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Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)

作者： Muhammad Ilhamdi Rusydi Elita Amrina Yoan Winata Salisa 'Asyarina Ramadhani Riko Nofendra Electrical Engineering Department Engineering Faculty Program of Engineer Professional Education Graduate School Universitas Andalas Padang Indonesia Industrial Engineering Department Engineering Faculty Program of Engineer Professional Education Graduate School Universitas Andalas Padang Indonesia Electrical Engineering Department Engineering Faculty Universitas Andalas Padang Indonesia

Brain-Computer Interface (BCI) is a technique that uses real-time brain impulses to connect with and control external devices. BCI provides a new method for controlling external devices by translating brain signals into computer commands, facilitating the daily lives of people with disabilities and enhancing their ability to exhibit expected behavior. A Brain-Computer Interface (BCI) system based on Electroencephalography (EEG) was built to control the robotic arm. The EEG signals utilized included both eyes blinking, the right eye, the left eye, and the jaw contraction. EEG data were recorded from seven healthy subjects. The threshold approach is used to classify EEG signals, with the feature employed being the amplitude of the EEG signal. The highest threshold value for the blinking signal was 0.6 mV with an accuracy of 97.9%, while the best threshold value for jaw contraction was 0.4 mV with an accuracy of 93.34 percent. The healthy, inexperienced participants took part in system testing. The total results of testing each robot movement yielded an overall success rate of 84.52 percent. Therefore, it was determined that the system could facilitate the operation of the length robot even if the user lacked prior experience with EEG-based systems.

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Radiation Degradation Evaluation of the Dynamic Configuration Circuit on An Optically Reconfigurable Gate Array VLSI

Radiation Degradation Evaluation of the Dynamic Configuratio...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Seiji Ohashi Minoru Watanabe Nobuya Watanabe Information Technology Track Information Technology Electrical Engineering and Mathematical and Data Sciences Program Faculty of Engineering Okayama University Kita-ku Okayama Japan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

The Fukushima Daiichi Nuclear Power Plant was melted down by the earthquake and tsunami in 2011. The decommissioning tasks must be executed under a high radiation intensity. For the tasks, we have been developing a radiation-hardened optically reconfigurable gate array with 1 Grad total-ionizing-dose tolerance. In this device, dynamic optical parallel configuration architecture was introduced to increase the radiation tolerance. However, the radiation degradation evaluation has never been done up to now. This paper presents the first evaluation results of the dynamic optical parallel configuration circuit on an optically reconfigurable gate array VLSI.

关键词： Integrated optics Degradation Earthquakes Very large scale integration Logic gates Tsunami Power generation Field programmable gate arrays Consumer electronics Optical arrays

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Adaptive Neuro-Fuzzy Inference System As New Real-Time Approach for Parkinson Seizures Prediction 4

Adaptive Neuro-Fuzzy Inference System As New Real-Time Appro...

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4th International Conference on Bio-engineering for Smart Technologies, BioSMART 2021

作者： Daher, Alaa Yassin, Sally Alsamra, Hadi Ali, Hassan Abou Beirut Arab University Biomedical Engineering Program Faculty of Engineering Electrical and Computer Engineering Department Debbieh Lebanon

ISBN: (纸本)9781665408103

Parkinson's disease, as a definition, is a neurological condition that affects the brain and causes tremors, stiffness, and difficulties walking, balancing, and coordinating. Symptoms of Parkinson's disease normally appear gradually and worsen with time. People with Parkinson's disease may have difficulties walking and speaking as the condition develops. Numerous recent studies have shown a direct association between Parkinson's disease and the incident of having epileptic seizures, which is defined to be a burst of the uncontrollable electrical activity of the brain cells, that is associated with an increased risk of sudden unexplained deaths. This project aims to obtain a real-time seizure prediction system for Parkinson's disease patients based on the electroencephalogram (EEG) signals, enabling the detection of a seizure before it happens. This will hopefully save them from risky situations or sudden death, as they will be alerted and have the time enabling them to be prepared and take the needed precautions and steps to prevent the seizure from happening. For this project, we've used the Neural Network and the ANFIS ('udaptive neuro-fuzzy inference system '') to process and analyze the electroencephalogram (EEG) data signals of the Parkinson patients to detect seizures starting point. © 2021 IEEE.

关键词： Brain

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Thermal Management of Photovoltaic Module Using Affordable Organic Phase Change Material Combined with Nano Metal Oxide Particles Enhancer

SSRN

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SSRN 2024年

作者： Phukaokaew, Wisanu Suksri, Amnart Wongwuttanasatian, Tanakorn Energy Engineering Program Faculty of Engineering Khon Kaen University Thailand Electrical Engineering Division Faculty of Engineering Khon Kaen University Thailand Mechanical Engineering Division Faculty of Engineering Khon Kaen University Thailand Centre for Alternative Energy Research and Development Khon Kaen University Thailand

The utilisation of cooling systems based on phase change materials has experienced a surge in popularity due to their ability to effectively reduce the temperature of photovoltaic (PV) modules. Phase change materials (PCMs) have been widely recognised as a highly efficient medium for thermal energy storage due to their ability to harness latent heat capacity. The low thermal conductivity of the material has been identified in many studies. In the current investigation, we have blended PCM with nanoparticles to enhance its thermal conductivity and electrical efficiency. We produce nanoparticle composited phase change materials (nc-PCMs) by combining lauric acid (LA) with three different nanoparticles: aluminum oxide (Al2O3), copper oxide (CuO), and magnesium oxide (MgO), in an optimal weight proportion of 94: 6. Lauric acid and these nanoparticles are chosen based on their ability to provide a significantly lower cost compared to commercial nanoparticles. Research has demonstrated that the incorporation of nanoparticles increases thermal conductivity, resulting in a decrease in the PV module's temperature. The findings indicate that a combination of LA and MgO in a proportion of 94: 6 constitutes the optimal nc-PCM. This composition demonstrated a 5.2 °C reduction in PV module temperature, which resulted in a notable enhancement in the average electrical efficiency of 14.11%. Furthermore, the power output increased significantly to 14.18%. © 2024, The Authors. All rights reserved.

关键词： Phase change materials

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Analyzing the use of SEO and Google Analytic on the Website of Vocational High School of Information Technology Annajiyah 3

Analyzing the use of SEO and Google Analytic on the Website ...

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3rd International Conference on electrical, Electronics, Informatics, and Vocational Education, ICE-ELINVO 2020

作者： Supraba, L.D. Jati, H. Electrical and Informatics Engineering Education Study Program Faculty of Engineering Yogyakarta State University Indonesia

The number of Islamic boarding school teaching both Information Technology (IT) Education and Religious Education is still limited. Vocational High School of Information Technology Annajiyah located in Tambakberas, Jombang, East Java is a school having both subjects taught. The existence of Vocational High School of Information Technology Annajiyah has not been widely known by outside and inside society of Jombang Regency. Therefore, Therefore, analysis of the use of SEO is necessary to determine the potential of website visit and school promotion. Previously, Vocational High School of Information Technology Annajiyah promoted school by using brochures only. This method was considered able to introduce the school through traditional way. Analysis result of improving SEO can be seen in Google Analytic recorded a number of site visits amounted 403 in June, where 82.2% of active users are dominated by mobile phone users and fluctuation of the number of visits. This increase is affected by both the implementation of SEO and online PPDB process during the COVID pandemic. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Websites

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Exploring the Impact of Word Embedding Dimensions on Depression Data Classification Using BiLSTM Model

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Procedia Computer Science 2023年 227卷 298-306页

作者： Merinda Lestandy Abdurrahim Department of Electrical Engineering Faculty of Engineering Universitas Muhammadiyah Malang Malang 65144 Indonesia Informatics Master Program Faculty of Industrial Technology Universitas Islam Indonesia Yogyakarta 55584 Indonesia

Depression is a mental health issue that impacts over 300 million individuals worldwide. Daily anxiety impacts the relationships of depressed individuals with their family and friends, affects their health, and, in the worst-case scenario, leads to suicide. Due to the an increase of social networks, a vast majority of people now express their thoughts, feelings, and emotions via social media. The researchers mainly focused on features and building predictions, making it difficult for them to detect depression via social media. Word embedding offers a potential solution for processing and transforming unstructured data into meaningful representations. Embedded words represent textual data as numeric numerals with equivalent meaning. Using the Bidirectional Long Short-Term Memory (Bi-LSTM) paradigm, this investigation attempts to experiment with various weighting dimensions using the Word2Vec and GloVe methods. The data used is Depression: Reddit Dataset labelled: depressed and non-depressed. The experimental results of word weight dimensions using Word2Vec with a dimension of 500 are better than Glove. The results of accuracy, precision, recall and f1-score for the Word2Vec method were 96.22%, 97.02%, 95.30% and 96.15%, while the Glove method was 95.91%, 96.40%, 95.30% and 95.85% with a dimension of 200. Overall, Word Embedding Dimensions influences the results of this study. Based on these findings, it is concluded that the proposed Word2Vec method is a significant approach.

关键词： Social Media Depression Word Embedding BiLSTM

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Thermal Management of Photovoltaic Module Using Affordable Organic Phase Change Material Combined with Nano Metal Oxide Particles Enhancer

SSRN

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SSRN 2024年

作者： Phukaokaew, Wisanu Suksri, Amnart Punyawudho, Konlayutt Wongwuttanasatian, Tanakorn Energy Engineering Program Faculty of Engineering Khon Kaen University Thailand Electrical Engineering Division Faculty of Engineering Khon Kaen University Thailand Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Thailand Mechanical Engineering Division Faculty of Engineering Khon Kaen University Thailand Centre for Alternative Energy Research and Development Khon Kaen University Thailand

The utilization of cooling systems based on phase change materials has experienced a surge in popularity due to their ability to effectively reduce the temperature of photovoltaic (PV) modules. Phase change materials (PCMs) have been widely recognized as a highly efficient medium for thermal energy storage due to their ability to harness latent heat capacity. The low thermal conductivity of the material has been identified in many studies. In the current investigation, we have blended PCM with nanoparticles to enhance its thermal conductivity and electrical efficiency. We produce nanoparticle composited phase change materials (nc-PCMs) by combining lauric acid (LA) with three different nanoparticles: aluminum oxide (Al2O3), copper oxide (CuO), and magnesium oxide (MgO), in an optimal weight proportion of 94: 6. Lauric acid and these nanoparticles are chosen based on their ability to provide a significantly lower cost compared to commercial nanoparticles. Research has demonstrated that the incorporation of nanoparticles increases thermal conductivity, resulting in a decrease in the PV module's temperature. The findings indicate that a combination of LA and MgO in a proportion of 94: 6 constitutes the optimal nc-PCM. This composition demonstrated a 5.2 °C reduction in PV module temperature, which resulted in a notable enhancement in the average electrical efficiency of 14.11%. Furthermore, the power output increased significantly to 14.18%. © 2024, The Authors. All rights reserved.

关键词： Aluminum oxide

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Diode-Clamped Linear Amplifier using Only n-channel MOSFETs Applied Separated Gate Drivers

Diode-Clamped Linear Amplifier using Only n-channel MOSFETs ...

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International Conference on Renewable Energy Research and Applications (ICRERA)

作者： Tomoya Sasanuma Shuto Yagawa Hirohito Funato Graduate program in Information Electrical and Electronic Systems Engineering Utsunomiya University Utsunomiya Japan Faculty of Engineering Utsunomiya University Utsunomiya Utsunomiya Japan

ISBN: (数字)9798350375589

ISBN: (纸本)9798350375596

This paper proposes a diode-clamped linear amplifier (DCLA) using only n-channel MOSFETs applied by separated gate drive circuits. Conventional DCLA uses the source follower function of MOSFETs and therefore require an n-channel MOSFETs and a complementary p-channel MOSFETs. In addition, high voltage reference signals are required due to unity voltage gain. The proposed DCLA can be composed of only n-channel MOSFETs and directly controls the gate-source voltage of the MOSFETs resulting in low voltage drive signals. In this paper, the proposed circuit was experimentally verified using voltage feedback control, and it was confirmed that the efficiency was improved compared to conventional circuits and that the THD of the output voltage was approximately 2%.

关键词： MOSFET Low voltage Renewable energy sources Reactive power Circuits Logic gates Gate drivers Voltage control Integrated circuit modeling Optimization

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Characteristics of Switched Reluctance Motor Using Operating Area Expandable Drive Circuit in Unexpanded Operating Area

Characteristics of Switched Reluctance Motor Using Operating...

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International Conference on electrical Machines and Systems (ICEMS)

作者： Taisei Ishizawa Ryuya Sugai Hiroki Goto Hirohito Funato Graduate program in Information Electrical and Electronic Systems Engineering Utsunomiya University Japan Utsunomiya University Japan Faculty of Engineering Utsunomiya University Japan

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

In driving switched reluctance (SR) motors at high speeds, it is necessary to apply a high voltage during excitation and demagnetization. To clarify the usefulness of the proposed drive circuit, this paper focuses on the reduction of copper loss in motors and confirms the effect of copper loss reduction by comparing it with the conventional drive circuit. We also focused on capacitor voltage fluctuations caused by resonance phenomena and examined the effect of increasing torque by actively utilizing resonance phenomena.

关键词： Torque Voltage fluctuations Fluctuations Switches Switched reluctance motors Drives Motors Capacitance Resonance Copper

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Analysis of the effect of charge and discharge LiFePO4 batteries using BMS with and without Active balancer

Analysis of the effect of charge and discharge LiFePO4 batte...

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2022 International electrical engineering Congress, iEECON 2022

作者： Muangjai, Worrajak Aroonchai, Thanakit Somsak, Teerasak Ngaodet, Montri Oranpiroj, Kosol Thongpron, Jutturit Rajamangala University of Technology Lanna Electrical Engineering Program Faculty of Engineering Chiang Mai Thailand Rajamangala University of Technology Lanna Collage of integrated science and technology Chiang Mai Thailand

ISBN: (纸本)9781665402064

The purpose of this research was to study the behavior of battery management systems (BMS) and to study the effect of charge and discharge of batteries using BMS with and without Active balancer. 1) Comparison of BMS case behavior and 2) Battery performance when BMS is connected to Active balancer. The experiments were divided into two methods, charge and discharge in the BMS only, and compared with systems with Active balancer, by determining current. Fixed in the experiment at a battery charge of 0.2-1C (1-5A), then the results of the two experiments were compared and analyzed on the advantages and disadvantages of the system. Research has shown that systems with Active balancer have a more significant effect on a battery charge than systems without Active balancer and the most efficient in use at 0.4C (2A). © 2022 IEEE.

关键词： Lithium compounds

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