• 제목/요약/키워드: Pattern Processing

검색결과 2,356건 처리시간 0.028초

An Improved Secure Semi-fragile Watermarking Based on LBP and Arnold Transform

  • Zhang, Heng;Wang, Chengyou;Zhou, Xiao
    • Journal of Information Processing Systems
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    • 제13권5호
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    • pp.1382-1396
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    • 2017
  • In this paper, we analyze a recently proposed semi-fragile watermarking scheme based on local binary pattern (LBP) operators, and note that it has a fundamental flaw in the design. In this work, a binary watermark is embedded into image blocks by modifying the neighborhood pixels according to the LBP pattern. However, different image blocks might have the same LBP pattern, which can lead to false detection in watermark extraction process. In other words, one can modify the host image intentionally without affecting its watermark message. In addition, there is no encryption process before watermark embedding, which brings another potential security problem. To illustrate its weakness, two special copy-paste attacks are proposed in this paper, and several experiments are conducted to prove the effectiveness of these attacks. To solve these problems, an improved semi-fragile watermarking based on LBP operators is presented. In watermark embedding process, the central pixel value of each block is taken into account and Arnold transform is adopted to guarantee the security of watermark. Experimental results show that the improved watermarking scheme can overcome the above defects and locate the tampered region effectively.

LTS Semantics Model of Event-B Synchronization Control Flow Design Patterns

  • Peng, Han;Du, Chenglie;Rao, Lei;Liu, Zhouzhou
    • Journal of Information Processing Systems
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    • 제15권3호
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    • pp.570-592
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    • 2019
  • The Event-B design pattern is an excellent way to quickly develop a formal model of the system. Researchers have proposed a number of Event-B design patterns, but they all lack formal behavior semantics. This makes the analysis, verification, and simulation of the behavior of the Event-B model very difficult, especially for the control-intensive systems. In this paper, we propose a novel method to transform the Event-B synchronous control flow design pattern into the labeled transition system (LTS) behavior model. Then we map the design pattern instantiation process of Event-B to the instantiation process of LTS model and get the LTS behavior semantic model of Event-B model of a multi-level complex control system. Finally, we verify the linear temporal logic behavior properties of the LTS model. The experimental results show that the analysis and simulation of system behavior become easier and the verification of the behavior properties of the system become convenient after the Event-B model is converted to the LTS model.

Mobile User Interface Pattern Clustering Using Improved Semi-Supervised Kernel Fuzzy Clustering Method

  • Jia, Wei;Hua, Qingyi;Zhang, Minjun;Chen, Rui;Ji, Xiang;Wang, Bo
    • Journal of Information Processing Systems
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    • 제15권4호
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    • pp.986-1016
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    • 2019
  • Mobile user interface pattern (MUIP) is a kind of structured representation of interaction design knowledge. Several studies have suggested that MUIPs are a proven solution for recurring mobile interface design problems. To facilitate MUIP selection, an effective clustering method is required to discover hidden knowledge of pattern data set. In this paper, we employ the semi-supervised kernel fuzzy c-means clustering (SSKFCM) method to cluster MUIP data. In order to improve the performance of clustering, clustering parameters are optimized by utilizing the global optimization capability of particle swarm optimization (PSO) algorithm. Since the PSO algorithm is easily trapped in local optima, a novel PSO algorithm is presented in this paper. It combines an improved intuitionistic fuzzy entropy measure and a new population search strategy to enhance the population search capability and accelerate the convergence speed. Experimental results show the effectiveness and superiority of the proposed clustering method.

용접결함의 형상인식을 위한 특징변수 추출에 관한 연구 (A Study on the Extraction of Feature Variables for the Pattern Recognition of Welding Flaws)

  • 김재열;노병옥;유신;김창현;고명수
    • 한국정밀공학회지
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    • 제19권11호
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    • pp.103-111
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    • 2002
  • In this study, the natural flaws in welding parts are classified using the signal pattern classification method. The storage digital oscilloscope including FFT function and enveloped waveform generator is used and the signal pattern recognition procedure is made up the digital signal processing, feature extraction, feature selection and classifier design. It is composed with and discussed using the distance classifier that is based on euclidean distance the empirical Bayesian classifier. feature extraction is performed using the class-mean scatter criteria. The signal pattern classification method is applied to the signal pattern recognition of natural flaws.

청각 보철을 위한 자극패턴 추출에 관한 연구 (A Study on the Extraction of the Excitation Pattern for Auditory Prothesis)

  • 박상희;윤태성;이재혁;백승화
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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    • pp.1322-1325
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    • 1987
  • In this study, the excitation pattern, which can be sensated by a man having hearing loss due to the damage of inner ear, is extracted, and the procedure of the auditory speech signal processing is simulated with the computer. Therefore, the excitation pattern is extracted by the neural tuning model satisfying the physiological characteristic of the inner ear and by the infor.ation extracted from speech signal. The firing pattern is also extracted by inputting this excitation pattern to the auditory neural model. With this extracted firing pattern, the possibility that the patient can sensate the speech signal is studied by the computer simulation.

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용접결함의 패턴분류를 위한 특징변수 유효성 검증 (Availability Verification of Feature Variables for Pattern Classification on Weld Flaws)

  • 김창현;김재열;유홍연;홍성훈
    • 한국공작기계학회논문집
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    • 제16권6호
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    • pp.62-70
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    • 2007
  • In this study, the natural flaws in welding parts are classified using the signal pattern classification method. The storage digital oscilloscope including FFT function and enveloped waveform generator is used and the signal pattern recognition procedure is made up the digital signal processing, feature extraction, feature selection and classifier design. It is composed with and discussed using the distance classifier that is based on euclidean distance the empirical Bayesian classifier. Feature extraction is performed using the class-mean scatter criteria. The signal pattern classification method is applied to the signal pattern recognition of natural flaws.

UV Optical Solutions for Thin Film Processing and Annealing Research

  • Delmdahl, Ralph;Shimizu, Hiroshi;Dittmar, Mirko;Fechner, Burkhard
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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    • pp.246-249
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    • 2009
  • A compact, flexible family of UV laser material processing systems has been developed to drive advancements in both large area processing and annealing of semiconductor surfaces. UV photons can either be applied via demagnifying a mask pattern image or by scanning a homogenized excimer beam across the substrate area. 193nm, 248nm and 308nm wavelength applications are supported.

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운전패턴 검출 알고리즘을 적응한 텔레매틱스 단말기 구현 (Implementation of Telematics System Using Driving Pattern Detection Algorithm)

  • 김기석;정희석;윤기방;정경훈;김기두
    • 전자공학회논문지 IE
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    • 제45권4호
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    • pp.33-41
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    • 2008
  • 텔레매틱스 시스템의 기능 중 현실적으로 상품성 있는 기능으로 "차량 원격 진단 기능", "운전 패턴 분석 기능"이 있으며 이를 구현하기 위한 기술로는 차량 신호 인터페이스 기술, 자가 진단 인터페이스 기술, 가속도/자이로 센서 인터페이스 기술, PS 신호 처리 기술, 운전 패턴 분석 기술, 무선통신(CDMA) 처리 기술 등이 사용된다. 이러한 기술을 기반으로 본 논문에서는 차량 주행 중에 자각의 EMS(Engine Management System), TMS(Transmission Management System), ABS/TCS, A/BAG 능에서 진단된 차량의 이상 유무를 실시간으로 분석하고, 운전자 주행 패턴 및 차량 관리에 대한 사항을 점검하여 무선통신(CDMA)을 통해 정보센터로 전송하여 이를 DB화함으로써 효율적 차량 관리 및 운전자 관리가 가능하다. 본 연구는 이러한 차량 원격진단 및 운전 패턴 분석기능을 구현하는 H/W와 S/W를 설계 및 제작하고 실차 시험을 통해 이를 검증한다.

스트림 데이터에서 동적 가중치를 이용한 순차 패턴 탐사 기법 (A Sequential Pattern Mining based on Dynamic Weight in Data Stream)

  • 최필선;김환;김대인;황부현
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제2권2호
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    • pp.137-144
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    • 2013
  • 순차 패턴 탐사 기법은 순서를 갖는 패턴들의 집합 중에 빈발하게 발생하는 패턴을 탐사하는 기법이다. 순차 패턴 탐사 분야 중에 동적 가중치 순차 패턴 탐사는 가중치가 시간에 따라 변화하는 컴퓨팅 환경에 적용 가능한 탐사 기법으로 동적인 가중치 변화를 탐색 과정에 적용하여 다양한 환경에서 활용 가능하다. 이 논문에서는 다양한 순차 데이터가 들어오는 스트림 환경에서 동적 가중치를 적용하여 빈발한 이벤트들을 탐사하는 새로운 순차 패턴 탐사 기법을 제안한다. 제안하는 기법은 시간 순서에 의한 상대적인 동적 가중치를 사용하여 탐색해야 하는 후보 패턴을 줄여주고 해시 구조를 통한 데이터 입출력으로 빈발한 순차 패턴을 빠르게 탐사할 수 있다. 이 기법을 사용하면 기존 가중치를 적용하는 방식보다 메모리 사용과 처리 시간을 줄여줘 매우 효율적이다. 제안하는 기법은 다른 가중치 순차 패턴 탐사 기법과의 비교를 통해 동적 가중치 탐사 기법의 중요성을 보인다.

나노초 레이저 가공을 활용한 초소수 표면 특성을 가지는 사출 금형에 관한 연구 (A Study on the Injection Mold with Superhydrophobic Surface Properties Using Nanosecond Laser Machining)

  • 박정래;김혜진;박지영;성시명;홍서연;송기혁
    • Design & Manufacturing
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    • 제17권3호
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    • pp.48-54
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    • 2023
  • In this study, an injection mold with ultra-small surface properties was manufactured using nanosecond laser processing. A superhydrophobic characteristic analysis was performed on the PET specimen manufactured through this. To this end, a hydrophobic pattern was defined using the Cassie-Baxter model. The defined features were selected with a spot diameter of 25um and pitch spacing of 30um and 35um. As a result of the basic experiment, it was confirmed that the fine pattern shape had an aspect ratio of 1:1 when the pitch interval was 35um and 20 iterations. Through the determined processing conditions, a hydrophobic pattern was implemented on the core surface of KP4. A specimen with a hydrophobic pattern was produced through injection molding. The height of the molded hydrophobic pattern is 20 ㎛ less than the depth of the core and the contact angle measurement results are 92.1°. This is a contact angle smaller than the superhydrophobic criterion. Molding analysis was performed to analyze the cause of this, and it was analyzed that the molding was not molded due to the lack of pressure in the injection machine.