author: kenji suzuki

Cybernics: Fusion of human, machine and information systems

... muscle, thick and thin filaments slide past each other, and form cross-bridges between the myosin and actin which generate a contractile force. This contractile machinery is called the “sliding filament hypothesis” [1]. Skeletal muscle ...

Testing of Software and Communicating Systems: 20th IFIP TC 6/WG 6.1 International Conference, TestCom 2008 8th International Workshop, FATES 2008, Tokyo, Japan, June 10-13, 2008 Proceedings

... Example 4. Fig. 4 contains a test purpose TPa extracted from the AVM of Example 1. Symbolic extended states labeled by ⊙ are targets of paths which are outside of the behavior to be tested. The path to be tested denotes the following ...

Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings

... iU22 machine (Philips Healthcare). The volume size is approximately 500×256×500 voxels with mean (0.2×0.33×0.2) ... manual annotation and the corresponding VOIs. The VOIs are used to focus segmentation on these areas only which also ...

Artificial Neural Networks: Architectures and Applications

... brain, fifth edition, Oxford University Press, USA, 2003. [52] A. B. Silva ... on Neural Networks, San Jose, California, July 31 - August 5, 2011, pp. 1394 ... Free Encyclopedia, available at http://en.wikipedia.org/wiki/Neuron Weight ...

Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers

... KTiATi Ww (i,i)− ∑ i,j ATi Kj KTiATi Ww (i,j) =ATKD wKTA − ATKWw KTA (10) =ATKLwKTA given Eq. (3). Here, A = [A1 ... template using HAMMER [11]. Fig. 2 illustrates some results from the fuzzy block matching method used to select the ...

Social Robotics: 9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017, Proceedings

... design and implementation of Macaron, (2) Evaluation of the hug detection approach, and (3) User's perception evaluation of Macaron's feedback. First, design requirements, hardware overview, and hug detection method, are described. Then ...

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