• Journal of the Institute of Convergence Signal Processing
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• v.19 no.3
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• pp.118-124
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• 2018

Obecity in pregnancy causes many problems and increases risk of pregnancy complications at the time of childbirth. But there is a lack of comprehensive analysis of factors that are negatively affected during pregnancy. Therefore, this study is intended to analyze seven factors of high-risk maternal diseases by the degree of obesity using body mass index(BMI). We conducted a cross tabulation analysis and regression analysis to analisized relationship between variables : Gestational Hypertension(GH), Gestational Diabetes Mellitus(GDM), Thyroid Stimulation Hormone(TSH), Age, Blood Urea Nitrogen Test(BUN), Total-Cholesterol(T-C), and newborn's weight. As a result, the more the obesity level of mothers increases, the more the proportion of mothers with GH, GDM, TSH increases. And there was a positive relationship between the BMI of mothers and their age, T-C, and Newborn weight, and a negative relationship to the BUN.

• Weed & Turfgrass Science
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• v.4 no.3
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• pp.249-255
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• 2015

Trichoderma spp. were famous fungi used for turfgrass management in golf course. This study was conducted to evaluate effects of two microbial fertilizers containing Trichoderma harzianum and T. atroviride on the growth and quality of creeping bentgrass with turf color index, chlorophyll index, root length, shoot number, clipping yield and nutrient content. Treatments were designed as follow; non-fertilizer (NF), control fertilizer (CF), T. harzianum (TH), and T. atroviride (TA). Chlorophyll index and root length of TH and TA were increased than these of CF and shoot number and content and uptake of nitrogen (N) of TA higher than these of CF. The N content in turfgrass tissue was significantly related to shoot number, root length and N uptake (P<0.05) and shoot number was positively relate to chlorophyll index (P<0.05). These results indicated that application of Trichoderma harzianum and T. atroviride improved a growth and quality of creeping bentgrass by promoting N uptake.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.586-586
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• 2022

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.70-70
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• 2022

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.44 no.7
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• pp.629-639
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• 2016

Batch process TRN(Terrain Relative Navigation) using an altimeter is a technique to correct position by correlating a series of periodically measured terrain height profile and terrain height candidate profile of the DEM(Digital Elevation Map). However, it is generally known that the performance of TRN is degraded when measured terrain height profile and terrain height candidate profiles of the DEM are similar at hill or repetitive terrain. In this paper, area based terrain slope roughness index[11] is applied and area based terrain curvature roughness index which can detect similarity of terrain in ROI(Region Of Interest) is proposed to overcome this problem. Applying terrain roughness indexes to terrain relative navigation system of lunar lander, it is shown that TRN using area based terrain roughness results in improved performance compared to conventional trajectory based method through simulation.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.5
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• pp.483-492
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• 2020

In this study, we compared and analyzed the Revealed Comparative Advantage (RCA) and Trade Specialization Index (TSI) based on ballast water management systems (BWMS) trade data, which are related to the International Maritime Organization (IMO) Ballast Water Management Convention to suggest the current status of Korea's industrial competitiveness and suggest future development directions for the BWMS industry. As international interest in eco-friendly vessels is expanding, the IMO is engaged in dramatic discussions and agreement-making related to marine emissions of pollutants from ships. IMO member states that must implement this convention are striving to develop technology and secure industrial competitiveness as major industries in the eco-friendly shipping sector, with the BWMS industry experiencing a high market entry barrier and the possibility of the leading market entrants gaining leadership. The Republic of Korea accounts for 17 (approximately 38 %) of the 45 BWMS that received final approval as of October 2019. Based on trade data relating to product codes HS842219, HS84212, and HS89, the RCA index and TSI were calculated and compared. The findings revealed that the Republic of Korea has relative inferiority compared to countries such as Germany and Denmark. Despite this, Korea's favorable industrial environment, which includes several IMO-approved BWMS technologies and the possession of domestic certification institutions, is likely to strengthen its competitiveness in the BWMS market.

• The korean journal of orthodontics
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• v.28 no.5 s.70
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• pp.681-688
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• 1998

The purpose of this study was to evaluate the effects of the surface treatments of resin bases in indirect bracket bonding technique by study of shear bond strengths and failure patterns. Ninety metal brackets were bonded to the stone models of specimens involving bovine lower incisor with light-cured adhesive(Light-Bond). After removal of brackets with the resin base from the stone models, the surfaces of resin bases in thirty brackets were treated with Plastic Conditioner and the surfaces of resin bases in another thirty brackets were treated with sandblaster and the remaining thirty brackets were served as controls. All brackets were transferred to the specimens and bonded using sealant. The shear bond strength was tested on universal testing machine, and failure pattern was assessed with the adhesive remnant index(ARI). The results were as follows: 1. Surface treatments of resin bases with Plastic Conditioner or sandblasting showed statistically higher shear bond strengths than no treatment group. 2. No significant difference in shear bond strength was found between Plastic Conditioner treatment and sandblasting treatment groups. 3. No significant difference in ARI scores was found among the three groups. 4. As the result of correlation analysis between shear bond strengths and hnl scores, failure at adhesive/bracket base interface tends to increase when the shear bond strength was high, but it was not significant statistically. The above results suggest that improvement of bond strength can be obtained by surface treatment of resin base in the indirect bonding technique.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.4
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• pp.35-42
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• 2008

Since Bianchi's 2-D Markov Chain Model considers collision problem only in ideal channel condition, it does not reflect real channel impaired by fading, interference, and noise. Distributed Coordination Function(DCF) doubles its contention window(CW) when transmission fails regardless of collision or transmission error. Increase of CW caused by transmission error degrade throughput and increase the delay. In this paper, we present quantitative analysis of the impact of the parameters such as contention window size(CW), transmission probability for a given time slot(${\Im}$), transmission failure probability($p_f$), on the system performance and provide a method how to decrease the initial CW to achieve equivalent performance.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.948-951
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• 2014

본 논문에서는 개미 군집 최적화 알고리즘과 센티워드넷(SentiWordNet)을 이용한 감성 분석 방법을 제안한다. 먼저, 데이터 수집 단계에서는 소설 웹(예: 페이스북)으로부터 주어 (subject), 서술어(predicate), 목적어(object)의 3 개의 요소로 구성된 RDF (Resource Description Framework)의 형태로 데이터를 수집한다. 그리고 개미 군집 최적화 알고리즘을 이용하여 수집된 RDF 튜플(tuple)을 수치화한 후, 사용자의 감성에 대하여 제안한 수식을 이용하여 페르몬(pheromone)을 계산한다. 센티워드넷을 통하여 얻은 감성 지수를 반영하여 이전 단계에서 계산된 여러 개의 페르몬 값에 대한 전체 감성 지수를 계산한다. 제안한 방법의 타당성 검증을 위하여 전체 감성 지수를 바탕으로 계산된 사용자의 감성 동향이 적절하게 분석됨을 사용자의 실제 생활과의 비교를 통하여 보인다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.383-386
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• 2009

집단지성을 이용한 지식검색 서비스는 개방적 구조와, 축적된 자료를 공유할 수 있다는 커뮤니티적인 특성으로 큰 인기를 얻고 있다. 하지만 방대한 지식공유속에서 사용자가 진정으로 원하는 답변 획득은 점점 더 어려워지고 있다. 최근 알고리즘적으로 가장 정교하다고 평가 받는 구글을 통해 상위에 랭크된 검색결과들 중에는 집단지성을 통해 구축된 위키피디아, Yahoo Q/A 과 같은 Social 검색엔진의 검색결과들이 상당수 존재한다. 본 논문은 대부분의 질문은 인간으로부터 문제해결의 실마리를 얻을 수 있다는 점과 온라인상의 사용자에 대한 연구를 통해 지식검색 서비스 사용자중 Influence를 찾는것에 목적이 있다. 이에 국내 Social 검색 엔진의 대표인 네이버 지식iN을 중심으로 지식검색내의 사용자 활동성과 신뢰성을 분석하고, 이를 기반으로한 Influence 지수 산정 알고리즘을 제안한다. 제안된 알고리즘을 통한 Influence 지수는 지식검색 서비스에서 문제 해결의 실마리를 가진 사용자를 찾는 중요한 지표가 될 것이다.