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10th International Conference on Wave Mechanics and Vibrations, WMVC 2022

作者： da Silva Coelho, Jefferson de Sousa, Amanda Aryda Silva Rodrigues Machado, Marcela Rodrigues Dutkiewicz, Maciej Department of Mechanical Engineering University of Brasília Campus Universitário Darcy Ribeiro Faculdade de Tecnologia - Asa Norte DF Brasília Brazil Post-Graduate Program - Integrity of Engineering Materials University of Brasília Campus Universitário Darcy Ribeiro Faculdade de Tecnologia - Asa Norte DF Brasília70910-900 Brazil Faculty of Civil Environmental Engineering and Architecture University of Science and Technology Bydgoszcz85-796 Poland

ISBN: (纸本)9783031157578

Damage is defined as any change to the material, geometry or boundary condition that can modify the structure’s properties or response. In the past, damage identification was performed through periodical inspection, non-destructive testing/non-destructive evaluation, or visual observation. Structural health monitoring (SHM) has emerged to transition from offline damage identification to near real-time and online damage assessment. Hence, SHM is a damage detection strategy to monitor a structure for a period using a series of continuous measurement devices, which then collect the system’s characteristics and subsequently perform statistical analysis to assess the current circumstances and health of the structure. One of the first steps for the study of SHM is damage detection followed by monitoring. Machine Learning (ML) techniques can be used to develop viable algorithms to make potential predictions. ML algorithms are therefore providing the tools needed to enhance the capabilities of SHM systems and provide intelligent solutions to past challenges. Preliminary studies have reviewed that the extension of ML into SHM has dramatically increased the system’s capabilities, providing innovative solutions to different research challenges. This work conducts a study of the use of ML to identify damage in a beam and discuss the challenge of usage, performance and implementation of each technique. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Decision trees

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Modeling the welding process of the Low Alloy Ferritic Steels T/P23 and T/P24

Modeling the welding process of the Low Alloy Ferritic Steel...

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3rd International Conference on Manufacturing science and Engineering (ICMSE 2012)

作者： de Castro, Jose Adilson Xavier, Carlos Roberto Moreira, Luciano Pessanha Sazaki, Yasushi Federal Fluminense University Graduate Program on Metallurgical Engineering and Mechanical Engineering Volta Redonda RJ 27255-125 Brazil POSTECH GIFT South Korea UniFOA/Petrobras Três Poços - 27240-560 - Volta Redonda - RJ Av. Paulo E. A. Abrantes 1325 Brazil Environmental Laboratory Graduate Institute of Ferrous Technology Pohang University of Science and Technology Pohang 790-784 San 31 Hyojay-Dong Nam-Gu South Korea

ISBN: (纸本)9783037853719

In this paper a model based on transport equations is proposed to study the weldability of low alloy ferritic steels T/P23 and T/P24. The model was numerically implemented by using the finite volume method (FVM) in an open source computational code to simulate the influence of the heat input, base metal thickness and preheating temperature on the thermal evolution and the cooling rate during the welding process. Meanwhile, it was possible to evaluate qualitatively the microstructure at the heat affected zone (HAZ) of these steels when a single weld bead was deposited on their surface and calculate the maximum hardness reached at this region. A double-ellipsoid heat source model for power density distribution was used in order to obtain a good estimate of the cooling rate and evolution of the fusion zone (FZ). The results are discussed and good agreement between experimental and simulated results was obtained for temperature distribution.

关键词： Modeling T/P23 and T/P24 steels Weldability Hardness

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Purification crude extracellular protease of Saccharomycopsis fibuligera strain R64 isolated from Tape' indonesian fermented food

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Advance Journal of Food science and technology 2013年第8期5卷 1002-1004页

作者： Roostita, L.B. Putranto, W.S. Charoenchai, C. Wulandari, E. Gemilang, L.U. Faculty of Animal Husbandry University of Padjadjaran West Java Indonesia Faculty of Home Economics Technology Rajamangala Univ. of Technology Thanyaburi Thailand Graduate Program of Environmental Science University of Padjadjaran West Java Indonesia

The research aims to purify crude extracellular protease produced by Saccharomycopsis fibuligera strain R64 that isolated from tape' Indonesian fermented food. Saccharomycopsis fibuligera strain R64 was tested on Malt Extract Agar (MEA) that added 3% skim milk powder to discover the proteolytic activity. Extracellular protease purified with ammonium sulfate precipitation, dialysis and gel filtration chromatography with Sephadex G-100. Bradford method used to measure protein content, protease activity measured with Walter method and SDS-PAGE used to measure the molecule weight of protease. Results shown that isolated yeasts give 2-5 mm of clear zones on MEA that added with skim milk powder. Precipitations with 45% ammonium sulfate give the best protein content of 5.05 mg/mL and protease activity of 0.051 U/mL. After dialysis the protein content the protease activity were increased to 5.57 mg/mL and 0.0631 U/mL. Moreover, the gel filtration chromatography with sephadex G-100 yields 0.023 U/mL proteolytic activities, 2.1 mg/mL protein contents with 97.4 kD protease molecular weight. © Maxwell Scientific Organization, 2013.

关键词： Purification

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Rubber Plant Disease Diagnostic System Using Technique for Order Preference by Similarity to Ideal Solution

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Procedia Computer science 2019年 161卷 484-492页

作者： Ramadiani M. Syahrir Ramadhani Muhammad Labib Jundillah Azainil Faculty of Computer Science and Information Technology Mulawarman University Samrinda Indonesia Magister Program of Information System School of Post Graduate Studies Diponegoro University Semarang Indonesia Faculty of Teacher Training and Education Mulawarman University Samarinda Indonesia

Data from the Plantation Office of East Kalimantan Province, the area of rubber plantations has decreased every year. One of the factors that make productivity of rubber plants low is the presence of pests and diseases. The time limit of an expert is an obstacle in identifying rubber plantations. To overcome this problem, we need an expert system that can identify rubber plant diseases such as an expert. This system was developed to be able to provide solutions in diagnosing rubber plant diseases such as White Root Fungus (Rigidoporus micropus), Upas Mushroom Disease (Corticium salmonicolor), Antraknosa Disease (Colletorichum gloeosporoides), Skin Necrosis (Fusarium sp.), And Cancer Lines (Phytoptora palmivore). This study uses the TOPSIS method. There are four variables used as assessment criteria in this study, namely: the level of damage to the root, the level of damage to the stem, the level of damage to the leaves and the level of damage to the tapping path or the intensity of tapping, with preference values from 0 to 100; none, Very Light Intensity (1), Mild Intensity (3), Medium Intensity (5), Weight Intensity (7) and Very Heavy Intensity (9). Each weight value C1= 0.3; C2= 0.22; C3= 0.28; C4= 0.2. The results of this study compare manual calculations and calculations on the system obtained 99.99% accuracy. This system is expected to help facilitate rubber farmers in identifying diseases and can help experts.

关键词： Rubber Plant Disease East Kalimantan TOPSIS Expert System

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Improved Fine-Scale Tropical Forest Cover Mapping for Southeast Asia Using Planet-NICFI and Sentinel-1 Imagery

Journal of Remote Sensing

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Journal of Remote Sensing 2023年第1期3卷 280-295页

作者： Feng Yang Xin Jiang Alan D.Ziegler Lyndon D.Estes Jin Wu Anping Chen Philippe Ciais Jie Wu Zhenzhong Zeng School of Environmental Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Faculty of Fisheries Technology and Aquatic Resources Mae Jo UniversityChiang MaiThailand Graduate School of Geography Clark UniversityWorcesterMAUSA School for Biological Sciences and Institute for Climate and Carbon Neutrality The University of Hong KongHong KongChina State Key Laboratory of Agrobiotechnology The Chinese University of Hong KongShatinHong KongChina Department of Biology and Graduate Degree Program in Ecology Colorado State UniversityFort CollinsCO 80523USA Laboratoire des Sciences du Climat et de l’Environnement UMR 1572 CEA-CNRS-UVSQGif-sur-YvetteFrance

The accuracy of existing forest cover products typically suffers from“rounding”errors arising from classifications that estimate the fractional cover of forest in each pixel,which often exclude the presence of large,isolated trees and small or narrow forest clearings,and is primarily attributable to the moderate resolution of the imagery used to make ***,the degree to which such high-resolution imagery can mitigate this problem,and thereby improve large-area forest cover maps,is largely ***,we developed an approach to map tropical forest cover at a fine scale using Planet and Sentinel-1 synthetic aperture radar(SAR)imagery in the Google Earth Engine platform and used it to map all of Southeastern Asia’s forest *** machine learning approach,based on the Random Forests models and trained and validated using a total of 37,345 labels collected from Planet imagery across the entire region,had an accuracy of 0.937 and an F1 score of 0.942,while a version based only on Planet imagery had an accuracy of 0.908 and F1 of *** compared the accuracy of our resulting maps with 5 existing forest cover products derived from medium-resolution optical-only or combined optical-SAR approaches at 3,000 randomly selected *** found that our approach overall achieved higher accuracy and helped minimize the rounding errors commonly found along small or narrow forest clearings and deforestation frontiers where isolated trees are ***,the forest area estimates varied depending on topographic location and showed smaller differences in highlands(areas>300 m above sea level)but obvious differences in complex lowland ***,the proposed method shows promise for monitoring forest changes,particularly those caused by deforestation *** study also represents one of the most extensive applications of Planet imagery to date,resulting in an open,high-resolution map of forest cover for the entire Southeastern Asia region.

关键词： forest Forest frontier

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Applicability of zirconium loaded okara in the removal and recovery of phosphorus from municipal wastewater 4

Applicability of zirconium loaded okara in the removal and r...

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4th International Forum on Sustainable Future in Asia, IFSFA 2019

作者： Nguyen, T.A.H. Ngo, H.H. Guo, W.S. Pham, T.Q. Cao, T.H. Nguyen, T.H.H. Master's Program in Environmental Engineering VNU Vietnam Japan University Luu Huu Phuoc My Dinh 1 residential area Nam Tu Liem Hanoi Viet Nam 15 Broadway UltimoNSW2007 Australia Graduate University of Science and Technology Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Cau Giay Hanoi Viet Nam Faculty of Geology VNU University of Science 334 Nguyen Trai Thanh Xuan Hanoi Viet Nam

Recently, there is a new trend to consider wastewater as a precious resource. Since phosphorus is a limited non-renewable element, and MAP (Magnesium Ammonium Phosphate - MgNH4PO4.6H2O) is a valuable slow-release fertilizer, the recovery of phosphorous as MAP has received special attention from scientists all over the world. However, the application of this process with municipal wastewater is still a challenge, due to low concentration of phosphorus and high volume of municipal wastewater. This study investigates the potential of reclaiming MAP from municipal wastewater by combination of adsorption and crystallization. Soybean milk residue (okara) was loaded with Zirconium (Zr) to prepare the adsorbent (ZLO). Adsorption and desorption experiments were conducted in a semi-pilot scale ZLO packed colum system. Effects of P: N: Mg molar ratios, chemical sources and temperature on the formation of MAP were examined in an attempt to identify the optimal crystallization conditions. The attained precipitate was characterized using XRD, SEM, FTIR techniques. It was found that the ZLO packed column adsorption-desorption system could pre-concentrate phosphorus from municipal wastewater up to 28.36 times, fitting well the minimum requirement (50 mg P/L) for the economical MAP recovery. Up to 95.19% of dissolved phosphorus in desorption solution was recovered at pH = 9, Mg: N: P molar ratio = 2:2:1, using a combination of MgCl2.6H2O and NH4Cl. The harvested MAP exhibited high purity (92.59%), high P-availability (89% by mass), and extremely low levels of heavy metals. The results prove that it is viable to recover MAP from municipal wastewater by employing ZLO as adsorbent, followed by crystallization. This paves the way for mining phosphorus from municipal wastewater and reducing okara as an agricultural byproduct in a green way. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Phosphorus

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Early surveillance of rice bakanae disease using deep learning and hyperspectral imaging

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aBIOTECH 2024年第3期5卷 281-297页

作者： Sishi Chen Xuqi Lu Hongda Fang Anand Babu Perumal Ruyue Li Lei Feng Mengcen Wang Yufei Liu College of Biosystems Engineering and Food Science Zhejiang UniversityHangzhou 310058China State Key Laboratory of Rice Biology and Breeding Zhejiang UniversityHangzhou 310058China Computational Modeling and Nanoscale Processing Unit National Institute of Food TechnologyEntrepreneurship and Management-ThanjavurMinistry of Food Processing IndustriesThanjavur 613005India College of Environmental and Resource Sciences Zhejiang UniversityHangzhou 310058China Global Education Program for AgriScience Frontiers Graduate School of AgricultureHokkaido UniversitySapporo 060-8589Japan

Bakanae disease,caused by Fusarium fujikuroi,poses a significant threat to rice production and has been observed in most rice-growing *** disease symptoms caused by different pathogens may vary,including elongated and weak stems,slender and yellow leaves,and dwarfism,as *** disease is likely to cause necrosis of diseased seedlings,and it may cause a large area of infection in the field through the transmission of ***,early disease surveillance plays a crucial role in securing rice *** monitoring methods are both time-consuming and labor-intensive and cannot be broadly *** this study,a combination of hyperspectral imaging technology and deep learning algorithms were used to achieve in situ detection of rice seedlings infected with bakanae *** data were obtained on the 9th,15th,and 21st day after rice infection to explore the physiological and biochemical performance,which helps to deepen the research on the disease *** data were obtained over these same periods of infection,and a deep learning model,named Rice Bakanae Disease-Visual Geometry Group(RBD-VGG),was established by leveraging hyperspectral imaging technology and deep learning *** on this model,an average accuracy of 92.2%was achieved on the 21st day of *** also achieved an accuracy of 79.4%as early as the 9th *** characteristic wavelengths were extracted to increase the feasibility of using portable spectral equipment for field ***,the model offers an efficient and non-destructive surveillance methodology for monitoring bakanae disease,thereby providing an efficient avenue for disease prevention and control.

关键词： Bakanae disease Hyperspectral imaging Deep learning Early surveillance Disease monitoring

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On the Use of Surfactant for Precursor Solution Processing and Influence on the Properties of Tin Dioxide Thin Films

Research Square

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Research Square 2021年

作者： Fonseca, Lucas P. Pedrini, Luiz F.K. Lima, João V.M. Escaliante, Lucas C. Santos, Stevan B.O. Scalvi, Luis V.A. School of Sciences Department of Physics Bauru SP 17033-360 Brazil School of Sciences POSMAT - Post-Graduate Program in Materials Science and Technology Bauru SP 17033-360 Brazil

Tin dioxide (SnO2) thin films have several sorts of applications, including as gas sensors and in photocatalysis, where the surface area plays a relevant role. The use of the Triton X-100 non-ionic surfactant in the precursor solution processing has revealed as a fundamental aid to increase adhesion of the SnO2 film on the substrate. Moreover, the surfactant presence leads to a significant increase in the surface area of deposited thin films, and the roughness (rms) increases from 57.6 nm to 275 nm. The influence can also be observed in the XRD profiles, with a higher degree of crystallinity for Triton deposited films. It also increases the defect density and the electron scattering, leading to rather resistive films which are thermally excited only above room temperature. The activation energy for the defect ionization is rather high, 800 meV, but the thermal excitation takes place at a lower temperature range, compared to films prepared without Triton in the solution processing. The performance on photocatalysis is improved for films prepared with Triton X-100, since most of the methylene blue dye is degraded in the first 90 minutes when interacting with the sample. © 2021, CC BY.

关键词： Sol-gels

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Safety management on fire emergency response by VESDA applications at semiconductor plants

Safety management on fire emergency response by VESDA applic...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Chun-Ping Lin Chi-Min Shu Doctoral Program Graduate School of Engineering Science and Technology National Yunlin University of Science and Technology Yunlin Taiwan Process Safety and Disaster Prevention Laboratory Department of Safety Health and Environmental Engineering National Yunlin University of Science and Technology Yunlin Taiwan

To take an advantageous stance in the recent competition of semiconductor industries, companies have made efforts to invest terms of technological advancements. From 1993 to 2006, enormous fire accidents occurred in three national science parks in Taiwan. This research focused on whether the very early smoke detection apparatus (VESDA), could adequately assist the emergency response center (ERC) members to take actions when alarm occurs. Besides, the research also analyzed every VESDA alarm that happened from 2004 to 2006 for the purpose of increasing ERC personnel's experience and coordinating ERC with departments of safety management, environmental protection, facility engineering, and equipment sections together to investigate better solutions to related problems.

关键词： Disaster management Fires Electronics industry Accidents Smoke detectors Personnel Safety devices environmental management Engineering management Protection

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Of mice and cats: interspecific variation in prey responses to direct and indirect predator cues

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Behavioral Ecology and Sociobiology 2023年第1期77卷 1-15页

作者： Best, Ian Nicholas Shaner, Pei-Jen Lee Pei, Kurtis Jai-Chyi Kuo, Chi-Chien Biodiversity Program Taiwan International Graduate Program Academia Sinica Taipei Taiwan Department of Life Sciences National Taiwan Normal University No. 88 Sec. 4 Tingzhou Rd. Taipei City 116 Taiwan Department of Natural Resources and Environmental Studies National Dong Hwa University Hualien Taiwan Institute of Wildlife Conservation College of Veterinary Medicine National Pingtung University of Science and Technology Pingtung Neipu Taiwan

Abstract: Prey behavioral responses to predation risk cues may vary between species;moreover, the strength of these behaviors may differ depending on risk cue. In northwestern Taiwan, we used the giving up density (GUD) framework supported with camera trap observations to test how two wild murid rodents that differ by up to fivefold in body size (striped field mouse, Apodemus agrarius, and lesser rice-field rat, Rattus losea) altered their foraging behavior depending on microhabitat characteristics (indirect predator cues) and exposure to predator odors (direct predator cues) of three felids: the native leopard cat (Prionailurus bengalensis), the introduced domestic cat (Felis catus), and the exotic bobcat (Lynx rufus). GUD was not affected by predator odors but rather by microhabitat type;rodents removed more seeds under the cover of vegetation compared to exposed food stations, which may reflect a proactive approach to avoiding high-risk areas in a heterogeneous environment. The smaller mouse, A. agrarius, spent more time foraging in experimental food patches compared to the larger rat, R. losea, irrespective of predator odor. Conversely, R. losea spent more time investigating stations and exhibiting vigilance compared to A. agrarius. Species-level differences are consistent with behavioral phenomenon that smaller, “faster” species confer more boldness compared to larger, “slower” species, which reinforces the connection between behavior and pace of life, and further elucidates how the behavior of different prey species may not be interchangeable in contexts of risk. Significance statement: In the wild, animals eat while trying not to be eaten. Therefore, preys often change their behavior in response to risk cues, but the intricacies of these behavioral shifts can be complex and vary between species. With the use of camera trap monitoring and experimental food patches, we were able to examine fine-scale species-specific behaviors and test for dissimilarities. Two

关键词： Behaviors Foraging Giving up density (GUD) Microhabitat Predation risk Vigilance

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