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New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert systems

作者： O. Hammerschmidt T. Doersam Institute for Microcomputers and Automation Department of Computer Science University of Karlsruhe Karlsruhe Germany Institute for Real-Time Computer Systems and Robotics Deparfmenf of Computer Science University of Karlsruhe Karlsruhe Germany

In process automation the control of plants with uncertainty or unknown parameters normally requires either a costly identification phase or an intensive fine-tuning of the controller. An easy adaptive fuzzy control is proposed which allows automatic controller tuning during operation with respect to desired closed loop behaviour. This adaptive control was added to the fuzzy kernel of an existing process automation system. Finally, experimental results of a three fingered robot gripper using this adaptive fuzzy control are presented.

关键词： Programmable control Adaptive control Fuzzy control Automatic control robotics and automation Process control Uncertainty Fuzzy systems Kernel Grippers

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Engineering for industrial robots in content based virtual space

Engineering for industrial robots in content based virtual s...

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19th International Workshop on robotics in Alpe-Adria-Danube Region, RAAD 2010

作者： Horváth, László Rudas, Imre J. Jezernik, Karel Institute of Intelligent Engineering Systems John von Neumann Faculty of Informatics Óbuda University Budapest Hungary Institute of Robotics Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia

ISBN: (纸本)9781424468867

One of the main recent achievements in engineering is description of complex products and their physical environment in a single object model. This model has capabilities to serve engineering from the first specification of a product to recycling. New research programs were needed in order to establish a new style of engineering where engineers communicate model creation and application procedures. The authors joined to these efforts and developed new modeling methods for the above purpose. In this paper they introduce some of these methods considering needs by the complex and knowledge intensive engineering for robot systems. Paper starts with an outline of application of virtual spaces in robot system modeling. Following this, a content based contextual object definition is explained considering robotic application. Next, application of human control by contextual spaces for adaptive definition of engineering objects and the related control of product definition are shown. Finally, object space for robot system is outlined as application related issue of the proposed modeling. © 2010 IEEE.

关键词： Industrial robots

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Facial Expression Recognition Model Depending on Optimized Support Vector Machine

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computers, Materials & Continua 2023年第7期76卷 499-515页

作者： Amel Ali Alhussan Fatma M.Talaat El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Doaa Sami Khafaga Mona Alnaggar Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Machine Learning&Information Retrieval Department Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikh33516Egypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Robotics and Intelligent Machines Department Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikh33516Egypt

In computer vision,emotion recognition using facial expression images is considered an important research *** learning advances in recent years have aided in attaining improved results in this *** to recent studies,multiple facial expressions may be included in facial photographs representing a particular type of *** is feasible and useful to convert face photos into collections of visual words and carry out global expression *** main contribution of this paper is to propose a facial expression recognitionmodel(FERM)depending on an optimized Support Vector Machine(SVM).To test the performance of the proposed model(FERM),AffectNet is *** uses 1250 emotion-related keywords in six different languages to search three major search engines and get over 1,000,000 facial photos *** FERM is composed of three main phases:(i)the Data preparation phase,(ii)Applying grid search for optimization,and(iii)the categorization *** discriminant analysis(LDA)is used to categorize the data into eight labels(neutral,happy,sad,surprised,fear,disgust,angry,and contempt).Due to using LDA,the performance of categorization via SVM has been obviously *** search is used to find the optimal values for hyperparameters of SVM(C and gamma).The proposed optimized SVM algorithm has achieved an accuracy of 99%and a 98%F1 score.

关键词： Facial expression recognition machine learning linear dis-criminant analysis(LDA) support vector machine(SVM) grid search

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Corrigendum to “Multi population-based chaotic differential evolution for multi-modal and multi-objective optimization problems” Appl. Soft Comput. 132 (2023) 109909

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Applied Soft Computing 2025年 169卷

作者： Hafiz Tayyab Rauf Jiechao Gao Ahmad Almadhor Ali Haider Yu-Dong Zhang Fadi Al-Turjman Centre for Smart Systems AI and Cybersecurity Staffordshire University Stoke-on-Trent United Kingdom Department of Computer Science University of Virginia USA Department of Computer Engineering and Networks College of Computer and Information Sciences Jouf University Sakaka 72388 Saudi Arabia Department of Computer Science University of Gujrat Gujrat Pakistan School of Informatics University of Leicester Leicester LE1 7RH UK Research Center for AI and IoT Faculty of Engineering University of Kyrenia Mersin 10 Turkey Artificial Intelligence Engineering Dept. AI and Robotics Institute Near East University Mersin 10 Turkey

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Sufficient real-time analysis for an engine control unit 13

Sufficient real-time analysis for an engine control unit

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21st International Conference on real-time Networks and systems, RTNS 2013

作者： Pollex, Victor Feld, Timo Slomka, Frank Margull, Ulrich Mader, Ralph Wirrer, Gerhard Institute of Embedded Systems/Real-Time Systems Ulm University 89069 Ulm Germany Faculty of Electrical Engineering and Computer Science Ingolstadt University of Applied Sciences Esplanade 10 85049 Ingolstadt Germany Continental AG Siemensstr. 12 93055 Regensburg Germany

ISBN: (纸本)9781450320580

In an engine control unit two types of tasks are executed. On the one hand the time-triggered tasks, which are activated periodically after a specific amount of time has elapsed. On the other hand engine-triggered tasks, which are activated whenever the engine arrives at a specific angular position. In consequence the frequency that an engine-triggered task is activated changes with the speed of the engine. Additionally, the execution time of both time triggered and engine-triggered tasks may also depend on the speed of the engine. The existing methods of real-time analysis are not capable of addressing this behavior adequately. In this paper we present a sufficient real-time analysis for an engine control unit. The analysis considers the changing speed of the engine over time and subsequently the changing frequency of task activations in conjunction with the varying execution times. © 2013 ACM.

关键词： Engines

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Stability Analysis and Performance Evaluation of Delayed Bilateral Telerobotic systems over a Lossy Communication Channel

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Journal of systems science & Complexity 2021年第1期34卷 157-179页

作者： BAKHSHI Ali ALFI Alireza TALEBI Heidar Ali SOURATGAR Amir Aboulfazl YOUSEFI Mahdi Faculty of Electrical and Robotic Engineering Shahrood University of TechnologyShahrood 36199-95161Iran Power Plants Control Systems Technology Development Plan Department of monitoring and ControlNiroo Research InstituteTehran 14665-517Iran Real-Time and Robotics system Laboratory Faculty of Electrical EngineeringAmirkabir University of TechnologyHafez AvenueTehran 15914Iran Electrical and Computer Engineering Department The University of British Columbia2385East MallVan couverBC V6T 1Z4Canada

The focus of this paper is to address a novel control technique for stability and transparency analysis of bilateral telerobotic systems in the presence of data loss and time delay in the communication channel. Different control strategies have been reported to compensate the effects of time delay in the communication channel;however, most of them result in poor performance under data loss. First, a model for data loss is proposed using a finite series representation of a set of periodic continuous *** improve the performance and data reconstruction, a holder circuits is also introduced. The passivity of the overall system is provided via the wave variable technique based on the proposed model for the data loss. The stability analysis of the system is then derived using the Lyapunov theorem under the time delay and the data loss. Finally, experimental results are given to illustrate the capability of the proposed control technique.

关键词： Lossy channel passivity stability telerobotic transparency

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A system for facial reconstruction using distraction and symmetry considerations

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International Congress Series 2001年第C期1230卷 62-67页

作者： Burgert, O. Salb, T. Gockel, T. Dillmann, R. Hassfeld, S. Brief, J. Krempien, R. Walz, S. Mühling, J. Institute of Real-Time Computer Systems and Robotics University of Karlsruhe D-76128 Karlsruhe Gebaude 07.21 Kaiserstr. 12 Germany Department of Oral and Maxillofacial Surgery University of Heidelberg D-69120 Heidelberg Germany Department of Radiology University of Heidelberg D-69120 Heidelberg Germany

The goal of the system presented in this paper is to support several facial surgeries that are aiming to transform an unsymmetrical face to a symmetric one. There are two main techniques to achieve this goal: distraction of the lower jaw and adding or removing tissue or bone at certain facial regions. Both planning tasks are done based on segmented CT or MRI data. The distraction of the lower jaw is simulated by cutting the jaw, moving it in 3D along a distraction axis and choosing a distractor for this procedure after determining, which is the best result. Furthermore, we are working on consideration of soft tissue movement so the patient can see what he or she will look like after the surgery. For supporting implants in craniofacial surgery, we are proposing a tool based on symmetry considerations. Nowadays, if implants have to be fitted to the patient's bone, they are handmade while the surgery is running. This is quite time consuming and it would be helpful to shorten this procedure by producing the implants preoperatively. Our system allows to determine regions where implants should be set and proposes an initial contour for the implants. © 2001 Elsevier science B.V.

关键词： Distraction Face Symmetry

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Poster: Disolv - Dataflow-Centric Integrated Simulation of Large-Scale VANETs

Poster: Disolv - Dataflow-Centric Integrated Simulation of L...

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IEEE Vehicular Networking Conference (VNC)

作者： Nagacharan Teja Tangirala Christoph Sommer Alois Knoll Chair of Robotics Artificial Intelligence and Real-time Systems Technical University of Munich Munich Germany Faculty of Computer Science TU Dresden Germany

ISBN: (数字)9798350362701

ISBN: (纸本)9798350362718

Large-scale VANET simulations are computationally intensive. Disolv is a simulation architecture proposed to support city-scale VANET studies. This paper describes software decisions taken to realize a concrete implementation of Disolv. We describe a common workflow and provide guidelines on best utilizing Disolv. Finally, a small experiment demonstrates the performance gains by comparing the execution times with state-of-the-art VANET simulators.

关键词： Computational modeling Vehicular ad hoc networks computer architecture Performance gain Software Guidelines

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Monkeypox Detection with Deep-Learning and Ensemble of Features: A Study 4

Monkeypox Detection with Deep-Learning and Ensemble of Featu...

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4th International Conference on Technological Advancements in Computational sciences, ICTACS 2024

作者： Rajinikanth, Venkatesan Taniar, David Damaševičius, Robertas Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Division of Research and Innovation Department of Computer Science and Engineering TN Chennai602105 India Monash University Faculty of Information Technology MelbourneVIC3800 Australia Centre of Real Time Computer Systems Kaunas University of Technology Kaunas44249 Lithuania

ISBN: (纸本)9798350387490

There is a growing global prevalence of infectious diseases in the human population and it is imperative to have precise diagnosis and therapy in order to effectively cure these diseases. Monkeypox (Mpox) is an infectious disease that can cause varying degrees of skin infection, ranging from minor to severe. The recent spread of Mpox has been confirmed as Public Health Emergency of International Concern (PHEIC) due to its large infection rate. This study aims to develop a deep-learning (DL) scheme for Mpox identification. To enhance the detection accuracy, this study considered preprocessed skin images for the analysis and employed the binary classification with Ensemble of Deep-Features (EDF) using 5-fold cross validation. The outcome of this investigation validate that the suggested deep learning tool enables the attainment of a detection accuracy of 100% on the augmented images from the Monkeypox Skin Images Dataset (MSID). Compared to the existing results in the literature, this research provides a significant result on the chosen MSID database. © 2024 IEEE.

关键词： Classification Ensemble of deep-features Healthcare Illness Monkeypox

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Brownian-Distribution Algorithm Optimized Efficientnet Features for Normal/Glaucoma Retinal Fundus Image Classification 4

Brownian-Distribution Algorithm Optimized Efficientnet Featu...

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4th International Conference on Technological Advancements in Computational sciences, ICTACS 2024

作者： Rajinikanth, Venkatesan Damaševičius, Robertas Taniar, David Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Division of Research and Innovation Department of Computer Science and Engineering TN Chennai602105 India Kaunas University of Technology Centre of Real Time Computer Systems Kaunas44249 Lithuania Monash University Faculty of Information Technolog MelbourneVIC3800 Australia

ISBN: (纸本)9798350387490

The eye is a critical sensory organ in human physiology, and any abnormality in the eye will result in vision problems ranging from mild to severe. Image-guided methods are frequently employed to conduct clinical-level eye health assessments, and retinal fundus imaging (RFI) is among the most frequently employed modalities for eye analysis. This research aims to implement a Deep-Learning (DL)-based technique for classifying the Normal/Glaucoma RFI database. This scheme consist following phases, image collection and labelling, feature extraction with EfficientNet, feature optimization using a novel Brownian-Distribution Algorithm (BDA), and binary classification with 3-fold cross validation. Initially, the proposed approach performs the classification with EfficientNet-model features and documents the results. Subsequently, the BDA is employed to optimize the features in order to identify the most significant ones. Serial features-fusion is then implemented to generate a new features vector. The results of this study confirm that this approach is capable of achieving a 100 % accuracy rate when the BDA optimized feature vector is utilized for the classification task. In the future, this application may be utilized to analyze the RFI collected from hospital. © 2024 IEEE.

关键词： Ophthalmology

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