• Proceedings of the Korea Contents Association Conference
• /
• 2007.11a
• /
• pp.468-472
• /
• 2007

There are many measuring tools to evaluate individual's scientific productivity using scientific articles based on bibliometrics. Especially succeeding discussions are accomplished at an trial for individual's scientific productivity after Hirsch's 2005 proposal using h-index. And there are many succeeding discussions and applications to evaluate journals, articles and qualitative level of researchers using h-index, g-index. But these indices have a same indices without regard to first author or other co-author if a article has a same number of citations. This research aims to propose K-index integrated between these indices and author rank.

• Research in Community and Public Health Nursing
• /
• v.27 no.4
• /
• pp.337-345
• /
• 2016

Purpose: This study aims at identifying individual- and school-level factors associated with unintentional injuries to Korean adolescents at school by applying multilevel modeling. Methods: From the database of the eleventh Korea Youth Risk Behavior Web-based Survey (KYRBS), the researchers selected 68,043 adolescents from the $7^{th}$ to the $12^{th}$ grades. Data were analyzed using ${\chi}^2$ test for prevalence and multilevel modeling for related factors of unintentional injuries at school. Results: About 22.9 percent of the adolescents had treatment experiences for unintentional injuries at school in the past 12 months. At the individual level, the significant factors associated with unintentional injuries at school included gender, grade, academic achievement, current smoking, alcohol consumption, frequency of high caffeine intake, depression, and relief of fatigue after sleep. At the group level, the significant factors included number of physical education per week and safety education. Conclusion: School based injury prevention programs should be sensitive to both individual- and school-level factors associated with unintentional injury at school among Korean adolescents.

• Coupled systems mechanics
• /
• v.6 no.3
• /
• pp.273-286
• /
• 2017

We present a simple and easy-to-implement lumped stiffness model to elucidate the load transfer mechanism among all individual tube shells and intertube van der Waals (vdW) interactions in transversely compressed multi-walled carbon nanotubes (CNTs). Our model essentially enables theoretical predictions to be made of the relevant transverse mechanical behaviors of multi-walled tubes based on the transverse stiffness properties of single-walled tubes. We demonstrate the validity and accuracy of our model and theoretical predictions through a quantitative study of the transverse deformability of double- and triple-walled CNTs by utilizing our recently reported nanomechanical measurement data. Using the lumped stiffness model, we further evaluate the contribution of each individual tube shell and intertube vdW interaction to the strain energy absorption in the whole tube. Our results show that the innermost tube shell absorbs more strain energy than any other individual tube shells and intertube vdW interactions. Nanotubes of smaller number of walls and outer diameters are found to possess higher strain energy absorption capacities on both a per-volume and a per-weight basis. The proposed model and findings on the load transfer and the energy absorption in multi-walled CNTs directly contribute to a better understanding of their structural and mechanical properties and applications, and are also useful to study the transverse mechanical properties of other one-dimensional tubular nanostructures (e.g., boron nitride nanotubes).

• Knowledge Management Research
• /
• v.16 no.1
• /
• pp.21-54
• /
• 2015

A bunch of management studies have repeatedly revealed that the extent of knowledge sharing across organization contributes significantly to the firm's sustainable competitiveness. However, in reality, it is a hard fact that we must admit that many individuals working in competitive situations always feel reluctant to share knowledge. Especially, positive and negative emotions play an important role in changing individual' s intentions about knowledge sharing and knowledge utilization as well. Intention about knowledge sharing is usually hindered by in-group rivalries. Also employees feel negative in sharing their knowledge with colleagues when they expect to receive little support and recognition in return after doing that. These considerations point out the importance of individual's knowledge sharing and the role of knowledge management in order to assure competitiveness. Considering these facts, the main purpose of this study is to investigate why people is willing or unwilling to share their knowledge with others and utilize the knowledge in the competitive context where potential rivalry is still expected. In answering these research issues, we analyzed 258 valid questionnaires garnered from online community where a number of people has been actively interacting with registered members to share crucial knowledge about sensitive issues. Results revealed that the proposed research issues are adequately solved with significant statistical results.

• Journal of The Korean Society of Grassland and Forage Science
• /
• v.8 no.3
• /
• pp.68-76
• /
• 1988

The variation of rumination response in steers fed a same amount of orcharugrass hay was investigated. With three steers (6, 12, 24 months) of the Japanese Black Breed, rumination behaviour was measured continuously during a 5 days period by masseter EMG telemetry system. The results are summarized as follows: 1. The average daily rumination time of respective animals were 438,447 and 433 min. with small daily variation both within and among animal. But the rumination time per DM kg of hay consumed varied from 66 to 138 min., and calf spent longer than older calf. 2. Actural chewing time showed small variation, and percentage of actural chewing time spent in rumination time was from 88 to 93% on individual average. 3. The daily number of chewing in rumination was approximately 25,000 to 30,000 with large individual differences. The chews per DM kg intake varied from 3,800 to 9,600, and calf chewed more than older calf. 4. The average rate of chewing per 100 sec. (chewing speed), there was a large difference between animals i.e. 104, 114, 131 respectively, but very little variance between days in individual. 5. No relation between day to day variations in eating time and rumination behavior, but significantly positive correlation was observed in the relation among rumination time, chewing time, No. of boluses and No. of chews. 6. Active time of day in rumination altered considerably day to day, but variation in the amount of rumination per day as expressed by the rumination time was relatively small.

• Journal of Information Technology Applications and Management
• /
• v.26 no.3
• /
• pp.135-157
• /
• 2019

Information technology has economic, social and cultural impacts is closely linked to our lives. This information technology is becoming a key to the change of human civilization through connecting people and objects on the earth. In addition, future information technology is becoming more intelligent and personalized with the development of computing technology, and due to the rapid development of alcohol, environment without time and space constraint is realized, Is spreading. Since existing portable storage media are made of physical form, there is a limit to usage due to the risk of loss and limitation of capacity. Cloud services can overcome these limitations. Due to the problems of existing storage media, it is possible to overcome the limitations of storing, managing and reusing information through cloud services. Despite the large number of cloud service users, the existing research has focused mainly on the concept of cloud service and the effect of introduction on the companies. This study aims to conduct a study on individual characteristics that affect the degree of cloud use. We will conduct research on the causes of IT knowledge, personal perception of security, convenience, innovation, economical trust, and platform dependency affecting the intention to use the cloud. These results show that the variables affecting individual 's use of cloud service are influenced by individuals, and this study can be used as a basic data for individuals to use cloud service.

• Environmental and Resource Economics Review
• /
• v.10 no.2
• /
• pp.217-234
• /
• 2001

The use of district heating is expanding very rapidly in Korea. High population densities and the relatively cold winters make district heating an economically attractive option. About 8 percent of Korean houses are already using district heating and the government is seeking to aggressively expand this number. It has set a target of 15 percent of the residential heat market to be met by district heating in the year 2001. The main purpose of this paper is to analyze the consumption behavior of households using district heating. By pooling time-series and cross-sectional data for 12 apartment complexes in Seoul area, a single demand function is estimated and used to forecast the amounts of heat demanded by the individual households. The results shows that the level of consumption varies among households, depending on the non-economic factors such as the installation of individual metering equipment and the volume of apartment building. When individual metering equipment is installed, the level of annual heat consumption per household declines, on average, about 22.1 Mcal per square meters, which is equivalent to 834 won per square meter in terms of heating expenditures. In case that the apartment building was built in more than 6 stories, annual consumption level reduces additionally about 17.3 Mcal per square meters and, thus, save the expenditures by 649 Won per square meters, compared to the opposite case.

• Journal of Families and Better Life
• /
• v.31 no.4
• /
• pp.47-64
• /
• 2013

This study aimed to explore the social networks which married immigrant women have in Korea. Special attention was paid to factors such as individual, family, and migrant characteristics contributing to the different patterns of social networks. I drew upon the nationally representative data on 60,719 immigrant women married to Korean men from the '2009 Survey on Korean National Survey on Multicultural Families.' Results showed that the foreign wives tended to maintain a connection with our society through contact with their neighbors and participation in social gatherings. Findings also showed that the types of social networks by the number of trusted neighbors and meetings were diverse among the immigrant women. In addition, the factors differentiating the types were mostly associated with socioeconomic resources or Korean proficiency. More interestingly, the immigrant women's contacts with their family members in their homeland contributed to their maintenance of more active social networks. These results provided a useful outlook on the relationship between patterns of social networks and the characteristics of the married immigrant women, which eventually showed a heterogeneous nature among them. At the societal level, supportive systems for enriching immigrant women's social networks should be developed particularly in terms of not their dependency, but their potential contributions to our society.

• Journal of information and communication convergence engineering
• /
• v.11 no.2
• /
• pp.95-102
• /
• 2013

This paper presents a stochastic driver behavior modeling framework which takes into account both individual and general driving characteristics as one aggregate model. Patterns of individual driving styles are modeled using a Dirichlet process mixture model, as a non-parametric Bayesian approach which automatically selects the optimal number of model components to fit sparse observations of each particular driver's behavior. In addition, general or background driving patterns are also captured with a Gaussian mixture model using a reasonably large amount of development data from several drivers. By combining both probability distributions, the aggregate driver-dependent model can better emphasize driving characteristics of each particular driver, while also backing off to exploit general driving behavior in cases of unseen/unmatched parameter spaces from individual training observations. The proposed driver behavior model was employed to anticipate pedal operation behavior during car-following maneuvers involving several drivers on the road. The experimental results showed advantages of the combined model over the model adaptation approach.

• Environmental Engineering Research
• /
• v.24 no.3
• /
• pp.397-403
• /
• 2019

Microcystis sp. is one of the most common harmful cyanobacteria that release toxic substances. Counting algal cells is often used for effective control of harmful algal blooms. However, Microcystis sp. is commonly observed as a colony, so counting individual cells is challenging, as it requires significant time and labor. It is urgent to develop an accurate, simple, and rapid method for counting algal cells for regulatory purposes, estimating the status of blooms, and practicing proper management of water resources. The flow cytometer and microscope (FlowCAM), which is a dynamic imaging particle analyzer, can provide a promising alternative for rapid and simple cell counting. However, there is no accurate method for counting individual cells within a Microcystis colony. Furthermore, cell counting based on two-dimensional images may yield inaccurate results and underestimate the number of algal cells in a colony. In this study, a three-dimensional cell counting approach using a novel model algorithm was developed for counting individual cells in a Microcystis colony using a FlowCAM. The developed model algorithm showed satisfactory performance for Microcystis sp. cell counting in water samples collected from two rivers, and can be used for algal management in fresh water systems.