• 한국CDE학회논문집
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• 제19권4호
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• pp.316-323
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• 2014

This paper proposes the 3D modeling and simulation technique for predicting the integrated performance of combat vehicle. To consider the practical driving and firing condition of a combat vehicle, the full vehicle model, which can define the six degrees-of-freedom of vehicle motion and various firing angles, is developed. The critical design parameters such as the stiffness and damping coefficient of suspension system are applied to construct the analysis model of vehicle. A simple ballistic model, which incorporates the empirical interior ballistic model and the point mass trajectory model, is built to estimate the firing range and the firing recoil force. To predict the integrated performance and analyze the effect of system parameters, MATLAB/SIM-ULINK model of a combat vehicle for performing the real time simulation is also developed. Several simulation tests incorporating the road bump and the firing recoil force are presented to confirm the effectiveness of the proposed vehicle model.

• 한국통신학회논문지
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• 제38C권3호
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• pp.247-253
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• 2013

본 논문에서는 선박 통합 게이트웨이를 이용하여 선박 내 기기를 하나의 네트워크로 연결하는 선박 네트워크(Ship Area Network)에 대하여 네트워크의 구조를 분석하고 모든 기기의 연결을 담당하는 선박 통합 게이트웨이의 망요소적 역할 및 필요 최소 성능에 대해 분석한다. 이를 위하여 선박 내 네트워크에 대한 참조망 구조 및 종단간 연결에 대해 분석하고 트래픽 모델 및 선박 네트워크의 요구사항을 분석하였다. 그리고 이를 바탕으로 선박 통합 네트워크 구조를 반영하는 네트워크 시뮬레이터를 설계하였다. 망요소에 대한 성능 평가 결과, 제안한 네트워크에서 통합 게이트웨이가 스위치로서 동작하고 약 30,000 packets/s 이상의 성능을 보유하였을 때, 선박 네트워크가 선박 내부의 트래픽을 안정적으로 전송하였음을 확인할 수 있었다.

• Journal of Positioning, Navigation, and Timing
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• 제1권1호
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• pp.51-57
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• 2012

In this paper, design of an error model is presented in which the bias characteristic of the MEMS IMU is taken into consideration for performance enhancement of the MEMS IMU-based GPS/INS integrated navigation system. The drift bias of the MEMS IMU is modeled as a 1st-order Gauss-Markov (GM) process, and the autocorrelation function is obtained from the collected IMU data, and the correlation time is estimated from this. Prior to obtaining the autocorrelation function, the noise of IMU data is eliminated based on wavelet. As a result of simulation, it is represented that the parameters of error model can be estimated correctly only when a proper denoising is performed according to dynamic behavior of drift bias, and that the integrated navigation system based on error model, in which the drift bias is considered, provides more correct navigation performance compared to the integrated navigation system based on error model in which the drift bias is not considered.

• 대한임베디드공학회논문지
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• 제5권2호
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• pp.67-76
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• 2010

Although both functional verification and performance evaluation are necessary for the development of effective and reliable communication systems, they have been often performed independently; by functional modeling with formal language tools and by performance modeling with professional network performance evaluation tools, respectively. Separate and repeated modeling of one system, however, would often result in cost increase and inconsistency between the models. This paper proposes an integrated model design approach in order to overcome this problem that evaluates the performance of a communication protocol designed in SDL with SDL-OPNET model conversion. The proposed technique generates OPNET skeleton code from Tau-generated C code of the SDL model by analyzing the relations between SDL and OPNET models. IEEE 802.2 LLC protocol was used as an example of model conversion to show the applicability and effectiveness of the proposed technique.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.247-257
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• 2020

This study aims to examine the effects of integrated performance measurement on firm success of beverage businesses in Thailand. Integrated performance measurement, organizational commitment, organizational citizenship behavior, and firm success are the main variables of the study. In this study, all 653 beverage businesses from Department of Business Development, Ministry of Commerce, Thailand are the samples of the study. The data collection was provided during February - April, 2016. A mail survey procedure via questionnaire was used for data collection. 163 responses were received. Of the surveys completed and returned, 159 were usable. The structural equation model (SEM) is conducted to examine the effects of integrated performance measurement on organizational commitment, organizational citizenship behavior and firm success. The results show that integrated performance measurement positively influences organizational commitment, organizational citizenship behavior and firm success. Organizational commitment positively affects both organizational citizenship behavior and firm success while organizational citizenship behavior positively impacts firm success. In summary, integrated performance measurement as a strategic management accounting approach is a key determinant of firms' business outcome. Firms need to support their resources and capabilities in developing, implementing, utilizing, and maintaining integrated performance measurement. Potential discussion, conclusion, and suggestions and directions for future research are highlighted.

• 경영과학
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• 제24권2호
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• pp.177-196
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• 2007

For better predictions and classifications in customer recommendation, this study proposes an integrative model that efficiently combines the currently-in-use statistical and artificial intelligence models. In particular, by integrating the models such as Association Rule, Frequency Matrix, and Rule Induction, this study suggests an integrative prediction model. Integrated models consist of four models: ASFM model which combines Association Rule(A) and Frequency Matrix(B), ASRI model which combines Association Rule(A) and Rule Induction(C), FMRI model which combines Frequency Matrix(B) and Rule Induction(C), and ASFMRI model which combines Association Rule(A), Frequency Matrix(B), and Rule Induction(C). The data set for the tests is collected from a convenience store G, which is the number one in its brand in S. Korea. This data set contains sales information on customer transactions from September 1, 2005 to December 7, 2005. About 1,000 transactions are selected for a specific item. Using this data set. it suggests an integrated model predicting whether a customer buys or not buys a specific product for target marketing strategy. The performance of integrated model is compared with that of other models. The results from the experiments show that the performance of integrated model is superior to that of all other models such as Association Rule, Frequency Matrix, and Rule Induction.

• 한국유체기계학회 논문집
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• 제17권4호
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• pp.53-58
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• 2014

Vacuum pump transfers waste that is pulverized by integrated macerator. For this reason, unlike ordinary pump systems, there is a rotating macerator ahead of impeller for pulverizing. It is hard to predict numerical solution because area of Inlet flow path changes according to the rotation angle of the integrated macerator. So, in this study, the verification of performance evaluation method of Marine vacuum pump were numerically studied by commercial ANSYS CFX 13.0 software. We select a model of performance evaluation for study, and we analyze change of inlet flow path of integrated macerator according to rotation angle. We generate 5 model sets according to rotation angle of the integrated macerator. And we evaluate their performance by numerical analysis. Then, we analyze internal flow field and performance according to rotation angle of the integrated macerator based on numerical analysis result. In addition, we compared with experimental data for validity of numerical result by using steady state analysis.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2007년도 추계학술대회
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• pp.489-498
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• 2007

For better predictions and classifications in customer recommendation, this study proposes an integrative model that efficiently combines the currently-in-use statistical and artificial intelligence models. In particular, by integrating the models such as Association Rule, Frequency Matrix, and Rule Induction, this study suggests an integrative prediction model. The data set for the tests is collected from a convenience store G, which is the number one in its brand in S. Korea. This data set contains sales information on customer transactions from September 1, 2005 to December 7, 2005. About 1,000 transactions are selected for a specific item. Using this data set, it suggests an integrated model predicting whether a customer buys or not buys a specific product for target marketing strategy. The performance of integrated model is compared with that of other models. The results from the experiments show that the performance of integrated model is superior to that of all other models such as Association Rule, Frequency Matrix, and Rule Induction.

• 인지과학
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• 제35권1호
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• pp.1-21
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• 2024

본 연구는 두 가지 이론적 모델인 통합된 객체 모형과 특장 병렬-독립 저장 모형을 검증함으로써 시각작업기억 표상의 특성을 조사하였다. 실험 I에서 참가자들은 색상 사각형, 방위 막대 또는 두 가지 모두로 구성된 배열을 기억한 뒤 이를 토대로 변화탐지과제를 수행했다. 단일 특징 조건에서 기억배열은 하나의 특징(방위 또는 색상)으로만 구성된 반면, 두 가지 특징 조건은 둘 모두를 포함했다. 두 조건간 변화탐지 수행의 차이는 없었으며 이는 병렬-독립 저장 모형보다는 통합된 객체 모형을 지지한다. 실험 II에서는 이등변삼각형의 방위, 색상 사각형 또는 두 특징 모두로 구성된 기억배열을 대상으로 회상과제가 실시되었으며, 단일 특징과 두 가지 특징 조건 간 회상 수행이 비교되었다. 두 조건 간 회상 정확도에는 차이가 없었으나 표상 선명도와 추측반응에 대한 분석 결과는 강한 객체 모형보다는 약한 객체 모형을 시사했다. 본 연구의 결과는 시각작업기억의 표상 특성을 둘러싼 현시점의 논쟁에 있어서 병렬-독립 저장 모형이 아닌 통합된 객체 모형의 우세를 지지한다.

• International Journal of Aeronautical and Space Sciences
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• 제14권4호
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• pp.369-378
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• 2013

This paper presents a vision/LiDAR integrated navigation system that provides accurate relative navigation performance on a general ground surface, in GNSS-denied environments. The considered ground surface during flight is approximated as a piecewise continuous model, with flat and slope surface profiles. In its implementation, the presented system consists of a strapdown IMU, and an aided sensor block, consisting of a vision sensor and a LiDAR on a stabilized gimbal platform. Thus, two-dimensional optical flow vectors from the vision sensor, and range information from LiDAR to ground are used to overcome the performance limit of the tactical grade inertial navigation solution without GNSS signal. In filter realization, the INS error model is employed, with measurement vectors containing two-dimensional velocity errors, and one differenced altitude in the navigation frame. In computing the altitude difference, the ground slope angle is estimated in a novel way, through two bisectional LiDAR signals, with a practical assumption representing a general ground profile. Finally, the overall integrated system is implemented, based on the extended Kalman filter framework, and the performance is demonstrated through a simulation study, with an aircraft flight trajectory scenario.