检索结果-内蒙古大学图书馆

2023 IEEE Region 10 Symposium, TENSYMP 2023

作者： Montanez, John Joshua F. De Ocampo, Anton Louise P. College of Engineering Bicol State College of Applied Sciences and Technology Camarines Sur Naga City Philippines Electronic Systems Research Center Batangas State University Batangas City Philippines

ISBN: (纸本)9781665482585

Combining the Finite Element Method (FEM) and Boundary Element Method (BEM) opened a wide array of solutions for ordinary and partial differential equations deemed helpful for engineers and scientists. These methods were applied in various branches of sciences and engineering, especially in computational electromagnetics. This study used computational software to illustrate the coupled FEM-BEM solution in a Microstrip Transmission Line. The processes in coupled FEM-BEM solution were observed, i.e., discretize, derive, assemble, and solve for the Electric Field Intensity and Potential solution regions. The triangular and quadrilateral elements are the geometries used in the discretization process. The number of elements using triangular elements garnered the highest number produced compared to quadrilateral elements. Moreover, the number of nodes produced is constant regardless of the elements utilized. Lower capacitance was noted using quadrilateral elements compared to triangular elements. © 2023 IEEE.

关键词： Boundary element method

来源：评论

学校读者我要写书评

暂无评论

Removal of arsenate with hydrous ferric oxide coprecipitation: Effect of humic acid

引用

Journal of Environmental sciences 2014年第2期26卷 240-247页

作者： Jingjing Du Chuanyong Jing Jinming Duan Yongli Zhang Shan Hu State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of Sciences School of Environmental and Municipal Engineering Xi’an University of Architecture and Technology College of Architecture and Environment Sichuan University

Insights from the adverse effect of humic acid （HA） on arsenate removal with hydrous ferric oxide （HFO） coprecipitation can further our understanding of the fate of As（V） in water treatment process. The motivation of our study is to explore the competitive adsorption mechanisms of humic acid and As（V） on HFO on the molecular scale. Multiple complementary techniques were used including macroscopic adsorption experiments, surface enhanced Raman scattering （SERS）, extended X-ray absorption fine structure （EXAFS） spectroscopy, flow-cell attenuated total reflectance Fourier transform infrared （ATR-FTIR） measurement, and charge distribution multisite complexation （CD- MUSIC） modeling. The As（V） removal efficiency was reduced from over 95% to about 10% with the increasing HA concentration to 25 times of As（V） mass concentration. The SERS analysis excluded the HA-As（V） complex formation. The EXAFS results indicate that As（V） formed bidentate binuclear surface complexes in the presence of HA as evidenced by an As-Fe distance of 3.26--3.31 ,~. The in situ ATR-FTIR measurements show that As（V） replaces surface hydroxyl groups and forms inner- sphere complex. High concentrations of HA may physically block the surface sites and inhibit the As（V） access. The adsorption of As（V） and HA decreased the point of zero charge of HFO from 7.8 to 5.8 and 6.3, respectively. The CD-MUSIC model described the zeta potential curves and adsorption edges of As（V） and HA reasonably well.

关键词： arsenate humic acid HFO adsorption multiple spectroscopic techniques

来源：评论

学校读者我要写书评

暂无评论

Dielectric anisotropy in liquid crystal mixtures with nematic and smectic phases

引用

Chinese Physics B 2024年第8期33卷 519-524页

作者：汤星舟叶家耀王子烨姜皓译尚小虎杨朝雁李炳祥 Nanjing University of Posts and Telecommunications College of Electronic and Optical Engineering&College of Flexible Electronics(Future Technology)Nanjing 210023China National Laboratory of Solid State Microstructures College of Engineering and Applied SciencesNanjing UniversityNanjing 210023China

The modulation of dielectric anisotropy(△ε)is pivotal for elucidating molecular interactions and directing the alignment of liquid *** this study,we combine liquid crystals with opposing dielectric anisotropies to explore the impact of varying concentrations on their *** report the sign-reversal of△εin both the nematic and smectic A phases of these mixed liquid crystals,alongside a dual-frequency behaviour across a broad temperature *** research further quantifies the influence of mixture ratios under various temperatures and electric field *** exploration may pave the way for the discovery of new physical phenomena.

关键词： mixed liquid crystal dielectric anisotropy tunable nematic smectic

来源：评论

学校读者我要写书评

暂无评论

Consumer technology in Task Offloading and Edge Resource Allocation: AIoT and Edge Computing for Next-Generation Communication

引用

IEEE Transactions on Consumer Electronics 2025年

作者： Byeon, Haewon Alsaadi, Mahmood Quraishi, Aadam Alghamdi, Azzah Ahanger, Tariq Ahamed Keshta, Ismail Xalikovich, Pardayev Abdunabi Soni, Mukesh Bhatt, Mohammed Wasim Convergence Department Korea University of Technology and Education Cheonan Korea Republic of Department of Computer Sciences College of Science University of Al Maarif Al Anbar31001 Iraq M.D. Research Intervention Treatment Institute HoustonTX United States Computer Information Systems Department College of Computer Science and Information Technology Imam Abdalrhman Bin Faisal University Khobar Saudi Arabia Department of Management Information Systems CoBA Prince Sattam Bin Abdulaziz University Saudi Arabia Computer Science and Information Systems Department College of Applied Sciences AlMaarefa University Riyadh Saudi Arabia The Department of Accounting and Reporting Tashkent State University of Economics Tashkent Uzbekistan Division of Research and Development Lovely Professional University Phagwara India Dr. D. Y. Patil Vidyapeeth Dr. D. Y. Patil School of Science & Technology Pune Tathawade Pune India Model Institute of Engineering and Technology J&K Jammu India

Artificial Intelligence of Things (AIoT) edge computing has emerged as a critical enabler for consumer technology, easing the load on distribution grid networks through enhanced data transmission and processing capabilities. The Internet of Things (IoT), a modern network paradigm, connects devices using sensors and communication mediums to enable seamless information exchange. However, the limited computational capacity of edge nodes poses challenges in optimizing AIoT edge resources compared to cloud computing. To address this, a cloud-edge three-layer framework for task offloading and edge resource allocation is proposed in the context of consumer technology and distribution grids. This model incorporates random tasks, limited resources, unequal processing power, and high latency requirements. It features two key phases: a resource auction using a multi-round iterative process and compute offloading managed by a Deep Reinforcement Learning (DRL) approach. Enhanced algorithms such as Double DQN and Dueling DQN are integrated into the job offloading process to improve performance. Simulations validate the convergence of the task offloading algorithm and demonstrate that the proposed methods significantly enhance computational efficiency and resource utilization for edge nodes. These advancements offer promising solutions for the dynamic needs of consumer technology and future communication networks. © 2025 IEEE.

关键词： Computation offloading

来源：评论

学校读者我要写书评

暂无评论

Dual-Modification Strategy for Efficient Inverted Perovskite Solar Cells Via Thermally Induced Liquid Crystal and Boosting of Phenethylammonium by Carbazole

SSRN

引用

SSRN 2025年

作者： Mehmood, Bilal Zhang, Chen Wu, Shan Lu, Jiangying Zheng, Xu Jiang, Wei Amin, Kamran Lu, Shudi Sultan, Dr. Muhammad Ashraf, Tanveer Wang, Zhijie Deng, Hui-Xiong Liu, Kong Qu, Shengchun Khan, Muhammad Iftikhar Laboratory of Solid-State Optoelectronics Information Technology Beijing Key Laboratory of Low Dimensional Semiconductor Materials and Devices Key Laboratory of Semiconductor Materials Science China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China State key laboratory of semiconductor chip physics and technology Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China School of Chemistry and Chemical Engineering Guangxi University Nanning53004 China CAS Key Laboratory of Nano systems and Hierarchical Fabrication National Center for Nanoscience and Technology Chinese Academy of Sciences Beijing100190 China Department of Physics Hebei Normal University of Science & Technology Qinhuangdao066004 China Department of Physics The University of Lahore 53700 Pakistan Department of Physics Kohsar University Murree Punjab 47150 Pakistan National Institute of Lasers and Optronics-College Pakistan Institute of Engineering and Applied Science [NILOP-C-PIEAS Pakistan

In the one-step spin-coating method, the high-melting-point additives often co-precipitate during perovskite crystallization and aggregate at the interface, leading to spatial inhomogeneity and surface stress. This presents a challenge for achieving both high efficiency and good stability simultaneously. In this study, we report the use of highly diffusible 3,4,5, trifluoro-4'-(trans-4-propylcyclohexyl)-biphenyl (3,4,5-TTPCB) as in-situ passivation (ISP) of perovskite materials. Additionally, phenethylammonium (PEA+) material properties in the presence of Cl-, I-, Br-, are enhanced with carbazole (Cbz) interaction, and it is also used for perovskite surface passivation (SP) to improve perovskite chemical and physical stability (oxygen and moisture). The resulting ISP3mol%(3,4,5-TTPCB)/SP2.5mol%(PEACl+Cbz)-treated p-i-n PSC (1.6 eV) achieves a power conversion efficiency (PCE) of 24.19% with a fill factor (FF) of 83% for a 0.05-cm2 device, which is attributed to the reduction in nonradiative recombination. The unencapsulated dual-modified devices retain ≥ 90% of their initial PCE under ISOS-D-1 and ISOS-L-1 conditions after 1,200 hours, exhibit low phase segregation under ISOS-D-3 (85 ℃, 85% RH), and in ambient conditions (RH: ~35 ± 5%, 25 ± 5 ℃). We believe that this dual-modification approach represents a promising strategy for improving the long-term stability of high-performance PSCs. © 2025, The Authors. All rights reserved.

关键词： Spin coating

来源：评论

学校读者我要写书评

暂无评论

Smart Defect Detection and Sortation through Image Processing for Corn

Smart Defect Detection and Sortation through Image Processin...

引用

IEEE Region 10 International Conference TENCON

作者： John Joshua F. Montañez College of Engineering and Architecture Bicol State College of Applied Sciences and Technology Naga City Philippines

ISBN: (数字)9781728184555

ISBN: (纸本)9781728184562

This research aims to develop smart defect detection and sortation for corn with the use of image processing. This project helps to speed up manual inspection to improve productivity and reduce the time consumed by farmers in sorting. The defect detection process is done through image processing using an open computer vision library and Python. The corn is manually placed in the roller conveyor, passing under a camera acquiring the real-time image. The sorting process eliminates the damaged corn from those that were in good condition. The system acquires real-time image data from a camera feed to a computer for analyzing purposes. Images were scanned as the corn ear was traveling through the conveyor. A program that effectively analyzes acquired corn images' required features was developed in Python using the Open Computer Vision (OCV) library. A conveyor that comes with a built-in corn sortation mechanism was controlled by Raspberry Pi that directs the corn to its desired group. On the evaluation of the accuracy of the system, a series of trials were conducted. The result of the evaluation yielded a 92% success rate in terms of defect detection and sortation. Revisions were made after the initial testing of the project. Problems and its causes were identified to improve the performance of the whole system.

关键词： Image processing Sorting Testing Computer vision Servomotors Real-time systems Python

来源：评论

学校读者我要写书评

暂无评论

Nano-size fragmentation of Tantalum in Copper composite using additive manufacturing

arXiv

引用

arXiv 2025年

作者： Das, Rakesh Dubey, Pawan Kumar de Oliveira, Raphael Benjamim Galvao, Douglas S. Manna, Indranil Joshi, Sameehan S. Owuor, Peter Samora Machado, Leonardo D. Katiyar, Nirmal Kumar Chakraborty, Suman Tiwary, Chandra Sekhar Department of Metallurgical and Materials Engineering Indian Institute of Technology Kharagpur West Bengal Kharagpur721302 India Department of Mechanical Engineering Indian Institute of Technology Kharagpur West Bengal Kharagpur721302 India Departamento de Física Teórica e Experimental Universidade Federal do Rio Grande do Norte Rio Grande do Norte Natal59072-970 Brazil State University of Campinas Applied Physics Department Center for Computing Engineering and Sciences São Paulo Campinas13083-970 Brazil Materials Science and Engineering University of North Texas DentonTX76207 United States Center for Agile and Adaptive Additive Manufacturing University of North Texas 76207 United States Carbon Center of Excellence Morgan Advanced Materials State CollegePA16803 United States Amity Institute of Applied Sciences Amity University Noida201303 India

The biggest challenge in manufacturing an immiscible system is phase segregation and non-uniformity inside the composite matrix. Additive manufacturing has the potential to overcome these difficulties due to the high cooling rate achieved during the process. Here we have developed immiscible Copper-based composites reinforced with Tantalum, which were fabricated using the powder bed fusion melting (PBF-M) technique. The distinct advantage of utilizing Tantalum in this process resides in its high melting point, allowing it to remain in particle form within the composite and contribute to its mechanical and surface/wear properties. The PBF-M results in the in situ fragmentation of micron-size Tantalum particles into nanoparticle form through a surface roughening process during laser interaction, enhancing its mechanical and wear properties. The microstructural evolution of Cu-Ta composites is explained through multiscale numerical modeling. The enhanced yield strength and the dynamics of the Ta particles were corroborated by molecular dynamics simulations. The maximum yield strength is exhibited by Cu-5wt%Ta of 80 MPa. Addition of Ta also have significant improvement in wear properties of composites. The current results can be exploited to develop complex shape, high energy efficient copper-based composites. Copyright © 2025, The Authors. All rights reserved.

关键词： Tantalum

来源：评论

学校读者我要写书评

暂无评论

PCA: Semi-Supervised Segmentation with Patch Confidence Adversarial Training

引用

IEEE Transactions on Network Science and engineering 2025年

作者： Xu, Zhenghua Yang, Runhe Xu, Zihang Zhang, Shuo Yang, Yuchen Liu, Weipeng Xu, Weichao Chen, Junyang Lukasiewicz, Thomas Leung, Victor C. M. Hebei University of Technology State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Health Sciences and Biomedical Engineering Tianjin China The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong The Johns Hopkins University Department of Applied Mathematics and Statistic Baltimore United States Hebei University of Technology School of Artificial Intelligence Tianjin China Hebei Provincial Hospital of Traditional Chinese Medicine Digestive Disease Center Shijiazhuang China Shenzhen University College of Computer Science and Software Engineering Shenzhen China University of Oxford Department of Computer Science University of Oxford United Kingdom Department of Computer Science United Kingdom Vienna University of Technology institute of Logic and Computation nstitute of Logic and Computation Vienna Austria

Deep-learning-based semi-supervised learning (SSL) methods have achieved a strong performance in medical image segmentation, which can alleviate doctors' expensive annotation by utilizing a large amount of unlabeled data. Unlike most existing semi-supervised learning methods, adversarial training methods distinguish samples from different sources by learning the data distribution of the segmentation map, leading the segmenter to generate more accurate predictions. We argue that the current performance restrictions for such approaches are the problems of feature extraction and learning preferences. In this paper, we propose a new semi-supervised adversarial method called Patch Confidence Adversarial Training (PCA) for medical image segmentation. The PCA method's discriminator penalizes patch-level structures, guiding the generator to optimize different patch areas, by leveraging pixel context, the generator is driven to focus on high-frequency features, making it harder to deceive the discriminator and easy to converge to an ideal state, which more effectively guides the segmenter to generate high-quality pseudo-labels. Furthermore, at the discriminator's input, we supplement image information constraints, making it simpler to fit the expected data distribution. Extensive experiments on the Automated Cardiac Diagnosis Challenge (ACDC) 2017 dataset and the Brain Tumor Segmentation (BraTS) 2019 challenge dataset show that our method outperforms the state-of-the-art semi-supervised methods, which demonstrates its effectiveness for medical image segmentation. © 2025 IEEE. All rights reserved.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

A new grid-associated algorithm in the distributed hydrological model simulations

引用

Science China(Technological sciences) 2010年第1期53卷 235-241页

作者： XU Rui1,2,HUANG XiaoXue1,LUO Lin1 & LI ShaoCai3 1 state Key Laboratory of Hydraulics and Mountain River engineering college of architecture and Environment,Sichuan University,Chengdu 610065,China 2 college of Electronic engineering,Guilin University of Electronic technology,Guilin 541004,China 3 college of Life sciences,Sichuan University,Chengdu 610065,China State Key Laboratory of Hydraulics and Mountain River Engineering College of Architecture and Environment Sichuan University Chengdu China College of Electronic Engineering Guilin University of Electronic Technology Guilin China College of Life Sciences Sichuan University Chengdu China

This paper presents a new grid-associated algorithm to improve the performance of a D8 algorithm based distributed hydrological model *** algorithm is based on the well known single-flow D8 algorithm of grid *** algorithm allocates calculation priorities according to the distance between the units and the outlet,then carries out the ergodic computations of the hydrological units according to the priority *** the parallelized algorithm,a standard thread-level shared memory system for parallel programming(OpenMP-Open specifications for Multi Processing) was introduced,and the parallel coding was implemented in C lan-guage.A case study showed that the absolute speed-up ratio of the grid-associated algorithm is 1.64 over the original D8 algorithm,and the linear speed-up ratio of the parallel associated algorithm is 2.42 under 4 *** parallel grid-associated algorithm can be applied to a variety of research fields that use the grid method.

关键词： distributed hydrological model grid-association algorithm OpenMP parallel computing

来源：评论

学校读者我要写书评

暂无评论

The multifaceted role of CS1 (SLAMF7) in immunoregulation: Implications for cancer therapy and autoimmune disorders

引用

Experimental Cell Research 2025年第1期447卷 114516页

作者： Altalbawy, Farag M.A. Babamuradova, Zarrina Baldaniya, Lalji Singh, Abhayveer Singh, Kamred Udham Ballal, Suhas Sabarivani, A. Sead, Fadhil Faez Alam, Rubyat Alshahrani, Mohammad Y. Department of Chemistry University College of Duba University of Tabuk Tabuk Saudi Arabia National Institute of Laser Enhanced Sciences (NILES) University of Cairo Giza 12613 Egypt Internal Diseases of Pediatric Faculty Samarkand State Medical University Samarkand Uzbekistan Marwadi University Research Center Department of Pharmaceutical Sciences Faculty of Health Sciences Marwadi University Gujarat Rajkot 360003 India Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura 140401 India School of Computing Graphic Era Hill University Dehradun India Graphic Era Deemed to Be University Uttarakhand Dehradun 248002 India Department of Chemistry and Biochemistry School of Sciences JAIN (Deemed to Be University) Karnataka Bangalore India Department of Biomedical Sathyabama Institute of Science and Technology Tamil Nadu Chennai India Department of Dentistry College of Dentistry The Islamic University Najaf Iraq Department of Medical Analysis Medical Laboratory Technique College The Islamic University of Al Diwaniyah Al Diwaniyah Iraq Department of Medical Analysis Medical Laboratory Technique College The Islamic University of Babylon Babylon Iraq Applied Chemistry & Chemical Engineering University of Dhaka Bangladesh Central Labs King Khalid University AlQura'a Abha Saudi Arabia Department of Clinical Laboratory Sciences College of Applied Medical Sciences King Khalid University Abha Saudi Arabia

CS1 (SLAMF7), a pivotal immune receptor, plays a dual role in modulating immune responses in autoimmune diseases and cancer. In autoimmunity, aberrant CS1 signaling contributes to the activation of autoreactive lymphocytes, driving pathologies such as systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA). Conversely, in oncology, CS1 serves as a promising immunotherapeutic target, exemplified by the efficacy of the monoclonal antibody Elotuzumab in multiple myeloma. CS1 mediates immune cell functions through intricate signaling pathways, including interactions with EAT-2 and SAP adaptors, which influence cytotoxicity, cytokine production, and immune homeostasis. Beyond cancer and autoimmune diseases, soluble and membrane-bound forms of CS1 are emerging as biomarkers and potential therapeutic targets. Despite significant progress, gaps remain in understanding CS1\u2019s mechanisms, variability in expression, and role in other diseases. This study explores the multifaceted functions of CS1, proposing innovative strategies to leverage its therapeutic potential across diverse pathologies. © 2025 Elsevier Inc.

关键词： Autoimmunity Cancer CS1 Immunotherapy Inflammation SLAMF7

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：