• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.12B
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• pp.2039-2045
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• 2000

본 논문에서는 계산이 간단한 두 가지의 GMSK (Gaussian minimum shift-keying) 변조기들을 제안한다. 제안된 방법들에서는 필터링과 적분과정의 순차적인 처리 대신에, 필터링되는 데이터 계열들에 따른 적분기 출력에서의 위상 성분들을 미리 구하고, ROM (read only memory)에 저장함으로써 계산량을 크게 줄일 수 있다. 첫 번째 방법에서는 필터링되는 심벌들에 따른 각 샘플시점에서의 위상 변화량들이 미리 계산되며, 위상 샘플 값은 필터에 입력되는 데이터 계열에 의한 샘플시점에서의 총 위상 변화량을 구하여 누적함으로써 얻어진다. 두 번째 방법에서는 입력되는 모든 가능한 데이터 계열들에 따른 모든 샘플시점에서의 총 위상 변화량들을 미리 구하여 ROM에 저장하며, 위상 샘플 값은 입력되는 데이터 계열에 따라 샘플시점에 해당하는 총 위상 변화량을 선택하여 누적함으로써 얻어진다. 또한, 두 번째 방법에서는 데이터 계열의 패턴에 따른 총 위상 변화량들의 대칭적인 성질을 이용함으로써 필요한 메모리량을 줄일 수 있다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.5B
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• pp.529-536
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• 2001

광섬유 지연선로 정합 여파기를 광 패킷 어드레스 처리기로 사용한 완전 광 패킷 교환 노드들로 구성된 슬러티드 링 통신망에서 가우시언, 2차 초가우시언, 그리고 RZ 구형파 형태의 입력 광 펄스에 대한 노드의 패킷 오율 변화에 관하여 고찰하였다. 전송속도의 증가에 따라 모든 입력 펄스 형태에 대해 패킷오율이 증가하였고, 산탄 잡음의 영향이 크게 나타났다. 패킷 오율 $10^{-9}$에서 전송속도가 같은 경우에는 가우시언 펄스, 2차 초가우시언 펄스, RZ 구형파 순으로 첨두 파워가 증가한 반면, 펄스 에너지는 모든 펄스 형태에서 거의 같게 나타났다. 넓은 펄스폭을 갖는 가우시언 펄스는 대역폭 감소로 인해 잡음 전력이 감소하는 효과보다, ISI로 인한 각 어드레스 코드의 상관 출력레벨 변동으로 발생하는 파워 패널티 효과가 더 크게 나타났다. 따라서, ISI에 의한 영향을 최소화하기 위해서는 가우시언 펄스의 rms 폭을 1/(4B)이하로 유지해야 함을 알 수 있었다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.4
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• pp.303-308
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• 2004

Natural language query is the best user interface for the users of information retrieval systems. This paper Proposes a retrieval system with expanded keyword from syntactically-analyzed structures of user's natural language query based on natural language processing technique. Through the steps combining or splitting the compound nouns based on syntactic tree traversal, and expanding the other-formed or shorten-formed keyword into multiple keyword, the system performance was enhanced up to 11.3% precision and 4.7% correctness.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.394-398
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• 2020

산업/직업분류 자동코딩시스템은 고용조사 등을 함에 있어 사업체 정보, 업무, 직급, 부서명 등 사용자의 다양한 입력을 표준 산업/직업분류에 맞춰 코드 정보를 제공해주는 시스템이다. 입력 데이터로부터 비지도학습 기반의 색인어 추출 모델을 학습하고, 부분단어 임베딩이 적용된 색인어 임베딩 모델을 통해 입력 벡터를 추출 후, 출력 분류 코드를 인코딩하여 지도학습 모델에서 학습하는 방법을 적용하였다. 기존 시스템의 분류 결과 데이터를 통해 대, 중, 소, 세분류에서 높은 정확도의 모델을 구축할 수 있으며, 기계학습 기술의 적용이 가능한 시스템임을 알 수 있다.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.3
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• pp.291-295
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• 2008

In this paper, we propose an input image reduction method to solve the problems of Radon transform which is a line structure analysis tool to correct a rotated object through a vision system. First we extract an object image removed background from the input image. Then we also select a reduced object image as a final input mage of Radon transform from the object image by considering slope. Finally we extract a rotated angle by using Radon transform with the final input image and correct the rotated object with the angle. In experimental results, we could improve the process time of about 64%, reduce the memory space of about 18% and make progress the line detection rate of about 18%.

• Journal of Internet Computing and Services
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• v.8 no.6
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• pp.145-153
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• 2007

Recently, development in information technology is mainly focused on mobile service, and most of mobile users are using various services based on wireless network. So the importance of system software or middleware, which enables such mobile services, is growing bigger and bigger, and one of those is character input/output system. This paper will introduce an alphabet input system, which decomposes a character to a series of strokes, by its formation principal. It is designed to make a person, who knows the character, to input characters in the way that he/she is actually writing down the character.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.4
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• pp.145-152
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• 2019

Unlike a single value from a sensor device, a massive data set has characteristics for various processing aspects; input data may be formed in a different format, the size of input data varies, and the processing time of analyzing input data is not predictable. Therefore, context aware systems may contain complex modules, and these modules can be implemented and used in different ways. In order to solve these problems, we propose a method to handle context information from the result of analyzing massive data. The proposed method considers analysis work as a different type of abstracting context and suggests the way of representing context information. In experiment, we demonstrate how the context processing engine works properly in a couple of steps with healthcare services.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.12
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• pp.829-840
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• 2013

This paper proposes a modified RRT (Rapidly exploring Random Tree) algorithm utilizing a heuristic input analysis and suggests a test case generation method from Simulink/Stateflow model using the proposed RRT algorithm. Though the typical RRT algorithm is an efficient method to solve the reachability problem to definitely be resolved for generating test cases of model in a black box manner, it has a drawback, an inefficiency of test case generation that comes from generating random inputs without considering the internal states and the test targets of model. The proposed test case generation method increases efficiency of test case generation by analyzing the test targets to be satisfied at the current state and heuristically deciding the inputs of model based on the analysis during expanding an RRT, while maintaining the merit of RRT algorithm. The proposed method is evaluated with the models of ECUs embedded in a commercial passenger's car. The performance is compared with that of the typical RRT algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.8
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• pp.1491-1496
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• 2009

This paper presents an digital based input/output interface circuit for controlling and monitoring the Diesel Engine Generator for emergency. In order to monitor and control of the Emergency Diesel Engine Generator, controlling and monitoring circuits need 5 analog input channels, 2 pick-up coil measuring circuits, 10 digital input channels containing Broken Wire Detect function, and 7 relay control signal output channels. This system performs signal processing of input signal taking advantage of simple filter circuit, photo-coupler and comparator circuit at analog input parts, and output signals for main relay is designed acting by double control, so it prevents malfunction completely. And it improves accuracy of speed input signal by applying digital circuit that processes rick-up coil signal.

• Journal of Broadcast Engineering
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• v.11 no.2 s.31
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• pp.200-206
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• 2006

This paper presents a preprocessing method to modify the input audio signals of a speech coder to obtain the finally enhanced signals at the decoder. For the purpose, we introduce the noise suppression (NS) scheme and the adaptive gain control (AGC) where an audio input and its coding error are considered as a noisy signal and a noise, respectively. The coding error is suppressed from the input and then the suppressed input is level aligned to the original input by the following AGC operation. Consequently, this preprocessing method makes the spectral energy of the music input redistributed all over the spectral domain so that the preprocessed music can be coded more effectively by the following coder. As an artifact, this procedure needs an additional encoding pass to calculate the coding error. However, it provides a generalized formulation applicable to a lot of existing speech coders. By preference listening tests, it was indicated that the proposed approach produces significant enhancements in the perceived music qualities.