A vision-based machine learner is presented that learns characteristic hand and object movement patterns for using certain objects, and uses this information to recreate the ”imagined” object when the gesture is performed without the object. To classify the gestures/objects, Hidden Markov Models (HMMs) are trained on the moment-to-moment velocity and shape of the object-manipulating hand. Objec...

This paper presents the seismic performance of moment-resisting timber frame (MRTF). In Japanese urban areas, there are many small houses, and it is difficult to design a wooden building ensure both comfortable plan that effectively makes use constrained sites, also lacks flexibility in design. Therefore, expectations rising for high MRTF using residential members. this study, clarify dynamic b...

The authors measure the hyperfine coupling constant, molecular frame electric dipole moment, and magnetic $g$-factor of ThF${}^{+}$ compare them with theoretical calculations. results imply that could potentially be an excellent candidate for electron-electric-dipole-moment experiments due to its longer coherence time than HfF${}^{+}$, which in a higher sensitivity.

In this paper, the seismic performance of reinforced concrete moment-resisting frame with cold-joint subjected to monotonic lateral load has been studied numerically using Pushover analysis. Two modes fracture may occur for in a in-plane loading. The are Mode-I (stress orthogonal local plane crack surface) and Mode-II parallel surface but front). order model verify its behavior mode I II mechan...