across multiple domains following constraints set by the user. We present here the feasibility of using the Path Computation Element communication Protocol Secure (PCEPS) to accomplish the goal of traffic steering hence control - across multiple domains. Specifically, we leverage on IPv4 Segment Routing (SR) and a modified version of the Netphony Path Computation Element (PCE) to build a multi domain Label Switched Path (LSP) according to a user's request. We present a proof of concept where we verify the correctness of the operation of the modified PCE code.

关键词： PCEPS PCEP UPIN Segment Routing Path control

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An exploratory study on how release management practices minimize the impact factors affecting software releases 3

An exploratory study on how release management practices min...

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3rd international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2023

作者： Raja Vennakandla, Charan Sai Riaz, Sadia Chowdhury, Anish Roy Business Administration SP Jain School of Global Management Sydney Australia Information Technology SP Jain School of Global Management Sydney Australia

ISBN: (纸本)9781665494007

Software delivery is always challenging without any issues. During this process of software delivery, release management team plays a significant role in planning, communication, coordination, and implementation. This paper covers exploratory study some of the factors that influence software releases and how release management strategies and practices will help in minimizing those factors to have smoother software releases on time and within budget. © 2023 IEEE.

关键词： Budget control

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