检索结果-内蒙古大学图书馆

2024 International Conference on Intelligent and Innovative Practices in engineering and Management, IIPEM 2024

作者： Manju, K. Dinesh, P.M. Jeyageetha, K. Lakshmi, G. Prasanna Thangavel, Kuntavai Alagarsamy, Manjunathan Sona College of Technology Department of Electronics and Communication Engineering Tamil Nadu Salem India Ramco Institute of Technology Department of Computer Science and Engineering Tamil Nadu Rajapalayam626117 India Sandip University School of Computer Science and Engineering Maharashtra Nashik India Adhiparasakthi Engineering College Melmaruvathur Department of Electrical and Electronics Engineering Tamil Nadu Chengalpattu603319 India K.Ramakrishnan College of Technology Department of Electronics and Communication Engineering Tamil Nadu Trichy India

ISBN: (纸本)9798350390049

A bacterial infection is the primary cause of the chronic lung disease tuberculosis, among the ten most common causes of death. Because it may be fatal, TB must be accurately and promptly detected. The identification and treatment of the problem caused by TB require the accurate detection of the disease using image pre-processing, Deep learning, picture segmentation, and data augmentation categorization using X-ray pictures of the chest. Before being employed for transfer learning, the initial weights of nine distinct deep CNN's (ResNet18, ResNet50, ResNet101, Chex Net, InceptionV3, Vgg19, DenseNet201, Squeeze Net, and Mobile Net) were trained, validated, and tested for TB and non-TB case detection. © 2024 IEEE.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

A Comparative Analysis of Goal-Oriented Requirements engineering and Model-Based Systems engineering Frameworks for Managing Requirements of Systems of Systems 25

A Comparative Analysis of Goal-Oriented Requirements Enginee...

引用

25th International Arab Conference on Information Technology, ACIT 2024

作者： Alhajhassan, Suhair Murrar, Samer Samhan, Ahmad Odeh, Mohammed Elrashidi, Ali Applied Science Private University Software Engineering Department Amman Jordan Applied Science Private University Computer Science Department Amman Jordan Zarqa University Software Engineering Department Zarqa Jordan Global Academy for Digital Health Bristol United Kingdom University of Business and Technology Department of Electrical Engineering Jeddah Saudi Arabia

ISBN: (纸本)9798331540012

Goal-oriented requirements engineering (GORE) for Systems of Systems (SoS) includes combining individual operational systems local goals to achieve higher-level goals. GORE offers a structured approach to managing complex requirements, ensuring that strategic goals are translated into operational tasks. This paper provides a review of GORE frameworks, including those incorporating Model-Based Systems engineering (MBSE), that could be used in the management of complex Systems of Systems. The paper analyzes recent GORE frameworks such as CGS4Adaptation which combines Goals and SysML for managing adaptive Socio-Cyber-Physical Systems (SCPSs);GORE-based approach to Energy Management Systems (EnMS);Model-Based and Goal-Oriented Approach for the conceptual design of smart grid services;GORE and reference architecture approach for microgrid systems;and Adaptation-Oriented Requirement Modeling approach (ADORE). A comparative analysis is conducted to assess the extent of effectiveness these frameworks provide for improving SoS traceability, adaptability, and system design integrity. The paper concludes with key findings on the strengths and limitations of the considered frameworks, on the basis of which, major conclusions on how GORE combined with MBSE can be used for managing SoS requirements in Smart Grid (SG) and socio-cyber-physical systems could be drawn. This review paper also contributes to the requirements engineering domain by outlining effective strategies for designing and managing complex, adaptive Systems of Systems. © 2024 IEEE.

关键词： Conceptual design

来源：评论

学校读者我要写书评

暂无评论

A Hilbert Transform for Antenna Array Beam Synthesizing

A Hilbert Transform for Antenna Array Beam Synthesizing

引用

2023 Cross Strait Radio science and Wireless Technology Conference, CSRSWTC 2023

作者： Zhang, Yan He, Xinyi Guo, Xiang Wang, Shuxin Chen, Hang School of Information Science and Engineering Southeast University Nanjing210096 China Michigan University Electrical & Computer Engineering Department Ann Arbor48109 United States

ISBN: (纸本)9798350358971

An analytical method is proposed to synthesize the flat-topped beam (FTB) with arbitrary beam directions for uniform linear arrays (ULAs). Following the analogy between the far-field pattern of ULAs and the spectrum function of finite impulse response (FIR) filters, the window method can be applied to synthesize both the broadside and end-fire FTBs, but failing in the synthesis of oblique FTB due to the undesired grating lobes. Thus, the Hilbert transform is introduced to suppress the grating lobe during the synthesis of oblique FTBs, and it can also further expand to a generalized method to design FTBs with arbitrary directions. The proposed approach is promising for offering efficient beamforming functionalities for wireless communications, imaging, and radar applications. © 2023 IEEE.

关键词： antenna array beam synthesizing flat-topped beam uniform linear array

来源：评论

学校读者我要写书评

暂无评论

Optimal Placement of Solar Power Plant by Using MOTHFLAME Algorithm

Optimal Placement of Solar Power Plant by Using MOTHFLAME Al...

引用

2025 International Conference on Visual Analytics and Data Visualization, ICVADV 2025

作者： Karthikeyan, K. George Klington, A. St. Mother Theresa Engineering College Department of Electrical and Electronics Engineering Tuticorin India St. Mother Theresa Engineering College Department of Computer Science Engineering Tuticorin India

ISBN: (纸本)9798331521394

This study recommends the best location for a solar power plant in an IEEE 69-bus system to maintain voltage stability. PV recitation learning is done in an IEEE 69-bus test system using MATPOWER to develop voltage stability. A power device's balance is impacted when it experiences unexpected loading. To increase the stability from the diseases, compensation is required. In this case, the machine is examined utilizing CPF to improve stability. The overall performance of the suggested system is assessed using a variety of operating conditions, including those with and without PV, with a PV system utilising PSO, and with PV placement (using the Mothflame method). The findings indicate that a device with PV (adjusted with Mothflame's assistance) performs better than a device without PV and a device with a PV system installed by PSO. © 2025 IEEE.

关键词： Electric power system stability

来源：评论

学校读者我要写书评

暂无评论

Blockchain-Based Internet of Things: Machine Learning Suspicious Object Traceability System 8th

Blockchain-Based Internet of Things: Machine Learning Suspic...

引用

8th International Conference on Microelectronics Electromagnetics and Telecommunications, ICMEET 2023

作者： Ramesh, Janjhyam Venkata Naga Veeraiah, Vivek Shrivastava, Gitanjali Jain, Vipin Jain, Sanjiv Kumar Gupta, Ankur Department of CSE Graphic Era Hill University Uttarakhand Dehradun India Department of Computer Science Sri Siddhartha Academy of Higher Education Karnataka Tumkur India Department of Law Symbiosis Law School Pune India Teerthanker Mahaveer University Uttar Pradesh Moradabad India Department of Electrical Engineering Medi-Caps University Madhya Pradesh Indore India Department of Computer Science and Engineering Vaish College of Engineering Haryana Rohtak India

ISBN: (纸本)9789819784219

Blockchain, Machine Learning, and the Internet of Things are three of the areas where research is currently being undertaken. Suspicious object detection techniques are discussed as well. Researchers have resorted to machine learning to develop a highly trained network that can identify situations that are analogous. Before the machine learning approach is used to analyze the image and find the pattern, each frame is gathered and the data is preprocessed to reduce the size of the picture. Here, we use the pertained set to keep tabs on a live activity. The study article included previous studies that focused on the same problem. We have spent a lot of time discussing the issues with the earlier research. We also investigate the many recommended therapies and methods of solving the problem. In order to narrow down the search for a malicious IoT component, our research used deep learning and image processing. The simulation findings reveal that PSNR, MSE, and SSIM values change depending on the noise-reduction technique used. The Gaussian filter yields the highest PSNR, whereas the bilateral filter yields the lowest. While the Gaussian filter has the lowest MSE, the blur filter has the highest. A Gaussian filter is used to increase the output of an SSIM simulation, whereas a blur filter is used to limit it. After detection of suspicious activity records are managed in blockchain for integrity management. The present research is capable of finding suspicious objects from running traffic and storing traceability by making integration of blockchain. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Learning-augmented Online Minimization of Age of Information and Transmission Costs

引用

IEEE Transactions on Network science and engineering 2025年

作者： Liu, Zhongdong Zhang, Keyuan Li, Bin Sun, Yin Hou, Y. Thomas Ji, Bo Virginia Tech Department of Computer Science BlacksburgVA United States Pennsylvania State University Department of Electrical Engineering University ParkPA United States Auburn University Department of Electrical and Computer Engineering AuburnAL United States Virginia Tech Bradley Department of Electrical and Computer Engineering BlacksburgVA United States

We consider a discrete-time system where a resource-constrained source (e.g., a small sensor) transmits its time-sensitive data to a destination over a time-varying wireless channel. Each transmission incurs a fixed transmission cost (e.g., energy cost), and no transmission results in a staleness cost represented by the Age-of-Information. The source must balance the tradeoff between transmission and staleness costs. To address this challenge, we develop a robust online algorithm to minimize the sum of transmission and staleness costs, ensuring a worst-case performance guarantee. While online algorithms are robust, they are usually overly conservative and may have a poor average performance in typical scenarios. In contrast, by leveraging historical data and prediction models, machine learning (ML) algorithms perform well in average cases. However, they typically lack worst-case performance guarantees. To achieve the best of both worlds, we design a learning-augmented online algorithm that exhibits two desired properties: (i) consistency: closely approximating the optimal offline algorithm when the ML prediction is accurate and trusted;(ii) robustness: ensuring worst-case performance guarantee even ML predictions are inaccurate. Finally, we perform extensive simulations to show that our online algorithm performs well empirically and that our learning-augmented algorithm achieves both consistency and robustness. © 2013 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Estimation Of Air Quality Index In Delhi By Merging Neural Networks And Multiple Regression Techniques with Principal Components Analysis

Estimation Of Air Quality Index In Delhi By Merging Neural N...

引用

2023 Winter Summit on Smart Computing and Networks, WiSSCoN 2023

作者： Kulkarni, Shriniketan Bali, Harneet Singh Krishna, Rajashree Manipal Institute of Technology Mahe Electrical and Electronics Engineering Department Udupi India Manipal Institute of Technology Mahe Electrical and Electronics Engineering Department Udaipur India Manipal Institute of Technology Mahe Computer Science Engineering Department Udupi India

ISBN: (纸本)9798350334050

A major focus of air quality research in recent years has been the AQI measurement as a way to gauge the harm pollution does to people's health and well-being in cities. Air Quality Index (AQI) accuracy is the primary goal of this research, which uses PCA and Artificial Neural Network (ANN) approaches. Our investigators are looking into the city of Delhi. To forecast the air quality index, The main components score (PCS) of 11 historical air quality and meteorological data is used in an ANN model (AQI). Delhi is the subject of this investigation. In order to make accurate forecasts of the air quality index, ANN models make use of the main components score (PCS) of 11 meteorological and historical air quality indicators (AQI). A comparison is made between ANN and MLR models, which are commonly used to estimate the AQI. Other than PCA, you may also reduce the eleven parameters to just eight PCs. PC-ANN (PC-ANN) models use the eight PCs as input data. The R2, RMSE, MAPE, and MAE values were used to make comparisons between the various models and hypotheses. The PC-ANN model outperforms all others when considering the complexities of air pollution. As a result, the PC-ANN approach may be utilized to make better decisions and address atmospheric management challenges. © 2023 IEEE.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

INTERPRETABLE AUTOMATED LEARNING: EVOLVING FUZZY NETWORKS TO EXPLICIT APPLICATIONS OF AI

INTERPRETABLE AUTOMATED LEARNING: EVOLVING FUZZY NETWORKS TO...

引用

2024 International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI, ICSCAI 2024

作者： Rathi, Vikas Vijayalakshmi, V.J. Mahesh, Bhandari Ninoria, Shalini Gupta, Ankur Kumar Premananthan, G. Department of Computer Science & Engineering Graphic Era Deemed to be University Uttarakhand Dehradun248002 India Department of Electrical And Electronics Engineering Karpagam Academy of Higher Education Coimbatore641021 India Vishwakarma Institute of Information Technology Pune India CCSIT TMU India School of Computer Science and Applications IIMT University Meerut India Department of Electronics and Communication Engineering Karpagam College of Engineering Coimbatore6410 India

ISBN: (纸本)9798350355338

One of the biggest developments in intelligent machines has been the development of evolving fuzzification. They are flexible system designs created using evolving methods. Fluid simulation now has excellent capabilities to use in a variety of data scientific situations as a result of this combination. The goal with this addition is to create a policy document that provides a thorough study of the evolving hazy ecosystems field of study. In order to comprehend the present setting of this subject and its importance, queries are asked and answered with some of this goal in mind. It will be made clear why evolving neural nets are significant from an explicable perspective, even before they started, how much they are utilized for, and where scholars should devote themselves in this field going forward. People must really be crucial to the developing field of data-driven schooling. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Towards Automatic Retinal Blood Vessels Segmentation in Retinal Images

Towards Automatic Retinal Blood Vessels Segmentation in Reti...

引用

2022 International Conference on Frontiers of Information Technology, FIT 2022

作者： Khurshid, Noshaba Syed, Muhammad Ibrahim Khan, Khurram Mahmood, Zahid Comsats University Islamabad Department of Electrical and Computer Engineering Abbottabad Pakistan Gik Institute of Engineering Sciences and Technology Faculty of Computer Science and Engineering Topi Pakistan

ISBN: (纸本)9798350345933

Nowadays, segmenting objects is desired to timely diagnose various diseases. This task is challenging as blood vessels share the same color and intensity information in retinal image area. Therefore, an accurate vessel segmentation method is required. This study presents an automated vessels segmentation algorithm. Our method initially extracts the Green channel on which the CLAHE and Gabor filter is applied. Final segmentation is achieved using Otsu's thresholding. Meanwhile, to reduce noise from tiny vessels, median filter, Top-hat transform and other morphological operations, such as spur operation is applied in post-processing stage. The proposed algorithm yields superior accuracy results on DRIVE and STARE than several methods and consumes nearly 1 second to produce the segmented output image. © 2022 IEEE.

关键词： Gabor filters

来源：评论

学校读者我要写书评

暂无评论

Manhattan Rule for Robust In-Situ Training of Memristive Deep Neural Network Accelerators

Manhattan Rule for Robust In-Situ Training of Memristive Dee...

引用

Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Ellina Zhang Jack Cai Amirali Amirsoleimani Mostafa Rahimi Azghadi Roman Genov Majid Ahmadi Department of Electrical and Computer Engineering University of Toronto Toronto ON Canada Department of Electrical Engineering and Computer Science York University Toronto ON Canada College of Science and Engineering James Cook University Townsville Australia Department of Electrical and Computer Engineering University of Windsor Windsor ON Canada

ISBN: (数字)9798350387179

ISBN: (纸本)9798350387186

In this work, we propose an alternative training approach for memristive circuits - the Manhattan rule training - which utilizes only sign information for weight updates. We present an in-depth analysis in both in-situ and ex-situ settings and show that not only does our method simplify circuit design but it also improves neural network robustness against device non-idealities. Using the MemTorch and our custom in-situ training framework, we implemented the Manhattan rule for MNIST classification and ECG signal detection tasks and achieved close to state-of-the-art performance under noise. Our work also provides a thorough comparison of Manhattan and conventional training methods under the effects of various device non-idealities, giving a crucial benchmark useful for the design of biomedical neural circuits.

关键词： Training Performance evaluation Surveys Accuracy Noise Neural circuits Electrocardiography

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：