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Exploring Taiwan Monkeypox Virus (MPOX/MPXV) Clade IIb by Establishing Dataset and Clustering by using Sequence and Image Similarity Comparisons 24

Exploring Taiwan Monkeypox Virus (MPOX/MPXV) Clade IIb by Es...

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7th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2024

作者： Wang, Tzung-Wei Li, Ming-Kuang Lou, Der-Chyuan Lin, Chun-Yuan Dept. of Electronics Engineering Chang Gung University Taoyuan Taiwan Dept. of Computer Science and Information Engineering Asia University Taiwan Taichung Taiwan Dept. of Computer Science and Information Engineering Chang Gung University Taoyuan Taiwan

ISBN: (纸本)9798400717437

Based on the MPXV Clade IIb cases in Taiwan, 175 segments were identified from OPG001 to OPG210. The first focus of this paper is on sequence analysis of the MPXV cases in Taiwan, detailing the procedures, including semi-automated segmentation and dataset creation from a large number of MPXV Clade IIb nucleotide sequences found in the NCBI and GISAID databases. The second feature highlights the pioneering establishment of an MPXV Clade IIb RNA 2nd structure image dataset in Taiwan, as such a dataset does not yet exist globally. The third characteristic involves the use of unsupervised learning methods for the rapid clustering of MPXV Clade IIb RNA 2nd structure images. This approach allows not only for the quick detection and clustering of unknown MPXV Clade IIb cases but also for the rapid identification of new MPXV mutations and structural changes. Compared to traditional sequence analysis, this new hybrid systematic method significantly enhances overall efficiency, improving processing speed by at least 24 hours when handling the alignment of 10 MPXV sequences from Taiwan. Future plans include using this prototype analytical model and method to accelerate the analysis of critical lethal factors in MPXV Clade IIb, such as D14L, ultimately helping biologists reduce the time required for analysis and antiviral drug development. © 2024 Copyright held by the owner/author(s).

关键词： Nucleotides

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LeXNet++: Layer-wise eXplainable ResUNet++ framework for segmentation of colorectal polyp cancer images

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Neural Computing and Applications 2025年第1期37卷 213-229页

作者： Das, Surajit Khan, Soumya Suvra Sengupta, Diganta Debashis, De Dept. of Information Technology Meghnad Saha Institute of Technology Behind Urbana Complex Near Ruby General Hospital Anandapur Rd Uchhepota Kolkata700150 India Dept. of Computer Science & Engineering Meghnad Saha Institute of Technology Behind Urbana Complex Near Ruby General Hospital Anandapur Rd Uchhepota Kolkata700150 India Dept. of Computer Science & Engineering Heritage Institute of Technology Chowbaga Road West Bengal Anandapur Kolkata700107 India Dept. of Computer Science & Engineering Maulana Abul Kalam Azad University of Technology West Bengal NH-12 Simhat Haringhata West Bengal Nadia741249 India

Colorectal polyps are benign lesions that develop in the colon and can progress to cancer if left untreated. Clinical observations from medical images are often preferred over computational results due to the lack of trust in the machine learning models, thereby posing serious challenge for the explainability of the results. In order to computationally diagnose colorectal polyps from cancerous images and explain the results, we propose a Layer-wise eXplainable ResUNet++ (LeXNet++) framework for segmentation of the cancerous images, followed by layer-wise explanation of the results. We utilize a publicly accessible dataset that contains of 612 raw images with a resolution of 256×256×3 and an additional 612 clinically annotated and labeled images with a resolution of 256×256×1, which includes the infected region. The LeXNet++ framework comprises of three components—encoder, decoder and the bridge. The encoder and the decoder components each comprise of four layers. Each of the four layers in the encoder and the decoder comprises of 14 and 11 internal sub-layers, respectively. Among the sub-layers of the encoder and the decoder, there are three 3×3 convolutional layers with an additional 3×3 convolution-transpose layer in the decoder. The output of each of the sub-layers has been explained through heatmap generation after each iteration which have been further explained. The encoder and the decoder are connected by the bridge which comprises of three sub-layers. The results obtained from these three sub-layers have also been explained to inculcate trust in the findings. In this study, we have used three models to segment the images, namely UNet, ResUNet, and proposed LeXNet++. LeXNet++ exhibited the best result among the three models in terms of performance;hence, only LeXNet++ was explained layer-wise. Apart from explanation of the results fetched in this study, the performance of the proposed explainable model has been observed to be 2% greater than the existing poly

关键词： Image segmentation

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Solution to Mitigate the Disadvantages in the Design of LLC Resonant Converters for Electric Vehicle Fast Chargers with High Output Power and Wide Output Voltage Range

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Transactions of the Korean Institute of Electrical Engineers 2025年第2期74卷 316-325页

作者： Park, Ha-Min Lee, Hyung-Woo Park, Chan-Bae Guo, Youguang Lee, Jae-Bum Dept. of Railway Vehicle & Operation System Engineering Korea National University of Transportation Korea Republic of Dept. of Electrical and Data Engineering University of Technology Sydney Australia Dept. of Railroad Electrical and Information Engineering Korea National University of Transportation Korea Republic of

As the number of electric vehicles grows, the development of fast chargers is advancing rapidly. A DC-DC converter that can deliver high output power, a fixed input voltage, and a wide output voltage range is critical for electric vehicle fast chargers. While the LLC resonant converter is commonly used in these converters, it requires a low magnetizing inductance, which increases the transformer air gap, causing additional AC losses in the windings due to the fringing effect. To mitigate these issues, this study explores design solutions in LLC resonant converters. By using two transformers per module, with the primary sides connected in series and the secondary sides in parallel, the number of primary turns can be reduced, minimizing the air gap. This reduction also allows for structural changes in the windings, improving heat dissipation. Magnetic field analysis and circuit simulations were conducted to validate the proposed DC-DC converter design. Copyright © The Korean Institute of Electrical Engineers.

关键词： Transformer windings

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IoT Based Night Patrol Robot Leveraging Voice technology for Superior Surveillance

IoT Based Night Patrol Robot Leveraging Voice Technology for...

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2025 International Conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Libina, M. Dhevendhiran, R. Praveenkumar, B. Ifet College of Engineering Dept. of Information Technology Villupuram India

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509828

It designs and implements an IoT-based night patrol robot that has improved surveillance capabilities by combining voice technology. The patrol robot system is remote-controlled, patrols designated areas at night, and provides real-time monitoring through onboard sensors and live video feed. This robot provides an easy interface to human operators that can give voice commands. There is no need for physical interactions in terms of remote control or status updates that can run on the desired location from instructions from the control room. The night patrol human risks lead to reduced awareness, vulnerabilities, physical health, and work-life balance. Motion detection, along with the sensing of environmental conditions, and secure wireless communication ensure real-time alerts for suspicious activities in areas like cities, critical areas, and construction sites. The patrol robot is efficient, scalable, and cost-effective in enhancing traditional security systems. The robot can run in a crucial area that human patrol cannot do, ensuring reliability, flexibility, and adaptability to the environment it roams. It includes technologies like motion detection, location tracking, and voice controls that can reduce human intervention while providing improvements in safety in high-risk environments. The robot can increase the emergency patrol assistant by monitoring live video streaming to control rooms. The results from prototype testing indicate effectiveness in performing patrol duties and in responding to voice-based instructions in varying environmental conditions. © 2025 IEEE.

关键词： Remote control

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Comparative Study of Asymmetric Key Cryptographic Algorithms in Image Encryption

Comparative Study of Asymmetric Key Cryptographic Algorithms...

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2025 International Conference on computer, Electrical and Communication engineering, ICCECE 2025

作者： Maiti, Pubali Paul, M. Atanu Kumar Acharya, Meenakshi Government College of Engineering and Ceramic Technology Dept. of Information Technology Kolkata India

ISBN: (纸本)9798331513894

In the realm of information security, ensuring the confidentiality and integrity of image communication has become a critical concern, especially in the context of modern technological advancements. This paper presents an in-dept. analytical study of image encryption using asymmetric key cryptography algorithms such as RSA, ElGamal, Elliptic Curve Cryptography (ECC), and LUC. The study explores the encryption and decryption mechanisms of these algorithms, assesses their computational efficiency, and evaluates their strengths and weaknesses in the context of secure image transmission. The paper concludes with a detailed comparison of these algorithms, identifying the most suitable ones for practical application in secure communication systems. Finally, the study highlights the need for algorithms that are not only secure but also capable of efficiently handling the growing challenges, ensuring minimal computation overhead and no compromise in encryption and decryption speeds. © 2025 IEEE.

关键词： Decryption EIGamal Elliptic Curve Cryptography (ECC) Encryption LUC Rivest-Shamir-Adleman (RSA)

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Optimizing Location Allocation in Urban Management: A Brief Review 29

Optimizing Location Allocation in Urban Management: A Brief ...

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29th International computer Conference, computer Society of Iran, CSICC 2025

作者： Ayati, Aref Naji, Hamid Reza Hashemi, Mohammad Mahdi Saffar, Mohsen Dept. of Computer Engineering and Information Technology Graduate University of Advanced Technology Kerman Iran

ISBN: (纸本)9798331523114

Various issues in the fields of urban management, digital transformation, and smart cities have been presented recently. Currently, we like to attend to optimizing location allocation problems that can be a new part of digital transformation in urban management (such as locating and placing facilities, locating and arranging centers such as aid and rescue centers, or even postal hubs, telecommunications, electronic equipment, data centers, and routing in transportation optimization). These issues, which are seemingly simple but in practice complex, are important in urban environments, and the issue of accurate location allocation based on existing criteria directly impacts cost management, profit, efficiency, and citizen satisfaction. In recent years, researchers have used or presented various models and methods for location allocation problems, some of which will be mentioned in this article. This review examines heuristic and meta-heuristic approaches, including GA, PSO, and GIS-based models, highlighting their applications and limitations in urban management optimization. Finally, a brief conclusion will be made of the existing methods and some of their weaknesses, and suggestions will be made for continuing the path and improving scientific and practical research in this field. © 2025 IEEE.

关键词： Digital Transformation GIS Location Allocation Optimization Smart City Urban Management

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Quantum Resistance Blockchain Algorithm using QHF and Novel Consensus Mechanism

Quantum Resistance Blockchain Algorithm using QHF and Novel ...

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2025 IEEE International Students' Conference on Electrical, Electronics and computer Science, SCEECS 2025

作者： Paul, Soumyadip Mazumdar, Mausumi Maitra Chakraborty, Sarit Government College of Engineering & Ceramic Technology Dept. of Information Technology Kolkata700010 India Government College of Engineering and Leather Technology Department of Computer Science and Engineering Kolkata700106 India

ISBN: (纸本)9798331529833

The emergence of quantum computing poses a significant threat to the security of traditional blockchain systems, which rely heavily on classical cryptographic algorithms. To safeguard the integrity and reliability of blockchain technology in the upcoming era, this work proposes a novel quantum-resistant blockchain architecture. This approach integrates a robust consensus mechanism, with advanced quantum cryptographic primitives, including quantum digital signatures based on a Quantum Hash Function (QHF). Incorporating a quantum hash function enhances the blockchain resistance, providing an additional layer of security against quantum attacks. By combining these elements, our method creates a blockchain system fortified against the potential vulnerabilities introduced by quantum computers. The proposed solution leverages the power of QHFs to safeguard transaction integrity, while the consensus mechanism ensures the reliability and decentralization of the network. This paper also delves into the theoretical underpinnings of quantum blockchains, exploring their design, feasibility, and potential applications, emphasizing their promising future, particularly in areas such as decentralized identity authentication. Finally, it contributes to the development of a secure and resilient blockchain ecosystem capable of thriving in the coming era. © 2025 IEEE.

关键词： Quantum computers

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Building Resilient CICD Pipelines: A DevOps Security-First Framework

Building Resilient CICD Pipelines: A DevOps Security-First F...

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2025 IEEE International Conference on Computational, Communication and information technology, ICCCIT 2025

作者： Ashtagi, Rashmi Belani, Chirag Bhalerao, Prasanna Bhalerao, Yash Chawle, Atharva Vishwakarma Institute of Technology Dept. of Computer Engineering Pune India

ISBN: (纸本)9798331512965

Continuous Integration and Continuous Deployment are now integrated in automated systems that enhance code stability, and accelerate the deployment process as well as improving monitoring of the whole system in the software development field. This document deals with setting up of a strong CI/CD process involving AWS cloud services and DevOps. The infrastructure is built with the help of Terraform which ensures the scalability and repeatability applying the Infrastructure as Code (IaC) approach. A safe Virtual Private Cloud (VPC) is designed consisting of public and private subnets, load balancing for traffic distribution, and CloudFront CDN to improve geographical distribution. Jenkins is used in CI process to perform disk analysis, OWASP and Trivy vulnerability scanning, and making Docker images. The CD phase use ArgoCD for updates on Kubernetes and integrates Monitoring and observability using Prometheus and Grafana. Notifications are produced to JIRA and email communication for improvement. With the help of the offered cloud services and DevOps tool it is possible to consolidate the SDLC and bring effects in code safety, testing and utilization. This document also provides an overview of methods, instruments, and outcomes, demonstrating how the CI/CD automation influences the development and operation positively. © 2025 IEEE.

关键词： Observability

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TurfIt: An Instant Turf Booking Application

TurfIt: An Instant Turf Booking Application

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2025 IEEE International Conference on Computational, Communication and information technology, ICCCIT 2025

作者： Rajeswari, A.M. Tamilselvan, V. Abishek, M.R.P. Dept. of Computer Science and Engineering Velammal College of Engineering and Technology Madurai India

ISBN: (纸本)9798331512965

As sports grow in popularity need for effective online turf booking applications has also increased. Although some existing applications are faced with numerous challenges such as;restrictions on access, ineffectiveness in scheduling, and over-bookings, leading to frustrations and operational problems. This paper focuses on those problems by the presentation of an online turf booking application to streamline the booking process. The solution offers real-time updates, automatic payment, and safe transactions based on QR code. The more user-friendly the application is, the more efficient it will be. Firebase would be used for real-time data synchronization and the responsiveness of React interface ensures the smooth and conflict-free bookings. This solution would lead to increasing customer satisfaction as well as increasing the booking rates and effective utilization of sports facilities. © 2025 IEEE.

关键词： Customer satisfaction

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Scraping Data from Google Maps: Comparisons and Experimentations 15th

Scraping Data from Google Maps: Comparisons and Experimentat...

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15th International Conference on Intelligent Computing and Networking, IC-ICN 2024

作者： Thakur, Shivam Jha, Rajan Dalawat, Monika Jha, Prashant Khandare, Anand Dept. of Computer Engineering Thakur College of Engineering and Technology Autonomus Mumbai India

ISBN: (纸本)9789819786305

Web scraping, an automated process that extracts data from websites, is a powerful tool that faces several challenges. Existing scrapers often entail drawbacks, such as subscription fees and limited accessibility for small businesses. Concerns regarding the reliability and accuracy of data arise, especially with respect to real-time content. This study scrutinizes web scraping tools, delving into operational principles, advantages, and limitations, addressing applications in data mining, research, and social media marketing. Two scraping approaches, manual extraction, and automated methods, such as HTML parsing, were explored. Popular tools such as ParseHub, WebHarvy, and Octoparse have been discussed, but concerns about accessibility and accuracy persist. Libraries such as BeautifulSoup, Selenium, and Scrapy offer alternatives to those with programming skills. Although web scraping accelerates data collection, its limitations and potential drawbacks must be carefully considered. This paper focuses on web scraping, a potent tool for extracting data from websites. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Data accuracy

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