• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2008년도 춘계학술발표대회
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• pp.917-920
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• 2008

The Internet Key Exchange (IKE) protocol is most widely used as a security key exchange protocol on the Internet. Security policies used by the IKE protocol must be configured in advance, however the complex options and manual settings cause inconvenience. This paper proposes an automatic configuration method for the IKE protocol based on X.509 certificate. Security policies are embedded in the certificate, read, and added into the IKE configuration file by a negotiation assistant module in order to achieve automatic IKE configuration. Our proposed method reduces the complexity of configuration process and improves the adaptability of the IKE protocol.

• 한국ITS학회:학술대회논문집
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• 한국ITS학회 2008년도 제7회 추계학술대회 및 정기총회
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• pp.284-288
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• 2008

• IEIE Transactions on Smart Processing and Computing
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• 제5권1호
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• pp.17-21
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• 2016

This paper investigates the importance of the computational overhead when machine learning methods, such as SVM, LASSO, AdaBoosting and AdaBagging, are used for automatic security classification.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 추계학술대회 논문집
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• pp.189-190
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• 2006

• 한국의류산업학회지
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• 제18권4호
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• pp.468-476
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• 2016

Recent advancements in optics technology enable us to realize fast scans of hands using two-dimensional (2D) image scanners. In this paper, we propose an automatic hand measurement system using 2D image scanners for customized glove production. To develop the automatic hand measurement system, firstly hand scanning devices has been constructed. The devices are designed to block external lights and have user interface to guide hand posture during scanning. After hands are scanned, hand contour is extracted using binary image processing, noise elimination and outline tracing. And then, 19 hand landmarks are automatically detected using an automatic hand landmark detection algorithm based on geometric feature analysis. Then, automatic hand measurement program is executed based on the automatically extracted landmarks and measurement algorithms. The automatic hand measurement algorithms have been developed for 18 hand measurements required for custom-made glove pattern making. The program has been coded using the C++ programming language. We have implemented experiments to demonstrate the validity of the system using 11 subjects (8 males, 3 females) by comparing automatic 2D scan measurements with manual measurements. The result shows that the automatic 2D scan measurements are acceptable in the customized glove making industry. Our evaluation results confirm its effectiveness and robustness.

• 대한임상검사과학회지
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• 제39권3호
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• pp.256-263
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• 2007

P300 is widely used as a neurophysiological indicator of cognitive processing, which is known as reflecting controlled processing. MMN (mismatch negativity), early response prior to P300, is known as reflecting an early stage of information processing and having involuntary attention and automatic awakening or sensory memory. This study for normal people shows that electric potential of P300 and MMN are in close correlation (r=-0.673, p<0.05). That is, it is observed that the higher negative value electric potential of MMN measured at cerebral forehead-center has, the higher value electric potential of P300 measured at cerebral center-vertex has. This fact implies that working memory for temporary storage and operation of stimuli, and involuntary attention which constitute automatic information processing, an early stage of information processing, play a crucial role in efficient information processing. On the other hand, considering that MMN of cerebral forehead-center and P300 of cerebral center-vertex are in close correlation, it is necessary to pursue further study of cerebral parts which generate P300 and MMN in information processing.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.287-287
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• 2000

As a method to control the bacteria number in adequate level, a real time control system based on microscope image processing measurement for the bacteria is adopted. For the experiment, Ammonia-oxidizing bacteria such as Acinetobacter sp. are used. This paper proposed hybrid method combined watershed algorithm with adaptive automatic thresholding method to enhance segmentation efficiency of overlapped image. Experiments was done to show the effectiveness of the proposed method compared to traditional Otsu's method, Otsu's method with adaptive automatic thresholding method and human visual method.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2000년도 추계학술대회논문집 - 한국공작기계학회
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• pp.51-56
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• 2000

This study is to implement automatic inspection system of motor body panel by visual system. since it is inefficient to examine adhesion condition of components with the naked eye, image processing algorithm is presented to replace the existing manual inspection process with an automatic inspection process the developed automatic inspection system presents tile examination method of the adhesion condition of components with a pixed camera, which leads to an increase of the productivity and a reduction of manufacturing cost

• 대한안전경영과학회지
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• 제8권4호
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• pp.119-127
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• 2006

This paper deals with the middleware and S/W development of real time automatic attendance check management system using ubiquitous 900Mhz RFID(Radio Frequency Identification). This system supports the real time automatic attendance check and necessary data processing in class management. We expect to decrease the effort for class management and to upgrade the status of real time management of class.

• 한국멀티미디어학회논문지
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• 제18권11호
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• pp.1358-1366
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• 2015

This paper proposes an automatic composition method using the training capability of artificial neural networks and chord progression rules that are widely used by human composers. After training a given song, the new melody is generated by the trained artificial neural networks through applying a different initial melody to the neural networks. The generated melody should be modified to fit the rhythm and chord progression rules for generating natural melody. In order to achieve this object, we devised a post-processing method such as chord candidate generation, chord progression, and melody correction. From some tests we could find that the melody after the post-processing was very improved from the melody generated by artificial neural networks. This enables our composition system to generate a melody which is similar to those generated by human composers.