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  Subjects -> ENGINEERING (Total: 1963 journals)
    - CHEMICAL ENGINEERING (151 journals)
    - CIVIL ENGINEERING (149 journals)
    - ELECTRICAL ENGINEERING (82 journals)
    - ENGINEERING (1120 journals)
    - ENGINEERING MECHANICS AND MATERIALS (290 journals)
    - HYDRAULIC ENGINEERING (45 journals)
    - INDUSTRIAL ENGINEERING (52 journals)
    - MECHANICAL ENGINEERING (74 journals)

ENGINEERING (1120 journals)                  1 2 3 4 5 6 7 8 | Last

3 Biotech     Open Access   (Followers: 5)
3D Research     Hybrid Journal   (Followers: 16)
AAPG Bulletin     Full-text available via subscription   (Followers: 2)
AASRI Procedia     Open Access   (Followers: 5)
Abstract and Applied Analysis     Open Access  
ACS Nano     Full-text available via subscription   (Followers: 214)
Acta Geotechnica     Hybrid Journal   (Followers: 8)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 2)
Acta Polytechnica : Journal of Advanced Engineering     Open Access  
Acta Scientiarum. Technology     Open Access   (Followers: 1)
Active and Passive Electronic Components     Open Access   (Followers: 3)
Adaptive Behavior     Hybrid Journal   (Followers: 8)
Adsorption     Hybrid Journal   (Followers: 7)
Advanced Powder Technology     Hybrid Journal   (Followers: 12)
Advanced Science Letters     Full-text available via subscription   (Followers: 6)
Advanced Science, Engineering and Medicine     Partially Free   (Followers: 8)
Advanced Synthesis & Catalysis     Hybrid Journal   (Followers: 4)
Advances in Agriculture, Sciences and Engineering Research     Open Access   (Followers: 10)
Advances in Artificial Neural Systems     Open Access   (Followers: 4)
Advances in Calculus of Variations     Full-text available via subscription   (Followers: 4)
Advances in Catalysis     Full-text available via subscription   (Followers: 4)
Advances in Complex Systems     Hybrid Journal   (Followers: 8)
Advances in Engineering Software     Hybrid Journal   (Followers: 19)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 12)
Advances in Fuzzy Systems     Open Access   (Followers: 4)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 12)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 13)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 10)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 4)
Advances in Natural Sciences: Nanoscience and Nanotechnology     Open Access   (Followers: 13)
Advances in Operations Research     Open Access   (Followers: 9)
Advances in OptoElectronics     Open Access   (Followers: 3)
Advances in Physics Theories and Applications     Open Access   (Followers: 4)
Advances in Polymer Science     Hybrid Journal   (Followers: 38)
Advances in Porous Media     Full-text available via subscription   (Followers: 3)
Advances in Remote Sensing     Open Access   (Followers: 7)
Advances in Science and Research (ASR)     Open Access   (Followers: 7)
Advances in Synchrotron Radiation     Hybrid Journal   (Followers: 1)
Aerobiologia     Hybrid Journal   (Followers: 1)
African Journal of Information & Communication Technology     Open Access   (Followers: 5)
African Journal of Science, Technology, Innovation and Development     Hybrid Journal   (Followers: 4)
Afrique Science : Revue Internationale des Sciences et Technologie     Open Access  
AIChE Journal     Hybrid Journal   (Followers: 16)
Ain Shams Engineering Journal     Open Access   (Followers: 6)
Alexandria Engineering Journal     Open Access   (Followers: 1)
AMB Express     Open Access   (Followers: 1)
American Journal of Applied Sciences     Open Access   (Followers: 27)
American Journal of Engineering and Applied Sciences     Open Access   (Followers: 11)
American Journal of Engineering Education     Open Access   (Followers: 4)
American Journal of Environmental Engineering     Open Access   (Followers: 6)
American Journal of Industrial and Business Management     Open Access   (Followers: 11)
Annals of Combinatorics     Hybrid Journal   (Followers: 5)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Science     Hybrid Journal   (Followers: 5)
Antarctic Science     Hybrid Journal   (Followers: 2)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applicable Analysis: An International Journal     Hybrid Journal   (Followers: 1)
Applied Catalysis A: General     Hybrid Journal   (Followers: 5)
Applied Catalysis B: Environmental     Hybrid Journal   (Followers: 2)
Applied Clay Science     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 9)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 3)
Applied Nanoscience     Open Access   (Followers: 8)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 7)
Applied Physics Research     Open Access   (Followers: 6)
Applied Sciences     Open Access   (Followers: 2)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 2)
Arabian Journal for Science and Engineering     Hybrid Journal   (Followers: 4)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
Archives of Foundry Engineering     Open Access  
Archives of Thermodynamics     Open Access   (Followers: 3)
Arkiv för Matematik     Hybrid Journal  
ASEE Prism     Full-text available via subscription   (Followers: 1)
Asian Journal of Applied Sciences     Open Access   (Followers: 3)
Asian Journal of Biotechnology     Open Access   (Followers: 3)
Asian Journal of Control     Hybrid Journal  
Asian Journal of Current Engineering & Maths     Open Access  
Asian Journal of Technology Innovation     Hybrid Journal   (Followers: 3)
Assembly Automation     Hybrid Journal   (Followers: 1)
at - Automatisierungstechnik     Full-text available via subscription   (Followers: 1)
ATZagenda     Hybrid Journal  
ATZextra worldwide     Hybrid Journal   (Followers: 1)
Australasian Physical & Engineering Sciences in Medicine     Hybrid Journal   (Followers: 1)
Australian Journal of Multi-Disciplinary Engineering     Full-text available via subscription  
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 5)
Avances en Ciencias e Ingeniería     Open Access  
Bangladesh Journal of Scientific and Industrial Research     Open Access  
Basin Research     Hybrid Journal   (Followers: 2)
Bautechnik     Hybrid Journal   (Followers: 1)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 8)
Beni-Suef University Journal of Applied Sciences     Open Access  
Beni-Suef University Journal of Basic and Applied Sciences     Open Access   (Followers: 4)
BER : Manufacturing Survey : Full Survey     Full-text available via subscription   (Followers: 3)
BER : Motor Trade Survey     Full-text available via subscription   (Followers: 1)
BER : Retail Sector Survey     Full-text available via subscription   (Followers: 2)
BER : Retail Survey : Full Survey     Full-text available via subscription   (Followers: 2)
BER : Survey of Business Conditions in Manufacturing : An Executive Summary     Full-text available via subscription   (Followers: 4)
BER : Survey of Business Conditions in Retail : An Executive Summary     Full-text available via subscription   (Followers: 2)
Bharatiya Vaigyanik evam Audyogik Anusandhan Patrika (BVAAP)     Open Access  
Biointerphases     Open Access  

        1 2 3 4 5 6 7 8 | Last

Autonomous Mental Development, IEEE Transactions on
   [7 followers]  Follow    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
     ISSN (Print) 1943-0604
     Published by Institute of Electrical and Electronics Engineers (IEEE) Homepage  [172 journals]
  • IEEE Computational Intelligence Society Information
    • Pages: C3 - C3
      Abstract: Provides a listing of current committee members and society officers.
      PubDate: June 2014
      Issue No: Vol. 6, No. 2 (2014)
       
  • IEEE Transactions on Autonomous Mental Development information for authors
    • Pages: C4 - C4
      Abstract: Provides instructions and guidelines to prospective authors who wish to submit manuscripts.
      PubDate: June 2014
      Issue No: Vol. 6, No. 2 (2014)
       
  • Table of contents
    • Pages: C1 - C1
      Abstract: Presents the front cover/table of contents for this issue of the periodical.
      PubDate: June 2014
      Issue No: Vol. 6, No. 2 (2014)
       
  • IEEE Transactions on Autonomous Mental Development publication information
    • Pages: C2 - C2
      Abstract: Provides a listing of current staff, committee members and society officers.
      PubDate: June 2014
      Issue No: Vol. 6, No. 2 (2014)
       
  • Guest Editorial Behavior Understanding and Developmental Robotics
    • Authors: Salah; A;Oudeyer, P;Mericli, C;Ruiz-del-Solar, J;
      Pages: 77 - 79
      Abstract: The scientific, technological, and application challenges that arise from the mutual interaction of developmental robotics and computational human behavior understanding give rise to two different perspectives. Robots need to be capable to learn dynamically and incrementally how to interpret, and thus understand multimodal human behavior, which means behavior analysis can be performed for developmental robotics. On the other hand, behavior analysis can also be performed through developmental robotics, since developmental social robots can offer stimulating opportunities for improving scientific understanding of human behavior, and especially to allow a deeper analysis of the semantics and structure of human behavior. The contributions to the Special Issue explore these two perspectives.
      PubDate: June 2014
      Issue No: Vol. 6, No. 2 (2014)
       
  • Understanding Object Weight from Human and Humanoid Lifting Actions
    • Authors: Sciutti; A.;Patane, L.;Nori, F.;Sandini, G.;
      Pages: 80 - 92
      Abstract: Humans are very good at interacting with each other. This natural ability depends, among other factors, on an implicit communication mediated by motion observation. By simple action observation we can easily infer not only the goal of an agent, but often also some “hidden” properties of the object he is manipulating, as its weight or its temperature. This implicit understanding is developed early in childhood and is supposedly based on a common motor repertoire between the cooperators. In this paper, we have investigated whether and under which conditions it is possible for a humanoid robot to foster the same kind of automatic communication, focusing on the ability to provide cues about object weight with action execution. We have evaluated on which action properties weight estimation is based in humans and we have accordingly designed a set of simple robotic lifting behaviors. Our results show that subjects can reach a performance in weight recognition from robot observation comparable to that obtained during human observation, with no need of training. These findings suggest that it is possible to design robot behaviors that are implicitly understandable by nonexpert partners and that this approach could be a viable path to obtain more natural human-robot collaborations.
      PubDate: June 2014
      Issue No: Vol. 6, No. 2 (2014)
       
  • From Saccades to Grasping: A Model of Coordinated Reaching Through
           Simulated Development on a Humanoid Robot
    • Authors: Law; J.;Shaw, P.;Lee, M.;Sheldon, M.;
      Pages: 93 - 109
      Abstract: Infants demonstrate remarkable talents in learning to control their sensory and motor systems. In particular the ability to reach to objects using visual feedback requires overcoming several issues related to coordination, spatial transformations, redundancy, and complex learning spaces. This paper describes a model of longitudinal development that covers the full sequence from blind motor babbling to successful grasping of seen objects. This includes the learning of saccade control, gaze control, torso control, and visually-elicited reaching and grasping in 3-D space. This paper builds on and extends our prior investigations into the development of gaze control, eye-hand coordination, the use of constraints to shape learning, and a schema memory system for the learning of sensorimotor experience. New contributions include our application of the LWPR algorithm to learn how movements of the torso affect the robot’s representation of space, and the first use of the schema framework to enable grasping and interaction with objects. The results from our integration of these various components into an implementation of longitudinal development on an iCub robot show their ability to generate infant-like development, from a start point with zero coordination up to skilled spatial reaching in less than three hours.
      PubDate: June 2014
      Issue No: Vol. 6, No. 2 (2014)
       
  • Attentional Mechanisms for Socially Interactive Robots–A Survey
    • Authors: Ferreira; J.F.;Dias, J.;
      Pages: 110 - 125
      Abstract: This review intends to provide an overview of the state of the art in the modeling and implementation of automatic attentional mechanisms for socially interactive robots. Humans assess and exhibit intentionality by resorting to multisensory processes that are deeply rooted within low-level automatic attention-related mechanisms of the brain. For robots to engage with humans properly, they should also be equipped with similar capabilities. Joint attention, the precursor of many fundamental types of social interactions, has been an important focus of research in the past decade and a half, therefore providing the perfect backdrop for assessing the current status of state-of-the-art automatic attentional-based solutions. Consequently, we propose to review the influence of these mechanisms in the context of social interaction in cutting-edge research work on joint attention. This will be achieved by summarizing the contributions already made in these matters in robotic cognitive systems research, by identifying the main scientific issues to be addressed by these contributions and analyzing how successful they have been in this respect, and by consequently drawing conclusions that may suggest a roadmap for future successful research efforts.
      PubDate: June 2014
      Issue No: Vol. 6, No. 2 (2014)
       
  • The MEI Robot: Towards Using Motherese to Develop Multimodal Emotional
           Intelligence
    • Authors: Lim; A.;Okuno, H.G.;
      Pages: 126 - 138
      Abstract: We introduce the first steps in a developmental robot called MEI (multimodal emotional intelligence), a robot that can understand and express emotions in voice, gesture and gait using a controller trained only on voice. Whereas it is known that humans can perceive affect in voice, movement, music and even as little as point light displays, it is not clear how humans develop this skill. Is it innate' If not, how does this emotional intelligence develop in infants' The MEI robot develops these skills through vocal input and perceptual mapping of vocal features to other modalities. We base MEI’s development on the idea that motherese is used as a way to associate dynamic vocal contours to facial emotion from an early age. MEI uses these dynamic contours to both understand and express multimodal emotions using a unified model called SIRE (Speed, Intensity, irRegularity, and Extent). Offline experiments with MEI support its cross-modal generalization ability: a model trained with voice data can recognize happiness, sadness, and fear in a completely different modality—human gait. User evaluations of the MEI robot speaking, gesturing and walking show that it can reliably express multimodal happiness and sadness using only the voice-trained model as a basis.
      PubDate: June 2014
      Issue No: Vol. 6, No. 2 (2014)
       
  • Adaptive Human Action Recognition With an Evolving Bag of Key Poses
    • Authors: Chaaraoui; A.A.;Florez-Revuelta, F.;
      Pages: 139 - 152
      Abstract: Vision-based human action recognition allows to detect and understand meaningful human motion. This makes it possible to perform advanced human-computer interaction, among other applications. In dynamic environments, adaptive methods are required to support changing scenario characteristics. Specifically, in human–robot interaction, smooth interaction between humans and robots can only be performed if these are able to evolve and adapt to the changing nature of the scenarios. In this paper, an adaptive vision-based human action recognition method is proposed. By means of an evolutionary optimization method, adaptive and incremental learning of human actions is supported. Through an evolving bag of key poses, which models the learned actions over time, the current learning memory is developed to recognize increasingly more actions or actors. The evolutionary method selects the optimal subset of training instances, features and parameter values for each learning phase, and handles the evolution of the model. The experimentation shows that our proposal achieves to adapt to new actions or actors successfully, by rearranging the learned model. Stable and accurate results have been obtained on four publicly available RGB and RGB-D datasets, unveiling the method’s robustness and applicability.
      PubDate: June 2014
      Issue No: Vol. 6, No. 2 (2014)
       
  • Humanoid Tactile Gesture Production using a Hierarchical SOM-based
           Encoding
    • Authors: Pierris; G.;Dahl, T.S.;
      Pages: 153 - 167
      Abstract: The existence of cortical hierarchies has long since been established and the advantages of hierarchical encoding of sensor-motor data for control, have long been recognized. Less well understood are the developmental processes whereby such hierarchies are constructed and subsequently used. This paper presents a new algorithm for encoding sequential sensor and actuator data in a dynamic, hierarchical neural network that can grow to accommodate the length of the observed interactions. The algorithm uses a developmental robotics methodology as it extends the Constructivist Learning Architecture, a computational theory of infant cognitive development. This paper presents experimental data demonstrating how the extended algorithm goes beyond the original theory by supporting goal oriented control. The domain studied is the encoding and reproduction of tactile gestures in humanoid robots. In particular, we present results from using a Programming by Demonstration approach to encode a stroke gesture. Our results demonstrate how the novel encoding enables a Nao humanoid robot with a touch sensitive fingertip to successfully encode and reproduce a stroke gesture in the presence of perturbations from internal and external forces.
      PubDate: June 2014
      Issue No: Vol. 6, No. 2 (2014)
       
  • Corrections to “An Approach to Subjective Computing: A Robot That
           Learns From Interaction With Humans”
    • Authors: Gruneberg; P.;Suzuki, K.;
      Pages: 168 - 168
      PubDate: June 2014
      Issue No: Vol. 6, No. 2 (2014)
       
 
 
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