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检索条件"任意字段=2023 International Conference on Computer Science and Automation Technology, CSAT 2023"

共 68642 条记录，以下是4711-4720 订阅

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Simulating Virtual Environment and Experience for Training, Exergaming, and Edutainment in eXtended Reality (XR): A Survey

Simulating Virtual Environment and Experience for Training, ...

引用

2023 international conference on computer Applications technology, CCAT 2023

作者： Li, Wanwan University of Tulsa Department of Computer Science TulsaOK United States

ISBN: (纸本)9798350301540

In recent years, eXtended Reality (XR) technologies, including Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), have emerged as transformative technologies in various domains and have revolutionized the fields of training, exergaming, and edutainment. These immersive XR technologies offer unique opportunities to simulate virtual environments and experiences that facilitate interactive learning and engaging physical activities. The simulation of virtual environments and experiences plays a crucial role in delivering high-quality and effective XR programs. This survey explores existing research and advancements in simulating virtual environments and experiences for training, exergaming, and edutainment in XR. This survey aims at providing an overview of the current state of research and development, discusses the challenges and opportunities in virtual environment and experience simulation, and highlights their future directions. By clarifying the advancements in virtual environment and experience simulation, this survey helps researchers discover the potential of XR in enhancing training, promoting physical activity, and revolutionizing education. © 2023 IEEE.

关键词： Augmented reality

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Improving Φ-OTDR Event Classification Performance with a Semi-Supervised Model 28

Improving Φ-OTDR Event Classification Performance with a Se...

引用

28th international conference on Optical Fiber Sensors, OFS 2023

作者： Li, Yujiao Yu, Kuanglu Institute of Information Science School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing Jiaotong University Beijing100044 China

We design a semi-supervised model based on XM-ACAB for Φ-OTDR event classification. The accuracy for six types of events can reach up to 91.0% with a total of only 12 labeled samples in the experiment. © Optica ... 详细信息

ISBN: (纸本)9781957171302

关键词： Deep learning Erbium fibers Machine learning Neural networks Optical time domain reflectometry Single mode fibers

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Autonomous Power Supply System for Human Movement in Wearable Devices 3

Autonomous Power Supply System for Human Movement in Wearabl...

引用

3rd international conference on Electrical Engineering and Control science, IC2ECS 2023

作者： Sun, Xiujuan Hu, Fanzhi Wang, Yafei Zhao, Rui Pan, Tianyi Wang, Chuanjiang College of Electrical Engineering and Automation Shandong University of Science and Technology Shandong Qingdao266590 China Information Center Shandong Lilou Coal Company Limited Shandong Heze274700 China College of Foreign Languages Shandong University of Science and Technology Shandong Qingdao266590 China

ISBN: (纸本)9798350382426

The wearable devices use piezoelectric power generation technology to collect the energy generated by human motion. Using the new piezoelectric material PVDF (polyvinylidene fluoride), the piezoelectric oscillator is prepared according to the structural characteristics of the piezoelectric film, and then the piezoelectric oscillator based on the PVDV film is fixed to the physical device to complete the production of the piezoelectric power generation module that collects human motion energy. By testing the power generation module, the output data can be obtained and used as the basis for the design of each sub-module, and the hardware circuit of the autonomous power supply system is designed accordingly. The AC/DC circuit and buck circuit in the hardware circuit are made to simulate Multisim respectively. The system is physically worn to the human body for practical testing. © 2023 IEEE.

关键词： human motion lithium-ion battery piezoelectric oscillator power generation technology wearable devices

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Observer-Based Sensorless Admittance Control from Demonstrations with Dynamical Systems for Robot-Environment Interaction

Observer-Based Sensorless Admittance Control from Demonstrat...

引用

2023 IEEE international conference on Unmanned Systems, ICUS 2023

作者： Guo, Yuting Peng, Guangzhu Li, Jiehao Yang, Chenguang School of Automation Nanjing University of Information Science and Technology Nanjing China School of Engineering South China Agricultural University Guangzhou China School of Automation Science and Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9798350316308

Compliant motion adaptation is essential in the task of robot interacting with the environment. This paper presents a motion planning framework that generates and tracks a trajectory to achieve the compliant behavior during interaction. First, motions from multiple demonstrations are modelled by a dynamical system (DS) with Gaussian Mixture Models (GMM), and parameters of DS model are learning online. In case of the contacting force from the environment, admittance control is employed to modify the trajectory to generate a compliant robot motion. The contacting force is estimated by the sensorless approach. Furthermore, in our framework, an adaptive controller is designed to ensure the tracking of the modelled DS motion, and Radial Basis Function neural networks (RBFNNs) are adopted to compensate nonlinear terms of the robot. The proposed framework is not only analyzed in Lyapunov theory, and also verified through simulations study. © 2023 IEEE.

关键词： Dynamical systems

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Vulnerability Analysis of Passwords Based on Real Data 6

Vulnerability Analysis of Passwords Based on Real Data

引用

6th international conference on Frontier Technologies of Information and computer, ICFTIC 2024

作者： Yu, Wei Ni, Lulin Shi, Yu Liu, Cheng Ji, Qingbing No.30 Institute of Cetc National key laboratory of security communication Sichuan Chengdu610041 China School of Computer Science and Engineering University of Electronic Science and Technology of China No.30 Institute of Cetc National Key Laboratory of Security Communication Sichuan Chengdu610041 China

ISBN: (纸本)9798331541750

A password represents the initial line of security for the majority of information systems, and plays a pivotal role in the protection of personal information and the security of digital assets. Based on a substantial corpus of password data, this paper employs a data-driven research methodology to analyse the length distribution, structure, and personal information embedded in user passwords, with the objective of elucidating users' susceptible password behaviours. Subsequently, it proffers a series of recommendations to enhance the robustness of passwords. © 2024 IEEE.

关键词： Authentication Protocol

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Access the Prospect of automation in Inventory Management of Construction Projects

Access the Prospect of Automation in Inventory Management of...

引用

international conference on Civil Engineering Innovative Development in Engineering Advances, ICC-IDEA 2023

作者： Pavan Kumar, B. Arokiaprakash, A. Department of Civil Engineering Faculty of Engineering and Technology SRM Institute of Science and Technology Tamil Nadu Kattankulathur 603203 India

ISBN: (纸本)9789819962327

In construction industry, materials play the major role more than half of the project money is spent on the materials and managing the materials is very much needed for faster completion of project. The use of the automation techniques is still backing in the India when compared to the other countries. By proper implementing the automation in the inventory management of a construction, more time and money can be saved. In the implementation process what are the barriers and obstacles caused in the automation is discussed and also how the automation can be used in the inventory management is also discussed. Not only that and also how well the automation is being used in the present time of the construction industry also discussed. The ways to overcome the obstacles and the barriers are given. How the integrating of the technology can save the time and money is discussed in this paper. Also, how the ABC analysis technique is going to play the key role in the proper management of the inventory is given with its importance. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Construction industry

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Workspace Modeling and Trajectory Mapping for Robotic Execution using Artificial Neural Networks 2

Workspace Modeling and Trajectory Mapping for Robotic Execut...

引用

2nd international conference on automation, Computing and Renewable Systems, ICACRS 2023

作者： Jha, Abhishek Poorani Ayswariya, P.S. Bhattacharjee, Neelanjan Department of Mechanical Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Chennai India Department of Computer Science and Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Chennai India Department of Mechanical Engineering University of Alberta Edmonton Canada

ISBN: (纸本)9798350340235

Demonstrating a task at trajectory level is one of the key concepts in robot programming by demonstration approaches. The suitability of the demonstrated trajectory for robot execution is a challenging problem to answer in such approaches. In this work, a simplified framework is presented to judge the suitability of an externally defined trajectory for robot execution. The approach is based on learning of the workspace model of the robot and then retrieving an analogous trajectory for robot execution corresponding to externally mapped trajectory. An Artificial Neural Network architecture is used to learn the workspace model of the robot and extract an analogous trajectory. The approach is demonstrated for a six degrees of freedom robot. Simulation results reveal that the approach provides an effective way to evaluate an externally demonstrated trajectory. © 2023 IEEE.

关键词： Artificial Neural Network Kinematics Programming by demonstration Robot Workspace Trajectory Mapping

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Integration of PLC and Robotic Operating System for Enhanced automation Efficiency' 2

Integration of PLC and Robotic Operating System for Enhanced...

引用

2nd IEEE international conference on Futuristic Technologies, INCOFT 2023

作者： Saxena, Aditi Ali, Aqeel Abdulsada, Zainab. R. School of Technology Department of Mechatronics Woxsen University Komkole Hyderabad502345 India Medical Technical College Al-Farahidi University Iraq National University of Science and Technology Dhi Qar Iraq

ISBN: (纸本)9798350308846

The mix of Robotic Operating System (ROS) and Programmable Logic Controllers (PLCs) has showed promise in improving automation effectiveness in a range of industrial uses. In order to achieve seamless coordination and increased performance in automated systems, this study examines the probable benefits of combining PLCs with ROS. PLCs have long been utilised in industrial settings for control and tracking jobs because they are robust and dependable. However, ROS, which was originally created for robotics, offers an extensible framework for robot control, sensing, and communication. The characteristics of both systems may be exploited to produce a synergistic effect that enhances automation capabilities and ROS integration supports data and order transfer between the two systems, allowing effective coordination and synchronisation of industrial activities. Advanced sensing and control methods in ROS may be applied by PLCs, and ROS may profit from the dependability and real-time capabilities of PLCs. This integration makes it possible for robots, sensors, and other automation components to interact easily, which improves system performance and flexibility. The mix of Robotic Operating System (ROS) and Programmable Logic Controllers (PLCs) has showed promise in improving automation effectiveness in a range of industrial uses. In order to achieve seamless coordination and increased performance in automated systems, this study examines the probable benefits of combining PLCs with ROS. PLCs have long been utilised in industrial settings for control and tracking jobs because they are robust and dependable.. © 2023 IEEE.

关键词： adaptive control complex automation system control capabilities PLC ROS

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Brain Tumor Detection using CNN

Brain Tumor Detection using CNN

引用

2023 international conference on System, Computation, automation and Networking, ICSCAN 2023

作者： Brindha, R. Poornima P, U. Pongiannan R, K. Franklin, J. Subramanian, Malavika Angayarkanni, V. Srm Institute of Science and Technology Department of Computing Technologies Kattankulathur India Srm Institute of Science and Technology Department of Electrical and Electronics Engineering Kattankulathur India

ISBN: (纸本)9798350315127

The second most common cause of cancer today is a tumour. To detect tumours like brain tumour, the medical field needs a quick, automated, effective, and reliable technique. A crucial part of treatment is detection. Doctors keep a patient out of danger if accurate tumour detection is possible. This application makes use of several image processing methods. Using this application, doctors are able to properly treat a large number of tumour patients and save their lives. Simply put, a tumour is an accumulation of uncontrolledly expanding cells. The development of brain tumour cells causes brain failure because they eventually eat up all the nutrients meant for healthy cells and tissues. To determine the location and size of the patient's brain tumour, doctors manually review the patient's MR images of the brain. This is time-consuming and results in inaccurate tumour detection. A tumour is an uncontrollably expanding mass of tissue. A Deep Learning architecture that combines CNN (Convolution Neural Network), also referred to as NN (Neural Network), and VGG can be used to identify brain tumours. Transfer learning. Its main strength is the model's ability to predict whether a tumor is present in an image. Returning is yes if the cancer is present and no if it is not. © 2023 IEEE.

关键词： Tumors

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Increase The SQLi Attack Success Rate using SqlMap with the use of Tamper Selection Scripts 1

Increase The SQLi Attack Success Rate using SqlMap with the ...

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1st international conference on technology, Engineering, and Computing Applications, ICTECA 2023

作者： Sodik, Seff Mantoro, Teddy Ayu, Media Anugerah Asian, Jelita Nusa Putra University School of Computer Science Sukabumi Indonesia Sampoerna University Department of Computer Science Jakarta Indonesia

ISBN: (纸本)9798350360554

SQLi attacks rank 3 in OWASP and MITRE and still become a vulnerability and weakness in many software. SQLi attack is a technique that is relatively common and widely used toward online services in penetration testing areas. Unfortunately, as a penetration tester, performing SQLi attacks using SqlMap is not always delivered successfully. Therefore, this paper presents a model for performing SQLi attacks effectively using SqlMap. This study aims to provide acceptable knowledge about SQLi attacks, especially the use of tamper scripts in SqlMap. Proper selection of tamper scripts when using SqlMap can result in higher success and time-effective penetration testing. © 2023 IEEE.

关键词： Injection SQLi Attack SqlMap Tamper Script Vulnerability

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