检索结果-内蒙古大学图书馆

24th International Conference on control Systems and Computer Science, CSCS 2023

作者： Rasras, Mohammad Marin, Iuliana Radu, Serban University Politehnica of Bucharest Doctoral School of Automatic Control and Computers Bucharest Romania University Politehnica of Bucharest Dept. of Engineering in Foreign Languages Bucharest Romania University Politehnica of Bucharest Dept. of Computer Science Bucharest Romania

ISBN: (纸本)9798350313390

A smart home allows automated technology to control systems and appliances to assist daily life activities. In the current work, a prototype of a designed smart home health-aware system is presented. Three predefined ruled agents have been used to gather data, communicate between themselves, interpret the data based on several machine learning algorithms to predict abnormality for cardiac conditions. The paper also compares results obtained by running five machine learning algorithms. The agents function in accordance with predefined dataset describing residents ' age, gender, height, weight, systolic and diastolic blood pressure, cholesterol, and glucose levels, smoking and alcohol consumption habits, and lastly, physical activity. Our plan is to simplify ubiquitous health monitoring for smart home's residents. The proposed solution aims to monitor parametric measurements to alert health specialists in case of emergencies. © 2023 IEEE.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

Mathematical Modeling of the Process of Forming Video Frames by the Computer Vision System of an Underwater Vehicle

Mathematical Modeling of the Process of Forming Video Frames...

引用

2021 International Russian Automation Conference, RusAutoCon 2021

作者： Sakovich, Sergey Yu. Siek, Yuri L. Dept. of Automatic Control Systems and On-Board Computing Smtu Saint-Petersburg Russia

ISBN: (纸本)9780738131566

Underwater vehicles used for surveys and inspections are equipped with computer vision systems based on video cameras. The efficiency of such underwater vehicles depends on the onboard software used, the development of which must take into account the peculiarities of operating conditions. The separate system's test of the underwater vehicle can be used as a simulation of the conditions for its operation. The model used for verification of the video system should take into account the environment, lighting, characteristics of on-board video cameras and the dynamics of the underwater vehicle. In the proposed model, the virtual seabed environment is created from a schematic image based on visualization. The calculation of the lighting of the simulated scene has a ray-tracing method. The camcorder model takes into account geometric parameters such as focus, pixel sizes, etc. That model uses perspective projection rules to describe the operation of the video camera. Practical implementation of the mathematical model can simulate two on-board video cameras at the same time. The developed model takes into account the spatial movement of the underwater vehicle. The developed model takes into account the spatial movement of the underwater vehicle. This feature of the model allows you to control linear and angular velocities. Considering these characteristics makes it possible to form video frames from the position of the underwater vehicle. This article presents the mathematical model of forming video frames of the seabed by an underwater vehicle. © 2021 IEEE.

关键词： Visualization

来源：评论

学校读者我要写书评

暂无评论

High-Speed Operational Amplifier with a Differentiating Circuit of Transient Correction

High-Speed Operational Amplifier with a Differentiating Circ...

引用

2024 Conference of Young Researchers in Electrical and Electronic engineering, ElCon 2024

作者： Titov, Alexey E. Alferova, Irina A. Kuznetsov, Dmitry V. Southern Federal University Dept. of Automatic Control Systems Rostov-on-Don Russia Don State Technical University Dept. of Scientific Research Rostov-on-Don Russia Don State Technical University Dept. of Cyber Security of Information Systems Rostov-on-Don Russia Don State Technical University Dept. of Information Systems and Radio Engineering Rostov-on-Don Russia

ISBN: (纸本)9798350360646

The relevance of the present research is related to the search for promising ideas for increasing the maximum slew rate of the output voltage (SRM) of new-generation operational amplifiers (OpAmps). Proposed circuit techniques that provide (with simultaneous use) an increase in SRM by more than 2 orders of magnitude. Such high-speed operational amplifiers are in demand today for application in drivers of high-speed ADCs (AD9208, AD9691, etc.), and as active elements in circuits of analog-to-discrete filters on switched capacitors. It is proposed to introduce (according to the developed rules) a nonlinear differentiating RC-circuit realized based on an additional differential stage and a differentiating capacitor of small capacitance into the classical OpAmps with one integrating correction capacitance. Such circuit "additives"practically do not change the low-signal dynamic and static parameters of the OpAmp, and at a large signal during the transient front, when the input stage enters the nonlinear mode, form a large current overcharge of the integrating correction capacitor. Consequently, the SRM of the OpAmp is significantly increased. © 2024 IEEE.

关键词： analog-to-digital converter analog-to-discrete filter maximum slew rate of output voltage nonlinear correction operational amplifier

来源：评论

学校读者我要写书评

暂无评论

Cascaded Predictive Speed control and Load Torque Rejection of PMSM

Cascaded Predictive Speed Control and Load Torque Rejection ...

引用

International Conference on System Theory, control, and computing (ICSTCC)

作者： Madalin Costin Corneliu Lazar Dept. of Automatic Control and Applied Informatics "Gheorghe Asachi" Technical University of Iasi Iasi Romania Dept. of Automatic Control and Electrical Engineering "Dunarea de Jos" University of Galati Galati Romania

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

In this paper, a new cascade control structure is proposed for model predictive control (MPC) of permanent magnet synchronous machine (PMSM). Based on the d-q model of the PMSM and the field-oriented control principle, the cascade structure consists of an inner loop for predictive control of d-q currents and an outer one for predictive control of speed and load torque rejection. To independently control the two currents in the inner loop, a decoupling algorithm was used, followed by MPC controllers that by their ability to manipulate the constraints in the design phase ensure efficient control considering the physical limitations of currents and voltages. Quadratic constraints of electrical signals are approximated by box constraints to reduce computational effort. For speed control and load torque rejection, an MPC controller with a measurable disturbance input is used in the outer loop. Since the load torque is not measurable, an observer was used to estimate it. The proposed predictive control structure for the PMSM was implemented in Matlab-Simulink using MPC controllers from the MPC Toolbox. The Simulink control scheme was used for the performance testing against classical PI controllers.

关键词： Torque PI control Current measurement Velocity control Predictive models Observers Mathematical models Torque measurement Voltage control Predictive control

来源：评论

学校读者我要写书评

暂无评论

An Intelligent Battery Management System for an Electric Vehicle Powered by Solar PV Array 59

An Intelligent Battery Management System for an Electric Veh...

引用

59th International Universities Power engineering Conference, UPEC 2024

作者： Challoob, Ali Falih Bin Rahmat, Nur Azzammudin Ramachandaramurthy, Vigna K. Saeed, Nagham Humaidi, Amjad Jaleel Institute of Power Engineering Universiti Tenaga Nasional Strategic Planning Centre Malaysia School of Computing and Engineering University of West London London United Kingdom University of Technology Control and Systems Eng. Dept. Baghdad Iraq

ISBN: (纸本)9798350379730

Implementing a Battery Management System (BMS) in Electric Vehicles (EVs) offers several benefits that enhance the efficiency, security, and durability of the vehicle's battery system. The BMS oversees and controls the performance of each cell in the battery pack, guaranteeing that they function within predetermined voltage and temperature thresholds to maintain safety. In this paper, an intelligent BMS for an EV model powered by a solar PV array was proposed using a fuzzy logic (FL) controller. The proposed method was applied to EVs consisting of four Lithium-ion batteries. The simulation results are achieved using MATLAB/Simulink software. The estimation of the state of charge (SOC) for each battery was used as input to the FL which controls the discharging/ charging mode for each battery via power semiconductor switches. Three different scenarios are used to verify the suggested method. A full control FL operation was obtained, and the batteries were protected successfully against overcharging and over-discharging. © 2024 IEEE.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

Designing Quantum-Resilient Blockchain Frameworks: Enhancing Transactional Security with Quantum Algorithms in Decentralized Ledgers

引用

International Journal of Advanced Computer Science and Applications 2025年第4期16卷 618-628页

作者： Kale, Meenal R. Baker El-Ebiary, Yousef A. Sathiya, L. Burugari, Vijay Kumar Yulduz, Erkiniy Muniyandy, Elangovan Alanazi, Rakan Department of Humanities Yeshwantrao Chavan College of Engineering Hingna Nagpur India Faculty of Informatics and Computing UniSZA University Malaysia Department of CSE Panimalar Engineering College Chennai India Dept of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh Guntur India Automatic Control and Computer Engineering Department Turin Polytechnic University in Tashkent Tashkent Uzbekistan Department of Biosciences-Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Applied Science Research Center Applied Science Private University Amman Jordan Department of Information Technology Faculty of Computing and Information Technology Northern Border University Rafha Saudi Arabia

Quantum computing is progressing at a fast rate and there is a real threat that classical cryptographic methods can be compromised and therefore impact the security of blockchain networks. All of the ways used to secure blockchain like Rivest–Shamir–Adleman (RSA), Elliptic Curve Cryptography (ECC) and Secure Hash Algorithm 256-bit (SHA256) are the characteristic of the traditional cryptographic techniques vulnerable to attack by quantum algorithms: Shor’s and Grover’s algorithms: can efficiently break asymmetric encryption and speed up brute force attacks. Because of this vulnerability, there exists a need to develop an advance quantum resilient blockchain framework to protect the decentralized ledgers from the future threats of the quantum. This research proposes Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD) and Quantum Random Number Generation (QRNG) as a formidable architectural integration, to fortify security of blockchain. Classical encryption is replaced with PQC, QKD with secure key exchange by detecting eavesdropping, and QRNG with improving cryptographic randomness to remove the predictable key vulnerability. Only with a small loss of transaction efficiency, we increase transaction encryption accuracy, key exchange security, and resistance to quantum attacks. In this quantum enhanced blockchain design, the idea is to preserve the decentralization, transparency and security and at the same time overcome the future quantum threat. By going through rigorous analysis and comparative evaluation, we demonstrate that the approach saves blockchain networks from the emerging quantum risks to make sure that the decentralized finance, smart contracts and cross chain transactions. © (2025), (Science and Information Organization). All rights reserved.

关键词： Quantum cryptography

来源：评论

学校读者我要写书评

暂无评论

Assessing Uncertainty in Space Weather Forecasting Using Quantile Regression and Complex Nonlinear Systems Identification Techniques

Assessing Uncertainty in Space Weather Forecasting Using Qua...

引用

International Conference on computing, Electronics & Communications engineering (iCCECE)

作者： Hua-Liang Wei Michael A. Balikhin Richard J. Boynton Simon N. Walker Dept. of Automatic Control and Systems Engineering The University of Sheffield Sheffield UK

Space weather forecasting is of global interest, and its importance is well established in research community and recognized by government, industries and stockholders. Over the past years, many types of predictive models have been developed in the literature. There is a general agreement that forecasting models should not only provide point prediction but also inform the uncertainty associated with the prediction. This study presents a novel method bases on quantile regression and complex dynamic modelling for measuring uncertainties in space weather forecasting. The approach is implemented using Quantile regression and Nonlinear AutoRegressive Moving Average with Exogenous inputs (NARMAX) methods (for short the approach is called Q-NARMAX). The method is applied to Disturbance storm index (Dst) observations to examine its interpretability and capability for uncertainty analysis. Results show that the proposed Q-NARX model can produce excellent predictions of the Dst index, and meanwhile provides a measure for assessing the uncertainty in the forecast. The innovative integration of quantile regression, complex dynamic modelling and nonlinear system identification techniques enables the proposed work to have following attractive advantages and properties: 1) it can produce excellent prediction accuracy for space weather forecasting, 2) it uses transparent models to approximate (represent) black-box systems, enabling to interpret the dependent relationship between space weather indices (system outputs) and their drivers (system inputs), and 3) more importantly, it allows for uncertainty assessment and analysis of models and forecasts.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Tuning the Feedback controller Gains is a Simple Way to Improve Autonomous Driving Performance

Tuning the Feedback Controller Gains is a Simple Way to Impr...

引用

UKACC International Conference on control (control)

作者： Wenyu Liang Pablo R. Baldivieso Ross Drummond Donghwan Shin Dept. of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Dept. of Computer Science University of Sheffield Sheffield UK

ISBN: (数字)9798350374261

ISBN: (纸本)9798350374278

Typical autonomous driving systems are a combination of machine learning algorithms (often involving neural networks) and classical feedback controllers. Whilst significant progress has been made in recent years on the neural network side of these systems, only limited progress has been made on the feedback controller side. Often, the feedback control gains are simply passed from paper to paper with little re-tuning taking place, even though the changes to the neural networks can alter the vehicle's closed loop dynamics. The aim of this paper is to highlight the limitations of this approach; it is shown that re-tuning the feedback controller can be a simple way to improve autonomous driving performance. To demonstrate this, the PID gains of the longitudinal controller in the TCP autonomous vehicle algorithm are tuned. This causes the driving score in CARLA to increase from 73.21 to 77.38, with the results averaged over 16 driving scenarios. Moreover, it was observed that the performance benefits were most apparent during challenging driving scenarios, such as during rain or night time, as the tuned controller led to a more assertive driving style. These results demonstrate the value of developing both the neural network and feedback control policies of autonomous driving systems simultaneously, as this can be a simple and methodical way to improve autonomous driving system performance and robustness.

关键词： Machine learning algorithms Neural networks control systems Robustness Feedback control control theory Adaptive control

来源：评论

学校读者我要写书评

暂无评论

Predicting Age from Brain Connectivity Matrix: A Stacked Regression Approach

Predicting Age from Brain Connectivity Matrix: A Stacked Reg...

引用

International Symposium on Applied Computational Intelligence and Informatics ( SACI)

作者： Gabriel Pojoga Victor Teslaru Otilia ZvoriȘteanu Ștefan-Daniel Achirei Dept. of Computer Science and Engineering Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iasi Iasi Romania

ISBN: (数字)9798331515478

ISBN: (纸本)9798331515485

Accurately predicting age from functional connectome data can provide valuable insights into brain development and neurodegenerative processes. In this study, we apply various machine learning algorithms to age prediction using functional connectivity features. The preprocessing pipeline included missing value imputation and categorical variable encoding. We experimented with traditional regression models and neural networks, ultimately achieving the best performance with a stacking ensemble. The ensemble leveraged a Multi-Layer Perceptron meta-learner to reduce base model biases, improving predictive accuracy. To enhance diversity, base models were selected based on their individual performance and prediction correlation. Our results demonstrate that ensemble learning can effectively handle the complexity of neuroimaging data, offering a robust approach for age prediction and potential applications in neurological research.

关键词： Neuroimaging Computational modeling Precision medicine Stacking Diversity reception Proteomics Predictive models Brain modeling Ensemble learning Biological neural networks

来源：评论

学校读者我要写书评

暂无评论

Robust Adaptive control of Servo Systems 19

Robust Adaptive Control of Servo Systems

引用

19th International Conference on Electrical engineering, computing Science and automatic control, CCE 2022

作者： Morales, Olga Jimenez Maldonado, J. Garrido, R. CINVESTAV-IPN Dept. of Automatic Control. Ciudad de Mexico Mexico Communications Academy IPN-ESIME Dept. of Engineering and Electronics Ciudad de Mexico Mexico

ISBN: (数字)9781665455084

ISBN: (纸本)9781665455084

This paper presents the evaluation of a novel Robust Adaptive control algorithm on a servo system. The main feature of the proposed approach is the use of an updated law based on the e-modification, endowed with a saturation function that maintains the parameter estimates within known lower and upper bounds without resorting on parameter projection techniques. The performance and advantages of the proposed update law compared to the use of a standard updated law based on the e-modification are evaluated. The experimental results highlight the advantages of the proposed robust adaptive controller. In addition, the experiments also show that the use of the proposed update law produces a smooth control signal without large peaks. © 2022 IEEE.

关键词： Parameter estimation

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：