检索结果-内蒙古大学图书馆

SSRN 2022年

作者： Cenggoro, Tjeng Wawan Elwirehardja, Gregorius Natanael Dominic, Nicholas Setiawan, Karli Eka Rahutomo, Reza Djuana, Endang Gunawan, Fergyanto E. Budiman, Arief S. Romeli, Sugiarto Pardamean, Bens Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Electrical Engineering Department Faculty of Industrial Technology Universitas Trisakti Jakarta11440 Indonesia Industrial Engineering Department BINUS Graduate Program Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Department of Manufacturing and Mechanical Engineering and Technology Oregon Institute of Technology Klamath FallsOR97601 United States PT. Impack Pratama Industri Jakarta Indonesia

Drying has been an eco-friendly and cost-efficient method to reduce post-harvest losses of agricultural crops. In various countries, the technique has been widely utilized in the form of Solar Dryer Dome (SDD) buildings. Accurate indoor microclimate forecasting is very important to implement smart control systems in SDDs that can maintain the ideal conditions, as the availability of solar energy is limited only at daytimes and the temperature may drop significantly during nighttimes in remote areas. The microclimate variables that play an important role in maintaining ideal environmental conditions include temperature and relative humidity. © 2022, The Authors. All rights reserved.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Nanomaterials in the treatment and diagnosis of rheumatoid arthritis: Advanced approaches

引用

SLAS technology 2024年第4期29卷 100146-100146页

作者： Angela, Stefanny Fadhilah, Gianna Hsiao, Wesley Wei-Wen Lin, Hsuan-Yi Ko, Joshua Lu, Steven Che-Wei Lee, Cheng-Chung Chang, Yu-Sheng Lin, Ching-Yu Chang, Huan-Cheng Chiang, Wei-Hung Department of Chemical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Power Mechanical Engineering National Tsing Hua University Hsinchu Taiwan Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei Taiwan Division of Allergy Immunology and Rheumatology Department of Internal Medicine Shuang Ho Hospital New Taipei City Taiwan Division of Allergy Immunology and Rheumatology Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University Taipei Taiwan The Ph.D. Program in Medical Biotechnology College of Medical Science and Technology Taipei Medical University Taipei Taiwan School of Medical Laboratory Science and Biotechnology College of Medical Science and Technology Taipei Medical University Taipei Taiwan Department of Chemical Engineering National Taiwan University of Science and Technology Taipei Taiwan Institute of Atomic and Molecular Sciences Academia Sinica Taipei Taiwan Department of Chemistry National Taiwan Normal University Taipei Taiwan Department of Chemical Engineering National Taiwan University of Science and Technology Taipei Taiwan Sustainable Electrochemical Energy Development (SEED) Center National Taiwan University of Science and Technology Taipei Taiwan Advanced Manufacturing Research Center National Taiwan University of Science and Technology Taipei Taiwan. Electronic address: weshsiao@mail.ntust.edu.tw

Rheumatoid arthritis (RA), a chronic inflammatory condition that affects persons between the ages of 20 and 40, causes synovium inflammation, cartilage loss, and joint discomfort as some of its symptoms. Diagnostic techniques for RA have traditionally been split into two main categories: imaging and serological tests. However, significant issues are associated with both of these methods. Imaging methods are costly and only helpful in people with obvious symptoms, while serological assays are time-consuming and require specialist knowledge. The drawbacks of these traditional techniques have led to the development of novel diagnostic approaches. The unique properties of nanomaterials make them well-suited as biosensors. Their compact dimensions are frequently cited for their outstanding performance, and their positive impact on the signal-to-noise ratio accounts for their capacity to detect biomarkers at low detection limits, with excellent repeatability and a robust dynamic range. In this review, we discuss the use of nanomaterials in RA theranostics. Scientists have recently synthesized, characterized, and modified nanomaterials and biomarkers commonly used to enhance RA diagnosis and therapy capabilities. We hope to provide scientists with the promising potential that nanomaterials hold for future theranostics and offer suggestions on further improving nanomaterials as biosensors, particularly for detecting autoimmune disorders. Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

关键词： Biomarker Biosensor Diagnosis Nanomaterials Rheumatoid arthritis Therapy

来源：评论

学校读者我要写书评

暂无评论

Investigations of feed drive trajectory errors by using artifact and optical scanning measurement

引用

AIP Conference Proceedings 2024年第1期3069卷

作者： Nasril Mahfudz Al Huda Tri Prakosa Sri Raharno Yatna Yuwana Martawirya Doctoral Program of Mechanical Engineering Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Jl. Ganesha No.10 Bandung 40132 Jawa Barat Indonesia Research Center for Process and Manufacturing Industry Technology National Research and Inovation Agency Kawasan PUSPIPTEK Tanggerang Selatan Banten 15314 Indonesia Research Center for Structural Strength Technology National Research and Inovation Agency Kawasan PUSPIPTEK Tanggerang Selatan Banten 15314 Indonesia Depatment of Mechanical Engineering Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Jl. Ganesha No.10 Bandung 40132 Jawa Barat Indonesia

Sensors and measurement systems have a key position in the production process in industrial 4.0. To optimize the quality of the production of workpieces that have complex surfaces, such as molds, dies, turbine blades, and others, it is necessary to develop machine tool metrology and machining strategies. So far, dynamic contouring especially trajectory has not been considered important, because they are still considered related to the feed motion. In this paper, an investigation of the trajectory errors of the servo feed drive system of the machine tool is carried out using an artifact and an optical scanning measurement system using a laser displacement sensor. The artifact is mounted on a machine tools table to realize the trajectory errors investigation of the feed motion. The laser displacement sensor can scan the surface of an artifact with sub-micron motion accuracy. To evaluate the measurement accuracy of servo feed motion, experiments to investigate trajectory errors were conducted, and the measurement system of the precision artifact is carried out by using the laser displacement sensor.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Evaluation of T-72 tank driver seat based on anthropometric dimensions of Ethiopian military tank drivers

引用

AIP Conference Proceedings 2022年第1期2648卷

作者： Aliyi Umer Dereje Engida G. M. Sayeed Ahmed U. Pranavi 1College of Engineering Defence University Bishoftu Ethiopia 2Addis Ababa Science and Technology University Addis Ababa Ethiopia 3Program of Mechanical Design and Manufacturing Engineering School of Mechanical Chemical and Materials Engineering (SoMCME) ASTU ADAMA Ethiopia.P.O.Box:1888 4Center of Excellence for Advanced Manufacturing Engineering Program of Mechanical Design Ethiopia.P.O.Box:1888 5Department of Mechanical Engineering Vardhaman College of Engineering Hyderabad-501218 India

In the world it is difficult to design in terms of average dimension. For this reason anthropometric plays a great rule in the world in design of products. In Ethiopia T-72 tanks are the most important weapons that give a strong support to the ground force in the battle field. So the question of the correct ergonomically design and analysis of the driver seat especially in terms of comfort is mandatory so due to this fact, study anthropometric of driver's seat is very important. It is necessary to define the drivers’ space and seat dimensions by considering the size of the average people according to their body dimensions. The basic questions for this research are (i) To what extent the soviet fabricated tank driver's seat is comfortable to Ethiopia army, (ii) Is there significant different between the body size dimension of soviet and Ethiopian army, and (iii) The Ethiopian military derivers have awareness of the comfort. The main goal of this paper is to conduct descriptive survey on an ergonomics assessment of driver's seat of T72 tank. Following sitting height, popliteal height, sitting to shoulder height, shoulder breadth, buttocks to popliteal length, and hip breadth seated anthropometric dimensions were measured of 45 subjects / respondents (35 males, 10 females) randomly selected from the field study. Mean, standard deviation, and T-test were calculated based on anthropometric data of subjects. Results revealed suggest a mismatch among the dimensions of current T-72 Russian fabricated tank motive force seat and the anthropometric dimensions of military staffs. This recommends that anthropometric information of the Ethiopian army tank drivers changed into not working in the design and manufacturing of the seats. This research is may be cautioned that tank driving force seat of T-72 tank and tank drivers anthropometric measurements are at variance. Therefore, the paper presents anthropometric statistics that may be utilized by the Russian manufacturers of tank

关键词：

来源：评论

学校读者我要写书评

暂无评论

Experimental investigation of productivity of machining process using double tool turning

引用

AIP Conference Proceedings 2022年第1期2648卷

作者： Kuba Defaru Nedi Moera Gutu Jiru G. M. Sayeed Ahmed Dasari Govardhan 1Department of Mechanical Design and Manufacturing Engineering Adama Science and Technology University ADAMA Ethiopia. P.O.Box:1888 2Program of Mechanical Design and Manufacturing Engineering School of Mechanical Chemical and Materials Engineering (SoMCME) ASTU ADAMA Ethiopia. P.O.Box:1888 3Department of Mechanical Engineering Joginpally B.R Engineering College Hyderabad TS-500075 India

Machining is a globally used manufacturing technology where some part of metal is reduced from bulk workpiece in the chip form. In this thesis work, explores the science of new techniques of machining by two single point cutting tools simultaneous engaged with workpiece material to increase efficiency of the turning operation. In order to implement double tool turning process a normal lathe machine setup was altered. In turning operation, the process factors which affect machined surface quality of component are cutting speed, feed, and depth of cut. Investigation was trailed out to the improvements of productivity by this new machining technique under the influence of metal cutting factors on cutting temperature, tool wear. The morphology of chips and machining time were also studied. A comprehensive test was examined by utilising single and double tool turning process on mild steel work material. The analytically predicted metal cutting temperatures, cutting tool wear, machining time were investigated in detail. For the selected metal cutting conditions, it was recorded that the machining time reduced by 25% surprisingly which the production with this time ranges increased. Tool wear area measured by optical Profilometer shows that total wear zone 813.11mm2 for single tool turning while it was reduced to 45.57 mm2 for double tool turning.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Comparison of international students' competency levels in the fundamentals of engineering technology courses 125

Comparison of international students' competency levels in t...

引用

125th ASEE Annual Conference and Exposition

作者： Torres, Mauricio Sadat-Hossieny, Morteza Mechanical Manufacturing Engineering Technology Program Northern Kentucky University United States

In this paper, challenges to meet the competency levels needed for fundamentals of engineering technology classes are identified. Groups of students were examined for the preparedness in mathematics and sciences, as well as in basic fundamentals of engineering technology subjects in selected classes at different semesters. A test instrument was developed to measure the student population's knowledge levels in these classes and strategies are being proposed to assist the students in attaining the minimum competency levels. This study seeks answers to the question on whether international students have the same or better knowledge of basic mathematics, sciences and fundamentals of engineering technology compared to their domestic counterparts. The hypothesis was that "the barriers in their communication and language skills, rather than their basic knowledge of sciences, mathematics, and fundamental of engineering technology subjects are the main factor that prevents international students to demonstrate their class competencies. © American Society for engineering Education, 2018.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Investigating the gap between research and practice in additive manufacturing 30

Investigating the gap between research and practice in addit...

引用

30th Annual International Solid Freeform Fabrication Symposium - An Additive manufacturing Conference, SFF 2019

作者： Bracken, Jennifer Bentley, Zachary Meyer, James Miller, Erik Jablokow, Kathryn W. Simpson, Timothy W. Meisel, Nicholas A. Department of Mechanical Engineering Penn State University ParkPA16802 United States Additive Manufacturing and Design Program Penn State University ParkPA16802 United States School of Engineering Design Technology and Professional Programs Penn State University ParkPA16802 United States Department of Mechanical Engineering and Industrial Engineering Penn State University ParkPA16802 United States

Additive manufacturing (AM) provides opportunities to design objects differently than traditional manufacturing methods allow, but only if designers understand the possibilities AM presents. In this study, we examined whether an AM workshop combined with an idea generation session could inspire engineering professionals to use AM solutions to solve current technical problems they face. All subjects were employees at an organization that will be referred to as Company X, a multinational commercial organization based in North America. During the study, we collected ideas for 24 projects generated before and after a training workshop focused on design for AM. In the workshop, we provided three hours of instruction about design for two metal-based AM processes. The participants’ ideas were assessed using four specific metrics: (1) cost, (2) time, (3) completeness of solution, and (4) quality, which was a function of feasibility, usefulness, and novelty. Using these data, we explored whether the workshop was effective in inspiring the participants to use AM methods and techniques from AM research in their concept generation and whether participants’ AM solutions showed improvement in cost, implementation time, and quality over non-AM designs generated before the workshop. © Solid Freeform Fabrication 2019: Proceedings of the 30th Annual International Solid Freeform Fabrication Symposium - An Additive manufacturing Conference, SFF 2019. All rights reserved.

关键词： 3D printers

来源：评论

学校读者我要写书评

暂无评论

Simulation of hybridized nanofluids flowing and heat transfer enhancement via 3-D vertical heated plate using finite element technique

引用

Scientific reports 2022年第1期12卷 11658页

作者： Muhammad Bilal Hafeez Marek Krawczuk Hasan Shahzad Amjad Ali Pasha Mohammad Adil Faculty of Mechanical Engineering and Ship Technology Institute of Mechanics and Machine Design Gdansk University of Technology Narutowicza 11/12 80-233 Gdańsk Poland. Muhammad.bilal.hafeez@pg.edu.pl. Faculty of Mechanical Engineering and Ship Technology Institute of Mechanics and Machine Design Gdansk University of Technology Narutowicza 11/12 80-233 Gdańsk Poland. Faculty of Materials and Manufacturing College of Mechanical Engineering and Applied Electronics Technology Beijing University of Technology Beijing China. Aerospace Engineering Department King Abdulaziz University Jeddah 21589 Saudi Arabia. Mechanical Engineering Program Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia. KAUST Clean Combustion Research Center King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia.

The present study probed the creation of heat energy and concentrating into Newtonian liquids across vertical 3D-heated plates. The role of the Soret and Dufour theories in concentrating and energy formulas is discussed. The role of hybrid nanoparticles is introduced to illustrate particle efficiency in terms of solute and thermal energy. It is removed a viscous dissipation process and a changing magnetic field. The proposed approach is motivated by the need to maximize solute and thermal energy uses in biological and industrial domains. The constructed system of (partial differential equations) PDEs includes concentration, momentum, and thermal energy equations within various thermal characteristics. Transformations are used to formulate the system of (ordinary differential equations) ODEs for solution. To assess various features vs various variables, a Galerkin finite element approach is used. Motion into nanoscale components is shown to be smaller than motion into hybrid nanoparticles. Furthermore, fluctuations in heat energy and solute particle counts are seen in relation to changes in Soret, Eckert, magnetic, and Dufour numbers. The basic finding is that the generation of thermal energy for hybridized nanomaterials is much higher.

关键词：

来源：评论

学校读者我要写书评

暂无评论

aflow++: A C++ framework for autonomous materials design

引用

Computational Materials Science 2023年 217卷

作者： Oses, Corey Esters, Marco Hicks, David Divilov, Simon Eckert, Hagen Friedrich, Rico Mehl, Michael J. Smolyanyuk, Andriy Campilongo, Xiomara van de Walle, Axel Schroers, Jan Kusne, A. Gilad Takeuchi, Ichiro Zurek, Eva Nardelli, Marco Buongiorno Fornari, Marco Lederer, Yoav Levy, Ohad Toher, Cormac Curtarolo, Stefano Department of Mechanical Engineering and Materials Science Duke University DurhamNC27708 United States Center for Autonomous Materials Design Duke University DurhamNC27708 United States LIFT American Lightweight Materials Manufacturing Innovation Institute DetroitMI48216 United States Institute of Ion Beam Physics and Materials Research Helmholtz-Zentrum Dresden-Rossendorf Dresden01328 Germany Theoretical Chemistry Technische Universität Dresden Dresden01062 Germany Institute of Solid State Physics Technische Universität Wien WienA-1040 Austria School of Engineering Brown University ProvidenceRI02912 United States Department of Mechanical Engineering and Materials Science Yale University New HavenCT06511 United States Materials Measurement Science Division National Institute of Standards and Technology GaithersburgMD20899 United States Department of Materials Science and Engineering University of Maryland College Park MD20742 United States Department of Chemistry State University of New York at Buffalo BuffaloNY14260 United States Department of Physics and Department of Chemistry University of North Texas DentonTX76203 United States Santa Fe Institute Santa FeNM87501 United States Department of Physics and Science of Advanced Materials Program Central Michigan University Mount PleasantMI48859 United States Department of Physics NRCN Beer-Sheva84190 Israel Department of Materials Science and Engineering and Department of Chemistry and Biochemistry University of Texas at Dallas RichardsonTX75080 United States

The realization of novel technological opportunities given by computational and autonomous materials design requires efficient and effective frameworks. For more than two decades, aflow++ (Automatic-Flow Framework for Materials Discovery) has provided an interconnected collection of algorithms and workflows to address this challenge. This article contains an overview of the software and some of its most heavily-used functionalities, including algorithmic details, standards, and examples. Key thrusts are highlighted: the calculation of structural, electronic, thermodynamic, and thermomechanical properties in addition to the modeling of complex materials, such as high-entropy ceramics and bulk metallic glasses. The aflow++ software prioritizes interoperability, minimizing the number of independent parameters and tolerances. It ensures consistency of results across property sets — facilitating machine learning studies. The software also features various validation schemes, offering real-time quality assurance for data generated in a high-throughput fashion. Altogether, these considerations contribute to the development of large and reliable materials databases that can ultimately deliver future materials systems. © 2022

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Preliminary study on modelling and simulation of virtual reality assistive tool for autism children using gaming software

引用

AIP Conference Proceedings 2023年 040001页

作者： Shahrol Mohamaddan Ting Sing Hong Annisa Jamali Siti Raudzah Ghazali Saidatul Ardeenawatie Awang Peeraya Sripian Akihiko Hanafusa Department of Bioscience and Engineering College of System Engineering and Science Shibaura Institute of Technology Fukasaku 307 3378570 Saitama Japan Department of Mechanical and Manufacturing Faculty of Engineering Universiti Malaysia Sarawak 94300 Kota Samarahan Sarawak Malaysia Department of Medical Psychology Faculty of Medicine and Health Sciences Universiti Malaysia Sarawak 94300 Kota Samarahan Sarawak Malaysia Department of Biomedical Electronics Faculty of Electronics Engineering Universiti Malaysia Perlis 02600 Arau Perlis Malaysia Innovative Global Program College of Engineering Shibaura Institute of Technology Kotoku Toyosu 3-7-5 135-8548 Tokyo Japan

Autism Spectrum Disorder (ASD) is an early childhood disorder that affects individual ability to interact and socialize with other people. Children with ASD have problems interacting with their peers and have difficulty to exercise their social skills. In this study, a virtual reality (VR) based assistive tool was modelled and simulated using a gaming software called Dark Basic Professional (DBPro). The assistive tool was developed to support ASD children to interact and apply the social skills. Seven tasks were designed for the VR assistive tool based on three targeted skills including facial expression recognition, reading comprehension, and task delivery. As a preliminary study, only three non-ASD children were participated in the VR assistive tool experiment to analyse the tasks. The experiment results showed that all participants successfully performed five out of seven tasks. However, all participants failed to perform the video prompting task while one participant was not able to recognize the emotion from robotics-based faces in the facial expression. The results from pulse sensor showed that the heart rate was stable during the basic experiment using VR but unstable during the applied experiment and real-world discussion. There is a need to review the overall modelling and simulation technique, and the number of participants among ASD children should be increased for the future study.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：