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Publisher: Springer-Verlag (Total: 2355 journals)

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Showing 1 - 200 of 2355 Journals sorted alphabetically
3D Research     Hybrid Journal   (Followers: 19, SJR: 0.214, h-index: 10)
4OR: A Quarterly J. of Operations Research     Hybrid Journal   (Followers: 10, SJR: 1.073, h-index: 25)
AAPS J.     Hybrid Journal   (Followers: 21, SJR: 1.192, h-index: 74)
AAPS PharmSciTech     Hybrid Journal   (Followers: 6, SJR: 0.718, h-index: 54)
Abdominal Imaging     Hybrid Journal   (Followers: 14, SJR: 0.723, h-index: 60)
Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg     Hybrid Journal   (Followers: 3, SJR: 0.447, h-index: 12)
Academic Psychiatry     Full-text available via subscription   (Followers: 23, SJR: 0.492, h-index: 32)
Academic Questions     Hybrid Journal   (Followers: 8, SJR: 0.135, h-index: 6)
Accreditation and Quality Assurance: J. for Quality, Comparability and Reliability in Chemical Measurement     Hybrid Journal   (Followers: 26, SJR: 0.378, h-index: 30)
Acoustical Physics     Hybrid Journal   (Followers: 11, SJR: 0.355, h-index: 20)
Acoustics Australia     Hybrid Journal  
Acta Analytica     Hybrid Journal   (Followers: 7, SJR: 0.387, h-index: 6)
Acta Applicandae Mathematicae     Hybrid Journal   (Followers: 1, SJR: 0.624, h-index: 34)
Acta Biotheoretica     Hybrid Journal   (Followers: 5, SJR: 0.419, h-index: 25)
Acta Diabetologica     Hybrid Journal   (Followers: 13, SJR: 1.318, h-index: 46)
Acta Endoscopica     Hybrid Journal   (Followers: 1, SJR: 0.113, h-index: 8)
acta ethologica     Hybrid Journal   (Followers: 4, SJR: 0.465, h-index: 23)
Acta Geochimica     Hybrid Journal   (Followers: 6)
Acta Geodaetica et Geophysica     Hybrid Journal   (Followers: 2, SJR: 0.294, h-index: 13)
Acta Geotechnica     Hybrid Journal   (Followers: 7, SJR: 1.818, h-index: 22)
Acta Informatica     Hybrid Journal   (Followers: 5, SJR: 0.524, h-index: 32)
Acta Mathematica     Hybrid Journal   (Followers: 11, SJR: 8.021, h-index: 47)
Acta Mathematica Hungarica     Hybrid Journal   (Followers: 2, SJR: 0.53, h-index: 29)
Acta Mathematica Sinica, English Series     Hybrid Journal   (Followers: 6, SJR: 0.406, h-index: 30)
Acta Mathematica Vietnamica     Hybrid Journal   (SJR: 0.451, h-index: 5)
Acta Mathematicae Applicatae Sinica, English Series     Hybrid Journal   (SJR: 0.22, h-index: 20)
Acta Mechanica     Hybrid Journal   (Followers: 20, SJR: 0.898, h-index: 52)
Acta Mechanica Sinica     Hybrid Journal   (Followers: 5, SJR: 0.426, h-index: 29)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 5, SJR: 0.525, h-index: 18)
Acta Meteorologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.524, h-index: 14)
Acta Neurochirurgica     Hybrid Journal   (Followers: 6, SJR: 0.833, h-index: 73)
Acta Neurologica Belgica     Hybrid Journal   (Followers: 1, SJR: 0.348, h-index: 27)
Acta Neuropathologica     Hybrid Journal   (Followers: 5, SJR: 6.61, h-index: 117)
Acta Oceanologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.295, h-index: 17)
Acta Parasitologica     Hybrid Journal   (Followers: 9, SJR: 0.581, h-index: 28)
Acta Physiologiae Plantarum     Hybrid Journal   (Followers: 2, SJR: 0.551, h-index: 39)
Acta Politica     Hybrid Journal   (Followers: 13, SJR: 0.658, h-index: 20)
Activitas Nervosa Superior     Hybrid Journal  
adhäsion KLEBEN & DICHTEN     Hybrid Journal   (Followers: 5, SJR: 0.103, h-index: 4)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 22, SJR: 0.871, h-index: 15)
Adhesion Adhesives & Sealants     Hybrid Journal   (Followers: 8)
Administration and Policy in Mental Health and Mental Health Services Research     Partially Free   (Followers: 15, SJR: 0.795, h-index: 40)
Adsorption     Hybrid Journal   (Followers: 4, SJR: 0.774, h-index: 52)
Advances in Applied Clifford Algebras     Hybrid Journal   (Followers: 3, SJR: 0.319, h-index: 15)
Advances in Atmospheric Sciences     Hybrid Journal   (Followers: 34, SJR: 0.959, h-index: 44)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 15, SJR: 1.255, h-index: 44)
Advances in Contraception     Hybrid Journal   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52, SJR: 1.113, h-index: 14)
Advances in Gerontology     Partially Free   (Followers: 8, SJR: 0.141, h-index: 3)
Advances in Health Sciences Education     Hybrid Journal   (Followers: 25, SJR: 1.397, h-index: 42)
Advances in Manufacturing     Hybrid Journal   (Followers: 3, SJR: 0.2, h-index: 4)
Advances in Polymer Science     Hybrid Journal   (Followers: 41, SJR: 0.637, h-index: 89)
Advances in Therapy     Hybrid Journal   (Followers: 5, SJR: 0.79, h-index: 44)
Aegean Review of the Law of the Sea and Maritime Law     Hybrid Journal   (Followers: 7)
Aequationes Mathematicae     Hybrid Journal   (Followers: 2, SJR: 0.882, h-index: 23)
Aerobiologia     Hybrid Journal   (Followers: 2, SJR: 0.511, h-index: 36)
Aesthetic Plastic Surgery     Hybrid Journal   (Followers: 9, SJR: 0.821, h-index: 49)
African Archaeological Review     Hybrid Journal   (Followers: 16, SJR: 0.612, h-index: 24)
Afrika Matematika     Hybrid Journal   (Followers: 1, SJR: 0.248, h-index: 6)
AGE     Hybrid Journal   (Followers: 7, SJR: 1.358, h-index: 33)
Ageing Intl.     Hybrid Journal   (Followers: 7, SJR: 0.337, h-index: 10)
Aggiornamenti CIO     Hybrid Journal   (Followers: 1)
Aging Clinical and Experimental Research     Hybrid Journal   (Followers: 3, SJR: 0.529, h-index: 55)
Agricultural Research     Hybrid Journal   (Followers: 3)
Agriculture and Human Values     Hybrid Journal   (Followers: 13, SJR: 1.197, h-index: 49)
Agroforestry Systems     Hybrid Journal   (Followers: 19, SJR: 0.64, h-index: 56)
Agronomy for Sustainable Development     Hybrid Journal   (Followers: 10, SJR: 1.732, h-index: 59)
AI & Society     Hybrid Journal   (Followers: 6, SJR: 0.171, h-index: 19)
AIDS and Behavior     Hybrid Journal   (Followers: 13, SJR: 2.006, h-index: 71)
Air Quality, Atmosphere & Health     Hybrid Journal   (Followers: 4, SJR: 0.706, h-index: 19)
Akupunktur & Aurikulomedizin     Full-text available via subscription   (Followers: 1)
Algebra and Logic     Hybrid Journal   (Followers: 4, SJR: 0.566, h-index: 18)
Algebra Universalis     Hybrid Journal   (Followers: 2, SJR: 0.388, h-index: 22)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1, SJR: 0.868, h-index: 20)
Algorithmica     Hybrid Journal   (Followers: 8, SJR: 0.898, h-index: 56)
Allergo J.     Full-text available via subscription   (Followers: 1, SJR: 0.183, h-index: 20)
Allergo J. Intl.     Hybrid Journal   (Followers: 2)
Alpine Botany     Hybrid Journal   (Followers: 5, SJR: 0.729, h-index: 20)
ALTEX : Alternatives to Animal Experimentation     Open Access   (Followers: 3, SJR: 1.392, h-index: 32)
AMBIO     Hybrid Journal   (Followers: 15, SJR: 1.094, h-index: 87)
American J. of Cardiovascular Drugs     Hybrid Journal   (Followers: 15, SJR: 0.864, h-index: 39)
American J. of Community Psychology     Hybrid Journal   (Followers: 25, SJR: 1.237, h-index: 83)
American J. of Criminal Justice     Hybrid Journal   (Followers: 8, SJR: 0.634, h-index: 13)
American J. of Cultural Sociology     Hybrid Journal   (Followers: 14, SJR: 0.283, h-index: 3)
American J. of Dance Therapy     Hybrid Journal   (Followers: 4, SJR: 0.175, h-index: 13)
American J. of Potato Research     Hybrid Journal   (Followers: 2, SJR: 0.558, h-index: 35)
American J. of Psychoanalysis     Hybrid Journal   (Followers: 22, SJR: 0.293, h-index: 13)
American Sociologist     Hybrid Journal   (Followers: 14, SJR: 0.18, h-index: 13)
Amino Acids     Hybrid Journal   (Followers: 8, SJR: 1.362, h-index: 83)
AMS Review     Partially Free   (Followers: 4)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7, SJR: 0.21, h-index: 37)
Analysis and Mathematical Physics     Hybrid Journal   (Followers: 3, SJR: 0.665, h-index: 7)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Analysis of Verbal Behavior     Hybrid Journal   (Followers: 5)
Analytical and Bioanalytical Chemistry     Hybrid Journal   (Followers: 30, SJR: 1.096, h-index: 123)
Anatomical Science Intl.     Hybrid Journal   (Followers: 2, SJR: 0.301, h-index: 26)
Angewandte Schmerztherapie und Palliativmedizin     Hybrid Journal  
Angiogenesis     Hybrid Journal   (Followers: 3, SJR: 2.212, h-index: 69)
Animal Cognition     Hybrid Journal   (Followers: 16, SJR: 1.122, h-index: 55)
Annales françaises de médecine d'urgence     Hybrid Journal   (Followers: 1, SJR: 0.156, h-index: 4)
Annales Henri Poincaré     Hybrid Journal   (Followers: 3, SJR: 1.377, h-index: 32)
Annales mathématiques du Québec     Hybrid Journal   (Followers: 4)
Annali dell'Universita di Ferrara     Hybrid Journal   (SJR: 0.504, h-index: 14)
Annali di Matematica Pura ed Applicata     Hybrid Journal   (Followers: 1, SJR: 1.167, h-index: 26)
Annals of Behavioral Medicine     Hybrid Journal   (Followers: 12, SJR: 2.112, h-index: 98)
Annals of Biomedical Engineering     Hybrid Journal   (Followers: 18, SJR: 1.182, h-index: 94)
Annals of Combinatorics     Hybrid Journal   (Followers: 3, SJR: 0.849, h-index: 15)
Annals of Data Science     Hybrid Journal   (Followers: 11)
Annals of Dyslexia     Hybrid Journal   (Followers: 10, SJR: 0.857, h-index: 40)
Annals of Finance     Hybrid Journal   (Followers: 28, SJR: 0.686, h-index: 14)
Annals of Forest Science     Hybrid Journal   (Followers: 6, SJR: 0.929, h-index: 57)
Annals of Global Analysis and Geometry     Hybrid Journal   (Followers: 1, SJR: 1.136, h-index: 23)
Annals of Hematology     Hybrid Journal   (Followers: 15, SJR: 1.117, h-index: 62)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 8, SJR: 0.593, h-index: 42)
Annals of Microbiology     Hybrid Journal   (Followers: 10, SJR: 0.402, h-index: 26)
Annals of Nuclear Medicine     Hybrid Journal   (Followers: 5, SJR: 0.68, h-index: 45)
Annals of Operations Research     Hybrid Journal   (Followers: 10, SJR: 1.186, h-index: 78)
Annals of Ophthalmology     Hybrid Journal   (Followers: 12)
Annals of Regional Science     Hybrid Journal   (Followers: 8, SJR: 0.405, h-index: 42)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annals of Solid and Structural Mechanics     Hybrid Journal   (Followers: 10, SJR: 0.553, h-index: 8)
Annals of Surgical Oncology     Hybrid Journal   (Followers: 14, SJR: 1.902, h-index: 127)
Annals of Telecommunications     Hybrid Journal   (Followers: 7, SJR: 0.315, h-index: 25)
Annals of the Institute of Statistical Mathematics     Hybrid Journal   (Followers: 1, SJR: 0.931, h-index: 31)
Antonie van Leeuwenhoek     Hybrid Journal   (Followers: 5, SJR: 0.992, h-index: 87)
Apidologie     Hybrid Journal   (Followers: 4, SJR: 1.14, h-index: 57)
APOPTOSIS     Hybrid Journal   (Followers: 8, SJR: 1.554, h-index: 87)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2, SJR: 0.354, h-index: 27)
Applications of Mathematics     Hybrid Journal   (Followers: 1, SJR: 0.274, h-index: 20)
Applied Biochemistry and Biotechnology     Hybrid Journal   (Followers: 42, SJR: 0.575, h-index: 80)
Applied Biochemistry and Microbiology     Hybrid Journal   (Followers: 16, SJR: 0.267, h-index: 26)
Applied Cancer Research     Open Access  
Applied Categorical Structures     Hybrid Journal   (Followers: 2, SJR: 0.361, h-index: 21)
Applied Composite Materials     Hybrid Journal   (Followers: 48, SJR: 0.705, h-index: 35)
Applied Entomology and Zoology     Partially Free   (Followers: 3, SJR: 0.554, h-index: 34)
Applied Geomatics     Hybrid Journal   (Followers: 4, SJR: 0.323, h-index: 9)
Applied Geophysics     Hybrid Journal   (Followers: 8, SJR: 0.541, h-index: 13)
Applied Intelligence     Hybrid Journal   (Followers: 11, SJR: 0.777, h-index: 43)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 4, SJR: 0.358, h-index: 34)
Applied Mathematics & Optimization     Hybrid Journal   (Followers: 4, SJR: 0.955, h-index: 33)
Applied Mathematics - A J. of Chinese Universities     Hybrid Journal   (SJR: 0.275, h-index: 8)
Applied Mathematics and Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.37, h-index: 26)
Applied Microbiology and Biotechnology     Hybrid Journal   (Followers: 61, SJR: 1.262, h-index: 161)
Applied Physics A     Hybrid Journal   (Followers: 7, SJR: 0.535, h-index: 121)
Applied Physics B: Lasers and Optics     Hybrid Journal   (Followers: 23, SJR: 0.983, h-index: 104)
Applied Psychophysiology and Biofeedback     Hybrid Journal   (Followers: 8, SJR: 0.677, h-index: 47)
Applied Research in Quality of Life     Hybrid Journal   (Followers: 11, SJR: 0.288, h-index: 15)
Applied Solar Energy     Hybrid Journal   (Followers: 17, SJR: 0.251, h-index: 6)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5, SJR: 0.351, h-index: 9)
Aquaculture Intl.     Hybrid Journal   (Followers: 22, SJR: 0.613, h-index: 40)
Aquarium Sciences and Conservation     Hybrid Journal   (Followers: 1)
Aquatic Ecology     Hybrid Journal   (Followers: 32, SJR: 0.646, h-index: 44)
Aquatic Geochemistry     Hybrid Journal   (Followers: 4, SJR: 0.764, h-index: 39)
Aquatic Sciences     Hybrid Journal   (Followers: 13, SJR: 1.172, h-index: 53)
Arabian J. for Science and Engineering     Hybrid Journal   (Followers: 5, SJR: 0.345, h-index: 20)
Arabian J. of Geosciences     Hybrid Journal   (Followers: 1, SJR: 0.417, h-index: 16)
Archaeological and Anthropological Sciences     Hybrid Journal   (Followers: 23, SJR: 1.056, h-index: 15)
Archaeologies     Hybrid Journal   (Followers: 12, SJR: 0.397, h-index: 13)
Archiv der Mathematik     Hybrid Journal   (Followers: 1, SJR: 0.597, h-index: 29)
Archival Science     Hybrid Journal   (Followers: 56, SJR: 0.804, h-index: 22)
Archive for History of Exact Sciences     Hybrid Journal   (Followers: 8, SJR: 0.28, h-index: 15)
Archive for Mathematical Logic     Hybrid Journal   (Followers: 1, SJR: 0.946, h-index: 23)
Archive for Rational Mechanics and Analysis     Hybrid Journal   (SJR: 4.091, h-index: 66)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.865, h-index: 40)
Archives and Museum Informatics     Hybrid Journal   (Followers: 132)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4, SJR: 2.841, h-index: 40)
Archives of Dermatological Research     Hybrid Journal   (Followers: 7, SJR: 0.9, h-index: 65)
Archives of Environmental Contamination and Toxicology     Hybrid Journal   (Followers: 12, SJR: 0.846, h-index: 84)
Archives of Gynecology and Obstetrics     Hybrid Journal   (Followers: 17, SJR: 0.695, h-index: 47)
Archives of Microbiology     Hybrid Journal   (Followers: 8, SJR: 0.702, h-index: 85)
Archives of Orthopaedic and Trauma Surgery     Hybrid Journal   (Followers: 8, SJR: 1.039, h-index: 56)
Archives of Osteoporosis     Hybrid Journal   (Followers: 2, SJR: 1.092, h-index: 13)
Archives of Sexual Behavior     Hybrid Journal   (Followers: 10, SJR: 1.198, h-index: 74)
Archives of Toxicology     Hybrid Journal   (Followers: 17, SJR: 1.595, h-index: 76)
Archives of Virology     Hybrid Journal   (Followers: 5, SJR: 1.086, h-index: 90)
Archives of Women's Mental Health     Hybrid Journal   (Followers: 14, SJR: 1.264, h-index: 50)
Archivio di Ortopedia e Reumatologia     Hybrid Journal  
Archivum Immunologiae et Therapiae Experimentalis     Hybrid Journal   (Followers: 2, SJR: 1.2, h-index: 42)
ArgoSpine News & J.     Hybrid Journal   (SJR: 0.102, h-index: 3)
Argumentation     Hybrid Journal   (Followers: 5, SJR: 0.295, h-index: 18)
Arid Ecosystems     Hybrid Journal   (Followers: 3)
Arkiv för Matematik     Hybrid Journal   (Followers: 1, SJR: 0.948, h-index: 22)
Arnold Mathematical J.     Hybrid Journal   (Followers: 1)
Arthropod-Plant Interactions     Hybrid Journal   (Followers: 2, SJR: 0.797, h-index: 17)
Arthroskopie     Hybrid Journal   (Followers: 1, SJR: 0.145, h-index: 8)
Artificial Intelligence and Law     Hybrid Journal   (Followers: 11, SJR: 0.288, h-index: 25)
Artificial Intelligence Review     Hybrid Journal   (Followers: 14, SJR: 0.948, h-index: 48)
Artificial Life and Robotics     Hybrid Journal   (Followers: 8, SJR: 0.231, h-index: 14)
Asia Europe J.     Hybrid Journal   (Followers: 5, SJR: 0.247, h-index: 9)
Asia Pacific Education Review     Hybrid Journal   (Followers: 12, SJR: 0.371, h-index: 17)
Asia Pacific J. of Management     Hybrid Journal   (Followers: 16, SJR: 1.676, h-index: 50)
Asia-Pacific Education Researcher     Hybrid Journal   (Followers: 12, SJR: 0.353, h-index: 13)
Asia-Pacific Financial Markets     Hybrid Journal   (Followers: 2, SJR: 0.19, h-index: 15)
Asia-Pacific J. of Atmospheric Sciences     Hybrid Journal   (Followers: 20, SJR: 1.006, h-index: 14)
Asian Business & Management     Hybrid Journal   (Followers: 8, SJR: 0.41, h-index: 10)
Asian J. of Business Ethics     Hybrid Journal   (Followers: 7)
Asian J. of Criminology     Hybrid Journal   (Followers: 5, SJR: 0.263, h-index: 8)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2, SJR: 0.681, h-index: 15)
AStA Wirtschafts- und Sozialstatistisches Archiv     Hybrid Journal   (Followers: 5, SJR: 0.195, h-index: 5)
ästhetische dermatologie & kosmetologie     Full-text available via subscription  

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Journal Cover Artificial Life and Robotics
  [SJR: 0.231]   [H-I: 14]   [8 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1614-7456 - ISSN (Online) 1433-5298
   Published by Springer-Verlag Homepage  [2355 journals]
  • Development of an altitude-keeping system for underwater robots using
           laser beams
    • Authors: Fumiaki Takemura; Ryo Taba; Keita Hirayama; Suriyon Tansuriyavong; Kuniaki Kawabata; Shinichi Sagara; Kei Ogasawara
      Pages: 405 - 411
      Abstract: Abstract Distribution map of the degree of coral has been developing by Manta method to use coral conservation activities. The manta method is a survey method that divers investigate the degree of coral and whitening states while being towed to a boat. The manta method makes great physical burden. Therefore, the authors think that this task can substitute an underwater robot. This underwater robot is desirable to be able to keep altitude above the seabed. Hence, the authors have been developing the altitude (its distance above the sea floor) keeping system for an underwater robot. Visual recognition of distant underwater objects is possible in the water with high transparency, for example, in the coastal sea area of Okinawa Prefecture, Japan. Therefore, the authors have been adopting the image-processing-based distance measurement method using the two laser beams and a monocular camera. It realizes to keep altitude of an underwater robot using such devices. The evaluation experiments of the altitude-keeping system are carried out in the pool.
      PubDate: 2017-12-01
      DOI: 10.1007/s10015-017-0377-y
      Issue No: Vol. 22, No. 4 (2017)
  • The application of multi-body simulation approach in the kinematic
           analysis of beetle leg joints
    • Authors: Steffen Vagts; Josef Schlattmann; Philipp Busshardt; Thomas Kleinteich; Stanislav N. Gorb
      Pages: 412 - 420
      Abstract: Abstract Locomotion of insects is exceptionally efficient and this efficiency is partially due to the kinematics within leg joints, which in different movement scenarios depends on their inner contacting conditions. The investigation of functionality of the leg joints can potentially provide new innovative problem solutions in robotics. The previously published information about the shape of the joints is not sufficient, because without knowledge about the movements of the articulating surfaces within the joint, the kinematics cannot be understood. To understand the joint movements, we have performed motion tracking experiments in the beetle Pachnoda marginata (Scarabaeidae, Cetoniinae) in different locomotory scenarios. We aimed at understanding the range of motion within single leg joints depending on their function in the entire leg movement scenario. For this purpose, we combined the motion analysis of living beetles with the results of the simulation of a multi-body system. The results of the multi-body simulation allowed the kinematic characterization of articulating joints by their degrees of freedom and the identification of the rotation axes. The simulated range of motion predicted by the limitations of the exoskeleton of the joints partially matched those obtained from the motion analysis of the living beetle. We showed that the range of motion of the single leg joints depends strongly on the type of the beetle locomotory scenario. It is also concluded that the simulation of multi-body systems is a powerful tool for the kinematic analysis of insect tribological systems.
      PubDate: 2017-12-01
      DOI: 10.1007/s10015-017-0386-x
      Issue No: Vol. 22, No. 4 (2017)
  • Markov chain analysis of Leading Ones problem
    • Authors: Yifei Du; Kenji Aoki; Makoto Sakamoto; Hiroshi Furutani; Kunihito Yamamori
      Pages: 443 - 448
      Abstract: Abstract Evolutionary algorithms (EAs) are randomized optimization search techniques, and the theoretical study of the first hitting time is very important in the practical applications of EA. We investigate the first hitting time of Leading Ones (LO) problem theoretically on Random Local Search (RLS) algorithm and (1 + 1)EA by absorbing Markov chain. This paper reports the calculation method of the first hitting time on LO problem with (1 + 1)EA and RLS. We found that the results only depend on the length of string, and the hitting times can be given approximately by the quadratic function. In the numerical experiments, we showed the agreement between the results of the practical calculation and the theoretical results. Our results give the good example to predict the running time of the practical EA calculations by Markov chain method.
      PubDate: 2017-12-01
      DOI: 10.1007/s10015-017-0381-2
      Issue No: Vol. 22, No. 4 (2017)
  • Prognostic medication: for predicting premonition and recovery
    • Authors: Remi Konagaya; Ken Naitoh; Keisuke Suzuki; Hiroshi Takashima
      Pages: 449 - 456
      Abstract: Abstract A nonlinear ordinary differential equation model of time-dependent features of six macroscopic molecular groups on information and function interacting in living beings (Naitoh in Jpn J Ind Appl Math 28:15–26, 2011; Naitoh and Inoue in J Artif Life Robot 18:127–132, 2013) brings a possibility for predicting the morphogenetic process and sustainment of human beings. In this report, along with the number theory, we derive mathematical conditions for predicting the premonition just before sickness, which are logically derived from the differential equation model, and also agree with computational results of death and apparent death obtained by numerically solving the equation model. The mathematical conditions derived agree with an important knowledge revealed by Chen (Proceedings of the international symposium on artificial life and robotics (AROB20th), Beppu, Oita Japan, pp 127–132, 2015), i.e., a critical condition on densities of healthy molecules just before sickness. This agreement is an evidence for significance of our nonlinear equation model and the linear analysis done by Chen et al. Furthermore, we also derive a two-step mathematical condition for classifying death and apparent death. These conditions lead to a method for acquiring premonition of illness and a method for recovering from illness. Finally, we show a possibility that this equation model, extended with random noise from environmental disturbance, may predict life pattern concerning periods of sickness, while also considering polymorphism.
      PubDate: 2017-12-01
      DOI: 10.1007/s10015-017-0375-0
      Issue No: Vol. 22, No. 4 (2017)
  • A study on the vibration suppression of the manipulator with flexible
    • Authors: Osamu Sato; Asaji Sato; Toshiki Yagi; Nobuya Takahashi; Masahiro Yokomichi
      Pages: 471 - 476
      Abstract: Abstract For the rapid motion and the saving energy of transport by the manipulator, it requires a study for lighter mechanisms such as flexible link. In this report, a flexible link is modeled with rigid body connected by three springs. And, the equations of motion of manipulator driven by two motors are derived in consideration of the deflection of flexible element and the characteristics of driving source. For the case to transport the object from the initial position to the desired position by the manipulator, the energy-saving trajectory influenced by vibration is calculated by the iterative dynamic programming method, and the effectiveness of the control method is evaluated by the numerical simulation. Furthermore, the effectiveness of the numerical simulation is confirmed by the experiment of a flexible link which is driven by a single motor with energy-saving trajectory.
      PubDate: 2017-12-01
      DOI: 10.1007/s10015-017-0376-z
      Issue No: Vol. 22, No. 4 (2017)
  • Teleoperation system for a mobile robot with visual servo mechanism based
           on automatic template generation
    • Authors: Yoshitaka Matsuda; Takenao Sugi; Satoru Goto; Naruto Egashira
      Pages: 490 - 496
      Abstract: Abstract In this paper, a teleoperation system for a mobile robot with visual servo mechanism is developed. The teleoperation system has two kinds of motions: rough motion and accurate motion. In the rough motion, the mobile robot is controlled manually. In the accurate motion, it is done autonomously by visual servoing, where the template matching technique is used to realize the visual servoing. The template image is automatically generated by only assigning one pixel of the target object. The usefulness of the developed teleoperation system is evaluated by experimental result for the automatic template generation and the teleoperation.
      PubDate: 2017-12-01
      DOI: 10.1007/s10015-017-0374-1
      Issue No: Vol. 22, No. 4 (2017)
  • Effect of the cervical structure on the operability of teleoperated
           humanoid head
    • Authors: Kenta Maeda; Yoshihiro Nakata; Yutaka Nakamura; Hiroshi Ishiguro
      Pages: 497 - 502
      Abstract: Abstract Android robots: humanoids with realistic human appearance can serve as a telecommunication medium (teleoperated humanoids). We have anticipated that if teleoperated humanoids acquired with not only their human appearances, but also an ability of to realize human-like head motions, the telecommunication and the system operability through androids would greatly improve. To realize such human-like head motions of teleoperated humanoids, we referred to the human cervical spine mechanism, and accordingly aimed to verify how the cervical structure of teleoperated humanoids would affect the operability in our remote-controlling system. First, we developed a multiple joint cervical structure for our teleoperated humanoid, and then, we evaluated of if the multiple joint cervical structure realized human-like head motions and improved its system operability through experiments from the aspects of its eyesight targeting performance and subjective impressions. Finally, we concluded that our proposed multiple joint cervical structure of the teleoperated humanoid enabled to increase the system operability in comparison with the prototype system: with either a top joint cervical structure or a bottom joint one. We anticipate that this work will contribute to the future development and implementation of telecommunication by humanoids.
      PubDate: 2017-12-01
      DOI: 10.1007/s10015-017-0387-9
      Issue No: Vol. 22, No. 4 (2017)
  • Mechanism of generating drawbar pull of rod wheel on loose soil
    • Authors: Taku Matsumoto; Yoshiaki Oyama; Jun Ogawa; Keita Nakamura; Keitaro Naruse
      Pages: 503 - 508
      Abstract: Abstract In this paper, we propose a model of drawbar pull generated by wheels fitted with a rod and assess it by comparing measured values obtained from an experiment with those from the model. In recent years, many kinds of robots for weeding in paddy fields have been developed. However, almost all of these are large and heavy. We have previously developed a small, lightweight robot for weeding. This robot is equipped with a rod wheel that has roles of weeding and running. However, this wheel was developed by experience from demonstrations and its dynamics for control remain unknown. To solve this problem, we propose a new model for drawbar pull generated by rod wheels and evaluate it by comparing experimental values with those from the model.
      PubDate: 2017-12-01
      DOI: 10.1007/s10015-017-0384-z
      Issue No: Vol. 22, No. 4 (2017)
  • Deep recurrent neural network for mobile human activity recognition with
           high throughput
    • Authors: Masaya Inoue; Sozo Inoue; Takeshi Nishida
      Abstract: Abstract In this paper, we propose a method of human activity recognition with high throughput from raw accelerometer data applying a deep recurrent neural network (DRNN), and investigate various architectures and its combination to find the best parameter values. The “high throughput” refers to short time at a time of recognition. We investigated various parameters and architectures of the DRNN by using the training dataset of 432 trials with 6 activity classes from 7 people. The maximum recognition rate was 95.42% and 83.43% against the test data of 108 segmented trials each of which has single activity class and 18 multiple sequential trials, respectively. Here, the maximum recognition rates by traditional methods were 71.65% and 54.97% for each. In addition, the efficiency of the found parameters was evaluated using additional dataset. Further, as for throughput of the recognition per unit time, the constructed DRNN was requiring only 1.347 ms, while the best traditional method required 11.031 ms which includes 11.027 ms for feature calculation. These advantages are caused by the compact and small architecture of the constructed real time oriented DRNN.
      PubDate: 2017-12-30
      DOI: 10.1007/s10015-017-0422-x
  • A real-time recommendation engine using lambda architecture
    • Authors: Thanisa Numnonda
      Abstract: Abstract In a data science theory, the recommended methodology is one of the most popular theories and has been deployed in many real industries. However, one of the most challenging problems these days is how to recommend items with massively streaming data. Therefore, this paper aims to do a real-time recommendation engine using the Lambda architecture. The Apache Hadoop and Apache Spark frameworks were used in this research to process the MovieLens dataset comprised 100 K and 20 M ratings from the GroupLens research. Using alternating least squares (ALS) and k-means algorithms, the top K recommendation movies and the top K trending movies for each user were shown as results. Additionally, the mean squared error (MSE) and within cluster sum of squared error (WCSS) had been computed to evaluate the performance of the ALS and k-means algorithms, sequentially. The results showed that they are acceptable since the MSE and WCSS values are low when comparing to the size of data. However, they can still be improved by tuning some parameters.
      PubDate: 2017-12-29
      DOI: 10.1007/s10015-017-0424-8
  • Blind source extraction of long-term physiological signals from facial
           thermal images
    • Authors: Kosuke Oiwa; Rikito Okamoto; Shizuka Bando; Akio Nozawa
      Abstract: 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: 2017-12-28
      DOI: 10.1007/s10015-017-0423-9
  • 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
      Abstract: 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: 2017-12-22
      DOI: 10.1007/s10015-017-0420-z
  • Evolution of communication through differentiation of communicative and
           goal-directed behaviors
    • Authors: Naohiro Shibuya; Hiroyuki Iizuka; Masahito Yamamoto
      Abstract: Abstract Many studies have focused on the evolution of communication in artificial life, often presupposing dedicated communication channels such as voices or pheromones. However, it is plausible that only behavior existed when communication began and that some behaviors gradually evolved as a mean of communication. A study by Quinn has shown that communication can evolve purely through the behavior for two agents in a simulated environment. We extend this study to a more complex communication using three agents. In the simulation, the agents are equipped with two wheels and eight IR sensors and are controlled by identical neural networks. This network evolved by applying a genetic algorithm to a single population. After evolution, the agents’ behaviors had differentiated into communicative and goal-directed types. We analyze the differences between these two types of behavior quantitatively, and show that the evolved behaviors have communication properties such as mutuality, information flow, and invariance of the motion gain.
      PubDate: 2017-12-19
      DOI: 10.1007/s10015-017-0417-7
  • 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
      Abstract: 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: 2017-12-18
      DOI: 10.1007/s10015-017-0416-8
  • Spike pattern recognition using artificial neuron and
           spike-timing-dependent plasticity implemented on a multi-core embedded
    • Authors: F. Grassia; T. Levi; E. Doukkali; T. Kohno
      Abstract: Abstract The objective of this work is to use a multi-core embedded platform as computing architectures for neural applications relevant to neuromorphic engineering: e.g., robotics, and artificial and spiking neural networks. Recently, it has been shown how spike-timing-dependent plasticity (STDP) can play a key role in pattern recognition. In particular, multiple repeating arbitrary spatio-temporal spike patterns hidden in spike trains can be robustly detected and learned by multiple neurons equipped with spike-timing-dependent plasticity listening to the incoming spike trains. This paper presents an implementation on a biological time scale of STDP algorithm to localize a repeating spatio-temporal spike patterns on a multi-core embedded platform.
      PubDate: 2017-12-18
      DOI: 10.1007/s10015-017-0421-y
  • Development of entertainment balloon robot system for an indoor event
    • Authors: Hiroya Nagata; Stefan Walke; Soichiro Yokoyama; Tomohisa Yamashita; Hiroyuki Iizuka; Masahito Yamamoto; Keiji Suzuki; Hidenori Kawamura
      Abstract: 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: 2017-12-15
      DOI: 10.1007/s10015-017-0419-5
  • Modeling honeybee communication using network of spiking neural networks
           to simulate nectar reporting behavior
    • Authors: Subha Fernando; Nishantha Kumarasinghe
      Abstract: Abstract The paper presents the findings of the research that attempted to mathematically model the cognitive behavior that could arise due to the interaction between honeybees in a colony during forager recruitment process. The model defines a honeybee as a spiking neural network, and colony as a network of spiking neural networks. The proposed mathematical model has been evaluated by analyzing the cognitive behavior generated by the main network which represents honeybees’ interaction as interactions of component networks (i.e. spiking neural networks). Accordingly, behavior of the component network, that represents an unemployed forager in the colony, was examined under different scenarios by setting networks’ parameters to simulate ecological situations in the colony. The reporting of different level of quantity of nectar sources by scouts to the colony, an attempt made by a scout to attract more unemployed foragers for foraging, and influence by dancing foragers to attract other unemployed foragers for foraging are those ecological colony states that have been tested in this research. The results of all these cases have supported that the proposed mathematical model can sufficiently simulate the unemployed forager’s behavior during recruitment process.
      PubDate: 2017-12-05
      DOI: 10.1007/s10015-017-0418-6
  • 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
      Abstract: 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: 2017-12-02
      DOI: 10.1007/s10015-017-0410-1
  • Non-contact measurement of eyeblink by using Doppler sensor
    • Authors: Amir Maleki; Masafumi Uchida
      Abstract: Abstract In this report, we introduce an experimental method for eyeblink measurement by utilizing Doppler effect phenomena. In the cognitive science literature, eyeblink has been proposed as a complex phenomenon and acts as a representative of higher nervous processes. We developed an experimental setup in which the measurement of the eyeblink was conducted using a Doppler sensor accompanied by an accelerometer and an EOG (electrooculography) recording. From our experimental results, we found that the Doppler frequency related to blinking contains a dominant frequency at 2 Hz. Finally, we showed that when blinking is accompanied with head and body movements, eyeblink signal is separable by deploying the principal component analysis (PCA).
      PubDate: 2017-12-02
      DOI: 10.1007/s10015-017-0414-x
  • The emergence of executive functions by the evolution of second-order
    • Authors: Keisuke Daimon; Solvi Arnold; Reiji Suzuki; Takaya Arita
      Abstract: Abstract Mental representation (MR) is regarded as part of sophisticated cognitive processes. It has been argued that under selection pressure for second-order learning (learning how to learn), first-order learning evolves to facilitate second-order learning within lifetime by capturing inherent structures of changing environment as MR. Two hypotheses derive from this theory: (1) solving MR-dependent tasks should involve second-order plasticity at the neural level. (2) Solving MR-dependent tasks should involve internalization of structural features of environment into corresponding features of the cognitive system. In this paper, constructive approach was taken and the result was analyzed from the viewpoint of these two hypotheses. Executive functions, a collection of cognitive processes necessary for good performance on complex tasks, are the theme of our model. They are considered to be related to theory of mind, which is a typical example of MR. We conducted an evolutionary simulation where agents with recurrent neural networks tackled the Wisconsin card sorting test (WCST), a widely used task to measure abilities of executive functions. The results showed some agents were successfully able to achieve ideal scores in the WCST, hence the emergence of executive functions. In addition, we also discussed the hypotheses based on one of the evolved neural networks.
      PubDate: 2017-09-14
      DOI: 10.1007/s10015-017-0389-7
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