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  Subjects -> ELECTRONICS (Total: 155 journals)
Showing 1 - 200 of 277 Journals sorted alphabetically
Advances in Biosensors and Bioelectronics     Open Access   (Followers: 5)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 7)
Advances in Microelectronic Engineering     Open Access   (Followers: 9)
Advances in Power Electronics     Open Access   (Followers: 19)
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 176)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 22)
Annals of Telecommunications     Hybrid Journal   (Followers: 7)
Archives of Electrical Engineering     Open Access   (Followers: 11)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 7)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 25)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 16)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 30)
Biomedical Instrumentation & Technology     Hybrid Journal   (Followers: 6)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 9)
BULLETIN of National Technical University of Ukraine. Series RADIOTECHNIQUE. RADIOAPPARATUS BUILDING     Open Access   (Followers: 1)
Bulletin of the Polish Academy of Sciences : Technical Sciences     Open Access  
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 40)
China Communications     Full-text available via subscription   (Followers: 7)
Circuits and Systems     Open Access   (Followers: 13)
Consumer Electronics Times     Open Access   (Followers: 6)
Control Systems     Hybrid Journal   (Followers: 86)
Edu Elektrika Journal     Open Access  
Electronic Design     Partially Free   (Followers: 69)
Electronic Markets     Hybrid Journal   (Followers: 7)
Electronic Materials Letters     Hybrid Journal   (Followers: 1)
Electronics     Open Access   (Followers: 52)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 8)
Electronics For You     Partially Free   (Followers: 55)
Electronics Letters     Hybrid Journal   (Followers: 23)
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 39)
Energy Harvesting and Systems : Materials, Mechanisms, Circuits and Storage     Hybrid Journal   (Followers: 2)
Energy Storage Materials     Full-text available via subscription   (Followers: 1)
EPJ Quantum Technology     Open Access  
EURASIP Journal on Embedded Systems     Open Access   (Followers: 12)
Facta Universitatis, Series : Electronics and Energetics     Open Access  
Foundations and Trends® in Communications and Information Theory     Full-text available via subscription   (Followers: 7)
Foundations and Trends® in Signal Processing     Full-text available via subscription   (Followers: 5)
Frequenz     Hybrid Journal   (Followers: 1)
Frontiers of Optoelectronics     Hybrid Journal   (Followers: 1)
Geoscience and Remote Sensing, IEEE Transactions on     Hybrid Journal   (Followers: 118)
Giroskopiya i Navigatsiya     Open Access  
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 3)
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 48)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 38)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 26)
IEEE Journal of the Electron Devices Society     Open Access   (Followers: 7)
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits     Hybrid Journal   (Followers: 1)
IEEE Power Electronics Magazine     Full-text available via subscription   (Followers: 44)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 37)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 46)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 13)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 29)
IEEE Transactions on Electron Devices     Hybrid Journal   (Followers: 10)
IEEE Transactions on Information Theory     Hybrid Journal   (Followers: 20)
IEEE Transactions on Power Electronics     Hybrid Journal   (Followers: 46)
IEEE Transactions on Signal and Information Processing over Networks     Full-text available via subscription   (Followers: 6)
IEICE - Transactions on Electronics     Full-text available via subscription   (Followers: 12)
IEICE - Transactions on Information and Systems     Full-text available via subscription   (Followers: 7)
IET Microwaves, Antennas & Propagation     Hybrid Journal   (Followers: 13)
IET Power Electronics     Hybrid Journal   (Followers: 22)
IET Wireless Sensor Systems     Hybrid Journal   (Followers: 16)
IETE Journal of Education     Open Access   (Followers: 4)
IETE Journal of Research     Open Access   (Followers: 8)
IETE Technical Review     Open Access   (Followers: 9)
Industrial Electronics, IEEE Transactions on     Hybrid Journal   (Followers: 28)
Industry Applications, IEEE Transactions on     Hybrid Journal   (Followers: 6)
Informatik-Spektrum     Hybrid Journal   (Followers: 1)
Instabilities in Silicon Devices     Full-text available via subscription  
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 8)
International Journal of Advanced Research in Computer Science and Electronics Engineering     Open Access   (Followers: 15)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 7)
International Journal of Aerospace Innovations     Full-text available via subscription   (Followers: 17)
International Journal of Antennas and Propagation     Open Access   (Followers: 9)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 4)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 4)
International Journal of Computer & Electronics Research     Full-text available via subscription   (Followers: 1)
International Journal of Control     Hybrid Journal   (Followers: 14)
International Journal of Electronics     Hybrid Journal   (Followers: 2)
International Journal of Electronics & Data Communication     Open Access   (Followers: 8)
International Journal of Electronics and Telecommunications     Open Access   (Followers: 11)
International Journal of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 1)
International Journal of High Speed Electronics and Systems     Hybrid Journal  
International Journal of Image, Graphics and Signal Processing     Open Access   (Followers: 8)
International Journal of Nano Devices, Sensors and Systems     Open Access   (Followers: 6)
International Journal of Nanoscience     Hybrid Journal   (Followers: 2)
International Journal of Numerical Modelling:Electronic Networks, Devices and Fields     Hybrid Journal   (Followers: 3)
International Journal of Power Electronics     Hybrid Journal   (Followers: 12)
International Journal of Review in Electronics & Communication Engineering     Open Access   (Followers: 4)
International Journal of Sensors, Wireless Communications and Control     Hybrid Journal   (Followers: 7)
International Journal of Systems, Control and Communications     Hybrid Journal   (Followers: 4)
International Journal of Wireless and Microwave Technologies     Open Access   (Followers: 5)
International Journal on Communication     Full-text available via subscription   (Followers: 12)
International Journal on Electrical and Power Engineering     Full-text available via subscription   (Followers: 7)
International Transaction of Electrical and Computer Engineers System     Open Access   (Followers: 2)
Journal of Biosensors & Bioelectronics     Open Access   (Followers: 4)
Journal of Advanced Dielectrics     Open Access   (Followers: 1)
Journal of Artificial Intelligence     Open Access   (Followers: 6)
Journal of Circuits, Systems, and Computers     Hybrid Journal   (Followers: 2)
Journal of Computational Intelligence and Electronic Systems     Full-text available via subscription  
Journal of Electrical and Electronics Engineering Research     Open Access   (Followers: 15)
Journal of Electrical Bioimpedance     Full-text available via subscription   (Followers: 2)
Journal of Electrical Engineering & Electronic Technology     Hybrid Journal   (Followers: 7)
Journal of Electromagnetic Analysis and Applications     Open Access   (Followers: 6)
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 5)
Journal of Electronic Design Technology     Full-text available via subscription   (Followers: 3)
Journal of Electronics (China)     Hybrid Journal   (Followers: 4)
Journal of Energy Storage     Full-text available via subscription  
Journal of Field Robotics     Hybrid Journal   (Followers: 2)
Journal of Guidance, Control, and Dynamics     Full-text available via subscription   (Followers: 109)
Journal of Intelligent Procedures in Electrical Technology     Open Access   (Followers: 3)
Journal of Low Power Electronics     Full-text available via subscription   (Followers: 6)
Journal of Low Power Electronics and Applications     Open Access   (Followers: 3)
Journal of Microwaves, Optoelectronics and Electromagnetic Applications     Open Access   (Followers: 9)
Journal of Nuclear Cardiology     Hybrid Journal  
Journal of Optoelectronics Engineering     Open Access   (Followers: 2)
Journal of Physics B: Atomic, Molecular and Optical Physics     Hybrid Journal   (Followers: 30)
Journal of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 7)
Journal of Semiconductors     Full-text available via subscription   (Followers: 2)
Journal of Sensors     Open Access   (Followers: 18)
Journal of Signal and Information Processing     Open Access   (Followers: 8)
Jurnal Rekayasa Elektrika     Open Access  
Learning Technologies, IEEE Transactions on     Hybrid Journal   (Followers: 14)
Magnetics Letters, IEEE     Hybrid Journal   (Followers: 6)
Metrology and Measurement Systems     Open Access   (Followers: 4)
Microelectronics and Solid State Electronics     Open Access   (Followers: 13)
Nanotechnology Magazine, IEEE     Full-text available via subscription   (Followers: 32)
Nanotechnology, Science and Applications     Open Access   (Followers: 3)
Networks: an International Journal     Hybrid Journal   (Followers: 4)
Open Journal of Antennas and Propagation     Open Access   (Followers: 4)
Optical Communications and Networking, IEEE/OSA Journal of     Full-text available via subscription   (Followers: 13)
Paladyn, Journal of Behavioral Robotics     Open Access  
Progress in Quantum Electronics     Full-text available via subscription   (Followers: 7)
Pulse     Full-text available via subscription   (Followers: 5)
Radiophysics and Quantum Electronics     Hybrid Journal   (Followers: 2)
Recent Patents on Electrical & Electronic Engineering     Full-text available via subscription   (Followers: 5)
Recent Patents on Telecommunications     Full-text available via subscription   (Followers: 2)
Research & Reviews : Journal of Embedded System & Applications     Full-text available via subscription   (Followers: 3)
Security and Communication Networks     Hybrid Journal   (Followers: 3)
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of     Hybrid Journal   (Followers: 46)
Semiconductors and Semimetals     Full-text available via subscription  
Sensing and Imaging : An International Journal     Hybrid Journal   (Followers: 1)
Services Computing, IEEE Transactions on     Hybrid Journal   (Followers: 5)
Software Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 54)
Solid-State Circuits Magazine, IEEE     Hybrid Journal   (Followers: 9)
Solid-State Electronics     Hybrid Journal   (Followers: 6)
Superconductor Science and Technology     Hybrid Journal   (Followers: 2)
Synthesis Lectures on Power Electronics     Full-text available via subscription   (Followers: 1)
Technical Report Electronics and Computer Engineering     Open Access  
Telematique     Open Access  
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)     Open Access   (Followers: 5)
Universal Journal of Electrical and Electronic Engineering     Open Access   (Followers: 5)
Visión Electrónica : algo más que un estado sólido     Open Access  
Wireless and Mobile Technologies     Open Access   (Followers: 5)
Women in Engineering Magazine, IEEE     Full-text available via subscription   (Followers: 11)
Електротехніка і Електромеханіка     Open Access  

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Journal Cover International Journal of Computational Vision and Robotics
  [SJR: 0.123]   [H-I: 4]   [4 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1752-9131 - ISSN (Online) 1752-914X
   Published by Inderscience Publishers Homepage  [418 journals]
  • Machine learning technique for object detection based on SURF feature
    • Authors: Amin Mohamed Ahsan, Dzulkifli Bin Mohamad
      Pages: 6 - 19
      Abstract: Local features that based on interest points have received a great interest in computer vision field and they play an important role in many applications, such as object recognition, tracking, and image retrieval. These features have proven to be invariant against the geometric and photometric transformations and proven to be robust under different types of image disturbances. Matching technique is usually employed in this field to recognise the object. Yet, it is not suitable for some applications such as searching for an isolated object, part-based object recognition, and object categorisation. A model for object detection with an artificial neural network (ANN) to overcome such shortages is proposed. Two datasets are prepared to be used for learning; one for human faces and the other for the cars. Features are extracted using speeded-up robust feature (SURF). The proposed model is evaluated using two benchmark datasets, Caltech101 and VOC2009. The obtained results are encouraging.
      Keywords: object detection; interest point feature; speeded-up robust features; SURF; artificial neural networks; ANNs; machine learning; computer vision
      Citation: International Journal of Computational Vision and Robotics, Vol. 7, No. 1/2 (2017) pp. 6 - 19
      PubDate: 2017-01-01T23:20:50-05:00
      DOI: 10.1504/IJCVR.2017.081232
      Issue No: Vol. 7, No. 1/2 (2017)
       
  • A hybrid differential evolution algorithm for parameter tuning of evolving
           spiking neural network
    • Authors: Abdulrazak Yahya Saleh, Siti Mariyam Shamsuddin, Haza Nuzly Abdull Hamed
      Pages: 20 - 34
      Abstract: In this paper, differential evolution (DE) has been utilised to solve the problem of tuning the parameters of evolving spiking neural network (ESNN) manually. As ESNN is sensitive to its parameters as other models, optimal integration of parameters leads to better classification accuracy. A hybrid differential evolution for parameter tuning of evolving spiking neural network (DEPT-ESNN) is presented for parameter optimisation for determining the optimal number of evolving spiking neural network (ESNN) parameters: modulation factor (Mod), similarity factor (Sim) and threshold factor (C). The best values of parameters are adaptively selected by differential evolution (DE) to avoid selecting suitable values for a particular problem by trial-and-error approach. Several standard datasets from UCI machine learning are used for evaluating the performance of this hybrid model. It has been found that the classification accuracy and other performance measures can be increased by using hybrid method with differential evolution DEPT_ESNN.
      Keywords: differential evolution; evolving spiking neural networks; eSNN; parameter tuning; modulation factor; similarity factor; evolving SNNs; threshold factor
      Citation: International Journal of Computational Vision and Robotics, Vol. 7, No. 1/2 (2017) pp. 20 - 34
      PubDate: 2017-01-01T23:20:50-05:00
      DOI: 10.1504/IJCVR.2017.081231
      Issue No: Vol. 7, No. 1/2 (2017)
       
  • Enhancing pedestrian detection using optical flow for surveillance
    • Authors: Redwan A.K. Noaman, Mohd Alauddin Mohd Ali, Nasharuddin Zainal
      Pages: 35 - 48
      Abstract: Optical flow can be used to segment a moving object from its backgrounds and track it. In this paper, an Enhanced Lucas-Kanade optical flow technique was used to improve human detection in terms of speed and accuracy. We combined object segmentation output with a human detector using an optical flow algorithm. The proposed technique used the optical flow to find the area of interest to complete object segmentation and use those results as an input for the human detector. This technique has been developed to be used in surveillance systems. Our experiments indicated that the proposed method was 37% faster and 118% more accurate than the standard Felzenszwalb (PFF) detector.
      Keywords: optical flow; Luckas-Kanade; Gaussian filter; human detection; PFF detector; pedestrian detection; surveillance; pedestrians; object detection; object segmentation
      Citation: International Journal of Computational Vision and Robotics, Vol. 7, No. 1/2 (2017) pp. 35 - 48
      PubDate: 2017-01-01T23:20:50-05:00
      DOI: 10.1504/IJCVR.2017.081246
      Issue No: Vol. 7, No. 1/2 (2017)
       
  • Adaptive pedestrian detection in infrared images using fuzzy enhancement
           and top-hat transform
    • Authors: Rajkumar Soundrapandiyan, P.V.S.S.R. Chandra Mouli
      Pages: 49 - 67
      Abstract: Infrared imaging is the order of the day. Infrared imaging finds its applications extensively in defence related areas. Pedestrian detection in IR image is a challenging problem. This paper addresses this problem using fuzzy-based enhancement followed by top-hat transform. The proposed method is adaptive in the sense that the parameters required for the process are calculated adaptively based on the image characteristics. Experimental results on the standard dataset show the robustness of the proposed method with 90% detection rate of pedestrians under different conditions and outperform the other existing methods.
      Keywords: small target detection; infrared images; fuzzy set enhancement; top-hat transform; local adaptive thresholding; pedestrian detection; pedestrians; fuzzy logic; object detection; fuzzy enhanced images
      Citation: International Journal of Computational Vision and Robotics, Vol. 7, No. 1/2 (2017) pp. 49 - 67
      PubDate: 2017-01-01T23:20:50-05:00
      DOI: 10.1504/IJCVR.2017.081237
      Issue No: Vol. 7, No. 1/2 (2017)
       
  • Analysing the attributes of fiducial markers for robust tracking in
           augmented reality applications
    • Authors: Ihsan Rabbi, Sehat Ullah, Muhammad Javed, Kartinah Zen
      Pages: 68 - 82
      Abstract: Tracking the position and orientation (pose) of camera is a critical challenge for different modern applications like augmented reality, robot navigation, robot localisation, and 3D modelling and surveillance systems. Marker-based tracking is the most active technique used for camera pose estimation. For the development of augmented reality applications different marker-based tracking toolkits are available that consists of specific set of fiducial markers. In this paper, various fiducial marker attributes are analysed that helps to increase the accuracy of marker-based tracking in augmented reality applications. Experimental modules are developed to calculate the optimal values for each attribute. The experiments are designed to analyse the marker size, distance between marker and camera, the marker speed along all axis, the environmental brightness, the lighting contrast in the environment and dependency of marker size on tracking distance. Experimental study shows that these attributes affect the marker tracking. Augmented reality researchers can use these findings for the development of more reliable and accurate application.
      Keywords: fiducial markers; augmented reality; ARToolKit; robust tracking; camera pose estimation; marker tracking
      Citation: International Journal of Computational Vision and Robotics, Vol. 7, No. 1/2 (2017) pp. 68 - 82
      PubDate: 2017-01-01T23:20:50-05:00
      DOI: 10.1504/IJCVR.2017.081238
      Issue No: Vol. 7, No. 1/2 (2017)
       
  • An enhanced localisation system for indoor environment using clustering
           technique
    • Authors: Abdulraqeb Alhammadi, Mohamad Yusoff Alias, Su-Wei Tan, Chamal Sapumohotti
      Pages: 83 - 98
      Abstract: Recently, indoor localisation techniques that use wireless local area network (WLAN) be a-con signals have gained much attention by the research communities. Many localisations methods are used to estimate the user of mobile device in indoor environments. However, the accuracy of these methods is affected by the nature of the test-bed environment. In this paper, we introduce an experimental test-bed in a typical indoor environment. We used a finger printing-based localisation algorithm to estimate the user location. The fingerprinting technique consists of two phases: offline phase and online phase. In the offline phase, calibration points are collected at certain places in floor to build a radio map. In the online phase, deterministic and probabilistic approaches are applied in order to get the correct estimated position of a mobile device. In deterministic approach, the position of mobile device estimated by K-nearest neighbour (KNN). In probabilistic approach, the position of mobile device estimated by Bayesian network (BN). Clustering technique is proposed to improve the system's accuracy and reduce the radio map size in the offline phase. We present experimental results that improved the system accuracy and reduce the size of radio map by using the proposed clustering technique.
      Keywords: Bayesian networks; deterministic approach; K-nearest neighbour; kNN; probabilistic approach; RF fingerprinting; clustering; localisation systems; indoor environments; wireless LANs; local area networks; WLAN; mobile devices
      Citation: International Journal of Computational Vision and Robotics, Vol. 7, No. 1/2 (2017) pp. 83 - 98
      PubDate: 2017-01-01T23:20:50-05:00
      DOI: 10.1504/IJCVR.2017.081241
      Issue No: Vol. 7, No. 1/2 (2017)
       
  • Pixel distribution-based features for offline Arabic handwritten word
           recognition
    • Authors: Qais Ali Al-Nuzaili, Siti Z. Mohd Hashim, Faisal Saeed, Mohammed Sayim Khalil, Dzulkifli Bin Mohamad
      Pages: 99 - 122
      Abstract: Handwritten word recognition is the ability of a computer to receive and interpret intelligible handwritten input. An important document recognition application is bank cheque processing. The Arabic bank cheque processing system has not been studied as much as Latin and Chinese systems. The domain of handwriting in the Arabic script presents unique technical challenges; proposing a model for feature extraction which combines multiple types of features most likely will help to improve the recognition rate. This work proposed a pixel distribution-based features model (PDM) for offline Arabic handwritten word recognition. Two combination levels were used: the first combines different features and the second combination was done by ensemble classifiers. The AHDB dataset was used, and the experimental results showed superior performance when combining multiple features and using multi classifiers.
      Keywords: feature extraction; Arabic handwriting recognition; Arabic legal amounts; majority voting; holistic approach; pixel distribution-based features; word recognition; bank cheque processing; Arabic bank cheques; ensemble classifiers
      Citation: International Journal of Computational Vision and Robotics, Vol. 7, No. 1/2 (2017) pp. 99 - 122
      PubDate: 2017-01-01T23:20:50-05:00
      DOI: 10.1504/IJCVR.2017.081243
      Issue No: Vol. 7, No. 1/2 (2017)
       
  • Novel feature extraction technique for content-based image recognition
           with query classification
    • Authors: Rik Das, Sudeep Thepade, Saurav Ghosh
      Pages: 123 - 147
      Abstract: A surge of concern has been witnessed to manage the growing size of image information available from various sources namely internet and digital image capturing devices. The rich content of information available with image data has proved to be useful for analytical decision-making process. Content-based image recognition has been considered as an effective measure to identify the object of interest. The success of aforementioned procedure has largely been influenced by the method of feature extraction from the image content. Image binarisation has proved to be an efficient tool for feature vector extraction using various threshold selection techniques. The authors have proposed a novel feature extraction technique based on local threshold selection and have evaluated the technique on 17,021 images for performance assessment. The precision results for classification and retrieval have shown an increment of 17% and 13.1% respectively when compared to state-of-the-art techniques. A statistical test has also been conducted to establish the significance of the proposed method over the existing techniques.
      Keywords: content-based image retrieval; CBIR; image classification; local threshold; Sauvola; Niblack; Bernsen; Otsu; t test; feature extraction; query classification; threshold selection
      Citation: International Journal of Computational Vision and Robotics, Vol. 7, No. 1/2 (2017) pp. 123 - 147
      PubDate: 2017-01-01T23:20:50-05:00
      DOI: 10.1504/IJCVR.2017.081240
      Issue No: Vol. 7, No. 1/2 (2017)
       
  • Contact angle measurement techniques on micro-patterned surfaces:
           a comparative analysis
    • Authors: Aneissha Chebolu, Nagahanumaiah
      Pages: 148 - 159
      Abstract: The study of micro-nano patterned surfaces has become a key area in the last few years. While the principal reason behind this interest is the wide range of applications of these surfaces; adhesion and wetting studies also have turned into important areas of research. This is especially important in applications such as biomimetic surfaces, lab-on-chip devices, etc. The study of the contact angle and surface energy is therefore both interesting and crucial. In this paper, an attempt is made to compute the contact angle of various substrates using four different methods. Apart from the traditional half angle method and goniometry which are quite well-known, image processing methods based on curve fitting and Hough transforms which have been developed by the authors have been considered for this comparative analysis. In this paper, the Hough transforms-based technique has been discussed in detail. While it is difficult to declare any one technique as the universally best, the pros and cons of all the four algorithms have been discussed in the results section. The algorithms were tested on micro-patterned surfaces fabricated over three different materials: poly dimethyl siloxane (PDMS), polystyrene and acrylic using laser.
      Keywords: contact angle measurement; image processing; micro-patterned surfaces; substrates; Hough transforms; poly dimethyl siloxane; PDMS; polystyrene; acrylic; surface patterns
      Citation: International Journal of Computational Vision and Robotics, Vol. 7, No. 1/2 (2017) pp. 148 - 159
      PubDate: 2017-01-01T23:20:50-05:00
      DOI: 10.1504/IJCVR.2017.081245
      Issue No: Vol. 7, No. 1/2 (2017)
       
  • Automated path testing using the negative selection algorithm
    • Authors: Shayma Mustafa Mohi-Aldeen, Radziah Mohamad, Safaai Deris
      Pages: 160 - 171
      Abstract: Software testing is an important step in the software development process, accounting for more than 50% of software development cost as it is laborious and time-consuming. Generating path test data is the most critical stage in software testing and many approaches have been developed by researchers to automate it. Negative selection algorithm (NSA) has been used in this paper to generate test data for path testing automatically. The proposed algorithm has been applied to the most commonly used benchmarking program which is triangle classifier. The experimental results show that the proposed algorithm is more efficient in time of execution and more effective in the generation of test data when compared with random testing and genetic algorithm.
      Keywords: path testing; automatic test data generation; ATDG; negative selection algorithm; NSA; software testing; software development; random testing; genetic algorithms
      Citation: International Journal of Computational Vision and Robotics, Vol. 7, No. 1/2 (2017) pp. 160 - 171
      PubDate: 2017-01-01T23:20:50-05:00
      DOI: 10.1504/IJCVR.2017.081236
      Issue No: Vol. 7, No. 1/2 (2017)
       
  • Time varying backstepping control for trajectory tracking of mobile robot
    • Authors: Mahmood Ali Moqbel Obaid, Abdul Rashid Husain
      Pages: 172 - 181
      Abstract: This paper presents a time varying backstepping tracking controller (TVBTC) for the kinematic model of the non-holonomic wheeled mobile robot (WMR) that can improves the transient performances of the standard backstepping control scheme. The proposed TVBTC is derived based on the analysis of the error dynamic, as well as the stability conditions of the controlled system. The asymptotic stability of the system and the convergence of the posture errors to zero are guaranteed using the Lyapunov stability theory. In comparison with the other tracking control methods for the mobile robot, the simulation results demonstrate that the transient performance can be improved significantly using the proposed TVBTC, which is capable to track a circular path with faster settling time and minimal overshoot. In addition, the TVBTC can efficiently handle a situation with arbitrarily large initial tracking errors and it is capable to produce smooth and bounded velocity output in a finite time interval. The simulation results show the effectiveness of the proposed tracking controller at the starting time.
      Keywords: wheeled robots; mobile robots; backstepping control; tracking control; Lyapunov stability theory; robot control; robot trajectories; kinematic modelling; non-holonomic robots; asymptotic stability; trajectory tracking; simulation
      Citation: International Journal of Computational Vision and Robotics, Vol. 7, No. 1/2 (2017) pp. 172 - 181
      PubDate: 2017-01-01T23:20:50-05:00
      DOI: 10.1504/IJCVR.2017.081235
      Issue No: Vol. 7, No. 1/2 (2017)
       
  • A simple approach for designing a PID controller for an experimental air
           blower system
    • Authors: I.M. Alsofyani, M.F. Rahmat, S.A. Anbaran, Y.A. Alamri
      Pages: 182 - 195
      Abstract: This paper focuses on the identification and control of an air blower system PT-326. Modelling of the PT-326 system is required before designing the controller. Hence, it is estimated by using system identification toolbox available in MATLAB. The process of identification began with the collection of input and output data from an experiment. The collected data is used for model estimation based on the selection of auto-regressive with exogenous (ARX) model structure of the PT-326 system. Based on the input and output data of the system, best fit criterion and correlation analysis of the residual are analysed to determine the adequate parameters of ARX model representing the PT-326 system. To achieve a good performance for the air blower system, right selection of the PID controller parameters is essential. This paper also presents a simple approach for designing a PID controller using minimum square error tuning scheme and compares it with a conventional Ziegler-tuning method for the identified model via simulation and experiment. The results obtained from both tuning methods show that the outputs of the system with the PID controller in simulation and experiment are almost similar.
      Keywords: PID control; controller design; air blowers; temperature; system identification; Ziegler-Nichols; minimum square error; MSE tuning; simulation
      Citation: International Journal of Computational Vision and Robotics, Vol. 7, No. 1/2 (2017) pp. 182 - 195
      PubDate: 2017-01-01T23:20:50-05:00
      DOI: 10.1504/IJCVR.2017.081233
      Issue No: Vol. 7, No. 1/2 (2017)
       
  • A review and an approach for object detection in images
    • Authors: Kartik Umesh Sharma, Nileshsingh V. Thakur
      Pages: 196 - 237
      Abstract: An object detection system finds objects of the real world present either in a digital image or a video, where the object can belong to any class of objects namely humans, cars, etc. In order to detect an object in an image or a video the system needs to have a few components in order to complete the task of detecting an object, they are a model database, a feature detector, a hypothesiser and a hypothesiser verifier. This paper presents a review of the various techniques that are used to detect an object, localise an object, categorise an object, extract features, appearance information, and many more, in images and videos. The comments are drawn based on the studied literature and key issues are also identified relevant to the object detection. Information about the source codes and online datasets is provided to facilitate the new researcher in object detection area. An idea about the possible solution for the multi class object detection is also presented. This paper is suitable for the researchers who are the beginners in this domain.
      Keywords: object detection; localisation; categorisation; object recognition; digital images; videos; feature extraction
      Citation: International Journal of Computational Vision and Robotics, Vol. 7, No. 1/2 (2017) pp. 196 - 237
      PubDate: 2017-01-01T23:20:50-05:00
      DOI: 10.1504/IJCVR.2017.081234
      Issue No: Vol. 7, No. 1/2 (2017)
       
 
 
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