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International Conference on Electrical engineering and Computer Science (ICECOS)

作者： Desi Windi Sari Suci Dwijayanti Bhakti Yudho Suprapto Department of Electrical Engineering Doctoral Program in Engineering Science Faculty of Engineering Universitas Sriwijaya Palembang Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Sriwijaya Palembang Indonesia

ISBN: (数字)9798350368253

ISBN: (纸本)9798350368260

A crucial aspect of autonomous vehicles is path planning, which involves using various algorithms to determine the most efficient routes. This study investigates the application of the Ant Colony Optimization (ACO) algorithm to create a system for identifying the shortest path. The process includes collecting coordinate data from specific test locations on the Universitas Sriwijaya Indralaya campus to generate a graph-based map for analysis. The study begins with gathering route data through the Google Maps application, which includes 182 routes. In simulation tests, the routes generated by ACO differ from those suggested by Google Maps; sometimes, the ACO route is longer and sometimes shorter, due to the probabilistic nature of the ACO algorithm in finding optimal routes. The average error compared to Google Maps is 11.7 meters. Additional tests introduce obstacles on the road, requiring the system to find alternative routes. For instance, the initial route from the auditorium to the Faculty of Science and Math is 38-39-11-53-110-54-111 with a route length of 670 m. After adding a roadblock in front of the Faculty of engineering, the route changes to 38-39-116-40-70-69-56-111, with a route length of 730 meters. These tests demonstrate that the ACO algorithm effectively identifies the best routes for autonomous vehicles, both under normal conditions and when obstacles are present.

关键词： Photography Meters Web services Navigation Simulation Roads Probabilistic logic Path planning Satellite images Autonomous vehicles

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Hand-Woven Fabric Motif Recognition Methods: A Systematic Literature Review

Hand-Woven Fabric Motif Recognition Methods: A Systematic Li...

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International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)

作者： Handrie Noprisson Ermatita Ermatita Abdiansah Abdiansah Vina Ayumi Mariana Purba Marissa Utami Doctoral Program in Engineering Universitas Sriwijaya Palembang Indonesia Faculty of Computer Science Universitas Sriwijaya Palembang Indonesia Program of Informatics Management Politeknik Anika Palembang Indonesia Faculty of Engineering Muhammadiyah University of Bengkulu Bengkulu Indonesia

ISBN: (纸本)9781665427340

Knowledge of hand-woven motif recognition is only owned by the older generation, which has not been passed down to the younger generation. Moreover, computer technology can be used to support the recognition of traditional woven fabric motifs. The aim of this research is to conduct a literature review on hand-woven fabric motif recognition, with an emphasis on performance accuracy, techniques, and datasets utilized. This research included three distinct stages of systematic literature review (SLR): planning, execution, and reporting of findings. We found several datasets between 924,845 data and the number of classes between 3–25 class. Based on research result, we obtained several methods for hand-woven fabric motif recognition focused on performance examination. We recommended image pre-processing method, including Adaptive Filtering Denoising, Adaptive Wiener Filtering, Histogram Equalization, Gradient Pyramid (GP) Decomposition. Moreover, we suggested five feature extraction methods, including Radon Transform, Wavelet Transform, Locally Rotation Invariance Measure (LBP-ROR), Transform Invariant Low-Rank Textures (TILT) and Histogram of Oriented Gradients (HOG). For learning method, we recommend Fuzzy C-Mean (FCM), Convolutional neural network (CNN), Deep Neural Network (DNN), MobileNets, Inception-v3 and ResNet-50.

关键词： Wavelet transforms Histograms Wiener filters Systematics Bibliographies Neural networks Fabrics

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Development of Support Vector Machine Method to Forecast Dengue-Endemic Areas

Development of Support Vector Machine Method to Forecast Den...

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2023 International Conference on Informatics, Multimedia, Cyber and Information Systems, ICIMCIS 2023

作者： Meileni, Hetty Ermatita Abdiansah Husni, Nyayu Latifah Desmawati Doctoral Program in Engineering Science Palembang30139 Indonesia Universitas Sriwijaya Faculty of Computer Science Palembang30139 Indonesia Palembang30139 Indonesia Politeknik Negeri Sriwijaya Palembang Department of Electrical Engineering Palembang30139 Indonesia Universitas Pembangunan Nasional Veteran Jakarta Faculty of Health Science Jakarta12450 Indonesia

ISBN: (纸本)9798350307306

The cases of dengue hemorrhagic fever (DHF) in Indonesia have increased significantly since 2020. Data shown by the Central Statistics Agency, for example, in South Sumatra Province, there were 6,348 cases of DHF during that period. To suppress the case number of DHF, forecasting areas that are susceptible to this disease is urgently needed. This research aims to develop a machine learning method Support Vector Machine (SVM). The data used include area data, population density data, weather data, and dengue fever case data. The development of the SVM model is carried out using a machine learning method that combines regional data, population density data, weather data, and dengue case data. In the end, using the SVM method can be used to forecast dengue-endemic areas, so that the government and society can take further action to reduce the negative impact of DHF. © 2023 IEEE.

关键词： Forecasting

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Utilizing atmospheric pressure plasma-modified soy protein isolate as a phosphate substitute to improve the rheological properties of meatballs (kung-wan)

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International Journal of Biological Macromolecules 2025年 312卷 144045页

作者： Hsieh, Chang-Wei Tseng, Yu-Jou Cheng, Kuan-Chen Lin, Hua-Tsung Tsai, Sheng-Yen Adi, Prakoso Huang, Shi-Ying Chang, Chao-Kai Department of Food Science and Biotechnology National Chung Hsing University South Dist. Taichung City40227 Taiwan Department of Food Science National Ilan University Shennong Road Yilan City26047 Taiwan Department of Medical Research China Medical University Hospital North District Taichung City40400 Taiwan Graduate Institute of Food Science and Technology National Taiwan University Daan District Taipei City10617 Taiwan Institute of Biotechnology National Taiwan University Daan District Taipei City10617 Taiwan Department of Optometry Asia University Wufeng Dist. Taichung City413305 Taiwan Department of Food Science Fu Jen Catholic University No. 510 Zhongzheng Rd. New Taipei City242062 Taiwan International Doctoral Program in Agriculture National Chung Hsing University South Dist. Taichung City40227 Taiwan Department of Agricultural Product Technology Sebelas Maret University Surakarta City57126 Indonesia College of Ocean Food and Biological Engineering Jimei University No.43 Yindou Rd. Fujian Province Xiamen city361021 China

This study explores the potential of plasma-modified soy protein isolate (SPI) as a phosphate replacer to reduce the use of food additives in meatballs (kung-wan). Our findings demonstrate that plasma treatment altered SPI's physicochemical properties, decreasing surface hydrophobicity, free sulfhydryl content, particle size distribution, zeta potential, and thermal stability. Circular dichroism spectroscopy demonstrated an elevated α-helix content in air and nitrogen plasma-treated SPI, alongside a reduction in random coil contents. In addition, air plasma treatment for 90 s and nitrogen plasma treatment for 60 s and 90 s led to reductions in β-sheet content by 3.1 %, 0.6 %, and 4.51 %, respectively. Nitrogen plasma-modified SPI (60 s) exhibited improved solubility (16.62 %) and water holding capacity (7.57 %), alongside enhanced emulsification (0.77–1.15 %). Kung-wan made with nitrogen plasma-modified SPI (90 s) showed an 8.8 % reduction in cooking loss and improved emulsion stability compared to unmodified SPI. Across all groups, plasma-modified SPI reduced cooking loss, with the RPN2 group exhibiting the lowest rate (7.28 ± 1.87 %), significantly lower than the control group (P group). Dynamic rheology indicated better gel integrity in kung-wan with plasma-modified SPI, while appearance, particularly color, remained unaffected by the phosphate replacement. These findings suggest that nitrogen plasma-modified SPI enhances the quality of kung-wan by improving gel structure, water retention, and emulsion stability without compromising sensory characteristics. Our study introduces a novel strategy for replacing phosphates in meat products by employing plasma-modified SPI, thereby improving the overall quality and reducing the additive content of processed meat products. © 2025

关键词： Circular dichroism spectroscopy

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Antimicrobial potential of wood vinegar from cocoa pod shells (Theobroma cacao L.) against Candida albicans and Aspergillus niger

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Materials Today: Proceedings 2022年 63卷 S210-S213页

作者： Desvita, Hera Faisal, Muhammad Mahidin Suhendrayatna Doctoral Program School of Engineering Post Graduate Program Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Chemical Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Halal Research Center Universitas Syiah Kuala Banda Aceh23111 Indonesia

This research aims to determine the antimicrobial activity of wood vinegar from cocoa pod shells against Candida albicans and Aspergillus niger. The wood vinegar was prepared by pyrolyzing cocoa pod shells at temperatures ranging from 300 to 380 °C. After purifying by distillation, the wood vinegar at a concentration of 0.5% to 8% was then used for antibacterial testing. The Kirby–Bauer method was used to determine antibacterial activity. The efficacy of wood vinegar against microbe was observed by the inhibition zone diameter. The data analysis was carried out using SPSS statistical software ver. 22.0 for Windows (one-way ANOVA followed by Least Significant Difference test). The results showed that wood vinegar could inhibit the growth of two microbial pathogens, Candida albicans and Aspergillus niger. The higher concentration of wood vinegar, the higher the microbial growth inhibition zone diameter. The antimicrobial tests showed that wood vinegar had diameter inhibitory zones ranging from 6 to 6.12 mm for Candida albicans, and 6–6.14 mm for Aspergillus niger. These results indicate that wood vinegar produced from cocoa pod shells possesses antimicrobial properties. © 2022

关键词： Distillation

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Q-Learning Energy Management System (Q-EMS) in Wireless Sensor Network

Q-Learning Energy Management System (Q-EMS) in Wireless Sens...

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2024 International Conference on Smart Computing, IoT and Machine Learning, SIML 2024

作者： Ardiansyah, Deden Mustafid Mantoro, Teddy Universitas Diponegoro Doctoral Program of Information Systems School of Postgraduate Central Java Semarang Indonesia Universitas Pakuan Vocational School Computer Engineering Department West Java Bogor Indonesia Sampoerna University Media-Tech-Lab Computer Science Department DKI Jakarta Indonesia

ISBN: (纸本)9798350364101

The energy control of a Wireless Sensor Network (WSN) often leads to an unbalanced state between the battery storage system, energy extraction through photovoltaic systems energy, and energy utilization in the WSN. These disparities result in suboptimal wireless sensor network performance. The reliance on batteries is a major factor contributing to this problem. The Q-Learning Energy Management System (Q-EMS) is designed to address these challenges and improve energy management strategies. The Q-EMS algorithm used a learning process resulting in optimal actions for sensor nodes in different situations. The rewards or punishments nodes receive determine their decisions, which are determined by the Q-EMS algorithm. The Q-learning model approach is aimed at reducing energy consumption and supply in WSNs. Energy supply is categorized into battery-based, transfer-based, and harvesting, while energy consumption can be classified into task-cycle, mobility-based, and data-driven. The development of the Q Learning algorithm model has three scenarios: determining energy needs for WSN, effective energy harvesting strategy, and effective energy transfer. As a result, effective energy demand, harvesting and transfer using the Q-learning algorithm are balanced. However, it needs to be studied in more depth using real data in the field. In future research, I will use real data and optimize the use of the Q-Learning algorithm. © 2024 IEEE.

关键词： Energy management systems

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Digital Healthcare Industry and Technology Trends

Digital Healthcare Industry and Technology Trends

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International Conference on Big Data and Smart Computing (BIGCOMP)

作者： Jeong Hyeon Han Joo Yeoun Lee Division of Industrial Engineering Ajou University Doctoral program Suwon South Korea Division of Industrial Engineering Ajou University Professor Suwon South Korea

ISBN: (数字)9781728189246

ISBN: (纸本)9781728189253

Healthcare is an enormous industry based on legacy systems, which can lead to inefficiencies. While governments and medical companies have long been the main investors, major tech companies including Google, Microsoft have started investing more into digital health. Moreover, with the global pandemic of COVID-19 around the world, discussions about digital healthcare are once again emerging. This has caused a major shift in areas of focus within digital health as new technologies emerge and regulations evolve due to combined expertise. In this paper, we will look at the digital healthcare industry, policies, and technologies.

关键词： Industries Companies Aging Regulation Electronic healthcare Internet Investment

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Worthwhile, broad and thought-provoking

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Science and Public Policy 1997年第4期24卷 282-284页

作者： Bunting, Andrea Russell, Stewart Lecturer in Engineering at RMIT Melbourne and a doctoral student in Science and Technology Studies (STS) University of Wollongong NSW 2522 Australia Senior Lecturer and Head of Program STS

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Sub-Exact Sequence on Hilbert Space 3

Sub-Exact Sequence on Hilbert Space

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3rd International Conference on Applied Sciences Mathematics and Informatics, ICASMI 2020

作者： Utami, B.H.S. Fitriani Usman, M. Warsono Daoud, J.I. Doctoral Program of Mathematics and Natural Science Faculty of Mathematics and Natural Science University of Lampung Bandar Lampung Indonesia Department of Information System Stmik Pringsewu Pringsewu Indonesia Department of Science and Engineering Faculty of Engineering International Islamic University Malaysia P.O. Box 10 Kuala Lumpur50728 Malaysia

The notion of the sub-exact sequence is the generalization of exact sequence in algebra especially on a module. A module over a ring R is a generalization of the notion of vector space over a field F. Refers to a special vector space over field F when we have a complete inner product space, it is called a Hilbert space. A space is complete if every Cauchy sequence converges. Now, we introduce the sub-exact sequence on Hilbert space which can later be useful in statistics. This paper aims to investigate the properties of the sub-exact sequence and their relation to direct summand on Hilbert space. As the result, we get two properties of isometric isomorphism sub-exact sequence on Hilbert space. © Published under licence by IOP Publishing Ltd.

关键词： Hilbert spaces

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STATISTICAL ISSUES AND PROBLEMS IN GROUND-WATER DETECTION MONITORING AT HAZARDOUS-WASTE FACILITIES

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GROUND WATER MONITORING AND REMEDIATION 1988年第4期8卷 135-150页

作者： MCNICHOLS, RJ DAVIS, CB Roger J. McNichols is a professor of industrial engineering at the University of Toledo (Department of Industrial Engineering University of Toledo Toledo OH 43606). After receiving his Ph.D in industrial engineering from The Ohio State University he joined the faculty of Texas A and M University where he directed the Maintainability Engineering Graduate Program at Red River Army Depot. At UT he has served as associate dean of engineering and as chairman of the Systems engineering doctoral program. His research and consulting interests include reliability quality control manufacturing mathematical modeling and applied statistics. Charles B. Davis is an associate professor of mathematics at the University of Toledo (Department of Mathematics University of Toledo Toledo OH 43606). After receiving his M.S. in mathematics and statistics and his Ph.D. in statistics from the University of New Mexico he joined the Mathematics Department at UT where he established the graduate program in statistics. His research and consulting interests include statistical modeling statistical computation simultaneous inference and data analysis.

Ground water monitoring presents interesting statistical challenges, including controlling the risk of entering compliance monitoring, incorporating all modes of inherent variability into the statistical model on which tests are based, and taming the detection limit problem, all while maintaining demonstrable sensitivity to real contamination. Some of these challenges exceed textbook statistics considerably, even when considered alone, and good solutions are scarce. When these challenges are combined, the task of developing good statistical procedures or good regulations can be formidable. This article presents a number of realities of ground water monitoring that should be considered when developing statistical procedures. Recommendations made for addressing these realities include the following: (1) the false positive rate should be controlled on a facility-wide basis, rather than per well or per parameter as required in the proposed regulation (40 CFR §264); (2) multiple comparisons with control procedures are preferable to analysis of variance (ANOVA) for controlling the overall false positive rate; (3) retests can be made an explicit part of the statistical procedure in order to increase power and decrease sensitivity to distribution shape assumptions; (4) commonly used simple methods of handling below detection limit data with parametric tests, including Cohen's procedure as implemented in the U.S. EPA's Technical Enforcement Guidance Document (TEGD), should probably be avoided; (5) the statistical properties of practical quantitation limits for non-naturally occurring compounds should be studied carefully; and (6) so long as the facility-wide false positive rate is controlled, better sensitivity to real contamination is obtained by monitoring fewer well-chosen parameters at a smaller number of well-chosen locations. An evaluation of the proposed revised §264 regulation with respect to these realities reveals that it seems to be a definite improvement over the

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