• The Microorganisms and Industry
• /
• v.17 no.3
• /
• pp.68-75
• /
• 1991

김치란 상품의 가치를 유지하기 위하여서는 지금까지 시도된 물리, 화학적 방법만으로는 성공적이 될 수 없다. 그 중요한 이유 중의 하나는 고유한 우리 김치의 풍미를 만들어내는 주된 유산균은 어떤 종이며 그 특성이 무엇인가가 밝혀지지 않았기 때문이다. 시행착오적인 물리, 화학적 처리 방법의 도입으로 인하여 고유의 윤산균이 증식하지 못한다면 김치의 고유성을 상실할 수 있기 때문이다. 결국 김치의 산패와 연부는 시간이 경과됨에 따라서 군집제어적으로 일어나며 그 고유성과 풍미를 유지하기 위하여 새로운 도태압의 개념이 도입되어야 할 것이다. 김치의 미생물생태에 대한 연구가 거의 없으므로 본 절에서는 필자의 연구실에서 진행되고 있는 배추김치의 미생물에 대한 연구내용을 요약하여 소개하고자 한다.

• Journal of the Economic Geographical Society of Korea
• /
• v.26 no.1
• /
• pp.1-22
• /
• 2023

This study proposes an integrated use of region and industry as a way to classify firms' innovation activities by type. Existing studies have used the method of determining innovative activities according to the components of the technological regimes and aggregating them by industry classification, but this method cannot fully reflect the heterogeneity within industries in an increasingly sophisticated innovation environment. Therefore, this study divides firms by region and industry and conducts a cluster analysis on the proportion of innovative activities by the components of the technological regimes to derive a total of four innovation types. Using the 2016 Korean Innovation Survey to classify innovation types in the manufacturing industry, we found that innovation activities are concentrated in Seoul, Busan, Incheon, and Chungnam/ Sejong/ Daejeon area, with different deviations by region and industry. The results of the aggregation of industrial innovation activities, weighted by corporate activity by region, show that the level of innovation activity in some manufacturing industries, such as petrochemicals, manufacturing of medical, precision and optical instruments, watches and clocks, is high, but the level of innovation in other sectors within the manufacturing industry is generally low.

• Culinary science and hospitality research
• /
• v.16 no.2
• /
• pp.232-242
• /
• 2010

The purpose of this study is to provide basic data for forthcoming liquor development and market diversification by finding out the consumers' characteristics related to their patterns of choosing liquor and identifying the liquor consuming patterns. For the study, a survey questionnaire was composed of 11 questions related to the considerations by the consumers in choosing liquor, 5 questions on their demographics, and 5 questions on the types of choosing liquor. The survey was conducted between October 21st and November 1st of 2007 to 400 adults over 19 years old residing in Korea, and then sorted out 377 out of 400 for the analysis. As for the analysis, frequency analysis, K-means clustering, and correspondence analysis were employed. In order to find out the choice considerations associated with the perception of liquor, consumers were divided into four equivalent groups, and liquor consuming patterns and demographics were investigated based on the empirical study.

• KIISE Transactions on Computing Practices
• /
• v.23 no.7
• /
• pp.434-439
• /
• 2017

More and more people are suffering from sleep disturbance, which can have many different causes. The healthcare industry, which can help people with this disability, is one technology that is currently in the spotlight. However, current services are vulnerable to data concentration, because they are simple telemedicine services that transmit all data to a remote server and process the data on the server. They have a disadvantage in that the data cannot be streamed in real time by synchronizing the biometric data of remotely protected persons. In order to solve this problem, we propose a service structure for streaming biometric data of protected persons to a hospital or guardian in real time, using a self-organizing distributed middleware platform without a central server. We prove that it is possible to provide an effective streaming service by evaluating the service start time and average delay time.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.23 no.7
• /
• pp.775-782
• /
• 2017

The position of existing patrol ships has been decided according to subjective judgments, not purely by any reasonable or scientific criteria, because of a lack of access to marine accident positions. In this study, the optimal location of patrol ships is quantitatively determined based on historical marine accident data. The study area used included the coastal sea of Pohang in South Korea. In this study, a k-means clustering algorithm was used to derive the location of patrol ships, and then a Voronoi diagram was used to divide the region around each patrol ship. As a result, the average navigation distance for patrol ships was improved by 4.4 nautical miles, and the average arrival time was improved by 13.2 minutes per marine accident. Moreover, if the locations of patrol ships need to be changed flexibly, it will be possible to optimally arrange limited resources using the technique developed in this study to ensure a fast rescue.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.32 no.5
• /
• pp.891-898
• /
• 2022

Along with global interest, drones are expanding the base of utilization such as transportation of goods, forest protection, and safety management, and cluster flights are being applied in various fields such as military operations and environmental monitoring. Currently, specialized networks such as e-UM 5G for services in specific industries are being established in Korea. In this regard, drone systems are also moving to establish specialized networks to provide services that are fused with AI and autonomous flight. As drones converge with various services, various security threats in various environments are also subordinated, and in response, requirements and guidelines for drone security are being prepared in Korea. In this paper, we propose a technology method for peer identification and safe information provision between cluster flight drones by utilizing a cryptographic module equipped with wireless LAN and quantum entropy-based random number generator in a cluster flight system and a mobile communication network such as e-UM 5G.

• The Korean Journal of Applied Statistics
• /
• v.36 no.5
• /
• pp.473-488
• /
• 2023

Gangwon-do is one of Korea's most popular tourist destinations, with varying tourism demands and trends across its subregions. It is crucial to identify the characteristics of tourism in each area and compare the tourism patterns over time to devise policies that revitalize tourism in each local government and promote balanced development across regions. In this paper, we classify the regions in Gangwon-do based on tourism data from the last four years and analyze the tourism pattern of each region using the non-Euclidean additive model proposed by Jeon et al. (2021). The model incorporates the proportions of visitors by age groups and the proportions of navigation searches by destination types as two covariates, and the proportions of tourism expenditure types as a response variable. We estimate the model using the smooth-backfitting method and coordinate-wise bandwidth selection. The results are visualized in ternary plots, and changes in tourism patterns over time are analyzed by comparing the ratios of prediction errors to fitting errors.

• Journal of Intelligence and Information Systems
• /
• v.15 no.4
• /
• pp.37-51
• /
• 2009

One of the critical issues in the management of manufacturing companies is the efficient process of planning and operating service resources such as human, parts, and facilities, and it begins with the accurate service demand forecasting. In this research, service and sales data from the LCD monitor manufacturer is considered for an empirical study on Product Life Cycle (PLC) based service demand forecasting. The proposed PLC forecasting approach consists of four steps : understanding the basic statistics of data, clustering models using a self-organizing map, developing respective forecasting models for each segment, comparing the accuracy performance. Empirical experiments show that the PLC approach outperformed the traditional approaches in terms of root mean square error and mean absolute percentage error.

• Journal of Korean Society of Transportation
• /
• v.20 no.5
• /
• pp.131-144
• /
• 2002

도로의 그룹핑(Grouping)이란 도고 계획, 설계, 관리, 조사 계획 및 정비 방침 등을 세우기 위해 유사한 성격의 도로 구간을 군집화하는 방법이다. 기존에 일반적으로 적용되고 있는 도로 그룹핑 방법은 그룹 수를 미리 지정함으써 분석가의 주관적 판단이 개입되었고, 그룹핑 변수 선정에 대한 근거가 부족하였다. 이에 본 연구에서는 기존에 일반적으로 적용되고 있는 도로 그룹핑 방법을 개선하여 새로운 방법론을 제시하였다. 또한 새로 제시된 방법론의 검증을 위해 도로 교통량 통계연보에서 제공하고 있는 일반국도의 2000년 294개 상시조사 지전의 교통량 자료를 이용하여 분석하였다. 연구 결과 기존의 월, 요일 변동계수만을 적용한 그룹핑 방법보다는 기타 교통지표(AADT, $\Sigma$K1000(K값의 상위 1000번 순위까지의 누적 값), 중차량 비율, 주야율)를 동시에 적용할 때 좀 더 효율적이면서 세부적으로 분류됨을 알 수 있었다. 또한 기타 교통지표론 적당한 그룹핑 결과로는 5그룹의 국도 기능 분류가 가능함을 알 수 있었다. 그 결과 기존의 소재지역과 기능에 따른 국토의 구분을 지방 산업도로 그룹, 지역 간선도로 그룹, 대도시 주변형 도로 그룹, 중소도시 주변형 및 관광도로 그룹, 관광도로 그룹으로 분류할 수 있었다. 본 연구에서의 도로 그룹핑 결과에 각 지역특성을 추가하여 분석한다면 도로의 계획, 선계, 관리 등에 매우 유용한 자료로 활용되리라 예상한다. 또한 본 연구의 결과를 이용하면 좀 더 효율적으로 설계시간계수 선정, 전역 조사 지점의 AADT추정, 상시 교통량 조사 자료의 누락 데이터 보정 및 교통량 조사의 스케줄링에 많이 활용할 수 있을 것으로 기대된다.

• The Journal of the Korea Contents Association
• /
• v.22 no.10
• /
• pp.723-732
• /
• 2022

The success of enterprise information system(EIS) is crucial to align with corporate strategies and eventually attain corporate goals. Since one of the factors to information system success is system use, managerial efforts to measure the level of EIS utilization is vital. In this paper, the EIS utilization level is analyzed using system access log data. In particular, process sequence patterns and clustering of similar functions are identified in more detail based on a process mining method, in addition to basic access log statistics. The result of this research can be used to improve existing information system design by finding real IS usage sequences and function clusters.