• 정보기술응용연구
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• 제1권3_4호
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• pp.69-90
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• 1999

본 논문은 시계열자료의 ARMA 모형화를 위해 계층적(Hierarchical) 문제해결 방식인 인공신경망 기초 의상결정트리분류기상의 인공신경망 구조를 개선하여 지역문제(Local Problem)를 해결하는 복수개의 인공신경망 결과를 Dempster's rule of combination을 이용하여 종합하는 병행적인 (Parallel) ARMA 모형활르 위한 방법론을 제시함으로써 의사결정트리분류기에 근거한 방법론의 단점을 보완하였다. 본 논문에서 제시한 ARMA 모형화를 위한 방법론은 세 단계로 구성되어 있다: 1) ESACF 특성 벡터 추출단계; 2) 개별 인공신경망에 의한 부분적 모델링 단계; 3) Conflict Resolution 단계, 제시한 방법론을 검증하기 위해 모의실험용 자료와 실제 시계열자료를 이용하여 제시된 방법론을 검증하였으며 실험결과 기존 연구에 비해 ARMA 모형화와 정확도가 높은 것으로 나타났다.

• 한국인터넷방송통신학회논문지
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• 제15권6호
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• pp.267-273
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• 2015

정보통신계의 발달로 인하여 등장하는 새로운 기술들로 인하여 새로운 개인정보의 형태가 나타나고 있다. 이에 따라, 기존 개인정보들과 결합되어 사용되어지는 개인정보들이 점차 늘어나고 있다. 현행 개인정보보호법에서 정의하는 결합된 정보에 대한 개인정보 위험도를 측정하는 방법은 정성적으로 제시되고 있어, 개인정보 위험도가 평준화되기는 어렵다. 본 논문에서는 기존 연구된 개인정보 위험도 평가 방법을 기반으로 개인정보 중요도와 가중치를 측정한 다음 IPA를 통해 개인정보의 위험도를 분석하는 모델을 제시하는데 그 목적을 두고 있다. 본 연구를 통하여 사용자의 주관적인 판단을 배제할 수 있고, 결합된 개인정보 위험도 산정에 사용될 수 있다. 또한, 제시되는 정략적인 위험도는 객관적인 지표로 사용될 수 있는 기준을 제시할 수 있을 것이다.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제16권5호
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• pp.546-550
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• 2010

본 논문에서는 모바일 폰에서 오프라인 필기체 과분할 인식의 후처리 방법에 관하여 논하였다. 제안된 방법은 조합 행렬 생성, 문자 조합 필터링, 문자 유사도 측정으로 구성된다. 조합 행렬 생성 과정은 각각의 조각의 인식 결과로부터 생성가능한 모든 조합 행렬을 계산하는 부분이며 조합 행렬을 그래프로 구성하게 된다. 문자 조합 필터링 과정은 그래프의 노드들과 단어 사전을 비교하여 불필요한 노드를 삭제하는 과정이며 문자 유사도 측정과정은 단어 사전의 각각의 단어들과 Levenshtein 거리(distance)를 계산하여 최적의 후처리 결과를 추출하게 된다. 제안된 방법의 인식률은 85.8%의 정확도를 보였다.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.61-67
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• 2020

This paper examines whether the combination of risk management and audit committee functions are associated with audit report lag. Audit report lag is considered an important aspect of the financial reporting. The financial reports are the main source of information for shareholders through which they make their decisions and it assists in reducing the information asymmetry. As the internal control mechanisms substitute the external ones, the internal board committees formed by the board of directors can reduce the audit work and, consequently, reduces the audit report lag. A key committee is the risk management committee. This paper examines whether the combination of risk management and audit committee functions are associated with audit report lag. We posit that a combination of such functions in one committee refereed as audit committee affects the audit report delay. Data were obtained from 198 manufacturing companies listed on the Saudi Stock Exchange (Tadawul) for the years 2016-2018. A pooled OLS regression analysis shows that a combination of risk management and audit committee functions in a stand-alone committee named "audit committee" is associated with longer audit report lag. The outcomes suggest companies should prioritize the establishment of standalone risk management committee with activities separated from those of audit committees.

• Journal of information and communication convergence engineering
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• 제17권4호
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• pp.261-266
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• 2019

Differential evolution (DE) is an uncomplicated and serviceable developmental algorithm. Nevertheless, its execution depends on strategies and regulating structures. The combination of several strategies between subpopulations helps to stabilize the probing on DE. In this paper, we propose a unique k-mean soft island model DE(KSDE) algorithm which maintains population diversity through soft island model (SIM). A combination of various approaches, called KSDE, intended for migrating the subpopulation information through SIM is developed in this study. First, the population is divided into k subpopulations using the k-means clustering algorithm. Second, the mutation pattern is singled randomly from a strategy pool. Third, the subpopulation information is migrated using SIM. The performance of KSDE was analyzed using 13 benchmark indices and compared with those of high-technology DE variants. The results demonstrate the efficiency and suitability of the KSDE system, and confirm that KSDE is a cost-effective algorithm compared with four other DE algorithms.

• 한국언어정보학회지:언어와정보
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• 제8권1호
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• pp.77-100
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• 2004

This paper aims to account for direct combination of an entity type noun with the verb HA- 'do' (ex. piano-rul ha- 'piano-ACC do') in Korean, based on Generative Lexicon Theory (Pustejovsky, 1995). The verb HA-'do' coerces some entity type nouns (e.g., pap 'boiled rice') into event type ones, by virtue of the qualia of the nouns. Typically, a telic-based type coercion supplies individual predication to the HA- construction and an agentive-based type coercion evokes a stage-level interpretation. Type coercion has certain constraints on the choice of qualia. We further point out that qualia cannot be a warehouse of pragmatic information. Qualia are composed of necessary information to explain the lattice structure of lexical meaning and co-occurrence constraints, distinct from accidental information. Finally, we seriously consider co-composition as an alternative to type coercion for the crucial operation of type shift.

• Journal of Positioning, Navigation, and Timing
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• 제4권1호
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• pp.33-41
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• 2015

Compact Network Real-Time Kinematic (RTK) is a method that combines compact RTK and network RTK, and it can effectively reduce the time and spatial de-correlation errors. A network RTK user receives multiple correction information generated from reference stations that constitute a network, calculates correction information that is appropriate for one's own position through a proper combination method, and uses the information for the estimation of the position. This combination method is classified depending on the method for modeling the GPS error elements included in correction information, and the user position accuracy is affected by the accuracy of this modeling. Among the GPS error elements included in correction information, tropospheric delay is generally eliminated using a tropospheric model, and a combination method is then applied. In the case of a tropospheric model, the estimation accuracy varies depending on the meteorological condition, and thus eliminating the tropospheric delay of correction information using a tropospheric model is limited to a certain extent. In this study, correction information modeling accuracy performances were compared focusing on the Low-Order Surface Model (LSM), which models the GPS error elements included in correction information using a low-order surface, and a modified LSM method that considers tropospheric delay characteristics depending on altitude. Both of the two methods model GPS error elements in relation to altitude, but the second method reflects the characteristics of actual tropospheric delay depending on altitude. In this study, the final residual errors of user measurements were compared and analyzed using the correction information generated by the various methods mentioned above. For the performance comparison and analysis, various GPS actual measurement data were collected. The results indicated that the modified LSM method that considers actual tropospheric characteristics showed improved performance in terms of user measurement residual error and position domain residual error.

• 정보처리학회논문지B
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• 제9B권1호
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• pp.17-22
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• 2002

Dempster-Shafer 증거병합 방법의 가장 큰 문제는 계산 복잡도가 지수적인 증가를 갖는다는 점이다. 이는 가설 집단을 이루는 원소의 개수가 각 가설을 이루는 속성 값들의 모든 부분 집합으로 focal 요소로 구성되기 때문이다. 이 문제를 피하기 위해 본 논문에서는 근사적 증거 병합 방법을 제안한다. 이 방법은 간단한 응용에 적용하여 그 성능을 조사하고 다른 증거 병합 방법의 하나인 VBS의 결과와 비교해 본다. 근사적 증거 병합방법은 계산 속도를 크게 개선하였고 전문가가 허용하는 편차 수준에서 신뢰 값을 갖는 것으로 평가되었다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제16권5호
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• pp.564-581
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• 2016

We present an efficient hardware prime generator that generates a prime p by combining trial division and Fermat test in parallel. Since the execution time of this parallel combination is greatly influenced by the number k of the smallest odd primes used in the trial division, it is important to determine the optimal k to create the fastest parallel combination. We present probabilistic analysis to determine the optimal k and to estimate the expected running time for the parallel combination. Our analysis is conducted in two stages. First, we roughly narrow the range of optimal k by using the expected values for the random variables used in the analysis. Second, we precisely determine the optimal k by using the exact probability distribution of the random variables. Our experiments show that the optimal k and the expected running time determined by our analysis are precise and accurate. Furthermore, we generalize our analysis and propose a guideline for a designer of a hardware prime generator to determine the optimal k by simply calculating the ratio of M to D, where M and D are the measured running times of a modular multiplication and an integer division, respectively.

• 센서학회지
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• 제23권2호
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• pp.99-104
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• 2014

Sensor arrays based on chemical sensors produce multidimensional patterns of data that may be used discriminate between different chemicals. For the human observer, visualization of multidimensional data is difficult, since the eye and brain process visual information in two or three dimensions. To devise a simple means of data inspection from the response of sensor arrays, PCA (Principal Component Analysis) or Sammon's nonlinear mapping technique can be applied. The PCA, which is a well-known statistical method and widely used in data analysis, has disadvantages including data distortion and the axes for plotting the dimensionally reduced data have no physical meaning in terms of how different one cluster is from another. In this paper, we have investigated two techniques and proposed a combination technique of PCA and nonlinear Sammom mapping for visualization of multidimensional patterns to two dimensions using data sets from odor sensing system. We conclude the combination technique has shown more advantages comparing with the PCA and Sammon nonlinear technique individually.