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Capturing safely the sun rays: Dam risk management related to installation of floating photovoltaic cells

AIP Conference Proceedings 2024年第1期3215卷

作者： Raymond Valiant Bella K. P. Cantik Civil Engineering Study Program University of Indonesia Depok Indonesia 16424 Executive Member of the Indonesian Committee on Large Dams (INACOLD) Certified Professional in LargeDams Management Indonesia 10350 Civil Engineering Study Program Pradita University Tangerang Indonesia 15810

The worldwide consensus on the demand for low-carbon advancement has stimulated active development to promote photovoltaic technology as a renewable energy source. Currently developed, Floating Photovoltaic (FPV) cells, are typically installed on tranquil water surfaces like lakes and reservoirs. FPVs installed on the multipurpose reservoirs’ surface are related to dam safety practices. The purpose of this study is to assess and quantify the hazards from installing floating facilities on the reservoirs’ surface, identify the dominant factors contributing to the risk’s severity and likelihoodof FPV implementation at reservoirs in Indonesia. The research output are recommendations for guideline and standards to mitigate risks that will affect the dam’s safety. The research selected Cirata Dam, Kedungombo Dam, Karangkates Dam,and Mamak Dam as its focal points. The method used in this study is the quantitative method with a risk matrix approach arranged based on the severity and likelihood of various risks, classified into five aspects, namely technical, financial, environmental, regulation, and social. This matrix is cascaded by identifying areas and levels of risk that require treatmentby developing guidelines and standards. Key areas where the guidelines and standards are required comprise specified technical aspects of the FPV construction, environmental impacts on the reservoir, regulation, and financial system of the FPV development. The result of this study indicates that the FPV risk distribution value for the selected dams exhibit a similar range of severity and likelihood range from 59%-63% and 41%-53%, respectively. Furthermore, the environmental and technical aspects are determined as the most dominant aspect influencing severity. Specific recommendations are developed based on these findings.

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Redesign and Remanufacturing the Shot Peening Machine: Model and Experiment 7

Redesign and Remanufacturing the Shot Peening Machine: Model...

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7th International Conference on engineering, Technology, and Industrial Application, ICETIA 2020

作者： Nari, Henny Pasandang Sirman, Mahadir Nur, Rusdi Iqbal Mukhsen, M. Mechanical Engineering Study Program Politeknik Ilmu Pelayaran Makassar Jalan Salodong Biringkanaya Makassar South Sulawesi90552 Indonesia Mechanical Engineering Department Politeknik Negeri Ujung Pandang Jalan Perintis Kemerdekaan Km. 10 Makassar South Sulawesi90245 Indonesia

Stainless steel is a material that is corrosion resistant and can be used as an implant material (type 316L). Cold treatment can only increase stainless steel's hardness, one of which is the shot peening process. This paper aims to remanufacture the shot peening machine for laboratory-scale testing purposes. The methodology used in designing the device, making all the necessary components, assembling it, and testing the shot peening machine with several specified parameters. The conclusion that can be obtained is the shot peening machine has been well designed and remanufactured and has appropriately functioned based on the performance that has been shown in the testing of stainless steel 316L. © Published under licence by IOP Publishing Ltd.

关键词： Shot peening

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Chord Recognition using FFT Based Segment Averaging and Subsampling Feature Extraction

Chord Recognition using FFT Based Segment Averaging and Subs...

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International Conference of Information and Communication Technology (ICoICT)

作者： Linggo Sumarno Electrical Engineering Study Program Sanata Dharma University Yogyakarta Indonesia

ISBN: (数字)9781728161426

ISBN: (纸本)9781728161433

This paper proposes a feature extraction subsystem for a chord recognition system, which gives a fewer number of feature extraction coefficients than the previous ones. The method of the proposed feature extraction is FFT (Fast Fourier Transform) based segment averaging and subsampling. Guitar chords were used in developing the proposed feature extraction. In general, the method of the proposed feature extraction is as follows. Firstly, the input signal is transformed using FFT. Secondly, the left half portion of the transformed signal is processed in succession using SHPS (Simplified Harmonic Product Spectrum), logarithmic scaling, segment averaging, and subsampling. The output of subsampling is the result of the proposed feature extraction. Based on the test results, the proposed feature extraction was quite efficient for use in a chord recognition system. For the recognition rate category above 98%, the chord recognition system only required a number of seven feature extraction coefficients. In addition, for the recognition rate category above 90%, the chord recognition system only required a number of six feature extraction coefficients.

关键词： Feature extraction Harmonic analysis Databases Interpolation Training Visualization Microsoft Windows

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Analog Behavioral Model of Underdamped Free Oscillation of Cantilever Beams

Analog Behavioral Model of Underdamped Free Oscillation of C...

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2019 International Conference on Sustainable engineering and Creative Computing, ICSECC 2019

作者： Tarigan, Hendra J. Sitompul, Erwin President University Study Program of Electrical Engineering Faculty of Engineering Bekasi Indonesia

ISBN: (纸本)9781728151922

A physical model representing an underdamped free oscillation of a cantilever beam is constructed. The model is incorporated into a pSPICE Analog Behavioral Model (ABM) in order to construct a circuit schematic that generates a model-based waveform representing that of the experiment. A strain gage is employed to sense the change in strain in the oscillating cantilever beam. The frequency and damping ratio of oscillation of the cantilever are determined by means of curve fitting. Experiment and pSPICE ABM results show an excellent agreement. © 2019 IEEE.

关键词： Strain gages

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Fault Classification of Induction Motor Using Discrete Wavelet Transform and Fuzzy Inference System

Fault Classification of Induction Motor Using Discrete Wavel...

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Smart Technology and Applications (ICoSTA), 2020 International Conference on

作者： Kuspijani Kuspijani Richa Watiasih Prihastono Prihastono Electrical Engineering Study Program Bhayangkara Surabaya University Surabaya Indonesia

ISBN: (数字)9781728130835

ISBN: (纸本)9781728130842

This paper develops a real-time condition-monitoring algorithm for induction motor. The condition monitoring mechanism is based on the discrete wavelet transform (DWT) and the fuzzy inference system (FIS). In this method, the stator currents are used as an input to the system. No direct access to the induction motor is required. The developed system has been rigorously assessed theoretically and experimentally, and it has been shown that the system is robust and reliable.

关键词： induction motor vibration accelerometer raspberry pi DWT FIS induction motors LINC01554 gene discrete wavelet transform Fault class accelerometers fuzzy inference system Vibration stator current Condition monitoring

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Bioenergy knowledge, perception and attitude among students at Jambi state senior high school 10

Bioenergy knowledge, perception and attitude among students ...

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10th International Conference on Theoretical and Applied Physics, ICTAP 2020

作者： Nazarudin Hasibuan, M.P.H. Haryadi, B. Nurhayati Ulyarti Hadiyanto Chemical Engineering FST University of Jambi Jambi Indonesia Energy and Nano Material Centre LPPM Universitas Jambi Jambi Indonesia Center of Excellent on Bio-Geo Material and Energy Universitas Jambi Jambi Indonesia Department of Enviromental Study Program University of Jambi Jambi Indonesia Department of Science Education Program University of Jambi Jambi Indonesia

Bioenergy is one of the renewable energies which is predicted to be a main energy in the next few years. It can play the important role to change the current fossil fuel-based energy into a green energy which has a low carbon footprint. A research about how to develop a bioenergy have been done by a lot of reseacher. However, especially in Indonesia, there is just few research to study about bioenergy from societal aspects poin of view such as the understanding and awarness of bioenergy among citizens. In this research, we have investigated senior high school students' knowledge, perceptions, and attitudes interconected to bioenergy with online survery. The survey instrument used in the study was adopted from P. Halder's study. The data was collected from students at senior high school th (SMAN 10) Jambi City. The results showed that the students awareness of bioenergy perceived from school, home, and social media have significant effects on their knowledge, perceptions and attitudes related to bioenergy. Among 211 students as respondent (N), we found 70.62% believe that they understand well the concept about bioenergy, 5.21% believe that they understand it very well, and the rest believe that they do not understand it. This understanding reflects to their willingness to use a bioenergy in their daily life, in which 71.70% respondents agree to use bioenergy, 25.47% respondents can not decide, and only 2.83% do not want to use it. To find the relationship among the variables, a multiple regression was conducted. A statistical analysis showed that the model for knowledge as a function of attitudes and perception does not fit the data therefore this model is rejected. However, both model for attitudes as function of perception and knowledge, and also perception as function of attitudes and knowldeges fit the data hence the models are accepted. In other words, attitudes of students who will use/not use bioenergy, is significantly affected by their perception about bioen

关键词： Students

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The Influence of Sampling Frequency on Guitar Chord Recognition using DST Based Segment Averaging 1

The Influence of Sampling Frequency on Guitar Chord Recognit...

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1st International Conference of Artificial Intelligence and Information Technology, ICAIIT 2019

作者： Sumarno, Linggo Electrical Engineering Study Program Sanata Dharma University Yogyakarta Indonesia

ISBN: (纸本)9781538684481

Generally, a sampling frequency of chord recognition systems follows the Shannon sampling theorem. This paper investigates the influence of sampling frequency that does not follow the Shannon sampling theorem in a chord recognition system. The chord recognition system uses a transform domain approach that makes use a DST (Discrete Sine Transform). In addition, the chord recognition system uses segment averaging for feature extraction. An acoustic-electric guitar is used in this work. Based on the experiments, a decrease in the sampling frequency from 2500 Hz down to 156 Hz has almost no influence in the recognition rate. As a first note, we only consider the recognition rate above 95%. As a second note, we use at least frame blocking length of 128 points and feature extraction length of 16 points. Therefore, if that kind of recognition rate could be accepted, the sampling frequency as low as 156 Hz could still be used for guitar chord recognition. © 2019 IEEE.

关键词： Feature extraction

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System Modelling Using Neural Networks with External Recurrence and Exponential Quadratic Cost Function

System Modelling Using Neural Networks with External Recurre...

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2019 International Conference on Sustainable engineering and Creative Computing, ICSECC 2019

作者： Sitompul, Erwin President University Study Program of Electrical Engineering Faculty of Engineering Bekasi Indonesia

ISBN: (纸本)9781728151922

A novel cost function to improve the performance of neural networks in system modelling is proposed in this paper, the exponential quadratic cost function. This cost function combines the strength of penalizing errors exponentially and the feasibility of quadratic function in finding global minima. By applying the exponential quadratic cost function, the learning algorithm is expected to have an improved ability to minimize the difference between system output and model output. Simulations by using a test system with strong nonlinear dynamics were conducted to prove the effectiveness of the proposed cost function. The results show that the network trained using the exponential quadratic cost function performs better in emulating the test system in transient region. © 2019 IEEE.

关键词： Cost functions

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Saving matrix and nearest neighborhood with permutation for capacitated vehicle routing problem using Google Maps and VBA

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AIP Conference Proceedings 2023年 080003页

作者： Dwi Kurniawan Besti Destrisa Industrial Engineering Study Program Institut Teknologi Nasional Bandung Bandung – INDONESIA

A bakery company in Bandung produces and distributes a variety of bread to a number of shops in Bandung and Jakarta. The company is intended to design a route to get a route with a minimum time. The design of the route can be performed by using the Saving Matrix method which performs route design considering the highest saving. Considering the capacity of the vehicles used and the demand from each shop every day, the resulting routes can be different every day but will remain the same every week. To get a minimum savings, it is necessary to sort the route based on the minimum time using the Nearest Neighborhood method and Permutation theory. The routing results in the company show that Saving Matrix and Nearest Neighborhood with Permutation is capable to create a more than 50 percent saving in time and distance compared to the route currently they are using.

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Energy Preservation in MANET Using Self-Adaptive CH Selection with Advanced Genetic Algorithm 1

Energy Preservation in MANET Using Self-Adaptive CH Selectio...

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1st International Conference on Advanced engineering and Technologies, ICONNIC 2023

作者： Indriyono, Bonifacius Vicky Pamungkas, Natalinda Abbas, Fatima Hashim Mintorini, Ery Almohamadi, Mohammed Mahmood, Sarmad Nozad Alani, Sameer Alkhayyat, Ahmed H. Rachmawanto, Eko Hari University of Dian Nuswantoro Information System Kediri Indonesia Al-Mustaqbal University College Medical Laboratories Techniques Department Hillah51001 Iraq University of Dian Nuswantoro Visual Communication Design Kediri Indonesia College of Information Technology Imam Ja'afar Al-Sadiq University Al-Muthanna66002 Iraq Computer Technology Engineering College of Engineering Technology Al-Kitab University Iraq University of Mashreq Research Center Medical Laboratories Techniques Baghdad Iraq College of Technical Engineering University of Mashreq the Islamic University Najaf Iraq University of Dian Nuswantoro Study Program in Informatics Engineering Semarang Indonesia

ISBN: (纸本)9798350306484

Mobile Adhoc Networks (MANETs) is an emerging technology in both the industrial and academic research. The major drawback in MANETs is improving the battery capacity. MANETs are dynamic in nature therefore during communication it consumes more energy that reduces the overall energy efficiency of the network. Many past and present researches are concern about this problem. In this paper, Energy Preservation in MANETs using Self-Adaptive Cluster Head Selection with Advanced Genetic Algorithm (EPMSA-CHAG) approach is proposed where the CH selection is performed using two segments;they are initial parameter based on CH selection and Advanced Genetic Algorithm (AGA) based CH selection. At the initial stage the parameters which are considered for the CH selection are node degree, node stability, distance, residual energy, and speed and delivery rate. Using these parameters are the best fit for CH selection is chosen then in order to find the optimal best fit from the best fit calculation, Advanced Genetic Algorithm (AGA). The proposed EPMSA-CHAG approach is simulated using NS2 and the parameters which are considered for the performance analysis are packet delivery rate, energy efficiency, end to end delay, routing overhead and throughput. The methods that are taken for the comparative analysis are HLSPM-CHSR and HAMBO-CHLD. From the results calculated it is proven that the proposed EPMSA-CHAG approach achieved high packet delivery rate, energy efficiency and throughput as well as lower end to end delay and routing overhead when compared with the earlier methods HLSPM-CHSR and HAMBO-CHLD. © 2023 IEEE.

关键词： Energy efficiency

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