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7th International Conference on electrical engineering and Informatics, ICEEI 2019

作者： Mizard, Ariyq Naufal Aryani, Dwi Riana Verdianto, Ariono Hudaya, Chairul Faculty of Engineering Universitas Indonesia Department of Electrical Engineering Indonesia Energy System Engineering Master Study Program Faculty of Engineering Universitas Indonesia Kampus Baru UI Depok 16424 Indonesia

ISBN: (纸本)9781728124186

Conversion of fossil fuels as an energy source can be achieved by optimizing the use of renewable energy. One of the most used renewable energy is solar photovoltaics (PV). At present, solar power plant is an electrification support system for certain buildings because the abundant availability of solar radiation. On this research, Power and energy observations are carried out to determine measure the load power trend, the amount of energy flow from PV to the load, as well as import or export power from or to utility grid by direct measurement on Mosque of faculty of engineering, Universitas Indonesia. According to the study, the highest power generated by solar power plant mostly occurs at 12:00 - 13:00 with the highest power generated by PV is 2,344 W and the exported power is 939 W, and 32.19% - 55.67% electricity energy savings consumption from utility grid. © 2019 IEEE.

关键词： Solar energy

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The development of environmental knowledge and the use of solar energy using environmental responsibility behavior in Central Java

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IOP Conference Series: Materials Science and engineering 2021年第4期1098卷

作者： H Hamiyati M Subekti I A Rahardjo Family Welfare Education Study Program Faculty of Engineering Universitas Negeri Jakarta Jakarta Indonesia Electrical Engineering Education Program Faculty of Engineering Universitas Negeri Jakarta Jakarta Indonesia

Energy has an essential meaning in life to continue to develop and support economic and environmental activities. Every year energy in Indonesia increases rapidly in line with human growth. To supply energy needs, renewable energy sources must be developed. Renewable energy potentials such as solar energy have never been used on a large scale even though Indonesia has enormous energy potential. Solar energy can be used in the form of solar cells for electricity generation. The utilization of solar cells can help people who live in remote areas far from the electricity network. This research was conducted in Central Java by using descriptive qualitative methods and using research and development (R&D) methods. The technique used is an expressive qualitative analysis technique. The result solution implemented is to meet the increasing electrical energy needs of the community. This research produces renewable energy that can be used as a solution to solving the electrical energy crisis at an affordable cost and can increase the independence of the community so that it does not depend on government electricity supply and improve environmental responsibility behavior.

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Induction voltages square and triangle solenoid as alternatives electrical energy resources

Induction voltages square and triangle solenoid as alternati...

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2018 International Conference on Research and Learning of Physics, ICRLP 2018

作者： Pathoni, H. Pratiwi, D. Education Physics Study Program Education and Teacher Training Faculty Jambi University Jl. Jambi Muara-Bulian Km15 Mendalo Darat Jambi36361 Indonesia Electrical Engineering Study Program Engineering Faculty Jambi University Jl.Tri Brata Pondok Meja Muara Jambi Jambi Indonesia

Solenoids have been made with square and triangular cross-sections. Both kinds of solenoids are made with an iron core and without an iron core. The solenoids specification were 12 cm long and 3.5 cm wide with 220 windings and 900 windings. The iron core specification was 12.5 cm long and 8 mm diameter. The induction voltages both of solenoids have calculated with experiments method in the laboratory. Calculation of induction voltages with the experiment method used the motor as the magnetic drive, full-wave rectifier circuit, neodym magnet, and led lamp. Induction voltage and electric current obtained of each solenoid for range from two cm until ten cm. The closest distance between the solenoid with the motor as magnetic drive and the greater the number of solenoid windings produced the greater the induction voltages. Triangular-sided solenoids with 220 windings produced faster induction voltages than the square-sided solenoid for the same number of windings. While an iron core solenoids produced faster induction voltages than solenoid without an iron core. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Solenoids

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Effect of alginate and chitosan addition in the fabrication of polyvinyl alcohol-based matrix for tissue engineering applications

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AIP Conference Proceedings 2024年第1期3215卷

作者： Retno Wahyu Nurhayati Fatimah Azzahra Nuzli Fahdia Mazfufah Siti Fauziyah Rahman Wildan Mubarok Department of Chemical Engineering Faculty of Engineering Universitas Indonesia 16464 Depok Indonesia Research Center for Biomedical Engineering Faculty of Engineering Universitas Indonesia 16464 Depok Indonesia Stem Cells & Tissue Engineering Cluster Indonesian Medical Education and Research Institute Faculty of Medicine Universitas Indonesia Jakarta 10430 Indonesia Doctoral Program in Biomedical Sciences Faculty of Medicine Universitas Indonesia Jakarta 10430 Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Indonesia 16464 Depok Indonesia Division of Chemical Engineering Department of Materials Engineering Science Graduate School of Engineering Science Osaka University 560-0031 Toyonaka Japan

Recently, there has been a growing interest in artificial skin on hydrogels as a potential alternative for animal testing to evaluate the efficacy and safety of new drugs or cosmetics. Synthetic polymers have been widely used due to their superior physicochemical properties. However, synthetic polymers such as polyvinyl alcohol (PVA) are limited by their poor biocompatibility and cell adhesion. Combining synthetic and natural polymers can improve these properties. Therefore, in this study, we aimed to investigate the effect of alginate and chitosan addition to PVA-based hydrogels on protein adsorption, cell viability and cell attachment. The addition of chitosan decreased protein adsorption, which was caused by the changes in electrostatic charge by PVA-chitosan interaction and changes in surface roughness. Primary human fibroblast cells cultured on PVA, PVA-alginate and PVA-chitosan had >80% viability which indicates the cytocompatibility of the hydrogels. More importantly, alginate and chitosan also improved the cell attachment on the PVA-based hydrogels. Taken together, the addition of both alginate and chitosan has the potential to improve PVA-based hydrogels for artificial skin application.

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A Detailed Analysis for the Performance of Artificial Intelligence System in Voice Recognition and its Classifications

A Detailed Analysis for the Performance of Artificial Intell...

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Advance Computing and Innovative Technologies in engineering (ICACITE), International Conference on

作者： Lamhot Naibaho Richa Mishra Dr. Ritu Gautam Suresh Babu Rajasekaran Dr Amaresh Jha Durgaprasad Gangodkar Faculty of Letters and Languages English Language Education Study Program Christian University of Indonesia Department of CSE Parul Institute of Engineering and Technology Parul University Vadodara Gujarat India Sharda School of Law Sharda University Greater Noida U.P. INDIA Group Product Manager United State School of Modern Media University of Petroleum and Energy Studies Department of CSE Graphic Era Deemed to be University Dehradun Uttarakhand India

Artificially intelligent machines possess cognitive capabilities that are comparable to those of human beings. Voice detection algorithms and methods have been developed for the purpose of identifying, differentiating, and verifying speakers. The amalgamation of speech recognition technology and artificial intelligence has facilitated advancements on a global scale. The implementation of conversational artificial intelligence (AI) holds the capacity to significantly transform the market. Law enforcement agencies could potentially employ this technology to identify perpetrators based on their speech patterns. Large-scale social gatherings can provide numerous benefits to researchers across various domains. This technology exhibits the capacity to benefit both the educational sector and the medical and healthcare domain.

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Analysis of extreme weather used C-band radar and rain gauge for floods and landslides in Lombok

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AIP Conference Proceedings 2023年第1期2609卷

作者： Made Sutha Yadnya Yudist I. Wayan Sudiarta 1Electrical Engineering Communication Laboratory Engineering Faculty University of Mataram Mataram Indonesia 2BMKG Lombok Mataram Indonesia 3Physic Study Program Faculty of Mathematics and Natural Science University of Mataram Mataram Indonesia

This paper is collaboration between BMKG and the University of Mataram to mitigate landslides by utilizing C-band radar data and rain gauges in measuring rainfall as the main factor triggering disasters. In heavy and prolonged rains, there is a chance for disasters to occur. Based on the observations of the Lombok International Airport Meteorological Station (-8°76'59"LS and 116°27’'91"E), the 24-hour cumulative rain on January 30, 2021, the analysis results of 64 mm/h can be included in the category of extrime rainfall.

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Setting time and compressive strength of geopolymer concrete with variations in the addition of cement

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AIP Conference Proceedings 2024年第1期3098卷

作者： Yayan Adi Saputro Jati Widagdo Syamsul Arifin Sa’dullah Assa’idi Nimas Aulia Pambajeng Miftahunnajah Abdul Talib Bon Civil Engineering Program Study Faculty of Science and Technology Islamic University of Nahdlatul Ulama Jepara Jepara Indonesia Product Design Program Study Faculty of Science and Technology Islamic University of Nahdlatul Ulama Jepara Jepara Indonesia Management Program Study Faculty of Economics and Business Islamic University of Nahdlatul Ulama Jepara Jepara Indonesia Islamic Education Management Study Program Islamic University of Nahdlatul Ulama Jepara Jepara Indonesia Balekambang Polytechnic Jepara Jepara Indonesia Professor of Technology Management Faculty of Technology Management and Business Universiti Tun Hussein Onn Malaysia Parit Raja Johor Malaysia

The increasing demand for cement in the world of construction can have an extraordinary effect, especially in the production of cement which produces CO2. So we need an alternative material as a substitute and even replace the role of cement. Utilization of coal waste in the form of fly ash is in the spotlight to be maximized. Therefore this research was conducted as an alternative contribution to the solution using geopolymer concrete in terms of setting time and compressive strength with variations in the addition of cement. The method used is experimental in the laboratory which produces qualitative data for further numerical calculations. Tests focused on the setting time and compressive strength of concrete using 5 mix designs with cement variations ranging from 10%, 20%, 30%, 40% of the use of fly ash. The results of the setting time with the highest duration, namely 100% FA=1.5, 95 minutes initial setting time and 225 minutes final setting time, then decreased to the lowest duration, namely 60% FA: Pc 40%=1.5. The initial setting time is 15 minutes and the final setting time is 37 minutes. The highest concrete compressive strength results in the MD 4 mix design with 70% FA mixture: Pc 30%=1.5, which is 43.3 MPa. While the lowest compressive strength is the design mix MD 1 with a mixture of 100% FA=1.5 of 21.8 MPa.

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Review of smart grids advancements of energy mix sources

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AIP Conference Proceedings 2023年第1期2746卷

作者： A. N. Woro W. M. W. Muda A. Z. Annuar B. Syaiful Electrical Engineering Study Program Faculty of Engineering Pamulang University Pamulang Tangerang Selatan Banten Indonesia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 2103 Kuala Nerus Terengganu Malaysia Electrical Engineering Department Faculty of Engineering Pamulang University Pamulang Tangerang Selatan Banten Indonesia. Centre for Nuclear Reactor Technology and Safety National Nuclear Energy Agency of Indonesia Tangerang Selatan Banten Indonesia

The successful implementation of smart grids depends on energy efficiency, mostly relying on the operation of electricity source infrastructure. The combination of energy sources undoubtedly provides complexity in real applications. Some of the challenges for a smart grids comes from the intermittent renewable energy characteristics such as bioenergy, geothermal, hydropower, solar, ocean power, and wind energy to the base load energy such as natural gas, coal, and nuclear. This paper aims to review the implementation of current advances of smart grids from combined energy mix sources. The review includes major components of smart grids, i.e. power plants, monitoring systems, substations, power transmission and distribution, controllers and smart meters. The review also investigates the state of the art contribution of power electronics, artificial intelligence and Internet of Things to more significant optimization, safety and efficiency in these areas. The results are expected to provide a further gap analysis of applicable technologies and best practices in mixed electricity generation sources. The final result will also consider its application in an archipelago country such as Indonesia.

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Reconstructing Suspended Sediment Concentrations in the Mekong River Basin Via Semi-Supervised-Based Deep Neural Networks

SSRN

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SSRN 2024年

作者： Nguyen, Thi-Thu-Ha Vu, Duc Quang Doan, Ngoc Phu Thi Khanh Chi, Huynh Li, Peixin Van Binh, Doan An, Yimeng Tuan Dung, Pham Hoang, Tuan A. Thai Son, Mai Laboratory of Environmental Sciences and Climate Change Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City70000 Viet Nam Faculty of Environment School of Technology Van Lang University Ho Chi Minh City70000 Viet Nam Department of Computer Science and Information System Thai Nguyen University of Education Viet Nam School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast United Kingdom College of Economics and Management Nanjing University of Aeronautics and Astronautics China Master program in Water Technology Reuse and Management Faculty of Engineering Vietnamese-German University Binh Duong Province Ben Cat Town820000 Viet Nam

The Mekong River Basin (MRB) is one of the highest biodiversity areas in the world and is the vital source of livelihoods for more than 60 millions of people over six countries in Southeast Asia. However, it is suffering from a severe sediment starvation problem caused by climate change and human activities, particularly dam constructions. Understanding long-term sediment changes thus plays a crucial role for management and contingency plans. Current sediment concentration data in the MRB are extremely sporadic, making it a non-trivial task to analyze them. This paper focuses on the sediment reconstruction to provide long-term reliable suspended sediment concentration (SSC) data using Machine Learning (ML) perspectives. In particular, a novel semi-supervised ML model, which can effectively deal with data sparsity, is introduced to predict/reconstruct missing sediment data. The key idea of this approach is to exploit abundant available hydroclimate data to reduce training overfitting rather than solely relying on sediment concentration data, thus enhancing the accuracy of the employed ML models. Extensive experiments on data obtained from 1979 to 2019 at the three main stations (i.e., Chiang Saen, Nong Khai, and Mukdahan) are conducted to demonstrate the performances of the proposed method compared to other state-of-the-art supervised techniques and traditional simulation methods commonly used in previous sediment forecasting/reconstruction studies. To the best of our knowledge, this approach is the first semi-supervised method to reconstruct sediment data in the field. Though this study focuses on the MRB, sediment sparsity is a very common problem in other river systems worldwide. Thus, this method can be widely applied for them for more effective sediment reconstruction/prediction in general. © 2024, The Authors. All rights reserved.

关键词： Biodiversity

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Integration of Artificial Intelligence in Software Defined Networking Technology through Developing Machine Learning Algorithms

Integration of Artificial Intelligence in Software Defined N...

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Advance Computing and Innovative Technologies in engineering (ICACITE), International Conference on

作者： Lamhot Naibaho Pulkit Raj Saxena Kuldeep Sharma Badria Sulaiman Alfurhood L. Pallavi Bhasker Pant English Language Education Study Program Faculty of Letters and Languages Christian University of Indonesia College of Computing Science and Information Technology Teer Thanker Mahaveer University Moradabad Uttar Pradesh India Department of Computer Science and Engineering Lovely Professional University Phagwara Jalandhar Punjab India Department of Computer Sciences College of Computer Information Sciences Princess Nourah Bint Abdulrahman University Saudi Arabia CSE B V Raju Institute of Technology Narsapur Telangana India Computer Science & Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India

A future networking design called "software-defined networking" combines network programmability with centralized administration (SDN). Network administration is currently handled by SDN, which, at the regulator, which acts as the cable network processor and divides the data plane into a control plane and a data aircraft. Recent breakthroughs in artificial intelligence (Al) have shown a stronger inclination for the science community to benefit from their ability to give learning capabilities and enhance Indicator. The author of this research provides a comprehensive analysis of initiatives underway to incorporate Al with SDN. The study concluded that the three primary Al thread where scientific research was centered were computer science, conceptual, and fuzzy reasoning systems. The authors of this paper explore the several fields in which these approaches may be used, their potential future applications, and the innovations made possible by the integration of AI-based methods into the SDN paradigm. By choosing the right SDN controller, any large organization may lower network complexity, implementation expenses, and maintenance costs. The focus of this article is software defined networking's benefits and downsides (SDN). Following is a basic explanation of artificial intelligence and a list of some of its most significant applications in SDN.

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