• Proceedings of the Korean Society for Bioinformatics Conference
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• 2006.02a
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• pp.46-55
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• 2006

(주)지노믹트리는 DNA 마이크로어레이 기술을 기반으로 하는 분자진단회사로서, 다음의 세가지 사업에 전력하고 있다. 첫째는 독창적이며 특화된 바이오마커 발굴기술 (MAGIC system)을 바탕으로 각종 암진단을 위한 바이오마커 개발연구 두 번째는 당사의 원천 기술인 다중동시검출 시스템을 이용한 질병 진단 시스템 및 증폭시스템 세 번째는 마이크로어레이 기술을 이용한 유전자 발현 분석, Array CGH, DNA 메틸레이션 분석 그리고 miRNA 검출 등의 지노믹스시대의 연구를 위한 토탈솔루션을 제공하고 있다. 지난 5년간의 마이크로어레이 기반기술을 이용한 자체연구 활동을 수행하면서 축적된 마이크로어레이 관련기술 노-하우들을 국내 마이크로어레이 연구자들에게 공급하기 위하여 노력하고 있다. 특히 당사의 지노믹서비스 부문은 유전자 발현 분석 솔루션 제공을 위해서 자체적으로 제작하여 공급하고 있는 human cDNA(17K/25K) 및 rat cDNA (5.0K) 마이크로어레이, Human (22K) 및 mouse (10K) 올리고뉴클레오타이드 마이크로 어레이 그리고 미생물 연구를 위한 대장균 (6K) 및 폐렴균 (2.2K) 올리고뉴클레오타이드 마이크로어레이 제공 및 이를 이용한 유전자 발현 분석 서비스를 제공하고 있다. 체적으로 제작되는 마이크로어레이 서비스는 2001년 도입한 ISO9001 품질인증시스템의 기반하에서 제작부터 생산까지의 엄격한 품질관리 과정을 거쳐서 고품질의 마이크로어레이를 이용한 분석서비스를 제공 하고 있다. 또한 고객요구형 서비스를 위하여 국외 유수의 마이크로어레이 회사 (Agilent, Microarray Inc, TIGR, Eurogentec 등)의 whole genome 기반의 마이크로어레이 제품을 이용한 분석서비스를 제공하고 있으며 마이크로어레이 실험을 위해서 필수적으로 이용되고 있는 시약 (labeling kit), 마이크로어레이 hybridization을 위한 hardware (hybridization chamber, hnay centrifuge)등을 자체적으로 개발하여 공급하고 있다. DNA copy number 측정을 위한 Array CGH 분석을 위해서는 자체적으로 제작공구하고 있는 human cDNA 마이크로어레이 (17K/25K) 그기고 rat (5.0K) 마이크로어레이를 이용한 분석서비스 및 whole genome 기반의 Agilent 올리고뉴클레오타이드 CGH 어레이 (44K, 35Kb resolution)를 이용한 분석서비스를 제공하고 있다. Epigenetic study를 하는 연구자들을 위한 메틸레이션 마이크로어레이 분석 서비스를 제공하고 있다. 기존분석법인 Bisulfite 처리기반의 분석이 아닌 enzyme digestion후 PCR 증폭방법을 이용한 분석방법을 이용함으로써, bisulfite 처리에 의한 DNA 손실문제를 최소화 하였다. 현재 50개의 문헌을 통해 잘 보고된 메틸레이션 유전자들에 대한 분석서비스를 제공하고 있으며, 지속적으로 표적컨텐츠의 숫자를 증가시킬 예정이다. 최근 많은 연구자들의 관심을 끌고 있는 micro RNA 검출을 위한 DNA 마이크로어레이 서비스를 제공할 예정이다 (2006년 3월 출시). 현재 까지 알려진 약 320개의 모든 miRNA를 탑재하고 있는 소형 DNA 마이크로어레이를 이용한 분석서비스로서 1장의 마이크로어레이 실험을 통하여 알려진 모든 miRNA의 비교분석이 가능하다. 마이크로어레이 실험 뿐만 아니라 data 분석을 위한 software도 상당히 중요한 비중을 차지하고 있다 이를 위하여 (주)지노믹트리는 Agilent에서 개발한 GeneSpring GX (유전자 발현 분석), Signet (마이크로어레이 database) 및 GeneSpring GT (SNP 분석)를 공급하고 있다. 통계적인 기반 지식의 없은 일반 user들을 위한 간편하면서도 종합적인 기능을 포함하고 있는 우수한 프로그램으로 이미 국제적으로 많은 인정을 받고 있다. (주)지노믹트리는 국내외 많은 연구자들의 경제적, 시간적 연구여건을 고려한 마이크로어레이 토탈솔루션을 제공하고 있으며, 실험 분석에서 data 마이닝 그리고 마이크로어레이 실험 디자인에 이르는 토탈솔루션을 제공하고 있다.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.39 no.2
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• pp.39-49
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• 2021

This study was conducted to establish practical goals for the viewing environment and interpretation and delivery system of cultural heritage and to create an viewing environment according to the classification of cultural heritage types, and the conclusions reached are as follows. First, five goals were set based on the international basic principles of the cultural heritage viewing environment and interpretation and delivery system. Second, based on the set goals, cultural heritage was classified into the first type 'disappeared and hidden heritage', the second type 'stuffed memory heritage', and the third type 'living memory heritage'. Third, the directions for creating the viewing environment for each type of cultural heritage were suggested. The first type has to be able to properly convey cultural heritage to visitors through excavation and digital technology. The second type needs a plan to deliver tangible and intangible values by combining various digital technologies with actual cultural heritage. The third type should emphasize the role of local residents in effectively enjoying the tangible and intangible values ??that already exist. Fourth, it proposed comprehensive considerations in the establishment of the cultural heritage viewing environment and interpretation and delivery system. Based on dynamic and sustainable heritage management, cultural heritage viewing should be valuable, satisfying and enjoyable. In addition, local communities should be actively involved, and tourism and conservation activities should be able to benefit the community. Establishment of a viewing environment should protect and strengthen the authenticity of cultural heritage.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.2
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• pp.101-112
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• 2021

In Korea, efforts have been made continuously to improve the environment of traditional markets concerning the issues of urban regeneration. In particular, many old cities and traditional markets face a lack of parking spaces. As a solution to this, attempts are being made to prepare underground parking spaces by designing urban planning facilities in three-dimensional ways and utilizing the upper part as a more meaningful space. This study is about the master plan to use the upper green area while creating an underground parking lot at 571 Sinmae-dong, Suseong-gu, Daegu. This green area was defined as a space with dual values, 'defensive green space' that needs to be ecologically protected, and 'active cultural space' where walking flows to the market and various events are concentrated. Three specific design strategies to balance these values were presented. First, to prevent indiscriminate occupation and damage by people and maintain a healthy green environment, securing the maximum amount of undivided green space in the site was suggested. Second, a space layout and a topography and planting patterns that can overcome the morphological characteristics of narrow and long-shaped sites enable the experience of abundant green spaces. Third, providing space to strengthen the connections with nearby urban facilities such as Sinmae Market and Gosan Library can also intensively accommodate cultural activities in various cities. This study has academic significance in providing implications for urban regeneration projects with similar contexts in the future.

• Fashion & Textile Research Journal
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• v.24 no.6
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• pp.667-685
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• 2022

This paper aims to investigate 4D printing materials for soft robots. 4D printing is a targeted evolution of the 3D printed structure in shape, property, and functionality. It is capable of self-assembly, multi-functionality, and self-repair. In addition, it is time-dependent, printer-independent, and predictable. The shape-shifting behaviors considered in 4D printing include folding, bending, twisting, linear or nonlinear expansion/contraction, surface curling, and generating surface topographical features. The shapes can shift from 1D to 1D, 1D to 2D, 2D to 2D, 1D to 3D, 2D to 3D, and 3D to 3D. In the 4D printing auxetic structure, the kinetiX is a cellular-based material design composed of rigid plates and elastic hinges. In pneumatic auxetics based on the kirigami structure, an inverse optimization method for designing and fabricating morphs three-dimensional shapes out of patterns laid out flat. When 4D printing material is molded into a deformable 3D structure, it can be applied to the exoskeleton material of soft robots such as upper and lower limbs, fingers, hands, toes, and feet. Research on 4D printing materials for soft robots is essential in developing smart clothing for healthcare in the textile and fashion industry.

• Archives of design research
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• v.19 no.2 s.64
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• pp.53-62
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• 2006

E-mail has indeed developed from 'a means of instant communication' to an indispensable part of online marketing. Therefore, companies need to implement consistent customer management. Communication with customers and marketing through e-mail is a powerful way of communication and adapting one-to-one marketing strategies to customer trends, habits and taste preferences. Since setting accurate targets is especially important in the fashion industry, e-mail marketing is the most effective way to communicate with customers and one-to-one marketing constitutes a very important strategy. In this study, I will analyze this powerful one-on-one marketing tool, particularly actual e-mail messages sent by an Internet Shopping Mall from June 12 to July 30, 2005, examine the effect of these messages on sales growth and analyze actual feedback received. Regarding e-mail read rates broken down by age and gender, 1 found that females in their late twenties recorded the highest rate at 21.66% and their contribution to sales growth was recorded at 3.5% From actual sales records, found that 28.10% of total sales were attributable to people in their late twenties, showing that the age group that reads e-mails the most also buys the most. Regarding feedback by e-mail title, e-mails from the 'Casual' category seemed to be the most effective, in that most of these e-mails were read. Also, messages sent on Tuesdays were read the most, according to the feedback analysis by weekday. Section e-mails were read more often than regular e-mails. Regarding the view rate according to the time e-mails were sent, messages sent to females in their late twenties at two o'clock in the afternoon were read by 20.93% of recipients, recording the highest read rate. By offering informative content and practical tips, visitors will be attracted to the site and generate site traffic. Therefore, we can conclude that sending e-mail messages can greatly contribute to sales growth and e-mail marketing is very effective. Also, in order to make e-mail campaigns more effective and improve marketing results, we need to analyze actual results and apply our findings in future e-mail campaigns. With this, we get successful marketing results.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.3
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• pp.70-82
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• 2023

The recent surge of IT and data acquisition is shifting the paradigm in all aspects of life, and these advances are also affecting academic fields. Research topics and methods are being improved through academic exchange and connections. In particular, data-based research methods are employed in various academic fields, including landscape architecture, where continuous research is needed. Therefore, this study aims to investigate the possibility of developing a landscape preference evaluation and prediction model using machine learning, a branch of Artificial Intelligence, reflecting the current situation. To achieve the goal of this study, machine learning techniques were applied to the landscaping field to build a landscape preference evaluation and prediction model to verify the simulation accuracy of the model. For this, wind power facility landscape images, recently attracting attention as a renewable energy source, were selected as the research objects. For analysis, images of the wind power facility landscapes were collected using web crawling techniques, and an analysis dataset was built. Orange version 3.33, a program from the University of Ljubljana was used for machine learning analysis to derive a prediction model with excellent performance. IA model that integrates the evaluation criteria of machine learning and a separate model structure for the evaluation criteria were used to generate a model using kNN, SVM, Random Forest, Logistic Regression, and Neural Network algorithms suitable for machine learning classification models. The performance evaluation of the generated models was conducted to derive the most suitable prediction model. The prediction model derived in this study separately evaluates three evaluation criteria, including classification by type of landscape, classification by distance between landscape and target, and classification by preference, and then synthesizes and predicts results. As a result of the study, a prediction model with a high accuracy of 0.986 for the evaluation criterion according to the type of landscape, 0.973 for the evaluation criterion according to the distance, and 0.952 for the evaluation criterion according to the preference was developed, and it can be seen that the verification process through the evaluation of data prediction results exceeds the required performance value of the model. As an experimental attempt to investigate the possibility of developing a prediction model using machine learning in landscape-related research, this study was able to confirm the possibility of creating a high-performance prediction model by building a data set through the collection and refinement of image data and subsequently utilizing it in landscape-related research fields. Based on the results, implications, and limitations of this study, it is believed that it is possible to develop various types of landscape prediction models, including wind power facility natural, and cultural landscapes. Machine learning techniques can be more useful and valuable in the field of landscape architecture by exploring and applying research methods appropriate to the topic, reducing the time of data classification through the study of a model that classifies images according to landscape types or analyzing the importance of landscape planning factors through the analysis of landscape prediction factors using machine learning.

• Journal of Life Science
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• v.27 no.11
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• pp.1331-1339
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• 2017

DNA barcoding is the identification of a species based on the DNA sequence of a fragment of the cytochrome C oxidase subunit I (COI) gene in the mitochondrial genome. It is widely applied to assist with the sustainable development of fishery-product resources and the protection of fish biodiversity. This study attempted to verify horse-head fish (Branchiostegus japonicus) and fake horse-head fish (Branchiostegus albus) species, which are commonly consumed in Korea. For the validation of the two species, a real-time PCR method was developed based on the species' mitochondrial DNA genome. Inter-species variations in mitochondrial DNA were observed in a bioinformatics analysis of the mitochondrial genomic DNA sequences of the two species. Some highly conserved regions and a few other regions were identified in the mitochondrial COI of the species. In order to test whether variations in the sequences were definitive, primers that targeted the varied regions of COI were designed and applied to amplify the DNA using the real-time PCR system. Threshold-cycle (Ct) range results confirmed that the Ct ranges of the real-time PCR were identical to the expected species of origin. Efficiency, specificity and cross-reactivity assays showed statistically significant differences between the average Ct of B. japonicus DNA ($21.85{\pm}3.599$) and the average Ct of B. albus DNA ($33.49{\pm}1.183$) for confirming B. japonicus. The assays also showed statistically significant differences between the average Ct of B. albus DNA ($22.49{\pm}0.908$) and the average Ct of B. japonicus DNA ($33.93{\pm}0.479$) for confirming B. albus. The methodology was validated by using ten commercial samples. The genomic DNA-based molecular technique that used the real-time PCR was a reliable method for the taxonomic classification of animal tissues.

• Korean Journal of Heritage: History & Science
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• v.46 no.4
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• pp.48-63
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• 2013

The results of the study on the space planning and landscape design of Unjoru(雲鳥樓) through the 'Jeolla Gurye Omidong Gado(全羅求禮五美洞家圖)' drawn using GyeHwa(界畵) technique are as follows. First, 'Omidong Gado' is believed to date back to the period when Unjoru(1776~1783) was established for the following reasons: (1) The founder, Yoo-IJu(柳爾?), sent the drawing for the house while he was serving as the governor of YongCheon county(龍川府史). (2) It shows the typical dwelling houses' space division and its location is in a good spot with mountain in the back and water in front(背山臨水) and there is every indication of scheme drawing. (3) Front gate was changed and remodeled to a lofty gate in 1804. Second, Nogodan & Hyeongjebong of Jiri Mountain sit at the back of Unjoru, and faces Obong mountain and Gyejok mountain. In addition, the Dongbang stream flowing to the east well illustrates the Pungsu theory of mountain in the back and water in the front. Third, the house is structured in the shape resembling the character 品, divided into 5 areas by hierarchical order in the cross line from all directions. The site, which includes the outdoor yard and the back garden, consists of 5 blocks, 6 yards and 2 gardens. Fourth, the outdoor yard with aesthetical value and anti-fire function, is an ecological garden influenced by Confucianism and Taoism with a pond (BangJiWonDo Type, 方池圓島形) at the center. Fifth, the Sarang yard(舍廊庭) is decorated with terrace garden and flower garden, and the landscaping components such as oddly shaped stone, crane, plum, pine tree, tamarisk tree and flowering plants were used to depict the ideal fairy land and centrally placed tree for metaphysical symbolism. The upper floor of Sarangchae commands distant and medium range view, as well as upwards and downwards. The natural landscape intrudes inside, and at the same time, connects with the outside. Sixth, pine forest over the northern wall and the intentionally developed low hill are one of the traditional landscaping techniques that promotes pleasant residential environment as well as the aesthetics of balanced fullness.

• Journal of Intelligence and Information Systems
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• v.27 no.4
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• pp.23-48
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• 2021

The Korean economy has achieved continuous economic growth for the past several decades thanks to the government's export strategy policy. This increase in exports is playing a leading role in driving Korea's economic growth by improving economic efficiency, creating jobs, and promoting technology development. Traditionally, the main factors affecting Korea's exports can be found from two perspectives: economic factors and industrial structural factors. First, economic factors are related to exchange rates and global economic fluctuations. The impact of the exchange rate on Korea's exports depends on the exchange rate level and exchange rate volatility. Global economic fluctuations affect global import demand, which is an absolute factor influencing Korea's exports. Second, industrial structural factors are unique characteristics that occur depending on industries or products, such as slow international division of labor, increased domestic substitution of certain imported goods by China, and changes in overseas production patterns of major export industries. Looking at the most recent studies related to global exchanges, several literatures show the importance of cultural aspects as well as economic and industrial structural factors. Therefore, this study attempted to develop a forecasting model by considering cultural factors along with economic and industrial structural factors in calculating the import volume of each country from Korea. In particular, this study approaches the influence of cultural factors on imports of Korean products from the perspective of PUSH-PULL framework. The PUSH dimension is a perspective that Korea develops and actively promotes its own brand and can be defined as the degree of interest in each country for Korean brands represented by K-POP, K-FOOD, and K-CULTURE. In addition, the PULL dimension is a perspective centered on the cultural and psychological characteristics of the people of each country. This can be defined as how much they are inclined to accept Korean Flow as each country's cultural code represented by the country's governance system, masculinity, risk avoidance, and short-term/long-term orientation. The unique feature of this study is that the proposed final prediction model can be selected based on Design Principles. The design principles we presented are as follows. 1) A model was developed to reflect interest in Korea and cultural characteristics through newly added data sources. 2) It was designed in a practical and convenient way so that the forecast value can be immediately recalled by inputting changes in economic factors, item code and country code. 3) In order to derive theoretically meaningful results, an algorithm was selected that can interpret the relationship between the input and the target variable. This study can suggest meaningful implications from the technical, economic and policy aspects, and is expected to make a meaningful contribution to the export support strategies of small and medium-sized enterprises by using the import forecasting model.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.55-72
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• 2021

This study aims to research the influences of the discrimination of internet media and one-person media environment, especially, the one-person media creators leading the mobile media that could be accessed and viewed anywhere, on the user attitude and continuous subscription intention. Especially, this study aimed to understand the current situation of one-person media market represented as YouTube, to explore the relationship and ecology between each subject and elements composing the media market, and also to understand the mediating effects of the characteristics of YouTube creators on the relation between contents involvement and user attitude, and the relation between user attitude and subscription intention, and the mediating effects of contents involvement on the relation between characteristics of creators and user attitude. As research methods, first, for the theoretical establishment, this study collected, conducted, and organized the published domestic/foreign theses/journal papers. For the objective validity and verification of the established research model, a survey was conducted targeting adult men and women currently watching YouTube, and then the empirical analysis was performed through the final effective samples. And the results of this study are as follows. First, the playfulness and reliability on the relation between characteristics of creators and contents involvement were not significant while the professionalism was significant. Second, the professionalism on the relation between characteristics of creators and user attitude was not significant while the playfulness and reliability were significant. Third, the relation between contents involvement and user attitude was significant. Fourth, the relation between user attitude and subscription intention was also significant. Also, in the results of verifying the mediating effects of contents involvement, the contents involvement completely mediated the relation between characteristics(playfulness, reliability, and professionalism) of creators and user attitude. And in the conclusion, this study presented the implications and suggestions for further researches in the future.