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STEM Education Conference (iSTEM-Ed), International

作者： Jaja Kustija Irgi Surya Muhammad Aqil Haibatul Akbar Diki Fahrizal Electrical Engineering Education Universitas Pendidikan Indonesia Bandung Indonesia Master of Tourism Study Program Universitas Pendidikan Indonesia Bandung Indonesia

ISBN: (数字)9798350365979

ISBN: (纸本)9798350365986

The function of STEM can help with the learning process, including practicums, one of which is used in the remote laboratory. Practicum is a vital part of the learning process, particularly in the sciences and technology. A successful practicum demands a balance of equipment between the number of tools and participants, but in practice, the number of participants frequently considerably outnumbers the number of tools. One approach is to provide a remote laboratory that can be accessible from anywhere as long as it is connected to the internet and has a flexible schedule. The remote laboratory is made up of four major components: a server (which includes a computer or laptop), a processor, an actuator, and a camera. The second component is the internet device, the third is the user, and the fourth component is the software, which in this case includes ThinVNC, ngrok, and the given GUI. The remote laboratory requires assistance from all STEM elements in terms of compiling materials with a science approach, utilizing modern technology tools and requiring engineering to integrate them, as well as the role of mathematics in terms of using experimental data for statistical analysis. According to the findings of the STEM-based remote laboratory experiment, it provides the following benefits: It can bridge the gap between the number of tools and the number of users, give ease of scheduling, user access, and delivering materials, assignments.

关键词： Remote laboratories Schedules Mechatronics Portable computers Statistical analysis Education Software

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Digital Technology Integration in TVET for Tourism: A Case Study for an Android-Based Application Development and Implementation

Digital Technology Integration in TVET for Tourism: A Case S...

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STEM Education Conference (iSTEM-Ed), International

作者： Muhammad Aqil Haibatul Akbar Diki Fahrizal Jaja Kustija Irgi Surya Master of Tourism Study Program Universitas Pendidikan Indonesia Bandung Indonesia Electrical Engineering Education Universitas Pendidikan Indonesia Bandung Indonesia

ISBN: (数字)9798350365979

ISBN: (纸本)9798350365986

This research develops an Android-based tourist information and guide service application, aimed at enhancing digital adaptation in Technical Vocational Education and Training (TVET) sector of the tourism industry. Utilizing the Research and Development (R&D) approach, this project adopts the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model to systematically develop and evaluate the application. The research involved 330 end-users and 50 tourism management professionals across various tourist destinations in West Java as the primary population and sample. Data were gathered using performance evaluations and user feedback surveys to assess the application's impact on enhancing human resource competencies within the tourism sector. The findings demonstrate that the application significantly improves service quality and operational efficiency, fosters digital fluency among tourism professionals, and enhances employment opportunities through better resource management and visitor engagement. This underscores the critical role of integrating IT, Big Data, and artificial intelligence in revolutionizing tourism services.

关键词： Training Surveys Correlation Federated learning Tourism industry Information management Proposals

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Model Predictive Control of a Z-Source Power Converter for Wireless Power Transfer Applications

Model Predictive Control of a Z-Source Power Converter for W...

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2021 IEEE Southern Power Electronics Conference, SPEC 2021

作者： Piedrahita-Echavarria, E.Y. Escobar-Mejia, A. Gil-Gonzalez, W.J. Universidad Tecnológica de Pereira Electrical Engineering Master Program Pereira Colombia Institución Universitaria Pascual Bravo Electrical Engineering Program Medellín Colombia

ISBN: (纸本)9781665436236

This paper presents a Model Predictive Control (MPC) algorithm applied to a Z-Source Inverter (ZSI), used in Wireless Power Transfer Systems (WPTs). The suggested control scheme is based on measurements of the ZSI capacitor voltage and the current load, to predict and tracking them in order to maintain the output voltage at the desired value. The modeling of the converter, along with the compensation circuit, the control scheme, and the PWM, are presented. Time-domain simulations are carried-out to validate the MPC-based scheme, which is compared with a Linear Quadratic Regulator (LQR). © 2021 IEEE.

关键词： Pulse width modulation

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Performance Evaluation of Coffee Bean Binary Classification Through Deep Learning Techniques 1

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International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2022

作者： Islamy, Fajrul Muchtar, Kahlil Arnia, Fitri Dawood, Rahmad Febriana, Alifya Elwirehardja, Gregorius Natanael Pardamean, Bens Department of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department Master of Computer Science Program BINUS Graduate Program Bina Nusantara University Jakarta11480 Indonesia

ISBN: (数字)9783031290787

ISBN: (纸本)9783031290770

Coffee beans are one of the high-value commodities in Indonesia, but the sorting method for the quality of coffee beans still uses visual methods and sieves with mechanical machines. This study aims to provide an alternative to classifying coffee beans using Deep Learning algorithms, such as the ResNet-18 and MobileNetV2. The dataset used is USK-COFFEE which consists of two classes, the normal coffee bean class, and the defect coffee bean class. The models were trained using the balanced and imbalanced datasets, meaning that two scenarios were performed. From the results of this study, the accuracy value for the ResNet-18 model was 91.50% when trained on the balanced dataset and 90.87% on the imbalanced dataset. It outperformed the MobileNetV2 architecture, which only achieved 0.8125 and 0.8112 accuracy scores when trained on the balanced and imbalanced datasets, respectively. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Computer vision

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A ShuffleNet Architecture-Based Multi-Layer Feature Scaling and Fusion Approach for Underwater Net Cage Damage Detection in Aquaculture

A ShuffleNet Architecture-Based Multi-Layer Feature Scaling ...

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IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)

作者： Xiang-Rui Huang Yi-Cheng Chen Liang-Bi Chen Wu-Chih Hu Department of Electrical Engineering Master Program in Electrical Engineering and Computer Science National Penghu University of Science and Technology Penghu Taiwan Department of Computer Science and Information Engineering National Penghu University of Science and Technology Penghu Taiwan

ISBN: (数字)9798331530839

ISBN: (纸本)9798331530846

In offshore aquaculture operations, personnel equipped with diving gear are often necessary to inspect the underwater net cages for damage, particularly on the sea floor. This manual inspection process is time-consuming and complex. To overcome this problem, this paper proposes a computer vision solution for identifying damage in underwater net cages to address the inefficiencies and challenges of traditional manual inspections. The proposed scheme utilizes a high-performance multi-branch computational architecture designed based on ShuffleNet architecture to detect net cage damage more efficiently. Experimental results demonstrate that this work performs well on the ImageNet ILSVRC-2010 dataset and achieves an accuracy of 88.54% in underwater net damage detection.

关键词： Accuracy Gears Computational modeling Sea floor Computer architecture Manuals Inspection Feature extraction Personnel Aquaculture

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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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Low-Power Current-Starved Digitally-Controlled Oscillator for Phase-Locked Loop in Battery- Powered Devices 8

Low-Power Current-Starved Digitally-Controlled Oscillator fo...

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8th International Conference on electrical engineering and Informatics, ICEEI 2021

作者： Madya Putra, Tengku Ahmad Adiono, Trio Master's Program in Electrical Engineering Institut Teknologi Bandung Bandung Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9781665405560

The demand for IoT SoCs with low power and high precision internal oscillators is greatly increasing. This paper presents a design of digitally controlled oscillator which has low power consumption suitable for use in phase-locked loop inside battery-powered devices. The design incorporates current-starved logic buffers in ring configuration to produce oscillating logic signal as clock source. The circuit has been implemented and fabricated in 180-nm CMOS technology. The measured fabricated chip achieves frequency range from 1.1 MHz to 200 MHz. The power consumption is very low that only consumes 872 μW at maximum frequency and 59.4 μW at minimum frequency. © 2021 IEEE.

关键词： Phase locked loops

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Improving Accuracy of Object Quantity and Text-Image Alignment Based on the Stable Diffusion Pretrained Model

Improving Accuracy of Object Quantity and Text-Image Alignme...

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IEEE International Conference on Orange Technologies (ICOT)

作者： An-Chao Tsai Yu-Min Hsu Jhing-Fa Wang International Master Program of Information Technology and Application National Pingtung University Taiwan Department of Electrical Engineering National Cheng-Kung University Tainan Taiwan

ISBN: (数字)9798331523602

ISBN: (纸本)9798331523619

In recent years, advancements in training methods using large-scale text-image datasets and the development of diffusion models have significantly improved the quality and efficiency of image generation from text prompts. Despite these strides, text-to-image generation models still face challenges in producing realistic images that accurately reflect the specified details in the prompts. A common issue with diffusion-based models is their difficulty in generating the precise number of objects described in the text. For instance, a prompt like "six tomatoes in a basket" may often result in an image with an incorrect number of tomatoes. To address this problem, this paper proposes an algorithm designed to enhance the accuracy of object quantity in generated images. The algorithm employs an object counting network to assess the number of objects in a given image and calculates the error between this predicted count and the expected count. This error gradient is then used to guide the predictions of the diffusion model, improving its ability to generate the specified number of objects accurately.

关键词： Training Adaptation models Accuracy Image synthesis Text to image Diffusion models Prediction algorithms Social implications of technology Faces

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Review of “Numerical Methods in Environmental Data Analysis” by Moses Eterigho Emetere

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Journal of Agricultural, Biological and Environmental Statistics 2023年第3期29卷 645-647页

作者： Mudarris, Mudarris Permatasari, Desy Master’s Program in Electrical Engineering Department of Electrical Engineering and Information Technology Faculty of Engineering Universitas Gadjah Mada Yogyakarta Indonesia Department of Chemistry Faculty of Mathematics and Natural Sciences Universitas Gadjah Mada Yogyakarta Indonesia

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Robust optimization of power system stabilizer parameters based on pole placement 18

Robust optimization of power system stabilizer parameters ba...

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18th International Conference on electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2021

作者： Panyarat, Thanon Uatrongjit, Sermsak Chiang Mai University Faculty of Engineering Master Degree Program in Electrical Engineering Thailand Electrical Generating Authority of Thailand Thailand Chiang Mai University Faculty of Engineering Department of Electrical Engineering Thailand

ISBN: (纸本)9780738111278

This paper presents a new approach based on pole-placement technique for robust optimization of power system stabilizer (PSS) parameters. The parameters design is formulated as an optimization problem aimed for adjusting all system poles to be in the specific region of s-plane. It is then solved by using the genetic algorithm. The proposed method has been implemented in MATLAB environment and applied to the single machine infinite bus (SMIB) model. The preliminary results from simulation show that the proposed parameter optimization technique can further enhance the power oscillation damping compared to the conventional approach. © 2021 IEEE.

关键词： Genetic algorithms

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