• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.642-643
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• 2023

피트니스 분야 인공지능 서비스의 성능 개선을 AI모델 개발이 아닌 데이터셋의 품질 개선을 통해 접근하는 방식을 제안하고, 데이터품질의 성능을 평가하는 것을 목적으로 한다. 데이터 설계는 각 분야 전문가 10명이 참여하였고, 단일 시점 영상을 이용한 운동동작 자동 분류에 사용된 모델은 Google의 MediaPipe 모델을 사용하였다. 팔굽혀펴기의 운동동작인식 정확도는 100%로 나타났으나 팔꿉치의 각도 15° 이하였을 때 동작의 횟수를 인식하지 않았고 이 결과 값에 대해 피트니스 전문가의 의견과 불일치하였다. 향후 연구에서는 동작인식의 분류뿐만 아니라 운동량을 연결하여 분석할 수 있는 시스템이 필요하다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.6
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• pp.1171-1179
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• 2021

Image forensic is performed to check image limpidness. In this paper, a robust scheme is discussed to detect median filtering in low quality images. Detection of median filtering assists in overall image forensic. Improved spatial statistical features are extracted from the image to classify pristine and median filtered images. Image array data is rescaled to enhance the spatial statistical information. Features are extracted using Markov model on enhanced spatial statistics. Multiple difference arrays are considered in different directions for robust feature set. Further, texture operator features are combined to increase the detection accuracy and SVM binary classifier is applied to train the classification model. Experimental results are promising for images of low quality JPEG compression.

• Journal of the Korea Society of Computer and Information
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• v.20 no.5
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• pp.73-81
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• 2015

Most of the software fault prediction studies focused on the binary classification model that predicts whether an input entity has faults or not. However the ability to predict entity fault-proneness in various severity categories is more useful because not all faults have the same severity. In this paper, we propose fault prediction models at different severity levels of faults using traditional size and complexity metrics. They are ternary classification models and use four machine learning algorithms for their training. Empirical analysis is performed using two NASA public data sets and a performance measure, accuracy. The evaluation results show that backpropagation neural network model outperforms other models on both data sets, with about 81% and 88% in terms of accuracy score respectively.

• Information Systems Review
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• v.24 no.1
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• pp.157-181
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• 2022

As competition in the airline industry intensifies, effective airline service quality evaluation has become one of the main challenges. In particular, as big data analytics has been touted as a new research paradigm, new research on service quality measurement using online review analysis has been attempted. However, these studies do not use review titles for analysis, relyon supervised learning that requires a lot of human intervention in learning, and do not consider airline characteristics in classifying service quality dimensions.To overcome the limitations of existing studies, this study attempts to measure airlines service quality and to classify it into the AIRQUAL service quality dimension using online review text as well as title based on self-trainingand sentiment analysis. The results show the way of effective extracting service quality dimensions of AIRQUAL from online reviews, and find that each service quality dimension have a significant effect on service satisfaction. Furthermore, the effect of review title on service satisfaction is also found to be significant. This study sheds new light on service quality measurement in airline industry by using an advanced analytical approach to analyze effects of service quality on customer satisfaction. This study also helps managers who want to improve customer satisfaction by providing high quality service in airline industry.

• Spatial Information Research
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• v.19 no.4
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• pp.33-43
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• 2011

Countries all over the world have been operating various certification systems to protect their consumers, and these systems have become trade barriers between countries. Also, KS and KCC were not designed to reflect characteristics of Geo-Spatial Information Device. The purpose of this study was to derive the plan of Quality Certification System for Geo-Spatial Information Device through the analyses of the existing Quality Certification System. The results of this study were as follows. Firstly, we defined the concept of Quality Certification System for Geo-Spatial Information Device. Secondly, we set the boundary, factors and process of Quality Certification System for Geo-Spatial Information Device through classifying it in detail. Lastly, we suggested about fundamental concept of Quality Certification System for Geo-Spatial Information Device a the analyses of the existing Quality Certification System.

• Food Science and Preservation
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• v.17 no.3
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• pp.370-375
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• 2010

Cherries (Prunus avium L) were selected at the light red (LR) and dark red (DR) stages of maturation. Soluble solid content and the physicochemical properties of fresh 'Bing' cherries were analyzed to identify an instrumental nondestructive attribute reflecting changes in sweetness. Soluble solid content was significantly correlated with various physicochemical properties (firmness, color, and acid level) in LR-stage cherries. In DR-stage cherries, only firmness was positively correlated with soluble solid content. A positive correlation was found between soluble solid content and firmness of 200 randomly selected cherries. Thus, flesh firmness may be a useful quality factor indicating potential consumer acceptance of 'Bing' cherries.

• Proceedings of the Korean Society of Laser Processing Conference
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• 2003.05a
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• pp.39-42
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• 2003

• The Hankook-Saengyark Bo
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• no.259
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• pp.6-6
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• 2004

`생약초 건강특구` 추진(완도군 약산면 일대 생약자원 풍성) - WHO, 전통약재 안전 가이드라인 발표(약초재배와 수집, 분류, 품질관리 등 다양한 권고사항 담아)

• Proceedings of the Korea Technology Innovation Society Conference
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• 2001.11a
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• pp.141-168
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• 2001

본 연구는 초고속인터넷 접속서비스에서 $\ulcorner$서비스 품질$\longrightarrow$고객만족$\longrightarrow$재구매의도(고객충성도)$\lrcorner$의 일반적인 인과관계가 적용되는지를 규명하고, 고객만족, 재구매의도와 고객충성도에 영향을 미치는 서비스 품질속성을 살펴보면서, 궁극적으로 품질속성 중 고객유지와 충성도를 향상시키는 핵심 품질요소를 도출하기 위한 모형을 이론적으로 제시하고, 그 모형의 유효성을 설문조사와 이에 대한 실증분석을 통해 평가하는데 목적이 있다. 모형을 검증하기 위하여 세 단계의 분석과정을 수행하였다. 첫째, 전반적 서비스 품질과 고객만족, 재구매의도(또는 고객충성도), 그러고 고객만족과 재구매의도 및 고객충성도의 상호관계를 검증하였다. 둘째, 고객만족, 재구매의도 및 고객충성도에 영향을 미치는 선행변수인 품질속성(서비스 성능, 서비스 지원, 부가서비스, 이용요금, 과금, 절차 편리성)들의 영향력을 검증하였다. 마지막으로 공통적 개념으로 분류된 품질속성이 개별적인 품질요소의 미세한 차이를 제대로 반영하지 못하는 단점을 극복하고, 고객유지와 충성도 향상을 위한 핵심 품질요소를 도출하기 위하여 품질속성을 대표하는 품질요소들과 재구매의도와 고객충성도의 상관관계를 살펴보았다. 초고속인터넷 접속서비스 이용자를 대상으로 웹설문조사를 실시하여 총 551 개의 표본을 분석에 사용하였으며, 분석결과는 다음과 같다. 첫째, 서비스 품질은 재구매의도와 고객충성도에 비해 고객만족에 높은 설명력을 갖고 있으며, 재구매의도에 대한 서비스 품질과 고객만족의 설명력은 미미한 것으로 나타나, 고객만족이 더 높은 설명력을 갖는다는 기존의 연구와 차이를 보여 향후 추가적인 연구의 필요성이 제기되었다. 둘째, 여섯 가지의 품질속성들 중 서비스 이용과정에서 1, 2 회의 적은 경험을 하게 되는 서비스 이용절차의 편리성을 제외하곤 나머지 속성 모두 고객만족, 재구매의도 및 고객충성도의 선행변수로써 영향을 미치고 있는 것으로 나타났다. 그러나 절차 편리성은 고객충성도에 유의한 영향을 미치는 것으로 나타나, 충성도는 고객이 서비스를 총체적인 관점에서 평가하고 나타나는 행동이라는 시사점을 얻었다. 셋째, 재구매의도와 고객충성도를 결정하는 품질요소로서는 서비스 안정성, 불만사항 처리결과, 회사의 이미지, 다양한 부가서비스가 도출되었다. 본 연구의 결과는 초고속인터넷 접속서비스의 품질 및 결과변수들에 대한 인과관계를 분석하였다. 그리고 경쟁이 치열해지는 시장 환경에서 미래의 재무적 성과와 수익성을 보장하는 충성스런 고객을 확보하기 위하여 필수적으로 관리되어야 할 핵심 품질요소의 제시와 이에 따른 제언을 하였기 때문에 사업자들이 품질 및 마케팅 전략을 수립함에 있어서 이론적, 실무적 근거를 제공하여 준다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.671-678
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• 2021

In a previous study, technology protection levels were set on a qualitative basis. That study lacked quantitative standards, so here, we conduct a study to complement the previous study and to present an objective standard. This paper provides a method of setting a technical protection level that applies statistical analysis. To set the technology protection level, statistical analysis of six technical survey items is performed first. Second, the technical survey items are analyzed by AHP to quantify the opinions of experts in order to derive weights for each technical survey item. Finally, by using the normal distribution scatter map and median calculation method, the technology protection level is selected in three stages using the final detailed factor technology score reflecting the weight. The technology protection level methodology developed through this study is the first methodology with objectivity that can evaluate defense technology by level. If this methodology is applied in practice, it is believed that it will provide a scientific and quantitative technology value judgment criterion when setting the technology protection level in the future.