• KOREAN JOURNAL OF CROP SCIENCE
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• v.59 no.3
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• pp.263-281
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• 2014

Transcription factors are essential for the regulation of gene expression in plant. They are binding to either enhancer or promoter region of DNA adjacent to the gene and are related to basal transcription regulation, differential enhancement of transcription, development, response to intercellular signals or environment, and cell cycle control. The mechanism in controlling gene expression of transcription can be understood through the assessment of the complete sequence for the maize genome. It is possible that the maize genome encodes 4,000 or more transcription factors because it has undergone whole duplication in the past. Previously, several transcription factors of maize have been characterized. In this review article, the transcription factors were selected using Pfam database, including many family members in comparison with other family and listed as follows: ABI3/VP1, AP2/EREBP, ARF, ARID, AS2, AUX/IAA, BES1, bHLH, bZIP, C2C2-CO-like, C2C2-Dof, C2C2-GATA, C2C2-YABBY, C2H2, E2F/DP, FHA, GARP-ARR-B, GeBP, GRAS, HMG, HSF, MADS, MYB, MYB-related, NAC, PHD, and WRKY family. For analyzing motifs, each amino acid sequence has been aligned with ClustalW and the conserved sequence was shown by sequence logo. This review article will contribute to further study of molecular biological analysis and breeding using the transcription factor of maize as a strategy for selecting target gene.

• Journal of KIISE
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• v.42 no.10
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• pp.1185-1194
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• 2015

A spherical panoramic image does not conform to the pin-hole camera model, and, hence, it is not possible to utilize previous techniques consisting of plane-to-plane transformation. In this paper, we propose a new method to estimate the planar geometric transformation between the planar image and a spherical panoramic image. Our proposed method estimates the transformation parameters for latitude, longitude, rotation and scaling factors when the matching pairs between a spherical panoramic image and a planar image are given. A planar image is projected into a spherical panoramic image through two steps of nonlinear coordinate transformations, which makes it difficult to compute the geometric transformation. The advantage of using our method is that we can uncover each of the implicit factors as well as the overall transformation. The experiment results show that our proposed method can achieve estimation errors of around 1% and is not affected by deformation factors, such as the latitude and rotation.

• Journal of the Korean Society of Marine Environment & Safety
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• v.14 no.1
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• pp.39-43
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• 2008

It is generally recognized that monitering of bio-molecules, which are related to the ocean environment, becomes more important. So far, for the detection of the bio-molecules, ocean samples were brought to laboratory to be analyzed using a complicate and expensive measuring system The "ship and dip" method takes a relatively long time to complete a analysis cycle and causes significant errors due to the time difference between the analysis processes. In order to overcome the drawbacks, developments of sensors for the detection of bio-molecules were suggested using nano-technology, such as nano-spintronic device, carbon nano tube device, and nano-semiconductors. The pros and cons of the technology were examined and reinvestigated to overcome the technical problems in the application to real sensors.

• The KIPS Transactions:PartB
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• v.15B no.5
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• pp.457-464
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• 2008

In the real-world operational environment, most of text classification systems have the problems of insufficient training documents and no prior knowledge of feature space. In this regard, $Na{\ddot{i}ve$ Bayes is known to be an appropriate algorithm of operational text classification since the classification model can be evolved easily by incrementally updating its pre-learned classification model and feature space. This paper proposes the improving technique of $Na{\ddot{i}ve$ Bayes classifier through feature weighting strategy. The basic idea is that parameter estimation of $Na{\ddot{i}ve$ Bayes considers the degree of feature importance as well as feature distribution. We can develop a more accurate classification model by incorporating feature weights into Naive Bayes learning algorithm, not performing a learning process with a reduced feature set. In addition, we have extended a conventional feature update algorithm for incremental feature weighting in a dynamic operational environment. To evaluate the proposed method, we perform the experiments using the various document collections, and show that the traditional $Na{\ddot{i}ve$ Bayes classifier can be significantly improved by the proposed technique.

• The Journal of Society for e-Business Studies
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• v.18 no.2
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• pp.95-110
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• 2013

This paper presents a novel feature engineering technique that can improve the conventional machine learning-based text classification systems. The proposed method extends the initial set of features by using hyperlink relationships in order to effectively categorize hypertext web documents. Web documents are connected to each other through hyperlinks, and in many cases hyperlinks exist among highly related documents. Such hyperlink relationships can be used to enhance the quality of features which consist of classification models. The basic idea of the proposed method is to generate a sort of ed concept feature which consists of a few raw feature words; for this, the method computes the semantic similarity between a target document and its neighbor documents by utilizing hierarchical relationships in the WordNet ontology. In developing classification models, the ed concept features are equated with other raw features, and they can play a great role in developing more accurate classification models. Through the extensive experiments with the Web-KB test collection, we prove that the proposed methods outperform the conventional ones.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.250-255
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• 2004

To analyze delay, Seoul - Daegu line of Korea High Speed Railway was divided into three sections and analyzed independently by the business characteristics. The analysis on the project delay reasons was performed on macro and micro scales. This analytic method was named as 'Macro-Micro Delay Analysis Method (MMDAM)'. The macro scale analysis has three approaches, which are (1) scheduling, (3) structural characteristic, (3) and responsibility of project administrative works. Micro analysis also has three, methodologies which are (1) As Planned Method, (2) As Built method, (3) Modified Time Impact Analysis for analyzing the most influential section which the largest delay occurred. Using elicited project delay reasons from above analysis, the questionnaire was carried out for analyzing the influence of project delay reason. The reasons of the delay were driven from two different aspects (1) structural characteristic and (2) responsibility of the people involved in the project. The reasons that were identified from aforementioned three sections are the factors of the delay of the large-scale government driven projects. Finally, the author suggested the methodology of identifying the project delaying factors. The author also analyzed delay reasons in both the overseas and domestic cases of high rapid railway construction and has elicited some benchmarks for the future projects.

• Clinical and Experimental Pediatrics
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• v.45 no.4
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• pp.512-518
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• 2002

Purpose : Cerebral palsies are the most common and severe motor disabilities in childhood. There is currently increased interest in their occurrence and patterns of likely cause for a variety of reasons. Therefore, a retrospective study was carried out to understand the clinical features of cerebral palsy. Methods : A retrospective chart review was conducted of all children with cerebral palsy who were diagnosed at St. Benedict Hospital between March 1999 and March 2001. Results : Cerebral palsy patients were classified into 6 major groups. Of six groups, spastic diplegia is the most common type of cerebral palsy(55.3%). The risk factors of cerebral palsy were placenta previa(1 case), placenta abruption(1 case), cytomegalovirus infection(1 case), prematurity (53 cases), neonatal asphyxia(12 cases), dystocia(2 cases), breech delivery(1 case), multiple birth(5 cases), head trauma(3 cases), meningitis(2 cases) and unknown(26 cases). Among the 59 in the preterm group, 37 patients showed MR or CT images of periventricular leukomalacia. Among the 44 in the term group, 15 patients showed MR or CT images of atrophy. Among 103 patients, 29 patients(28.2%) had a seizure disorder. Conclusion : It is very importent to understand the clinical features and risk factors of cerebral palsy for physicians to diagnose and manage cerebral palsy patient.

• Korean Journal of Head & Neck Oncology
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• v.30 no.1
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• pp.1-4
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• 2014

배경 및 목적 타액선 선양낭성암종은 느린 성장 속도와 늦은 원격 전이를 특징으로 하는 드문 상피성종양이다. 본 연구는 다양한 임상 병리학적 변수를 통해 선양낭성암종의 원격 전이에 영향을 주는 인자를 조사하고자 하였다. 대상 및 방법 1999년 10월부터 2011년 12월까지 본원 이비인후과에서 타액선 선양낭성암종으로 진단되어 치료 받은 44명(남자 19명, 여자 25명)을 대상으로 원격전이를 유발하는 위험 인자를 조사하였다. 8명의 환자는 배제 기준에 따라 제외하였다. 환자의 평균 연령은 54세였다. 환자의 병리 보고서, 종양의 크기, T 병기, 수술 절제연의 종양 존재 유무, 신경 조직 침습, 림프절 전이가 조사되었다. 결 과 15명의 환자가 원격전이가 있었으며 21명은 원격 전이가 없었다. 원격 전이를 유발할 수 있는 여러 인자들을 비교하였을 때, 원격 전이는 수술 절제연의 종양 세포 잔존(p=0.014), 종양의 크기(p=0.038), 진행된 T 병기(p=0.024)가 통계적으로 유의하게 연관성이 있었다. 림프절 전이와 신경 조직 침습은 원격 전이와 연관이 없었다. 결 론 종양의 크기, 진행된 T 병기, 수술 후 절제연의 종양 세포 잔존은 원격 전이의 예측 인자로 생각된다. 따라서 이에 해당하는 환자의 경우 더욱 철저한 관리 및 경과 관찰을 요한다.

• Pediatric Infection and Vaccine
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• v.22 no.3
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• pp.194-200
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• 2015

Purpose: Urinary tract infection (UTI) is a common bacterial infection in children and Escherichia coli is a predominant pathogen. The purpose of this study is to evaluate phylogenetic groups and virulence factors of E. coli causing UTI in children in Korea. Methods: From October 2010 to April 2013, urinary E. coli strains were isolated from the 33 pediatric patients of UTI. Multiplex polymerase chain reactions were performed to evaluate the phylogenetic groups and 5 virulence factor genes (fimH, sfa, papA, hylA, and cnf1) of E. coli. Distribution of molecular characteristics of E. coli was analyzed by clinical diagnosis and accompanying vesicoureteral reflux (VUR). Results: Most (84.8%) uropathogenic E. coli were belonged to phylogenetics group B2 and the others (15.2%) were belonged to group D. The virulence factors were distributed as: fimH (100%), sfa (100%), hylA (63.6%), cnfI (63.6%), and papA (36.4%). According to clinical diagnosis, phylogenetic distribution of E. coli strain was 92.3% of B2 and 7.7% of D in acute pyelonephritis and 57.1% of B2 and 42.9% of D in cystitis. Distribution of virulence factors was similar in both groups. In patients with acute pyelonephritis, phylogenetic distribution was similar in VUR and non-VUR group, but proportion of papA genes were lower in VUR group than that of non-VUR group (43.8% vs. 20.0%, P=0.399). Conclusions: This study provides current epidemiologic molecular data of E. coli causing pediatric UTI in Korea and will be a fundamental for understanding the pathogenesis of pediatric UTI.

• Korean Journal of Environment and Ecology
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• v.9 no.2
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• pp.166-181
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• 1996

This study was conducted to investigate the community structure of old-growth forest and vegetation-environment relationships in the Sangwonsa-Bironbong area, Odaesan National Park. TWINSPAN and DCA were used to identify and describe the community types for 45 sample sites. The results of DCA ordination showed that soil pH, soil organic matters and soil moisture played a role in determining community types in the study area. Community types of the study area were role in determining community types in the study area. Community types of the study area were classified into 6 groups by TWINSPAN; Abies holophylla-Carpinus koraiensis community. Each community types were significantly different in soil pH and soil organic matters. And each community types can be explained by geographical features.