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Harmonizing the style of all the furniture placed within a constrained space/scene has been regarded as one of the most important tasks in interior design. Most previous style analysis works measure the style similarity or compatibility of the objects based on predefined geometric features extracted from 3D models. However, “style” is a high-level semantic concept, which is difficult to be described explicitly by handcrafted geometric features. Deep neural network has been claimed to have more powerful ability to mimic the perception of human visual cortex. Therefore, in this work we utilize Triplet Convolutional Neural Network (Triplet CNN) to analyze style compatibility between 3D furniture models of different classes (e.g., a table and a lamp). It should be noted that analyzing the style compatibility between two or more furniture of different classes is quite difficult, as the given furniture may have distinctive structures or geometric elements. We conducted experiments based on a collected dataset containing 420 textured 3D furniture models. A group of raters were recruited from Amazon Mechanical Turk (AMT) to evaluate the comparative suitability of paired models within the dataset. The experimental results reveal that the proposed furniture style compatibility method based on deep learning is better than the state-of-the-art method and can be used for furniture recommendation.

Ultra Wideband technology is regarded by many as one of the future key technologies in communications and positioning. In this paper a positioning method is described for accurate underground mine localization of a sensor in a network of known beacons. The sensor measures the range to the beacons using an Ultra-Wideband (UWB) signal and uses statistical inference to correct for the error due to multipath and NLOS in underground mine. We show that a particle filter can be used to estimate the joint distribution over beacon measurement. Simulation results show perfect performance with UWB ranging and particle filter technology.

Proxy signature is the solution to delegation of signing capabilities in electronic world. Proxy signatures are signature schemes that an original signer delegates his signing capability to a proxy signer, and the proxy signer creates signatures on behalf of the original signer. To avoid the misuse of proxy signatures, the original signer hopes that he can restrict the signing capability delegated to the proxy signers. In this paper, a designated-receiver proxy signature scheme is proposed. In this scheme, an original signer nominates a person as signature receiver when he delegates his signing capability to a proxy signer, and the proxy signer can generate valid proxy signature on behalf of the original signer which none but the nominated receiver can verify and accept, thus the misuse of proxy signature is avoided. The security of the proposed signature scheme is analyzed. The scheme will be applied in e/spl I.bar/commerce and other fields.