• 한국사회정책
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• v.24 no.4
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• pp.3-29
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• 2017

The study checked whether the trade-off relationship between the home ownerhip and welfare by Kemeny and Castles was still valid in four welfare regimes, and analysed the factors of change and stability on rate of home ownership between social democratic states and southern european states. Based on the results of the study, the relationship between housing ownership and public expenditure was confirmed only in the liberal welfare regime and in the conservative welfare regime, as evidenced by the 2014 data collection. Second, social democratic states have dramatically increased housing mortgage loans and showed signs of housing commodification but southern european states have showed pre commodification of housing, maintained comparatively whole home ownership and low mortgage loans. Third, social democratic states has resulted in a rise in housing demand and housing prices, through reduced new housing and social rented housing construction, home owenership friendly taxation and generous lending policies, but southern european states have maintained a stable housing demand and housing prices thanks to the rich housing stocks, extended family, self provision and self promotion by close relatives, and intergenerational inheritance and transfers of housing. Although sequence of the equity ownership and welfare are still unclear, it is not a rational alternatives to induce housing ownership through large mortgage loans.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.4
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• pp.138-147
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• 2007

Metabolic pathway is a series of chemical reactions occuning within a cell and can be used for drug development and understanding of life phenomenon. Many biologists are trying to extract metabolic pathway information from huge literatures for their metabolic-circuit regulation study. We propose a text-mining technique based on the keyword and pattern. Proposed technique utilizes a web robot to collect huge papers and stores them into a local database. We use gene ontology to increase compound recognition rate and NCBI Tokenizer library to recognize useful information without compound destruction. Furthermore, we obtain useful sentence patterns representing metabolic pathway from papers and KEGG database. We have extracted 66 patterns in 20,000 documents for Glycosphingolipid species from KEGG, a representative metabolic database. We verify our system for nineteen compounds in Glycosphingolipid species. The result shows that the recall is 95.1%, the precision 96.3%, and the processing time 15 seconds. Proposed text mining system is expected to be used for metabolic pathway reconstruction.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.48-54
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• 2013

With the development of IT convergence technology and the construction of infrastructure for water leakage detection, the detection technology of damaged pileline's location and size is being spotlighted. The exhaustion of water resource due to the leakage of water supply facilities renders it urgent to detect water leakage effectively. In this paper, we proposed the water leakage detection monitoring simulation using the power spectrum analysis. We measured the reflected wave signal by the proposed water leakage detection monitoring simulation. The rate variability is calculated form the acquired reflected wave signal. And the power spectrum analysis using the Fast Fourier Transform is evaluated the correlation between the water leakage's size and the reflected wave. Ultimately, this paper suggests empirical simulation to verify the adequacy and the validity. Accordingly, the satisfaction and the quality of services will be improved the efficient management by supporting the real-time water leakage detection.

• Journal of the Korean Society of Food Science and Nutrition
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• v.46 no.4
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• pp.459-464
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• 2017

Biphenyl is used as an intermediate in the production of crop protection products, a solvent in pharmaceutical production, and as a component in the preservation of citrus fruits in many countries. Biphenyl is not authorized for use and also does not have standards or specifications as a food additive in Korea. National and imported food products are likely to contain biphenyl. Therefore, control and management of these products is required. In this study, a simple analytical method was developed and validated using HPLC to determine biphenyl in food. These methods are validated by assessing certain performance parameters: linearity, accuracy, precision, recovery, limit of detection (LOD), and limit of quantitation (LOQ). The calibration curve was obtained from 1.0 to $100.0{\mu}g/mL$ with satisfactory relative standard deviations (RSD) of 0.999 in the representative sample (orange). In the measurement of quality control (QC) samples, accuracy was in the range of 95.8~104.0% within normal values. The inter-day and inter-day precision values were less than 2.4% RSD in the measurement of QC samples. Recoveries of biphenyl from spiked orange samples ranged from 92.7 to 99.4% with RSD between 0.7 and 1.7% at levels of 10, 50, and $100{\mu}g/mL$. The LOD and LOQ were determined to be 0.04 and $0.13{\mu}g/mL$, respectively. These results show that the developed method is appropriate for biphenyl identification and can be used to examine the safety of citrus fruits and surface treatments containing biphenyl residues.

• Convergence Security Journal
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• v.23 no.2
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• pp.27-36
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• 2023

In recent years, ransomware attacks have become more organized and specialized, with the sophistication of attacks targeting specific individuals or organizations using tactics such as social engineering, spear phishing, and even machine learning, some operating as business models. In order to effectively respond to this, various researches and solutions are being developed and operated to detect and prevent attacks before they cause serious damage. In particular, honeypots can be used to minimize the risk of attack on IT systems and networks, as well as act as an early warning and advanced security monitoring tool, but in cases where ransomware does not have priority access to the decoy file, or bypasses it completely. has a disadvantage that effective ransomware response is limited. In this paper, this honeypot is optimized for the user environment to create a reliable real-time dynamic honeypot file, minimizing the possibility of an attacker bypassing the honeypot, and increasing the detection rate by preventing the attacker from recognizing that it is a honeypot file. To this end, four models, including a basic data collection model for dynamic honeypot generation, were designed (basic data collection model / user-defined model / sample statistical model / experience accumulation model), and their validity was verified.

• The Journal of the Acoustical Society of Korea
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• v.26 no.6
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• pp.250-258
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• 2007

Current speech recognition technology s achieved high performance with the development of hardware devices, however it is insufficient for some applications where high reliability is required, such as voice control of powered wheelchairs for disabled persons. For the system which aims to operate powered wheelchairs safely by voice in real environment, we need to consider that non-voice commands such as user s coughing, breathing, and spark-like mechanical noise should be rejected and the wheelchair system need to recognize the speech commands affected by disability, which contains specific pronunciation speed and frequency. In this paper, we propose non-voice rejection method to perform voice/non-voice classification using both YIN based fundamental frequency(F0) extraction and reliability in preprocessing. We adopted a multi-template dictionary and acoustic modeling based speaker adaptation to cope with the pronunciation variation of inarticulately uttered speech. From the recognition tests conducted with the data collected in real environment, proposed YIN based fundamental extraction showed recall-precision rate of 95.1% better than that of 62% by cepstrum based method. Recognition test by a new system applied with multi-template dictionary and MAP adaptation also showed much higher accuracy of 99.5% than that of 78.6% by baseline system.

• Journal of The Korean Society of Grassland and Forage Science
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• v.29 no.1
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• pp.31-36
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• 2009

This study was conducted to find out an alternative way of rapid and accurate analysis of forage quality. Near reflectance infrared spectroscopy (NIRS) was used to evaluate the possibility of forage analysis and collect 258 samples such as barley for whole crop silage, forage corn and sudangrass from 2002 to 2007. The samples were analyzed for CP (crude protein), CF (crude fiber), ADF (acid detergent fiber), NDF (neutral detergent fiber) and IVTD (in vitro true digestibility), and also scanned using NIRSystem with wavelength from $400{\sim}2,400nm$. Multiple linear regression was used with wet analysis data for developing the calibration model and validate unknown samples. The important index In this experiment was SEC and SEP $r^2$ for CF, CP, NDF, ADF and IVTD in calibration set were 0.70, 0.86, 0.94, 0.94 and 0.89, also 0.47, 0.39, 0.89, 0.90 and 0.61 in validation sample, respectively. The results of this experiment indicates that NIRS was reliable analytical method to assess forage quality, specially in CF, ADF and IVTD, sample should be included for respective forage samples to get accurate result. More robust calibrations can be made to cover every forage samples if added representative sample set.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.145-147
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• 2004

본 논문에서는 무선인터넷 환경에 적합한 개인화된 상품추천에이전트를 제안한다. 기존에 유선인터넷상의 많은 개인화 추천시스템에서는 초기 사용자 모델링을 위해 사용자에게 수많은 질의를 하고 응답을 요구하였다. 그러나 이러한 방식은 무선인터넷 환경에서 정보 전송량에 따른 높은 사용요금을 고려할 때 적용하기 힘든 방식이다. 본 제안 시스템은 사용자의 Social data률 이용하여 사용자를 비슷한 연령과 성별 그룹으로 나누고, 해당 그룹에서 구매율이 높은 상품을 우선 제시한 후, 사용자 행동을 모니터링 하여 암시적(Implicit)피드백을 통해 프로파일을 생성함으로써, 번거로운 질의-응답 과정 없이도 초기 사용자 모델링을 수행할 수 있다. 프로파일 생성 이후에는 이를 기반으로 하여 사용자몰 유사한 취향을 가진 그룹으로 다시 군집화한 후 협력적 추천을 하게 되며, 프로파일에는 해당 상품의 최종 카테고리명과 키워드를 수집함으로써, 상품의 브랜드와 규격정보를 반영한 추천이 가능하다. 또한 추천 상품과 사용자의 구매데이터와의 비교를 수행하여 사용자가 해당상품을 구매하였을 경우, 상품에 대한 취향정보는 그대로 유지하고 관련 상품을 추천하되, 구매한 상품이 중복 추천되지 않도록 하였다. 시스템 평가를 위해 프로토타입을 구현하여, 다수의 사용자에게 시스템을 이용하며 관심품목을 체크하도록 하였고. 추천횟수가 반복되며 히트율이 증가하는 결과를 통해 시스템의 학습속도와 성능을 평가하였다. 그리고 쇼핌몰에서 구매경험이 있는 사용자의 기존 구매데이터와 Social data를 이용한 초기 제시상품을 역으로 비교하여 오랜 시간과 비용 발생 없이도 초기 프로파일 생성의 유효성을 증명하였다. 포함하는 XML 질의에 대해서도 웹에서 캐쉬를 이용한 처리가 효율적임을 확인하였다.키는데 목적이 있다.RED에 비해 향상된 성능을 보여주었다.웍스 네트워크상의 다양한 디바이스들간의 네트워크 다양화와 분산화 기능을 얻을 수 있었고, 기존의 고가의 해외 솔루션인 Echelon사의 LonMaker 소프트웨어를 사용하지 않고도 국내의 순수 솔루션인 리눅스 기반의 LonWare 3.0 다중 바인딩 기능을 통해 저 비용으로 홈 네트워크 구성 관리 서버 시스템 개발에 대한 비용을 줄일 수 있다. 기대된다.e 함량이 대체로 높게 나타났다. 점미가 수가용성분에서 goucose대비 용출함량이 고르게 나타나는 경향을 보였고 흑미는 알칼리가용분에서 glucose가 상당량(0.68%) 포함되고 있음을 보여주었고 arabinose(0.68%), xylose(0.05%)도 다른 종류에 비해서 다량 함유한 것으로 나타났다. 흑미는 총식이섬유 함량이 높고 pectic substances, hemicellulose, uronic acid 함량이 높아서 콜레스테롤 저하 등의 효과가 기대되며 고섬유식품으로서 조리 특성 연구가 필요한 것으로 사료된다.리하였다. 얻어진 소견(所見)은 다음과 같았다. 1. 모년령(母年齡), 임신회수(姙娠回數), 임신기간(姙娠其間), 출산시체중등(出産時體重等)의 제요인(諸要因)은 주산기사망(周産基死亡)에 대(對)하여 통계적(統計的)으로 유의(有意)한 영향을 미치고 있어 $25{\sim}29$세(歲)의 연령군에서, 2번째 임신과 2번째의 출산에서 그리고 만삭의 임신 기간에, 출산시체중(出産時體重) $3.50{\sim}3.99kg$사이의 아

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.104-104
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• 2018

이수안전도의 기준이 되는 갈수량에 대해 기후변화 시나리오에 따른 전망을 제시하였다. 충주 댐 유역을 대상으로 기준기간(1986~2000년)에서의 기상청의 관측 기상자료와 IPCC 보고서의 RCP 4.5/8.5 시나리오를 대상으로 CMIP5(Coupled Model Intercomparison Project Phase 5)에서 제공하는 기후변화 자료 중 5개의 모델(ACCESS1.3 CanESM2, CNRM-CM5, GFDL-ESM2G, HadGEM2-AO)의 기준기간과 미래기간(2011~2100년)의 기상자료를 수집하였다. 기후변화 자료는 정상성/비정상성 분위사상법과 베이지안 모델 평균기법을 통해 불확실성과 통계적 오차를 저감하였다. 미래기간에서, 강우는 RCP 4.5에서 1.74mm/year, RCP 8.5에서 3.22mm/year, 실제증발산은 RCP 4.5에서 1.09mm/year, RCP 8.5에서 1.78mm/year의 증가율을 보였다. 실제증발산을 입력자료로 활용할 수 있도록 IHACRES모델의 CMD(Catchment Moisture Deficit) 비선형 모듈의 매개변수를 변이하여 유효강우량 산정 과정을 개선하였다. 기준기간에서 관측유량자료와 IHACRES의 시뮬레이션을 통해 산정된 유량자료의 R-squared는 0.65이다. 기준기간에서의 매개변수를 고정하여 미래기간의 유량을 산정하고 유황분석을 통해 갈수량 전망하였다. 유량은 RCP 4.5에서 4.41MCM/year, RCP 8.5에서 9.66MCM/year의 증가율을 보였다. 갈수량은 RCP 4.5에서 0.30MCM/year, RCP 8.5에서 -0.47MCM/year의 증감율을 보였다. 연간 강수량 대비 실제증발산의 비율의 추세분석 결과, RCP 4.5에서는 홍수기에는 0.014%/year, 비홍수기에는 0.027%/year의 증가율을 보이며 거의 변화가 없는 추세를 확인할 수 있었다. RCP 8.5의 홍수기에는 -0.042%/year, 비홍수기에서는 0.167%/year의 증감율을 보이며 홍수기에는 실제증발산에 비해 강수량의 증가가 확연히 보였으며 비홍수기에는 강수량에 비해 실제증발산의 증가가 뚜렷이 확인되었다. RCP 8.5에서 비홍수기의 강수량 대비 실제증발산의 증가가 갈수량의 감소로 반영된 것을 확인할 수 있었다. 미래기간의 RCP 4.5/8.5에서 실제증발산의 증가로 인하여 강수량이 증가함에 따라 유입량이 증가함에도 불구하고 갈수량의 증가로 이어지지 않았다. 미래 갈수량의 감소는 하천의 건전성과 이수안전도의 위협이 될 수 있다.

• Journal of the Korean Society of Food Science and Nutrition
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• v.46 no.3
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• pp.358-367
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• 2017

Preservatives, as food additives, are occasionally intrinsic to natural raw materials or sometimes generated during the fermentation process as reported in many research articles. Preservative compounds in raw food materials may persist in the final food product, which is not supposed to include such preservative compounds. In this study, we validated an analytical method for preservative compounds in raw materials of functional foods. Quantification of benzoic acid and sorbic acid was determined using HPLC-PDA analysis after distillation, whereas propionic acid was quantified with GC-FID. A significant set of validation data (accuracy, precision, linearity, recovery, etc) was acquired. A total of 212 samples were collected for analysis of naturally occurred preservatives, and preservatives were detected in 85 samples. Most of the detected samples showed less 10 mg/kg of preservatives. The results of this study provide fundamental data on naturally occurring preservatives in raw materials of functional foods. Moreover, building up a database of naturally occurring preservatives could solve problems in the current scientific data.