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  Subjects -> ELECTRONICS (Total: 152 journals)
Advances in Biosensors and Bioelectronics     Open Access   (Followers: 1)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 5)
Advances in Microelectronic Engineering     Open Access   (Followers: 1)
Advances in Power Electronics     Open Access   (Followers: 8)
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 59)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 10)
Annals of Telecommunications     Hybrid Journal   (Followers: 4)
APL : Organic Electronics and Photonics     Hybrid Journal   (Followers: 2)
APSIPA Transactions on Signal and Information Processing     Open Access   (Followers: 6)
Archives of Electrical Engineering     Open Access   (Followers: 9)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 5)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 8)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 15)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 12)
Biomedical Instrumentation & Technology     Full-text available via subscription   (Followers: 4)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 5)
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: 13)
China Communications     Full-text available via subscription   (Followers: 2)
Circuits and Systems     Open Access   (Followers: 9)
Consumer Electronics Times     Open Access   (Followers: 4)
Control Systems     Hybrid Journal   (Followers: 21)
Electronic Markets     Hybrid Journal   (Followers: 6)
Electronic Materials Letters     Hybrid Journal   (Followers: 3)
Electronics     Open Access   (Followers: 7)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 5)
Electronics Letters     Hybrid Journal   (Followers: 17)
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 18)
Energy Harvesting and Systems : Materials, Mechanisms, Circuits and Storage     Hybrid Journal   (Followers: 1)
EPJ Quantum Technology     Open Access  
EURASIP Journal on Embedded Systems     Open Access   (Followers: 8)
Facta Universitatis, Series : Electronics and Energetics     Open Access  
Foundations and TrendsĀ® in Communications and Information Theory     Full-text available via subscription   (Followers: 6)
Foundations and TrendsĀ® in Signal Processing     Full-text available via subscription   (Followers: 4)
Frequenz     Full-text available via subscription   (Followers: 2)
Frontiers of Optoelectronics     Hybrid Journal   (Followers: 2)
Geoscience and Remote Sensing, IEEE Transactions on     Hybrid Journal   (Followers: 20)
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 4)
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 14)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 13)
IEEE Consumer Electronics Magazine     Full-text available via subscription   (Followers: 11)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 10)
IEEE Journal of the Electron Devices Society     Open Access   (Followers: 2)
IEEE Power Electronics Magazine     Full-text available via subscription   (Followers: 5)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 10)
IEEE Transactions on Audio, Speech, and Language Processing     Hybrid Journal   (Followers: 12)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 22)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 13)
IEEE Transactions on Electron Devices     Hybrid Journal   (Followers: 6)
IEEE Transactions on Information Theory     Hybrid Journal   (Followers: 13)
IEEE Transactions on Power Electronics     Hybrid Journal   (Followers: 15)
IEICE - Transactions on Electronics     Full-text available via subscription   (Followers: 8)
IEICE - Transactions on Information and Systems     Full-text available via subscription   (Followers: 7)
IET Microwaves, Antennas & Propagation     Hybrid Journal   (Followers: 7)
IET Power Electronics     Hybrid Journal   (Followers: 7)
IET Wireless Sensor Systems     Hybrid Journal   (Followers: 6)
IETE Journal of Education     Open Access   (Followers: 2)
IETE Journal of Research     Open Access   (Followers: 8)
IETE Technical Review     Open Access   (Followers: 3)
Industrial Electronics, IEEE Transactions on     Hybrid Journal   (Followers: 11)
Industry Applications, IEEE Transactions on     Hybrid Journal   (Followers: 5)
Informatik-Spektrum     Hybrid Journal  
Instabilities in Silicon Devices     Full-text available via subscription  
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 1)
International Journal of Advanced Electronics and Communication Systems     Open Access   (Followers: 5)
International Journal of Advanced Research in Computer Science and Electronics Engineering     Open Access   (Followers: 20)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 3)
International Journal of Aerospace Innovations     Full-text available via subscription   (Followers: 11)
International Journal of Antennas and Propagation     Open Access   (Followers: 8)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 1)
International Journal of Biomedical Nanoscience and Nanotechnology     Hybrid Journal   (Followers: 6)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 4)
International Journal of Computer & Electronics Research     Full-text available via subscription   (Followers: 2)
International Journal of Control     Hybrid Journal   (Followers: 12)
International Journal of Electronics     Hybrid Journal   (Followers: 2)
International Journal of Electronics & Data Communication     Open Access   (Followers: 4)
International Journal of Electronics and Telecommunications     Open Access   (Followers: 3)
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 Microwave and Wireless Technologies     Hybrid Journal   (Followers: 1)
International Journal of Nano Devices, Sensors and Systems     Open Access   (Followers: 4)
International Journal of Nanoscience     Hybrid Journal   (Followers: 1)
International Journal of Numerical Modelling:Electronic Networks, Devices and Fields     Hybrid Journal   (Followers: 2)
International Journal of Power Electronics     Hybrid Journal   (Followers: 4)
International Journal of Review in Electronics & Communication Engineering     Open Access   (Followers: 2)
International Journal of Sensors, Wireless Communications and Control     Hybrid Journal   (Followers: 2)
International Journal of Systems, Control and Communications     Hybrid Journal   (Followers: 2)
International Journal on Communication     Full-text available via subscription   (Followers: 8)
International Journal on Electrical and Power Engineering     Full-text available via subscription   (Followers: 11)
International Transaction of Electrical and Computer Engineers System     Open Access  
ISRN Electronics     Open Access   (Followers: 1)
ISRN Signal Processing     Open Access  
Journal of Advanced Dielectrics     Open Access   (Followers: 1)
Journal of Artificial Intelligence     Open Access   (Followers: 5)
Journal of Circuits, Systems, and Computers     Hybrid Journal   (Followers: 1)
Journal of Electrical and Electronics Engineering Research     Open Access   (Followers: 2)
Journal of Electrical Bioimpedance     Full-text available via subscription   (Followers: 2)
Journal of Electrical Engineering & Electronic Technology     Full-text available via subscription   (Followers: 1)
Journal of Electromagnetic Analysis and Applications     Open Access   (Followers: 4)

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Journal Cover International Journal of Computational Vision and Robotics  
   [6 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  [391 journals]
  • Detection and classification of fungal disease with Radon transform and
           support vector machine affected on cereals
    • Authors: Jagadeesh D. Pujari, Rajesh Yakkundimath, Abdulmunaf S. Byadgi
      Pages: 261 - 280
      Abstract: This paper describes Radon transform and SVM-based recognition and classification of visual symptoms affected by fungal disease. Algorithms are developed to acquire and process colour images of fungal disease affected on cereals like wheat, maize and jowar. Different types of fungal disease symptoms namely, leaf blight, leaf spot, powdery mildew, leaf rust, smut are considered for the study. The developed methodology consists of two phases. In the first phase, Radon transformation and projection algorithm is used to project patches (affected area) on the surface of cereal and detect whether the cereal is fungal affected or normal. In the second phase, fungal affected symptoms are classified using support vector machine (SVM) classifier. The fungal affected regions are segmented using k-means segmentation. Colour and shape features are extracted from affected regions and then used as inputs to SVM classifier. Classification accuracies of over 80.83% are obtained using colour features, 85% are obtained using shape features and 90.83% are obtained using combined colour and shape features.
      Keywords: fungal diseases; early detection; radon transformation; image segmentation; pattern recognition; support vector machines; SVM; disease detection; disease classification; cereals; image processing; feature extraction; colour images; wheat; maize; jowar; leaf blight; l
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 4 (2014) pp. 261 - 280
      PubDate: 2014-10-29T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.065566
      Issue No: Vol. 4, No. 4 (2014)
  • Structural similarity-based ranking of stereo algorithms for dynamic
           adaptation in real-time robot navigation
    • Authors: U. Raghavendra, Krishnamoorthi Makkithaya, A.K. Karunakar
      Pages: 281 - 293
      Abstract: Real-time navigation of mobile robot in an unconstrained environment is a challenging area of research and it has several applications such as autonomous systems, military applications, security systems, etc. State-of-the-art stereo vision-based robot navigation system uses a specific stereo matching algorithm during complete navigation, which fails to handle radiometric variations such as change in illumination and exposure. The available illumination and exposure invariant stereo algorithms are computationally expensive and may not be suitable for real-time applications. This research ranked the existing correlation-based stereo algorithms for different real-time conditions by analysing its quality of the disparity using range structural similarity index measure. The proposed evaluation ranking table can be used to generate better disparity at each instance during the robot navigation.
      Keywords: stereo matching; illumination invariant; exposure invariant; mobile robots; robot navigation; radiometric variation; structural similarity; stereo vision; robot vision
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 4 (2014) pp. 281 - 293
      PubDate: 2014-10-29T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.065567
      Issue No: Vol. 4, No. 4 (2014)
  • Meta-scheduler using agents for fault tolerance in computational grid
    • Authors: Srimathi Chandrasekaran, J. Vaideeswaran
      Pages: 294 - 329
      Abstract: Applying fault detection and correction techniques in a context become a complicated issue in an environment like computational grid. Agent technology promises a more flexible approach, easier installation and management of the agent framework, and better ability to autonomously recover from failures. Understanding and handling failures becomes additional burden for application developers in a distributed environment. So tolerating the faults and maintaining the performance of the grid becomes a major challenge in the grid computing environment. The work was aimed at building a fault tolerant computational grid using agent-based scheduler. It was found that agent technology offers many advantages in terms of ease of deployment, usage and the ability to control the scheduling of grid applications at a higher level. The framework provided a generic mechanism for incorporating agents into grid applications. It was applied to the meta-scheduler with multi criteria approach. This work also does performance evaluation of the proposed approach with respect to make span time and average scheduling time of each job.
      Keywords: computational grid; scheduling; meta-scheduling; brokers; metadata; agents; agent-based systems; multi-agent systems; MAS; fault detection; fault correction; fault tolerance; grid computing
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 4 (2014) pp. 294 - 329
      PubDate: 2014-10-29T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.065568
      Issue No: Vol. 4, No. 4 (2014)
  • An empirical evaluation of rotation invariance of LDP feature for
           fingerprint matching using neural networks
    • Authors: Ravinder Kumar, Madasu Hanmandlu, Pravin Chandra
      Pages: 330 - 348
      Abstract: Fingerprint-based individual authentication has been the most trusted and tested biometric among the biometrics traits. In the past two decades, many methods have been developed for fingerprint matching, but still there is a huge scope of improvement. This paper presents the rotation invariant fingerprint matching method, which is based on local directional pattern (LDP) features computed directly from grey values of a fingerprint image. For matching the extracted LDP histogram features, we have used single hidden layer feedforward neural networks (SLFNN). Six training algorithms namely, resilient propagation (RP), scaled conjugate gradient (SCG), gradient decent with all four variants [GD, GDM, GDA, GDX (refer to Table 2 for details)] are used for evaluating the matching performance and convergence time. The results show that the proposed features are invariant to the rotation and also suitable for fingerprint matching using SLFNN. The results also demonstrate that RP is better in performance than other investigated algorithms.
      Keywords: image-based fingerprint verification; fingerprint matching; local directional patterns; LDP histogram; SLFNN; rotation invariant; fingerprints; neural networks; biometrics; individual authentication
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 4 (2014) pp. 330 - 348
      PubDate: 2014-10-29T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.065569
      Issue No: Vol. 4, No. 4 (2014)
  • Support vector machine-based macro-block mode decision in
           MPEG-2 video compression
    • Authors: Vinay Kumar, K.G. Sharma, Anand Singh Jalal
      Pages: 349 - 364
      Abstract: Compression either in videos or in images is currently headed by engineering and well-tuned heuristic approaches. Transmitting and storing raw video without compression needs more storage amount and network capability so compression is required. Many compression algorithms were proposed to solve this type of problem. In this paper, we proposed a machine learning approach for the video compression using MPEG-2 codec. The proposed mechanism is incorporated to perform an optimum macro block encoding mode decision with a reduced computational burden. Various video compression techniques encode the video frames by applying inter and intra coding scheme. Video frames are divided into macro-blocks and each macro-block is encoded either by inter or by intra coding technique. It is an important issue to decide which coding technique will be applied to compress a given macro block. To solve this problem, we applied the machine learning approach in MPEG-2 video compression. We have used support vector machine for the learning process and after learning any macro-block can be classified in intra or inter coding. Our experimental results suggest that use of machine learning in macro-block mode decision in MPEG-2 increases the PSNR while preserves the encoding and decoding time.
      Keywords: MPEG-2; inter coding; intra coding; video compression; machine learning; macro-block mode decision; support vector machines; SVM
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 4 (2014) pp. 349 - 364
      PubDate: 2014-10-29T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.065570
      Issue No: Vol. 4, No. 4 (2014)
  • Emotion recognition from facial expressions based on multi-level
    • Authors: Dev Drume Agrawal, Shiv Ram Dubey, Anand Singh Jalal
      Pages: 365 - 389
      Abstract: Emotion plays an imperative role in non-verbal communication. The emotion recognition applications have demonstrated their capabilities in the next generation human-machine interactive system. In this paper, we present a multilevel classification framework for human emotion recognition from facial images. The proposed framework for emotion recognition consists of two phases: face processing and emotion classification. In the first phase, we have described the whole methodology used for face localisation and facial feature detection. The second phase, a multi-level classification approach is used for emotion recognition. In the proposed approach, the classification accuracy of principal component analysis (PCA) at level 1 is boosted by support vector machines (SVMs) at level 2, which is appropriate for representing the expression patterns having large intraclass variations. Experimental results demonstrate that the proposed approach can successfully recognise facial emotion with 94% recognition rate.
      Keywords: emotion recognition; principal component analysis; PCA; support vector machines; SVM; multi-level classification; local binary pattern; LBP; Gabor filter; local binary decisions; motion recognition; facial expressions; biometrics; facial images; face processin
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 4 (2014) pp. 365 - 389
      PubDate: 2014-10-29T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.065571
      Issue No: Vol. 4, No. 4 (2014)
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