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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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IoT Based Smart Home Appliance control for detecting the speed using Wifi 802.11a in Comparison with Wi-Max 4

IoT Based Smart Home Appliance Control for detecting the spe...

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4th international conference on advances in computing, communication control and networking, ICAC3N 2022

作者： Kalyan Reddy, D. Vimala, G.S. Annie Grace Saveetha University Saveetha Institute of Medical and Technical Sciences Tamilnadu Chennai602105 India Saveetha University Saveetha School of Engineering Department of Electronics and Communication Engineering Tamilnadu Chennai602105 India

ISBN: (纸本)9781665474368

The purpose of this research is to investigate the viability of utilising Wi-Fi 802.11a for the control of household appliances and to evaluate its performance in comparison to that of WiMAX. The sample size is two, and there are two separate groups for each of them is one hundred. When evaluating the efficiency of the Internet of Things-based household appliances, 200 representative samples in total are used, with a type I error rate of 0.05 and a pertest power of 80%. utilised. WiMAX and WIFI 802.11a are contrasted with regard to how quickly they transfer data. It has been determined that the mean speed of WIFI 802.11a can now reach up to 54 Mbps, while the mean speed of WiMAX is 10 Mbps. WiMAX is not nearly as good as Wi-Fi 802.11a-based home appliance solutions for the Internet of Things (IoT). © 2022 IEEE.

关键词： Internet of things

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An Improved BBR Algorithm with Adaptive Congestion control for LEO Satellite Networks

An Improved BBR Algorithm with Adaptive Congestion Control f...

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2024 international conference on Cloud and Network computing, ICCNC 2024

作者： Wang, Zhiyi Zhao, Ya Han, Wei Jin, Fan Lan, Lixin Lu, Haitao Chen, Chen State Grid JiLin Province Electric Power Company Limited Information Changchun China Xidian University School of Telecommunications Engineering Xi'an China Xi'An Beilin University-Based Innovation Group Co. Ltd. Xi'an China National Key Laboratory of Science and Technology on Space Microwave Xi'an China Ningbo Joynext Technology Corporation Joynext Ningbo China Science and Technology on Communication Networks Laboratory Shijiazhuang050000 China Xidian University Xidian Hangzhou Institute of Technology Hangzhou China

ISBN: (纸本)9798350367805

Low Earth Orbit (LEO) satellite networks are favored for their global coverage, low latency, and geographical flexibility, but they also face challenges of high dynamism in network topology and congestion control. To address these issues, this study introduces an improved BBR congestion control algorithm (Deep-BBR) based on traffic prediction. The algorithm integrates Long Short-Term Memory networks, Graph Convolutional Networks, and attention mechanisms to accurately predict bandwidth utilization and dynamically adjust pacing gains. Experimental results show that the Deep-BBR algorithm significantly outperforms the traditional BBR algorithm in effective throughput, latency, and in-flight data management, effectively enhancing the communication performance and stability of LEO satellite networks. This improvement offers a more efficient and intelligent solution for congestion control in LEO satellite networks. © 2024 IEEE.

关键词： Satellite communication systems

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Nuclei Classification in Histopathology Images Using Fuzzy Ensemble of Convolutional Neural Networks 14

Nuclei Classification in Histopathology Images Using Fuzzy E...

引用

14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Kadaskar, Mukul Patil, Nagamma National Institute of Technology Karnataka Department of Information Technology Surathkal India

ISBN: (纸本)9798350335095

The development of computational pathology and healthcare studies depends on cell nuclei classification. It has several lifesaving uses, particularly in cancer diagnosis. It is helpful in various applications, including disease diagnosis and medicinal therapy. Due to the number of problems, human examination of these image slides is unpleasant and time-consuming. Morphological traits add to the intricacy. We suggested a fuzzy distance ensemble of Convolutional Neural Networks to achieve state-of-the-art nucleus classification performance. This new model is easier to train and makes more accurate predictions using underlying basic classifiers. To examine how well our model worked, we used the PanNuke dataset. Our model's scores are 0.811 for accuracy, 0.811 for F1, 0.815 for precision, and 0.809 for recall. © 2023 IEEE.

关键词： Disease control

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Early Detection of DDoS Attacks in SDN using Machine Learning Techniques 14

Early Detection of DDoS Attacks in SDN using Machine Learnin...

引用

14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Pericherla, Parvathi Sanjana Thangavel, Senthil Kumar Srinivasan, Kartik Tibrewal, Anjali Vajipayajula, Sulakshan Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Amrita School of Computing Coimbatore India Ibm India Pvt Ltd Ibm Security India

ISBN: (纸本)9798350335095

Software-defined networking (SDN) have emerged as a popular approach to manage network traffic in data centers. By separating the control plane from the data plane, SDN enables intelligent controllers to manage network traffic in real-time, which offers greater flexibility and fine-grained control over network policies. However, SDN is vulnerable to attacks that compromise the control plane, which can have serious consequences for the entire network. For instance, an attacker could attack the control plane and manipulate network traffic to cause a denial-of-service (DoS) attack or steal sensitive data. To address this problem, this paper proposes an architectural design change to enhance the security of the SDN controller and flow. Extensive analysis is performed to evaluate the performance of different machine learning algorithms on a dataset of malicious network traffic. Classification of the network traffic is performed using popular algorithms, such as Decision Trees, Random Forest, K-Means, and SVC algorithms as either benign or malicious. Followed by model performance is traced back using explainable AI. Results showed that Hybrid Random Forest-Decision tree Tree classified the traffic with highest accuracy of 98% compared to previous models. Our goal was to determine which algorithm performed best on this type of dataset, and to assess the effectiveness of each algorithm in detecting different types of attacks and finding a reasoning behind the performance of algorithm using explainable AI. © 2023 IEEE.

关键词： Software defined networking

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Exploring Recent advances in Sentiment Analysis, Research Methodologies, and Technical Approaches for the Study of Bank Nifty Index 8

Exploring Recent Advances in Sentiment Analysis, Research Me...

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8th IEEE international conference on computing, communication, control and Automation, ICCUBEA 2024

作者： Ukhalkar, Prakash Zirmite, Ravikant Bhate, Manasi Hingane, Suraj Hingane, Swati Pimpri Chinchwad College of Engineering Mca Department Pune India MES's Institute of Management and Career Courses Mca Department Pune India Abhinav Education Society's Institute of Management and Research Mca Department Pune India Rmd Sinhgad School of Management Studies Mba Department Pune India

ISBN: (纸本)9798350391770

Sentiment analysis has emerged as a pivotal technique in deciphering investor sentiment and market trends, thereby influencing investment decisions in financial markets. This paper delves into the recent strides made in sentiment analysis, research methodologies, and technical approaches specifically tailored for studying the Bank Nifty Index, a key benchmark in the Indian financial landscape. By integrating sentiment analysis with traditional financial analysis techniques, researchers and practitioners stand to glean deeper insights into market dynamics and make more astute investment choices. This paper encompasses recent developments in sentiment analysis, research methodologies and technical approaches, scrutinizes their applicability to the Bank Nifty Index, and elucidates their implications for financial research and practice. © 2024 IEEE.

关键词： Decentralized finance

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System Identification and Analysis of Temperature control System 1

System Identification and Analysis of Temperature Control Sy...

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1st IEEE international conference on advances in Electronics, communication, computing and Intelligent Information Systems, ICAECIS 2023

作者： Anitha, M. Prusty, Sankata Bhanjan REVA University School of Electronics and Communication Engineering Bengaluru560064 India

ISBN: (纸本)9798350348057

In real world, most of the phenomenons occur based on some physical, chemical and biological laws. The study of phenomena becomes much easier through the use of mathematical models with various approaches. In many controls engineering, it is often very important to automate the control process and ensure the optimum performance of the system. Many methods are developed to convert the real time data into the mathematical model. The process of obtaining the mathematical relationship of dynamic behavior of the system is known as system identification. The system identification using empirical method is carried based on the datasets imported into the MATLAB for temperature control system Heat exchanger system. The proportional integral derivative PID controller is used to uplift the substantial optimum performance of the system. The best fit transfer function is identified and the states space model and transfer function model are compared in system identification SI tool box in MATLAB. © 2023 IEEE.

关键词： Three term control systems

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