• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권8호
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• pp.3656-3671
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• 2016

Most of the research in the area of wireless communications exclusively relies on simulations. Further, it is essential that the mobility management strategies and routing protocols should be validated under realistic conditions. Most appropriate mobility models play a pivotal role to determine, whether there is any subtle error or flaw in a proposed model. Simulators are the standard tool to evaluate the performance of mobility models however sometimes they suffer from numerous documented problems. To accomplish the widely acknowledged lack of formalization in this domain, a Coloured Petri nets (CPNs) based random direction mobility model for specification, analysis and validation is presented in this paper for wireless communications. The proposed model does not suffer from any border effect or speed decay issues. It is important to mention that capturing the mobility patterns through CPN is challenging task in this type of the research. Further, an appropriate formalism of CPNs supported to analyze the future system dynamic status. Finally the formal model is evaluated with the state space analysis to show how predefined behavioral properties can be applied. In addition, proposed model is evaluated based on generated simulations to track origins of errors during debugging.

• 한국도서관정보학회지
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• 제49권3호
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• pp.331-359
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• 2018

이 연구의 목적은 Big6 모델과 Big6 수정 모델을 분석하여 Big6 모델의 특징을 찾고 현장에서 Big6 모델을 적용하는데 필요한 시사점을 도출하는 데 있다. 이를 위하여 AASL과 ACRL의 정보 리터러시 기준과 Big6 모델을 비교하였으며, 교육목표분류학에 영향을 받은 Big6 모델과 Big6+3 모델, Big8 모델 및 LG사이언스랜드에서 제공하는 Big6 모델을 분석하였다. 분석결과, Big6 모델은 정보 문제 해결 모델과 메타인지 활성화 전략 및 학생들의 정보 리터러시를 향상시키는 발판으로 활용이 가능하였으며 구성주의, 탐구기반 학습, 교육과정 통합, 협력교육, ICT기술 모델로 활용이 가능하였다. 비판적 사고능력 향상은 Big6 모델보다 사서교사나 사서의 Big6 모델의 적용방법과 관련이 있었다. 사서교사와 사서는 Big6 모델을 적용하기 위하여 교육과정을 체계적이고 구체적으로 계획할 필요가 있다.

• 정보기술과데이타베이스저널
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• 제3권2호
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• pp.75-96
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• 1996

This study is intended to compare the effectiveness of the neural network inductive learning model with a vector space model in information retrieval. As a result, searches responding to incomplete queries in the neural network inductive learning model produced a higher precision and recall as compared with searches responding to complete queries in the vector space model. The results show that the hybrid methodology of integrating an inductive learning technique with the neural network model can help solve information retrieval problems that are the results of inconsistent indexing and incomplete queries--problems that have plagued information retrieval effectiveness.

• Journal of the Korean Data and Information Science Society
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• 제17권1호
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• pp.123-130
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• 2006

This paper discusses about how to build up a mixed-effects model using cumulative logits when some factors are fixed and others are random. Location effects are considered as random effects by choosing them randomly from a population of locations. Estimation procedure for the unknown parameters in a suggested model is also discussed by an illustrated example.

• Journal of the Korean Data and Information Science Society
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• 제17권3호
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• pp.983-990
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• 2006

In this paper, we study an asymmetric power fractionally integrated GARCH model and find a region on which the process is stationary ergodic and has long memory property.

• Journal of the Korean Data and Information Science Society
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• 제23권4호
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• pp.815-823
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• 2012

In this paper reliability growth model in which the operating time between successive failure is a continuous random variable is proposed. This model is for Burr type XII distribution with two parameters which is discussed in two versions: the order statistics and non-homogeneous Poisson process. The two software reliability measures are obtained. The performance for two versions of the suggested model is tested on real data set by U-plot and Y-plot using Kolmogorov distance.

• Journal of the Korean Data and Information Science Society
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• 제18권1호
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• pp.237-245
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• 2007

Nonlinear asymmetric time series models have the growing interest in econometrics and finance. Threshold model is one of the successful asymmetric model. We consider a smooth transition ARMA model which converges a.s. to a threshold ARMA model and show that the smooth transition ARMA model admits a stationary measure, provided a suitable condition on the coefficients of the autoregressive parts of the different regimes is satisfied. Stationarity of a smooth transition GARCH model is also obtained.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권5호
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• pp.1414-1430
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• 2022

Due to the Internet of Things popularity, many agricultural data are collected by sensors automatically. The abundance of agricultural data makes precise prediction of rice yield possible. Because the climate factors have an essential effect on the rice yield, we considered the climate factors in the prediction model. Accordingly, this paper proposes a machine learning model for rice yield prediction in Taiwan, including the genetic algorithm and support vector regression model. The dataset of this study includes the meteorological data from the Central Weather Bureau and rice yield of Taiwan from 2003 to 2019. The experimental results show the performance of the proposed model is nearly 30% better than MARS, RF, ANN, and SVR models. The most important climate factors affecting the rice yield are the total sunshine hours, the number of rainfall days, and the temperature.The proposed model also offers three advantages: (a) the proposed model can be used in different geographical regions with high prediction accuracies; (b) the proposed model has a high explanatory ability because it could select the important climate factors which affect rice yield; (c) the proposed model is more suitable for predicting rice yield because it provides higher reliability and stability for predicting. The proposed model can assist the government in making sustainable agricultural policies.

• Journal of Information Science Theory and Practice
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• 제1권3호
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• pp.12-32
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• 2013

The paper introduces the research area of interactive information retrieval (IIR) from a historical point of view. Further, the focus here is on evaluation, because much research in IR deals with IR evaluation methodology due to the core research interest in IR performance, system interaction and satisfaction with retrieved information. In order to position IIR evaluation, the Cranfield model and the series of tests that led to the Cranfield model are outlined. Three iconic user-oriented studies and projects that all have contributed to how IIR is perceived and understood today are presented: The MEDLARS test, the Book House fiction retrieval system, and the OKAPI project. On this basis the call for alternative IIR evaluation approaches motivated by the three revolutions (the cognitive, the relevance, and the interactive revolutions) put forward by Robertson & Hancock-Beaulieu (1992) is presented. As a response to this call the 'IIR evaluation model' by Borlund (e.g., 2003a) is introduced. The objective of the IIR evaluation model is to facilitate IIR evaluation as close as possible to actual information searching and IR processes, though still in a relatively controlled evaluation environment, in which the test instrument of a simulated work task situation plays a central part.

• 한국비블리아학회지
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• 제27권1호
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• pp.217-235
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• 2016

21세기에 들어서 인문학계와 과학계가 서로 융합되며 새로운 이론과 모델들이 창출되고 있다. 그 중에서도 여러 제반분야에서 관심을 받는 이론이 체화된(embodied) 인지이론이다. 본 연구는 이때까지의 정보학 이용자 행태에 대한 메타이론을 간략하게 살피고, 그 한계를 짚어 본다. 다음으로 이러한 체화된 인지이론과 더불어 정보행위의 주체인 인간이 속하는 생명체에 관한 엔트로피 개념을 도입해 새로운 시대의 흐름에 맞는 생명 패러다임 정보행태모델을 제시하고자 한다. 검색이라는 개념과 이용자의 행위에 대한 개별적인 접근의 한계를 극복하고 통합적 패러다임으로서의 새로운 정보검색이론의 담론을 기대한다.