• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.10
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• pp.130-138
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• 1996

In this paper, we propose a neural network which detect edges of different orentation and spatial frequency in arbitrary image data. We constructed the proposed neural network iwth two different types neural network. A diffusion network performs the gaussian operation efficiently by the diffusion process. And the spatial difference network has specially designed connections suitble to detect the contours of a specific oriention. Simulation results showed that the proposed neural network can extract the edges of selected orientation efficiently by applying the neural network to a test pattern and the real image.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.249-259
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• 2022

Project management and deployment has gone through a long journey from traditional and agile to continuous integration, continuous deployment and continuous monitoring. Software industry benefited with the latest buzzword in the development process, DevOps that not only escalates software productivity but at the same time enhances software quality. But the implementation and assessment of DevOps practices is expository as there are no guidelines to assess and improvise DevOps application in software industries. Hence, there was a need to develop a hybrid model to assist software practitioners in DevOps implementation. The intention behind this paper is to implement the already proposed DevOps hybrid model using suggested tool chains including Jenkins, Selenium, GitLab, Ansible and Nagios automation tools through Jenkins project management environment and plugins. To achieve this implementation objective, a java application is developed with a web-based graphical interface. Further, in this paper, different challenges and benefits of Jenkins implementation shall also be outlined. The paper also presents the effectiveness of DevOps based Model implementation in software organizations. The impact of considering other automation tools and models can also be considered as a part of further research.

• The Transactions of the Korea Information Processing Society
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• v.3 no.3
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• pp.449-459
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• 1996

The main goal of this paper is to introduce a novel definition for fuzzy mathematical morphology and a neural network implementation. The generalized- mean operator plays the key role for the definition. Such definition is well suited for neural network implementation. The first stage of the shared-weight neural network has adequate architecture to perform morphological operation. The shared- weight network performs classification based on the features extracted with the fuzzy morphological operation defined in this paper. Therefore, the parameters for the fuzzy definition can be optimized using neural network learning paradigm. Learning rules for the structuring elements, degree of membership, and weighting factors are precisely described. In application to handwritten digit recognition problem, the fuzzy morphological shared-weight neural network produced the results which are comparable to the state-of art for this problem.

• Journal of the military operations research society of Korea
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• v.11 no.1
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• pp.55-78
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• 1985

This thesis provides the implementation of a simulation model for a particular Local Area Network (LAN), employs carrier sense multiple access (CSMA) bus architecture, which implements functions of the Stock Point Logistics Integrated Communication Environment (SPLICE). First, specifications of the model are identified based on the given functional specification and operating system design. Then the approach taken for modeling and programming in GPSS is discussed. Finally, the program and results of the simulation run are provided.

• MALSORI
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• no.50
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• pp.123-137
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• 2004

In this paper, we consider the implementation of connected digit recognition system using tree structured lexicon model. To implement efficiently the fixed or variable length digit recognition system, finite state network (FSN) is required. We merge the word network algorithm that implements the FSN with lexical tree search algorithm that is used for general speech recognition system for fast search and large vocabulary systems. To find the efficient modeling of digit recognition system, we investigate some performance changes when the lexical tree search is applied.

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.10
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• pp.1591-1597
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• 1989

Through the matematical alaysis of EX-NOR logic relation between the input vector and the memory matrix, we propose a new method for optical implementation of the bipolar Hopfield neural network model based on the optical vector-matrix multiplier.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.30A no.12
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• pp.10-17
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• 1993

In this paper, CCF(Call Control Function), functional entity for basic call processing in SSP(Service Switching Point), is designed and implemented. This functional entity can provide the IN(Intelligent Network) services which are included in CCITT CS-1(Capability Set-1), near-term process for IN Architecture. UIO(Unique Input Output) method, one of the thest sequence generation methods for the finite state machine, is used for the implementation test of this functional entity.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2631-2633
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• 2001

This paper describes the implementation of CUG(closed user group) internet contents for high speed powerline communication subscriber network.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.70.5-70
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• 2001

This paper proposes a new Internet based control concept & design method and implementation of LonWorks network system for remote intelligent control. The experimental network system using i.LON Web server is designed and fabricated. It is also verified that the developed control modules with LonTalk protocol have available, interoperable, and reliable performance characteristics from the experimental results. Especially, the results provide a available technical data for remote home, building & plant automation control.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.332-336
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• 1991

Network management is responsible for gathering information on the usage of the network media by the network devices, ensuring the correct operation of the network, and providing reports. MAP network management must provide the high reliability of the media and signaling method, even in very harsh environments, providing a very low bit error rate and minimum number of retransmission. In this paper, we analysed the framework of OSI management and MAP network management and discussed the implementation method of fault management and remote management mechanism in the Mini-MAP controller developed for IBM-PC.