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检索条件"机构=Computer Science and Computer Engineering"

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Future Blink Prediction in Virtual Reality Using Time-Series Eye Movement Data 12

Future Blink Prediction in Virtual Reality Using Time-Series...

引用

12th International Conference on Advanced Cloud and Big Data, CBD 2024

作者： Zhang, Wenjie Ding, Ding Zhang, Jinghui Xiong, Runqun Jin, Jiahui Dong, Fang Xu, Xiangyu Dong, Kai School of Computer Science and Engineering Southeast University Nanjing China

ISBN: (纸本)9798331511074

Cybersickness induced by virtual reality (VR) ap-plications remains one of the main obstacles to its development. Despite extensive research on reducing cybersickness, there is a lack of non-invasive methods to predict the severity of users' cybersickness in advance. Considering the advancements in eye-tracking technology within VR head-mounted displays and previous studies on the correlation between blinking behavior and cybersickness, this study aims to propose a method for predicting users' future blinking behavior, thereby providing a foundation for subsequent non-invasive cybersickness prediction by leveraging the correlation between blinking and cybersickness. Based on the encoder-decoder architecture, this study compre-hensively considers various ocular movement features of users during a VR experience and develops a blink prediction model using a dataset that records eye movement information from 23 participants during a virtual driving experience. The results show that the model can effectively predict the number of blinks within a future one-second interval. Furthermore, since the number of blinks at the same level of cybersickness can vary rather than remain fixed, the model also predicts the range of blink counts over the next 10 seconds, which can provide a basis for future work on predicting cybersickness. © 2024 IEEE.

关键词： Virtual environments

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Self-Driving Car Using Neural Networks 11th

Self-Driving Car Using Neural Networks

引用

11th International Conference on Intelligent Computing and Applications, ICRTC 2023

作者： Kumawat, Pushpak Pandey, Nidhi Sharma, Oshin Department of Computer Science and Engineering SRM IST Trichy India

ISBN: (纸本)9789819717231

Without much assistance from a person, a driverless automobile can sense its surroundings and navigate challenges like traffic. Although it took years of discussion and development, many industries have delivered the most recent new technology in the automotive industry. These vehicles have just started appearing as private and public transportation (taxis, etc.) in global markets. With this product development, numerous businesses are involved. With this type of vehicle, all motor transportation is more efficient, secure, and safe, and human mistakes may be avoided while driving is done at its best. The idea of over-taking obstacles or moving vehicle response and lane detection using canny edges, given things are missing from the present models, has been implemented into this project, making it possible to achieve the aforementioned benefits more readily and inexpensively. This type of gadget can revolutionise transportation for people with disabilities and enable blind people or everyone to move about independently. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Autonomous vehicles

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Navigation Assistive System as a Novel Framework for Visually Challenged Peoples Using YOLOv11 and Simultaneous Localization and Mapping Architectures 2

Navigation Assistive System as a Novel Framework for Visuall...

引用

2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Gobika, B. Megha, S. Sivasakthi, V. Tharageswari, K. Karpagam Academy of Higher Education Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798331505745

Navigation is a complex task for visually challenged peoples to navigate independently and safely in the unknown environments. In recent years, many researchers have been conducted to assist and guide visually challenged peoples with intelligent navigation system using computer vision approaches through object detection and recognition process as assistive technologies. However, those approaches fail to localize the unknown moving objects effectively. In this paper, a new framework is developed on encompassing object detection and geometric constraint methods through associating Yolov11 architectures and Simultaneous localization and mapping architectures. Initially, acquired video or image from camera or coco dataset is employed to Yolov11 architecture as it is termed an object detection network which simultaneously performs the bounding box regression and object classification task. Bounding box method is to extract the dynamic features of the object with C3k2 block and Fast Spatial pyramid pooling (SPPF) block. Classification task is to accelerate and generates the essential semantic information to the SLAM architecture with Cross Stage Partial Spatial Attention (CSPSA) Block to enable attention mechanism to consider more significant regions in the image. SLAM architectures are a geometric constraint method which is capable of mapping the object semantic changes effectively. Semantic Information of the object is considered on basis of its position, location and velocity. Further data fusion is carried out. Finally proposed model is exposed to blind people with sound using speaker to provide the directional advice with best path to reach destination from current location and prompts with recognized spatial landmarks and obstacles. Experimental analysis is carried out on proposed framework to identify the performance on basis of the localization accuracy with 98.9% and improved stability in highly dynamic environments. © 2025 IEEE.

关键词： Image fusion

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DAPSys Software 6

DAPSys Software

引用

6th Parul International Conference on engineering and Technology, PICET 2024

作者： Thakkar, Vidhi Dangar, Rahul Singh, Manjot Patel, Nidhi Department of Computer Science and Engineering Parul University Vadodara India

ISBN: (纸本)9798350369748

DAPSys software is a system software that will perform detection, analysis, and protection by providing features like graphical password authentication, VPN detection, traffic analysis by packetsniffing, RFID blocking, and firewall to the organizations. The proposed project is a system software that provides a comprehensive set of security features for enhanced protection against unauthorized access and malicious attacks. The software includes a graphicalpassword authentication system that utilizes images to generate strong and memorable passwords. The traffic analysis feature monitors network traffic to identify potential security threats and provide insights fortroubleshooting. The VPN detection feature ensures thatall traffic passes through secure channels, while the RFID blocking feature protects against unauthorized access via radio frequency identification technology. Finally, the firewall feature provides an additional layer of protection by filtering out unwanted traffic and blocking potential threats. This offers comprehensive system software solutions, with its array of security features, DAPSys aims to enhance protection against unauthorized access and malicious attacks by together providing organizations with a robust and versatile safeguarding system. © 2024 IEEE.

关键词： Radio frequency identification (RFID)

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Enhancing Remote Productivity: A Comprehensive Web Desktop Solution

Enhancing Remote Productivity: A Comprehensive Web Desktop S...

引用

2024 International Conference on Advances in Computing Research on science engineering and Technology, ACROSET 2024

作者： Thakur, Ananya Arora, Gautam Dhoundiyal, Swayam Prakash Chauhan, Aryan Varshitha, Velma Sai Chandigarh University Department of Computer Science & Engineering Mohali India

ISBN: (纸本)9798350388800

In today's digital landscape, Web Real-Time Communication (WebRTC) stands as a cornerstone for integrating video calling functionalities into web applications. However, ensuring a seamless and high-quality video calling experience remains a challenge, particularly amid fluctuating network conditions and resource limitations. This paper delves into performance optimization techniques tailored for WebRTC-based video calling within web applications. We meticulously examine factors influencing video call quality, such as bandwidth utilization, latency management, and frame rate stability. Through extensive exploration, we unveil a spectrum of optimization strategies, encompassing adaptive bitrate streaming, congestion control algorithms, and hardware acceleration methodologies. Leveraging simulations or user studies, we rigorously assess the efficacy of these strategies, showcasing their tangible impact on elevating video call performance within web environments. Our findings not only shed light on the comparative analysis between proposed optimizations and existing methods but also offer actionable insights for developers keen on enhancing the user experience of WebRTC-based video calling in their web applications. © 2024 IEEE.

关键词： Video telephone equipment

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Thread Optimization in Cloud Environment Using Blockchain 2

Thread Optimization in Cloud Environment Using Blockchain

引用

2nd International Conference on Disruptive Technologies, ICDT 2024

作者： Kattna, Shakshi Kumar, Abhishek Ahuja, Sachin Chandigarh University Department of Computer Science and Engineering Gharuan India

ISBN: (纸本)9798350371055

Cloud computing has become a revolution of modern computer paradigms, offering adaptable resources to the utmost. But thread operations inside of cloud environments still fall under the critical challenge for efficient processing and resource utilization. Integration of blockchain technology would be a new, transformative opportunity for optimizing threads. Straddling the realms of blockchain and cloud infrastructure, this paper discusses optimizing threads and examines how distributing a program can lead to better computational efficiency using blockchain decentralized ledger system. In optimizing threads, the study is concerned with scalability of cloud environments, consensus overhead and interoperability. In addition, it introduces various new technologies for overcoming these problems-including parallel processing and enhancements of consensus protocols as well load balancing techniques. © 2024 IEEE.

关键词： Blockchain Cloud Environment Decentralization Efficiency Scalability Security Thread Optimization

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SpotKube: Cost-Optimal Microservices Deployment with Cluster Autoscaling and Spot Pricing 15

SpotKube: Cost-Optimal Microservices Deployment with Cluster...

引用

15th IEEE International Conference on Cloud Computing Technology and science, CloudCom 2024

作者： Edirisinghe, Dasith Rajapakse, Kavinda Abeysinghe, Pasindu Rathnayake, Sunimal University of Moratuwa Department of Computer Science & Engineering Sri Lanka

ISBN: (纸本)9798331507589

Microservices architecture, known for its agility and efficiency, is an ideal framework for cloud-based soft-ware development and deployment, particularly when inte-grated with containerization and orchestration systems that streamline resource management. However, the cost of cloud computing remains a critical concern for many organizations, prompting the need for effective strategies to minimize expenses without compromising performance. While cloud platforms like AWS offer transient pricing options, such as Spot Pricing, to reduce operational costs, the unpredictable demand and abrupt termination of spot VMs introduce considerable challenges. By leveraging containerization alongside intelligent orchestration, it is possible to optimize micro services deploy-ment costs while maintaining performance requirements. We present SpotKube, an open-source, Kubernetes-based so-lution that employs a genetic algorithm for cost optimization. Designed to dynamically scale clusters for micro service applications on public clouds using spot pricing, SpotKube analyzes application characteristics to recommend optimal resource al-locations, ensuring deployments remain cost -effective without sacrificing performance. Its elastic cluster autoscaler adapts to changing demands, gracefully managing node terminations to minimize disruptions in system availability. Evaluations conducted using real-world public cloud setups demonstrate SpotKube's superior performance and cost efficiency compared to alternative optimization strategies. GitHub: https://***/SvotKube/SvotKube © 2024 IEEE.

关键词： Cloud platforms

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Empowering Medical Image Analysis: Unveiling Anomalies Through GANs and BiGAN’s Models 7th

Empowering Medical Image Analysis: Unveiling Anomalies Throu...

引用

7th IFIP TC 12 International Conference on Computational Intelligence in Data science, ICCIDS 2024

作者： Sharma, Vatsal Kumar Jakhar, Aryan Vats, Aaroh Singh, Gurwinder Computer Science Engineering with AIML Chandigarh University Mohali India

ISBN: (纸本)9783031699818

In many researches, the field of medical image analysis has made noteworthy strides, thanks to the implementation of sophisticated machine learning methods. This project, titled "Enhancing Medical Image Analysis: Uncovering Abnormalities through Innovative Models", stands as a modern game powerup to utilize rapidly progressing computer algorithms known as Generative Adversarial Networks (GANs) and Bidirectional GANs (BiGANs) for the automated identification and categorization of anomalies within medical images. Medical image analysis plays a crucial role in diagnosing and treating a range of health conditions, in this case particularly of 2 types, Bacterial and Viral. However, the precision and accuracy of image analysis often depend upon the expertise and execution of radiologists, which can introduce the potential for human errors and result in time-consuming processes. To tackle these challenges, this project introduces a fresh approach that makes use of GANs and BiGANs to improve the identification and categorization of abnormalities in medical images, thereby providing valuable insights to healthcare professionals and ultimately enhancing patient diagnosis and treatment outcomes. © IFIP International Federation for Information Processing 2024.

关键词： Generative adversarial networks

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Person Re-identification and Tracking with Multiple Non-overlapping Cameras 4th

Person Re-identification and Tracking with Multiple Non-ov...

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4th International Conference on Innovations in Computational Intelligence and computer Vision, ICICV 2024

作者： Angadi, Akash Vijayakumar Koppal, Anurag N. Kanwal, Preet Department of Computer Science Engineering PES University Bengaluru India

ISBN: (纸本)9789819769919

In recent years, the demand for robust person re-identification and tracking systems has grown substantially, driven by the increasing deployment of surveillance networks with multiple non-overlapping cameras. Tracking individuals is a vital task in multi-camera surveillance environments, where challenges arise due to variations in poses and lighting conditions. The research dives into the methodologies employed, identifies unresolved challenges, and sheds light on promising future research directions. The study presents a comprehensive approach that leverages YOLOv7 for person detection, employs DeepSORT for initial tracking, and introduces an exact Root Mean Square Error (RMSE)-based re-identification algorithm. The proposed solution outperforms most current techniques, amplifying safety and delivering optimal multi-camera tracking solutions, effectively addressing real-world challenging conditions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Mean square error

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A Scalable and Fault-Tolerant 5G Core on Kubernetes 17

A Scalable and Fault-Tolerant 5G Core on Kubernetes

引用

17th International Conference on COMmunication Systems and NETworkS, COMSNETS 2025

作者： Paul, Sourav Keluskar, Tanvi Vutukuru, Mythili Indian Institute of Technology Department of Computer Science and Engineering Bombay India

ISBN: (纸本)9798331531195

The 5G core is an important part of a 5G network, and with the exponential growth of connected devices and dynamic traffic conditions, it is essential for the 5G core to be scalable and fault-tolerant. This requirement is even more important with the softwarization of the packet core and cloud-based deployments. This paper presents a comparison of design choices when building a scalable and fault-tolerant 5G core on a Kubernetes-orchestrated cloud platform. Prior work in this direction does not fully explore all design choices, or is not compliant with 3GPP standards. In contrast, we start with a 3GPP-compliant production-grade 5G core, and build multiple variants of cloud-native 5G core components. We leverage Kubernetes' automatic failover, and auto-scaling capabilities in different ways to make the 5G core scalable and fault-tolerant. We conduct extensive experiments to evaluate the scalability and resilience of various design choices, and to quantify the overheads of cloud deployments. Our work exposes tradeoffs between performance and fault tolerance, and provides insights on how best to design a scalable and fault-tolerant 5G core on Kubernetes. © 2025 IEEE.

关键词： Cloud platforms

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