• Title/Summary/Keyword: Preprocessor Method

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Preprocessor Implementation of Open IDS Snort for Smart Manufacturing Industry Network (스마트 제조 산업용 네트워크에 적합한 Snort IDS에서의 전처리기 구현)

  • Ha, Jaecheol
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.5
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    • pp.1313-1322
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    • 2016
  • Recently, many virus and hacking attacks on public organizations and financial institutions by internet are becoming increasingly intelligent and sophisticated. The Advanced Persistent Threat has been considered as an important cyber risk. This attack is basically accomplished by spreading malicious codes through complex networks. To detect and extract PE files in smart manufacturing industry networks, an efficient processing method which is performed before analysis procedure on malicious codes is proposed. We implement a preprocessor of open intrusion detection system Snort for fast extraction of PE files and install on a hardware sensor equipment. As a result of practical experiment, we verify that the network sensor can extract the PE files which are often suspected as a malware.

Smart Contract Code Rewritter for Improving Safety of Function Calls (함수 호출의 안전성 향상을 돕는 스마트 계약 코드 재작성기)

  • Lee, Sooyeon;Jung, Hyungkun;Cho, Eun-Sun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.1
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    • pp.67-75
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    • 2019
  • When a Solidity smart contract has a problem in calling a function of another contract, the fallback function is supposed to be executed automatically. However, it may be are arbitrarily created, with their behaviors unknown to developers, and fallback function execution is vulnerable to exploits by attackers. in In this paper, we propose a preprocessing based method to reduce the risk with less overhead of developers'. Developers mark the intention using the newly defined keywords in this paper, and the preprocessor reduces the risk by preprocessing the conditional variables and conditional statements according to the keywords.

A study on the Development of Structural Analysis Program using Visual Basic (Visual Basic을 이용한 구조해석 프로그램 개발에 관한 연구)

  • 이상갑;장승조
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1995.10a
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    • pp.215-222
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    • 1995
  • The objective of this paper is to develop a finite element structural analysis program using VB(Visual Basic) which has been recently getting popular as development tools of application program for Windows. VB provides several functions to develop an application program easily by supporting event-driven programming method and graphic object as control data type. This system is an integrated processor including preprocessor, solver and postprocessor. Automatic mesh generation is available at preprocess stage, and graphic presentation of deformation and stress is also represented at postprocess one.

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Partial Fault Detection of Air-conditioning System by Neural Network Algorithm using Data Preprocessing Method (데이터 전처리기법을 적용한 신경망 알고리즘의 냉방기 부분고장 검출)

  • 한도영;이한홍;윤태훈
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.14 no.7
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    • pp.560-566
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    • 2002
  • The fault detection and diagnosis technology may be applied in order to decrease the energy consumption and the maintenance cost of the air-conditioning system. In this study, two different types of faults in the air-conditioning system, such as the condenser fouling and the evaporator fan slowdown, were considered. The neural network algorithm combined with data preprocessor was developed and applied to detect the faults of the real system. Test results show that this method is very effective to detect the faults in the air-conditioning system. Therefore, this developed method can be used for the development of the air-conditioner fault detection system.

On a Performance Improvement of Speaker Recognition by using the Auditory Characteristics of Speech (음성의 청각특성을 이용한 화자식별시스템의 성능향상에 관한 연구)

  • 이윤주;오세영배재옥배명진
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.1223-1226
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    • 1998
  • The pre-emephasis filter as the conventional method emphasizes all components of high frequency that reflects the speaker characteristics. However this filter don't show the auditory characteristics of speaker's speech. In order to emphasize the perceptual characteristics, we propose the speaker recognition system that uses the perceptual weighting as the preprocessor because the Auditory characteristic of human is sensitive to the formant peaks. This filter has the characteristcs that both deemphasizes the low-formants and emphasizes the high formants. As a result of the proposed method, we improve the total recognition rate 1.7% better than the conventional method.

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Grid Generation for Turbomachinery Cascades (터보기계 익렬을 위한 격자 형성)

  • Jeong, Hui-Taek;Baek, Je-Hyeon
    • 연구논문집
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    • s.25
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    • pp.67-76
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    • 1995
  • A grid generation algorithm associated with turbomachinery cascade flow fields has been developed. The present grid generation system consists of four separate modules. The system input is made of the results of the preliminary design, i.e., flow-path, aerodynamic conditions along the spanwise direction, and the blade profile data. The grid generation method generates a series of two-dimensional grids in the blade-to-blade passage to build up the three-¬dimensional grid, The numerical algorithm adopts the combination of the algebraic and elliptic method to create the internal grids efficiently and quickly. The resultant grids generated from each module of the system are used as the preprocessor for the performance prediction of the turbomachinery blade using Naveir-Stokes method in addition to the blade surface modelling for CAD data. For purposes of illustration, the grid generation system is applied to several complex geometries inculding a turbine rotor with and without a tip flow grid. Application to the blade design of the LP compressor was demonstrated to be very reliable and practical in support of design activities. This customized system are coupled strongly with the design procedure and reduces the man-hours required to predict the aerodynamic performance of the turbomachinery cascades using the CFD technique.

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The Design an Implementation of Content-based Image Retrieval System Using Color Features (칼라 특징을 이용한 내용기반 화상검색시스템의 설계 및 구현)

  • 정원일;박정찬;최기호
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.6
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    • pp.111-118
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    • 1996
  • A content-based image retrieval system is designed and implemetned using the color featurees which are histogram intersection and color pairs. The preprocessor for the image retrieval manage linearly the existing HSI(hue, saturation, saturation, intensity). Hue and intensity histogram thresholding for each color attribute is performed to split the chromatic and achromatic regions respectively. Grouping te indexes produced by the histogram intersection is used to save the retrieval times. Each image is divided into the cells of 32$\times$32 pixels, and color pairs are used to represent the query during retrievals. The recall/precision of histogram intersection is 0.621/0.663 and recall/precision of color pairs is 0.438/0.536. And recall/precision of proposed method is 0.765/0.775/. It is shown that the proposed method using histogram intersection and color pairs improves the retrieval rates.

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Study of Buckling Evaluation for the connecting rod of the engine (엔진 커넥팅로드의 좌굴평가에 대한 연구)

  • 이문규;문희욱;이형일;이태수;신성원;장훈
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.677-680
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    • 2004
  • This study investigates the buckling evaluation of connecting rods used in the diesel engine through finite element analysis. The Rankine formula, which is modified from classical Euler‘s formula, has been widely accepted in automotive industry to evaluate the buckling of connecting rods. Apparently, this formula is most suitable for the straight and idealized rod shape, and over-simplifies the geometric complexity associated with connecting rods. The subspace iteration method in FEA is used to predict the critical buckling stress of a connecting rod with certain slenderness ratio. To create models with various slenderness ratios for shank portion in the rod, the automatic meshing preprocessor was implemented. Results from FEA were verified by the experiments, in which the embedded strain gages measured for the connecting rod running at 4000rpm. The result indicates that the buckling prediction curve through FEA and experiment is effectively different from the curve of classical Rankine formula.

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Machining condition monitoring for micro-grooving on mold steel using fuzzy clustering method (퍼지 클러스터링을 이용한 금형강에 미세 그루브 가공시 가공상태 모니터링)

  • 이은상;곽철훈;김남훈
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.11
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    • pp.47-54
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    • 2003
  • Research during the past several years has established the effectiveness of acoustic emission (AE)-based sensing methodologies for machine condition analysis and process. AE has been proposed and evaluated for a variety of sensing tasks as well as for use as a technique for quantitative studies of manufacturing process. STD11 has been known as difficult-to-cut materials. The micro-grooving machine was developed for this study and the experiments were performed using CBN blade for machining STD11. Evaluating the machining conditions, frequency spectrum analysis of acoustic emission (AE) signals according to each conditions were applied. Fuzzy clustering method for associating the preprocessor outputs with the appropriate decisions was followed by frequency spectrum analysis. FFT is used to decompose AE signal into different frequency bands in time domain, the root mean square (RMS) values extracted from the decomposed signal of each frequency band were used as features.

Adaptive Contour Smoothing Based on Inter-region Contrast (영역간 대조를 이용한 적응적 윤곽선 평활화)

  • 이시웅;김차종;이정환
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.10a
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    • pp.122-125
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    • 2003
  • An adaptive contour smoothing algorithm designed as a preprocessor for shape coders is presented. In the proposed method, the degree of the adaptive smoothing is controlled based on the significance of each contour point, which is quantified according to inter-region contrast in an intensity image. The actual smoothing consists of an expansion operator and a thinning algorithm. Experimental results show that the proposed method results in a saving of about 20% in number of coded bits with a negligible additional texture degradation in the reconstructed intensity image.

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