• 한국정밀공학회지
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• 제34권1호
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• pp.23-27
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• 2017

This paper aims to develop a prediction model for the product quality of a casting process. Prediction of the product quality utilizes an artificial neural network (ANN) in order to renovate the manufacturing technology of the root industry. Various aspects of the research on the prediction algorithm for the casting process using an ANN have been investigated. First, the key process parameters have been selected by means of a statistics analysis of the process data. Then, the optimal number of the layers and neurons in the ANN structure is established. Next, feed-forward back propagation and the Levenberg-Marquardt algorithm are selected to be used for training. Simulation of the predicted product quality shows that the prediction is accurate. Finally, the proposed method shows that use of the ANN can be an effective tool for predicting the results of the casting process.

• 한국식품조리과학회지
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• 제5권2호
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• pp.35-41
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• 1989

This study was written to assess microbilogical quality by passage of time and holding method after making foods, by means of evaluating time, temperature and microbiological quality during vairous phases in product flow of hard-boiled mackerel served by an industry feeding operation for 500 persons a day, measuring pH & Aw and analyzing factors affecting nicrobiological growth conditions. The results were as fallows: 1. According to phases in product flow of hard-boiled mackerel, it showed 4.9 hours of mean of needed time, $27.5^{\circ}C$ of room temperature, 4.8~5.7 of pH value and 0.95~0.98 of Aw. these conditions were suitable for microbiological growth, and the phases with potential hygienic danger were pre-preparation and assembly & service. 2. As for holding methods and passage of time, holding as steam table was more effective than holding at room temperature as time past. 3. Food poisoning bacteria were not dectected from phases in product flow of hard-boiled mackerel.

• 대한산업공학회지
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• 제31권3호
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• pp.240-247
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• 2005

Today's hightech society requires thousands of different products which ultimately result in billions of tons of materials discarded, most of which end up in landfills. Therefore industrial circles could not help thinking about environmental problems by regulations of government or pressures of consumer. Generally, the related research subjects are classified into both of environmentally conscious manufacturing and product recovery, where product recovery aims to minimize the amount of waste sent to landfills by recovering materials and parts from old or outdated products by means of recycling and remanufacturing (including reuse of parts and products). In this research, we constructed a model for remanufacturing various goods using a single facility and developed a dynamic programing(DP) algorithm based upon the optimal solution characterization. We showed the efficiency of the developed DP algorithm with a numerical example.

• 대한안전경영과학회지
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• 제12권4호
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• pp.239-246
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• 2010

The purpose of this study is looking for the effects of innovation on business performance in Korean SMEs. We were able to obtain participations of 169 questionnaire, and derived statistics by means of SPSS/PC version 15.0 and AMOS. In this study we found that employee's quality mind and organizational supports for company innovation activities are significant to product innovation and process innovation. The reason is easy to adoption and participation in the innovation for all the members of the staff. As a statistical result, the research conduced that both product innovation and process innovation largely affects the business performances increase.

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1994년도 춘계학술대회논문집
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• pp.85-85
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• 1994

It is important to provide the opportunity and means to change body posture frequently during the work period. Maintaining a given posture, even if it appears comfortable in the beginning, becomes stressful as time goes on. In order to design most products some knowledge of the dimensions of the human body is required. Data concerning human body dimensions are referred to as anthropometric data. Anthropometric data are used to establish many product dimensions such as the heights of work surfaces, minimum size for access openings, spacing between controls, mounting angles for displays, distance between user and controls, and so forth. The usual procedure is to design to accommodate 90% of the population of anticipated product users. In sosme instances it is necessary to provide a method for adjusting because it allows users to alter the produst's dimensions to meet their individual needs. When the user makes the proper adjustments, the product will be easier to use (e.g., the seat and rearview mirror adjustment mechanisms on automobiles) or more comfortable (e.g., office chairs and stereo headphones).

• Journal of Information Technology Applications and Management
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• 제12권3호
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• pp.41-56
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• 2005

Product recommender system is one of the most popular techniques for customer relationship management. In addition, collaborative filtering (CF) has been known to be one of the most successful recommendation techniques in product recommender systems. However, CF has some limitations such as sparsity and scalability problems. This study proposes hybrid cluster analysis and case-based reasoning (CBR) to address these problems. CBR may relieve the sparsity problem because it recommends products using customer profile and transaction data, but it may still give rise to scalability problem. Thus, this study uses cluster analysis to reduce search space prior to CBR for scalability Problem. For cluster analysis, this study employs hybrid genetic and K-Means algorithms to avoid possibility of convergence in local minima of typical cluster analyses. This study also develops a Web-based prototype system to test the superiority of the proposed model.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.507-515
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• 2002

Remote Sensing Monitoring and Loss Estimated System of Flood Disaster based on GIS is an integrated system comprised flood disaster information receiving and collection, flood disaster simulation, and flood disaster estimation. When the system receives and collects remote sensing monitoring and conventional investigation information, the distributional features of flood disaster on space and time is obtained by means of image processing and information fusion. The economic loss of flood disaster can be classified into two pus: direct economic loss and indirect economic loss. The estimation of direct economic loss applies macroscopic economic analysis methods, i.e. applying Product (Industry and Agriculture Gross Product or Gross Domestic Product - GDP) or Unit Synthetic Economic Loss Index, direct economic loss can be estimated. Estimating indirect economic loss applies reduction coefficient methods with direct economic loss. The system can real-timely ascertains flood disaster and estimates flood Loss, so that the science basis fur decision-making of flood control and relieving disaster may be provided.

• 한국포장학회지
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• 제4권1호
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• pp.23-32
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• 1997

The change in moisture content of moisture sensitive products in moisture-semipermeable packages was investigated for the purpose of predicting the shelf life of a product-package combination. A mathematical model, and a computer program based on the physiochemical properties of the product and the moisture permeability of the package was developed. The moisture content for products in moisture-semipermeable packages was determined under various environmental conditions and the results were compared with the predicted values by means of the simulation model. These experimental studies demonstrated that the prediction of the change in moisture content of packaged products over time by the simulation model is accurate, within a practical range of temperature and relative humidity values. The developed semi-empirical model is considered to have applications in industry, since it provides product shelf life information for a range of temperature and relative humidity conditions, with a limited number of experimentally obtained data points.

• 한국유기농업학회지
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• 제22권4호
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• pp.629-643
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• 2014

This study analyzed how the brand image elements influenced upon forming the brand trust and the brand loyalty of the 'Sky Green' the joint agricultural product brand Cheonan, Chungnam. The brand image was classified into functional image, symbolical image and origin - associated image. And what element of the brand image element influences upon forming the brand image loyalty by the consumers who are using 'Sky Green'. In the analysis results, the functional image, symbolical image and the image associated with the origin have influenced on forming the brand trust and the brand loyalty. All variables composing the brand image have positive influences on both brand trust and brand loyalty. It means that brand image influences on brand loyalty directly but the greater influence can be exerted through the effects of the parameter of brand trust.

• 한국의류학회지
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• 제23권7호
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• pp.1007-1018
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• 1999

The purpose of this study were : 1) to examine the apparel product purchasing tendency of PC communication and internet users in home shopping 2) to analyze the difference of apparel product purchasing tendency accordint to consumer factors. The data was administered to 160 subjects who had communicated the PC communication and internet. And the data was collected from May through August in 1998. SPSS package was used for analysis and the following methods such as Means Percentage Frequencies Factor analysis Crosstabulation analysis t-test and one-way ANOVA, The results of this study were as follows : 1) The users of PC communication and internet were young and high-education level and a metropolitan area dwellers. They received a purchase offer through catalog PC communication and internet cable TV and paid out credit card Experience to purchasing apparel product of home shopping was very low but intention to purchasing was relative high. item that consumer wanted to buy using home shopping were casual clothing and fashion goods which were not important to fit and without regard to style. 2) Between purchasing apparel product of home shopping and mainly consideration factors were shown to have the significant differences according to age residential quarters whether or not marriage. income level. A metropolitan area dwellers the low-age unmarried and the low-income groups thought much of convenience shopping time and effort's saving. A person of the higher-income and the married thought much of the facility of an exchange or returned goods. A region dwellers were to purchase a speciality product or gift goods. 3) Between purchasing apparel product of home shopping and satisfaction degree were shown to have significant differences according to sex whether or not marriage education level an occupation. The woman than the man was satisfied with the benefit of the shopping time and effort's saving. And the unmarried than the married was satisfied with the benefit of the home shopping's convenience. The higher-education level than the lower-education level was satisfied with the quality guarantee of the product.