检索结果-内蒙古大学图书馆

Retinal Blood Vessel Tracking and Diameter Estimation via Gaussian Process With Rider Optimization Algorithm

IEEE Journal of Biomedical and Health Informatics 2024年第3期28卷 1173-1184页

作者： Ahmad, Nehal Lai, Kuan-Ting Tanveer, M. Indian Institute of Technology Indore Simrol Department of Mathematics Indore453552 India National Taipei University of Technology Department of International Program of Electrical Engineering and Computer Science Taipei106 Taiwan National Taipei University of Technology Department of Electronic Engineering Taipei106 Taiwan

Retinal blood vessels structure analysis is an important step in the detection of ocular diseases such as diabetic retinopathy and retinopathy of prematurity. Accurate tracking and estimation of retinal blood vessels in terms of their diameter remains a major challenge in retinal structure analysis. In this research, we develop a rider-based Gaussian approach for accurate tracking and diameter estimation of retinal blood vessels. The diameter and curvature of the blood vessel are assumed as the Gaussian processes. The features are determined for training the Gaussian process using Radon transform. The kernel hyperparameter of Gaussian processes is optimized using Rider Optimization Algorithm for evaluating the direction of the vessel. Multiple Gaussian processes are used for detecting the bifurcations and the difference in the prediction direction is quantified. The performance of the proposed Rider-based Gaussian process is evaluated with mean and standard deviation. Our method achieved high performance with the standard deviation of 0.2499 and mean average of 0.0147, which outperformed the state-of-the-art method by 6.32%. Although the proposed model outperformed the state-of-the-art method in normal blood vessels, in future research, one can include tortuous blood vessels of different retinopathy patients, which would be more challenging due to large angle variations. We used Rider-based Gaussian process for tracking blood vessels to obtain the diameter of retinal blood vessels, and the method performed well on the 'STrutred Analysis of the REtina (STARE) Database' accessed on Oct. 2020 (https://***/~ahoover/stare/). To the best of our knowledge, this experiment is one of the most recent analysis using this type of algorithm. © 2013 IEEE.

关键词： Blood vessels

来源：评论

学校读者我要写书评

暂无评论

An Improved High Gain Continuous Input Current Quadratic Boost Converter for Next-Generation Sustainable Energy Application

引用

IEEE Transactions on Circuits and Systems II: Express Briefs 2024年第5期71卷 2839-2843页

作者： Liu, Hwa-Dong Jana, Anindya Sundar Lin, Chang-Hua National Taiwan Normal University Undergraduate Program of Vehicle and Energy Engineering Taipei106 Taiwan University of Notre Dame Department of Electrical Engineering South BendIN46556 United States National Taiwan University of Science and Technology Department of Electrical Engineering Taipei106 Taiwan

With the rapid transformation from fossil fuel-based energy systems to renewable-based energy systems the application of a high gain boost DC-DC converter is becoming the main attraction due to its wide range of numerous applications. This specific study presents an improved high gain non isolated quadratic boost DC-DC converter (QBC) with voltage gain three times of the quadratic boost converter. The proposed non-isolated category topology is the modified version of the quadratic boost converter where the 2nd inductor of the QBC is replaced by a voltage multiplier cell (VMC) and a switch capacitor network is integrated with the VMC to increase the voltage gain as well as to reduce the switch's voltage stress. Moreover, the continuous input current and common ground feature of this proposed circuit configuration have shaped its potential application by making it advantageous over other non-isolated based high gain boost converters. To support its feasibility a rated power of 150 W prototype is developed after validating the results by Plecs software. The voltage gain offered by this proposed circuit configuration is justified by experimental results and the software simulation. A comprehensive analysis and components design is also formulated and documented in this brief. © 2004-2012 IEEE.

关键词： Boost converter

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of Deep Learning Methods for Automated Diagnosis of Pulmonary Diseases from Chest X-Ray Images: A Study Based on ICD-10 2

Comparative Analysis of Deep Learning Methods for Automated ...

引用

2nd International Conference on Data, Information and Computing Science, CDICS 2024

作者： Wijayakusuma, I.G.N. Lanang Sudarma, Made Putra, I. Ketut Gede Darma Sudana, Oka Engineering Study Program Universitas Udayana Bukit Jimbaran Indonesia Electrical Engineering Study Program Universitas Indonesia Bukit Jimbaran Indonesia Information Technology Study Program Universitas Udayana Bukit Jimbaran Indonesia

ISBN: (纸本)9781643685762

This research delves into the comparative assessment of diverse deep learning architectures for the automated identification of pulmonary diseases in chest X-ray images, aligning with the diagnostic framework of the International Classification of Deseases, 10th Revision (ICD-10). The evaluated architectures encompass Convolutional Neural Network (CNN), MobileNetV2, DenseNet, VGG16, and InceptionV3. Through an extensive investigation conducted on a comprehensive dataset comprising 108,948 chest X-ray images, we scrutinize the performance metrics and diagnostic accuracy of each architecture. Notably, our findings reveal MobileNetV2 as the frontrunner, exhibiting an outstanding accuracy rate of 97% for Emphysema disease. This remarkable accuracy underscores the robustness and efficiency of MobileNetV2, even amidst large-scale diasets, positioning it as a promising solution for the automated detection of pulmonary ailments from medical imaging. Additionally, we analyze the computational efficiency and resource requirements of each architecture, providing insights into their practical applicability in real-world clinical settings. The implications of our study extend beyond technical benchmarks, offering valuable insights for healthcare practitioners, researchers, and developers working towards enhancing diagnostic processes in pulmonary healthcare. By elucidating the comparative strengths and limitations of various deep learning architectures, this research contributes to the advancement of computer-aided diagnosis systems, paving the way for more accurate and efficient detection of lung diseases from chest X-ray imaging data. © 2025 The Authors.

关键词： Lung cancer

来源：评论

学校读者我要写书评

暂无评论

Trade Ease with Machine Learning and AWS

引用

IEEE Access 2023年 11卷 25893-25905页

作者： Teja, Kamurthi Ravi Liu, Chuan-Ming National Taipei University of Technology International Program of Electrical Engineering and Computer Science Taipei10608 Taiwan National Taipei University of Technology Department of Computer Science and Information Engineering Taipei10608 Taiwan

Global trading is undergoing significant changes, necessitating modifications to the trading strategies. This study presents a newly developed cloud-based trading strategy that uses Amazon Web Services (AWS), machine learning (ML), and data science to automate trading tasks. The study begins by creating a machine learning trading strategy using a customized deep neural network (DNN). The strategy was then tested using a trading station before deployment on a cloud machine. The execution of the strategy resulted in a total profit of 42.74526 USD, with a test accuracy score of 87.45% and a training accuracy score of 89.15% over 6047 epochs. The roadmap provides a step-by-step overview of the entire process from strategy development to execution. In addition, this study offers insights into related issues and solutions that can enhance the effectiveness of trading strategies. Overall, this study contributes significantly to the field of cloud-based trading strategies and opens avenues for future research. © 2013 IEEE.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Simulation of Orientation Navigation Based on IMU Sensor for Quadrotor Using Kalman Filter

Simulation of Orientation Navigation Based on IMU Sensor for...

引用

2023 International Conference on electrical and Information technology, IEIT 2023

作者： Lasmadi Kurniawan, Freddy Dermawan, Denny Purnami, Ndaru Atmi Alriavindra Funny, Rindu Adisutjipto Institute of Aerospace Technology Undergraduate Program in Electrical Engineering Yogyakarta Indonesia

ISBN: (纸本)9798350327298

The inertial navigation system (INS) calculates the position, attitude orientation, and speed of the quadrotor relative to its initial or last known state. This paper aims to validate the modeling of low-cost Inertial Measurement Unit (IMU) sensor-based orientation navigation systems using Kalman filters through simulations in Matlab. From the IMU, a gyroscope sensor is used to obtain the orientation angle of the quadrotor motion. Experiments were carried out for each rotation of roll, pitch, and yaw on the x, y, and z axes. The estimation results for each movement will be compared with the orientation data calculated by the smartphone as a reference. This research also describes the system dynamics approach and state-space formulation in system model design. Meanwhile, a Kalman filter is applied to process the measurement data for better results. Simulations and the results verify that the Kalman filter works well enough to estimate the orientation with an accuracy of above 98%. © 2023 IEEE.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

Modeling Small Signal Analysis Using Kharitonov's Theorem Case: Inverter Based Microgrid 4

Modeling Small Signal Analysis Using Kharitonov's Theorem Ca...

引用

4th International Conference on High Voltage engineering and Power Systems, ICHVEPS 2023

作者： Jason Banjar-Nahor, Kevin M. Hariyanto, Nanang Bandung Institute of Technology Electrical Power Engineering Study Program Bandung Indonesia

ISBN: (纸本)9798350318678

Microgrid systems are becoming more popular and the main component in a microgrid system is generation, which in a microgrid system usually consists of distributed generations (DGs). Because the renewable energy (RE) generators are an inverter-based generator, a microgrid dominated by RE generators is called inverter-based microgrid. Due to intermittency of RE generator, such as solar PV, the RE power generation variation may cause instability. The conventional method to analyze system stability due to the variation of loads and generation is modal analysis. In this experiment the proposed method for analyzing small signal stability is by using Kharitonov's Theorem. The objective of this experiment is to analyze inverter-based stability using Kharitonov's Theorem and compare it to the result using conventional analysis method which is modal analysis. Using Kharitonov's Theorem, the system stability can be determined for several operation scenarios within certain time range. In this experiment, the inverter-based microgrid will be modeled using DIgSILENT PowerFactory and the system matrices will be exported into MATLAB software to be analyzed and converted to four transfer functions using Kharitonov's Theorem. The four output transfer function will determined the system small signal stability of modeled microgrid in one day operation. © 2023 IEEE.

关键词： Modal analysis

来源：评论

学校读者我要写书评

暂无评论

Enhancing Aerospace engineering Students' Speaking Ability through Instagram Vlog

Enhancing Aerospace Engineering Students' Speaking Ability t...

引用

2023 International Conference on electrical and Information technology, IEIT 2023

作者： Deny Kusumaningrum, Maria Asumpta Alriavindra Funny, Rindu Irawaty, Mardiana Adisutjipto Institute of Aerospace Technology Electrical Engineering Study Program Yogyakarta Indonesia

ISBN: (纸本)9798350327298

This study aimed to determine whether or not the Instagram Vlog improved speaking skills. The study of the study is to determine how the Instagram vlog project aids students in improving their speaking skills and how students' perceptions of the project improve their speaking ability. This study had 49 students participating. The interview was demonstrated to determine the students' perceptions of Instagram Vlog usage in English class. While the pre-test and post-test were given to find out how Instagram Vlog affected the students' performance. The interviews were used to find out how the students feel, and they believe that Instagram Vlog improves their ability to speak English. In contrast, the students' improvement following the Instagram Vlog implementation indicated that the Instagram Vlog's performance in the Bahasa Inggris I subject contributed to their improved speaking ability. The findings of this study should be considered by educational institutions that prepare students for future employment. © 2023 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Retrieval Functionality for Robot to Assist Mobility Challenged Individuals 14

Retrieval Functionality for Robot to Assist Mobility Challen...

引用

14th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2023

作者： Khoury, Jesse H. Wang, Dylan Long, William Dow, Douglas E. Wentworth Institute of Technology Program in Electrical Engineering BostonMA United States

ISBN: (纸本)9798350304138

Old age leads to declines in mobility. A robotic system could assist in retrieving objects. The purpose of our project was to develop prototype modules for core functions of retrieval, including identification of a target object, locomotion toward the object, obstacle avoidance, approach to the object for the gripper, grasp and lift the object, and carry the object. A scaled down prototype was developed and tested on a wheeled platform. Image processing was used to identify and align the gripper with the object, LiDAR was used to avoid obstacles, a proximity sensor was used for the final approach to the object, microcontroller driven servo motors rotated the wheels and actuated the gripper to grasp and lift the object. The prototype showed promise, being able to identify and grasp objects on the floor, such as a cell phone, scissors, or a computer mouse. © 2023 IEEE.

关键词： Grippers

来源：评论

学校读者我要写书评

暂无评论

Leveraging Heart Rate Variability and Machine Learning for Daily Activity Classification in Healthy Adult Males 18

Leveraging Heart Rate Variability and Machine Learning for D...

引用

18th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2024

作者： Ikawati, Vidya Yusuf, Rahadian Prihatmanto, Ary Setijadi Sudrajat, Tatang Saepudin, Didin Surjono, Welly Doctoral Program of School of Electrical and Information Engineering Institute of Technology Bandung Bandung Indonesia Institute of Technology Bandung Departement of Electrical and Information Engineering Bandung Indonesia Universitas Sangga Buana Bandung Indonesia

ISBN: (纸本)9798331527686

Advancements in machine learning techniques for analyzing heart rate variability (HRV) show great potential in accurately measuring various activities in the field of health monitoring. This work examines the feasibility of using non-invasive HRV data gathered during everyday activities to train machine learning models for accurate activity classification. In the field of personalization, the study focuses on the difficulty of adapting to individual differences in baseline HRV. It also acknowledges that HRV is influenced by stress, physical activity, and external influences, and that it is a dynamic measure. The experimental methodology consists of a pilot study using a retrospective observational cohort approach. It utilizes a waistband device to continuously record heart rate variability (HRV) during different daily activities. The study utilizes a thorough methodology that includes statistical data description, correlation analysis, variance analysis, outlier detection, and identification of cycle periods using power spectral density. The performance of various machine learning models, such as Random Forest, Naïve Bayes, Decision Tree, and Logistic Regression, was evaluated for activity classification. The Decision Tree model exhibited superior performance. The work provides useful insights into the potential of machine learning for HRV-based activity monitoring, highlighting the importance of collecting reliable data and developing tailored models to improve accuracy and practicality. © 2024 IEEE.

关键词： Heart

来源：评论

学校读者我要写书评

暂无评论

Design and Development of Electric Motor Torque Meter Using Microcontroller 5

Design and Development of Electric Motor Torque Meter Using ...

引用

5th Research, Invention, and Innovation Congress: Innovative electricals and Electronics, RI2C 2024

作者： Meesuk, Peerawat Nak-Udom, Natthaphong Phimyotha, Kittiphong Bansomdejchaopraya Rajabhat University Program of Electrical Engineering and Automation Control System Faculty of Engineering and Industrial Technology Bangkok10600 Thailand Bansomdejchaopraya Rajabhat University Program of Electromechanic Manufacturing Engineering Faculty of Engineering and Industrial Technology Bangkok10600 Thailand

ISBN: (纸本)9798331505998

This article presents the development of electric motor torque meter using microcontroller together with dynamometer process and application of light process to find out revolutions per minute (RPM) which torque is a variable that affects the effectiveness of electrical machine. A torque meter is, therefore, a tool that has an important role to work with mechanical part. The torque meter and RPM was tested and found that there is an error of torque measure at 13.74 percent and found that the torque has higher errors when it exceeds 2 N-m and there is an error of RPM at 5.36 percent. © 2024 IEEE.

关键词： Torque meters

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：