チャルチュアパ遺跡（エル・サルバドル共和国）の先古典期後期に関する一考察

2009-03-31departmental bulletin pape

Observation of the Decay B0→D±D*∓

journal articl

Transient Analysis of IR Transmission Spectroscopy by Using a Spectroscopic Flow Reactor for In Situ Studie of Heterogeneous Catalysis＊

application/pdfA sprectroscopic flow reactor was developed to study in situ conditions of heterogeneous catalysis which was in a transient state in various reaction gas compositions at a temperature range of 280?800℃. The reactor showed the transient behavior of adsorption and desorption of CO and CO_2 on magnesium oxide which was predehydrated at 350 (S_) and 800℃ (S_ and S_, and made it possible to assign many kinds of species, which were derived from the interaction of surface sites with adsorbates especially the hydroxyls, on local surface sites.departmental bulletin pape

Evaluation of a Set of Manual Alphabets Based Gestures for a User Authentication Method Using s-EMG

At the present time, mobile devices such as tablet-type PCs and smart phones have widely penetrated into our daily lives. This movement caused a new threat that a stranger takes a peek at our authentication operations on our touch screens and steals our passwords and steals our important information and data in our mobile devices. This forced us to develop new authentication method that can prevent this sort of crime called a shoulder surfing attack. We have investigated a new user authentication method for mobile devices that uses surface electromyogram (s-EMG) signals, not screen touching. The s-EMG signals, which are generated by the electrical activity of muscle fibers during contraction, can be used to identify who generated the signals and which gesture he made. We introduced a pass-gesture, which is a list of hand signals, to realize the s-EMG based authentication method. In order to realize this method, we have to prepare a sufficient number of gestures that are used to compose passwords. In this paper, we adopted figerspelling as candidates of such gestures. We measured s-EMG signals of manual kana of the Japanese Sign Language syllabary and evaluated their potential as the important element of the user authentication method. First, we attempted to choose ten gestures from the manual alphabets. Concretely, we made some gesutre groups according to their shapes and selected one gesture from each group. Next, we evaluated a series of experiments to identify the gestures from each other. Support Vector Machines were used in the exepriments. The results shows that the gesture set has can be identified to some extent.departmental bulletin pape