检索结果-内蒙古大学图书馆

Advances in 3D fusion of multimodal medical images: 3D reconstruction of bone, muscle, and ligament structures under load from radiographs and magnetic resonance imaging

引用

Research on Biomedical engineering 2025年第1期41卷 1-35页

作者： da Silva, Daniel S. Astolfi, Rodrigo S. Jagatheesaperumal, Senthil K. Selvaraj, Priyadharsini Russel, Newlin Shebiah de Albuquerque, Victor Hugo C. Post-Graduation Program of Medical Surgical Sciences Federal University of Ceara CE Fortaleza60455-970 Brazil Department of Teleinformatics Engineering Federal University of Ceara CE Fortaleza60455-970 Brazil Department of Electronics and Communication Engineering Mepco Schlenk Engineering College TN Sivakasi626005 India Department of Computer Science and Engineering Mepco Schlenk Engineering College TN Sivakasi626005 India

Purpose: Foot and ankle pathologies are among the most prevalent conditions within the human locomotor system. Imaging examinations are crucial for diagnosing, treating, and achieving satisfactory functional outcomes for these conditions. However, conventional imaging exams often fail to capture all the necessary details for precise analysis, necessitating the use of multiple imaging modalities to evaluate bones, ligaments, cartilage, and other structures. Objective: This research aims to explore computational technologies and algorithms for 3D reconstruction and fusion of foot and ankle images, alongside the analysis, segmentation, classification, and evaluation techniques applied to these images. Methods: The study investigates different computational approaches for 3D reconstruction and multimodal image fusion, integrating X-ray and MRI data. Advanced segmentation and classification techniques are applied to enhance the precision of structural assessment. Additionally, we assess the availability and quality of databases for training and validating these models. Results: Our findings highlight a significant gap in research concerning these specific applications, as well as a shortage of suitable databases for 3D reconstruction and fusion of images from X-rays and MRI. Conclusion: The study emphasizes the need for dedicated datasets and further research to develop effective computational solutions for multimodal foot and ankle imaging. © The Author(s), under exclusive licence to The Brazilian Society of Biomedical engineering 2025.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Performance Evaluation of Multi-ONU Customers Access Network using Spectrum Slicing and Duplication Techniques 5

Performance Evaluation of Multi-ONU Customers Access Network...

引用

5th International Conference on Emerging Electrical Energy, electronics and Computing Technologies, ICE4CT 2024

作者： Rahman, Juwairiyyah Abdul Mugunthan, Sivaguru A.L. Hassan, Hasliza Abu Muslim, Norliana Ab-Rahman, Mohammad Syuhaimi Department of Electrical Engineering Faculty of Engineering and Life Sciences Universiti Selangor Selangor Bestari Jaya45600 Malaysia Department of Computer and Communication Technology Faculty of Information and Communication Technology Universiti Tunku Abdul Rahman Perak Kampar31900 Malaysia Department of Electrical Electronics and Systems Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Malaysia Electrical and Computer Engineering Program Faculty of Engineering Sohar University PC:311 Sohar Oman

This study aims to increase the number of access users by limiting the sample size to 30 users while ensuring that every Optical Network Unit (ONU) receives data from the Optical Line Terminal (OLT). The proposed solution allows for the determination of power requirements at each ONU based on bus-star topologies, facilitating an increase in user capacity. The power received by each ONU is a critical parameter that system designers must consider when planning the implementation of Fiber to the Home (FTTH), as it impacts the output data in terms of Bit Error Rate (BER) and Signal Quality Factor (QF) for each user. Various parameters were evaluated to ensure that the enhanced network improves scalability while adhering to standard specifications. These parameters included the Q-factor, BER, eye diagram, user count, and received power. The study employed slicing and duplication techniques, utilizing Arrayed Waveguide Grating (AWG) for signal duplication and Wavelength Division Multiplexing for signal slicing. The simulations were conducted using a transmitter operating at a frequency of 1491 nm with a power output of 0 dBm, utilizing the latest version of OptiSystem 20 software. The results highlighted the system's capability to support a total of 73,728 users, meeting stringent performance criteria. Specifically, the system achieved a Q-factor greater than 6, indicating high signal quality, and a bit error rate (BER) lower than 1 × 10-9, ensuring reliable data transmission. For the sampled 30 users, the average Q factor was 8.1527, and the average BER was 5.3648 × 10^-11, with an output power level of -54.278 dBm. Despite an increase in users, the quality of the data supplied to clients remained unchanged. These outcomes underscore the robustness and efficiency of the design in delivering high-capacity, error-resilient optical communication. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Q factor measurement

来源：评论

学校读者我要写书评

暂无评论

A Performance Study of Selected Machine Learning Techniques for Predicting Heart Diseases 2nd

A Performance Study of Selected Machine Learning Techniques ...

引用

2nd International Conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications, SITAIBA 2023

作者： Olorunfemi, Blessing Oluwatobi Ogunde, Adewale Opeoluwa Adeniyi, Abidemi Emmanuel Awotunde, Joseph Bamidele Imoize, Agbotiname Lucky Li, Chun-Ta Faculty of Natural Sciences Department of Computer Science Redeemer’s University Osun Nigeria Department of Computer Science Bowen University Iwo Nigeria Faculty of Information and Communication Sciences Department of Computer Science University of Ilorin Ilorin240003 Nigeria Faculty of Engineering Department of Electrical and Electronics Engineering University of Lagos Lagos Akoka100213 Nigeria Bachelor’s Program of Artificial Intelligence and Information Security Fu Jen Catholic University New Taipei City24206 Taiwan

ISBN: (纸本)9789819777853

Heart Disease remains a leading cause of mortality worldwide. It alarmingly rises at a quick rate, making early heart disease prediction crucial for effective prevention and timely intervention. Heart disease diagnosis is a difficult process that requires technical skills and accuracy to complete. With improvements in technology, computing has lent its voice to simplify the diagnosis of various health problems. Machine learning uses past or existing history to predict future results. Various machine learning techniques have been developed over the years and used in predicting heart diseases with various levels of performance. Identifying the best-suited machine learning technique to use for prediction purposes can be a challenging task. This research work analyses the performance of seven (7) machine learning techniques, comprising AdaBoost Algorithm, KNN, Logistic Regression, Naïve Bayes Classifier, Random Forest, SVM, and XGBoost. The heart disease dataset was downloaded from the UCI repository and analysed using Python programming language in the Jupyter Notebook environment. A comparative analysis of the seven (7) techniques was performed based on Accuracy, Precision, and Recall. From the results obtained, KNN, Random Forest, and XGBoost showed superior performance over the others with an accuracy of 100%, AdaBoost Algorithm followed with an accuracy of 92.2%, SVM followed with an accuracy of 91.71%, Naïve Bayes Classifier followed with an accuracy of 88.29% while Logistic Regression has the least accuracy of 86.34%. KNN, RF, and XGBoost outperformed AdaBoost, SVN, and LR. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Humanoid robot teleoperation system using a fast vision-based pose estimation and refinement method

引用

IEIE Transactions on Smart Processing and Computing 2021年第1期10卷 24-30页

作者： Sa, Jae-Min Choi, Kang-Sun Interdisciplinary Program on Creative Engineering KOREATECH Cheonan-si31253 Korea Republic of Department of Electrical Electronics and Communication Engineering KOREATECH Cheonan-si31253 Korea Republic of

Humanoid robot teleoperation is a complex task that requires sophisticated hardware and software interfaces. Three-dimensional human pose estimation can be effectively applied to the teleoperation of humanoid robots thanks to its intuitive and easy usability. However, when the human pose is wrongly inferred, it can cause critical and dangerous situations for robot operation. In this paper, a reliable humanoid robot teleoperation system is proposed, which involves the operation of a humanoid robot in an isolated location. The status of the humanoid robot is monitored and communicated to the operator in real time. This improves the telepresence of scenes compared to other methods. On the operator's side, data are retrieved from the humanoid robots and manipulated to control the robot by estimating the operator's pose visually. To reduce the risk of inaccurate pose estimation, pose candidates obtained from different points of view are fused while removing irrelevant poses. Then, a simple yet effective cascade filter that generates smooth motion changes is used for stable and flexible robot manipulation. Experiments confirmed that the proposed system can functions efficiently in real time and generates more accurate motion compared to conventional systems. © 2021 The Institute of electronics and Information Engineers

关键词： Anthropomorphic robots

来源：评论

学校读者我要写书评

暂无评论

Edge Computing Based Autonomous Robot for Secured Industrial IoT

Edge Computing Based Autonomous Robot for Secured Industrial...

引用

2022 IEEE International Conference on Data Science and Information System, ICDSIS 2022

作者： Palani, U. Sadhana, R. Vasanthi, D. Mahesh, Sure Sai Ifet College of Engineering Department of Electronics and Communication Engineering Villupuram India Program Analyst Cognizant India

ISBN: (数字)9781665498012

ISBN: (纸本)9781665498012

Industry sector contributes twenty-five percentage for Indian Gross Domestic Product (GDP). The industrial business loses 120 billion dollars per year as a result on the average of four accidents per week caused by fallen product components. This problem can be addressed by introducing a self-configurable, automated system based on Industrial IoT (IIoT) that can assist the units in the manufacturing business. This can be achieved by using edge computing to find the path and also to catch the product before it falls, this reduces the damages of product components in an efficient way. The Edge Computing server is exercised to store and process the data regarding movement of autonomous robot. As edge is quick and intelligent, it helps us to prevent accidents and incidents in industry and it will in-turn increases the production rate of the industry. The design and study of a six-degree-of-freedom manipulator is the focus of this research. In SolidWorks, we created a robot and studied its motion, load capacity, and path traceability. The forward and inverse kinematics of a robot, on the other hand, are used in its design and analysis. D-H parameters were used to model both forward and reverse kinematics. In an unstructured environment, the suggested paradigm allows the manipulator to be controlled to any position and orientation. For a single end effector location, inverse kinematics gave a large number of angles to choose from. The forward and inverse kinematics of the robot were studied using a GUI designed in MATLAB. © 2022 IEEE.

关键词： Edge computing

来源：评论

学校读者我要写书评

暂无评论

Detection of safety wearable's of the industry workers using deep neural network

引用

Materials Today: Proceedings 2023年 80卷 3064-3068页

作者： Balaji, T.S. Srinivasan, S. Research Scholar Department of Electronics and Communication Engineering Saveetha School of Engineering SIMATS Tamil Nadu Chennai India Professor and Program Director Department of Biomedical Engineering Saveetha School of Engineering SIMATS Tamil Nadu Chennai India

Accidents can occur in work place or in place where people are gathering. Many such accidents are preventable. These types of accidents may occur due to carelessness or improper safety wears. These disasters could clearly be maintained a strategic distance from, or its viable force could be decreased with appropriate well-being wear. The fundamental target of this undertaking is to build up a fair-minded computerized framework that checks and investigates the well-being wear of representatives before allowing them to the work region or shop-floor. Along these lines, this framework will mean to forestall mishaps because of inappropriate security wear and the information gathered is utilized for further investigation. Consequently, this system will expect to thwart disasters on account of less than ideal security wear and the data accumulated is used for further investigation. These incidents could clearly be stayed away from, or its viable force could be decreased with appropriate well-being wear. © 2021

关键词： Accident prevention

来源：评论

学校读者我要写书评

暂无评论

Comparative study of different controllers in an autonomous vehicle system

引用

Materials Today: Proceedings 2023年 80卷 2390-2393页

In recent days the entire world moving towards autonomous driving vehicle. For the last decades, the world started more research on Autonomous or Auto-pilot vehicle. It faces lot of challenges to design such a system. In recent, Google and tesla designs an autonomous vehicle in the name of waymo. The main aim of this research work is to provide healthy transportation with high safety and security. This waymo vehicle is now under testing with conditional and unconditional environment. In this paper it is focused on a controller part to take care of the vehicle in critical and non-critical environmental situation. In this perception, this research gives the overview of the various controllers with its merits and demerits. The controller is to imitate like a human driver. Normally the human eye focus on mobile and immobile objects, road sign, pedestrian etc., the controller need to focus the road condition, optimal steering control with less tracking error and cruise control. © 2021

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Suppressing Ambipolar Conduction in Silicon DGTFET: Comparing Gate-to-Drain Overlapping/ Underlapping Structure

Suppressing Ambipolar Conduction in Silicon DGTFET: Comparin...

引用

2021 International Telecommunications Conference, ITC-Egypt 2021

作者： Elgamal, Muhammad Eliwy, Mahmoud Shaker, Ahmed Fedawy, Mostafa Zewail City of Science and Technology Communication and Information Engineering Program Giza Egypt Arab Academy for Science Technology and Maritime Transport Department of Electronics and Communication Cairo Egypt Ain Shams University Faculty of Engineering Department of Electronics and Communication Cairo Egypt

ISBN: (纸本)9781665445733

Silicon double gate tunneling field effect transistors, DGTFETs are suitable candidates for integration with current CMOS technology. Although their high ON/OFF current ratio and low subthreshold swing, they suffer from unwanted ambipolar conduction. In this work, a comparison of three TFET device structures is reported utilizing a TCAD simulator to determine the most suitable candidate that gives minimum ambipolarity and maximum cut off frequency. Insertion of low-k spacer above the drain region, using asymmetric gate electrode and using gate underlap with a lowk spacer below are compared in above terms. The merits of each design are shown and explained © 2021 IEEE.

关键词： Cutoff frequency

来源：评论

学校读者我要写书评

暂无评论

Efficient scheduling request algorithm for opportunistic wireless access

Efficient scheduling request algorithm for opportunistic wir...

引用

2011 IEEE MTT-S International Microwave Workshop Series on Intelligent Radio for Future Personal Terminals, IMWS-IRFPT 2011

作者： Nam, Haewoon Alouini, Mohamed-Slim Department of Electronics and Communication Engineering Hanyang University Ansan Korea Republic of Electrical Engineering Program KAUST Thuwal Makkah Province Saudi Arabia

ISBN: (纸本)9781457709630

An efficient scheduling request algorithm for opportunistic wireless access based on user grouping is proposed in this paper. Similar to the well-known opportunistic splitting algorithm, the proposed algorithm initially adjusts (or lowers) the threshold during a guard period if no user sends a scheduling request. However, if multiple users make requests simultaneously and therefore a collision occurs, the proposed algorithm no longer updates the threshold but narrows down the user search space by splitting the users into multiple groups iteratively, whereas the opportunistic splitting algorithm keeps adjusting the threshold until a single user is found. Since the threshold is only updated when no user sends a request, it is shown that the proposed algorithm significantly alleviates the burden of the signaling for the threshold distribution to the users by the scheduler. More importantly, the proposed algorithm requires a less number of mini-slots to make a user selection given a certain scheduling outage probability. © 2011 IEEE.

关键词： Scheduling

来源：评论

学校读者我要写书评

暂无评论

Correntropy-Based Data Selective Adaptive Filtering

引用

IEEE Transactions on Circuits and Systems I: Regular Papers 2024年第2期71卷 754-766页

作者： Chien, Ying-Ren Wu, Sheng-Teng Tsao, Hen-Wai Diniz, Paulo S.R. Adaptive and Autonomous Communication Laboratory Department of Electrical Engineering National Ilan University Yilan City260007 Taiwan College of Electrical Engineering and Computer Science Graduate Institute of Communication Engineering National Taiwan University Taipei10617 Taiwan Program of Electrical Engineering Department of Electronics and Computer Engineering COPPE/Poli Universidade Federal do Rio de Janeiro Rio de Janeiro68504 Brazil

Data selection can be used in conjunction with adaptive filtering algorithms to avoid unnecessary weight updating and thereby reduce computational overhead. This paper presents a novel correntropy-based data selection method as an alternative to conventional data selection mechanisms based on squared error values. We developed a variable correntropy sensing algorithm to maximize the instantaneous correntropy function for the Gaussian kernel function to mitigate the impact of impulse noise and other forms of noise that can be disregarded in data selection. The proposed data selection mechanism can be implemented with any adaptive filtering algorithm. In simulations, the proposed method (implemented with the least mean squared algorithm) outperformed comparable error-based data selection schemes in terms of hit rate and miss rate, and the resulting weight updating ratio was close to the expected weight updating ratio. © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

关键词： Adaptive filters

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：