• Journal of Microbiology and Biotechnology
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• v.2 no.4
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• pp.260-267
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• 1992

Pectate lyase from alkalitolerant Bacillus sp. YA-14 is an endo-type pectate lyase which acts randomly at the $\alpha$-1, 4-galacturonan linkage, and requires calcium or strontium ions for its activity. The enzyme is active on low methyl esterified pectin, but the activity toward a high methyl esterified substrate is reduced. The apparent Km's of the enzyme toward sodium polygalacturonic acid, polygalacturonic acid, and various pectins such as apple pectin, citrus pectin, and genu pectin are 0.826 mg/ml, 0.685 mg/ml, and 1.14 mg/ml, respectively. The enzyme activity is inhibited by SDS, urea, and sodium azide, but not by various reducing reagents, such as $\beta$-mercaptoethanol, Na-thiosulfate, Na-sulfate, cystein, and L-ascorbic acid. The enzyme is inactivated by N-bromosuccinimide, $I_2, H_2O_2$. PMSF, and iodoacetate. Judging from the results of their inhibition types, we speculate that tryptophan and serine residues are directly involved in enzyme activity, while tyrosine and methionine residues are indirectly involved in its activity.

• Structural Engineering and Mechanics
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• v.64 no.6
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• pp.803-817
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• 2017

Structural health monitoring has increasingly been a focus within the civil engineering research community over the last few decades. With increasing application of sensor networks in large structures and infrastructure systems, effective use and development of robust algorithms to analyze large volumes of data and to extract the desired features has become a challenging problem. In this paper, we grasp some precautions and key points of the signal processing approach, wavelet, establish a relative reliable framework, and analyze three problems that require attention when applying wavelet based damage detection approach. The cases studies how to use optimal scales for extracting mode shapes and modal curvatures in a reinforced concrete beam and how to effectively identify damages using maximum curves of wavelet coefficient differences. Moreover, how to make a recognition based on the wavelet multi-resolution analysis, wavelet packet energy, and fuzzy sets is a meaningful topic that has been addressed in this work. The relative systematic work that compasses algorithms, structures and evaluation paves a way to a framework regarding effective structural health monitoring, orientation, decision and action.

• Journal of the Korea Computer Industry Society
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• v.6 no.5
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• pp.697-714
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• 2005

In this paper, we made a windows-based interactive presentation system using a laser pointer mouse. The system provides that a speaker controls the presentation interactively by means of a laser pointer. During the presentation, a display PC generates on its local display a bitmap corresponding to the presentation. This bitmap is then transmitted to the projector and the bitmap is then projected onto the screen. The display of the presentation is controlled by the monitoring of the laser spots that are also projected onto the screen. Laser spot control is achieved through a control system. When the processing section matches the successive laser spot positions with a pre-established spatial pattern, the corresponding display command is issued. The display command may be transmitted to the display computer which responds by an action like mouse function.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.10a
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• pp.349-352
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• 2000

As a lot of people have used electronic commerce, many shopping malls have appeared on the Interne and the shopping information in them has been enormous. So, the need for a system to recommend product to customers is on the increase so as to reduce time and efforts for shopping. In this paper, we suppose a Product Recommender System which is constructed by applying data mining techniques to web for files and analyzing customer's action pattern, customer's profile and product purchase data. This system offers convenience that customers can get their desired information easily, by sending e-mail or mail and recommending web pages when they visit a shopping mall.

• The Korean Journal of Pharmacology
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• v.19 no.2
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• pp.9-16
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• 1983

The effect of higenamine upon the interval-strength relationship was kinetically analyzed, and compared them with epinephrine and calcium ion. The followings are result obtained : 1) Polyphasic patterns were seen by all agents applied on the interval-force curve of rabbit atrial muscle. 2) Higenamine, unlike calcium ion, increased the amount of PIEA produced per beat dose-dependently and scarcely affected the disappearance of NIEA. 3) Higenamine appeared to similar pattern with epinephrine in augmenting the PIEA, not affecting the NIEA. 4) Calcium ion slightly influenced the PIEA, rather hastened the disappearance of NIEA. From these result the positive inotropic action of higenamine was attributed solely to increment of PIEA.

• KIEAE Journal
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• v.14 no.4
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• pp.91-96
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• 2014

The behavior of walking involves our action of seeing things. It is the intention of this research that the cognitive process of perceiving things along the path can affect the way we sense the length of the journey. The theory generally accepted in this line of thought is the 'feature accumulation theory'. It assumes that if the journey includes many objects or memorable features, then our memory recalls that journey much farther than it really was. This study set up a real-life experiment by asking university students about their mental memory of the two different routes in the campus. One is a longer path that has not much to look at except trees and the other a shorter path yet with many buildings, sign boards and street furnitures. The subjects processed their mental image in the brain based on their experience. They showed a strong tendency that the path with more features were remembered longer while that with less features shorter. More interestingly, it was found that as their experience increases, they become more accurate about the exact length of the questioned paths. The result corroborates the theory that human perception of space is based on the topological understanding of surroundings rather than geometric understanding.

• Journal of Oral Medicine and Pain
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• v.22 no.2
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• pp.341-358
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• 1997

Clusterin is a highly glycosylated protein composed of two disulfide linked subunits. Although its biolobical action is not clearly defined, clusterin seems to be involved not only in remodeling of damaged tissue, but also in production of halitosis, the present study was designated to elucidate the expression of clusterin in the salivary gland of diabetic rats. For this study, 24 Sprague-Dawley rats were used for the experiment and divided into 2groups: control and experimental. The experimental group was composed of 18 rats and the control goup was 6 rats. After nduction of diabetes by STZ injection, the animals were sacrificed at 1,3,5,7,10,14 days. The parotid and submamndibular glands were observed histologically and the transcriptional expression of clusterin in the glands by Northern blot. The finding were as follows : 1. In experimental group, the salivary glands were observed at day 3 and then a seven destructive pattern was found in the glands at day 5. Howere, regeneration of gland tissue occured at day 14. 2. In experimental goup, destructive change was examined in the septal connective tissue after 7 days, and gradually more serious. 3. In experimental group, clusterin was expressed in the submandibular glands after 5 days, but in parotid glands to a lesser extent after 10 days. These results suggest that clusterin seems to be closely associated with histologic changes in the mucous glands rather serous glands.

• The Journal of Society for e-Business Studies
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• v.14 no.1
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• pp.35-56
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• 2009

Many process modeling techniques, such as Petri-net, UML Activity Diagram, and EPC, are used to design process models. In this paper, we analyze ubiquitous process design based on workflow patterns. In particular, we focus on process design using active rules that have the form of Event-Condition-Action, and deal with the WS-ECA language, which was devised for ubiquitous web services coordination. We first check whether workflow patterns can be designed with ECA rules, and we then provide WS-ECA representations for ECA rules of the patterns. The contribution of this paper is that ECA rule-based process models were presented based on workflow patterns and they can be a guideline for ubiquitous process modeling.

• Transactions of the Korean Society of Mechanical Engineers
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• v.19 no.8
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• pp.1972-1981
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• 1995

As a railway train enters a tunnel at high speed, a compression wave is formed in front of the train and propagates along the tunnel. The compression wave subsequently emerges from the exit of the tunnel, which causes an impulsive noise. The impulsive noise is closely related to the pressure gradient of the compression wave propagating the tunnel. In order to investigate the characteristics of the compression waves, in the present study an experiment was made using a shock tube. The results show that the strength of a compression wave decreases with the distance from the tunnel entrance and the nonlinear effect of compression wave appears to be significant if strength of the initial compression wave is greater than 7 kPa. Furthermore if the wave pattern is known, attenuation of the compression wave propagating in a tunnel can be reasonably predicted by a theoretical equation considering viscous action and heat transfer in boundary layer.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.12
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• pp.224-231
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• 2013

Defining the concept of prominent audio content as the most informative audio content from the users' perspective within a given unstructured audio segment, we propose a simple but robust intensity-based attack/release pattern features to detect the prominent audio content. We also propose a web-based annotation procedure to retrieve users' subjective perception and annotated 18 hours of video clips across various genres, such as cartoon, movie, news, etc. The experiments with a linear classification method whose models are trained for speech, music, and sound effect demonstrate promising - but varying across the genres of programs - results (e.g., 86.7% weighted accuracy for speech-oriented talk shows and 49.3% weighted accuracy for {action movies}).