• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2002.05a
• /
• pp.520-523
• /
• 2002

지식 경영 시스템(KMS)이 기업 내 지적 자산의 관리 및 가치 재창출을 위한 새로운 조직 운영방식으로 인정됨에 따라, 어떠한 구조와 기준으로 조직에 적합한 기능을 선택하여 구성하는가에 대한 문제가 중요해지고 있다. 본 연구에서는 먼저 기존상용 KMS에 대한 유형을 분류하고, 기능을 추출하여 일반적인 KMS의 기능 리스트를 작성하였다. 이를 바탕으로 기존의 시스템에 대한 기능적인 특성을 비교 분석하였다.

• Proceedings of the Technology Innovation Conference
• /
• 2009.02a
• /
• pp.583-604
• /
• 2009

최근 제조 기업들의 가장 큰 화두 중 하나는 제품과 서비스의 통합이다. 그간 제품과 서비스 통합과 관련한 다양한 개념들이 제시되어 왔으나, 정의 및 유형에 대한 보편적인 프레임워크가 존재하지 않는다. 본 연구에서는 제품과 서비스의 통합에 관련된 다양한 개념들을 아우르는 포괄적인 용어 (umbrella term)로써 통합 제품-서비스(integrated product-service: IPS)를 제시한다. 기존 문헌 연구를 통해 IPS 관련 기존 개념들을 개괄하고, 이들을 Product/service fusion과 Product/service Convergence의 두 가지로 분류한다. 다음으로 IPS를 유형화하기 위한 분류체계(typology)로써 IPS 큐브(cube)를 제시한다. IPS 큐브는 통합의 형태(pattern), 원천(origin), 기술(technology)의 세 가지 차원으로 구성되며, 각 차원이 모두 세 가지 유형으로 구분되기 때문에, IPS 큐브는 27개의 셀로 이루어진 정육면체 형태를 띤다. 각 셀은 고유한 IPS 유형을 나타내며, 각 셀에 해당하는 실제 IPS 사례들이 제시된다. 본 연구에서 제시한 IPS 큐브는 유형별 IPS 개발을 위한 전략, 프로세스, 방법론을 개발하는데 있어서 유용한 시사점을 제공해줄 수 있다.

• KIPS Transactions on Software and Data Engineering
• /
• v.2 no.4
• /
• pp.291-302
• /
• 2013

Signage can be defined as the media device that provides specific information to many unspecified users in public places. Recently applied context-aware technology, signage provides personal on-demand information services in a way that can continue to evolve. The purpose of this study is to analyze characteristics of types which users identify signage on the perceptions and attitudes about consideration of the perspective of the experts in the fields. The research is carried out by applying Q methodology with in-depth interview. First, interviews are conducted to determine the perceptions and attitudes of experts and practitioners on signage. Thereafter users' perceptions and attitudes toward signage are classified by each types using Q methodology. The first type is named as 'signage as smart media', the second type is named as 'signage as passive media', and the third type is named as 'signage as interactive media' is named. The results of this study will be useful guidelines for conducting further academic researches and R&D.

• Journal of Cadastre & Land InformatiX
• /
• v.52 no.2
• /
• pp.153-169
• /
• 2022

With the extension of the average life span and the rapid aging of the population, defining elderly population as a single group is difficult as the physical, economic and social conditions of individual have become different. Therefore, policies that take into account the characteristics of each group are required. The purpose of this study is to classify individual travel types and to analyze the characteristics of each travel type, based on individual public transportation trajectory data as known as smart card data. Among the four classified types, the long-distance low-frequency stay type and the short-range medium-frequency mobile type show external activity traffic characteristics for retirement leisure, while the long-distance high-frequency stay type and the long-distance high-frequency mobile group include regular commuting. Traffic variability and residence areas of stay were identified in terms of each classified travel type. The results of this study provide the important suggestions for establishing a transportation policy that takes into account the characteristics of each type of elderly population in Seoul.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2022.07a
• /
• pp.169-172
• /
• 2022

재난안전 분야의 기술개발 동향을 파악하고 지적 관계를 분석하기 위한 연구에서 신뢰성과 최신성을 겸비한 학술정보를 활용하는 것은 매우 유용하다. 기존의 논문 기반 계량정보분석 연구에서는 관련 분야의 학술지와 키워드를 중심으로 분석 대상 논문을 선별하여 연구재료로 사용하였다. 본 논문에서는 재난안전 분야의 보다 세부적인 연구 특성 파악을 위해 국내 대학기관의 방재 및 안전공학 학과에 소속된 저자들의 논문 정보를 대상으로 기관식별, 학과유형 분류, 재난안전유형 분류. 표준산업분류를 매핑하고 주요 측면별로 분석 연구를 수행하였다. 분석 결과, 재난안전 분야 연구에서 저자소속 기관의 유형 및 지역적 분포, 공저 학과 유형의 구성, 재난안전유형 및 표준산업분류의 현황과 핵심 키워드가 자세히 파악되었다. 연구 결과는 향후 지능형 위기경보 체계 구축을 위한 재난유형별 주요 기관 및 전문가 식별과 추천에 활용이 기대된다.

• Proceedings of the Korean Society of Disaster Information Conference
• /
• 2022.10a
• /
• pp.187-188
• /
• 2022

물류센터의 유형별 산업재해 발생형태를 분류하여 대책을 수립함으로써 동종 및 유사 재해를 사전에 재해를 예방코자 한다. 국내물류센터에서 발생된 6년간의 유형별 발생형태를 세부적으로 분석하여 개선책을 수립하여 물류센터에서 발생한 산업재해 분석을 통해서 재해감소 방안을 모색할 수 있었다. 물류센터의 산업재해 분석을 통해서 재해감소 방안을 제시하므로써 물류센터의 재해율 감소에 도움이 될 것으로 기대된다.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.6 no.8
• /
• pp.491-498
• /
• 2016

This paper proposes a visualization method that expresses users' MBTI personality types based on the categorization method called 'Big Five Personality Traits' and their representative celebrities' facial images. This system has significance for visualizing traits from texts to images effectively. The entire system is composed of making backgrounds to represent traits of each MBTI category using 'Big Five Personality Traits' and showing facial images of celebrities with corresponding MBTI personality types. First, 'Big Five Personality Traits' classifies 16 MBTI types into four categories and each of category traits lays the foundation to make background using visual elements such as colors and lines. Second, celebrities' facial images are substituted for the corresponding literal explanation of each MBTI type. By adjusting the color saturation, users can distinguish relationship between the types intuitively. As a result, this system enables users to take information for their own / opposite / similar MBTI types simultaneously.

• The Journal of the Korea Contents Association
• /
• v.16 no.8
• /
• pp.1-9
• /
• 2016

In accordance with the increased political and social utilization of social media, demands on online trend analysis and monitoring technologies based on social bigdata are also increasing rapidly. In this paper, we define 'risk' as issues which have probability of turn to negative public opinion among big social issues and classify their types in details. To define risk types, we conduct a complete survey on news documents and analyzed characteristics according to issue domains. We also investigate cross-medias analysis to find out how different public media and personalized social media. At the result, we define 58 risk types for 6 domains and developed automatic classification model based on machine learning algorithm. Based on empirical experiments, we prove the possibility of automatic detection for social issue risk in social media.

• The KIPS Transactions:PartB
• /
• v.18B no.3
• /
• pp.147-156
• /
• 2011

This paper proposes a 3-stage (preprocessing, feature extraction, and classification) fault detection and classification algorithm for induction motors. In the first stage, a low-pass filter is used to remove noise components in the fault signal. In the second stage, a discrete cosine transform (DCT) and a statistical method are used to extract features of the fault signal. Finally, a back propagation neural network (BPNN) method is applied to classify the fault signal. To evaluate the performance of the proposed algorithm, we used one second long normal/abnormal vibration signals of an induction motor sampled at 8kHz. Experimental results showed that the proposed algorithm achieves about 100% accuracy in fault classification, and it provides 50% improved accuracy when compared to the existing fault detection algorithm using a cross-covariance method. In a real-world data acquisition environment, unnecessary noise components are usually included to the real signal. Thus, we conducted an additional simulation to evaluate how well the proposed algorithm classifies the fault signals in a circumstance where a white Gaussian noise is inserted into the fault signals. The simulation results showed that the proposed algorithm achieves over 98% accuracy in fault classification. Moreover, we developed a testbed system including a TI's DSP (digital signal processor) to implement and verify the functionality of the proposed algorithm.

• Journal of The Korean Association of Information Education
• /
• v.24 no.3
• /
• pp.225-232
• /
• 2020

This study is to clarify how college students think about quality computer classes. Q methodology is applied to extract the subjective thinking of college students. After extracting the statements through students' interviews and advanced study, the 54 Q samples were selected. The P sample consisted of 50 college students. They performed Q sort against the Q sample questionnaire. The Q sort results were analyzed by performing QUANL program. As a result of the analysis, four types of perceptions of quality computer classes based on college students' ideas were extracted. There were no differences between male and female students, but there was a clear difference between general college and teacher's college students by type. The types were divided into four categories which we named as follows: is 'Value change-oriented class through creative problem-solving', is 'Improving computer application skills through the learner's competition', is 'Improving advanced computer technology with programming skills' and is 'Learner centered pleasant class'.