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Modelling academic responsibility in relation to student satisfaction regarding online courses at 'Dunǎrea de Jos' University of Galaţi, Romania - A proposal 20

Modelling academic responsibility in relation to student sat...

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20th RoEduNet Conference: Networking in Education and Research, RoEduNet 2021

作者： Garabet, Leonard Dumitriu, Luminita Dunǎrea de Jos University of Galaţi Romania Department of Teacher Training Galati Romania Dunǎrea de Jos University of Galaţi Romania Faculty of Automation Computer Sciences Electronics and Electrical Engineering Galati Romania

ISBN: (纸本)9781665413510

The paper proposes a conceptual model for the evaluation of the triad academic responsibility - quality of service - student satisfaction at University 'Dunǎrea de Jos' in Galati, Romania in the context of online learning on the Microsoft Teams platform and MOODLE. Starting from the concept of corporate social responsibility (Corporate Social Responsibility -CSR) the concept of academic social responsibility was derived, including the responsibility of universities in terms of teaching, but also the one related to the social and economic context of student training. The new model attempts to express the relation that should exist between the quality of service, the academic responsibility and student satisfaction and support for the university brand, either by his return to university, for lifelong learning, or by-promoting the university. © 2021 IEEE.

关键词： Quality of service

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PCB Defect Detection Using Denoising Convolutional Autoencoders 1

PCB Defect Detection Using Denoising Convolutional Autoencod...

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1st International Conference on Machine Vision and Image Processing, MVIP 2020

作者： Khalilian, Saeed Hallaj, Yeganeh Balouchestani, Arian Karshenas, Hossein Mohammadi, Amir Faculty of Computer Engineering University of Isfahan Isfahan Iran Industrial Automation Unit Pardisan Rayaneh System Company Isfahan Iran

Printed Circuit boards (PCBs) are one of the most important stages in making electronic products. A small defect in PCBs can cause significant flaws in the final product. Hence, detecting all defects in PCBs and locating them is essential. In this paper, we propose an approach based on denoising convolutional autoencoders for detecting defective PCBs and to locate the defects. Denoising autoencoders take a corrupted image and try to recover the intact image. We trained our model with defective PCBs and forced it to repair the defective parts. Our model not only detects all kinds of defects and locates them, but it can also repair them as well. By subtracting the repaired output from the input, the defective parts are located. The experimental results indicate that our model detects the defective PCBs with high accuracy (97.5%) compare to state of the art works. © 2020 IEEE.

关键词： Printed circuit boards

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Value Stream Mapping for Smart Pharmaceutical Management in a Thai Hospital

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Procedia computer Science 2025年 253卷 495-504页

作者： Ganda Boonsothonsatit Rardchawadee Silapunt Supachai Vongbunyong Kamol Kaemarungsi Wirachchaya Chanpuypetch Nilubon Chonsawat Graduate School of Management and Innovation King Mongkut’s University of technology Thonburi Thailand Electronic and Telecommunication Engineering King Mongkut’s University of Technology Thonburi Thailand Hospital Automation Research Center Institute of Field Robotics King Mongkut’s University of Technology Thonburi Thailand National Electronics and Computer Technology Center National Science and Technology Development Agency Thailand Faculty of Agro-Industry Chiang Mai University Thailand Department of Agricultural Economy and Developement Faculty of Agriculture Chiang Mai University Thailand

The evolution of healthcare systems worldwide necessitates continual improvement in hospital management practices, particularly pharmaceutical management. This paper explores transforming traditional pharmaceutical management systems in large and medium-sized hospitals in Thailand into smart systems using Value Stream Mapping (VSM) as a guiding tool. Traditional systems often face challenges such as inefficiencies and medication errors. VSM, rooted in lean management principles, offers a structured approach to visualize and optimize processes. Additionally, smart technologies like automated inventory systems and electronic health records enhance pharmaceutical management effectiveness. Through a comprehensive research methodology encompassing case studies, data collection, and VSM analysis, this study identifies inefficiencies and proposes evidence-based strategies for improvement. Results from a case study highlight the benefits of VSM implementation in enhancing pharmacy operations, emphasizing improved patient care and operational efficiency. The implementation of a smart medication dispensing system shows promising results in reducing workload and accommodating increased patient arrivals. Continued evaluation and refinement are crucial for maximizing benefits and addressing emerging challenges effectively.

关键词： lean management smart medication dispensing smart pharmaceutical smart technologies Value Stream Mapping

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Assessment of Sagittal Alignment Of Cervical Spine In seated individuals on Stable And Unstable Base

Assessment of Sagittal Alignment Of Cervical Spine In seated...

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Technologies for Defense and Security (TechDefense), IEEE International Workshop on

作者： Silviya Filkova Miroslav Markov Valentina Markova Training sector “Rehabilitator” Medical college Medical University-Varna Varna Bulgaria Department of Software and Internet Technologies) Technical University of Varna Varna Bulgaria Department of Communication Engineering and Technologies Faculty of Computer Sciences and Automation Technical University of Varna Varna Bulgaria

Office workers frequently maintain prolonged static postures and engage in extended computer or desk work, both of which can significantly contribute to back pain. This extended sitting places elevated stress on the musculoskeletal structures of the back, including the back, neck, arms, and legs, and subjects the spinal muscles and discs to significant pressure. The measurement of the craniovertebral angle (CVA) is one of the most used methods to assess head posture. In this research, we investigate the sagittal alignment of the cervical spine in individuals who spend extended periods working with computers under two conditions: while seated on a stable base and while seated on an unstable base.

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Delay-Beat Differential Phase Demodulation for Laser Phase Noise Immunity in Phase-Sensitive OTDR

Delay-Beat Differential Phase Demodulation for Laser Phase N...

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Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Heng Qian Chuan Li Chengli Li Yunnan Key Laboratory of Computer Technologies Application Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China Yunnan Key Laboratory of Opo-electronic Information Technology School of Physics and Electronic Information Yunnan Normal University Kunming China

A phase demodulation method immune to laser phase noise based on time-delay beat-frequency coherent Φ-OTDR is proposed. In this method, the two Rayleigh backscattered light beams with time delay are beat with local light beams respectively, and the phase difference of the two beat signals is used instead of the traditional distance-difference phase to obtain the local disturbance information. In this way, the impact of laser phase noise introduce by the distance-difference phase is avoid, and the constraint of laser linewidth on phase demodulation performance is weakened. In the experiment, a demodulation accuracy of -63.5dB rad 2 /Hz is achieved under the condition of a laser with a linewidth of 100kHz, which is improve by 11dB compared to traditional phase demodulation method.

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Complex Pathways to Cooperation Emergent from Asymmetry in Heterogeneous Populations

arXiv

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arXiv 2023年

作者： Guo, Hao Shen, Chen Zou, Rongcheng Tao, Pin Shi, Yuanchun Wang, Zhen Xing, Junliang Department of Computer Science and Technology Tsinghua University Beijing100084 China Faculty of Engineering Sciences Kyushu University Fukuoka816-8580 Japan School of Automation Northwestern Polytechnical University Xi’an710072 China Northwestern Polytechnical University Xi’an710072 China

Cooperation within asymmetric populations has garnered significant attention in evolutionary games. This paper explores cooperation evolution in populations with weak and strong players, using a game model where players choose between cooperation and defection. Asymmetry stems from different benefits for strong and weak cooperators, with their benefit ratio indicating the degree of asymmetry. Varied rankings of parameters including the asymmetry degree, cooperation costs, and benefits brought by weak players give rise to scenarios including the prisoner’s dilemma (PDG) for both player types, the snowdrift game (SDG), and mixed PDG−SDGinteractions. Our results indicate that in an infinite well-mixed population, defection remains the dominant strategy when strong players engage in the prisoner’s dilemma game. However, if strong players play snowdrift games, global cooperation increases with the proportion of strong players. In this scenario, strong cooperators can prevail over strong defectors when the proportion of strong players is low, but the prevalence of cooperation among strong players decreases as their proportion increases. In contrast, within a square lattice, the optimum global cooperation emerges at intermediate proportions of strong players with moderate degrees of asymmetry. Additionally, weak players protect cooperative clusters from exploitation by strong defectors. This study highlights the complex dynamics of cooperation in asymmetric interactions, contributing to the theory of cooperation in asymmetric games. © 2023, CC BY-NC-SA.

关键词： Game theory

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Spherical-Dynamic Time Warping - a New Method for Similarity-Based Remaining Useful Life Prediction

SSRN

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SSRN 2023年

作者： Li, Xiaochuan Yang, Yingjie Lin, Tianran Mba, David School of Electrical Engineering and Automation Hefei University of Technology Hefei China School of Computer Engineering and Media De Montfort University LeicesterLE1 9BH United Kingdom Faculty of Mechanical and Automotive Engineering Qingdao University of Technology Qingdao China Creative Computing Institute University of the Arts London London United Kingdom

Machinery prognostics and health management (PHM) plays a key role in the reliable and efficient operation of industrial processes. With the emerging big data era, data-driven prognostic methods which avoid considering complicated system models have attracted growing research interest. Among many data-driven models, similarity-based prediction methods have been popular due to their strong interpretability and relatively simple implementation process. Nevertheless, when quantifying the similarity between two trajectories, most existing works neglect the nonlinearity of fault evolution and degradation alignments with timing difference, which may not be sufficient to retrieve the most suitable trajectories for remaining useful life (RUL) prediction. To overcome these limitations, a Spherical-Dynamic Time Warping (Spherical-DTW) algorithm is put forward to find an optimal match between the test and training trajectories at the retrieval step. Dynamic Time Warping allows degradation alignments with timing difference through stretching or compressing the trajectories with regard to time, thereby the data in similar degradation levels can be well aligned across different units. Moreover, a newly defined nonlinear Spherical distance method is introduced and incorporated into the retrieval process to account for the nonlinearity of the damage propagation process. The significance of this study is that the newly proposed Spherical-DTW algorithm goes one step further to consider the nonlinearity of fault evolutions and allow degradation pattern alignments with timing difference when performing similarity-based prognostics. Two run-to-failure cases, involving a real-world industrial compressor failure case and a gas turbine engine failure dataset, are investigated to demonstrate the effectiveness and superiority of the proposed algorithm. © 2023, The Authors. All rights reserved.

关键词： Condition monitoring

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Research on Heterogenous Fleet Dynamic Vehicle Rounting Problem Based on Memetic Algorithm 4

Research on Heterogenous Fleet Dynamic Vehicle Rounting Prob...

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4th Annual International Conference on Data Science and Business Analytics, ICDSBA 2020

作者： Wang, Rui Guo, Ning Kunming Metallurgy College Faculty of Computer Information Kunming650033 China Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming650500 China

ISBN: (纸本)9781728181646

For the problem of heterogenous fleet dynamic vehicle rounting, a memetic algorithm was proposed to optimize the minimum vehicle number and transportation cost. In order to improve the global exploration ability of the algorithm, an improved distribution estimation algorithm is used in the pre-optimization phase of global search, Quantum genetic algorithm is used in real - time optimization. The client node reset and 2-opt algorithm are adopted to enhance the local search ability of the algorithm. Finally, the validity of the algorithm is verified by simulation experiments. © 2020 IEEE.

关键词： Vehicles

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Image and Feature Space Based Domain Adaptation for Vehicle Detection

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computers, Materials & Continua 2020年第12期65卷 2397-2412页

作者： Ying Tian Libing Wang Hexin Gu Lin Fan School of Computer Science and Software Engineering University of Science and Technology LiaoningAnshan114051China School of Mechanical Engineering and Automation University of Science and Technology LiaoningAnshan114051China Faculty of Business Economics&LawThe University of QueenslandBrisbaneQLD 4072Australia

The application of deep learning in the field of object detection has experienced much ***,due to the domain shift problem,applying an off-the-shelf detector to another domain leads to a significant performance drop.A large number of ground truth labels are required when using another domain to train models,demanding a large amount of human and financial *** order to avoid excessive resource requirements and performance drop caused by domain shift,this paper proposes a new domain adaptive approach to cross-domain vehicle *** approach improves the cross-domain vehicle detection model from image space and feature *** employ objectives of the generative adversarial network and cycle consistency loss for image style transfer in image *** feature space,we align feature distributions between the source domain and the target domain to improve the detection *** are carried out using the method with two different datasets,proving that this technique effectively improves the accuracy of vehicle detection in the target domain.

关键词： Deep learning cross-domain vehicle detection

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Simple and Accurate Method to Evaluate Type a Standard and Expanded Uncertainties of Measurement for the Laplace Distributed Observations

SSRN

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SSRN 2023年

作者： Dorozhovets, Mykhaylo Department of Metrology and Diagnostic Systems Faculty of Electrical and Computer Engineering Rzeszow University of Technology ul. Wincentego Pola 2A Rzeszów35-959 Poland Department of Measuring Information Technologies Institute of Computer Technologies Automation and Metrology Lviv Polytechnic National University 12 Bandera street Lviv79013 Ukraine

The article proposes simple and accurate evaluation of the standard and expanded uncertainties of the Laplace population median. The uncertainty evaluation based on the approximation of the population median distribution for n observations by the distribution of the sample median for n - 2 observations. Comparisons of the results obtained by proposed approximation with exact results shown that when 6 ≤ n ≤ 10 the differences between approximated and exact standard uncertainties are lees then 1% (0.56%), i.e. negligibly small and for a confidence level p = 0.90 and 0.95 the approximated value of expanded uncertainty differ from exact value less than 1%, and for p= 0.99 difference does not exceed ≈ 5%. When n ≥ 11 the Monte Carlo simulation results showed that the proposed method for determining both the standard and the expanded uncertainty of population median do not exceed ±1%, i.e. is very much precise. © 2023, The Authors. All rights reserved.

关键词： Monte Carlo methods

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