• Journal of Digital Convergence
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• v.14 no.3
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• pp.419-425
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• 2016

This paper was to explore the effects of multiphasic components of home environment on life satisfaction. This survey was conducted from September, 2015 to November, 2015 and 298 responses from the survey were used for the analysis. The data was analyzed by descriptive statistics, t-test, ANOVA, pearson correlation and Multiple Regression. The research findings could be summarized as the followings. First, each of the elements of home environment was generally recognized as average level. while, the mean score of privacy was higher than average. Second, privacy, economics, high income and good health were the significant predictors to explain life satisfaction. In conclusion, privacy and economics among the multiphasic components of home environment were major variables that affect life satisfaction.

• The Journal of Society for e-Business Studies
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• v.22 no.2
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• pp.99-121
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• 2017

Standard makers in both private and public sectors have been increasingly mandating security standards upon organizations to protect organizational digital assets. A major issue in security standardization is that standards often cannot regulate all possible security efforts by the standard maker because some efforts are unverifiable by nature. This paper studies from an analytical perspective how a standard maker should design the standard using a verifiable security control in the presence of another related unverifiable one. We compare it with two benchmark standards; $na{\ddot{i}}ve$-standard which refers to the standard maker who ignores the existence of the unverifiable control, and complete-information standard which refers to the maker sets standards on both controls. Optimal standard and benchmark standard depend critically on how the two controls are configured. Under parallel configuration, the existence of the unverifiable control induces the policy maker to set a higher standard (the complete-information standard is optimal); under serial configuration, a lower standard is applied (neither benchmark works). Under best-shot configuration and if the verifiable control is more cost-efficient, the existence of the unverifiable control has no impact on the optimal standard (the $na{\ddot{i}}ve$ standard is optimal).

• Journal of The Korean Society of Grassland and Forage Science
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• v.5 no.3
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• pp.191-195
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• 1985

This field experiment was undertaken to assess the effects of three levels of inclination ($10^{\circ},\;20^{\circ},\;and\;30^{\circ}$) and four rates of $N-P_2O_2-K_2O$ (O-O-O, 14-10-20, 28-25-25, and 42-40-40kg/10a) on establishment, forage yield and quality and botanical composition of new established mixed grass-clover sward. This first part is concerned with the forage yield, yield component and botanical composition. The results obtained after a two-year experiment are summarized as follows: 1. Dry matter yields of mixed grass-clover sward were greatly decreased by increasing the inclination grade of hilly pasture, whereas it of weeds was not significantly influenced. Comparing with weeds, the establishment of introduced pastures was relatively low with increasing the grade of inclination. 2. By increasing the NPK rate, the yields of grasses and mixed forages and the rate of introduced pastures were greatly increased at all grades of inclination, whereas the change in the weed yield was not significant. 3. There were the differenced in the forage yield and yield component, and efficiency of fertilizers by the grade of inclination, which indicated the necessity of different management on the selection of suitable grass species, seeding rate, amount of fertilizer application, and the methods of grassland establishment, management and utilization.

• Journal of The Korean Association For Science Education
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• v.39 no.5
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• pp.655-668
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• 2019

In this study, we investigated the middle school students' processes of scientific graph construction from the perspective of the problem solving process. Ten 9th graders participated in this study. They constructed a scientific graph based on pictorial data depicting precipitation reaction. The think-aloud method was used in order to investigate their thinking processes deeply. Their activities were videotaped, and semi-structured interviews were also conducted. The analysis of the results revealed that their processes of scientific graph construction could be classified into four types according to the problem solving strategy and the level of representations utilized. Students using the structural strategy succeeded in constructing scientific graph regardless of the level of representation utilized, by analyzing the data and identifying the trend based on the propositional knowledge about the target concept of the graph. Students of random strategy-higher order representation type were able to succeed in constructing scientific graph by systematically analyzing the characteristics of the data using various representations, and considering the meaning of the graph constructed in terms of the scientific context. On the other hand, students of random strategy-lower order representation type failed to construct correct scientific graph by constructing graph in a way of simply connecting points, and checking the processes of graph construction only without considering the scientific context. On the bases of the results, effective methods for improving students' ability to construct scientific graphs are discussed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.133-140
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• 2014

The purpose of this research was to identify how service composition factor impact organizational performance of long-term care facilities for elderly people. The target population was the staffs who were working at long-term care facilities for elderly people in urban areas of Seoul, Inchon and cities in Kyonggi-do as of September 2012. Independent variables, main factors for organizational performances, are leadership, educational training, compensation, initiative, and service quality. Dependent variables are selected as duty satisfaction, job performance, financial aptitude and beneficiary-oriented policy. SPSS ver18.0 statistical computer program was conducted in order to analyze the multivariate statistical data. The results are examined in detail in terms of the influence of two managing systems in the senior-care service on the organizational performance and the evaluations of the relation and difference caused by the input variables in two managing systems. In one case of the influence of two managing systems in the senior-care service on the organizational performance, the findings show 1) the influence of the service managing factor is clearly related to duty satisfaction with the result of 0.001 (F=37.429) regression data, 2) the influence of the service managing factor is clearly related to job performance with the result of 0.001 (F=55.099) regression data, 3) the influence of the service managing factor is closely related to financial aptitude with the result of 0.001 (F=56.904) regression data, and 4) the influence of the service managing factor is also clearly related to beneficiary-oriented policy with the result of 0.001 (F=61.367) regression data.

• Korean Journal of Social Welfare Studies
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• v.49 no.3
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• pp.247-275
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• 2018

In the absence of a research study on meta-analysis in terms of program development, the purpose of the study is to analyze the contents of the meta-analysis research studies which has been conducted for 18 years, and is to identify the level of program component evidence for the development of social work program. In order to achieve these purposes, the study analyzed the feature and usefulness of the 110 meta-analysis studies(5,781 program evaluation studies)published from 2010 to June 2017 in major academic journals related to the areas of the social welfare, psychology, counseling and health. The major findings are as follows. The 110 meta-analysis studies tended to narrow down the scope of the population, problems, and program types, but they also included a lot of heterogeneous types. In the statistical methods, there were relatively few studies to explain the factors behind the heterogeneity of program effectiveness. In addition, researchers tended to select program components arbitrarily with bias on specific components. The important program components with the statistical validity are as follows; the age of the subjects, the severity of the problem, the expertise of the providers, and the strength and activities of the intervention, The academic meanings of the study results was discussed, and the direction of future research was presented to increase the usefulness of the metaanalysis for program development.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.599-601
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• 2009

In currently being adopted as a e-leaning standard, SCORM it is difficult to provide the customized contents to a learner by changing the learner's level at runtime, and to control selective studying. So, we designed and implemented the customized contents organization engine(CCOE) in order to complement SCORM's faults in this paper. The CCOE consists of a level evaluation module, a contents re-organization module and a question item selection module. A level evaluation module evaluates the learner's level based on a question item reaction theory. And a question item selection module selects some random items by each level or by considering the learner's level which is then provided to a studying before evaluation, a section evaluation, and a quiz. And then this module transmits the selected items to the contents reorganization module for providing the quiz. A contents re-organization module selects the customized contents based on the learner's level by searching the tagged difficulty to the content, and creates the sequence with the selected items and the transmitted items from the question item selection module. If proposed in this paper CCOE is applied, the higher effectiveness of learning is expected by providing the customized learning contents based on the re-evaluated learner's level by each section.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.2
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• pp.177-182
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• 2010

The flow of a universal system-level design methodology consists of system specification, system-level hardware/software partitioning, co-design, co-verification using virtual or physical prototype, and system integration. In the developing process of a hardware component in system, the design phase has been regarded as a phase consuming lots of time and cost. However, the verification phase in which functionality of the designed component is verified has recently been considered as a much important phase. In this paper, the implementation of a verification environment which is based on SystemC infrastructure and verifies the functionality of a hardware component is described. The proposed verification system uses SystemC user-defined channel as communication interface between variables of SystemC module and registers of Verilog module. The functional verification of an UART is performed on the proposed verification system. SystemC provides class library for hardware modeling and has an advantage of being able to design a system consisting hardware and software in higher abstraction level than register transfer level. Source codes of SystemC modules are reusable with a minor adaptation on verifying functionality of another hardware component.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.2
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• pp.49-58
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• 2015

Up to the present point in time, the level diagnosis system for urban reactivation have utilized various methods for establishment and management in Korea and overseas, such as city competitiveness evaluation, urban decay diagnosis, etc. However, contrary to performing diagnosis and evaluations on general cities in existing studies, it is found to be a very complex and difficult task to perform a diagnosis on the level of U-City due to its unique characteristics. It is difficult to determine the level of a U-City using a level diagnosis system used for general cities because a U-City is comprised of a connection/fusion of various structural elements. Therefore, in order to perform a systematic diagnosis of a U-City, it is necessary to primarily observe the structural characteristics of a U-city to derive a diagnosis system based on the relativity between each structural element. This study aims to propose a directivity of a U-City level diagnosis system in comprehensive consideration of various elements, such as the objective of a U-City, as well as the structural elements that compose a U-City based on the definitions prescribed in U-City legislations, including ubiquitous city planning, ubiquitous city infrastructure, ubiquitous city technology, services, etc. The results of this study are expected to provide a resolution for the regional quality differences of U-Cities, and also establish a stepping-stone for the realization of U-Cities with high degree of completion.

• School Mathematics
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• v.14 no.1
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• pp.29-43
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• 2012

This paper investigated the conceptual schemes in which four children constructed a strategy representing the situation as a figure and partitioning it related to the work which they quantify the result of partitioning to various types of fractions when an equal sharing situation was given to them in contextual or an abstract symbolic form of division. Also, the paper researched how the relationship of factors and multiples between the numerator and denominator, or between the divisor and dividend affected the construction. The children's partitioning strategies were developed such as: repeated halving stage ${\rightarrow}$ consuming all quantity stage ${\rightarrow}$ whole number objects leftover stage ${\rightarrow}$ singleton object analysis/multiple objects analysis ${\rightarrow}$ direct mapping stage. When children connected the singleton object analysis with multiple object analysis, they finally became able to conceptualize division as fractions and fractions as division.