This paper proposes an algorithm for solving subsets of typical (canonical) jigsaw puzzles. This algorithm combines shape and image matching with a cyclic ''growth'' process that tries to place pieces in their correct positions. First, the jigsaw pieces are extracted from the input image. Then, the corner points of the jigsaw pieces are detected. Next, piece classification and recognition are performed based on jigsaw piece models. Connection relationships between pieces are calculated and finally recovered by using boundary shape matching and image merging. We tested this algorithm by employing real-world images containing dozens of jigsaw pieces. The experimentÕs results show this algorithm is efficient and effective.

In order to investigate the effects of listening of 1/ f fluctuation music, analyses of heart rate variability (HRV) by discrete Fourier transform (DFT) have been widely conducted. These methods are useful to estimate the autonomic nervous system activity (sympathetic or parasympathetic activity). To examine the effects of listening of 1/ f fluctuation music, three experiments are carried out. 23 healthy subjects participated the first experiment, and one piece of 1/ f fluctuation music is employed as the test piece. All subjects are asked to listen to the test piece individually, and their HRV are recorded and analyzed by DFT. The experiment result shows that the sympathetic nerve activity tends to decrease significantly when the subjects are listening to the test piece. The second invited 2 healthy subjects. They are asked to listen to the test piece (different from the first experiment) individually for 14 times (one time per a day), and their HRV are recorded and analyzed by DFT. The experiment result discovers linear relationship between the frequency of listening to the test piece and the changes of parasympathetic activity for both subjects. 5 healthy subjects participated the third experiment. They are asked to listen to the test piece (different from the first and second experiment) at the same time, and their HRV are recorded and analyzed by DFT. The experiment result shows that the sympathetic nerve activities of all subjects tend to decrease when they are listening to the test piece. From these results, this study concludes: (1) the effect of decreasing in sympathetic nervous activity by listening of a 1/ f fluctuation music is significant; (2) repeated listening of a 1/ f fluctuation music has effect to increase the parasympathetic activity.

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Quantum-dot cellular automata (QCA) is an attractive nanotechnology with the potential alterative to CMOS technology. QCA provides an interesting paradigm for faster speed, smaller size, and lower power consumption in comparison to transistor-based technology, in both communication and computation. This paper describes the design of a 4-bit multifunction nanosensor data processor (NSDP). The functions of NSDP contain (i) sending the preprocessed raw data to high-level processor, (ii) counting the number of the active majority gates, and (iii) generating the approximate sigmoid function. The whole system is designed and simulated with several different input data.

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