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This paper introduces the notion of quantifiable trust for electronic commerce. It describes metrics and models for the measurement of trust variables and fuzzy verification of transactions. Trust metrics help preserve system availability by determining risk on transactions. Furthermore, when several entities are involved in electronic transactions, previously know techniques are applied for trust propagation. Malicious transacting entities may try to illegitimately gain access to private trust information. Suitable protocols are developed to minimize breach of privacy and incorporate a non-repudiable context using cryptographic techniques.

This article presents a novel means for suppressing gear mesh related vibrations. The key components in this approach are piezoelectric actuators and a high-frequency, analog feed forward controller. Test results are presented and show up to a 70% reduction in gear mesh acceleration and vibration control up to 4500 Hz. The principle of the approach is explained by an analysis of a harmonically excited, general linear vibratory system.

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In this paper, we consider a new visual cryptography scheme that allows for sharing of multiple secret images on graphs: we are given an arbitrary graph (V , E) where every node and every edge are assigned an arbitrary image. Images on the vertices are "public" and images on the edges are "secret". The problem that we are considering is how to make a construction such that when the encoded images of two adjacent vertices are printed on transparencies and overlapped, the secret image corresponding to the edge is revealed. We define the most stringent security guarantees for this problem (perfect secrecy) and show a general construction for all graphs where the cost (in terms of pixel expansion and contrast of the images) is proportional to the chromatic number of the cube of the underlying graph. For the case of bounded degree graphs, this gives us constant-factor pixel expansion and contrast. This compares favorably to previous works, where pixel expansion and contrast are proportional to the number of images.