• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.7
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• pp.773-778
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• 2014

IDS(Intrusion Detection System) can be used as a countermeasure for blackhole attacks which cause degrade of transmission performance by causing of malicious intrusion to routing function of networks. In this paper, effects of IDS for transmission performance based on mobility patterns is analyzed for MANET(Mobile Ad-hoc Networks), a suggestion for effective countermeasure is considered. Computer simulation based on NS-2 is used in performance analysis, VoIP(Voice over Internet Protocol) as an application service is chosen for performance measure. MOS(Mean Opinion Score), call connection ratio and end-to-end delay is used as performance parameter.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.6
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• pp.646-650
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• 2014

In this paper, in order to avoid the deterioration of the pattern classification performance which results from the curse of dimensionality, we propose a new feature selection method. The newly proposed feature selection method is based on Fuzzy C-Means clustering algorithm which analyzes the data points to divide them into several clusters and the concept of a function with fuzzy numbers. When it comes to the concept of a function where independent variables are fuzzy numbers and a dependent variable is a label of class, a fuzzy number should be related to the only one class label. Therefore, a good feature is a independent variable of a function with fuzzy numbers. Under this assumption, we calculate the goodness of each feature to pattern classification problem. Finally, in order to evaluate the classification ability of the proposed pattern classifier, the machine learning data sets are used.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.97-104
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• 2023

In this paper, we propose a harmful bird repellent system using directional speakers. Existing sound systems for the extermination of harmful birds have the disadvantage of reducing effectiveness due to the learning effect of birds due to problems caused by noise pollution and monotonous sounds. In this paper, directional speakers are used to minimize surrounding noise. In addition, the up-down and left-right angles of the speaker driving device were freely adjusted to maximize usability. Additionally, the problem of performance degradation due to learning effects was solved by using various scanning patterns. In the future, we plan to develop a platform capable of central control by applying remote control functions and a deep learning model that can recognize bird species.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.5C
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• pp.486-492
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• 2003

The vigilance threshold of conventional fuzzy ART algorithm decide whether to permit the mismatch between any input pattern and stored pattern. If the vigilance threshold was large, despite of little difference among input and stored patterns, the input pattern may be classified to new category. On the other hand, if the vigilance threshold was small, the similarity between two patterns may be accepted in spite of lots of difference and the input pattern are classified to category of the stored pattern. Therefore, the vigilance threshold for the image recognition must be experientially set for the good result. Moreover, it may occur in the fuzzy ART algorithm that the information of stored patterns is lost in the weight-adjusting process and the rate of pattern recognition is dropped. In this paper, I proposed the enhanced fuzzy ART algorithm that supports the dynamical setting of the vigilance threshold using the generalized intersection operator of fuzzy logic and the weight value being adaptively set in proportional to the current weight change and the previous weight by reflecting the frequency of the selection of winner node. For the performance evaluation of the proposed method, we applied to the recognition of container identifiers from shipping container images. The experiment showed that the proposed method produced fewer clusters than conventional ART2 and fuzzy ART algorithm. and had tile higher recognition rate.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.11
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• pp.256-264
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• 2020

Industrial Wireless Sensor Networks (IWSNs) is exploited to achieve various objectives such as improving productivity and reducing cost in the diversity of industrial application, and it has requirements such as low-delay and high reliability packet transmission. To accomplish the requirement, the network manager performs graph construction and resource allocation about network topology, and determines the transmission cycle and path of each node in advance. However, this network management scheme cannot treat mobile devices that cause continuous topology changes because graph reconstruction and resource reallocation should be performed as network topology changes. That is, despite the growing need of mobile devices in many industries, existing scheme cannot adequately respond to path failure caused by movement of mobile device and packet loss in the process of path recovery. To solve this problem, a network management scheme is required to prevent packet loss caused by mobile devices. Thus, we analyse the location and movement cycle of mobile devices over time using machine learning for predicting the mobility pattern. In the proposed scheme, the network manager could prevent the problems caused by mobile devices through performing graph construction and resource allocation for the predicted network topology based on the movement pattern. Performance evaluation results show a prediction rate of about 86% compared with actual movement pattern, and a higher packet delivery ratio and a lower resource share compared to existing scheme.

• Journal of the Society of Disaster Information
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• v.18 no.2
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• pp.290-305
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• 2022

Purpose: Currently, port facility informatization technology is focused on the planning and design phases, so the necessity of research and technology development on the port facility maintenance system based on life cycle-level information is emphasized. Method: Based on the maintenance history data of port facilities and facility operation information, from the perspective of the life cycle of port facilities, the system is configured to enable maintenance decisions for port facilities through analysis of aging patterns, performance degradation prediction models, and risk analysis and proposed a method of expressing information. Result: A function was developed to simultaneously display the SOC performance evaluation and the comprehensive performance evaluation developed in this study, so that mid-to long-term maintenance and reinforcement and facility expansion can be applied and comparatively judged. Conclusion: The integrated port performance system developed in this study induces and supports the risk minimization of port facility management by proactively promoting appropriate repair and reinforcement measures through historical and operational information on port facilities.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.8 no.2
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• pp.67-80
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• 1998

논문에서는 프레임릴레이 프로토콜을 사용하는 암호 통신 시스템에 적합한 키 스트림 동기 방식을 제안하였다. 제안된 주소영역의 확장 비트를 이용한 키 스트림 동기 방식은 단위 측정 시간 동안 측정된 프레임릴레이 프로토콜의 주소영역의 확장 비트 정보와 플래그 패턴의 수신률을 이용하여 문턱값보다 적은 경우에 동기 신호와 세션 키를 전송하므로써 종래의 주기적인 동기 방식에서 전송 효율성 저하와 주기적인 상이한 세션 키 발생, 다음 주김까지 동기 이탈 상태로 인한 오류 확산 등의 단점을 해결하였다. 제안된 알고리즘을 데이터 링크 계층의 처리기능을 최소화하여 패킷 망의 고속화가 가능하도록 설계된 프레임릴레이 프로토콜에서 서비스되는 동기식 스트림 암호 통신 시스템에 적용하여 slip rate $10^{-7}$의 환경에서 주기가 Isec인 주기적인 동기 방식에서 요구되는 9.6*10/ sup 6/비트에 비해 6.4*$10^{5}$비트가 소요됨으로써 전송율 측면에서의 성능 향상과 오복호율과 오복호율과 오복호 데이터 비트 측면에서 성능 향상을 얻었다.다.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06c
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• pp.166-171
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• 1994

기존의 음성인식기들은 일반적으로 간단하면서도 성능이 우수한 계층별 학습에 의해서 설계된다. 계층별 학습은 통계적 패턴인식에서의 ML 추정기법처럼 모델간의 독립성이 보장되고 무한한 양의 학습데이타가 주어진다는 가정에 기초하고 있다. 그러나, 대상어휘집합에 음운학적으로 유사한 어휘가 많이 포함되어 있는 인식문제에 있어서는 모델간의 독립성이 보장되지 못하고, 실제 주어지는 grktmqepdlk의 양도 제한되므로 기존의 합습알고리즘에는 한계가 있다. 따라서 본 논문에서는 그러한 가정상의 문제점으로 생기는 인식기의 성능저하를 개선할 수 있는 변별력 있는 학습알고리즘들을 검토하고 그의 일반적인 접근방법들에 대해서 논의한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.3
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• pp.319-327
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• 2012

In this paper, we present a sign language recognition model which does not use any wearable devices for object tracking. The system design issues and implementation issues such as data representation, feature extraction and pattern classification methods are discussed. The proposed data representation method for sign language patterns is robust for spatio-temporal variances of feature points. We present a feature extraction technique which can improve the computation speed by reducing the amount of feature data. A neural network model which is capable of incremental learning is described and the behaviors and learning algorithm of the model are introduced. We have defined a measure which reflects the relevance between the feature values and the pattern classes. The measure makes it possible to select more effective features without any degradation of performance. Through the experiments using six types of sign language patterns, the proposed model is evaluated empirically.

• Composites Research
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• v.35 no.6
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• pp.469-476
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• 2022

In this paper, the microwave absorbing characteristics after the impact of the radar-absorbing structure (RAS) consisting of periodic pattern sheet (PPS) and glass fiber-reinforced plastic (GFRP) were experimentally investigated. The fabricated RAS effectively absorbed the microwave in the X-band (8.2-12.4 GHz). In order to induce the damage to the RAS, a low-velocity impact test with various impact energy of 15, 40, and 60 J was conducted. Afterward, the impact damage was observed by using visual inspection, non-destructive test, and image processing method. Moreover, the absorbing performance of intact and damaged RAS was measured by the free-space measurement system. The experiment results revealed that the delamination damage from the impact energy of 15 J did not considerably affect the microwave absorbing performance of the RAS. However, fiber breakage and penetration damage with a relatively large damaged area were occuured when the impact energy was increased up to 40 J and 60 J, and these failures significantly degraded the microwave absorbing characteristics of the RAS.