• Journal of the Semiconductor & Display Technology
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• v.17 no.1
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• pp.27-34
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• 2018

Industrially, die-casting products are formed through casting, and so the methods to inspect the defects inside them are very restrictive. External inspection methods including visual inspection, sampling judgment, etc. enables researchers to inspect possible external defects, but x-ray inspection equipment has been generally used to inspect internal ones. Recently, they have been also applying three-dimensional internal inspections using CT equipment. However, they have their own limitations in applying to the use of industrial inspection due to limited detection size and long calculation time. To overcome the above problems, this paper has suggested a method to inspect internal defects by comparing the CAD data of the product to be inspected with the 3D data of the CT image. In this paper, we proposed a method for fast and accurate inspection in three dimensions by applying x-ray inspection to find internal defects in industrial parts such as aluminum die casting products. To show the effectiveness of the proposed method, a series of experiments have been carried out.

• Communications for Statistical Applications and Methods
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• v.25 no.3
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• pp.263-274
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• 2018

One of the common issues in large dataset analyses is to detect and construct homogeneous groups of objects in those datasets. This is typically done by some form of clustering technique. In this study, we present a divisive hierarchical clustering method for two monothetic characteristics of histogram data. Unlike classical data points, a histogram has internal variation of itself as well as location information. However, to find the optimal bipartition, existing divisive monothetic clustering methods for histogram data consider only location information as a monothetic characteristic and they cannot distinguish histograms with the same location but different internal variations. Thus, a divisive clustering method considering both location and internal variation of histograms is proposed in this study. The method has an advantage in interpreting clustering outcomes by providing binary questions for each split. The proposed clustering method is verified through a simulation study and applied to a large U.S. house property value dataset.

• Journal of Korean Academy of Nursing Administration
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• v.8 no.1
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• pp.151-167
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• 2002

Purpose : The purpose of this study is to present the direction of service marketing for improving customers' satisfaction by comparing the difference in medical and nursing service satisfaction between internal and external customers. Method : The subjects were outpatients and inpatients as the external customers and nurses, doctors, and staffs as the internal customers, in a university hospital. Data were collected from April 25 to May 2, 2001 through questionnaires. The 2 structured instruments were used for collecting the data: Customer Satisfaction Measurement 2000 developed by Korean Society of Quality Assurance in Health Care(1999) and nursing service satisfaction questionnaires by the researcher. Data were analyzed using SPSSWIN 9.0 with t-test, one-way ANOVA, scheffe test.Result : 1. In overall medical service satisfaction scores, external customers' satisfaction showed significantly higher than internal customers'(p=.000) and there was no significant difference between external customers(p>.05). But there was significant difference between internal customers(p<.05). 2. There was no significant difference in nursing service satisfaction between the external and internal customers (p>.05). In the external customers, inpatients' nursing service satisfaction showed significantly higher than outpatients' (p<.001). And there was significant difference in nursing service satisfaction between internal customers(p<.05). Conclusion : To increase external customers' satisfaction with medical and nursing service, hospital should carry out internal marketing strategies for improving internal customers' satisfaction. Also to increase outpatients' satisfaction, it should conveniently improve procedures of use and provide more information and education for outpatients.

• Korean Journal of Remote Sensing
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• v.25 no.2
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• pp.155-163
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• 2009

An abundance of internal waves is observed by SAR in the Yellow Sea during summer. They are small scaled internal waves and are not relatively studied well compared to the ones in the East/South China Sea. These internal waves should be considered in the study of physio-biological properties of the Yellow Sea because the mixing of the stratified surface water caused by internal waves during summer is important for ocean biological environment, and they also affect the sediment transport and acoustic signal transmission in the continental shelf region. To understand the characteristics of internal waves, it is important to get the spatio-temporal information of internal waves simultaneously by executing in-situ measurements as well as the SAR observation. This study tracks the internal waves observed by SAR in the time series of temperature profile data by analyzing simultaneously acquired in-situ measurement data and RADARSAT SAR image on 29 May 2002.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.4 no.1
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• pp.18-24
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• 1999

The satellite image acquired by RADARSAT SAR on August 15, 1996 reveals internal waves in north coastal waters of Cheju Island. It is indicated from the image data, the tidal elevation data, and the bottom topography data, the internal waves seem to be generated by interaction between shallow bottom and tidal currents travelling in the stratified water in the summer time during the tidal changeovers from ebb to flood. The internal waves generated in such condition show patterns of trains of solitons. Probable amplitude of observed solitons is calculated using estimation of the soliton wave length from SAR image data and K-dV equation. Detection of the internal waves is very significant not only to military strategist for underwater maneuvers such as operation of submarines, but also to physical and biological oceanographers. Temporal and spatial variation of the internal waves are needed to be measured by simultaneous in-situ field study together with SAR to examine the nature of these internal waves.

• Journal of Distribution Science
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• v.15 no.1
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• pp.57-70
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• 2017

Purpose - This study examined the effects of CRM success factors on business performance and customer performance, and the effects on job performance and customer performance through internal member satisfaction by considering of technology, organizational environment and customer relationship factors in CRM success factors from banking sectors. Research design, data, and methodology - An online questionnaire was conducted to 251 employees in banking sectors. The data were analyzed by SPSS 22.0 and Amos 21.0. CRM success factors, internal member satisfaction, job performance, and customer performance were analyzed by descriptive statistics and Pearson's correlation analysis. The bootstrapping in structural equations was conducted to verify the mediating effect of internal member satisfaction. Results - Internal members' satisfaction had a positive effect on job and customer performance. It mediated the relationship between organizational environment, customer relationship factors and job performance. It also mediated the relationship between organizational environment and customer performance. Conclusions - If internal members' relationship with customers is improved by the members' satisfaction, customer retention, customer satisfaction, and work performance will be achieved. The stability and usability in CRM system support jobs effectively, but the internal members did not feel their job satisfaction. Thus, they did not show a positive effect on job and customer performance.

• Journal of Distribution Science
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• v.17 no.12
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• pp.33-42
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• 2019

Purpose: This study seeks to identify whether internal marketing factors have a statistically significant positive effect on the flow of services to customers of bank service employees. Specifically, the purpose of this study is to confirm the importance of internal marketing in the employees' services immersion to customers. In addition, the study seeks to identify whether employees' perceived organizational support recognition mediates between internal marketing factors and the employee's immersion in services to customers. Research design, data and methodology: This study distributed 100 questionnaires to employees working at banks to obtain data. Finally, the study conducted a statistical analysis on a questionnaire of 94 employees. For regression, factor analysis, and reliability analysis, the 24 version of the SPSS was used. For the mediation analysis, the SPSS macro developed by Hayes was used. Results: This study seeks to statistically verify which factors of internal marketing have a greater impact on employee immersion in services. Conclusions: Research verification has shown that all elements of internal marketing affect the employee's immersion in services to customers. It was also shown that the employee's recognition of organizational support mediated the relationship between factors of internal marketing and the employee's immersion in services to customers.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.645-646
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• 2008

Silhouette extraction is widely used in many computer graphics applications. In this paper, we proposed a method for extracting 3D silhouette and internal pattern from 3D vector data. To do this, we first make an edge-list, secondly define the silhouette, and finally remove hidden lines. After getting the silhouette, we extract internal pattern using adjacent edge's dihedral. The proposed method not only effectively improves the performance of extracting 3D silhouette and internal pattern from 3D vector data but also reduces the computational complexity.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.6
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• pp.1225-1241
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• 2014

Recently, Financial companies implement DLP(Data Leaks Prevention) security products and enforce internal controls to prevent customer information leaks. Accidental data leaks in financial business increase more and more because internal controls are insufficient. Security officials and IT operation staffs struggle to plan countermeasures to respond to all kinds of accidental data leaks. It is difficult to prevent data leaks and to control information flow in business without research applications that handle business and privacy information. Therefore this paper describes business and privacy information flow on applications and how to plan and deploy security container based OS-level and Hypervisor virtualization technology to enforce internal controls for applications. After building security container, it was verified to implement internal controls and to prevent customer information leaks. With security policies additional security functions was implemented in security container and With recycling security container costs and time of response to security vulnerabilities was reduced.

• The Journal of Advanced Prosthodontics
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• v.15 no.3
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• pp.145-154
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• 2023

PURPOSE. The objective of this study was to investigate how internal structures influence the overall and marginal accuracy of full arch preparations fabricated through additive manufacturing in different printing systems. MATERIALS AND METHODS. A full-arch preparation digital model was set up with three internal designs, including solid, hollow, and grid. These were printed using three different resin printers with nine models in each group. After scanning, each data was imported into the 3D data processing software together with the master cast, aligned and trimmed, and then put into the 3D data analysis software again to compare the overall and marginal deviation whose results are expressed using root mean square values and color maps. To evaluate the trueness of the resin model, the test data and reference data were compared, and the precision was evaluated by comparing the test data sets. Color maps were observed for qualitative analysis. Data were statistically analyzed by one-way analysis of variance and Bonferroni method was used for post hoc comparison (α = .05). RESULTS. The influence of different internal structures on the accuracy of 3D printed resin models varied significantly (P < .05). Solid and grid models showed better accuracy, while the hollow model exhibited poor accuracy. The color maps show that the resin models have a tendency to shrink inwards. CONCLUSION. The internal structure design influences the accuracy of the 3D printing model, and the effect varies in different printing systems. Irrespective of the kind of printing system, the printing accuracy of hollow model was observed to be worse than those of solid and grid models.