检索结果-内蒙古大学图书馆

International Conference on Electronics, computers and Artificial Intelligence (ECAI)

作者： Ciprian-Ionut Nutescu Mariana Mocanu Faculty of Automatic Control and Computer Science University Politehnica Bucharest Bucharest Romania

In this paper, we propose a genetic algorithm based on behavioral psychology developed by Carl Gustav Jung (16 Personalities model), in which we describe the person's behavioral features related to his personality. The model used for inherence is based on 40 years of psychology studies from the book “The 16personalityy types that determinate how we live, love and work” [1] by Otto Kroeger and Janet M. Thuesen, published in 1988, but using inference extracted from an MBTI (Myers-Briggs Personality Type Indicator) dataset of online posts based on person personality and it thinks from 2018 [2].

关键词：

来源：评论

学校读者我要写书评

暂无评论

Applying Touchscreen as Flight control Inceptor: Investigating the Perceived Workload of Interacting with Sidestick and Touchscreen Inceptors 25th

Applying Touchscreen as Flight Control Inceptor: Investigati...

引用

25th International Conference on Human-computer Interaction, HCII 2023

作者： Zhang, Jingyi Li, Wen-Chin Korek, Wojciech Tomasz Safety and Accident Investigation Centre SATM Cranfield University Cranfield United Kingdom Dynamics Simulation and Control Group SATM Cranfield University Cranfield United Kingdom Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland

ISBN: (纸本)9783031480379

The widespread application of touchscreen technology brought a huge potential for future flight deck design with advanced human-computer interactive mode. The integrated flight displays that enable touchscreen input have been widely examined and validated in the aviation industry. The current research proposed an innovative surface control inceptor based on the touchscreen to control aircraft attitude in flight operations. Fifty-six participants were invited to a flight simulator experiment using the touchscreen and sidestick to perform landing tasks in the scenarios without turbulence and with turbulence. Participants’ heart rate variability (HRV) parameters during flight tasks were collected as biomarkers of mental workload. The two-way repeated measures ANOVA results demonstrated significant interactions of participants’ mean R-R interval (RR) and mean heart rate (HR) between inceptor and turbulence. The simple main effect analysis indicated that in the turbulence scenario, participants’ mean HR significantly decreased and mean RR increased using the touchscreen controller compared to the sidestick inceptor. Furthermore, the standard deviation of normal to normal R-R intervals (SDNN) was higher while performing landing tasks based on the touchscreen in turbulence and non-turbulence scenarios. These findings revealed significant decreases in workload during landing operations from both mental and physical aspects. The applicability of the touchscreen-based control surface inceptor in flight operations was confirmed. This provided a new vision of the advanced aircraft flight control system and future flight deck design for next-generation aviation operations. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Aircraft control

来源：评论

学校读者我要写书评

暂无评论

control requirements and efficiency evaluation for PV power— a practical aproach

Control requirements and efficiency evaluation for PV power...

引用

International Conference on control Systems and computer science (CSCS)

作者： Cristian Andronic Ioana Fagarasan Nicoleta Arghira Sergiu Stelian Iliescu TIAB Constanta Romania Faculty of Automatic Control and Computer Science University POLITEHNICA of Bucharest Romania Faculty of Automatic Control and Computer Science MC-AOSRMO-ASTR University POLITEHNICA of Bucharest Romania

Using photovoltaic (PV) systems connected in distribution and even transport grids increase the need for energy supply security. Energy Efficiency of PV power plants is a performance indicator as well as a fault detection method. control system topologies for grid connected PV power plants can increase the overall generation performance. Three types of plant control topologies with their benefits and drawbacks are compared. The paper also synthesizes the control requirements for each of the plant components cells/panels, inverter and grid connection point. The PV panel faults issue is tackled practically by designing a PVPP test bed for further application of the proposed fault detection algorithm. A 80kW rooftop PV plant is proposed for efficiency evaluation. A decision tree algorithm for power plant efficiency and fault detection is designed. Computation of the capacity factor is an energy efficiency indicator, as well as a detector for PV panel fault initiation by dust or objects covering the cells. A hierarchical control system architecture with a central level PLC and 4 inverters, each with several MPPT modules, one for each string is proposed. The fault tree algorithm will be implemented on the practical PV power plant test bed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Towards Empirical Transfer Function Estimation for Frequency Domain Closed-loop System Identification

Towards Empirical Transfer Function Estimation for Frequency...

引用

International Conference on control, Decision and Information Technologies (CoDIT)

作者： Amirreza Zaman Dina Shona Laila Wolfgang Birk Department of Computer Science Electrical and Space Engineering Automatic Control Group Luleå University of Technology Luleå Sweden

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

This work introduces a method for closed-loop system identification using frequency analysis, employing Empirical Transfer Function Estimation (ETFE). By integrating optimization within a Monte Carlo framework, it enhances the precision of ETFE, resulting in minimized frequency response errors compared to actual system data. Leveraging controller information in an offline model fitting scheme, it achieves optimal realization of process dynamics. The method is evaluated on a data center rack-level cooling system, showing Bode magnitude plots of actual and estimated closed-loop and open-loop dynamics, with confidence intervals demonstrating algorithm consistency. Numerical evaluations confirm the feasibility and potential of the approach to improve offline closed-loop system identification performance in the frequency domain, beneficial for analysis and design. There will not be a comparative study for the introduced approach.

关键词： Monte Carlo methods Heuristic algorithms Fitting Transfer functions Estimation Process control Numerical models Closed loop systems Iterative methods Optimization

来源：评论

学校读者我要写书评

暂无评论

Bettan – Industrial robot and application for Finja Exakt build system 40

Bettan – Industrial robot and application for Finja Exakt b...

引用

40th International Symposium on Automation and Robotics in Construction, ISARC 2023

作者： Klöckner, M. Haage, M. Andersson, R. Nilsson, K. Robertsson, A. Eriksson, H. Department of Computer Science Lund University Sweden AChoice AB Malmö Sweden Cognibotics AB Lund Sweden Department of Automatic Control Lund University Sweden Winsome Consulting AB Lomma Sweden

ISBN: (纸本)9780645832204

This paper reports on efforts to create a robotized construction build system, based on the Finja Exakt manual build system. The equipment used is a generic off-the-shelf industrial arm robot integrated with a spindle crane carrier for mobility. The approach offers technical, safety and usability challenges as well as integration and business challenges for placing a generic industrial robot onsite as part of an automation solution. The question we address is if a robotized build system is a viable niche for industrial robotics in construction. In this paper the question is partially answered by reporting on an industrial robot partially adopted for work on a construction site with evaluation of individual processes in a build system. © ISARC 2023. All rights reserved.

关键词： Industrial robots

来源：评论

学校读者我要写书评

暂无评论

Evaluation of importance for condition attributes based on quality of decision reducts 26

Evaluation of importance for condition attributes based on q...

引用

26th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2022

作者： Stanczyk, Urszula Department of Graphics Computer Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 2A Gliwice44-100 Poland

Relative or decision reducts belong with mechanisms dedicated to feature selection, and they are embedded in rough set approach to data processing. Algorithms for reduct construction typically aim at dimensionality reduction aspect, searching for smallest reducts, which are considered as the most advantageous from the point of view of knowledge representation. However, classifiers build on reduced data models, based on reducts, can significantly vary in performance. Therefore, to ensure quality of predictions, other characteristics of reducts, apart from their cardinalities, need to be taken into account. The paper presents research in which estimation of reduct quality through their characteristics was reflected in calculation of the proposed weighting factors leading to attribute rankings. These rankings were next employed in the process of filtering decision rules, inferred by classic rough set approach. Constructed rule-based classifiers were applied in the stylometric domain to solve a task of authorship attribution. © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022)

关键词： Rough set theory

来源：评论

学校读者我要写书评

暂无评论

Modeling and simulation of a 3 kw photovoltaic system for an autonomous consumer

UPB Scientific Bulletin, Series C: Electrical Engineering an...

引用

UPB Scientific Bulletin, Series C: Electrical Engineering and computer science 2021年第2期83卷 35-46页

作者： Dobrea, Marius-Alexandru Vasluianu, Mihaela Neculoiu, Giorgian Arghira, Nicoleta Faculty of Automatic Control and Computer Science University POLITEHNICA of Bucharest Romania Faculty of Hydrotechnics Technical University of Civil Engineering of Bucharest Romania

The paper aims to model and simulate an assembly composed of 12 photovoltaic panels, each with a nominal power of 250W in order to power a consumer. Starting from the monitoring of the parameters of temperature and solar radiation, a comparison was made during a period of one year, between the simulated power and the real measured one, monitored with a power meter. The paper analyzes the particularities between measured and simulated values in both clear sky and shade conditions. The measured data were compared with a data set used for the simulation which resulted in a correlation coefficient of 93%. The modeling and simulation of this set of photovoltaic panels were performed in the Matlab / Simulink environment. © 2021, Politechnica University of Bucharest. All rights reserved.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

On heterogeneity or sub-classes aspect in construction of stylometric input datasets 26

On heterogeneity or sub-classes aspect in construction of st...

引用

26th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2022

作者： Stanczyk, Urszula Baron, Grzegorz Department of Graphics Computer Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 2A Gliwice44-100 Poland

Stylometric analysis of texts relies on learning characteristic traits of writing styles for authors. Once these patterns are discovered, they can be compared to the ones present in other text samples, to recognise their authorship. This recognition can be compromised if input datasets are prepared without taking into consideration possible stratification of the input space, leading to specific grouping of datapoints, or sub-classes within distinguished classes. The paper shows research dedicated to construction of various structures of input datasets, and combinations of such structures between train and test sets. In the research the influence of different stratification forms on the performance of selected popular classification systems was observed. To minimise the number of influencing factors, a task of authorship attribution was performed as binary classification with balanced classes. Stylometric descriptors exploited belonged to lexical and syntactic group, giving frequencies of occurrence for chosen style-markers. It resulted in real-valued attributes and these values were explored without applying discretisation, in order to avoid the possible bias of this procedure on observations. © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022)

关键词： Knowledge based systems

来源：评论

学校读者我要写书评

暂无评论

Uncertainty-Informed Model Selection Method for Nonlinear System Identification and Interpretable Machine Learning 32

Uncertainty-Informed Model Selection Method for Nonlinear Sy...

引用

32nd Mediterranean Conference on control and Automation, MED 2024

作者： Gu, Yuanlin Wei, Hua-Liang University of Stirling Division of Computer Science and Maths StirlingFK9 4LA United Kingdom University of Sheffield Department of Automatic Control and Systems Engineering SheffieldS1 3JD United Kingdom

ISBN: (纸本)9798350395440

Modeling uncertainty has been an active and important topic in the fields of data-driven modeling and machine learning. Uncertainty ubiquitously exists in any data modeling process, making it challenging to identify the optimal models among many potential candidates. This article proposes an uncertainty-informed method to address the model selection problem. The performance of the proposed method is evaluated on a dataset generated from a complex system model. The experimental results demonstrate the effectiveness of the proposed method and its superiority over conventional approaches. This method has minimal requirements for the length of training data and model types, making it applicable for various modeling frameworks. © 2024 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

TCIP: Transformed Colour Intensity Profiles analysis for fault detection in power line insulators

引用

Multimedia Tools and Applications 2025年第8期84卷 4503-4534页

作者： Tomaszewski, Michal Gasz, Rafal Kasana, Singara Singh Osuchowski, Jakub Singh, Simranjit Zator, Slawomir Department of Computer Science Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Prószkowska 76 Opole45-758 Poland Department of Computer Science and Information Technology Central University of Haryana Haryana Mahendergarh123031 India Department of Information Technology Dr B. R. Ambedkar National Institute of Technology Punjab Jalandhar India Department of Safety Engineering and Technical Systems Faculty of Production Engineering and Logistics Opole University of Technology Prószkowska 76 Opole45-758 Poland

In response to the escalating demand for electricity, the aging process and inherent failures in power lines have become unavoidable challenges in their operational integrity. This research addresses the imperative need for a robust method to detect damage in power insulator disc images, introducing a novel feature extraction technique grounded in color intensity profile transformation and ensemble learning. For the purposes of the research, a specific dataset was developed based on publicly available images of power insulators. The collection consists of 9232 images of insulator discs which included 2184 images of damaged discs. The discernible damages include breakages and burnouts. Two distinct analysis variants were employed. In the first variant (V1), two classification groups were selected: disc with damages and disc without damages. In the second variant (V2), three classification groups were selected: discs without damage, broken discs, and burnout discs. The described research was divided into two successive stages. In the first of them (S1), the transformed color intensity profiles for the prepared data set were built and various machine learning models for their classification were trained and evaluated. In the next stage (S2), previously developed, highest efficient machine learning models, were used to make the detection of various damaged types of overhead line insulator discs. For the first stage of research high-performance results and a high value of the F1 score parameters were obtained (F1 score = 0.999 for the first variant (S1V1) and F1 score = 0.992 for the second variant (S1V2). In the second stage of research and the first variant (S2V1), the highest result of the F1 score was 0.932 and for the second variant (S2V2) F1 score was 0.930. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Feature extraction

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：