• ETRI Journal
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• 제29권5호
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• pp.607-613
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• 2007

Most signal-to-noise ratio (SNR) estimation techniques in digital communication channels derive the SNR estimates solely from samples of the received signal after the matched filter. They are based on symbol SNR and assume perfect synchronization and intersymbol interference (ISI)-free symbols. In severe channel distortion where ISI is significant, the performance of these estimators badly deteriorates. We propose an SNR estimator which can operate on data samples collected at the front-end of a receiver or at the input to the decision device. This will relax the restrictions over channel distortions and help extend the application of SNR estimators beyond system monitoring. The proposed estimator uses the characteristics of the second order moments of the additive white Gaussian noise digital communication channel and a linear predictor based on the modified-covariance algorithm in estimating the SNR value. The performance of the proposed technique is investigated and compared with other in-service SNR estimators in digital communication channels. The simulated performance is also compared to the Cram$\acute{e}$r-Rao bound as derived at the input of the decision circuit.

• Journal of Information Processing Systems
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• 제8권2호
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• pp.191-212
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• 2012

Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary; estimating a user's interests typically involves non-stationary distributions. The consequent time varying nature of the distribution to be tracked imposes stringent constraints on the "unlearning" capabilities of the estimator used. Therefore, resorting to strong estimators that converge with a probability of 1 is inefficient since they rely on the assumption that the distribution of the user's preferences is stationary. In this vein, we propose to use a family of stochastic-learning based Weak estimators for learning and tracking a user's time varying interests. Experimental results demonstrate that our proposed paradigm outperforms some of the traditional legacy approaches that represent the state-of-the-art technology.

• Journal of the Korean Data and Information Science Society
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• 제11권1호
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• pp.111-126
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• 2000

지방자치제 실시에 따라 우리나라에서도 전국 또는 도 단위의 통계뿐만 아니라 시 군 구 등의 소지역 통계에 대한 수요가 증대되고 있다. 하지만 정부통계 생산을 위해 실시되는 표본조사의 경우 시(특별시, 광역시) 및 도별 통계생산을 목적으로 하기 때문에 신뢰성 있는 소지역 통계를 산출하는 것이 불가능하고, 따라서 이런 소지역 통계생산을 위해 간접 추정 기법을 적극적으로 활용하는 것이 필요하다. 본 논문에서는 정부통계 생산을 위한 소지역 통계 기법의 도입 및 활용 가능성을 검토해 보기 위해 인천광역시 숙박 및 음식점업의 총매출에 대한 구별 소지역 통계를 산출할 수 있는 여러 가지 간접 추정 방법을 제시하고, 아울러 도소매업 총조사 자료를 이용하여 제시된 간접추정량들의 효율성을 비교 분석해 보고자 한다.

• Journal of the Korean Data and Information Science Society
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• 제18권4호
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• pp.1045-1056
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• 2007

We consider M/M/1 feedback queues with multi-class customers. We assume that different classes of customers have different arrival rates, service rates and feedback probabilities. Using the h-transforms of McDonald(999) we derive an importance sampling estimator for an overflow probability that the total number of customers in the system reaches a high level before emptying.

• Communications for Statistical Applications and Methods
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• 제25권4호
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• pp.355-371
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• 2018

The two parameter negative exponential distribution has many practical applications in queuing theory such as the service times of agents in system, the time it takes before your next telephone call, the time until a radioactive practical decays, the distance between mutations on a DNA strand, and the extreme values of annual snowfall or rainfall; consequently, has many applications in reliability systems. This paper considers an estimation problem of stress-strength model with two parameter negative parameter exponential distribution. We introduce a maximum penalized likelihood method, Bayes estimator using Lindley approximation to estimate stress-strength model and compare the proposed estimators with regular maximum likelihood estimator for complete data. We also introduce a maximum penalized likelihood method, Bayes estimator using a Markov chain Mote Carlo technique for incomplete data. A Monte Carlo simulation study is performed to compare stress-strength model estimates. Real data is used as a practical application of the proposed model.

• International journal of advanced smart convergence
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• 제3권2호
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• pp.14-17
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• 2014

Precision agriculture relies on information technology, whose precondition is providing real-time and accurate information. It depends on various kinds of advanced sensors, such as environmental temperature and humidity, wind speed, light intensity, and other types of sensors. Currently, it is a hot topic how to collect accurate information, the main raw data for agricultural experts, monitored by these sensors timely. Most existing work in WSNs addresses their fundamental challenges, including power supply, limited memory, processing power and communication bandwidth and focuses entirely on their operating system and networking protocol design and implementation. However, it is not easy to find the self-localization capability of wireless sensor networks. Because of constraints on the cost and size of sensors, energy consumption, implementation environment and the deployment of sensors, most sensors do not know their locations. This paper provides maximum likelihood estimators for sensor location estimation when observations are time-of arrival (TOA) range measurement.

• 유통과학연구
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• 제11권4호
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• pp.81-88
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• 2013

Purpose - This paper analyzes the influence of the RMB internationalization on the KRW/dollar exchange rate using an autoregressive distributed lag model. Comparing the parameter estimators from the sample period before and after the global financial crisis, we found that the RMB/dollar exchange rate has increasingly become more influential on the KRW/dollar exchange rate. Moreover, for the past several years, the Chinese government has actively utilized the financial service FTA negotiation as a measure for the RMB internationalization. This paper simultaneously considers RMB internationalization and financial service negotiations in the Korean-Chinese FTA. The purpose of this paper is to explicitly suggest a direction for the financial service negotiations in the Korean-Chinese FTA considering the effects of RMB internationalization. Research design, data, and methodology - The research plan of this paper has two parts. First, for an empirical study, this paper uses the daily exchange rate of the U.S. dollar against the currencies of the ASEAN5, Taiwan,and Korea. By using an autoregressive distributed lag model, this paper studies the influence of the change in the RMB/dollar exchange rate on changes in the local currency/dollar exchange rate in seven economies neighboring China. Our sample periods are 06/2005 - 07/2008 and 06/2010 -02/2013. During these periods, China was under the multi-currency basket system. We exempted the period of 08/2008 - 05/2010 from the analysis because there was nearly no RMB/dollar exchange rate fluctuation during those months. Second, after analyzing the recent financial service liberalizations and deregulations in China, we recommend a direction for the financial service negotiations in the Korean-Chinese FTA. In the past several years,the main Chinese financial policy agenda has surrounded the RMB internationalization. Therefore, it is crucial to understand this in the search for strategies for the financial service negotiations in the Korean-Chinese FTA. This paper employs an existing literature survey and examines the FTA protocols in its research methodology. Results and Conclusions - After the global financial crisis, the Chinese government wanted to break away from the dollar influence and pursued independent RMB internationalization in order to continue the growth and stability of its economy. Hence, every neighboring economy of China has been strategically impacted by RMB internationalization. Nevertheless, there is little empirical study on the influence of RMB internationalization on the KRW/dollar exchange rate. This paper is one of the few studies to analyze this problem comprehensively. By using a relatively simple estimation model, we can confirm that the coefficient of the RMB/dollar exchange rate has become more significant, except in the case of Indonesia. Although Korea is not under the multi-currency basket system but under the weakly controlled floating exchange rate system, its coefficient appears as large as that of the ASEAN5. This is the basis of the currency cooperation that has grown from the expansion of trade between the two countries. These empirical results suggest that the Korean government should specifically consider the RMB internationalization in the Korean-Chinese FTA negotiations.

• 한국시뮬레이션학회논문지
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• 제21권3호
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• pp.71-78
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• 2012

본 연구는 대기행렬 네트워크 시뮬레이션에서 통제변수를 활용하여 목표 반응변수를 보다 더 정확히 추정하는 기법을 탐색한다. 반응변수 추정에서 통제변수기법의 효율성은 반응변수와 높은 상관관계를 가지는 통제변수의 선택과 선택된 통제변수를 이용하여 통제추정량을 어떻게 정의하는가에 따라 달라진다. 대기행렬 네트워크 시뮬레이션 모형에서 확률적 모형의 발전과정은 확률적 서비스시간과 분지 확률에 의하여 재현된다. 대부분의 통제변수기법은 통제추정치 구성에서 서비스 시간 확률변수를 사용한다. 본 연구는 서비스 시간 확률변수와 분지 확률변수를 동시에 사용하는 통제 추정량을 제안하고 이를 컴퓨터 네트워크 시스템의 관심 반응변수 추정에 응용하여 그 효율성을 탐색하고자 한다. 시뮬레이션 결과는 반응변수 추정에 있어서 분지확률 통제변수의 활용 가능성을 제시하고 있으며, 서비스-시간과 분지확률을 동시에 이용하는 결합 통제변수의 활용은 향후 연구가 필요한 분야로 판단된다.

• 한국정보통신학회논문지
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• 제15권11호
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• pp.2426-2432
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• 2011

본 연구에서는 국내 의료기관 웹 사이트를 대상으로 사용성 평가를 실시하고 그 결과를 분석하였다. 의료기관을 대학병원, 종합병원, 병원 그룹으로 나누고 각 그룹에서 4개씩 총 12개 병원을 선정하여 평가하였으며, 사용성 평가를 위해 평가 전 설문지, 태스크 수행 평가, 평가 후 설문지 그리고 평가자 인터뷰를 실시하였다. 태스크 수행 평가 결과를 살펴보면, 대학병원은 다른 그룹과 비교해 볼 때 비교적 사용성을 고려하여 설계되었으나 방대한 정보로 인한 복잡한 화면 구성과 모호한 인터페이스는 사용자에게 불편을 주는 요인으로 나타났으며, 보다 나은 사용성을 위해 사용빈도가 높은 주요 웹 서비스의 절차를 단순화하는 작업이 필요하다고 판단된다. 병원의 경우 태스크 수행과 관련된 서비스가 체계적이지 못하거나 서비스 자체가 제공되지 않는 경우도 있어 개선이 필요하였다.

• 한국안전학회지
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• 제20권2호
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• pp.119-126
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• 2005

Load bearing structural members in a wide variety of applications accumulate damage over their service life. From a standpoint of both safety and performance, it is desirable to monitor the occurrence, location, and extent of such damage. Structures require complicated element models with a number of degrees of freedom in structural analysis. During experiment much effort and cost is needed for measuring structural parameters. The sparseness and errors of measured data have to be considered during the parameter estimation Of Structures. In this paper we introduces damage identification algorithm by a system identification(S.I) using static and dynamic response. To study the behaviour of the estimators in noisy environment Using Monte Carlo simulation and a data measured perturbation scheme is adopted to investigate the influence of measurement errors on identification results. The assessment result by static and dynamic response were compared, and the efficiency and applicabilities of the proposed algorithm are demonstrated through simulated static and dynamic responses of a truss bridge. The assessment results by each method were compared and we could observe that the 5.1 method is superior to the other conventional methods.