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A Comparison of Shear Strength of Box-section Beam Made of Sliced-laminated Dendrocalamus Asper Under Torsion and Transversal Load

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Procedia engineering 2014年 95卷 38-42页

作者： Karyadi Sri Murni Dewi Agoes Soehardjono MD Doctoral Student at Master and Doctoral Program Faculty of Engineering Brawijaya University Indonesia and Lecturer at Civil Engineering Faculty of Engineering Malang State University65145 Indonesia Professor at Civil Engineering Department Faculty of Engineering Brawijaya University 65145 Indonesia

This study was purposed to compare shear strength of box-section beams based on torsion test, and shear strength based on four point bending test. Eight beams for torsion test and nine beams for four point bending test of laminated Dendrocalamus Asper (Petung bamboo) bonded with 268 g/m 2 of urea formaldehyde were made for this research. The beams were engineered using cool-pressed by 2,0 MPa for 4 hours. The sizes of square-section of the beams are 80 mm, 120 mm, and 160 mm with 15 mm, 20 mm, and 25 mm thick. Based on the torsion test, the research showed that the maximum shear stress was in the range of 4.39 MPa to 10.13 MPa with an average of 6.50 MPa. Shear modulus of the beam was in the range of 690.68 MPa to 1,072.28 MPa with the average of 902.10 MPa. Using four point bending test, the research results showed that the maximum shear stress was in the range of 2.86 MPa to 4.85 MPa with the average of 4.06 MPa. Modulus of elasticity of the beam was in the range of 11,363.37 MPa to 15,739.23 MPa with the average of 13,502.30 MPa. The maximum shear stress based on the torsion test was significantly differed to the maximum shear stress based on the four point bending test.

关键词： Box-section Dendrocalamus Asper Laminate Shear.

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From the Field: Neck lesions in ungulates from collars incorporating satellite technology

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Wildlife Society Bulletin 2019年第3期32卷

作者： Paul R. Krausman Vernon C. Bleich James W. Cain III Thomas R. Stephenson Don W. DeYoung Philip W. McGrath Pamela K. Swift Becky M. Pierce Brian D. Jansen California Department of Fish and Game 407 West Live Street Bishop CA 93514 USA University Animal Care The University of Arizona Tucson AZ 85721 USA. James W. Cain III(top second from left) is a graduate research assistant working towards his Ph.D. in wildlife ecology at the University of Arizona Tucson. He is studying the habitat relationships of desert bighorn sheep in Cabeza Prieta National Wildlife Refuge Arizona. He received his B.S. degree in biology from Colorado State University in 1997 and an M.S. degree in Biological conservation from California State University Sacramento in 2001. Don W. DeYoung(top third from left) received his D.V.M. from Michigan State University and Ph.D. from Colorado State University. He is a Diplomate from the American College of Veterinary Surgeons. Don has worked at the University of Arizona Tucson since 1979 and is the Associate Director of University Animal Care and has been involved with numerous studies of wildlife. Brian D. Jansen(top right) is a graduate research assistant working towards his M.S. degree in wildlife ecology at the University of Arizona Tucson. He is studying desert bighorn sheep responses to disease and mining in the Silver Bell Mountains Arizona. He received his B.S. in wildlife from the University of Arizona in 2002. Vernon C. Bleich(bottom left) received B.S. and M.A. degrees from California State University Long Beach and a Ph.D. from the University of Alaska Fairbanks (UAF). He is a senior environmental scientist with the California Department of Fish and Game (CDFG) where he supervises the Sierra Nevada Bighorn Sheep Recovery Program (SNBSRP) and directs the Round Valley Project a long-term effort examining relationships between habitat quality prey densities and populations of mule deer and mountain sheep in the eastern Sierra Nevada. He has been a Professional Member of the Boone and Crockett Club since 1999 and in 2002 received the Outstanding Alumnus Award from the College of Science Engineering and Mathematics at UA

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Surface modification of yttria-stabilized tetragonal zirconia with different glass based liners

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Dental Materials 2016年 32卷 e95-e96页

作者： D. Silva-Herzog Rivera D. Masuoka-Ito L.O. Sanchez-Vargas J.L. Menchaca-Arredondo A. Aragón-Piña B.I. Cerda-Cristerna Institutional Doctoral Program of Engineering and Materials Science Universidad Autónoma De San Luis Potosí México Mexico Dentistry Department Universidad Autónoma De Aguascalientes México Mexico Faculty of Physics and Mathematics Universidad Autónoma De Nuevo León México Mexico Research Center and Post-Graduate Studies Universidad Autónoma De San Luis Potosí México Mexico Faculty of Dentistry Río Blanco Universidad Veracruzana-Región Córdoba-Orizaba México Mexico

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Anaerobic sequencing batch reactor in pilot scale for treatment of tofu industry wastewater

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AIP Conference Proceedings 2015年第1期1699卷

作者： Suparni Setyowati Rahayu Purwanto Budiyono 1Doctoral Program in Environmental Science University of Diponegoro Semarang Indonesia 2Department of Mechanical Engineering State Polytechnic of Semarang Semarang Indonesia 3Department of Chemical Engineering Faculty of Engineering Diponegoro University Semarang Indonesia

The small industry of tofu production process releases the waste water without being processed first, and the wastewater is directly discharged into water. In this study, Anaerobic Sequencing Batch Reactor in Pilot Scale for Treatment of Tofu Industry was developed through an anaerobic process to produce biogas as one kind of environmentally friendly renewable energy which can be developed into the countryside. The purpose of this study was to examine the fundamental characteristics of organic matter elimination of industrial wastewater with small tofu effective method and utilize anaerobic active sludge with Anaerobic Sequencing Bath Reactor (ASBR) to get rural biogas as an energy source. The first factor is the amount of the active sludge concentration which functions as the decomposers of organic matter and controlling selectivity allowance to degrade organic matter. The second factor is that HRT is the average period required substrate to react with the bacteria in the Anaerobic Sequencing Bath Reactor (ASBR).The results of processing the waste of tofu production industry using ASBR reactor with active sludge additions as starter generates cumulative volume of 5814.4 mL at HRT 5 days so that in this study it is obtained the conversion 0.16 L of CH4/g COD and produce biogas containing of CH4: 81.23% and CO2: 16.12%. The wastewater treatment of tofu production using ASBR reactor is able to produce renewable energy that has economic value as well as environmentally friendly by nature.

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An Ethernet sniffer for On-line acquisition of EEG with the BrainNet36® device applied to a BCI

An Ethernet sniffer for On-line acquisition of EEG with the ...

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Biosignals and Biorobotics Conference (BRC), ISSNIP

作者： Alessandro Botti Benevides Anibal Cotrina Atencio Javier Castillo Teodiano Freire Bastos Filho Alessander Botti Benevides Electrical Engineering Post-Graduate Program Federal University of Espirito Santo Vitória Espírito Santo Brazil ICT Doctoral School University of Trento Trento Trentino Italy

This paper presents an Ethernet sniffer programmed in ANSI C to export in an on-line way the electroencephalographic (EEG) data acquired with the device BrainNet36 ® , which is a Brazilian EEG device for clinical and polysomnography purposes. The sniffer proved to be useful for off-line analysis of the EEG and also for on-line applications, as Brain Computer-Interfaces (BCIs). Despite its limitations and packet losses at around 1.7% due to noise, the off-line analysis of the EEG successfully replicated results of the literature regarding the Event-Related (De)Synchronization (ERD/ERS) and Evoked Potentials (EPs) calculated for mental tasks. For on-line applications the sniffer was used to program a single-switch BCI for on-line classification of motor and no motor mental tasks with high success rate. Nowadays, the BrainNet36 ® device is being used for EEG research at many Brazilian universities, therefore, we hope that this article may encourage on-line applications. Finally, as the sniffer operation is explained here with examples, this text may serve as a reference guide for potential user's.

关键词： Electroencephalography Electrodes Educational institutions Noise Scalp Protocols MATLAB

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Modeling and control of flow with dynamical boundary actions

Modeling and control of flow with dynamical boundary actions

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Conference on Control Applications

作者： André F. Caldeira Christophe Prieur Daniel Coutinho Valter J. S. Leite pursuing a doctoral degree on the Graduate Program on Systems and Control Engineering (PPGEAS) at the Universidade Federal de Santa Catarina (UFSC) PO BOX 476 88040-900 Florianópolis SC Brazil and at GIPSA-lab Grenoble Department of Automatic Control Grenoble Campus Grenoble Image Parole Signal Automatique (GIPSA-lab) 11 rue de Mathématiques B.P. 46 38402 Saint Martin d'Heres France DAS-CTC UFSC PO BOX 476 88040 - 900 Florianópolis SC Brazil CEFET-MG/Campus Divinópolis R. álvares Azevedo 400 35503 - 822 Divinópolis MG Brazil

ISBN: (纸本)9781479977970

In this paper a flow inside a pipe is modeled by a hyperbolic system (written in terms of a partial differential equation). One boundary condition is given by the coupling with a finite-dimensional dynamic model of heating column and a static modeling of ventilator. Then, the classical finite-dimensional technique is applied for the linearization of first order hyperbolic systems with dynamics associated to the boundary conditions. The discretization of the infinite-dimensional system is used and an augmented discrete linear system with dimension depending on the step size of discretization in space is obtained. The results are illustrated on simulations considering a Poiseuille flow experimental setup.

关键词： applied linearization experimental setup

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Comparative study of leaf image recognition with a novel learning-based approach

Comparative study of leaf image recognition with a novel lea...

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Science and Information Conference (SAI)

作者： Jou-Ken Hsiao Li-Wei Kang Ching-Long Chang Chih-Yang Lin Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan Graduate School of Engineering Science and Technology-Doctoral Program National Yunlin University of Science and Technology Yunlin Taiwan Department of Computer Science and Information Engineering Asia University Taichung Taiwan

Automatic plant identification via computer vision techniques has been greatly important for a number of professionals, such as environmental protectors, land managers, and foresters. In this paper, we conduct a comparative study on leaf image recognition and propose a novel learning-based leaf image recognition technique via sparse representation (or sparse coding) for automatic plant identification. In our learning-based method, in order to model leaf images, we learn an overcomplete dictionary for sparsely representing the training images of each leaf species. Each dictionary is learned using a set of descriptors extracted from the training images in such a way that each descriptor is represented by linear combination of a small number of dictionary atoms. Moreover, we also implement a general bag-of-words (BoW) model-based recognition system for leaf images, used for comparison. We experimentally compare the two approaches and show unique characteristics of our sparse coding-based framework. As a result, efficient leaf recognition can be achieved on public leaf image dataset based on the two evaluated methods, where the proposed sparse coding-based framework can perform better.

关键词： Image recognition Dictionaries Training Feature extraction Shape Vectors Image coding

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Methodology to Improve the Capture of the Subsoil's Heat for Solar Radiation, in the Heating Mode of Geothermal Heat Pump System

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Energy Procedia 2014年 57卷 2686-2695页

作者： Agustín Torres Rodríguez David Morillón Gálvez Daniel Aldama Ávalos Doctoral Program in Architecture UNAM Del Carmen Coyoacán Mexico City 04510 Mexico Institute of Engineering UNAM Del Carmen Coyoacán México City 04510 Mexico Faculty of Higher Studies Aragon National Autonomous University of Mexico 57178 Mexico State Mexico

The document shows the methodology of how to improve the capture of the subsoil's heat due to solar radiation. It was divided in 4 sections: a proper selection of advanced climatic alternating system's capacity, a reduction in diameter and length of geothermal coil, the study of the speed heat gain in the subsoil and the thermal behavior as deposit of heat. The wet sand was suggested as the deposit of heat and a series of steps were set to evaluate 3 physical variables. The results show that 4 sections are closely related to improvement in the capture of the heat subsoil.

关键词： Coil geothermal heat pump system heating methodology solar radiation wet sand

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Learning sparse representation for leaf image recognition

Learning sparse representation for leaf image recognition

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Jou-Ken Hsiao Li-Wei Kang Ching-Long Chang Chao-Yung Hsu Chia-Yen Chen Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan Graduate School of Engineering Science and Technology-Doctoral Program National Yunlin University of Science and Technology Yunlin Taiwan Institute of Information Science Taipei Taiwan Department of Computer Science and Information Engineering National University of Kaohsiung Taiwan

Automatic plant identification via computer vision techniques has been greatly important for a number of professionals, such as environmental protectors, land managers, and foresters. In this paper, a novel leaf image recognition technique via sparse representation is proposed for automatic plant identification. In order to model leaf images, we learn an overcomplete dictionary for sparsely representing the training images of each leaf species. Each dictionary is learned using a set of descriptors extracted from the training images in such a way that each descriptor is represented by linear combination of a small number of dictionary atoms. For each test leaf image, we calculate the correlation between the image and each learned dictionary of leaf species to achieve the identification of the leaf image. As a result, efficient leaf recognition can be achieved on public leaf dataset based on the proposed framework leading to a more compact and richer representation of leaf images compared to traditional clustering approaches. Moreover, our method is also adapted to newly added leaf species without retraining classifiers and suitable to be highly parallelized as well as integrated with any leaf image descriptors/features.

关键词： Image recognition Dictionaries Training Feature extraction Shape Educational institutions Computer vision

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Disaster Risk and Adaptation of Settlement along the River Brantas in the Context of Sustainable Development, Malang, Indonesia

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Procedia Environmental Sciences 2014年 20卷 602-611页

作者： Sri Utami Soemarno Surjono M. Bisri Student of Doctoral Program on Environment and Development Studies University of Brawijaya Malang East Java Indonesia Department of Architecture Faculty of Engineering University of Brawijaya Malang East Java Indonesia Department of Soil Sciences Faculty of Agriculture University of Brawijaya Malang East Java Indonesia Department of Urban and Regional Planning Faculty of Engineering University of Brawijaya Malang East Java Indonesia Department of Water Resources Faculty of Engineering University of Brawijaya Malang East Java Indonesia

Embong Brantas Area in Malang is one of vulnerable areas to flood. Objectives of the research were to analyze: 1) the disaster risk at Embong Brantas Area, in which vulnerability and hazard are variables of the research, 2) social adaptation that applies variables of land status, length of stay, education, income, numbers of the family member, type of buildings, and experience in disaster. Based on result of the analysis using GIS, it shows that 1.2 ha of Embong Brantas Area has high risk of flood, particularly in the next 100 years. Based on multiple regression analysis, status of land has affected 0.216 on adaptation of settlement by the community at the flood plains.

关键词： Adaptation Embong Brantas Disaster

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