• 한국통신학회논문지
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• 제23권7호
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• pp.1718-1731
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• 1998

디지탈 quadrature 복조기는 디지탈 통신 시스템에서 변조된 신호의 정확한 위상 복조를 위해 꼭 필요하다. 기존의 방법들은 주로 DDFS(Direct Digital Frequency Synthsizer)를 이용하여 캐리어를 발생시킨 후에 승산기를 이용하여 복조를 수행하였다. 그리고, DDFS에는 주로 ROM(Read Only Memory)을 사용하였는데, 높은 속도와 정확도를 요구하는 경우 ROM의 속도와 크기가 제한이 될 수있다. 이러한 점을 극복하기 위하여 CORDIC(COordinate Rotation Digital Computer) 알고리듬을 사용하여 주파수 합성은 물론 캐리어 복조까지 수행하는 방식을 제안하였다. 최적의 하드웨어 구현을 위해 제한된 단어길이에 의한 영향을 분석하였으며, 하드웨어 비용면에서 ROM을 사용하는 방법과 비교한 결과 약 1/3 정도로 면적이 줄었다. 제안된 구조를 이요한 전주문형 VLSI 구현 결과를 보인다.

• 한국전자파학회논문지
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• 제8권6호
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• pp.645-655
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• 1997

본 논문에서는 CDMA 시스댐에 적용하기 위해 기저 대역에서 설계된 비동기식 동기 추적 회로의 성능을 이론적으로 분석하고 컴퓨터 시뮬레이션을 통해 검증한다. AWGN 채널 환경에서 지터 분산을 펼스 성형 필터, 타이밍 오프셋, 신호 대 잡음 비, 루우프 필터 계수의 함수로 이론적으로 유도하고 2차 동기 추적 회로를 중심으로 루우프 필터의 설계에 판해 고찰한다. 끝으로, 설계된 동기 추적 회로를 ETRI에서 IMT-2000을 위해 설계한 동기식 CDMA 시스템의 역방향 링크에 적용하여 AWGN과 레일라이 페이딩 환경에서의 성능을 시율레이션을 통해 검증한다.

• 한국통신학회논문지
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• 제22권9호
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• pp.2035-2042
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• 1997

비동기 부호 분할 다중 접속(Code Division Multiple Access: CDMA) 시스템을 위한 다단(mutistage) 간섭 제거 검출기의 매 단에서 기존에 사용되어 온 경판정(hard decision)을 대신할 수 있는 연판정(soft decision) 함수의 설계를 고려한다. 특히, 평균 제곱 오류(mean square error: MSE)의 관점에서 최적인 시그모이드(sigmoid) 함수와 구현시 복잡도를 줄이면서 시그모이드 함수를 가장 잘 근사화하는 다단계 양자화기(multu-level quantizer)들을 유도한다. 다단 검출기의 매 단에서 이들 판정 함수들의 변수는 산출된 입력 특성에 의해 조정된다. 컴퓨터 모의 실험을 통하여 이들 연판정 함수를 갖는 다단 검출기가 경판정을 사용하는 경우보다 현저하게 성능을 향상시킴을 보인다.

• 한국컴퓨터정보학회논문지
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• 제3권4호
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• pp.35-43
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• 1998

본 논문은 DS/SS의 동기 복조를 위한 동기발진기의 특성에 대하여 연구하였다. 동기발진기는 외부신호가 인가되지 않을 때에는 고유 주파수를 발진하고. 고조파 및 저조파의 외부 신호가 인가되면 동기발진기는 인가 신호를 추적하여 동조한다 따라서 출력은 광대역의 외부 주파수에 동기 하므로서 주파수 분주와 주파수 증배에 이용 할 수 있으며, 디지탈 통신에 있어서 동기 문제점을 해결 할 수 있는 방안을 제시하였으며, 이와 같은 특성을 이용하여 DS/SS 동기 적용을 위한 실험에서 양호한 동기 특성을 얻을 수 있었다. 본 연구논문은 1998년 부산정보대학의 학술 연구조성비로 이루어졌으며, 지원해주신 부산정보대학에 감사드립니다.

• 한국항공운항학회지
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• 제11권2호
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• pp.33-42
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• 2003

In this paper, we propose an enhancement of the ultrasonic image for non-destructive inspection of aircraft composite materials. The ultrasonic images are corrupted by a speckle noise which has the characteristic of granular pattern noise and is in all types of coherent imaging systems, the signal independent and multiplicative noise. In this paper, we derive a filter, called the AWLF(Adaptive Window Log Filter), from the nature of the speckle. The filter is made of the MEAN Filter in the edge region and Log Filter in the flat or noise region. To make a distinction between edge and flat region, we calculate the inclination around the local window instead of computing the local statistics of pixels such as local mean ${\bar{M}}$ and standard deviation ${\sigma}_s$. According to the obtained region, edge region is performed by the mean filter and flat region by the Log filter. Performance of the proposed filter is evaluated by the Enhanced Factor$(F_e)$ and the Speckle Index(SI).

• 한국통신학회논문지
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• 제35권1C호
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• pp.123-129
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• 2010

본 논문에서는 안정된 다중경로환경에서 동기 (coherent) 단일 및 이중 이른-늦은 상관차 판별기로 범역위성항법시스템 민간용 신호의 부호동기를 결정했을 때 잔존하는 오차인 부호동기추적편이를 분석한다. 이를 위해 중심 주파수 1575.42MHz의 대표적인 위성항법신호대역에서 이진위상천이 및 이진천이반송파 변조된 민간용신호 및 그 처리과정을 모형화하고, 이 모형을 바탕으로 다양한 경우에 대해 각 부호동기추적편이를 비교 분석한다.

• Journal of Computing Science and Engineering
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• 제1권2호
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• pp.125-160
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• 2007

Data Warehousing and OLAP (On-Line Analytical Processing) have turned into the key technology for comprehensive data analysis. Originally developed for the needs of decision support in business, data warehouses have proven to be an adequate solution for a variety of non-business applications and domains, such as government, research, and medicine. Analytical power of the OLAP technology comes from its underlying multidimensional data model, which allows users to see data from different perspectives. However, this model displays a number of deficiencies when applied to non-conventional scenarios and analysis tasks. This paper presents an attempt to systematically summarize various extensions of the original multidimensional data model that have been proposed by researchers and practitioners in the recent years. Presented concepts are arranged into a formal classification consisting of fact types, factual and fact-dimensional relationships, and dimension types, supplied with explanatory examples from real-world usage scenarios. Both the static elements of the model, such as types of fact and dimension hierarchy schemes, and dynamic features, such as support for advanced operators and derived elements. We also propose a semantically rich graphical notation called X-DFM that extends the popular Dimensional Fact Model by refining and modifying the set of constructs as to make it coherent with the formal model. An evaluation of our framework against a set of common modeling requirements summarizes the contribution.

• 한국재료학회지
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• 제15권9호
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• pp.566-576
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• 2005

This paper describes an ab Initio study on interface energies, misfit strain energies, and electron structures at coherent interfaces Fe(bcc structure)/MCs(NaCl structure M=Ti, Zr, Hf). The interface energies at relaxed interfaces Fe/TiC, Fe/ZrC and Fe/HfC were 0.263, 0.153 and $0.271 J/m^2$, respectively. It was understood that the dependence of interface energy on the type of carbide was closely related to changes of the binding energies between Fe, M and C atoms before and after formation of the interfaces Fe/MCs with the help of the DLP/NNBB (Discrete Lattice Plane/ Nearest Neighbour Broken Bond) model and data of the electron structures. The misfit strain energies in Fe/TiC, Fe/ZrC and Fe/HfC systems were 0.390, 1.692 and 1.408 eV per 16 atoms(Fe: 8 atoms and MC; 8 atoms). More misfit energy was generated as difference of lattice parameters between the bulk Fe and the bulk MCs increased.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.9-20
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• 2021

Abstraction applied in computer networking hides network details behind a well-defined representation by building a model that captures an essential aspect of the network system. Two current methods of representation are available, one based on graph theory, where a network node is reduced to a point in a graph, and the other the use of non-methodological iconic depictions such as human heads, walls, towers or computer racks. In this paper, we adopt an abstract representation methodology, the thinging machine (TM), proposed in software engineering to model computer networks. TM defines a single coherent network architecture and topology that is constituted from only five generic actions with two types of arrows. Without loss of generality, this paper applies TM to model the area of network monitoring in packet-mode transmission. Complex network documents are difficult to maintain and are not guaranteed to mirror actual situations. Network monitoring is constant monitoring for and alerting of malfunctions, failures, stoppages or suspicious activities in a network system. Current monitoring systems are built on ad hoc descriptions that lack systemization. The TM model of monitoring presents a theoretical foundation integrated with events and behavior descriptions. To investigate TM modeling's feasibility, we apply it to an existing computer network in a Kuwaiti enterprise to create an integrated network system that includes hardware, software and communication facilities. The final specifications point to TM modeling's viability in the computer networking field.

• Nuclear Engineering and Technology
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• 제50권8호
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• pp.1306-1313
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• 2018

The randomness and incipient nature of certain faults in reactor systems warrant a robust and dynamic detection mechanism. Existing models and methods for fault diagnosis using different mathematical/statistical inferences lack incipient and novel faults detection capability. To this end, we propose a fault diagnosis method that utilizes the flexibility of data-driven Support Vector Machine (SVM) for component-level fault diagnosis. The technique integrates separately-built, separately-trained, specialized SVM modules capable of component-level fault diagnosis into a coherent intelligent system, with each SVM module monitoring sub-units of the reactor coolant system. To evaluate the model, marginal faults selected from the failure mode and effect analysis (FMEA) are simulated in the steam generator and pressure boundary of the Chinese CNP300 PWR (Qinshan I NPP) reactor coolant system, using a best-estimate thermal-hydraulic code, RELAP5/SCDAP Mod4.0. Multiclass SVM model is trained with component level parameters that represent the steady state and selected faults in the components. For optimization purposes, we considered and compared the performances of different multiclass models in MATLAB, using different coding matrices, as well as different kernel functions on the representative data derived from the simulation of Qinshan I NPP. An optimum predictive model - the Error Correcting Output Code (ECOC) with TenaryComplete coding matrix - was obtained from experiments, and utilized to diagnose the incipient faults. Some of the important diagnostic results and heuristic model evaluation methods are presented in this paper.