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检索条件"任意字段=5th International Conference on Informatics in Control, Automation and Robotics"

共 2302 条记录，以下是2101-2110 订阅

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Performance Comparison of the 8/6 SRM Inverters

Performance Comparison of The 8/6 SRM Inverters

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international conference on Power Engineering and Renewable Energy (ICPERE)

作者： R. Martua J. Furqani A. Rizqiawan School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9781665455497

this paper presents detailed analysis, and operation of Asymmetric Half Bridge (AHB) converter topology and shared switch converter topology for 4-phase Switched Reluctance Motor (SRM) drives. Compared to an asymmetric half bridge converter, shared switch converter reduces the number of switches and diodes. Simulation results show that both topologies give the same results of phases flux, phases current, torque electric, and speed. However, some switches in shared switch converter controlled more than one phase. So, the number of switching at operation speed condition is twice more than other switches on asymmetric half bridge or shared switch converter. the simulation results are made by MATLAB/SIMULINK.

关键词： Torque Simulation Printed circuits Bridge circuits Switches Switched reluctance motors control systems

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Neuro-PID adaptive control scheme for blood pressure regulation

Neuro-PID adaptive control scheme for blood pressure regulat...

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international conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA)

作者： S Enbiya A. Hossain F. Mahieddine School of Computing Informatics and Media University of Bradford Bradford UK School of Computing Engineering and Information Sciences Northumbria University UK School of Engineering Design and Technology University of Bradford Bradford UK

control of physiological states such as mean arterial pressure (MAP) has been successfully achieved using single drug by different control algorithms. Multi-drug delivery demonstrates a significantly challenging task as compared to control with a single-drug. Also the patient's sensitivity to the drugs varies from patient to patient. therefore, the implementation of adaptive controller is very essential to improve the patient care in order to reduce the workload of healthcare staff and costs. this paper presents the design and implementation of a Proportional Integral Derivative controller (PID) using neural network based parameter tuning mechanism to regulate mean arterial pressure and cardiac output (CO) by administering vasoactive and inotropic drugs that are sodium nitroprusside (SNP) and dopamine (DPM) respectively. the parameters of PID controller were optimised offline using Simulink Response Optimization tool. the proposed Neuro-PID controller has been implemented, tested and verified to demonstrate its merits and capabilities as compared to the existing approaches to cover wide range of patients.

关键词： Drugs Blood pressure Adaptation models Mathematical model Sensitivity control systems Adaptive control

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Mobile Application for Visualizing the Measurements

Mobile Application for Visualizing the Measurements

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international conference on Modern Electrical and Energy Systems (MEES)

作者： Simona Kirešová Milan Guzan Branislav Sobota Viacheslav Melnykov Rostyslav Yatsiuk Bohdan Peryvertailo Dept. of Theoretical and Industrial Electrical Engineering Technical University of Košice Košice Slovakia Dept. of Computers and Informatics Technical University of Košice Košice Slovakia Dept. of Systems of Automatic Control and Electric Drive Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Dept. of Computer Engineering and Electronics Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine

this paper deals with the design of an Android mobile application and visualization of the measured values of particulate matter and meteorological factors from the measurement stations. the application can in principle be effectively used in any field of data visualization. the architecture of the mobile application, the security, the use of AWS services to access the data in the InfluxDB databases, as well as the user interface and graphical visualizations of the measured data are described and illustrated. the application is user tested and the paper documents their first experiences using the mobile application.

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Performance comparison of multicast-encouraging Explicit Rate Adjustment and packet-pair layered multicast

Performance comparison of multicast-encouraging Explicit Rat...

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international conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Somnuk Puangpronpitag Jaturapad Pratum Computer Science Faculty of Informatics Mahasarakham University Thailand Computer Science Department Science Khon Kaen University Thailand

Multicast-encouraging explicit rate adjustment (MeERA) and packet-pair receiver-driven cumulative layer multicast (PLM) are two of the recently proposed receiver-driven layered multicast congestion control protocols. Both have used explicit rate adjustment techniques in detecting and controlling congestion. Both have also been evaluated by their authors and claim a few advances. However, there is no known study that evaluates these protocols in comparison. In this work, we evaluate both of them in comparison using criteria such as responsiveness, the efficiency of network utilization, fairness, TCP-friendliness, fast convergence, coordination of receivers behind the same bottleneck link, and feasibility in terms of implementation. Performance evaluation is done using a network simulator (ns2).

关键词： Bandwidth Receivers Protocols Proposals Convergence Unicast Probes

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Biped gait optimization using estimation of distribution algorithm

Biped gait optimization using estimation of distribution alg...

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IEEE-RAS international conference on Humanoid Robots

作者： Lingyun Hu Changjiu Zhou Zengqi Sun Department of Computer Science and Technology Tsinghua University Beijing China School of Electrical and Electronic Engineering Singapore polytechnics Singapore

ISBN: (纸本)0780393201

this paper proposes a new biped gait optimization method based on estimation of distribution algorithm (EDA). It is able to explicitly extract global statistical information from the selected solutions and build a posterior probability distribution model of promising solutions based on the extracted information. Biped gait for a nine-link robot is firstly formulated as a multiobjective optimization problem with consideration of multiconstraints including balance and torque. Optimization parameters are angles at transition poses. Instead of searching the joint space directly, EDA is applied to estimate the probability distribution of each joint degree. By this means, inherent mapping relationship between joint coordinates and cost function can be described in term of probability density. Compared to common intelligent learning method, the proposed optimization method can formulate a proper and feasible combination of impulses by tuning less parameters and visiting less states. the effectiveness of the proposed EDA based biped gait optimization method has been tested on a soccer-playing humanoid robot named Robo-Erectus. Experiment results demonstrate that the learned trajectory makes a good balance between stability and energy cost in short learning epochs

关键词： Optimization methods Electronic design automation and methodology Data mining Probability distribution Robot kinematics Orbital robotics Torque Cost function Intelligent robots Learning systems

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Kinematic modeling and validation of a 6-DOF industrial robot

Kinematic modeling and validation of a 6-DOF industrial robo...

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2015 5th international conference on Computer Sciences and automation Engineering(ICCSAE 2015)

作者： Guo-Qing Sun Guan-Bin Gao Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology

the kinematic model of industrial robots is the transformation between the working space and the space of joints. After analysis of the kinematic methods in the area of linkage mechanisms, the kinematic model was established according to DH method for a 6-DOF industrial robot. To verify the kinematic model, the graphic simulation of the industrial robot was established with robotics Toolbox in Matlab. the calculation result of the kinematic model and the simulation are consistent. Experiments were carried out to verify the kinematic model, which shows that the kinematic model is correct.

关键词： Industrial robot Kinematic model Graphic simulation Transformation

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Depression Detection Using Machine Learning Techniques on Twitter Data

Depression Detection Using Machine Learning Techniques on Tw...

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international conference on ent Computing and control Systems (ICICCS)

作者： Kuhaneswaran AL Govindasamy Naveen Palanichamy Faculty of Computing and Informatics Multimedia University Cyberjaya Selangor Malaysia

Depression has become a serious problem in this current generation and the number of people affected by depression is increasing day by day. However, some of them manage to acknowledge that they are facing depression while some of them do not know it. On the other hand, the vast progress of social media is becoming their “diary” to share their state of mind. Several kinds of research had been conducted to detect depression through the user post on social media using machine learning algorithms. through the data available on social media, the researcher can able to know whether the users are facing depression or not. Machine learning algorithm enables to classify the data into correct groups and identify the depressive and non-depressive data. the proposed research work aims to detect the depression of the user by their data, which is shared on social media. the Twitter data is then fed into two different types of classifiers, which are Naïve Bayes and a hybrid model, NBTree. the results will be compared based on the highest accuracy value to determine the best algorithm to detect depression. the results shows both algorithm perform equally by proving same accuracy level.

关键词： Sentiment analysis Machine learning algorithms Social networking (online) Blogs Mental health Machine learning Depression

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Considering the bystander's perspective for indirect human-robot interaction

Considering the bystander's perspective for indirect human-r...

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ACM/IEEE international conference on Human-Robot Interaction (HRI)

作者： Katherine M. Tsui Munjal Desai Holly A. Yanco Department of Computer Science University of Massachusetts Lowell Lowell MA USA

ISBN: (纸本)9781424448920;9781424448937

As robots become more pervasive in society, people will find themselves actively interacting with robots, and also rushing past them without any explicit interaction. People are able to maneuver in crowded situations by speeding up or slowing down to slip in between open pockets where people are not standing or walking. Our research focuses on this indirect bystander interaction. Scholtz defines a bystander as a person who "does not explicitly interact with a robot but needs some model of robot behavior to understand the consequences of the robot's actions" and does not have formal training about the robot [1], [2]. We investigated the level of trust that a bystander has of a robotic system in a corridor passing scenario by asking people to watch short videos of such scenarios where the hallway is only wide enough to accommodate two entities (either human or robot). Our goal was to understand the bystander's mental model of how a robot should behave when passing a human, the bystander's expectation of the robot to adhere to social protocol, and the overall trust a bystander has of the robot to do the right thing.

关键词： Mobile robots Wheelchairs Videos Service robots robotics and automation Human robot interaction Cognitive science Protocols Computer science Legged locomotion

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Performance Analysis of a Cloud Computing System using Queuing Model with Correlated Task Reneging 5

Performance Analysis of a Cloud Computing System using Queui...

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5th international Scientific conference on Information, control, and Communication Technologies, ICCT 2021

作者： Kumar, Rakesh Soodan, Bhavneet Singh Kuaban, Godlove Suila Czekalski, Piotr Sharma, Sapana School of Mathematics Shri Mata Vaishno Devi University Jammu and Kashmir Katra182320 India Department of Mathematics and Statistics Namibia University of Science and Technology Private Bag 13388 Windhoek Namibia 13 Jackson Kaujeua Street Windhoek Namibia Institute of Theoretical and Applied Informatics Polish Academy of Sciences Baltycka 5 Gliwice44 - 100 Poland Department of Computer Graphics. Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Poland Department of Mathematics Cluster University of Jammu Jammu and Kashmir India

Queuing theory has been extensively used in the modelling and performance analysis of cloud computing systems. the phenomenon of the task (or request) reneging, that is, the dropping of requests from the request queue often occur in cloud computing systems, and it is important to consider it when developing performance evaluations models for cloud computing infrastructures. Majority of studies in the performance evaluation of cloud computing data centres with the use of queuing theory do not consider the fact that the tasks could be removed from queue without being serviced. the removal of tasks from the queue could be due to the user impatience, execution deadline expiration, security reasons, or as an active queue management strategy. the reneging could be correlated in nature, that is, if a request is dropped (or reneged) at any time epoch, and then there is a probability that a request may or may not be dropped at the next time epoch. this kind of dropping (or reneging) of requests is referred to as correlated request reneging. In this paper we have modelled a cloud computing infrastructure with correlated request reneging using queuing theory. An M/M/1/N queuing model with correlated reneging has been used to study the performance analysis of the load balancing server of a cloud computing system. the steady-state as well as the transient performance analyses have been carried out. Important measures of performance like a vera ge queue size, average delay, probability of task blocking, and the probability of no waiting in the queue are studied. Finally, some comparisons are performed which describe the effect of correlated task reneging over simple exponential reneging. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Cloud computing

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Analysis of a Variable Stiffness Soft Actuator for Lower Back Pain Rehabilitation

Analysis of a Variable Stiffness Soft Actuator for Lower Bac...

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Artificial Intelligence, robotics and control (AIRC), international conference on

作者： Muhammed Gaafar Mahmoud Magdy Haitham El-Hussieny Ahmed El-Betar Mechanical Engineering Dept. Benha University Benha Egypt Mechanical Engineering Dept. The British University in Egypt Cairo Egypt Mechatronics and Robotics Engineering Dep. Egypt-Japan University of Science and Technology Alexandria Egypt

ISBN: (数字)9798350385076

ISBN: (纸本)9798350385083

this work presents an analysis of a soft actuator that has customizable stiffness, using the concept of chain mail jamming. the actuator has the ability to achieve adaptive stiffness in a wearable exosuit designed for spinal rehabilitation. It can reshape and exert variable force to aid in this process. the jamming phenomenon occurs when particles within a pliable enclosure become entangled due to the application of pressure along their borders. this is commonly used in the construction of mechanisms that have adjustable stiffness. Chain mail has a smaller packing fraction and offers greater tensile force in comparison to standard jamming media. this work introduces the application of chain mail jamming to soft wearable robotics. Finite Element Analysis confirms the benefits of customizable stiffness in a wearable exosuit for spinal rehabilitation.

关键词： Actuators Pain Shape Force Wearable robots Soft robotics Finite element analysis

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