• Proceedings of the KIEE Conference
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• 2001.04a
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• pp.69-71
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• 2001

In this paper, we propose a new communication protocol for remote metering in electric power meters, also define necessary functions for it. The new protocol is based on the international metering protocol. IEC 1107, 62056, DNP 3.0. This protocol has 4-layered architecture, which has physical. data link, lower application, and upper application layers. For each layer, definitions and detailed functions are introduced. The protocol will be used for communication between the meters and the metering computer(or AMR system). KEPCO (Korea Electric Power Corporation) plans to adopt this protocol as a part of a new metering standard for electric power meters.

• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.1149-1150
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• 2006

This paper describes the development of software platform of embedded controller for Fuel Cell System. The fuel cell system is complex which needs an embedded controller to execute multiple tasks. The software organized by modualarization and layered architecture can perform complicated control algorithms. By development of the software platform with architectural software, the fuel cell system's embedded controller has a reusability and a scalability. And the developed software platform guarantees a execution of multiple tasks.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10c
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• pp.272-274
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• 2000

본 논문에서는 자율 주행 로봇을 위한 계층화된 소프트웨어 구조 제안한다. 제안된 소프트웨어 구조에서는 데이터 종류를 추상화 단계에 따라 수치형 데이터, 명제형 데이터, 사실형 데이터로 분류했다. 그리고, 사용하는 데이터의 종류에 따라 계층을 분류해서, 실행 계층, 제어 계층, 추론 계층을 구성하고 각 계층의 기능을 정의했다. 또한 각 계층별 데이터 특성에 따른 고유의 데이터 처리 방법을 적용하였으며, 처리 결과에 대한 계층간 연동 구조에 대해서도 제안한다. 이러한 계층의 명확한 구분을 통하여 실시간 문제이면서도 복잡한 자료 처리 구조를 가지는 자율 주행 로봇의 소프트웨어 구조를 체계화하였고, 각 계층별 소프트웨어를 콤포넌화하여 재 사용성을 높이게 되었다.

• Proceedings of the IEEK Conference
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• summer
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• pp.57-60
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• 2004

Next generation wireless network is evolving toward IP-based network that can various provide multimedia services. A challenge in wireless mobile Internet is support of quality of service over wireless access networks. DiffServ architecture is proposed for evolving wireless mobile Internet. In this paper we propose an algorithm for optimal buffer partitioning which requires the minimal channel capacity to satisfy the QoS requirements of input traffic. We used a partitioned buffer with size B to serve a layered traffic at each DiffServ router. We consider a traffic model with a single source generates traffic having J $(J\geq2)$ quality of service (QoS) classes. QoS in this case is described by loss probability $\varepsilon_j$. for QoS class j. Traffic is admitted or rejected based on the buffer occupancy and its service class. Traffic is generated by heterogeneous Markov-modulated fluid source (MMFS).

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.12
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• pp.116-123
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• 1994

A modified Hybrid learning rule(MHLR) is proposed, which is derived from combining the Back Propagation algorithm that is known as an excellent classifier with modified Hebbian by changing the orginal Hebbian which is a good feature extractor. The network architecture of MHLR is multi-layered neural network. The weights of MHLR are calculated from sum of the weight of BP and the weight of modified Hebbian between input layer and higgen layer and from the weight of BP between gidden layer and output layer. To evaluate the performance, BP, MHLR and the proposed Hybrid learning rule (HLR) are simulated by Monte Carlo method. As the result, MHLR is the best in recognition rate and HLR is the second. In learning speed, HLR and MHLR are much the same, while BP is relatively slow.

• Proceedings of the Korea Society for Simulation Conference
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• 2005.11a
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• pp.3-7
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• 2005

The structure of $IP^2$(IP based-IMT Network Platform) as ubiquitous platform is three-layered model : Middleware including NCPF(Network Control Platform) and SSPF(Service Support Platform), IP-BB(IP-Backbone), Access network including Sensor network. A mobility management(MM) architecture in NCPF is proposed for $IP^2$. It manages routing information and location information separately. The existing method of multicast control in $IP^2$ is Remote Subscription. But Remote Subscription has problem that should be reconstructed whole Multicast tree when sender moves. To solve this problem, we propose a way to put Multicast Manager in NCPF.

• Journal of Intelligence and Information Systems
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• v.1 no.1
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• pp.135-148
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• 1995

Neural Networks have been advocated as an alternative to statistical forecasting methods. However, the empirical evidences are not consistent. In the present experiments, multi-layered perceptron (MLP) are adopted as approximator to the time series generating processes. To prevent the MLP from being overfitted to the given time series, the information obtained from ARMA modeling is used to determine the architecture of MLP. The proposed approach was tested empirically using the subsamples of the 111 time series used in the first Markridakis Competition. The forecasting results were analyzed to find out the factors that affect the performance of MLP. The experimental results show that the proposed approach outperforms ARMA models in terms of fitting and forecasting accuracy. In addition, it is found that the use of deseasonalized data improves the forecasting accuracy of MLP.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.636-642
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• 2021

Vehicular Ad hoc Networks (VANET's) are gaining popularity in research community with every passing year due to the key role they play in Intelligent Transportation System. Their primary objective is to provide safety, but their potential to offer a variety of user-oriented services makes them more attractive. The biggest challenge in providing all these services is the inherent characteristics of VANET itself such as highly dynamic topology due to which maintaining continuous communication among vehicles is extremely difficult. Here comes the importance of routing solutions which traditionally are designed using strict layered architecture but fail to address stringent QoS requirements. The paradigm of cross-layer design for routing has shown remarkable performance improvements. This paper aims to highlight routing challenges in VANET, limitations of single-layer solutions and presents a survey of cross-layer routing solutions that utilize the information from the MAC layer to improve routing performance in VANET.

• The Bulletin of The Korean Astronomical Society
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• v.44 no.2
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• pp.75.1-75.1
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• 2019

We introduce a novel method for reconstructing the projected dark matter mass maps of merging galaxy clusters by applying the convolutional neural network (CNN) to their weak lensing maps. We generate synthesized grayscale images from given weak lensing maps that preserve their averaged galaxy ellipticity. We then apply them to multi-layered CNN with architectures of alternating convolution and trans-convolution filters to predict the mass maps. We train our architecture with 1,000 Subaru/Suprime-Cam mock weak lensing maps, and our method have better mass map prediction than the Kaiser-Squires method with the following three aspects: (1) better pixel-to-pixel correlation, (2) more accurate finding of density peak position, and (3) free from mass-sheet degeneracy. We also apply our method to the HST weak lensing map of the El Gordo cluster and compare our result to the previous studies.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.176-177
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• 2022

현재의 메타버스 서비스는 메타버스 학술대회, 메타버스 입학식 등과 같이 단순히 실제 세계의 대체품 역할만을 수행하고 있으며 앞으로의 메타버스는 실제 세계와 가상 세계가 융합된 실·가상 융합형 메타버스 서비스로 발전할 것이다. 실제 세계와 가상 세계가 융합하기 위해서는 실제 세계에 존재하는 다양한 물리적 개체의 정보가 가상 세계로 반영되어야 하며 메타버스 서비스의 규모가 증가함에 따라 높은 확장성을 지원하는 통신 기술이 요구된다. 본 논문에서는 높은 확장성의 통신 미들웨어인 DDS와 시간 확정적 전송을 보장하는 TSN 표준을 융합하여 메타버스 서비스가 요구하는 방대한 데이터를 시간 확정적으로 전송할 수 있는 DDS-TSN 계층 구조를 설계한다.