• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.104-111
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• 2009

Recently, it is becoming the big issue internationally where the safety problem of the industrial product including the foodstuffs. The way is able to construct the trust of the consumer that the external specialized agency independently operating confirms what production process of the product keep a standard or a technical regulation. This is conformity assessment. In the many countries, agencies entrusted government authority do conformity assessment. Specially, 'certification' in one form of conformity assessment process is operating a certification system at the government and the non-government body in Korea. Also non-government certification is fixed by trusted system from consumer. He has to prepare a competitive power in liberalization time, so need the countermeasure urgently. This study purpose that develops strategy so as to activating of non-government certification system in gist of the origination called 'self-control.' I present activation strategies using SWOT/AHP analysis.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.8
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• pp.1341-1351
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• 2010

The Korean jean market has become increasingly competitive due to the increased imports of global brands. This study is to understand the purchase behaviors of Korean college students toward foreign brand jeans to help Korean jean brands enhance their competitive advantages over foreign brand jeans in the Korean market. Considering perceptions of Korean consumers toward foreign brands and traditional value changes, this study proposed a research model incorporating two extended behavioral intention (BI) models, Lee's modified BI model and Ajzen's theory of planned behavior. To test the research model, a total of 240 valid data sets were collected from college students in Busan, Korea. Structural and measurement models were estimated using LISREL 8.80. Because face saving failed to attain internal validity, the research model was revised to eliminate face saving. The findings indicated that perceived behavioral control had the strongest direct influence on purchase intentions of Korean college students for foreign brand jeans. Group conformity and subjective norm had non-significant direct impacts on purchase intention, whereas group conformity had an indirect impact on purchase intention through attitude. Based on the findings, theoretical and managerial implications were provided.

• Journal of Internet Computing and Services
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• v.19 no.6
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• pp.9-20
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• 2018

Financial service industry has introduced and operated management systems such as information security management system (ISMS), personal information security management system, business continuity management system to protect and maintain suitably customer's financial information and financial service. This study started that it's desirable financial industry takes consideration of ISMS and it can be different types among various organizations taking consideration of culture, practical work, and guideline of information security. The study derives primary control areas of ISMS through analyzing non-conformity trends and control factors according to certification audit for finance-related organizations introduced international ISMS of ISO27001 which is well known and commonly applicable irrespective of areas in financial service industry. Through case analyses for five finance-related organizations operating ISMS, this study analyzed improvement effects of ISMS. It has a meaning as an initial research though it was difficulty in acquiring data for empirical study because of rare organizations maintaining certification in financial sector. As a result, number of non-confirmity from the first audit to three years' elapse was decreased every year. Physical and environmental security, communication and operations management, and access control having the highest frequency of non-conformity each presented 23%, 19%, and 17%, which reached 59% in total and they are derived into primary control areas. ISMS can fulfill technical, managerial, physical security issues, which have not been treated importantly in financial industry. In addition, this study presented that ISMS can be an effective management system applicable for financial service industry.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.32
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• pp.29-56
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• 2006

This article primarily concerns the various aspects of the rules to control express terms particularly in standard form which seek to absolve either wholly or in part from the seller's liability for non-conforming goods. It describes and analyzes in detail how English law regulates such terms. In this analysis, it places the following questions; first, whether each jurisdiction treats the seller's liability for non-conformity in quality and quantity as mandatory rules, second, if it does, to what extent it is treated so and third, if not, in what way it controls the seller's attempt to exclude or restrict his liability for non-conformity in quality and quantity. In addition, it attempts to compare the rules under English law with those under Korean law and to evaluate them in light of the discipline of comparative law. In an attempt to evaluate them, it asks the question of whether a solution from one jurisdiction may facilitate the systematic development and reform of another jurisdiction. The evaluation is based upon the idea that the problems of fairness associated with the use of standard terms occur where the customer is unfairly taken by surprise due to his ignorance of the terms, or where even if he knows of the substance of the terms and objects to it, he is met with a take-it-or-leave-it situation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.140-149
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• 2021

Most industries have introduced and operate an information security management system (ISMS) or a personal information security management system (PIMS) to suitably protect and maintain customer's information and company trade secrets. This study starts with the premise that it is desirable for every industry considering information security to maintain an ISMS. ISMS can be of different types among various organizations, taking into consideration culture, practical work procedures, and guidelines for information security. This study intends to derive primary control areas of an ISMS for each industry based on organizational size and audit type by analyzing non-conformity trends and control factors according to certification audits for organizations introduced for international ISMS under ISO27001. This study analyzed improvement effects of ISMS through case analyses. It is meaningful as exploratory research, although it was difficult to acquire data for empirical study because few organizations maintain certification in major industrial sectors. The requirements presented the highest frequency of non-conformity for each type from the 2013-initiated ISO27001; the years 2013 to 2020 were extracted as the primary control area. The study found that for primary control areas of ISMS for each of three industries, organizational size and audit type had differences.

• Journal of Broadcast Engineering
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• v.19 no.1
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• pp.75-82
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• 2014

This paper proposes an illuminant compensation method using a camera noise analysis without segmentation in the dichromatic reflectance model. In general, pixels within highlight regions include large amounts of information on the image illuminant. Thus, the analysis of highlight regions provides a relatively easy means of determining the characteristics of an image illuminant. Currently, conventional methods require regional segmentation and the accuracy of this segmentation then affects the illuminant estimation. Therefore, the proposed method estimates the illuminant without segmentation based on a conformity assessment of highlight regions. Furthermore, error factors, such as noise and sensor non-uniformity, can be reduced by the conformity assessment.

• Journal of Korea Trade
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• v.26 no.6
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• pp.61-82
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• 2022

Purpose - This study analyzed the effect of obtaining international products and qualification certification on exports according to the suitability evaluation system. Recently, non-tariff barriers have emerged as technical barriers, and the Biden administration is trying to achieve export growth and economic growth by utilizing the demand for conformity assessment following the Fourth Industrial Revolution and the free trade system from the perspective of Korea. Design/methodology - This study analyzed the effect of a manufacturer's product certification acquisition on a company's export performance using Resource-Based View-based multiple regression analysis. To this end, concentration validity was confirmed through Factor analysis and Cronbach's alpha, and correlation analysis was performed to verify discriminant validity. Findings - Product certification and qualification have a positive impact on the company's export performance. In particular, technological dynamism and relationship control have had a significant impact. Originality/value - Considering that the Conformity Assessment Management Act will take effect in earnest in 2022, this study is believed to suggest that companies that have been certified to meet international standards may improve their export performance and increase their value in the future. International market.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.2156-2170
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• 2020

This paper presents a fire detection algorithm with a minimal false detection rate, intended for a thermal imaging surveillance environment, whose properties vary depending on temporal conditions of day or night and environmental changes. This algorithm was designed to minimize the false detection alarm rate while ensuring a high detection rate, as required in fire detection applications. It was necessary to reduce false fire detections due to non-flame elements occurring when existing fixed threshold-based fire detection methods were applied. To this end, adaptive flame thresholds that varied depending on the characteristics of input images, as well as the center of gravity of the heat-source and hot-source regions, were analyzed in an attempt to minimize such non-flame elements in the phase of selecting flame candidate blocks. Also, to remove any false detection elements caused by camera shaking, one of the most frequently raised issues at outdoor sites, preliminary decision thresholds were adaptively set to the motion pixel ratio of input images to maximize the accuracy of the preliminary decision. Finally, in addition to the preliminary decision results, the texture correlation and intensity of the flame candidate blocks were averaged for a specific period of time and tested for their conformity with the fire decision conditions before making the final decision. To verify the fire detection performance of the proposed algorithm, a total of ten test videos were subjected to computer simulation. As a result, the fire detection accuracy of the proposed algorithm was determined to be 94.24%, with minimum false detection, demonstrating its improved performance and practicality compared to previous fixed threshold-based algorithms.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.5
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• pp.2573-2577
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• 2016

Objective: The aim of this study was to determine a method of dose prescription that minimizes normal tissue irradiation outside the planning target volume (PTV) during stereotactic body radiotherapy (SBRT) for patients with non-small cell lung cancer. Methods: Previous research and patients with typical T1 lung tumors with peripheral lesions in the lung were selected for analysis. A PTV and several organs at risk (OARs) were constructed for the dose calculated; six treatment plans employing intensity modulated radiotherapy (IMRT) were produced, in which the dose was prescribed to encompass the PTV, with the prescription isodose level (PIL) set at 50, 60, 70, 80, 90 or 95% of the isocenter dose. Additionally, four OARs around the PTV were constructed to evaluate the dose received in adjacent tissues. Results: The use of higher PILs for SBRT resulted in improved sparing of OARs, with the exception of the volume of lung treated with a lower dose. Conclusions: The use of lower PILs is likely to create significant inhomogeneity of the dose delivered to the target, which may be beneficial for the control of tumors with poor conformity indices.

• The Journal of Bigdata
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• v.3 no.2
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• pp.19-33
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• 2018

Owing to the increase of FTA, food trade, and versatile preferences of consumers, food import has increased at tremendous rate every year. While the inspection check of imported food accounts for about 20% of the total food import, the budget and manpower necessary for the government's import inspection control is reaching its limit. The sudden import food accidents can cause enormous social and economic losses. Therefore, predictive system to forecast the compliance of food import with its preemptive measures will greatly improve the efficiency and effectiveness of import safety control management. There has already been a huge data accumulated from the past. The processed foods account for 75% of the total food import in the import food sector. The analysis of big data and the application of analytical techniques are also used to extract meaningful information from a large amount of data. Unfortunately, not many studies have been done regarding analyzing the import food and its implication with understanding the big data of food import. In this context, this study applied a variety of classification algorithms in the field of machine learning and suggested a data preprocessing method through the generation of new derivative variables to improve the accuracy of the model. In addition, the present study compared the performance of the predictive classification algorithms with the general base classifier. The Gaussian Naïve Bayes prediction model among various base classifiers showed the best performance to detect and predict the nonconformity of imported food. In the future, it is expected that the application of the abnormality detection model using the Gaussian Naïve Bayes. The predictive model will reduce the burdens of the inspection of import food and increase the non-conformity rate, which will have a great effect on the efficiency of the food import safety control and the speed of import customs clearance.