• Journal of the Korea Computer Graphics Society
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• v.11 no.1
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• pp.40-49
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• 2005

Several optimization techniques have been proposed for volume ray casting, but these cannot achieve real-time frame rates. In addition, it is difficult to apply them to some applications that require perspective projection. Recently, hardware-based methods using 3D texture mapping are being used for real-time volume rendering. Although rendering speed approaches real time, the larger volumes require more swapping of volume bricks for the limited texture memory. Also, image quality deteriorates compared with that of conventional volume ray casting. In this paper, we propose a data structure for real-time volume ray casting named PERM (Precomputed dEnsity and gRadient Map). The PERM stores interpolated density and gradient vector for quantized cells. Since the information requiring time-consuming computations is stored in the PERM, our method can ensure interactive frame rates on a consumer PC platform. Our method normally produces high-quality images because it is based on conventional volume ray casting.

• Journal of Distribution Science
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• v.21 no.1
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• pp.65-72
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• 2023

Purpose: The purpose of this study was to determine the effect of Service Quality on Brand Performance through Satisfaction at an aviation campus in the Special Region of Yogyakarta, Indonesia. Research design, data, and methodology: This research design was hypothesis testing using primary data obtained by distributing questionnaires directly to 200 respondents who were active students at an aviation campus in the Special Region of Yogyakarta, Indonesia. The analytical method used was the Structure Equation Model (SEM). Results: The results of this study show that: (1) there was a significant and positive relationship between Service Quality and Satisfaction, (2) there was a significant and positive relationship between Satisfaction with Brand Performance, and (3) there was a significant and positive relationship between Service Quality and Brand Performance. Conclusion: This study concludes that for the dimension of Academic service quality distribution from the service quality variable, it is suggested to improve detailed recording by academic teaching staff. For the dimensions of Administrative Service Quality distribution from the Service Quality variable, it is recommended to increase the hospitality in the campus environment. For the dimensions of Facility Service Quality distribution from the Service Quality variable, it is recommended to increase satisfaction in terms of facilities on campus. For the Satisfaction variable, it is suggested to improve the performance of the staff and the academic community.

• The Journal of the Korea Contents Association
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• v.9 no.1
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• pp.1-14
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• 2009

A currently domestic governmental R&D business is early to 100. And this is each managed individually in 15 professional organizations of research and management by characteristics of a business. For this Reason, A redundant investment issue regarding national R&D occurs, and an issue regarding efficiency of R&D investment by insufficiency of systematic R&D research project and result management is continuously raised. Ministry of Education Science and Technology establishing National Science & Technology Information Service(NTIS) in order to solve these issues. NTIS is the national R&D Portal System which can support efficiency of research and development to result utilization in planning of national research and development. In this paper We consider integrated DB constructions and Information Linking of R&D Participants/Projects/Results information in a NTIS system for data quality Improvement. and then We analyze the cause of the data quality problem, and we propose the improvement plan for data quality elevation of NTIS system.

• Journal of Information Technology Services
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• v.21 no.2
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• pp.97-107
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• 2022

Recently, interest in smart factories is increasing. Investments to improve intelligence/automation are also being made continuously in manufacturing plants. Facility automation based on sensor data collection is now essential. In addition, we are operating our factories based on data generated in all areas of production, including production management, facility operation, and quality management, and an integrated standard information system. When producing LCD polarizer products, it is most important to link trace information between data generated by individual production processes. All systems involved in production must ensure that there is no data loss and data integrity is ensured. The large-capacity data collected from individual systems is composed of key values linked to each other. A real-time quality analysis processing system based on connected integrated system data is required. In this study, large-capacity data collection, storage, integration and loss prevention methods were presented for optimization of LCD polarizer production. The identification Risk model of inspection products can be added, and the applicable product model is designed to be continuously expanded. A quality inspection and analysis system that maximizes the yield rate was designed by using the final inspection image of the product using big data technology. In the case of products that are predefined as analysable products, it is designed to be verified with the big data knn analysis model, and individual analysis results are continuously applied to the actual production site to operate in a virtuous cycle structure. Production Optimization was performed by applying it to the currently produced LCD polarizer production line.

• Journal of Information Technology Services
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• v.10 no.3
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• pp.113-126
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• 2011

The smelting and the continuous casting of steel are important processes that determine the quality of steel products. Especially most of quality defects occur during solidification of the steel continuous casting process. Although quality control techniques such as six sigma, SQC, and TQM can be applied to the continuous casting process for improving quality of steel products, these techniques don't provide real-time analysis to identify the causes of defect occurrence. To solve problems, we have developed a detection model using decision tree which identified abnormal transactions to have a coarse grain structure. And we have compared the proposed model with models using neural network and logistic regression. Experiments on steel data showed that the performance of the proposed model was higher than those of neural network model and logistic regression model. Thus, we expect that the suggested model will be helpful to control the quality of steel products in real-time in the continuous casting process.

• Journal of Korean Academy of Nursing Administration
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• v.16 no.2
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• pp.162-171
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• 2010

Purpose: Nursing home quality indicators have been focused widely on result outcomes, not for the environment in that quality of service are delivered, This study aimed to examine structural factors influencing quality management activities in nursing homes. Method: Sample was 170 nursing homes responded to the survey questionnaire which was distributed to the 543 nursing homes nation-wide, Data were collected on structural characteristics, types of services, and quality management activities, Data were analyzed with the descriptive statistics, Pearson correlations, and multiple regression. Result: Most of the nursing homes were operated as free of charge by the social welfare ownership. Average number of residents was 52.1 with severe and mild dementia and bedridden status, In terms of quality management activities, 34% of the sample had CQI committee that focused their activities on services delivery process, performance appraisal, record keeping regularly. 30.6% of quality management activities were accounted for by the number of residents with dementia, the ratio of RN to residents, rehabilitation services, and social wefare services in nursing homes. Conclusion: We recommend that more comprehensive quality management activities should be developed as process quality indicators in conjunction with the outcome indicators.

• The Journal of Korean Academic Society of Nursing Education
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• v.5 no.1
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• pp.133-141
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• 1999

Recently there are increasing concerns on quality improvement activities related to difficult economic situations, more competitive environment, health professional's emphasis on quality, and customer's needs in health care. The purpose of this study was to identify educational needs in the quality improvement for staff nurses. Study setting was an acute care hospital having more than 1000 bed in Seoul, Korea. The subjects were 40 staff nurses who participated in the first Quality Assurance(QA) inservice education. Data were collected by self-administered questionnaire which consisted of four parts : QA knowledge and attitude(ten items, by five Likert scale), contents of QA education(ten items, by setting the priority), evaluation of the program(structure, time allocation, place, educational method), and general characteristics of respondents (age, duration to work for hospitals etc.) The response rate was 85%(34/40), Most had positive perspective and attitude about QI/QA activities, but 9% had negative impression and knowledge about this activities. Also they'd like to know the plan of hospital-level QI/QA activities, QI/QA current practice, general hospital system, the role of QA specialist and so on. Consequently, for building the quality improvement activities that is customer-focused, coordinated, outcome-oriented, resource-efficient, collaborative in Korea, at first the education about philosophy, theory, and implementation process of QI/QA should be conducted, and then that on QI/QA terminology, quality indicators development, the analysis and presentation of quality-related data and so forth be followed.

• Korean Journal of Ecology and Environment
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• v.42 no.4
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• pp.422-431
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• 2009

This study was to provide basic data for aquatic ecosystem research using fishes. Field sampling was carried out at five selected sites of Gap Stream, and fish samples, especially for a selection of sentinel species were collected three times in June, September, and October 2007. We analyzed total length distribution of Zacco platypus in relation with the season and the sampling sites, and then compared with total body weight, condition factor (K), and age distribution of the fish. The fish population data were compared with physico-chemical water quality, obtained from the Ministry of Environment, Korea. Water quality analysis showed a significant nutrient enrichment, based on total nitrogen (TN) and total phosphorus (TP), and organic matter pollution, based on biological oxygen demand (BOD) and chemical oxygen demand (COD) in the Site 5, which is directly influenced by wastewater disposal plant (WDP). Population analysis of the sentinel species showed that the total number of individuals, age distribution, and the population size-structure were influenced by the effluents from the WDP, and that reproductive failure of young-age population were evident in Site 5. According to the relation analysis of total weight to K, the disturbed population was mainly attributed to combined effects of habitat modifications and chemical degradations. Regression analysis of K values against water quality parameters showed significant (p<0.05) positive relations with nutrient and organic matter contents. Our data suggest that the population structure using a sentinel fish species reflected the ambient water quality in the stream and that diagnosis of aquatic ecosystem health using Z. platypus population may be practical for water resource and ecosystem conservations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.9
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• pp.1305-1311
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• 2022

With the recent rapid development of mobile terminals and personal computers and the advent of neural network technology, real-time face swapping using images has become possible. In particular, the cycle generative adversarial network made it possible to replace faces using uncorrelated image data. In this paper, we propose an input data processing scheme that can improve the quality of face swapping with less training data and time. The proposed scheme can improve the image quality while preserving facial structure and expression information by combining facial landmarks extracted through a pre-trained neural network with major information that affects the structure and expression of the face. Using the blind/referenceless image spatial quality evaluator (BRISQUE) score, which is one of the AI-based non-reference quality metrics, we quantitatively analyze the performance of the proposed scheme and compare it to the conventional schemes. According to the numerical results, the proposed scheme obtained BRISQUE scores improved by about 4.6% to 14.6%, compared to the conventional schemes.

• Journal of Korean Society on Water Environment
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• v.32 no.6
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• pp.511-519
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• 2016

National Institute of Environmental Research (NIER) has developed the Korean Reach File (KRF) for scientific and systematic analysis of variables related to water quality, pollutant sources and aquatic ecosystems in consideration of steam reach networks. The KRF provides a new framework for data production, storage, management and analysis for water related variables in relation to spatial characteristics, connections, and topologies of stream reaches. However, the current version of KRF (ver.2) has limited applicability because its nodes include not only the stream points based on topological characteristics but also those based on water quality monitoring stations, which may undermine its generality. In this study, a new version of KRF (ver.3) was designed and established to overcome the weak point of version 2. The version 3 is a generalization of the old KRF graphic data and it integrates the attribute data while separating it from the graphic data to minimize additional work that is needed for data association and search. We tested the KRF (ver.3) on actual cases and convenience and adaptability for each application was verified. Further research should focus on developing a database link model and real-world applications that are targeted to process event data.