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  Subjects -> ELECTRONICS (Total: 146 journals)
Advanced Electromagnetics     Open Access   (9 followers)
Advances in Biosensors and Bioelectronics     Open Access   (1 follower)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (4 followers)
Advances in Microelectronic Engineering     Open Access   (1 follower)
Advances in Power Electronics     Open Access   (7 followers)
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (46 followers)
American Journal of Electrical and Electronic Engineering     Open Access   (7 followers)
Annals of Telecommunications     Hybrid Journal   (3 followers)
APL : Organic Electronics and Photonics     Hybrid Journal   (1 follower)
APSIPA Transactions on Signal and Information Processing     Open Access   (2 followers)
Archives of Electrical Engineering     Open Access   (8 followers)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (5 followers)
Bell Labs Technical Journal     Hybrid Journal   (8 followers)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (14 followers)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (11 followers)
Biomedical Instrumentation & Technology     Full-text available via subscription   (4 followers)
Broadcasting, IEEE Transactions on     Hybrid Journal   (5 followers)
BULLETIN of National Technical University of Ukraine. Series RADIOTECHNIQUE. RADIOAPPARATUS BUILDING     Open Access   (1 follower)
Bulletin of the Polish Academy of Sciences : Technical Sciences     Open Access  
Canadian Journal of Remote Sensing     Full-text available via subscription   (12 followers)
China Communications     Full-text available via subscription  
Circuits and Systems     Open Access   (6 followers)
Consumer Electronics Times     Open Access   (3 followers)
Control Systems     Hybrid Journal   (18 followers)
Electronic Markets     Hybrid Journal   (5 followers)
Electronic Materials Letters     Hybrid Journal   (2 followers)
Electronics     Open Access   (3 followers)
Electronics and Communications in Japan     Hybrid Journal   (4 followers)
Electronics Letters     Hybrid Journal   (15 followers)
Embedded Systems Letters, IEEE     Hybrid Journal   (14 followers)
EURASIP Journal on Embedded Systems     Open Access   (8 followers)
EURASIP Journal on Image and Video Processing     Open Access   (6 followers)
EURASIP Journal on Wireless Communications and Networking     Open Access   (8 followers)
Foundations and TrendsĀ® in Communications and Information Theory     Full-text available via subscription   (5 followers)
Foundations and TrendsĀ® in Signal Processing     Full-text available via subscription   (4 followers)
Frequenz     Full-text available via subscription   (1 follower)
Frontiers of Optoelectronics     Hybrid Journal  
Geoscience and Remote Sensing, IEEE Transactions on     Hybrid Journal   (19 followers)
Haptics, IEEE Transactions on     Hybrid Journal   (4 followers)
IEEE Consumer Electronics Magazine     Full-text available via subscription   (7 followers)
IEEE Electromagnetic Compatibility Magazine     Full-text available via subscription   (2 followers)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (3 followers)
IEEE Journal of the Electron Devices Society     Open Access   (1 follower)
IEEE Transactions on Audio, Speech, and Language Processing     Hybrid Journal   (9 followers)
IEEE Transactions on Automatic Control     Hybrid Journal   (18 followers)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (10 followers)
IEEE Transactions on Electromagnetic Capability     Hybrid Journal   (10 followers)
IEEE Transactions on Electron Devices     Hybrid Journal   (6 followers)
IEEE Transactions on Information Theory     Hybrid Journal   (12 followers)
IEEE Transactions on Power Electronics     Hybrid Journal   (10 followers)
IEICE - Transactions on Electronics     Full-text available via subscription   (7 followers)
IEICE - Transactions on Information and Systems     Full-text available via subscription   (7 followers)
IET Power Electronics     Hybrid Journal   (7 followers)
IET Wireless Sensor Systems     Hybrid Journal   (5 followers)
IETE Journal of Education     Open Access   (2 followers)
IETE Journal of Research     Open Access   (5 followers)
IETE Technical Review     Open Access   (1 follower)
Industrial Electronics, IEEE Transactions on     Hybrid Journal   (9 followers)
Industry Applications, IEEE Transactions on     Hybrid Journal   (5 followers)
Informatik-Spektrum     Hybrid Journal  
Instabilities in Silicon Devices     Full-text available via subscription  
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (1 follower)
International Journal of Advanced Electronics and Communication Systems     Open Access   (3 followers)
International Journal of Advanced Research in Computer Science and Electronics Engineering     Open Access   (18 followers)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (1 follower)
International Journal of Aerospace Innovations     Full-text available via subscription   (10 followers)
International Journal of Applied Electronics in Physics & Robotics     Open Access  
International Journal of Biomedical Nanoscience and Nanotechnology     Hybrid Journal   (3 followers)
International Journal of Computational Vision and Robotics     Hybrid Journal   (4 followers)
International Journal of Computer & Electronics Research     Full-text available via subscription   (2 followers)
International Journal of Control     Hybrid Journal   (9 followers)
International Journal of Electronics     Hybrid Journal   (2 followers)
International Journal of Electronics & Data Communication     Open Access   (3 followers)
International Journal of Electronics and Telecommunications     Open Access   (3 followers)
International Journal of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (1 follower)
International Journal of High Speed Electronics and Systems     Hybrid Journal  
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (1 follower)
International Journal of Nano Devices, Sensors and Systems     Open Access   (1 follower)
International Journal of Nanoscience     Hybrid Journal   (1 follower)
International Journal of Numerical Modelling:Electronic Networks, Devices and Fields     Hybrid Journal   (2 followers)
International Journal of Power Electronics     Hybrid Journal   (3 followers)
International Journal of Power Management Electronics     Open Access  
International Journal of Review in Electronics & Communication Engineering     Open Access   (1 follower)
International Journal of Sensors, Wireless Communications and Control     Hybrid Journal   (1 follower)
International Journal of Systems, Control and Communications     Hybrid Journal   (2 followers)
International Journal on Communication     Full-text available via subscription   (6 followers)
International Journal on Electrical and Power Engineering     Full-text available via subscription   (11 followers)
ISRN Communications and Networking     Open Access   (4 followers)
ISRN Electronics     Open Access   (1 follower)
ISRN Signal Processing     Open Access  
Journal of Advanced Dielectrics     Open Access   (1 follower)
Journal of Artificial Intelligence     Open Access   (5 followers)
Journal of Circuits, Systems, and Computers     Hybrid Journal   (1 follower)
Journal of Electrical and Electronics Engineering Research     Open Access   (1 follower)
Journal of Electrical Bioimpedance     Full-text available via subscription   (2 followers)
Journal of Electrical Engineering & Electronic Technology     Full-text available via subscription   (1 follower)
Journal of Electromagnetic Analysis and Applications     Open Access   (3 followers)
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (2 followers)
Journal of Electronic Design Technology     Full-text available via subscription  
Journal of Electronics (China)     Hybrid Journal   (2 followers)

        1 2 | Last

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  [381 journals]
  • State-of-charge estimation of electric vehicles using Kalman
           filter for a harsh environment; a heuristic method for current measurement
           error calibration
    • Authors: Sung-Wook Kim, Mi-Rim Ha, Yeon-Mo Yang
      Pages: 139 - 147
      Abstract: In this paper, it has been studied how to estimate state-of-charge (SOC) with accuracy and robustness in a harsh environment. Several methods have been used for that purpose. More specifically, in the process of estimation of open circuit voltage (OCV), least mean square (LMS) is used to calculate parameters of ECM, and Kalman filter (KF) is proposed to estimate SOC using both current integral and SOC obtained from OCV. The actual current pattern is used to verify the method in a harsh environment. This method can obtain the result that errors in SOC estimation, occurred in the whole process, is relatively smaller than other methods. Accurate SOC enables more efficient battery management. As a result, the utilisation of a battery can be increased using the method this paper proposes.
      Keywords: battery management; Kalman filter; heuristic methods; state-of-charge estimation; electric vehicles; harsh environments; open circuit voltage
      Citation: International Journal of Computational Vision and Robotics, Vol. 3, No. 3 (2013) pp. 139 - 147
      PubDate: 2013-08-29T23:20:50-05:00
      DOI: 10.1504/IJCVR.2013.056030
      Issue No: Vol. 3, No. 3 (2013)
       
  • Multi-resolution local ternary patterns for image indexing retrieval
    • Authors: K.N. Prakash, K. Satya Prasad
      Pages: 148 - 166
      Abstract: A new image indexing and retrieval algorithm known as multi-resolution local ternary patterns (Mu_LTP) is presented in this paper. LTP histogram captures the distribution of edges in an image which are evaluated by taking into consideration of local difference between the centre pixel and its neighbours. Local ternary patterns (LTP) is more discriminate and less sensitive to noise in uniform regions as compared to local binary patterns (LBP). Multi-resolution texture decomposition and LTP has been efficiently used in the proposed method where multi-resolution images are computed using Gaussian filter. Eventually, feature vectors are constructed by making into play LTP on multi-resolution images. The retrieval results of the proposed method are examined on two different natural and texture image databases viz Brodatz database (DB1), and MIT VisTex database (DB2), and shows a major improvement in terms of average retrieval precision (ARP) and average retrieval rate as when weighed against with LBP, LTP and some existing transform domain techniques.
      Keywords: image retrieval; texture decomposition; local binary patterns; LBP; Gaussian filter bank; GFB; multi-resolution images; local ternary patterns; image indexing; feature vectors
      Citation: International Journal of Computational Vision and Robotics, Vol. 3, No. 3 (2013) pp. 148 - 166
      PubDate: 2013-08-29T23:20:50-05:00
      DOI: 10.1504/IJCVR.2013.056032
      Issue No: Vol. 3, No. 3 (2013)
       
  • Volume-based clustering for arbitrary shaped clusters
    • Authors: Partha Sarathi Bishnu, Saurabh Prasad, Vandana Bhattacherjee
      Pages: 167 - 181
      Abstract: Volume-based clustering is a clustering technique for identifying arbitrary shaped clusters. The main aim of this paper is generation of arbitrary shaped clusters by forming sub-clusters which are merged to identify the actual shape of the clusters and two phase outlier detection and removal is conducted. By varying a user defined parameter e, user can get the desired number of clusters. Experiments were conducted on different sets of real and synthetic datasets to test our proposed algorithm and results are compared with other existing algorithms.
      Keywords: data mining; noise; volume-based clustering; arbitrary shaped clusters; outlier detection
      Citation: International Journal of Computational Vision and Robotics, Vol. 3, No. 3 (2013) pp. 167 - 181
      PubDate: 2013-08-29T23:20:50-05:00
      DOI: 10.1504/IJCVR.2013.056034
      Issue No: Vol. 3, No. 3 (2013)
       
  • Viewpoint invariant model for face detection
    • Authors: Mokhtar Taffar, Serge Miguet, Mohammed Benmohammed
      Pages: 182 - 196
      Abstract: In this work, we have developed a face invariant model for accurate face detection in images where faces can present viewpoint changes. The face model is based on learning a relation between local features and a face invariant. A probabilistic model learned from a training set captures the relationship between the appearance of facial features and the geometry of face invariant. It is then used to infer a face instance in new image. We use the local invariant features which have the high performances to distinguish objects appearance. The facial features are recognised by an appearance classifier which combines an EM classification and a probabilistic matching. Then, the geometrical parameters are predicted to locate face invariants and a hierarchical clustering method corrects the geometric error of the position of invariants. The geometric classification uses an aggregate value to construct clusters of invariants. The probabilities of facial appearance features are computed to select the best cluster and thus to locate face with arbitrary viewpoint in image. We evaluate our generic invariant by testing it in face detection experiments on different databases. The experimental results show that our face invariant model gives highly accurate face localisation.
      Keywords: local invariant features; probabilistic matching; learning models; object class recognition; object appearance modelling; face detection; facial invariant models; biometrics; facial features; face localisation; feature recognition
      Citation: International Journal of Computational Vision and Robotics, Vol. 3, No. 3 (2013) pp. 182 - 196
      PubDate: 2013-08-29T23:20:50-05:00
      DOI: 10.1504/IJCVR.2013.056039
      Issue No: Vol. 3, No. 3 (2013)
       
  • Base and apex angles and margin types-based identification and
           classification from medicinal plants' leaves images
    • Authors: Suvarna S. Nandyal, Basavaraj S. Anami, A. Govardhan
      Pages: 197 - 224
      Abstract: In this paper, we have proposed a method for medicinal plants identification and classification from their leaves images based on base angle, apex angle and margin type. In Ayurveda, medicines are extracted from leaves, roots and stems. Many a times, the plants are recognised by their leaves. Therefore, we have considered leaves images in this work. Adoptive Otsu threshold method is used for segmentation of leafy part from the background. The database includes altogether 900 leaves images representing 18 shapes with different base and apex angles and margins. The leaf images are classified based on features such as widest part of leaf and its location, stem angle, base angle and margin. The two angles and margin features are extracted using trigonometric and chain code approaches respectively. The proposed approach is robust, position, scale and rotation invariant and works for even tender leaves. The average recognition and classification accuracy of 98% is obtained. The work assists novice users of Ayurvedic practitioners.
      Keywords: base angles; apex angles; plant identification; plant classification; medicinal plants; plant leaves; leaf segmentation; widest part; leaf margin; Otsu threshold; leaf images; Ayurveda; stem angle
      Citation: International Journal of Computational Vision and Robotics, Vol. 3, No. 3 (2013) pp. 197 - 224
      PubDate: 2013-08-29T23:20:50-05:00
      DOI: 10.1504/IJCVR.2013.056040
      Issue No: Vol. 3, No. 3 (2013)
       
  • Improving surface reconstruction in shape from shading using
           easy-to-set boundary conditions
    • Authors: L. Governi, R. Furferi, L. Puggelli, Y. Volpe
      Pages: 225 - 247
      Abstract: Minimisation techniques are commonly adopted methodologies for retrieving a 3D surface starting from its shaded representation (image), i.e., for solving the widely known shape from shading (SFS) problem. Unfortunately, depending on the imaged object to be reconstructed, retrieved surfaces often results to be completely different from the expected ones. In recent years, a number of interactive methods have been explored with the aim of improving surface reconstruction; however, since most of these methods require user interaction performed on a tentative reconstructed surface which often is significantly different from the desired one, it is advisable to increase the quality of the surface, to be further processed, as much as possible. Inspired by such techniques, the present work describes a new method for interactive retrieving of shaded object surface. The proposed approach is meant to recover the expected surface by using easy-to-set boundary conditions, so that the human-computer interaction primarily takes place prior to the surface retrieval. The method, tested on a set of case studies, proves to be effective in achieving sufficiently accurate reconstruction of scenes with both front and side illumination.
      Keywords: shape from shading; SFS; minimisation techniques; computational vision; boundary conditions; human-computer interaction; HCI; surface reconstruction; 3D surfaces; shaded objects; object surfaces; surface retrieval
      Citation: International Journal of Computational Vision and Robotics, Vol. 3, No. 3 (2013) pp. 225 - 247
      PubDate: 2013-08-29T23:20:50-05:00
      DOI: 10.1504/IJCVR.2013.056041
      Issue No: Vol. 3, No. 3 (2013)
       
 
 
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