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Selecting an Ideal Site for Oscillating-Water-Column (OWC) Wave Energy Converter for Hydrogen Production in the Southern Coast of Yogyakarta, Indonesia

Selecting an Ideal Site for Oscillating-Water-Column (OWC) W...

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Information Technology, Advanced Mechanical and Electrical engineering (ICITAMEE), International Conference on

作者： Aries Taufiq Kurniawan Rachmawan Budiarto Ridwan Budi Prasetyo Arief Budiman Master Program in System Engineering Universitas Gadjah Mada Yogyakarta Indonesia Universitas Gadjah Mada Yogyakarta Indonesia National Laboratory for Energy Conversion Technology Agency for the Assessment and Application of Technology (BPPT) Yogyakarta Indonesia Gadjah Mada University Yogyakarta Indonesia

ISBN: (数字)9781728183091

ISBN: (纸本)9781728183107

The significant wave height and period in the South Coast of Yogyakarta were used to calculate the potential electrical energy generated using Oscillating-water-column (OWC) system. This system would be positioned in areas where ocean waves do not break during the lowest tides. Changes in bathymetry would affect changes in the height of waves and help determine the breaking waves' location. Electrical energy resulting from ocean wave energy conversion using the OWC system was used to determine hydrogen production's potential, possibly generated using the seawater electrolysis method. Pantai Baron (Gunung Kidul) and Pantai Baru (Bantul), located in Yogyakarta, Indonesia, were studied in terms of their properness to place the OWC system. Three points in each of the locations will be compared using the Analytical Hierarchy Process (AHP) method. The factors involved were the potential of hydrogen gas production, the OWC location suitability, potential disasters, the environment, and socio-economy. Pantai Baron is an ideal location for producing hydrogen gas using the electrolysis method utilizing electrical energy converted from ocean wave energy using the OWC system. The potential for hydrogen gases that can be produced is 640 kilograms per year.

关键词： Electric potential Hydrogen Production Ocean waves Electrochemical processes Wave energy conversion Tides

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Adversarially Robust Reinforcement Learning for Urban Traffic Signal Control

Adversarially Robust Reinforcement Learning for Urban Traffi...

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International Conference on Technology, Informatics, Management, engineering, and Environment (TIME-E)

作者： Muhammad Shafly Hamzah Endra Joelianto Herman Yoseph Sutarto Adiyana Putri Instrumentation and Control Master Program Institut Teknologi Bandung Bandung Indonesia Instrumentation Control and Automation Research Group Institut Teknologi Bandung Bandung Indonesia Department of Intelligent System PT. Pusat Riset Energi Bandung Indonesia Doctoral Program of Engineering Physics Institut Teknologi Bandung Bandung Indonesia

ISBN: (数字)9798350364750

ISBN: (纸本)9798350364767

Urban traffic congestion presents critical challenges, resulting in delays, environmental pollution, and significant economic costs. While traditional traffic control methods, such as fixed-time and adaptive systems, have been widely implemented, they often fail in unpredictable conditions, particularly when confronted with noisy or inaccurate data. This research proposes a robust reinforcement learning (RL) solution for traffic signal control using the RADIAL-DQN (Robust Adversarial Loss DQN) algorithm. Integrating adversarial training enhances the system's robustness to real-world uncertainties. Evaluations conducted using a SUMO traffic simulation show that the robust agent produced an increase of only 60.71% in queue length under a projected gradient descent (PGD) adversarial attack, outperforming standard RL agents, which experienced an 89% increase. These results demonstrate the potential of robust RL to improve both the reliability and scalability of urban traffic control systems.

关键词： Training Adaptive systems Uncertainty Scalability Urban areas Traffic control Robustness Standards Traffic congestion Testing

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Trends, Opportunities, and Challenges in Detecting Depressive Disorders Through Mobile Devices: A Review 2

Trends, Opportunities, and Challenges in Detecting Depressiv...

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2nd International Conference on Computer system, Information Technology, and Electrical engineering, COSITE 2023

作者： Elwirehardja, Gregorius Natanael Isnan, Mahmud Perbangsa, Anzaludin Samsinga Muchtar, Kahlil Pardamean, Bens Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Mahmud Isnan Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Information System Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Department of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9798350343069

Depressive Disorders (DD) is one of the most prevalent mental disorders in the world that may lead to suicide cases. To prevent the latter, ubiquitous early detection systems may be effective. Recent studies have since researched the development of such systems by exploiting several forms of data, including video, audio, Ecological Momentary Assessments (EMA), and passive sensing data using sensors embedded in mobile devices. To summarize the trends, opportunities, and existing challenges in this field, this study reviewed 15 papers to answer four research questions. EMA was the most popular data to be used in this task, but other approaches, such as using video, audio, and typing behaviors, may be considered due to the subjectivity of EMA. These data were typically recorded using smartphones and analyzed using Machine Learning (ML). However, most of the developed systems had yet to be implemented. Overall, it was concluded that further studies may need to explore usages of more objective data in multimodal approaches as well as consider using Mobile Cloud Computing (MCC) to deploy these systems to provide more effective and efficient diagnoses. Future studies must also take into account the existing challenges of the data and infrastructures, such as the weaknesses of several data types, limitations of mobile devices, as well as the challenges of diagnosis approaches. © 2023 IEEE.

关键词： Machine learning

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Cooperative engagement capability

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NAVAL ENGINEERS JOURNAL 1997年第2期109卷 43-57页

作者： ODriscoll, MJ Krill, JA Michael J. O'Driscoll:is a native of Arlington Virginia and has worked as a civilian in the Department of the Nay since 1969. He received his bachelor of science degree in aerospace engineering from the University of Notre Dame in 1967 his master of science degree in aerospace engineeringfrom the University of Virginia in 1969 and his master of arts in public administration from the University of Northern Colorado in 1976. Mlr O'Driscoll is currently the first program manager of the cooperative engagement capability (CEC) program an ACAT I program which promises to substantially improve fleet AAW capability. He was selected for this position following several years as the deputy program managerltechnical director of the Standard Missile and Vertical Launching System programs.

A revolutionary approach to air defense has recently been extensively evaluated within the United States Navy. The approach is a new cooperative engagement capability (CEC) that allows systems to share unfiltered sensor measurement data with very small time delay and with retention of precision, enabling the units of a battle group to operate as one. The CEC system and the program for fleet introduction will be described. Further, the results of recent testing as well as new concepts toward multiwarfare, joint-services operations are discussed.

关键词： Naval warfare

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Evaluating CO₂ concentration effects on growth kinetics and fatty acid composition in Euglena gracilis

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Applied Phycology 2024年第1期5卷 1-11页

作者： Erfianti, Tia Sadewo, Brilian Ryan Daryono, Budi Setiadi Budiman, Arief Suyono, Eko Agus Faculty of Biology Universitas Gadjah Mada Yogyakarta Indonesia Department of Chemical Engineering Faculty of Engineering Universitas Gadjah Mada Yogyakarta Indonesia Center of Excellence of Microalgae Universitas Gadjah Mada Jl. Bhinneka Tunggal Ika Yogyakarta Indonesia Master Program in System Engineering Universitas Gadjah Mada Yogyakarta Indonesia

Industrial development has significantly increased CO2 emissions, from 280 ppm in the pre-industrial era to over 400 ppm today, contributing to the greenhouse effect and climate change. This study investigates the imp... 详细信息

Industrial development has significantly increased CO₂ emissions, from 280 ppm in the pre-industrial era to over 400 ppm today, contributing to the greenhouse effect and climate change. This study investigates the impact of varying CO₂ concentrations on the growth, biomass accumulation, and biochemical composition of Euglena gracilis as microalgae-based carbon capture and utilization. E. gracilis was cultivated with CO₂ concentrations of 0%, 5%, 10%, and 30%, using white LED lights at 3000 lux. Growth was monitored through cell counts and optical density, while biomass and primary metabolites were analysed using standard methods. Fatty acid content was assessed using GC-MS and GC-FID. The results showed optimal growth at 5% CO₂, with biomass reaching 2.3 g l^‒1 on the day of harvest. The highest lipid content was obtained in the 15% CO₂ treatment with a total lipid of 0.35 g l^‒1. As for the decrease in pH, it showed that each treatment experienced a reduction in pH from 3.5 to almost 2.0. Fatty acid content was dominated by polyunsaturated fatty acids (PUFAs), especially in the control group and 15% CO₂ treatment, contributing up to 47.66%, and 46.36% to the group, respectively. The study highlights the importance of optimizing CO₂ levels for microalgae cultivation to enhance biomass and lipid production. Elevated CO₂ levels boost lipid synthesis but can stress cells if too high, suggesting a need for adaptive CO₂ addition methods. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： CO2 Euglena gracilis fatty acids growth kinetics lipid microalgae

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Social media-based online entrepreneurship approach on millennials: A measurement of job pursuit intention on multi-level marketing

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Procedia Computer Science 2022年 197卷 110-117页

作者： Reny Nadlifatin Satria Fadil Persada Mutiara Clarinda Gogor Arif Handiwibowo Rr Ratih Laksitowati Yogi Tri Prasetyo Anak Agung Ngurah Perwira Redi Department of Information System Institut Teknologi Sepuluh Nopember Campus ITS Sukolilo Surabaya 60111 Indonesia Department of Business Management Institut Teknologi Sepuluh Nopember Campus ITS Sukolilo Surabaya 60111 Indonesia Department of Technology Management Institut Teknologi Sepuluh Nopember Campus ITS Sukolilo Surabaya 60264 Indonesia School of Industrial Engineering and Engineering Management Mapúa University 658 Muralla St. Intramuros Manila 1002 Philippines Industrial Engineering Department BINUS Graduate Program-Master of Industrial Engineering Bina Nusantara University Jakarta 11480 Indonesia

The present research explores the behavioral perspective of the millennial generation on job pursuit intention on Multi-Level Marketing companies through social media. Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM) are used to assess the job pursuit intention. The data were analyzed by Structural Equation Model (SEM). Analysis reveals the strong influence of attitude on job pursuit intention. The result in this research can be used as the theoretical basis that can be very beneficial for MLM companies, investors, and academicians in marketing. Further theoretical and practical suggestions are discussed.

关键词： Millennial MLM social media TPB TAM

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Wavelet-based Technique for Mobile Device with Low Resolution Depth Image-based Rendering

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Journal of Computers (Taiwan) 2018年第6期29卷 168-180页

作者： Lu, Shengrong Hsia, Chih-Hsien Cheng, Wei-Han Li, Hsin-Ting Chiang, Jen-Shiun Zhang, Ling Tseng, Hsien-Wei Gong, Cihun-Siyong Alex School of Information Engineering Longyan University Longyan city Fujian364012 China Department of Computer Science and Information Engineering National Ilan University Yilan Taiwan Department of Electrical and Computer Engineering Tamkang University New Taiepi Taiwan Department of Electrical Engineering Chang Gung University Taoyuan Taiwan Portable Energy System Group of Green Technology Research Center Chang Gung University Taoyuan Taiwan Department of Ophthalmology Chang Gung Memorial Hospital Taoyuan Taiwan Master Program of Arts and Technology Chinese Culture University Taiwan

Depth Image-Based Rendering (DIBR) is an approach to generate a 3-D image by the original 2-D color image with the corresponding 2-D depth map. Although DIBR is a quite convenient to convert 2D images to 3D ones, there is a disadvantage in DIBR system that it cannot reach real-time processing due to the computing time. Against this, this paper proposes a method which is based on discrete wavelet transform and adaptive edge-oriented smoothing process, to speed up the computing of the system. The proposed method still preserves the original texture and thus the proposed method not only preserves the vertical texture but also reduces at least 60% of the computing time of the DIBR system. © 2018 Computer Society of the Republic of China. All rights reserved.

关键词： Discrete wavelet transforms

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The research of innovative design of M14 rifle trigger mechanism based on TRIZ

Chung Cheng Ling Hsueh Pao/Journal of Chung Cheng Institute ...

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Chung Cheng Ling Hsueh Pao/Journal of Chung Cheng Institute of Technology 2010年第1期39卷 185-212页

作者： Sun, Huai-Ku Deng, Shi-Gan Yeh, Jau-Nan Liao, Jian-Xiong Department of Power Vehicle and System Engineering Chung Cheng Institute of Technology National Defense University Taiwan School of Defense Science Chung Cheng Institute of Technology National Defense University Taiwan Master Program of Weapon System Engineering Chung Cheng Institute of Technology National Defense University Taiwan

This research presents a systemic method to the innovative design of M14 rifle trigger mechanism based on TRIZ. We used the system Functional Analysis to define the functions for the components of trigger mechanism, the Strategy Edition to evaluate the value of the components for selection and deletion of the lower value components to simplify the trigger mechanism. The technical parameters, the invention principle, and the contradictory matrix of TRIZ were applied to solve the contradictory problem generated during the innovative design process. Finally, we created the 3D modeling of parts and simulation of the new trigger mechanism to prove its feasibility. After we applied this systematic method to the M14 rifle trigger mechanism, not only fewer components has made, but the trigger mechanism newly designed can do all the functions of original design;it can be also replace the original trigger mechanism to install into M14 rifles.

关键词： Functional analysis

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RACER - A DESIGN FOR MAINTAINABILITY

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NAVAL ENGINEERS JOURNAL 1985年第5期97卷 139-146页

作者： DONOVAN, MR MATTSON, WS Michael R. Donovanis a 1974 graduate of the United States Naval Academy where he received his undergraduate degree in naval architecture. In 1975 he received a master of science degree in naval architecture and marine engineering from the Massachusetts Institute of Technology. After completing the Navy's nuclear power training program he served as machinery division officer in USSBainbridge (CGN-25) and chemistry and radiological controls assistant in USSLong Beach (CGN-9). He successfully completed the Navy's surface warfare officer qualification and passed the nuclear engineer's examination administered by Naval Reactors. He was then assigned to the Ship Design and Engineering Directorate (SEA-05) Naval Sea Systems Command as head systems engineer on the DDG-51 ship design project where he received the Navy Commendation Medal for outstanding performance. He is currently with Solar Turbines Incorporated as manager ship integration and integrated logistic support for the Rankine cycle energy recovery (RACER) system. Mr. Donovan has lectured at Virginia Polytechnic Institute teaching marine engineering and has given presentations on ship design at various symposiums and section meetings for both ASNE and SNAME. He has been a member of ASNE and SNAME since 1972 and is registered as a professional engineer in California and Virginia. Wayne S. Mattsonreceived his B.S. degree in mechanical engineering from Western New England College in 1972. Following graduation he attended Naval Officer Candidate School and was subsequently assigned as a project officer to COMOPTEVFOR where he was responsible for technical and operational test plans their execution and final equipment appraisal. Following a tour as engineering officer aboard the USSNespelen (AOG-55) he was assigned as commissioning MPA aboard the USSElliot (DD-967) the fifthSpruanceclass destroyer. For the past six years he has been employed by Solar Turbines Incorporated in program management within the advanced development department. He is currently

There is a great deal of emphasis currently in the Navy on the issues of reliability and maintainability. If a system or component is out of commission, it obviously cannot perform its mission. Thus, systems and components must be reliable, with low failure rates, and maintainable, with short repair times when the system does become inoperable. To be effective, these attributes must be incorporated into new ship systems early in the design stage. The Rankine cycle energy recovery (RACER) system is a heat recovery steam cycle designed to recover energy from the exhaust of an LM2500 gas turbine for augmentation of a ship's propulsion system. The RACER system provides several advantages to a gas turbine powered ship, one of which is improved fuel efficiency for significant annual fuel savings. This saving does not come free, however, since, in general, any additional system installed in the ship will have some maintenance requirements. In keeping with the Navy's current emphasis, a key philosophy in the design of the RACER system has been to minimize this maintenance burden. After a brief description of the RACER system and its design philosophy, the techniques being used during the design phase to minimize the maintenance burden on the fleet are presented. Trade-off studies concerning acquisition versus life-cycle costs, including fuel and maintenance costs, are discussed. Innovations incorporated into this state-of-the-art system are reviewed with an emphasis on design for affordability.

关键词： COGENERATION PLANTS

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Preprocessing Techniques for Enhancing Vision-Based Detection system for Tire Sidewall Extraction

Preprocessing Techniques for Enhancing Vision-Based Detectio...

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International Seminar on Research of Information Technology and Intelligent systems (ISRITI)

作者： Jia Hao Loo Veronica Lestari Jauw Chin Seong Lim Khairul-Rijal Sarmin Nunung Nurul Qomariyah Ahmad Nurul Fajar Department of Mechanical Materials and Manufacturing Engineering University of Nottingham Malaysia Malaysia Continental Tyre Technology Centre Malaysia Petaling Jaya Malaysia Computer Science Department School of Computing and Creative Arts Bina Nusantara University Jakarta Indonesia Information System Management Department BINUS Graduate Program-Master Information Systems Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331519643

ISBN: (纸本)9798331519650

This study aims to develop a system for extracting crucial information from tire sidewalls using Optical Character Recognition (OCR). Initially, images of tire were captured manually by smartphone cameras, including Redmi 9T, iPhone 11, and Galaxy S23 Ultra. The captured images are then transferred to a computer for storage. Subsequently, these images were cropped according to the boundaries identified by Hough Circle Transform (HCT). The cropped images were then further pre-processed. During the pre-processing phase, geometrical transformation and image sharpening techniques are applied to enhance the clarity and readability of the text images. The text is then extracted using Google Vision, with the extracted text categorized by size, DOT, brand and pattern. The results indicated that the effectiveness of image pre-processing was constrained by the accuracy of circle detection, which reached a maximum rate of 87.1%. This causes parts of the text to be cut out inaccurately, leading to a suboptimal extraction accuracy of 55.65%. It is also observed that the Redmi 9T camera produced inconsistent results compared to other devices. Specifically, the iPhone 11 and Samsung Galaxy S23 Ultra demonstrated superior extraction accuracies of 69.71% and 66.37%, respectively, whereas the Redmi 9T achieved a lower extraction accuracy of 37.76%.

关键词： Accuracy Optical character recognition Text categorization Lighting Transforms US Department of Transportation Cameras Tires Internet Data mining

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