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2012 20th Mediterranean Conference on control and Automation, MED 2012

作者： Madonski, Rafal Herman, Przemyslaw Control and Systems Engineering Faculty of Computer Science Poznan University of Technology ul. Piotrowo 3a 61-138 Poznan Poland

ISBN: (纸本)9781467325318

This paper is focused on a comparison between Model-Free control and Active Disturbance Rejection control methods. These two techniques do not require a detailed mathematical description of the system, since they base on the on-line estimation and rejection of the unmodeled elements of the dynamics. Robustness of the closed-loop control system (against external perturbation) and its relation to energy consumption is discussed here. A model of a planar manipulator is used in the conducted case study as an exemplary plant. Conclusions are supported with results obtained with numerical simulations. © 2012 IEEE.

关键词： Closed loop control systems

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About balance property of the p-ary generalized self-shrinking generator sequence

About balance property of the p-ary generalized self-shrinki...

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14th International Conference on computer systems and Technologies, CompSysTech 2013

作者： Tasheva, Antoniya Nakov, Ognyan Tasheva, Zhaneta Department of Computer Systems and Control Technical University of Sofia Bulgaria National Military University Faculty of Artillery AAD and KI University of Shumen Bulgaria

ISBN: (纸本)9781450320214

The Pseudo Random Sequences (PRSs) have been widely used for encrypting sensitive data in wireless networks, communication systems and other. The balance property of the previously proposed p-ary Generalized Self-Shrinking Generator (pGSSG) is examined. The theoretical value of the balance property of the sequences produced by the pGSSG is established and proven. Test results for it are compared to the theoretical ones. It is shown that the pGSSG sequences have the needed properties to be considered as balanced. © 2013 ACM.

关键词： Cryptography

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A comparison of particle swarm optimization and differential ant stigmergy algorithm

A comparison of particle swarm optimization and differential...

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2012 16th International Conference on System Theory, control and Computing, ICSTCC 2012

作者： Şerbencu, A.E. Şerbencu, A. Control Systems and Electrical Engineering Departament Automatic Computer Science Electrical and Electronic Engineering Faculty Dunarea de Jos University of Galati Romania

ISBN: (纸本)9786068348483

Differential Ant Stigmergy Algorithm (DASA) is a recent meta-heuristic method which represents an adaptation of Ant Colony Optimization (ACO) to continuous optimization problems. Other adaptations of ACO to continuous optimization exist but DASA seems to be very efficient for the class of highdimension real-parameters optimization problems, becoming a competitor to more classical methods such as Particle Swarm Optimization (PSO). The PSO is a meta-heuristic which is also inspired from insects' life as ACO. Even both methods use a population of entities, the memory of PSO is larger as those of DASA. DASA uses just one current solution around which the population search and the difference that generated last improvement. PSO stores the previous best position and velocity of every particle. This paper attempts to examine if an elitist version of DASA has at least the same effectiveness (finding the true global solution) as PSO, but with significantly better efficiency (less function evaluation). The performance comparison of DASA and PSO is implemented using a set of six test functions well known for their difficulty. © 2012 Dunarea de Jos University.

关键词： Ant colony optimization

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Java implementation of DTV services on the android platform

Java implementation of DTV services on the android platform

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2012 IEEE 2nd International Conference on Consumer Electronics - Berlin, ICCE 2012

作者： Vidakovic, Milan Kuzmanovic, Nikola Savic, Milan Mihic, Velibor Control and Computing Department Faculty of Technical Sciences Novi Sad Serbia RT-RK Institute for Computer Based Systems Novi Sad Serbia

ISBN: (纸本)9781467315470

This paper gives an overview of both specification and implementation details for integration of DTV services into the Android OS, using Java programming language. Since Java programming language is the language of choice for application development in the Android OS, we have proposed and implemented DTV services in this programming language. Java cannot be used to implement the entire DTV services functionality, so the native library has been developed to implement performance critical parts. The proposed Java API offers Java developers a wrapper around the native implementation, which encapsulates all relevant data structures and functions regarding DTV content manipulation. We have demonstrated our proposal on four key elements of DTV services: channel list, EPG, teletext, and subtitles. © 2012 IEEE.

关键词： Java programming language

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Visualization of DTV related data on android platform

Visualization of DTV related data on android platform

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2012 IEEE 2nd International Conference on Consumer Electronics - Berlin, ICCE 2012

作者： Kovacevic, Marko Kovacevic, Branimir Milanovic, Milos Maruna, Tomislav Control and Computing Department Faculty of Technical Sciences Novi Sad Serbia RT-RK Institute for Computer Based Systems Novi Sad Serbia

ISBN: (纸本)9781467315470

This paper presents a solution for visualization of DTV related data on devices with Android OS. The main goal was to display DTV related data on Android graphical layer using native C/C++ code. We have visualized three distinctive DTV related data types: subtitles, multimedia (MHEG) and teletext information, all collected by the DTV middleware software layer. The DTV middleware is responsible for providing all of the DTV related features and is written in C/C++ native code. The Android DTV application communicates with DTV middleware through DTV Java service. The DTV Java service and the DTV middleware are connected through the JNI layer, which converts the DTV related data from C/C++ structures to Java objects and vice versa. All rendering is done in C/C++ native code which provides sufficient speed of program execution and accomplishes high-performance demands requested by our project. © 2012 IEEE.

关键词： Middleware

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Metaheuristic Optimization for Mobile Robot Navigation Based on Path Planning

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computers, Materials & Continua 2022年第11期73卷 2241-2255页

作者： El-Sayed M.El-kenawy Zeeshan Shafi Khan Abdelhameed Ibrahim Bandar Abdullah Aloyaydi Hesham Arafat Ali Ali E.Takieldeen Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Science Department College of Engineering and Computer ScienceMustaqbal UniversityBuraidahSaudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Mechanical Engineering Qassim UniversityBuraidah51452Saudi Arabia

Recently,the path planning problem may be considered one of the most interesting researched topics in autonomous *** is why finding a safe path in a cluttered environment for a mobile robot is a significant requisite.A promising route planning for mobile robots on one side saves time and,on the other side,reduces the wear and tear on the robot,saving the capital *** route planning methods for the mobile robot have been developed and *** to our best knowledge,no method offers an optimum solution among the existing *** Swarm Optimization(PSO),a numerical optimization method based on the mobility of virtual particles in a multidimensional space,is considered one of the best algorithms for route planning under constantly changing environmental *** the researchers,reactive methods are increasingly common and extensively used for the training of neural networks in order to have efficient route planning for mobile *** paper proposes a PSO Weighted Grey Wolf Optimization(PSOWGWO)*** is a hybrid algorithm based on enhanced Grey Wolf Optimization(GWO)with *** order to measure the statistical efficiency of the proposed algorithm,Wilcoxon rank-sum and ANOVA statistical tests are *** experimental results demonstrate a 25%to 45%enhancement in terms of Area Under Curve(AUC).Moreover,superior performance in terms of data size,path planning time,and accuracy is demonstrated over other state-of-the-art techniques.

关键词： Mobile robot swarm optimization robot route planning neural networks

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Urban Electric Vehicle Charging Station Placement Optimization with Graylag Goose Optimization Voting Classifier

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computers, Materials & Continua 2024年第7期80卷 1163-1177页

作者： Amel Ali Alhussan Doaa Sami Khafaga El-Sayed M.El-kenawy Marwa M.Eid Abdelhameed Ibrahim Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute for Engineering and TechnologyMansoura35511Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt

To reduce the negative effects that conventional modes of transportation have on the environment,researchers are working to increase the use of electric *** demand for environmentally friendly transportation may be hampered by obstacles such as a restricted range and extended rates of *** establishment of urban charging infrastructure that includes both fast and ultra-fast terminals is essential to address this ***,the powering of these terminals presents challenges because of the high energy requirements,whichmay influence the quality of *** the maximum hourly capacity of each station based on its geographic location is necessary to arrive at an accurate estimation of the resources required for charging *** is vital to do an analysis of specific regional traffic patterns,such as road networks,route details,junction density,and economic zones,rather than making arbitrary conclusions about traffic *** vehicle traffic is simulated using this data and other variables,it is possible to detect limits in the design of the current traffic engineering ***,the binary graylag goose optimization(bGGO)algorithm is utilized for the purpose of feature ***,the graylag goose optimization(GGO)algorithm is utilized as a voting classifier as a decision algorithm to allocate demand to charging stations while taking into consideration the cost variable of traffic *** on the results of the analysis of variance(ANOVA),a comprehensive summary of the components that contribute to the observed variability in the dataset is *** results of the Wilcoxon Signed Rank Test compare the actual median accuracy values of several different algorithms,such as the voting GGO algorithm,the voting grey wolf optimization algorithm(GWO),the voting whale optimization algorithm(WOA),the voting particle swarm optimization(PSO),the voting firefly algorithm(FA),and the voting genetic algori

关键词： Electric vehicle graylag goose optimization metaheuristics optimization machine learning

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SightAid: empowering the visually impaired in the Kingdom of Saudi Arabia (KSA) with deep learning-based intelligent wearable vision system

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Neural Computing and Applications 2024年第19期36卷 11075-11095页

作者： Talaat, Fatma M. Farsi, Mohammed Badawy, Mahmoud Elhosseini, Mostafa Machine Learning Department Faculty of Artificial Intelligence Kafrelsheikh University Kafrelsheikh Egypt Faculty of Computer Science & amp Engineering New Mansoura University Gamasa35712 Egypt College of Computer Science and Engineering Taibah University Yanbu46421 Saudi Arabia Computers and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura35516 Egypt Computer Science and Information Department Applied College Taibah University Madinah46537 Saudi Arabia

In the Kingdom of Saudi Arabia, visual impairment poses significant challenges for approximately 17.5% of school-aged children, mainly due to refractive errors. These challenges extend to everyday navigation, environmental interaction, and overall life quality. Motivated by the desire to empower visually impaired individuals, who face navigational limitations, difficulties in object recognition, and inadequate assistance from traditional technologies, we propose SightAid. This innovative wearable vision system utilizes a deep learning-based framework, addressing the gaps left by current assistive solutions. Traditional methods, such as canes and GPS devices, often fail to meet the nuanced and dynamic needs of the visually impaired, especially in accurately identifying objects, understanding complex environments, and providing essential real-time feedback for independent navigation. SightAid comprises a seven-phase framework involving data collection, preprocessing, and training of a sophisticated deep neural network with multiple convolutional and fully connected layers. This system is integrated into smart glasses with augmented reality displays, enabling real-time object detection and recognition. Interaction with users is facilitated through audio or haptic feedback, informing them about the location and type of objects detected. A continuous learning mechanism, incorporating user feedback and new data, ensures the system's ongoing refinement and adaptability. For performance assessment, we utilized the MNIST dataset, and an Indoor Objects Detection dataset tailored for the visually impaired, featuring images of everyday objects crucial for safe indoor navigation. SightAid demonstrates remarkable performance with accuracy up to 0.9874, recall values between 0.98 and 0.99, F1-scores ranging from 0.98 to 0.99, and AUC-ROC values reaching as high as 0.9999. These metrics significantly surpass those of traditional methods, highlighting SightAid's potential to substan

关键词： Object recognition

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A Non-Parametric Identification Scheme of SISO-LTI systems Using Blaschke-Products∗ 32

A Non-Parametric Identification Scheme of SISO-LTI Systems U...

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32nd Mediterranean Conference on control and Automation, MED 2024

作者： Ungvari, Gergo Soumelidis, Alexandros Dozsa, Tamas Eötvös Loránd University Faculty of Informatics Department of Numerical Analysis Budapest Hungary HUN-REN Institute for Computer Science and Control Systems and Control Laboratory Budapest Hungary

ISBN: (纸本)9798350395440

In this manuscript, a novel algorithm is presented for the identification of single input single output linear time invariant (SISO-LTI) systems. The proposed method is able to find poles of the transfer function describing the system without any assumptions on the system order. The results presented in this paper generalize earlier identification schemes based on expansions of the transfer function using generalized rational orthogonal basis functions (GOBFs). These previous methods depended on a convergent sequence constructed from the coefficients of the orthogonal GOBF expansion. The first contribution of this study is showing that a wider family of functions may be used to construct similar pole finding algorithms. The aforementioned previous approaches can be interpreted as special cases of the results presented here. In addition, using this generalization a new pole identification scheme is proposed using finite Blaschke-products. Through experiments, the practical utility of this scheme is verified when compared to earlier variations of the pole finding scheme. © 2024 IEEE.

关键词： Poles

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A rule-based method of spike detection and suppression and its application in a control system for additive manufacturing

A rule-based method of spike detection and suppression and i...

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作者： Rafajlowicz, Wojciech Rafajlowicz, Ewaryst Faculty of Electronics Department of Computer Engineering Wroclaw University of Science and Technology Wroclaw Poland Faculty of Electronics Department of Control Systems and Mechatronics Wroclaw University of Science and Technology Wroclaw Poland

We propose a rule-based method of spike detection and suppression method. This method is an extension of the jump detector that was proposed by the second author, M. Pawlak and A. Steland. Its elementary properties are established, and the example of application for a laser power control in a 3-dimensional additive manufacturing process is discussed. Copyright © 2017 John Wiley & Sons, Ltd.

关键词： 3D printers

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