• Title/Summary/Keyword: Traditional Statistical

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An Analysis of Land Cover Classification Methods Using IKONOS Satellite Image (IKONOS 영상을 이용한 토지피복분류 기법 분석)

  • Kang, Nam Yi;Pak, Jung Gi;Cho, Gi Sung;Yeu, Yeon
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.3
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    • pp.65-71
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    • 2012
  • Recently the high-resolution satellite images are helpfully using the land cover, status data for the natural resources or environment management. The effective satellite analysis process for these satellite images that require high investment can be increase the effectiveness has become increasingly important. In this Study, the statistical value of the training data is calculated and analyzed during the preprocessing. Also, that is explained about the maximum likelihood classification of traditional classification method, artificial neural network (ANN) classification method and Support Vector Machines(SVM) classification method and then the IKONOS high-resolution satellite imagery was produced the land cover map using each classification method. Each result data had to analyze the accuracy through the error matrix. The results of this study prove that SVM classification method can be good alternative of the total accuracy of about 86% than other classification method.

Reliability of Q-Ray View for Assessing Retention Status of Pit and Fissure Sealant (Q-Ray View를 이용한 치면열구전색재의 유지상태 평가)

  • Nam, Sang-Mi;Ku, Hye-Min;Lee, Eun-Song;Kim, Baek-Il
    • The Journal of the Korean dental association
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    • v.58 no.3
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    • pp.140-151
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    • 2020
  • Purpose: To evaluate reliability of Q-ray view (Aiobio Inc,. Seoul, Korea) for assessing retention status of pit and fissure sealants. Methods: Pit and fissure sealants of 58 permanent molars from 15 third-grade students were examined. Posterior teeth with ≥1 pit and fissure sealants applied to the occlusal surface for >6 months were examined. The teeth were examined using traditional visual-tactile assessments and combined Q-ray view. Pit and fissure sealants were evaluated by assessing marginal plaque, marginal discoloration, marginal integrity, retention, and presence of caries. Fleiss kappa and Cohen's kappa values were calculated to compare inter- and intrarater agreements between visual-tactile and combined Q-ray view assessments. Results: Regarding interrater agreement in visual-tactile assessments, K values of Cohen's kappa for marginal plaque, marginal discoloration, and presence of caries were 0.22-0.57, 0.36-0.57, and 0.43-0.61, respectively, and agreements ranged from slight to moderate. When combined with Q-ray view, the values were 0.81-0.89, 0.69-0.88, and 0.80-0.90, respectively, and agreements ranged from substantial to nearly perfect level, indicating statistical significance. Marginal plaque (0.81-0.83), marginal discoloration (0.57-0.89), and presence of caries (0.69-0.91) showed higher agreements in combined Q-ray view than in visual-tactile assessments, and kappa values of marginal plaques were significantly higher in combined Q-ray view than in visual-tactile assessments. Conclusion: Evaluating retention status of pit and fissure sealants using Q-ray view showed higher reliability than using visual/tactile assessments for marginal plaque, marginal discoloration, and presence of caries. Therefore, Q-ray view may be used to assess the retention status of pit and fissure sealants.

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State detection of explosive welding structure by dual-tree complex wavelet transform based permutation entropy

  • Si, Yue;Zhang, ZhouSuo;Cheng, Wei;Yuan, FeiChen
    • Steel and Composite Structures
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    • v.19 no.3
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    • pp.569-583
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    • 2015
  • Recent years, explosive welding structures have been widely used in many engineering fields. The bonding state detection of explosive welding structures is significant to prevent unscheduled failures and even catastrophic accidents. However, this task still faces challenges due to the complexity of the bonding interface. In this paper, a new method called dual-tree complex wavelet transform based permutation entropy (DTCWT-PE) is proposed to detect bonding state of such structures. Benefiting from the complex analytical wavelet function, the dual-tree complex wavelet transform (DTCWT) has better shift invariance and reduced spectral aliasing compared with the traditional wavelet transform. All those characters are good for characterizing the vibration response signals. Furthermore, as a statistical measure, permutation entropy (PE) quantifies the complexity of non-stationary signals through phase space reconstruction, and thus it can be used as a viable tool to detect the change of bonding state. In order to more accurate identification and detection of bonding state, PE values derived from DTCWT coefficients are proposed to extract the state information from the vibration response signal of explosive welding structure, and then the extracted PE values serve as input vectors of support vector machine (SVM) to identify the bonding state of the structure. The experiments on bonding state detection of explosive welding pipes are presented to illustrate the feasibility and effectiveness of the proposed method.

Comparison of Dietary Externalization in Korea and Japan -by Principal Component Analysis- (식생활 외부화에 관한 한일 비교 연구 -주성분 분석을 이용하여-)

  • Choi Hyun-Sook
    • Journal of the East Asian Society of Dietary Life
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    • v.16 no.1
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    • pp.23-28
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    • 2006
  • The purpose of this paper was to clarify the actual conditions of the 'Dietary externalization' mainly by using the economic and nutrition-related data, accompanied by the economic development in Korea and Japan. 'Modernization of food style' and other modernization have taken place, among which 'Dietary externalization' in particular has recently drawn interest. At the time this paper clarified with econometric analysis whether there are differences between the two countries in term of the modernization of food style and dietary externalization trend. The trends of Dietary externalization of both Korea and Japan were studied using Principal Component Analysis method. The food subgroup were investigated based on the annual report on the household income and expenditure survey of Korea and the annual report on the family income and expenditure survey of Japan. The statistical data from both country were analyzed by SAS program. The results are as follows; 1. In Korea, the ratio of carbohydrates in the total calorie intake is quite high and animal protein is rather low compared to those in Japan. 2. Traditional food such as grains and vegetables are consumed much more in Korea than in Japan. 3. The Principal Component 1, 2 were extracted in both countries during the whole analysis period, which suggested the 'Dietary externalization' 4. Principal Component 1 has a positive factor loaded in all food items including meals outside the home and process food. In other words, it is apparent that the 'Dietary externalization' tread in Korea has a simple pattern suggesting that all externalization related items are on the rise. 5. Principal component 1, 2 which indicated the dietary externalization, were detected in Japan.

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Antioxidant and Anti-inflammatory Activities of Tetragonia tetragonoides Water Extract (번행초 추출물의 항산화 및 항염증 효과)

  • Kong, Ji Hyun;Lee, Ki Yeon;Rho, Dae Hyun;Lee, Jang-Cheon;An, Won Gun;Lee, Boo-Kyun
    • Herbal Formula Science
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    • v.28 no.2
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    • pp.137-145
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    • 2020
  • Objectives : Tetragonia tetragonioides is one of the traditional herbal medicines that can be used to protect the stomach and treat cancer. However, its mechanism of overcoming gastrointestinal disorders is unclear. In this study, we investigated antioxidant and anti-inflammatory effects of Tetragonia tetragonioides Water Extract (TTWE) on RAW264.7 cells. Methods : The cell viability by TTWE was measured by using MTT assay. The free radical scavenging ability and cytokine production were analyzed by using ELISA Kit. SPSS version 25 was used for statistical analysis. Results : According to the results of this study, the cell viability measurement of TTWE significantly affected the cell viability. The radical scavenging ability of TTWE showed the highest effect compared to the positive control group when the concentration was 3.1-12.5 ㎍/ml, and significantly inhibited NO production induced by LPS. In addition, the inhibitory effect of TTWE on the production of IL-6 and TNF-α induced by LPS was significant at both TTWE concentrations of 12.5 ㎍/ml [p <0.01 (IL-6), p <0.05 (TNF-α)]. Conclusion : In conclusion, it is suggested that the antioxidant function of Tetragonia tetragonioides Water Extract could be used to prevent and treat inflammatory diseases.

Effects of authentic leadership on organizational commitment for employees (진성리더십이 종업원의 직무만족 및 조직몰입에 미치는 영향)

  • Lee, Hong-Ki
    • Journal of Digital Convergence
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    • v.12 no.5
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    • pp.181-190
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    • 2014
  • Authentic leadership emphasizes not only increases of production and profits but also establishment of morals and authentic in organizational management. In modern management theories, traditional so-called pseudo-leadership, which focuses on maximizing financial profits, are gradually diminishing as the importance of authentic leadership are widely accepted in various organizations. However, a few researches have focused on organizational outcome produced by authentic leadership. In this research, the relationship between authentic leadership and organizational commitment is examined in an endeavor to present the direction of leadership-related researches. Results include: first, the reliabilities of survey tools for authentic leadership, job commitment and organizational commitment were excellent using Cronbach's alpha; second, relationships between authentic leadership, job commitment and organizational commitment indicated positive correlations showing statistical significance in job commitment and organizational commitment; and finally, the relationship between job commitment and organizational commitment were positive by regression analysis.

Social Media Uses: ethical factors and the effects for teenagers (소셜 미디어 이용: 청소년 대상 윤리적 요인과 그 영향)

  • Lee, Hyun-Suk
    • Journal of Digital Convergence
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    • v.15 no.12
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    • pp.477-487
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    • 2017
  • This study is for empirical analyzing the ethical contents in using social media, such as what kind of ethical responsibility do the teenage users have, how do they recognize the ethical concept in producing or sharing the information and how these ethical factors affect their behavior of social media uses. After survey with the structured questionnaire, statistical analyses with available 227 cases are processed. As a result, there are 4 ethical factors in using social media which as included 'privacy', 'copyright', 'fullness', 'accuracy', 'truth-telling', 'fairness', 'relief of harmful effect', 'credibility', 'objectivity', 'impartiality', included 'moderation', 'respect', 'autonomy', 'control', 'care of mischief', included 'interactivity', 'multiplicity', 'anonymity', 'divergence', 'social community', included 'transparency', 'openness'. All these ethical factors are positive correlated to the level of social media users' opinion expression, opinion support, information leading, information searching. Especially, is the most effective factor to social media users' behavior.

Design of an Efficient Lossless CODEC for Wavelet Coefficients (웨이블릿 계수에 대한 효율적인 무손실 부호화 및 복호화기 설계)

  • Lee, Seonyoung;Kyeongsoon Cho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.40 no.5
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    • pp.335-344
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    • 2003
  • The image compression based on discrete wavelet transform has been widely accepted in industry since it shows no block artifacts and provides a better image quality when compressed to low bits per pixel, compared to the traditional JPEG. The coefficients generated by discrete wavelet transform are quantized to reduce the number of code bits to represent them. After quantization, lossless coding processes are usually applied to make further reduction. This paper presents a new and efficient lossless coding algorithm for quantified wavelet coefficients based on the statistical properties of the coefficients. Combined with discrete wavelet transform and quantization processes, our algorithm has been implemented as an image compression chip, using 0.5${\mu}{\textrm}{m}$ standard cells. The experimental results show the efficiency and performance of the resulting chip.

Analysis of Consulting Research Trends Using Topic Modeling (토픽 모델링을 활용한 컨설팅 연구동향 분석)

  • Kim, Min Kwan;Lee, Yong;Han, Chang Hee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.4
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    • pp.46-54
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    • 2017
  • 'Consulting', which is the main research topic of the knowledge service industry, is a field of study that is essential for the growth and development of companies and proliferation to specialized fields. However, it is difficult to grasp the current status of international research related to consulting, mainly on which topics are being studied, and what are the latest research topics. The purpose of this study is to analyze the research trends of academic research related to 'consulting' by applying quantitative analysis such as topic modeling and statistic analysis. In this study, we collected statistical data related to consulting in the Scopus DB of Elsevier, which is a representative academic database, and conducted a quantitative analysis on 15,888 documents. We scientifically analyzed the research trends related to consulting based on the bibliographic data of academic research published all over the world. Specifically, the trends of the number of articles published in the major countries including Korea, the author key word trend, and the research topic trend were compared by country and year. This study is significant in that it presents the result of quantitative analysis based on bibliographic data in the academic DB in order to scientifically analyze the trend of academic research related to consulting. Especially, it is meaningful that the traditional frequency-based quantitative bibliographic analysis method and the text mining (topic modeling) technique are used together and analyzed. The results of this study can be used as a tool to guide the direction of research in consulting field. It is expected that it will help to predict the promising field, changes and trends of consulting industry related research through the trend analysis.

Analysis of Customer Expectation and Satisfaction for New Menus in Multi-Chain Family Restaurants (패밀리 레스토랑 신메뉴에 대한 고객의 기대도와 만족도 분석)

  • Lee Min-A;Yang Il-Sun
    • Korean Journal of Community Nutrition
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    • v.9 no.6
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    • pp.734-741
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    • 2004
  • The purposes of this study were 1) to understand customers' expectations and satisfaction on menus in family restaurants, 2) to compare customer satisfaction and brand image for positioning new menus, and 3) to analyze customer satisfaction and loyalty to each menu. From May 8th to 28th, 2004, a total of 3,594 membership customers responded to the email survey. Statistical analyses such as t-test, ANOVA and Pearson Correlation were performed using SPSS 12.0. The results of this study consist of four major parts: general findings, customer expectation analysis, new menu positioning and customer satisfaction analysis. The customer expectation analysis discovered that taste was the most expected attribute in menus of family restaurants, followed by quantity, appearance and price. Statistically different expectations existed among different customer groups categorized by their general characteristics including demographics. Also, high correlations existed among the expectations over all the attributes: food quality, shape, quantity and price of food. Over all the attributes, customer expectation was higher than customer satisfaction. Thus, a discrepancy existed between expectation and satisfaction. Positioning of new menus was determined by brand image and customer satisfaction. Lastly, the customer satisfaction analysis revealed that customers in different gender and age have different satisfaction. In addition, high correlation existed between satisfaction and loyalty on new menus of a family restaurant. In consequence, the research findings suggest managers should understand customer expectation and satisfaction and reposition their menus regularly by menu engineering.