• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.427-436
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• 2022

Ethnocentrism in users plays an important role in predicting user behavior when deciding between imported and domestic goods. The purpose of this study is to look into the influence of ethnocentrism in customer behavior on brand image, perceived value, perceived quality, brand trust, and brand buy intention. Vietnamese customers prefer homegrown brands. The moderate role of consumer ethnocentrism in the conceptual framework emphasizes the country origin of the product is the most important factor. It also demonstrates how the intention of Vietnamese consumers to buy domestic brands is substantially influenced. To test the hypothesis, this article used a quantitative technique utilizing PLS-SEM software. With 917 samples, the study used the quota sampling approach to collect data from students at 10 universities in Ho Chi Minh City. The data suggest that all players have a positive association and that consumer ethnocentrism has a moderate impact in the Vietnamese brand context. Following that, suggestions are made to help Vietnamese firms create and retain their brands in the face of severe competition from global brands in the domestic market. To increase consumer intent in purchasing behavior, the Vietnamese local company needs to establish a strong brand.

• Korean Journal of Radiology
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• v.21 no.12
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• pp.1345-1354
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• 2020

Objective: To evaluate radiomics analysis in studies on mild cognitive impairment (MCI) and Alzheimer's disease (AD) using a radiomics quality score (RQS) system to establish a roadmap for further improvement in clinical use. Materials and Methods: PubMed MEDLINE and EMBASE were searched using the terms 'cognitive impairment' or 'Alzheimer' or 'dementia' and 'radiomic' or 'texture' or 'radiogenomic' for articles published until March 2020. From 258 articles, 26 relevant original research articles were selected. Two neuroradiologists assessed the quality of the methodology according to the RQS. Adherence rates for the following six key domains were evaluated: image protocol and reproducibility, feature reduction and validation, biologic/clinical utility, performance index, high level of evidence, and open science. Results: The hippocampus was the most frequently analyzed (46.2%) anatomical structure. Of the 26 studies, 16 (61.5%) used an open source database (14 from Alzheimer's Disease Neuroimaging Initiative and 2 from Open Access Series of Imaging Studies). The mean RQS was 3.6 out of 36 (9.9%), and the basic adherence rate was 27.6%. Only one study (3.8%) performed external validation. The adherence rate was relatively high for reporting the imaging protocol (96.2%), multiple segmentation (76.9%), discrimination statistics (69.2%), and open science and data (65.4%) but low for conducting test-retest analysis (7.7%) and biologic correlation (3.8%). None of the studies stated potential clinical utility, conducted a phantom study, performed cut-off analysis or calibration statistics, was a prospective study, or conducted cost-effectiveness analysis, resulting in a low level of evidence. Conclusion: The quality of radiomics reporting in MCI and AD studies is suboptimal. Validation is necessary using external dataset, and improvements need to be made to feature reproducibility, feature selection, clinical utility, model performance index, and pursuits of a higher level of evidence.

• Journal of Korean Society for Quality Management
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• v.35 no.1
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• pp.136-141
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• 2007

For many products failures depend on age and usage and, in this case, failures are random points in a two-dimensional plane with the two axes representing age and usage. Models play an important role in decision-making. In this research, an accelerate failure test (AFT) model is proposed to deal with the two-dimensional data. The parameters are proposed to be estimated through maximum likelihood estimators.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.305-313
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• 2018

Public open data is a database or electronic file produced by a public agency or government. The government is opening public data through the open data portals and individual agency websites. However, it is a reality that there is a limit to search and utilize desired public data from the perspective of data users. In particular, it takes a great deal of effort and time to understand the characteristics of data sets and to combine different data sets. This study suggests the possibility of interlinking between data sets by analyzing the common relationship of item names held by public data. The data sets are collected from the open data portal, and item names included in the data sets are extracted. The extracted item names consist of formal context and formal concept through formal concept analysis. The format concept has a list of data sets and a set of item name as extent and intent, respectively, and analyzes the common items of intent end to determine the possibility of data connection. The results derived from the formal concept analysis can be effectively applied to the semantic connection of the public data, and can be applied to data standard and quality improvement for public data release.

• Journal of the Korean Institute of Landscape Architecture
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• v.22 no.1
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• pp.179-198
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• 1994

Urban parks and open spaces provide the community residents with the most easily accessible source for outdoor recreation, contributing also to the improvement of quality of natural environment in urban area. The demands of urban residents' for more and better green area are ever-increasing. However, the level of most urban open spaces which are easily accessible for residents are not satisfactory to meet the residents' demand in availability and in quality as well. Most existing urban open spaces are simply built of green areas only or have been developed in almost identical design with little consideration for individual uniqueness of the site. When developing neighbourhood parks in urban housing complexes, for example, little consideration is being given to topographical conditions, interrelation with the adjacent green area, or viability of the urban ecosystem. In many cases, urban park development projects are being done with serious negligence of natural properties of the site, by even destroying existing healthy woodlands. for instance. The objectives of this study are; -To survey on the domestic and the overseas cases of regulatory systems, development status and planning methods for urban open space. -To identify underlying issues of residental park developments in urban housing projects and establish appropriate improvement measures thereof, by studing and analyzing current-use data of developed urban parks and management status thereof. -To establish improved standards for urban open space planning, by integrating above surveys and studies, and recommendation for revision of related legislation is also presented to implement these standards.

• Korean Journal of Construction Engineering and Management
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• v.13 no.4
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• pp.3-15
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• 2012

Currently, Building Information Modeling (BIM) is an emerging technological shift that involves applying and maintaining an integral digital representation of all building information for different phases of the project life-cycle. Although BIM has been recognized as a main stream in the construction industry, it is difficult to ensure the quality of BIM data due to the problems such as internal errors of BIM tools and lack of guidelines considering design quality. Such problems give lots of difficulties to BIM adoption for designers, constructors, and owners. Therefore, it is necessary to develop the requirements including the object-oriented modeling method and property definition by applying the Industry Foundation Classes (IFC) which is an ISO/PAS 16739 standard for ensuring the quality of BIM data. This research aims at proposing the requirements considering the quality of BIM data and demonstrating the efficiency of the requirements with using the Solibri Model Checker (SMC) which is a quality control tool in a case study.

• Journal of Internet Computing and Services
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• v.8 no.4
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• pp.119-128
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• 2007

In this paper, We study on the Data Quality Model of ISO/IEC 25012 among the Software product Quality Requirements and Evaluation(SQuaRE) in ISO/IEC 25000 Series. Because of the increasing data, user require the accuracy data, recent data, suitable data for used tools, complied security and not open to be public. We research the data quality management in the point of application of be affect influenced low quality in business. We propose the testing items and we propose the method of the evaluation proposed testing items. We study on the basis international Standards ISO/IEC 25012 and ISO/IEC 9126-2 and we proposed the testing method quantitatively on the basis of ISO/IEC 25000.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.12
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• pp.461-468
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• 2022

Development of the big data industry, the cases of providing data utilization services on digital platforms are increasing. In this regard, research in data-related fields is being conducted to apply the FAIR principle that can be applied to the assessment of (meta)data quality, service, and function to data quality evaluation. Especially, the European Open Data Portal applies an assessment model based on FAIR principles. Based on this, a data maturity assessment is conducted and the results are disclosed in reports every year. However, public data portals do not conduct data maturity evaluations based on metadata. In this paper, we propose and evaluate a new model for data maturity evaluation on a big data platform built for multiple domestic public data portals and data transactions, FAIR principles used for data maturity evaluation in Europe's open data portals. The proposed maturity evaluation model is a model that evaluates the quality of public data portal datasets.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.271-277
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• 2020

Machine translation refers to software that translates a source language into a target language, and has been actively researching Neural Machine Translation through rule-based and statistical-based machine translation. One of the important factors in the Neural Machine Translation is to extract high quality parallel corpus, which has not been easy to find high quality parallel corpus of Korean language pairs. Recently, the AI HUB of the National Information Society Agency(NIA) unveiled a high-quality 1.6 million sentences Korean-English parallel corpus. This paper attempts to verify the quality of each data through performance comparison with the data published by AI Hub and OpenSubtitles, the most popular Korean-English parallel corpus. As test data, objectivity was secured by using test set published by IWSLT, official test set for Korean-English machine translation. Experimental results show better performance than the existing papers tested with the same test set, and this shows the importance of high quality data.

• Atmosphere
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• v.24 no.1
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• pp.77-87
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• 2014

The radar reflectivity is significantly affected by ground clutter, beam blockage, anomalous propagation (AP), birds, insects, chaff, etc. The quality of radar reflectivity is very important in quantitative precipitation estimation. Therefore, Weather Radar Center (WRC) of Korea Meteorological Administration (KMA) employed two quality control algorithms: 1) Open Radar Product Generator (ORPG) and 2) fuzzy quality control algorithm to improve quality of radar reflectivity. In this study, an occurrence of AP echoes and the performance of both quality control algorithms are investigated. Consequently, AP echoes frequently occur during the spring and fall seasons. Moreover, while the ORPG QC algorithm has the merit of removing non-precipitation echoes, such as AP echoes, it also removes weak rain echoes and snow echoes. In contrast, the fuzzy QC algorithm has the advantage of preserving snow echoes and weak rain echoes, but it eliminates the partial area of the contaminated echo, including the AP echoes.