• Journal of the Korean Institute of Navigation
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• v.1 no.1
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• pp.63-73
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• 1977

상시 이용가능한 전천후, 범세계적인 정확한 항법을 개발하는 것이 항해자들의 숙원이었다. 이제 시스템의 보완의 문제가 국제적인 규모에 초점이 맞추어 진다면 현시점의 기술로도 이 숙원이 앞으로 10년 내에 이루어 질 가능성이 엿보인다. 범세계적인 전파항법은 그 정의상 수신지점이 아무리 멀리 떨어지고 고립되어 있다 하더라도 육·해·공 어디서나 아무런 전파간섭 없이 수신될 수 있는 것이어야 한다. 범세계적인 항법방식을 채택하는 데 있어서 중요하게 고려되는 사항은 간섭이 없는 주파수 스펙트럼의 이용과 전파항법의 송신사양의 발천이다. 국가안보를 위한 항해와 민간의 목적을 위한 항해 사이의 갈등과 국가간의 요구의 상이는 국가적 결정과 국제적 협력을 위한 의미있는 도전을 나타낸다. 송신국이 육지에 있는 장거리항법방식 2가지, 즉 Loran-C와 Omega는 현재 시행되고 있으며, 인공위성항법방식이 앞으로 실현될 가능성이 있는데, 지금이 바로 행동을 취할 때라고 제안한다. 본 논문은 Loran-C와 Omega 방식의 기술사양서 발행의 절실한 필요성과 이러한 범세계적인 전파항법의 송신에 요구되는 주파수, 스펙트럼의 정의의 필요성을 기술한다. 그리고 국제 전기통신협회의 후원하에 1979년 Genova에서 열린 World Administrative Radio Conference에 앞서서 주의를 요하는 특별한 기술적인 분야에 대해서 기술한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.8
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• pp.1464-1474
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• 1994

GPS(Global Positioning System)is a satellite-based navigation system that we can survey where we are, anywhere and anytime. In this paper, delay-lock loop of the receiver which detects the navigation data is theoretically analyzed, and designed using the digital logic circuit. Also logic operations for the synchronization are analyzed. The designed system consists of the correlator which correlates the received C/A code and the generated C/A code in the receiver, the C/A code generator which generates C/A code of selected satellite, and the direct digital clock syntheizer which generates the clock of the C/A code generator to control the C/A code phase and clock rate. From the analyses results of the proposed digital delay-lock loop system, the system has the detection propertied over 90% when its input signal power is above-113.98dB. The influence of input signal variation of digital delay loop, which is the input of A/D converter, is investigated and the performance is analyzed with the variation of threshold level via the computer simulation. The logic simulation results show that the designed system detects precisely the GPS navigation data.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.4
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• pp.777-786
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• 2018

This study propose a new method to detect Cochlodinium polykrikoides on satellite images using logistic regression and decision tree. We used spectral profiles(918) extracted from red tide, clear water and turbid water as training data. The 70% of the entire data set was extracted and used for model training, and the classification accuracy of the model was evaluated by using the remaining 30%. As a result of the accuracy evaluation, the logistic regression model showed about 97% classification accuracy, and the decision tree model showed about 86% classification accuracy.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.6
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• pp.1353-1364
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• 2018

This study proposed a method to detect Cochlodinium polykrikoides red tide pixels in satellite images using a logistic regression model of machine learning technique under Imbalanced data. The spectral profiles extracted from red tide, clear water, and turbid water were used as training dataset. 70% of the entire data set was extracted and used for as model training, and the classification accuracy of the model was evaluated using the remaining 30%. At this time, the white noise was added to the spectral profile of the red tide, which has a relatively small number of data compared to the clear water and the turbid water, and over-sampling was performed to solve the unbalanced data problem. As a result of the accuracy evaluation, the proposed algorithm showed about 94% classification accuracy.

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.14-23
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• 2021

The Army is making efforts to increase combat power by incorporating technologies related to the Fourth Industrial Revolution into the field of defense. In order to utilize these technologies, it is necessary to develop a military tactical communication system that enables transmission and reception of data between command and control system and weapon systems. Therefore, in this paper, we analyze the tactical communication systems of the other countries, derive the limitations of the tactical communication system currently operating in the military. And, a multi-layered integrated operation structure centered on satellites and plans to provide communication on the move to small units are reviewed. Then, we present the necessity of a large-capacity transmission speed by predicting the amount of data that will be generated from weapon systems of the future, and a plan to efficiently manage the network using intelligent network technology.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1874-1881
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• 2021

Black ice, which occurs mainly on the road, vehicle traffic bridges and tunnel entrances due to the sub-zero temperature due to the slip of the road due to heavy snow, is not recognized because the image of asphalt is transmitted in the driver's view, so the vehicle loses braking power because it causes serious loss of life and property. In this paper, we propose a method to identify the black ice by using infrared camera and to identify the road condition by using deep learning to compensate for the disadvantages of existing black ice detection methods (artificial satellite imaging, checking the pattern of slip by ultrasonic reception, measuring the temperature of the road surface, and checking the difference in friction force of the tire during vehicle driving) and to reduce the size of the sensor to detect black ice.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.778-781
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• 2012

The electronic element the damage occurs with radiation being bombed. In order applies in the artificial satellite or the space ship therefore from the within has radiation introspection the use of the radiation electronic element is essential. Transient radiation tests performed for the first time in Korea evaluation data database (DB) was constructed to. Web-based materials in the DB is designed to be able to search and update, and existing foreign (NASA, ESA) for a total of 695 species, including public sources of data has been entered. Search DB than the existing foreign DB is an efficient and practical.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.1B
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• pp.120-127
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• 2000

In this paper, we propose multispectral image compression using classified interband prediction and vector quantization in wavelet domain. This method classifies each region considering reflection characteristics of each band in image data. In wavelet domain, we perform the classified intraband VQ to remove intraband redundancy for a reference band image that has the lowest spatial variance and the best correlation with other band. And in wavelet domain, we perform the classifled interband prediction to remove interband redundancy for the remaining bands. Then error wavelet coefficients between original image and predicted image are intraband vector quantized to reduce prediction error. Experiments on remotely sensed satellite image show that coding efficiency of theproposed method is better than that of the conventional method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.439-441
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• 2015

The ballistic missile is very threatening weapon system because it is difficult to detect and intercept due to fast speed. Recently, many countries worry about North Korea's ballistic missile launching tests especially the success of launching Kwangmyongsong-3 satellite by Eunha-3 long range rocket at 2012. This event means announcement of North Korea have capability to develop ICBM(Intercontinental Ballistic Missile) to all over the world. In this paper, it is surveyed and described that history, types and threat of ballistic missiles.

• Smart Media Journal
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• v.11 no.4
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• pp.9-18
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• 2022

Recently, research and system using AI is rapidly increasing in various fields. Smart farm using artificial intelligence and information communication technology is also being studied in agriculture. In addition, data-based precision agriculture is being commercialized by convergence various advanced technology such as autonomous driving, satellites, and big data. In Korea, the number of commercialization cases of facility agriculture among smart agriculture is increasing. However, research and investment are being biased in the field of facility agriculture. The gap between research and investment in facility agriculture and open-air agriculture continues to increase. The fields of fruit trees and plant factories have low research and investment. There is a problem that the big data collection and utilization system is insufficient. In this paper, we are proposed the system for determining the fruit tree growth stage using a deep learning-based object detection model. The system was proposed as a hybrid app for use in agricultural sites. In addition, we are implemented an object detection function for the fruit tree growth stage determine.