• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1232-1233
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• 2011

본 개발은 에너지 수요관리, 전력품질감시, 전기안전감시 및 설비감시가 가능한 정보통신실 기반설비용 전원분배장치 운용 S/W 개발에 관한 것으로써, 분전반 단위의 전력 및 에너지 관련정보, 전기기기 및 에너지 상태 정보, 장치 상태 정보를 실시간으로 취득 원격에서 감시 및 분석/통계 할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3224-3242
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• 2020

Internet of Things (IoT) networks composed of a large number of sensors and actuators generate a huge volume of data and control commands, which should be enforced by strong data reliability. The end-to-end data reliability of IoT networks is an essential industrial enabler. Blockchain technology can provide strong data reliability and integrity within IoT networks. We designed a lightweight end-to-end blockchain network that applies to common IoT applications. Its enhanced modular architecture and lightweight consensus mechanism guarantee its practical applicability for general IoT applications. In addition, the proposed blockchain network is highly software compatible because it adopts the Hyperledger development environment. Directly embedding the proposed blockchain middleware platform in small computing devices proves its practicability.

• The Transactions of the Korea Information Processing Society
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• v.4 no.2
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• pp.531-542
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• 1997

In this paper,we propose applicable methodology using simple scenarios for the architecture and its procedure of sibnalling at the NNI for B-ISDN in Korea.By the recent technologies,the flexible and intergrated networks of the future are designed, and the infrastructure hardware and software of those networks are sdsigned based on the modular concepts.Also the ATM-based B-ISDN must be able to support the broadband transmission function for providing various services with diverse bandwidths such as multimedia serivce and the function for controlling services and bandwidth is necessaty.Currently,the trquirements at the NNI for B-ISDN in korea atr based on the network mode connection type which is connection setup strucuture.They must show the upper/lower layer conformance to have the flexibility in new services and guarantee the interoperability between the network functions.But,network functions and protocol specifications described in this paper are limity to the first stage target system in korea.Therefore,we present the modular architecture which is corresponding to the B-ISUP of HAN/B-ISDN with those characteristics.Currently applicable architecture and procedure for B-ISUP and the functions of expandable modular architecture are also proposed.

• The Transactions of the Korea Information Processing Society
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• v.4 no.9
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• pp.2259-2268
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• 1997

Multistage interconnection networks(MINs) provide a high-bandwidth communication between processors and/or memory modules in a cost-effective way. In this paper, we propose a class of multipath MINs, called the Augmented Modified Delta(AMD) network, and analyze its performance and reliability. The salient features of the AMD network include fault-tolerant capability, modular structure, and high performance, which are essential for real-time parallel/distributed processing environments. The class of the AMD network retains well-known characteristics of the Kappa network, but it's design procedure is more systematic. Like Delta networks, all the AMD networks are topologically equivalent with each other.

• Journal of Communications and Networks
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• v.17 no.2
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• pp.100-109
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• 2015

Mobile phone carriers face challenges from three synergistic dimensions: Wireless, social, and mobile. Despite significant advances that have been made about social networks and human mobility, respectively, our knowledge about the interplay between two layers remains largely limited, partly due to the difficulty in obtaining large-scale datasets that could offer at the same time social and mobile information across a substantial population over an extended period of time. In this paper, we take advantage of a massive, longitudinal mobile phone dataset that consists of human mobility and social network information simultaneously, allowing us to explore the impact of human mobility patterns on the underlying social network. We find that human mobility plays an important role in shaping both local and global structural properties of social network. In contrast to the lack of scale in social networks and human movements, we discovered a characteristic distance in physical space between 10 and 20 km that impacts both local clustering and modular structure in social network. We also find a surprising distinction in trajectory overlap that segments social ties into two categories. Our results are of fundamental relevance to quantitative studies of human behavior, and could serve as the basis of anchoring potential theoretical models of human behavior and building and developing new applications using social and mobile technologies.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.330-332
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• 1998

모듈형 신경망은 인간의 정보처리 시스템이 고유한 목적이나 기능을 가진 모듈로 되어있다는 신경과학의 연구에 기반하여 제안된 모델이다. 하지만 모듈의 크기와 기능모듈간의 연결구조를 결정하는데 큰 어려움이 있다. 본 논문에서는 간단한 규칙으로 복잡한 구조를 생성해 낼 수 있는 린덴마이어-시스템을 이용하여 모듈형 신경망의 크기 및 연결구조를 만들어내는 과정에 대하여 고찰해본다. 또한, 신경망의 생성규칙을 유전자형으로 표현하고 진화 알고리즘을 적용하여 주어진 문제를 해결할 수 있는 최적의 규칙을 찾아내는 방법을 제안한다. 본 논문에서 제안한 유전자형과 진화연산은 최적화된 문법규칙 및 신경망의 구조를 만들어 낼 수 있는 가능성을 보여준다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.05a
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• pp.17-20
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• 2000

본 논문에서는 간단한 비선형 시냅스 회로를 이용하여 온 칩 학습기능을 포함한 모듈 칩을 구현하였다. 학습 회로는 MEBP(modified error back-propagation) 학습 규칙을 적용하여 구현하였으며, 제안된 회로는 표준 CMOS 공정으로 구현되었고, MOSIS AMI $1.5\mu\textrm{m}$공정 HSPICE 파라메터를 이용하여 그 동작을 검증하였다. 구현된 모듈 칩은 온 칩 학습기능을 가진 확장 가능한 신경회로망 칩으로 대규모의 FNNs(feedforwad neural networks) 구현에 매우 적합하리라 예상된다.

• Korean Journal of Cognitive Science
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• v.10 no.1
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• pp.13-24
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• 1999

In this paper, we propose a classifier based on modular networks using an unsupervised learning method. The structure of each module is designed through stochastic analysis of input data and each module classifier data independently. The result of independent classification of each module and a measure of the nearest distance are integrated during the final data classification phase to allow more precise c classification. Computation time is decreased by deleting modules that have been classified to be incorrect during the final classification phase. Using this method. a neural network sharing the best performance was implemented without considering. lots of of variables which can affect the performance of the neural network.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.30A no.9
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• pp.71-79
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• 1993

This paper proposes a new test pattern generation methodology for combinational logic circuits using neural networks based on a modular structure. The CUT (Circuit Under Test) is described in our gate level hardware description language. By conferring neural database, the CUT is compiled to an ATPG (Automatic Test Pattern Generation) neural network. Each logic gate in CUT is represented as a discrete Hopfield network. Such a neual network is called a gate module in this paper. All the gate modules for a CUT form an ATPG neural network by connecting each module through message passing paths by which the states of modules are transferred to their adjacent modules. A fault is injected by setting the activation values of some neurons at given values and by invalidating connections between some gate modules. A test pattern for an injected fault is obtained when all gate modules in the ATPG neural network are stabilized through evolution and mutual interactions. The proposed methodology is efficient for test generation, known to be NP-complete, through its massive paralelism. Some results on combinational logic circuits confirm the feasibility of the proposed methodology.

• Journal of Communications and Networks
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• v.7 no.1
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• pp.54-64
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• 2005

This paper presents an advanced architecture for a traffic generator capable of producing ATM traffic streams according to fully general semi-Markovian stochastic models. The architecture employs a basic traffic generator platform and enhances it by adding facilities for 'driving' the cell generation process through high-level specifications. Several kinds of optimization are employed for enhancing the software's speed to match the hardware's potential and for ensuring that traffic streams corresponding to models with a wide range of parameters can be generated efficiently and reliably. The proposed traffic generation procedure is highly modular. Thus, although this paper deals with ATM traffic, the main elements of the architecture can be used equally well for generating traffic loads on other networking technologies, IP-based networks being a notable example.