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SSRN 2024年

作者： da Cunha, Luís Filipe Brasil Júnior, José Ary da Silva Sampaio, Athos de Oliveira Gonçalves, Eduarda Lorrany Sousa da Rocha Menezes, Leonardo Junior Barata, Márcio Santos Zemero, Bruno Ramos Faculty of Architecture and Urbanism Federal University of Para Brazil Postgraduate Program in Architecture and Urbanism Federal University of Para Brazil Postgraduate Program in Mechanical Engineering Federal University of Para Brazil

Urban planning and changes in the physical-chemical conditions of space resulting from it in the built area affect the energy efficiency and thermal performance of buildings, as guided by energy performance guidelines. The absence of computational simulations that integrate the urban and building scales generates uncertainties in the data. Recent studies highlight differences in results when considering urban configurations. In this work, a methodology was developed for these integrated computational simulations, ensuring precise results regarding potential impact. Softwares Urban Weather Generator (UWG), Climate Change World Weather Generator (CCWWG) and ENVI-met program was used to simulate local and global climate changes, and for use as input in EnergyPlus to simulate thermal performance of a social housing. The results reveal a significant impact of the urban heat islands and global warming on the exterior thermal comfort and building performance, reducing habitability and requiring air conditioning almost all year round, in the future climates. © 2024, The Authors. All rights reserved.

关键词： Energy efficiency

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Classification algorithm for wheelchair operation in real conditions using POF-based pressure sensors

Classification algorithm for wheelchair operation in real co...

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Latin American Electron Devices Conference (LAEDC)

作者： A. X. Gonzalez-Cely C.F. Blanco-Díaz Camilo A.R. Díaz T. Bastos-Filho Robotics and Assistive Technology Laboratory Postgraduate Program in Electrical Engineering Federal University of Espírito Santo Vitoria Brazil Telecommunications Laboratory Postgraduate Program in Electrical Engineering Federal University of Espírito Santo Vitoria Brazil

ISBN: (数字)9798350361292

ISBN: (纸本)9798350361308

A real-time implementation of a classification system is proposed here to operate an electric-powered wheelchair. The proposed framework innovatively integrates Polymeric Optical Fiber (POF)-based pressure sensors, positioned within a neck pillow, to effectively capture critical user-specific pressure data emanating from the user’s neck region. The system considered the mechanical variations presented in the dataset construction owing to the movement generated by the wheelchair. To mitigate this inherent noise, an indispensable preprocessing stage is introduced, and a feature extraction stage is performed considering the variance, Root Mean Square (RMS), Crest Factor Margin (CMF), and Margin Factor (MF) in the time domain. This augmentation enhances the discriminative capacity of the feature representation and, consequently, enhances the classification performance. A fine k-Nearest Neighbors (kNN) was able to distinguish four neck movements: forward, right, left, and back, with performance metrics of: 80.39% (Accuracy), 87.09% (AUC), and 19.40% (False Positive Rate). This work contributes to the development of new strategies for the implementation of more robust power wheelchair controllers by integrating machine learning and optical fiber sensors, in order to assist people with disabilities.

关键词： Pressure sensors Optical fiber sensors Accuracy Wheelchairs Neck Classification algorithms Polymers

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Development of active cassava starch foam, through different methods of incorporating thyme essential oil

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Brazilian Journal of Chemical engineering 2025年 1-19页

作者： Bohnenberger, Nayara Taíne Pozzebon, Gabriela Gauger, Larissa Rambo Yudice, Eliana Della Coletta Francisquetti, Édson Luiz Romanzini, Daiane Postgraduate Program in Materials Technology and Engineering (PPGTEM) Federal Institute of Rio Grande Do Sul (IFRS) Feliz Brazil Santo André Regional Center Adolfo Lutz Institute Santo André Brazil Postgraduate Program in Materials Technology and Engineering (PPGTEM) Federal Institute of Rio Grande Do Sul (IFRS) Farroupilha Brazil

This study aimed to evaluate two methods of producing active cassava starch foams: one through the incorporation of a clay hybrid into the formulation, which contained 18.88 wt% of thyme essential oil, and the other through the application of the essential oil to the surface of the foams. For the latter, the minimum inhibitory and bactericidal concentrations of this substance were adopted, which were 12.5 and 25% (v.v−1), respectively. When comparing the incorporation techniques, the foam containing the clay hybrid exhibited greater thermal stability. However, the sample in which 25% (v.v−1) of the essential oil was applied to the surface presented smaller and more closed-air cells, a 73% higher impact resistance, and 18.22% lower water absorption rate. This sample also presented inhibition zones of 2,82 ± 0,22 cm; 2,85 ± 0,15 cm, and 2,39 ± 0,22 cm against S. aureus, S. enterica and E. coli, respectively. Although the presence of thyme essential oil was confirmed via Fourier-transform infrared spectroscopy in the foam containing the clay hybrid, this sample did not exhibit antimicrobial properties. Therefore, among the methods analyzed, surface application was the most effective, representing a promising alternative for application in food packaging, especially for products containing low water content.

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Multifunctional Structure for Temperature Measurement in Different Environmental Conditions

Multifunctional Structure for Temperature Measurement in Dif...

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Optical Fiber Sensors (LAWOFS), Latin American Workshop on

作者： Robertson Pires-Junior Arnaldo Leal-Junior Anselmo Frizera Federal University of Espírito Santo Electrical Engineering Postgraduate Program Vitória Brazil

ISBN: (数字)9786589532026

ISBN: (纸本)9798350362725

This article presented the development of a multifunctional structure for temperature monitoring in different environments. This multifunctional structure was manufactured using a commercial resin used in 3D printing and an optical fiber inscribed with a Bragg grating (FBG). Then, the structure was subjected to different tests to investigate the influence of the effects of humidity and temperature on the Bragg grating wavelength $(\lambda_{B})$ . In the first test, it was submerged in a reservoir with water, while in the second the structure was positioned inside a climate chamber. It was observed in the results that the moisture absorbed by the resin has less influence on the variation of λ $B$ than temperature. Furthermore, the multifunctional structure showed a temperature sensitivity of 33.02 pm/°C in the temperature range of 25°C to 40°C.

关键词： Temperature measurement Temperature sensors Temperature distribution Optical fiber sensors Sensitivity Fiber gratings Three-dimensional printing

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State of the Art: Fragility Function of Electrical Power System 6

State of the Art: Fragility Function of Electrical Power Sys...

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6th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2023

作者： Sahnur Nasution, Elvy Syahrial, Syahrial Devi Sara, Ira Away, Yuwaldi Postgraduate School of Engineering Universitas Syiah Kuala Universitas Muhammadiyah Sumatera Utara Doctoral Program Banda Aceh23111 Indonesia Universitas Syiah Kuala Dept. Electrical and Computer Engineering Banda Aceh23111 Indonesia

ISBN: (纸本)9798350358346

Natural disasters, particularly earthquakes, can cause the electric power system to collapse, which can be brought on by one of the infrastructure breakdowns in the power system. Damaged power system can cause losses to electricity providers, electricity users, so it is necessary to understand the vulnerability of electric power system assets to earthquakes. The research fragility function presents the concept of fragility function in power system of the entire power system, showed fragility of power plant, transmission line, tower transmission, transformers, generator, and substation. Substation is more fragile than the others because substation consist of circuit breaker and disconnecting switch the most fragile asset. In addition, this paper also presents how to creating the fragility function and several solutions to increase the resilience of the electric power system to earthquakes. © 2023 IEEE.

关键词： Earthquakes

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Impact Of WC Addition And High-Energy Milling Time On The Properties Of Cu-WC Composite Powders

Impact Of WC Addition And High-Energy Milling Time On The Pr...

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2024 European Powder Metallurgy Congress and Exhibition, Euro PM 2024

作者： Queiroz e Silva, Thalita Mashhadikarimi, Meysam Vieira, Pâmala Samara Marques, Anderson Costa Dos Santos Vasconcelos, Gabriel Dos Santos, Lucas Marques Materials Science and Engineering Postgraduate Program Federal University of Rio Grande do Norte Natal59078-970 Brazil School of Science and Technology Federal University of Rio Grande do Norte Natal59078-970 Brazil

ISBN: (纸本)9781899072583

Composites formed by a copper matrix, reinforced by a ceramic and refractory material, stand out due to their relevance in electrical conductor applications. In this context, this study investigated the hardening of copper powder with the addition of different concentrations of tungsten carbide (5, 10, 15 and 20% by weight) prepared by high-energy milling (HEM) for 1, 2, 5, 10 and 20 hours. The powders were characterized by SEM, XRD and Vickers microhardness. The results showed that the milling method was efficient for obtaining Cu-WC composites, with strong bonds between the phases. The diffractograms showed characteristic copper and tungsten carbide peaks, with no secondary phases. The Vickers microhardness value is directly related to the amount of WC and the milling time;consequently, the 20% WC composite powder milled for 20 hours had a microhardness of 251 HV, exceeding the values of the other powders. © European Powder Metallurgy Association (EPMA)

关键词： Microhardness

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Evaluation of maintenance management of a thermoplastic industry using maintenance maturity model

Evaluation of maintenance management of a thermoplastic indu...

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2022 International Conference on Industry Sciences and Computer Science Innovation, iSCSi 2022

作者： De Andrade, Wagner W.A. De Oliveira, Marcelo A. Vieira, Raimundo K. Postgraduate Program in Production Engineering Federal University of Amazon Rodrigo Octavio Ave. 6200 Manaus69080-900 Brazil

The present work focuses on a case study applying a maintenance management system model based on the degree of maturity in a thermoplastic industry that operates in the Industrial Pole of Manaus, in the state of Amazonas (Brazil). The system must support the decisions of the organization and promote progress in the company's continuous improvement system. The study was based on the answers to a questionnaire submitted to the maintenance, production and process engineering sectors. Internal perception was compared with external perception, in order to perform an analysis of the field of view of the three sectors on the current position of the maintenance sector in relation to the maturity model used for this analysis. From the application of the model, it was possible to develop a strategic action plan, based on lean practices, so that the maintenance areas advance towards the higher levels of the maturity scale, aiming to reach and maintain performance levels recognized as excellence. © 2022 Elsevier B.V.. All rights reserved.

关键词： Maintenance

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Biochar influences the cane fields’microbiota and the development of pre-sprouted sugarcane seedlings

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Waste Disposal and Sustainable Energy 2023年第1期5卷 75-88页

作者： Bruna Cristina Pinto Adriana Barboza Alves Osania Emerenciano Ferreira Gustavo Henrique Gravatim Costa Magno Andréde Oliveira Augusto Cesar da Silva Bezerra Alan Rodrigues Teixeira Machado Postgraduate Program in Environmental Sciences State University of Minas GeraisFrutal UnityFrutalMinas Gerais38202-436Brazil Department of Agricultural and Biological Sciences State University of Minas GeraisFrutal UnityFrutalMinas Gerais38208-436Brazil Postgraduate Program in Geotechnical Engineering Federal University of Ouro PretoOuro PretoMinas Gerais35400-000Brazil Department of Transport Engineering Federal Center for Technological Education of Minas GeraisBelo HorizonteMinas Gerais30421-169Brazil Department of Exact Sciences State University of Minas GeraisJoão Monlevade UnityJoão MonlevadeMinas Gerais35930-314Brazil

This research investigates the soil conditioning effect of sugar cane fields with biochar produced from sugarcane *** influence on the physicochemical and microbiological conditions of the soil and the agronomic performance of sugarcane seedlings was *** this end,the biochar from sugarcane bagasse was produced by pyrolysis in a double drum oven and mixed with soil at rates of 0,1%,3%,and 5%(in weight).The experiment was installed in a greenhouse with two evaluation periods(30 days and 60 days)and five *** pot received a pre-sprouted cane seedling,and the analysis of colony-forming units(bacteria and fungi),physicochemical characteristics of the soil,and growth and development of sugarcane were performed per *** biochar showed a high fixed carbon content(72%)and a specific surface area estimated by the adsorption of methylene blue of 50 m2 g−***,its structure is porous and contains important nutrients(e.g.,CaO,K2O,and P2O5).In the periods evaluated,the applications of the 3%and 5%(in weight)rates of biochar reduced most of the soil fertility ***,the chemical analyses indicated that the sugarcane field soil collected already possessed high *** microbiota was influenced,but only the application of the 3%(in weight)rate at 60 days after planting showed a significant positive effect on the number of bacteria forming units,with an increase of approximately 385%.On the other hand,no significant positive effect on sugarcane development was ***,biochar application in high-fertility sugarcane plantation soil did not result in gains for sugarcane development in the periods evaluated.

关键词： Soil Biometry Microbiology Double drum oven Biochar

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Design, manufacturing and characterization of a polymer optical fiber pressure sensor for to posture monitoring applied in a wheelchair

Design, manufacturing and characterization of a polymer opti...

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Latin America Optics and Photonics Conference, LAOP 2022

作者： González-Cely, Aura Ximena Díaz, Camilo A.R. Bastos-Filho, Teodiano Freire Segatto, Marcelo Eduardo Vieira Pontes, Maria José Postgraduate Program in Electrical Engineering Federal University of Espirito Santo Av. Fernando Ferrari 514-Goiabeiras Vitoria Brazil

A low-cost system based on Polymer Optical Fiber pressure sensors fabricated in a 3D structure was developed to monitoring posture in a wheelchair. The system was characterized by tensile tests with a response time of... 详细信息

ISBN: (纸本)9781957171135

关键词： Pressure sensors

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Comparing Classification Algorithms to Analyze Twitter Sentiment on Public Opinion on Fuel Oil 24

Comparing Classification Algorithms to Analyze Twitter Senti...

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24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023

作者： Widarma, Gita Novita, Rice Mustakim Rozanda, Nesdi Evrilyan Universitas Islam Negeri Sultan Syarif Kasim Riau Graduate Program Information Systems Department Pekanbaru Indonesia Postgraduate Programs Universitas Negeri Padang Information Systems Pekanbaru Indonesia Postgraduate Programs Institut Pertanian Bogor Master of Informatics Engineering Pekanbaru Indonesia Postgraduate Programs Universiti Teknologi Malaysia Master of Information Systems Management Pekanbaru Indonesia

ISBN: (纸本)9798350313956

Twitter is currently used as one of the applications that is often used to convey opinions or unrest by the public such as the current issue that is currently rife, namely regarding the increase in fuel oil prices (BBM) in Indonesia. With so much data scattered in a tweet that only consists of a few fragments of words, there must be valuable information or meaning that Twitter users want to convey. Text mining is a very appropriate method to do the analysis because in text mining there is a method that focuses on an opinion which will be concluded into positive and negative opinions. There are several algorithms that are most often used in data mining, namely K-Nearest Neighbor, Decision Tree, and Naive Bayes. The three algorithms used in this study were also compared with the use of feature selection Particle Swarm Optimization (PSO) which is well known for improving the performance of algorithms. There are 2165 negative opinion data and 2835 positive sentiment data. The data will be tried based on distinctive sums of data namely 1000 data, 3000 data, and 5000 data. The classic K-Nearest Neighbor algorithm obtained an accuracy result of 75.60% and made it the best when tested with 1000 data. The use of Particle Swarm Optimization (PSO) is proven to improve accuracy as when tested using 3000 data with an accuracy value of 78.21% on the K-Nearest Neighbor algorithm. In the mean time, in testing 5000 Data, the classic K-Nearest Neighbor once more gotten the most elevated exactness with a esteem of 74.02%. © 2023 IEEE.

关键词： Decision trees

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