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Delving into the Intricacies and Nuances of Modern Nested Network Systems 7th

Delving into the Intricacies and Nuances of Modern Nested Ne...

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7th international conference on Communication, Device and Networking, ICCDN 2024

作者： Mishra, Amba Saikia, Ankur Pan Krishnamoorthy, Ramkumar Patel, Warish Department of IT and M.Tech Integrated Noida Institute of Engineering and Technology Uttar Pradesh Greater Noida India Department of Computer Technology Assam Down Town University Assam Guwahati India Tiergartenstr. 17 Heidelberg69121 Germany Karnataka Bangalore India Faculty of Engineering and Technology Department of Computer Science and Engineering Parul Institute of Engineering and Technology Parul University Gujarat Vadodara India

ISBN: (纸本)9789819753369

The paper "Delving into the Intricacies and Nuances of Modern Nested Network Systems" investigates a novel approach to solving the problems inherent in today’s nested network systems. The suggested technique is an all-encompassing strategy for dealing with such complex systems that makes use of Breadth-First Search (BFS), Genetic Algorithms (GAs), and Deep Neural Networks (DNNs). The purpose of this research is to compare the suggested method to six current practices. The scalability, latency, security, load balancing, fault tolerance, energy efficiency, and quality of service of the network, among others, will all be evaluated as part of this strategy. Using these measures, the suggested technique is compared to the state of the art, with numerical results demonstrating its superiority. The use of four distinct kinds of diagrams to display the comparisons further emphasizes the better performance of the suggested approach. The suggested approach is the best option for dealing with the complexity of contemporary multilayer network topologies, as it enhances performance in a broad range of ways. In order to meet the ever-evolving problems presented by such networks, the results highlight the need of adaptive optimization, automation, and cutting-edge learning methods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Quality of service

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Evaluating Kubernetes Distributions: Insights from Stress Testing Scenarios 17

Evaluating Kubernetes Distributions: Insights from Stress Te...

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17th international conference on COMmunication Systems and NETworkS, COMSNETS 2025

作者： Ramadan, Ibrahim Mohamed Centofanti, Carlo Marotta, Andrea Graziosi, Fabio University of L'Aquila Department of Information Engineering Computer Science and Mathematics L'Aquila67100 Italy

ISBN: (纸本)9798331531195

In the modern era, Kubernetes has gained widespread adoption for its capability to manage containerized applications through automation. With a variety of Kubernetes distributions aimed at enhancing and extending core functionalities, there's a pressing need for a thorough evaluation to identify the most efficient solutions for orchestrating workloads. This study aims to assess a variety of Kubernetes distributions including k3s, k3d, Kind, MicroK8s, Minikube, and standard streamlined Kubernetes, focusing on pod orchestration efficiency under stress conditions. Utilizing the open-source tool kube-burner for stress testing, we propose a testing architecture and methodology to measure pod initiation, scheduling, and overall readiness times. The results show that streamlined Kubernetes and k3d outperform the others overall, with Minikube excelling in initiation time, while Kind's performance suggests it might not be suitable for production environments. This analysis highlights the trade-offs and performance impacts of different Kubernetes distributions, guiding users in selecting the most efficient option for their needs. © 2025 IEEE.

关键词： Kubernetes Microservices Orchestration Performance Evaluation Workload Optimization

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A New Method for One-Pedal Driving With Fuzzy-Based Efficiency-Optimization Algorithm

A New Method for One-Pedal Driving With Fuzzy-Based Efficien...

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2025 IEEE international conference on Mechatronics, ICM 2025

作者： Heydrich, Marius Hammer, Tim Mitsching, Thomas Ivanov, Valentin Technische Universitä t Ilmenau Dept. of Computer Science and Automation Ilmenau Germany Technische Universitä t Ilmenau Dept. of Mechanical Engineering Ilmenau Germany

ISBN: (纸本)9798331533892

This paper presents a case study on adaptive one pedal driving for a battery electric sport utility vehicle with in wheel based rear-wheel drive that is able to adjust the drive pedal curve automatically. In addition, a fuzzy logic observes the state of the electric machines to adapt the motor torque to the most efficient region. The control method was tested in a co-simulation using a validated vehicle model and a driver-in-the-loop strategy. Within the experiments, an improvement in energy recovery of up to 4.8 % was achieved compared to the classic brake blending. In addition, the total number of brake pedal applications is ten times lower, which translates into less driving stress and greater driving comfort, especially on long distance trips, proving the effectiveness of the controller. © 2025 IEEE.

关键词： Vehicle wheels

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IoT-based Door automation and Smart Health Monitoring System 3

IoT-based Door Automation and Smart Health Monitoring System

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3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Chaurasiya, Ruchi Yadav, Shakshi Malik, Swagata Belwal, Meena Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

This project presents the design of an automated access control system that aims to enhance security through the use of an ultrasonic motion sensor and a live heartbeat check. This system makes use of an ultrasonic sensor which detects any motion within a certain radius directing a signal to the controller based on Arduino. The controller is able to communicate with a script written in Python that queries API for the pulse of the user in question. Using these parameters,the system compares the real-time heartbeat of the pulse taken against the thresholds set *** the parameters exceed the range,the control unit within the Arduino will trigger the servo to unlock the door. Another scenario the parameters are within range,the door will remain closed. Such a system is able to increase the control measures in biological information system as it enables people to open the door while maintaining their hands free. The outcome demonstrates that by combining simple hardware components with data processing techniques, a reliable and secure automated access system can be created with minimal manual intervention, improving security while ensuring ease of use. © 2025 IEEE.

关键词： Access control

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Automated Immune Cell Classification using Image Processing Techniques 6

Automated Immune Cell Classification using Image Processing ...

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6th international conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Sathiyaprasad, B. Reddy, Arva Hari Vardhan Abdurrahman, Usama Micheal, A. Annie Department of Computer Science and Engineering Sathyabama institute of science and technology Chennai India

ISBN: (纸本)9798331522667

Advances in immunological research are essential for elucidating immune responses and developing targeted therapeutic approaches. This study proposes an automated method for immune cell classification leveraging machine learning and image processing techniques. A novel framework is introduced, combining high-resolution imaging with computational algorithms to accurately classify various immune cell types from biological samples. The methodology incorporated preprocessing steps, like normalization and noise reduction. Then, deep learning models, such as CNNs and SVMs, will be applied for feature extraction and classification. These models were trained on annotated datasets derived from flow cytometry and microscopy, demonstrating better accuracy and reliability. Results demonstrate an improvement in processing speed and accuracy of classification over traditional approaches, which underlines the importance of automation in immunological diagnostics. The data obtained can be used in high-throughput immunotherapy and disease diagnostic screening;it allows for the identification of immune cell populations within a short period and therefore improves research efficiency. The work provides a basis for real-time analysis and incorporation of multiscale datasets that will help to better understand immunity and its associated disorders. © 2025 IEEE.

关键词： Convolutional neural networks

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Platform-specific code generation method for the tyche embedded operating system based on AADL models 3

Platform-specific code generation method for the tyche embed...

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3rd international conference on Algorithms, Network, and Communication Technology, ICANCT 2024

作者： Chen, Li Jia, Zhangtao An, Heng Li, Haoyu Beijing Computer Technology and Application Research Institute Beijing China

ISBN: (数字)9781510688902

ISBN: (纸本)9781510688896

The Tyche Embedded Operating System is a highly customized real-time embedded operating system, widely applied in fields such as aerospace, medical devices, and industrial automation. Renowned for its robust support for real-time tasks and efficient resource management, this system has become a core technology in embedded system development. The Architecture Analysis and Design Language (AADL), as a stringent standardized modeling language, possesses powerful expressiveness and scalability. This paper proposes a method for generating platform-specific code for the Tyche Embedded Operating System based on AADL models, which involves describing complex systems through AADL modeling and generating safety-critical software suitable for the Tyche Embedded Operating System. Firstly, the paper elaborates on the key aspects of the AADL standard and adheres to these aspects for modeling safety-critical systems. Secondly, an intermediate layer is introduced, outlining the mapping rules from the AADL common subset to the intermediate code, generating intermediate code for each component within the system architecture, and ultimately compiling it into C code applicable to the Tyche platform. Finally, a prototype tool for code generation is provided, and the effectiveness of the proposed method is validated through a case study of a temperature control system. © 2025 SPIE.

关键词： Program compilers

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Consideration of Durability and Storability at the Overall Dependability Assessment of Industrial Control Systems 1

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7th international Russian automation conference, RusAutoCon 2024

作者： Solovyev, A.V. Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences 44/2 Vavilova str. Moscow119333 Russia

ISBN: (数字)9783031824944

ISBN: (纸本)9783031824937

The article presents the indicators for the quantitative assessment of durability and storability developed in this research and mathematical models for their calculation and use in the assessment of the overall dependability of industrial control systems. The relevance of the research is underpinned by the fact that data in digital form during the digital transformation of the economy and society is becoming a key factor in digital manufacturing in general and when used in industrial control systems in particular. Mathematical models are developed for the following indicators: storage life, probability of storability, mean storage life, and gamma-percentile storage life. The proposed system of indicators is new and was developed on the basis of international standards for dependability assessment, such as GOST 27.102-2021, IEC 60319, ISO 2394, GOST R 54989-2012, and ISO/TR 18492:2005. The advantage of the proposed system of indicators is their simplicity and harmonization with the existing calculations of standardized dependability indicators. In further research, the author plans to improve the presented mathematical models of durability and storability assessment and develop a methodology for their consideration in the overall dependability assessment of industrial control systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Digital control systems

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SafeHome: automation and Security System Using Internet of Things with Mobile Application 5

SafeHome: Automation and Security System Using Internet of T...

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5th international conference on Advanced Research in Computing, ICARC 2025

作者： Abas, Patricia A. Reyes, Bryll Christopher O. Serquina, Jazzy Niega, Juliet O. Medina, Oliver A. National University - Philippines Department of Computer Engineering Calamba City Philippines

ISBN: (纸本)9798331530983

The rapid advancements in Internet of Things (IoT) technology have transformed home automation and security, addressing the demand for convenience, comfort, and energy efficiency. Despite global market growth, barriers such as limited user understanding, power dependency, and lack of localized functionality hinder adoption in the Philippines. To address these challenges, this study developed SafeHome, an IoT-enabled smart home automation and security system. SafeHome integrates ESP32 and Arduino Nano microcontrollers with Firebase Realtime Database, enabling real-time device synchronization and monitoring through an Android mobile application. Key features include PIN-based security, push notifications, ultrasonic presence detection, and a safety breaker to prevent electrical hazards. The system also incorporates offline keypad access and backup power to ensure uninterrupted security operations. Agile Scrum methodology guided the system's iterative development, emphasizing user-centric design and continuous testing. A quantitative approach was applied to the descriptive research method using a five-point Likert scale in the evaluation. Data were collected from 12 evaluators, comprising six industry professionals and six homeowners, using a survey instrument based on the ISO/IEC 25010:2023 product quality model. The evaluation result from industry professionals is 4.76 out of 5, and 4.93 out of 5 from homeowners, corresponding to an "Excellent"descriptive interpretation. This result shows the developed system meets high security, usability, and user acceptance performance. Overall, the study demonstrates the potential of IoT-driven solutions to bridge gaps in home automation, offering an accessible and adaptable system tailored to local contexts. SafeHome advances smart home technology and addresses critical challenges, ensuring broader adoption and impact in modern residential settings. © 2025 IEEE.

关键词： ISO Standards

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Applying CNNs for the Early Detection of Bone Malignant Tumors in X-Ray Images 3

Applying CNNs for the Early Detection of Bone Malignant Tumo...

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3rd IEEE international conference on automation and Computation, AUTOCOM 2025

作者： Punia, Ankit Saluja, Ashish Singh Garg, Mohan Rajendran, Naveen Kumar Das, Neeraj Narayana, Lakshmi Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Department of Aerospace Engineering Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Bengaluru India

ISBN: (纸本)9798331542375

Bone malignant tumors are cancerous growths that develop in the bones and can be fatal if they remain undiagnosed or untreated for a long time. Since these tumors often grow slowly, early detection is important for successful treatment and high survival rates. Existing medical imaging tools to detect bone malignant tumors, such as X-rays, utilize human expertise and are time-consuming. Thus, recently, computer-aided diagnosis systems have been developed primarily with Convolutional Neural Networks (CNNs). Convolutional neural networks are deep learning models proven to perform highly on pattern recognition tasks, especially in image and video analysis. In this paper, we suggest that CNNs be used in the early finding of bone malignant tumors using X-ray images. It starts by preprocessing the X-ray images before entering them into CNN to perform feature extraction. The resampling data was then used to teach the CNN where one class is 'normal,' and another class has an abnormal, namely a bone malignant tumor. The system's performance was tested on a dataset consisting of X-ray images obtained from patients with bone malignant tumors. Results showed high detection accuracy for both these tumors with sensitivity and specificity of © 2025 IEEE.

关键词： Feature Selection

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An Intelligent Self-Aware Financial Inclusion System for Digital Society 3

An Intelligent Self-Aware Financial Inclusion System for Dig...

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3rd IEEE international conference on automation and Computation, AUTOCOM 2025

作者： Rawat, Ruchira Goyal, Himanshu Rai Sharma, Sachin Kotiyal, Bina Graphic Era Deemed to be University Dept. of Computer Science and Engineering Dehradun India Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798331542375

The continuous advancement in technology has restructured industries, due to innovations in Artificial Intelligence (AI) the financial sector endorsing astonishing transformations. This research recognizes the potential of AI in fintech for digital society while focusing on the transition toward Industry 5.0, which is based on human-AI collaboration. AI technologies, such as Artificial Generative Intelligence (AGI) and Artificial Narrow Intelligence (ANI), are limited in handling intricate, vigorous financial environments. ANI has improved efficiency via credit risk assessment, customer service automation, and fraud detection, whereas AGI aims for more comprehensive decision-making capabilities. ANI and AGI are creating a gap in accomplishing a truly responsive, customer-centric system as it cannot fully adapt to subtle decision-making or erratic market shifts. This paper suggests a Super Artificial Intelligence (SAl) as a promising solution to overcome limitations, standing SAI-based design for a unified nifty digital financial system. Its forward-thinking decision-making proficiencies, self-learning, and flexibility are expected to transmute financial aligned with Industry 5.0's human-centered principles by providing adaptive services, enhancing financial inclusion and personalized. The study identifies key challenges in current AI applications, through a comprehensive review of literature and case studies, such as algorithmic errors and customer facility, and highlights how SAI could offer a more autonomous and ethical approach to financial decision-making. The paper concludes by underscoring the importance of continuous AI validation, ethical considerations, and human oversight to ensure sustainable, secure, and customer-focused financial systems. © 2025 IEEE.

关键词： Fintech

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