检索结果-内蒙古大学图书馆

3rd International Conference on Intelligent engineering and Management, ICIEM 2022

作者： Satpute, Nitin Vijay Jaywant Gurav, Omkar Korwar, Ganesh Dattatray Vishnoo Walame, Mahesh Jabade, Siddharth Khule, Anil Laxman Suresh Channapattan, Raghavendra Vishwakarma University Faculty of Science and Technology Department of Mechanical Engineering Pune India Vishwakarma Institute of Technology Department of Mechanical Engineering Pune India Vishwakarma University Faculty of Mechanical Engineering Pune India Hodek Vibration Technologies Pvt. Ltd Design Engineer Pune India

ISBN: (数字)9781665467568

ISBN: (纸本)9781665467568

Torsional Tuned Mass Dampers (TTMD) are used for attenuation of harmful effect of torque pulsation in internal combustion engines which originates due to reciprocating unbalance and gas forces. Torsional dampers use silicone oil inside a cylindrical cavity which houses an inertial ring. It is possible to use the theoretical models to estimate stiffness and damping properties of the TTMD, when the silicone oil is used in the damper. However when TTMD uses rheological fluid instead of plain silicone oil or any other additives are used in the silicone oil, it is difficult to estimate stiffness and damping with the theoretical methods. The present work demonstrates an experimental method to determine the vibration characteristics of TTMD. A custom designed fixture is used along with an accelerometer, time and frequency domain data analysis and arrangement to provide forced vibrations. Initially TTMD is excited with free vibrations and frequency response of the angular acceleration is measured, which is used to determine stiffness of the TTMD. Further, a harmonic torque as applied and the steady state amplitude of angular acceleration is measured, which is used to calculate damping coefficient of TTMD. The presented method exhibits 5-10% deviation in the estimated vibration parameters in comparison to the theoretically calculated values. © 2022 IEEE.

关键词： Stiffness

来源：评论

学校读者我要写书评

暂无评论

EXPERIMENTAL STUDY ON HEAT TRANSFER CHARACTERISTICS OF HIGH TEMPERATURE HEAT PIPE WITH CAPILLARY WICK DURING EVAPORATION 30

EXPERIMENTAL STUDY ON HEAT TRANSFER CHARACTERISTICS OF HIGH ...

引用

30th International Conference on Nuclear engineering, ICONE 2023

作者： Zhou, Zheng Ma, Yugao Wu, Qi Ma, Zaiyong Sun, Wan Zhang, Luteng Zhu, Longxiang Pan, Liangming Key Laboratory of Low-grade Energy Utilization Technologies and Systems Ministry of Education Chongqing University Chongqing400044 China Department of Nuclear Engineering and Technology Chongqing University Chongqing400044 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China

ISBN: (纸本)9784888982566

Due to the surface covered by the capillary wick in the high temperature heat pipe, the classical evaporation and condensation model may be difficult to characterize the evaporation process well in the high temperature heat pipe under different working conditions. Therefore, this paper carried out an experimental study on the heat transfer characteristics of the evaporation process of high temperature heat pipe with capillary wick. By measuring the axial and radial temperature distribution in the high temperature heat pipe under different working conditions, the phase interface evaporation thermal resistance and evaporation coefficient (Hertz-Knudsen equation) at different temperatures in the high temperature heat pipe were calculated, and the variation law of evaporation coefficient under different working conditions was analyzed. The results show that the magnitude of the evaporation thermal resistance is between 0 and 10-3, which means the evaporation heat transfer coefficient is very high. In general, with the increase of temperature(pressure), the logarithm of evaporation coefficient has a good negative linear correlation with pressure. In addition, it is found that if the adiabatic section temperature commonly used in engineering calculation is taken as the saturation temperature, the value of evaporation coefficient obtained is relatively small, as well as the data dispersion, which is due to axial thermal resistance is introduced. Furthermore, by fitting the experimental data, a correlation for the evaporation of high temperature heat pipe with capillary wick is proposed. © 2023 by JSME.

关键词： Evaporation

来源：评论

学校读者我要写书评

暂无评论

3D/4D additive-subtractive manufacturing of heterogeneous ceramics

引用

Journal of Materials science & technology 2024年第34期201卷 210-221页

作者： Guo Liu Xinya Lu Xiaofeng Zhang Yan Zhao Shenghui Yi Jingjun Xu Yuqi Zhan Jianan Yin Chengcheng Feng Zhifeng Zhou Peiyu Wang Zhou Chen Yunhu He Siyao Chen Pengchao Liu Jun Zuo Yu Dai Jian Wu Sida Liu Jian Lu Centre for Advanced Structural Materials City University of Hong Kong Shenzhen Research InstituteGreater Bay Joint DivisionShenyang National Laboratory for Materials ScienceShenzhen 518057China CityU-Shenzhen Futian Research Institute Shenzhen 518045China Hong Kong Branch of National Precious Metals Material Engineering Research Center City University of Hong KongHong Kong 999077China Department of Mechanical Engineering City University of Hong KongHong Kong 999077China Department of Materials Science and Engineering City University of Hong KongHong Kong 999077China National Engineering Laboratory for Modern Materials Surface Engineering Technology&The Key Lab of Guangdong for Modern Surface Engineering Technology Institute of New MaterialsGuangdong Academy of ScienceGuangzhou 510650China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle EngineeringHunan UniversityChangsha 410082China Faculty of Materials Science Shenzhen MSU-BIT UniversityShenzhen 518100China Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of Physics and Materials Nanchang UniversityNanchang 330031China

The manufacturing of heterogeneous high-temperature material components is challenging for use in practical ***-dimensional(3D)printing provides solutions to programmable constructing ceramic ***,the development of heterogeneous ceramics is limited by low flexibil-ity of heterogeneity,geometrical complexity,structural resolution,manufacturing efficiency,and mate-rial *** this study,we demonstrated flexible and rapid approaches for fabricating complicated and precise heterogeneous ceramics by shape-changing(4D)or shape-keeping(3D)additive-subtractive manufacturing(ASM)*** shape-changing strategy for heterogeneous ceramics was achieved by global ceramization of heterogeneous precursors,while the shape-keeping strategy for heterogeneous ceramics was achieved by local receramization of homogeneous *** element analysis(FEA)simulations of the influence of the thermal shrinkage dominant in the shape-changing strategy on the shape deformation of heterogeneous ceramics could be valuable predictions of the experimental *** 3D/4D ASM methods are generic for high-temperature materials and extendable to metallic and dia-mond materials.

关键词： 3D/4D printing Additive-subtractive manufacturing Heterogeneous ceramics Elastomer-derived ceramics Local receramization

来源：评论

学校读者我要写书评

暂无评论

Comprehensive Overview of Multi-agent systems for Controlling Smart Grids

引用

CSEE Journal of Power and Energy systems 2022年第1期8卷 115-131页

作者： Om Prakash Mahela Mahdi Khosravy Neeraj Gupta Baseem Khan Hassan Haes Alhelou Rajendra Mahla Nilesh Patel Pierluigi Siano Power System Planning Division Rajasthan Rajya Vidyut Prasaran Nigam Ltd.Jaipur-302005India Media Integrated Communication Laboratory Graduate School of EngineeringOsaka UniversityOsakaJapan Computer Science and Engineering Department Oakland UniversityRochesterUSA Department of Electrical and Computer Engineering Hawassa UniversityHawassa 1530Ethiopia Faculty of Mechanical and Electrical Engineering Tishreen UniversityLattakiaSyria Department of Electrical Engineering National Institute of Technology Kurukshetra Department of Management&Innovation Systems University of Salerno84084 SalernoItaly

Agents are intelligent entities that act flexibly and autonomously and make wise decisions based on their intelligence and experience.A multi-agent system(MAS)contains multiple,intelligent,and interconnected collaborating agents for solving a problem beyond the ability of a single agent.A smart grid(SG)combines advanced intelligent systems,control techniques,and sensing methods with an existing utility power *** controlling smart grids,various control systems with different architectures have already been ***-based control of power system operations has been shown to overcome the limitations of time required for analysis,relaying,and protection;transmission switching;communication protocols;and management of plant *** systems provide an alternative for fast and accurate power network *** paper provides a comprehensive overview of MASs used for the control of smart *** paper provides a wide-spectrum view of the status of smart grids,MAS-based control techniques and their implementation for the control of smart *** of MASs in the control of various aspects of smart grids-including the management of energy,marketing energy,pricing,scheduling energy,reliability,network security,fault handling capability,communication between agents,SG-electrical vehicles,SG-building energy systems,and soft grids—have been critically *** than a hundred publications on the topic of MAS-based control of smart grids have been critically examined,classified,and arranged for fast reference.

关键词： Coordinated control multi-agent systems renewable energy sources smart energy infrastructure smart grid

来源：评论

学校读者我要写书评

暂无评论

Advancing Healthcare Through Internet of Things: A Comprehensive Review of Smart Healthcare systems and Their Applications

Advancing Healthcare Through Internet of Things: A Comprehen...

引用

Machine Learning and Autonomous systems (ICMLAS), International Conference on

作者： Rahul Raushan Shiv Nath Chaudhri Saurabh Suman Dhiraj Kumar Gulshan Kumar Abhishek Kumar Department of Computer Science & Design Faculty of Engineering and - Technology Datta Meghe Institute of Higher Education and Research (DU) Wardha Maharashtra India

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505752

The Internet of Things (IoT) has turned the healthcare domain in a better direction due to more interconnected and smarter systems that enhance care delivery. Certainly, the IoT-accessible applications in these fields are only possible if devices, sensors, and real-time data are interconnected. Among today's marvels are remote patient monitoring, wearable health trackers, telemedicine, and smart hospital management. Medicine gets more personal, effective, and accessible due to these improvements. However, its development remains unmatched being faced with complexities such as security of personalized data, safety risks resolution, and seamless device-to-system integration. This paper examines the influential role of IoT in advanced healthcare systems, with its virtues, major applications, and implementation obstacles as the subject. The Internet of Things as a mode of health and technology bridging can entirely change how medicines are being practiced and even lead to the improvement of the lives of patients by introducing adaptive and efficient hospital systems. Thus, IoT can be a technology that balances tech and medicine for the betterment of patient treatment outcomes and make the system adaptive and efficient.

关键词： Technological innovation Patient monitoring Adaptive systems Hospitals Telemedicine Medical services Machine learning Real-time systems Internet of Things Biomedical monitoring

来源：评论

学校读者我要写书评

暂无评论

Monkeypox Medical Image Classification Using Deep Learning Models with Feature Extraction 8

Monkeypox Medical Image Classification Using Deep Learning M...

引用

8th IET Smart Cities Symposium, SCS 2024

作者： Eslam, Ahmed Abdelfattah, Mohamed G. El-Kenawy, El-Sayed M. El-Din Moustafa, Hossam Department of Electronics and Communications Engineering Faculty of Engineering Mansoura University Egypt Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt School of ICT Faculty of Engineering Design and Information & Communications Technology (EDICT) Bahrain Polytechnic PO Box 33349 Isa Town Bahrain Applied Science Research Center Applied Science Private University Amman Jordan Jadara University Research Center Jadara University Jordan

ISBN: (纸本)9781837242672

After the world faced the fatal COVID-19 virus, a new warning appeared and threatened the world again. Numerous countries are facing complete economic shutdowns again because skin diseases rapidly spread in these countries. However, monkeypox is not a fatal virus, as COVID-19 in nations around the world had a number of infected people. Artificial intelligence and Deep learning show their importance in different aspects of health care. Diseases like cancer and COVID-19 are diagnosed early according to image data by computer-aided design (CAD). An enhancement of feature extraction of data by using different deep learning algorithms, AlexNet gave the highest performance of feature extraction at a level of accuracy of 93.22%. Other statistical analysis tests were applied (ANOVA and Wilcoxon signed rank test table) in order to enhance feature extraction. © The Institution of engineering & technology 2024.

关键词： Computer-Aided design Deep Learning Disease Feature Extraction Monkeypox

来源：评论

学校读者我要写书评

暂无评论

AI-Powered Clinical Decision Support systems (CDSS): Challenges, Benefits, Applications, and Future Directions

AI-Powered Clinical Decision Support Systems (CDSS): Challen...

引用

Machine Learning and Autonomous systems (ICMLAS), International Conference on

作者： Prajyot Yesankar Chetan Puri Pradnyawant M. Gote Department of Computer Science and Design Faculty of Engineering and Technology Datta Meghe Institute of Higher Education and Research (DU) Wardha Maharashtra India

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505752

AI-based Clinical Decision Support systems are a revolutionary innovation in the healthcare sector, using artificial intelligence to improve diagnostic precision, optimize treatment planning, and enhance patient outcomes. This paper discusses the challenges, benefits, applications, and future directions of AI-driven CDSS. Some of the key challenges are data quality, integration with EHRs, ethical concerns, and explainability issues. Despite these challenges, benefits such as efficiency improvements, reduced clinician workload, and the possibility of tailored medicine are substantial. In addition, the paper depicts diverse applications across oncology, cardiology, and primary care. The paper further stresses the directions: validation of robustness, user-friendly interfaces, and equitable deployment to achieve maximal utilization of AI-CDSS in global health care systems. Besides this, the integration of multimodal data and improvement in predictive analytics will help to revolutionize preventive care. Moreover, ethical practices with AI will bring forth trust and adoption. Such an all-inclusive review signifies the pivotal role AI will play in shaping clinical decision-making for the future.

关键词： Decision support systems Ethics Technological innovation Collaboration Medical services Transforms Robustness Predictive analytics Stress Standards

来源：评论

学校读者我要写书评

暂无评论

Infection Risk in a Restaurant Environment Due to Airborne Diseases 5th

Infection Risk in a Restaurant Environment Due to Airborne D...

引用

5th International Conference on Building Energy and Environment, COBEE 2022

作者： Bale, Rahul Li, Chungang Fukudome, Hajime Yumino, Saori Iida, Akiyoshi Tsubokura, Makoto RIKEN Center for Computaitonal Science Kobe Japan Graduate School of System Informatics Kobe Univeristy Kobe Japan Department of Mechanical Engineering Toyohashi Institue of Technology Toyohashi Japan Kajima Corporation Tokyo Japan Numerical Flow Design Tokyo Japan

ISBN: (纸本)9789811998218

An activity wherein the usage of masks and social distancing, to prevent the spread of COVID-19 may not be possible, is not possible is during social gatherings over a meal or a drink. Droplets generated during a casual conversation during a meal can lead to the transmission of COVID, due to which restaurants and bars can turn out to be vectors for its transmission. Therefore, it is necessary to investigate the dispersion of respiratory droplets in such an environment. To that end, we carry out numerical simulations of droplets dispersion in a typical Japanese restaurant. The role of ventilation and air-conditioning systems on dispersion will be discussed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Empirical Analysis of Hybrid Machine Learning based Earlier Stage Covid Disease Prediction using Lung CT Images

Empirical Analysis of Hybrid Machine Learning based Earlier ...

引用

2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical systems, ICSES 2022

作者： Venkatesh, J. Titus, Anita Arthi, B. Jebastine, J. Shaik, Subhani Sakthivel, E. Chennai Institute of Technology Center for System Design Tamil Nadu Chennai India Jeppiaar Engineering College Department of ECE Tamil Nadu Chennai India SRM Institute of Science and Technology Faculty of Engineering and Technology Department of CSE Tamil Nadu Chennai India St.Mary's Group of Institutions Department of CSE Andhra Pradesh Guntur India

ISBN: (数字)9781665474139

ISBN: (纸本)9781665474139

Corona Virus or Covid-19 Disease, a term which creates a mass affection to all the countries in both Human life as well as economy wise. This disease causes a huge destruction in many person's individual life and most of the people around the world died due to this cause. Several assessments and researches are going on to predict the disease in fine manner as well as identify the disease over earlier stages to save the life of people without any delay. However, the most prominent and acceptable way of predicting the Corona Virus is by using the Lung Computed Tomography (CT) images. The Lung based CT images provides a huge support to identify the Covid virus on earlier stages, in which the people are advised to take such type of scanning while infected with corona virus. An earlier stage identification of Corona Virus is the basic need now-a-days, in which the disease is identified initially, means it can easily be cured. The identification of Covidvirus over lung CT images is of course a complex task because the CT images contains low-intensity pixels and the contrast level variations are different on various images. So it is complex to manipulate such images in practical, due to this a novel Digital Image Processing scheme is required to provide an efficient support to the respective physician to identify the Corona Virus on earlier stages in clear manner. The concept of machine learning is adopted over this paper to provide a proper predictions as well as the logic of dual classification algorithms are combined together to form a new machine learning strategy to attain high accuracy with enhanced prediction probabilities. The logic of Deep Neural Network (DNN) is modulated with respect to the logic of Random Forest (RF) Classification algorithm to make a new methodology called Hybrid Learning based Disease Prediction Scheme (HLDPS). In which this proposed approach associates the benefits of both DNN and RF into this prediction strategy to make an appropriate predi

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Mechanical Properties and Thermal Shock Resistance of SrAl_(2)Si_(2)O_(8) Reinforced BN Ceramic Composites

引用

无机材料学报 2024年第10期39卷 1182-1188页

作者： WANG Bo CAI Delong ZHU Qishuai LI Daxin YANG Zhihua DUAN Xiaoming LI Yanan WANG Xuan JIA Dechang ZHOU Yu International Joint Laboratory of Advanced Nanomaterials of Heilongjiang Province College of Materials Science and Chemical EngineeringHarbin Engineering UniversityHarbin 150001China Key Laboratory of Advanced Structural-Functional Integration Materials School of Materials Science and EngineeringHarbin Institute of TechnologyHarbin 150001China China Resources Cement Technology R&D Co. LtdGuangzhou 510000China The First Military Representative Office of the Army Equipment Department in Beijing Beijing 100072China The Fourth System Design Department Fourth AcademyChina Aerospace Science and Industry Corporation LimitedBeijing 100048China School of Materials Science and Engineering Harbin Institute of Technology(Shenzhen)Shenzhen 518055China

Hexagonal boron nitride(h-BN)ceramics have become exceptional materials for heat-resistant components in hypersonic vehicles,owing to their superior thermal stability and excellent dielectric ***,their densification during sintering still poses challenges for researchers,and their mechanical properties are rather *** this study,SrAl_(2)Si_(2)O_(8)(SAS),with low melting point and high strength,was introduced into the h-BN ceramics to facilitate the sintering and reinforce the strength and ***,BN-SAS ceramic composites were fabricated via hot press sintering using h-BN,SrCO_(3),Al_(2)O_(3),and SiO_(2) as raw materials,and effects of sintering pressure on their microstructure,mechanical property,and thermal property were *** thermal shock resistance of BN-SAS ceramic composites was *** show that phases of as-preparedBN-SAS ceramic composites are h-BN and h-SrAl_(2)Si_(2)O_(8).With the increase of sintering pressure,the composites’densities increase,and the mechanical properties shew a rising trend followed by a slight *** a sintering pressure of 20 MPa,their bending strength and fracture toughness are(138±4)MPa and(1.84±0.05)MPa·m^(1/2),*** sintered at 10 MPa exhibit a low coefficient of thermal expansion,with an average of 2.96×10^(-6) K^(-1) in the temperature range from 200 to 1200℃.The BN-SAS ceramic composites prepared at 20 MPa display higher thermal conductivity from 12.42 to 28.42 W·m^(-1)·K^(-1) within the temperature range from room temperature to 1000℃.Notably,BN-SAS composites exhibit remarkable thermal shock resistance,with residual bending strength peaking and subsequently declining sharply under a thermal shock temperature difference ranging from 600 to 1400℃.The maximum residual bending strength is recorded at a temperature difference of 800℃,with a residual strength retention rate of 101%.As the thermal shock temperature difference increase,the degree of oxida

关键词： BN matrix composite hot-press sintering mechanical property thermal shock resistance service reliability

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：