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  Subjects -> ELECTRONICS (Total: 175 journals)
Showing 1 - 200 of 277 Journals sorted alphabetically
Acta Electronica Malaysia     Open Access  
Advances in Biosensors and Bioelectronics     Open Access   (Followers: 7)
Advances in Electrical and Electronic Engineering     Open Access   (Followers: 5)
Advances in Electronics     Open Access   (Followers: 76)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Microelectronic Engineering     Open Access   (Followers: 13)
Advances in Power Electronics     Open Access   (Followers: 33)
Advancing Microelectronics     Hybrid Journal  
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 304)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 24)
Annals of Telecommunications     Hybrid Journal   (Followers: 9)
APSIPA Transactions on Signal and Information Processing     Open Access   (Followers: 9)
Archives of Electrical Engineering     Open Access   (Followers: 13)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 28)
Bioelectronics in Medicine     Hybrid Journal  
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 19)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Biomedical Instrumentation & Technology     Hybrid Journal   (Followers: 6)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 12)
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   (Followers: 1)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 44)
China Communications     Full-text available via subscription   (Followers: 8)
Chinese Journal of Electronics     Hybrid Journal  
Circuits and Systems     Open Access   (Followers: 15)
Consumer Electronics Times     Open Access   (Followers: 5)
Control Systems     Hybrid Journal   (Followers: 253)
Edu Elektrika Journal     Open Access   (Followers: 1)
Electrica     Open Access  
Electronic Design     Partially Free   (Followers: 104)
Electronic Markets     Hybrid Journal   (Followers: 7)
Electronic Materials Letters     Hybrid Journal   (Followers: 4)
Electronics     Open Access   (Followers: 85)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 10)
Electronics For You     Partially Free   (Followers: 91)
Electronics Letters     Hybrid Journal   (Followers: 26)
Elkha : Jurnal Teknik Elektro     Open Access  
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 50)
Energy Harvesting and Systems     Hybrid Journal   (Followers: 4)
Energy Storage Materials     Full-text available via subscription   (Followers: 2)
EPJ Quantum Technology     Open Access  
EURASIP Journal on Embedded Systems     Open Access   (Followers: 11)
Facta Universitatis, Series : Electronics and Energetics     Open Access  
Foundations and Trends® in Communications and Information Theory     Full-text available via subscription   (Followers: 6)
Foundations and Trends® in Signal Processing     Full-text available via subscription   (Followers: 10)
Frequenz     Hybrid Journal   (Followers: 1)
Frontiers of Optoelectronics     Hybrid Journal   (Followers: 1)
Geoscience and Remote Sensing, IEEE Transactions on     Hybrid Journal   (Followers: 185)
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 4)
IACR Transactions on Symmetric Cryptology     Open Access  
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 96)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 77)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 46)
IEEE Journal of the Electron Devices Society     Open Access   (Followers: 9)
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits     Hybrid Journal   (Followers: 1)
IEEE Power Electronics Magazine     Full-text available via subscription   (Followers: 65)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 69)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 55)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 19)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 39)
IEEE Transactions on Electron Devices     Hybrid Journal   (Followers: 19)
IEEE Transactions on Information Theory     Hybrid Journal   (Followers: 26)
IEEE Transactions on Power Electronics     Hybrid Journal   (Followers: 70)
IEEE Transactions on Signal and Information Processing over Networks     Full-text available via subscription   (Followers: 11)
IEICE - Transactions on Electronics     Full-text available via subscription   (Followers: 12)
IEICE - Transactions on Information and Systems     Full-text available via subscription   (Followers: 5)
IET Cyber-Physical Systems : Theory & Applications     Open Access   (Followers: 1)
IET Microwaves, Antennas & Propagation     Hybrid Journal   (Followers: 35)
IET Nanodielectrics     Open Access  
IET Power Electronics     Hybrid Journal   (Followers: 45)
IET Smart Grid     Open Access  
IET Wireless Sensor Systems     Hybrid Journal   (Followers: 18)
IETE Journal of Education     Open Access   (Followers: 4)
IETE Journal of Research     Open Access   (Followers: 11)
IETE Technical Review     Open Access   (Followers: 13)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
Industrial Electronics, IEEE Transactions on     Hybrid Journal   (Followers: 56)
Industry Applications, IEEE Transactions on     Hybrid Journal   (Followers: 23)
Informatik-Spektrum     Hybrid Journal   (Followers: 2)
Instabilities in Silicon Devices     Full-text available via subscription   (Followers: 1)
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 12)
International Journal of Advanced Research in Computer Science and Electronics Engineering     Open Access   (Followers: 18)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 10)
International Journal of Antennas and Propagation     Open Access   (Followers: 11)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 5)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 6)
International Journal of Control     Hybrid Journal   (Followers: 12)
International Journal of Electronics     Hybrid Journal   (Followers: 7)
International Journal of Electronics and Telecommunications     Open Access   (Followers: 13)
International Journal of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 2)
International Journal of High Speed Electronics and Systems     Hybrid Journal  
International Journal of Image, Graphics and Signal Processing     Open Access   (Followers: 14)
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (Followers: 8)
International Journal of Nano Devices, Sensors and Systems     Open Access   (Followers: 12)
International Journal of Nanoscience     Hybrid Journal   (Followers: 1)
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields     Hybrid Journal   (Followers: 4)
International Journal of Power Electronics     Hybrid Journal   (Followers: 24)
International Journal of Review in Electronics & Communication Engineering     Open Access   (Followers: 4)
International Journal of Sensors, Wireless Communications and Control     Hybrid Journal   (Followers: 10)
International Journal of Systems, Control and Communications     Hybrid Journal   (Followers: 4)
International Journal of Wireless and Microwave Technologies     Open Access   (Followers: 6)
International Transaction of Electrical and Computer Engineers System     Open Access   (Followers: 2)
JAREE (Journal on Advanced Research in Electrical Engineering)     Open Access  
Journal of Biosensors & Bioelectronics     Open Access   (Followers: 3)
Journal of Advanced Dielectrics     Open Access   (Followers: 1)
Journal of Artificial Intelligence     Open Access   (Followers: 10)
Journal of Circuits, Systems, and Computers     Hybrid Journal   (Followers: 4)
Journal of Computational Intelligence and Electronic Systems     Full-text available via subscription   (Followers: 1)
Journal of Electrical and Electronics Engineering Research     Open Access   (Followers: 23)
Journal of Electrical Bioimpedance     Open Access   (Followers: 2)
Journal of Electrical Engineering & Electronic Technology     Hybrid Journal   (Followers: 7)
Journal of Electrical, Electronics and Informatics     Open Access  
Journal of Electromagnetic Analysis and Applications     Open Access   (Followers: 7)
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 8)
Journal of Electronic Design Technology     Full-text available via subscription   (Followers: 6)
Journal of Electronics (China)     Hybrid Journal   (Followers: 4)
Journal of Energy Storage     Full-text available via subscription   (Followers: 4)
Journal of Field Robotics     Hybrid Journal   (Followers: 2)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 162)
Journal of Information and Telecommunication     Open Access   (Followers: 1)
Journal of Intelligent Procedures in Electrical Technology     Open Access   (Followers: 3)
Journal of Low Power Electronics     Full-text available via subscription   (Followers: 7)
Journal of Low Power Electronics and Applications     Open Access   (Followers: 9)
Journal of Microelectronics and Electronic Packaging     Hybrid Journal  
Journal of Microwave Power and Electromagnetic Energy     Hybrid Journal  
Journal of Microwaves, Optoelectronics and Electromagnetic Applications     Open Access   (Followers: 10)
Journal of Nuclear Cardiology     Hybrid Journal  
Journal of Optoelectronics Engineering     Open Access   (Followers: 4)
Journal of Physics B: Atomic, Molecular and Optical Physics     Hybrid Journal   (Followers: 28)
Journal of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 11)
Journal of Semiconductors     Full-text available via subscription   (Followers: 5)
Journal of Sensors     Open Access   (Followers: 26)
Journal of Signal and Information Processing     Open Access   (Followers: 9)
Jurnal Rekayasa Elektrika     Open Access  
Jurnal Teknik Elektro     Open Access  
Kinetik : Game Technology, Information System, Computer Network, Computing, Electronics, and Control     Open Access  
Learning Technologies, IEEE Transactions on     Hybrid Journal   (Followers: 12)
Magnetics Letters, IEEE     Hybrid Journal   (Followers: 7)
Majalah Ilmiah Teknologi Elektro : Journal of Electrical Technology     Open Access   (Followers: 2)
Metrology and Measurement Systems     Open Access   (Followers: 5)
Microelectronics and Solid State Electronics     Open Access   (Followers: 18)
Nanotechnology Magazine, IEEE     Full-text available via subscription   (Followers: 33)
Nanotechnology, Science and Applications     Open Access   (Followers: 6)
Nature Electronics     Hybrid Journal  
Networks: an International Journal     Hybrid Journal   (Followers: 6)
Open Journal of Antennas and Propagation     Open Access   (Followers: 8)
Optical Communications and Networking, IEEE/OSA Journal of     Full-text available via subscription   (Followers: 15)
Paladyn. Journal of Behavioral Robotics     Open Access   (Followers: 1)
Power Electronics and Drives     Open Access   (Followers: 1)
Problemy Peredachi Informatsii     Full-text available via subscription  
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 Advances in Communications and Networking Technology     Hybrid Journal   (Followers: 3)
Recent Advances in Electrical & Electronic Engineering     Hybrid Journal   (Followers: 9)
Research & Reviews : Journal of Embedded System & Applications     Full-text available via subscription   (Followers: 5)
Security and Communication Networks     Hybrid Journal   (Followers: 2)
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of     Hybrid Journal   (Followers: 53)
Semiconductors and Semimetals     Full-text available via subscription   (Followers: 1)
Sensing and Imaging : An International Journal     Hybrid Journal   (Followers: 2)
Services Computing, IEEE Transactions on     Hybrid Journal   (Followers: 4)
Software Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 75)
Solid-State Circuits Magazine, IEEE     Hybrid Journal   (Followers: 13)
Solid-State Electronics     Hybrid Journal   (Followers: 9)
Superconductor Science and Technology     Hybrid Journal   (Followers: 2)
Synthesis Lectures on Power Electronics     Full-text available via subscription   (Followers: 3)
Technical Report Electronics and Computer Engineering     Open Access  
TELE     Open Access  
Telematique     Open Access  
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)     Open Access   (Followers: 8)
Universal Journal of Electrical and Electronic Engineering     Open Access   (Followers: 6)
Visión Electrónica : algo más que un estado sólido     Open Access   (Followers: 1)
Wireless and Mobile Technologies     Open Access   (Followers: 6)
Wireless Power Transfer     Full-text available via subscription   (Followers: 4)
Women in Engineering Magazine, IEEE     Full-text available via subscription   (Followers: 11)
Електротехніка і Електромеханіка     Open Access  

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Journal Cover
Sensing and Imaging : An International Journal
Journal Prestige (SJR): 0.255
Citation Impact (citeScore): 1
Number of Followers: 2  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1557-2072 - ISSN (Online) 1557-2064
Published by Springer-Verlag Homepage  [2352 journals]
  • K-Means Clustering Optimizing Deep Stacked Sparse Autoencoder
    • Authors: Yandong Bi; Peng Wang; Xuchao Guo; Zhijun Wang; Shuhan Cheng
      Abstract: Because of the large structure and long training time, the development cycle of the common depth model is prolonged. How to speed up training is a problem deserving of study. In order to accelerate training, K-means clustering optimizing deep stacked sparse autoencoder (K-means sparse SAE) is presented in this paper. First, the input features are divided into K small subsets by K-means clustering, then each subset is input into corresponding autoencoder model for training, which only has fewer nodes in the hidden layer than traditional models. After training, each autoencoder’s trained weights and biases is merged to obtain the next layer’s input features by feedforward network. The above steps are repeated till the softmax layer, then fine-tuning is carried out. Using MNIST-Rotation datasets to train the network that has three hidden layers and each layer has 800 nodes, the improved model has higher classification accuracy and shorter training time when K = 10. With K increasing, the training time is reduced to almost the same as the fine-tuning time but the recognition ability is descended. Compared with the recently stacked denoising sparse autoencoder, the recognition accuracy is improved by 1%, not only the noise factor is not selected but also the training speed is significantly increased. The trained filters from the improved model is also used to train convolutional autoencoder, and it performs better than traditional models. We find that pre-training stage doesn’t need large samples simultaneously, and small samples parallel training reduces the probability of falling into the local minimum.
      PubDate: 2019-02-10
      DOI: 10.1007/s11220-019-0227-1
      Issue No: Vol. 20, No. 1 (2019)
  • Pointwise Multi-resolution Feature Descriptor for Spectral Segmentation
    • Authors: JingMao Zhang; YanXia Shen
      Abstract: In the process of spectral segmentation, it is crucial to compute a reliable affinity matrix with different features of an image. In this paper, we present a method of constructing the affinity matrix based on multi-resolution features extracted from the original features. A pointwise multi-resolution feature descriptor (PMFD) is designed based on spectral graph wavelets, which characterize the topology of the image centered at different pixels. After choosing the scales of interest in our descriptor, a new affinity matrix is constructed based on the extracted features. For large-size affinity matrixes, it is difficult to compute the proposed PMFD for all pixels of an image. Therefore, an approximate algorithm is proposed to compute the PMFD. To demonstrate the effectiveness of our method, a series of experiments on the Berkeley image segmentation dataset are implemented using the PMFD-based spectral segmentation algorithm. A comparison with other image segmentation techniques demonstrates that our method offers significantly improved pointwise spectral segmentation performance.
      PubDate: 2019-01-25
      DOI: 10.1007/s11220-019-0226-2
      Issue No: Vol. 20, No. 1 (2019)
  • Multiple Proposals for Continuous Arabic Sign Language Recognition
    • Authors: Mohamed Hassan; Khaled Assaleh; Tamer Shanableh
      Abstract: The deaf community relies on sign language as the primary means of communication. For the millions of people around the world who suffer from hearing loss, interaction with hearing people is quite difficult. The main objective of sign language recognition (SLR) is the development of automatic SLR systems to facilitate communication with the deaf community. Arabic SLR (ArSLR) specifically did not receive much attention until recent years. This work presents a comprehensive comparison between two different recognition techniques for continuous ArSLR, namely a Modified k-Nearest Neighbor which is suitable for sequential data and Hidden Markov Models (HMMs) techniques based on two different toolkits. Additionally, in this work, two new ArSL datasets composed of 40 Arabic sentences are collected using Polhemus G4 motion tracker and a camera. An existing glove-based dataset is employed in this work as well. The three datasets are made publicly available to the research community. The advantages and disadvantages of each data acquisition approach and classification technique are discussed in this paper. In the experimental results section, it is shown that classification accuracy for sign sentences acquired using a motion tracker are very similar the classification accuracy for sentences acquired using sensor gloves. The modified KNN solution is inferior to HMMs in terms of the computational time required for classification.
      PubDate: 2019-01-17
      DOI: 10.1007/s11220-019-0225-3
      Issue No: Vol. 20, No. 1 (2019)
  • Recognition of Weld Penetration During K-TIG Welding Based on Acoustic and
           Visual Sensing
    • Authors: Tao Zhu; Yonghua Shi; Shuwan Cui; Yanxin Cui
      Abstract: In the field of welding process control, on-line monitoring of welding quality based on multi-sensor information fusion has attracted more attention. In order to recognize the penetration state of the Keyhole mode Tungsten Inert Gas welded joint in real time, an acoustic and visual sensing system was established in this paper. The acoustic and visual features that characterize the penetration state of the welded joints in 34 dimensions were extracted and the variation of the acoustic signal and the keyhole geometry were analyzed. In addition, the weighted scoring criterion based on the Fisher distance and the maximum information coefficient (Fisher–MIC) and Support Vector Machine (SVM) model based on cross-validation (CV) are designed as the feature selection method. The feature selection method can evaluate the penetration recognition accuracy of different feature subsets. The experiment results show that the maximum recognition accuracy was 97.1655%, which was performed by the 10-dimension optimal feature subset and the CV–SVM model with particle swarm optimization (PSO–CV–SVM). It is proved that the selected acoustic and visual features can well characterize the penetration state of the welded joints, and the feature selection method and PSO–CV–SVM model have superior performance.
      PubDate: 2019-01-02
      DOI: 10.1007/s11220-018-0224-9
      Issue No: Vol. 20, No. 1 (2019)
  • Decluttering Using Wavelet Based Higher Order Statistics and Target
           Detection of GPR Images
    • Authors: N. Smitha; Vipula Singh
      Abstract: Images from ground penetrating radar (GPR) may be obscured by high clutter noise over the target signal, making target detection difficult. In this contribution, a decluttering technique is applied to GPR images. This clutter removal/reduction is achieved through wavelet decomposition and application of two methods using the third and fourth order statistics: skewness and kurtosis. These higher order statistics remove clutter but retain target signatures. Different scenarios are considered for real GPR images collected in our controlled lab environment set up and peak signal to noise ratio are compared for the two methods. Further features of targets and non-targets are extracted from de-noised images. These features are used in training a neural network classifier. This classifier is applied to various real GPR images with promising results for detection of targets.
      PubDate: 2018-12-10
      DOI: 10.1007/s11220-018-0223-x
      Issue No: Vol. 20, No. 1 (2018)
  • Modeling and Enhancement of Piezoelectric Accelerometer Relative
    • Authors: Salima Khaoula Reguieg; Zine Ghemari; Tarak Benslimane; Salah Saad
      Abstract: The piezoelectric accelerometer is an electronic instrument based on the direct effect of the piezoelectric material, this device is widely used in the industries to monitor and detect defects of rotating machines in an early stage. In this paper, a thorough study of the piezoelectric accelerometer is carried out to understand its design and operation principle. A mathematical model of the accelerometer is developed based on Newton motion law then a new relative sensitivity equation in function of measurement error is extracted. This new equation has allowed a significant reduction in the measurement error, a maximum improvement in the precision and an optimization of the piezoelectric accelerometer relative sensitivity by the appropriate choice of damping rate. These improvements have optimized the accelerometer parameters and performances.
      PubDate: 2018-12-04
      DOI: 10.1007/s11220-018-0222-y
      Issue No: Vol. 20, No. 1 (2018)
  • On Stability Analysis of a Class of Nonlinear Systems with a Focus on
           Composite Nonlinear Feedback Approach
    • Authors: H. Ebrahimi Mollabashi; A. H. Mazinan
      Abstract: Obtaining a desired transient performance of closed-loop system is the most important issues in impractical and industrial applications, in general. It is to note that the small overshoot and acceptable settling time of the system response are almost two typical characteristics in the transient performance. There are a number of contradictions between these performances; and therefore, a tradeoff between these ones should deeply be considered. In a word, a so-called composite nonlinear feedback (CNF) method is an efficient and simple technique which is employed to overcome the contradiction of simultaneous achievement of the mentioned transient performances. CNF based sliding mode control (SMC) for nonlinear systems with known upper bound uncertainty are considered in this paper. Unlike the existing results for the linear systems, the proposed CNF based SMC comprises two nonlinear parts. The first term assures the stability of the closed-loop nonlinear system and provides a fast convergence response. The second term reduces the overshoot of the response. Finally, to show the merits of the proposed approach, it is applied to two nonlinear Genesio’s chaotic system and a nonlinear helicopter system. The investigated results verify the effectiveness of the proposed approach.
      PubDate: 2018-10-10
      DOI: 10.1007/s11220-018-0221-z
      Issue No: Vol. 19, No. 1 (2018)
  • Plasmonic Biosensor in NIR with Chalcogenide Glass Material: On the Role
           of Probe Geometry, Wavelength, and 2D Material
    • Authors: Baljinder Kaur; Anuj K. Sharma
      Abstract: Samarium doped chalcogenide core, perfluorinated polymer clad with Ag metal and plasmonic 2D materials based plasmonic fiber-optic sensor is simulated and analyzed in near-infrared (NIR) wavelength regime. Proposed sensor is directed at the detection of the malignancy stages of liver tissues. The performance analysis (in terms of figure-of-merit, i.e., FOM) was carried out taking into account the MoS2 and graphene monolayers as performance enhancing 2D materials. The analysis suggests that FOM values of MoS2-based sensor probe are better than graphene-based probe. Further, a comparative study shows that fiber-optic probe is able to provide much better performance than prism-based probes. The FOM gets better for longer wavelength. The specificity of the biosensor can be improved by employing a suitable buffer layer (1–15 nm) as a bio-recognition element.
      PubDate: 2018-10-03
      DOI: 10.1007/s11220-018-0220-0
      Issue No: Vol. 19, No. 1 (2018)
  • Color Image Modification with and without Hue Preservation
    • Authors: Shashi Poddar; Marius Pedersen; Vinod Karar
      Abstract: Color image modification is an essential component for several applications and the grayscale transformation is generally mapped to the color image indirectly. Although several techniques have been used for this transfer, they suffer from gamut mapping issue. In this paper, it is aimed to study the mapping of grayscale transformations to the color scale in different perspectives. Modifying the image in different color space than the original retains hue to a promising extent, but suffers from the gamut problem. A generic scheme to map grayscale changes to the color space for all kinds of spatial modification is proposed here. The hue preserving color image enhancement (HPCE) scheme discussed here is free of gamut-mapping issue and shows promising results in transferring the grayscale transformation to the color image in a simplistic manner. The proposed HPCE scheme is analysed qualitatively through visual appearance and quantitatively using color difference metrics SHAME and CID, gray image difference and EBCM measures. Different gray scale transformations such as S-type enhancement and different forms of histogram equalization techniques are applied on Berkeley dataset of 500 images to prove the efficacy of proposed algorithm.
      PubDate: 2018-08-17
      DOI: 10.1007/s11220-018-0219-6
      Issue No: Vol. 19, No. 1 (2018)
  • Recognizing Anomalies in Urban Road Scenes Through Analysing Single Images
           Captured by Cameras on Vehicles
    • Authors: Shuang Bai; Chao Han; Shan An
      Abstract: In this paper, we propose to recognize anomalies in urban road scenes through analysing single images captured by cameras on driving vehicles. Anomaly detection is one of the most important functions for visual driver-assistance systems and autonomous vehicles. Anomaly detection provides drivers and autonomous vehicles important information about driving environments and help them drive more safely. In this work, we define anything on roads that are within a certain distance of a driving vehicle and pose potential dangers for it as anomalies, such as traffic accidents, reckless driven vehicles and pedestrians. The proposed approach recognizes anomalies in urban road scenes by analysing appearances of single images captured by cameras on driving vehicles. To do so, first, we collect a large number of urban road scene images that do not contain any anomalies. Second, we segment the road regions from these images and represent the obtained road regions based on the bag of visual words method. After that, we apply k-means clustering to the region representations for acquiring a small set of reference images. Third, we establish dense correspondence between input images and the reference images to create representations for the input images. Following that, representations of normal images are used to train a one-class Support Vector Machine classifier. Finally, we use the classifier to recognize images containing anomalies. Experiments on urban road scene images are conducted. Obtained results demonstrate that by using the proposed approach we can recognize urban road scene images containing anomalies.
      PubDate: 2018-08-09
      DOI: 10.1007/s11220-018-0218-7
      Issue No: Vol. 19, No. 1 (2018)
  • Lock-in Amplifier Based Eddy Current Instrument for Detection of
           Sub-surface Defect in Stainless Steel Plates
    • Authors: Anil Kumar Soni; B. Purnachandra Rao
      Abstract: For detection of sub-surface defects using eddy current (EC) method, increasing the depth of penetration of ECs is essential. This can be achieved through strengthening of the primary magnetic field from the EC probe. This can be accomplished by using low-frequency high amplitude excitation current, precise phase lag measurement and high throughput probes. Working on these lines, the paper presents development of lock-in amplifier based EC instrument and cup-core send-receive type probe. Experiment results indicate that the proposed instrument and probe is able to detect sub-surface defects located at 8.0 mm below surface and classify sub-surface as well as surface defects in stainless steel plate.
      PubDate: 2018-08-06
      DOI: 10.1007/s11220-018-0217-8
      Issue No: Vol. 19, No. 1 (2018)
  • A Just Noticeable Difference-Based Video Quality Assessment Method with
           Low Computational Complexity
    • Authors: Woei-Tan Loh; David Boon Liang Bong
      Abstract: A Just Noticeable Difference (JND)-based video quality assessment (VQA) method is proposed. This method, termed as JVQ, applies JND concept to structural similarity (SSIM) index to measure the spatial quality. JVQ incorporates three features, i.e. luminance adaptation, contrast masking, and texture masking. In JVQ, the concept of JND is refined and more features are considered. For the spatial part, minor distortions in the distorted frames are ignored and considered imperceptible. For the temporal part, SSIM index is simplified and used to measure the temporal video quality. Then, a similar JND concept which comprises of temporal masking is also applied in the temporal quality evaluation. Pixels with large variation over time are considered as not distorted because the distortions in these pixels are hardly perceivable. The final JVQ index is the arithmetic mean of both spatial and temporal quality indices. JVQ is found to achieve good correlation with subjective scores. In addition, this method has low computational cost as compared to existing state-of-the-art metrics.
      PubDate: 2018-08-06
      DOI: 10.1007/s11220-018-0216-9
      Issue No: Vol. 19, No. 1 (2018)
  • Dynamic Analysis of Rectangular Micro-plates Under Mechanical Shock in
           Presence of Electrostatic Actuation
    • Authors: Amir R. Askari; Masoud Tahani
      Abstract: Besides one dimensional beam-type MEMS, two dimensional electrically actuated rectangular micro-plates have lots of applications in micro-engineering. However, there exist only a few works devoted to the analysis of such structures in the open literature to date. Therefore, the present work focuses on the dynamic behavior of electrically actuated rectangular micro-plates under mechanical shock. The micro-plate is modeled using the non-linear Kirchhoff plate theory and the shock is assumed to be induced according to the base excitation scheme. The micro-plate motion is simulated through a novel and computationally very efficient reduced order model which accounts for the inherent non-linearity of distributed electrostatic pressure and the geometric non-linearity of von Kármán mid-plane stretching as well as the influences of both in-plane and out-of-plane displacements. The present findings are compared and successfully validated by those obtained through three-dimensional finite element analysis carried out in COMSOL Multiphysics commercial software as well as the available static results in the literature. It is found that the present procedure can remove the long run-time limitation of the finite element method and produce robust results over the whole operation range of the device up to its instability threshold especially for systems subjected to enormous shock accelerations.
      PubDate: 2018-08-01
      DOI: 10.1007/s11220-018-0215-x
      Issue No: Vol. 19, No. 1 (2018)
  • A Multi-channel System for Qualitative Explosive and Drug Detection
    • Authors: Alan Zhang; Defeng Fu; Jiancong Sun; Yu Xuan; Hui Ma
      Abstract: It is well known that under blue LED/laser illumination a class of synthetic conjugated polymers can create fluorescence, and after absorbing a certain class of explosive vapors the fluorescence will be quenched thus the explosives can be detected. The unsolved problems are how can we detect drug, TATP and nitro aromatic explosives with the same device, how can we distinguish different explosives and drugs, and how can we avoid false alarms; solving these problems are crucial for world security. We have developed a new synthetic conjugated polymer with single molecule layer and coated on porous silicon with large surface area to increase quenching signal at least one order, based on this new film a small handheld explosive detector with sensitivities of 0.1 pg for TNT and 0.1 ng for black gun powder are obtained. Many explosives and drugs (such as TNT, RDX, PETN, black gun powder, cocaine, etc.) have been tested, from their quenching curves and our data base we are able to distinguish them qualitatively and avoid false alarms. Therefore we believe our detector can be used not only for battle field but also for airports, government entrances and other security check points. Last year, after face to face competition, our device was selected as the only security detector for the G20 summit held in Hangzhou, China. Here, we will give our detailed designs to let readers develop detectors by themselves to counter terrorism in the world and save lives.
      PubDate: 2018-07-27
      DOI: 10.1007/s11220-018-0208-9
      Issue No: Vol. 19, No. 1 (2018)
  • Infrared and Visible Images Fusion with Multi-visual Cues
    • Authors: Yuhan Sun; Bin Yang
      Abstract: Image fusion is an important technique which combines the original information from multiple input images into a single composite image. The fused images will be more beneficial to human visual perception or further computer processing tasks than any individual input. Most of the traditional infrared and visible fusion approaches perform the fusion on the assumption that the original information is measured by local saliency features such as contrast or gradient. There is little consideration of the “interesting” or “useful” information in global. In this paper, an infrared and visible image fusion method is proposed by considering the final aim of image fusion, the human visual perception and further image processing tasks. The fusion is implemented under the non-subsampled contourlet transform based image fusion framework. The low frequency sub-band coefficients which represent the intensity of the scene are fused with the weight map which is constructed by considering both visual saliency uniqueness and task-oriented objectness, and refined by spatial consistency with guide filter. The new fusion strategy ensures that the objects being “interesting” or “useful” are preserved in the fused image. Sixteen pairs of infrared and visual images are used to test the validation of the proposed method. The experimental results show obvious improvement of the proposed method in terms of both objective and subjective quality measurements corresponding to other methods.
      PubDate: 2018-07-27
      DOI: 10.1007/s11220-018-0214-y
      Issue No: Vol. 19, No. 1 (2018)
  • Investigation on Structural, Morphological, Optical and Ammonia Sensing
           Properties Indium Doped Nano Crystalline ZnO Thin Films Synthesized by
           Spray Pyrolysis Technique
    • Authors: M. Rajendra Prasad; M. Haris; M. Sridharan
      Abstract: In the present work, nanostructured In doped ZnO thin films were synthesized using spray pyrolysis technique with different molarity concentrations (0.001–0.004). X-ray diffraction patterns confirms the polycrystalline nature of the films with hexagonal structure. The crystallite size is going to be increases with increase in dopant concentration. The field-emission scanning electron micrograph of undoped ZnO exhibits spherical shaped particles with intergrain pores and the intergrain pores decreases with increases in indium concentration. The transmittance and band gap is going to be decreases with increase in indium concentration. The ammonia (NH3) sensing properties of the undoped ZnO and In doped ZnO thin films were carried out at room temperature and the sensing responses of the samples towards NH3 concentrations were reported.
      PubDate: 2018-07-25
      DOI: 10.1007/s11220-018-0211-1
      Issue No: Vol. 19, No. 1 (2018)
  • A Fast and Efficient Approach for Image Compression Using Curvelet
    • Authors: Lynda Inouri; Soraya Tighidet; Mohamed Azni; Abdelkrim Khireddine; Khaled Harrar
      Abstract: In this paper a novel image compression technique using features of wavelet and curvelet transforms is proposed to improve efficiency and compression performance. Indeed, the curvelet transform is one of the recently developed multiscale transforms which is especially designed to represent efficiently curves and edges in an image. In the proposed method, the compression algorithm involves the Haar wavelet transform to decompose the image into four frequency sub-bands. The lowest frequency sub-band coefficients are processed using Set Partitioning In Hierarchical Trees (SPIHT) encoding. Meanwhile, Fast Discrete Curvelet Transform (FDCT) is applied to the remaining frequency sub-bands. The FDCT output coefficients are then quantized according to the sub-band they belong to. The lowest frequency FDCT output coefficients are quantized using Differential Pulse Code Modulation, the medium frequency coefficients are processed using SPIHT, whereas the high frequency coefficients are removed. Experimental results demonstrate that our method provides high performance for edge detection compared to existing techniques particularly for images with abrupt changes. In addition, this new image coding and decoding approach is powerful in terms of computation time. Moreover, the proposed method reveals significant improvement in compression ratio and decoded peak-signal-to-noise-ratio.
      PubDate: 2018-07-21
      DOI: 10.1007/s11220-018-0212-0
      Issue No: Vol. 19, No. 1 (2018)
  • On the Mathematical Modeling of a MEMS-Based Sensor for Simultaneous
           Measurement of Fluids Viscosity and Density
    • Authors: Ghader Rezazadeh; Mina Ghanbari
      Abstract: This paper discusses a novel microelectromechanical sensor for simultaneous measurement of fluids viscosity and density. Its operation is based on a longitudinal piezoelectric actuation of a micro-beam in a laminar fluid field. The proposed sensor consists of a micro-beam and a micro-cylindrical sensing element immersed in a fluid. In order to actuate the sensor longitudinally, the micro-beam is bonded with two piezoelectric layers on its upper and lower surfaces which are subjected to an AC voltage. The coupled governing partial differential equations of the micro-beam and fluid field have been derived. The obtained governing differential equations with time-varying boundary conditions have been transformed to an enhanced form with homogeneous boundary conditions. The enhanced equations have been discretized over the beam and fluid domain using Galerkin based reduced order model. The dynamic response of the sensing element for different piezoelectric actuation voltages and different exciting frequencies has been investigated. The effects of viscosity and density of fluids and geometrical parameters of the sensor on sensing element response have been studied.
      PubDate: 2018-07-21
      DOI: 10.1007/s11220-018-0213-z
      Issue No: Vol. 19, No. 1 (2018)
  • Super-Resolution Reconstruction via Multi-frame Defocused Images Based on
           PSF Estimation and Compressive Sensing
    • Authors: Yuxing Mao; Haiwei Jia; Chao Li; Yan Yan
      Abstract: Image super-resolution reconstruction is an effective method to improve image resolution, but most reconstruction methods rely on the clear low resolution images ignoring the blurred images which are also effective observations of the scene. Aiming at the problem, a super-resolution reconstruction (SRR) method via multi-frame defocused images is proposed. Firstly, according to the image degraded model, we establish the cost function of the point spread function (PSF) and utilize the particle swarm optimization algorithm to estimate it. Then, based on the multi-frame defocused images and PSFs, a joint reconstruction model is established to realize SRR by compressive sensing (CS) theory. In the CS framework, only the interpolated version of the low-resolution image is used for training purpose and the K-Singular Value Decomposition method is used for dictionary training. In addition, to solve the edge effect problem, an internal blur matrix is constructed according to the image blurring process, and a weight coefficient is introduced in the patch splicing process. Experiments show that the proposed algorithm can accurately estimate the defocused image PSF and achieve a good reconstruction effect.
      PubDate: 2018-07-06
      DOI: 10.1007/s11220-018-0210-2
      Issue No: Vol. 19, No. 1 (2018)
  • Design of an Ultra-low Power Wireless Temperature Sensor Based on
           Backscattering Mechanism
    • Authors: Zhongbin Chen; Fangming Deng; Zhihui Fu; Xiang Wu
      Abstract: In this paper, we propose a passive wireless temperature sensor for long-term and long-range application. A novel architecture of the wireless temperature sensor is proposed based on backscattering mechanism of RFID technology for ultra-low power application. The temperature sensor adopts phase-locked loop-based architecture and can achieve the temperature-digital conversion in frequency domain without any external clock signal. The rectifier employs a gate-boosting scheme to improve the power conversion efficiency. The measurement results show that the proposed wireless temperature sensor obtains a high linearity with a resolution of 0.3 °C/LSB. The measured minimum power dissipation is 2.7 µW, resulting in a maximum operating distance of 34 m under 4 W radiation power.
      PubDate: 2018-07-05
      DOI: 10.1007/s11220-018-0207-x
      Issue No: Vol. 19, No. 1 (2018)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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