• Annual Conference of KIPS
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• 2003.05c
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• pp.1631-1634
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• 2003

분산환경에서의 웹뷰 (WebView)는 기본적으로 3 단계 구조 (3-tier architecture)를 기본으로 하고 있으며, 이를 통하여 사용자가 요구하는 정보를 구체화시켜 제공하게 되나 현재 인터넷 환경에서는 사용자가 요구하는 정보가 한곳에만 있다고 볼 수 없다. 즉, 적절히 분산되어 있는 각 웹 서버의 정보를 다양하게 활용할 수 있는 환경을 제공하여야 사용자가 요구하는 정보를 얻을 수 있으며, 이를 위한 적합한 데이터 저장 및 웹뷰 유지 방법이 제시되어야 한다. 그러나 일반적인 3 단계 구조를 적절히 분산되어 있는 환경에 적응할 경우 사용자의 질의에 해당하는 정보를 추출할 수 있는 방법, 네트워크 연결시의 지연과 네트워크의 장애 등으로 인하여 많은 시간적인 문제와 상대방에서의 잘못된 정보의 전달 등으로 인하여 사용자가 요구하는 정보를 전달할 수 없으며, 이에 따른 추가적인 비용 모델이 산정하여야 한다. 이러한 이유로 본 논문에서는 기존의 단일 3 단계 모델을 확장한 분산환경에서의 사용자 서비스와 가장 관계가 있는 계층으로 OSI 7 레이어에서 응용 계층으로 사용자 서비스와 응용 계충의 사이에서는 제공하고 있는 분산 정보 서비스에 대한 조건의 확장을 통하여 추후 고려하여야 할 분산된 네트워크 웹뷰 모델에서의 성능 및 비용분석에 대비한다.

• Journal of Digital Contents Society
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• v.9 no.3
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• pp.461-470
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• 2008

There are two methods to express natural phenomena using image processing techniques. One is the presentation of simulations for natural phenomena and the other is the display of images based on script. A lot of people used to get the display using vast data and complicated math formulas. When we get the output images in this way, we will have some problems in time and cost. In this paper, we use fluid images excluding using the complicated math formulas, programming, and taking pictures to present the natural phenomena. We construct the library to express the natural phenomena effectively using 2D images and simulation of fog for the background of oriental painting in 3D space.

• Aerospace Engineering and Technology
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• v.1 no.1
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• pp.135-140
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• 2002

The position and trajectory of in-flight rocket are important informations to determine the flight safety of rocket. In general tracking system, radar and transponder are used to acquire position information. Rocket position and trajectory can be determined by using RF communication between ground station and in-flight rocket and antenna position data. Onboard transponder system is composed of RF receiving part, RF transmitting one, decoder and single TX/ RX antenna. Therefore circulator is necessary for minimizing RF signal interference. In this paper, the radar transponder system was developed to track the trajectory and position of KSR-Ⅲ by using radar.

• Archives of design research
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• v.17 no.3
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• pp.71-80
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• 2004

The culture industrial design classification is the major factor to develop the various potential abilities, promote a new value to change and maximize the competitiveness of industry and the nation. Accordingly it is important to comprehensively understand and recognize the changing of this new design paradigm with its structural contents. In order to have universality data need to be made a classification system in advance for the policy, strategy, analysis indicator and assessing the culture industrial design classification. This study build CIDC that structure divided into three sections(A,B,C) with divisions(medium), classes(small) and groups(specific field) of numeric code from "01" or "001" and increasing their numbers. CIDC is set up in order to search for differences and referential character through comparisons with design-related classification systems as well as making a role of the basic under data for this field.c under data for this field.

• Annual Conference of KIPS
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• 2019.10a
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• pp.958-961
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• 2019

Convolutional neural network(CNN)의 등장으로 얼굴 표현 인식 연구는 많은 발전을 이루었다. 그러나, 기존의 CNN 접근법은 미리 학습된 훈련모델에서 Multiple-level 의 의미적 맥락을 포함하지 않는 Attention-embedded 문제가 발생한다. 사람의 얼굴 감정은 다양한 근육의 움직임과 결합에 기초하여 관찰되며, CNN 에서 딥 레이어의 산출물로 나온 특징들의 결합은 많은 서브샘플링 단계를 통해서 class 구별와 같은 의미 정보의 손실이 일어나기 때문에 전이 학습을 통한 올바른 훈련 모델 생성이 어렵다는 단점이 있다. 따라서, 본 논문은 Backbone 네트워크의 Multi-level 특성에서 Channel-wise Attention 통합 및 의미 정보를 포함하여 높은 인식 성능을 달성하는 Densely Backwarnd Attention(DBA) CNN 방법을 제안한다. 제안하는 기법은 High-level 기능에서 채널 간 시멘틱 정보를 활용하여 세분화된 시멘틱 정보를 Low-level 버전에서 다시 재조정한다. 그런 다음, 중요한 얼굴 표정의 묘사를 분명하게 포함시키기 위해서 multi-level 데이터를 통합하는 단계를 추가로 실행한다. 실험을 통해, 제안된 접근방법이 정확도 79.37%를 달성 하여 제안 기술이 효율성이 있음을 증명하였다.

• The KIPS Transactions:PartC
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• v.18C no.6
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• pp.413-422
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• 2011

Overlay network is a ready-to-use solution to enable new network functionality with existing Internet connectivity intact. This paper introduces a network service which helps users easily compose their own service overlay networks through software-defined networks. We look into the structure of service gateway which enables 1 Gbps packet processing on composed overlay networks. We also provide examples for the way of composing service overlay for support multicast applications. Experiment results carried over the KREONET (Korea Research Environment Open NETwork) show the forwarding performance of the service gateway.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.30 no.3
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• pp.236-242
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• 2019

Ultra-wideband(UWB) is a technology that can transmit and receive signals at high speeds using a very short signal of wideband of several GHz, and has been recently used in the field of radar technology. Impulse radio(IR)-UWB radar is used in the field of motion recognition with high resolution. In this work, we studied motion recognition using IR-UWB radar. We constructed a development environment to acquire data about motion and implemented a signal processing algorithm for performance enhancement. Based on the signal processing result, the performance was verified through feature extraction and learning of motion.

• Journal of Space Technology and Applications
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• v.2 no.2
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• pp.137-145
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• 2022

Space development has been independently performed by space agencies in each country. This causes redundant development for individual function, resulting in waste of space resources. Accordingly, Interagency Operations Advisory Group (IOAG) was established for standardization with mutual agreement between international organizations, and space resources can be used efficiently between space agencies through cross-support. IOAG define Service Catalog#1, #2, and #3, according to the network layer. In this technical paper, the background and main contents of the IOAG Service Catalog, and the application plan for domestic space development will be discussed.

• Journal of the Korea Computer Graphics Society
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• v.27 no.5
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• pp.73-79
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• 2021

Recently, in the field of computer animation, a method for generating motion using deep learning has been studied away from conventional finite-state machines or graph-based methods. The expressiveness of the network required for learning motions is more influenced by the diversity of motion contained in it than by the simple length of motion to be learned. This study aims to find an efficient network structure when the types of motions to be learned are diverse. In this paper, we train and compare three types of networks: basic fully-connected structure, mixture of experts structure that uses multiple fully-connected layers in parallel, recurrent neural network which is widely used to deal with seq2seq, and transformer structure used for sequence-type data processing in the natural language processing field.

• Journal of KIISE:Computer Systems and Theory
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• v.29 no.6
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• pp.307-317
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• 2002

In this paper we propose a new mesh reconstruction scheme that produces a displaced subdivision surface directly from unorganized points. The displaced subdivision surface is a new mesh representation that defines a detailed mesh with a displacement map over a smooth domain surface, but original displaced subdivision surface algorithm needs an explicit polygonal mesh since it is not a mesh reconstruction algorithm but a mesh conversion (remeshing) algorithm. The main idea of our approach is that we sample surface detail from unorganized points without any topological information. For this, we predict a virtual triangular face from unorganized points for each sampling ray from a parameteric domain surface. Direct displaced subdivision surface reconstruction from unorganized points has much importance since the output of this algorithm has several important properties: It has compact mesh representation since most vertices can be represented by only a scalar value. Underlying structure of it is piecewise regular so it ran be easily transformed into a multiresolution mesh. Smoothness after mesh deformation is automatically preserved. We avoid time-consuming global energy optimization by employing the input data dependant mesh smoothing, so we can get a good quality displaced subdivision surface quickly.