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3rd International Conference on Chemical engineering and Applied sciences, ICChEAS 2022

作者： Sumardiono, Siswo Matin, Hashfi Hawali Abdul Sulistianingtias, Ihdina Nugroho, Tri Yulianto Budiyono, Budiyono Department of Chemical Engineering Faculty of Engineering Universitas Diponegoro Semarang50239 Indonesia Study Program of Environmental Science Faculty of Mathematic and Natural Science Universitas Sebelas Maret Surakarta57126 Indonesia Vocational School Universitas Diponegoro Semarang50239 Indonesia

Sugarcane bagasse is a biomass with very potential, especially in agricultural countries. In this research, a study related to pretreatment and the ratio of C/N to biogas production from sugarcane bagasse was conducted. The study was carried out on a laboratory scale with physical pretreatment by grinding with a size of 6 mesh, then biological pretreatment with the microbial consortium 5 % g/V, and variations in the C/N ratio at 25 and 30. Cow rumen fluid was used in this study as a source of anaerobic bacteria and technical urea is used to adjust the C/N ratio. The solid total is set at 7 %. Based on research that has been carried out for 60 days, it was found that physical pretreatment by grinding with a size of 6 mesh can increase biogas production. Biogas production increased both at C/N ratio conditions of 25 and 30. Furthermore, biological pretreatment with the microbial consortium 5 % g/V was proven to increase biogas production at both C/N ratios of 25 and 30. Further studies on the C/N ratio, it was found that the C/N ratio of 25 was better than the C/N ratio of 30. This is evident in several variables, including raw and fine substrate conditions, as well as on variables with or without a microbial consortium, with the amount of biogas productivity at a C/N 25 ratio of 53-90.5 % higher than the C/N 30 ratio. © 2023 Elsevier Ltd. All rights reserved.

关键词： Grinding (machining)

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Design Implementation of Flood Early Warning System for Residential Monitoring

Design Implementation of Flood Early Warning System for Resi...

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International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)

作者： Joni Welman Simatupang Thariq Auliya Arrazaq Electrical Engineering Study Program Faculty of Engineering President University Cikarang Indonesia

The efforts to mitigate floods are necessary. One of the tools that can contribute to flood mitigation is the Flood Early Warning System (FEWS). The main goal of this study is to design a prototype of FEWS that can be easily used anywhere, anytime, and provide accurate water level readings. The prototype system is designed using an Ultrasonic Sensor for water level detection, an alarm system, and Blynk as a web and mobile dashboard. The prototype consists of four main components: Ultrasonic Sensor HC-SR04, Arduino Nano, NodeMCU, and HC-12. It comprises two units: a transmitter unit and a receiver unit. To determine the accuracy and consistency of the Ultrasonic Sensor, the author conducted testing using calibration, non-continuous, and continuous methods. The accuracy obtained was 99.71%. Additionally, the author observed high consistency in the readings of the ultrasonic sensor, as evident from continuous sensor reading test results. Furthermore, the receiver unit successfully displayed output according to the water level threshold for each condition. Additionally, the Blynk web and mobile dashboard were able to display output as per the design. However, we suggest adding data logging features and also solar panels as a renewable power source to support the improved prototype system.

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Relationship between drought and soil erosion based on the normalized differential water index(NDWI)and revised universal soil loss equation(RUSLE)model

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Regional Sustainability 2024年第4期5卷 133-144页

作者： Muhammad RENDANA Wan Mohd Razi IDRIS Febrinasti ALIA Supli Effendi RAHIM Muhammad YAMIN Muhammad IZZUDIN Department of Chemical Engineering Faculty of EngineeringUniversitas SriwijayaIndralaya30662Indonesia Master Program of Environmental Management Graduate SchoolUniversitas SriwijayaPalembang30139Indonesia Department of Earth Sciences and Environment Faculty of Science and TechnologyUniversiti Kebangsaan MalaysiaBangi43600Malaysia Department of Civil Engineering Faculty of EngineeringUniversitas SriwijayaIndralaya30662Indonesia Master Program of Agricultural Sciences Graduate Study ProgramUniversitas Muhammadiyah PalembangPalembang30263Indonesia Department of Agribusiness Faculty of AgricultureUniversitas SriwijayaIndralaya30662Indonesia Department of Sociology Faculty of Social and Political SciencesUniversitas SriwijayaIndralaya30662Indonesia

The Langat River Basin in Malaysia is vulnerable to soil erosion risks because of its exposure to intensive land use activities and its topography,which primarily consists of steep slopes and mountainous ***,climate change frequently exposes this basin to drought,which negatively affects soil and water ***,recent studies have rarely shown how soil reacts to drought,such as soil ***,the purpose of this study is to evaluate the relationship between drought and soil erosion in the Langat River *** analyzed drought indices using Landsat 8 satellite images in November 2021,and created the normalized differential water index(NDWI)via Landsat 8 data to produce a drought *** used the revised universal soil loss equation(RUSLE)model to predict soil *** verified an association between the NDWI and soil erosion data using a correlation *** results revealed that the southern and northern regions of the study area experienced drought *** predicted an average annual soil erosion of approximately 58.11 t/(hm^(2)·a).Analysis of the association between the NDWI and soil erosion revealed a strong positive correlation,with a Pearson correlation coefficient of *** assumed that the slope length and steepness factor was the primary contributor to soil erosion in the study *** a result,these findings can help authorities plan effective measures to reduce the impacts of drought and soil erosion in the future.

关键词： Drought Soil erosion Normalized differential water index(NDWI) Revised universal soil loss equation(RUSLE) Langat River Basin

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Development of Color Detection Based on Camera Infrared Filter with Python Image Processing 22

Development of Color Detection Based on Camera Infrared Filt...

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22nd IEEE Student Conference on Research and Development, SCOReD 2024

作者： Leonardy, Joshu Aflah, Nawal Zuhdaniel Salim, Mohd Rashidi Bin Ibrahim, Mohd Haniff Bin Manap, Hadi Bin Tresna, Wildan Panji Universiti Teknologi Malaysia Faculty of Electrical Engineering Johor Bahru Malaysia The Republic of Indonesia Defense University Military Physics Study Program Bogor Indonesia University Malaysia Pahang Al Sultan Abdullah Faculty of Electrical & Electronic Engineering Technology Pekan Malaysia National Research and Inovation Agency Indonesia Research Center for Photonics South Tangerang Indonesia

ISBN: (纸本)9798331510077

This research explores the use of a modified infrared (IR) camera equipped with a high-pass filter to distinguish between natural objects (vegetation) and artificial objects (synthetic military uniforms) in an environment where vegetation makes objects difficult to detect. In military operations, especially guerrilla warfare in tropical forests, detecting enemies camouflaged in vegetation makes it difficult to distinguish targeted objects. Visible light cameras usually struggle to distinguish between synthetic and natural colors. This methodology involves the use of Python programming and various libraries, such as Computer Vision (CV), to process images captured by modified cameras. A graphical user interface (GUI) was developed to analyze color values, focusing on the red, green, and blue spectra. The results show that the modified IR camera can more effectively separate synthetic and natural object color peaks compared to a standard visible light camera, offering potential applications in military reconnaissance and sniper operations. This research demonstrates how image processing can improve object detection in complex environments. © 2024 IEEE.

关键词： High pass filters

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Evaluation of Enrichment in Ontology-based Knowledge Management System

Evaluation of Enrichment in Ontology-based Knowledge Managem...

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2023 International Conference on Smart-Green Technology in electrical and Information Systems, ICSGTEIS 2023

作者： Dessy Hariyanti, Ni Kadek Linawati, Linawati Made Oka Widyantara, I. Putra Sastra, Nyoman Adisusilo, Anang Kukuh Wayan Budi Sentana, I. Dewa Made Bayu Atmaja Darmawan, I. Universitas Udayana Study Program of Doctoral Engineering Science Indonesia Universitas Udayana Electrical Engineering Department Indonesia Universitas Wijaya Kusuma Surabaya Engineering Department Surabaya Indonesia Macquarie University School of Computing SydneyNSW Australia

ISBN: (纸本)9798350382822

Ontology is an organization of knowledge that can represent knowledge in a structured manner. An ontology-based Knowledge Management System is a system that combines elements of knowledge management with the application of ontology as a knowledge base. Meanwhile, knowledge is dynamic and continues to develop all the time, giving rise to new knowledge. Therefore, the ontology must be updated regularly through ontology enrichment to meet adequate knowledge requirements. Ontology enrichment is carried out to ensure that the ontology remains relevant and responsive to developments in its knowledge domain. However, there are no standard stages in implementing enrichment in ontology-based Knowledge Management systems. Therefore, this research conducted a literature review to determine when and how to apply enrichment in ontology development. Data was obtained from related journals in 2018 - 2023. The method used in this research is the Systematic Literature Review method to systematically identify, review, evaluate, and interpret all available research in the area of interest with specific relevant research questions. The research results show that the ontology enrichment procedure generally includes preprocessing stages, relation extraction, and enrichment processes. Ontology enrichment is generally applied during the development of a new ontology as part of the ontology development cycle and on existing ontologies, which are a separate stage from the initial ontology development cycle. Based on these findings, the researcher provides recommendations for researchers who want to use or develop new ontology enrichment methods. © 2023 IEEE.

关键词： Ontology

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Application of the K-Medoids Clustering Model and Borda Decision Group in Viewing Flood Area Groupings in North Aceh Regency

Application of the K-Medoids Clustering Model and Borda Deci...

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Artificial Intelligence and Image Processing (IWAIIP), International Workshop on

作者： Wahyu Fuadi Ilham Sahputra Dedi Fariadi Agustinar Informatics Engineering Study Program Faculty of Engineering Universitas Malikussaleh Lhokseumawe Indonesia Information Systems Study Program Faculty of Engineering Universitas Malikussaleh Lhokseumawe Indonesia Electrical Engineering Study Program Faculty of Engineering Universitas Malikussaleh Lhokseumawe Indonesia

The importance of the K-Medoid model in viewing disaster-prone areas in each sub-district in North Aceh. The advantage of the k-medoid model results is that it has better cluster centers than other models. The novelty of this research is the cluster results are assessed by each decision maker using the Borda group model in providing flood disaster assistance or areas that are a priority for handling, which are included in the flood-prone cluster. Therefore, this research is important because it can be used to identify areas most severely affected by flooding. This research aims to analyze and identify the impact of flood hazards based on grouping and decision-making using the Borda group model in each sub-district in North Aceh. The results of the k-medoids model show 3 clusters that can see potential areas for flood disasters, namely very vulnerable. There are six sub-districts. For the k-medoids results, ten sub-districts are vulnerable. Lastly, the safe zones are 11 sub-districts. This research’s k-medoid model analysis is more precise in seeing clusters of places that are potentially affected by flooding based on spatial maps of their nearest neighboring areas. The percentage of each cluster is as follows: Cluster 1 is 4%, Cluster 2 is 55%, and Cluster 3 is 41%. The k-medoid model provided this result after three iterations, with a closeness difference of 1.594510537. The results of the Borda model group research can be used as a recommendation for the areas that receive the highest priority in disaster management.

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Impact of High-k Materials and Tube Numbers on CNFET Gate's Performances 5

Impact of High-k Materials and Tube Numbers on CNFET Gate's ...

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5th International Conference on Smart Systems and Inventive Technology, ICSSIT 2023

作者： Yalung, Christofer Tantraviwat, Doldet Uatrongjit, Sermsak Yamwong, Wittawat Doctor of Philosophy Program in Nanoscience and Nanotechnology International Program/Interdisciplinary Center of Excellence in Materials Science and Technology Faculty of Science Chiang Mai University Chiang Mai Thailand Chiang Mai University Faculty of Engineering Department of Electrical Engineering Chiang Mai Thailand Chachoengsao Thailand

ISBN: (纸本)9781665474672

Carbon nanotube field effect transistor (CNFET) performance is primarily influenced by a variety of characteristics, such as nanotube diameter, operating voltage, pitch, the number of tubes, dielectric constant, and contact materials. In this study, the dielectric constant and the number of carbon nanotubes (CNTs) were emphasized to analyze the propagation delay and average power dissipation of basic logic gates. Zirconium dioxide (ZrO2), hafnium oxide (HfO2), and silicon dioxide (SiO2) were used as dielectric materials. In this experiment, the Stanford CNFET model was utilized, and variable factors such as the number of CNTs and the dielectric constant (Kox) accumulated on the nanotube gate's surface were diversified. The correlation coefficients of the delay, the average power, and the CNT numbers were also presented. Furthermore, the multi-objective genetic algorithm and the Rmethod were utilized to find the optimal Kox and the number of CNTs for minimizing the average dissipation power and the propagation delay of some logic gates designed with CNFET. For all the gates considered, the optimal number of CNTs is 4 while the dielectric constant is within the ranges of 19 to 24. © 2023 IEEE.

关键词： Carbon nanotubes

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Decision Tree for Boosting Firewall Accuracy: Optimizing Action Classification for Enhanced Cybersecurity 9

Decision Tree for Boosting Firewall Accuracy: Optimizing Act...

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9th International Conference on Business and Industrial Research, ICBIR 2024

作者： Teppap, Prasert Ponglangka, Wirot Luekhong, Prasert Rajamangala University of Technology Lanna Doctor of Engineering Program in Electrical Engineering Chiang Mai Thailand Rajamangala University of Technology Lanna Faculty of Engineering Chiang Rai Thailand College of Integrated Science and Technology Rajamangala University of Technology Lanna Chiang Mai Thailand

ISBN: (纸本)9798350383010

This study aims to categorize many 'actions' types presented in the comprehensive dataset, known as 'Internet Firewall Data.' We employed this dataset to train and assess several models, including KNN, NB, RF, DL, and DT, aiming to identify a highly accurate classification model for firewall log data. Through 10-fold cross-validation, we determined that the RF and DT models achieved robust performance, with accuracies of 99.86% and 99.85%, respectively. Moreover, the NB and DT models exhibited the quickest processing times, measured at 0.22 s and 0.35 s, respectively. These findings underscore the substantial impact of reducing the number of 'actions' on the model's capacity for discernment and precision. This paper offers insights and recommendations valuable to both cybersecurity professionals and researchers, advocating for the consolidation of firewall action groups to enhance manageability. Simplifying firewall configurations not only bolsters security but also diminishes operational complexities. © 2024 IEEE.

关键词： Cybersecurity

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Application of Microbially Induced Calcite Precipitation for Slope Stabilization: A Review 7th

Application of Microbially Induced Calcite Precipitation for...

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7th International Conference on Architecture and Civil engineering, ICACE 2023

作者： Farichah, Himatul Hutama, Dio Alif Firmansyah, Yerry Kahaditu Department of Civil Engineering Faculty of Engineering Universitas Pembangunan Nasional "Veteran" Jawa Timur Jalan Rungkut Madya No. 1 Surabaya60294 Indonesia Study Program of Environmental Engineering Department of Biology Faculty of Science and Technology Universitas Airlangga Jalan Dr. Ir. H. Soekarno Surabaya60115 Indonesia

ISBN: (纸本)9789819707508

Microbially induced calcite precipitation (MICP) is an emerging geotechnical improvement technology that has received wide attention from researchers around the world. The applications of MICP in geotechnical field including soil improvement, surface resistance from erosion, coastal protection, and slope stabilization have been investigated by previous researchers. This paper presents a review on application of MICP for slope stabilization. Three subtopics were selected to be discussed: application of native bacteria, modified MICP methods, and field-scale studies. This review reveals that (1) MICP has the potential for slope stabilization;(2) native bacteria are ideal for use in MICP for application in slopes located in regions with variable cold climatic conditions;(3) to improve the effectiveness of MICP for slope stability, traditional MICP needs be modified;(4) MICP appears to have the potential to be one of the future landslide mitigation strategies since it works effectively in the field-scale test. Additionally, the recommended further researches in MICP for slope stabilization are: (1) study on the other types of native bacteria for diverse environmental condition is required;(2) to discover the best slope stabilization method, the combination of MICP and other traditional slope stabilization techniques should be investigated;(3) it is critical to investigate the effectiveness of the MICP technology for slope stabilization under various conditions in the field. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Slope stability

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Verification of the Inactivation Effect of Near-UV LEDs using a Pulsed Lighting System on Staphylococcus aureus

Verification of the Inactivation Effect of Near-UV LEDs usin...

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2024 IEEE Sustainable Smart Lighting World Conference and Expo, LS24 2024

作者： Nomura, Hiroki Kihara, Seiji Zukeran, Akinori Sawai, Jun Misu, Takayuki Kanagawa Institute of Technology Graduate School of Engineering Master's Degree Program in Electrical and Electronic Engineering Atsugi Kanagawa243-0292 Japan Kanagawa Institute of Technology Faculty of Engineering Department of Electrical and Electronic Engineering Atsugi Kanagawa243-0292 Japan Kanagawa Institute of Technology Faculty of Health and Medical Sciences Department of Nutrition and Life Science Atsugi Kanagawa243-0292 Japan

ISBN: (纸本)9798331540197

The purpose of this study is to investigate the disinfection effect of Near-UV LED light, which is pulsed using PWM control, on Staphylococcus aureus. To evaluate the disinfection effect of Near-UV LED light, three types of Near-UV LEDs with wavelengths of 395 nm, 385 nm, and 365 nm were installed within a sealed space inside an incubator and energized with a forward current of 1000 mA and a forward voltage of 3.6 V, and the disinfection rate under each type of light was assessed. Additionally, the disinfection effect was evaluated when the same three types of Near-UV LEDs were pulsed with a 50% duty cycle. As a result, 100% disinfection was achieved with 365 nm Near-UV LED direct-current irradiation for 120 seconds, and a 93% disinfection rate was obtained with pulsed irradiation for 150 seconds. © 2024 IEEE.

关键词： Light emitting diodes

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