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  Subjects -> ENGINEERING (Total: 2410 journals)
    - CHEMICAL ENGINEERING (206 journals)
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    - ENGINEERING (1268 journals)
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ENGINEERING (1268 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 1205 Journals sorted alphabetically
3 Biotech     Open Access   (Followers: 8)
3D Research     Hybrid Journal   (Followers: 21)
AAPG Bulletin     Hybrid Journal   (Followers: 8)
AASRI Procedia     Open Access   (Followers: 15)
Abstract and Applied Analysis     Open Access   (Followers: 3)
Aceh International Journal of Science and Technology     Open Access   (Followers: 3)
ACS Nano     Hybrid Journal   (Followers: 281)
Acta Geotechnica     Hybrid Journal   (Followers: 7)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 7)
Acta Polytechnica : Journal of Advanced Engineering     Open Access   (Followers: 3)
Acta Scientiarum. Technology     Open Access   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Active and Passive Electronic Components     Open Access   (Followers: 7)
Adaptive Behavior     Hybrid Journal   (Followers: 11)
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi     Open Access  
Adsorption     Hybrid Journal   (Followers: 4)
Advanced Engineering Forum     Full-text available via subscription   (Followers: 7)
Advanced Journal of Graduate Research     Open Access  
Advanced Science     Open Access   (Followers: 5)
Advanced Science Focus     Free   (Followers: 5)
Advanced Science Letters     Full-text available via subscription   (Followers: 10)
Advanced Science, Engineering and Medicine     Partially Free   (Followers: 7)
Advanced Synthesis & Catalysis     Hybrid Journal   (Followers: 17)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 3)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Complex Systems     Hybrid Journal   (Followers: 7)
Advances in Engineering Software     Hybrid Journal   (Followers: 27)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 16)
Advances in Fuzzy Systems     Open Access   (Followers: 5)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 13)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 21)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 22)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 9)
Advances in Natural Sciences: Nanoscience and Nanotechnology     Open Access   (Followers: 29)
Advances in Operations Research     Open Access   (Followers: 12)
Advances in OptoElectronics     Open Access   (Followers: 6)
Advances in Physics Theories and Applications     Open Access   (Followers: 14)
Advances in Polymer Science     Hybrid Journal   (Followers: 44)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Remote Sensing     Open Access   (Followers: 45)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Aerobiologia     Hybrid Journal   (Followers: 3)
African Journal of Science, Technology, Innovation and Development     Hybrid Journal   (Followers: 6)
AIChE Journal     Hybrid Journal   (Followers: 35)
Ain Shams Engineering Journal     Open Access   (Followers: 5)
Akademik Platform Mühendislik ve Fen Bilimleri Dergisi     Open Access   (Followers: 1)
Alexandria Engineering Journal     Open Access   (Followers: 1)
AMB Express     Open Access   (Followers: 1)
American Journal of Applied Sciences     Open Access   (Followers: 26)
American Journal of Engineering and Applied Sciences     Open Access   (Followers: 10)
American Journal of Engineering Education     Open Access   (Followers: 11)
American Journal of Environmental Engineering     Open Access   (Followers: 16)
American Journal of Industrial and Business Management     Open Access   (Followers: 24)
Annals of Combinatorics     Hybrid Journal   (Followers: 4)
Annals of Pure and Applied Logic     Open Access   (Followers: 3)
Annals of Regional Science     Hybrid Journal   (Followers: 7)
Annals of Science     Hybrid Journal   (Followers: 7)
Antarctic Science     Hybrid Journal   (Followers: 1)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applicable Analysis: An International Journal     Hybrid Journal   (Followers: 1)
Applied Catalysis A: General     Hybrid Journal   (Followers: 6)
Applied Catalysis B: Environmental     Hybrid Journal   (Followers: 18)
Applied Clay Science     Hybrid Journal   (Followers: 6)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 11)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 4)
Applied Nanoscience     Open Access   (Followers: 8)
Applied Network Science     Open Access   (Followers: 3)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Physics Research     Open Access   (Followers: 5)
Applied Sciences     Open Access   (Followers: 3)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5)
Arab Journal of Basic and Applied Sciences     Open Access  
Arabian Journal for Science and Engineering     Hybrid Journal   (Followers: 5)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
Archives of Foundry Engineering     Open Access  
Archives of Thermodynamics     Open Access   (Followers: 9)
Arkiv för Matematik     Hybrid Journal   (Followers: 1)
ASEE Prism     Full-text available via subscription   (Followers: 3)
Asia-Pacific Journal of Science and Technology     Open Access  
Asian Engineering Review     Open Access  
Asian Journal of Applied Science and Engineering     Open Access   (Followers: 1)
Asian Journal of Applied Sciences     Open Access   (Followers: 2)
Asian Journal of Biotechnology     Open Access   (Followers: 9)
Asian Journal of Control     Hybrid Journal  
Asian Journal of Current Engineering & Maths     Open Access  
Asian Journal of Technology Innovation     Hybrid Journal   (Followers: 8)
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
ATZagenda     Hybrid Journal  
ATZextra worldwide     Hybrid Journal  
Australasian Physical & Engineering Sciences in Medicine     Hybrid Journal   (Followers: 1)
Australian Journal of Multi-Disciplinary Engineering     Full-text available via subscription   (Followers: 2)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 9)
Avances en Ciencias e Ingeniería     Open Access  
Balkan Region Conference on Engineering and Business Education     Open Access   (Followers: 1)
Bangladesh Journal of Scientific and Industrial Research     Open Access  
Basin Research     Hybrid Journal   (Followers: 5)
Batteries     Open Access   (Followers: 6)
Bautechnik     Hybrid Journal   (Followers: 1)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 28)
Beni-Suef University Journal of Basic and Applied Sciences     Open Access   (Followers: 4)
BER : Manufacturing Survey : Full Survey     Full-text available via subscription   (Followers: 1)
BER : Motor Trade Survey     Full-text available via subscription  
BER : Retail Sector Survey     Full-text available via subscription   (Followers: 1)
BER : Retail Survey : Full Survey     Full-text available via subscription   (Followers: 1)
BER : Survey of Business Conditions in Manufacturing : An Executive Summary     Full-text available via subscription   (Followers: 3)
BER : Survey of Business Conditions in Retail : An Executive Summary     Full-text available via subscription   (Followers: 3)
Beyond : Undergraduate Research Journal     Open Access  
Bhakti Persada : Jurnal Aplikasi IPTEKS     Open Access  
Bharatiya Vaigyanik evam Audyogik Anusandhan Patrika (BVAAP)     Open Access   (Followers: 1)
Bilge International Journal of Science and Technology Research     Open Access  
Biofuels Engineering     Open Access   (Followers: 1)
Biointerphases     Open Access   (Followers: 1)
Biomaterials Science     Full-text available via subscription   (Followers: 11)
Biomedical Engineering     Hybrid Journal   (Followers: 15)
Biomedical Engineering     Hybrid Journal   (Followers: 1)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Engineering Letters     Hybrid Journal   (Followers: 5)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 21)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 37)
Biomedical Engineering: Applications, Basis and Communications     Hybrid Journal   (Followers: 5)
Biomedical Microdevices     Hybrid Journal   (Followers: 8)
Biomedical Science and Engineering     Open Access   (Followers: 4)
Biomicrofluidics     Open Access   (Followers: 4)
BioNanoMaterials     Open Access   (Followers: 2)
Biotechnology Progress     Hybrid Journal   (Followers: 40)
Bitlis Eren University Journal of Science and Technology     Open Access  
Boletin Cientifico Tecnico INIMET     Open Access  
Botswana Journal of Technology     Full-text available via subscription   (Followers: 1)
Boundary Value Problems     Open Access   (Followers: 1)
Brazilian Journal of Science and Technology     Open Access   (Followers: 2)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 12)
Bulletin of Canadian Petroleum Geology     Full-text available via subscription   (Followers: 13)
Bulletin of Engineering Geology and the Environment     Hybrid Journal   (Followers: 14)
Bulletin of the Crimean Astrophysical Observatory     Hybrid Journal  
Cahiers, Droit, Sciences et Technologies     Open Access  
Calphad     Hybrid Journal   (Followers: 2)
Canadian Geotechnical Journal     Hybrid Journal   (Followers: 31)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 43)
Case Studies in Engineering Failure Analysis     Open Access   (Followers: 6)
Case Studies in Thermal Engineering     Open Access   (Followers: 6)
Catalysis Communications     Hybrid Journal   (Followers: 6)
Catalysis Letters     Hybrid Journal   (Followers: 2)
Catalysis Reviews: Science and Engineering     Hybrid Journal   (Followers: 7)
Catalysis Science and Technology     Free   (Followers: 8)
Catalysis Surveys from Asia     Hybrid Journal   (Followers: 3)
Catalysis Today     Hybrid Journal   (Followers: 7)
CEAS Space Journal     Hybrid Journal   (Followers: 2)
Cellular and Molecular Neurobiology     Hybrid Journal   (Followers: 3)
Central European Journal of Engineering     Hybrid Journal  
Chaos : An Interdisciplinary Journal of Nonlinear Science     Hybrid Journal   (Followers: 2)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
Chinese Journal of Engineering     Open Access   (Followers: 2)
Chinese Science Bulletin     Open Access   (Followers: 1)
Ciencia e Ingenieria Neogranadina     Open Access  
Ciencia en su PC     Open Access   (Followers: 1)
Ciencias Holguin     Open Access   (Followers: 3)
CienciaUAT     Open Access   (Followers: 1)
Cientifica     Open Access  
CIRP Annals - Manufacturing Technology     Full-text available via subscription   (Followers: 11)
CIRP Journal of Manufacturing Science and Technology     Full-text available via subscription   (Followers: 13)
City, Culture and Society     Hybrid Journal   (Followers: 22)
Clay Minerals     Full-text available via subscription   (Followers: 10)
Clean Air Journal     Full-text available via subscription   (Followers: 1)
Clinical Science     Hybrid Journal   (Followers: 9)
Coal Science and Technology     Full-text available via subscription   (Followers: 3)
Coastal Engineering     Hybrid Journal   (Followers: 11)
Coastal Engineering Journal     Hybrid Journal   (Followers: 6)
Coatings     Open Access   (Followers: 4)
Cogent Engineering     Open Access   (Followers: 2)
Cognitive Computation     Hybrid Journal   (Followers: 4)
Color Research & Application     Hybrid Journal   (Followers: 3)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 14)
Combustion, Explosion, and Shock Waves     Hybrid Journal   (Followers: 15)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Information Science and Management Engineering     Open Access   (Followers: 4)
Communications in Numerical Methods in Engineering     Hybrid Journal   (Followers: 2)
Components, Packaging and Manufacturing Technology, IEEE Transactions on     Hybrid Journal   (Followers: 28)
Composite Interfaces     Hybrid Journal   (Followers: 7)
Composite Structures     Hybrid Journal   (Followers: 289)
Composites Part A : Applied Science and Manufacturing     Hybrid Journal   (Followers: 219)
Composites Part B : Engineering     Hybrid Journal   (Followers: 256)
Composites Science and Technology     Hybrid Journal   (Followers: 200)
Comptes Rendus Mécanique     Full-text available via subscription   (Followers: 2)
Computation     Open Access   (Followers: 1)
Computational Geosciences     Hybrid Journal   (Followers: 16)
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Science and Engineering     Open Access   (Followers: 19)
Computers & Geosciences     Hybrid Journal   (Followers: 31)
Computers & Mathematics with Applications     Full-text available via subscription   (Followers: 8)
Computers and Electronics in Agriculture     Hybrid Journal   (Followers: 5)
Computers and Geotechnics     Hybrid Journal   (Followers: 11)
Computing and Visualization in Science     Hybrid Journal   (Followers: 7)
Computing in Science & Engineering     Full-text available via subscription   (Followers: 34)
Conciencia Tecnologica     Open Access  
Concurrent Engineering     Hybrid Journal   (Followers: 3)

        1 2 3 4 5 6 7 | Last

Journal Cover
3D Research
Journal Prestige (SJR): 0.222
Citation Impact (citeScore): 1
Number of Followers: 21  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Online) 2092-6731
Published by Springer-Verlag Homepage  [2348 journals]
  • Detection of Choroidal Neovascularization Through Characterization of
           Changes in Anterior and Posterior Eye Segments
    • Authors: G. Anitha; Mohamed Ismail
      Abstract: Choroidal neovascularization (CNV) is an age related eye disease caused due to the growth of new blood vessels beneath the retina which leads to vision loss. This is identified by analyzing the changes in the anterior segment such as filtration angle, which is one of the important parameters in ophthalmology and analyzing the posterior segment of the retinal image such as thickness of fusiform and commotion of blood vessels in Retinal Pigment Epithelium layer. Using image processing techniques, the Optical Coherence Tomography images of anterior and posterior eye segments are analyzed and the factors such as Angle opening distance, Euler number, thickness, angle of elevation and its maximum thickness value (in pixels) of the image are obtained. It is observed that there is a vast change in the above factors during CNV and thus it is possible to get knowledge whether the particular person is suffering from the disease or not. The factors obtained are fed to Neural Classifier which is used to show whether the person is in the starting stage or final stage of the disease. Graphical
      PubDate: 2018-08-11
      DOI: 10.1007/s13319-018-0189-4
      Issue No: Vol. 9, No. 3 (2018)
  • Mixed Finite Element Approximation for Bivariate Perona–Malik Model
           Arising in 2D and 3D Image Denoising
    • Authors: Amal Hjouji; Mostafa Jourhmane; Jaouad EL-Mekkaoui; Mohammed Es-sabry
      Abstract: Abstract In this paper, we present a new model of nonlinear diffusion arising in image processing field based on the Perona–Malik equation which we call the bivariate Perona–Malik model. The aim of this model is to remove image noise while preserving edges, boundaries, and textures. To solve this model we use a new algorithm based on mixed finite element method. In this context we prove mathematically the existence and uniqueness of the solution of the proposed model in a well chosen space. At last, we present the experimental results in 2D and 3D images filtering, which demonstrate the efficiency and effectiveness of our algorithm and finally, we compare it with other well known methods such as the finite difference method presented by Perona et al. (IEEE Trans Pattern Anal Mach Intell 12:629–639, 1990), the finite element method and the finite volume method studied by Handlovičová et al. (J Vis Commun Image Represent 13:217–237, 2002).
      PubDate: 2018-08-02
      DOI: 10.1007/s13319-018-0187-6
      Issue No: Vol. 9, No. 3 (2018)
  • A Mamdani Fuzzy Logic System to Enhance Solar Cell Micro-Cracks Image
    • Authors: Rashmi Chawla; Poonam Singal; Amit Kumar Garg
      Abstract: Abstract Micro-cracks in solar Photo-Voltaic Cells (PVCs) can be formed in the vicinity of PVC/wafer manufacturing process or by thermal stress produced in transportation/handling or by inclement weather condition. Its insight is must as it reduces the efficiency of PVCs, enfeeble the cell constitution as well as affect the net manufactured production yield resulting in increase in production cost. The detection of these micro-cracks is strenuous owing to wafer’s heterogeneous textured base and involves two steps; first visualization of micro-cracks to imaging device, second efficient image processing technique to extract these micro-cracks from the captured image. In this paper Mamdani Fuzzy logic is proposed for extracting micro-cracks from solar PVCs images and comparison of performance analysis is done using MATLAB. The results show that using the proposed strategy, micro cracks visibility is much more prominent than its counterparts present in literature. To access local and remote output current data of solar panel the Internet of Things accreditation is done using Arduino and WiFi module.
      PubDate: 2018-07-27
      DOI: 10.1007/s13319-018-0186-7
      Issue No: Vol. 9, No. 3 (2018)
  • Automatic Depth Prediction from 2D Videos Based on Non-parametric Learning
           and Bi-directional Depth Propagation
    • Authors: Huihui Xu; Mingyan Jiang
      Abstract: Abstract With progress in 3D video technology, 2D to 3D conversion has drawn great attention in recent years. Predicting perceptually reasonable depth information from traditional monocular videos is a challenging task in 2D to 3D conversion. For the purpose of generating convincing depth maps, an efficient depth estimation algorithm utilizing non-parametric learning and bi-directional depth propagation is proposed. First, global depth maps on key frames are generated on the basis of gradient samples and the gradient reconstruction method. Then, foreground objects are extracted and employed to refine global depth maps for producing more local depth details. Next, the depth information of key frames is propagated utilizing bi-directional motion compensation to recover the forward and backward depth information of non-key frames. In the end, a weighting fusion strategy is designed to integrate forward and backward depths for predicting the depth information of each non-key frame. The quality of estimated depth maps is assessed by leveraging objective and subjective quality evaluation criteria. The experimental results verify that the proposed depth prediction framework outperforms some depth estimation methods and is efficient at producing 3D views.
      PubDate: 2018-07-27
      DOI: 10.1007/s13319-018-0184-9
      Issue No: Vol. 9, No. 3 (2018)
  • An Efficient Stereo Matching Algorithm Based on Four-Moded Census
           Transform for High-Resolution Images
    • Authors: Yizhong Yang; Dong Xu; Shen Rong; Guangjun Xie; Feng Chen
      Abstract: By establishing slanted surfaces, PatchMatch stereo (PMS) algorithm can achieve impressive disparity details and high sub-pixel precision. However, it is too unwieldy for practical calculations in handling images with high resolution. In this paper, we improved the PMS algorithm to efficiently handle the high-resolution images. Firstly, four-mode census transform, which can improve matching accuracy and solve the problem of the center pixel distortion effectively, is applied to measure the dissimilarity between pixels, instead of the absolute differences of the gray-value and the gray-value gradient. Utilizing this transform can halve the time of dissimilarity measurement compared to that of PMS. Then, the proposed algorithm adopt the integer disparity plane approximation strategy during the PatchMatch inference procedure. This strategy is applied in the random initialization step, the computation of the matching cost and the process of searching and renewing the minimum matching cost. Finally, the outlier pixels are refined with the post-process steps. Experimental results show that the proposed algorithm is more efficient than the PMS algorithm and generates comparable disparity maps in handling the high-resolution images. Graphical
      PubDate: 2018-07-27
      DOI: 10.1007/s13319-018-0185-8
      Issue No: Vol. 9, No. 3 (2018)
  • Software Architectural Quality Assessment Model for Security Analysis
           Using Fuzzy Analytical Hierarchy Process (FAHP) Method
    • Authors: Udaya Dayanandan; Vivekanandan Kalimuthu
      Abstract: In the last decade, the greater need for quality software led to the development of quality assessment especially at the software architecture (SA) level. Since software security is an important quality attribute, several models have been evolved to validate the security related issues at the SA level. This paper proposes a Fuzzy Analytical Hierarchy Process (FAHP) with Buckley method for security assessment at the SA level for object-oriented design. FAHP is a Multi-Criteria Decision Making approach which employs linguistic variables as a pair-wise comparison matrix to derive priorities of various selection attributes and sub-attributes. In addition, the proposed work uses genetic algorithm to fill the missing values in the comparison matrix of FAHP. The validation of FAHP model takes place by the use of four versions of apache Tomcat series namely TC 7.0.6, TC 7.0.22, TC 7.0.39 and TC 7.0.47. The obtained results ensure that the proposed FAHP model with Buckley method performs well than existing methods in terms of security index to measure the performance at the SA level and defect density ratio to validate the results. Graphical
      PubDate: 2018-07-23
      DOI: 10.1007/s13319-018-0183-x
      Issue No: Vol. 9, No. 3 (2018)
  • Multi-objective Test Case Prioritization Using Improved Pareto-Optimal
           Clonal Selection Algorithm
    • Authors: Megala Tulasiraman; Nivethitha Vivekanandan; Vivekanandan Kalimuthu
      Abstract: Regression test plays a vital role in software testing by ensuring the quality and stability of the developed software. During regression test a large number of test cases are involved thus making the process expensive and difficult. In order to reduce the cost and time of regression test, test case prioritization is applied. However in real world scenario multiple testing criteria and constraint are evolved, such as to detect all faults within minimum time, and to detect most severe faults earlier. This takes the test case prioritization problem turn into multi-objective test case prioritization paradigm. In this paper an improved pareto-optimal clonal selection algorithm is proposed to generate test case order depending on three objective such as minimum execution time, maximum severity fault identification and cost-cognizant average percentage of fault detected. The experimental analysis is conducted over an industrial project with seven different versions for which the proposed approach generates scheduled test case order. And it is concluded that the performance of proposed approach is better than other tested algorithms like random approach, weighted genetic algorithm, greedy and NSGA-II. Graphical
      PubDate: 2018-07-23
      DOI: 10.1007/s13319-018-0182-y
      Issue No: Vol. 9, No. 3 (2018)
  • Measuring Effect of Packet Reordering on Quality of Experience (QoE) in
           Video Streaming
    • Authors: Asif Ali Laghari; Hui He; Muhammad Ibrahim Channa
      Abstract: Video streaming is an important part of the Internet and it is widely used for IPTV, video conferencing and E-learning. The quality of experience (QoE) of users about the video contents is important for service providers to improve services and provide quality of service to end users. The video quality is affected by packet reordering, delay and loss in the network, which degrades the QoE of end users. In this paper, we conducted several experiments on video streaming creating artificial packet reorder to measure user stratification level of video quality as well as acceptable network level for end users. We used NetEm tool for creating artificial packet reorder in video streaming, recording and playing videos for participants for perception, and investigated the QoE of different packet reorder percentage. From our experiments, we found that QoE of users is decreased when video quality is reordered due to network traffic. This work will help content providers to provide QoE to users based on service level agreements. Graphical
      PubDate: 2018-07-13
      DOI: 10.1007/s13319-018-0179-6
      Issue No: Vol. 9, No. 3 (2018)
  • Perceptually Improved 3D Object Representation Based on Guided Adaptive
           Weighting of Feature Channels of a Visual-Attention Model
    • Authors: Ghazal Rouhafzay; Ana-Maria Cretu
      Abstract: Abstract Real-time interaction in virtual environments composed of numerous objects modeled with a high number of faces remains an important issue in interactive virtual environment applications. A well-established approach to deal with this problem is to simplify small or distant objects where minor details are not informative for users. Several approaches exist in literature to simplify a 3D mesh uniformly. A possible improvement to this approach is to take advantage of a visual attention model to distinguish regions of a model which are considered important from the point of view of the human visual system. These regions can then be preserved during simplification to improve the perceived quality of the model. In the present article, we present an original application of biologically-inspired visual attention for improved perception-based representation of 3D objects. An enhanced visual attention model extracting information about color, intensity, orientation, as in the classical bottom-up visual attention model, but that also considers supplementary features believed to guide the deployment of human visual attention (such as symmetry, curvature, contrast, entropy and edge information), is introduced to identify such salient regions. Unlike the classical model where these features contribute equally to the identification of salient regions, a novel solution is proposed to adjust their contribution to the visual-attention model based on their compliance with points identified as salient by human subjects. An iterative approach is then proposed to extract salient points from salient regions. Salient points derived from images taken from best viewpoints of a 3D object are then projected to the surface of the object to identify salient vertices which will be preserved in the mesh simplification. The obtained results are compared with existing solutions from the literature to demonstrate the superiority of the proposed approach.
      PubDate: 2018-07-10
      DOI: 10.1007/s13319-018-0181-z
      Issue No: Vol. 9, No. 3 (2018)
  • A New Objective Image Quality Assessment Metric: For Color and Grayscale
    • Authors: Uthayakumar Jayasankar; Vengattaraman Thirumal; Dhavachelvan Ponnurangam
      Abstract: Abstract Image quality assessment (IQA) is a challenging task in digital image processing where the images get distorted in several situations. In recent years, various IQA measures have been developed to assess the quality of images in subjective and objective manner. Although the popular measures like mean square error (MSE) and peak signal to noise ratio (PSNR) work well for grayscale images, they fail to measure the exact difference between two color images on a pixel by pixel basis. To overcome this problem, we made a slight modification in the MSE and PSNR to present new measures mean absolute variance and fidelity ration (FR). Moreover, we formulate a constant ‘k’ of value 9.542425094 to establish a relationship between FR of color and grayscale images. The performance of the proposed metric is validated by comparing its results with state of art metrics against a same set of benchmark dataset. Though the proposed method involves simple mathematical calculations and no human visual system model is employed, the experimental analysis shows that FR is found to be highly effective and robust measure especially for continuous tone, discrete tone, bi-level and inverted images. This measure is highly useful for applications require exact IQA where a change of one-pixel value is also not desirable.
      PubDate: 2018-07-07
      DOI: 10.1007/s13319-018-0180-0
      Issue No: Vol. 9, No. 3 (2018)
  • Construction Algorithm of 3D Location Fingerprint Database
    • Authors: Chun-ming Wu; Chen Zhao
      Abstract: Abstract A vital problem with location fingerprinting is the considerable workload and time cost by the fingerprint location technology under the non-line-of-sight environment in the indoor. This paper proposed a fingerprint database construction algorithm which combining Latin hypercube sampling and Kriging interpolation to solve these problems. The algorithm optimizes the sample size before interpolation based on modified traditional Latin hypercube sampling which solve marginal “pessimistic” problem. Then, an improved Kriging interpolation combined with the basic loss model of signal intensity is used to establish the database. The performance of the proposed algorithm is verified by using K-nearest neighbor location. The simulation results show that the proposed algorithm not only ensures the location accuracy, but also reduces the time cost and workload about 60%, and the minimum error as low as 10 cm.
      PubDate: 2018-06-28
      DOI: 10.1007/s13319-018-0177-8
      Issue No: Vol. 9, No. 3 (2018)
  • A Novel Hybrid Contrast Enhancement Technique
    • Authors: Karishma Rao; Archana Agarwal; Sangeeta Dhall; Shailender Gupta; Prem Chand Vashist
      Abstract: Abstract Image Contrast enhancement is an imperative part of the image processing. It is a process of modifying the histogram of an image in order to enhance the image contrast and brightness for better visualization. Many techniques for the same have been proposed by researchers with the aim to optimize performance metrics such as: Absolute Mean Brightness Error (AMBE), Average Information Content (AIC), and Measurement of Enhancement (EME). The techniques available try to perk up one or more performance metrics at the cost of others. In this paper, a novel technique is proposed which augment almost all of these parameters. This proposal is a hybrid mechanism which includes many favorable characteristics of existing techniques. For the purpose of implementation MATLAB-10 is employed. The results show that proposed mechanism has least AMBE, EME, DEU and maximum AIC value in comparison to other popular techniques available in literature.
      PubDate: 2018-06-22
      DOI: 10.1007/s13319-018-0178-7
      Issue No: Vol. 9, No. 3 (2018)
  • Correction to: A Novel Fast and Secure Approach for Voice Encryption Based
           on DNA Computing
    • Authors: Hamidreza Kakaei Kate; Jafar Razmara; Ayaz Isazadeh
      Abstract: The original version of this article unfortunately contained mistakes in Table 5. In the column Correlation Encryption, Key space, SNR and PSNR was incorrect.
      PubDate: 2018-06-16
      DOI: 10.1007/s13319-018-0176-9
      Issue No: Vol. 9, No. 2 (2018)
  • An Effective Construction Method of Modular Manipulator 3D Virtual
           Simulation Platform
    • Authors: Xianhua Li; Lei Lv; Rui Sheng; Qing Sun; Leigang Zhang
      Abstract: Abstract This work discusses about a fast and efficient method of constructing an open 3D manipulator virtual simulation platform which make it easier for teachers and students to learn about positive and inverse kinematics of a robot manipulator. The method was carried out using MATLAB. In which, the Robotics Toolbox, MATLAB GUI and 3D animation with the help of modelling using SolidWorks, were fully applied to produce a good visualization of the system. The advantages of using quickly build is its powerful function of the input and output and its ability to simulate a 3D manipulator realistically. In this article, a Schunk six DOF modular manipulator was constructed by the author’s research group to be used as example. The implementation steps of this method was detailed described, and thereafter, a high-level open and realistic visualization manipulator 3D virtual simulation platform was achieved. With the graphs obtained from simulation, the test results show that the manipulator 3D virtual simulation platform can be constructed quickly with good usability and high maneuverability, and it can meet the needs of scientific research and teaching.
      PubDate: 2018-06-08
      DOI: 10.1007/s13319-018-0175-x
      Issue No: Vol. 9, No. 2 (2018)
  • Multi-phase Fluid Simulation Based on Narrow-Band FLIP Method
    • Authors: Changjun Zou; Yong Yin
      Abstract: Abstract Euler method and Lagrangian method is applicable for fluid of different deformation respectively. The fluid implicit particle (FLIP) method is a combination of Euler method and Lagrangian method which embodies the advantages of both in fluid simulation. While narrow-band FLIP (NBFLIP) method is an improved FLIP method which limits the particles within the Narrow Band near the interface. NBFLIP method improves the computational efficiency by eliminating particle outside the Narrow Band without degrading the details. In this paper, the multi-phase volume of fraction (VOF) model based on NBFLIP (NBFLIP-VOF) method is proposed. This is the first combination of multi-phase VOF model with NBFLIP method. The method employees a unified framework to deal with miscible and immiscible fluid simulation, the simulation results are highly consistent with the results from previous literature. The results show that the NBFLIP-VOF method has a good performance in the simulation of multi-phase flow, it also proves the reliability of the method and the adaptability in multi-phase fluid simulation.
      PubDate: 2018-06-01
      DOI: 10.1007/s13319-018-0173-z
      Issue No: Vol. 9, No. 2 (2018)
  • Template-Based 3D Reconstruction of Non-rigid Deformable Object from
           Monocular Video
    • Authors: Yang Liu; Xiaodong Peng; Wugen Zhou; Bo Liu; Andreas Gerndt
      Abstract: Abstract In this paper, we propose a template-based 3D surface reconstruction system of non-rigid deformable objects from monocular video sequence. Firstly, we generate a semi-dense template of the target object with structure from motion method using a subsequence video. This video can be captured by rigid moving camera orienting the static target object or by a static camera observing the rigid moving target object. Then, with the reference template mesh as input and based on the framework of classical template-based methods, we solve an energy minimization problem to get the correspondence between the template and every frame to get the time-varying mesh to present the deformation of objects. The energy terms combine photometric cost, temporal and spatial smoothness cost as well as as-rigid-as-possible cost which can enable elastic deformation. In this paper, an easy and controllable solution to generate the semi-dense template for complex objects is presented. Besides, we use an effective iterative Schur based linear solver for the energy minimization problem. The experimental evaluation presents qualitative deformation objects reconstruction results with real sequences. Compare against the results with other templates as input, the reconstructions based on our template have more accurate and detailed results for certain regions. The experimental results show that the linear solver we used performs better efficiency compared to traditional conjugate gradient based solver.
      PubDate: 2018-05-25
      DOI: 10.1007/s13319-018-0174-y
      Issue No: Vol. 9, No. 2 (2018)
  • Optical Double Image Hiding in the Fractional Hartley Transform Using
           Structured Phase Filter and Arnold Transform
    • Authors: Poonam Lata Yadav; Hukum Singh
      Abstract: Abstract To maintain the security of the image encryption and to protect the image from intruders, a new asymmetric cryptosystem based on fractional Hartley Transform (FrHT) and the Arnold transform (AT) is proposed. AT is a method of image cropping and edging in which pixels of the image are reorganized. In this cryptosystem we have used AT so as to extent the information content of the two original images onto the encrypted images so as to increase the safety of the encoded images. We have even used Structured Phase Mask (SPM) and Hybrid Mask (HM) as the encryption keys. The original image is first multiplied with the SPM and HM and then transformed with direct and inverse fractional Hartley transform so as to obtain the encrypted image. The fractional orders of the FrHT and the parameters of the AT correspond to the keys of encryption and decryption methods. If both the keys are correctly used only then the original image would be retrieved. Recommended method helps in strengthening the safety of DRPE by growing the key space and the number of parameters and the method is robust against various attacks. By using MATLAB (R2014a) we calculate the strength of the recommended cryptosystem. A set of simulated results shows the power of the proposed asymmetric cryptosystem.
      PubDate: 2018-05-25
      DOI: 10.1007/s13319-018-0172-0
      Issue No: Vol. 9, No. 2 (2018)
  • Saliency Detection for Stereoscopic 3D Images in the Quaternion Frequency
    • Authors: Xingyu Cai; Wujie Zhou; Gang Cen; Weiwei Qiu
      Abstract: Abstract Recent studies have shown that a remarkable distinction exists between human binocular and monocular viewing behaviors. Compared with two-dimensional (2D) saliency detection models, stereoscopic three-dimensional (S3D) image saliency detection is a more challenging task. In this paper, we propose a saliency detection model for S3D images. The final saliency map of this model is constructed from the local quaternion Fourier transform (QFT) sparse feature and global QFT log-Gabor feature. More specifically, the local QFT feature measures the saliency map of an S3D image by analyzing the location of a similar patch. The similar patch is chosen using a sparse representation method. The global saliency map is generated by applying the wake edge-enhanced gradient QFT map through a band-pass filter. The results of experiments on two public datasets show that the proposed model outperforms existing computational saliency models for estimating S3D image saliency.
      PubDate: 2018-05-25
      DOI: 10.1007/s13319-018-0169-8
      Issue No: Vol. 9, No. 2 (2018)
  • Entropy Based Feature Selection for Fuzzy Set-Valued Information Systems
    • Authors: Waseem Ahmed; M. M. Sufyan Beg; Tanvir Ahmad
      Abstract: Abstract In Set-valued Information Systems (SIS), several objects contain more than one value for some attributes. Tolerance relation used for handling SIS sometimes leads to loss of certain information. To surmount this problem, fuzzy rough model was introduced. However, in some cases, SIS may contain some real or continuous set-values. Therefore, the existing fuzzy rough model for handling Information system with fuzzy set-values needs some changes. In this paper, Fuzzy Set-valued Information System (FSIS) is proposed and fuzzy similarity relation for FSIS is defined. Yager’s relative conditional entropy was studied to find the significance measure of a candidate attribute of FSIS. Later, using these significance values, three greedy forward algorithms are discussed for finding the reduct and relative reduct for the proposed FSIS. An experiment was conducted on a sample population of the real dataset and a comparison of classification accuracies of the proposed FSIS with the existing SIS and single-valued Fuzzy Information Systems was made, which demonstrated the effectiveness of proposed FSIS.
      PubDate: 2018-05-19
      DOI: 10.1007/s13319-018-0170-2
      Issue No: Vol. 9, No. 2 (2018)
  • Gaussian Radial Basis Function for Efficient Computation of Forest
           Indirect Illumination
    • Authors: Fayçal Abbas; Mohamed Chaouki Babahenini
      Abstract: Abstract Global illumination of natural scenes in real time like forests is one of the most complex problems to solve, because the multiple inter-reflections between the light and material of the objects composing the scene. The major problem that arises is the problem of visibility computation. In fact, the computing of visibility is carried out for all the set of leaves visible from the center of a given leaf, given the enormous number of leaves present in a tree, this computation performed for each leaf of the tree which also reduces performance. We describe a new approach that approximates visibility queries, which precede in two steps. The first step is to generate point cloud representing the foliage. We assume that the point cloud is composed of two classes (visible, not-visible) non-linearly separable. The second step is to perform a point cloud classification by applying the Gaussian radial basis function, which measures the similarity in term of distance between each leaf and a landmark leaf. It allows approximating the visibility requests to extract the leaves that will be used to calculate the amount of indirect illumination exchanged between neighbor leaves. Our approach allows efficiently treat the light exchanges in the scene of a forest, it allows a fast computation and produces images of good visual quality, all this takes advantage of the immense power of computation of the GPU.
      PubDate: 2018-05-17
      DOI: 10.1007/s13319-018-0171-1
      Issue No: Vol. 9, No. 2 (2018)
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