• Journal of the Institute of Electronics Engineers of Korea TE
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• v.37 no.5
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• pp.71-76
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• 2000

A TC-16ADPSK scheme for transmitting different kinds of information simultaneously is proposed in this paper. The scheme is designed for simultaneously transmitting two kinds of Information on one channel. In signal mapping, a data of two kinds of information is used to phase modulation on Star-16APSK constellation and the other to amplitude modulation. In detection, each data independently recovers from mixing signal on each detector Therefore, we can transmit two kinds of Information on one channel can be transmitted efficiently. BER performance of the proposed scheme is analyzed on AWGN channel and Rayleigh fading channels on a computer with Matlab communication toolbox. On same SNR, the Gray code mapping has more 0.5-1.5dB coding gains than Ungerboeck's code mapping gains.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.970-973
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• 2012

In cloud environment, enterprises use a number of systems which are not interconnected and save master information in a distributed way in each of them. Master information which is not managed is incorrect and discord each other so that lowers efficiency of business process and disables optimum decision making. It is necessary to do high-qualified management of master information to operate efficient and errorless business process. This paper suggests TMDM as a solution to solve heterogeneous problems occurred between interconnected master information in cloud environment and to manage business process in an efficient method. TMDM is an information storage that is suggested to solve mutual discord problems between master information using Topic Maps that considers correlation between data. Topic Maps can be connected by association between topics in order to access through a topic to all related knowledge information which is described by the topic. This also can be applied to master information between legacy systems within cloud.

• The Journal of the Korea Contents Association
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• v.7 no.3
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• pp.176-186
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• 2007

As SAR data have the strong point that is not influenced by weather or light amount in comparison with optical sensor data, they are highly useful for temporary analysis and can be collected in time of unforeseen circumstances like disaster. This study is to extract DEM from L-band data of JERS-1 SAR imagery using InSAR and DInSAR processing techniques. As a result of analyzing the extracted coherence and interferogram images, it was shown that the DInSAR 3-pass method produces more suitable coherence values than the InSAR method. The accuracies of DEM extracted from the SAR data were evaluated by employing the DEM derived from the digital topographic maps of 1:5000 scale as reference data. And it was ascertained that baselines between antenna locations largely affect the accuracy of extracted DEM.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.93-97
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• 2005

Sea operation monitoring system is a system for the automatic ship operation that is used on the variety sea operations such as laying optical cables on the sea between the countries, laying cables on the seabed for a remote island, laying pipelines for the natural gas, and so forth. This system processes data which optained through setting up environment and input from several sensors, and display GPS information with ENC data. And this system processes not only data of root file about sea operation, but also realtime information from PDA of client wirelessly connected with AP on wireless LAN, In addition, this system can improve efficiency of the operation as a result of enabling free movement within valid range. This paper design and Implementation Monitoring system from above appropriate to the embedded system, and improve competitive power of ship through prevention of a ship accident, to keep minimizing operation loads and support both the automatic ship operation and the safety voyage.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.9
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• pp.1771-1780
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• 2007

The necessity of Information integration has emphasized by advancement of internet and change of enterprise environment. In enterprises, it usually integrates the multi-database constructing by M&A. For this integration of information it must guarantee interpretation and integration which is stabilized with solving heterogeneous characteristic problem. In this paper, we propose the method that change the global XML query to local XML query for interpretation. It is based on XMDR(eXtended Meta-Data Registry) which expresses the connection between the standard and the local for solve the interoperability problem in heterogeneous environment. Thus, we propose the legacy model that can search and modify by one Query with creating global XML Query by XMDR. and for his, we use the 2PC technique which is the distributed transaction control technique of existing.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.374-374
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• 2019

지구온난화의 영향으로 기상이변으로 인한 피해가 증가하여 이를 예방하기 위해 풍수해 피해 예측의 필요성이 증가하였다. 이에 따라 관련 기관 및 지자체별로 각자 다른 필요성과 목적에 ?라 다양한 형태의 풍수해 관련 피해예상도가 작성되어 왔다. 풍수해 피해예상도 작성을 위해서는 시간적, 경제적 비용이 많이 소모되며, 일반적으로 정해진 빈도에 의해서만 작성되기 때문에 다양한 빈도의 작성은 불가능하다. 본 연구에서는 빈도별 홍수량과 빈도별 피해예상도를 활용하여 피해예상도를 작성하기 위해 보간기법을 마련하여 적용하고자 한다. 풍수해 피해예상도는 과거의 침수흔적과 홍수범람해석을 통하여 침수가 예상되는 지역을 미리예측한 지도로 방재대책 수립 및 재해정보지도 작성을 위한 기본 자료로 활용하는데 목적이 있다. 데이터의 보간은 불연속적으로 주어진 데이터 점들을 이용하여 그 점들 사이의 값을 추정하는 방법의 한 종류로 활용하는 데이터에 따라 보간기법이 달라진다. 보간법은 선형보간, 라그랑제 다항식 보간, 네빌레의 반복 보간, 뉴튼 다항식에 의한 보간법 등이 존재한다. 각 보간법의 내용과 특성, 활용법을 분석 비교하여 피해예상도 보간기법 모듈에 적용할 수 있는 방법을 제시하였다. 빈도별 홍수량과 빈도별 피해예상도를 활용하여 보간 기법을 적용하기 매우 제한적이며 여러 보법 중 특성을 파악했을 때 선형보간법이 가장 적합한 방법이라 판단된다. 또한, 선형보간을 위한 변수로 확률빈도보다는 홍수량 자료를 사용하는 것이 정확도를 더 향상시킬 수 있으며 침수흔적도와 DEM을 사용하여 침수용량을 파악하고 피해예상도를 선형보간하여 작성한다. 침수용량을 파악하여 선형보간하여 침수용량에 대한 임의의 홍수량을 산정하고 이를 바탕으로 피해예상도를 홍수량과 침수용량에 대한 관계를 정리하였으며 피해예상도를 선형보간하여 작성할 수 있다. 선형보간하여 작성된 피해예상도는 빈도별 강우와 실시간 지속 강우를 기반으로 해당 지역에 대한 침수 피해 예상에 활용 할 수 있다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.817-826
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• 2022

AI technology is being successfully introduced in many fields, and models deployed as a service are deployed with black box environment that does not expose the model's information to protect intellectual property rights and data. In a black box environment, attackers try to steal data or parameters used during training by using model output. This paper proposes a method of inferring the type of model to directly find out the composition of layer of the target model, based on the fact that there is no attack to infer the information about the type of model from the deep learning model. With ResNet, VGGNet, AlexNet, and simple convolutional neural network models trained with MNIST datasets, we show that the types of models can be inferred using the output values in the gray box and black box environments of the each model. In addition, we inferred the type of model with approximately 83% accuracy in the black box environment if we train the big and small relationship feature that proposed in this paper together, the results show that the model type can be infrerred even in situations where only partial information is given to attackers, not raw probability vectors.

• Journal of Aerospace System Engineering
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• v.16 no.4
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• pp.109-115
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• 2022

The CNN (Convolution Neural Network) algorithm which combines a deep learning technique, and a computer vision technology, makes image classification feasible with the high-performance computing system. In this thesis, the CNN algorithm is applied to the classification problem, by using a typical deep learning framework of TensorFlow and machine learning techniques. The data set required for supervised learning is generated with the same type of bolts. some of which have undamaged threads, but others have damaged threads. The learning model with less quantity data showed good classification performance on detecting damage in a bolt image. Additionally, the model performance is reviewed by altering the quantity of convolution layers, or applying selectively the over and under fitting alleviation algorithm.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.101-103
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• 2022

CCTV is mainly used as a real-time detection system for critical facilities. In the case of CCTV, although the accuracy is high, the viewing angle is narrow, so it is used in combination with a sensor such as a radar. LiDAR is a technology that acquires distance information by detecting the time it takes to reflect off an object using a high-power pulsed laser. In the case of lidar, there is a problem in that the utilization is not high in terms of cost and technology due to the limitation of the number of simultaneous processing sensors in the server due to the data throughput. The detection method by the optical mesh sensor is also vulnerable to strong winds and extreme cold, and there is a problem of maintenance due to damage to animals. In this paper, by using the 1550nm wavelength band instead of the 905nm wavelength band used in the existing lidar sensor, the effect on the weather environment is strong and we propose to develop a system that can integrate and control multiple sensors.

• Journal of Advanced Navigation Technology
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• v.28 no.4
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• pp.544-551
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• 2024

In this study, the electrochemical polarization data required for the simulation of the plating process, simulation of plating conditions, and characterization of the plating layer were discussed. The electrochemical polarization data obtained by potentiodynamic polarization tests and potentiostat analysis of Ni and Cu were used to observe changes in the overvoltage distribution with the flow conditions of the plating solution. In the simulation of plating conditions, the current density distribution and plating thickness distribution were evaluated under different variables to analyze the influence of the location and number of contacts on the rack pins on the plating quality. Simulation results under variables such as anode geometry, interpole distance, auxiliary anode placement, and variation of substrate spacing were used to explore ways to improve plating thickness deviation. Additionally, plating layer characterization analyzed the thickness, adhesion, and delamination of the plating layer with and without buffer layer formation. The simulation results can be utilized as important basic data for improving the efficiency and quality of the plating process.