• Korean Journal of Food Science and Technology
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• v.21 no.6
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• pp.772-779
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• 1989

The effects of screw speeds and moisture contents on the physical properties of texturized extrudate from isolated soy protein were examined by using a single-screw extruder. The screw speeds and moisture contents tested were in the range of 122-334 rpm and 20-35%, respectively, and die temperature were $90-145^{\circ}C$. The texturization characteristics such as nitrogen solubility index, integrity index, chewiness, density, rehydration ratio, and lightness after rehydration were appeared to be influenced by screw speed and moisture content. As the screw speed increased and moisture content decreased, die temperature, nitrogen solubility index, integrity index, lightness before and after rehydration were increased, while chewiness, density, water content of final extrudate wee decreased. The rehydration rate was changed drastically at the feed moisture content of 30% in particular. As the moisture content decreased, the air cell size became large and its number was increased. The effects of interaction between screw speed and moisture content of raw materials on the extrudate characteristics were tested by the analysis of variance.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.2
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• pp.205-211
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• 2012

The retrieved documents have to be transformed into proper data structure for the clustering algorithms of statistics and machine learning. A popular data structure for document clustering is document-term matrix. This matrix has the occurred frequency value of a term in each document. There is a sparsity problem in this matrix because most frequencies of the matrix are 0 values. This problem affects the clustering performance. The sparseness of document-term matrix decreases the performance of clustering result. So, this research uses the factor score by factor analysis to solve the sparsity problem in document clustering. The document-term matrix is transformed to document-factor score matrix using factor scores in this paper. Also, the document-factor score matrix is used as input data for document clustering. To compare the clustering performances between document-term matrix and document-factor score matrix, this research applies two typed matrices to self organizing map (SOM) clustering.

• The Journal of the Acoustical Society of Korea
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• v.31 no.8
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• pp.542-550
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• 2012

In this paper, an adaptive scheme for network topology configuration is proposed to save the overall energy consumption in underwater acoustic sensor network. The proposed scheme employs a self-organized networking methodology where network topology is locally optimized by exchanging the energy-related information between neighboring nodes such as the remaining energy of each node, in a way that the network life time can be augmented without any centralized control function. Computer simulation is used to evaluate the proposed scheme comparing with LEACH in terms of the number of alive nodes after a given time, the deviation of individual nodes' residual energy and the energy consumption at the initialization and coordination stages.

• Archives of design research
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• v.17 no.1
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• pp.201-210
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• 2004

The web as a sign synthesis text has become a kernel for incorporeal knowledge as well as a communication model through the ubiquitous environment all over the world. The evaluation of the communication model, which is essential for the information structure, acts as an important basis on determining the quality of the web contents. In this study, the development of the progress of the communication of semantic meaning in the construction of the information structure was analyzed in views of the form, the function, and the emotional effect of the rich media contents of the web. The transformation process from the initial access elements through the final selection elements was suggested as the communication model and the effects of the function of the information in the web on the process was assessed by the engineering and linguistic models of Shannon, Weaver, and Roman Jakobson. The results of this study showed that the environments such as the speed, the memory space, data compression technique, and data filtering have influences on the web contents expression and the evaluation of the communication model in connection with the environments is the basis in the information structure.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.100-106
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• 2022

A longitudinal study refers to a research method based on longitudinal data repeatedly measured on the same object. Most of the longitudinal analysis methods are suitable for prediction or inference, and are often not suitable for use in exploratory study. In this study, an exploratory method to analyze longitudinal data is presented, which is to find the longitudinal trajectory after determining the best number of clusters by clustering longitudinal data using self-organizing map technique. The proposed methodology was applied to the longitudinal data of the Employment Information Service, and a total of 2,610 samples were analyzed. As a result of applying the methodology to the actual data applied, time-series clustering results were obtained for each panel. This indicates that it is more effective to cluster longitudinal data in advance and perform multilevel longitudinal analysis.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.27-33
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• 2021

With increasing interest in key areas of the 4th industrial revolution such as artificial intelligence, deep learning and big data, scientific approaches have developed in order to overcome the limitations of traditional decision-making methodologies. These scientific techniques are mainly used to predict the direction of financial products. In this study, the factors of apartment prices, which are of high social interest, were analyzed through SOM. For this analysis, we extracted the real prices of the apartments and selected a total of 16 input variables that would affect these prices. The data period was set from 1986 to 2021. As a result of examining the characteristics of the variables during the rising and faltering periods of the apartment prices, it was found that the statistical tendencies of the input variables of the rising and the faltering periods were clearly distinguishable. I hope this study will help us analyze the status of the real estate market and study future predictions through image learning.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.482-482
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• 2022

하천의 합류부에서는 수질이 다른 유체가 혼합하여 합류 전과 다른 특성을 보인다. 하천의 합류부에서 수질을 효율적으로 관리하기 위해서는 수질의 공간적인 혼합 특성을 규명하는 것이 중요하다. 합류부에서 수질의 공간적인 혼합 특성을 분석하기 위해 본 연구에서는 토폴로지 데이터 분석(topological data analysis, TDA), 자기 조직화 지도(Self-Organizing Map, SOM), k-평균 알고리즘(K-means clustering algorithm) 세 가지 기법을 이용하였다. 세 가지 기법을 비교하여 어떤 알고리즘이 합류부의 수질 변화 특성을 더 뚜렷하게 나타내는지 분석하였다. 수질 변화 비교 인자들은 pH, chlorophyll, DO, Turbidity 등이 있고, 수질 인자들은 YSI를 활용해 측정하였다. 자료의 측정 지역은 낙동강과 황강이 합류하는 지역이며, 보트에 YSI 장비를 부착하고 횡단하여 측정하였다. 측정한 데이터를 R 프로그램을 통해 세 가지 기법을 적용시켜 수질 변화 비교를 분석한다. 토폴로지 데이터 분석(topological data analysis, TDA)은 거대하고 복잡한 데이터로부터 유의미한 정보를 추출하는 데 사용하고, 자기조직화지도(Self-Organizing Map, SOM) 기법은 차원 축소와 군집화를 동시에 수행한다. k-평균 알고리즘(K-means clustering algorithm) 기법은 주어진 데이터를 k개의 클러스터로 묶는 머신러닝 비지도학습에 속하는 알고리즘이다. 세 가지 방법들의 주목적은 클러스터링이다. 클러스터 분석(Cluster analysis)이란 주어진 데이터들의 특성을 고려해 동일한 성격을 가진 여러 개의 그룹으로 대상을 분류하는 데이터 마이닝의 한 방법이다. 군집화 방법들인 TDA, SOM, K-means를 이용해 합류 지역의 수질 특성들을 클러스터링하여 수질 패턴들을 분석해 하천 수질 오염을 방지할 수 있을 것이다. 본 연구에서는 토폴로지 데이터 분석(topological data analysis, TDA), 자기조직화지도(Self-Organizing Map, SOM), k-평균 알고리즘(K-means clustering algorithm) 세 가지 기법을 이용하여 합류부에서의 수질 특성을 비교하며 어떤 기법이 합류의 특성을 더욱 뚜렷하게 나타내는지 규명했다. 합류의 특성을 군집화 방법을 이용해 알게 된다면, 합류부의 수질 변화 패턴을 다른 합류 지역에서도 적용할 수 있을 것으로 기대된다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.1
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• pp.205-222
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• 2013

As Social Welfare Service Act was revised in 2011 and its enforcement decree was revised in 2012, the function of local social welfare center was classified into 3 functions such as case control function, service supply function and local society systematization function. Therefore, from 2013, local social welfare center faces the assignment to establish its status as a core subjectivity of local social welfare while maintaining function, role, business, program, service and organization system required for local social welfare center. Currently, there are internal and external limit factors for local social welfare center to perform its original function. The external limit factors are competition with similar organization, diversification of welfare desire depending on social change, insufficient service network construction and lack of partnership between private sector and government. The internal limit factors are lack of local social organization's ability, program issue, insufficient resource, insufficient manpower, etc. In order for local social welfare center to overcome the limit factor and establish the core status for improving the life quality of resident, it should concentrate its ability on local society systematization, construct human & material support network related to local social welfare, minimize social education program and simple relief project gradually, suggest the reasonable direction for village to nurture resident organization, develop the program based on the research on local resident's desire and create the partnership between private sector and government.

• Journal of Veterinary Clinics
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• v.32 no.6
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• pp.508-510
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• 2015

A 7-year-old castrated male Boston terrier dog was referred due to dyspnea and unilateral cervical mass. On physical examination, mass on left submandibular region was palpated. CT findings revealed this case could be the tumor originated from left lingual vein. The client refused further treatment and the patient expired because of respiratory failure 10 days after presentation. On necropsy, a well-defined firm mass which located in the left side of larynx was detected. Histopathological findings for the mass indicated polygonal tumor cells arranged in nest and separated by fibrovascular septa. We performed immunohistochemisry to evaluate of chromogranin A and tumor cells showed positive immunoreactivity for chromogranin A. Based on computed tomography (CT), histopathological and immunohistochemical findings, this case was definitely diagnosed to paraganglioma of the body on the lingual vein. This report describes the clinical findings, CT imaging characteristics, histopathologic and immunohistochemical features of paraganglioma arised from lingual vein in a dog.

• Restorative Dentistry and Endodontics
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• v.26 no.3
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• pp.191-199
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• 2001

목적 - 기질금속단백분해효소(matrix metalloproteinase)는 조직의 염증 및 치유과정에서 숙주세포에서 생성, 분비되어 세포외기질(extracellular matrix)의 분해에 작용한다. 다양한 염증반응에 기질금속단백분해효소가 중요한 역할을 하는것으로 보고되고 있으나 치수 및 치근단 질환에서의 그 역할은 거의 알려져 있지 않은 상태이다. 본 연구에서는 염증이 있는 사람의 치수 및 치근단 조직을 채취하여 Enzymeimmunoassay 및 면역조직화학적 검색을 통해 제1형, 2형, 3형 기질금속단백분해효소의 수준 및 그 분포를 측정하여 치수 및 치근단 병소에서 이 효소의 작용을 알아보는 것을 목적으로 한다. 방법 - 연구재료는 근관치료를 위해 서울대학교 병원 치과 진료부 보존과에 내원한 환자를 대상으로 34개의 치아에서 통상의 근관치료 중 발수한 치수조직과 치근단 수술중 얻은 치근단 병소(n=10)를 이용하였다. 치수는 발수 전에 임상진단을 통해 급성 치수염(n=12), 만성 치수염(n=12), 정상 치수(n=10)로 구분하고 정상치수로 진단된 것을 대조군으로 설정하였다. 채취된 표본은 둘로 나누어 절반은 30분 이내에 5$\mu\textrm{m}$ 두께로 동결절단을 시행하여 조직표본을 제작하였고 deep freezer에 보관하였다가 헤마톡실린-에오신 염색 및 면역조직화학적 검색을 시행하였다. 나머지 조직은 ELISA를 위해 액체 질소에 보관하였다. ELISA를 시행하기전 표본의 단백질 정량을 시행하여 모든 표본의 단백질 양을 50mg/$\mu\textrm{l}$로 일치시키고 Amersham사의 ELISA kit를 사용하여 제1형, 2형, 3형의 기질금속단백분해효소의 양을 측정하였으며 그 결과를 Mann-Whitney U test를 사용하여 각 군간의 통계학적 유의성을 검증하였다. 결과 1. ELISA의 결과 제1형 기질금속단백분해효소의 농도는 모든 실험군에서 대조군보다 유의성있게 높게 나타났다.(p<.05). 또한 급성치수염군의 제1형 기질금속단백분해효소의 농도가 다른 실험군보다 유의성있게 높았다(p<.05). 2. 제2형 기질금속단백분해효소의 경우 급성치수염군과 대조군에서만 유의성있는 차이를 보였다(p<.05). 3. 제3형 기질금속단백분해효소의 경우 급성치수염군에서 대조군이나 만성치수염군보다 유의성 있는 높은 수치를 보였다(p<.05). 4. 면역조직화학검색 결과 염증성 치수에 존재하는 급성 및 만성염증세포 주위로 기질금속단백분해효소에 대한 면역 반응이 존재하였으며 주로 제1형과 제3형 기질금속단백분해효소의 경우 대식세포 및 림파구 주위로 강한 발색제의 침윤양상이 관찰되었다. 5. 치근단병소의 면역조직화학적 검색 결과 만성염증 세포 주변으로 미약한 발색제의 침윤양상이 관찰되었다.