• 무역상무연구
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• 제67권
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• pp.209-231
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• 2015

The accurate national trade statistics can show the real nation's trade situation, and contribute to setting up the national's trade plans and corporate's strategies. This study researches the differences between trade statistics and actual trade record among the national and international statistics and suggests improvement plans to solve the problems. There are 4 types' differences among the trade statistics as follows; First, a statistical differences between Korea Customs Service and Bank of Korea by yearly US$9.6billions because of standard and boundary of trade statistics. Second, a statistical differences between Ministry of Trade, Industry and Energy and Korea Customs Service because of the time and purpose of trade statistics release. Third, a statistical differences between Korea and counterpart countries because of standard of trade statistics, intermediate countries and rules of origin. Lastly, a statistical differences between nation's statistics and corporate record because of typing errors and indirect export record. The fundamental improvement plans are Korea statistics rules like Korea Foreign Trade Rules and Korea Custom Rules, need to coincide with the international rules like IMTS, MSITS, BPM6 etc. Especially the rules of statistics related to intermediary trade, processing trade and transit trade have to revise with new BPM6 rules. In addition, a reasonable care of trade statistics from accumulation to utilization of trade information is more important than statistical regulation or system, so all persons concerned including exporters, importers, government official pay attention the statistics and cooperate together.

• Spatial Information Research
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• 제9권2호
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• pp.239-261
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• 2001

우리 나라 국가지정통계자료는 대부분 행정구역을 기초단위로 하는 지리/지역정보로서 계량적 지역분석기법을 통해서 그 가치가 더해진다. 본 연구는 지역분석을 위한 통계정보 및 통계지도 서비스 시스템의 한 선도적 모델을 제시하는데 그 목적을 둔다. 본 연구에서는 서울시를 사례로 하여 인구주택 총조사 및 사업체기초통계 원시자료 등을 재 집계하여 지역통계 데이터베이스를 구축하였다. 통계GIS의 핵심 지역분석모듈은 사회경제 자료분석에서 활용의 빈도가 높은 지역구조 및 격차 분석, 공간 분산분석, 상관분석, 회귀 및 잔차분석, 공간적 자기상관분석 등으로 구성되었다. 시스템 설계는 지역통계 데이터베이스와 지역분석기법 모듈, 그리고 통계지고를 웹 환경에서 통합하기 위해 어플리케이션 서버를 포함한 다양한 정보기반기술을 채택하여 이루어졌다. 지역분석을 위한 입출력 과정에서 대화형 통계지도가 사용된다. 본 연구를 통해 제안된 통계 GIS의 특징은 미리 저장된 데이터와 분석기능이 사용자와의 양방향 웹 인터페이스를 통해 제한 없이 확장될 수 있다는 점이다. 사용자의 요구에 따라 분석변수의 자유로운 변형과 합성이 연산자 구문해석기를 통해 가능하고, 이를 바탕으로 새로운 지역분석 알고리즘의 구현이 실시간으로 가능하다. 또한 데이터 측면에서는 사용자가 업로드한 자료를 잠정적으로 시스템에 통합하여 확장된 가상 데이터베이스를 만들고 이에 대해 여러 분석을 수행할 수 있다. 웹 기반 통계GIS 모델의 초기평가를 통해 각종 지역통해자료로부터 주문형 통계지도의 작성과 유통이 동시에 가능함이 확인되었다.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2004년도 춘계학술대회
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• pp.225-236
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• 2004

Every web server comprises a repository of all actions and events that occur on the server. Server logs can be used to quantify user traffic. Intelligent analysis of this data provides a statistical baseline that can be used to determine server load, failed requests and other events that throw light on site usage patterns. This information provides valuable leads on marketing and site management activities. In this paper, we propose a method of design for log analysis system using RTMA(realtime monitoring and analysis) technique.

• 한국측량학회지
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• 제35권5호
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• pp.357-364
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• 2017

The purpose of the study is to develop and validate landslide susceptibility map of Bhotang village development committee, Nepal using FR (Frequency Ration) and SI (Statistical Index) methods. For the purpose, firstly, a landslide inventory map was constructed based on mainly high resolution satellite images available in Google Earth Pro, and rest fieldwork as verification. Secondly, ten conditioning factors of landslide occurrence, namely: altitude, slope, aspect, mean topographic wetness index, landcover, normalized difference vegetation index, dominant soil, distance to river, distance to lineaments and rainfall, were derived and used for the development of landslide susceptibility map in GIS (Geographic Information System) environment. The landslide inventory of total 116 landslides was divided randomly such that 70% were used for training and remaining 30% for validating result by receiver operating characteristics curve analysis. The area under the curve were found to be greater than 0.7 indicating an acceptable susceptibility maps obtained using FR and SI methods in GIS for hilly region of Nepal.

• Journal of Biosystems Engineering
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• 제42권1호
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• pp.23-43
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• 2017

Purpose: As application-specific wireless sensor networks are gaining popularity, this paper discusses the development and field performance of the GHAN, a greenhouse area network system to monitor, control, and access greenhouse microenvironments. GHAN, which is an upgraded system, has many new functions. It is an intelligent wireless sensor and actuator network (WSAN) system for next-generation greenhouses, which enhances the state of the art of greenhouse automation systems and helps growers by providing them valuable information not available otherwise. Apart from providing online spatial and temporal monitoring of the greenhouse microclimate, GHAN has a modified vapor pressure deficit (VPD) fuzzy controller with an adaptive-selective mechanism that provides better control of the greenhouse crop VPD with energy optimization. Using the latest soil-matrix potential sensors, the GHAN system also ascertains when, where, and how much to irrigate and spatially manages the irrigation schedule within the greenhouse grids. Further, given the need to understand the microclimate control dynamics of a greenhouse during the crop season or a specific time, a statistical assessment tool to estimate the degree of optimality and spatial variability is proposed and implemented. Methods: Apart from the development work, the system was field-tested in a commercial greenhouse situated in the region of Punjab, India, under different outside weather conditions for a long period of time. Conclusions: Day results of the greenhouse microclimate control dynamics were recorded and analyzed, and they proved the successful operation of the system in keeping the greenhouse climate optimal and uniform most of the time, with high control performance.

• 산업경영시스템학회지
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• 제32권4호
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• pp.25-37
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• 2009

This Study constructs a dashboard system to synthetically and systematically monitor national R&D information based on data warehouse. Managing the national R&D statistics and trend is important since it provides data for policies and decision making for national R&D. Many agencies related to national R&D information collect the basic R&D statistic data which provides the basis of logical decision making and R&D policies. The data has not well been used. The data has not been consistently collected nor managed. The raw data has not been organized nor processed to meet various demands. The needs has been arisen for a consistent national R&D monitoring system to increase the relevance, accessibility and efficiency of data for various users. This study selects 25 key indicators based on the user requirements and designs data warehouse for supporting the indicators using star schema. The dashboard system is developed in this study provides the infrastructure of monitoring national R&D information and analytic environment of supporting statistical analysis and time-series data analysis.

• Journal of the Korean Data and Information Science Society
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• 제14권4호
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• pp.1083-1090
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• 2003

Web-based learning is currently an active area of research and a considerable number of studies have been conducted on its application in the learning environment. However, in spite of many advances in the research and development of the educational contents, questions about how the environment affects learning remains largely unanswered. In this article, we propose a Web-based learning environment to improve the educational effect. The goal of this article is not to provide a complete system to support Web-based learning but rather to describe some meaningful strategies and fundamental design concepts that utilize information technologies to support teaching and learning.

• Communications for Statistical Applications and Methods
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• 제5권1호
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• pp.1-18
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• 1998

Since 1960s, in which the computer graphics system first appeared, various graphical techniques have been introduced for regression diagnostics and they have been remarkably developed. In particular, animation, one of the dynamic graphical methods which Cook and Weisberg (1989) proposed helps to show the effect of adding variables or observations to a model, or removing them from a model on the regression results. We present the added variable plots (AVP) with animation, which can be used as an optical tool of understanding the affect of some variables or observations on other variables, and the detrended added-variable plots (DAVP) with animation, through which it is possible to find out whether specific variables or observations have an effect on the nonlinearity of other variables or not.

• 대한안전경영과학회지
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• 제14권2호
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• pp.103-112
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• 2012

The construction industry in Korea after the Korean-war has evolved until these days. But the construction industry accident severity rate and frequency is over then the All industry rate. This study analyzed the 'Disaster Statistical Yearbook' of the Korea Occupational Safety and Health Agency, based on the factors that affect construction accidents that is selected and fined the some factors the construction Disaster Prevention Factors. This study will develop the methodology for analyzes that the national qualification is effected to the construction industrial machine disaster prevention status. It suggest two ways to the establishment of disaster trends. First way is the disaster quantitative analysis and second way is comparing the statistical data and the analysis of expert opinion.

• Ocean Systems Engineering
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• 제5권1호
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• pp.41-54
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• 2015

This study presents the development of predictive models for uplift capacity of suction caisson in clay using an artificial intelligence technique, extreme learning machine (ELM). Other artificial intelligence models like artificial neural network (ANN), support vector machine (SVM), relevance vector machine (RVM) models are also developed to compare the ELM model with above models and available numerical models in terms of different statistical criteria. A ranking system is presented to evaluate present models in identifying the 'best' model. Sensitivity analyses are made to identify important inputs contributing to the developed models.