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Publisher: Springer-Verlag (Total: 2352 journals)

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Showing 1 - 200 of 2352 Journals sorted alphabetically
3D Printing in Medicine     Open Access   (Followers: 1)
3D Research     Hybrid Journal   (Followers: 21, SJR: 0.222, CiteScore: 1)
4OR: A Quarterly J. of Operations Research     Hybrid Journal   (Followers: 10, SJR: 0.825, CiteScore: 1)
AAPS J.     Hybrid Journal   (Followers: 23, SJR: 1.118, CiteScore: 4)
AAPS PharmSciTech     Hybrid Journal   (Followers: 7, SJR: 0.752, CiteScore: 3)
Abdominal Imaging     Hybrid Journal   (Followers: 15, SJR: 0.866, CiteScore: 2)
Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg     Hybrid Journal   (Followers: 4, SJR: 0.439, CiteScore: 0)
Academic Psychiatry     Full-text available via subscription   (Followers: 26, SJR: 0.53, CiteScore: 1)
Academic Questions     Hybrid Journal   (Followers: 8, SJR: 0.106, CiteScore: 0)
Accreditation and Quality Assurance: J. for Quality, Comparability and Reliability in Chemical Measurement     Hybrid Journal   (Followers: 28, SJR: 0.316, CiteScore: 1)
Acoustical Physics     Hybrid Journal   (Followers: 11, SJR: 0.359, CiteScore: 1)
Acoustics Australia     Hybrid Journal   (SJR: 0.232, CiteScore: 1)
Acta Analytica     Hybrid Journal   (Followers: 7, SJR: 0.367, CiteScore: 0)
Acta Applicandae Mathematicae     Hybrid Journal   (Followers: 1, SJR: 0.675, CiteScore: 1)
Acta Biotheoretica     Hybrid Journal   (Followers: 4, SJR: 0.284, CiteScore: 1)
Acta Diabetologica     Hybrid Journal   (Followers: 18, SJR: 1.587, CiteScore: 3)
Acta Endoscopica     Hybrid Journal   (Followers: 1)
acta ethologica     Hybrid Journal   (Followers: 4, SJR: 0.769, CiteScore: 1)
Acta Geochimica     Hybrid Journal   (Followers: 7, SJR: 0.24, CiteScore: 1)
Acta Geodaetica et Geophysica     Hybrid Journal   (Followers: 3, SJR: 0.305, CiteScore: 1)
Acta Geophysica     Hybrid Journal   (Followers: 11, SJR: 0.312, CiteScore: 1)
Acta Geotechnica     Hybrid Journal   (Followers: 7, SJR: 1.588, CiteScore: 3)
Acta Informatica     Hybrid Journal   (Followers: 5, SJR: 0.517, CiteScore: 1)
Acta Mathematica     Hybrid Journal   (Followers: 12, SJR: 7.066, CiteScore: 3)
Acta Mathematica Hungarica     Hybrid Journal   (Followers: 2, SJR: 0.452, CiteScore: 1)
Acta Mathematica Sinica, English Series     Hybrid Journal   (Followers: 6, SJR: 0.379, CiteScore: 1)
Acta Mathematica Vietnamica     Hybrid Journal   (SJR: 0.27, CiteScore: 0)
Acta Mathematicae Applicatae Sinica, English Series     Hybrid Journal   (SJR: 0.208, CiteScore: 0)
Acta Mechanica     Hybrid Journal   (Followers: 21, SJR: 1.04, CiteScore: 2)
Acta Mechanica Sinica     Hybrid Journal   (Followers: 5, SJR: 0.607, CiteScore: 2)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 7, SJR: 0.576, CiteScore: 2)
Acta Meteorologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.638, CiteScore: 1)
Acta Neurochirurgica     Hybrid Journal   (Followers: 6, SJR: 0.822, CiteScore: 2)
Acta Neurologica Belgica     Hybrid Journal   (Followers: 1, SJR: 0.376, CiteScore: 1)
Acta Neuropathologica     Hybrid Journal   (Followers: 4, SJR: 7.589, CiteScore: 12)
Acta Oceanologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.334, CiteScore: 1)
Acta Physiologiae Plantarum     Hybrid Journal   (Followers: 2, SJR: 0.574, CiteScore: 2)
Acta Politica     Hybrid Journal   (Followers: 15, SJR: 0.605, CiteScore: 1)
Activitas Nervosa Superior     Hybrid Journal   (SJR: 0.147, CiteScore: 0)
adhäsion KLEBEN & DICHTEN     Hybrid Journal   (Followers: 8, SJR: 0.103, CiteScore: 0)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 24, SJR: 0.72, CiteScore: 2)
Adhesion Adhesives & Sealants     Hybrid Journal   (Followers: 9)
Administration and Policy in Mental Health and Mental Health Services Research     Partially Free   (Followers: 17, SJR: 1.005, CiteScore: 2)
Adsorption     Hybrid Journal   (Followers: 4, SJR: 0.703, CiteScore: 2)
Advances in Applied Clifford Algebras     Hybrid Journal   (Followers: 4, SJR: 0.698, CiteScore: 1)
Advances in Atmospheric Sciences     Hybrid Journal   (Followers: 37, SJR: 0.956, CiteScore: 2)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 19, SJR: 0.812, CiteScore: 1)
Advances in Contraception     Hybrid Journal   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 56, SJR: 1.09, CiteScore: 1)
Advances in Gerontology     Partially Free   (Followers: 8, SJR: 0.144, CiteScore: 0)
Advances in Health Sciences Education     Hybrid Journal   (Followers: 29, SJR: 1.64, CiteScore: 2)
Advances in Manufacturing     Hybrid Journal   (Followers: 4, SJR: 0.475, CiteScore: 2)
Advances in Polymer Science     Hybrid Journal   (Followers: 45, SJR: 1.04, CiteScore: 3)
Advances in Therapy     Hybrid Journal   (Followers: 5, SJR: 1.075, CiteScore: 3)
Aegean Review of the Law of the Sea and Maritime Law     Hybrid Journal   (Followers: 6)
Aequationes Mathematicae     Hybrid Journal   (Followers: 2, SJR: 0.517, CiteScore: 1)
Aerobiologia     Hybrid Journal   (Followers: 3, SJR: 0.673, CiteScore: 2)
Aesthetic Plastic Surgery     Hybrid Journal   (Followers: 10, SJR: 0.825, CiteScore: 1)
African Archaeological Review     Hybrid Journal   (Followers: 20, SJR: 0.862, CiteScore: 1)
Afrika Matematika     Hybrid Journal   (Followers: 1, SJR: 0.235, CiteScore: 0)
AGE     Hybrid Journal   (Followers: 7)
Ageing Intl.     Hybrid Journal   (Followers: 7, SJR: 0.39, CiteScore: 1)
Aggiornamenti CIO     Hybrid Journal   (Followers: 1)
Aging Clinical and Experimental Research     Hybrid Journal   (Followers: 3, SJR: 0.67, CiteScore: 2)
Agricultural Research     Hybrid Journal   (Followers: 6, SJR: 0.276, CiteScore: 1)
Agriculture and Human Values     Hybrid Journal   (Followers: 14, SJR: 1.173, CiteScore: 3)
Agroforestry Systems     Hybrid Journal   (Followers: 20, SJR: 0.663, CiteScore: 1)
Agronomy for Sustainable Development     Hybrid Journal   (Followers: 12, SJR: 1.864, CiteScore: 6)
AI & Society     Hybrid Journal   (Followers: 9, SJR: 0.227, CiteScore: 1)
AIDS and Behavior     Hybrid Journal   (Followers: 14, SJR: 1.792, CiteScore: 3)
Air Quality, Atmosphere & Health     Hybrid Journal   (Followers: 4, SJR: 0.862, CiteScore: 3)
Akupunktur & Aurikulomedizin     Full-text available via subscription   (Followers: 1)
Algebra and Logic     Hybrid Journal   (Followers: 6, SJR: 0.531, CiteScore: 0)
Algebra Universalis     Hybrid Journal   (Followers: 2, SJR: 0.583, CiteScore: 1)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1, SJR: 1.095, CiteScore: 1)
Algorithmica     Hybrid Journal   (Followers: 9, SJR: 0.56, CiteScore: 1)
Allergo J.     Full-text available via subscription   (Followers: 1, SJR: 0.234, CiteScore: 0)
Allergo J. Intl.     Hybrid Journal   (Followers: 2)
Alpine Botany     Hybrid Journal   (Followers: 5, SJR: 1.11, CiteScore: 3)
ALTEX : Alternatives to Animal Experimentation     Open Access   (Followers: 3)
AMBIO     Hybrid Journal   (Followers: 10, SJR: 1.569, CiteScore: 4)
American J. of Cardiovascular Drugs     Hybrid Journal   (Followers: 16, SJR: 0.951, CiteScore: 3)
American J. of Community Psychology     Hybrid Journal   (Followers: 29, SJR: 1.329, CiteScore: 2)
American J. of Criminal Justice     Hybrid Journal   (Followers: 8, SJR: 0.772, CiteScore: 1)
American J. of Cultural Sociology     Hybrid Journal   (Followers: 16, SJR: 0.46, CiteScore: 1)
American J. of Dance Therapy     Hybrid Journal   (Followers: 4, SJR: 0.181, CiteScore: 0)
American J. of Potato Research     Hybrid Journal   (Followers: 2, SJR: 0.611, CiteScore: 1)
American J. of Psychoanalysis     Hybrid Journal   (Followers: 21, SJR: 0.314, CiteScore: 0)
American Sociologist     Hybrid Journal   (Followers: 14, SJR: 0.35, CiteScore: 0)
Amino Acids     Hybrid Journal   (Followers: 8, SJR: 1.135, CiteScore: 3)
AMS Review     Partially Free   (Followers: 4)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7, SJR: 0.211, CiteScore: 1)
Analysis and Mathematical Physics     Hybrid Journal   (Followers: 5, SJR: 0.536, CiteScore: 1)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Analysis of Verbal Behavior     Hybrid Journal   (Followers: 6)
Analytical and Bioanalytical Chemistry     Hybrid Journal   (Followers: 32, SJR: 0.978, CiteScore: 3)
Anatomical Science Intl.     Hybrid Journal   (Followers: 3, SJR: 0.367, CiteScore: 1)
Angewandte Schmerztherapie und Palliativmedizin     Hybrid Journal  
Angiogenesis     Hybrid Journal   (Followers: 3, SJR: 2.177, CiteScore: 5)
Animal Cognition     Hybrid Journal   (Followers: 19, SJR: 1.389, CiteScore: 3)
Annales françaises de médecine d'urgence     Hybrid Journal   (Followers: 1, SJR: 0.192, CiteScore: 0)
Annales Henri Poincaré     Hybrid Journal   (Followers: 3, SJR: 1.097, CiteScore: 2)
Annales mathématiques du Québec     Hybrid Journal   (Followers: 4, SJR: 0.438, CiteScore: 0)
Annali dell'Universita di Ferrara     Hybrid Journal   (SJR: 0.429, CiteScore: 0)
Annali di Matematica Pura ed Applicata     Hybrid Journal   (Followers: 1, SJR: 1.197, CiteScore: 1)
Annals of Biomedical Engineering     Hybrid Journal   (Followers: 17, SJR: 1.042, CiteScore: 3)
Annals of Combinatorics     Hybrid Journal   (Followers: 4, SJR: 0.932, CiteScore: 1)
Annals of Data Science     Hybrid Journal   (Followers: 12)
Annals of Dyslexia     Hybrid Journal   (Followers: 10, SJR: 0.85, CiteScore: 2)
Annals of Finance     Hybrid Journal   (Followers: 32, SJR: 0.579, CiteScore: 1)
Annals of Forest Science     Hybrid Journal   (Followers: 7, SJR: 0.986, CiteScore: 2)
Annals of Global Analysis and Geometry     Hybrid Journal   (Followers: 1, SJR: 1.228, CiteScore: 1)
Annals of Hematology     Hybrid Journal   (Followers: 15, SJR: 1.043, CiteScore: 2)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 13, SJR: 0.413, CiteScore: 1)
Annals of Microbiology     Hybrid Journal   (Followers: 11, SJR: 0.479, CiteScore: 2)
Annals of Nuclear Medicine     Hybrid Journal   (Followers: 4, SJR: 0.687, CiteScore: 2)
Annals of Operations Research     Hybrid Journal   (Followers: 10, SJR: 0.943, CiteScore: 2)
Annals of Ophthalmology     Hybrid Journal   (Followers: 12)
Annals of Regional Science     Hybrid Journal   (Followers: 8, SJR: 0.614, CiteScore: 1)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annals of Solid and Structural Mechanics     Hybrid Journal   (Followers: 9, SJR: 0.239, CiteScore: 1)
Annals of Surgical Oncology     Hybrid Journal   (Followers: 14, SJR: 1.986, CiteScore: 4)
Annals of Telecommunications     Hybrid Journal   (Followers: 9, SJR: 0.223, CiteScore: 1)
Annals of the Institute of Statistical Mathematics     Hybrid Journal   (Followers: 1, SJR: 1.495, CiteScore: 1)
Antonie van Leeuwenhoek     Hybrid Journal   (Followers: 5, SJR: 0.834, CiteScore: 2)
Apidologie     Hybrid Journal   (Followers: 4, SJR: 1.22, CiteScore: 3)
APOPTOSIS     Hybrid Journal   (Followers: 8, SJR: 1.424, CiteScore: 4)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2, SJR: 0.294, CiteScore: 1)
Applications of Mathematics     Hybrid Journal   (Followers: 2, SJR: 0.602, CiteScore: 1)
Applied Biochemistry and Biotechnology     Hybrid Journal   (Followers: 45, SJR: 0.571, CiteScore: 2)
Applied Biochemistry and Microbiology     Hybrid Journal   (Followers: 18, SJR: 0.21, CiteScore: 1)
Applied Categorical Structures     Hybrid Journal   (Followers: 3, SJR: 0.49, CiteScore: 0)
Applied Composite Materials     Hybrid Journal   (Followers: 49, SJR: 0.58, CiteScore: 2)
Applied Entomology and Zoology     Partially Free   (Followers: 5, SJR: 0.422, CiteScore: 1)
Applied Geomatics     Hybrid Journal   (Followers: 3, SJR: 0.733, CiteScore: 3)
Applied Geophysics     Hybrid Journal   (Followers: 8, SJR: 0.488, CiteScore: 1)
Applied Intelligence     Hybrid Journal   (Followers: 13, SJR: 0.6, CiteScore: 2)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 4, SJR: 0.319, CiteScore: 1)
Applied Mathematics & Optimization     Hybrid Journal   (Followers: 9, SJR: 0.886, CiteScore: 1)
Applied Mathematics - A J. of Chinese Universities     Hybrid Journal   (SJR: 0.17, CiteScore: 0)
Applied Mathematics and Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.461, CiteScore: 1)
Applied Microbiology and Biotechnology     Hybrid Journal   (Followers: 67, SJR: 1.182, CiteScore: 4)
Applied Physics A     Hybrid Journal   (Followers: 10, SJR: 0.481, CiteScore: 2)
Applied Physics B: Lasers and Optics     Hybrid Journal   (Followers: 24, SJR: 0.74, CiteScore: 2)
Applied Psychophysiology and Biofeedback     Hybrid Journal   (Followers: 8, SJR: 0.519, CiteScore: 2)
Applied Research in Quality of Life     Hybrid Journal   (Followers: 12, SJR: 0.316, CiteScore: 1)
Applied Solar Energy     Hybrid Journal   (Followers: 21, SJR: 0.225, CiteScore: 0)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 6, SJR: 0.542, CiteScore: 1)
Aquaculture Intl.     Hybrid Journal   (Followers: 25, SJR: 0.591, CiteScore: 2)
Aquarium Sciences and Conservation     Hybrid Journal   (Followers: 2)
Aquatic Ecology     Hybrid Journal   (Followers: 36, SJR: 0.656, CiteScore: 2)
Aquatic Geochemistry     Hybrid Journal   (Followers: 4, SJR: 0.591, CiteScore: 1)
Aquatic Sciences     Hybrid Journal   (Followers: 13, SJR: 1.109, CiteScore: 3)
Arabian J. for Science and Engineering     Hybrid Journal   (Followers: 5, SJR: 0.303, CiteScore: 1)
Arabian J. of Geosciences     Hybrid Journal   (Followers: 2, SJR: 0.319, CiteScore: 1)
Archaeological and Anthropological Sciences     Hybrid Journal   (Followers: 21, SJR: 1.052, CiteScore: 2)
Archaeologies     Hybrid Journal   (Followers: 12, SJR: 0.224, CiteScore: 0)
Archiv der Mathematik     Hybrid Journal   (Followers: 1, SJR: 0.725, CiteScore: 1)
Archival Science     Hybrid Journal   (Followers: 63, SJR: 0.745, CiteScore: 2)
Archive for History of Exact Sciences     Hybrid Journal   (Followers: 7, SJR: 0.186, CiteScore: 1)
Archive for Mathematical Logic     Hybrid Journal   (Followers: 3, SJR: 0.909, CiteScore: 1)
Archive for Rational Mechanics and Analysis     Hybrid Journal   (SJR: 3.93, CiteScore: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.79, CiteScore: 2)
Archives and Museum Informatics     Hybrid Journal   (Followers: 147, SJR: 0.101, CiteScore: 0)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5, SJR: 1.41, CiteScore: 5)
Archives of Dermatological Research     Hybrid Journal   (Followers: 7, SJR: 1.006, CiteScore: 2)
Archives of Environmental Contamination and Toxicology     Hybrid Journal   (Followers: 14, SJR: 0.773, CiteScore: 2)
Archives of Gynecology and Obstetrics     Hybrid Journal   (Followers: 16, SJR: 0.956, CiteScore: 2)
Archives of Microbiology     Hybrid Journal   (Followers: 9, SJR: 0.644, CiteScore: 2)
Archives of Orthopaedic and Trauma Surgery     Hybrid Journal   (Followers: 8, SJR: 1.146, CiteScore: 2)
Archives of Osteoporosis     Hybrid Journal   (Followers: 2, SJR: 0.71, CiteScore: 2)
Archives of Sexual Behavior     Hybrid Journal   (Followers: 10, SJR: 1.493, CiteScore: 3)
Archives of Toxicology     Hybrid Journal   (Followers: 17, SJR: 1.541, CiteScore: 5)
Archives of Virology     Hybrid Journal   (Followers: 5, SJR: 0.973, CiteScore: 2)
Archives of Women's Mental Health     Hybrid Journal   (Followers: 15, SJR: 1.274, CiteScore: 3)
Archivio di Ortopedia e Reumatologia     Hybrid Journal  
Archivum Immunologiae et Therapiae Experimentalis     Hybrid Journal   (Followers: 2, SJR: 0.946, CiteScore: 3)
ArgoSpine News & J.     Hybrid Journal  
Argumentation     Hybrid Journal   (Followers: 6, SJR: 0.349, CiteScore: 1)
Arid Ecosystems     Hybrid Journal   (Followers: 2, SJR: 0.2, CiteScore: 0)
Arkiv för Matematik     Hybrid Journal   (Followers: 1, SJR: 0.766, CiteScore: 1)
Arnold Mathematical J.     Hybrid Journal   (Followers: 1, SJR: 0.355, CiteScore: 0)
Arthropod-Plant Interactions     Hybrid Journal   (Followers: 2, SJR: 0.839, CiteScore: 2)
Arthroskopie     Hybrid Journal   (Followers: 1, SJR: 0.131, CiteScore: 0)
Artificial Intelligence and Law     Hybrid Journal   (Followers: 11, SJR: 0.937, CiteScore: 2)
Artificial Intelligence Review     Hybrid Journal   (Followers: 18, SJR: 0.833, CiteScore: 4)
Artificial Life and Robotics     Hybrid Journal   (Followers: 9, SJR: 0.226, CiteScore: 0)
Asia Europe J.     Hybrid Journal   (Followers: 5, SJR: 0.504, CiteScore: 1)
Asia Pacific Education Review     Hybrid Journal   (Followers: 12, SJR: 0.479, CiteScore: 1)
Asia Pacific J. of Management     Hybrid Journal   (Followers: 16, SJR: 1.185, CiteScore: 2)
Asia-Pacific Education Researcher     Hybrid Journal   (Followers: 13, SJR: 0.353, CiteScore: 1)
Asia-Pacific Financial Markets     Hybrid Journal   (Followers: 2, SJR: 0.187, CiteScore: 0)
Asia-Pacific J. of Atmospheric Sciences     Hybrid Journal   (Followers: 19, SJR: 0.855, CiteScore: 1)
Asian Business & Management     Hybrid Journal   (Followers: 9, SJR: 0.378, CiteScore: 1)
Asian J. of Business Ethics     Hybrid Journal   (Followers: 9)
Asian J. of Criminology     Hybrid Journal   (Followers: 6, SJR: 0.543, CiteScore: 1)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 3, SJR: 0.548, CiteScore: 1)
AStA Wirtschafts- und Sozialstatistisches Archiv     Hybrid Journal   (Followers: 5, SJR: 0.183, CiteScore: 0)
ästhetische dermatologie & kosmetologie     Full-text available via subscription  
Astronomy and Astrophysics Review     Hybrid Journal   (Followers: 22, SJR: 3.385, CiteScore: 5)

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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  [2352 journals]
  • Hybrid Multi-level Regularizations with Sparse Representation for Single
           Depth Map Super-Resolution
    • Authors: Doaa A. Altantawy; Ahmed I. Saleh; Sherif S. Kishk
      Abstract: Limited spatial resolution and varieties of degradations are the main restrictions of today’s captured depth map by active 3D sensing devices. Typical restrictions limit the direct use of the obtained depth maps in most of 3D applications. In this paper, we present a single depth map upsampling approach in contrast to the common work of using the corresponding combined color image to guide the upsampling process. The proposed approach employs a multi-level decomposition to convert the depth upsampling process to a classification-based problem via a multi-level classification-based learning algorithm. Hence, the lost high frequency details can be better preserved at different levels. The adopted multi-level decomposition algorithm utilizes \(l_{1} ,\) and \(l_{0}\) sparse regularization with total-variation regularization to keep structure- and edge-preserving smoothing with robustness to noisy degradations. In addition, the proposed classification-based learning algorithm supports the accuracy of discrimination by learning discriminative dictionaries that carry original features about each class and learning common shared dictionaries that represent the shared features between classes. The proposed algorithm has been validated via different experiments under variety of degradations using different datasets from different sensing devices. Results show superiority to the state of the art, especially in case of upsampling noisy low-resolution depth maps.
      PubDate: 2018-12-03
      DOI: 10.1007/s13319-018-0208-5
      Issue No: Vol. 9, No. 4 (2018)
       
  • Research on 3D Simulation of Fabricated Building Structure Based on BIM
    • Authors: Dongmei Zhao; Yanhong Yao
      Abstract: In order to solve the problem of low accuracy and poor analysis of traditional fabricated building structure, the new BIM-based 3D simulation method for fabricated building structure is proposed. Drawings and related documents are obtained from the database. Through the REVIT software, the 3D simulation model is drawn by the BIM technical team and the fabricated building structure is simulated in 3D. The design of the REVIT platform is realized by three stages: structural space constraint relationship determination, geometric component generation and color processing. The spatial mesh structure is used to describe the geometric components, and the homomorphic filtering is used to process the colors. The bounding box and the hierarchical bounding box method are used to detect the collision of the steel structure. For static combinations, the bounding box method is used to implement collision detection, and the hierarchical bounding box method is used to detect dynamic combinations. The experimental results show that the proposed method can effectively realize the 3D simulation of the fabricated building structure, and the detection results are accurate, the overall performance is excellent, and the user satisfaction is high.
      PubDate: 2018-11-21
      DOI: 10.1007/s13319-018-0209-4
      Issue No: Vol. 9, No. 4 (2018)
       
  • Optimal Design of the Floating Body of the Device of Interception and
           Diversion for Oil Pollution Based on AQWA and MOGA
    • Authors: Ya-hui Wang; Jian-ting Wang; Min-le Zhang; Lin-feng Wu; Tao Zhang
      Abstract: For the specific conditions of the physical characteristics of the oil pollution and the installation location, the overall design of the floating body was carried out. And it was parametrically modeled with Creo4.0. The AQWA was used to analyze the hydrodynamic performance of the floating body. Then the multi-objective optimization design parameters and target parameters were determined. Within the main design parameters of the floating body, using the design of experiment of the space filling design and AQWA, the design parameters were discretized, and representative samples were extracted and refined. On the basis of constructing the response surface using artificial neural network, the global optimization was performed using MOGA, and the Pareto front was obtained. The optimal solutions of the candidate points obtained and the simulation solutions under the optimal main design parameters are compared, and there is a certain deviation between the two. In engineering applications, the results of numerical optimization should be verified again to determine whether the selected candidate points are suitable. In addition, the numerical simulation results before optimization are compared with those after optimization, and the optimized floating body has better hydrodynamic performance. Graphical
      PubDate: 2018-11-19
      DOI: 10.1007/s13319-018-0197-4
      Issue No: Vol. 9, No. 4 (2018)
       
  • Evaluation of Supervised Learning Algorithms Based on Speech Features as
           Predictors to the Diagnosis of Mild to Moderate Intellectual Disability
    • Authors: Gaurav Aggarwal; Latika Singh
      Abstract: Due to age-bound onset of symptoms used for diagnosis of mild to moderate intellectual disability, early diagnosis of these problems has long been a difficult issue. The diagnosis includes tests pertaining to intellectual functioning and adaptive behaviours including communication skills etc. In this paper, it is proposed to use speech features as an early indicator of the disorder which can be used to train machine learning algorithms for differentiating between speech of normally developing children and children with intellectual disability. In this paper, speech abnormalities are quantified using acoustic parameters including Linear Predictive Cepstral Coefficients, Mel Frequency Cepstral Coefficients and spectral features in speech samples of 48 participants (24 with intellectual disability and 24 age-matched controls). A training dataset was created by extracting these features which was used for learning by various classifiers. The experiments show promising results where Support Vector Machine gives an accuracy of 98%. Consequently, a well-trained classification algorithm can be used as an aid in early detection of mild to moderate intellectual disability.
      PubDate: 2018-11-08
      DOI: 10.1007/s13319-018-0207-6
      Issue No: Vol. 9, No. 4 (2018)
       
  • Research on Virtual Reconstruction Technology of Tujia Brocade Handcrafts
    • Authors: Gang Zhao; Hui Zan; Bingbing Di; Wenjuan Zhu; Yali Yu
      Abstract: The colorful Tujia brocade culture is formed through thousands of years’ inheritance, development, and creation in China. However, the influence of the Tujia brocade culture has been gradually weakened for the restrictions of regional and economic development. Also the traditional brocade handcrafts are on the verge of disappearing. Consequently, it is important and necessary to reconstruct traditional Tujia brocade skill by using digital protection technology. Lots of researchers have studied the reconstruction of cultural scenes through the virtual simulations of character movements in the field of intangible cultural heritage, and most studies focus only on limb movements or only on detailed hand movements, while few of them have combined the limb movements and detailed hand movements. According to the characteristics of Tujia brocade craftsmanship, a solution of virtual reconstruction of the traditional Tujia brocade handcrafts to solve the difficult problem for the simultaneous synthesis of limb movements and detailed hand movements was presented in this paper. The solution used Kinect (Kinect for windows v2) and Leap motion to capture the limb movements and detailed hand movements respectively. Then it established traditional process motion data set of Tujia brocade by integrating limb and detailed hand movement data. Finally, it adopted mean smoothing algorithm to manipulate the motion data and drove the character model to realize the virtual reconstruction of the traditional Tujia brocade handcrafts. Multiple simulation and system fluidity test results showed that the proposed method could solve the problem of simultaneous synthesis of limb movements and hand movements in virtual reconstruction of traditional handcrafts effectively. Graphical
      PubDate: 2018-11-02
      DOI: 10.1007/s13319-018-0206-7
      Issue No: Vol. 9, No. 4 (2018)
       
  • Non-linear Cryptosystem for Image Encryption Using Radial Hilbert Mask in
           Fractional Fourier Transform Domain
    • Authors: Priyanka Maan; Hukum Singh
      Abstract: An asymmetric image encryption scheme has been proposed in the fractional Fourier transform (FRT) domain, using a radial Hilbert mask in the input plane and a random phase mask based in the frequency plane. The use of a radial Hilbert mask provides an addition of extra encryption parameter along with the asymmetric scheme which is non-linear where the encryption and decryption keys are different. The encrypted image resulting from the application of FRT is attenuated by a factor and combined with the asymmetric scheme to provide an encrypted image. The decryption process is the reverse of the encryption. The designed scheme has been implemented digitally using MATLAB R2014a (8.3.0.532). By analysing the decryption results using input images the strength and efficacy of the proposed scheme has been established. The performance assessment of the method has been evaluated in terms of peak signal-to-noise ratio, mean-squared-error (MSE). The proposed scheme provides increased security.
      PubDate: 2018-10-19
      DOI: 10.1007/s13319-018-0205-8
      Issue No: Vol. 9, No. 4 (2018)
       
  • Feature Matching Improvement through Merging Features for Remote Sensing
           Imagery
    • Authors: Shahid Karim; Ye Zhang; Ali Anwar Brohi; Muhammad Rizwan Asif
      Abstract: Feature matching is the core stage for object recognition, tracking and several applications of computer vision. Low resolution images have various limitations with respect to spatial, spectral, pixel and temporal information which reduces the performance of image processing approaches. We have combined SURF features with FAST and BRISK features individually in order to provide an optimal solution for feature matching. Furthermore, feature matching has exploited through combined features and compared the performance with state-of-the-art methods. Lastly, RANSAC and MSAC were utilized to eliminate the wrong matches to get optimal feature matches. The experimental results show that the combination of FAST–SURF and BRISK–SURF perform feature matching optimally according to the number of feature matches and estimated time.
      PubDate: 2018-10-17
      DOI: 10.1007/s13319-018-0203-x
      Issue No: Vol. 9, No. 4 (2018)
       
  • A Self-Supervised Learning Method for Shadow Detection in Remote Sensing
           Imagery
    • Authors: Shoulin Yin; Jie Liu; Hang Li
      Abstract: Recent research progress in shadow detection has leveraged the development of remote sensing and computer vision. Since shadows of buildings, trees, bridges in one image can provide useful information about the scene to help people understand the shape, feature or estimate their locations and orientations of original objects, especially for damaged objects. In this study, a novel shadow detection algorithm for remote sensing imagery, called self-supervised learning method is proposed. The aim of this work is to generate shadow ratio threshold automatically without human interaction. To alleviate the traditional drawbacks of shadow detection, we fully combine supervised and unsupervised shadow detection method to suggest a self-supervised learning method, which supports us a strongly clue with establishing the relation of shadow and its original object. Subsequently, we benefit from gray-scale histogram to extract shadow segments, then shadow outlines are obtained. Finally, we assess the shadow detection performance of the proposed approach by comparing our results with the state-of-the-art methods. The results reveal the applicability and precision of the proposed self-supervised learning shadow detection technique.
      PubDate: 2018-10-17
      DOI: 10.1007/s13319-018-0204-9
      Issue No: Vol. 9, No. 4 (2018)
       
  • Contrast Enhancement Technique Based on Lifting Wavelet Transform
    • Authors: Megha Goyal; Bharat Bhushan; Shailender Gupta; Rashmi Chawla
      Abstract: Contrast enhancement is an indispensable process for improving the subjective quality and information content of an image. Adjustment in the relative brightness and darkness of an image is done in order to attain the same. This paper employs lifting wavelet transform (LWT) to enhance the image since it is computationally inexpensive. The application of LWT results in the low and high frequency components. The former components that contain most of the information are enhanced using CLAHE algorithm while the latter are kept unchanged. In addition, a weighted average matrix which controls the level of enhancement is used to acquire the enhanced output image. To measure the efficacy, the proposed technique is implemented in MATLAB-2013 and evaluated on the basis of several performance metrics such as: absolute mean brightness error, average information content, Contrast Improvement Index, degree of entropy unpreserved, Structural Similarity Index, Universal Quality Index. From experiment, it can be observed that the results obtained from proposed algorithm are better than or comparable to other popular techniques in literature in almost all the parameters undertaken.
      PubDate: 2018-10-12
      DOI: 10.1007/s13319-018-0201-z
      Issue No: Vol. 9, No. 4 (2018)
       
  • Multi-objective Optimization of Permanent Magnet Adjustable Speed Driver
           Base on RSM Model and NSGA-II
    • Authors: Xinquan Yin; Yaping Zhang; Jun Wang
      Abstract: To optimise the structure of a permanent magnet adjustable speed driver (PMASD), a multi-objective optimization design method for increasing the output torque and reducing the eddy current loss was proposed. Firstly, the three-dimensional finite element method model of a PMASD was established, the influence of the main configuration parameters in the PMASD on the output torque and the eddy current loss was analyzed, and the reasonable range of the parameters was determined. When taking the minimal eddy current loss and maximum output torque as the optimal objectives, the secondary response surface numerical model equation was built using the Central Composite Design experimental method and the Response Surface Methodology. Then, while ensuring that the output torque of the PMASD is not less than the rated torque, the NSGA-II was used to perform multi-objective optimization based on the response surface model and the Pareto optimal solution sets for two objectives was obtained. Finally, the minimal eddy current loss model and maximum output torque model were selected to compare with the initial model that was not optimized. The simulation results proved that the output torque of the minimal eddy current loss model increased by 6.54% based on the reduction of eddy current loss by 0.81% and the output torque of the maximum output torque model increased by 24.41% based on an increase in eddy current loss of 10.51%: the performance of both optimization models had been improved significantly. The optimization results show that this method improves the transmission performance of the PMASD.
      PubDate: 2018-10-11
      DOI: 10.1007/s13319-018-0202-y
      Issue No: Vol. 9, No. 4 (2018)
       
  • Offline Handwritten Signature Verification Using Cylindrical Shape Context
    • Authors: Pradeep N. Narwade; Rajendra R. Sawant; Sanjiv V. Bonde
      Abstract: Offline handwritten signatures is a convincing evidence form of biometrics for verification. However, the verification of offline handwritten signatures is challenging task because of the variations in handwritten signatures. To address this difficulty, this paper proposes a new approach to represent the shape. In this newly proposed approach, the signature pixels are represented by: (1) Gaussian Weighting Based Tangent Angle, to represent the curve angle at the reference pixel; (2) a new shape descriptor, i.e. cylindrical shape context is proposed for a detailed and accurate description of the curve at corresponding pixel. Experimental results show that desired pixel matching results are obtained by using cylindrical shape context which automatically increases the accuracy of verification of offline handwritten signatures. The shape dissimilarity measures are computed and given to the Support Vector Machine with Radial Basis Function (RBF) kernel for classification of signature. The results obtained using GPDS synthetic signature database, UTSig persian offline signature database, and MCYT-75 offline signature database shows the effectiveness of proposed cylindrical shape context.
      PubDate: 2018-10-11
      DOI: 10.1007/s13319-018-0200-0
      Issue No: Vol. 9, No. 4 (2018)
       
  • Metaheuristic Techniques for Detection of Optic Disc in Retinal Fundus
           Images
    • Authors: Jyotika Pruthi; Shaveta Arora; Kavita Khanna
      Abstract: Eye diseases like glaucoma and diabetic retinopathy are known to be the thieves of eye-sight that are responsible for causing the vision loss worldwide. Automatic detection of such diseases with the help of the digital color fundus photography helps in early diagnosis and treatment. From the fundus images, optic disc is required to be analyzed to diagnose the disease. In this paper, a technique has been proposed for locating optic disc through metaheuristic techniques namely Ant Colony Optimization algorithm, Bacterial Foraging Optimization, Firefly algorithm, Cuckoo Search algorithm and Krill Herd algorithm. A comparison has been made amongst all of them and also with existing disc detection techniques. The bacterial foraging algorithm has shown the best results as it has obtained 99.55% accuracy with DiaRetDB1 database, 100% accuracy with HEI-MED database, 100% with DRIVE database and 98% with STARE database.
      PubDate: 2018-10-01
      DOI: 10.1007/s13319-018-0198-3
      Issue No: Vol. 9, No. 4 (2018)
       
  • Modeling and Optimization of Tool Wear and Surface Roughness in Turning of
           Al/SiCp Using Response Surface Methodology
    • Authors: Rashid Ali Laghari; Jianguang Li; Zhengyou Xie; Shu-qi Wang
      Abstract: Nowadays metal matrix composites are widely utilized in major industries such as aerospace and automotive because of their excellent properties in association with non-reinforced. This research work is attempted to analyze the consequence of cutting parameters on tool life and surface quality. The experimental work is consist of turning Al/SiCp (45%SiCp) weight with uncoated Carbide tools and the effect of three machining parameters including depth of cut, feed, and speed. Tool life and surface roughness have considered as process response for investigation. The predictive model has been developing to optimize the machining parameters in accordance to Box–Behnken design in Minitab 17, the contour plots the surface plot and response optimizer have made to study the influence of machining parameters and their interactions. ANOVA was carried out to identify the key factor affecting the tool life and surface roughness. The maximum tool life is 10.511 (min) and least surface roughness was observed 0.044 μm. The abrasion and adhesive have the principle wear mechanism observed in machining process. Response surface methodology (RSM) approach have used to optimize the machining parameters, and the RSM model found more than 95% confidence level.
      PubDate: 2018-09-24
      DOI: 10.1007/s13319-018-0199-2
      Issue No: Vol. 9, No. 4 (2018)
       
  • Improvement of Large-Vehicle Detection and Monitoring on CPEC Route
    • Authors: Muhammad Ibrar; Jianing Mi; Shahid Karim; Asif Ali Laghari; Shakir Muhammad Shaikh; Vishal Kumar
      Abstract: Satellite imagery is being used to monitor agriculture fields, vehicle detection, surveillance and remote sensing. In this paper, we proposed large-vehicle detection to monitor the status on route of China Pakistan economic corridor (CPEC). In the present experiments, the region of interests extracted from more than thousand images through different angles to train machine for large-vehicle detection using RCNN, Fast-RCNN, Faster-RCCN and Cascade methods. The training images were enhanced through contrast change and image sharpening to avoid errors during detection of vehicles on route. Results show that the proposed method is promising for large-vehicle detection on CPEC route. The Faster-RCNN is more promising due to fast computational speed with high precision and recall rate. Furthermore, the developed dataset is also useful for future CPEC applications such as large-vehicles/trucks tracking, detection and identification. Graphical
      PubDate: 2018-09-03
      DOI: 10.1007/s13319-018-0196-5
      Issue No: Vol. 9, No. 3 (2018)
       
  • An Effective DOS Attack Detection Model in Cloud Using Artificial Bee
           Colony Optimization
    • Authors: Jitendra Kumar Seth; Satish Chandra
      Abstract: Denial of service (DOS) attack is a serious threat in the cloud which causes unavailability of cloud services to genuine users. Firewalls alone are not able to detect DOS attack because of the dynamic nature of the attack and masked identity. This paper proposes a cloud-based DOS attack detection model (CDOSD) which is setup through key feature selection using a new binary version of Artificial bee colony optimization (BABCO) and decision tree (DT) classifier. The DT classifier is utilized because it has superior learning speed than other classification algorithms and BABCO is used for feature selection from the dataset. The real-time DOS attack tools are used to perform the attacks on cloud host. It has been observed that the CDOSD detects DOS attack on cloud host with high accuracy and a very low false positive rate. The features of the dataset are significantly reduced by BABCO which provides a low dimension of computation space for training and classification. The proposed scheme is also compared with the other existing models and found superior in performance. The proposed methodology may help the cloud service providers to design more secure cloud environment. Graphical
      PubDate: 2018-09-03
      DOI: 10.1007/s13319-018-0195-6
      Issue No: Vol. 9, No. 3 (2018)
       
  • Symmetric Cryptosystem Based on Chaos Structured Phase Masks and Equal
           Modulus Decomposition Using Fractional Fourier Transform
    • Authors: R. Girija; Hukum Singh
      Abstract: Chaotic structured phase masks (CSPM), equal modulus decomposition (EMD) and fractional Fourier transform are potentially proposed to design the effective symmetric cryptosystem. The encryption and decryption process of our proposed system is completely established by using double random phase encoding (DRPE) in fractional Fourier domain. Frequently, random phase mask (RPM) are used routinely as secret key in most of the DRPE schemes. Nevertheless, RPM are not optimally robust against many attacks. Henceforth, this method utilises chaotic structured phase masks in the place of random phase masks (RPM). CSPM are assembled with the help of logistic map, Fresnel zone plates (FZP) and radial Hilbert mask (RHM) functions. To design an effectual trap door one-way function, equal modulus decomposition (EMD) is performed for encryption and decryption procedure of our cryptosystem. Various asymmetric cryptosystem was designed for EMD; but constructing EMD effectively in symmetric cryptosystem based on chaos structured phase masks and fractional Fourier transform is considered as a novel work and it is employed. As a result, the proposed symmetric cryptosystem attains high robust and withstand many attacks. Numerical simulations are exhibited in order to validate our system and support the fact that our EMD and CSPM based cryptosystem is extremely suitable for securing images.
      PubDate: 2018-08-25
      DOI: 10.1007/s13319-018-0192-9
      Issue No: Vol. 9, No. 3 (2018)
       
  • 3D Point Cloud Initial Registration Using Surface Curvature and SURF
           Matching
    • Authors: Lijing Tong; Xiang Ying
      Abstract: Initial registration of the 3D point clouds affects the final reconstruction result directly. However, some of the current point cloud initial registration methods are mainly based on the spatial distribution characteristics of the point clouds, which have the problems of large calculation, low accuracy of registration, and so on. In this paper, a new initial registration method based on the combination of texture features and curvature features is proposed to improve the speed and accuracy of the initial registration. First, the texture information of the point cloud model is projected onto a two-dimensional space to obtain its projection image. Then, the matched point pairs of the projection image are extracted using the SURF operator. Next, the curvature information of the matched point pairs is calculated, and only the point pairs with higher similarity are reserved. Finally, the transformed matrix is calculated using the reserved point pairs to achieve the initial registration. Experimental results show that the proposed method can implement the initial registration quickly and accurately. Graphical
      PubDate: 2018-08-22
      DOI: 10.1007/s13319-018-0193-8
      Issue No: Vol. 9, No. 3 (2018)
       
  • Pixel Overlapping Image Steganography Using PVD and Modulus Function
    • Authors: Aditya Kumar Sahu; Gandharba Swain
      Abstract: This paper proposes an image steganography technique based on the principle of pixel overlapping to improve the embedding capacity (EC) and peak signal-to-noise ratio (PSNR). The proposed technique has two variants: (1) overlapped pixel value differencing with modulus function (OPVDMF), and (2) overlapped pixel value differencing (OPVD). Both the variants operate on pixel blocks of size 1 × 5. The OPVDMF uses the difference between the first four pixels with the 5th pixel for data embedding. Again the pixel adjustment is done to minimize the distortion. The OPVD method divides the block into four sub-blocks with 1st and 5th, 5th and 2nd, 3rd and 5th, 5th and 4th pixels. The proposed technique has been compared with the existing techniques in terms of PSNR, EC, bits per pixel, and execution time. Further, the security of the proposed technique has been verified using RS analysis. Graphical
      PubDate: 2018-08-18
      DOI: 10.1007/s13319-018-0188-5
      Issue No: Vol. 9, No. 3 (2018)
       
  • Energy-Efficient Target Tracking Algorithm for WSNs
    • Authors: Chunming Wu; Chen Zhao; Haoquan Gong
      Abstract: In order to solve the problem of node energy consumption in wireless sensor networks, an energy-efficient tracking cluster structure is proposed. The structure of the tracking cluster is determined by the cooperation between the auxiliary node and the cluster head node, and avoids the redundant nodes participating in the tracking. In order to balance the energy consumption of cluster head nodes, the method predict the position of target in next time by making auxiliary nodes track algorithm, then according to the prediction results, the nodes near prediction position are woken up in advance to reduce the energy consumption in the whole net. In the process of tracking, the loss recovery mechanism is adopted to solve the target loss phenomenon, and the continuous tracking of the target is completed. Finally, experiments are carried out with the improved particle filter algorithm. The simulation results show that the proposed algorithm can reduce the energy consumption of the nodes under the condition that the tracking accuracy is satisfied. Make the whole network energy consumption more balanced.
      PubDate: 2018-12-08
      DOI: 10.1007/s13319-018-0210-y
      Issue No: Vol. 10, No. 1 (2018)
       
  • Watermarking Techniques for Three Dimensional (3D) Mesh Authentication in
           Spatial Domain
    • Abstract: Due to lightning growth in multimedia processing technologies and frequent usage of Internet, media contents often get exposed to malicious interventions. Hence it is very important to verify the authenticity and integrity of the digital contents by using proper security mechanisms. Thanks to the advancement in computer graphics processing technologies due to which higher dimensional rendering of real life objects has become apparent. Lately, three dimensional (3D) representations are more preferred in different application domains for better visualization and understanding. While talking about security related to 3D models, digital watermarking has come out to be an effective and prominent solution among various other authentication mechanisms. The purpose of this study is to present an in-depth review and investigation of the authentication based watermarking techniques for 3D models in spatial domain. The methods are classified based on various attributes that effect the design and working of an authentication protocol. The study also discusses different types of geometrical attacks that may occur to a 3D model and methodologies that help in detecting and locating the attacks. The paper concludes with a set of remarks and some of the research issues and challenges which are needed to be studied further.
      PubDate: 2018-08-28
      DOI: 10.1007/s13319-018-0194-7
       
 
 
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