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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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Recent trend of metal promoter role for CO₂ hydrogenation to C₁ and C₂₊ products

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South African Journal of Chemical engineering 2023年 44卷 14-30页

作者： Sholeha, Novia Amalia Holilah, Holilah Bahruji, Hasliza Ayub, Athirah Widiastuti, Nurul Ediati, Ratna Jalil, Aishah Abdul Ulfa, Maria Masruchin, Nanang Nugraha, Reva Edra Prasetyoko, Didik College of Vocational Studies Bogor Agricultural University (IPB University) Jalan Kumbang No. 14 Bogor 16151 Indonesia Research Center for Biomass and Bioproducts National Research and Innovation Agency of Indonesia (BRIN) Cibinong 16911 Indonesia Department Chemistry Faculty of Science and Data Analytics Institut Teknologi Sepuluh Nopember Kampus ITS Keputih Surabaya Sukolilo 60111 Indonesia Centre of Advanced Material and Energy Science Universiti Brunei Darussalam Jalan Tungku Link BE 1410 Brunei Darussalam Department of Chemical Engineering Faculty of Chemical and Energy Engineering Universiti Teknologi Malaysia 81310 UTM Skudai Johor Johor Bahru Malaysia Centre of Hydrogen Energy Institute of Future Energy Universiti Teknologi Malaysia Skudai 81310 UTM Skudai Johor Johor Bahru Malaysia Chemistry Education Study Program Faculty of Teacher Training and Education Sebelas Maret University Jl. Ir. Sutami 36A Surakarta 57126 Indonesia Research Collaboration Center for Biomass and Biorefinery between BRIN and Universitas Padjadjaran Jatinangor 45363 Indonesia Department of Chemical Engineering Faculty of Engineering Universitas Pembangunan Nasional “Veteran” Jawa Timur East Java Surabaya 60294 Indonesia

CO2 hydrogenation as sustainable route for generation of value-added carbon feedstock is identified as green pathway for mitigation of greenhouse gasses emission. CO2 methanation is one of the promising solutions, whi... 详细信息

CO₂ hydrogenation as sustainable route for generation of value-added carbon feedstock is identified as green pathway for mitigation of greenhouse gasses emission. CO₂ methanation is one of the promising solutions, which only requires reactions at atmospheric pressure while utilizing metal catalysts to overcome kinetic limitations. Metal catalysts can be promoted to alter reducibities, CO₂ adsorption capacities, and H_2[sbnd]CO₂ dissociation potential. The role of metal promoter such as rare earth elements (Ce, Mn, Co, and La) and alkali and alkali earth metal (Li, Na, Ca, and K) will be discussed within the scope of CO₂ methanation. The aspect of catalysts modification towards hydrogen dissociation potential and surface oxygen vacancy will be emphasized to enhance selectivity for methane. Another pathway for CO₂ hydrogenation is via further conversion into longer chain molecules such as olefin and ethanol. The benefit of metal promoter will be discussed in this review on the effect towards promoting C[sbnd]C coupling reaction for producing longer chain alcohol and light olefin. The strategies to develop active catalysts for the coupling reaction of C[sbnd]C will be emphasized with the promoter introduction. For the hydrogenation of CO₂ to longer chain molecules, the main metal catalysts Ni, Pd, Rh, and Co, and their modification with promoter such as Ga, Cu, and alkali metal Na, K will be discussed. A critical analysis of the CO₂ methanation mechanism and further C[sbnd]C reaction to longer chain molecules will be discussed, particularly the effect of metal promoters to stabilize the intermediate and maneuver the catalytic reaction pathway into the desired products. © 2023 The Author(s)

关键词： C1 products C2+ products CO2 Hydrogenation Metal promoter

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Meaningful human control: actionable properties for AI system development

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AI and Ethics 2022年第1期3卷 241-255页

作者： Cavalcante Siebert, Luciano Lupetti, Maria Luce Aizenberg, Evgeni Beckers, Niek Zgonnikov, Arkady Veluwenkamp, Herman Abbink, David Giaccardi, Elisa Houben, Geert-Jan Jonker, Catholijn M. van den Hoven, Jeroen Forster, Deborah Lagendijk, Reginald L. AiTech Interdisciplinary Research Program on Meaningful Human Control Delft University of Technology Delft The Netherlands Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft The Netherlands Faculty of Industrial Design Engineering Delft University of Technology Delft The Netherlands Faculty of Mechanical Maritime and Materials Engineering Delft University of Technology Delft The Netherlands Faculty of Technology Policy and Management Delft University of Technology Delft The Netherlands

How can humans remain in control of artificial intelligence (AI)-based systems designed to perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits - but also undesirable situations where moral responsibility for their actions cannot be properly attributed to any particular person or group. The concept of meaningful human control has been proposed to address responsibility gaps and mitigate them by establishing conditions that enable a proper attribution of responsibility for humans; however, clear requirements for researchers, designers, and engineers are yet inexistent, making the development of AI-based systems that remain under meaningful human control challenging. In this paper, we address the gap between philosophical theory and engineering practice by identifying, through an iterative process of abductive thinking, four actionable properties for AI-based systems under meaningful human control, which we discuss making use of two applications scenarios: automated vehicles and AI-based hiring. First, a system in which humans and AI algorithms interact should have an explicitly defined domain of morally loaded situations within which the system ought to operate. Second, humans and AI agents within the system should have appropriate and mutually compatible representations. Third, responsibility attributed to a human should be commensurate with that human’s ability and authority to control the system. Fourth, there should be explicit links between the actions of the AI agents and actions of humans who are aware of their moral responsibility. We argue that these four properties will support practically minded professionals to take concrete steps toward designing and engineering for AI systems that facilitate meaningful human control.

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Development of wall follower hexapod robot 2

Development of wall follower hexapod robot

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2nd International Conference on Vocational Education and Technology, IConVET 2019

作者： Ariawan, K.U. Nurhayata, I.G. Sutaya, I.W. Electronics Engineering Study Program Indonesia Technical and Vocational Faculty Indonesia Universitas Pendidikan Ganesha Indonesia

This study aims to develop a six-legged robot that is able to walk in an arena that resembles a maze (maze wall) and is able to follow a wall (wall follower). This robot is competed in the Indonesian Robot Contest (KRI) in the Indonesian Fire Extinguisher Robot Contest (KRPAI) division which is held annually by the Directorate of Student Affairs, the Directorate General of Learning and Student Affairs, the Ministry of Research, Technology and Higher Education. The research design consisted of 4 stages, including: mechanical design, electronic design, joint movement design at the robot's foot, and software design. The final result of this research was a six-legged robot design (hexapod) with robot dimensions of 29 cm × 29 cm × 25 cm (length × width × height). From several tests, the robot's success rate in completing the mission was 100%, with an average time of 16.73 seconds and the fastest time to complete the mission reached 15.85 seconds. Thus, the robot is expected to be included in the Indonesian Robot Contest (KRI) in 2020. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Robots

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Alternative foundation for reducing building losses due to foundation failure in soft soil 4

Alternative foundation for reducing building losses due to f...

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4th International Conference on Earthquake engineering and Disaster Mitigation, ICEEDM 2019

作者： Srihandayani, Susy Doctoral Program Departement of Civil Eng. Engineering Faculty Andalas University Indonesia Civil Engineering Study Program Sekolah Tinggi Teknologi Dumai Riau Indonesia

Much damage to buildings occurs in areas that have soft soil layers due to the failure of the foundations. Besides, foundations in soft soils generally require very expensive construction. For this reason, proper research needs to help develop strong foundations that can be used on soft soils with relatively low cost. In this research, foundations with various diameters and depths were tested on soft soil. The foundations were made of PVC pipes with diameters of ½ ", 1", 2 " or 2.5" and the same depth. Soft soil in the form of clay with particle-sizes that passed filter No. 200 was used. Before testing the foundations, carrying capacity analysis was done using the classical method on each pipe with a closed head so that the optimum carrying capacity of each foundation (PVC Pipe) was known. From this test the influence of the size of the foundations on the carrying capacity of soft soil could be seen. The results of this research will help reduce building loss/damage in areas dominated by soft topsoil © 2020 The Authors, published by EDP Sciences.

关键词： Foundations

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The influence of preparation and pretreatment on the physicochemical properties and performance of plant-based biocoagulants in treating wastewater

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Environmental Advances 2023年 14卷

作者： Kurniawan, Setyo Budi Ahmad, Azmi Said, Nor Sakinah Mohd Gustinasari, Kiki Abdullah, Siti Rozaimah Sheikh Imron, Muhammad Fauzul Laboratory of Algal Biotechnology Centre Algatech Institute of Microbiology of the Czech Academy of Sciences Opatovický mlýn Novohradská 237 Třeboň 379 81 Czech Republic Department of Petrochemical Engineering Politeknik Tun Syed Nasir Syed Ismail Johor Pagoh 84600 Malaysia Department of Chemical and Process Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia (UKM) Selangor Bangi 43600 Malaysia Study Program of Environmental Engineering Department of Biosystem Engineering Faculty of Agricultural Engineering Universitas Brawijaya Malang 65145 Indonesia Study Program of Environmental Engineering Department of Biology Faculty of Science and Technology Universitas Airlangga Kampus C UNAIR Jalan Mulyorejo Surabaya 60115 Indonesia Department of Water Management Faculty of Civil Engineering and Geosciences Delft University of Technology Stevinweg 1 CN Delft 2628 Netherlands

Biocoagulants have gained attention as an alternative to chemical coagulants in water and wastewater treatment due to their ability to remove pollutant parameters such as turbidity, suspended solids, color, and organic compounds. Plant-based biocoagulants are currently the most promising due to their abundant availability and reliable performance. A proper preparation of plant-based biocoagulants is required to ensure the active compounds from the plants can be extracted. Plant raw materials are prepared into biocoagulants using drying and grinding, extraction, and purification. In mechanical preparation, drying and grinding exhibit great influence on the performance of plant-based biocoagulants due to the removal of moisture and higher contact with the carrier medium during dissolution. A smaller biocoagulant's size resulted in up to 78 % higher removal of turbidity. In chemical preparation, the oil needs to be removed before extracting the active ingredients to avoid low active compound extraction yields. The defatting of Moringa oleifera seeds showed an 18 % higher protein content. Salt and alcohol extractions were mentioned as superior extraction methods to obtain carbohydrate and protein from plant-based biocoagulants compared to water extraction, with up to a 5 % increment in turbidity removal. Preparation and pretreatment protocols have a great influence on the properties and performance of plant-based biocoagulants. Further extension of research on plant-based biocoagulants should address the problems in the initial characterization of plant material, standard pretreatment and preparation protocols, and real-scale application of plant-based biocoagulants. © 2023 The Author(s)

关键词： Biocoagulant Coagulant Environmental pollution Extraction Properties Synthesis

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Machine Learning-Based Classification of Mental Health State Using the DASS-21 Profile

Machine Learning-Based Classification of Mental Health State...

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Biomedical engineering International Conference (BMEiCON)

作者： Khanita Duangchaemkarn Patiphan Khammarew Supavadee Aramvith Department of Pharmacy Practice School of Pharmaceutical Sciences University of Phayao Phayao Thailand Pharmacy research extern under the Doctor of Pharmacy Program School of Pharmaceutical Sciences University of Phayao Phayao Thailand Multimedia Data Analytic and Processing Research Unit Department of Electrical Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand

ISBN: (数字)9798331505431

ISBN: (纸本)9798331505448

This study aimed to determine the most effective machine learning model for classifying emotional states of depression, anxiety, and stress based on the DASS-21 profile. Six machine learning models were developed and tested using 2,602 records from the University of Phayao Counselling Center, collected between 23 July and 16 August 2020. The results demonstrate that the deep learning model provided the highest accuracy and precision, exceeding 90% for all three emotional categories, with an AUC greater than 99%. These findings introduce an innovative approach for classifying emotional states of depression, anxiety, and stress using the DASS-21 profile as a benchmark. Incorporating additional features into the model could further enhance its utility in clinical decision-making, improving the accuracy of mental health screening and diagnosis.

关键词： Deep learning Employee welfare Adaptation models Accuracy Anxiety disorders Decision making Mental health Depression Reliability engineering Data models

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Cyber Security for Hoax News Detection with Similarity Algorithm

Cyber Security for Hoax News Detection with Similarity Algor...

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International Conference on Informatics and Computing (ICIC)

作者： Sy.Yuliani Yakub David Agustriawan Irmawati Dinar Ajeng Kristiyanti Shahrin Sahib Mohd Faizal Abdollah Mohammed Nasser Al-Mhiqani Yusuf Durachman The Informatic Study Program Faculty of Engineering and Informatics Universitas Multimedia Nusantara Tangerang Indonesia Faculty of Information Communication Technology Universiti Teknikal Malaysia Melaka Melaka Malaysia Department of Cyber Security University of Huddersfield United Kingdom Department of Information System State Islamic University of Syarif Hidayatullah Jakarta Jakarta Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

Hoax news is false information disseminated to deceive or mislead audiences, often with the aim of swaying opinions or creating confusion. The rise of social media has amplified the spread of hoax news, particularly in sensitive areas such as politics and health. In response to this growing issue, this paper proposes a Natural Language Processing (NLP) approach of detecting hoax news using the Smith-Waterman similarity algorithm. By comparing news content with a curated dataset of verified hoaxes, the system calculates a similarity score to assess the likelihood of the news being false. The results of this study show that news articles analyzed using the Smith-Waterman algorithm achieve a high accuracy, with a similarity score exceeding $93 \%$ for news inputs over 100 words. Furthermore, the proposed system demonstrates an efficient processing time, completing the analysis in approximately 6.57 seconds. These findings underscore the algorithm’s potential for real-time application in detecting fake news on social media and other digital platforms. This research aims not only to enhance the technical capabilities of hoax detection systems but also to foster greater media literacy and a more informed public.

关键词： Accuracy Social networking (online) Scalability Approximation algorithms Real-time systems Natural language processing Fake news Informatics Optimization Testing

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Stroke Prognostication in Patients Treated with Thrombolysis Using Random Forest

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Open Neuroimaging Journal 2024年 17卷

作者： Yunus, Reyhan Eddy Harris, Salim Sidipratomo, Prijo Kekalih, Aria Jatmiko, Wisnu Pandelaki, Jacub Rachman, Andhika Syahrul, Syahrul Valindria, Vanya Vabrina Rachmadi, Muhammad Febrian Muzakki, Muhammad Faris Tjuatja, Andrew Wijaya, Anthony Eka Teresa, Devina Faculty of Medicine Universitas Indonesia Rumah Sakit Umum Pusat Nasional Cipto Mangunkusumo Doctoral Program in Medical Sciences Faculty of Medicine Universitas Indonesia Faculty of Computer Science Universitas Indonesia Faculty of Medicine Universitas Syiah Kuala School of Electrical Engineering and Informatics Institut Teknologi Bandung

Background: Early identification and accurate prognostication of acute ischemic stroke are crucial due to the narrow time frame for treatment and potential complications associated with thrombolysis intervention. Objectives: This pilot study in the Southeast Asian region using Indonesian data, aims to develop a novel machine learning model for predicting the clinical outcome of acute ischemic stroke patients following thrombolysis. The model seeks to aid clinicians in identifying eligible candidates for thrombolysis therapy. Methods: This retrospective study at Cipto Mangunkusumo Hospital’s medical records from 2014 to 2023 used non-contrast brain CT, clinical, and lab data to develop a Random Forest (RF) algorithm predicting Δ NIHSS (National Institutes of Health Stroke Scale) score, indicating functional outcome. The developed RF model was applied to a validation dataset, with performance evaluated. The study also compared RF with a previous Convolutional Neural Networks (CNN) algorithm. Results: This study included 145 acute ischemic stroke patients treated with thrombolysis. It demonstrated the promising feasibility of using machine learning algorithms to predict clinical outcomes in this population. Integration of CT, clinical, and laboratory data as inputs to the RF models shows the best prediction performance (Accuracy = 0.75, AUC = 0.72, F1=0.50, Precision=0.60, Sensitivity=0.43, Specificity=0.88) Conclusions: The application of machine learning shows the potential to enhance the selection process for thrombolysis intervention in treating acute ischemic stroke. Further research with larger multicenter datasets and additional imaging modalities is required to improve predictive ability. © 2024 The Author(s).

关键词： Artificial intelligence International license Machine learning Prognostication Stroke Thrombolysis

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The substitution of Mg2+ with Mn2+/4+ metal ions in chlorophyll structure isolated from Gliricidia sepium leaves 2

The substitution of Mg2+ with Mn2+/4+ metal ions in chloroph...

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2nd International Conference and Exhibition on Sciences and Technology, ICEST 2020

作者： Selan, O.T.E. Hawu, H.N. Poy, L. Cunha, T.D. Darmakusuma, D. Chemistry Study Program Faculty of Science and Engineering University of Nusa Cendana Jl. Adisucipto Penfui Kupang Indonesia Bioscience Laboratory University of Nusa Cendana Jl. Adisucipto Penfui Kupang Indonesia

One of the critical issues of using chlorophyll (Mg-Chl) as a dye photosensitizer in DSSC is related to a rapid decay of this material. Changing the alkali metal using transition metal ions could theoretically increase the stability of chlorophyll. In this research, the substitution of Mg2+ with Mnn+ ions (n = 2 and 4) in chlorophyll structure isolated from Gliricidia sepium leaves had been carried out. The column chromatography technique was chosen to separate the chlorophyll followed by modifying the metal centre using two different compounds containing manganese, namely MnCl2 and MnO2. The results show that there are differences in Rf values after substitutions, [0.90 (Mg-Chl), 0.81 (Mn2+-Chl), and 0.96 (Mn4+-Chl)]. The Soret bands experience a redshift from 330 to 338 nm for Mn2+-Chl and a blue shift from 411 to 401 nm for Mn4+-Chl while the Q band has a redshift from 665 to 668 nm for Mn2+-Chl but a blue shift from 665 to 526 nm for Mn4+-Chl. The obtained products have similar IR absorption patterns to Mg-Chl but differ only in its transmittance with slightly higher wavenumbers shifts. Shifting of UV-Visible and Infra-red characteristics indicate different molecular electronic nature of the obtained compounds. This implies successful substitution for the metal centre without damaging the structure of the chlorophyll. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Transition metals

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