• Journal of Korean Society for Atmospheric Environment
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• v.31 no.4
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• pp.368-377
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• 2015

Bunker C fuel oil is a high-viscosity oil obtained from petroleum distillation as a residue. The sulfur content of bunker C fuel oil is limited to 4.0% or even lower to protect the environment. Because bunker C fuel oil is burned in a furnace or boiler for the generation of heat or used in an engine for the generation of power, carbon dioxide is emitted as a result of combustion. The objective of this study is to investigate $CO_2$ emission characteristics of bunker C fuel oil by sulfur contents. Calorific values and carbon contents of the fuels were measured using the oxygen bomb calorimeter method and the CHN elemental analysis method, respectively. Sulfur and hydrogen contents, which were used to calculate the net calorific value, were also measured and then net calorific values and $CO_2$ emission factors were determined. The results showed that hydrogen content increases and carbon content decreases by reducing sulfur contents for bunker C fuel oil with sulfur contents less than 1.0%. For sulfur contents between 1.0% and 4.0%, carbon content increases as sulfur content decreases but there is no evident variation in hydrogen content. Net calorific value increases by reducing sulfur contents. $CO_2$ emission factor, which is calculated by dividing carbon content by net calorific value, decreases as sulfur content decreases for bunker C fuel oil with sulfur contents less than 1.0% but it showed relatively constant values for sulfur contents between 1.0% and 4.0%.

• Knowledge Management Research
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• v.21 no.4
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• pp.175-193
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• 2020

With the proliferation of information technology communication and smart device, the environment where contents are produced and distributed is changing. People can use the contents quickly and easily, and the content industry is attracting attention and creating newly added value by converging with other industries. Accordingly, there is a need for content-related companies to understand the quality of content perceived by users in order to succeed in content, and to use it strategically. Therefore, this study aims to examine the relationship between content quality factors, user satisfaction, and recommendation intention through empirical analysis based on an IS success model. The analysis was conducted using smartPLS3.0 based on a total of 301 survey responses. As a result of the study, it was found that content usefulness, accessible system quality, convenient system quality, service provider trust, and interaction had a significant effect on user's satisfaction. Perceived privacy protection had a significant effect on user satisfaction and recommendation intention. Lastly, it was found that user satisfaction had a significant effect on recommendation intention. The results of this study are expected to provide useful information and therefore content companies can understand about the quality perceived by users.

• Korean Journal of Pharmacognosy
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• v.33 no.4 s.131
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• pp.296-300
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• 2002

The contents of alkaloids in raw Cho O(Aconiti Ciliare Tuber) and its processed products were determined by high performance liquid chromatography. Processing methods 1 and 2 lowered the contents of alkaloids more than the method 3. Cho O processed with method 1 or 2 showed even lower alkaloid contents than commercially available Processed Aconiti Tuber Powder(PATP). The contents of aconitine and hypaconitine in MeOH extracts of Cho O treated with method 3(10 min irradiation) and mesaconitine of Cho O treated with method 3(5 min) were comparable to those of PATP.

• Asia pacific journal of information systems
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• v.20 no.4
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• pp.81-100
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• 2010

This study investigates the impact of website contents on Internet auction success. Based on the marketing concepts of stimuli, consumer behavior, and product involvement, the research model presents the theoretical relationships between the key factors of website contents and Internet auction performance. This study examines particularly four dimensions of website contents including transaction features, auction-specific features, seller's reputation, and information quality, which are deemed to have significant impact on the Internet auction performance, Each dimension of website contents is hypothesized to have a unique impact on a bidder's decision-making, which may vary depending on the bidder's level of involvement in the product. While transaction and auction-specific features serve as necessary components for successful auctions, a seller's reputation and information quality, as parts of satisfactory requirements, acutely affect bidders' decisions, especially those with high involvement to buy the product through a particular auction site. The outcomes of the analysis, in general, support the proposed model. The study results also provide meaningful Implications on ways in which auction websites can be improved for both sellers and auction service providers.

• Knowledge Management Research
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• v.15 no.2
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• pp.67-88
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• 2014

This study aims to investigate on measuring the success of e-Learning. For this purpose, we proposed a research model that consists of e-Learning contents quality, e-Learning system quality, e-Lecturing quality, sense of e-Learning community factors as independent factors and e-Learning and e-Learning satisfaction as mediators and tested it empirically based on the structural equation model. The empirical results showed that e-Learning contents quality, e-Learning system quality, sense of e-Learning community factors directly lead to e-Learning. The study also found that e-Learning contents quality, e-Lecturing quality, sense of e-Learning community factors bring about higher e-Learning satisfaction and that e-Learning satisfaction has a positive impact on e-Learning. Furthermore, the research discovered that both e-Learning and e-Learning satisfaction have a significant relationship with e-Learning net benefits. This research renders its theoretical contribution to analyzing a positive influence of sense of e-Learning community, a newly suggested variable added to the existing IS success model in this study, on e-Learning. From a practical view, the findings of this study can lead to improving the quality of e-Learning in today's era where the growth of e-Learning industry is quite noticeable.

• International journal of advanced smart convergence
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• v.6 no.1
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• pp.18-25
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• 2017

Recently, VR HMD (virtual reality head mounted display) has been utilized for virtual training, entertainment, vision therapy, and optometry. In particular, virtual reality contents are increasingly used for vision therapy and optometry. Accordingly, high-quality virtual reality contents such as a natural vision of life is required. Therefore, it is necessary to study the content production according to the optical characteristics of the VR HMD. The purpose of this paper is to suggest a proper FOV (field of view) of contents according to the distortion rate. We produced virtual reality contents and obtained distorted images by virtual camera. The distortion rate is calculated by using the distorted image. It is proved that the optimal FOV of the VR content with the minimum distortion is $90{\sim}100^{\circ}$. The results of this study are expected to be applied to the production of high quality contents.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.237-240
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• 2018

현재 e스포츠 시장은 게임 산업의 성장과 맞물려 매우 큰 규모로 확대되고 있고, 업종을 불문하고 다양한 국제적인 기업과 스포츠 구단이 진출하고 있는 실정이다. 본 논문에서는 컴퓨팅 관련 산업에 있어서 수요와 공급의 중간 매체의 역할을 하는 품질보증(QA : Quality Assurance)이 게임 산업의 한 분야인 e스포츠 산업을 위해 수행할 역할과 상호작용에 대한 중요성과 필요성을 제시하고자 한다.

• International Journal of Contents
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• v.18 no.3
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• pp.34-48
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• 2022

The purpose of this study was to develop indicators for quality management of educational institutions, and to achieve this, literature analysis and expert interviews were conducted. Through literature analysis, the components of TQM were derived focusing on factors to improve the quality of education, engineering education accreditation standards, and a representative education accreditation system, were considered. Additionally, seven areas as well as 32 indicators required for education quality management, were derived by comparing the EFQM excellence model and the MBNQA education model, applied for quality management of companies and institutions. By comparing and synthesizing these results, a draft was developed for the quality management index of educational institution. Next, opinions on correction and supplementation of quality management indicators derived from literature analysis, were collected from five education experts. From the comparisons and integration of these results, eight criteria (leadership, strategy, customers, people, facilities and environment, curriculum management, curriculum improvement, and performance management) and 34 indicators, were proposed for quality management indicators for educational institutions. Curriculum management, people, and performance management criteria were considered more significantly in quality management of educational institutions, and several implications are suggested based on the study results.

• Asian-Australasian Journal of Animal Sciences
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• v.19 no.7
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• pp.1059-1064
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• 2006

Six muscles were seamed out randomly from Hanwoo carcasses (n = 12) of each quality grade (quality grades 1, 2 and 3). Samples were analysed for their total and soluble collagen contents, IMCT (intramuscular connective tissue) and Warner-Bratzler shear force (WBSF). Simple correlation (n = 21) was determined for WBSF among major muscles. For LT (longissimus thoracis), total collagen content was significantly higher (p<0.05) for quality grade 3 than those for quality grades 1 and 2. For semitendinosus (ST), semimembranosus (SM), psoas major (PM) and serratus ventralis (SV), total collagen content of quality grade 1 was lowest (p<0.05) of all quality grades. IMCT shear force for gluteus medius (GM) decreased (p<0.05) with better quality grade, and those for other muscles, with the exception of GM, were higher (p<0.05) for quality grade 3 than for quality grades 1 and 2. WBSF values showed GM and LT to be decreased (p<0.05) with better quality grade, and PM to be higher (p<0.05) for quality grade 3 than those for quality grades 1 and 2. SM, ST and SV from quality grade 1 had lower (p<0.05) WBSF value than those from quality grades 2 and 3. Total collagen content of ST was highest (p<0.05) of all muscles, whereas that of PM was lowest (p<0.05). Soluble collagen contents of LT and SV from quality grades 1 and 2 were, in general, higher (p<0.05) than other muscles, but that of SM was lowest (p<0.05). ST and SM had higher (p<0.05) WBSF values for three quality grades when compared to other muscles, whereas PM was lowest (p<0.05). LT had the strongest simple correlation with SV (r = 0.78) and GM (r = 0.77), and SM had the strongest correlation with ST (r = 0.73) and LT (r = 0.73). Also, PM had the strongest correlation with SV (r = 0.62).

• Journal of Internet Computing and Services
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• v.10 no.3
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• pp.159-172
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• 2009

The purposes of this study were to identify factors affecting the quality of universities' e-learning contents from the perspectives of learners and to find out specific solutions for improving them. To achieve these goals, research questions were established as follows: 1) What factors were influencing the quality of universities' e-learning contents, and how were learners perceived about each factor(by its importance and satisfaction)? 2) Were there any differences on the learners' perceptions about each factor(by its importance and satisfaction)? 3) What were any specific ways to enhance the quality of universities' e-learning contents? The participants were of 543 university students who took at least one e-learning course and were living in the metropolitan areas(Seoul, Incheon, Gyeonggi). The survey questionnaire was consisted of 38 items developed through the literature review. To analyze the data collected, factor analysis and paired-sample t-test were conducted. The results were as follows: Five identified factors influencing the quality of universities' e-learning contents from the perspectives of learners were instructional strategies, learning contents, usability, evaluation/feedback, and interface design, and all identified factors were statistically significant differences among the learners' perceptions of its importance and satisfaction. The analysis results of importance-satisfaction matrix by each factor showed that 1) learning contents was the factor that current status should be at least continuously maintained, 2) usability, instructional strategies, and evaluation/feedback were the factors that learners' satisfactions still need to be increased although those importances were not relatively high, and 3) interface factor was important, while learners' satisfaction toward it was not much high so that solutions to increase the satisfaction need to be immediately considered. Based on the results, several suggestions to enhance universities' e-learning contents from the learners' perspectives were also recommended.