• 한국통신학회논문지
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• 제32권2B호
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• pp.118-123
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• 2007

This paper studied the transmission control protocol over IP network to enhance the performance of the GSO satellite communication networks. The focus of this study is how to reduce the long round trip time and the transmission data rates over satellite link in the bidirectional satellite network. To do it, this study applied the caching and spoofing technology. The spoofing technology is used to reduce the required time for the link connection during communication. The caching technology is to improve the transmission bandwidth efficiency in the high transmission data rate link The tests and measurements in this study was performed in the commercial GSO communication satellite network and the terrestrial Internet network. The results of this paper show that the studied protocol in this paper highly enhance the performance of the bidirectional satellite communication network compare to the using TCP/IP satellite network protocol.

• 한국멀티미디어학회논문지
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• 제23권4호
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• pp.539-548
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• 2020

Deep learning technology is currently being used and applied in many different fields. Convolution neural network (CNN) is a method of artificial neural networks in deep learning, which is commonly used for analyzing different types of images through classification. In the conventional classification of histopathology images of prostate carcinomas, the rating of cancer is classified by human subjective observation. However, this approach has produced to some misdiagnosing of cancer grading. To solve this problem, CNN based classification method is proposed in this paper, to train the histological images and classify the prostate cancer grading into two classes of the benign and malignant. The CNN architecture used in this paper is based on the VGG models, which is specialized for image classification. However, color normalization was performed based on the contrast enhancement technique, and the normalized images were used for CNN training, to compare the classification results of both original and normalized images. In all cases, accuracy was over 90%, accuracy of the original was 96%, accuracy of other cases was higher, and loss was the lowest with 9%.

• 한국전자통신학회논문지
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• 제14권5호
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• pp.901-906
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• 2019

무인항공기는 오락산업을 비롯하여 민간 및 국방 분야 등의 다양한 분야에서 널리 적용되고 있다. 무인항공기를 통신시스템에 적용하는 기술 또한 주요한 응용분야 중 하나이다. 중계기는 통신성능향상 및 통신거리 확장의 장점으로 인해 통신시스템에서 많은 관심을 받아왔다. 본 논문에서는 중계기로의 무인항공기에 대한 연구동향을 물리계층에 초점을 맞추어 알아본다. 먼저 현재 무인항공기를 중계기로 적용하여 연구된 사항을 소개하고 무인항공기를 이용한 중계네트워크의 기본적인 성능을 듀얼홉 통신시스템에서 복조 후 전송 프로토콜을 적용하여 분석한다. 성능은 심벌오류율로 나타내며 무인항공기 채널은 비대칭 환경을 가정하여 적용한다. 마지막으로 성능분석을 기반으로 하여 물리계층에서 성능향상을 위해 필요한 사항에 대해 논의한다.

• 한국가족복지학
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• 제58호
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• pp.151-179
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• 2017

이 연구의 목적은 노인의 SNS 활동을 통한 소통증진 프로그램을 평가하려는 것이다. 이 프로그램은 소통교육, SNS 활동가 만남, SNS 교육과 실습, SNS 활동과 홍보, 시연회, SNS 활동가 발대식, 오프라인 모임 등으로 구성되어 있다. 프로그램 참여자들로부터 다양한 자료를 수집하였고, 과정과 성과 측면에서 평가하였다. 프로그램에 대한 양적 질적 분석을 실시한 결과, SNS 활용을 통한 사회참여의 기회 확대, SNS 활성화를 통한 소통증진, 노인복지의 새로운 대안문화 창출, 세대 간의 긍정적인 인식변화 등 본 프로그램이 다양한 측면에서 긍정적인효과를 가지고 있음을 확인할 수 있었다. 이러한 연구결과에 근거하여 노인들의 SNS 활동을통한 소통증진 프로그램을 개선하기 위한 실천 지침들을 제언하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 ICEIC The International Conference on Electronics Informations and Communications
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• pp.233-236
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• 2004

This paper proposes new method for the enhancement of nonexistent high frequency spectral contents from low sample rate audio signal. For example, Due to the protocol constraint, the audio bandwidth of MP3 is restricted to 16Khz. Although band-restricted MP3 audio provide savings of storage space and network bandwidth, it suffers a major problem of a loss in high frequency fidelity such as localization, ambient information, and bright nature of audio. This paper provides a new mathematical analysis for the adaptive estimation of the high frequency contents based on the nature of the input low sample rate audio. Proposed method can be worked globally to any kind of audio such as speech and music that are restricted by sampling rate and bandwidth.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회B
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• pp.2106-2109
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• 2008

Nanofluids have been studied as possible alternatives for heat transfer fluids to improve the efficiency of heat exchangers. There are deviations of measured effective thermal conductivities between research-groups, and the mechanisms of the effective thermal conductivity enhancement of nanofluids are not confirmed yet. In this study, the effects of particle shape on the effective thermal conductivity enhancement are discussed and presented as a possible explanation of the deviations. The particle motion effect is found to be negligible for nanofluids of high aspect ratio cylindrical particles, which is believed to be important for nanofluids of spherical particles, while the percolation network formation and contact resistance play dominant roles in determining the effective thermal conductivity.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.185-193
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• 2022

There have been various studies in Korea to develop a %IMF(Intramuscular Fat Percentage) estimation method suitable for Hanwoo. Recently, a %IMF estimation method using a convolutional neural network (CNN), a kind of deep learning method among artificial intelligence methods, has been studied. In this study, we performed a performance comparison when various preprocessing methods were applied to the %IMF estimation of ultrasound images using CNN as mentioned above. The preprocessing methods used in this study are normalization, histogram equalization, edge enhancement, and a method combining normalization and edge enhancement. When estimating the %IMF of Hanwoo by the conventional method that did not apply preprocessing in the experiment, the accuracy was 98.2%. The other hand, we found that the accuracy improved to 99.5% when using preprocessing with histogram equalization alone or combined regularization and edge enhancement.

• 한국통신학회논문지
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• 제35권7B호
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• pp.1050-1057
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• 2010

오늘날 네트워크에 대한 침해사고가 급증하고 있으며, 점차 증가하고 있는 인바운드 네트워크에 대한 공격도 함께 증가하고 있다. 이러한 공격에 대응하기 위해서 보안시스템의 개발이 지속적으로 이뤄지고 있지만, 인바운드 네트워크의 성능 감소의 문제가 발생하기 때문에, 성능 향상과 보안성 강화를 위한 모두를 고려한 보안시스템 개발이 시급한 실정이다[1]. 따라서 본 논문에서는 네트워크를 분할하여 보안등급에 따라 관리함으로써 성능을 향상 시키기 위한 보안클러스터링을 제안하고자 한다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2011년도 제42회 하계학술대회
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• pp.1916-1917
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• 2011

A development of a new moving obstacle avoidance algorithm using a delay-time Compensation for a network-based autonomous mobile robot is proposed in this paper. The moving obstacle avoidance algorithm is based on a Kalman filter through moving obstacle estimation and a Bezier curve for path generation. And, the network-based mobile robot, that is a unified system composed of distributed environmental sensors, mobile actuators, and controller, is compensated by a network delay compensation algorithm for degradation performance by network delay. The network delay compensation method by a sensor fusion using the Kalman filter is proposed for the localization of the robot to compensate both the delay of readings of an odometry and the delay of reading of environmental sensors. Through some simulation tests, the performance enhancement of the proposed algorithm in the viewpoint of efficient path generation and accurate goal point is shown here.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2003년도 Proceeding
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• pp.84-87
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• 2003

This paper proposes the enhanced REF network, which arbitrates learning rate and momentum dynamically by using the fuzzy system, to arbitrate the connected weight effectively between the middle layer of REF network and the output layer of REF network. ART2 is applied to as the learning structure between the input layer and the middle layer and the proposed auto-turning method of arbitrating the learning rate as the method of arbitrating the connected weight between the middle layer and the output layer. The enhancement of proposed method in terms of learning speed and convergence is verified as a result of comparing it with the conventional delta-bar-delta algorithm and the REF network on the basis of the ART2 to evaluate the efficiency of learning of the proposed method.