• 산업공학
• /
• 제21권2호
• /
• pp.177-188
• /
• 2008

Recently, due to emerging technologies such as radio frequency identification(RFID), global positioning system(GPS), and wireless mobile communication technologies, it is possible to build up the infrastructure for tracking and tracing product logistics data at any place and at any time. However, for implementing the infrastructure, it is necessary to develop a suitable management method for product logistics data. To this end, this study deals with a resource description framework(RDF) based modeling and application method for product logistics data in the ubiquitous environment. It will give us the capability to control product logistics data, which leads to streamline logistics operations.

• 한국농공학회논문집
• /
• 제54권2호
• /
• pp.7-14
• /
• 2012

To analyze any given situation, it is necessary to have information on elements which affect the situation. Particularly, there is greater variability in both frequency and magnitude of agricultural product prices as they are affected by various unpredictable factors such as weather conditions etc. This is the reason why it is difficult for the farmers to maintain their stable income through agricultural production and marketing. In this research, attempts are made to quantify the entropy of various situations inherent in the price changes so that the stability of farmers' income can be increased. Through this research, we developed an entropy model which can quantify the uncertainties of price changes using the probability distribution of price changes. The model was tested for its significance by comparing its simulation outcomes with actual ranges and standard deviations of price variations of the past using monthly agricultural product prices data. We confirmed that the simulation results reflected the features of the ranges and standard deviations of actual price variations. Also, it is possible for us to predict standard deviations for changed prices which will occur after a certain time using the information entropy obtained from relevant agricultural product price data before the time.

• Journal of the Korean Data and Information Science Society
• /
• 제10권1호
• /
• pp.47-56
• /
• 1999

In this paper, for whole line ($0,\;{\infty}$), the estimation procedure of mean residual life function using product-limit estimator is studied with asymptotic properties. And also, the small sample properties of proposed estimator of MRLF are investigated through Monte Carlo study and compared with Kaplan-Meier type estimator.

• 해양환경안전학회지
• /
• 제20권1호
• /
• pp.113-119
• /
• 2014

우리 해군은 함정 제품모델(Naval Ship Product Model, NSPM)을 중심으로 하는 협업 제품개발 환경 구축을 통해 설계 데이터의 재사용성과 M&S의 활용도를 높이고 있다. 그 결과 설계결과의 신뢰성이 높아지고 있으며, 이를 활용한 운영, 건조 시뮬레이션을 통해 소요군의 요구사항이 면밀히 반영되도록 하는 연구도 진행 중에 있다. 이에 따라 설계 데이터의 DB 구축 및 그 품질에 대한 중요성이 부각되고 있으나, 그와 관련된 연구는 초기상태에 머물러 있는 실정이다. 본 연구에서는 저자들의 선행연구 결과인 함정 제품모델의 품질검증 방법론에 기초하여 함정 제품모델을 구성하고 있는 형상요소의 구체적인 품질검증 방안과 이를 자동화하기 위한 연구를 수행하였다. 함정 제품모델 데이터 중 상대적으로 중요하며, 검증과정에 많은 시간이 소요되고 있는 선각모델을 사례연구 대상으로 정의하였으며, 자동차산업에서 사용되고 있는 제품데이터품질(Product Data Quality, PDQ)을 형상검증 기준으로 활용하였다. 최종적으로 선각모델의 형상 품질검증을 위한 기준과 알고리즘을 제안하였으며 이에 기반 한 초기 시스템을 개발하였다.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권3호
• /
• pp.1275-1286
• /
• 2021

The purpose of this study is to employ the theory of consumption value and consumers' innovative personality characteristics to explain the adoption of new personal electronics devices in Vietnamese market. This study adapts a quantitative survey-based approach to test hypotheses about relationship between consumption value, product specific innovativeness and new product adoption. The study uses a quantitative data set of 915 consumers who owned one mobile electronic device at least in Ho Chi Minh city, one of the biggest cities of Vietnam. The data was collected through personal interview and convenient sampling method. The conceptual model was tested using PLS structural equation model. The findings of this study suggest that both consumption value and product specific innovativeness influence the adoption of new electronic products. The results also reveal that product specific innovativeness mediates the relationship between consumption value and new product adoption. The study further identified that consumption value was taken as a second-order multidimensions construct with five components, namely functional value, epistemic value, economic value, social value and emotional value. As a result, the research suggests some implications to enhance marketers' capabilities to develop strategies for launching new hi-tech products in an emerging market as Vietnam.

• 산업공학
• /
• 제10권3호
• /
• pp.23-31
• /
• 1997

Exchange of product model data becomes a key issue in the globalized enterprise environment. Sharing heterogeneous information resides in diverse information resources is not easy. To share automotive product information among different organizations, a reliable neutral information standard and communication methods are needed. World wide sharing of automotive product information can be implemented based on the STEP AP214, the standard for exchange of automotive product model through its whole life cycle. This paper suggests an automotive PDM implemented on the internet and based on the STEP AP214. Physical files containing design data can be shared on the internet using JAVA applets and VRML.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제5권3호
• /
• pp.268-273
• /
• 2005

We propose the specialized product-line development methodology for developing the embedded system of an MSDFS (Multi Sensor Data Fusion System : called MSDFS). The product-line methodology provides a simultaneous design between software and hardware, high level reusability. However this is insufficient in requirement analysis stage due to be focused on software architecture, detailed design and code. Thus we apply the business model based on IDEF0 technique to traditional methodology. In this paper, we describe the processes of developing Core-Asset, which are requirement analysis, feature modeling, validation. The proposed model gives the efficient result for eliciting features, and ensures the high level reusability of modules performing on embedded system.

• ETRI Journal
• /
• 제46권4호
• /
• pp.633-647
• /
• 2024

In e-commerce platforms, sentiment analysis on an enormous number of user reviews efficiently enhances user satisfaction. In this article, an automated product recommendation system is developed based on machine and deep-learning models. In the initial step, the text data are acquired from the Amazon Product Reviews dataset, which includes 60 000 customer reviews with 14 806 neutral reviews, 19 567 negative reviews, and 25 627 positive reviews. Further, the text data denoising is carried out using techniques such as stop word removal, stemming, segregation, lemmatization, and tokenization. Removing stop-words (duplicate and inconsistent text) and other denoising techniques improves the classification performance and decreases the training time of the model. Next, vectorization is accomplished utilizing the term frequency-inverse document frequency technique, which converts denoised text to numerical vectors for faster code execution. The obtained feature vectors are given to the modified convolutional neural network model for sentiment analysis on e-commerce platforms. The empirical result shows that the proposed model obtained a mean accuracy of 97.40% on the APR dataset.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2001년도 춘계학술대회 논문집
• /
• pp.414-417
• /
• 2001

In today's engineering world, any product development activity requires the expertise and the interaction of many different engineering. Therefore the various activities in a product development architecture are highly distributed and interdependent. The interdependence may be due to sharing of databases and transfer of information between various activities. This will require an integrated product model. That can support distributed design such that participants from different backgrounds collaborate towards one common goal. This paper presents the architecture of the product modeling system for the integration of CAD and CAE. It then reports on the study of STEP 10303 and UG open API focused on the integration of different technical environments.

• 복식문화연구
• /
• 제12권4호
• /
• pp.566-578
• /
• 2004

The purposes of this study were to identify the dimensions of advertising evaluation and to examine the influence of advertising evaluation on advertising attitude and buying intension. Also this study categorized the advertising responses. Through the pretest, 15 casual wear brand＇s advertisements were selected and presented as stimuli. The data was collected from 377 female university students using questionnaire and analyzed by descriptive statistics, factor analysis and multiple regression fer path analysis. The results of This study were as follows. First, 5 factors were identified for the dimensions of advertising evaluation: model/message/product/brand/tone ＆ manner. Second, through the path analysis, advertising evaluation had direct and indirect influences on buying intension. The influences of dimensions of advertising evaluation on buying intension were also examined: model, message and product had indirect influence on buying intension mediated by advertising attitude, whereas product and brand had direct influence on buying intension. Especially, product affected considerably on buying intension. Third, advertising responses were categorized into five dimensions: tone ＆ manner/model/message/product/brand.