• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.79-82
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• 2019

This study aims to design and implement automated SEO tools that has applied the artificial intelligence techniques for search engine optimization (SEO; Search Engine Optimization). Traditional Search Engine Optimization (SEO) on-page optimization show limitations that rely only on knowledge of webpage administrators. Thereby, this paper proposes the metadata generation system. It introduces three approaches for recommending metadata; i) Downloading the metadata which is the top of webpage ii) Generating terms which is high relevance by using bi-directional Long Short Term Memory (LSTM) based on attention; iii) Learning through the Generative Adversarial Network (GAN) to enhance overall performance. It is expected to be useful as an optimizing tool that can be evaluated and improve the online marketing processes.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2006.05a
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• pp.213-217
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• 2006

An intelligent performance diagnostic program using the Neural Network was proposed for PW206C turboshaft engine. It was selected as a power plant for the tilt rotor type Smart UAV (Unmanned Aerial Vehicle) which has been developed by KARI (Korea Aerospace Research Institute). For teaming the NN, a BPN with one hidden, one input and one output layer was used. The input layer had seven neurons of variations of measurement parameters such as SHP, MF, P2, T2, P4, T4 and T5, and the output layer used 6 neurons of degradation ratios of flow capacities and efficiencies for compressor, compressor turbine and power turbine. Database for network teaming and test was constructed using a gas turbine performance simulation program. From application results for diagnostics of the PW206C turboshaft engine using the learned networks, it was confirmed that the proposed diagnostics algorithm could detect well the single fault types such as compressor fouling and compressor turbine erosion.

• Tribology and Lubricants
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• v.26 no.3
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• pp.175-183
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• 2010

It is not too much to say that, at the beginning of engine development, the most important areas for a good engine concept design is the lubrication system design. So, between right after finishing concept design and before procuring the engine, it is necessary to carry out the system lubrication analysis for the initially designed lubrication system and the related lubricating parts. Therefore, in this paper, it is to describe the results of a design review carried out the numerical net work analysis on the engine bearings and the lubrication system of an initially designed 2.0 L DOHC engine.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.11
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• pp.1580-1588
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• 2016

Recently, as the proliferation of mobile smart devices, multimedia content sharing technologies between mobile smart devices have provided. For efficient content sharing in wireless networks, the hierarchical streaming network has been proposed. However, member devices in a network group experience frequent delay while playing multimedia content files because of excessive network resource occupation between a relay and member devices. In this paper, we propose an efficient multimedia streaming relay method using media buffer control to reduce network congestion during streaming from the relay device to the member devices. We also measured the number of buffering and buffering time of the proposed relay engine and compared them with the performance of the existing relay engine.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2008.03a
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• pp.187-194
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• 2008

Because the types and severities of most engine faults are various and complex, it is not easy that the conventional model based fault detection approach like the GPA(Gas Path Analysis) method can monitor all engine fault conditions. Therefore this study proposed newly a diagnostic algorithm for isolating and diagnosing effectively the faulted components of the smart UAV propulsion system, which has been developed by KARI(Korea Aerospace Research Institute), using the fuzzy logic and the neural network algorithms. A precise performance model should be needed to perform the model-based diagnostics. The based engine performance model was developed using SIMULINK. For the work and mass flow matching between components of the steady-state simulation, the state-flow library was applied. The proposed steady-state performance model can simulate off-design point performance at various flight conditions and part loads, and in order to evaluate the steady-state performance model their simulation results were compared with manufacturer's performance deck data. According to comparison results, it was confirm that the steady-state model well agreed with the deck data within 3% in all flight envelop. The diagnosis procedure of the proposed diagnostic system has the following steps. Firstly after obtaining database of fault patterns through performance simulation, then secondly the diagnostic system was trained by the FFBP networks. Thirdly after analyzing the trend of the measuring parameters due to fault patterns, then fourthly faulted components were isolated using the fuzzy logic. Finally magnitudes of the detected faults were obtained by the trained neural networks. Because the detected faults have almost same as degradation values of the implanted fault pattern, it was confirmed that the proposed diagnostic system can detect well the engine faults.

• The KIPS Transactions:PartC
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• v.11C no.7 s.96
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• pp.937-950
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• 2004

In this paper, we present the design and implementation of new execution environment named Customizable Architecture for Flexible Execution Environment(CAFEs) that supports the mechanism of protocol customization and service referencing. We introduce a new concept as micro protocols and active services to enhance software reusability. Micro protocol represents a specific algorithm or functionality of existing network protocol and the active service is in charge of binding legacy application and releasing the active network oriented services. The pro-posed active network execution environment is made up of three parts, virtual network system, protocol and service manager, event engine. First, the virtual network system is used to connect each active nodes using virtual network channels which are based on multiple existing protocol layers. Second, the protocol and service manager is responsible for composing micro protocols and active services to develop new network proto-col and service easily. Finally, the event engine is used to detect the automatic transition of system components using event delegation model. To verify the CAFTs, we have an experiment about the delivery of web contents which are suitable for the user's terminals in the wireless Internet environment. As a result. we are able to obtain the availability of developed execution environment.

• Journal of the Korea Convergence Society
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• v.4 no.3
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• pp.43-50
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• 2013

This paper presents a model predictive control (MPC) based on a neural network (NN) model for air/fuel ration (AFR) control of automotive engines. The novelty of the paper is that the severe nonlinearity of the engine dynamics are modelled by a NN to a high precision, and adaptation of the NN model can cope with system uncertainty and time varying effects. A single dimensional optimization algorithm is used in the paper to speed up the optimization so that it can be implemented to the engine fast dynamics. Simulations on a widely used mean value engine model (MVEM) demonstrate effectiveness of the developed method.

• Journal of Advanced Marine Engineering and Technology
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• v.30 no.7
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• pp.782-790
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• 2006

The evaluation systems in SHS(Ship Handling Simulator) or ERS(Engine Room Simulator) give trainees the opportunity to feedback how they responded suggesting them the operation result by scores. If SHS and ERS are integrated each other by network to enable the synchronous training for both deck and engine officers these systems need to include inherently the function of integrated evaluation which produces the evaluation score for the team play of deck and engine officers. The integrated evaluation is effective especially when assessing the responses at emergency situation of ship or the matter of efficiency of ship operation even if assessors feel difficult in editing simulation scenarios for integrated evaluation. This study focuses on the property of integrated evaluation and considerations when editing them. It suggests also a useful procedure to estimate whether a scenario for integrated evaluation is reasonable and balanced or not based on the analysis in the proprieties and reasonabilities which are to be prepared by assessors before testing trainees or examinees.

• Proceedings of the KIEE Conference
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• 1997.07b
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• pp.672-674
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• 1997

In this paper, we study the idle speed control of the spark ignition engine. Engine idle speed control is a difficult problem because of troublesome characteristics such as severe process nonlinearities, variable time delays, time-varying dynamics and unobservable internal system states and disturbances. We investigate the intelligent control algorithms such as neural network controller and fuzzy controller for 4-cylinder 4-stroke engine.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.223-225
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• 2005

기존의 패킷 교환 네트워크는 해킹과 같은 보안 공격에 많은 취약점을 가지고 있다. 침입차단시스템 (Firewall system)과 침입탐지 시스템 (Intrusion Detection system)같은 보안 시스템이 개발되고 있지만 DOS나 Probe등을 비롯한 다양한 공격에 대해 적극적으로 대처 할 수 없다. 결과 DARPA를 비롯한 여러 기관에서 전송중인 액티브 패킷이 라우터에서 관리자의 정책을 담고 있는 코드를 실행할 수 있고 그 코드의 실행결과에 따라 라우터의 상태를 변경할 수 있는 액티브 네트워크 전반적인 구조를 제안하였다. 하지만 액티브 네트워크에서 중요한 것은 기존 네트워크와 달리 액티브 패킷이 액티브 노드의 자원에 접근함으로써 발생하게 되는 네트워크 보안이다. 따라서 액티브 노드의 NodeOs단에 Crypto engine, Integrity Engine, Authentication Engine, Authorization Engine등을 비롯한 액티브 노드 인증 및 액티브 패킷/코드 인증 보안 모듈을 둠으로써 액티브 노드 간 서로 안전한 협업적 관리를 통해 보안을 강화한다.