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Publisher: Springer-Verlag (Total: 2351 journals)

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Showing 1 - 200 of 2351 Journals sorted alphabetically
3D Printing in Medicine     Open Access  
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: 22, SJR: 1.118, CiteScore: 4)
AAPS PharmSciTech     Hybrid Journal   (Followers: 7, SJR: 0.752, CiteScore: 3)
Abdominal Imaging     Hybrid Journal   (Followers: 14, 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: 23, 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: 26, 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: 6, SJR: 0.24, CiteScore: 1)
Acta Geodaetica et Geophysica     Hybrid Journal   (Followers: 2, SJR: 0.305, 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: 5, SJR: 7.589, CiteScore: 12)
Acta Oceanologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.334, CiteScore: 1)
Acta Parasitologica     Hybrid Journal   (Followers: 10, SJR: 0.641, CiteScore: 1)
Acta Physiologiae Plantarum     Hybrid Journal   (Followers: 2, SJR: 0.574, CiteScore: 2)
Acta Politica     Hybrid Journal   (Followers: 14, SJR: 0.605, CiteScore: 1)
Activitas Nervosa Superior     Hybrid Journal   (SJR: 0.147, CiteScore: 0)
adhäsion KLEBEN & DICHTEN     Hybrid Journal   (Followers: 7, SJR: 0.103, CiteScore: 0)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 23, 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: 16, 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: 52, 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: 3, SJR: 0.475, CiteScore: 2)
Advances in Polymer Science     Hybrid Journal   (Followers: 43, 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: 9, SJR: 0.825, CiteScore: 1)
African Archaeological Review     Hybrid Journal   (Followers: 16, 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: 5, SJR: 0.276, CiteScore: 1)
Agriculture and Human Values     Hybrid Journal   (Followers: 14, SJR: 1.173, CiteScore: 3)
Agroforestry Systems     Hybrid Journal   (Followers: 19, SJR: 0.663, CiteScore: 1)
Agronomy for Sustainable Development     Hybrid Journal   (Followers: 12, SJR: 1.864, CiteScore: 6)
AI & Society     Hybrid Journal   (Followers: 8, 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: 28, 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: 12, 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: 5)
Analytical and Bioanalytical Chemistry     Hybrid Journal   (Followers: 32, SJR: 0.978, CiteScore: 3)
Anatomical Science Intl.     Hybrid Journal   (Followers: 2, 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: 18, 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: 30, 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: 12, SJR: 0.413, CiteScore: 1)
Annals of Microbiology     Hybrid Journal   (Followers: 10, 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: 11)
Annals of Regional Science     Hybrid Journal   (Followers: 7, 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: 13, 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: 43, SJR: 0.571, CiteScore: 2)
Applied Biochemistry and Microbiology     Hybrid Journal   (Followers: 17, SJR: 0.21, CiteScore: 1)
Applied Cancer Research     Open Access  
Applied Categorical Structures     Hybrid Journal   (Followers: 2, SJR: 0.49, CiteScore: 0)
Applied Composite Materials     Hybrid Journal   (Followers: 49, SJR: 0.58, CiteScore: 2)
Applied Entomology and Zoology     Partially Free   (Followers: 3, 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: 12, SJR: 0.6, CiteScore: 2)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 4, SJR: 0.319, CiteScore: 1)
Applied Mathematics & Optimization     Hybrid Journal   (Followers: 6, 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: 63, SJR: 1.182, CiteScore: 4)
Applied Physics A     Hybrid Journal   (Followers: 9, 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: 18, SJR: 0.225, CiteScore: 0)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5, SJR: 0.542, CiteScore: 1)
Aquaculture Intl.     Hybrid Journal   (Followers: 23, SJR: 0.591, CiteScore: 2)
Aquarium Sciences and Conservation     Hybrid Journal   (Followers: 1)
Aquatic Ecology     Hybrid Journal   (Followers: 34, 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: 20, 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: 60, SJR: 0.745, CiteScore: 2)
Archive for History of Exact Sciences     Hybrid Journal   (Followers: 8, SJR: 0.186, CiteScore: 1)
Archive for Mathematical Logic     Hybrid Journal   (Followers: 2, 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: 143, 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: 8, 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: 14, 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: 5, 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: 14, 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: 12, 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: 5, 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  

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Journal Cover
Artificial Life and Robotics
Journal Prestige (SJR): 0.226
Number of Followers: 9  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1614-7456 - ISSN (Online) 1433-5298
Published by Springer-Verlag Homepage  [2351 journals]
  • Deep feedback GMDH-type neural network and its application to medical
           image analysis of MRI brain images
    • Authors: Shoichiro Takao; Sayaka Kondo; Junji Ueno; Tadashi Kondo
      Pages: 161 - 172
      Abstract: The deep feedback group method of data handling (GMDH)-type neural network is applied to the medical image analysis of MRI brain images. In this algorithm, the complexity of the neural network is increased gradually using the feedback loop calculations. The deep neural network architecture is automatically organized so as to fit the complexity of the medical images using the prediction error criterion defined as Akaike’s information criterion (AIC) or prediction sum of squares (PSS). The recognition results show that the deep feedback GMDH-type neural network algorithm is useful for the medical image analysis of MRI brain images, because the optimum neural network architectures fitting the complexity of the medical images are automatically organized so as to minimize the prediction error criterion defined as AIC or PSS.
      PubDate: 2018-06-01
      DOI: 10.1007/s10015-017-0410-1
      Issue No: Vol. 23, No. 2 (2018)
       
  • Development of post-processor approach for an industrial robot FANUC R2000
           i C
    • Authors: Fusaomi Nagata; Yusaku Yamane; Yudai Okada; Takamasa Kusano; Keigo Watanabe; Maki K. Habib
      Pages: 186 - 191
      Abstract: In this paper, a post-processor for the industrial robot FANUC R2000iC is introduced. Without going through the conventional teaching process, the post-processor regularly generates a rigorous robotic program from cutter location source data called CLS data. The CLS data are easily made through the main process of CAD/CAM, so that a promising data interface is realized between the industrial robot and CAD/CAM. The effectiveness is evaluated through simulations of trajectory following and also through an actual machining experiment of foamed polystyrene with a complex shape.
      PubDate: 2018-06-01
      DOI: 10.1007/s10015-017-0411-0
      Issue No: Vol. 23, No. 2 (2018)
       
  • Development of entertainment balloon robot system for an indoor event
           venue
    • Authors: Hiroya Nagata; Stefan Walke; Soichiro Yokoyama; Tomohisa Yamashita; Hiroyuki Iizuka; Masahito Yamamoto; Keiji Suzuki; Hidenori Kawamura
      Pages: 192 - 199
      Abstract: This project revolves around the combination of different state-of-the-art concepts to create balloon robots which can be used for entertainment purposes. The goal is having multiple robots perform a choreographed flight on preset paths to make use of the “dead space” over the crowd of an event, either as part of the show or displaying information and advertisements. As the balloon is flying on a defined trajectory, a tracking system for its position is needed. For this purpose, several infrared cameras monitor the position of a marker attached to the balloon. The main challenge is overcoming the instabilities of the system to ensure a smooth and precise flight, resulting from the balloons structure: the balloon is filled with helium to counteract the forces of gravity and, therefore, minimize the work needed to keep its momentum. Finding a way to achieve this optimization and the precision mentioned beforehand is the task that we will present and solve in this paper.
      PubDate: 2018-06-01
      DOI: 10.1007/s10015-017-0419-5
      Issue No: Vol. 23, No. 2 (2018)
       
  • PKRank: a novel learning-to-rank method for ligand-based virtual screening
           using pairwise kernel and RankSVM
    • Authors: Shogo D. Suzuki; Masahito Ohue; Yutaka Akiyama
      Pages: 205 - 212
      Abstract: The development of a new drug takes over 10 years and costs approximately US $2.6 billion. Virtual compound screening (VS) is a part of efforts to reduce this cost. Learning-to-rank is a machine learning technique in information retrieval that was recently introduced to VS. It works well because the application of VS requires the ranking of compounds. Moreover, learning-to-rank can treat multiple heterogeneous experimental data because it is trained using only the order of activity of compounds. In this study, we propose PKRank, a novel learning-to-rank method for ligand-based VS that uses a pairwise kernel and RankSVM. PKRank is a general case of the method proposed by Zhang et al. with the advantage of extensibility in terms of kernel selection. In comparisons of predictive accuracy, PKRank yielded a more accurate model than the previous method.
      PubDate: 2018-06-01
      DOI: 10.1007/s10015-017-0416-8
      Issue No: Vol. 23, No. 2 (2018)
       
  • Blind source extraction of long-term physiological signals from facial
           thermal images
    • Authors: Kosuke Oiwa; Rikito Okamoto; Shizuka Bando; Akio Nozawa
      Pages: 218 - 224
      Abstract: The amount of mental work using information equipment has been increasing because of a rapid growth of an information society. Accumulation of short-term mental work can cause various stresses and a disturbance of circadian rhythm and lead to fatigue, anxiety, and distraction. Estimation and understanding the physiopsychological states is desired for decreasing or controlling stresses to maintain health. There have been several investigations on the assessment of short-term physiopsychological states using infrared thermography. However, the method has been used rarely for assessing long-term physiopsychological states. In the present study, extraction of independent components related to long-term physiological signals is attempted by applying independent component analysis to facial thermal images obtained over 6 months (July–December). Furthermore, multiple regression analysis is attempted to create psychological model by facial thermal images. As the result, extracted independent components are shown to represent the strong features in nasal, mouth, cheek, eyebrow, and forehead regions. Attempting multiple regression analysis, features in nasal and mouth regions contributed to depression or dejection mood, features in cheek, eyebrow and forehead regions contributed to fatigue and features in tip of nasal, eyebrow and mouth regions contributed to state anxiety.
      PubDate: 2018-06-01
      DOI: 10.1007/s10015-017-0423-9
      Issue No: Vol. 23, No. 2 (2018)
       
  • Non-contact measurement of respiratory cycles using a microphone array
    • Authors: Masayuki Miwa; Masafumi Uchida
      Pages: 255 - 260
      Abstract: Previously proposed methods of respiration measurement have relied on thermistors or strain gauges, which must contact the body throughout the measurement, causing potential discomfort. Here, we develop a non-contact system that measures respiratory cycles by detecting the exhalation sounds using an array of microphones. Several respiratory-sound signals were recorded by the microphone array, and the respiratory signal was separated from the raw measurement data by the independent component analysis method. Respiratory analysis by the proposed method was compared with that of the previously validated thermistor method. Similar measurements were obtained by both methods, confirming that the proposed method eases the discomfort of users without compromising the measurement performance.
      PubDate: 2018-06-01
      DOI: 10.1007/s10015-017-0413-y
      Issue No: Vol. 23, No. 2 (2018)
       
  • Medical image analysis of abdominal X-ray CT images by deep multi-layered
           GMDH-type neural network
    • Authors: Shoichiro Takao; Sayaka Kondo; Junji Ueno; Tadashi Kondo
      Pages: 271 - 278
      Abstract: In this study, a deep multi-layered group method of data handling (GMDH)-type neural network is applied to the medical image analysis of the abdominal X-ray computed tomography (CT) images. The deep neural network architecture which has many hidden layers are automatically organized using the deep multi-layered GMDH-type neural network algorithm so as to minimize the prediction error criterion defined as Akaike’s information criterion (AIC) or prediction sum of squares (PSS). The characteristics of the medical images are very complex and therefore the deep neural network architecture is very useful for the medical image diagnosis and medical image recognition. In this study, it is shown that this deep multi-layered GMDH-type neural network is useful for the medical image analysis of abdominal X-ray CT images.
      PubDate: 2018-06-01
      DOI: 10.1007/s10015-017-0420-z
      Issue No: Vol. 23, No. 2 (2018)
       
  • Effectiveness of color correction on the quantitative analysis of
           histopathological images acquired by different whole-slide scanners
    • Abstract: Advances in whole-slide scanning have led to research on digital pathology, including monitor-based diagnosis, feature quantification, and computer-aided diagnosis. The color variations due to the staining process and scanning device are a serious issue that should be solved in whole-slide imaging applications, and methods for color correction have been studied. Nevertheless, the effectiveness of color-correction methods in the quantitative analysis of histopathological images acquired by different whole-slide scanners (WSSs) has not been confirmed. In this work, several liver tissue samples were scanned by different WSSs, and a color-correction method for whole-slide images was applied to the digitized tissue specimens. A set of histological features were extracted from the histopathological images, both without and with color correction, to analyze the effectiveness of the color-correction method in feature quantification and cancer identification.
      PubDate: 2018-07-19
       
  • Contactless blood pressure sensing using facial visible and thermal images
    • Authors: Kosuke Oiwa; Shizuka Bando; Akio Nozawa
      Abstract: Hypertension is one of the leading risk factors for several diseases. Measurement and monitoring of blood pressure anytime and anywhere are important to lower blood pressure and prevent pathogenesis of diseases. Non-contact blood pressure measurement is desired to monitor blood pressure anytime and anywhere. The aim of this study was to develop a non-contact blood pressure sensing system. A previous study reported that amplitude and time differences of facial photoplethysmogram (PPG) components extracted using brightness variation of facial skin color in facial visible images could be useful indices for estimating blood pressure. The maximum error between measured and estimated blood pressure using facial PPG components was 12 mmHg. An additional signal processing algorithm is desired to increase the accuracy for estimating blood pressure using facial PPG components. By contrast, facial skin temperature also reflects changes in the facial blood circulation. High-accuracy estimation of blood pressure could be expected using both facial PPG components and facial skin temperature. In this study, improvement of accuracy for estimating blood pressure using facial PPG components by attempting to apply additional signal processing to facial skin color variation. Furthermore, a correlation analysis between facial skin temperature and measured blood pressure was performed, and individual models for blood pressure estimation were created.
      PubDate: 2018-07-18
      DOI: 10.1007/s10015-018-0450-1
       
  • Obstacle recognition in front of vehicle based on geometry information and
           corrected laser intensity
    • Authors: Jiangliang Huang; Derong Tan; Liang Sun; Jinju Shao; Yaojuan Ma; Zhangu Wang
      Abstract: Accurate identification and classification of obstacles in front of vehicle is an important part of intelligent vehicle safety driving. To solve the difficulties in distinguishing geometry similar obstacles and blocked obstacles, a real-time algorithm to accurately identify vehicles and pedestrians in a single frame was presented using laser intensity correction model and obstacle characteristic information. To complete the identification of obstacles, there are two classifications; the first classification according to the diagonal lengths of obstacles’ minimum enclosing rectangle, and then the second classification according to the mean and variance of intensity. As for different overlap criterion, result shows that the classification performance of our methods is better than other methods available.
      PubDate: 2018-07-11
      DOI: 10.1007/s10015-018-0446-x
       
  • Cellular automata in fractal arrangement
    • Authors: Yoshihiko Kayama
      Abstract: Cellular automata (CAs) have been successfully used to investigate complex phenomena across a broad range of research fields. Standard CAs can be extended by applying a novel algorithm known as the recursive estimation of neighbors. This process allows the construction of non-uniform CAs that are composed of cells with different perception areas parameterized by an extra radius. This paper proposes a non-uniform CA called Fractal CA (F-CA), which is composed of cells with self-similar fractal arrangement. By focusing on the extension of 1D elementary CAs, certain characteristics of standard CAs are carried over into F-CAs, including time reversibility of the linear rules. F-CAs based on 2D outer-totalistic CAs are also mentioned briefly.
      PubDate: 2018-07-06
      DOI: 10.1007/s10015-018-0448-8
       
  • Neural networks IC controlled multi-legged walking MEMS robot with
           independent leg mechanism
    • Authors: Satoshi Kawamura; Daisuke Tanaka; Taisuke Tanaka; Daisuke Noguchi; Yuichiro Hayakawa; Minami Kaneko; Ken Saito; Fumio Uchikoba
      Abstract: In this paper, we will compare the walking behavior of quadruped and hexapod walking MEMS robots. These robots are fabricated by connecting same modules, which are composed of a couple of independent leg mechanisms. Independent leg mechanisms can actuate the single leg by a single artificial muscle wire. The neural networks IC that mimics real living organisms controls the mechanical systems. The length and weight of the quadruped MEMS robot were 7.2 mm and 95.8 mg, respectively. The quadruped robot showed the walking speed of 24.6 mm/min. The robot tended to lose its balance and the weight balance is quite important for the moving quadruped. On the other hand, the length and weight of the hexapod MEMS robot were 9.0 mm and 162 mg, respectively. The hexapod robot showed stable walking. The speed was 27.0 mm/min.
      PubDate: 2018-07-05
      DOI: 10.1007/s10015-018-0445-y
       
  • Optical examination of the efficacy of contact needle therapy for
           chemotherapy-induced peripheral neuropathy: integration of inspection in
           Kampo therapy with color spectrum information
    • Authors: Keiko Ogawa-Ochiai; Akiko Shirai; Masaki Tsuda; Norimichi Tsumura
      Abstract: Cancer chemotherapy-induced peripheral neuropathy (CIPN) deteriorates the patient’s quality of life, often resulting in discontinuation of treatment with potentially effective chemotherapy. Contact needle therapy (CNT) is one of the traditional Japanese acupuncture methods based on the concept of Kampo (Japanese traditional) medicine. CNT on CIPN has been considered effective empirically, but an objective evaluation has proven difficult. We have focused on the oxygen saturation besides the symptom score. We have already proposed optical path-length matrix method (OPLM) for estimating oxygen saturation of the skin, which may help in locating peripheral tissue damage, including neuronal damage. Four patients with CIPN were treated with CNT. The severity of CIPN was evaluated using the Common Terminology Criteria for Adverse Events (CTCAE) ver. 4 and FACT/GOG-Ntx before and after CNT. We also measured oxygen saturation and hemoglobin concentration at the right toe-tip. Correlations among the values were calculated as correlation coefficients. There were significantly improvements in FACT/GOG-Ntx and hemoglobin post-CNT than in pre-CNT (p < 0.05). The oxygen saturation showed broad correlation (0.5 <  r  < 1) with hemoglobin. The oxygen saturation of skin reflects tissue injury and blood stagnation status, and can help in objective evaluation by measuring skin color spectrum. CNT might be considered as one of the safe and effective alternative therapeutic options for CIPN. Our method of evaluation using skin color spectrum information integrates, in a sense, the inspection in Kampo (Japanese traditional medicine) therapy and scientific methodology.
      PubDate: 2018-07-04
      DOI: 10.1007/s10015-018-0447-9
       
  • Word polarity attention in sentiment analysis
    • Authors: Yohei Hiyama; Hidekazu Yanagimoto
      Abstract: Neural network approaches are end-to-end learning approaches without well-designed training data and achieve high performance in sentiment analysis. Because of complex architecture of a neural network, it is difficult to analyze how they work and find their bottleneck to improve their performance. To remedy it, we propose neural sentiment analysis with attention mechanism. Using attention mechanism, we can find important words to determine sentiment polarity of a sentence. Moreover, we can understand why the sentiment analysis could not classify sentiment polarity correctly. We compare our method with neural sentiment analysis without attention mechanism over TSUKUBA corpus and Stanford Sentiment Treebank (SST). Experimental results show that our method is interpretable and can achieve higher precision.
      PubDate: 2018-06-28
      DOI: 10.1007/s10015-018-0439-9
       
  • Characteristic extraction of machined surface using wavelet transformation
    • Authors: Akimasa Otsuka; Koumei Muramatsu; Mizuha Sugi; Fusaomi Nagata
      Abstract: In the development and design of machinery products, product performance and tolerance stack-up analysis are generally calculated using computer software. In these calculations, the product shape is modeled as a set of primitives, which are simple geometrical shapes, such as plane, cylinder and sphere. However, the shape of an actual product is different from these shapes because machining error cannot be avoided. Actual shapes usually exhibit deviations in scales, such as geometric deviations, waviness and surface roughness. Therefore, the error between the result of computer calculation and the actual behavior of the product is caused by the shape simplification. A method of for generation of a pseudo shape is required to reduce the calculation error. In this study, a new method for random generation of skin model shapes, which maintain the surface characteristics in multiscale levels, is proposed. In the method, first, an optimal mother wavelet should be decided because they depend on extracting the surface characteristics. In this paper, eight representative mother wavelets are used in wavelet transformation for comparison. The results are discussed based on the results obtained through a case study, and latent problems are also observed.
      PubDate: 2018-06-23
      DOI: 10.1007/s10015-018-0443-0
       
  • Iterative curved surface fitting algorithm using a raster-scanning window
    • Authors: Fusaomi Nagata; Akimasa Otsuka; Takeshi Ikeda; Hiroaki Ochi; Keigo Watanabe; Maki K. Habib
      Abstract: In this paper, an iterative curved surface fitting method using a small sliding window is first proposed to smooth the original organized point cloud data (PCD) with noise and fluctuation. Samples included in a small sliding window positioned in PCD are successively fitted to a quadratic surface from upper left to lower right using a least squares method. In the iterative process, outliers of samples are asymptotically removed based on an evaluation index. This proposed method allows original PCD to be smoothed keeping its own shape feature. Then, the already developed stereolithography (STL) generator is used to produce triangulated patches from the smoothed PCD. The process allows to reconstruct 3D digital data of a real object written with STL format for reverse engineering from original PCD with noise. The effectiveness and usefulness of the proposed curved surface fitting method are demonstrated through actual smoothing experiments.
      PubDate: 2018-06-23
      DOI: 10.1007/s10015-018-0444-z
       
  • Effect of acupuncture on the autonomic nervous system as evaluated by
           non-contact heart rate variability measurement
    • Authors: Kouki Kurita; Kaoru Kiyomitsu; Chie Ogasawara; Rei Mishima; Keiko Ogawa-Ochiai; Norimichi Tsumura
      Abstract: We evaluated the effect of acupuncture treatment on the autonomic nervous system by measuring the non-contact heart rate variability (HRV). HRV shows the changes in sympathetic and parasympathetic nervous activities. Sympathetic and parasympathetic nervous activities are respectively reflected in the high-frequency- (HF) and low-frequency (LF) components of HRV. Many studies have shown that sensory stimulation affects the cardiovascular system. In particular, acupuncture stimulation often decreases the LF component, and there is a significant positive correlation between the HF component and the number of acupuncture sensations administered. These previous studies generally used an electrocardiograph or other contact plethysmograph to obtain the HRV. However, the use of electrodes and contact sensors might cause the participants to experience stress. Therefore, we used non-contact HRV measurement to evaluate the effect of acupuncture treatment. Using a remote measurement system with a digital camera enables the exclusion of external factors, and the attainment of more natural biological information. In the present study, we verified the accuracy of remote HRV measurement using a digital camera, and evaluated the effect of acupuncture on the autonomic nervous system.
      PubDate: 2018-06-18
      DOI: 10.1007/s10015-018-0441-2
       
  • Docking at pool and sea by using active marker in turbid and day/night
           environment
    • Authors: Khin Nwe Lwin; Naoki Mukada; Myo Myint; Daiki Yamada; Mamoru Minami; Takayuki Matsuno; Kazuhiro Saitou; Waichiro Godou
      Abstract: Nowadays, autonomous underwater vehicle (AUV) is playing an important role in human society in different applications such as inspection of underwater structures (dams, bridges). It has been desired to develop AUVs that can work in a sea with a long period of time for the purpose of retrieving methane hydrate, or rare metal, and so on. To achieve such AUVs, the automatic recharging capability of AUVs under the sea is indispensable and it requires AUVs to dock itself to recharging station autonomously. Therefore, we have developed a stereo-vision-based docking methodology for underwater battery recharging to enable the AUV to continue operations without returning surface vehicle for recharging. Since underwater battery recharging units are supposed to be installed in a deep sea, the deep-sea docking experiments cannot avoid turbidity and low-light environment. In this study, the proposed system with a newly designed active—meaning self-lighting—3D marker has been developed to improve the visibility of the marker from an underwater vehicle, especially in turbid water. Experiments to verify the robustness of the proposed docking approach have been conducted in a simulated pool where the lighting conditions change from day to night. Furthermore, sea docking experiment has also been executed to verify the practicality of the active marker. The experimental results have confirmed the effectiveness of the proposed docking system against turbidity and illumination variation.
      PubDate: 2018-06-16
      DOI: 10.1007/s10015-018-0442-1
       
  • A dynamic allocation bare bones particle swarm optimization algorithm and
           its application
    • Authors: Jia Guo; Yuji Sato
      Abstract: The bare bones particle swarm optimization algorithm is wildly used in different areas. However, this algorithm may suffer from premature convergence by getting trapped in a local optimum when dealing with multimodal functions. To solve this problem, a dynamic allocation bare bones particle swarm optimization (DABBPSO) algorithm is proposed in this work. Particles are divided into two groups before evaluation according to their personal best position. One group is named as main group (MG) and the other one is called the ancillary group (AG). The MG focuses on digging and trying to find the optimal point in the current local optimum. Conversely, the AG aims at exploring the research area and giving the whole swarm more chances to escape from the local optimum. The two groups work together to find the global optimal in the search area. Also, the DABBPSO is applied to a set of well-designed experiments and a set of 0–1 knapsack problems. Finally, the experimental results confirm the optimization ability of the proposed algorithm.
      PubDate: 2018-06-07
      DOI: 10.1007/s10015-018-0440-3
       
  • Estimating autonomic nerve activity using variance of thermal face images
    • Authors: Shogo Matsuno; Tota Mizuno; Hirotoshi Asano; Kazuyuki Mito; Naoaki Itakura
      Abstract: In this paper, we propose a novel method for evaluating mental workload (MWL) using variances in facial temperature. Moreover, our method aims to evaluate autonomic nerve activity using single facial thermal imaging. The autonomic nervous system is active under MWL. In previous studies, temperature differences between the nasal and forehead portions of the face were used in MWL evaluation and estimation. Hence, nasal skin temperature (NST) is said to be a reliable indicator of autonomic nerve activity. In addition, autonomic nerve activity has little effect on forehead temperature; thus, temperature differences between the nasal and forehead portions of the face have also been demonstrated to be a good indicator of autonomic nerve activity (along with other physiological indicators such as EEG and heart rate). However, these approaches have not considered temperature changes in other parts of the face. Thus, we propose novel method using variances in temperature for the entire face. Our proposed method enables capture of other parts of the face for temperature monitoring, thereby increasing evaluation and estimation accuracy at higher sensitivity levels than conventional methods. Finally, we also examined whether further high-precision evaluation and estimation was feasible. Our results proved that our proposed method is a highly accurate evaluation method compared with results obtained in previous studies using NST.
      PubDate: 2018-06-04
      DOI: 10.1007/s10015-018-0436-z
       
 
 
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