This paper is devoted to new optical methods, which are supposed to be used for liveness detection on fingers. First we describe the basics about fake finger use in fingerprint recognition process and the possibilities of liveness detection. Then we continue with introducing three new liveness detection methods, which we developed and tested in the scope of our research activities—the first one is based on measurement of the pulse, the second one on variations of optical characteristics caused by pressure change, and the last one is based on reaction of skin to illumination with different wavelengths. The last part deals with the influence of skin diseases on fingerprint recognition, especially on liveness detection.

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A smartphone is one of the best candidate devices on which context based services can be provided because a smartphone has considerably powerful computing ability and large memory capacity and it is a personal belonging. One of the most important factors of context is the moving status of the smartphone. For example, if the smartphone is not moving and the user is in an exhibition room then we can conclude that the user is watching an exhibit. This paper proposes an algorithm of determining the moving status of a smartphone for the first time. Our test results showed that the proposed algorithm is 100% correct.

Abstract. System lifespan modeling becomes more complicated when an external event causes the succession of failure in 2 or more system components. Models that don't consider this common cause failure cause the wrong estimation of system reliability. Let us assume that there are data composed of numbers of successive failures in i, i = 1, … , n out of n components of system. Data having these characteristics are closely related with the number of system components. This is a problem occurring frequently in the estimation of reliability with respect to environmental change among components in various systems. This paper is intended to examine the estimation methods of reliability for common cause failure at k-out of-n system.