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IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)

作者： Dananjaya Ariateja Ria Aprilliyani Herwin Melyanus Hutapea Edy Sulistyadi Muhammad Yasir Zain Amelia Chandra Pratiwi Faculty of Defense Science and Technology Universitas Pertahanan Republik Indonesia Bogor Indonesia National Defense Development Institute Universitas Pertahanan Republik Indonesia Bogor Indonesia Faculty of Engineering Universitas Madura Informatics Study Program Madura Indonesia

ISBN: (数字)9798331542016

ISBN: (纸本)9798331542023

Border and Inland areas are often faced with communication problems due to limited infrastructure and extreme geographical conditions. This research has produced three APRS-based communication system devices in border and inland areas that can be used to report emergency positions, namely Tracker, Digipeater, and Internet Gateway (IGate). Two APRS testing scenarios were conducted, namely sending beacons from Tracker and Ground Station, and sending beacons from Tracker, Digipeater, and Ground Station. The first scenario test results recorded a maximum distance of 2.36 kilometers (straight line) for sending and receiving information. Meanwhile, the second scenario test results can send and receive information with a maximum distance of 4.21 kilometers (straight line). This result confirms that the range of sending information signals using the digipeater device can expand the range of receiving information up to two times. Based on these results, the second scenario between Tracker, Digipeater, and Ground Station is more effectively used to increase communication coverage in border and inland areas.

关键词： Meters Logic gates Aerospace electronics Internet Reliability Remote sensing Testing

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Adding Grid-Forming Capabilities to Superconducting Magnetic Energy Storage Systems

Adding Grid-Forming Capabilities to Superconducting Magnetic...

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IEEE Green Technologies Conference (IEEE-Green)

作者： A. Garces W. Gil-González O. D. Montoya Electrical Engineering Program Universidad Tecnológica de Pereira Pereira Colombia Faculty of Engineering Universidad Distrital Francisco José de Caldas Bogotá D.C. Colombia

This paper presents a modification of the conventional vector-oriented control for superconducting energy storage systems (SMES) integrated with pulse-width modulated current sources converter (PWM-CSC). This modification adds grid-forming capabilities to the converter via droop controls. In contradistinction to previous works, this paper presents a detailed model of both the modulation of the converter and the features of the power system. An extensive set of simulations was performed in a test system that includes renewable energy. These simulations demonstrate the advantages of the proposed control in stationary state mode.

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Analysis of the Groundwater Table of Theis's Formula Through the Analytical and Numerical Methods Combination for Time-Lapse Microgravity Modeling

SSRN

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SSRN 2024年

作者： Lestari, Mutia Dyah Dahrin, Darharta Abdurrahman, Dadi Azhari, Naila Yuni Faculty of Mining and Petroleum Engineering Institut Teknologi Bandung Jalan Ganesa 10 Bandung40132 Indonesia Geophysical Engineering Study Program Institut Teknologi Sumatera Jalan Terusan Ryacudu Desa Way Hui Lampung Selatan Kecamatan Jatiagung 35365 Indonesia

Massive and continuous well pumping can result in significant groundwater table decline, potentially leading to groundwater depletion and land subsidence over the long term. The timelapse microgravity method, an innovation in gravity measurement techniques, is currently widely used in hydrological applications, including groundwater table monitoring. Groundwater pumping induces changes in subsurface mass distribution, resulting in subsurface mass anomalies that can be detected using gravity method. Many previous studies have employed the slab Bouguer approach to estimate gravity anomalies due to groundwater table changes. This method has significant error for detail anomaly value of groundwater table, which is high decline near production wells. According to Theis formula, the groundwater table decline model as drawdown cone (inverted cone), which gravitational field is calculated. Therefore, calculated gravity anomaly must account for the drawdown cone shape. In this study, gravity anomaly calculations for groundwater drawdown cones are resolved by integrating triple integrals using cylindrical coordinates both analytical and numerical methods. The analytical calculation of integrating triple integrals can only be resolved for two variables (variable z and [[EQUATION]]), and for [[EQUATION]] variable is calculated using numerical methods with the trapezoidal rule. By making the trapezoidal step smaller for closer the well, it is expected this calculation has smaller errors. This study aims to provide more accurate gravity anomaly calculations in accordance with the conceptual model of groundwater table changes. This technique can be used to help groundwater management where monitoring wells is insufficient. © 2024, The Authors. All rights reserved.

关键词： Microgravity

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Mapping the Literature of Artificial Intelligence in Medical Education: A Scientometric Analysis 7th

Mapping the Literature of Artificial Intelligence in Medical...

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7th International Conference on Inventive Communication and Computaional Technologies, ICICCT 2023

作者： Maulana, Fairuz Iqbal Zaın, Muhammad Yasır Lestari, Dian Purnomo, Agung Adi, Puput Dani Prasetyo Computer Science Department Bina Nusantara University Jakarta11480 Indonesia Informatics Engineering Study Program University of Madura Pamekasan Indonesia Faculty of Medicine Universitas Airlangga Surabaya60132 Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Jakarta11480 Indonesia Telecommunication Research Center National Research and Innovation Agency Jakarta11480 Indonesia

ISBN: (纸本)9789819951659

This study aims to investigate the use of artificial intelligence in health education in the last ten years from 2012 to 2022 using the Scopus database. Researchers use bibliometric analysis combined with the quantification method of Vosviewer and Rstudio software used for literature analysis. The results of the article that were flushed showed data such as the year of publication, journal, country, keywords, and authors, to the highest number of citations. The general keywords used by researchers are artificial intelligence, medical, and education. Researchers limit findings through keywords as in the last ten years and English only so that 1681 articles were obtained. According to the study's findings, McGill University affiliation had the greatest number of papers, with 69 pieces, and medicine had a proportion of 39.7% (n = 1067). This bibliometric study will be useful for other researchers to examine the development of research on artificial intelligence in health education in the last ten years. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Medical education

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Multidimensional factors of community behavioral responses and implications to landfill closures: A case study in Yogyakarta, Indonesia

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Environmental Advances 2024年 16卷

作者： Suhardono, Sapta Fitria, Laili Suryawan, I Wayan Koko Ulhasanah, Nova Sari, Mega Mutiara Septiariva, Iva Yenis Prayogo, Wisnu Environmental Sciences Study Program Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Environmental Engineering Universitas Tanjungpura Pontianak 78124 Indonesia Department of Environmental Engineering Faculty of Infrastructure Planning Universitas Pertamina Jakarta 12220 Indonesia Department of Natural Resources and Environmental Studies College of Environmental Studies and Oceanography National Dong Hwa University Taiwan Hualien 97401 Taiwan Civil Engineering Study Program Faculty of Engineering Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Building Engineering Education Universitas Negeri Medan Medan Indonesia

This study examines how a community in Yogyakarta, Indonesia reacts to the closing of local landfills. It identifies different groups within the community, such as those primarily concerned with health and aesthetics, those exhibiting proactive behaviors, and those acutely aware of the broader impacts. These groups show varying responses to the closures, from adjusting personal habits to calling for policy changes. The findings suggest a need for policies that are flexible and considerate of the community's diverse priorities and behaviors. In conclusion, landfill closures have complex effects on communities that require a thoughtful analysis. The study shows that personal choices and proactive behaviors are crucial in encouraging community involvement in waste management. However, there's a hesitancy to pay more for such services, indicating a gap in community responsibility and environmental stewardship. The research advocates for sustainable waste management solutions that are aligned with the community's values and behaviors, urging policymakers to design inclusive and sustainable systems for waste management that support the long-term well-being of both the community and the environment. © 2024

关键词： Behavioral responses Community perceptions Indonesia Landfill closures Yogyakarta

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Human activities and forest fires in Indonesia: An analysis of the Bromo incident and implications for conservation tourism

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Trees, Forests and People 2024年 15卷

作者： Suhardono, Sapta Fitria, Laili Suryawan, I Wayan Koko Septiariva, Iva Yenis Mulyana, Rachmat Sari, Mega Mutiara Ulhasanah, Nova Prayogo, Wisnu Environmental Sciences Study Program Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Environmental Engineering Universitas Tanjungpura Pontianak 78124 Indonesia Department of Environmental Engineering Faculty of Infrastructure Planning Universitas Pertamina Jakarta 12220 Indonesia Department of Natural Resources and Environmental Studies College of Environmental Studies and Oceanography National Dong Hwa University Hualien 97401 Taiwan Civil Engineering Study Program Faculty of Engineering Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Building Engineering Education Universitas Negeri Medan Medan 20221 Indonesia

This study delves into the Bromo magnitude of the fire incident in Indonesia, a notable tourism destination, uncovering significant gaps in knowledge regarding tourist-induced forest fires. We comprehensively analyze the incident's environmental, economic, social, and tourism impacts. Environmentally, the fire caused severe damage to the region's ecosystems, upsetting ecological balances and diminishing air quality. This has far-reaching effects on flora, fauna, and the sustainability of natural resources. Forest fires release a significant amount of pollutants into the air, including carbon dioxide, carbon monoxide, particulate matter, and other harmful compounds. These pollutants can significantly degrade air quality, leading to health issues for humans and animals. The forest fire in the Bromo region of Indonesia had a profound impact, both economically and environmentally. The closure of the Bromo Tengger Semeru National Park drastically reduced tourism, leading to an 80 % drop in hotel occupancy and severe losses for local businesses like jeep rentals, eateries, and souvenir shops. Economically, this resulted in a significant decrease in Non-Tax State Revenue. Environmentally, the fire destroyed over 50 hectares of land, severely damaging the national park's ecosystems and affecting biodiversity. The smoke and heat from the fire also led to poor air quality and potential health risks for local residents, as well as adverse effects on nearby agriculture, increasing stress and anxiety in the community. The study emphasizes the urgent need for stringent regulations, effective community engagement, and educational initiatives in forest conservation areas, particularly those attracting tourists. Our findings offer critical insights for policymakers, local authorities, and stakeholders in the tourism sector, highlighting the necessity of balancing environmental protection with the growth of the global travel industry. © 2024 The Author(s)

关键词： Bromo incident Community engagement Conservation tourism Ecological consequences Environmental protection Forest fires Human-induced fires

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Multi Task Classification Using Deep Learning Approaches for Big Five Personality Traits Prediction: A Review

Multi Task Classification Using Deep Learning Approaches for...

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International Conference on Information Technology, Computer and electrical engineering (ICITACEE)

作者： Salamun Rohman Nudin Rahmat Gernowo Maman Somantri Adi Wibowo Doctoral Program of Information System School of Postgraduate Studies Diponegoro University Semarang Indonesia Department of Physics Faculty of Science and Mathematics Diponegoro University Semarang Indonesia Department of Electrical Engineering Faculty of Engineering Diponegoro University Semarang Indonesia Department of Informatics Faculty of Science and Mathematics Diponegoro University Semarang Indonesia

ISBN: (数字)9798350389302

ISBN: (纸本)9798350389319

This paper presents a comprehensive review of deep learning methods for the Big Five personality traits prediction using multi-task classification. The purpose of the review is to determine the performance of models developed in previous research to describe research opportunities and challenges in the future. The Big Five model is a framework in psychology that categorizes human personality into five dimensions: openness, conscientiousness, extraversion, agreeableness, and neuroticism. The review begins by analyzing 22 articles from the Science Direct, IEEE Xplore, and Scopus databases by applying screening using the Big Five Personality keywords. Then study the concepts of deep learning for model development such as: input, architecture, method, dataset, and performance to identify the strengths and limitations of each approach. The review results of the highest average accuracy by modality such as unimodal text with essay dataset (80.98 % ), unimodal image with ImageNet dataset (95.36%), unimodal audio with SSPNet dataset (79.48%), bimodal image and audio with Chalearn Video First Impression dataset (91.67 % ), multimodal text, image, and audio with Chalearn Video First Impression dataset (91.88%). The average accuracy of the Big Five Personality traits was highest (95.36 % ) and lowest (59 % ). This highlights the need for standard benchmarks, interpretable models and interdisciplinary collaboration to improve the accuracy, reliability and ethical implications of personality prediction. Future research is expected to pave the way for advancements in understanding human personality through deep learning approaches using other modalities such as EEG, GSR, and PPG.

关键词： Deep learning Accuracy Reviews Psychology Predictive models Brain modeling Multitasking Reliability Information technology Standards

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Smart Vest for Palliative Therapy of Metastatic Cancer Patients Using TENS Integrated with Thermotherapy, Aromatherapy, and Multimedia Based on the Internet of Things

Smart Vest for Palliative Therapy of Metastatic Cancer Patie...

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electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS)

作者： Nurussa'adah Muhamad Asyir Zarkasih Aryo Nabil Maulana Akmal Mulki Majid Christalenta Renata Dwi Aristawati Shalihat Azka Sabrina Dauletbay Sarsenbaev Ayaz Ali Soomro Department Electrical Engineering Universitas Brawijaya Malang Indonesia Study Program of Medicine Universitas Brawijaya Malang Indonesia Ministry of Energy of the Republic of Uzbekistan Uzbekistan Sindh Agriculture University Sub Campus Umerkot Pakistan

ISBN: (数字)9798350379914

ISBN: (纸本)9798350379921

There are 19.292.789 global cancer cases, with 9.958.133 fatalities. Lung cancer is the leading cause of death among men with 1.796.144 cases, and breast cancer is most prevalent in women with 684.996 cases. In Indonesia, there were 396.914 new cases and 234.511 deaths [1]–[2]. Metastatic cancer or stage 4 cancer, is characterized by highly aggressive cancer cells that have spread to other areas of the body. Approximately 60% of advanced cancer patients with pain struggle with daily activities, impacting sleep, and exacerbating emotional distress. Depression rates among cancer patients are three times higher than the general population. Addressing these challenges without medication, PALIAVEST integrates therapies like TENS, thermotherapy, aromatherapy, and multimedia with real-time ECG monitoring via IoT. Validated trials show high accuracy of ECG sensors more than 95% with 0.8% error and TENS therapy (2 Hz and 100 Hz) at over 95% with 0.52% error. PALIAVEST ensures consistent therapeutic temperatures, enhancing care reliability and promising better patient quality of life through comprehensive palliative approaches.

关键词： Temperature sensors Temperature distribution Accuracy Error analysis Electrocardiography Palliative care Real-time systems Reliability Monitoring Cancer

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Photovoltaic Microinverter with Hybrid Energy Storage System (HESS) and Virtual Impedance Control for Injection into a Microgrid

Photovoltaic Microinverter with Hybrid Energy Storage System...

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IEEE Annual Southern Power Electronics Conference (SPEC)

作者： Patricio Gaisse Javier Muñoz Marco Rivera Carlos Restrepo Galina Mirzaeva Engineering Systems Doctoral Program Faculty of Engineering University of Talca Curicó Chile Department of Electrical Engineering Faculty of Engineering Universidad de Talca Curicó Chile Doctorate in Engineering Systems Faculty of Engineering Universidad de Talca Curicó Chile School of Electrical Engineering and Computer Science The University of Newcastle Callaghan NSW Australia

In this work, a photovoltaic (PV) microinverter is developed, which includes an hybrid energy storage system based on a battery and an ultracapacitor that are connected in parallel to the dc-link through two buck-boost bidirectional converters. The PV panel is connected in parallel to dc-link through an unidirectional boost converter. For the dc-ac stage, a two-stage Flyback / H-bridge inverter will be considered, which will be used to inject the available power into a microgrid. The study proposes the necessary control strategies to manage the power flow according to generation and injection conditions, where a virtual impedance loop is incorporated in the control of the energy storage elements. The presented results confirm the suitability of the proposed strategy.

关键词： Photovoltaic systems Microgrids Hybrid power systems Batteries Circuit stability Topology Impedance

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The factors influencing digital literacy of vocational high school teachers in Yogyakarta 2

The factors influencing digital literacy of vocational high ...

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2nd International Conference on Vocational Education of Mechanical and Automotive Technology, ICoVEMAT 2019

作者： Warno, K. Study Program of Fashion Engineering Education Faculty of Engineering Universitas Negeri Yogyakarta Indonesia

The purpose of this study is to reveal the condition of teachers' digital literacy and the effect of the achievement motivation towards digital literacy among Tourism vocational teachers in Yogyakarta based on age generation, i.e the generation differences of Baby Boomers, X and Y. This research belongs to ex-post-facto with a quantitative approach. The research subjects were 130 teachers consisting of teachers from state tourism vocational schools in Yogyakarta. The results showed that the majority of digital literacy among tourism vocational teachers can be categorized as medium and the variable of achievement motivation plays a significant influence on digital literacy. Moreover, there was a significant influence from the facilities that were used by the teachers towards their digital literacy. Also, there were differences in teachers' digital literacy among teachers who were born in the baby boomers generation, X and Y generation. It means that the variable age generation of teachers can improve the digital literacy skills of vocational school teachers in the field of tourism. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Motivation

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