In spite of continuous implementation of the transportation demand management (TDM), the profuse use of car at the peak-time has caused chronic traffic congestion in the Seoul downtown area. This study makes a comparative analysis on the effectiveness of commuting cost subsidy system for public transit user with other policy instruments such as an increment in fuel tax and park cost. This study not only follows standard guidelines of stated preference methodology to guarantee objectivity, but also uses sample enumeration method and non-Parametric bootstrapping method to secure reliability of empirical results. As a result of empirical studies, the conversion effect of car to public transit is superior to other two Policy instruments. Also. an increment in fuel tax and park cost is income-regressive from the equity aspect in a wage bracket, but commuting cost subsidy system for Public transit user is Income-progressive As a fundamental research on commuting cost subsidy system for public transit user, this study is likely to Provide Policy-makers with quantitative information useful in establishing Public transport Policy to Promote the use of the public transit.
In this paper, we have represented the efficient way how to enumerate the optimal number-right scores to adjust the item difficulty and to improve item discrimination. To estimate the optimal number-right scores in two equivalent math-tests by linear score equating a measurement error model was applied to the true scores observed from a pair of equivalent math-tests assumed to measure same trait. The model specification for true scores which is represented by the bivariate model is a simple regression model to inference the optimal number-right scores and we assume again that the two simple regression lines of raw scores and true scores are independent each other in their error models. We enumerated the difference between mean value of $\chi$* and ${\mu}$$\_$$\chi$/ and the difference between the mean value of y*and a+b${\mu}$$\_$$\chi$/ by making an inference the estimates from 2 error variable regression model. Furthermore, so as to distinguish from the original score points, the estimated number-right scores y’$\^$*/ as the estimated regression values of true scores with the same coordinate were moved to center points that were composed of such difference values with result of such parallel score moving procedure as above mentioned. We got the asymptotically normal distribution in Figure 5 that was represented as the optimal distribution of the optimal number-right scores so that we could decide the optimal proportion of number-right score in each item. Also by assumption that equivalence of two tests is closely connected to unidimensionality of a student’s ability. we introduce new definition of trait score to evaluate such ability in each item. In this study there are much limitations in getting the real true scores and in analyzing data of the bivariate error model. However, even with these limitations we believe that this study indicates that the estimation of optimal number right scores by using this enumeration procedure could be easily achieved.
This study analyzes on the reasoning in the process of justification and mathematical problem solving in our primary mathematics textbooks. In our analyses, we found that the inductive reasoning based on the paradima-tic example whose justification is founnded en a local deductive reasoning is the most important characteristics in our textbooks. We also found that some propositions on the properties of various quadrangles impose a deductive reasoning on primary students, which is very difficult to them. The inductive reasoning based on enumeration is used in a few cases, and analogies based on the similarity between the mathematical structures and the concrete materials are frequntly found. The exposition based en a paradigmatic example, which is the most important characteristics, have a problematic aspect that the level of reasoning is relatively low In Miyazaki's or Semadeni's respects. And some propositions on quadrangles is very difficult in Piagetian respects. As a result of our study, we propose that the level of reasoning in primary mathematics is leveled up by degrees, and the increasing levels are following: empirical justification on a paradigmatic example, construction of conjecture based on the example, examination on the various examples of the conjecture's validity, construction of schema on the generality, basic experiences for the relation of implication.
KIPS Transactions on Software and Data Engineering
/
v.3
no.12
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pp.523-530
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2014
Ontology alignment is the way to share and reuse of ontology knowledge. Because of the ambiguity of concept, most ontology alignment systems combine a set of various measures and complete enumeration to provide the satisfactory result. However, calculating process becomes more complex and required time increases exponentially since the number of concept increases, more errors can appear at the same time. Lately the focus is on meta-matching using the heuristic algorithm. Existing meta-matching system tune extra parameter and it causes complex calculating, as a consequence, the results in the various data of specific domain are not good performed. In this paper, we propose a high performance algorithm by using DCS that can solve ontology alignment through simple process. It provides an efficient search strategy according to distribution of Levy Flight. In order to evaluate the approach, benchmark data from the OAEI 2012 is employed. Through the comparison of the quality of the alignments which uses DCS with state of the art ontology matching systems.
The purposes of the present study were to analyze correlation of vote behavior and attitude and vote intention in the pre-survey, and to investigate the efficient method of predicting the voting result from the pre-surveys. The previous attitude is measured by the support for the candidate, political self-confidence, self-efficacy and opinion on present issues. The vote intention is surveyed by the past election participation and degree of election interest. Real voting behavior is surveyed by the post enumeration, and the pre-survey and both post-survey are conducted to the same person to analyze the correlation of voting behavior and pre-survey. The real election participation is highly correlated with vote intention, election interest and past election participation. Almost respondents did not change the supporting candidate from the poll survey to the election vote. It is shown that the voting behavior at election of the nonrespondent of pre-survey can be predicted with the demographic charater and attitude of present issues.
Journal of Information Science Theory and Practice
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v.2
no.2
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pp.48-58
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2014
Public libraries provide information to all persons and its users are the inhabitants of the community it serves. This may not be the reality in some cases as some category of persons may not be properly served by the public library. This study assesses the provision of information materials in alternative format, in terms of its availability, access and level of use by the visually impaired in public libraries in southwestern Nigeria. The study adopted survey research design. Four (4) public libraries in four states were purposively selected because they are the ones that provide alternative format for the use of a sizable number of the visually impaired. Complete enumeration was used to capture all the 166 registered users of the libraries through the use of observations checklist and interview schedule. Data from 69.2% of the 166 visually impaired persons that were interviewed, and the observations made were analyzed. The result reveals that alternative formats availability were inadequate and, e-resources were not available while access to formats and information desired by the users were limited. Braille is the most utilized format; audio materials and large prints were seldom used. The demand for alternative formats is high but it is not related to level of use of materials. Provision of information materials in alternative formats for the visually impaired in public libraries cannot support the needs of the visually impaired; it requires intervention from all stakeholders. The study recommends improved investment and funding for public libraries and services to persons with disabilities.
When companies or institutes manage data, in order to utilize it as useful resources for decision-making, it is essential to offer precise and reliable data. While most small and medium-sized enterprises and public institutes have been investing a great amount of money in management and maintenance of their data systems, the investment in data management has been inadequate. When public institutions establish their data systems, inspection has been constantly carried out on the data systems in order to improve safety and effectiveness. However, their capabilities in improving the quality of data have been insufficient. This study develops an automatic tool to diagnose the quality of data in a way to diagnose the data quality condition of the inspected institute quantitatively at the stage of design and closure by inspecting the data system and proves its practicality by applying the automatic tool to inspection. As a means to diagnose the quality, this study categorizes, in the aspect of quality characteristics, the items that may be improved through diagnosis at the stage of design, the early stage of establishing the data system and the measurement items by the quality index regarding measurable data values at the stage of establishment and operation. The study presents a way of quantitative measurement regarding the data structures and data values by concretizing the measurement items by quality index in a function of the automatic tool program. Also, the practicality of the tool is proved by applying the tool in the inspection field. As a result, the areas which the institute should improve are reported objectively through a complete enumeration survey on the diagnosed items and the indicators for quality improvement are presented quantitatively by presenting the quality condition quantitatively.
Background: Piton du Milieu (PdM) impounding reservoir is suspected to be eutrophic based on the elevated level of orthophosphate and nitrate. Water supplies from three adjacent rivers are primarily thought to contribute to the nutrient enrichment of the reservoir. It is also suspected that there is leaching of orthophosphate, nitrate and organic matter into the rivers during rainfall events and also as a result of anthropogenic activities within the catchment area. The aim of this study was to ascertain the impact of nutrient loading on the water quality of PdM water and on the population of freshwater microalgae in the reservoir. The enumeration and identification of algae from PdM were performed by differential interference contrast microscopy. Dissolved oxygen (DO) and pH were determined by electrometric methods, whereas nutrient levels, silica and total organic carbon (TOC) were determined by instrumentation techniques. Results: Annual mean orthophosphate, nitrate and total organic carbon input from the three feeders within the catchment area of PdM reached levels as high as 0.09 mg/L, 0.4 mg/L and 2.62 ppm respectively. Over a 12-month period, mean TOC concentration in the reservoir was 2.32 ppm while the mean algal cell count was 4601 cells/mL. The dominant algal species identified were Oscillatoria, Cyclotella, Navicula and Cosmarium. Conclusion: This study highlights the trophic state of the reservoir water and clearly points to the need for constant monitoring in order to avoid the occurrence of an impending harmful algal bloom.
Journal of the Korea Fashion and Costume Design Association
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v.25
no.1
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pp.15-31
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2023
This study aimed to propose a fashion design development method using the external and internal characteristics of the flower and bird paintings in traditional Korean folk paintings. As a research method, external and internal characteristics of folk paintings were examined through previous studies and literature research, and folk painting patterns were developed into digital textile designs. Five 3D digital fashion designs were proposed using the CLO 3D program. The external characteristics of folk paintings were as follows: simplification and planarization of object representation, diversification of viewpoints, ignorance of perspective and symmetrical enumeration, strong colors and contrast effects, and the simultaneous representation of time. The internal characteristics of folk paintings were as follows: symbolic meaning, the beauty of free humor, modest aesthetics, complexity of reality and fantasy, and desire of shamanism. The results are as follows. Firstly, the flower and bird painting was a decorative painting style that emphasized decorative beauty and was suitable for developing fashion designs with Korean originality because of the symbolic and internal meanings. Simple layouts and bold free-spirited representations were effective ways to fill the screen with objects and gave the pattern a decorative effect. Secondly, developing a virtual clothing prototype based on digital design method using the external and internal characteristics of folk paintings and producing realistic fashion designs suggest the integrated use of science and technology, embodying modern fashion through the combination of digital fashion content and traditional cultural content. Thirdly, as a result of the development of 3D digital fashion designs, an eco-friendly and sustainable fashion design methods with virtual clothing can suggest a design development method that saves time and cost in the fashion design process while considering the environment.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.12
no.3
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pp.107-117
/
2017
Entrepreneurship is a means of improving national competitiveness that can expand the industry quantitatively and qualitatively based on new technologies and ideas. As a result, we are implementing a nationwide initiative support policy around the world. It leads to actual results and grows into a global company. It also has the advantage of being able to produce potential creative people through support for startups. In order to cultivate talented people suitable for startup in Korea, Venture For Korea, the internship program is being carried out with the aim of strengthening basic capabilities and establishing an exchange with existing companies. The purpose of this study is to verify the effectiveness of the system by using justice theory among the interns of the startup internship. In order to improve the accuracy of the study, the survey was done by a complete enumeration and the results were analyzed through Smart PLS 2.0. As a result of the analysis, the distributive justice and interactional justice among the fairness variables have a positive effect on the expectancy effect, and the expectancy effect has a positive effect on the satisfaction. However, procedural justice did not appear to have an effect on expectancy effects. This is because it's been only two years after the start of the internship program, and it seems to reflect the lack of consensus about the process among the stakeholders (enterprise, pre-entrepreneur, the government) related to the system. The results of this study are meaningful in that it deduces the insufficient part of the startup internship based on the justice theory. In other words, in order to increase the policy effect of the startup internship, it is necessary not only to emphasize only the purpose, but also to establish a policy direction complementing the procedural aspect.
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