• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.5
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• pp.738-744
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• 2016

Current rating of a power cable can be calculated by the maximum allowable temperature in an insulating material considering the heat transfer from cable conductor. Therefore, it is very important to calculate the current rating using electrical equivalent circuit by calculated cable thermal circuit parameters but, it has not been fully investigated yet. In this paper, in order to determine the current rating of power cable, conventional calculation method has been reviewed considering the conductor resistance, loss factor of sheath, dielectric losses and thermal resistances based on the maximum allowable temperature of 345 kV $2500mm^2$ XLPE cable. To confirm the calculation result of the current rating, the conductor temperature should be examined whether it reaches the maximum allowable temperature by the thermal equivalent circuit of the cable. Then, utilizing EMTP (Electro-Magnetic Transient Program) which is a conventional program for electrical circuit, the thermal equivalent circuit was transformed to an electric equivalent circuit using an analogous relationship between thermal circuit and electrical circuit, and temperature condition including cable conductor, sheath, cable jacket could be calculated by the current rating of 345 kV $2500mm^2$ XLPE cable.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.65-75
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• 2021

This study explores multiple variables of an OTT service for discovering hidden relationship between rating and the other variables of each successful and failed content, respectively. In order to extract key variables that are strongly correlated to the rating across the contents, this work analyzes 170 Netflix original dramas and 419 movies. These contents are classified as success and failure by using the rating site IMDb, respectively. The correlation between the contents, which are classified via rating, and variables such as violence, lewdness and running time are analyzed to determine whether a certain variable appears or not in each successful and failure content. This study employs a regression analysis to discover correlations across the variables as a main analysis method. Since the correlation between independent variables should be low, check multicollinearity and select the variable. Cook's distance is used to detect and remove outliers. To improve the accuracy of the model, a variable selection based on AIC(Akaike Information Criterion) is performed. Finally, the basic assumptions of regression analysis are identified by residual diagnosis and Dubin Watson test. According to the whole analysis process, it is concluded that the more director awards exist and the less immatatable tend to be successful in movies. On the contrary, lower fear tend to be failure in movies. In case of dramas, there are close correlations between failure dramas and lower violence, higher fear, higher drugs.

• Economic and Environmental Geology
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• v.43 no.4
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• pp.381-391
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• 2010

Probabilistic prediction methods of landslides which have been developed in recent can be reliable with premise of detailed survey and analysis based on deep and special knowledge. However, landslide susceptibility should also be analyzed with some reliable and simple methods by various people such as government officials and engineering geologists who do not have deep statistical knowledge at the moment of hazards. Therefore, this study suggests an evaluation chart of landslide susceptibility with high reliability drawn by accurate statistical approaches, which the chart can be understood easily and utilized for both specialists and non-specialists. The evaluation chart was developed by a quantification method based on canonical correlation analysis using the data of geology, topography, and soil property of landslides in Korea. This study analyzed field data and laboratory test results and determined influential factors and rating values of each factor. The quantification analysis result shows that slope angle has the highest significance among the factors and elevation, permeability coefficient, porosity, lithology, and dry density are important in descending order. Based on the score assigned to each evaluation factor, an evaluation chart of landslide susceptibility was developed with rating values in each class of a factor. It is possible for an analyst to identify susceptibility degree of a landslide by checking each property of an evaluation factor and calculating sum of the rating values. This result can also be used to draw landslide susceptibility maps based on GIS techniques.

• Journal of Korean Tunnelling and Underground Space Association
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• v.14 no.5
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• pp.503-516
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• 2012

Rock mass rating (RMR) is the key factor when designing the appropriate support pattern of tunnel projects. Borehole drilling is usually performed along the tunnel route in order to determine the rock mass rating to be used for tunnel design. The rock mass rating at the non-boring region between boreholes is usually assessed through geophysical surveys such as electrical prospecting, seismic prospecting, etc. Many studies were carried out to find out the correlation between electrical resistivity and rock mass rating. However, most researches were aimed at obtaining the relationship between the two parameters utilizing experimental results obtained from laboratory tests or electrical prospectings. In this paper, efforts were made to analyze and obtain relationships between the electrical resistivity obtained from in-situ electrical resistivity logging data and the rock mass rating. Correlation studies using field data showed that the electrical resistivity is highly correlated with the rock mass rating with the determination coefficient more than 90%. The correlation analysis was also carried out between RMR classification parameters and the electrical resistivity. It was shown that the correlation between the condition of discontinuities and the electrical resistivity was very high with the determination coefficient more than 80%; that between the groundwater condition and the electrical resistivity was very low with the determination coefficient less than 57%.

• Journal of Internet Computing and Services
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• v.18 no.3
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• pp.19-28
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• 2017

Collaborative filtering (CF) is a system that interprets the relationship between a user and a product and recommends the product to a specific user. The CF model is advantageous in that it can recommend products to users with only rating data without any additional information such as contents. However, there are many cases where a user does not give a rating even after consuming the product as well as consuming only a small portion of the total product. This means that the number of ratings observed is very small and the user rating matrix is very sparse. The sparsity of this rating data poses a problem in raising CF performance. In this paper, we concentrate on raising the performance of latent factor model (especially SVD). We propose a new model that includes product similarity information and co occurrence information in SVD. The similarity and concurrence information obtained from the rating data increased the expressiveness of the latent space in terms of latent factors. Thus, Recall increased by 16% and Precision and NDCG increased by 8% and 7%, respectively. The proposed method of the paper will show better performance than the existing method when combined with other recommender systems in the future.

• Journal of the Korean Home Economics Association
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• v.50 no.7
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• pp.109-116
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• 2012

The purpose of this study is to develop a scale for evaluation of Parent's Literacy Interaction Rating Scale (PLIRS) for preschool children and to examine its validity and reliability. The participants of this study were 342 Korean mothers with children of 3 to 5 year olds. The methods for data analysis included item analysis, factor analysis for construct validity, Pearson correlations between PLIRS and two sub tests of EC-HOME for concurrent validity, and Cronbach's ${\alpha}$ for reliability. The item discrimination was determined by comparing the highest and lowest groups using Chi-square (${\chi}^2$), and Cramer's V. The 25 items of the scale were found to be satisfactory in item discrimination. The concurrent validity was also identified by correlation between PLIRS and two sub tests of EC-HOME. Factor analysis revealed that the structure of the PLIRS consisted of three factors: 'open interaction', 'directive interaction', and 'picture-book reading interaction'. 'Open interaction' is based on 'Whole Language Approach', such as 'I have my child write as he/she likes even if they spell wrongly.' 'Directive interaction' is based on 'Code Emphasis Approach', such as 'I have my child take dictation.' 'Picture-book reading interaction' is how parents read picture-book with her/his children, such as 'When I read a picture book to my child, I ask various questions about a book story.' The Cronbach's ${\alpha}$ for internal consistency reliability range was .78 to .87 for three subscales. It was concluded that PLIRS was valid and reliable to examine the literacy interaction between parents and children in home.

• KIEAE Journal
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• v.15 no.2
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• pp.103-107
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• 2015

Purpose: Since September 1st, 2013, subjects of the evaluation have been expanded, and the evaluation standard has been detailed to enable Building energy rating system for all buildings. Accordingly, the new evaluation program (ECO2) has been developed, and therefore, apartment applied after September 1st, 2013 were evaluated with the new evaluation program. Therefore, this research suggests the improvement plan to figure out reasons for the evaluation result calculation and to calculate the evaluation results close to the actual energy usage by analyzing and comparing primary energy consumption as a result of the new evaluation program (ECO2) and actual heating energy usage on the same building. Method: When comparing evaluation results of the new evaluation program (ECO2) and actual heating energy usage, the tendency was similar but different. Also when comparing seasonally, the tendency was similar, but the different between actual heating energy usage and primary energy consumption during winter is greater than during spring or fall, and when comparing seasonal electric usage, heating alternatives were used through increased electrical usage during winter compared to during spring or fall. Result: Therefore, when evaluating apartment with the new program (ECO2) in the future, evaluation items relevant to the use of heating alternatives should be added, and the modification factor should be added according to the region. Based on the evaluation results of the research and actual energy usage, the Modification factors of the central part and the southern part were calculated respectively as 0.5 and 0.8.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.10
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• pp.4339-4347
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• 2014

Purpose: This study aimed at exploring treatment delay (TD) among cancer patients in China with an attempt to develop a practical methodology facilitating frontline Chinese clinicians in promoting earlier cancer diagnosis and treatment. Materials and Methods: The study comprised framework development, qualitative interviews and paired factor rating. Framework development utilized systematic literature review, soft systems thinking and consensus groups. Qualitative interviews employed a checklist of open questions soliciting information about all the domains included the framework from cancer patients drawn via stratified randomized sampling of inpatients at 10 hospitals in Hefei, China. Paired factor rating used a self-developed computer aid and the interviewed patients as referring cases to weigh the relative importance of the factors listed in the framework in terms of their contributions to specific components of total delay (TD). Results: a) A conceptual framework was proposed consisting of a 6-step path to TD and 36 category determinants. b) A total of 227 patients were interviewed; their TD was 267.3 mean or 108 median days ranging from 0 to 2475 days; average appraisal, illness, behavioral, preparation and treatment delay accounted for 52.1%, 9.4%, 0.30%, 8.8% and 29.4% of the TD respectively. Individual side factors were rated substantially more important than environmental side factors (60% vs. 40%); most influential TD factors included cancer symptoms, overall health, family relations and knowledge about cancer and health. Conclusions: The framework proposed together with the interviewing and rating approaches used provide a potential new methodology for understanding cancer patients' TD and promoting earlier cancer treatment.

• Science of Emotion and Sensibility
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• v.5 no.1
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• pp.61-70
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• 2002

The purpose of this study was to develop 'Emotion Rating Scale induced by Odors'and to identify the structure of odor emotion induced by odors. At first 37 adjectives that describe odor to develop a rating scale were selected. Subjects were to rate odor emotion on a 7-point bipolar scale. 304 subjects participated and were as a group instructed to rate odor emotion. 53 out of 304 subjects were retested to test for reliability of the scale two weeks after under the same condition and finally 25 adjectives were then selected based on high test-retest reliability and factor loading, high contributing to one factor. 24 subjects each in 10s, 20s, 30s & 40s were to rate odor emotion induced by 5 different odors on the scale developed. The structure of odor emotion consisted of 'Esthetics', 'Intensity', 'Romance', 'Nature'and 'Character'. The structure of odor emotion by age appeared quite similar but that by different odors was little bit different.

• Safety and Health at Work
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• v.9 no.2
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• pp.140-143
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• 2018

Background: The Occupational Safety and Health Monitoring and Assessment Tool (OSH-MAT) is a practical instrument that is currently used in the German woodworking and metalworking industries to monitor safety conditions at workplaces. The 12-item scoring system has three subscales rating technical, organizational, and personnel-related conditions in a company. Each item has a rating value ranging from 1 to 9, with higher values indicating higher standard of safety conditions. Methods: The reliability of this instrument was evaluated in a cross-sectional survey among 128 companies and its validity among 30,514 companies. The inter-rater reliability of the instrument was examined independently and simultaneously by two well-trained safety engineers. Agreement between the double ratings was quantified by the intraclass correlation coefficient and absolute agreement of the rating values. The content validity of the OSH-MAT was evaluated by quantifying the association between OSH-MAT values and 5-year average injury rates by Poisson regression analysis adjusted for the size of the companies and industrial sectors. The construct validity of OSH-MAT was examined by principle component factor analysis. Results: Our analysis indicated good to very good inter-rater reliability (intraclass correlation coefficient = 0.64-0.74) of OSH-MAT values with an absolute agreement of between 72% and 81%. Factor analysis identified three component subscales that met exactly the structure theory of this instrument. The Poisson regression analysis demonstrated a statistically significant exposure-response relationship between OSH-MAT values and the 5-year average injury rates. Conclusion: These analyses indicate that OSH-MAT is a valid and reliable instrument that can be used effectively to monitor safety conditions at workplaces.