• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.33-35
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• 2000

본 논문에서는 워크플로우 모델링 도구인 ICN(Information Control Net)모델을 기반으로 하는 워크플로우 제어 의존성 분석 메커니즘을 제안하였다. 즉, ICN 모델로 정의된 워크플로우의 각 액티버티들 간에 존재하는 제어 의존 관계를 표현하기 위한 제어 의존 넷(Control Dependency Net)을 정형적인 방법으로 정의하였고, ICN 모델로부터 제어 의존 넷을 생성하는 알고리즘을 정의하였다. 본 논문에서 제안한 워크플로우 제어 의존성 분석 메커니즘은 워크플로우 빌드타임(Build-time)측면과 워크플로우 런타임(Run-time)측면에서 중요한 의미를 갖는다. 전자의 측면에서는 워크플로우의 복잡성이 증가함에 따라 더욱 요구되고 있는 워크플로우의 시멘틱 에러 테스팅 기능에 효과적으로 적용될 수 있으며, 후자의 측면에서는 워크플로우의 성공적인 적용을 위해 필수적으로 요구되는 제어 흐름의 동적 변경(Dynamic Change)지원 기능의 완결성을 향상시키는데 효과적으로 활용될 수 있다.

• Nuclear Engineering and Technology
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• v.55 no.3
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• pp.1084-1096
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• 2023

On-the-fly(OTF) generation of Spectral Superhomogenization(SSPH) factors is analyzed in the multigroup(MG) whole core calculation employing pin-wise continuous energy(CE) slowing-down solutions. The motivation for the work is to avoid the huge computing time required for the generation of a parametrized SSPH factor library(PSSL) which is used to resolve the angular dependency of MG resonance cross sections, and also to exploit the advantage of flexible choice of a MG structure by using CE slowing-down solutions. Two pin-wise CE slowing-down methods, the equivalent Dancoff cell method and the shadowing effect correction method, are evaluated with the OTF SSPH method. The effectiveness of the OTF SSPH method is examined for various simplified and realistic core problems with various MG structures. It is demonstrated that the computing time overhead of this method is negligible whereas the solution accuracy is considerably enhanced.

• Proceedings of the Korean Ceranic Society Conference
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• 2003.04a
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• pp.212.1-212
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• 2003

• Advances in environmental research
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• v.4 no.2
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• pp.83-104
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• 2015

Air Quality Index (AQI) is a pointer to broadcast short term air quality. This paper presents one day ahead AQI forecasting on seasonal basis for three major cities in Maharashtra State, India by using Artificial Neural Networks (ANN) and Genetic Programming (GP). The meteorological observations & previous AQI from 2005-2008 are used to predict next day's AQI. It was observed that GP captures the phenomenon better than ANN and could also follow the peak values better than ANN. The overall performance of GP seems better as compared to ANN. Stochastic nature of the input parameters and the possibility of auto-correlation might have introduced time lag and subsequent errors in predictions. Spectral Analysis (SA) was used for characterization of the error introduced. Correlational dependency (serial dependency) was calculated for all 24 models prepared on seasonal basis. Particular lags (k) in all the models were removed by differencing the series, that is converting each i'th element of the series into its difference from the (i-k)"th element. New time series is generated for all seasonal models in synchronization with the original time line & evaluated using ANN and GP. The statistical analysis and comparison of GP and ANN models has been done. We have proposed a promising approach of use of GP coupled with SA for real time prediction of seasonal multicity AQI.

• Proceedings of the KSRS Conference
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• v.1
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• pp.196-199
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• 2006

Various communication mechanisms have been developed to acquire a meaningful data from sensors. The key requirement during the sensor data acquisition is determinism and reduction of time dependency. It is a fundermental level of satellite data management for controlling satellite operation software data acquisition from sensors or subsystem. Satellite operation software has various software modules to be operated in addition to data acquisition. Therefore, unnecessary time delay shall be minimized to perform the data acquisition. As the result, interrupt method might be prefered than polling method because the former can decrease the restriction of design during implementation of data acquisition logic. The possible problems while using interrupt method like as interrupt latency caused by delaying of interrupt processing time are analyzed. In this paper, communication mechanism which can be used to interface with satellite computer and subsidary subsystem by using interrupt is presented. As well, time dependency between software scheduling and data acquisition is analyzed.

• Child Health Nursing Research
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• v.21 no.2
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• pp.183-193
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• 2015

Purpose: The purpose of this study was to identify the influence of parental media use, parents' educational needs regarding media use, and parents' media guidance for children on the children's media use. Methods: The participants were 161 parents of elementary school children in the 1st and 4th grades. Data were collected through self-report questionnaires, and analyzed using the SPSS/WIN 19.0 IBM program. Results: The average times for watching television and using the internet in the children were 11.44 hours and 5.89 hours per week, respectively. Children's time watching television was influenced by parents' time watching television, children's gender (girl), and parents' educational needs. Children's television dependency was influenced by parents' educational needs, parents' time watching television, and parents' age (under 36 years). Time using the internet and internet dependency in the children were influenced by parents' educational needs, family monthly income (under 3 million won), and parents' guidance for children on watching television. Conclusion: The findings indicate that elementary school children's media use is influenced by parental media use, parents' educational needs, and parents' media guidance for children. Therefore parental factors should be considered in developing approaches to provide education programs to prevent media overuse in children.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.515-521
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• 2021

The popularity of Islamic financial instruments among Muslims is not surprising. The Islamic capital market is where sharia-compliant financial assets are transacted. It works parallel to the conventional market and helps investors find sharia-compliant investment opportunities. At a time of collective confusion when the COVID-19 epidemic is contributing to unprecedented change, this paper is keen to understand how attractive conventional and Islamic stock markets have been to investors recently. Second, this paper takes advantage of the time-scale decomposition property of the wavelet to simultaneously capture risk exposure and distinguish the risks faced by short- and long-term investors. To this end, this research conducted a two-step investigation of the daily closing equity market price indices for three Islamic stock markets and their conventional counterparts. Given that different financial decisions occur with greater or less frequency, the paper examines the connectedness of stock markets operating at heterogeneous rates and identifies the timescales using wavelet-DCC-GARCH analysis to take account of both the time and the frequency domains of stock market connectedness. The paper findings highlight the strong evidence of contagion that can be seen in nearly all conventional stock markets in the COVID-19 pandemic; they reach a high level of dependency in such health crises. Furthermore, Islamic stock markets prove to be a rich ground for global diversification.

• The Korean Journal of Applied Statistics
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• v.23 no.1
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• pp.49-61
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• 2010

The time series dependencies of Financial volatility are frequently measured by the autocorrelation function of power-transformed absolute returns. It is known as the Taylor property that the autocorrelations of the absolute returns are larger than those of the squared returns. Hass (2009) developed a simple method for detecting the Taylor property in absolute-value-GAROH(1,1) (AVGAROH(1,1)) model. In this article, we fitted AVGAROH(1,1) model for various Korean financial time series and observed the Taylor property.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.280-285
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• 2007

Since the human civilization, people's livelihood is dependent on natural resources primarily on forest. Human dimensions such as population, poverty, agricultural expansion and infrastructure development are some of the underlying factors and their interrelated associations which could play a vital role in deforestation and forest degradation. This process is not only related to the human population but also connected to the various socioeconomic factors. This paper focuses to link the spatio-temporal extent of population, poverty incidence and forest dependency and their severity on Terai forest of Nepal. Secondary data on censuses were used. ArcGIS and descriptive statistics were also used for data analysis. Based on analysis & literature review we concluded that population, poverty and forest dependency have largely expanded over time in Terai and their interrelated associations substantively influence on deforestation. However, the direct relationship of such factors with deforestation and forest degradation found to be incompatible, complex and hard to perceive with fragmented and inconsistency censuses data. So, deforestation and forest degradation issues intertwined with socioeconomic factors need detailed analysis to comprehend where these linkages are still unravel.

• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.59-67
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• 2012

Software change management is focused on the change of a entity like the change of contents of a system or a document. In change management, interactive relationship among requirements and complex decision making is needed to obtain optimized status. In this paper we design a management model of software change management in distributed environment which mange the change among components by time and situation. In addition, each components are defined and use ANP technique for best decision-making by using the subordinate relationship and feedback considering the mutual dependency referring the change of components in distributed environment. Thus, we analyze the dependency among each components and show 3 types of change relationship. Also through analysis of dependency, we verified the effectiveness of such approach.