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5th International Conference on Information and Communications Technology, ICOIACT 2022

作者： Mimboro, Prasetyo Kusrini, Kusrini Laksito, Arif Dwi Postgraduate Program Universitas Amikom Yogyakarta Yogyakarta Informatics Engineering Departement Amikom Yogyakarta Indonesia Universitas Amikom Yogyakarta Faculty of Computer Science Amikom Yogyakarta Indonesia

ISBN: (数字)9781665451406

ISBN: (纸本)9781665451406

Prediction of fire forest will be needing several parameters that located on the same location and on the same time frame. This is important to have data on the same location and same time periods, since forest fire mostly triggered by weather or temperature condition on certain area on the certain time. Since there are many parameters involved, the preprocessing will need to made the data have standard structure. The clustering process needed to give a label to the data with five class label, very low risk, low risk, medium risk, high risk, very high risk. Based on the data set, we measurement the best cluster number related with DB index, the results shows that 8 cluster is the best number of the data with DB Index score are 0.8856. © 2022 IEEE.

关键词： Fires

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'Marfim pattern’ of wood species in the Southern Brazilian timber market: colorimetry and visible spectra

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Wood Material Science and engineering 2024年第1期20卷

作者： Naide Acosta, Tawani Lorena Vieira, Helena Cristina Xipaia dos Santos, Joielan Silva da Silva, Washington Duarte Stange, Rafaela Souza, Deivison Venicio Cademartori, Pedro Henrique Gonzalez de Muñiz, Graciela Inés Bolzon de Nisgoski, Silvana Postgraduate Program in Forest Engineering Federal University of Parana-UFPR Curitiba Brazil Department of Forest Engineering and Technology Federal University of Parana-UFPR Curitiba Brazil Forest Engineering Faculty Federal University of Pará Pará Brazil

Evaluating wood with similar characteristics is a challenging task. Taking into consideration the need for an efficient and rapid technique, the use of visible spectrophotometry to discriminate wood species is proposed. This study aimed to differentiate nine wood species with a similar yellowish color using visible spectrophotometry, associated with two classification models, to verify predictions. Color data were obtained from different anatomical sections of the wood, along with reflectance spectra in the range of 360–740 nm. Two machine learning approaches were applied: artificial neural network (ANN) and k-nearest neighbors (k-NN). In general, the mean spectra of the samples shared similar information, as they are materials of lignocellulosic origin. However, in all tests, the models built using the ANN algorithm demonstrated an accuracy in discriminating species exceeding 97%. Notably, when applying ANN to the spectra obtained solely from the longitudinal surface, superior results were obtained. Discriminative patterns can be obtained by visible spectra independent of the anatomical section. The integration of visible spectra and ANN proved to be a suitable approach to recognize "marfim pattern" wood. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Machine learning

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The Use of Coagulant and Natural Soil to Control Cyanobacterial Blooms in a Tropical Reservoir

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SSRN 2024年

作者： Pinheiro, Thaís Lopes Becker, Vanessa da Cunha, Karina Patrícia Vieira Frota, André Monicelli, Fernanda Araújo, Fabiana Capelo-Neto, José Federal University of Ceará Department of Hydraulic and Environmental Engineering Block 713 Campus Pici Ceará Fortaleza Brazil Federal University of Rio Grande do Norte Postgraduate Program in Civil and Environmental Engineering Natal Brazil Federal University of Rio Grande do Norte Postgraduate Program in Ecology Natal Brazil

Cyanobacterial blooms have been a growing problem in water bodies and attracted attention from researcher and water companies worldwide. Different treatment methods have been researched and applied either inside water treatment plants or directily into reservoirs. We tested a combination of coagulants, polyaluminium chloride (PAC) and iron(III) chloride (FeCl3), and ballasts, luvisol (LUV) and planosol (PLAN), known as the ‘Floc and Sink’ technique, to remove positively buoyant cyanobacteria from a tropical reservoir water. Response Surface Methodology (RSM) based on Central Composite Design (CCD) was used to optimize the two reaction variables – coagulant dosage (x1) and ballast dosage (x2) to remove the response variables: chlorophyll-a, turbidity, true color, and organic matter. Results showed that the combination of LUV with PAC effectively reduced the concentration of the response variables, while PLAN was ineffective in removing cyanobacteria when combined to PAC or FeCl3. Furthermore, FeCl3 presented poorer floc formation and lower removal efficienty compared to PAC. This study may contribute to the theoretical and practical knowledge of the algal biomass removal for mitigating eutrophication trough different dosages of coagulants and ballasts. © 2024, The Authors. All rights reserved.

关键词： Chlorine compounds

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Bacterial Cellulose Films for Biodegradable Packaging with Essential Oils

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Macromolecular Symposia 2024年第6期413卷

作者： Teixeira, Stefani Regina Zibetti Garcia, Michele Cristina Formolo Silva, Denise Abati Kasper Kurek, Ana Paula Schneider, AndréaLima dosSantos Pezzin, Ana Paula Testa Postgraduate Program in Process Engineering University of the Joinville Region – UNIVILLE SC Joinville89219-710 Brazil Department of Chemical Engineering University of the Joinville Region – UNIVILLE SC Joinville89219-710 Brazil

Petrochemical polymers provide most packaging materials in the food industry and cause environmental problems due to their non-biodegradability. Developing biodegradable polymers with additives is a strategy, and bacterial cellulose (BC) presents favorable properties for this application. This work aims to evaluate the effect of essential oils (EOs) of clove, cinnamon, basil, and oregano as additives in BC matrix for application in food packaging. BC membranes are synthesized by the bacteria Komagataeibacter hansenii and incorporated into EOs using ethanol as a solvent. The membranes are characterized by fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), antibacterial activity, and soil biodegradation. Furthermore, the samples are also tested for their antifungal potential on the surface of bread slices. FTIR analyses confirm the incorporation of EOs into BC membranes. TGA analysis indicates a slight increase in thermal stability for the incorporated samples. All samples show antibacterial potential, except BC, incorporated with the essential basil oil. The fungal analysis is performed by visually evaluating the appearance of filamentous fungi on the surface of the bread pieces. Soil biodegradation tests demonstrate mass loss for all membranes. © 2024 Wiley-VCH GmbH.

关键词： Cellulose

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National Resilience Index Model and Public Policy Simulation 7

National Resilience Index Model and Public Policy Simulation

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7th International Conference on Computing, engineering and Design, ICCED 2021

作者： Daihani, Dadan Umar Trisakti University Strategic Postgraduate Program Department of Industrial Engineering Lemhannas RI United States

ISBN: (纸本)9781665439961

Indonesia is one of the world's most populous archipelagic countries. Approximately 270 million people live on a total of 17 845 islands that straddle the middle of the equator. Indonesia is also a multi-ethnic country, having 931 ethnic groupings and 731 distinct dialects. The globe and geopolitics tensions are highly dynamic in the current period of globalization, and changes in one state will influence other countries. As a consequence, changes in a state's strategic environment might have an impact on its stability. These surroundings' influence can have a good impact or improve internal stability, but it can also have negative consequences that endanger internal stability. A state's resilience is determined by the flexibility of all elements of its sociopolitical existence, which is referred to as national resilience. In general, national resilience is described as an organization's capacity to foresee, plan for, respond to, and adapt to gradual change and abrupt shocks in order to survive and thrive. The application of national resilience index measurement is created utilizing the GIS method to determine the state of national resilience. This system is extremely beneficial for undertaking a diagnostic of national resilience conditions and changes in each region at all times. By evaluating national resilience, various strategies may be developed to anticipate diverse environmental effects. This technology may also be used to forecast future situations and generate multiple scenarios for countermeasures using a dynamic system approach. © 2021 IEEE.

关键词： Geographic information systems

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Analysis of the Causal Effects of Bus Lanes on Performance Indicators of Public Transport Corridors

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SSRN 2024年

作者： De Brito-Filho, Francisco Nilso Oliveira-Neto, Francisco Moraes Postgraduate Program in Transportation Engineering Department of Transportation Engineering Federal University of Ceará UFC Campus do Pici Bloco 703 Ceara Fortaleza60440-900 Brazil

Bus lanes are frequently recommended in the literature to enhance transit efficiency. However, the improvements reported by transport agencies following bus-only lane interventions often lack rigorous evaluation using causal inference methods. This gap raises concerns about potential biases and the omission of relevant covariates that could influence the outcomes. Addressing these issues is crucial, particularly in understanding both the direct and indirect effects of bus lanes on operational indicators like speed and reliability, given the cyclic relationship between transit level of service and ridership. This paper therefore investigates the causal relationships between the determinants of public transport operations and examines how these factors are altered by bus lanes. We aim to estimate the direct and indirect causal effects of such interventions using a comprehensive approach that begins with the creation of a mental map outlining the key determinants affecting public transport demand and performance. This is followed by the development of a causal diagram to estimate the impact of bus lane interventions. To demonstrate the practical application of this approach, we conducted a case study assessing bus lane interventions in the transit corridors of Fortaleza, Brazil, using observational data from the system's operation. Our findings contribute methodologically and practically by offering transport planners and practitioners a framework for assessing bus lanes effects on bus speed and reliability, as well as understanding how these lanes can indirectly influence these outcomes through increased ridership, stressing the importance of rigorous policy evaluation in public transport planning. © 2024, The Authors. All rights reserved.

关键词： Mass transportation

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Evaluating an e-Learning Platform at Graduate School Based on User Experience Evaluation Technique 3

Evaluating an e-Learning Platform at Graduate School Based o...

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3rd International Conference on Electrical, Electronics, Informatics, and Vocational Education, ICE-ELINVO 2020

作者： Abubakari, M.S. Nurkhamid Hungilo, G. Department of Electronics Engineering Education Postgraduate Program Universitas Negeri Yogyakarta Indonesia Department of Informatics Engineering Graduate Program University Atma Jaya Yogyakarta Indonesia

This study was aimed to evaluate the e-learning platform in a graduate school by using User Experience Questionnaire (UEQ). The data were collected from 65 respondents and analyzed using an excel data analysis tool. The results indicate that all six scales of the instrument are consistent except the novelty scale. Also, the calculated means of the scales are slightly positive as all values are greater than 0.8 compared to the UEQ benchmark. Although the respondents show a little positive impression with the platform, all scales means are below average category except efficiency scale which is above average as compared to the benchmark. This indicates that the platform needs more improvement in all aspects of user experience for it to be at least in a good category. The findings discussed in this paper are valuable for all academic stakeholders in various educational institutions which implement interactive e-learning systems as well as practitioners of user experience and developers of e-learning systems. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Learning systems

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Towards a Multimodal Automatic Equipment for Predictive Health Monitoring of Industrial Workers: A Usability Perspective

Towards a Multimodal Automatic Equipment for Predictive Heal...

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IEEE International Workshop on Medical Measurement and Applications (MEMEA)

作者： Leonardo Ormaza-Siguenza Leticia Silva Ana Cecilia Villa-Parra Teodiano Bastos-Filho Biomedical Engineering Research Group - GlIB Universidad Politecnica Salesiana Cuenca Ecuador Postgraduate Program in Electrical Engineering Universidade Federal do Espirito Santo Vitoria Brazil

ISBN: (数字)9798350307993

ISBN: (纸本)9798350308006

Ensuring the health and safety of workers in indus-trial environments is of utmost importance. In Brazil, Regula-tory Normatives (RNs) mandate Periodic Medical Examinations (PMEs), with the frequency of these examinations primarily determined by the level of risk to which workers are exposed. However, normally these examinations do not provide a real-time assessment of workers' health status. The aim of this study is to introduce the Integrated Portable Medical Assistant (IPMA), which is a multimodal equipment capable of automatically collecting biomedical data, such as oxygen saturation level, body temperature, and heart rate of users. This equipment aids in monitoring the health of industry workers through Machine Learning (ML) algorithms, and can store biomedical data for ongoing research and tracking the health condition of workers. Preliminary findings evaluating 14 workers and 2 doctors suggest promising results using this equipment in industries. In terms of equipment usability, the workers reported the IPMA to be highly user-friendly through evaluation conducted through the System Usability Scale (SUS) and the Post-Study System Usability Questionnaire (PSSUQ), which also provided average scores above 85 and 1.9, respectively. Overall, the IPMA shows promising potential for improving safety and well-being in industrial workplaces, and it may also contribute to reducing worker absenteeism due to some illness.

关键词： Industries Temperature distribution Machine learning algorithms Medical services Machine learning Real-time systems Sensors

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Hydrogel derived from water hyacinth and pectin from banana peel as a membrane layer

Hydrogel derived from water hyacinth and pectin from banana ...

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

作者： Elma, Muthia Kadek Devi Ananda Saraswati, Ni Fransiska Afrida Simatupang, Paskah Febriyanti, Retno Rahma, Aulia Ria Mustalifah, Fitri Chemical Engineering Department Engineering Faculty Lambung Mangkurat University Jl A. Yani Km 36 South Kalimantan Banajrbaru70714 Indonesia Magister Program of Chemical Engineering Faculty of Engineering Lambung Mangkurat University Jl. A. Yani KM 36 Banjarbaru70714 Indonesia Doctoral Program of Environemntal Science Postgraduate Program Lambung Mangkurat University Jl Brigjen H. Hasan Basri Kayutangi South Kalimantan Banjarmasin70123 Indonesia Lambung Mangkurat University Jl. A. Yani KM 36 Banjarbaru70714 Indonesia

Hydrogels is a unique material that affordable to apply as a membranes layer. In tropical country, such as Indonesia there is easily found water hyacinth (a weed plant) which is potentially used for hydrogels materials fabrication due to high cellulose content. Carboxymethyl cellulose (CMC) from water hyacinth cellulose and banana peels pectin are used to produce hydrogel for ultrafiltration membrane. The aims of this study are to characterize the functionalization of CMC-pectin membrane with different ratio using Fourier transform infrared spectroscopy (FTIR) and to determines the morphology of its membranes structure. The CMC was synthesized from water hyacinth stems through carboxymethylation. The functionalization group of multiple CMC-pectin membrane ratio is domination with carboxyl group (COO-), carbonyl stretching and carbon group. Meanwhile, CMC-pectin 70:30 wt% ratio displays not smooth structure. There is a water hyacinth stems extracted cellulose fibre on the surface of hydrogel CMC:pectin membrane. In other hand, the addition of pectin in all ratio variation exhibit increasing contact angle number from 63.98° to 68.16° (0-30 wt% pectin). The existence of pectin from banana peels on hydrogel membranes contributes to increase hydrophobicity of hydrogel-membrane, in spite of the contact angle value is below than 90°. © 2023 Elsevier Ltd. All rights reserved.

关键词： Membranes

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The effect of smart mirror environment on proprioception factors of children with Down syndrome

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Research on Biomedical engineering 2020年第2期36卷 187-195页

作者： Valencia-Jimenez, Nicolas da Luz, Sheila Santos, Dayse Souza, Mariane Bastos, Teodiano Frizera, Anselmo Postgraduate Program in Electrical Engineering Federal University of Espirito Santo Vitoria Brazil Postgraduate Program in Biotechnology Federal University of Espirito Santo Vitoria Brazil Postgraduate Program in Psychology Federal University of Espirito Santo Vitoria Brazil

Purpose: Down syndrome (DS) is the most common cause of intellectual disability worldwide and the most common genetic disorder, which generates problems regarding the functionality and independence to perform activities of daily living (ADLs). This study aims at developing a smart mirror environment (SME) to assist in the evaluation of proprioception skills in children with Down syndrome (CwDS) through an automated analysis of corporal movements with RGB-D camera. Methods: The SME is implemented following a clinical protocol to objectively elicit cognitive and proprioceptive skills, in addition to practical needs and requirements raised by psychologists and physical therapists. The system is proposed as a complement to conventional assessments and motor development evaluation, providing support to professionals in generating objective parameters for analysis during physical training and therapy. Results: The results demonstrate the significance of the parameters obtained in the assessment protocol with the virtual immersion generated by the SME, where the proprioception was evaluated and the kinesthetic sense was improved in 29.9%. In the same way, we found an important influence of the intervention with visual feedback, which can help CwDS to develop their skills more efficiently, such as in the body drawings made after using the SME, presenting human body design improvement compared with the drawings made before the interaction. Conclusion: This work enhances the importance of our quantitative assessment, which provides objective parameters of the proprioception progress in CwDS, indicating that they need more stimulation to satisfactorily develop certain body skills. © 2020, Sociedade Brasileira de Engenharia Biomedica.

关键词： Mirrors

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