• Transactions of Materials Processing
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• v.8 no.3
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• pp.313-318
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• 1999

Many products related to automobile and airplane industry have been manufactured by semi-solid forging. In this paper finite element analysis of product by combined extrusion in semi-solid state was performed and its experimental verification using A356 was conducted. distribution of solid fraction was analyzed and compared with the experimental microstructure in the product. In addition, distribution of temperature in the product was analysed by finite element method.

• Industrial Engineering and Management Systems
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• v.9 no.1
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• pp.1-9
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• 2010

Increasing product variety based on product family and product platform provides a company with a competitive advantage over its competitors. As products become more complex, short-life cycled and customized, the design efforts require more knowledge-intensive, collaborative and coordinating efforts for information sharing. By sharing knowledge, information, component and process across different families of products, the product realization process will be more efficient, cost-effective and quick-responsive. Formal Concept Analysis (FCA) is used for analyzing data and forming semantic structures that are formal abstractions of concepts of human thoughts. A Web Ontology Language (OWL) is designed for applications that need to process the content of information instead of simply presenting information to humans. OWL also captures the evolution of different components of the product family. The purpose of this paper is to develop product variety modeling to increase the usefulness of common platform. In constructing and analyzing product ontology, FCA is adopted for conceptual knowledge processing. For the selected product family, product variety Ontology is constructed and implemented using prot$\'{e}$g$\'{e}$-2000.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.599-614
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• 2021

This paper proposes a digital signage system based on an intelligent recommendation model. The proposed system consists of a server and an edge. The server manages the data, learns the advertisement recommendation model, and uses the trained advertisement recommendation model to determine the advertisements to be promoted in real time. The advertisement recommendation model provides predictions for various products and probabilities. The purchase index between the product and weather data was extracted and reflected using correlation analysis to improve the accuracy of predicting the probability of purchasing a product. First, the user information and product information are input to a deep neural network as a vector through an embedding process. With this information, the product candidate group generation model reduces the product candidates that can be purchased by a certain user. The advertisement recommendation model uses a wide and deep recommendation model to derive the recommendation list by predicting the probability of purchase for the selected products. Finally, the most suitable advertisements are selected using the predicted probability of purchase for all the users within the advertisement range. The proposed system does not communicate with the server. Therefore, it determines the advertisements using a model trained at the edge. It can also be applied to digital signage that requires immediate response from several users.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1994.10a
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• pp.504-509
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• 1994

Recently SMT is used widely to place the SMD on bare board which is very small and highly integrated. And that is one of the issue directly in the electric products assembly process and especiallly in the field of optimizing electric product's performance, automatically tuning method which is highly demanded in the electronics industry. To tune product's performance, variable resistances's resistivity should be changed until it has good performance characteristics. In this paper to automatically regulate the 8mm camcoder's performance, it is proposed variable resistence's center position and orientation detection algorithm by image processing, which has very precise and accurate result. And we found optimal conditions which can have effects on image acquisition process. And real time processing is done by DSP to detect vr's center and orientation. This results make it possible to utilize proposed image processing algorithm and system directly in electronics industry.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.660-663
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• 2009

Consumers express how they evaluate what they purchased by writing reviews especially when they purchased products online. By analyzing the reviews about a product, it will be possible to find out what the consumers liked and disliked about the product. It will be also possible to identify the general consensus on what matters in purchaing certain product type such as a laptop if many reviews about many instances of a particular product type is analyzed. However, it takes a lot of time to manually analyzing the reviews. Thus, we propose to use two natural language processing oriented computational techniques to analyze a large number of reviews. The techniques are text classification and information extraction. We developed an review analysis system and conducted experiments against the reviews about the laptop computers posted on the Naver information portal.

• Transactions of Materials Processing
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• v.32 no.6
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• pp.335-343
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• 2023

Spur Gear parts for automobile actuators using existing former forging technology were produced in a total of three processes on a former forging machine. However, in order to improve cost increase due to frequent mold breakage, Spur Gear parts were designed and manufactured in the cold forging process after forming the preform through former forging. In other words, in the existing former forging mold, product seating defects occurred due to horizontal movement, resulting in many product defects and mold damage, so there was an urgent need to improve mold life and product defects. In order to improve this, we tried to improve the mold life by improving the existing 3 former forging processes to a former forging process and 2 cold forging processes. Therefore, We developed Spur Gear parts for automobile actuators were developed by applying precision cold forging technology through a former forging process and 2 cold forging processes to improve mold life.

• Journal of Korea Trade
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• v.26 no.6
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• pp.83-95
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• 2022

Purpose - With the recent spread of COVID-19, U.S. consumers' consumption pattern is changing towards purchasing large-capacity products, as they stay at home longer. Thus, the current research investigates the effects of box shape and component diversity for large-sized products on product evaluation in logistic business. Moreover, this research examines that information-processing fluency mediates the moderating effects of box shape and product components on target evaluations to confirm psychological mechanism for generating this effect. Design/methodology - In order to examine the hypotheses, the current research conducts two online experiments. The 184 participants (Study 1), and 205 participants (Study 2) of U.S. nationality were recruited through Amazon Mechanical Turk. This research analyzes the data by using SPSS 25 and PROCESS macro 4.0. Findings - Study 1 demonstrates that when the height of a box is greater than its width, products with single components promote positive target evaluations, while when the width of box is greater than its height, products with a variety of components lead to positive target evaluations. Study 2 shows that the same results are replicated in other product categories and with different box shape ratios. Moreover, Study 2 also finds that the ease of information processing mediates the interaction effects of box shape and component diversity on U.S. consumers' target evaluations. Originality/value - The current research has originality in that it investigates the effect of box shape and product composition diversity on U.S. consumer product evaluation from the perspective of information-processing theory Moreover, this research has practical implications for global traders who prepare for entering the U.S. market.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.3
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• pp.80-88
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• 2019

Recently, automobile manufacturing companies, which are major customers of them, are requiring IATF 16949 (ISO/TS 16949) certification as a mandatory requirement to secure product quality. In particular, IATF 16949 : 2016, revised in October 2016, was reinforced product traceability requirements for production information management by lot in the production process. Therefore, small and medium-sized precision parts processing companies in the automobile industry are very difficult to survive due to quality and price competition for customers satisfaction. MES (Manufacturing Execution System) is required to solve this problem. However, small and medium sized precision parts processing enterprises are reluctant to introduce the MES which is not suitable for the manufacturing environment of them such as high cost and low utilization. Even if the system is introduced, it is difficult to operate and maintain the system because the lack of computer manpower. In this paper, we propose a method for building a lot tracking system for small and medium precision parts processing companies by reviewing relevant literature and analyzing cases. In addition, by managing the production history for each lot of the final product in the system, we will grasp the effect of reducing the quality failure cost obtained by minimizing the range of defect selection.

• Journal of the Korea Safety Management & Science
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• v.2 no.4
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• pp.139-151
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• 2000

Developing a new commercial product, it is need to connect the end users demand of quality to the industrial technology of company. For this reason, this study is to build up the users demand for the imminent marketing product of a certain company by Analytic Hierarchy Process, analyze quantitatively users subjective thoughts collected by Group Consensus, calculate the added-value of users demands and verify the consistency of users opinions by consistency-exponential-calculation. The added value obtained by this method is substituted into a user-demand item of Quality Function Deployment. And, the technical characteristic data transferred from the extracted essential factor for developing and manufacturing a new product is substituted into a technical characteristic item of QFD. The faculty of quality is firstly finished by this procedure. But, because the relation a technical characterization with users demand do not be known in new product, Wassermans method was introduced for the correlation users demand with technology and for the processing and marketing of a new product. The all assumption on this thesis was based on the reliable real data of a certain company.

• Proceedings of the Korean Society for Food Science of Animal Resources Conference
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• 2005.10a
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• pp.131-135
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• 2005

In general, the application of HP contributes to improvement of functionalities of meat protein. In the current study, HP allowed the lower thermal processing of restructured meat product. Low thermal processing allowed fresh-like meat color which is one of problems in hot-set restructuring, while they showed slight discolorization induced by HP. In addition, HP processing combined with thermal processing could be achieved the palatable binding strength in restructured meat product. The addition of non-meat protein had an effect in binding strength. However, they showed no effect on water binding properties at 200 MPa, especially in milk proteins such as casein and whey protein. This is probably due to protein aggregation or to increase in surface hydrophobicity under HP. This result indicates that the application of HP on meat restructuring is more significant than the addition of binders. Therefore, the application of HP has apotential benefit in restructured meat product, and further investigations are needed.