• Maxillofacial Plastic and Reconstructive Surgery
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• v.38
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• pp.46.1-46.7
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• 2016

Background: Osteoradionecrosis is the most dreadful complication after head and neck irradiation. Orocutaneous fistula makes patients difficult to eat food. Fibular free flap is the choice of the flap for mandibular reconstruction. Osteocutaneous flap can reconstruct both hard and soft tissues simultaneously. This study was to investigate the success rate and results of the free fibular flap for osteoradionecrosis of the mandible and which side of the flap should be harvested for better reconstruction. Methods: A total of eight consecutive patients who underwent fibula reconstruction due to jaw necrosis from March 2008 to December 2015 were included in this study. Patients were classified according to stages, primary sites, radiation dose, survival, and quality of life. Results: Five male and three female patients underwent operation. The mean age of the patients was 60.1 years old. Two male patients died of recurred disease of oral squamous cell carcinoma. The mean dose of radiation was 70.5 Gy. All fibular free flaps were survived. Five patients could eat normal diet after operation; however, three patients could eat only soft diet due to loss of teeth. Five patients reported no change of speech after operation, two reported worse speech ability, and one patient reported improved speech after operation. The ipsilateral side of the fibular flap was used when intraoral soft tissue defect with proximal side of the vascular pedicle is required. The contralateral side of the fibular flap was used when extraoral skin defect with proximal side of the vascular pedicle is required. Conclusions: Osteonecrosis of the jaw is hard to treat because of poor healing process and lack of vascularity. Free fibular flap is the choice of the surgery for jaw bone reconstruction and soft tissue fistula repair. The design and selection of the right or left fibular is dependent on the available vascular pedicle and soft tissue defect sites.

• Journal of Korean Society of Transportation
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• v.19 no.2
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• pp.7-19
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• 2001

The research purpose for The Impact of Aviation Safety over the Consumer's Behavior in Korea lies at the judgement that airline consumers' selection criteria has much changed after several serious aviation accidents as before when we used to overlook "aviation safety" variable through surveying to Korean aviation consumers and foreigners visit or travel Korea on various purposes. Therefore, for this research, practical analysis methods are employed after surveying to actual passengers who use Kimpo International Airport's international and domestic terminals. This study will be regarded significant in terms that empirical analysis was used to prove "Aviation Safety", a variable which had not been regarded as a airline choice factor within Korea air transport market so far, and has an effect on the aviation consumers' airline preference change and choice after recent frequent aviation accidents. Presenting this dissertation, I wish. it can be another opportunity for Korean two national flag airlines to reappraise and reinforce the significance of "aviation safety" and set forth immediate vigorous efforts to support the government's aviation safety improvement countermeasures. I hope the study to contribute and provide a variable idea and direction to improve aviation safety management of two Korean flag carriers.

• Nutrition Research and Practice
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• v.4 no.1
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• pp.43-50
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• 2010

The aim of this study was to provide descriptive information on meal and snack patterns and to investigate snacks in relation to energy intake and food choice according to the meal patterns of employed people in Korea. 683 employed people (292 males, 391 females) were interviewed to collect one day dietary data by using 24-h dietary recall. A recorded day was divided into 3 meal and 3 snack periods by the respondent's criteria and the time of consumption. To analyze the eating pattern participants were divided as the more frequent snack eaters (MFSE) and the less frequent snack eaters (LFSE). They were also categorized into 6 groups according to the frequency of all eating occasions. The common meal pattern in nearly half of the subjects (47.6%) was composed of three meals plus one or two snacks per day. A trend of an increasing the number of snacks in between main meals emerges, although the conventional meal pattern is still retained in most employed Korean adults. Women, aged 30-39, and urban residents, had a higher number of being MFSE than LFSE. Increasing eating occasions was associated with higher energy, protein, and carbohydrate intakes, with the exception of fat intakes. 16.8% of the total daily energy intake came from snack consumption, while the 3 main meals contributed 83.2%. Energy and macronutrient intakes from snacks in the MFSE were significantly higher than the LFSE. Instant coffee was the most popular snack in the morning and afternoon, whereas heavy snacks and alcohol were more frequently consumed by both of the meal skipper groups ($\leq$2M+2,3S and $\leq$2M+0,1S) in the evening. In conclusion, meal pattern is changing to reflect an increase of more snacks between the three main meals. Meal and snack patterns may be markers for the energy and macronutrient intakes of employed people in Korea.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.233-240
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• 2017

In recent years, graphics authoring tools have evolved into a variety of formats in line with the rapidly changing digital design field. However, in the field of interface design, screen shape and size depending on the user's environment, it needs more flexible and scalable authoring tools. Along with the emergence of variety of new tools, work processes are also changing. This study investigates what kinds of graphic authoring tools are currently used by designers and compared the result to the case of overseas and examined the difference in the environment of graphic authoring tool. This study looked at criteria and satisfaction of designers choosing authoring tools and how the choice depends on the type of company we are working in and the type of project we are involved in. Research shows that the choice of authoring tools depends on the type and efficiency of the project. Based on this, a reference is provided to establish the standard and working environment for designers and companies to select graphic authoring tools and propose the future direction of graphic authoring tool environments.

• Korean journal of food and cookery science
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• v.33 no.2
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• pp.228-236
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• 2017

Purpose: This study investigated beef restaurant's selection attributes using conjoint analysis in order to provide useful information to marketers and managers. Methods: A total of 320 questionnaires were distributed to consumers who visited a beef restaurant in August 2016, and 284 were completed (96.90%). Statistical analyses of data were performed using SPSS/Windows 22.0 for descriptive statistics and conjoint analysis. Results: The results of this study demonstrate the relative importance and level of each attribute for selecting beef restaurants. Price showed the greatest importance (34.86%), followed by origin of beef (27.52%), level of support services (25.72%), and variety of side dishes (11.90%). The optimum attribute combination was various side dishes (0.059), Korean beef (0.385), Very high service level (-0.291), and price of 8,000 won (-0.782). The most preferred beef restaurant gained 37.60% potential market share from choice simulation. There were significant differences in importance of attributes related to age of respondents. For respondents in their 20s and older than 50s, the first consideration was price. Respondents in their 30s considered the level of support services first while those in their 40s considered origin of beef first. Importance of attributes based on companion of respondents revealed that all respondents considered price first. Conclusion: This study contributes to development of marketing plans based on a customer's involvement level focusing on their primary selection criteria when choosing a beef restaurant. Additionally, marketers who manage beef restaurants can estimate the market share of imaginary beef restaurants from these results.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.455-460
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• 2017

In popular music, soul music is becoming an evaluation criteria in Korea. Blues, a songer music that was singing and lamenting Filed Holler and their suffering in a vast land of black blood and sweat, which became the mother of music to understand our enthusiastic soul music. And the only spiritual haven, church music and important musicians. Especially in the 1960s Americans social background is the most important factor to understand the soul music of birth time. Our country, which has undergone tremendous colonial rule amid numerous foreign invasions, is naturally ashamed of its aging skies. For Black-Americans soul music is an expression and anger expression anger. However, many musicians, who are flooded with floods in our country, are destined to experience the essence of life. 'Soul music' the noble choice of choice music, is known to be the ultimate reminder of the misery of the eternal disaster. As soul music has become a powerful it is understandable that it has become an exaggeration.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.175-186
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• 1999

Detecting the features of significant patterns from their own historical data is so much crucial to good performance specially in time-series forecasting. Recently, a new data filtering method (or multi-scale decomposition) such as wavelet analysis is considered more useful for handling the time-series that contain strong quasi-cyclical components than other methods. The reason is that wavelet analysis theoretically makes much better local information according to different time intervals from the filtered data. Wavelets can process information effectively at different scales. This implies inherent support fer multiresolution analysis, which correlates with time series that exhibit self-similar behavior across different time scales. The specific local properties of wavelets can for example be particularly useful to describe signals with sharp spiky, discontinuous or fractal structure in financial markets based on chaos theory and also allows the removal of noise-dependent high frequencies, while conserving the signal bearing high frequency terms of the signal. To date, the existing studies related to wavelet analysis are increasingly being applied to many different fields. In this study, we focus on several wavelet thresholding criteria or techniques to support multi-signal decomposition methods for financial time series forecasting and apply to forecast Korean Won / U.S. Dollar currency market as a case study. One of the most important problems that has to be solved with the application of the filtering is the correct choice of the filter types and the filter parameters. If the threshold is too small or too large then the wavelet shrinkage estimator will tend to overfit or underfit the data. It is often selected arbitrarily or by adopting a certain theoretical or statistical criteria. Recently, new and versatile techniques have been introduced related to that problem. Our study is to analyze thresholding or filtering methods based on wavelet analysis that use multi-signal decomposition algorithms within the neural network architectures specially in complex financial markets. Secondly, through the comparison with different filtering techniques' results we introduce the present different filtering criteria of wavelet analysis to support the neural network learning optimization and analyze the critical issues related to the optimal filter design problems in wavelet analysis. That is, those issues include finding the optimal filter parameter to extract significant input features for the forecasting model. Finally, from existing theory or experimental viewpoint concerning the criteria of wavelets thresholding parameters we propose the design of the optimal wavelet for representing a given signal useful in forecasting models, specially a well known neural network models.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.175-186
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• 1999

Detecting the features of significant patterns from their own historical data is so much crucial to good performance specially in time-series forecasting. Recently, a new data filtering method (or multi-scale decomposition) such as wavelet analysis is considered more useful for handling the time-series that contain strong quasi-cyclical components than other methods. The reason is that wavelet analysis theoretically makes much better local information according to different time intervals from the filtered data. Wavelets can process information effectively at different scales. This implies inherent support for multiresolution analysis, which correlates with time series that exhibit self-similar behavior across different time scales. The specific local properties of wavelets can for example be particularly useful to describe signals with sharp spiky, discontinuous or fractal structure in financial markets based on chaos theory and also allows the removal of noise-dependent high frequencies, while conserving the signal bearing high frequency terms of the signal. To data, the existing studies related to wavelet analysis are increasingly being applied to many different fields. In this study, we focus on several wavelet thresholding criteria or techniques to support multi-signal decomposition methods for financial time series forecasting and apply to forecast Korean Won / U.S. Dollar currency market as a case study. One of the most important problems that has to be solved with the application of the filtering is the correct choice of the filter types and the filter parameters. If the threshold is too small or too large then the wavelet shrinkage estimator will tend to overfit or underfit the data. It is often selected arbitrarily or by adopting a certain theoretical or statistical criteria. Recently, new and versatile techniques have been introduced related to that problem. Our study is to analyze thresholding or filtering methods based on wavelet analysis that use multi-signal decomposition algorithms within the neural network architectures specially in complex financial markets. Secondly, through the comparison with different filtering techniques results we introduce the present different filtering criteria of wavelet analysis to support the neural network learning optimization and analyze the critical issues related to the optimal filter design problems in wavelet analysis. That is, those issues include finding the optimal filter parameter to extract significant input features for the forecasting model. Finally, from existing theory or experimental viewpoint concerning the criteria of wavelets thresholding parameters we propose the design of the optimal wavelet for representing a given signal useful in forecasting models, specially a well known neural network models.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.7
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• pp.3253-3262
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• 2013

This study aims to analyse the regional disparity of the youth employment and to regional current states and characteristics via evaluation criteria for employment competitiveness. Summaries of the major results in this study are as following. Firstly, it has revealed that the regional disparity of youth employment is deepening. Secondly, after the analysis of employment competitiveness, the strongest regional employment competitiveness was found to be Seoul(0.622), followed by Chungnam(0.592), Ulsan(0.528), Gyeongbuk(0.514), Gyeonggi(0.507) and the region of employment risky is Jeonbuk. Lastly, the most influencing factors on the competitiveness of youth employment are supply factors and demand factors. Therefore, we must create new jobs of good quality, in order to reduce regional disparity and strengthen the competitiveness of youth employment. Also region of employment risky should require continuous monitoring. And the government should determine priorities of employment policies that suitable for regional characteristics. That is to say, the government should contribute to establishing the strategy of choice and focus.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.318-322
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• 2006

댐군 운영 문제는 여러 상충되는 목적 및 구성 요소들 간의 타협, 조정을 위한 다목적 특성을 갖고 있다. 본 연구의 목적은 댐군 연계 운영 문제에 대해 다기준 의사결정 기법을 적용하여 최선의 운영 계획을 수립하는 것이다. 이를 위해 순위선호(outranking) 관계와 유사기준(pseudo-criteria)을 기반으로 해서 여러 선호 대안을 선정하는 데 유용한 ELECTRE (ELimination Et Choice Translating REality)를 적용하고자 한다. ELECTRE IS는 주어진 후보 대안들 중에서 원하는 수의 대안을 선정하는 데 유용하다. 그러나 기존의 ELECTRE IS는 대안선정 과정에서 의사결정자에게 기준들의 가중치(weight), 유사기준판정 경계치(pseudo-criteria thresholds), 그리고 일치판정 기준비율(concordance level)의 매개변수에 대한 설정을 요구하고 이들의 설정 상태에 따라 도출되는 대안의 수가 달라질 수 있는 성질을 갖고 있다. 특히 일치판정 기준비율은 ELECTRE IS의 최종적인 순위선호 관계의 형성여부에 결정적 영향을 주어 매개변수의 아주 작은 변화에도 선정되는 대안의 수가 달라질 수 있다. 따라서 실제 ELECTRE IS를 적용하여 원하는 수의 대안을 선정하기 위해서는 일치판정 기준비율에 대한 반복적용이 불가피하다. 이에 본 연구에서는 CoMOM (Coordinated Multireservoir Operating Model)을 활용한 댐군 연계운영 시 제시되는 파레토 최적해 집합(Pareto set)중에서 최선의 파레토 최적해를 선정할 때 ELECTRE IS의 수학적 구현 모형을 활용할 것을 제안하고 그 방법론을 제시한다. 제안된 모형은 혼합정수계획모형으로서 ELECTRE IS를 적용하는 과정에서 일치판정 기준비율을 자동으로 도출하고, 궁극적으로 많은 반복 없이 원하는 수나 그에 근사한 수의 선호대안(핵심대안)을 도출할 수 있는 특징을 갖고 있다. 이 모형을 낙동강 수계의 댐군 연계운영 문제에 적용해 보고, 핵심대안을 효율적으로 도출할 수 있음을 보인다.