• Journal of Korean Library and Information Science Society
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• v.34 no.1
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• pp.423-446
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• 2003

Library and information science professionals have to grasp user's needs and make the best decisions when designing, acquiring, and managing library information systems. However, it is not easy for them to make the decision owing to the lack of an understanding of the characteristics of a specific user group in computer-based information systems in libraries. The aim of this study was to provide information on the characteristics and abilities of specific user groups such as male & female student groups, undergraduate & graduate ones, Sciences and Humanities majored ones etc. The actual OPAC systems were searched by specific student user groups in selected academic libraries in both Republic of Korea and the States for the purpose(Author, Title, and Subject search). Ouestionnaire was prepared and administered to Korean college students in the city of Taegu, Korea and adjacent area. Two hundred and seven usable questionnaires were obtained and analyzed. These were analyzed using descriptive, inferential statistics, and SPSS software. The major findings by data analysis of this study were described in chapters 4 and 5 of this paper in detail. Also, conclusions were drawn from the findings in this paper, and recommendations were proposed when designing, adopting, or managing a new system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.482-492
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• 2019

This study began with the assumption that the phonetics-centered interpretation of 100 Chinese characters would enhance thinking ability and comprehension. For this purpose, two experimental groups and a comparative group were recruited from the graduate students from June 3, 2017 to February 22, 2018. The experimental group participated in the phonetics-centered Chinese character lecture for 4 hours per week for 6 weeks for a total of 24 hours. QEEG were measured before and after the phonetics-centered Chinese character lecture. A total of 18 subjects ( nine subjects in the experimental group and nine comparative subjects) were included in the study, and the difference between before and after the QEEG of the experimental and comparative groups was analyzed, respectively. The conclusions drawn from this study are as follows. First, the Chinese character lecture changed brain waves. Second, the LORETA analysis before and after the lecture in the experimental group significantly decreased the delta wave in the brain region (Broadmann 40) associated with the meaning of language and phonology. This study result is meaningful because it shows the significant changes of EEG via the lecture.

• Journal of Korea Spatial Information System Society
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• v.3 no.1 s.5
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• pp.27-36
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• 2001

The 4S represents four systems that are commonly related to spatial information: GIS, GNSS, SIIS, ITS. The 4S technology that integrates the four systems gets more and more interests recently. In this paper, we adopt component paradigm to 4S system, apply it to the disaster control field, and design a system based on component architecture. There are many application areas to which the 4S technology can be applied. but the disaster control system is one of the most typical fields. We apply 4S technology to the disaster control fields, including fire, flood, and typhoon. Because of the characteristics of disaster control system that handles large-volume map data, component-based 4S system will take considerable effects on the improvement of disaster control works. The core functions that are common to all disaster control fields are included in 4S kernel component because of the consideration of time performance. Remaining non-common functions are implemented as separate components named as work-specific components. In our suggested system, a vehicle named as 4S-Van collects real-time information on the spot of disaster and sends image and location information to control center via wireless transmission. The control center analyzes the information together with its own spatial database or map, which was not possible in the conventional disaster control works. The control center can get desired information by sending a request of re-transmission to 4S-Van. Such method of real-time transmission supported by on-the-spot information makes the current situation judgment, decision making, and order issuance more exact, effective, and timely. The suggested system and method are expected to bring remarkable improvement on disaster control works.

• Journal of Korean Society of Environmental Engineers
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• v.39 no.12
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• pp.723-732
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• 2017

As the development of ICT technology, in order to solve the problem of scattered water information's availability, WINS(Water management Information Networking System) by the Ministry of Land, Infrastructure and Transport was established and has been operated since 2004. However, there has been a disadvantage of providing specialized and limited information to the water resources sector mainly and a lack of active sharing of information because of no compulsory provision of information sharing between participants. In order to solve these problems, this paper carried out system development study, to do this, the status of domestic water information was surveyed and domestic and overseas related systems were compared and analyzed. The latest ICT technology was used to realize the contents as screen, and the user interface definition was created to present a role model of integrated water management through maximizing visualization by combining GIS and realtime data and providing space-time integrated information. These prior studies reached to actual construction of the ICT-based integrated management system for water information by K-water. This system is in service to the public installed in the water information portal, "MyWater".

• Proceedings of the Korean Vacuum Society Conference
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• 2000.02a
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• pp.46-46
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• 2000

과학기술 및 산업의 발달로 인하여 실험 중 또는 공정 상에서 in situ, 실시간으로 측정하고 분석하며 이를 되먹임하는 품질제어의 중요성이 대두되고 있다. 반도체 공정 또는 박막제조 공정 중에서 박막의 두께, 굴절율, 물질의 조성비 등을 알아내는 것이 긴요한 과제로 대두되고 있으며, 이를 위하여 공정중인 제품의 품질을 실시간으로 평가하는 장비가 요구되고 있는 것이다. 나아가 공정중의 예상하지 못한 시료의 특성변화를 그대로 감지하여 적절히 보정해 주는 되먹임 기법은 높은 수율을 보장하는 첨단기법이라 할 수 있다. 이러한요구에 부응할 수 있는 본 제품(Elli-situ 2000)은 박막의 두께 표면변화를 sub 의 정밀도를 가지고 in situ, 실시간으로 정밀 측정할 수 있는 첨단 계측장비로서 빛의 편광상태 변화를 측정하기 때문에 공정 중의 시료에 영향을 주지 않는 비간섭 특성과 비접촉 특성의 장점 뿐만 아니라 공기중에서는 물론 진공이나 액체 등의 매질에서도 사용될 수 있어서 매질에 대한 제약이 거의 없다는 장점도 가지고 있다. 편광상태의 제어 및 측정을 필요한 광학장비의 경우, 제작이 까다롭기 때문에 대부분 가격이 높은 편이고 사용방법이나 측정 데이터에 대한 해석이 어렵다는 단점이 있으나, Elli-situ 2000의 경우 상용화된 외국제품(국내제품은 없슴)과 비교하여 성능 및 가격경쟁력에 있어서도 우위에 있으며 간단, 명료한 장비조작 및 컴퓨터를 사용한 구동의 전자동화를 이룸으로써 초보자도 쉽게 측정하고 데이터를 처리할 수 있도록 하였다. 또한 취부대의 경우, 진공포트 플랜지의 표준규격(2-3" Del-Seal 플랜지 규격)에 맞춤으로써 기존의 진공챔버에 부착하여 진공에 전혀 영향을 주지 않는 상태에서 시료의 변화를 in situ, 실시간으로 정밀 측정할 수 있도록 하였다. 하였다.O 박막은 산소 가스압력과 기판온도, 인가 전류를 변화시켜가며 증착하였으며 이에 따른 박막의 결정성 변화를 알아보았다. 기판온도를 실온에서 점차 증가시켜나가면 $\Delta$$\theta$50은 급격히 감소하며 30$0^{\circ}C$에서는 결정성이 우수한 막을 얻을 수 있었다. 또한 산소 가스 압력이 0.5~1mTorr에서 $\Delta$$\theta$50은 양호한 값을 나타내었지만 그 이상에서는 c-축 배향성이 나빠짐을 확인하였다. 따라서 대향타겟식스퍼터 장치를 이용하여 ZnO 박막을 증착시 가스압력 0.5~1mTorr, 기판온도 20$0^{\circ}C$이상의 막 제작조건에서 결정성이 우수하게 나타나는 것을 확인할 수 있었다. gluten이 단단해졌음을 알수 있었다. 유화제 stearly 칼슘, 혹은 hemicellulase를 amarans 10% 대체한 밀가루에 첨가하면 확연히 비용적을 증대시킬 수 있다는 사실을 알 수 있었다. quinoa는 명아주과 Chenopodium에 속하고 페루, 볼리비아 등의 고산지에서 재배 되어지는 것을 시료로 사용하였다. quinoa 분말은 중량의 5-20%을 quinoa를 대체하고 더욱이 분말중량에 대하여 0-200ppm의 lipase를 lipid(밀가루의 2-3배)에 대하여 품질개량제로서 이용했다. 그 결과 quinoa 대량 7.5%에서 비용적, gas cell이 가장 긍정적 결과를 산출했고 반죽의 조직구조가 강화되었다. 또 quinoa 대체에 의해 전분-지질 복합제의 흡열량이 증대된 것으로부터 전분-지질복합제의 형성 촉진이 시사되었다.이것으로 인하여 호화억제에 의한 노화 방지효과가 기대되었지만 실제로 빵의 노화는 현저히 진행되었다. 이것은

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.224-229
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• 2018

Korea is experiencing a rapid increase in electricity consumption due to rapid economic development, and many power transmission towers are installed to provide smooth power supply. The high-voltage transmission line is mainly made of aluminum stranded wire, and the wire is loosely guided so that some deflection is maintained. The degree of deflection has a great influence on the quality of the construction and the life of the cable. As the time passes, the shrinkage and expansion occur repeatedly due to the weight of the cable and the surrounding environment. Therefore, periodic monitoring is essential for the management of the power transmission line. In this study, the power transmission lines were monitored using 3D laser scanning technology. The data of the power transmission line of the study area was acquired and the point cloud type 3D geospatial information of the transmission line was extracted through data processing. The length of the transmission line and deflection amount were calculated using the 3D geospatial information of the transmission line, and the distance from the surrounding obstacles could be calculated effectively. The result of study shows the utilization of 3D laser scanning technology for transmission line management. Future research will contribute to the efficiency of transmission line management if a transmission line monitoring system using 3D laser scanning technology is developed.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.309-327
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• 2021

Dynamic treatment regimes (DTRs) are decision-making rules designed to provide personalized treatment to individuals in multi-stage randomized trials. Unlike classical methods, in which all individuals are prescribed the same type of treatment, DTRs prescribe patient-tailored treatments which take into account individual characteristics that may change over time. The Q-learning method, one of regression-based algorithms to figure out optimal treatment rules, becomes more popular as it can be easily implemented. However, the performance of the Q-learning algorithm heavily relies on the correct specification of the Q-function for response, especially in observational studies. In this article, we examine a number of double-robust weighted least-squares estimating methods for Q-learning in high-dimensional settings, where treatment models for propensity score and penalization for sparse estimation are also investigated. We further consider flexible ensemble machine learning methods for the treatment model to achieve double-robustness, so that optimal decision rule can be correctly estimated as long as at least one of the outcome model or treatment model is correct. Extensive simulation studies show that the proposed methods work well with practical sample sizes. The practical utility of the proposed methods is proven with real data example.

• Journal of the Korean Society of Radiology
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• v.16 no.4
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• pp.453-462
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• 2022

In this paper, the artificial intelligence (AI) technology used in the medical image analysis field was analyzed through a literature review. Literature searches were conducted on PubMed, ResearchGate, Google and Cochrane Review using the key word. Through literature search, 114 abstracts were searched, and 98 abstracts were reviewed, excluding 16 duplicates. In the reviewed literature, AI is applied in classification, localization, disease detection, disease segmentation, and fit degree of registration images. In machine learning (ML), prior feature extraction and inputting the extracted feature values into the neural network have disappeared. Instead, it appears that the neural network is changing to a deep learning (DL) method with multiple hidden layers. The reason is thought to be that feature extraction is processed in the DL process due to the increase in the amount of memory of the computer, the improvement of the calculation speed, and the construction of big data. In order to apply the analysis of medical images using AI to medical care, the role of physicians is important. Physicians must be able to interpret and analyze the predictions of AI algorithms. Additional medical education and professional development for existing physicians is needed to understand AI. Also, it seems that a revised curriculum for learners in medical school is needed.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.8
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• pp.22-30
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• 2009

Due to high levels of integration and complexity, the Network-on-Chip (NoC) approach has emerged as a new design paradigm to overcome on-chip communication issues and data bandwidth limits in conventional SoC(System-on-Chip) design. In particular, exponentially growing of energy consumption caused by high frequency, synchronization and distributing a single global clock signal throughout the chip have become major design bottlenecks. To deal with these issues, a globally asynchronous, locally synchronous (GALS) design combined with low power techniques is considered. Such a design style fits nicely with the concept of voltage-frequency-islands (VFI) which has been recently introduced for achieving fine-grain system-level power management. In this paper, we propose an efficient design methodology that minimizes energy consumption by VFI partitioning on an NoC architecture as well as assigning supply and threshold voltage levels to each VFI. The proposed algorithm which find VFI and appropriate core (or processing element) supply voltage consists of traffic-aware core graph partitioning, communication contention delay-aware tile mapping, power variation-aware core dynamic voltage scaling (DVS), power efficient VFI merging and voltage update on the VFIs Simulation results show that average 10.3% improvement in energy consumption compared to other existing works.

• Horticultural Science & Technology
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• v.33 no.4
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• pp.575-584
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• 2015

Drought stress is a crucial environmental factor determining crop survival and productivity. The goal of this study was to clearly identify a new drought stress-tolerance gene in Brassica rapa. From KBGP-24K microarray data with the B. rapa ssp. pekinensis inbred line 'Chiifu' under drought stress treatment, a gene which was named BrDSR (B. rapa Drought Stress Resistance) was chosen among 738 drought-responsive unigenes. BrDSR function has yet to be determined, but its expression was induced over 6-fold by drought. To characterize BrDSR, the gene was isolated from B. rapa inbred line 'CT001' and found to contain a 438-bp open reading frame encoding a 145 amino acid protein. The full-length cDNA of BrDSR was used to construct an over-expression vector, 'pSL100'. Tobacco transformation was then conducted to analyze whether the BrDSR gene can increase drought tolerance in plants. The BrDSR expression level in T1 transgenic tobacco plants selected via PCR and DNA blot analyses was up to 2.6-fold higher than non-transgenic tobacco. Analysis of phenotype clearly showed that BrDSR-expressing tobacco plants exhibited more tolerance than wild type under 10 d drought stress. Taking all of these findings together, we expect that BrDSR functions effectively in plant growth and survival of drought stress conditions.