• Natural Product Sciences
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• v.12 no.4
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• pp.241-246
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• 2006

Alstonia scholaris is known as 'Saptaparna' in Ayurvedic System of Medicines and the bark is used for the treatment of various diseases. It has various ethnomedicinal values as different traditional communities find diverse medicinal properties. The present communication deals with the seasonal variation studies of the stem bark of this plant. The bark was collected in the month of January, July and November. There is no macro-microscopical changes in all the three seasons but the ash values showed significant differences. Crude fibre content showed sharp decline from January to July to November. Total tannin percentage was found maximum in January and minimum in June. TLC finger print profile showed more concentration of constituents in January as compared to June and November. Hence, the bark may show more efficacy when collected in January.

• The Journal of Korea Robotics Society
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• v.3 no.2
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• pp.123-130
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• 2008

In this paper, we present a grasp planning method using grasp taxonomy and object primitives. Our grasp taxonomy includes newly defined grasp methods such as thumb supported pinch and palm supported pinch, to enhance grasp robustness. On the target surface, locations of finger-print that will be contacted by the robot fingers are sampled. The sampling is made to be consistent to the grasp taxonomy, called preformed grasps, matched to the target object. We perform simulations to examine the validity and the efficacy of the proposed grasp planning method.

• Journal of the Optical Society of Korea
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• v.13 no.4
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• pp.445-450
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• 2009

Fingerprint recognition using a joint transform correlator (JTC) is the most well-known technology among optical fingerprint recognition methods. The JTC method optically compares the reference fingerprint image with the sample fingerprint image then examines match or non-match by acquiring a correlation peak. In contrast to the JTC method, this paper presents a new method to examine fingerprint recognition by producing a computer generated hologram (CGH) of those two fingerprint images and directly comparing them. As a result, we present some parameters to show that fingerprint recognition capability of the CGH direct comparison method is superior to that of the JTC method.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.407-429
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• 2004

As documents in webs are increasing explosively due to the rapid development of electronic documents, an efficient system classifying documents automatically is required. In this study, a new document classification method, which is called Document Finger Print Method, is suggested to classify web documents automatically and efficiently. The performance of the suggested method is evaluated alone with other existing methods such as key words based method, weighted key words based method, neural networks, and decision trees. An experiment is designed with 10 documents categories and 59 randomly selected words. The result shows that the suggested algorithm has a superior classifying performance compared to other methods. The most important advantage of this method is that the suggested method works well without the size limits of the number of words in documents.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.386-390
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• 2002

In this paper, it was presented that broadly delivered scanner devices can also used in finger print recognition process and then modified existing steps of fingerprint image processing. First, using the adaptive binary method, that effect was certified already, increased the effect of the results. And then, applying table mapping methods that looks for elements from look-up table, decreased the processing time, too. Finally, it was presented that ridge-direction characteristics extracted from these processes can used effectively in the area of fingerprint recognition system.

• Applied Chemistry for Engineering
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• v.3 no.3
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• pp.516-521
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• 1992

Hydroxypropyl chitin (HPCH) was prepared by reacting chitin with propylene oxide. HPCH showed the improved solubility in several organic solvents compared with chitin. It showed the remarkable solubility in formic acid. Form the results of polarized microscopic observatoin of HPCH solution in formic acid, finger-print pattern was observed in concentrations over 30 wt% solution. Since no typical thermogram was observed in DSC scan, the HPCH showed a lyotropic cholestric liquid crystallinity.

• Food Engineering Progress
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• v.13 no.4
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• pp.282-288
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• 2009

A dark brownish pigment from fruit body of Auricularia auricula was isolated and characterized in this report. The pigment was obtained with a yield of 0.61%(w/w) by alkaline extraction and subsequent purification steps. It showed the positive $FeCl_3$ test which was the indication of phenolic compounds. A synthetic melanin showed a similar spectrometric characteristics to the pigment extract regarding a characteristic UV absorption between 200-250 nm and infrared absorptions profiles in the finger print region including absorption peaks at 1701 and 1624 $cm^{-1}$. Its element analysis indicated that its atomic copmposition is close to that of DOPA melanin (eumelanin). With the result of its antioxidant activity in the TNBT (5-thio-2-nitrobenzoic acid) assay, we concluded that the dark brownish pigment from A. auricula is a melanin-like compound having a powerful antioxidative activity.

• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.592-595
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• 2004

Recently the numbers of patent about the technology for mobile payment with Ie or bluetooth-chip are being increased more and more. The reasons of patent increment for mobile payment are advancement of wireless internet technology and rising of customer's request for it. The customer wants to be able to pay for purchase, tax and aid with own mobile phone. So every mobile service provider applies for patents about that competitively. And in the near future the biometrics is generalized in the mobile payment system. Especially the payment service of iris recognition is significant technique in this area for the future prospect. The biometrics of iris is an accurate authentication method because it has about 250 distinguish parameters to the finger print's 30. The biometrics of iris can recognize and identify a person for 2 seconds. But the image of iris is changed by transformation of body in the life. And the existing iris authentication system has problem that can be miss-recognized. In this paper, we propose the new method that reduces miss-recognizing rate with Renewable Iris Authentication Algorithm(RIAA) in mobile system.

• Journal of Chest Surgery
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• v.18 no.2
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• pp.214-219
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• 1985

It is well known that the morphologic feature of coronary artery is variant as finger print. Left coronary artery is divided into the left anterior descending artery and circumflex artery and supplies almost left atrium, left ventricle and interventricular septum. Clinically, the morphologic features of number of branches and the length of the left main coronary artery are important. In Korea, there are few reports about morphologic study of the coronary artery, and the coronary angiogram and open heart surgery are common. Now the author studied the morphology of the proximal part of the left coronary artery in Korean 50 Adult cadavers and obtained the following results: 1. The length of the left main coronary artery is from 5 mm to 16 mm [mean 9.7 mm]. 2. The diameter of the proximal part of the left coronary artery is from 3.2 mm to 7.7 mm [mean 5.3]. 3. The features of the branching are bifurcation [58%] trifurcation [38%] and quadrifurcation [4%]. 4. The diameter of the left anterior descending artery is from 2.7 mm to 8.1 mm [mean 4.5] and circumflex artery from 2.1 mm to 6.2 mm [mean 3.9].

• Journal of Advanced Navigation Technology
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• v.12 no.5
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• pp.483-493
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• 2008

For effective wireless localization utilizing signal strength measurements based on IEEE 802.11 WLAN standard diversity of mobile hardware, characteristics of is one of the important problems to be considered for advanced location-based services. For improved accuracy regardless of a bias originating from the mobile hardware characteristics, this paper proposes a new localization algorithm, which is named as the hybrid Kriging algorithm. To evaluate the performance characteristics of the proposed algorithm, simulation and experiment results are illustrated. By the simulation and experiment result, the proposed algorithm is more accurate than the well-known location finger-print method given the same density of reference measurements.