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Password Authentication for Older People: problems, Behaviours and Strategies 11

Password Authentication for Older People: Problems, Behaviou...

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11th international conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2025

作者： Merdenyan, Burak Petrie, Helen Department of Computer Science University of York Heslington East York United Kingdom

ISBN: (纸本)9789897587436

Many aspects of life are now conducted online, and many services requiring a secure account, usually password protected. Creating and tracking many online accounts and passwords is difficult for everyone. For older people it may be particularly problematic but vitally important as online accounts now give access to many healthcare, financial and support services. This study used an online questionnaire to investigate the behaviours, problems, and strategies in relation creating and using password-protected online accounts with a sample of 75 older UK participants (aged 65 to 89) and compare them with a similar sample of young UK participants (aged 18 to 30). The results were surprising, with unexpected differences between the groups, but many similarities. For example, older participants had no difficulties creating passwords of the right length, whereas young participants had difficulties in that task. Older participants had many more complex strategies for creating and remembering passwords, while young participants relied more on re-using old passwords with small changes which then probably caused difficulties remembering them. These results suggest we need to rethink the approach to better supporting older people in password creation and use, taking a more universal design approach, supporting all users with a range of options. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Engineering education

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2nd international conference on Mechanical Automation and Engineering Materials, MAEM 2023

2nd International Conference on Mechanical Automation and En...

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2nd international conference on Mechanical Automation and Engineering Materials, MAEM 2023

The proceedings contain 16 papers. The topics discussed include: development and application of the 2×350kn dual parallel excitation horizontal vibration test system;device fault diagnosis method based on digital twin server;development of methane leakage telemetry system based on tunable diode laser absorption spectroscopy;solution of hydrodynamic problems by complex modeling methods;equipment layout modeling method for forging lines based on equipment profile layering method;research on movement law of the deployment process for submerged mooring system;3D ice-based fixturing system for thin-walled parts machining;finite-time control based on RBF neural network for quadrotor UAVs with varied mass load;characterization of impact resistance of composite reinforced by hybridized carbon-flax fibers in polyfurfuryl alcohol resin;determination of the ignorable boundary condition and standard sample for a novel in-situ dynamic mechanical analysis method on soft matter;and research on dynamic response and deformation evolution of a rectangular recycled aggregate concrete-filled steel tubular column under small-equivalent loads and weak disturbances.

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Deep Reinforcement Learning Based control of Rotation Floating Space Robots for Proximity Operations in PyBullet

Deep Reinforcement Learning Based Control of Rotation Floati...

引用

2023 IEEE international conference on systems, Man, and Cybernetics, SMC 2023

作者： Srivastava, Raunak Lima, Rolif Sah, Roshan Das, Kaushik Tcs Research Tata Consultancy Service Bangalore India

ISBN: (纸本)9798350337020

This paper presents a model-free learning-based controller for whole-body control of an orbiting space robot during proximity operations. Proximity control methods for space robots (robotic manipulators mounted on a floating satellite base) enable the robotic arm to reach up to the target body in order to perform autonomous tasks like in-orbit servicing, debris capture, etc. However, coupled motion control of such robots is tricky due to the floating nature of the satellite base. Although conventional controllers have been employed for coupled control of such nonlinear systems, their modeling and sophisticated control become all the more difficult with the increasing degree of freedom of the robot. Model-free Deep Reinforcement Learning (RL) has been successful in learning complex policies in the field of robotic manipulation. However, most of the research in this domain has been focused only on the control of the space robotic arm, and not the satellite base, with a majority of them focusing only on the arm position control. A coupled controller which also simultaneously controls the satellite base orientation is essential for the proper functioning of onboard sensors and equipment which have pointing requirements. This paper uses Proximal Policy Optimization (PPO) algorithm to control the position (3 DOF) and orientation (3 DOF) of the end-effector while also controlling the orientation of the base satellite (3 DOF). To the best knowledge of the authors, a model-free Deep RL method has not yet been used for simultaneous 9 DOF control of a floating space robot so far. We also improvise over the standard reward functions that are used in Deep RL algorithms for improved performance of the learning algorithm. The training of the policy is performed using a PyBullet physics simulator and the comparison of the performance of the learning algorithm against the standard reward functions is presented. © 2023 IEEE.

关键词： Deep Reinforcement Learning Proximal Policy Optimization Proximity In-Orbit operations Robotic manipulation Space robots

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Application of 3D Gaussian Splatting target Reconstruction in short-range detection 4

Application of 3D Gaussian Splatting target Reconstruction i...

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4th international conference on Defence Technology, ICDT 2024

作者： Lou, Wenzhong Li, Chenglong Feng, Hengzhen Ding, Nanxi Zhang, Zihao Ma, Wenlong Wang, Lin Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology Beijing China

The research presented in this paper successfully introduces the emerging 3D reconstruction technology to specific application scenarios, especially for the strict requirements of information authenticity and timeliness for reconnaissance equipment and platforms. Traditional methods have the problems of slow speed and damaged reconstruction quality in processing reconnaissance information. In order to solve the problem of limited computing power of aerial detection platform and improve the reconstruction quality and efficiency of complex scenes, this paper introduces three-dimensional Gaussian Splatting (3DGS) method for testing. Experimental results show that 3DGS has excellent performance in rendering accuracy and real-time performance, which can effectively meet the performance requirements of aerial detection platforms. We tested it on a virtual dataset, and the experimental results show that it can also maintain excellent performance in the real world. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： 3D modeling

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Intuitive HRI Approach with Reliable and Resilient Wireless Communication for Rescue Robots and First Responders 31

Intuitive HRI Approach with Reliable and Resilient Wireless ...

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31st IEEE international conference on Robot and Human Interactive Communication (RO-MAN) - Social, Asocial, and Antisocial Robots

作者： Edlinger, Raimund Anschober, Michael Froschauer, Roman Nuechter, Andreas Univ Appl Sci Upper Austria A-4600 Wels Austria Julius Maximilians Univ Wurzburg Informat Robot & Telemat 7 Wurzburg Germany

ISBN: (纸本)9781728188591

In this paper, we present a user-selectable control unit to make complex robot systems easier to operate. Search and rescue robots are primarily used for obtaining information and manipulating dangerous objects or supporting emergency forces in dealing with crisis situations. Based on hazardous mission scenarios in which mobile robot systems are confronted with complex manipulation and manoeuvring tasks (e.g., leakage of contaminants), new methods and concepts in the area of robot decision making, sensor data presentation and control concepts were developed to facilitate the handling and operation of assistance robots. The flexibility of the control concept approach is intended to increase the confidence of the emergency services and to provide intuitive operation of the assistance robots for every user. An intuitive control and stable communication for both control commands and feedback from the robot itself increase trust in the robotic system and its acceptance by the operators. These developments have been investigated in field trials with different types of robots and with network communication constraints.

关键词： Wireless communication Decision making Robot sensing systems Search problems Emergency services Reliability Mobile robots

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Intelligent Signal Optimization Algorithm Based on Artificial Intelligence in Intelligent Traffic control systems 11th

Intelligent Signal Optimization Algorithm Based on Artificia...

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11th international conference on Applications and Techniques in Cyber Intelligence, ATCI 2023

作者： Zheng, Yu School of Rail Transit Chongqing Vocational College of Transportation Chongqing402247 China

The acceleration of urbanization and the widespread use of motor vehicles in daily life have made the problem of traffic congestion in cities increasingly serious. Therefore, the importance of intelligent traffic control systems in traffic control and other aspects is becoming increasingly prominent. The intelligent traffic control system optimizes signal control strategies to promote the rational allocation of road resources and improve the efficiency of vehicle traffic operation on the road. This article studies three typical artificial intelligence based intelligent signal optimization algorithms, including neural network models, genetic algorithm models, and hybrid optimization algorithm models. The performance and effectiveness of these algorithms were evaluated through comparison and parameter analysis. The experimental data comes from actual traffic sensors and cameras collecting traffic data. The experimental results show that under the hybrid optimization algorithm model, the road occupancy rate can be reduced by about 2%, which means it has advantages in convergence speed and optimization accuracy, and is suitable for handling complex traffic signal optimization problems. In addition, this article also analyzed the impact of key parameters on the optimization results of the final experiment, and discussed the implications of the experimental results for the future development of the system and its limitations. This study provides valuable reference for the design of intelligent signal optimization algorithms in intelligent traffic control systems, which helps to achieve more efficient and accurate intelligent traffic control. © 2024 The Authors. Published by Elsevier B.V.

关键词： Genetic algorithms

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Concordant Mechanisms for Managing the Development of the Region's Transport Infrastructure 4

Concordant Mechanisms for Managing the Development of the Re...

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4th international conference on control systems, Mathematical modeling, Automation and Energy Efficiency, SUMMA 2022

作者： Enaleev, A.K. Tsyganov, V.V. Solomenko Institute of Transport Problems Russian Academy of Sciences St. Petersburg Russia

ISBN: (数字)9781665456593

ISBN: (纸本)9781665456593

The paper considers models of concordant management mechanisms and the possibility of their application in managing the development of transport infrastructure in the context of sanctions. The basic mechanisms of organizational management include ones for evaluating the effectiveness of transport infrastructure projects, incentive compatible planning procedures, mechanisms for distributing investment resources, mechanisms for incentives and penalties, mechanisms for distributing the responsibility of management bodies over the transport network fragments. © 2022 IEEE.

关键词： Investments

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Input-output Behavioral Data-driven LQG control of Axial-gap Self-bearing Motor

Input-output Behavioral Data-driven LQG Control of Axial-gap...

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international conference on Advanced Mechatronic systems (ICAMechS)

作者： Chengyan Zhao Satoshi Ueno Department of Mechanical Engineering College of Science and Engineering Ritsumeikan University Kusatsu Shiga Japan

ISBN: (数字)9798350366204

ISBN: (纸本)9798350366211

This paper addresses the displacement control of the tilt-controlling axial-gap self-bearing motor via input-output data-driven Linear-Quadratic-Gaussian (LQG) approach. First, the dynamic model is stated and the linearized state-space model at the operating point is obtained. Although LQG method has been widely used in many practical problems, it is still hard to effectively address nonlinear processes, high-order dynamic modeling, and the negative effects caused by the complex structure of motors and noise. Therefore, we fully utilize actual input-output data from the system to reconstruct the system’s dynamic behavior and compute the static feedback control rates that can compete with the dynamic feedback gains obtained from model-free data-driven methods, which effectively improve the displacement control performance of the axial-gap magnetic self-bearing motor.

关键词： Displacement control Computational modeling Motors Stability analysis Real-time systems Nonlinear dynamical systems Feedback control State-space methods Noise measurement Optimization

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Liquid Level Measurement and control in High Temperature and High-pressure Environments of Nuclear Power Plant 2

Liquid Level Measurement and Control in High Temperature and...

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2nd international conference on Energy Utilization and Automation, ICEUA 2023

作者： Hu, Yanjun Xu, Tianxiang Gan, Changxian Zhu, Qinglian Liu, Shengzhi Suzhou Nuclear Power Research Institute Co. Ltd. Guangdong Province Shenzhen518000 China

There are many pieces of high-temperature and high-pressure system equipment in nuclear power plants, such as deaerators, high-pressure feedwater heaters, steam-water separation reheaters, etc. The media parameters in these systems and equipment are high and the working conditions are complex. It is necessary to solve the above problems by adopting multi-channel averaging, increasing the slope of the condensing line, and separating the sampling ports of multiple channels. After practical verification, the above solution can effectively solve or reduce the above problems, which can provide a reference for the liquid level measurement and control in subsequent similar high-pressure and high-temperature environments in nuclear power plants. © Published under licence by IOP Publishing Ltd.

关键词： Nuclear power plants

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Input-output Module of control Software for Servo Hydraulic Drives with Hydrostatic Guides 16

Input-output Module of Control Software for Servo Hydraulic ...

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16th IEEE international Scientific and Technical conference Actual problems of Electronic Instrument Engineering, APEIE 2023

作者： Topolsky, Dmitry V. Yumagulov, Nikolay I. Beliakov, Alexander E. Zvereva, Elena A. Topolsky, Nikita D. Gonenko, Tatiana V. Chelyabinsk Russia Dep. of Education in Physics and Mathematics Nizhnevartovsk State University Nizhnevartovsk Russia Industrial University of Tyumen Nizhnevartovsk Department Nizhnevartovsk Russia Dep. of Automation and Robotics Omsk State Technical University Omsk Russia

ISBN: (纸本)9798350330885

The paper presents control software for servo hydraulic drives (SHD) with hydrostatic guides (HG). The control software is used to organize the operation of SHD with HG in a test bench structure. The functions of the software in question are control, adjustment and diagnostics of parameters of SHD with HG. Adjustment of the frequency of influence on the controlled object occurs by transfer of effort from the pumping unit through a specialized platform by processing signals coming from the control system. SHD with HG used in the diagnostic stand has a service life of up to 100 million cycles by operating loads. This performance is achieved through the use of HG in the design of SHD. Focused on ensuring the automated operation of SHD with HG, the architecture of the control software complex allows you to monitor the status of equipment using digital data transfer protocols, set all the necessary equipment parameters, and organizes centralized storage and replication of settings of SHD with HG. As a result of data reception modeling and transmission between SHD with HG installation and the software package, the operability of the control software was checked. © 2023 IEEE.

关键词： Condition monitoring

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