检索结果-内蒙古大学图书馆

SSRN 2024年

作者： Yi, Junsin Rahman, Rafi Ur Aslam, Junaid Jony, Jaljalalul Abedin Aida, Maha Nur Mengmeng, Chu Hussain, Shahzada Qamar Park, Sangheon Khan, Alamgeer Khokhar, Muhammad Quddamah Yousuf, Hasnain Department of Electrical and Computer Engineering Sungkyunkwan University Gyeonggi-do Suwon16419 Korea Republic of Department of Physics COMSATS University Islamabad Lahore Campus Lahore54000 Pakistan Interdisciplinary Program in Photovoltaic System Engineering Sungkyunkwan University Gyeonggi-do Suwon16419 Korea Republic of Department of Future Energy Engineering Sungkyunkwan University Gyeonggi-do Suwon16419 Korea Republic of Research Institute for Clean Energy College of Information and Communication Engineering Sungkyunkwan University Gyeonggi-do Suwon16419 Korea Republic of

This research focused on synthesizing titanium dioxide (TiO2) nanomaterials using the sol-gel method to improve Silicon Heterojunction (SHJ) solar cells. Iso-Propanol Alcohol and Titanium Tetra Isopropoxides were used in the synthesis process. TiO2's wide bandgap and low work function make it a suitable replacement for these cells' n-doped amorphous silicon layer. Atomic Force Microscopy (AFM) measured the roughness and 3D profile, while UV-V spectrophotometry assessed absorption. The nanomaterials' structure and surface morphology were analyzed using Scanning Electron Microscopy (SEM) and Transmission Electron Microscope (TEM). Simulations using the AFORS-HET simulator showed that the refractive index of TiO2 and a-Si:H(n), TiO2 with a work function of 4.6 eV enhanced the solar cells' performance by 22.57%, achieving an open-circuit voltage (Voc) of 716.8 mV, a short-circuit current density (Jsc) of 37.71 mA/cm2, a fill factor (FF) of 83.49. Future work will focus on refining TiO2's nanostructure to further advance its photovoltaic applications. © 2024, The Authors. All rights reserved.

关键词： Titanium dioxide

来源：评论

学校读者我要写书评

暂无评论

Imbalance fault detection in BLDC motors through audio signals using the density of maxima and CNN

Imbalance fault detection in BLDC motors through audio signa...

引用

Brazilian Symposium on Computing system engineering (SBESC)

作者： Yuri C. Gouveia Alisson V. Brito Tiago P. Nascimento Jorge Gabriel Ramos Abel Lima Filho Graduate Program in Informatics Universidade Federal da Paraiba Joao Pessoa Brazil Laboratory of System Engineering and Robotics Universidade Federal da Paraiba Joao Pessoa Brazil Department of Physics Universidade Federal da Paraiba Joao Pessoa Brazil Department of Mechanical Engineering Universidade Federal da Paraiba Joao Pessoa Brazil

Unmanned Aerial Vehicles (UAVs), commonly known as drones, are increasingly used for various tasks. However, increased usage leads to more failures, posing risks to humans and the environment. This study identifies propeller imbalance faults in Brushless DC (BLDC) motors of UAVs. It compares two fault detection methodologies based on chaotic behavior: the alreadyknown CNN approach, and the SAC-DM+CNN approach. Both methods involve acquiring audio signals, generating spectrograms, and training a Convolutional Neural Network (CNN) model. Results show that the CNN approach achieves 98.18% accuracy, while the SAC-DM+CNN approach achieves 71.43% accuracy in classifying propeller balance faults.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Agile Assessment Methods: Current State of the Art

arXiv

引用

arXiv 2022年

作者： Telemaco, Ulisses Alencar, Paulo Cowan, Donald Oliveira, Toacy David R. Cheriton School of Computer Science University of Waterloo WaterlooON Canada System Engineering and Computing Program Federal University of Rio de Janeiro Rio de Janeiro Brazil

Agility Assessment (AA) comprises tools, assessment techniques, and frameworks that focus on indicating how a company or a team is applying agile techniques and eventually pointing out problems in adopting agile practices at a project-level, organization-level or individual-level. There are many approaches for AA such as agility assessment models, agility checklists, agility surveys, and agility assessment tools. This report presents the state of the art approaches that support agility assessment. © 2022, CC BY.

关键词：

来源：评论

学校读者我要写书评

暂无评论

To Enhance the Display Factory’s Flexibility of Material Management by Applying TRIZ

International Journal of Systematic Innovation

引用

International Journal of systematic Innovation 2021年第3期6卷 53-62页

作者： Huang, Wen-Cheng Shaw, Heiu-Jou Egineering Management Graduate Program College of Engineering National Cheng Kung University Taiwan Department of System and Naval Mechatronic Engineering National Cheng Kung University Taiwan

In order to control the manpower and production flexibility, many factories will choose to manufacture the components itself, few components will be outsourced, and later assembled into a monitor. There are many ways to outsource, including pure outsourcing foundry;complete outsourcing;partial outsourcing. All of these methods have affected the production elasticity and manpower utilization of the display factory. How to find the optimal management method for the key components of the display has become a very important issue. In the case study on the display factory, the purpose is to find out the most suitable and flexible material management. By applying the theory of TRIZ to find out the best flexible self-made or outsourced management of materials. The research can also provide the display factory a reference in the key components of self-made and outsourcing management. At the same time, it will enhance the flexibility of manufacturing and increase the overall efficiency of the display factory. © 2021. All Rights Reserved.

关键词： Display Outsourcing management Production flexibility TRIZ

来源：评论

学校读者我要写书评

暂无评论

Evaluation of the Mechanisms Acting on the Atlantic Meridional Overturning Circulation in CESM2 for the 1pctCO_(2) Experiment

引用

Journal of Atmospheric Science Research 2024年第1期7卷 40-58页

作者： Lívia Sancho Elisa Passos Marcio Cataldi Luiz Paulo de Freitas Assad Luiz Landau Laboratory of Computational Methods in Engineering Civil Engineering ProgramAlberto Luiz Coimbra Institute for Graduate Studies and Research in EngineeringFederal University of Rio de JaneiroRio de Janeiro21941-617Brazil Civil Engineering Program Alberto Luiz Coimbra Institute for Graduate Studies and Engineering ResearchFederal University of Rio de JaneiroRio de Janeiro21941-617Brazil Physical Oceanography Laboratory Department of Physical OceanographyFaculty of OceanographyRio de Janeiro State UniversityRio de Janeiro20559-900Brazil Climate System Monitoring and Modeling Laboratory Water Resources and Environmental EngineeringFluminense Federal University24020-140Brazil Regional Atmospheric Modeling Group(MAR) Physics of the EarthDepartment of PhysicsRegional Campus of International Excellence(CEIR)“Campus Mare Nostrum”University of MurciaMurcia30100Spain Department of Meteorology Institute of GeosciencesFederal University of Rio de JaneiroRio de Janeiro21941-617Brazil

The Atlantic Meridional Overturning Circulation(AMOC)is a crucial component of the Earth’s climate system due to its fundamental role in heat distribution,carbon and oxygen transport,and the *** climate components,such as the atmosphere and sea ice,influence the *** the physical mechanisms of those interactions is paramount to increasing knowledge about AMOC’s *** this study,the authors used outputs from the Community Earth system Model version 2 and observational data to investigate changes in theAMOC and the associated physical *** DECK experiments were evaluated:piControl and 1pctCO_(2),with an annual increase of 1%of atmospheric CO_(2).The analysis revealed a significant decrease in the AMOC,associated with changes in mixed layer depth and buoyancy in high latitudes of the North Atlantic,resulting in the shutdown of deep convection and potentially affecting the formation of North Atlantic Deep Water and Antarctic Bottom Water.A vital aspect observed in this study is the association between increased runoff and reduced water evaporation,giving rise to a positive feedback ***,the rates of freshwater spreading have intensified during this period,which could lead to an accelerated disruption of the AMOC beyond the projections of existing models.

关键词： AMOC Meridional cell Climate change Deep circulation CESM2 results CMIP6

来源：评论

学校读者我要写书评

暂无评论

Cyber Security for Hoax News Detection with Similarity Algorithm

Cyber Security for Hoax News Detection with Similarity Algor...

引用

International Conference on Informatics and Computing (ICIC)

作者： Sy.Yuliani Yakub David Agustriawan Irmawati Dinar Ajeng Kristiyanti Shahrin Sahib Mohd Faizal Abdollah Mohammed Nasser Al-Mhiqani Yusuf Durachman The Informatic Study Program Faculty of Engineering and Informatics Universitas Multimedia Nusantara Tangerang Indonesia Faculty of Information Communication Technology Universiti Teknikal Malaysia Melaka Melaka Malaysia Department of Cyber Security University of Huddersfield United Kingdom Department of Information System State Islamic University of Syarif Hidayatullah Jakarta Jakarta Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

Hoax news is false information disseminated to deceive or mislead audiences, often with the aim of swaying opinions or creating confusion. The rise of social media has amplified the spread of hoax news, particularly in sensitive areas such as politics and health. In response to this growing issue, this paper proposes a Natural Language Processing (NLP) approach of detecting hoax news using the Smith-Waterman similarity algorithm. By comparing news content with a curated dataset of verified hoaxes, the system calculates a similarity score to assess the likelihood of the news being false. The results of this study show that news articles analyzed using the Smith-Waterman algorithm achieve a high accuracy, with a similarity score exceeding $93 \%$ for news inputs over 100 words. Furthermore, the proposed system demonstrates an efficient processing time, completing the analysis in approximately 6.57 seconds. These findings underscore the algorithm’s potential for real-time application in detecting fake news on social media and other digital platforms. This research aims not only to enhance the technical capabilities of hoax detection systems but also to foster greater media literacy and a more informed public.

关键词： Accuracy Social networking (online) Scalability Approximation algorithms Real-time systems Natural language processing Fake news Informatics Optimization Testing

来源：评论

学校读者我要写书评

暂无评论

Investigation of thermal properties of ethylene glycol-based Williamson hybrid-nanofluid over stretchable/shrinking flat plate and their effects on solar panels

引用

International Journal of Thermofluids 2024年 24卷

作者： Aselebe, L.O. Adeosun, A.T. Kasali, K.B. Yisa, B.M. Salaudeen, K.A. Adesina, R.O. Federal School of Surveying Oyo Nigeria Department of Mathematics Federal College of Education Iwo Nigeria Department of Mathematics and Statistics First Technical University Ibadan Nigeria Department of Mathematics Faculty of Physical Sciences University of Ilorin Ilorin Nigeria Department of Mathematics and Computing Science Education Faculty of Science Education Emmanuel Alayande University of Education Oyo Nigeria Energy System Science and Engineering Program Department of Electronic and Electrical Engineering Obafemi Awolowo University Ile-Ife Nigeria

The global requirement for sustainable energy supply to enhance industrial productivity and reduce production costs has focused researchers’ attention to renewable energy in recent years. Solar energy mitigates the dangers connected with the use of fossil fuels in electricity generation. This work is set to evaluate the heat transmission capacities of Williamson hybrid nanofluid flow across a flat plate with viscous dissipation and heat source. The mathematical model explaining the flow interaction of Williamson hybrid nanofluid, combining viscous dissipation, heat source, and temperature-variation thermal conductivity and viscosity, is created using conservation laws. The specified system of non-linear coupled partial differential equations undergoes non-similarity transformation. The resulting non-dimensional model is solved using the bivariate spectral weighted residual method. The accuracy of the method is proven by comparing obtained results with those in the literature, and a good agreement is observed. Graphs are utilized to explain the thermophysical properties that are being considered. The results show that the fluid temperature rises when there is a source of heating and viscous dissipation. The velocity and the fluid parameter (We) have an inverse connection, whereas the temperature of the fluid has the opposite impact. Moreover, when nanoparticles are present, the thermal boundary layer rises along with the nanoparticles, thickening the velocity boundary layer and decreasing fluid velocity. Findings also show that for the Vd∈[0.1,0.5], the skin drag force and Nusselt number retard by 0.64%,14.06% for the shrinking sheet and 0.21%,6.57% for the stretching sheet respectively. In the same vein, an 100% surge in the porosity parameter escalate the skin friction coefficient by 19.13% and 26.91% and the Nusselt number by 4.92% and 2.06% respectively for both the contracting and elastic sheet. The findings in the research will provide more insight in the desig

关键词： Nusselt number

来源：评论

学校读者我要写书评

暂无评论

A DISEASE-SPECIFIC FOUNDATION MODEL USING OVER 100K FUNDUS IMAGES: RELEASE AND VALIDATION FOR ABNORMALITY AND MULTI-DISEASE CLASSIFICATION ON DOWNSTREAM TASKS

arXiv

引用

arXiv 2024年

作者： Jang, Boa Ahn, Youngbin Choe, Eun Kyung Yoon, Chang Ki Choi, Hyuk Jin Kim, Young-Gon Interdisciplinary Program in Bioengineering College of Engineering Seoul National University Korea Republic of Department of Transdisciplinary Medicine Seoul National University Hospital Korea Republic of Interdisciplinary Program of Medical Informatics Seoul National University College of Medicine Korea Republic of Department of Surgery Seoul National University Hospital Healthcare System Gangnam Center Korea Republic of Department of Ophthalmology Seoul National University College of Medicine Korea Republic of Department of Ophthalmology Seoul National University Hospital Healthcare System Gangnam Center Korea Republic of Department of Medicine Seoul National University College of Medicine Korea Republic of

Artificial intelligence applied to retinal images offers significant potential for recognizing signs and symptoms of retinal conditions and expediting the diagnosis of eye diseases and systemic disorders. However, developing generalized artificial intelligence models for medical data often requires a large number of labeled images representing various disease signs, and most models are typically task-specific, focusing on major retinal diseases. In this study, we developed a Fundus-Specific Pretrained Model (Image+Fundus), a supervised artificial intelligence model trained to detect abnormalities in fundus images. A total of 57,803 images were used to develop this pretrained model, which achieved superior performance across various downstream tasks, indicating that our proposed model outperforms other general methods. Our Image+Fundus model offers a generalized approach to improve model performance while reducing the number of labeled datasets required. Additionally, it provides more disease-specific insights into fundus images, with visualizations generated by our model. These disease-specific foundation models are invaluable in enhancing the performance and efficiency of deep learning models in the field of fundus imaging. Copyright © 2024, The Authors. All rights reserved.

关键词： Ophthalmology

来源：评论

学校读者我要写书评

暂无评论

Trends, Opportunities, and Challenges in Detecting Depressive Disorders Through Mobile Devices: A Review 2

Trends, Opportunities, and Challenges in Detecting Depressiv...

引用

2nd International Conference on Computer system, Information Technology, and Electrical engineering, COSITE 2023

作者： Elwirehardja, Gregorius Natanael Isnan, Mahmud Perbangsa, Anzaludin Samsinga Muchtar, Kahlil Pardamean, Bens Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Mahmud Isnan Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Information System Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Department of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9798350343069

Depressive Disorders (DD) is one of the most prevalent mental disorders in the world that may lead to suicide cases. To prevent the latter, ubiquitous early detection systems may be effective. Recent studies have since researched the development of such systems by exploiting several forms of data, including video, audio, Ecological Momentary Assessments (EMA), and passive sensing data using sensors embedded in mobile devices. To summarize the trends, opportunities, and existing challenges in this field, this study reviewed 15 papers to answer four research questions. EMA was the most popular data to be used in this task, but other approaches, such as using video, audio, and typing behaviors, may be considered due to the subjectivity of EMA. These data were typically recorded using smartphones and analyzed using Machine Learning (ML). However, most of the developed systems had yet to be implemented. Overall, it was concluded that further studies may need to explore usages of more objective data in multimodal approaches as well as consider using Mobile Cloud Computing (MCC) to deploy these systems to provide more effective and efficient diagnoses. Future studies must also take into account the existing challenges of the data and infrastructures, such as the weaknesses of several data types, limitations of mobile devices, as well as the challenges of diagnosis approaches. © 2023 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Deep Learning for Cyber Security: Deephoax Detection

Deep Learning for Cyber Security: Deephoax Detection

引用

Advanced Innovations in Smart Cities (ICAISC), International Conference on

作者： SY. Yuliani Yakub Rivo Juicer Wowor David Agustriawan Irmawati Dinar Ajeng Kristiyanti P.M. Winarno Rosilah Hassan Roshayu Mohamad Randy Zahran Razzaq Department of Informatics Universitas Multimedia Nusantara Tangerang Indonesia Information System Study Program Universitas Multimedia Nusantara Tangerang Indonesia Center for Cyber Security (CYBER) Universiti Kebangsaan Malaysia Selangor Malaysia College of Computer Science and Engineering University of Jeddah Jeddah Saudi Arabia Department of Informatics UIN Sultan Maulana Hasanuddin Banten Indonesia

ISBN: (数字)9798331506995

ISBN: (纸本)9798331507008

The increasing prevalence of deep hoaxes, such as fake news and phishing schemes, poses a significant threat to cybersecurity, undermining trust and spreading misinformation. In Indonesia, surveys indicate that more than 60% of people exposed to hoax news believe that it is true, emphasizing the urgent need for robust detection methods. Traditional cybersecurity approaches often struggle to keep pace with the growing scale and sophistication of these attacks. To address this challenge, this research investigates the use of deep learning techniques, specifically focusing on text-based hoax detection in the Indonesian language. The study fine-tunes IndoBERT, a pretrained deep learning model optimized for Indonesian text, to enhance the accuracy and scalability of hoax detection. The IndoBERT model was trained on a balanced dataset of 29,552 articles, comprising both hoax and real news content, collected from the Mafindo API and Kaggle's Indonesia News Dataset. The model was fine-tuned using supervised learning and evaluated using several key metrics, including accuracy, F1-score, precision, and recall. The results demonstrate that IndoBERT outperforms existing state-of-the-art approaches, achieving an accuracy of 98.51%, an F1-score of 98.44%, and a precision of 98.23% on the test set. These results highlight the effectiveness of IndoBERT for hoax detection, which offers a scalable solution to improve cybersecurity defenses against deceptive content. This research contributes to the integration of advanced deep learning models into cybersecurity systems, addressing the evolving landscape of cyber threats.

关键词： Deep learning Measurement Training Surveys Adaptation models Technological innovation Accuracy Computer security Fake news Videos

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：