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2012 IEEE 18th International Symposium for Design and Technology of Electronics Packages, SIITME 2012

作者： Orha, I. Oniga, S. Electric Electronic and Computer Engineering Technical University of Cluj-Napoca North University Center Baia Mare Baia Mare Romania Faculty of Informatics University of Debrecen Debrecen Hungary

ISBN: (纸本)9781467347594

This paper present a study of the effects of frequency converters to the power grid and a possible solution for current distortions compensation. Experimental measurements made, at different points of the grid, with the device Fluke 434 to a converter which supplies a 110 kW asynchronous motor, reveal the distortions of current. Harmonics content of current for the three phases and THD distortion factor emphasize the existence of strong distortions of current. Current compensation method, proposed and simulated, consists in collecting a sample of non-sinusoidal current from the inverter input resistance or using a current transformer, which will be decreased from a sinusoidal reference signal. This difference is amplified and synchronized, so that it can be injected back into the grid. Simulations above described method are made in Matlab-Simulink Power Systems. © 2012 IEEE.

关键词： Frequency converters

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Information Quality Assessment for the Medical Wearable Devices: Validation Study 14

Information Quality Assessment for the Medical Wearable Devi...

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14th International Conference on Innovations in Information Technology, IIT 2020

作者： Alrae, Rawhi Abutalib, Manar Nasir, Qassim University of Sharjah College of Engineering Engineering Management Department Sharjah United Arab Emirates University of Sharjah College of Computing Informatics Department of Computer Science Sharjah United Arab Emirates University of Sharjah College of Engineering Department of Electrical Engineering Sharjah United Arab Emirates

ISBN: (纸本)9781728181844

Wearable systems are promising Internet of Things (IoT) solutions that have attracted researchers' attention in the last decade. They are getting more consideration after the COVID-19 pandemic. Information Quality (IQ) is essential for obtaining value from wearable IoT systems. In our earlier work, we proposed a complete framework that systemically developed a total IQ assessment of the IoT systems. The framework was initially validated by conducting a comparison study. Therefore, this paper aims to validate the utility of the earlier framework by using a single-case experiment. This experiment studies the use of the framework in defining IQ assessment for medical wearable IoT devices. The methodology of the experiment involves conducting literature surveys. This paper successfully uses wearable systems as a case to test the assessment processes of the IQ framework for the IoT systems. However, the case effectively indicates the importance of the framework pillars: the data quality dimensions and the IoT elements by assessing the medical wearables. © 2020 IEEE.

关键词： Internet of things

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Human machine interface in concept of industry 4.0 1

Human machine interface in concept of industry 4.0

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1st IEEE World Symposium on Digital Intelligence for Systems and Machines, DISA 2018

作者： Papcun, Peter Kajati, Erik Koziorek, Jiri Faculty of Electrical Engineering and Informatics Department of Cybernetics and Artificial Intelligence Technical University of Košice Košice Slovakia VSB - Technical University of Ostrava Faculty of Electrical Engineering and Computer Science Department of Cybernetics and Biomedical Engineering Ostrava Czech Republic

ISBN: (纸本)9781538651025

Smart industry and the concept of Industry 4.0 bring new solutions, architectures, and technologies to industry and manufacturing. Some of these concepts have evolved. For example, Web 4.0, Operator 4.0, Society 5.0 and many other Technologies X.0. Among others, the Human Machine Interface has also changed from buttons and diodes in control rooms, through web visualization to cognitive and intelligent space. This paper describes this evolution and provides examples of solutions or case studies for every generation in this evolution. © 2018 IEEE.

关键词： Industry 4.0

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Classification Anterior and Posterior of Knee Osteoarthritis X-Ray Images Grade KL-2 Using Deep Learning with Random Brightness Augmentation

Classification Anterior and Posterior of Knee Osteoarthritis...

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2022 International Conference on computer engineering, Network and Intelligent Multimedia, CENIM 2022

作者： Supatman Yuniarno, Eko Mulyanto Purnomo, Mauridhi Hery Institut Teknologi Sepuluh Nopember FTI UMBY Dept. of Electrical Engineering Dept. of Informatics Surabaya60111 Indonesia Institut Teknologi Sepuluh Nopember Dept. of Electrical Engineering Dept. of Computer Engineering Surabaya60111 Indonesia

ISBN: (纸本)9781665476508

Osteoarthritis of the knee (KOA) is a narrowing of the joint space area (JSA) due to lack of fluid in the knee joint, resulting in pain when moving and when it is severe, the femur and tibia meet. Medical personnel and existing computer-based methods have been able to detect patients with X-rays but have not been able to detect where visually the posterior AJ is still wide while the anterior AJ is actually narrow, so that the patient still feels joint pain. A new approach is proposed for the classification of X-Ray Grade Kellgren-Lawrence (KL)-2 Osteoarthritis Initiative image datasets using Deep Learning Neural Networks (DCNN) by setting the Random Brightness Augmentation hyperparameter. The experimental results obtained X-Ray Grade KL-2 narrowing image classification 'Anterior View KOA' and 'Posterior View KOA' with training accuracy of 83.33% and validation accuracy of 54.69% at Random Brightness with a value of 30. © 2022 IEEE.

关键词： computer vision

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Monitoring trail allocation for fast link failure localization without electronic alarm dissemination

Monitoring trail allocation for fast link failure localizati...

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作者： He, Wei Wu, Bin Ho, Pin-Han Tapolcai, Janos Cheriton School of Computer Science University of Waterloo Canada Dept. of Electrical and Computer Engineering University of Waterloo Canada Dept. of Telecommunications and Media Informatics Budapest University of Technology and Economics Hungary

ISBN: (纸本)9783901882425

Monitoring trail (m-trail) provides an efficient way to achieve fast and unambiguous link failure localization in all-optical networks. To remove the electronic alarm dissemination, the original m-trail concept has been extended to allow trail status checking at each on-trail node by tapping the supervisory optical signal. By properly allocating such extended m-trails, each monitoring node can ail-optically localize every link failure using its locally collected optical alarm signals. This not only speeds up failure localization, but also minimizes monitoring resources by sharing supervisory wavelength-links among different monitoring nodes. However, the existing ILP design is very time-consuming and could hardly reach optimality. In this paper, we propose an efficient greedy algorithm to allocate the (extended) m-trails and minimize the total wavelength cost Our heuristic is based on a novel "Min Wavelength Max Information" principle which quantifies the contribution of each m-trail on failure localization, and a set of advanced techniques (such as trail-splitting and trail-sharing, etc) to intelligently allocate m-trails. Simulation results substantially attest the superior efficiency and performance of the algorithm in terms of minimizing the total wavelength cost, the required number of m-trails, and the algorithm running time. © 2011 IFIP.

关键词： Monitoring

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CAPODAZ: A containerised authorisation and policy‐driven architecture using microservices

arXiv

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arXiv 2020年

作者： Kallergis, Dimitrios Garofalaki, Zacharenia Katsikogiannis, Georgios Douligeris, Christos Department of Informatics & Computer Engineering University of West Attica Greece Department of Informatics University of Piraeus Greece

The microservices architectural approach has important benefits regarding the agile applications’ development and the delivery of complex solutions. However, to convey the information and to share the data amongst services in a verifiable and stateless way, there is a need to enable appropriate access control methods and authorisations. In this paper, we study the use of policy‐driven authorisations with independent fine‐grained microservices in the case of a real‐world machine‐to‐machine (M2M) scenario using a hybrid cloud‐based infrastructure and Internet of Things (IoT) services. We also model the authentication flows which facilitate the message exchanges between the involved entities, and we propose a containerised authorisation and policy‐driven architecture (CAPODAZ) using the microservices paradigm. The proposed architecture implements a policy‐based management framework and integrates in an on‐going work regarding a Cloud‐IoT intelligent transportation service. For the in‐depth quantitative evaluation, we treat multiple distributions of users’ populations and assess the proposed architecture against other similar microservices. The numerical results based on the experimental data show that there exists significant performance preponderance in terms of latency, throughput and successful *** Codes 68M14 Copyright © 2020, The Authors. All rights reserved.

关键词： Authorization

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Impact of Intention to Use to a Document Management System (Case Study Approach) 3

Impact of Intention to Use to a Document Management System (...

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3rd International Conference on Information Management and Technology, ICIMTech 2018

作者： Hartono, Sugiarto Kosala, Raymondus Raymond Supangkat, Suhono Harso Ranti, Benny Information Systems Department Computer Science Department BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Computer Science Department Bina Nusantara University BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781538658215

Document management system makes user to access information anytime and anywhere. The purpose of this research is to analyze what variables have impact on the intention to use of document management system. To achieve the objectives conducted by identification problem on the research model developed from the model of Technology Acceptance Model and Unified Theory of Acceptance and Use of Technology to the use of document management system. Furthermore, the data obtained from the respondents tested outer model, inner model test, hypothesis test and to produce a comprehensive analysis will be conducted Importance Performance Analysis. This research will result in a comprehensive analysis and able to provide recommendations and solutions for improvement from the implementation DMS has been done earlier. © 2018 IEEE.

关键词： Information services

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Repairs and consistent answers for inconsistent probabilistic spatio-temporal databases

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8th International Conference on Scalable Uncertainty Management, SUM 2014

作者： Parisi, Francesco Grant, John Department of Informatics Modeling Electronics and System Engineering University of Calabria Italy Department of Computer Science and UMIACS University of Maryland College Park United States

ISBN: (纸本)9783319115078

We formally introduce the concept of repair and consistent answer for inconsistent probabilistic spatio-temporal databases. We start by defining the syntax and semantics of SPOT databases, a declarative framework that has been explored in recent years for the representation of spatio-temporal data with uncertainty expressed as probability intervals. In this framework we study two types of repairs, that is, minimal modifications that lead to consistent databases: maximal consistent subsets and probability interval expansion. We also extend the concept of consistent answer to this framework and find that this can be done in several different ways. In emphasizing tractable cases we propose polynomial-time algorithms for computing consistent answers and repairs based on probability interval expansion, and experimentally validate our approach. © Springer International Publishing Switzerland 2014.

关键词： Database systems

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Wrapper-Based Feature Selection to Improve The Accuracy of Intrusion Detection System (IDS) 10

Wrapper-Based Feature Selection to Improve The Accuracy of I...

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10th International Conference on Wireless and Telematics, ICWT 2024

作者： Jupriyadi Budiman, Arief Hamidi, Eki Ahmad Zaki Ahdan, Syaiful Negara, Ridha Muldina Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia Universitas Teknokrat Indonesia Faculty of Engineering and Computer Science Bandarlampung Indonesia Universitas Gadjah Mada Department Computer Science and Electronics Yogyakarta Indonesia UIN Sunan Gunung Djati Bandung Electrical Engineering Department Bandung Indonesia Telkom University School of Electrical Engineering Bandung Indonesia

ISBN: (纸本)9798350377057

An Intrusion Detection System (IDS) is a system that can detect attacks on a network. IDS systems can be built using machine learning approaches. However, significant network traffic and many features cause machine learning algorithms to work slowly. Not all available features are essential for use as a reference in an intrusion detection system. Feature selection is important because it can reduce the dataset and speed up computing time in building models and detection systems. In this paper, feature selection using the wrapper method is proposed. Its performance is compared with filter-based feature selection, such as chi-square, information gain, gain ratio, and correlation-based feature selection (CFS). Based on the exploration, the results showed that the feature selection algorithm using the wrapper method was superior to other algorithms. The number of critical features discovered and the detection system's precision serve as proof of the wrapper approach. With only three features as a reference, the detection system produces an accuracy of 96.22%. It increases 5.84% from 90.38% to 96.22%. Computation time also increases because the number of features used is tiny compared to other algorithms and uses all features. © 2024 IEEE.

关键词： Network intrusion

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Performance Degrading Faults in Branch Target Buffers and Branch Predictors: Exploration and Remedy

SSRN

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SSRN 2023年

作者： Filippou, Filippos Keramidas, Georgios Mavropoulos, Michail Nikolos, Dimitris Department of Computer Engineering & Informatics University of Patras Greece School of Informatics Aristotle University of Thessaloniki Greece

Voltage scaling increases the impact of process variations resulting in an exponential ramp-up in the number of malfunctioning SRAM cells. Our experimental findings reveal that for several percentages of malfunctioning cells (pfails) and processor configurations, the disabling of the faulty Branch Target Buffers (BTB) entries can incur significant average performance (AvP) degradation and even larger worst-case performance (WCP) degradation. To mitigate the impact on performance, we propose alternative BTB designs and we explore their applicability for various pfails. It is already known that malfunctioning cells at Branch Predictors (BP) impact only the performance. Under the single stuck-at fault model (SaFM) as well as under the multiple SaFM, the AvP degradation is small, while the WCP degradation is significant in many cases. However, all studies are based on SaFM which do not model all the faults caused by random process variations. Hence, we performed extensive simulations adopting, besides the multiple SaFM, a more suitable model, the random value fault model. Under both fault models we confirm that the AvP degradation is relatively small while the WCP degradation is significant. Our investigation is based on cycle-accurate simulations, the SPEC2006 benchmarks, a plethora of fault maps, and representative pfails. © 2023, The Authors. All rights reserved.

关键词： Voltage scaling

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