Molecular testing elucidated the etiologies of most biochemically uncharacterized PAI patients. Genetic defects such as defects are presumed based on phenotypes, while others with broad phenotypic variability, such as defects, are difficult to diagnose. Molecular testing is a rational approach to diagnosis in biochemically uncharacterized PAI patients.

Digital watermarking technology would be very useful as part of a related service introduction system (RSIS); this system provides related information to content, and the function of watermark in RSIS is analogous to that of barcode, i.e., watermark binds content ID to analog content such as an image on printed material.In this paper, we focus on a camera-equipped cellular phone used as a terminal for RSIS, and propose a fast watermark detection scheme from a captured image. The proposed scheme consists of two processes, one is to correct geometric distortion of the captured image, and the other is to detect watermark information from the rectified image. We also propose a new watermarking algorithm which is robust against small geometric distortion and suitable for the proposed scheme. Moreover, we introduce a quantitative evaluation method for indicating detection reliability, which is indispensable for RSIS service.Finally, we show that the proposed scheme enables users to detect embedded information in approximately one second, even when implemented as a Java application on a cell phone with limited resources, and report experiments that confirm the proposed scheme's efficiency.

An improved scheme for integrity protection of binary images representing text documents based on the topologies of these images is proposed. The image skeleton and the inverse skeleton are found through thinning and the skeleton signature is combined with watermark information. The result is encrypted asymmetrically and hidden in embeddable locations of the image. A series of attack experiments are conducted to demonstrate that the approach is capable of detecting tampering. Even single malicious pixel modifications are detected. The approach has a lower computation cost than previous methods.

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We developed a system that enables a camera-equipped cellular phone to read digital watermarks embedded in various media in real time, and that presents to the user a link to a Web page, video, or music associated with that watermark information. A picture captured by a camera is the result of applying a projective transformation combining rotation, scaling, and tilting to the original picture, The picture must be subjected to an inverse projective transformation prior to reading the watermark in order to return it to the same geometric form as the original picture. This inverse transformation requires transformation parameters, and the corners of the picture outline can be used as feature points for determining these parameters. In this paper, we propose a Side Trace Algorithm (STA) that reduces the processing time required to find corners of the picture less than 1/100 that when using the Hough transform and the conventional pattern matching, and present results of its implementation.