检索结果-内蒙古大学图书馆

2nd IEEE International Conference on Integrated Intelligence and Communication Systems, ICIICS 2024

作者： Manjunatha, D.V. Maindola, Meenakshi Jose, Reny Kaliappan, S. Patel, Mitul Maranan, Ramya Department of Electronics & Communication Engineering Alvas Institute of Engineering & Technology Moodabidri India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun India Idukki India Division of Research and Development Lovely Professional University Phagwara India Faculty of Engineering and Technology Parul institute of Engineering and Technology Parul University Vadodara India Department of Research and Innovation Saveetha School of Engineering SIMATS Chennai India

ISBN: (纸本)9798331504960

In order to improve the visual quality of low-resolution video frames, this study introduces a new superresolution method for real-time video processing that is powered by artificial intelligence. With little computational overhead, the suggested approach uses a hybrid deep learning model to reconstruct high-resolution frames. This model mixes Convolutional Neural Networks (CNNs) with Generative Adversarial Networks (GANs). The suggested method outperforms state-of-the-art methods by 12.3% in PSNR and 8.7% in SSIM, according to experimental results on benchmark video datasets. The PSNR is 34.56 dB and the SSIM is 0.94. Also, running on a GTX 1080Ti GPU, the system shows an average processing speed of 30 fps, which is great for real-time apps. The suggested strategy is effective in eliminating artifacts, improving visual clarity, and retaining fine details in various real-time video processing contexts, according to both quantitative and qualitative results. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Multi-stage anisotropic etching of two-dimensional heterostructures

引用

Nano research 2022年第6期15卷 4909-4915页

作者： Lin Li Jichen Dong Dechao Geng Menghan Li Wei Fu Feng Ding Wenping Hu Hui Ying Yang Institute of Molecular Plus Tianjin UniversityTianjin 300072China Centre for Multidimensional Carbon Materials Institute for Basic ScienceUlsan 44919Republic of Korea Pillar of Engineering Product Development Singapore University of Technology and DesignSingapore 487372Singapore Tianjin Key Laboratory of Molecular Optoelectronic Sciences Department of ChemistrySchool of ScienceTianjin University and Collaborative Innovation Center of Chemical Science and EngineeringTianjin 300072China Institute of Materials Research and Engineering(IMRE) Agency for ScienceTechnologyand Research(A*STAR)Singapore 138634Singapore

Regarding the reverse process of materials growth,etching has been widely concerned to indirectly probe the growth kinetics,offering an avenue in governing the growth of two-dimensional(2D)*** this work,interface-driven anisotropic etching mode is demonstrated for the first time to be generally applied to 2D *** is shown that the typical in-plane graphene and hexagonal boron nitride(h-BN)heterostructures follow a multi-stage etching behavior initiated first along the interfacial region between the two materials and then along edges of neighboring h-BN flakes and finally along central edges of *** accurately tuning etching conditions in the chemical vapor deposition process,series of etched 2D heterostructure patterns are controllably ***,scaled formation of graphene and h-BN heterostructures arrays has been realized with full assist of as-proposed etching mechanism,offering a direct top-down method to make 2D orientated heterostructures with order and *** of interface-driven multi-staged anisotropic etching mode will shed light on understanding growth mechanism and further expanding wide applications of 2D heterostructures.

关键词： anisotropic etching two-dimensional materials heterostructures graphene h-BN

来源：评论

学校读者我要写书评

暂无评论

engineering Educators' Adoption and implementation of Project-Based Learning: Experiences from a South Indian University 13

Engineering Educators' Adoption and implementation of Projec...

引用

13th IEEE International Conference on Teaching, Assessment and Learning for engineering, TALE 2024

作者： Dijo, Anjal P Anantha, Krishnan K. P. Subheesh, N.P. John, Aby Anzar, S.M. Sachidananthan, Sajin Federal Institute of Science and Technology Department of Computer Science and Engineering India College of Engineering Department of Computer Science and Engineering Kerala India Srm University - Ap Teaching Learning Centre Andhra Pradesh 522502 India Rudn University Faculty of Philology Moscow Russia Tkm College of Engineering Department of Electronics and Communication Engineering Kollam India Curriculum Research and Development U-DNA Educational Foundation Andhra Pradesh Anantapur India

ISBN: (纸本)9798350376234

This research investigates the attitudes and perceptions of engineering educators in Kerala, India, towards the implementation of Project-Based Learning (PjBL) within the framework of APJ Abdul Kalam Technological University (APJAKTU), Kerala. Despite the growing emphasis on experiential learning, only limited research studies focus on understanding the attitudes and perceptions of engineering faculty members towards PjBL. Against this backdrop, the present study aims to critically examine the readiness of engineering educators in adopting and identifying PjBL strategies for its effective integration into engineering curricula. The paper explores various dimensions of engineering educators' engagement with PjBL, including faculty interest levels, satisfaction of implementation, perceived effectiveness, and career implications. The data were collected from engineering faculty members by distributing a comprehensive questionnaire titled Project-Based Learning in engineering Education in Kerala (PLEEK), uniquely designed by the researchers. The research findings reveal that over 90% of the surveyed faculty members have shown keen interest in implementing PjBL, while the remaining respondents exhibited a neutral stance. This underscores a noteworthy receptivity to PjBL among engineering educators in Kerala. Suggestions from participants indicate that, if implemented correctly, PjBL would be highly effective, although time constraints pose a significant challenge. The results obtained are pivotal as they provide an explicit idea of the current status of the engineering education settings and the discrepancies between traditional theoretical instruction and project-based learning. © 2024 IEEE.

关键词： engineering education

来源：评论

学校读者我要写书评

暂无评论

Optimization of main process control parameters of PHA bio-polymer in material extrusion additive manufacturing: experimental design and predictive models

引用

The International Journal of Advanced Manufacturing Technology 2025年 1-17页

作者： Vidakis, Nectarios Petousis, Markos Mountakis, Nikolaos Spyridaki, Maria Gkagkanatsiou, Katerina Stratakis, Emmanuel Department of Mechanical Engineering Hellenic Mediterranean University Heraklion Greece Foundation for Research and Technology-Hellas (FO.R.T.H) Heraklion Crete Greece Innovation and Development Center Harbin Engineering University Qingdao China

The sustainability of additive manufacturing (AM) has attracted attention nowadays, with different aspects needed to be considered. A key effort in this direction is the replacement of fossil fuel–originating polymers with biologically derived polymers. To achieve this, biologically derived polymers should exhibit a performance similar to that of commonly used polymers. Bacterially produced pure polyhydroxyalkanoate (PHA) was recently proposed by filament vendors for material extrusion (MEX) AM. Despite extensive research on the utilization of PHA in polymeric blends, the literature on the printability metrics of pure PHA is limited. At the same time, it has a high potential as an alternative to common petrochemical polymers. In this study, the impact of the main generic settings on the mechanical response of pure bio-sourced PHA in MEX AM was investigated. Four critical 3D printing parameters (print speed, layer height, nozzle temperature, and strand width) were evaluated using a robust design to optimize the tensile and impact metrics. Regression modeling was performed, and predictive equations were compiled and verified using validation testing. The quality of the samples was evaluated using electron microscopy. The analysis proved the importance of layer thickness in the tensile score, whereas nozzle temperature was found to be the most influential setting for impact loading. An increase of approximately 20% can be achieved by selecting appropriate 3D printing settings in the tensile test, whereas the impact strength can be radically improved by up to 550%.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Characterization and correlation of engineering properties with microstructure in peanuts:A microscopic to macroscopic analysis

引用

Journal of Integrative Agriculture 2025年第1期24卷 339-352页

作者： Fei Xiang Zhenyuan Li Yichen Zheng Caixia Ding Benu Adhikari Xiaojie Ma Xuebing Xu Jinjin Zhu Bello Zaki Abubakar Aimin Shi Hui Hu Qiang Wang Institute of Food Science and Technology Chinese Academy of Agricultural Sciences/Comprehensive Utilization Laboratory of Cereal and Oil ProcessingMinistry of Agriculture and Rural AffairsBeijing 100193China Wilmar(Shanghai)Biotechnology Research&Development Center Co. Ltd.Shanghai 200137China School of Science RMIT UniversityMelbourne 3083VICAustralia School of Food Science and Engineering Nanjing University of Finance and Economics/Jiangsu Modern Food Circulation and Safety Collaborative Innovation CenterNanjing 210023China College of Food Science and Pharmacy Xinjiang Agricultural UniversityUrumqi 830052China Department of Agricultural Extension and Rural Development Faculty of AgricultureUsmanu Danfodiyo UniversitySokoto 840101Nigeria

Peanut varieties are diverse globally,with their characters and nutrition determining the product ***,the comparative analysis and statistical analysis of key quality indicators for peanut kernels across the world remains relatively limited,impeding the comprehensive evaluation of peanut quality and hindering the industry development on a global *** study aimed to compare and analyze the apparent morphology,microstructure,single-cell structure,engineering and mechanical properties,as well as major nutrient contents of peanut kernels from 10 different cultivars representing major peanut-producing *** surface and cross-section microstructure of the peanut kernels exhibited a dense“blocky”appearance with a distinct cellular *** lipid droplets were predominantly spherical with a regular distribution within the *** single-cell structure of the kernels from these 10 peanut cultivars demonstrated varying morphologies and dimensions,which exhibited correlations with their mechanical and engineering ***,the mass loss versus temperature profiles of the peanut kernels revealed five distinct stages,corresponding to moisture loss,volatile loss,protein denaturation,and the degradation of various *** were also observed in the lipid,protein,and sucrose contents,texture,bulk density,true density,porosity,geometric mean diameter,and sphericity among the diferent peanut *** study establishes relationships and correlations among microstructure,engineering properties,and nutritional composition of commonly grown peanut varieties in major peanut-processing *** findings provide valuable insights into peanut quality evaluation,empowering the peanut industry to enhance their processing and product development efforts.

关键词： peanut kernels apparent morphology microstructure engineering properties mechanical properties

来源：评论

学校读者我要写书评

暂无评论

Self-Guided Autoencoders for Unsupervised Change Detection in Heterogeneous Remote Sensing Images

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2024年第6期5卷 2458-2471页

作者： Shi, Jiao Wu, Tiancheng Kai Qin, Alex Lei, Yu Jeon, Gwanggil Northwestern Polytechnical University School of Electronics and Information Xi'an710129 China Northwestern Polytechnical University in Shenzhen Research and Development Institute Shenzhen518057 China Chongqing Innovation Center of Northwestern Polytechnical University Chongqing401135 China Swinburne University of Technology Department of Computer Science and Software Engineering HawthornVIC3122 Australia Incheon National University Department of Embedded Systems Engineering Incheon22012 Korea Republic of

To address the problem of enormous differences in two heterogeneous images, the traditional unsupervised frameworks are most normally realized by converting two images into a common domain with various auxiliary strategies, such as transformation and alignment, which requires extensive calculation and has difficulty balancing the training tasks. To achieve a concise framework, this article proposes self-guided autoencoders (SGAE) for unsupervised change detection (CD) in heterogeneous remote sensing images (RSIs). Unlike traditional methods that aim to narrow the differences of heterogeneous images to highlight the changed information, SGAE forces the flow of identification in formation generated in unlabeled data through self-guided iterations. First, initial unsupervised networks output an elementary change map that will be screened to obtain reliable pseudolabels. The selected pseudolabeled samples will be used as the input of a supervised network to obtain another change map. Then, multiple change maps will be fused to refine the confidence of pseudolabels again, obtaining new fused pseudolabeled samples for the self-guided network, which will be trained with pseudolabeled samples and unlabeled samples. Finally, the above operations will be repeated to continuously optimize the net, which helps itself to extract the discriminative features for classification in self-guided iterations. Experiments compared with several algorithms on four datasets demonstrate the effectiveness and robustness of our method, which can help unsupervised models improve discriminative feature extraction and classification performance with a more flexible learning method. © 2020 IEEE.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Deep Koopman Embeddings for Unidirectional Phase-resolved Wave Prediction

Deep Koopman Embeddings for Unidirectional Phase-resolved Wa...

引用

2024 China Automation Congress, CAC 2024

作者： Feng, Zhongying Wang, Zhan Zhao, Yuxin Wang, Ye College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin China Engineering Research Center of Navigation Instruments Ministry of Education Harbin China College of Shipbuilding Engineering Harbin Engineering University Harbin China Qingdao Innovation and Development Center Harbin Engineering University Qingdao China State Key Laboratory of Coastal and Offshore Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798350368604

The phase-resolved wave prediction is of vital importance for improving safety in ocean engineering. However, it is a challenge for traditional physical methods to predict wave elevation accurately and efficiently at the same time. In this work, we develop a phase-resolved wave prediction model based on combined deep learning and the Koopman theory. The model can calculate in real-time while ensuring prediction accuracy. In addition, the model can predict wave elevation under the sea state 4, demonstrating certain generalization performance. ©2024 IEEE.

关键词： Ocean currents

来源：评论

学校读者我要写书评

暂无评论

A Well-Structured Data Sharing System Implementation using EC Technology and Higher end Communication Network 4

A Well-Structured Data Sharing System Implementation using E...

引用

4th IEEE International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2024

作者： Kumar, Ashok Jasim, Laith Pramanik, Atreyi Maheswari, G. Sangeetha, S. Angadi, Sanjeevkumar Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India The Islamic University Najaf Iraq Uttaranchal University School of Applied and Life Sciences Division of Research and Innovation Uttarakhand Dehradun India Hindustan Institute of Technology and Science Department of Information Technology Chennai603103 India Cmr College of Engineering & Technology Department of Eee India Nutan College of Engineering and Research Computer Science and Engineering Pune Maharashtra Talegaon Dabhade India

ISBN: (纸本)9798350360165

Vehicular traffic networks (VANETs) are an important part of modern transportation systems, focusing on critical applications such as collision avoidance, lane change assistance, and traffic recognition. However, data distribution in VANETs is very challenging, especially due to the unique characteristics of wireless communications and the dynamic traffic environment. In this context, packet delivery control is very important for proper communication. In this paper, research proposes a new Computer defined Vehicle Network (SDVN) Controlled Routing and Scheduling (CDRS) method to solve the complex data distribution problem of VANET unlike existing approaches, CDRS uses SDVN management functions to integrate a routing strategy and a scheduling strategy that optimizes multihop data transmission. Priorities in CDRS are based on routing and scheduling constraints. Current protocols focus on finding the shortest path connecting source and destination pairs, ignoring factors such as packet proximity and link length, but performance is limited in dynamic VANET environments. Similarly, current scheduling approaches focus on single-hop data distribution and ignore the © 2024 IEEE.

关键词： Vehicular ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

A joint absorbing boundary for the multiple-relaxation-time lattice Boltzmann method in seismic acoustic wavefield modeling

引用

Petroleum science 2023年第4期20卷 2113-2126页

作者： Chun-Tao Jiang Hui Zhou Mu-Ming Xia Han-Ming Chen Jin-Xuan Tang State Key Laboratory of Petroleum Resources and Prospecting CNPC Key Lab of Geophysical ExplorationChina University of PetroleumBeijing102249China CAS Engineering Laboratory for Deep Resources Equipment and Technology Institute of Geology and Geophysicsand Innovation Academy for Earth ScienceChinese Academy of SciencesBeijing100029China Research Institute of Petroleum Exploration&Development PetroChinaBeijing100083China

Conventional seismic wave forward simulation generally uses mathematical means to solve the macroscopic wave equation,and then obtains the corresponding seismic ***,when the subsurface structure is finely constructed and the continuity of media is poor,this strategy is difficult to meet the requirements of accurate wavefield *** paper uses the multiple-relaxation-time lattice Boltzmann method(MRT-LBM)to conduct the seismic acoustic wavefield simulation and verify its computational *** cope with the problem of severe reflections at the truncated boundaries,we analogize the viscous absorbing boundary and perfectly matched layer(PML)absorbing boundary based on the single-relaxation-time lattice Boltzmann(SRT-LB)equation to the MRT-LB equation,and further,propose a joint absorbing boundary through comparative *** give the specific forms of the modified MRT-LB equation loaded with the joint absorbing boundary in the two-dimensional(2D)and three-dimensional(3D)cases,***,we verify the effects of this absorbing boundary scheme on a 2D homogeneous model,2D modified British Petroleum(BP)gas-cloud model,and 3D homogeneous model,*** results reveal that by comparing with the viscous absorbing boundary and PML absorbing boundary,the joint absorbing boundary has the best absorption performance,although it is a little bit ***,this joint absorbing boundary better solves the problem of truncated boundary reflections of MRT-LBM in simulating seismic acoustic wavefields,which is pivotal to its wide application in the field of exploration seismology.

关键词： Multiple-relaxation-time Lattice Boltzmann method Seismic acoustic wavefield simulation Truncated Boundary reflection Joint absorbing boundary

来源：评论

学校读者我要写书评

暂无评论

Optical and magnetic properties of perovskite materials:Ba_(0.3)La_(0.7)Ti_(0.3)Fe_(0.7)O_(3) and Ba_(0.1)La_(0.9)Ti_(0.1)Fe_(0.9)O_(3)

引用

Journal of Rare Earths 2022年第4期40卷 652-659,I0005页

作者： Fatima El Bachraoui Zakaria Chchiyai Youssef Tamraoui Hassan El Moussaoui Jones Alami Bouchaib Manoun Materials Science Energy and Nano-engineering Department(MSN)University Mohammed VI Polytechnic43150BenguerirMorocco Hassan First University of Settat FSTRayonnement-Matière et InstrumentationS3M26000SettatMorocco Materials and Nanomaterials Center Moroccan Foundation for Advanced ScienceInnovation and Research10100RabatMorocco

Structural,optical and magnetic properties are reported for new synthesized perovskite ***_(0.3)La_(0.7)Ti_(0.3)Fe_(0.7)O_(3) and Ba_(0.1)La_(0.9)Ti_(0.1)Fe_(0.9)O_(3) compositions were prepared via solid state reaction.X-ray analysis confirms that both compositions show feature of perovskite *** refinement method was used to confirm the phase formation and investigate the structure and space *** study demonstrates the formation of orthorhombic structure with Pnma space group for Ba_(0.3)La_(0.7)Ti_(0.3)Fe_(0.7)O_(3) while the composition Ba_(0.1)La_(0.9)Ti_(0.1)Fe_(0.9)O_(3) structure adopts Pbnm ***–vis spectroscopy measurements show very broad and intense UV–visible light absorption,the estimated band gap ranges between 2.07 and 2.15 *** measurements were carried out for the compositions Ba_(0.3)La_(0.7)Ti_(0.3)Fe_(0.7)O_(3) and Ba_(0.1)La_(0.9)Ti_(0.1)Fe_(0.9)O_(3).The hysteresis loops of both samples at 300 and 10 K show a strong ferromagnetic *** temperature dependent magnetization at 0.05 T under field-cooled(FC)and zero field cooled(ZFC)modes shows magnetic frustration or spin glass-like behavior.

关键词： Perovskites Co-substitution effect Phase transition Band gap Ferromagnetic Visible light absorption

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：