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检索条件"任意字段=International Conference on Computer Technologies in Physical and Engineering Applications"

共 41538 条记录，以下是211-220 订阅

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Optimal Frame Extraction for Event Detection in Surveillance Videos 16

Optimal Frame Extraction for Event Detection in Surveillance...

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16th international conference on ENTERprise Information Systems, CENTERIS 2024 - 12th international conference on Project MANagement, ProjMAN 2024 - 14th international conference on Health and Social Care Information Systems and technologies, HCist 2024

作者： Ranganath, Venkataraman Padmavathi, S. Aarthi, R. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Coimbatore641112 India

This paper addresses the efficient identification of candidate keyframes in long and untrimmed surveillance videos. Existing fixed-length segmentation methods for violence detection suffer from computational inefficiency and fragmented short-Term event repre-sentation. To overcome these limitations, we propose an Optimal Keyframe Extraction framework utilizing shot boundary detection to segment videos based on significant visual changes. Candidate Keyframe segments are extracted from the shots, focusing on potential anomalous segments. Keyframes are selected based on the highest motion changes, accurately representing short term dynamic events. This dynamic approach aims to minimize the processing time of long and untrimmed surveillance videos by reducing the number of segments required for analysis of the event. Results show that the complexity of analyzing the event ef-fectively can be done by extracting an optimal set of keyframes within 2-3% of total number frames for each video. This research improves violence detection by efficiently analyzing large video datasets and accurately identifying short-Term dynamic events, thereby enhancing public safety and security applications. © 2025 The Author(s).

关键词： Deep learning

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Enhancing the Performance of Eye Tracking and Pupil Detection by Combining Variational Autoencoders with U-Net Architecture 3

Enhancing the Performance of Eye Tracking and Pupil Detectio...

引用

3rd international conference on Electronics and Renewable Systems, ICEARS 2025

作者： Gokulavani, D. Mohana, J. Simats Saveetha School of Engineering Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798331509675

This study demonstrates that U-Net Architecture was integrated with Variational Autoencoders (VAEs) for the segmentation of human eye pupils. U-Net can be used for accurate segmentation once the VAE captures the key characteristics and fluctuations of the input. In several fields, such as eye tracking, medical diagnostics, and human-computer interface, pupil detection is essential. Standard detection techniques can occasionally be imprecise because of the variations in the surrounding environment and the distinct features of the eyes. Using U-net methods and Variational Autoencoders, this work proposes an improved way to enable real-time processing and significantly improve the accuracy of pupil identification. Use VAE techniques to create a U-Net Architecture model that is more resistant to occlusions and changes in lighting in order to further increase detection accuracy. Extensive tests on several datasets demonstrate a notable improvement in speed and accuracy when compared to other techniques. According to our research, the suggested model is especially well-suited for ophthalmology and healthcare applications since it can operate in real-time and achieved an accuracy of 97.83 compared to the Ellipse fitting algorithm. Along with laying the groundwork for next developments in pupil detection technologies, this study also advances the domains of artificial intelligence and human-computer interaction. © 2025 IEEE.

关键词： Ophthalmology

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Survey of technologies Toward Goal-Line Decision-Making 3rd

Survey of Technologies Toward Goal-Line Decision-Making

引用

3rd international conference on Sports engineering, ICSE 2023

作者： Prasanth, V.V. Nallavan, G. Department of Sports Technology Tamil Nadu Physical Education and Sports University Chennai600127 India

ISBN: (纸本)9789819782963

Goal-line decisions are more important decisions that should be made by the team of officials to provide a decision about the outcome of the action or event that takes place during the attempt to score, which will reward their efforts fairly both the side. The technologies that are associated with decision-making are hawk eye, video assistant referee or instant review system or video replay system, electronic timing system, electronic scoring system, and photo finish which is using some of the key technologies like Smart Balls, RFID, Internet of Things, Artificial Intelligence and computer Vision, Wearable Technology, and other sensors included in this solutions based on the need for various games and still growing. This work is carried out to look into the technologies involved in various games in this modern times. In this work, we are going to concentrate on all the games that are using goal-line decision-making technologies listed above. The qualitative research of various findings is analyzed, and the technological importance and roles are identified. We will also have a clear picture of how the game is becoming fairer with the help of various technologies and providing good and accurate decisions to the players around the world. The real effort of the players will be appreciated with the accurate data that is generated using the available technologies by the referee and organizers to the teams and fans. Nowadays, we have lot of technologies that can add value to the existing system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Wearable computers

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Research on Hierarchical Sharing Method of Athletes’ physical Health Data Under the Background of Mobile Medicine 4th

Research on Hierarchical Sharing Method of Athletes’ Physic...

引用

4th international conference on IoT and Big Data technologies for Health Care, IotCare 2023

作者： Liu, Nan Zhang, Yaping Sanmenxia Polytechnic Sanmenxia472000 China Guangdong University of Science and Technology Dongguan523000 China

ISBN: (纸本)9783031900839

In order to improve the application value of athletes’ physical health data in medical care, the hierarchical sharing method of athletes’ physical health data is optimized and designed under the background of mobile medicine. Collect athletes’ physical health data under mobile medicine, and divide athletes’ physical health data levels. Set iSCSI protocol protocol as the hierarchical sharing protocol of health data, establish sharing connection from both physical and logical aspects, and achieve hierarchical sharing of athletes’ physical health data through identity authentication, data encryption, data transmission and other steps. Through the performance test experiment, it is concluded that compared with the traditional sharing method, the packet loss rate and error rate of the optimal design method are reduced by 3.23% and 1.41% respectively, and the sharing area is expanded. After the application of the optimal design sharing method, the retrieval speed of the physical health data is significantly improved, that is, the optimal design method has obvious advantages in sharing security, scope and application performance. © ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering 2025.

关键词： Biomedical engineering

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Detection and Prevention Various Network Attacks Using Soft Computing Approaches: An Overview 1

Detection and Prevention Various Network Attacks Using Soft ...

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1st international conference on AIML-applications for engineering and Technology, ICAET 2025

作者： Deore, Mahendra Gosavi, Chhaya MKSSS's Cummins College of Engineering for women Department of Computer Engineering Pune India

ISBN: (纸本)9798350355611

The Internet of Things (IoT) has emerged as a powerful tool for remote environmental monitoring, attracting considerable interest from the research community. Through IoT-enabled wireless technologies, various applications such as Intelligent Transport Systems (ITS), healthcare, home automation, and precision agriculture have benefited from enhanced monitoring capabilities. The functionality of IoT applications is centred around sensor nodes, which are deployed in the field to collect data and transmit it to a base station (BS) for processing. However, IoT networks that utilize Wireless Sensor Networks (WSN) face significant challenges. Two major issues are energy efficiency, which affects the longevity and performance of the network, and security vulnerabilities, which expose the system to a variety of threats such as sinkhole attacks, black hole attacks, and Denial of Service (DoS) attacks. These security concerns can severely disrupt communication and compromise the integrity of the data being transmitted. This survey paper focuses on examining recent security strategies designed to mitigate such threats in IoT networks. A systematic review was conducted to explore lightweight security solutions, with particular attention to trust-based and probe route-based mechanisms. These mechanisms offer promising approaches to safeguarding IoT networks while maintaining efficiency. The paper also presents a comparative analysis of these methods, evaluating them based on security techniques, types of attacks they address, and key performance metrics such as energy consumption and response times. The findings of this paper serve as a critical evaluation of the existing research, highlighting the strengths and limitations of the security measures reviewed. Through this comparative analysis, the study provides valuable insights into the effectiveness of various security approaches in protecting IoT-enabled networks from evolving cyber threats. © 2025 IEEE.

关键词： Probes

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5G to 6G Shaping and Effect of the Wireless Data Transmission 1

5G to 6G Shaping and Effect of the Wireless Data Transmissio...

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1st international conference on Advances in computer Science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Walia, Anita Das, Neeraj Department of CETT Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798331518578

Digital advancement and smart production have been made possible via artificial intelligence (AI) and computing in the cloud (CC) because of the fifth-generation wireless network (5G), which is a key enabler of the fourth industrial revolution. Nevertheless, beyond 5G (B5G) is seen as a watershed moment that will radically alter current worldwide tendencies in mobile phone practices and impact the lives of many. physical and digital worlds will eventually merge, according to B5G. The focus of this research is on the future of technology for wireless communications, specifically the evolution from 5G into 6G. Still, mankind hasn't arrived to the age of instantaneous contact with aliens, lightning-fast internet, plus zero latency, despite a number of advancements. In order to accomplish these more elevated goals, this article investigates the potential obstacles and hurdles that the shift from 5G to 6G may encounter. The article lays out the plan for 6G, the enabling infrastructures, the problems, and the research that will lead to the realization of the 'technology for humanity' goal and improved assistance for the poor. © 2025 IEEE.

关键词： 5G mobile communication systems

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Design and Implementation of a User Centered Design Framework for Software Development 1

Design and Implementation of a User Centered Design Framewor...

引用

1st international conference on Advances in computer Science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Chilluri, Venkata Suresh Babu Oli, Sanjay Sharma, Chandani Kumar, Ankit Intuit Inc. Mountain ViewCA94043 United States Dayananda Sagar College of Engineering Department of Mathematics Bangalore560078 India CSE Department Haryana Ambala Mullana India Chandigarh University Department of Computer Science and Engineering Mohali140413 India

ISBN: (纸本)9798331518578

The concept and methodology known as Usercentred Design (UCD) puts the user at the center and concentrates on cognitive aspects as they relate to how people interact with objects. In order to overcome biassed decisionmaking, automated AI-based decision support systems need to be able to be used, trusted, and accepted. Design criteria for AI-based decision support systems in traditional craftsmanship are therefore required. In this contribution, we examined the relationships between user acceptance and a user-centred design by evaluating three distinct applications in a mixedmethod user research (ND=20) that included both qualitative (think aloud) and quantitative (survey) components. Starting with research-related planning agreements, the context is established by interviewing the parties who agreed in the first stage, the needs are ascertained through user assessments, the System Usability Scale (SUS) method is used to determine the results, a prototype is designed based on the findings of the third step, and UI evaluation is conducted using the same method when evaluating the UI AI running in the third stage to demonstrate whether or not there has been a significant improvement. It took into account technological adoption, usability, and planning objectivity and efficiency. The findings imply that while AI-based decision support systems improve speed and objectivity, usability, acceptance, and confidence depend on user-centred design. Given that automated options were not as often questioned, it makes sense to give the decision maker the last say. It produces practical recommendations for the development of AI-based manufacturing support systems. © 2025 IEEE.

关键词： User centered design

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Enhancing AR/VR Experiences with a Pinch-Gesture Multi-Layer Virtual Keyboard System

Enhancing AR/VR Experiences with a Pinch-Gesture Multi-Layer...

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2025 international conference on Electronics, Information, and Communication, ICEIC 2025

作者： Kim, Donggyu Munasinghe, Viduranga Lee, Tae-Ho Jin, Hyun-Jun Kim, Tae Sung Kim, Jin-Sung Lee, Hyuk-Jae Seoul National University Department of Electrical and Computer Engineering Korea Republic of Kangwon National University Department of Electronic Engineering Korea Republic of Sun Moon University Department of Electronic Engineering Korea Republic of

ISBN: (纸本)9798331510756

Advancements in augmented reality (AR) and virtual reality (VR) technologies suggest that AR/VR devices will soon become widely accessible. Despite this growth, there remains a lack of specialized virtual keyboard systems optimized for AR/VR interactions. To address this, we propose a multi-layer virtual keyboard system utilizing pinch-based gesture recognition, specifically designed for AR/VR applications. Our simulation model demonstrates that the proposed system achieves significantly faster typing speeds due to its layered structure and gesture-based interface, resulting in substantial gains in user input efficiency and experience compared to traditional keyboard solutions. © 2025 IEEE.

关键词： Virtual environments

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Big Data Analytics for Healthcare Resource Allocation

Big Data Analytics for Healthcare Resource Allocation

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2025 international conference on Pervasive Computational technologies, ICPCT 2025

作者： Sharma, Brijesh Kumar Jayant, Khel Prakash Pujari, Purvi Vikram, Devendra Saraswat, Manish Kathuria, Kajol Srm Institute of Science and Technology Department of Computer Applications UP Modinagar India Raj Kumar Goel Institute of Technology Computer Science & Engieering UP Ghaziabad India Dy Patil University Vijay Patil School of Management Department of Management Navi Mumbai India Abes Institute of Technology Computer Science & Engieering UP Ghaziabad India Lloyd Institute of Engineering & Technology Department of Mechanical Engineering UP Greater Noida India Gla University UP Mathura India Dronacharya Group of Institutions Dept Computer Science and Information Technology UP Greater Noida India

ISBN: (纸本)9798331508685

Big Data Analytics for Healthcare Resource Allocation is the new mantra as it integrates vast amounts of complementary data to allocate healthcare resources efficiently. There is an increasing demand for healthcare services, and resources are in limited supply, so doing something as simple as allocating resources can ensure that care quality remains high. The process includes gathering and organizing large datasets from several resources, including electronic health records, patient demographics, service utilization and detailed analysis to generate meaningful findings. Utilizing advanced statistical and analytical techniques, by definition, amongst others, Big Data Analytics can help you decipher the data to show you patterns in resource utilization (how resources are being used), areas where inefficiencies occur which have gone unnoticed long enough that cause them become ripe for incremental year over year cost savings targets or staff reactions if not corrected as then gain media attention likely) some even assembled through different techniques to predict future needs based on past use cases. The advantages of this are manifold. It will help identify high-risk patients, enhance clinical decision-making, and facilitate evidence-based resource allocation. It can also help quantify how well-existing resource distribution strategies work and influence resource planning. Big Data Analytics for Healthcare Resource Allocation: Better Outcome, Cutting Cost and Effective Utilization of Resources This have the potential to revolutionize healthcare resource allocation and improve national healthcare systems' efficiency and effectiveness. © 2025 IEEE.

关键词： Electronic health record

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A Scrutiny of AES-Based Image Encryption and Decryption for Fraudulent Data Security and Defense Against Intrusion Attacks 12th

A Scrutiny of AES-Based Image Encryption and Decryption for ...

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12th international conference on Frontiers of Intelligent Computing: Theory and applications, FICTA 2024

作者： Nayak, Himanshu Pravalika, G. Maheswari, K. Pavan, G. Tulasi, P. Pavani, M. CMR Engineering College Telangana Hyderabad India Department of Electronics and Communication Engineering CMR Engineering College Telangana Hyderabad India Department of Computer Science and Engineering CMR Technical Campus Telangana Hyderabad India CMR Technical Campus Telangana Hyderabad India Department of Computer Science and Engineering CMR College of Engineering and Technology Telangana Hyderabad India CMR College of Engineering and Technology Telangana Hyderabad India

ISBN: (纸本)9789819601387

Image data are becoming the most common type of information sent over networks, thanks to advancements in information technology. The advancement of picture encryption technology is occurring concurrently with the growth of photographic data theft technologies. In order to stay up with the growing array of methods used for information theft, we must investigate more robust image encryption strategies. Information can now be transmitted quickly and reliably because of advancements in communication technology, which has increased its application across a range of industries, including business, science, the military, and the civilian sector. In computer science, cryptography is the process of transforming readable data, such as plain text, into an encrypted form which can only be decoded by another party with the decryption key. It strengthens security and aids in safeguarding private and sensitive data. Encryption and decryption safeguard data against loss, alteration, or compromise. Numerous technologies, including RSA, BLOW FISH, DES, TRIPLE DES, genetic algorithms, and chaotic maps, have been created. For generations, the security of data has also grown in importance. This solution suggested employing AES (Advanced Encryption Standard) technology for image encryption and decryption in order to address these issues. This technique guarantees secrecy, integrity, and authentication. These methods aid in preventing intrusion attempts. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Network intrusion

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