• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2002년도 하계학술대회 논문집 D
• /
• pp.2086-2088
• /
• 2002

This paper deals with an algebraic approach for unknown inputs observer by using Haar functions. In the algebraic UIO(unknown input observer) design procedure, coordinate transformation method is adopted to derive the reduced order dynamic system which is decoupled unknown inputs and Haar function and its integral operational matrix is applied to avoid additional differentiation of system outputs.

• Journal of the Korean Statistical Society
• /
• 제5권2호
• /
• pp.101-107
• /
• 1976

One of the important properties of a 'good' response surface design is that the design should be insensitive to wild observations. In this note, a measure of sensitivity to wild observations is studied. It is shown that designs are made robust to wild observations by making $Tr[X'X)^{-1}M]$ small where M is a moment matrix over some region of interest. The proposed criterion is compared with that suggested by Box and Draper. Some about robust two-variable response surface designs are given.

• 한국콘텐츠학회논문지
• /
• 제18권10호
• /
• pp.431-442
• /
• 2018

2차원 바코드인 QR코드는 사진, 동영상, 지도, 명함 등 다양한 정보를 더 편리하게 담아낼 수 있다. 현재 스마트 폰의 보급으로 QR코드는 다양한 인쇄 매체에 인쇄하여 연결된 인터넷 정보를 손쉽게 검색하는 수단으로 활용되고 있다. 그러나 QR코드는 정보보안이 용이하지 않아, 결재시스템에 활용하기에는 매우 제한적이다. 본 논문에서는 기존의 QR코드와 컬러 도안을 결합하여 새로운 코드를 설계하여, 제품 인증 시스템이 요구되는 분야에 활용할 수 있는 방안을 제안한다. 제안한 방법은 CMYK 컬러 모델로 인쇄된 정품은 전자기기에서 RGB 컬러 모델로 캡처되며, 이때 컬러의 왜곡이 발생하게 되는데, 이를 컬러 매트릭스를 통해 측정하고, 통계 특성에 기초한 정품 인증시스템을 제안한다. 다양한 종류의 컬러 코드를 통해 본 논문에서 제안한 방법이 제품 인증 시스템에 효과적으로 사용될 수 있음을 보인다.

• 한국정보시스템학회지:정보시스템연구
• /
• 제29권3호
• /
• pp.237-251
• /
• 2020

Purpose The research was studied the hierarchical Hangul emotion index by organizing all the emotions which SNS users are thinking. As a preliminary study by the researcher, the English-based Plutchick (1980)'s emotional standard was reinterpreted in Korean, and a hashtag with implicit meaning on SNS was studied. To build a multidimensional emotion dictionary and classify three-dimensional emotions, an emotion seed was selected for the composition of seven emotion sets, and an emotion word dictionary was constructed by collecting SNS hashtags derived from each emotion seed. We also want to explore the priority of each Hangul emotion index. Design/methodology/approach In the process of transforming the matrix through the vector process of words constituting the sentence, weights were extracted using TF-IDF (Term Frequency Inverse Document Frequency), and the dimension reduction technique of the matrix in the emotion set was NMF (Nonnegative Matrix Factorization) algorithm. The emotional dimension was solved by using the characteristic value of the emotional word. The cosine distance algorithm was used to measure the distance between vectors by measuring the similarity of emotion words in the emotion set. Findings Customer needs analysis is a force to read changes in emotions, and Korean emotion word research is the customer's needs. In addition, the ranking of the emotion words within the emotion set will be a special criterion for reading the depth of the emotion. The sentiment index study of this research believes that by providing companies with effective information for emotional marketing, new business opportunities will be expanded and valued. In addition, if the emotion dictionary is eventually connected to the emotional DNA of the product, it will be possible to define the "emotional DNA", which is a set of emotions that the product should have.

• 한국건설관리학회논문집
• /
• 제14권2호
• /
• pp.150-159
• /
• 2013

정부는 장기적인 관점에서 해외건설사업의 활성화와 수주 경쟁력 강화에 주력하고 있다. 최근에는 단순 도급공사 뿐만 아니라, 설계 및 엔지니어링, 건설사업관리(CM)) 사업의 해외진출 역시 점진적으로 늘어나는 추세이다. 하지만 현재까지 해당 분야에 대한 리스크 분석 사례는 미미한 실정이다. 이에 본 연구에서는 참여주체 별 해외건설공사 리스크에 대한 비교분석을 위하여 리스크를 계층화하고, 도출 된 리스크요인에 대하여 PI척도를 활용한 전문가 대상 설문을 실시하여 그 특징을 비교하여 보았다. 본 연구의 결과로써, 해외건설 국가리스크를 총 6 Section, 31개의 요소로 계층화 하였고, 이를 기초로하여 참여주체 별 중요도를 도출하였다, 또한 Risk Matrix에 따라 시공사 17개, 설계사 14개, CM사 17개의 핵심리스크 요인을 선정하고 이를 비교 분석 하였다. 본 연구 결과는 향후 건설사업 참여주체 별 사업 특성에 맞는 리스크관리전략 수립 및 평가모델 구축을 위한 기초자료로 활용 가능할 것으로 기대된다.

• 인터넷정보학회논문지
• /
• 제14권2호
• /
• pp.25-34
• /
• 2013

본 논문에서는 워크플로우 기반 인적 자원의 소속성 분석을 위한 업무-수행자 이분 행렬 생성 알고리즘을 제안한다. 워크플로우 기반 인적 자원은 워크플로우 관리 시스템에 의해 관리되는 조직의 모든 수행자들을 말하며, 워크플로우 모델의 실행 과정에서 특정 업무 집합에 참여하게 된다. 이러한 워크플로우 모델에 정의된 수행자들과 업무들과의 소속성을 나타내는 소셜 네트워크를 업무-수행자 소속성 네트워크라 정의하였으며, 본 논문에서 제안하는 알고리즘은 워크플로우 모델로부터 발견된 업무-수행자 소속성 네트워크 모델(APANM)에 대한 이분 행렬을 생성하기 위한 알고리즘이다. 결론적으로, 알고리즘에 의해 생성된 업무-수행자 이분 행렬은 중심성(centrality), 밀집도(density), 상관 관계(correlation)와 같은 다양한 소셜 네트워크 관련 속성들을 분석하는데 적용될 수 있으며, 이를 통해 워크플로우 기반 인적 자원의 소속성에 대한 유용한 지식을 획득할 수 있다.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권8호
• /
• pp.715-721
• /
• 2020

This paper aims to investigate the factors affecting the quality of rural labor in Vietnam, a case study in Thai Nguyen province. For this purpose, we establish an integrated framework of factors affecting the quality of rural labor. We use Fuzzy analytic hierarchy process (Fuzzy-AHP) to assess the weight of the criteria and sub-criteria of rural labor quality. This method introduced by Saaty (1987) is a useful tool to cope with the complexity of decision-making. The Fuzzy-AHP is one of the most common Multi-Criteria Decision-Making instruments for dealing with quantifiable and intangible criteria, which reflect the relative importance of the alternatives based on constructing a pairwise comparison matrix. The results show that the four most weighted factors are institutions, local government policies, technical qualifications, and mentality. In particular, the weight of the institution is the largest (0.2343), meaning that this factor is the most important one affecting the quality of rural labor in Thai Nguyen province. The weight of local government policy is close to that of institution, about 0.2259. The weights of technical qualification and mentality are 0.1238 and 0.1135, respectively. In addition, age and education levels do not significantly affect the rural labor quality of Thai Nguyen province.

• Journal of Information Processing Systems
• /
• 제17권5호
• /
• pp.918-932
• /
• 2021

Evaluation of the collaboration of the upstream and downstream enterprises in the manufacturing supply chain is important to improve their synergistic effect. From the supply chain perspective, this study establishes the evaluation model of the manufacturing enterprise collaboration on the basis of fuzzy entropy according to synergistic theory. Downstream enterprises carry out coordinated capital, business, and information flows as subsystems and research enterprises as composite systems. From the three subsystems, the collaboration evaluation index is selected as the order parameter. The compound fuzzy matter-element matrix is established by using its improved algorithm. Subordinate membership and standard deviation fuzzy matter-element matrixes are constructed. Index weight is determined using the entropy weight method. The closeness of each matter element is then calculated. Through a representative of the home appliance industry, namely, Gree Electric Appliances Inc. of Zhuhai, empirical analysis of data in 2011-2017 from the company and its upstream and downstream enterprise collaboration shows a good trend, but the coordinated development has not reached stability. Gree Electric Appliances Inc. of Zhuhai need to strengthen the synergy with upstream and downstream enterprises in terms of cash, business, and information flows to enhance competitiveness. Experimental results show that this method can provide precise suggestions for enterprises, improve the degree of collaboration, and accelerate the development and upgrading of the manufacturing industry.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권5호
• /
• pp.913-921
• /
• 2021

The objective of the study is to investigate the impact of the COVID-19 pandemic on Saudi Arabia stock market. The study relied on the data of the daily closing stock market price index Tadawul All Share Index (TASI), and the number of daily cases infected with COVID-19 during the period from March 15, 2020, to August 10, 2020. The study employs the Vector Auto-Regressive (VAR) model, the Impulse Response Function (IRF) and Autoregressive Conditional Heteroscedasticity (ARCH) models. The results of the correlation matrix and the Impulse Response Function (IRF) show that stock market returns responded negatively to the growth in COVID-19 infected cases during the pandemic. The results of ARCH model confirmed the negative impact of COVID-19 pandemic on KSA stock market returns. The results also showed that the negative market reaction was strong during the early days of the COVID-19 pandemic. The study concluded that stock market in KSA responded quickly to the COVID-19 pandemic; the response varies over time according to the stage of the pandemic. However, the Saudi government's response time and size of the stimulus package have played an important role in alleviating the impacts of the COVID-19 pandemic on Saudi Arabia Stock Market.

• 기술경영경제학회:학술대회논문집
• /
• 기술경영경제학회 1996년도 제10회 동계학술발표회 논문집
• /
• pp.265-295
• /
• 1996

This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol′s performance using data on the 50 largest chaebols in Korea. In addition to the traditional indexes to measure diversification such as entropy index we calculated inter-industry technological similarity using R&D expenditure data by industry and 1990 Input-output Table in Korea, and obtained chaebol-level technological relatedness and internal transaction proportion from chaebols′business profile, inter-industry technological similarity and 1990 input-output table. We applied factor analysis on 13 business portfolio property indexes and showed that they could be grouped into 3 dimensions, diversification scope, inter-business relatedness and degree of vertical integration. In this paper, using 50 largest chaebols′financial data (1989-1994), we analyzed empirically the effect of business portfolio properties on ROS (Return On Sales) which is conventional index for firm performance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness is not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI (Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and f[ are significant and positively related to the deepened variable. Third, the interaction term between TR and VI is significant and negatively affects TFP growth, meaning that TR and VI are substitutes. These results suggest strategic directions on restructuring business portfolio. As VI is increased, chaebols will get more profit. A higher level of either TR or W will increase TFP growth rate. but increase in both TR and VI will have a negative effect on TFP growth. To summarize, certain business portfolio properties such as VI and TR can be considered "resources" themselves since they can affect profit rate and productivity growth. VI and TR have a synergy effect of change in profit rate and productivity growth. VI increases ROS and productivity growth, while TR increases productivity growth representing a technological synergy effect.