• 지역과문화
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• v.7 no.1
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• pp.99-126
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• 2020

This study aimed to investigate the effects of multicultural complexes on activating local culture. Prior studies that discuss activating local culture through multicultural complexes focus on literature reviews or quantitative research methods, which do not incorporate the detailed and practical opinions of the users of the location. Therefore, this study collected detailed information through in-depth interviews with users, and investigated the future development methods of multicultural complexes based on the obtained information. It focused on the Asia Culture Center (ACC) in Gwangju, which is considered a prime example of a multicultural complex, and conducted in-depth interviews with citizens who have lived in Gwangju for at least five years as well as visited the ACC to investigate the research question from a detailed perspective. The results revealed that although the citizens of Gwangju have a positive perception of the functions of ACC as a cultural space representing the city that activates the local culture, they perceive it as partially insufficient to be considered a multicultural complex. Major findings included the following: the contents of the ACC do not have a mass appeal, its inflexible hours of operation inconvenience visitors, and the contents available for visitors lack in quantity and quality. Therefore, in order for the ACC to appeal as a successful multicultural complex, it is necessary to cooperate with the members of the community to investigate their needs with respect to the contents and location, and prepare strategic plans to satisfy those needs.

• Science of Emotion and Sensibility
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• v.18 no.2
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• pp.3-18
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• 2015

Numerosity perception is considered as an innate ability of human being where its sensivitiy may widely vary across each individual person. The present study explored the relationship between visual working memory (VWM), visual search efficiency, and numerosity sensitivity. To accomplish this, we calculated each participant's K-value from change detection performance representing one's storage capacity in VWM, slopes of search RTs representing the search efficiency, and discrimination sensitivity for a quantity difference across two sets of dot arrays representing the numerosity sensitivity. The correlational analysis across the measurements revealed that participants with a high VWM capacity better discriminated the numerosity difference in the arrays when the spatial information in the two dot arrays was preserved. In contrast, the participants with high search efficiency discriminated better the difference in the arrays when the spatial information in the arrays was not preserved. The results indicate high VWM-capacity individuals were presumably able to use a strategy of storing the dot arrays by grouping them into a smaller pattern of dot arrays while high search-efficiency individuals were able to use a strategy of rapidly switching their focused attention across the dots in the arrays to count each individual dot. These in sum suggest that individual differences in numerosity sensitivity rely on one's working memory capacity as well as their efficient use of switching focused attention.

• Journal of Soil and Groundwater Environment
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• v.14 no.3
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• pp.57-67
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• 2009

In soil and sediment environment, microorganisms play major roles in biochemical cycles of ecological significant elements. Because of its ecological significance, microbial diversity and community structure information are useful as indexes for assessing the quality of subsurface ecological environment and bioremediation. To achieve more accurate assessment, it is requested to gain sufficient yield and purity of DNA extracted from various soil and sediment samples. Although there have been a large number of basic researches regarding soil and sediment DNA extraction methods, little guideline information is given in literature when choosing optimal DNA extraction methods for various purposes such as environmental ecology impact assessment and bioremediation capability evaluation. In this study, we performed a thorough literature review to compare the characteristics of the current DNA extraction methods from soil and sediment samples, and discussed about considerations when selecting and applying DNA extraction methods for environmental impact assessment and bioremediation capability evaluation. This review suggested that one approach is not enough to gain the suitable quantity and yield of DNA for assessing microbial diversity, community structure and population dynamics, and that a careful attention has to be paid for selecting an optimal method for individual environmental purpose.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.967-970
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• 2008

The liver cancer in our country cancerous occurrence frequency to be the gastric cancer in the common cancer, to initially at second unique condition or symptom after the case which is slowly advanced without gets condition many the case which will be diagnosed in the liver cancer, most there was not a reasonable treatment method especially and if what kind of its treated and convalescence of the patient non quantity one, the case which will be discovered in early rising the treatment record was considered seriously about under the early detection. The system which it sees with the system for the early detection of the liver cancer reacts the blood of the control group other than the patient who is confirmed as the liver cancer and the liver cancer to the bio chip and bio chip Profiles mechanical studying leads and it is a system which it classifies. 1149 each other it reacted blood samples of the control group other than the liver cancer patient who is composed of the total 50 samples and the liver cancer which is composed of 100 samples to the bio chip which is composed with different oligo from the present paper and it was a data which it makes acquire worker the neural network it led and it analyzes the classification efficiency of the result $92{\sim}96%$ which it was visible.

• Journal of Life Science
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• v.17 no.11
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• pp.1497-1504
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• 2007

To investigate the function and secretion of human thrombopoietin (TPO) in mammalian cells, hTPO cDNA was cloned using human liver cDNA, and recombinant hTPO (rec-hTPO) was produced in CHO cell lines. In addition, six N-linked glycosylation sites were substituted for Ala to elucidate the role of each carbohydrate chain. To analyze the biological activity, rec-hTPO protein was injected subcutaneously. Blood was withdrawn for platelet determination. The metabolic clearance rate (MCR) was also analyzed at the 1, 4, 10 and 24 hr after tail vein injection. Wild-type TPO (WT) was efficiently secreted into the medium. However, a hTPO mutant with 116 deleted nucleotides detected by PCR cloning was not secreted. The N-linked glycosylation sites had nearly the same expression quantity as rec-hTPO WT apart from mutants 3 and 4. The glycosylation site of mutant 4 appeared to be an indispensable site for hTPO secretion. Also characterized was the biological activity through an injection with rec-hTPO (10 ng) to ICR mice (7 weeks). The result of the blood analysis showed a considerable increase in the platelet number six days after He injection. To analyze the pharmacokinetics, rec-hTPO was injected into the tail vein (5 ng). The result was 200 pg/ml 1hr after this injection. Following this, it dramatically decreased and virtually disappeared 10 hours after the injection. Thus, rec-hTPO may be a treatment for thrombopenia by the production of the high active rec-hTPO. In addition, hTPO can permit the development of potent new analogues that stimulate the platelet value.

• Korean Journal of Construction Engineering and Management
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• v.12 no.2
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• pp.111-120
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• 2011

High-rise buildings have recently increased over the residential, commercial and office facilities, thus an understanding of construction cost for high-rise building projects has been a fundamental issue due to enormous construction cost as well as unpredictable market conditions and fluctuations in the rate of inflation by long-term construction periods of high-rise projects. Especially, recent violent fluctuations of construction material prices add to problems in construction cost forecasting. This research, therefore, develops a time-series model with the Box-Jenkins methodologies and material prices time-series data in Korea in order to forecast future trends of unit prices of required materials. BIM (Building Information Modeling) approaches are also used to analyze injection time of construction resources and to conduct quantity takeoff so that total material price can be forecasted. Comparative analysis of Predictability of tentative ARIMA (Autoregressive Integrated Moving Average) models was conducted to determine optimal time-series model for forecasting future price trends. Proposed BIM based time series forecasting model can help to deal with sudden changes in economic conditions by estimating future material prices.

• Information Systems Review
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• v.10 no.1
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• pp.135-164
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• 2008

This research is to offer a structured yet practical ex-ante evaluation methodology for IT investment. Benchmarking the best practices of four Korean organizations, we try to integrate core processes, relevant measures, and evaluation dimensions into a consistent and wholesome body of evaluating methodology. The best practices we considered encompass a wide range of business enterprises, including for-profit, non-profit, service-oriented, and manufacturing entities. The proposed methodology consists of three stages; the first stage checks the validity of investments by looking into comprehensiveness of planning, willingness to accomplish, justifiable grounds for the investments, overlapping investments, and obstructing risks; the second do so by putting an IT investment into economic, strategic, and technological perspectives; and the last third would produce a unified quantity that summarizes outcome of the previous stages. Incorporating the proven knowledge, guidelines, and quantifying tools, the methodology could make a valuable reference model for IT evaluation practitioners who have been bedeviled by having to going through such ex-ante evaluations.

• Journal of Korean Library and Information Science Society
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• v.47 no.4
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• pp.149-165
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• 2016

This survey was conducted to investigate liberal arts college students' academic reading, to explore basic issues in their reading, and to provide how to improve their academic reading in their majors. The participants in this study were 457 students who enrolled in a college of liberal arts in a university. The study results represented as follows. Firstly, there were significant differences in vocabulary, reading comprehension, and fast-reading competence among student groups of different majors. Secondly, 66.9% of the students did not read widely in their major subjects throughout all departments. 67.7% of the students with low reading performance responded that they could complete college courses only with course textbook reading, course participation, and requirement submission. Thirdly, regarding the number of major subject books that the participants read, 82.1% of the students read less than 15 books, while 11.3% read less than a book. The students' academic reading hours during per week were less than 5 hours for 68.9% students and less than 10 hours for 13.9% respectively. Based on the results (departmental differences in reading competence, wide reading in major subject books, and liberal arts students' reading hours), liberal arts colleges need to design programs to guarantee quality and quantity in reading major subject books.

• Korean Journal of Construction Engineering and Management
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• v.21 no.1
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• pp.78-86
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• 2020

Dozer is an expensive construction equipment and has a significant performance impact on earthwork performance. A machine guidance system has been applied to dozer equipment as a solution that can improve the performance. The system can provide earthwork-related information to equipment operators so that earthworks can be carried out with minimum support from surveyors. Construction Equipment Machine guidance has the function of supporting earthwork according to an earthwork plan by providing excavation-related information to machine operators. The objective of this study is to evaluate the performance improvement of a machine guidance system for an dozer earthwork operation, and to compare the machine guidance method with the traditional method. The performance has been evaluated in two folds: 1) productivity and 2) accuracy. The productivity shows the quantity of earthwork for a given unit time. The accuracy shows the deviation of grading level from the designed level on the construction drawing for earthwork. The machine guidance system has been applied to a testing bed in a construction site. Data comparison analysis showed that the earth earthwork had 46.59% improvement in productivity as well as 46.96% improvement in accuracy, and is expected to provide a tool for applying smart constrction to the earthwork operation.

• Journal of Korea Spatial Information System Society
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• v.8 no.3
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• pp.105-115
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• 2006

A sensor network which uses DCS(Data-Centric Storage) stores the same data into the same sensor node. Thus it has a hot spot problem when the sensor network grows and the same data arise frequently. In the past researches of the sensor network using DCS, the hot spot problem caused by growing the sensor network was ignored because they only concentrated on managing stored sensor data efficiently. In this paper, we proposed a non-equal region split method that supports efficient scalability on storing multi-dimensional sensor data. This method can reduce the storing cost, as the sensor network is growing, by dividing whole space into regions which have the same number of sensor nodes according to the distribution of sensor nodes, and storing and managing sensor data within each region. Moreover, this method can distribute the energy consumption of sensor nodes by increasing the number of regions according to the size of the sensor network, the number of sensor nodes within the sensor network, and the quantity of sensor data. Therefore it can help to increase the life time and the scalability of the sensor network.