• International Area Studies Review
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• v.14 no.3
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• pp.246-263
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• 2010

This study examines how the long-run relations between housing price and inflation in the United Sates have changed since the year of 2000. Johansen co-integration test, estimation of long-run equilibrium equation, and Granger causality tests are conducted, based on the VECM. Data covers the period from the first quarter of 1975 to the second quarter of 2010. I adopt the recursive estimation method in which the final period of the estimation is expanded by one quarter, starting from the first quarter of 2000. The empirical results are as follows: (1) In spite of the sharp increase of housing price, the long-run relationship of house prices and inflation has been remained stable until 2007, showing that house prices are a stable inflation hedge in the long run. (2) The housing price plunge since 1997 does not seem to be related to the restore of the long-run relationship between housing prices and inflation. (3) Granger causality test results support the hypothesis that inflation granger-causes housing prices with 10% significance level, but reject the hypothesis that housing price granger-causes inflation.

• Steel and Composite Structures
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• v.30 no.6
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• pp.535-550
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• 2019

Prestressed concrete (PC) bridges using corrugated steel webbing have emerged as one of the most promising forms of steel-concrete composite bridge. However, their long-term behavior is not well understood, especially in the case of large-span bridges. In order to study the time-dependent performance, a large three-span PC bridge with corrugated steel webbing was compared to a similar conventional PC bridge to examine their respective time-dependent characteristics. In addition, a three-dimensional finite element method with step-by-step time integration that takes into account cantilever construction procedures was used to predict long-term behaviors such as deflection, stress distribution and prestressing loss. These predictions were based upon four well-established empirical creep prediction models. PC bridges with a corrugated steel web were observed to have a better long-term performance relative to conventional PC bridges. In particular, it is noted that the pre-cambering for PC bridges with a corrugated steel web could be smaller than that of conventional PC bridges. The ratio of side-to-mid span has great influence on the long-term deformation of PC bridges with a corrugated steel web, and it is suggested that the design value should be between 0.4 and 0.6. However, the different creep prediction models still showed a weak homogeneity, thus, the further experimental research and the development of health monitoring systems are required to further progress our understanding of the long-term behavior of PC bridges with corrugated steel webbing.

• Journal of Information Processing Systems
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• v.15 no.3
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• pp.464-477
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• 2019

With the sustained and rapid development of new energy sources, the demand for electric energy is increasing day by day. However, China's energy distribution is not balanced, and the construction of transmission lines is in a serious lag behind the improvement of generating capacity. So there is an urgent need to increase the utilization of transmission capacity. The transmission capacity is mainly limited by the maximum allowable operating temperature of conductor. At present, the evaluation of transmission capacity mostly adopts the static thermal rating (STR) method under severe environment. Dynamic thermal rating (DTR) technique can improve the utilization of transmission capacity to a certain extent. In this paper, the meteorological parameters affecting the conductor temperature are analyzed with the IEEE standard thermal equivalent equation of overhead transmission lines, and the real load capacity of 220 kV transmission line is calculated with 7-year actual meteorological data in Weihai. Finally, the thermal load capacity of DTR relative to STR under given confidence is analyzed. By identifying the key parameters that affect the thermal rating and analyzing the relevant environmental parameters that affect the conductor temperature, this paper provides a theoretical basis for the wind power grid integration and grid intelligence. The results show that the thermal load potential of transmission lines can be effectively excavated by DTR, which provides a theoretical basis for improving the absorptive capacity of power grid.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.1
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• pp.371-384
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• 2019

Motion perception has been tremendously improved in neuroscience and computer vision. The baseline motion perception model is mediated by the dorsal visual pathway involving the cortex areas the primary visual cortex (V1) and the middle temporal (V5 or MT) visual area. However, few works have been done on the extension of neural models to improve the efficacy and robustness of motion perception of real sequences. To overcome shortcomings in situations, such as varying illumination and large displacement, an adaptive V1-MT motion perception (Ad-V1MTMP) algorithm enriched to deal with real sequences is proposed and analyzed. First, the total variation semi-norm model based on Gabor functions (TV-Gabor) for structure-texture decomposition is performed to manage the illumination and color changes. And then, we study the impact of image local context, which is processed in extra-striate visual areas II (V2), on spatial motion integration by MT neurons, and propose a V1-V2 method to extract the image contrast information at a given location. Furthermore, we take feedback inputs from V2 into account during the polling stage. To use the algorithm on natural scenes, finally, multi-scale approach has been used to handle the frequency range, and adaptive pyramidal decomposition and decomposed spatio-temporal filters have been used to diminish computational cost. Theoretical analysis and experimental results suggest the new Ad-V1MTMP algorithm which mimics human primary motion pathway has universal, effective and robust performance.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.372-382
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• 2018

Understanding is the foundation of music appreciation, the ultimate goal of music learning. The purpose of this research was to create a model for the integration and implementation of Gordon's music learning theory principles into Suzuki violin instruction. This research shows how audiation can be taught within the framework of the Suzuki philosophy and curriculum. It is expected that Gordon's music learning theory can provide Suzuki teachers with unique capabilities for teaching musical understanding, specifically through the development of audiation. Through an audiation-based approach to Suzuki instruction, thus, young violinists will be able to learn to comprehend the tonal and rhythmic aspects of the music they perform. Future researchers may wish to assemble a more complete guide to the tonal and rhythm patterns used in the Suzuki repertoire. Furthermore, additional lesson plans and activities can and should be developed that represent the application of music learning theory to Suzuki violin instruction.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.75-81
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• 2019

In this work, we investigated a low temperature polycrystalline silicon (LTPS) thin film transistors fabrication process on polymer layers. Dehydrogenation and activation processes were performed by a furnace annealing at a temperature of $430^{\circ}C$ for 2 hr. The crystallization of amorphous silicon films was formed by excimer laser annealing (ELA) method. The p-type device performance, fabricated by polycrystalline silicon (poly-Si) films, shows a very good performance with field effect mobility of $77cm^2/V{\cdot}s$ and on/off ratio current ratio > $10^7$. We believe that the poly-Si formed by a LTPS process may be well suited for fabrication of poly-Si TFTs for bendable panel displays such as AMOLED that require circuit integration.

• Journal of Korean Library and Information Science Society
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• v.50 no.1
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• pp.125-155
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• 2019

The purpose of this study is to design an organizational model to improve the operation of the Gimhae Municipal Library through diagnosis and analysis of its organization. For this purpose, a new organizational model for the Library was designed while reconstruction of the human resource of each unit library was proposed according to the reorganization through research methods such as literature research, case study, FGI survey, etc. The organizational model was eventually designed with three alternatives: an organization for integration of related tasks, one for enhancement of policy function and finally one for improvement of administrative efficiency. We have found that it is the most empirical to measure required number of personnel by 'comparison of benchmarked local governments' method as a result of calculating the required number of staffs of the Library based on macro and micro approach; thus the appropriate number of staff of each unit library was worked out.

• Journal of the Korea Convergence Society
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• v.10 no.4
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• pp.203-208
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• 2019

The purpose of this study was to review and analyze the history and present of the deaf baseball of Korea and U.S. This study used text analysis method that applies comprehensive analysis of the research paper, newspaper, publications and the data from related associations. This study found followings. First, youth baseball teams need to be vitalized. Second, to maximize the motivation and sense of accomplishment, various tournaments need to be hosted and the support for participating in international tournament is necessary. Third, the interchange between deaf baseball and softball is needed. Fourth, the integration of deaf sport and non-disabled sport is necessary. The results of this study might be used for further researches on deaf baseball.

• Journal of Korean Gerontological Nursing
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• v.20 no.sup1
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• pp.119-126
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• 2018

Purpose: The aim of this study was to describe problems and solutions for older adults living alone and using wearable devices to report depressive moods in daily life. In addition, gerontology nurses' competencies and strategies were discussed based on lessons learned from the observational study. Methods: A hybrid method was used, combining literature review and content analyses based on interviews with 53 participants and observations done by the research team. Results: Main issues and relevant strategies were identified in terms of (1) applicability of information and communications technology (ICT) devices for older adults, (2) feasibility of older adults' use of ICT devices, (3) integration of ICT devices into daily life, and (4) relevant issues when older adults use ICT. Important roles and competencies were discussed regarding general and gerontology aspects of ICT. Conclusion: Findings indicate that a wearable device is feasible to measure daily depressive moods in older adults living alone in community settings. To extend our research protocol to practice, gerontology nurses must adequately prepare to meet emerging health care trends and end users' needs for ICT-based nursing. It is necessary to develop diverse educational programs and active involvement in research and design of relevant devices and programs.

• The Journal of Bigdata
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• v.3 no.2
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• pp.1-10
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• 2018

In the field of smart water management, there is an increasing demand for strengthening competitiveness through big data analysis. As a result, systematic management (Governance) of big data is becoming an important issue. Big data governance is a systematic approach to evaluating, directing and monitoring data management, such as data quality assurance, privacy protection, data lifetime management, data ownership and clarification of management rights. Failure to establish big data governance can lead to serious problems by using low quality data for critical decisions. In addition, personal privacy data can make Big Brother worry come true, and IT costs can skyrocket due to the neglect of data age management. Even if these technical problems are fixed, the big data effects will not be sustained unless there are organizations and personnel who are dedicated and responsible for data-related issues. In this paper, we propose a method of building data governance for smart water data management based on big data.