• Journal of Oral Medicine and Pain
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• v.33 no.1
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• pp.49-57
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• 2008

Personality characteristics of BMS patients were alalyzed psychologically by using the SCL-90-R. 59 BMS patient were subjected at Orofacial pain clinic, Department Of Oral Medicine, Pusan National University Hospital during the period from 2006 to 2007. The control group were subjected at dental clinic during the same period. 1. BMS patients group, Dental new patient group, Adult citizen groups were within normal range. 2. The T-scores of HOS, PHOB,PAR, PSY in BMS patient groups was significantly low. 3. The mean T-scores of male in BMS patients group shows the lowest HOS scale, the mean T-scores of female in BMS patient group shows the lowest PHOB scale. 4. The mean T-scores of female in BMS patients group show higher SOM, O-C, DEP, ANX, PSY scales. 5. As compared with the mean T-scores of acute and chronic group in BMS patients, there was no significant difference of the scales.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.4
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• pp.765-771
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• 2009

The medical informatics for clustering Sasang types with collected clinical data is important for the personalized medicine, but it has not been thoroughly studied yet. The purpose of this study was to examine the usefulness of neural network data mining algorithm for traditional Korean medicine. We used Kohonen neural network, the Self-Organizing Map (SOM), for the analysis of biomedical information following data pre-processing and calculated the validity index as percentage correctly predicted and type-specific sensitivity. We can extract 12 data fields from 30 after data pre-processing with correlation analysis and latent functional relationship analysis. The profile of Myers-Briggs Type Inidcator and Bio-Impedance Analysis data which are clustered with SOM was similar to that of original measurements. The percentage correctly predicted was 56%, and sensitivity for So-Yang, Tae-Eum and So-Eum type were 56%, 48%, and 61%, respectively. This study showed that the neural network algorithm for clustering Sasang types based on clinical data is useful for the sasang type diagnostic test itself. We discussed the importance of data pre-processing and clustering algorithm for the validity of medical devices in traditional Korean medicine.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.48 no.4
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• pp.428-444
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• 2012

The species composition and seasonal variation of fisheries resources in Jinhae bay and Jinju bay, were studied using shrimp beam trawl through a year of 2010. During the study period, a total of 117 species were collected in Jinhae bay. Species included were 63 species in Pisces and 24 in Crustacea. And a total of 106 species were collected in Jinju bay. Species included were 57 species in Pisces and 31 in Crustacea. The dominant species were Zoarces gilli, Crangon hakodatei and Oratosquilla oratoria in Jinhae bay, and Crangon hakodatei, Leiognathus nuchalis and Charybdis bimaculata in Jinju bay. The samples were mainly grouped according to the location and season on the SOM. Group 1 with sample sites in Jinju bay, was characterized by high values of Parapenaeopsis tenella, Leiognathus nuchalis and Hexagrammos otakii. Group 2 with sample sites in April, were dominant Crangon hakodatei and Luidia quinaria. The samples in Group 3 were high values of Charybdis bimaculata and Pleuronichthys cornutus. Group 4 with sample sites in Jinhae bay, was characterized by high densities of Zoarces gilli and Pholis fangi. The dominant species, Crangon hakodatei, were catched egg-bearing females until June. Zoarces gilli and Leiognathus nuchalis were presented small size individuals during study period. It represented that study area is an important role in spawning and nursery ground for fisheries resources.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.363-366
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• 2005

Pure P2P 환경에서는 축적된 자료를 사용하지 않고 실시간 정보를 사용하여 소수의 서비스 항목만으로도 협력적 필터링을 제공할 수 있어야 한다 그러나 지역에서 수집된 소수의 서비스 항목만으로 협력적 필터링을 할 경우 추천 서비스의 질이 떨어지게 되므로, 사용자의 컨텍스트 정보를 이용하여 추천 서비스의 질을 높일 수 있는 방법이 연구되어야 한다. 하지만 사용자 컨텍스트 정보는 다량의 정보가 순간에 인식될 수 있기 때문에 확장성 문제(Scalability Problem)가 발생하고, 영역과 아이템에 따라 차별화된 서비스를 지원하기에는 한계성을 가지고 있다. 이러한 문제점을 해결하기 위하여 본 연구에서는 SOM을 이용하여 컨텍스트 정보를 서비스 영역별로 클러스터링(Clustering)하여, 사용자별로 분류함으로 확장성 문제를 해결하였다. 또한, 분류된 자료들 중 서비스 요구자와 비슷한 분류에 있는 사용자들의 컨텍스트 정보들을 정량화하여 협력적 필터링함으로 사용자에게 적합한 서비스를 지원할 수 있다.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.153-170
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• 2008

Customers' needs change every moment. Profitability of stores can't be increased anymore with an existing standardized chain store management. Accordingly, a personalized store management tool needs through prediction of customers' preference. In this study, we propose a recommending procedure using dynamic customers' preference by analyzing the transaction database. We utilize self-organizing map algorithm and association rule mining which are applied to cluster the chain stores and explore purchase sequence of customers. We demonstrate that the proposed methodology makes an effect on recommendation of products in the market which is characterized by a fast fashion and a short product life cycle.

• Atmosphere
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• v.28 no.3
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• pp.305-315
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• 2018

This study investigates the characteristic spatial patterns and dynamic processes associated with the summertime extreme temperature events in South Korea during the last 20 years (1995~2014) using Self-Organizing Map (SOM). The classified SOM patterns commonly have high temperature and anticyclonic circulation anomalies over South Korea. The two major teleconnection patterns are identified: one is from the subtropical western North Pacific (WNP) affecting to the north and the other is from the North Atlantic (NA) affecting downstream region. The meridional teleconnection pattern is related to the forcing of positive sea surface temperature (SST) anomaly over the WNP. The northward propagating Rossby wave generates the East Asia-Pacific (EAP) pattern to form an anticyclonic circulation anomaly over South Korea. On the other hand, NA SST anomalies generate an eastward Rossby wave train across the Eurasian continent, leading to the development of an anticyclonic circulation anomaly over South Korea. The EAP pattern occurs more frequently in July and August, whereas the midlatitude teleconnection pattern associated with NA SST anomalies develops more frequently in early summer (June).

• Korean Journal of Plant Resources
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• v.34 no.1
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• pp.31-36
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• 2021

Berchemia berchemiaefolia (Makino) Koidz. is found not only in korea, but also in japan and is known as a rare plant all over the world. In this study, we evaluated anti-inflammatory effect of B. berchemiaefolia (Makino) Koidz. leaves (BBK-L) in LPS-stimulated RAW264.7 cells. BBK-L inhibited the generation of NO through the suppression of iNOS experession. BBK-L attenuated the expression of iNOS, COX-2, TNF-α, IL-1β, IL-6 induced by LPS. BBK-L decreased LPS-mediated IκB-α degradation inhibite which resulted in the inhibition of NF-κB activation in RAW264.7 cells. In addition, BBK-L suppressed ERK1/2, JNK phosphorylation induced by LPS. BBK-L showed anti-inflammatory effect through blocking the generation of the inflammatory mediators such as NO, iNOS, COX-2, TNF-α, IL-1β, IL-6 via the inhibiting of NF-κB and MAPK signaling activation. These results suggests that BBK-L may have great potential for the development of anti-inflammatory drug to treat acute and chronic inflammatory disorders.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.08a
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• pp.221-221
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• 2012

Small-molecule organic photovoltaic cells have recently attracted growing attention due to their potential for the low-cost fabrication of flexible and lightweight solar modules. The PVP/Ag nanoparticles were synthesized by the reaction of poly vinylpyrrolidone (PVP) and silver nitrate at $150^{\circ}C$. In the reaction, the size of the nanoparticles was controlled by relative mole fractions between PVP and Ag. The PVP/Ag nanoparticles with various sizes were then spin coated on the patterned ITO glass prior to the deposition of the PEDOT:PSS hole transport layer. The scattering of the incident light caused by these incorporated nanoparticles resulted in an increase in the path length of the light through the active layer and hence the enhancement of the light absorption. This scattering effect increased as the size of the nanoparticles increased, but it was offset by the decrease in total transmittance caused by the non-transparent nanoparticles. As a result, the maximum power conversion efficiency, 0.96% which was the value enhanced by 14% compared to the cell without incorporation of nanoparticles, was obtained when the mole fraction of PVP:Ag was 24:1 and the size of the nanoparticles was 20~40 nm.

• Journal of KIISE:Software and Applications
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• v.33 no.5
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• pp.499-507
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• 2006

Recently human gait has been considered as a useful biometric supporting high performance human identification systems. This paper proposes a view-based pedestrian identification method using the dynamic silhouettes of a human body modeled with the Hidden Markov Model(HMM). Two types of gait models have been developed both with an endless cycle architecture: one is a discrete HMM method using a self-organizing map-based VQ codebook and the other is a continuous HMM method using feature vectors transformed into a PCA space. Experimental results showed a consistent performance trend over a range of model parameters and the recognition rate up to 88.1%. Compared with other methods, the proposed models and techniques are believed to have a sufficient potential for a successful application to gait recognition.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.252-252
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• 2012

It is widely accepted that short exciton diffusion lengths of organic semiconductors with respect to the film thickness limit the charge (hole and electron) separation before excitons recombination in organic photovoltaic (OPV) cells. Therefore the efficient absorption of incident light within the thin active organic layer is of great importance to improve the power conversion efficiency (PCE) of the cells. In this work, we fabricated 2-dimensionally (2D) nano-patterned poly(3,4-ethylenedioxythiophene): poly(styrenesulfonate) (PEDOST:PSS) layers using capillary phenomenon and nano-imprinting technology at the scale of several hundred nanometers. This 2D nano-patterned PEDOT:PSS layer exerted photonic crystal effect such as redirection of light paths and variation of light intensity at specified wavelengths. It is also expected that the consequently alternated light pass lengths and intensities change the absorption properties of zinc phthalocyanine (ZnPc) thin films grown on top of the nano-patterned PEDOT:PSS layer. The influence of conductivity and thickness of the PEDOT:PSS layer on the absorption properties of ZnPc thin films were also investigated.