• Industrial Engineering and Management Systems
• /
• v.14 no.1
• /
• pp.73-87
• /
• 2015

The development of a practical technology intelligence system requires a knowledge base that structures the core information and its relationship distilled from large volumes of technical data. Previous studies have mainly focused on the methodological approaches for technology opportunities, while little attention has been paid to constructing a practical knowledge base. Therefore, this study proposes a procedure to construct a function-based knowledge base for technology intelligence. We define the product-function-technology relationship and subsequently present the detailed steps for the knowledge base construction. The knowledge base, which is constructed analyzing 1110582 patents between 2009 and 2013 from the United States Patent and Trademark Office database, contains the functional knowledge of products and technologies and the relationship between products and technologies. This study is the first attempt to develop a large-scale knowledge base using the concept of function and has the ability to serve as a basis not only for furthering technology opportunity analysis methods but also for developing practical technology intelligence systems.

• ETRI Journal
• /
• v.31 no.2
• /
• pp.215-224
• /
• 2009

Analyzing the diffusion of a convergence product is a new and challenging research field. It is very difficult to find research dealing with this issue due to the inherent complexity and lack of data. In analyzing the diffusion of a convergence product, we should simultaneously take into account its relationship with related single-function products because of their similarities in terms of technology and functionality. In this study, we empirically analyze the diffusion of the convergence mobile phones in South Korea and find that the convergence products can affect the diffusion of MP3 players and digital cameras positively or negatively. This research may be significant for business strategies in technology management and product development.

• Journal of Technology Innovation
• /
• v.12 no.1
• /
• pp.67-114
• /
• 2004

This study attempts to integrate causal model with competitiveness evaluation model, both of which have developed independently of each other, in connection with many studies on PMES (performance measurement and evaluation system) including the BSC (balanced scorecard) of Kaplan and Norton (1992, 1996). For this attempt, this study is composed of four analyses : First, this study develops a structural model for evaluating and diagnosing corporate ‘comprehensive’ competitiveness including quality competitiveness, derive CCI (comprehensive competitiveness index) and QCI (quality competitiveness index) ; Second, this study analyzes the determinants of quality competitiveness, the impacts of quality competitiveness, on product design and product reliability, and the impacts of product design and product reliability on quality competitiveness in the comprehensive competitiveness evaluation model of this study. Third, this study empirically identifies the positioning of product design in the quality competitiveness evaluation model of this study and the functional relationship between product design and other functions : product development, manufacturing, marketing, and marketing, and sales in the same comprehensive competitiveness evaluation model, estimate the determinants of product design and its impacts, thereby providing some empirical findings for the foundation of design management theory, and Fourth, this study identifies the positioning of product reliability in the same quality competitiveness evaluation model, estimate the reliability function and the functional relationship between product reliability and other dimensions of product quality, and tests the hypotheses on the causality of product reliability.

• Journal of Technology Innovation
• /
• v.5 no.1
• /
• pp.249-265
• /
• 1997

With current difficulties in Korean agricultural sector, the biotechnology is considered as the most important factor to offset the inferiority in the agriculture. New products by using the biotechnology would be commercialized and consumed by both producers and consumers. Before its production and distribution, researches on new product should be undertaken in many aspects, especially in terms of economic aspects. Main objectives of this study are to measure the economic value of the new product using the agro-biotechnology, here potato microtubers, and to examine whether the stated peferences theory, the Contingent Valuation Method(CVM), could be accepted in the economic analysis for the new biotech product. Through the demand function derived from the consequences of functional relationship relationship, the consumer's surplus was estimated.

• Journal of Information Management
• /
• v.28 no.3
• /
• pp.1-20
• /
• 1997

It has been shown that there are four information demensions which have positive influence on perceived utility of information. Subsequently, I have investigated the antecedents of these four information dimensions. The quality of the relationship, interpersonal characteristics and interaction have positive influence on marketing information quality. In addition, Marketing personnel interpersonal characterstics have positive influence on relationship quality. Integration has positive influence on interaction between marketing personnel and R&D personnel. Finally, Organizational climate has positive influence on interpersonal characteristics and integration between marketing function and R&D function.

• Transactions of Materials Processing
• /
• v.4 no.3
• /
• pp.214-221
• /
• 1995

In the paper, we have proposed a new method to determine the initial billet for the forged products using a function approximation in the neural network. The architecture of neural network is a three-layer neural network and the back propagation algorithm is employed to train the network. By utilizing the ability of function approximation of a neural network, an optimal billet is determined by applying the nonlinear mathematical relationship between the aspect ratios in the initial billet and the final products. The amount of incomplete filling in the die is measured by the rigid-plastic finite element method. The neural network is trained with the initial billet aspect ratios and those of the unfilled volumes. After learning, the system is able to predict the filling regions which are exactly the same or slightly different to the results of finite element simulation. This new method is applied to find the optimal billet size for the plane strain rib-web product in cold forging. This would reduce the number of finite element simulation for determining the optimal billet size of forging product, further it is usefully adapted to physical modeling for the forging design.

• Journal of the Ergonomics Society of Korea
• /
• v.17 no.1
• /
• pp.47-54
• /
• 1998

Product design and development is very important process in enterprise activities. Reducing development time and reflecting consumer's needs is required to product design and development for increasing benefit and decreasing cost. Human sensibility ergonomics is one of the important technology of R&D in product development. However, the subjective method of human sensibility ergonomics has several problems to analyze and to Quantify experimental data and objective method of human sensibility ergonomics is still in process on study. In this research, new analyzing method is proposed for the subjective human sensibility ergonomics applied with fuzzy set theory. What is the useful theory for controlling uncertain type of information like human mind? This approach is more effective method for analyzing consumer's needs for product design and development process. At collecting needs, certainty scale is added for adapting hedge of fuzzy function. Using a kind of union operator, synthesize each item to analyze identification of each item with fuzzy hamming distance. Identification of analysis is classified with the relational weight using Relationship Chart Method, and is drawn the relationship diagram for clustering each item. A case study with sample test is conducted and demonstrated with this suggested method for more effective way.

• Proceedings of the Technology Innovation Conference
• /
• 1996.12a
• /
• pp.179-195
• /
• 1996

With current. difficulties in Korean agricultural sector, the biotecilnoiogy is considered as the most important factor to offset the inferiority in the agriculture. New products by using the biotechnology would be commercialized and consumed by both producers and consumers. Before its production and distribution researches on new product should be undertaken in many aspects, especially in terms of economic aspects. Main objectives of this study are to measure the economic value of the new product using the agro-biotechnology, here potato microtubers, and to examine whether the stated preferences theory, the Contingent Valuation Method(CVM), could be accepted in the economic analysis for the new biotech product. Through the demand function derived from the consequences of functional relationship, the consumer's surplus was estimated.

• IMMUNE NETWORK
• /
• v.23 no.1
• /
• pp.6.1-6.24
• /
• 2023

Intestinal microorganisms interact with various immune cells and are involved in gut homeostasis and immune regulation. Although many studies have discussed the roles of the microorganisms themselves, interest in the effector function of their metabolites is increasing. The metabolic processes of these molecules provide important clues to the existence and function of gut microbes. The interrelationship between metabolites and T lymphocytes in particular plays a significant role in adaptive immune functions. Our current review focuses on 3 groups of metabolites: short-chain fatty acids, bile acids metabolites, and polyamines. We collated the findings of several studies on the transformation and production of these metabolites by gut microbes and explained their immunological roles. Specifically, we summarized the reports on changes in mucosal immune homeostasis represented by the Tregs and Th17 cells balance. The relationship between specific metabolites and diseases was also analyzed through latest studies. Thus, this review highlights microbial metabolites as the hidden treasure having potential diagnostic markers and therapeutic targets through a comprehensive understanding of the gut-immune interaction.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
• /
• v.27 no.3
• /
• pp.203-210
• /
• 2021

With the development of package printing technology, the package has expanded from the basic function of protecting products to the marketing function through package design. Color, the visual element that composes the package design, is delivered to the consumer most quickly and effectively. As color marketing of these package designs expands, accurate color reproduction that the product wants to express is becoming more important. The color of an object is transmitted by absorption and scattering of light. Spectral reflectance refers to the intensity of light reflected by an object at different wavelengths by the spectral effect. As a result, the color of the object is expressed in various colors. Packaged printing inks have their own absorption and scattering coefficients, and the Kubelka-Munk model for color reproduction and prediction defines the relationship between these correlation coefficients through reflectance. In the Kubelka-Munk model for color reproduction and prediction, the relationship between the absorption and scattering coefficients (K/S) of printed material is predicted as the sum of the K/S values according to the mixing ratio of all color ink used. In this study, the reflectance of the measured print is reversely calculated at the mixing ratio of print ink using the Kubelka-Munk model. Through this, the relationship value of the ink-specific absorption/scattering coefficient constituting the final printed material is predicted. Delta E is derived through the predicted reflectance, and the similarity between the measured value and the predicted value is confirmed.