• International Journal of Precision Engineering and Manufacturing
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• v.4 no.2
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• pp.49-56
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• 2003

As semi-solid forging (SSF) is compared with conventional casting such as gravity die-casting and squeeze casting, the product without inner defects can be obtained from semi-solid forming and globular microstructure as well. Generally, SSF consists of reheating, forging, and ejecting processes. In the reheating process, the materials are heated up to the temperature between the solidus and liquidus line at which the materials exists in the form of liquid-solid mixture. The process variables such as reheating time, reheating temperature, reheating holding time, and induction heating power has large effect on the quality of the reheated billets. It is difficult to consider all the variables at the same time for predicting the quality. In this paper, Taguchi method, regression analysis and neural network were applied to analyze the relationship between processing conditions and solid fraction. A356 alloy was used for the present study, and the learning data were extracted from the reheating experiments. Results by neural network were in good agreement with those by experiment. Polynominal regression analysis was formulated using the test data from neural network. Optimum processing condition was calculated to minimize the grain size and solid fraction standard deviation or to maximize the specimen temperature average. Discussion is given about reheating process of row material and results are presented with regard to accurate process variables fur proper solid fraction, specimen temperature and grain size.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.2
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• pp.273-279
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• 2007

As the number of mobile telephone users increases, technologies fur increasing quality of services between a mobile terminal and the base station transceiver system become more important than ever. The important criteria of quality of service includes minimum interference of base station, the success rate of network access and portability between different mobile companies. Among many factors, the successful rate of network connection between a mobile terminal and the base station is the most important. In this paper, we introduce an analysis system of mobile terminals using RS-232C communication after considering such environments. This application software simulates the communicational signals between and mobile terminals and the base station and shows the results through the graphs. Using this system, the task about testing communication performance of mobile terminals will be easy since it helps to analyze the status of communication.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.2
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• pp.245-249
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• 2007

In this paper describes image enhancement technique using deconvolution processing for ultrasonic nondestructive testing. When flaws are detected fur B-scan or C-scan, blurring effect which is caused by the moving intervals of transducer degrades the quality of images. In addition, acquisited images suffer form speckle noise which is caused by the ultrasonic components reflected from the grain boundary of material (1,2). The deconvolution technique can restore sharp peak value or clean image from blurring signal or image. This processing is applied to C-scan image obtained from known specimen. Experimental results show that the deconvolution processing contributes to get improved the quality of C-scan images.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2000.05a
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• pp.775-778
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• 2000

Single point diamond turning technique fur optical crystals is reported in this paper. The main factors influencing the machined surface quality are discovered and regularities of machining process are drawn. Optical crystals have found more and more important applications in the field of modern optics. Optical crystals are mostly brittle materials of poor machinability. The traditional machining method is polishing which has many shortcomings such as low production efficiency, poor ability to be automatically controlled and edge effect of the workpiece. SPDT has been widely used in manufacturing optical reflectors of non-ferrous metals such as aluminum and copper which are easy to be machined for their proper ductility. But optical crystals being discussed here are characterized by their high brittleness which makes it difficult to obtain high quality optical surfaces on them. The purpose of cur research is to find the optimum machining conditions for ductile cutting of optical crystals and apply the SPDT technique to the manufacturing of ultra precision optical components of brittle materials. As a result, the cutting force is steady, the cutting force range is 0.05-0.08N. The surface roughness is good when spindle is above 1400rpm. and feed rate is small. The influence of depth of cut is very small.

• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.406-414
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• 2004

It is being emphasized that management of core process is another crutial factor in the development of a product, besides of management of quality factors for the product itself. The study purposes to introduce process quality concept to digital contents market, and also aimes at meauring of process maturity, based on level 2 and 3 of Capability Maturity Model, for domestic companies especially devoted to digital contents area. The result shows that the maturity level of most of companies surveyed is very low and that mobile and game fields are slightly more matured than animation field. The paper also proposes some of future efforts to be made fur improving maturity level of digital contents companies.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.7 s.172
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• pp.27-37
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• 2005

Direct writing technology on the silicon wafer surface is used to reduce the size of the chip as the miniature trend in electronic circuit. In order to improve the productivity and efficiency, the real time quality estimation is very important in each semiconductor process. In laser marking, marking quality is determined by readability which is dependant on the contrast of surface, the line width, and the melting depth. Many researchers have tried to find theoretical and numerical estimation models fur groove geometry. However, these models are limited to be applied to the real system. In this study, the estimation system for the line width during the laser marking was proposed by process monitoring method. The light intensity emitted by plasma which is produced when irradiating the laser to the silicon wafer was measured using the optical sensor. Because the laser marking is too fast to measure with external sensor, we build up the coaxial monitoring system. Analysis for the correlation between the acquired signals and the line width according to the change of laser power was carried out. Also, we developed the models enabling the estimation of line width of the laser marking through the statistical regression models and may see that their estimating performances were excellent.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2005.10a
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• pp.373-376
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• 2005

In recent years, there has been a growing need fur productivity improvement of ACS wire (Aluminum clad Steel wire) In optical communication market. So, it is necessary to improve the production speed and following quality of ACS wire to reduce the unit cost of the products. In this study, the pre-heating temperature and cladding speed is chosen as the factors can influence the mechanical and metallurgical properties during cladding, and the changing behavior of mechanical property and microstructure by controlling above two factors are investigated. And the bearing length and approach angle in cladding die are selected as the important elements for designing optimum die enabling high speed cladding. So we carried out FE(Finite Element) analysis using the above two elements as variables. This paper aims to understand the change of mechanical properties and microstructure according to the change of each factor during cladding and suggest the optimized cladding condition to get the best quality of OPGW. And also we would like to introduce the optimum die structure that enables high-speed cladding.

• Korean Journal of Rural Living Science
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• v.6 no.1
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• pp.55-64
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• 1995

This study attempts to measure Quality of Life (QOL) of Korean farm households and examine the impacts of explanatory variables on QOL across residential areas. The data from 760 farm housewives were analyzed using means, Pearson's correlation, regression, one-way ANOVA, and Duncan's multiple range tests. The major findings of this study can be summarized as follows : 1. The general level of QOL of farm households was low. More specifically, among the three subcategories of QOL, the non for satisfaction in community life (SCL) was the highest and the score for satisfaction in home life (SHL) was the lowest. The score for the level of living in home life (LLHL) and SCL were high in the urban area and the score for the SHL was low in the mountainous area. 2. The significantly influenced variables fur the three subcategories of QOL were different in each residential areas. But it was common that the LLHL in the four residential areas was significantly determined by monetary asset and home management ability and the SHL was significantly determined by monetary asset in the three residential areas except the mountainous area.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.11a
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• pp.289-299
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• 2000

This study provides an application of datamining approach to CQI(Continuous Quality Improvement) using the discharge summary. First, we found a process variation in hospital infection rate by SPC (Statistical Process Control) technique. Second, importance of factors influencing hospital infection was inferred through the decision tree analysis which is a classification method in data-mining approach. The most important factor was surgery followed by comorbidity and length of operation. Comorbidity was further divided into age and principal diagnosis and the length of operation was further divided into age and chief complaint. 24 rules of hospital infection were generated by the decision tree analysis. Of these, 9 rules with predictive prover greater than 50% were suggested as guidelines for hospital infection control. The optimum range of target group in hospital infection control were Identified through the information gain summary. Association rule, which is another kind of datamining method, was performed to analyze the relationship between principal diagnosis and comorbidity. The confidence score, which measures the decree of association, between urinary tract infection and causal bacillus was the highest, followed by the score between postoperative wound disruption find postoperative wound infection. This study demonstrated how datamining approach could be used to provide information to support prospective surveillance of hospital infection. The datamining technique can also be applied to various areas fur CQI using other hospital databases.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.2
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• pp.403-413
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• 2007

KREN(Korean Education Network), supported by government fur 20 years, had been operated and connected to many educational institutions from elementary schools to universities. From 2001, This network has been operated by a commercial network consignment organization and started to offer superb infrastructures to access various educational information conveniently. This network contributes development of Korean Information technology and promotes solidarity among educational institutions as well. Despite this achievement, KREN's effectiveness is not well recognized. Therefore, performance analysis study was carried out on KREN's achievement to verify its effectiveness, this study was to justify government's continuous support and also to find effective. This study was to justify government's continuous support and also to find effective ways of operations and maintenance fur the next step of KREN. Over 100 organizations were surveyed for performance analysis and we analyzed its results and anticipated effectiveness in this study. Cost, contribution, quality and performance were examined fur satisfaction analysis and each institution's number of students, network experiences were used as independent variables fer regression analysis to figure out effectiveness of the network. This study's result provides much information for further research which will help in the development of educational policies and maximizing KREN's effectiveness.