• Title, Summary, Keyword: 전처리기

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Souce Code Identification Using Deep Neural Network (심층신경망을 이용한 소스 코드 원작자 식별)

  • Rhim, Jisu;Abuhmed, Tamer
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.9
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    • pp.373-378
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    • 2019
  • Since many programming sources are open online, problems with reckless plagiarism and copyrights are occurring. Among them, source codes produced by repeated authors may have unique fingerprints due to their programming characteristics. This paper identifies each author by learning from a Google Code Jam program source using deep neural network. In this case, the original creator's source is to be vectored using a pre-processing instrument such as predictive-based vector or frequency-based approach, TF-IDF, etc. and to identify the original program source by learning by using a deep neural network. In addition a language-independent learning system was constructed using a pre-processing machine and compared with other existing learning methods. Among them, models using TF-IDF and in-depth neural networks were found to perform better than those using other pre-processing or other learning methods.

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.

Development of a Neural Network with Fuzzy Preprosessor (퍼지 전처리기를 가진 신경회로망 모델의 개발)

  • 조성원;황인호
    • Journal of Korean Institute of Intelligent Systems
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    • v.5 no.1
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    • pp.43-51
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    • 1995
  • In this paper, we propose a neural network with fuzzy preprocessor not only for improving the classifi¬cation accuracy but also for being able to classify objects whose attribute values do not have clear bound¬aries. The fuzzy input signal representation scheme is included as a preprocessing module. It transforms imprecise input in linguistic form and precisely stated numerical input into multidimensional numerical values. 'The transformed input is processed in the postprocessing module. The experimental results indi-cate the superiority of fuzzy input signal representation scheme in comparison to binary input signal rep¬resentation scheme and decimal input signal representation scheme.

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Development of Integrated Software for Optimum Design (C언어를 사용한 최적설계 통합코드)

  • Lim, O-Kang;Cho, Heon;Kim, Sung-Tae;Lee, Byung-Woo
    • Computational Structural Engineering
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    • v.9 no.3
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    • pp.157-167
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    • 1996
  • A graphics system for optimum design(GOD) was developed for the various optimization programs. It is composed of a preprocessor and a postprocessor using the methods of pull-down and pop-up menus. The preprocessor of GOD system helps the designer to make a input file or a subprogram according to a selected optimization program. The postprocessor of the system display the numerical results generated during the iterative numerical analysis processes graphically in the graphic mode. Numerical examples as a mathematical linear problem and a 3-bar truss structure are presented to explain the use of GOD system. The system was programmed in one of the computer programming languages, Borland C.

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Design of a Rule-Based Correlation Analyzer through Reducing Intrusion Alerts (침입경보 축약을 통한 규칙기반 연관관계 분석기 설계)

  • Lee, Seong-Ho;Kim, Min-Soo;Noh, Bong-Nam;Seo, Jung-Taek;Choi, Dae-Sik;Park, Eung-Gi
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.1091-1094
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    • 2004
  • 전통적인 호스트 기반 침입탐지시스템과 네트워크 기반 침입탐지시스템은 각각 로그 데이터나 패킷 정보에서 단일 공격을 탐지하고 침입경보를 생성한다. 그러므로, 기존의 침입탐지시스템들은 침입경보간의 상호 연관성에 대한 정보가 부족하게 되고, 다수의 거짓 침입경보를 발생시킨다. 이를 해결하기 위해, 본 논문에서는 추론 규칙을 이용하는 침입경보 연관관계 시스템을 제안한다. 제안한 시스템은 침입경보 수집기, 침입경보 전처리기, 침입경보 연관관계 분석기로 구성되어 있다. 침입경보 수집기는 각 침입탐지시스템으로부터 필터링 과정을 거쳐 전송된 침입경보를 받아 침입경보 데이터베이스에 저장한다. 침입경보 전처리기는 불필요한 침입경보를 줄임으로써 침입경보 연관관계 분석의 효율성을 높인다. 마지막으로, 침입경보 연관관계 분석기는 추론 규칙을 이용하여 침입경보간의 상호연관성을 파악한다.

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An Efficient Query Processing in Stream DBMS using Query Preprocessor (질의 전처리기를 사용한 스트림 DBMS의 효율적 질의처리)

  • Yang, Young-Hyoo
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.1
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    • pp.65-73
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    • 2008
  • The telematics data management deals with queries on stream data coming from moving cars. So the stream DBMS should process the large amount of data stream in real-time. In this article, previous research projects are analyzed in the aspects of query processing. And a hybrid model is introduced where query preprocessor is used to process all types of queries in one singe system. Decreasing cost and rapidly increasing Performance of devices may guarantee the utmost parallelism of the hybrid system. As a result, various types of stream DBMS queries could be processed in a uniform and efficient way in a single system.

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Design of IIR Filters with Prefilter-Equalizer Structure for Narrowband Applications (협대역 응용 시스템을 위한 전처리기-등화기 구조의 IIR 여파기 설계 방법)

  • Oh Hyuk-jun;Ahn Hee-june
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.4
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    • pp.143-152
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    • 2005
  • Optimal methods for designing multiplierless IIR filters with cascaded prefilter-equalizer structures are proposed for narrowband applications. Assuming that an U filter consists of a cyclotomic Polynomial (CP) prefilter and an all-Pole equalizer based on interpolated first order polynomial (IFOP), in the proposed method the prefilter and equalizer are simultaneously designed using mixed integer linear programming (MILP). The resulting filter is a cascaded filter with minimal complexity. In addition, MtP tries to minimize both computational complexity and phase response non-linearity. Design examples demonstrate that the proposed methods produce a more efficient cascaded prefilter-equalizer than existing methods.

Design of FIR filters with Prefilter-Equalizer Structure for Narrowband Communication Systems (협대역 통신시스템을 위한 전처리기-등화기 구조의 FIR 여파기 설계)

  • Oh Hyukjun;Ahn Heejune
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.6C
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    • pp.577-584
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    • 2005
  • Optimal methods for designing multiplierless minimal complexity FIR filters with cascaded prefilter-equalizer structures are proposed for narrowband communication systems. Assuming that an FIR filter consists of a cyclotomic polynomial(CP) prefilter and an interpolated second order polynomial(ISOP) equalizer, in the proposed method the prefilter and equalizer are simultaneously designed using mixed integer linear programming(MILP). The resulting filter is a cascaded filter with minimal complexity. Design examples demonstrate that the proposed methods produce a more computationally efficient cascaded prefilter-equalizer than other existing filters.

Partitioned Block Frequency Domain Adaptive Filtering Algorithm for Nonlinear Acoustic Echo Cancellation (비선형 음향 반향 제거를 위한 파티션 블록 주파수 영역 적응 필터링 알고리즘)

  • Lee, Keunsang;Ji, Youna;Park, Youngcheol
    • The Journal of the Acoustical Society of Korea
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    • v.34 no.3
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    • pp.177-183
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    • 2015
  • This paper proposes a robust nonlinear acoustic echo canceller (NAEC) which is effective for modeling the nonlinearity of a speaker module and the long acoustic echo path within a speech communication environment. The proposed NAEC utilizes a sigmoid pre-processor for modeling the speaker nonlinearity and a partitioned block frequnecy-domain adaptive filter for identifying the acoustic echo path with small delay. Simulation results confirmed that the proposed algorithm achieves excellent performance with much lower computational complexity than the previous NAEC.

Quality Improvement of Low Bitrate HE-AAC using Linear Prediction Pre-processor (저 전송률 환경에서 선형예측 전처리기를 사용한 HE-AAC의 성능 향상)

  • Lee, Jae-Seong;Lee, Gun-Woo;Park, Young-Chul;Youn, Dae-Hee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.8C
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    • pp.822-829
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    • 2009
  • This paper proposes a new method of improving the quality of High Efficiency Advanced Audio Coding (HE-AAC). HE-AAC encodes input source by allocating bits for each scalefactor bands appropriately according to human ear's psychoacoustic property. As a result, insufficient bits are assigned to the bands which have relatively low energy. This imbalance between different energy bands can cause decreasing of sound quality like musical noise. In the proposed system, a Linear Prediction (LP) module is combined with HE-AAC as a pre-processor to improve sound quality by even bits distribution. To apply accurate human being's psychoacoustic property, the psychoacoustic model uses Fast Fourier Transform (FFT) spectrum of original input signal to make masking threshold. In its implementation, masking threshold of psychoacoustic model is normalized using the LP spectral envelope in prior to quantization of the LP residual. Experimental result shows that, the proposed algorithm allocates bits appropriately for insufficient bits condition and improves the performance of HE-AAC.