检索结果-内蒙古大学图书馆

7th International Conference on Inventive Communication and Computaional Technologies, ICICCT 2023

作者： Tahsin, Md Ulfat Jasim, Sarah Naheen, Intisar Tahmid Department of Electrical and Computer Engineering North South University Dhaka Bangladesh

ISBN: (纸本)9789819951659

Social isolation has become a concerning factor after the COVID-19 pandemic, as the lockdown periods significantly restricted people’s interaction with the outside world. Existing studies have shown its correlation with a person’s mental and physical health. This paper focuses on identifying socially isolated individuals based on specific criteria, such as gender, family or self-earning, online or offline interactions, taking care of physical and mental health, and a couple more. The questionnaire also contains universally used PHQ9, K6, and UCLA LS3 scales to test individuals for depression, distress, and feeling of loneliness. All these input parameters were analyzed, combinations of these parameters were evaluated, and then the correlated parameters were used to prepare a machine learning-based web application that could asses an individual’s sense of feeling unwanted or socially isolated. Five supervised machine learning algorithms were employed, and it was found that the logistic regression model gave the best performance (73.6% accuracy). This study also features a web application that shows the successful implementation of our proposed approach. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Analysis of EDF and RM scheduling algorithms for periodic and aperiodic tasks in multi-core ECU

Analysis of EDF and RM scheduling algorithms for periodic an...

引用

2023 International Technical Conference on Circuits/Systems, computers, and Communications, ITC-CSCC 2023

作者： Lim, Se Jeong Kim, Jong Hun Jeon, Jae Wook Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of

ISBN: (纸本)9798350326413

As the development of innovative automotive software continues to progress, the architecture and solutions required for automotive software become more complex. It is challenging to cope with these issues with a single-core Electronic Control Unit (ECU), and therefore a multi-core ECU is being utilized as a solution. When tasks enter the multi-core ECU, it is necessary to properly divide the processes into multiple cores to execute the tasks. Tasks in a vehicle consist of periodic tasks and aperiodic tasks, which are mainly handled through Rate-monotonic (RM) and Earliest Deadline First (EDF) scheduling, utilizing a Server to manage aperiodic tasks. Polling Server (PS) is employed in RM scheduling, and Total Bandwidth Server is used in EDF scheduling to handle aperiodic tasks. The present study aims to conduct a comparative analysis of the performance of two distinct scheduling algorithms through experiments consisting of periodic and aperiodic tasks by examining several variables. © 2023 IEEE.

关键词： Scheduling algorithms

来源：评论

学校读者我要写书评

暂无评论

Methods of data streaming from IEC 61499 applications to Cloud storages 32

Methods of data streaming from IEC 61499 applications to Clo...

引用

32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Lyu, Tuojian Galkin, Nikolai Liakh, Tatiana Yang, Chen-Wei Vyatkin, Valeriy Aalto University Department of Electrical Engineering and Automation Espoo Finland Luleå Tekniska Universitet Computer and Space Engineering Department of Computer Science Sweden

ISBN: (纸本)9798350399714

This paper presents and discusses two methods for collecting data from decentralised control applications designed in IEC 61499 architecture. The topic is justified by the growing use of Cloud-based storage and presentation services in the Internet-of-Things systems. Enabling IEC 61499 devices with the capabilities of storing data in the Cloud and using web-based data presentation and data analytics is of great practical importance. Moreover, what is the most elegant way to configure such data streaming in IEC 61499 is an open question, to solving which this paper aims to provide state-of-the-art information. © 2023 IEEE.

关键词： Data Analytics

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of a Real-time Brain-computer Interface for an Electric Wheelchair 46

Design and Implementation of a Real-time Brain-Computer Inte...

引用

46th International Conference on Telecommunications and Signal Processing, TSP 2023

作者： Glavas, Kosmas Prapas, Georgios Tzimourta, Katerina D. Tsipouras, Markos G. University of Western Macedonia Department of Electrical and Computer Engineering Kozani Greece

ISBN: (纸本)9798350303964

The field of Brain-computer Interface (BCI) is expanding quickly and has numerous applications in various areas including medical, gaming, and everyday living. This paper presents a BCI-controlled wheelchair with Motor Imagery (MI) mental commands for turning right and left. The Degree of Freedom is 4;going forward, stopping, turning left and right. To record the raw EEG data Muse S headband is employed and to classify the mental commands Linear Discriminant Analysis (LDA) algorithm is used. 6 subjects trained extensively and tested the proposed BCI system in 2 experiments for 100 repetitions each. The experiments are conducted in an office environment and the results demonstrated that the participants are able to successfully adapt and operate the BCI-controlled wheelchair with a high level of accuracy and precision. © 2023 IEEE.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

An Overview of the Energy Efficiency and Power Management Strategies in Robots 4

An Overview of the Energy Efficiency and Power Management St...

引用

4th IEEE International Multidisciplinary Conference on engineering Technology, IMCET 2023

作者： El Tayar, Wajih-Georges Yehia, Sary Maalouf, Noel El Ghossein, Nagham Lebanese American University Department of Electrical and Computer Engineering Byblos Lebanon

ISBN: (纸本)9798350313826

The recent advances in Mobile Robots (MRs) have engendered the need for energy efficient performance. To achieve the latter, two worthwhile aspects come into play: gait planning and Energy Storage Systems (ESSs). These branch into gait parameter optimization, where the robot's locomotion is rendered more efficient, ESS management, where the power providing unit is studied, and charge scheduling, responsible for handling MRs' task allocation. Optimal and energy efficient gait synthesis was achieved through multi-objective optimization algorithms, while the robot's ESS performance and charging schedules were studied by applying effective modeling techniques and algorithms. This paper offers an overview of recent works in the mentioned topics and aims to facilitate future possible research. © 2023 IEEE.

关键词： Battery management systems

来源：评论

学校读者我要写书评

暂无评论

Techno-Economic Modeling and Analysis of Off-Grid Microgrids for Rural Electrification in China 49

Techno-Economic Modeling and Analysis of Off-Grid Microgrids...

引用

49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Liang, Yingqi Saner, Can Berk Zhong, Jialun Wang, Yuxiao Liu, Yilin Zhong, Zhouwei National University of Singapore Department of Electrical and Computer Engineering Singapore Singapore

ISBN: (纸本)9798350331820

The vast, remote rural areas in China have abundant renewable energy sources (RESs) that are not well utilized. Recent studies have advocated microgrids for flexible utilization of RESs like wind and solar energy, making them a vital solution for rural electrification. This paper performs techno-economic modeling and analysis of off-grid microgrids. Regarding the modeling, the system structure of an off-grid microgrid and the power output models of various generation units are first proposed. Next, a realistic economic cost model is developed based on power outputs, energy policies, and natural resources in rural areas. Then, the electricity consumption behavior of rural residents is elaborated, including typical household and agricultural electricity consumption behaviors. Regarding the analysis, three representative Chinese villages are first selected for case studies based on geological and geomorphological characteristics. Next, a Markov chain Monte Carlo-based method is advocated to generate renewable energy output data. Then, the suitable models and installation capacity for each generation unit are suggested, considering the village size, load characteristics, local policies, etc. Results verify the proposed methodology. © 2023 IEEE.

关键词： Rural areas

来源：评论

学校读者我要写书评

暂无评论

Enhanced Efficiency of UDS-Based Large Data Diagnostics through CAN-FD to CAN Gateway

Enhanced Efficiency of UDS-Based Large Data Diagnostics thro...

引用

2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023

作者： Lim, Se Jeong Do, Young Soo Jeon, Jae W Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of

ISBN: (纸本)9798350344318

The automotive industry is currently focusing on the development of vehicle software, prompting a shift in the vehicle's ECU structure from a decentralized E/E architecture to a centralized one for efficient software control. Furthermore, a domain gateway communicates with higher-level gateways through CAN-FD or Ethernet protocols and ECUs process more data than ever before. Consequently, the diagnostic framework needs to be aligned accordingly. The predominant diagnostic protocol utilized in the automotive industry is known as UDS (Unified Diagnostic Services). In the past, protocols like UDSonCAN were predominantly employed in a way that enabled gateways to bypass diagnostic messages. This present study proposes an algorithm aimed at optimizing diagnosis for large diagnostic data by converting ECU-originated CAN diagnostic messages to CAN-FD or CAN-FD-TP formats, facilitating their efficient transmission to the diagnostic tool. © 2023 IEEE.

关键词： Automotive industry

来源：评论

学校读者我要写书评

暂无评论

A Long Short-Term Memory-Based Interconnected Architecture for Classification of Grasp Types Using Surface-Electromyography Signals

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2024年第1期5卷 434-445页

作者： Erazo, Andres Ko, Seok-Bum University of Saskatchewan Division of Biomedical Engineering SaskatchewanSKS7N 5A2 Canada University of Saskatchewan Department of Electrical and Computer Engineering Division of Biomedical Engineering SaskatchewanSKS7N 5A2 Canada

Reliable classification of grasp types from human limbs has become an important aspect used by applications with humanoid robotic systems, because of their high-accuracy implementations in human movement replication and detection. Biomedical features extracted from muscular signals are commonly used for this purpose, however, their extraction and usage have been targeted independently, with time series features not even considered in the classification stage. Recently, studies show deep neural networks could obtain the signal's features in their internal architecture and use them directly over a classification task, avoiding all preprocessing steps and improving the obtained accuracy. Therefore, the current study proposes a deep architecture based on long short-term memory networks for the classification of six grasp types as an end-to-end deep model approach, working with raw surface electromyography signals. Classification accuracy of 99.12% was obtained and compared with previous studies which use different machine learning techniques over the same dataset. Results obtained showed that our model's architecture improves previous results as well as provides a robust solution avoiding overfitting, with an F1-score higher than 99% for all grasp types. © 2020 IEEE.

关键词： Time series analysis

来源：评论

学校读者我要写书评

暂无评论

Optimal Microgrid Formation through Performance Optimization in Distribution Networks with Distributed Generation 59

Optimal Microgrid Formation through Performance Optimization...

引用

59th IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2023

作者： Shawon, Shah Md. Rezwanul Haque Liang, Xiaodong University of Saskatchewan Department of Electrical and Computer Engineering SaskatoonSK Canada

ISBN: (纸本)9798350396515

Microgrids are building blocks of smart grids. With increasing penetration of renewable energy-based distributed generation (DG) in distribution networks, microgrid formation is an effective way to improve resiliency by transforming a conventional distribution network into its active form. In this paper, a new method for the microgrid planning through optimal microgrid formation in distribution networks is proposed through performance optimization, where the total power losses of the whole system are minimized, and their adequacy and reliability are improved. Brute Force search algorithm and Backward Forward Sweep method are used to solve the optimization and load flow problems, respectively. The IEEE 33-node test system is used to validate the proposed method in MATLAB. © 2023 IEEE.

关键词： Distributed power generation

来源：评论

学校读者我要写书评

暂无评论

Early Prediction of Ischemic Stroke Using Machine Learning Boosting Algorithms 3

Early Prediction of Ischemic Stroke Using Machine Learning B...

引用

3rd IEEE International Conference on Intelligent Technologies, CONIT 2023

作者： Rahman, Asif Hoque, Safiyatul Khan, Mossran Thamid Abdur Rahman, Faisal Bin Islam, Anharul Shumona, Sadia Islam Salam, K.M.A. Engineering North South University Department of Electrical and Computer Dhaka Bangladesh

ISBN: (纸本)9798350338607

The rising incidence of ischemic stroke poses a significant threat to health and well-being. To lessen the damage that strokes cause, early detection and intervention are essential. Machine-learning-based systems have proven effective in predicting and reducing the impact of various diseases, including strokes. In this research, a dataset with 5026 data points and 11 features related to strokes was used to train three machine learning boosting models: an XGBoost, an AdaBoost, and a Gradient Boosting Classifier. Among these, AdaBoost models performed the best, with an accuracy rate of 97.73%. So, the most accurate model, AdaBoost, was chosen for forecasting stroke risk. To make the system accessible, a hosted web application and a mobile app were developed. This study has the potential to significantly improve the medical system's ability to prevent and mitigate the damage caused by ischemic strokes through early prediction and intervention. © 2023 IEEE.

关键词： Adaptive boosting

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：