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Developing the Indonesian Qualifications Framework's descriptors for electrical engineering as the basis of the Recognition of Prior Learning (RPL)

Developing the Indonesian Qualifications Framework's descrip...

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International Conference on electrical, Electronic, Informatics and Vocational Education 2018, ICE-ELINVO 2018

作者： Zamtinah Supriyadi, E. Electrical Engineering Education Study Program Faculty of Engineering Yogyakarta State University Indonesia

This study aims to: 1) describe the mechanism of the level 2 IQF (the Indonesian Qualifications Framework) descriptor development for electrical engineering, and 2) formulate a set of detailed-level-2 descriptors for electrical engineering. The method used to develop the descriptors is brainstorming between the researcher and several experts from both academicians and practitioners. Meanwhile, the method to formulate the IQF descriptors for electrical engineering is literature review referring to The Indonesian National Work Competency Standard (SKKNI) and focus group discussion involving experts from academicians, Professional Certification Institute Gema PDKB, the Association of Indonesian electrical Works (APEI), Consortium for electrical Installation Safety (KONSUIL), and industry practitioners such as PT. LEN Bandung, PT. Bukaka Teknik Utama, PT. Schneider Electric Indonesia, and PT. Smart Energi Semesta. The descriptors are in the form of the guttman scale questionnaire. The questionnaire was then tested on limited-scale respondents. The KR 20 method was employed to examine the reliability and resulted in r11 = 0.9;thus, the guttman scale questionnaire was considered "very reliable". The respondents consisted of 8 academicians, 8 electrical engineering teachers at vocational high schools, and 8 industrial practitioners. The collected data were then analyzed descriptively. This study resulted in a set of level 2 IQF descriptors which were designed according to the taxonomy of electricity system, namely electric power transmission system descriptors, electric power distribution system descriptors, and electric power utilization descriptors. In regard to electric power transmission system, 103 out of 154 (67%) descriptors were approved by more than 80% of respondents;for electric power distribution system, 83 descriptors (75%) were approved by more than 80% of respondents;and for electric power utilization system, 61 descriptors (94%) were approved by more than 8

关键词： Surveys

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Prototyping Adaptive Cruise Control on Electric Motorcycle

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IOP Conference Series: Materials Science and engineering 2021年第1期1096卷

作者： D A Purba M Nizam H Maghfiroh M R A Putra Inayati Undergraduate Program of Electrical Engineering Department Faculty of Engineering Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Sebelas Maret Surakarta 57126 Indonesia Lithium Battery Research and Technology Centre Universitas Sebelas Maret Jl. Slamet Riyadi 435 Surakarta 57146 Indonesia Department of Mechanical Engineering Faculty of Engineering Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Chemical Engineering Faculty of Engineering Universitas Sebelas Maret Surakarta 57126 Indonesia

Electric motorcycle is one of the vehicles that can operate using alternative fuels, namely with electrical energy. Travel between cities over great distances, of course this results in a high risk of accidents. Additional features are needed that can warn and stop the electric motorcycle before crashing into other vehicles in front of it. Cruise Control is an automatic technology that is embedded in the automotive system to maintain a constant speed. Prototype refers to the physical and digital representation of pre-production models. This research focuses on applying ultrasonic sensors as distance detectors for the prototype adaptive cruise control system which will be installed as an additional feature on electric motorcycles. The method used in this research starts from simulating a series of systems on Proteus 7.9 software, then designing electrical and software devices on prototyping, and testing. The results obtained by adaptive cruise control mode by testing the variation of distance to PWM duty cycle changes in the simulation compared to prototyping, found an error of ± 1.53%, this shows the prototype Adaptive Cruise Control can work well.

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Measuring hand use in the home after cervical spinal cord injury using egocentric video

arXiv

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arXiv 2022年

作者： Bandini, Andrea Dousty, Mehdy Hitzig, Sander L. Craven, B. Catharine Kalsi-Ryan, Sukhvinder Zariffa, José KITE Research Institute Toronto Rehabilitation Institute University Health Network Canada The BioRobotics Institute Scuola Superiore Sant'Anna Pisa Italy Department of Excellence in Robotics and AI Scuola Superiore Sant'Anna Pisa Italy Institute of Biomedical Engineering University of Toronto TorontoON Canada Rehabilitation Sciences Institute Temerty Faculty of Medicine University of Toronto TorontoON Canada St. John's Rehab Research Program Sunnybrook Research Institute Sunnybrook Health Sciences Centre TorontoON Canada Department of Occupational Science & Occupational Therapy Temerty Faculty of Medicine University of Toronto TorontoON Canada Brain and Spinal Cord Rehabilitation Program Toronto Rehabilitation Institute University Health Network TorontoON Canada Division of Physical Medicine and Rehabilitation Department of Medicine Temerty Faculty of Medicine University of Toronto TorontoON Canada Department of Physical Therapy University of Toronto TorontoON Canada Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto TorontoON Canada

Egocentric video has recently emerged as a potential solution for monitoring hand function in individuals living with tetraplegia in the community, especially for its ability to detect functional use in the home environment. The aim of this study was to develop and validate a wearable vision-based system for measuring hand use in the home among individuals living with tetraplegia. Several deep learning algorithms for detecting functional hand-object interactions were developed and compared. The most accurate algorithm was used to extract measures of hand function from 65 hours of unscripted video recorded at home by 20 participants with tetraplegia. These measures were: the percentage of interaction time over total recording time (Perc);the average duration of individual interactions (Dur);the number of interactions per hour (Num). To demonstrate the clinical validity of the technology, egocentric measures were correlated with validated clinical assessments of hand function and independence (Graded Redefined Assessment of Strength, Sensibility and Prehension - GRASSP, Upper Extremity Motor Score - UEMS, and Spinal Cord Independent Measure - SCIM). Hand-object interactions were automatically detected with a median F1-score of 0.80 (0.67-0.87). Our results demonstrated that higher UEMS and better prehension were related to greater time spent interacting, whereas higher SCIM and better hand sensation resulted in a higher number of interactions performed during the egocentric video recordings. For the first time, measures of hand function automatically estimated in an unconstrained environment in individuals with tetraplegia have been validated against internationally accepted measures of hand function. Future work will necessitate a formal evaluation of the reliability and responsiveness of the egocentric-based performance measures for hand use. © 2022, CC BY-NC-ND.

关键词： Video recording

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Technological perspective on innovation, development and change in response to Covid-19: A scientometric research

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AIP Conference Proceedings 2023年第1期2646卷

作者： S. R. Mubaroq A. G. Abdullah A. Setiawan I. Widiaty M. A. Dhina Technical and Vocational Education Program Graduate School Universitas Pendidikan Indonesia Bandung Indonesia Department of Electrical Engineering Education Universitas Pendidikan Indonesia Bandung Indonesia Department of Mechanical Engineering Education Universitas Pendidikan Indonesia Bandung Indonesia Department of Family Welfare Education Universitas Pendidikan Indonesia Bandung Indonesia Faculty of Mathematics and Natural Sciences Universitas Al-Ghifari Bandung Indonesia

This research aims to obtain an overview of innovation, development and change in response to Covid-19 *** schools, especially from a technology perspective. Thus, a foothold is obtained in developing and improving educational models in vocational education during the post-pandemic with a two-sided approach, namely social and technical. This research uses a scientometrics approach, that uses data from the Clarivate Analytics' Web of Science (WOS) Core Collection and the Scopus Elsevier database. Data analysis was performed using VOSviewer (version 1.6.13) and Histcite. The results of the analysis are from 94 articles used as datasets. After filtering and adjusting the articles, it was found that innovation, development and technological change in vocational education as a response to COVID-19 are the media and methods in learning. The next research and study that becomes the main focus of vocational education from a socio-technical point of view is the social impact of the COVID-19 pandemic. It is the great potential for increasing unemployment. As a result, the answers/solutions are obtained for these impacts. This article concludes with a discussion of the implications and limitations of the study.

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5th International Conference on engineering, Applied Sciences and Technology, ICEAST 2019

作者： Sodsri, Chukiet Department of Electrical Engineering Faculty of Engineering and Industrial Technology Sanam-chadra Palace Campus Amphur Muang Nakhonpathom Thailand Graduate Program in Acoustic Design and Sonic Arts Graduate School Silpakorn Univesity Sanam-chadra Palace Campus Amphur Muang Nakhonpathom Thailand

ISBN: (纸本)9781728100678

Musical note similarities are usually verified by subjective tests and timbre comparisons. However, for one with no background in frequency analysis and without spectral clue in spectral comparison, it might not be easy for one to see how similar two sounds are. This work proposed a simple index for similarity measurement of musical notes, based on psychoacoustics of pitch and loudness perception, called musical note similarity index (MNSI). It was intended to use as a clue for spectral comparison and defined as a subtraction inverse of normalized summation of penalty weights for each harmonic amplitude and frequency exceeding the just noticeable differences (JNDs). Experiments were done and results were statistically analyzed. The correlation and t-test analysis showed that the MNSIs were well correlated with the subjective evaluations of sound similarity. Statistically, the Pearson correlation coefficient of the test was 0.9396 with 99% confidence. © 2019 IEEE.

关键词： Psychoacoustic

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Spike detection and sorting with deep learning

Spike detection and sorting with deep learning

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作者： Rácz, Melinda Liber, Csaba Németh, Erik Fiáth, Richárd Rokai, János Harmati, István Ulbert, István Márton, Gergely Department of Electrical Engineering and Informatics Budapest University of Technology and Economics Budapest Hungary Faculty of Information Technology and Bionics Pázmány Péter Catholic University Budapest Hungary Institute of Cognitive Neuroscience and Psychology Research Centre for Natural Sciences Hungarian Academy of Sciences Budapest Hungary Doctoral School on Materials Sciences and Technologies Ͽ buda University Budapest Hungary Károly Rácz School of PhD Studies Semmelweis University Budapest Hungary

Objective. The extraction and identification of single-unit activities in intracortically recorded electric signals have a key role in basic neuroscience, but also in applied fields, like in the development of high-accuracy brain-computer interfaces. The purpose of this paper is to present our current results on the detection, classification and prediction of neural activities based on multichannel action potential recordings. Approach. Throughout our investigations, a deep learning approach utilizing convolutional neural networks and a combination of recurrent and convolutional neural networks was applied, with the latter used in case of spike detection and the former used for cases of sorting and predicting spiking activities. Main results. In our experience, the algorithms applied prove to be useful in accomplishing the tasks mentioned above: our detector could reach an average recall of 69%, while we achieved an average accuracy of 89% in classifying activities produced by more than 20 distinct neurons. Significance. Our findings support the concept of creating real-time, high-accuracy action potential based BCIs in the future, providing a flexible and robust algorithmic background for further development. © 2020 IOP Publishing Ltd.

关键词： Forecasting

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Development and Validation of High-Performance Soil-Cement Panels: A Sustainable and Economical Alternative for Civil Construction

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Buildings 2025年第10期15卷 1697-1697页

作者： Bernat Vinolas Prat Demisson Renato Ferreira Luis Guilherme Monteiro Oliveira João Vinícios Wirbitzki da Silveira Frank Alisson De Carvalho Marcus Vinícius Felix Ellem Eva Augusto Rocha José Domingos Fabris Alexandre Christófaro Silva Institute of Science and Technology Faculty of Science and Technology Federal University of Jequitinhonha and Mucuri Valleys Campus JK Diamantina 39100000 MG Brazil Institute of Science Engineering and Technology Faculty of Civil Engineering Federal University of Jequitinhonha and Mucuri Valleys Campus Mucuri Teófilo Otoni 39803371 MG Brazil Polytechnic Institute Department of Electrical Engineering Pontifical Catholic University of Minas Gerais Belo Horizonte 30535901 MG Brazil Institute of Science and Technology Chemical Engineering Federal University of Jequitinhonha and Mucuri Valleys Campus JK Diamantina 39100000 MG Brazil Department of Forestry Engineering Postgraduate Program in Forestry Science in the Theme of Ecological Restoration Federal University of the Jequitinhonha and Mucuri Valleys Campus JK Diamantina 39100000 MG Brazil Vice-Rector of Administration Construction Projects Division Federal University of the Jequitinhonha and Mucuri Valleys Campus JK Diamantina 39100000 MG Brazil Institute of Exact Sciences Department of Chemistry ICEx Federal University of Minas Gerais Pampulha Campus Belo Horizonte 31270901 MG Brazil Department of Forestry Engineering Faculty of Forestry Engineering Federal University of Jequitinhonha and Mucuri Valleys Campus JK Diamantina 39100000 MG Brazil

Despite its advantages, conventional soil-cement has limitations in terms of mechanical strength and durability, especially in environments with high humidity or high structural demands. The development of high-performance soil-cement (HPSC) presents significantly superior mechanical properties. The decentralized production of these panels has resulted in a cost reduction of more than 40%, making them an affordable alternative for low-income communities. Even so, providing technical support for the popularization of HPSC is crucial for the advancement of civil construction and to enable the expansion of affordable and sustainable housing for vulnerable communities. This study focuses on the development of a high-performance soil-cement panel, including its manufacturing process and the materials used. The panel was produced using Yellow Argisol soil, found locally in abundant quantities, modified with sand. Measurements of flexural strength and water absorption were carried out, together with a comparison of the strength of high-performance concrete (HPC) found in the literature. The developed panels present an average flexural strength of 6.71 MPa. Additionally, water absorption reached 5.99%, indicating the high performance of this material, which is comparable to high-performance concrete but more economical and sustainable. This contribution confirms the viability of transferring HPSC technology and highlights its social impact on civil construction.

关键词： concrete plates sustainability flexural strength water absorption

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Expanded Coverage Remote Control

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IOP Conference Series: Materials Science and engineering 2020年第1期852卷

作者： Hadian Satria Utama Tryas Honorris Indra Surjati Department Electrical of Engineering Faculty of Engineering Universitas Tarumanagara Graduate Program of Electrical Engineering Faculty of Industrial and Technology Universitas Trisakti

Remote control mostly uses infrared radiation for transmitting data to be received by the controlled electronic home appliances. Since infrared radiation transmission is line of sight by nature, it is not effective when the control is needed for larger coverage areas where there are obstructions between transmitter and receiver. This limitation inspired the design of the expanded coverage remote controller. In this design, Android application is used for user interface. The application uses internet for data transmission media, so that controlling from different rooms or very long distances can be achieved. The controller was designed for five infrared control signals. The electronic home appliances that can be controlled are air conditioners and television sets, using preset buttons on the application.

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Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models

arXiv

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arXiv 2022年

作者： Aubry, Jean-Francois Bates, Oscar Boehm, Christian Pauly, Kim Butts Christensen, Douglas Cueto, Carlos Gélat, Pierre Guasch, Lluis Jaros, Jiri Jing, Yun Jones, Rebecca Li, Ningrui Marty, Patrick Montanaro, Hazael Neufeld, Esra Pichardo, Samuel Pinton, Gianmarco Pulkkinen, Aki Stanziola, Antonio Thielscher, Axel Treeby, Bradley Van't Wout, Elwin Physics for Medicine Paris INSERM U1273 ESPCI Paris PSL University CNRS UMR 8063 France Department of Bioengineering Imperial College London Exhibition Road LondonSW7 2AZ United Kingdom Institute of Geophysics ETH Zürich Sonneggstrasse 5 Zürich8092 Switzerland Department of Radiology Stanford University StanfordCA United States Department of Biomedical Engineering Department of Electrical and Computer Engineering University of Utah United States Department of Surgical Biotechnology Division of Surgery and Interventional Science University College London LondonNW3 2PF United Kingdom Earth Science and Engineering Department Imperial College London London United Kingdom Centre of Excellence IT4Innovations Faculty of Information Technology Brno University of Technology Bozetechova 2 Brno612 00 Czech Republic Graduate Program in Acoustics The Pennsylvania State University University Park PA16802 United States Joint Department of Biomedical Engineering University of North Carolina at Chapel Hill North Carolina State University NC United States Department of Electrical Engineering Stanford University StanfordCA United States Zurich Switzerland Laboratory for Acoustics / Noise control Empa Swiss Federal Laboratories for Materials Science and Technology Dubendorf Switzerland Zurich Switzerland Radiology and Clinical Neurosciences Departments Cumming School of Medicine University of Calgary Canada Department of Applied Physics University of Eastern Finland Kuopio70211 Finland Department of Medical Physics and Biomedical Engineering University College London Gower Street LondonWC1E 6BT United Kingdom Technical University of Denmark Denmark Danish Research Center for Magnetic Resonance Copenhagen University Hospital Hvidovre Denmark Institute for Mathematical and Computational Engineering School of Engineering and Faculty of Mathematics Pontificia Universidad Catolica de Chile Santiago Chile

Computational models of acoustic wave propagation are frequently used in transcranial ultrasound therapy, for example, to calculate the intracranial pressure field or to calculate phase delays to correct for skull distortions. To allow intercomparison between the different modeling tools and techniques used by the community, an international working group was convened to formulate a set of numerical benchmarks. Here, these benchmarks are presented, along with intercomparison results. Nine different benchmarks of increasing geometric complexity are defined. These include a single-layer planar bone immersed in water, a multi-layer bone, and a whole skull. Two transducer configurations are considered (a focused bowl and a plane piston), giving a total of 18 permutations of the benchmarks. Eleven different modeling tools are used to compute the benchmark results. The models span a wide range of numerical techniques, including the finite-difference time-domain method, angular-spectrum method, pseudospectral method, boundary-element method, and spectral-element method. Good agreement is found between the models, particularly for the position, size, and magnitude of the acoustic focus within the skull. When comparing results for each model with every other model in a cross comparison, the median values for each benchmark for the difference in focal pressure and position are less than 10% and 1 mm, respectively. The benchmark definitions, model results, and intercomparison codes are freely available to facilitate further comparisons. Copyright © 2022, The Authors. All rights reserved.

关键词： Bone

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Corrigendum: Moving Next-Generation Phase-Field Models to BMS Applications -A Case Study that Confirms Professor Uzi Landau's Foresight [J. Electrochem. Soc., 171, 063507 (2024)]

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Journal of The Electrochemical Society 2024年第8期171卷 089002-089002页

作者： Tushar K. Telmasre Anthony César Concepción Suryanarayana Kolluri Lubhani Mishra Raghav S. Thiagarajan Aditya Naveen Matam Akshay Subramaniam Taylor R. Garrick Venkat R. Subramanian Materials Science and Engineering Program Texas Materials Institute The University of Texas at Austin Austin TX 78712 United States of America Walker Department of Mechanical Engineering The University of Texas at Austin Austin TX 78712 United States of America Battery Materials and Systems Research General Motors Global Research and Development Center Warren MI 48090 United States of America Chandra Department of Electrical and Computer Engineering The University of Texas at Austin Austin TX 78712 United States of America Energy Storage and Propulsion R&D and Manufacturing Engineering General Motors Technical Center Warren MI 48092 United States of America Affiliate Faculty Oden Institute for Computational Science and Engineering The University of Texas at Austin Austin TX 78712 United States of America

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