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8th International engineering Conference on Renewable Energy and Sustainability, ieCRES 2023

作者： Nassar, Yasser F. Khozondar, Hala J. El- Abouhmod, Nasser M. Abubaker, Ahmed A. Ahmed, Abdussalam A. Alsharif, Abdulgader Khaleel, Mohamed M. Elnaggar, Mohamed El-Khozondar, Rifa J. Wadi Alshatti University Mechancal & Renewable Energy. Eng. Dept. Brack Libya The Islamic University of Gaza Electrical Eng. and Smart Systems Dept. Gaza Palestine Wadi Alshatti University Eng. Faculty Electrical and Electronic Eng. Dept. Brack Libya Bani Waleed University Mechanical Eng. Dept. Bani Waleed Libya Faculty of Engineering Johor Malaysia Karabu University Dept. of Electrical and Electronic Eng. Karabuk Turkey Palestine Technical College - Deir ElBalah Engineering Program Department Deir El-Balah Palestine Al-Aqsa University Faculty of Science Physics Departments Gaza Palestine

ISBN: (纸本)9798350300758

The present study presents a regression function for optimum tilt angle for fixed mode flat-plate solar harvesters suitable for different locations in Libya, sky conditions and albedo values. The research based on 14 years -15 minutes time series solar irradiation components which provided by Solargis database platform for 24 different locations in Libya, based on the contract signed between the Solargis Company and Wadi AlShatti University. Several transposition models are applied - corresponding to each location - for estimating the tilted global solar irradiance components according to recommendation of a local recent study. The proposed model corrects the optimum tilt angle by involving the three components of the solar irradiation: direct beam, sky-diffused and ground reflected solar irradiances. The results proved the applicability and reliability of the obtained regression model. In addition, results showed the high potential of the proposed model for use in engineering design, eco-energetic analysis and optimum design processes. © 2023 IEEE.

关键词： Location

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A Comprehensive Analysis of Mask Detection Using Convolutional Neural Networks (CNN) and Single Shot Multibox Detector (SSD) Approach

A Comprehensive Analysis of Mask Detection Using Convolution...

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Sustainable Emerging Innovations in engineering and Technology (ICSEIET), International Conference on

作者： Bayu Krisna Mukti Mega Novita Muhammad Amirudin Sanjay Kumar Singh Imadudin Harjanto Priyanka Bhardwaj Adhi Kusmantoro Manidipa Roy Department of Electrical Engineering Faculty of Engineering and Informatics Universitas PGRI Semarang Semarang Central Java Indonesia Postgraduate Program of Science Education Universitas PGRI Semarang Semarang Central Java Indonesia Department of Electronics & Communication Engineering ABES Engineering College Ghaziabad Uttar Pradesh India

The Covid-19 pandemic has emphasized the critical role of mask-wearing in reducing virus transmission. However, declining public awareness necessitates effective monitoring solutions. This study explores the Single Shot Multibox Detector (SSD) approach, a Convolutional Neural Networks (CNN)-based object detection method, for mask detection. Specifically, we investigate the performance of the SSD model with the ResNet50 architecture as the base network. Through the analysis of a dataset comprising 1000 images of individuals wearing and not wearing masks, the SSD model with ResNet50 achieves an impressive accuracy of 98.23%, surpassing the VGG16-based model's accuracy of 93.56%. These findings underscore the superiority of the CNN-based SSD model with ResNet50 for mask detection. Moreover, they have significant implications for real-time monitoring and enforcing mask-wearing protocols, emphasizing the importance of public awareness and adherence. Leveraging advanced AI techniques, such as CNN-based object detection with SSD, strengthens public health initiatives. The development of robust and efficient mask detection systems contributes to creating a safer environment amid the ongoing Covid-19 pandemic. This research highlights the value of harnessing these advanced technologies to effectively address public health crises. By employing CNN-based SSD with ResNet50, society can enhance its ability to mitigate risks and ensure public safety.

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Power Transfer Analysis Using UPQC-PV System under Sag and Interruption with Variable Irradiance

Power Transfer Analysis Using UPQC-PV System under Sag and I...

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2020 International Conference on Smart Technology and Applications, ICoSTA 2020

作者： Amirullah Soeprijanto, Adi Adiananda Penangsang, Ontoseno Universitas Bhayangkara Surabaya Electrical Engineering Study Program Faculty of Engineering Surabaya Indonesia Institut Teknologi Sepuluh Nopember Department of Electrical Engineering Surabaya Indonesia

ISBN: (纸本)9781728130835

This paper presents an analysis of the Unified Power Quality Conditioner-Photovoltaic (UPQC-PV) system under sag and interruption voltage with variable irradiance. The PV is connected to a three-phase three-wire (3P3W) distribution system with 380 volts (L-L) and a frequency of 50 hertz, through UPQC-DC link. This system is used to maintain and supply sensitive loads. This paper shows that in the sag voltage and irradiance levels of 200 W/m2 to 1200 W/m2, the 3P3W system uses UPQC-PV with proportional-integral (PI) still able to maintain the active load power above 3714 W. However, in the interruption voltage and same irradiance level, the load active power drops to between 2560 W and 2805 W. This research also shows that in the sag voltage and same irradiance levels, the 3P3W system uses UPQC-PV with PI still able to generate PV power between 500 W to 920 W. In the interruption voltage and same irradiance levels, the power that can be generated by PV increases between 1300 W to 1635 W. Otherwise, at 250 C and 1000 W/m2, the increase in PV power on interruption voltage has not been able to meet the load active power consumption, so it finally drops to 2650 W. This paper is simulated using Matlab/Simulink. © 2020 IEEE.

关键词： Energy transfer

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Fabrication of PSf/P84-blended membranes with low P84 content: Characteristics and gas separation performance

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Case Studies in Chemical and Environmental engineering 2024年 10卷

作者： Kayadoe, Victor Widiastuti, Nurul Gunawan, Triyanda Salleh, Wan Norhayati Wan Fansuri, Hamzah Romadiansyah, Taufik Qodar Pratama, Agus Wedi Department of Chemistry Faculty of Science and Data Analytical Institut Teknologi Sepuluh Nopember Chemistry Education Study Program Faculty of Teacher Training and Educational Pattimura University School of Chemical and Energy Engineering Faculty of Engineering Universiti Teknologi Malaysia Advanced Membrane Technology Research Center (AMTEC) Universiti Teknologi Malaysia

The demand for efficient and sustainable gas separation technologies is ever-increasing in various industries, including petrochemicals, natural gas processing, and carbon capture. Polymer-based membranes offer a promising solution due to their potential for high selectivity and energy efficiency. However, achieving optimal gas separation performance often requires overcoming the limitations of individual polymers through modifications such as polymer blending. In this study, PSf/P84 blended membranes with low P84 content were fabricated using the phase separation technique with a mixture of N-methyl-2-pyrrolidone and tetrahydrofuran as solvents. The effect of varying the mass ratio of PSf to P84 on membrane characteristics and gas separation performance was investigated. Characterization techniques included FTIR, XRD, SEM, TGA, Water Contact Angle (WCA) measurement, and mechanical property testing. Gas permeation tests were conducted with single gases at room temperature and 1 bar pressure. The results revealed that the addition of P84 increased membrane thickness, Young's modulus, and thermal stability, while decreasing d-spacing, dense layer thickness, hydrophilicity, tensile strength, and elongation. The F_index values, indicating the competence of the blended membranes compared to the ideal quality, demonstrated the positive impact of P84 addition on gas separation performance compared to pure PSf membranes. The optimal gas separation selectivity was achieved with the PSf/P84 1:0.025 blended membrane for H₂/CH₄ (11.28, 58 % increase), H₂/CO₂ (6.25, 193 % increase), and H₂/N₂ (5.25, 35 % increase). The highest N₂/CH₄ selectivity (6.29, 253 % increase) was observed with the 1:0.10 composition. Regarding commercially relevant separations based on the 2008 Robeson curve, the PSf/P84 1:0.20 blend showed promise for H₂/CO₂ separation, while the 1:0.

关键词： Findex Low P84 content PSf/P84 blended membrane Robeson curve

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Long short-term memory (LSTM) model-based reinforcement learning for nonlinear mass spring damper system control

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Procedia Computer science 2023年 216卷 213-220页

作者： Santo Wijaya Yaya Heryadi Yulyani Arifin Wayan Suparta Lukas Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta 11480 Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Yogyakarta 55281 Indonesia Cognitive Engineering Research Group (CERG) Universitas Katolik Indonesia Atma Jaya Jakarta 12930 Indonesia

The Neural Networks (NN) model which is incorporated in the control system design has been studied, and the results show better performance than the mathematical model approach. However, some studies consider that only offline NN model learning and does not use the online NN model learning directly on the control system. As a result, the controller's performance decreases due to changes in the system environment from time to time. The Reinforcement Learning (RL) method has been investigated intensively, especially Model-based RL (Mb-RL) to predict system dynamics. It has been investigated and performs well in making the system more robust to environmental changes by enabling online learning. This paper proposes online learning of local dynamics using the Mb-RL method by utilizing Long Short-Term Memory (LSTM) model. We consider Model Predictive Control (MPC) scheme as an agent of the Mb-RL method to control the regulatory trajectory objectives with a random shooting policy to search for the minimum objective function. A nonlinear Mass Spring Damper (NMSD) system with parameter-varying linear inertia is used to demonstrate the effectiveness of the proposed method. The simulation results show that the system can effectively control high-oscillating nonlinear systems with good performance.

关键词： Model-based Reinforcement Learning Random-Shooting Policy LSTM MPC Nonlinear System

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Long short-Term memory (LSTM) model-based reinforcement learning for nonlinear mass spring damper system control 7

Long short-Term memory (LSTM) model-based reinforcement lear...

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7th International Conference on Computer science and Computational Intelligence, CSCI 2022

作者： Wijaya, Santo Heryadi, Yaya Arifin, Yulyani Suparta, Wayan Lukas Computer Science Department BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Yogyakarta55281 Indonesia Universitas Katolik Indonesia Atma Jaya Jakarta12930 Indonesia

关键词： Model predictive control

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Review Paper on Bluetooth Based Home Automation Using Android Phone

Review Paper on Bluetooth Based Home Automation Using Androi...

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Sustainable Emerging Innovations in engineering and Technology (ICSEIET), International Conference on

作者： Priyanka Bhardwaj Manidipa Roy Shilpa Srivastava Sanjay Kumar Singh Vidushi Gupta Mega Novita Muhammad Amirudin Imadudin Harjanto ABES Engineering College Ghaziabad U.P India Postgraduate Program of Science Education Universitas PGRI Semarang Semarang Central Java Indonesia Department of Electrical Engineering Faculty of Engineering and Informatics Universitas PGRI Semarang Semarang Central Java Indonesia

Electronic devices and appliances have become quintessential part of households with the recent development and integration of a home automation system with numerous client modules, including a remote mobile host controller, as in offices, home appliances etc.. Through Bluetooth, the client modules communicate with the host controller such as an Android smart phone. This paper presents a prototype can be implemented in practice with maximum efficiency keeping the security feature in mind.

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Electronic and Electrochemical Properties of Novel Cathode Material NaFeSO4OH by First-Principle Calculations

Electronic and Electrochemical Properties of Novel Cathode M...

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International Conference on Renewable Energy and E-mobility, ICREEM 2022

作者： Idrus, Aqeel Badrudin, Fadhlul Wafi Shaffee, Siti Nur Amira Hassan, Oskar Hasdinor Sazman, Fatin Nabilah Zaki, Nur Hamizah Mohd Zolkiffly, Mohd Zaid Ali, Ab Malik Marwan Ahmad, Shahrul Izwan Baharom, Rahimi Taib, Mohamad Fariz Mohamad Zu Azhan Yahya, Muhd Faculty of Defence Science and Technology Universiti Pertahanan Nasional Malaysia Kuala Lumpur57000 Malaysia Centre for Defence Foundation Studies Universiti Pertahanan Nasional Malaysia Kuala Lumpur57000 Malaysia Renewables Technology Program PETRONAS Group Research and Technology Jln Ayer Hitam Kawasan Institusi Bangi Selangor Bandar Baru Bangi43000 Malaysia Faculty of Arts and Design Universiti Teknologi MARA Selangor Shah Alam40450 Malaysia Institute of Science Universiti Teknologi MARA Selangor Shah Alam40450 Malaysia Faculty of Electrical Engineering Universiti Teknologi MARA Selangor Shah Alam40450 Malaysia

ISBN: (纸本)9789819959457

We reported first-principle calculations on the structural and electronic properties of layered sodium iron(II) hydroxysulfate, NaFeSO4OH as a potential cathode for sodium-ion battery. Layered NaFeSO4OH was virtually derived from the experimentally reported layered LiFeSO4OH by replacing Li with Na. A redox voltage of 3.00 V was computed along with the theoretical capacity of 140 mAh/g, yielding an energy density of 420 Wh/kg. The electronic band gap is predicted to be similar to the Li counterpart of the material. This material has some valuable positive attributes, including high capacity and energy density, sturdy host structure as well as being made up of abundant elements. © Institute of Technology PETRONAS Sdn Bhd (Universiti Teknologi PETRONAS) 2024.

关键词： Electronic properties

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Alginate-based bioink for organoid 3D bioprinting: A review

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Bioprinting 2022年 28卷

作者： Leonardo, Michael Prajatelistia, Ekavianty Judawisastra, Hermawan Materials Engineering Study Program Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Indonesia Materials Science and Engineering Research Group Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Indonesia

As a 3D cell culture, organoids have been researched thoroughly to model the human biology system in advancing disease treatment and drug development. A novel way to create an organoid is using bioink, consisting of polymeric materials and living cells, to fabricate a hydrogel scaffold through the 3D bioprinting method. Alginate has the potential to be developed as a bioink due to its good biocompatibility, low toxicity, and ease of processing method. However, studies are still required to obtain an optimum alginate-based bioink. Alginate is insufficient in terms of the cell-binding site;thus, mixing it with supplementary gelatin material can be employed to optimize further the printability, mechanical properties, and biocompatibility of alginate-based bioink. The addition of gelatin material, in addition to increasing the binding site, also makes the process of making bioink easier due to the thermoresponsive nature of gelatin. The alginate-based bioink can be further optimized depending on gelatin concentration to produce appropriate density and rheological value of bioink. The addition of gelatin into alginate-based bioink will also significantly affect the printability of bioink and the mechanical properties of resulted hydrogel scaffold, which need to be considered appropriately. The alginate-based bioink also showed good biocompatibility regarding cell viability and biological performance. This paper focuses on the relationship between the structure and properties of alginate-based bioink, the 3D bioprinting processing parameters, and the implementation of resulted hydrogel scaffold and organoid. © 2022 Elsevier B.V.

关键词： 3D bioprinting Alginate Bioink Gelatin Hydrogel scaffold

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Blue carbon dynamics in mangroves and conservation of their services in the Coral Triangle Ecoregion, Southeast Sulawesi, Indonesia 2

Blue carbon dynamics in mangroves and conservation of their ...

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2nd Workshop on engineering, Education, Applied sciences and Technology, WEAST 2020

作者： Analuddin, Kangkuso Kadidae, La Ode Muhammad Yasir, La Ode Septiana, Andi Syahrir, La Rahim, Saban Pratama, David Fajar, L.D. Abdul Nadaoka, Kazuo Biotechnology Study Program Halu Oleo University Kendari Indonesia Chemistry Study Program Halu Oleo University Kendari Indonesia Marine Science Study Program Halu Oleo University Kendari Indonesia Fisheries Science Postgraduate Program Halu Oleo University Kendari Indonesia Geography Study Program Halu Oleo University Kendari Indonesia Chemistry Science Postgraduate Program Halu Oleo University Kendari Indonesia Marine and Fisheries Faculty Sebelas November University Kolaka Indonesia Dept. of Trans-disciplinary Science and Engineering Tokyo Institute of Technology Japan

Coral triangle eco-region is hotspot of coastal blue carbon, and contributes to the global carbon cycling. This study aimed to elucidate the blue carbon dynamics in mangroves and their importance services as source of blue carbon in the coastal zone of coral triangle ecoregion. The blue carbon content in mangrove sediment was analyzed, while blue carbon production and its export frommangroves leaf litterfallwasestimated. The results showed that the blue carbon content in mangrove sediment was significantly higher in deep of 40-50 cm than other layers(P © 2021 Published under licence by IOP Publishing Ltd.

关键词： Carbon

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