• 한국토양비료학회지
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• 제32권4호
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• pp.383-397
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• 1999

오염토양을 효과적으로 진단하고 경제적인 복원을 위해서는 오염토양의 오염원인, 오염정도, 주변 환경이나 인축에 대한 피해발생 유무, 오염물의 이동경로 등을 올바르게 평가하는 것이 대단히 중요하다. 이를 위해서는 오염토양과 토양내 가스, 주변 지하수 및 지표수, 침전물 등의 효율적 시료채취와 정확한 분석이 필수적이라 할 수 있다. 오염지역 토양의 오염도평가를 표준화하고 처리효율성을 높이기 위해서는 전문처리요원이 토양의 오염도와 위험성을 정확하게 판단 할 수 있도록 단순하면서도 경제적인 연속시험법을 필요로 한다. 이것은 오염토양의 조사와 복원시간 및 전치적일 기술의 진보를 가져오는데 상당한 시간절약을 꾀할 수 있다. 특히 효과적인 현장평가를 위해서는 오염특성을 포함한 많은 관련 요인들에 대한 표준화된 기준하에서 오염의 형태와 정도를 결정하는 것이 중요하다. 현장평가를 위한 일반적인 절차는 작업계획과 토양조사수준에 따라 Phase I, II, III의 단계적 방법으로 구성되어 있다. Phase I은 토양의 과거용도 및 오염물의 유입경로를 기초로 하여 현장의 환경여건을 파악하는 단계이다. Phase I에서 잠재적 오염물질에 의해 오염된 것이 확인되면 Phase II에서는 오염물의 존재여부와 존재정도를 파악하는 단계로 시료의 채취 및 분석과정이 여기에 포함된다. Phase III는 Phase I과 II의 결과를 바탕으로 오염토양을 복원하는 단계이다. 여기서 평가기준이 지역 특이적인 것인지 적당한 것인지를 결정하는 중요한 요인은 (1) 시료채취의 공간분포도와 지역의 크기, (2) 취해진 시료의 수, (3) 시료채취 방법, 그리고 (4) 자료를 분석요령 등이다. 선택된 분석방법이 추천할만한 것일지라도 정량방법의 선택여부는 현장조사방법에 대한 훈련이나 조사경험을 가진 사용자에 의해 결정되는 것이 바람직할 것이다.

• 한국컴퓨터정보학회논문지
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• 제18권4호
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• pp.57-64
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• 2013

지난 10년 동안, 기능성게임 산업은 지속적으로 성장하여 왔으나 기능성게임에 관련된 메타데이터 정보와 품질정보를 제공하기 위한 안정적이고 신뢰할 수 있는 시스템이 제대로 개발되지 않았다. 기존 시스템은 메타데이터 검색 중심의 기본적인관리 기능만을 지원한다. 따라서 우리는 기존의 시스템의 불편한 사항을 개선할 뿐만 아니라 기능성게임의 품질정보까지 관리할 수 있는 통합된 시스템을 개발하였다. 이를 위해 기능성게임의 품질평가 요소와 품질정보 제공방법 등을 개발하여 시스템에 연계하였다. 나아가 시스템 활용에 관한 사용자의 만족도 평가 조사를 실시하였다. 본 시스템의 장점은 일반사용자, 개발자에게는 유용한 메타데이터 및 품질 정보를 제공해주고, 관리자에게는 기능성 게임에 관련된 모든 정보를 쉽고 편리한 방법으로 관리할 수 있도록 지원하는 것이다.

• 대한토목학회논문집
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• 제35권1호
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• pp.237-254
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• 2015

공원은 도시에 활력을 주는 중요한 시설이나 관리의 부재시 우범지대로 전락할 수 있다. 최근 범죄예방 환경설계(CPTED: Crime Prevention Through Environmental Design)에 의한 다양한 효과가 입증됨에 따라 국토교통부는 공원 설계시 CPTED를 도입하는 '도시공원 및 녹지 등에 관한 법률 시행규칙'을 시행했다. 그러나 이를 공원에 적용하고 지속적인 유지관리를 하기 위한 체계가 정립되어 있지 않다. 이에 본 연구는 근린공원의 CPTED 평가를 위한 지표를 도출하고 전문가 검증을 통해 지표별로 가중치를 부여한다. 이후 이를 기준으로 부산시에 위치한 근린공원을 CPTED 도입정도에 따라 유형별로 나눠 각각의 안전성을 평가하는 것을 목적으로 한다. 물리적 요소는 설계단계부터 CPTED가 도입된 공원의 점수가 현저히 높았고, 사회적 요소의 경우 각 공원별 특성에 따라 다른 결과들이 도출되었다.

• 한국산학기술학회논문지
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• 제15권4호
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• pp.2443-2449
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• 2014

최근 네트워크 RTK사용자 수의 증대에 따라 기존의 VRS(Virtual Reference station)서비스의 접속대기시간이 길어져 측량소요시간이 길어지는 등의 불편함을 초래하고 있다. 국토지리정보원에서는 이러한 불편함을 해소하고자 단방향통신의 FKP(Flachen-Korrektur Parameter)기법을 개발하여 서비스하고 있으나 현장에서의 정확도에 대한 신뢰성 문제로 파급속도가 늦어지고 있다. 본 연구에서는 신뢰성검증을 위해 8점의 통합기준점을 검사점으로 하여 VRS와 FKP기법으로 측량한 결과를 다양하게 비교, 분석하였다. 결과분석에서 VRS기법에 비해 FKP기법에 의한 표준편차가 ${\pm}0.02m$로 약2배였으나 평균오차 X:-0.025m, Y:0.011m를 얻음으로써 현장실용성을 검증할 수 있었으며 현장에서의 FKP측량의 활용확대가 기대된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권2호
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• pp.634-645
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• 2014

VoIP (Voice over Internet Protocol) is a technology of transmitting and receiving voice and data over the Internet network. As the telecommunication industry is moving toward All-IP environment with growth of broadband Internet, the technology is becoming more important. Although the early VoIP services failed to gain popularity because of problems such as low QoS (Quality of Service) and inability to receive calls as the phone number could not be assigned, they are currently established as the alternative service to the conventional wired telephone due to low costs and active marketing by carriers. However, VoIP is vulnerable to eavesdropping and DDoS (Distributed Denial of Service) attack due to its nature of using the Internet. To counter the VoIP security threats efficiently, it is necessary to develop the criterion or the model for estimating the information security level of VoIP service providers. In this study, we developed reasonable security indicators through questionnaire study and statistical approach. To achieve this, we made use of 50 items from VoIP security checklists and verified the suitability and validity of the assessed items through Multiple Regression Analysis (MRA) using SPSS 18.0. As a result, we drew 23 indicators and calculate the weight of each indicators using Analytic Hierarchy Process (AHP). The proposed indicators in this study will provide feasible and reliable data to the individual and enterprise VoIP users as well as the reference data for VoIP service providers to establish the information security policy.

• 대한영양사협회학술지
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• 제8권1호
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• pp.9-18
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• 2002

This study was reviewed databases and outcomes of national/international off-line and on-line(Internet) nutrition softwares to identify the present conditions of nutrition softwares, and investigated user's needs and determine which component should be included in nutrition software. The most frequently used databases for the national programs were the food composition table provided from the National Rural Living Science Institution in Rural Development Administration and the food composition table and the nutrient contents of foods provided from the Korean Nutrition Society. For international programs, the food composition table from the USDA was commonly used. The analysed outcomes included the degree of obesity, nutrient analysis and nutrient intake compared with RDA, food intake from each by food group, food habits and the frequency of food consumption. As to the result of needs assessment for the Internet nutrition softwares, it was suggested that the needs of the Internet nutrition softwares were high because most of the respondents replied that 3-point('it is needed') or 4-point('it is necessary') on 4-points likert scale. As to the databases, the needs of 'food composition analysis' and 'the suggestion of the Korean RDA' were high. For the basic information for foods, the respondents replied that 'the classification of foods', 'foods codes', 'the amount of ingredients' and 'nutrient analysis' should be included. The needs of 'nutrient analysis of meal', 'diet therapy' and 'meal plan by caloric requirements' were high. As for utilizing the Internet meal planning programs, the respondents replied that 'it should be easy to use' most and demand for 'data saving and the saved data should be usable later' and 'meal planning education tools' were high. In conclusion, the Internet nutrition software that satisfies various needs of users should be developed for policy making that promote public health, nutritional care and self-supporting of foods.

• Asian Pacific Journal of Cancer Prevention
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• 제14권6호
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• pp.3865-3869
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• 2013

Background: Cigarette per day (CPD) use is a key smoking behaviour indicator. It reflects smoking intensity which is directly proportional to the occurrence of tobacco induced cancers. Self reported CPD assessment in surveys may suffer from digit bias and under reporting. Estimates from such surveys could influence the policy decision for tobacco control efforts. In this context, this study aimed at identifying underlying factors of digit bias and its implications for Global Adult Tobacco Surveillance. Materials or Methods: Daily manufactured cigarette users CPD frequencies from Global Adult Tobacco Survey (GATS) - India data were analyzed. Adapted Whipple Index was estimated to assess digit bias and data quality of reported CPD frequency. Digit bias was quantified by considering reporting of '0' or '5' as the terminal digits in the CPD frequency. The factors influencing it were identified by bivariate and logistic regression analysis. Results: The mean and mode of CPD frequency was 6.7 and 10 respectively. Around 14.5%, 15.1% and 15.2% of daily smokers had reported their CPD frequency as 2, 5 and 10 respectively. Modified Whipple index was estimated to be 226.3 indicating poor data quality. Digit bias was observed in 38% of the daily smokers. Heavy smoking, urban residence, North, South, North- East region of India, less than primary, secondary or higher educated and fourth asset index quintile group were significantly associated with digit bias. Discussion: The present study highlighted poor quality of CPD frequency data in the GATS-India survey and need for its improvement. Modeling of digit preference and smoothing of the CPD frequency data is required to improve quality of data. Marketing of 10 cigarette sticks per pack may influence CPD frequency reporting, but this needs further examination. Exploring alternative methods to reduce digit bias in cross sectional surveys should be given priority.

• 한국농공학회논문집
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• 제58권4호
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• pp.67-74
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• 2016

Load Duration Curve (LDC) can be used as a method for load management of point and non-point pollution source because the LDC easily assesses the water quality corresponding to hydrological changes in a watershed. Recently, the application of LDC to total pollution load management is a growing interest in Korea. In this regard, A desktop-based LDC assessment system was developed in this study to provide convenience to users in water quality evaluation. The developed system can simply produce the LDC by using streamflow and water quality data involved in its database. Also, The system can quantitatively inform the success or failure of the achievement for a target water quality at monthly scale. Furthermore, seasonal water quality and point/non-point pollution load in a watershed can be estimated by this system. We expect that the developed system will contribute to establish local and national policies regarding water management and total pollution load management because of its advantages such as the pollution tracking investigation and the analysis of water quality and pollution loading amount in an ungauged watershed.

• Genomics & Informatics
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• 제10권1호
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• pp.33-39
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• 2012

High-throughput genomic technologies (HGTs), including next-generation DNA sequencing (NGS), microarray, and serial analysis of gene expression (SAGE), have become effective experimental tools for cancer genomics to identify cancer-associated somatic genomic alterations and genes. The main hurdle in cancer genomics is to identify the real causative mutations or genes out of many candidates from an HGT-based cancer genomic analysis. One useful approach is to refer to known cancer genes and associated information. The list of known cancer genes can be used to determine candidates of cancer driver mutations, while cancer gene-related information, including gene expression, protein-protein interaction, and pathways, can be useful for scoring novel candidates. Some cancer gene or mutation databases exist for this purpose, but few specialized tools exist for an automated analysis of a long gene list from an HGT-based cancer genomic analysis. This report presents a new web-accessible bioinformatic tool, called CaGe, a cancer genome annotation system for the assessment of candidates of cancer genes from HGT-based cancer genomics. The tool provides users with information on cancer-related genes, mutations, pathways, and associated annotations through annotation and browsing functions. With this tool, researchers can classify their candidate genes from cancer genome studies into either previously reported or novel categories of cancer genes and gain insight into underlying carcinogenic mechanisms through a pathway analysis. We show the usefulness of CaGe by assessing its performance in annotating somatic mutations from a published small cell lung cancer study.

• 지식경영연구
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• 제21권1호
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• pp.197-210
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• 2020

The smart speaker includes an AI assistant function in the existing portable speaker, which enables a person to give various commands using a voice and provides various offline services associated with control of a connected device. The speed of domestic distribution is also increasing, and the functions and linked services available through smart speakers are expanding to shopping and food orders. Through text mining-based customer review analysis, there have been many proposals for identifying the impact on customer attitudes, sentiment analysis, and product evaluation of product functions and attributes. Emotional investigation has been performed by extracting words corresponding to characteristics or features from product reviews and analyzing the impact on assessment. After obtaining the topic from the review, the effect on the evaluation was analyzed. And the market competition of similar products was visualized. Also, a study was conducted to analyze the reviews of smart speaker users through text mining and to identify the main attributes, emotional sensitivity analysis, and the effects of artificial intelligence attributes on product satisfaction. The purpose of this study is to collect blog posts about the user's experiences of smart speakers released in Korea and to analyze the attitudes of customers according to their attributes. Through this, customers' attitudes can be identified and visualized by each smart speaker product, and the positioning map of the product was derived based on customer recognition of smart speaker products by collecting the information identified by each property.