• 지능정보연구
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• 제9권3호
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• pp.81-97
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• 2003

본 논문에서는 인간시각시스템의 특성에 기반하여 웨이블릿 변환을 적용하여 멀티미디어 데이터의 소유권 보호를 위하여 시각적으로 눈에 띄지 않는 강인한 워터마킹 기법을 제안하고 있다. 이를 위하여 우선 웨이블릿 변환을 사용하여 level 3에서 원 영상을 분해한 후, 최저파수 대역에 해당하는 LL$_3$대역을 제외한 모든 부 대역에 신경회로망을 사용하여 웨이블릿 분해 계수들을 분류한 다음, 최대값을 갖는 클러스터에 대해서 임계치를 적용한다. 그리고 사용된 워터마크는 워터마크의 시각적 확인을 위하여 가우시안 랜덤 벡터 대신에 이진 로고 형태의 워터마크를 사용하였다. 또한, 본 논문에서는 다중 워터마크의 삽입 및 검출을 테스트하였다. 이를 위하여, 웨이블릿 변환을 이용하여 level 3에서 원 영상을 분해한 후, 최 저주파수 대역에 해당하는 LL$_3$ 대역을 제외한 모든 부대역에 대하여 워터마크를 삽입하였다. 실험에서 우리는 여러 가지 공격에서도 삽입한 워터마크가 강인함을 알 수 있었다.

• Journal of Electrical Engineering and Technology
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• 제9권2호
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• pp.739-748
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• 2014

In this paper, we propose pyramid appearance and global structure action descriptors on both RGB and depth motion history images and a model-free method for human action recognition. In proposed algorithm, we firstly construct motion history image for both RGB and depth channels, at the same time, depth information is employed to filter RGB information, after that, different action descriptors are extracted from depth and RGB MHIs to represent these actions, and then multimodality information collaborative representation and recognition model, in which multi-modality information are put into object function naturally, and information fusion and action recognition also be done together, is proposed to classify human actions. To demonstrate the superiority of the proposed method, we evaluate it on MSR Action3D and DHA datasets, the well-known dataset for human action recognition. Large scale experiment shows our descriptors are robust, stable and efficient, when comparing with the-state-of-the-art algorithms, the performances of our descriptors are better than that of them, further, the performance of combined descriptors is much better than just using sole descriptor. What is more, our proposed model outperforms the state-of-the-art methods on both MSR Action3D and DHA datasets.

• Journal of Information Processing Systems
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• 제14권2호
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• pp.418-434
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• 2018

With the increasing use of the Internet and electronic documents, automatic text categorization becomes imperative. Several machine learning algorithms have been proposed for text categorization. The k-nearest neighbor algorithm (kNN) is known to be one of the best state of the art classifiers when used for text categorization. However, kNN suffers from limitations such as high computation when classifying new instances. Instance selection techniques have emerged as highly competitive methods to improve kNN through data reduction. However previous works have evaluated those approaches only on structured datasets. In addition, their performance has not been examined over the text categorization domain where the dimensionality and size of the dataset is very high. Motivated by these observations, this paper investigates and analyzes the impact of instance selection on kNN-based text categorization in terms of various aspects such as classification accuracy, classification efficiency, and data reduction.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.269-272
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• 1987

This paper is concerned on kinematic analysis and simulation of an automatic feeding mechanism subjected by the motion of a curvilinear inverse cam. The main objection is the development of computer-aided design (CAD) program for simulating the motion of the cam-feeding mechanism using computer-graphics. A computer program CACAFS (Computer-Aided Cam and Automatic Feeding System) is independent of computer hardware used. The program is also interactive using a menu-selection technique. As the second part of the paper for the motion simulation of the cam-feeding system, this paper discusses the state-of-art for CAD. The first part of the paper presents the algorithm to simulate the notion of the cam-feeding mechanism.

• Journal of Welding and Joining
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• 제14권3호
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• pp.2-11
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• 1996

용접 능률과 품질에 영향을 미치는 여러가지 요인들 중에서 용접기의 성능은 가장 중요한 요소의 하나이다. 이러한 점에서 숙련도에 주로 의존하던 종래의 용접성 에 대한 관념이 바뀌어야 하며, 품질 표준화 작업의 일환으로 용접기 제어 성능의 향상도 절실하다고 하겠다. 용접품질의 제어성능에 직접 영향을 주는 요소가 무엇인지 를 생각해 볼때, 그것은 바로 용접부에 공급되는 에너지의 제어, 용접 물리현상의 이해와 관찰을 기초로 적절한 함수의 설정과 함께 이들의 관리가 필요함을 알게된다. system화된 용접기는 이들 용접의 물리적 현상과 그 해석 결과를 어떤 방식으로든 이용하고 제어하여야 할 것이므로, 용접기 전력제어의 중요성과 함께 제어 소자의 성능은 물론 제어 algorithm의 최적화가 필수 요소임을 실감하게 된다. 따라서, 여기 에서는 제조 공정에서 가장 중요한 용접 공정의 하나인 아크 용접(GMAW, GTAW) system 의 개요와 특성 및 향후 기술개발의 과제에 대하여 기술하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권2호
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• pp.945-958
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• 2017

This paper proposes a novel method of reversible data hiding in JPEG images. After analyzing the JPEG features, we provide a new algorithm of selecting appropriate blocks and coefficients to carry secret messages. Instead of embedding data into the histogram of all coefficients, we propose a strategy of ordered embedding to hide data by histogram shifts in several rounds. On the recipient end, secret messages can be exactly extracted, and the original JPEG image can be losslessly recovered. Experimental results show that high embedding rate can be achieved with limited distortions. Most importantly, the marked JPEG file generated by the proposed method requires less storage size than state-of-the-art works.

• Journal of Power Electronics
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• 제2권1호
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• pp.25-31
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• 2002

Servo drives with microcomputer control provide the possibility of using modern and sophisticated control algorithms. As an additional feature it is possible to implement parallel and/or redundant software and hardware structures to realise safe motion or similar security functions. Unfortunately microcomputer control also has some impact on the behaviour of servo drives. Control algorithm, cycle time, sensors and interface have to be perfectly synchronised. Special control schemes are necessary on the line side (power supply) to meet the actual requirements concerning EMC. This contribution presents experiences and results obtained from a modern digital drive system pointing out the influences of low and high accuracy position sensors and the interdependencies mentioned above.

• Journal of Communications and Networks
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• 제17권2호
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• pp.145-156
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• 2015

In recent years, electronic commerce and online social networks (OSNs) have experienced fast growth, and as a result, recommendation systems (RSs) have become extremely common. Accuracy and robustness are important performance indexes that characterize customized information or suggestions provided by RSs. However, nefarious users may be present, and they can distort information within the RSs by creating fake identities (Sybils). Although prior research has attempted to mitigate the negative impact of Sybils, the presence of these fake identities remains an unsolved problem. In this paper, we introduce a new weighted link analysis and influence level for RSs resistant to Sybil attacks. Our approach is validated through simulations of a broad range of attacks, and it is found to outperform other state-of-the-art recommendation methods in terms of both accuracy and robustness.

• Current Optics and Photonics
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• 제3권5호
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• pp.390-400
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• 2019

Encrypted images obtained through double random phase-encoding (DRPE) occupy considerable storage space. We propose efficient compression schemes to reduce the size of the encrypted data. In the proposed schemes, two state-of-art compression methods of JPEG and JP2K are applied to the quantized encrypted phase images obtained by combining the DRPE algorithm with the virtual photon counting imaging technique. We compute the nonlinear cross-correlation between the registered reference images and the compressed input images to verify the performance of the compression of double random phase-encoded images. We show quantitatively through experiments that considerable compression of the encrypted image data can be achieved while security and authentication factors are completely preserved.

• Journal of Power Electronics
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• 제19권5호
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• pp.1182-1192
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• 2019

In order to improve the conversion efficiency and mitigate the EMI problem of conventional hard-switching inverters, a new soft-switching DC-AC inverter with a compact structure and a low modulation complexity is proposed in this paper. In the proposed structure, resonant inductors are connected in series for the arm branches, and resonant capacitors are connected in parallel for the neutral point branches. With the help of resonant components, the proposed structure achieves zero-current switching on the arm branches and zero-voltage switching on the neutral point branches. When compared with state-of-art soft-switching topologies, the proposed topology does not need auxiliary switches. Moreover, the commutation algorithm to realize soft-switching can be easily implemented. In this paper, the principle of the resonant operation of the proposed soft-switching converter is presented and its performance is verified through simulation studies. The feasibility of the proposed inverter is evaluated experimentally with a 2.4-kW prototype.