• Title/Summary/Keyword: Usage analysis

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A Analysis of Patients Using Korean Medicine Clinics -Analysis of Outpatients and Inpatients by Age, Sex and Regions- (한방의료기관에서 치료하는 환자의 의료이용분석 -외래 및 재원입원환자의 성, 연령, 지역별 분석을 중심으로-)

  • Choi, Sung-Yong;Shin, Hyun-Kyu;Park, Hae-Mo;Lee, Sun-Dong
    • Journal of Society of Preventive Korean Medicine
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    • v.16 no.2
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    • pp.67-81
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    • 2012
  • Objective : This study aimed to analyze the utilization of Korean Medicine clinics, and high-frequent diseases by sex, age, and region of outpatients and inpatients Methods : The data for this study were "Report on Usage Patterns of Korean Medicine Clinics" issued by the Ministry of Health and Welfare in 2008. Descriptive analysis and correspondence analysis were used to find the patterns of patient's utilization by sex, age and region Results : Diagnosis and examination methods mostly consisted of the pulse for diagnosis. Treatment methods consisted of acupuncture, medical herbs in package, and insurance extract powder. Fee for consultation was paid by Korean Medicine insurance. Usage increased when people's age was over 20 and climaxed among people who were in their 40s and 50s and decreased gradually afterwards. Also, there were differences between the sexes. There were differences in high-frequent diseases by regions, and in usage of Korean Medicine clinics according to sex and age. Conclusion : It was found that there were differences in usage and patterns of Korean Medicine Clinics according to sex, age, and region.

A Study on the Analysis of Factors that Influence Internet Usage of Adolescence (청소년 시기의 인터넷 사용에 영향을 미치는 요인 분석 연구)

  • Yun, You-Dong;Ji, Hye-Sung;Lim, Heui-Seok
    • The Journal of Korean Association of Computer Education
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    • v.19 no.5
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    • pp.55-71
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    • 2016
  • Recently, Internet addiction problem has arised due to increasing negative effects about excessive internet use among youth. In this study, by utilizing the '11th youth health behaviors online survey data', we discuss the countermeasures for excessive internet usage of adolescence based on various analysis. we examined the effects of demographic characteristic factors, psychological factors, behavioral factors on internet usage of adolescence. As a result, it was confirmed that there were various variables that influenced adolescent internet usage which were not approached in previous researches. And through these results, we can confirm these variables. In addition, we can also provide countermeasures on excessive internet usages by that of adolescents.

Synonymous Codon Usage Analysis of the Mycobacteriophage Bxz1 and Its Plating Bacteria M. smegmatis: Identification of Highly and Lowly Expressed Genes of Bxz1 and the Possible Function of Its tRNA Species

  • Sahu, Keya;Gupta, Sanjib Kumar;Ghosh, Tapash Chandra;Sau, Subrata
    • BMB Reports
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    • v.37 no.4
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    • pp.487-492
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    • 2004
  • The extent of codon usage in the protein coding genes of the mycobacteriophage, Bxz1, and its plating bacteria, M. smegmatis, were determined, and it was observed that the codons ending with either G and / or C were predominant in both the organisms. Multivariate statistical analysis showed that in both organisms, the genes were separated along the first major explanatory axis according to their expression levels and their genomic GC content at the synonymous third positions of the codons. The second major explanatory axis differentiates the genes according to their genome type. A comparison of the relative synonymous codon usage between 20 highly- and 20 lowly expressed genes from Bxz1 identified 21 codons, which are statistically over represented in the former group of genes. Further analysis found that the Bxz1- specific tRNA species could recognize 13 out of the 21 over represented synonymous codons, which incorporated 13 amino acid residues preferentially into the highly expressed proteins of Bxz1. In contrast, seven amino acid residues were preferentially incorporated into the lowly expressed proteins by 10 other tRNA species of Bxz1. This analysis predicts for the first time that the Bxz1-specific tRNA species modulates the optimal expression of its proteins during development.

Analysis of Smartphone Quality Attributes According to User Tendency (사용자 성향에 따른 스마트폰 품질특성 분석)

  • Parkg, Jong Hun;Lee, Sang Cheon;Hong, Jung-Sik
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.4
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    • pp.153-164
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    • 2019
  • Since the appearance of smartphones, the smartphone market has been in fierce completion by new technologies and marketing trends. The smartphone market is now somewhat saturated, and the manufacturers are trying to improve their position in the market through the repurchase of existing customers and the influx of competitors. At the same time, customers have their own purchasing criteria for smartphones. Therefore, manufacturers need to determine new technology and marketing trends based on customer purchasing trends and usage characteristics. The aim of this study is to analyze the quality attributes of smartphones. We conducted a survey on 220 respondents, and divided the respondents into several groups by purchasing trends and usage characteristic through cluster analysis. The groups are analyzed and compared based on the Kano model for the quality attributes of smartphone. The analysis result are as follows. Firstly, purchasing trends divide responders into groups that prefers high-end premium smartphones and those that take into account practicality in terms of purchasing trends. Secondly, usage characteristic divide responders into three groups: those with clear usage pattern, those who prefer ease of use, and the rest, and we find out that those with clear usage pattern are important customer in viral marketing. Lastly, Kano analysis is revealed the 'Slow/hi-speed camera', 'Private mode', 'Widget', 'Health care' are attractive quality attributes.

A Study on Feasibility Analysis and Optimum Range Calculation Model by Conversion of Water Supply System (상수도 급수방식 전환의 타당성 분석 및 최적 범위 산정모델 연구)

  • Park, Junyeol;Shin, Hwisu;Seo, Jeewon;Kim, Kibum;Koo, Jayong
    • Journal of Korean Society of Water and Wastewater
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    • v.31 no.2
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    • pp.177-186
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    • 2017
  • This study concerned the analysis on the efficiency of the conversion of water tank type supply system to direct water supply system to examine the feasibility of the conversion, as well as the calculation of optimal conversion range that enables the supply of safe, high-quality water at stable pressure in accordance with the standards of water supply facility. The results of this research showed that when converting water supply system from water tank type supply system to direct water supply system, more nodal points could be properly converted and more reduction of electricity usage was expected in case water pressure rather than residence time was fixed. This means that higher efficacy can be obtained by fixing water pressure when converting water supply system. However, since the number of the locations that received on-spot inspection was small and the electricity usage measured was not exclusively by water supply facility, it is difficult to judge that such reduction of electricity usage accurately represents reduced electricity usage by water supply facility alone. therefore, after having secured on-spot information about a larger number of locations in apartment complexes that have converted water supply system, and utilizing information about electricity usage exclusively by water supply facility, the proposed method of this research could be applied to accurately deducing expected reduction of electricity usage by water supply facilities of various other apartment complexes. It is also considered possible to deduce an effective operation method of water supply system by finding out an area that shows low pressure or low residual chlorine concentration in the optimal conversion range of water supply, followed by estimating the proper location of pumping station or the proper chlorine dosage at the power purification plant that supply water to the target area.

Insights into factors affecting synonymous codon usage in apple mosaic virus and its host adaptability

  • Pourrahim, R.;Farzadfar, Sh.
    • Journal of Plant Biotechnology
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    • v.49 no.1
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    • pp.46-60
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    • 2022
  • The genetic variability and population structure of apple mosaic virus (ApMV) have been studied; however, synonymous codon usage patterns influencing the survival rates and fitness of ApMV have not been reported. Based on phylogenetic analyses of 52 ApMV coat protein (CP) sequences obtained from apple, pear, and hazelnut, ApMV isolates were clustered into two groups. High molecular diversity in GII may indicate their recent expansion. A constant and conserved genomic composition of the CP sequences was inferred from the low codon usage bias. Nucleotide composition and relative synonymous codon usage (RSCU) analysis indicated that the ApMV CP gene is AU-rich, but G- and U-ending codons are favored while coding amino acids. This unequal use of nucleotides together with parity rule 2 and the effective number of codon (ENC) plots indicate that mutation pressure together with natural selection drives codon usage patterns in the CP gene. However, in this combination, selection pressure plays a more crucial role. Based on principal component analysis plots, ApMV seems to have originated from apple trees in Europe. However, according to the relative codon deoptimization index and codon adaptation index (CAI) analyses, ApMV exhibited the greatest fitness to hazelnut. As inferred from the results of the similarity index analysis, hazelnut has a major role in shaping ApMV RSCU patterns, which is consistent with the CAI analysis results. This study contributes to the understanding of plant virus evolution, reveals novel information about ApMV evolutionary fitness, and helps find better ApMV management strategies.

Evaluation of Field Applicability for All-In-One Smart Water Meter to Measure both Water Quantity and Quality in Office Building Water Usage (사무실 사용용수의 수량/수질 동시 측정이 가능한 일체형 스마트 워터 미터의 현장 적용성 평가)

  • Lee, Saeromi;Oh, Hyun Je;Joo, Jin Chul;Ahn, Chang Hyuk;Park, Jae Roh
    • Journal of Korean Society of Water and Wastewater
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    • v.30 no.6
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    • pp.653-662
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    • 2016
  • Recently, advanced metering infrastructure (AMI) has been recognized as a core technology of smart water grid, and the relevant market is growing constantly. In this study, we developed all-in-one smart water meter of the AMI system, which was installed on the test-bed to verify both effectiveness and field applicability in office building water usage. Developed 15 mm-diameter smart water meter is a magneto-resistive digital meter, and measures flow rate and water quality parameters (temperature, conductivity) simultaneously. As a result of the water usage analysis by installing six smart water meters on various purposes in office building water usage, the water usage in shower room showed the highest values as the 1,870 L/day and 26.6 liter per capita day (LPCD). But, the water usage in laboratory was irregular, depending on the many variables. From the analysis of the water usage based on day of the week, the water usage on Monday showed the highest value, and tended to decrease toward the weekend. According to the PCA results and multivariate statistical approaches, the shower room (Group 3) and 2 floor man's restroom sink (Group 1-3) have been classified as a separate group, and the others did not show a significant difference in both water use and water quality aspects. From the analysis of water usage measured in this study, the leak or water quality accident did not occur. Consequently, all-in-one smart water meter developed in this study can measure flow rate and water quality parameters (temperature, conductivity) simultaneously with effective field applicability in office building water usage.

A Study on Consumer Sharing Economy Service Usage Attitudes and Usage Intentions (소비자의 공유경제 서비스 이용태도 및 이용의도에 대한 연구)

  • Lee, Seung Sin
    • Human Ecology Research
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    • v.55 no.2
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    • pp.105-124
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    • 2017
  • The recent global economic crisis has resulted in increased discussion and attention on the sharing economy, a form of economic activity where individuals share currently available products. This study investigates consumer sharing economy usage attitudes and usage intentions by applying rational choice theory. For this study, an investigation that had 400 adult consumers from across Korea answer a structured questionnaire was conducted. A statistical approach using SPSS ver. 22.0 was used to analyze the data. The study found that the consumer's sharing economy value and participation levels were higher than usual. Higher than usual consumption patterns were seen for the construct of rational behavior theory. An analysis of the relative influence of variables regarding sharing economy usage intention also found that usage intention was higher for those who had experienced using a sharing economy services rather than those who did not have experience. In addition, the sharing economy usage intention also increased along with the values for subjective norms, sharing economy usage attitudes, sharing economy participation, sharing economy emotional benefits, and increased values. This study found that fundamental materials for consumer education should be made to eliminate difficulties that consumers have when they use sharing economy services. It is also expected that economic policy will develop to stimulate the sharing economy in a stable manner, that sharing economy-related information will be provided to consumers, and that consumer policies will be prepared to prevent consumer problems before they occur.

A Study on Information Attitude, Brand Attitude, Usage Satisfaction, Brand Image and Brand Loyalty of YouTube Sports Contents Viewer

  • Byun, Kyung-Won
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.206-212
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    • 2020
  • The purpose of this study is to analyze the structural relationship among information attitude, brand attitude, usage satisfaction, brand image and brand loyalty of YouTube sports Contents. The survey subjects to achieve the purpose of this study were selected the 490 YouTube sports contents Viewer in the metropolitan area. Data processing was done with SPSS 23 for frequency analysis, Cronbach's α analysis. Also, AMOS 21 was used for confirmatory factor analysis and structural equation model analysis. The results of the analysis are as follows: First, it is more effective to increase the attitude toward the brand itself rather than information attitude to use satisfaction Second, both information attitude and brand attitude were found to have a positive effect on enhancing brand image. In relation to attitude and image, it was possible to achieve research accumulation for YouTube users. Third, it was found that both the use satisfaction and the brand image presented in the previous study had a positive effect on brand loyalty.

A Study on the Energy Usage Prediction and Energy Demand Shift Model to Increase Energy Efficiency (에너지 효율 증대를 위한 에너지 사용량 예측과 에너지 수요이전 모델 연구)

  • JaeHwan Kim;SeMo Yang;KangYoon Lee
    • Journal of Internet Computing and Services
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    • v.24 no.2
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    • pp.57-66
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    • 2023
  • Currently, a new energy system is emerging that implements consumption reduction by improving energy efficiency. Accordingly, as smart grids spread, the rate system by timing is expanding. The rate system by timing is a rate system that applies different rates by season/hour to pay according to usage. In this study, external factors such as temperature/day/time/season are considered and the time series prediction model, LSTM, is used to predict energy power usage data. Based on this energy usage prediction model, energy usage charges are reduced by analyzing usage patterns for each device and transferring power energy from the maximum load time to the light load time. In order to analyze the usage pattern for each device, a clustering technique is used to learn and classify the usage pattern of the device by time. In summary, this study predicts usage and usage fees based on the user's power data usage, analyzes usage patterns by device, and provides customized demand transfer services based on analysis, resulting in cost reduction for users.