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检索条件"任意字段=19th International Conference on Control Systems and Computer Science"

共 43154 条记录，以下是4721-4730 订阅

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Oblivious Monitoring for Discrete-Time STL via Fully Homomorphic Encryption 24th

Oblivious Monitoring for Discrete-Time STL via Fully Homomor...

引用

24th international conference on Runtime Verification

作者： Waga, Masaki Matsuoka, Kotaro Suwa, Takashi Matsumoto, Naoki Banno, Ryotaro Bian, Song Suenaga, Kohei Kyoto Univ Grad Sch Informat Kyoto Japan Cybozu Inc Tokyo Japan Beihang Univ Beijing Peoples R China

ISBN: (纸本)9783031742330;9783031742347

When monitoring a cyber-physical system (CPS) from a remote server, keeping the monitored data secret is crucial, particularly when they contain sensitive information, e. g., biological or location data. Recently, Banno et al. (CAV'22) proposed a protocol for online LTL monitoring that keeps data concealed from the server using Fully Homomorphic Encryption (FHE). We build on this protocol to allow arithmetic operations over encrypted values, e. g., to compute a safety measurement combining distance, velocity, and so forth. Overall, our protocol enables oblivious online monitoring of discrete-time real-valued signals against signal temporal logic (STL) formulas. Our protocol combines two FHE schemes, CKKS and TFHE, leveraging their respective strengths. We employ CKKS to evaluate arithmetic predicates in STL formulas while utilizing TFHE to process them using a DFA derived from the STL formula. We conducted case studies on monitoring blood glucose levels and vehicles' behavior against the Responsibility-Sensitive Safety (RSS) rules. Our results suggest the practical relevance of our protocol.

关键词： Monitoring cyber-physical systems signal temporal logic fully homomorphic encryption CKKS TFHE

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Prediction of COVID-19 Severity Using Patient’s PHR 6th

Prediction of COVID-19 Severity Using Patient’s PHR

引用

6th international conference on Information and Communication Technology for Intelligent systems, ICTIS 2021

作者： Bharathi, M.A. Meghana Kumar, K.J. Department of Artificial Intelligence and Machine Learning BMS Institute of Technology and Management Bangalore India Department of Computer Science BMS Institute of Technology and Management Bangalore India

ISBN: (纸本)9789811935749

A significant health crisis, including the current COVID-19 outbreak, presents us for an opportunity to think about it and focus on how we may improve the way we handle health care in the future to make us humans better prepared and capable of dealing with such an *** the COVID-19 trend has swayed irregularly, they have remained in the dark, unsure how much resources they will have even in the future *** these instances, difficult period to be capable of predicting exactly what sort of resources a person have it necessary now of a positive test, or perhaps even earlier, would take place extremely beneficial to organizations, as they will be able to get or make preparations with their resource required to save that patient’s *** aim of the work is to devise a system that would be both outlay and reliable. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： COVID-19

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System for Prioritizing Covid-19 Patients Based on Certain Parameters 3

System for Prioritizing Covid-19 Patients Based on Certain P...

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3rd international conference on Power, Energy, control and Transmission systems, ICPECTS 2022

作者： Hemavathi, S. Sumesh, Lohith Sai Krishnan, R. Latha, K. Jayasakthi Velmurugan, K. Kavitha, D. Sri Sairam Engineering College Department of Computer Science and Engineering TamilNadu Chennai India Jeppiar College of Engineering Department of Computer Science and Engineering India

ISBN: (纸本)9781665462754

Over numerous nations on earth, a brand-new virus known as the corona virus has been spreading like wildfire. Hospitals are exposed to many people, and it might be difficult to follow COVID-19 and take into consideration all patients. We have created a decision-making method based on a few parameters and X-rays to identify the priority of patients. the Mask R- CNN technique is used to train and test on the dataset to classify patients as having COVID infection or not. On chest X-ray pictures, the mask R CNN technique enhances COVID - 19 detection performance. © 2022 IEEE.

关键词： Viruses

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An Improved Seagull Optimization Algorithm for Flexible Job-shop Scheduling Problem 13

An Improved Seagull Optimization Algorithm for Flexible Job-...

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13th IEEE international conference on CYBER Technology in Automation, control, and Intelligent systems, CYBER 2023

作者： Ma, Kai Yao, Shijie Guo, Shiliang Yang, Bin Li, Shuai Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China

ISBN: (纸本)9798350315196

Job-shop scheduling problem is the core link and key technology to realize smart factory and develop smart manufacturing technology. Among them, the flexible job-shop scheduling problem (FJSP) which is more consistent with the actual production and processing mode has been focused. this paper proposes an improved seagull optimization algorithm(ISOA) for solving the FJSP. the ISOA uses chaos initialization and reverse learning to optimize initial population, and introduces Q-learning to change the fitting parameters to balance global search and local search. In addition, we propose a local search model that is adaptive iterative process to enhance the algorithm's optimization search capability. the results of the experiment proved that the algorithm is superior in terms of optimization speed and scheduling results. © 2023 IEEE.

关键词： Iterative methods

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Applying 3D Human Hand Pose Estimation to Teleoperation 5

Applying 3D Human Hand Pose Estimation to Teleoperation

引用

5th international conference on Robotics and computer Vision, ICRCV 2023

作者： Li, Rui Lu, Haopeng Ma, Siwei Cui, Chen National Engineering Research Center of Visual Technology School of Computer Science Peking University Beijing100871 China Cooperative Medianet Innovation Center Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9798350326369

3D human hand pose estimation from visual data has received an increasing amount of attention, and the availability of low-cost depth cameras gives a great impetus to the development of this field. Nearly all recent hand pose estimation methods are oriented towards unified evaluation criteria defined by popular public benchmark datasets: the ultimate goal is to reduce the estimation error. However, the fact is that there exists a gap between human hand pose estimation and its applications. It is unclear how to recover global and local degrees of freedom from a set of structural hand joints, which is a necessary condition to apply human hand pose estimation to teleoperation, i.e., mapping estimated human hand poses at the master side to robotic hand poses at the slave side. Conventional teleoperation systems are implemented with the aid of a data glove or essentially built on gesture recognition. these solutions are inferior to vision-based hand pose estimation in offering an easy-to-use and natural human-robot interaction interface. In this paper, we propose three methods to teleoperate robotic hands by 3D vision-based human hand pose estimation. the feasibility of the three methods is tested in a simulated environment. © 2023 IEEE.

关键词： Remote control

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A Measurement-Derived Functional Model for the Interaction Between Congestion control and QoE in Video Conferencing 24th

A Measurement-Derived Functional Model for the Interaction B...

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24th Annual international conference on Passive and Active Measurement (PAM)

作者： He, Jia Ammar, Mostafa Zegura, Ellen Georgia Inst Technol Atlanta GA 30332 USA

ISBN: (纸本)9783031284854;9783031284861

Video Conferencing Applications (VCAs) that support remote work and education have increased in use over the last two years, contributing to Internet bandwidth usage. VCA clients transmit video and audio to each other in peer-to-peer mode or through a bridge known as a Selective Forwarding Unit (SFU). Popular VCAs implement congestion control in the application layer over UDP and accomplish rate adjustment through video rate control, ultimately affecting end user Quality of Experience (QoE). Researchers have reported on the throughput and video metric performance of specific VCAs using structured experiments. Yet prior work rarely examines the interaction between congestion control mechanisms and rate adjustment techniques that produces the observed throughput and QoE metrics. Understanding this interaction at a functional level paves the way to explain observed performance, to pinpoint commonalities and key functional differences across VCAs, and to contemplate opportunities for innovation. To that end, we first design and conduct detailed measurements of three VCAs (WebRTC/Jitsi, Zoom, BlueJeans) to develop understanding of their congestion and video rate control mechanisms. We then use the measurement results to derive our functional models for the VCA client and SFU. Our models reveal the complexity of these systems and demonstrate how, despite some uniformity in function deployment, there is significant variability among the VCAs in the implementation of these functions.

关键词： Video conferencing

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Comparing the Effectiveness of Generative Adversarial Networks for Clustering Tasks 19

Comparing the Effectiveness of Generative Adversarial Networ...

引用

19th IEEE international conference on computer science and Information Technologies, CSIT 2024

作者： Lytvynenko, Volodymyr Olszewski, Serge Osypenko, Volodymyr Lurie, Iryna Demchenko, Violeta Dontsova, Dariia Kherson National Technical University Department of Informatics and Computer Science Kherson Ukraine Taras Shevchenko National University Department of Radio Engineering and Electronic Systems Kyiv Ukraine Kyiv National University of Technology and Design Department of Computer Science Kyiv Ukraine State Institution 'Kundiiev Institute of Occupational Health of the National Academy of Medical Sciences of Ukraine' Kyiv Ukraine

ISBN: (纸本)9798331542627

this study compares the effectiveness of various Generative Adversarial Network architectures, including WGAN and WGAN-GP, in data clustering using the Iris dataset. Performance was evaluated with metrics such as Silhouette Score, Davies-Bouldin Index, Adjusted Rand Index, and Mutual Information. WGANs demonstrated the best clustering performance, while GANs showed promising results but were outperformed by WGAN. Contrary to expectations, WGAN-GP performed the worst. the research underscores the potential of GANs in clustering and highlights the need for further optimization based on specific datasets. © 2024 IEEE.

关键词： adjusted mutual information Davies-Bouldin index generative adversarial networks adjusted rand index mutual information silhouette index

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AmI Garden: An Intelligent Greenhouse for the Implementation of Precision Agriculture Practices 25th

AmI Garden: An Intelligent Greenhouse for the Implementation...

引用

25th international conference on Human-computer Interaction, HCII 2023

作者： Kapnas, George Doxastaki, Maria Bouloukakis, Manousos Stratakis, Christos Stivaktakis, Nikolaos Menelaos Evdaimon, theodoros Korozi, Maria Leonidis, Asterios Paparoulis, George Antona, Margherita Stephanidis, Constantine Institute of Computer Science Vassilika Vouton N. Plastira 100 Heraklion Crete70013 Greece Department of Computer Science University of Crete P.O. Box 2208 Heraklion Crete71409 Greece

ISBN: (纸本)9783031492143

this paper introduces the concept of an intelligent greenhouse and intelligent seedbed as innovative solutions to enhance precision agriculture in small-scale cultivation settings. the core motivation behind this project lies in the need to improve cultivation practices, by reducing resource input and adopting an overall more efficient approach, while also making the system accessible both locally as well as remotely, through a variety of interfaces, to different stakeholders. While smart agriculture solutions already exist for large-scale farming, this paper has its main focus on the specific context of greenhouse cultivation in relatively smaller, scattered plots, as commonly found in Crete;the proposed intelligent greenhouse and seedbed aim to provide automated monitoring, customized cultivation support, and accessible information to various stakeholders, regardless of their level of expertise or professional involvement in farming. Despite some technical challenges, initial tests with both systems yielded promising results, helping to effectively monitor and manage the cultivation process;furthermore, users with varying levels of agricultural knowledge found the system generally easy to control. Some of the challenges faced include maintaining sub-system reliability, interference from external factors, as well as sensor limitations. © 2024, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Cultivation

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Structural Coverability for Intelligent Automation systems

Structural Coverability for Intelligent Automation Systems

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IEEE international conference on Automation science and Engineering (CASE)

作者： Endre Erós Kristofer Bengtsson Knut Åkesson Electrical Engineering Systems and Control Department Automation Research Group Chalmers University of Technology Gothenburg Sweden Volvo Group as Senior Researcher for Smart and Connected Operations Research and Technology Development Gothenburg Sweden

In order to be flexible and handle complex scenarios, intelligent automation systems might benefit from automated planning techniques which rely on specifications and models describing their behavior. However, due to the presence of message passing, latency, jitter, timeouts, failures, and error handling, the verification of such behavior models using formal methods is often unfeasible. therefore, testing has emerged as an approach to evaluating the behavior of intelligent automation systems. this paper presents a way to analyze structural coverability of behavior models for intelligent automation systems, which is inspired by the modified condition/decision coverage (MC/DC) criterion. this is paired with a testing procedure that enables each test case to influence both the controller and the simulated environment by injecting some specific state. As a result, the proposed coverability criterion can effectively identify segments of the behavior model that have not been adequately tested and suggest additional test cases to improve coverability. An example use case is presented to demonstrate the effectiveness of this approach.

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Pilot Study for Myoelectric control of a Supernumerary Robot During a Coordination Task

Pilot Study for Myoelectric Control of a Supernumerary Robot...

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Human computer Interaction thematic Area conference Held as Part of the 24th international conference on Human-computer Interaction (HCII)

作者： O'Meara, Sarah Robinson, Stephen Joshi, Sanjay Univ Calif Davis Davis CA 95616 USA

ISBN: (纸本)9783031054099;9783031054082

Robots are used in a wide variety of applications to augment the capability of humans. A relatively new category of assistive robots, supernumerary robots (SRs), create an additional, kinematically independent limb or appendage that may serve various functions. SR research has centered on device development and proof-of-concept but has generally not focused on the human interface and human-robot performance. In this pilot study, four subjects completed 80 cursorto-target trials of a three-handed coordination task with a collaborative robot. the subjects used their two natural hands to control a cursor on a screen in 2-DOFs (degrees of freedom) and used a leg muscle signal to control the robotic hand. the robotic hand controlled the cursor in the third DOF. We calculated two metrics to assess coordination, the coordination score and the DOF activation. Subjects improved in the coordination score and DOF activation throughout the study duration. the subjects increased the percentage of trial time with 3-DOFs active and correspondingly decreased 1-DOF activation. the results indicated that subjects learned how to improve their coordination, while successfully completing trials and decreasing their trial completion time. the subjects tended to coordinate most of the time with their hands (41%) followed by all three limbs (19%). Future studies should focus on increasing the proportion of 3-DOF coordination for improved human-robot performance.

关键词： Supernumerary robots Human-machine interfaces Myoelectric control

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