检索结果-内蒙古大学图书馆

Cognitive Robotics and Intelligent Systems (ICC - ROBINS), International Conference on

作者： M. Karthick Raja Makhbuba Shermatova Mohammed Saleh Al Ansari Shokhjakhon Abdufattokhov Vuda Sreenivasa Rao I. Infant Raj Department of Computer Science and Engineering Sri Eshwar College of Engineering Coimbatore Civil Engineering and Architecture Department Turin Polytechnic University in Tashkent Tashkent Uzbekistan College of Engineering Department of Chemical Engineering University of Bahrain Bahrain Automatic Control and Computer Engineering Dept Turin Polytechnic University Dept of Information Technologies Tashkent Intl. University of Education Tashkent Uzbekistan Department of Computer Science and Engineering Koneru Lakshmaiah Education Fou. Green Fields Vaddeswaram A.P India Department of Computer Science and Engineering K. Ramakrishnan College of Engineering Trichy Tamil Nadu India

ISBN: (数字)9798350372748

ISBN: (纸本)9798350372755

The increasing prevalence of smart building architectures, driven by the integration of Internet of Things (IoT) devices and automation systems, has led to a surge in energy consumption. This research explores the application of swarm intelligence techniques as an innovative approach to optimize neural networks, aiming to strike a balance between maintaining the desired performance levels and minimizing energy consumption. The study investigates the integration of swarm-based optimization algorithms, such as Particle Swarm Optimization (PSO) into the training and operation of neural networks. These algorithms enable the networks to dynamically adapt and optimize their parameters in response to changing environmental conditions and user requirements. The research focuses on developing a comprehensive framework that considers the specific challenges posed by smart building architectures, including real-time data processing, sensor integration, and adaptive control. The proposed approach aims to achieve optimal neural network configurations that minimize energy consumption while ensuring reliable and responsive operation of smart building systems. The results demonstrate the potential of swarm intelligence to significantly improve the energy efficiency of neural network-enabled smart building architectures, providing a promising avenue for sustainable and intelligent infrastructure. The proposed model has an accuracy of 98.23% which is 7.64% higher than that of the traditional approaches.

关键词： Training Energy consumption Smart buildings Architecture Heuristic algorithms Neural networks Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Modeling and Analysis of Electric Field Variation across Insulation System of a MV power Cable 3

Modeling and Analysis of Electric Field Variation across Ins...

引用

3rd International Conference on Electrical, Communication and computer engineering, ICECCE 2021

作者： Musa, Umar Mati, Abdullahi A. Mas'ud, Abdullahi A. Shehu, Gaddafi S. Albarracin-Sanchez, Ricardo Rodriguez-Serna, Johnatan M. Ahmadu Bello University Dept. of Electrical Engineering Zaria Nigeria Center for Energy Research Training Ahmadu Bello University Zaria Nigeria Jubail Industrial College Dept. of Electrical and Electronic Engineering Jubail Saudi Arabia School of Industrial Design and Engineering Universidad Politécnica de Madrid Dept. of Electrical and Electronic Engineering Automatic Control and Applied Physics Spain

ISBN: (纸本)9781665438971

Cross-linked polyethylene (XLPE) has found wide application in high-and medium-voltage power distribution and transmission systems. Owing to its excellent properties, XLPE is highly deployed for insulation purposes in underground power cables. The presence of defects across the insulation systems serves as field enhancement and partial discharge initiation sites that may lead to equipment failure. In this paper, the finite element modeling of electric field variation across the insulation system of an XLPE medium-voltage (MV) power cable has been presented. A cross-section of the cable sector has been modeled in COMSOL without and with a single spherical cavity. Electric field strength analyses are performed for the healthy and defected cable, and their results are compared. The simulation results showed that the presence of the cavity has risen the electric field strength magnitude by 27.1 % as compared to the original value (without cavity). © 2021 IEEE.

关键词： Partial discharges

来源：评论

学校读者我要写书评

暂无评论

Modular Hardware, Open Source Software and Training Material for PLC Training

Modular Hardware, Open Source Software and Training Material...

引用

International Conference on control, Mechatronics and Automation (ICCMA)

作者： Harsha Priyanka Guntaka Rajesh Kushalkar Nirmala Venkat Akshay Chipkar Vishnu Easwaran Kannan Moudgalya Dept. of Systems & Control Engineering IIT Bombay Mumbai India Dept. of Computer Science & Enginering IIT Bombay Mumbai India Dept. of Chemical Engineering IIT Bombay Mumbai India

ISBN: (纸本)9781665490498

A low cost, open source, rugged, modular OpenPLC, based on ATmega16 microcontroller, has been developed for instructional purposes. Modularity permits flexible use of the OpenPLC. The open source software LDmicro, created for ladder logic operations, has been enhanced, and ported to Linux. A total of 27 Spoken Tutorials of about 10 minute duration each, suitable for self learning, are created for OpenPLC training. A pilot workshop is conducted for 16 teachers of polytechnic colleges using the Spoken Tutorials and the simulation capability of LDmicro. The feedback from the workshop is positive, and the method is suitable for a large scale training.

关键词： Training Mechatronics Costs Automation Microcontrollers Conferences Linux

来源：评论

学校读者我要写书评

暂无评论

A Multivariate Functional Analysis of Inter-Hands Spatiotemporal Coordination in Human Bimanual Tasks and its Implications for Robotics

A Multivariate Functional Analysis of Inter-Hands Spatiotemp...

引用

International Conference on Autonomous Robots and Agents, ICARA

作者： Marco Baracca Andre Meixner Giuseppe Averta Paolo Salaris Tamim Asfour Matteo Bianchi Dept. of Information Engineering Research Center “E. Piaggio” University of Pisa Pisa Italy Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany Dep. of Control and Computer Engineering Politecnico di Torino Turin Italy

ISBN: (数字)9798331509231

ISBN: (纸本)9798331509248

Dual-arm manipulation is a key enabler for significantly enhancing the interaction between humans and robots, and their capabilities to purposefully shape the surrounding environment. However, the spatiotemporal coordination between the motion of the hands required for this type of actions makes their planning not trivial. A proper definition of these coordination patterns moving from the human example could simplify their translation on the robot side, fostering the generation of effective bimanual tasks. In this work, we propose Multivariate functional Principal Component Analysis (MfPCA) as a mathematical tool to encode inter-hands temporal kinematic covariations in terms of principal spatiotemporal coordination patterns in the Cartesian domain. We compared these patterns extracted from a dataset of human bimanual tasks with those resulting from the usage of classical fPCA, applied independently to each hand (univariate fPCA). We found that MfPCA allows for a better classification of the tasks, with respect to a state of the art taxonomy. For what concerns motion planning, MfPCA and fPCA yield similar accuracy in the reconstruction of the motion, but with a smaller number of principal components needed in the MfPCA case. These results, although preliminary, can open interesting perspectives for the usage of MfPCA for human-like bimanual motion planning and control of robotic manipulators, as well as for action recognition, to enable a more effective human-robot interaction.

关键词： Hands Translation Shape Robot kinematics Taxonomy Human-robot interaction Functional analysis Planning Spatiotemporal phenomena Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Identification of Low Order Systems in a Loewner Framework 1

引用

IFAC-PapersOnLine 2024年第15期58卷 199-204页

作者： Arya Honarpisheh Rajiv Singh Jared Miller Mario Sznaier ECE Dept. Northeastern University Boston MA 02115 USA The MathWorks Inc. 1 Apple Hill Drive Natick MA 01760 USA Automatic Control Laboratory (IfA) Department of Information Technology and Electrical Engineering (D-ITET) ETH Zürich Physikstrasse 3 8092 Zürich Switzerland

This paper considers the problem of non-parametric identification of low-order models from time-domain experimental data using a combination of Caratheodory Fejer and Loewner-based interpolation, followed by a Loewner matrix Balanced Reduction (LBR) step. As we show in the paper, the Loewner matrix is an estimator for the trace norm of a system, playing a role similar to the one played by the Hankel matrix. However, utilizing Zolotarev numbers to establish decay rate bounds for singular values reveals that the decay of singular values in the Loewner matrix is considerably faster than that in the Hankel matrix. Thus, Loewner-based methods yield lower order systems, with the same error bound, than comparable ones based on Hankel matrices. The effectiveness of our method is demonstrated through a numerical example.

关键词： Low-rank Approximation Loewner Matrix Hankel Matrix Balanced Reduction Subspace Methods Linear Systems

来源：评论

学校读者我要写书评

暂无评论

Compensation’s Method of Collector Load’s Parasitic Components in SiGe and SOI Cascode Amplifiers Operating at High Temperatures

Compensation’s Method of Collector Load’s Parasitic Compon...

引用

IEEE International Conference on Electrical engineering and Photonics (EExPolytech)

作者： Anna V. Bugakova Ilya V. Frolov Yuri I. Ivanov Nadezhda A. Dmitrienko Dept. Scientific Research Dept. Information Systems and Radio Engineering Don State Technical University Rostov-on-Don Russia Lab. Solid-State Electronics Opto- and Nanoelectronics Ulyanovsk Branch of the Kotelnikov Institute of Radioengineering and Elecronics of Russian Academy of Science Ulyanovsk Russia Dept. Automatic Control Systems Southern Federal University Rostov-on-Don Russia Dept. Foreign Languages Institute of Service and Business (branch) DSTU in Shakhty Shakhty Russia

ISBN: (数字)9798350388879

ISBN: (纸本)9798350388886

This paper considers the circuit method for neutralizing the effect of parasitic components of the collector load in silicon-germanium (SiGe) and silicon-on-insulator (SOI) classical cascade amplifiers and common-base stages on their voltage gain (Gain). The article demonstrates that the incorporation of a dedicated compensating circuit into the original circuits enables the enhancement of their upper frequency limit or gain by a factor of 5 to 10. The conditions for mitigating the impact of resistor parasites, which contribute to losses in planar inductance, on the Q-factor of the RLC-circuit of the selective amplifier are established. It is recommended that the proposed circuit solutions be employed in practical applications involving SiGe and SOI analog chips operating at elevated temperatures.

关键词： Resistors Resistance Q-factor Inductance Temperature distribution Transfer functions Silicon-on-insulator Voltage Transistors Silicon germanium

来源：评论

学校读者我要写书评

暂无评论

Non-collocated Vibration Suppression using Delay-Based controllers with Multiple Fixed Delays*

引用

IFAC-PapersOnLine 2023年第2期56卷 180-185页

作者： Adrian Saldanha Wim Michiels Tomáš Vyhlídal Department of Computer Science KU Leuven Celestijnenlaan 200A 3001 Leuven Belgium Dept. Instrumentation and Control Engineering Faculty of Mechanical Engineering and Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Prague 6 Czechia

The problem of non-collocated vibration absorption is targeted utilizing a multiparameter delay-based controller. The combined objective is to achieve closed-loop stability and vibration suppression at a target location, which is different from the position of the absorber. This problem can be translated into an optimization problem of shaping the poles of a closed-loop system with delays subject to zero-location constraints. The solution approach involves remodelling the closed-loop system as a system of delay-differential algebraic equations (DDAEs) which allows to systematically account for delays in the control law, thereby enabling a straightforward technique for computation of controller parameters. Finally, the proposed design method is validated by simulation on a lumped parameter model of a mass-spring-damper system.

关键词： vibration suppression time-delay systems DDAE optimization

来源：评论

学校读者我要写书评

暂无评论

Molecule Generation from Input-Attributions over Graph Convolutional Networks

arXiv

引用

arXiv 2022年

作者： Savoia, Dylan Ragno, Alessio Capobianco, Roberto Dept. of Computer Control and Management Engineering "Antonio Ruberti" Sapienza University of Rome Italy Sony AI

It is well known that Drug Design is often a costly process both in terms of time and economic effort. While good Quantitative Structure-Activity Relationship models (QSAR) can help predicting molecular properties without the need to synthesize them, it is still required to come up with new molecules to be tested. This is mostly done in lack of tools to determine which modifications are more promising or which aspects of a molecule are more influential for the final activity/property. Here we present an automatic process which involves Graph Convolutional Network models and input-attribution methods to generate new molecules. We also explore the problems of over-optimization and applicability, recognizing them as two important aspects in the practical use of such automatic tools. © 2022, CC BY.

关键词： Molecules

来源：评论

学校读者我要写书评

暂无评论

Semi-Supervised GCN for learning Molecular Structure-Activity Relationships

arXiv

引用

arXiv 2022年

作者： Ragno, Alessio Savoia, Dylan Capobianco, Roberto Dept. of Computer Control and Management Engineering "Antonio Ruberti" Sapienza University of Rome Italy Sony AI

Since the introduction of artificial intelligence in medicinal chemistry, the necessity has emerged to analyse how molecular property variation is modulated by either single atoms or chemical groups. In this paper, we propose to train graph-to-graph neural network using semi-supervised learning for attributing structure-property relationships. As initial case studies we apply the method to solubility and molecular acidity while checking its consistency in comparison with known experimental chemical data. As final goal, our approach could represent a valuable tool to deal with problems such as activity cliffs, lead optimization and de-novo drug design. © 2022, CC BY.

关键词： Graph neural networks

来源：评论

学校读者我要写书评

暂无评论

Success stories from consumer technology-helping and saving lives

Success stories from consumer technology-helping and saving ...

引用

2021 Zooming Innovation in Consumer Technologies Conference, ZINC 2021

作者： Tonacci, Alessandro Billeci, Lucia Kakarountas, Athanasios Gamboa, Patricia Rogado, Jesus Lozano Institute of Clinical Physiology Pisa Italy University of Thessaly Dept. of Computer Science and Biomedical Informatics Lamia Greece Plux Wireless Biosignals S.A. Lisbon Portugal University of Extremadura Dept. of Electric Electronic and Automatic Engineering Badajoz Spain

ISBN: (纸本)9781665404174

Consumer technology (CT) has a broad amount of fields of application, among which one of the most important ones is represented by healthcare and well-being. Thanks to the quick technological development of ICT, CT have become widespread throughout the citizenship, allowing one to easily self-monitor his/her physiological parameters, checking for eventually dangerous values that could require the assistance from a medical doctor or caregiver. This panel session aims at presenting some CT solutions supporting healthcare during the life cycle of an individual, from early days until later life, providing hints about some of the possible conditions representing the major threats to healthy life throughout the years. © 2021 IEEE.

关键词： Life cycle

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：