for Journals by Title or ISSN
for Articles by Keywords

 A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  

       | Last   [Sort by number of followers]   [Restore default list]

  Subjects -> ELECTRONICS (Total: 187 journals)
Showing 1 - 200 of 277 Journals sorted alphabetically
Acta Electronica Malaysia     Open Access  
Advances in Electrical and Electronic Engineering     Open Access   (Followers: 7)
Advances in Electronics     Open Access   (Followers: 90)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Power Electronics     Open Access   (Followers: 38)
Advancing Microelectronics     Hybrid Journal  
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 337)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 26)
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: 14)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 30)
Bioelectronics in Medicine     Hybrid Journal  
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 20)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 38)
Biomedical Instrumentation & Technology     Hybrid Journal   (Followers: 6)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 13)
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: 47)
China Communications     Full-text available via subscription   (Followers: 9)
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: 295)
ECTI Transactions on Computer and Information Technology (ECTI-CIT)     Open Access  
ECTI Transactions on Electrical Engineering, Electronics, and Communications     Open Access  
Edu Elektrika Journal     Open Access   (Followers: 1)
Electrica     Open Access  
Electronic Design     Partially Free   (Followers: 117)
Electronic Markets     Hybrid Journal   (Followers: 7)
Electronic Materials Letters     Hybrid Journal   (Followers: 4)
Electronics     Open Access   (Followers: 97)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 10)
Electronics For You     Partially Free   (Followers: 100)
Electronics Letters     Hybrid Journal   (Followers: 26)
Elkha : Jurnal Teknik Elektro     Open Access  
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 55)
Energy Harvesting and Systems     Hybrid Journal   (Followers: 4)
Energy Storage Materials     Full-text available via subscription   (Followers: 3)
EPJ Quantum Technology     Open Access   (Followers: 1)
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: 207)
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 4)
IACR Transactions on Symmetric Cryptology     Open Access  
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 99)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 80)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 49)
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: 72)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 71)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 58)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 26)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 42)
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: 78)
IEEE Transactions on Signal and Information Processing over Networks     Full-text available via subscription   (Followers: 12)
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 Energy Systems Integration     Open Access  
IET Microwaves, Antennas & Propagation     Hybrid Journal   (Followers: 35)
IET Nanodielectrics     Open Access  
IET Power Electronics     Hybrid Journal   (Followers: 55)
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: 70)
Industrial Technology Research Journal Phranakhon Rajabhat University     Open Access  
Industry Applications, IEEE Transactions on     Hybrid Journal   (Followers: 35)
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: 13)
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: 11)
International Journal of Antennas and Propagation     Open Access   (Followers: 11)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 4)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 6)
International Journal of Control     Hybrid Journal   (Followers: 11)
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: 3)
International Journal of High Speed Electronics and Systems     Hybrid Journal  
International Journal of Hybrid Intelligence     Hybrid Journal  
International Journal of Image, Graphics and Signal Processing     Open Access   (Followers: 16)
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (Followers: 10)
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: 25)
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: 11)
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: 32)
Journal of Electrical Bioimpedance     Open Access  
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: 8)
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 9)
Journal of Electronic Design Technology     Full-text available via subscription   (Followers: 6)
Journal of Electronics (China)     Hybrid Journal   (Followers: 5)
Journal of Energy Storage     Full-text available via subscription   (Followers: 4)
Journal of Engineered Fibers and Fabrics     Open Access   (Followers: 2)
Journal of Field Robotics     Hybrid Journal   (Followers: 3)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 175)
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: 10)
Journal of Low Power Electronics and Applications     Open Access   (Followers: 10)
Journal of Microelectronics and Electronic Packaging     Hybrid Journal  
Journal of Microwave Power and Electromagnetic Energy     Hybrid Journal   (Followers: 3)
Journal of Microwaves, Optoelectronics and Electromagnetic Applications     Open Access   (Followers: 11)
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: 29)
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 ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer     Open Access  
Jurnal Rekayasa Elektrika     Open Access  
Jurnal Teknik Elektro     Open Access  
Jurnal Teknologi 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: 6)
Microelectronics and Solid State Electronics     Open Access   (Followers: 27)
Nanotechnology Magazine, IEEE     Full-text available via subscription   (Followers: 41)
Nanotechnology, Science and Applications     Open Access   (Followers: 6)
Nature Electronics     Hybrid Journal   (Followers: 1)
Networks: an International Journal     Hybrid Journal   (Followers: 5)
Open Electrical & Electronic Engineering Journal     Open Access  
Open Journal of Antennas and Propagation     Open Access   (Followers: 9)
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: 2)
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)
Revue Méditerranéenne des Télécommunications     Open Access  
Security and Communication Networks     Hybrid Journal   (Followers: 2)
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of     Hybrid Journal   (Followers: 56)
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: 78)
Solid State Electronics Letters     Open Access  
Solid-State Circuits Magazine, IEEE     Hybrid Journal   (Followers: 13)
Solid-State Electronics     Hybrid Journal   (Followers: 9)
Superconductor Science and Technology     Hybrid Journal   (Followers: 3)
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: 9)
Transactions on Electrical and Electronic Materials     Hybrid Journal  
Universal Journal of Electrical and Electronic Engineering     Open Access   (Followers: 6)
Ural Radio Engineering Journal     Open Access  
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  

       | Last   [Sort by number of followers]   [Restore default list]

Similar Journals
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  [2373 journals]
  • Facilitating Displacement of a Micro-scale Liquid Marble Using Electric
    • Abstract: This paper discusses a novel theoretical treatment for facilitating displacement of a micro-scale liquid marble. It can be beneficial in designing microsensors as liquid-state micro accelerometers. In this work, the marble has been placed on the substrate under which the finger electrodes are located. The marble has been bounded with another rigid plate above it. To overcome the complexities of the marble displacement, initially, it has been deformed utilizing the electric field. This deforming electric field is generated via applying a sufficient DC voltage to the top, and bottom fixed plates. The electrostatic manipulating force exerting on the marble opposes the marble’s gravity, reduces its contact zone area and eventually causes the marble to get spherical form approximately. For displacing the marble, another electric and considerably weaker field than deforming one is applied to the marble via finger electrodes. The displacing electric field, which causes the marble to roll, is created via applying a DC voltage to the finger electrodes underneath the substrate. The displacing potentials are set to be on and off regularly to accelerate the movement of the marble. It has been shown that for a liquid marble with an effective radius of 1 μm, applying the approximate value of 42 V can deform the marble to a spherical, shaped one. It was also indicated that the air friction force exerting on the marble during its displacement leads to the constant-velocity motion of the marble eventually.
      PubDate: 2019-09-23
  • An Efficient Adaptive Interpolation for Bayer CFA Demosaicking
    • Abstract: Demosaicking refers to the image processing of reconstruction full color image from the raw incomplete samples recorded by a single-chip image sensor. For most available demosaicking methods, the image edges are important cues to design the interpolation scheme, and the accuracy of edge estimation has great influence on the reconstructed image quality. In this paper, a block edge estimation method is proposed by considering all the color channels comprehensively. Based on the novel edge estimation method, the proposed algorithm firstly interpolates the G channel pixels with the guidance of the color correlation and edge directions. The interpolated G channel is further used to help the R and B channel interpolations in sequence. In addition, a border pixels interpolation strategy is also presented to overcome the difficulties of the gradient estimation at border positions. Both Kodak and IMAX data set are used to test the validation of the proposed methods. The experimental results demonstrate that the proposed algorithm provides superior performances in terms of both objective evaluate and subjective visual quality.
      PubDate: 2019-09-13
  • Robust Face Recognition Method Based on Kernel Regularized Relevance
           Weighted Discriminant Analysis and Deterministic Approach
    • Abstract: A novel feature dimensionality reduction strategy based on kernel regularized relevance weighted discriminant analysis is proposed in this paper with some interesting characteristics. First, the proposed method has shown its effectiveness in dealing with a small sample size problem when using the regularized linear discriminant analysis (RLDA) technique and Kernel theory. Second, a new computation method is proposed to solve the complicated and inefficient computation procedure problem in the traditional RLDA technique while using the cross-validation method. The experimental results indicate that the proposed algorithm shows better performance than the other methods.
      PubDate: 2019-08-26
  • Hyperspectral Imaging System: Development Aspects and Recent Trends
    • Abstract: The convergence of spectroscopy and imaging technologies, emerge into a single sensing technology i.e., provides spatial and spectral information of the objects under investigation. The hyperspectral technique is one of the popular techniques used in numerous fields of study to determine size, shape, texture, material composition, morphology and external defects. The main advantage of this sensing technology lies in the fact that it is capable not only makes direct assessment of the material under study but also it can indicate the spatial distribution of the selected parameters. The aim of this paper is to present a detailed outline of the principles, background, acquisition methods, component descriptions and recent advances of the hyperspectral imaging systems for laboratory and industrial environments.
      PubDate: 2019-08-13
  • Apertured EBG-Based Microwave Patch Antenna for Characterization of
           Corrosion in Steel Rebar of Civil Structures
    • Abstract: This paper presents the design and fabrication of a prototype microwave patch antenna system for non-destructive corrosion monitoring of embedded steel rebar in civil structures. A planar rectangular patch for 2.4 GHz resonant frequency is modeled and loaded with electromagnetic bandgap (EBG) structure having an aperture slot of 2 × 10 cm2 in the center. The EBG plane provides confined radiation from its aperture and suppresses any destructive interference in the sensing area. The proposed patch sensor is fabrication using RO4450B substrate and tested on autoclaved aerated concrete and concrete block. The EBG superstrated patch is mounted on the test specimen and magnitude of reflection coefficient (S11) is measured at the near-field distance. A change in the intensity of scattered fields because of the oxide layer formed over the rebar by corrosion process is observed and measured. Analysis of weight loss of rebar due to corrosion is correlated with scattering parameter and equivalent DC voltage signaling. The measured results show that the proposed sensing technique is useful in corrosion detection of rebar inside the civil structures.
      PubDate: 2019-07-29
  • The Auto-focus Method for Scanning Acoustic Microscopy by Sparse
    • Abstract: As an efficient non-destructive checking technique, scanning acoustic microscopy has been rapidly developed and widely used in nondestructive detection for composites, chip manufacturing, bio-pharmaceuticals and so on. Scanning acoustic microscopy can obtain the two-dimensional image and reconstruct three-dimensional model of the internal structure inside the sample, compared with the optical microscope. Due to the geometrical features of high frequency transducer, the precision of focus has already become the key factor for the digital imaging and defect detecting. Especially for the current 3D packaging chips and multi-layer composite materials, thickness of layer has reached the level of nm. Different focus plane will provide a completely different digital image. However, the process of focusing has been relying on manual operation without great development until now. To improve the speed and accuracy of the focusing, we proposed a quick auto-focus method on scanning acoustic microscopy. This method can be divided into three steps. The first one is fast auto-focusing on upper surface, the second other one is auto-focusing on the interlayer base on \(V(z)\) curve, and the last one is to improve the A-Scan signal of points in the \(V(z)\) curve with spars signal representation. This method is integrated into Scanning Acoustic Microscopy imaging software and has been validated in the experiment with Olympus transducers at 30\50 MHz. It can be seen that this method can effectively improve the accuracy of focus and shorten the focus time of Scanning Acoustic Microscopy through experiments.
      PubDate: 2019-07-23
  • Sample Selection Based Change Detection with Dilated Network Learning in
           Remote Sensing Images
    • Abstract: The change detection system plays an active role in remote sensing images by detecting the changes in the image environment. Changes may be occur frequently due to the seasonal factors such as deforestation, natural disorders, etc. The objective of this paper is to develop an effective approach to find the changes that were experienced over a time period. The changes detected by difference image (DI) method is not efficient because it has the drawbacks in speckle noise suppression and classification, also the quality of DI affects the change map. This paper proposes a sample selection-multiple dilated convolutional neural network for the detection of changed and unchanged areas. In this, multiple dilation rates are incorporated, that overcome the existing gridding problems in network. The feature map determined at fully connected network extracts the global information by widening the receptive field that covers all the regions without any missing portions in the image. Hence, this type of architecture improves the learning in deep network by detecting the changes accurately. Finally, the trained network model achieves a feature map from the two images with the classified result of changed and unchanged pixels. The accuracy of the proposed change detection result provides improved results as compared with the existing algorithms. The performance metrics like false positive, false negative, overall error, the percentage of correct classification and Kappa are used for the estimation of the proposed image change detection task. Experiments are conducted on seven real datasets, and the result shows the better detection result than the other existing approaches.
      PubDate: 2019-07-06
  • Novel Features for Character Extraction of Historical Chinese Seal Images
    • Abstract: Characters in the historical seals is valuable for the research of corresponding documents. Character extraction for these seals is challenging because of the special characteristics of the seals such as the different carving type (rilievi or diaglyph) and variant border form. Thus most existing character extraction methods do not work well with the images of the historical seals. In this paper, a new character extraction method is proposed based on novel features of the scanned seal images. First, the border width feature and structure feature of each scanned seal image are extracted by analysis of the probabilistic density distribution of border width and brightness of each column. Meanwhile, the optimal border width for rilievi or a starting position of border for diaglyph are generated for subsequent border removal and character extraction. The tri-border feature is used to differentiate between diaglyph and tri-border diaglyph. Then a decision tree is built to classify the seal images into rilievi and diaglyph. The classification result is used to divide background, border and character. After the border is removed with the optimal border width estimated from border width feature, the characters are finally extracted from the seal image. Experimental results on the real data set show that the proposed method classifies the scanned seal image accurately and extracts the characters effectively.
      PubDate: 2019-07-06
  • Structuring Description for Product Image Data with Multilabel
    • Abstract: Existing product data, presented as description documents, product images, etc., are very significant references for designing a new proposal. However, traditionally, the data collected manually only contain the product images without description documents. Obtaining reasonable description of product is a challenging task due to the high cost and labor-intensive process of human annotation. In this paper, a new approach is introduced to solve this problem and improve the efficiency of description by exploiting the potential information of product images. We propose a robust framework with multi-label learning to annotate each product image with several labels, which makes a brief description of the product from different aspects. An efficient method is proposed to accomplish product data acquisition, arrangement and analysis task to construct new data in images collection step. Furthermore, for the newly structured data, robust algorithms are employed to accomplish the data processing. Based on the processed data, automatic and semi-automatic multi-label annotation methods are applied to generate the labels for product images. We present the prediction results by several state-of-the-art multi-label learning classifiers based on the features extracted from different convolution neural framework. The results are evaluated by effective measures to validate the quality of the labeling result, as well as the predictive performance with respect to the number of the training examples. Experimental results indicate that the quality of the annotation is reasonable, and the proposed method can achieve excellent prediction accuracy based on the annotated data, generating satisfactory description for the products.
      PubDate: 2019-07-05
  • New Product Design with Automatic Scheme Generation
    • Abstract: Traditionally, design schemes were usually drawn manually or with the help of graphics software. These methods are usually labor-intensive and time-consuming. The design field calls for advanced product design, which will be highly efficient and meet more individualized demands for customized manufacturing. In this paper, a new design approach is introduced to assist designers to improve the efficiency of product design with automatic sample generation algorithms. This approach mainly consists of two parts: design scheme generation and sketch inversion. For design scheme generation, we adopt the generative adversarial networks to extract features from the existing product images and generate new design schemes based on these features. This is followed by post-processing including wire frame design and sketch design. Meanwhile, for sketch inversion, the sketches are generated and input along with the corresponding color images to train the sketch inversion model. With this model, hand-drawn sketches are transferred into color design schemes. We take watch designing as an example to validate the effectiveness of the proposed method on design scheme generation and sketch inversion. Experimental results demonstrate that the proposed design scheme generation method can generate new product design schemes, and further sketch inversion process can transfer them into color design schemes with high quality.
      PubDate: 2019-07-02
  • Analysis of Performance of Howland AC Current Source for Electrical
           Impedance Spectro-Tomography
    • Abstract: Electrical impedance tomography (EIT) is a technique that is able to deliver valuable information on conductivity distribution in a process. An extension to conventional EIT is electrical impedance spectro-tomography (EIST) which is offering spectroscopic information. Along with methodological advancement of EIST and to meet practical requirements, there are ongoing researches to develop proper high-quality EIST hardware. An important part of EIST hardware is voltage controlled current source which its design is appeared to be a challenging task. This paper addresses briefly the aspects of EIST system and discusses the effect of various factors and their joint impacts on commonly used Howland voltage controlled current sources for EIST application. To perform realistic simulations, practical load and electrode model are applied within sensing bandwidth. The simulation results revealed the considerable impact of resistors tolerance on reducing the output impedance of the current sources in low frequencies while increasing the operating frequency significantly reduces the impact of tolerance. The simulation also demonstrates that the load current relative error is directly proportional to the resistors’ tolerance and its value approaches the ideal state, with zero-tolerance resistors, by increasing operating frequency. This point can be employed to determine the minimum operating frequency in which the impact of resistors tolerance can be canceled. The results imply that by using resistors with a lower tolerance, it is possible to achieve wider bandwidth in EIST. It can also be concluded that dual op-amp Howland current source is a suitable choice for EIST application.
      PubDate: 2019-06-24
  • Simulation Research of Impact of Number of Coils in EMT Sensors on
           Reconstructed Images Quality
    • Abstract: Electromagnetic tomography (EMT) has been developed for visualizing the conductivity distribution of materials with multi-coil electromagnetic sensors. It is crucial to design an optimized EMT sensor for the improvement of reconstructed images quality. The selection of the number of coils is discussed in this paper due to its great importance to system performance and system complexity. It is commonly believed that more coils in EMT sensor would obtain better performance of reconstructed images. In order to study the impact of number of coils in EMT sensors on quality of reconstructed images, five kinds of sensors with different number of coils including 4, 8, 12, 16 and 20, are involved to conduct numerical simulations. EMT forward problem can be solved through implementing finite element method, then measurements and sensitivity matrix are obtained, which can be used to solve EMT inverse problem with proper image reconstruction algorithms. Five typical conductivity distributions are used to verify the performance of EMT sensors with different number of coils. The sensitivity matrices of different EMT sensors are analyzed to further explain the essential reason of these numerical simulation results using singular value decomposition. It can be concluded that EMT sensor with 16 coils produces good-enough image reconstruction results for most of the typical conductivity distributions. Limited improvement can be obtained in the quality of reconstructed images when the number of coils is more than 16.
      PubDate: 2019-06-17
  • An Automatic Stopping Criterion for Contrast Enhancement Using Multi-scale
           Top-Hat Transformation
    • Abstract: Image contrast enhancement is frequently referred to as one of the most important issues in image processing because it is a necessary pre-processing step in many computer vision and image processing algorithms. Contrast enhancement is normally required to increase the quality of low contrast images by expanding the dynamic range of input gray level. However, image contrast enhancement without disturbing other parameters of the image is one of the difficult tasks in image processing. To efficiently enhance images, algorithms based on multi-scale top-hat morphological transform (MSTH) have been proposed. However, scale selection to stop the algorithm is very subjective and empirical. In order to automatically select the iterations number required by MSTH algorithm, an automatic stopping criterion based on the contrast improvement ratio revisited is proposed in this paper.
      PubDate: 2019-06-10
  • Experimental Research of In Vivo Mouse Cardiac 4D Micro-CT Imaging via
           Deformation Vector Field Registration
    • Abstract: In the radiation therapy, high-quality four-dimensional (4D) Cone-beam Computed Tomography data of patients with lung cancer can be obtained by deforming prior images using estimated deformation vector fields (DVF). In pre-clinical field, meanwhile, four-dimensional Micro-Computed Tomography (4D Micro-CT) imaging is also a promising tool to explore long-term cardiopulmonary diseases via in vivo mouse models. However, since the respiration and heart rates of mice are 8 times faster than those of humans, and the higher resolution of Micro-CT even requires more projection views, the 4D Micro-CT imaging of mice is more challenging than that of human being. In this paper, we integrate the DVF registration method with retrospective gating technology, and try to realize cardiac 4D Micro-CT imaging of in vivo mouse. The whole experimental research is completed on our self-developed Micro-CT platform, and the procedures of implementation are as follows. Firstly, the multi-turn projection data through a specific scanning protocol is obtained, and then the projection views locating in the respiratory resting period are picked and categorized into different groups in terms of phase information acquired from the respiratory and ECG gating sub-system. Secondly, the selected projection data is reconstructed via the ordered subsets simultaneous algebraic reconstruction technique algorithm as prior images. Finally, the images within different cardiac phases are made by deforming the prior images using optimized DVF. The results show every one 4D Micro-CT image series with 5 cardiac phases can be secured through one scan, which all bear clear heart contours and are with less streak artifacts, and the images made by the proposed method have higher signal noise ratio compared with those by conventional algorithms. A similar performance can be obtained when the angular sampling interval decreases. Hence, the proposed 4D cardiac imaging technology can effectively characterize the cardiac motion, and can be developed as a professional tool to image the heart of a living mouse dynamically.
      PubDate: 2019-06-05
  • Synthetic Aperture Imaging Beyond Foreground Using Image Matting
    • Abstract: Synthetic aperture imaging is widely applied to reconstruct the occluded objects. Unfortunately, due to the superimposition of foreground rays, blurriness occurs in reconstructed images, which leads to an undesirable quality of reconstruction result. Screening effective rays before synthetic aperture imaging become the key to improve the quality of reconstructed image. In this paper, we propose a method to remove interference from occlusion in synthetic aperture imaging by using image matting. By focusing on the occlusion plane, the focusing degree of synthetic aperture imaging result can roughly label occlusions and non-occlusions. These labels can serve as the scribbles of input image of image matting, which can distinguish occlusions and backgrounds more precisely. After that, the focusing at the desired depth is by averaging pixels without occlusions. The experimental results show that our method can effectively remove the blur in the reconstruction results. We demonstrate the superiority of our method by presenting experimental results as well as comparing our method with other’s methods.
      PubDate: 2019-05-30
  • Electrostatic Read Out for Label-Free Assays Based on Kelvin Force
    • Abstract: Detection methods and analytical devices have drawn increasing attention in recent years due to their direct impact on early detection, monitoring and diagnosis of disease in medical research. In this work, we describe a simple but so far unrecognized label-free method for surface-bound analyte detection, which could be applicable to a wide range of substances. In this respect, the feasibility and practical aspects of a micrometer-scale, poly-l-lysine-based, solid-phase assay for label-free analyte detection with electrostatic read-out are investigated. Micropatterned poly-l-lysine layers were produced using soft-lithography on mica and their electrostatic surface potential was determined using Kelvin-probe Force Microscopy. Ribose, a natural sugar, was used as analyte. Upon exposure to ribose, the surface potential changed from positive to negative in a reversible manner. We report for the first time the use of an electrostatic principle for assay read-out. This purely physical effect could be used to develop label- and marker-free assays for sugars, various other substances or, possibly, biosensors. Graphical
      PubDate: 2019-05-29
  • Correction to: CMOS Image Sensor with Tunable Conversion Gain for Improved
    • Abstract: The original version of this article unfortunately contained a mistake. Figure 1 was partly missing at the bottom in the pdf and xml versions of the article.
      PubDate: 2019-05-27
  • Discriminative Analysis of Depression Patients Studied with Structural MR
           Images Using Support Vector Machine and Recursive Feature Elimination
    • Abstract: Currently, the diagnosis of depression is largely based on clinical judgments due to the absence of objective biomarkers. There are increasing evidences that depression (DP) is associated with structural abnormalities. However, the previous analyses have a poor predictive power for individuals. To discriminate DP patients from normal controls (NCs) studied with structural magnetic resonance images using the method of support vector machine (SVM) combined with recursive feature elimination (RFE). In this study, 40 DP patients and 40 age- and sex-matched NCs were recruited from Guangzhou Brain Hospital and the local community, respectively. We calculated gray matter volume (GMV) and white matter volume (WMV) of 210 cortical and 36 subcortical regions, defined by the Human Brainnetome Atlas. The group differences between DP patients and NCs were compared. The method of SVM combined with RFE was applied into the discriminative analysis of DP patients from NCs, in which discriminative features were drawn from GMV and WMV. We found that the DP patients showed significant GMV reductions in eight brain regions and showed significant WMV reductions in ten brain regions. The classifier using GMV as input features achieved the best performance (an accuracy of 86.25%, a sensitivity of 85%, and a specificity of 87.5%) in the discriminative analyses between DP patients and NCs. These findings provided evidences that specific structural brain regions associated with DP patients might qualify as a potential biomarker for disease diagnosis, and the machine-learning method of SVM with RFE may reveal neurobiological mechanisms in distinguishing DP patients from NCs.
      PubDate: 2019-05-27
  • A Simple MCU and RF-Based Wetness Detector
    • Abstract: Diapers rash are harmful to the babies and the elderly; so, wetness detection technologies have been sophisticated by many research worker to assist in discovering these events. The study and survey offered here looked into a radio frequency-based microcontroller and GSM for wetness detection. One of the crucial concerns is not only the detection of humidity but the Health complications of diapers rash. This study utilizes a wetness detection system with different types of alarms: audio buzz, flashing light emitting diode, and Smartphone. Our proposed system consists of a wetness sensor, microcontroller, radio frequency transceiver microcontroller, and GSM modem, or computer. Two thin wires between diaper sheets or layers of medical dressing set up the wetness sensor. The two or four thin wires connect to a couple of pressing studs sticking out from one end of the diaper or gauze. When the wires are wetted, the resistance between the studs falls down a pre-established threshold, launching the alarm. Radio Frequency transceiver passes the warning alarm through Microcontroller to the GSM modem. Consequently, Smartphone and other devices forward the alarm to whom it may concern wetness or bleeding is occurring.
      PubDate: 2019-05-23
  • A 3D Normal Human Ear Atlas of Voxel-Based CT Images
    • Abstract: For the quantitative analysis of medical images in clinical research, diagnosis and treatment, a reliable basic framework for developing a normal human ear atlas of voxel-based computed tomography (CT) images was proposed. We annotated 10 precise ear structures with different labels from 64 patients with normal ear structures. Paired-samples t test, Pearson’s test and descriptive statistics were carried on the volume and coordinate data, which were first obtained from annotation to verify the correlation and difference. In addition, we constructed a three dimensional (3D) model of the standard human ear atlas with six views for presentation. Through a series of statistical analyses, a standard 3D normal human ear atlas containing volume and spatial data was obtained from voxel-based CT images. There was a significant negative correlation exists between age and the volume of the incus, and no correlation with other structures. There was no significant correlation between slice thickness and the volume of 10 structures. The volume of most structures on both sides is significantly correlated and there was no significant difference in the volume of most structures on both sides except for the jugular foramen. Besides, the coordinate range of the bilateral structures is relatively consistent. The specific volume and spatial data for the human ear atlas are helpful in the diagnosis of abnormalities, and this 3D normal human ear atlas will provide new insights for radiologists in clinical research.
      PubDate: 2019-05-13
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
Home (Search)
Subjects A-Z
Publishers A-Z
Your IP address:
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-