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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: 16, 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: 27, 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: 19, 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: 7, 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: 25, 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: 59, 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: 30, 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: 11, 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: 13, 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: 20, 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: 12, 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: 9, SJR: 1.424, CiteScore: 4)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 3, 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: 8, 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: 26, 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: 152, 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: 17, 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: 9, 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
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  [2352 journals]
  • Multi-objective safe reinforcement learning
    • Authors: Naoto Horie; Tohgoroh Matsui; Koichi Moriyama; Atsuko Mutoh; Nobuhiro Inuzuka
      Abstract: Reinforcement learning (RL) is a learning method that learns actions based on trial and error. Recently, multi-objective reinforcement learning (MORL) and safe reinforcement learning (SafeRL) have been studied. The objective of conventional RL is to maximize the expected rewards; however, this may cause a fatal state because safety is not considered. Therefore, RL methods that consider safety during or after learning have been proposed. SafeRL is similar to MORL because it considers two objectives, i.e., maximizing expected rewards and satisfying safety constraints. However, to the best of our knowledge, no study has investigated the relationship between MORL and SafeRL to demonstrate that the SafeRL method can be applied to MORL tasks. This paper combines MORL with SafeRL and proposes a method for multi-objective safe RL (MOSafeRL). We applied the proposed method to Resource Gathering task, which is a standard task used in MORL test cases.
      PubDate: 2019-01-18
      DOI: 10.1007/s10015-019-00524-2
  • HMD-based cover test system for the diagnosis of ocular misalignment
    • Authors: Noriyuki Uchida; Kayoko Takatuka; Hisaaki Yamaba; Atsushi Nakazawa; Masayuki Mukunoki; Naonobu Okazaki
      Abstract: The diagnosis of ocular misalignment is difficult and needs examination by ophthalmologists and orthoptists. However, there are not enough qualified personnel to perform such diagnoses. The eye position check is in part systematized. With this check system, we can detect not only the symptoms but also the angle and the extent of strabismus. However, the types of strabismus that can be detected with this technique are limited to exotropia. The purpose of this study is to develop a simplified check system to screen at least the presence of strabismus apart from the type of strabismus or amount of ocular deviation. First, we digitalized the check process. Specifically, we digitized the elemental technology, i.e., the cover–uncover function, required for automation of the typical cover test for eye position check. Furthermore, we developed and implemented an abnormality determination process and evaluated the performance of the system through this experiment, the results of which indicated a higher detection capability than the conventional cover test performed by ophthalmologists and orthoptists.
      PubDate: 2019-01-02
      DOI: 10.1007/s10015-018-0520-4
  • Long-distance sea wave extraction method based on improved Otsu algorithm
    • Authors: Ying Yang; Cunwei Lu
      Abstract: Sea wave extraction is the foundation of sea wave measurement, which plays a significant role in binocular stereo vision-based tsunami early-warning systems. However, long-distance sea surface images possess two typical features: ununiformed illuminance and a low signal-to-noise ratio that makes it difficult to extract sea waves out from sea surface images and that leads to incorrect extractions. In this paper, we improved the Otsu algorithm to realize a dynamic multi-threshold algorithm for sea wave extraction. First, the original image was divided into small blocks and the dynamic multi-thresholds were determined according to local sea surface illuminance. Then an evaluation function was defined to add constraint conditions to adjacent blocks’ thresholds. Finally, sea waves were extracted out using the blocks’ thresholds in all the blocks. As seen in our experimental results, the correct extraction rate was 80.9%, most sea waves are extracted regardless of their intensity.
      PubDate: 2019-01-02
      DOI: 10.1007/s10015-018-0516-0
  • Implementation of a historical materials’ presentation AR system in
           cooperation with a cable television program
    • Authors: Tomoyuki Ishida; Hayato Ito
      Abstract: In cooperation with a cable television program, we constructed an augmented reality (AR) system for the presentation of historical materials. We proposed a new media-fusion system called the historical materials’ presentation AR system, which integrates digital archives, AR technologies, and television programs. The proposed system consists of a mobile application and an AR-contents’ management system. The mobile application provides the user with historical museum materials in the form of AR contents and voice guidance. This application consists of the top screen, the AR-content acquisition screen, and the map screen. Meanwhile, the AR-content management system manages the AR contents and voice guidance provided to the user. This management system is a data management Web application for registering, editing, and deleting AR contents and the voice guidance used in the mobile application. The operability, necessity, and functionality of the historical materials’ presentation AR system were evaluated in a questionnaire survey of 45 subjects. All items were highly rated by the respondents.
      PubDate: 2019-01-02
      DOI: 10.1007/s10015-018-0521-3
  • Implementation of an AR Traditional Japanese Craft Presentation System:
           presentation of traditional crafts using the Kansei retrieval method
    • Authors: Tomoyuki Ishida; Misaki Iyobe; Akihiro Miyakawa; Kaoru Sugita; Yoshitaka Shibata
      Abstract: The impressions of traditional Japanese crafts retrieved by a presentation system adopting the Kansei method were evaluated in a questionnaire survey. By analyzing the survey results, we associated the visual features of the traditional crafts with the Kansei words. Kansei means sensibility and the ability to accept the impression. In addition, we extracted a feature quantity of the traditional crafts, called the visual pattern image coding, from the traditional craft image, and associated this physical feature with the visual features of the traditional crafts. From these analyses, we implemented an augmented reality (AR) Traditional Japanese Craft Presentation System using the Kansei retrieval method. To evaluate the effectiveness of the Kansei retrieval method, we investigated the satisfaction levels of the retrieved results of traditional crafts. The subjects’ responses to the AR Traditional Japanese Craft Presentation System were overwhelmingly positive.
      PubDate: 2019-01-02
      DOI: 10.1007/s10015-018-0522-2
  • An improvement of flight performance in the level flight of tilted
           quadrotors by attaching a fixed-wing
    • Authors: Yoshikazu Nakamura; Atsushi Arakawa; Keigo Watanabe; Isaku Nagai
      Abstract: Wide range information is required to be collected by unmanned aerial vehicles (UAVs) and the area for its take-off and landing is limited in the event of a disaster. Therefore, research on the development of a specific UAV, which has two functions of a long distance flight like a fixed-wing aircraft and of a hovering like a rotorcraft, is drawing attention recently. In this study, we focus on a hybrid tilted quadrotor, in which four rotors are tiltable and a wing is fixed. It is clarified, from a simulation comparison in a level flight mode, that the flight performance is effectively improved by adding a fixed-wing, where a tilted quadrotor is assumed to take a level flight by using a controller for a vertical-flight mode and by controlling the angles of some tiltable rotors. It is shown finally that adding a fixed-wing can save the rotor thrust about 77% per flight distance.
      PubDate: 2019-01-02
      DOI: 10.1007/s10015-018-0519-x
  • SnakeSIM: a ROS-based control and simulation framework for
           perception-driven obstacle-aided locomotion of snake robots
    • Authors: Filippo Sanfilippo; Øyvind Stavdahl; Pål Liljebäck
      Pages: 449 - 458
      Abstract: Biological snakes are capable of exploiting roughness in the terrain for locomotion. This feature allows them to adapt to different types of environments. Snake robots that can mimic this behaviour could be fitted with sensors and used for transporting tools to hazardous or confined areas that other robots and humans are unable to access. Snake robot locomotion in a cluttered environment where the snake robot utilises a sensory–perceptual system to perceive the surrounding operational environment for means of propulsion can be defined as perception-driven obstacle-aided locomotion (POAL). The initial testing of new control methods for POAL in a physical environment using a real snake robot imposes challenging requirements on both the robot and the test environment in terms of robustness and predictability. This paper introduces SnakeSIM, a virtual rapid-prototyping framework that allows researchers for the design and simulation of POAL more safely, rapidly and efficiently. SnakeSIM is based on the robot operating system (ROS) and it allows for simulating the snake robot model in a virtual environment cluttered with obstacles. The simulated robot can be equipped with different sensors. Tactile perception can be achieved using contact sensors to retrieve forces, torques, contact positions and contact normals. A depth camera can be attached to the snake robot head for visual perception purposes. Furthermore, SnakeSIM allows for exploiting the large variety of robotics sensors that are supported by ROS. The framework can be transparently integrated with a real robot. To demonstrate the potential of SnakeSIM, a possible control approach for POAL is considered as a case study.
      PubDate: 2018-12-01
      DOI: 10.1007/s10015-018-0458-6
      Issue No: Vol. 23, No. 4 (2018)
  • Barricade construction by primitive termites: task allocation and
           evolutionary perspectives
    • Authors: Nobuaki Mizumoto
      Pages: 469 - 473
      Abstract: The collective activities of social insects often result in the formation of complex structures. Previous studies have revealed the building mechanisms of various species, where sophisticated colony-level structures emerge from the interactions among individuals. However, little is known about the building behaviors of primitive species, which would give us an insight into the evolutionary processes that gave rise to collective building of sophisticated structures. Therefore, in this study, I investigated the building behavior of the primitive termite Zootermopsis nevadensis, which constructs simple barricades to plug the openings to its nests. Observation of the time course of barricade construction showed that the building dynamics followed a logistic pattern, suggesting that their collective building involves an amplification phase, which plays an important role in self-organized building activities in social insects. Moreover, this species exhibited highly skewed task allocation during construction. Together, these results suggest that this primitive species possesses building mechanisms similar to species with more sophisticated collective behaviors.
      PubDate: 2018-12-01
      DOI: 10.1007/s10015-018-0474-6
      Issue No: Vol. 23, No. 4 (2018)
  • Robot sweep path planning with weak field constrains under large motion
    • Authors: Keita Nakamura; Haruna Nakazawa; Jun Ogawa; Keitaro Naruse
      Pages: 532 - 539
      Abstract: The sweeping robot plans a path and moves along its prior path. In conventional studies, the target field is separated into square cells to enable the robot to sweep evenly. The prior sweep path is generated by passing all the target cells. However, an outdoor sweeping robot cannot move as expected, because the robot cannot go to the next target easily due to the uncertainty of the motion of the robot. The uncertain motion is caused by individual differences of motors, disturbances from the environment, and position error. As a result, the robot passes the same point many times and the actual path length becomes longer. In this study, we propose sweep path planning to solve this problem by decreasing the number of cells that the robot must pass. Numerical simulations are carried out to verify our method and to verify the relation among the sweeping rate and robot disturbances. Simulation results show that our method is effective enabling the robot to satisfy a sweep rate of 80% and more, even if the robot has uncertainty of movement.
      PubDate: 2018-12-01
      DOI: 10.1007/s10015-018-0481-7
      Issue No: Vol. 23, No. 4 (2018)
  • A deep unified framework for suspicious action recognition
    • Authors: Amine Ilidrissi; Joo Kooi Tan
      Abstract: As action recognition undergoes change as a field under influence of the recent deep learning trend, and while research in areas such as background subtraction, object segmentation and action classification is steadily progressing, experiments devoted to evaluate a combination of the aforementioned fields, be it from a speed or a performance perspective, are far and few between. In this paper, we propose a deep, unified framework targeted towards suspicious action recognition that takes advantage of recent discoveries, fully leverages the power of convolutional neural networks and strikes a balance between speed and accuracy not accounted for in most research. We carry out performance evaluation on the KTH dataset and attain a 95.4% accuracy in 200 ms computational time, which compares favorably to other state-of-the-art methods. We also apply our framework to a video surveillance dataset and obtain 91.9% accuracy for suspicious actions in 205 ms computational time.
      PubDate: 2018-12-19
      DOI: 10.1007/s10015-018-0518-y
  • Advanced eye-gaze input system with two types of voluntary blinks
    • Authors: Hironobu Sato; Kiyohiko Abe; Shogo Matsuno; Minoru Ohyama
      Abstract: Recently, several eye-gaze input systems have been developed. Some of these systems consider the eye-blinking action to be additional input information. A main purpose of eye-gaze input systems is to serve as a communication aid for the severely disabled. The input system, which employs eye blinks as command inputs, needs to identify voluntary (conscious) blinks. In the past, we developed an eye-gaze input system for the creation of Japanese text. Our previous system employed an indicator selection method for command inputs. This system was able to identify two types of voluntary blinks. These two types of voluntary blinks work as functions governing indicator selection and error correction, respectively. In the evaluation experiment of the previous system, errors were occasionally observed in the estimation of the number of indicators at which the user was gazing. In this study, we propose a new input system that employs a selection method based on a novel indicator estimation algorithm. We conducted an experiment to evaluate the performance of Japanese text creation using our new input system. This study reports that using our new input system improves the speed of text input. In addition, we demonstrate a comparison of the various related eye-gaze input systems.
      PubDate: 2018-12-18
      DOI: 10.1007/s10015-018-0517-z
  • Modeling and simulation of Japanese inter-firm network
    • Authors: Jun’ichi Ozaki; Koutarou Tamura; Hideki Takayasu; Misako Takayasu
      Abstract: A modeled Japanese inter-firm trading network is simulated to investigate phase transition structure in money transport. First, the network structure is calculated as a steady state in a stochastic process. Second, the money transport between the firms is estimated in terms of the gravity interaction model. A linear stability analysis is performed to detect the phase transition in the transport. Some of the phase transitions are accompanied by the significant changes in the sales of the several top firms.
      PubDate: 2018-12-14
      DOI: 10.1007/s10015-018-0508-0
  • 3D measurement of a moving target using multiple slits with a random-dot
    • Authors: Kumiko Yoshida; Kikuhito Kawasue
      Abstract: A measurement system for moving objects using a multiple-slit projection method with random dots is introduced. In measuring moving objects, proper detection of moving objects from a single image is required considering the unique image of the slits with random dots pattern. A robust technique to extract a moving object from an image is introduced in the present paper to reduce the inappropriate influence of random dots. Generally, the cumbersome calibration required must be performed manually using a scale. Therefore, in the present paper, a semi-automatic calibration method is introduced. Using this technique, the calibration process is greatly simplified without reducing the accuracy.
      PubDate: 2018-12-11
      DOI: 10.1007/s10015-018-0514-2
  • Affective computing to help recognizing mistaken pedal-pressing during
           accidental braking
    • Authors: Rahadian Yusuf; Ivan Tanev; Katsunori Shimohara
      Abstract: Affective computing has been used to improve computer usability and user interface, by considering user’s emotion. One aspect of affective computing is emotion recognition. There have been many researches regarding emotion recognition, yet there is still room for exploration in applying affective computing into a driver assistance system. On driving assistance, one aspect is about emergency braking. Several researches have been analyzing emergency braking and proposed approaches to detect them. A more focused but significant (especially for elderly and beginner driver) case is mistakenly pressing accelerator instead of brake pedal during emergency braking, which often leads to accidents. This paper investigates researches on affective computing, affective sensors, emergency braking, and mistaken pedal pressing. It is also investigating on a possible approach to realize the objective of improving the existing driving assistance system using affective computing, on the case of mistaken pedal-pressing during emergency braking. For preliminary experiment, driving simulator’s brake pedal is manipulated to act as accelerator pedal during emergency braking, while observing driver’s change of expression, and measuring time approximation.
      PubDate: 2018-12-06
      DOI: 10.1007/s10015-018-0515-1
  • Correction to: Dynamically evolving algorithm for minimizing the energy
           consumption of a manipulator
    • Authors: Yoshio Yokose
      Abstract: In the original publication of the article, the article title was incorrectly published as “Dynamically evolutional algorithm for minimization of the consumption energy of a manipulator”.
      PubDate: 2018-12-05
      DOI: 10.1007/s10015-018-0513-3
  • Proposal of an ultrasonic sensor array with flexible and scalable
    • Authors: Yuichi Morita; Sota Kono; Akira Yamawaki
      Abstract: In measuring on ultrasonic sensor array, measured objects have different shapes and sizes. Therefore, we have to move sensor array mechanically according to the shape and size of the measured objects. This problem would cause to need much time for measuring. To solve this problem, we propose the organizing method of the ultrasonic sensor array, whose sensors can be flexibility and scalability applied to arbitrary objects with different shapes and sizes, respectively. In this proposed structure, several ultrasonic sensors compose a module. The modules are connected by serial communication with flexible connectors and can be bending. In this paper, we develop a test bed hardware of the single module and verify the operation.
      PubDate: 2018-12-05
      DOI: 10.1007/s10015-018-0511-5
  • A method of character input for the user interface with a low degree of
    • Authors: Shogo Matsuno; Susumu Chida; Naoaki Itakura; Tota Mizuno; Kazuyuki Mito
      Abstract: In recent times, smart devices equipped with small touch panels have become very popular. Many such smart devices use a software keyboard for character input. Unfortunately, software keyboards have a limitation: the number of buttons and the input degrees of freedom remain the same, because a button and an input value correspond one-to-one. Thus, if we reduce the screen size while the button size remains the same, the number of buttons must decrease. Alternatively, if we maintain the number of buttons and reduce the screen size, the size of the button decreases, making input increasingly difficult. In this study, we investigate a new character input method that is specifically adapted for use on small screens. The proposed input interface has 4 × 2 operational degrees of freedom and consists of four buttons and two actions. By handling two operations as one input, 64 input options are secured. Additionally, we experimentally evaluate the proposed character input user interface deployed on a smart device. The proposed method enables an input of approximately 25 characters per minute, and it shows robust input performance on a small screen compared to previous software methods. Thus, the proposed method is better suited to small screens than were previous methods.
      PubDate: 2018-12-04
      DOI: 10.1007/s10015-018-0512-4
  • The degree of robustness based on hierarchical DEA
    • Authors: Kazushige Inoue; Shingo Aoki
      Abstract: Data envelopment analysis (DEA) is a method that is used to evaluate the efficiency values of decision-making units (DMUs), and several methods to evaluate the robustness of efficiency against the changes in specific input or output items has been developed. Although, it is difficult to figure out how robust efficiency values of DMUs are quantitatively considering all input and output items. To overcome this problem, we propose a degree of robustness, τ, based on a hierarchical DEA model. The proposed degree is formulated based on the efficiency value of each combination of input and output items, the number of input and output items of each combination, and parameter p. This parameter p represents the degree of importance on non-characteristic nodes relative to that of the characteristic nodes. The robustness of efficiency considering all input and output items can be evaluated by the proposed degree.
      PubDate: 2018-12-03
      DOI: 10.1007/s10015-018-0505-3
  • Casualty-based cooperation in swarm robots
    • Authors: Ken Sugawara; Yohei Doi; Miki Shishido
      Abstract: This paper presents a cooperation of swarm robots based on casualty. The robots are initially placed in a field with a ditch which single robot cannot get across. All robots aim for a common destination. An algorithm for each robot is so simple that some of them are pushed out towards the ditch. The sacrificed robots are left as a part of a bridge. Completed bridge enables the rest to go across the ditch. This phenomenon is considered as an unintentional cooperation. We first show fundamental characteristics of this system investigated by computer simulation. Making mathematical model, we analyze the results obtained by the simulation. We also make small scale robot team and confirm their behavior by experiment.
      PubDate: 2018-10-08
      DOI: 10.1007/s10015-018-0501-7
  • Transportation simulator for disaster circumstance and bottleneck analysis
    • Authors: Takahiro Majima; Keiki Takadama; Daisuke Watanabe; Taro Aratani; Keiji Sato
      Abstract: In recent years, massive earthquakes struck Japan, causing large-scale disasters such as the great Hanshin-Awaji earthquake in 1997, the Niigata Prefecture Chuetsu earthquake in 2004, the great east Japan earthquake in 2011, and the Kumamoto earthquake in 2016. In the all disasters above, logistics system for relief supplies collapsed and it was repeated that the relief supplies were not delivered properly to the evacuation refugees. The cause of repetition of this situation is the lack of knowledge to estimate the capability of the logistics system in the disaster response plan, which may constitute a part of disaster prevention plan. In this paper, two analysis tools are introduced. One is a simulator based on the multi-agent system, in which the vehicles, e.g., trucks, ships, aircrafts, as agents determine their delivery destination corresponding to sufficiency ratios of the relief supplies of respective evacuation centers. The other is an analytical solution to estimate transportation capability.
      PubDate: 2018-10-03
      DOI: 10.1007/s10015-018-0493-3
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