• Review of KIISC
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• v.32 no.1
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• pp.47-56
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• 2022

NIST는 PQC Round 3 평가 기준으로 부채널 분석 및 오류 주입에 대한 안전성을 역설함에 따라 Round 3 양자내성암호에 대한 새로운 부채널 공격 시나리오 및 대응 기법이 빠르게 제시되고 있다. 따라서 각 방법론의 동향을 파악하고 재정의, 분류하는 작업이 필수적으로 요구된다. 본 논문에서는 NIST PQC Round 3 최종 후보 중 격자 기반 암호 KEM(SABER, CRYSTALS-KYBER, NTRU)에 대한 부채널 분석기법 및 대응기술 동향을 조사 및 분석하고 향후 Round 3 격자 기반 KEM 알고리즘의 부채널 연구 전망을 논의한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.254-255
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• 2015

지금까지 해양사고 예방을 위해 선박설비 개선, 운항요건 강화 등 하드웨어적인 측면 개선에 주력하였지만, 선박을 운항하는 인적요인에 의해 발생하는 문제점을 최소화하는 것이 필수적이다. 선박조종시뮬레이션은 수행 횟수가 많을수록 조종성능에 익숙해짐에 따라 통계적 유의성의 문제가 발생한다. 본 연구는 인지 시뮬레이터의 개념도에 대해 소개하고자 한다. 고정된 항로가 아닌 랜덤하게 변하는 항로 조건에서 해기사가 어떻게 대응하는지 상황인식에 대한 여러 요소들은 항해 수행에 근저하는 인간 요인의 규명에 중요한 기초자료를 제공할 것으로 판단된다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.2
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• pp.239-249
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• 1993

In this paper, we present a design and implementation of Hangul C Programming language corresponding to Turbo C. The instruction of Hangul C were selected to be easily understood by elementary middle, high school students, and DOS commands and error message were translated into the Hangul.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.361-363
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• 2004

서비스 거부(denial of service) 공격의 일종인 SYN flooding 공격은 TCP/IP 프로토콜의 오류로 인해 발생한다. 기존의 SYN flooding 해결 연구들은 대부분 방화벽이나 라우터에서 패킷을 감시하여 불법적으로 판단된 패킷을 걸러내는 방법을 사용하였다. 따라서 기존의 연구들은 방화벽이나 라우터에 많은 부하를 주게 된다. 본 연구에서는 방화벽이나 라우터의 도움을 받지 않고, 기존의 네트워크 환경이나 운영체제에 큰 변화를 가하지 않으면서, 서버 시스템 자체만으로 SYN flooding 공격에 효율적으로 대응할 수 있는 방법을 제시하고자 한다.

• The Journal of the Acoustical Society of Korea
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• v.22 no.2
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• pp.145-152
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• 2003

In this paper, assuming that the score of speech utterance is the product of HMM log likelihood and HMM weight, we propose a new method that HMM weights are adapted iteratively like the general MCE training. The proposed method adjusts HMM weights for better performance using delta coefficient defined in terms of misclassification measure. Therefore, the parameter estimation and the Viterbi algorithms of conventional 1:.um can be easily applied to the proposed model by constraining the sum of HMM weights to the number of HMMs in an HMM set. Comparing with the general segmental MCE training approach, computing time decreases by reducing the number of parameters to estimate and avoiding gradient calculation through the optimal state sequence. To evaluate the performance of HMM-based speech recognizer by weighting HMM likelihood, we perform Korean isolated digit recognition experiments. The experimental results show better performance than the MCE algorithm with state weighting.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.15-20
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• 2021

The imprecise real-time scheduling can be used for minimizing the bad effects of timing faults by leaving less important tasks unfinished if necessary when a transient overload occured. In the imprecise scheduling, every time-critical task can be logically decomposed into two tasks : a mandatory task and an optional task. Recently, some studies in this field showed good schedulability performance and minimum total error by deferring the optional tasks. But the schedulability performance of the studies can be shown only when the execution time of each optional task was less than or equal to the execution time of its corresponding mandatory task. Therefore, in this paper, a new deferring strategy is proposed under the reverse execution time restriction to the previous studies. Nevertheless, the strategy produces comparable or superior schedulability performance to the previous studies and can minimize the total error also.

• Journal of KIISE:Software and Applications
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• v.37 no.10
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• pp.788-801
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• 2010

Advancing of mobile device is remarkable, so the research on mobile input device is getting more important issue. There are lots of input devices such as keypad, QWERTY keypad, touch and speech recognizer, but they are not as convenient as typical keyboard-based desktop input devices so input strings usually contain many typing errors. These input errors are not trouble with communication among person, but it has very critical problem with searching in database, such as dictionary and address book, we can not obtain correct results. Especially, Hangeul has more than 10,000 different characters because one Hangeul character is made by combination of consonants and vowels, frequency of error is higher than English. Generally, suffix tree is the most widely used data structure to deal with errors of query, but it is not enough for variety errors. In this paper, we propose fast approximate Korean word searching system, which allows variety typing errors. This system includes several algorithms for applying general approximate string searching to Hangeul. And we present profanity filters by using proposed system. This system filters over than 90% of coined profanities.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.4
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• pp.144-159
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• 2014

Techniques for making a single panoramic image using multiple pictures are widely studied in many areas such as computer vision, computer graphics, etc. The panorama image can be applied to various fields like virtual reality, robot vision areas which require wide-angled shots as an useful way to overcome the limitations such as picture-angle, resolutions, and internal informations of an image taken from a single camera. It is so much meaningful in a point that a panoramic image usually provides better immersion feeling than a plain image. Although there are many ways to build a panoramic image, most of them are using the way of extracting feature points and matching points of each images for making a single panoramic image. In addition, those methods use the RANSAC(RANdom SAmple Consensus) algorithm with matching points and the Homography matrix to transform the image. The SURF(Speeded Up Robust Features) algorithm which is used in this paper to extract featuring points uses an image's black and white informations and local spatial informations. The SURF is widely being used since it is very much robust at detecting image's size, view-point changes, and additionally, faster than the SIFT(Scale Invariant Features Transform) algorithm. The SURF has a shortcoming of making an error which results in decreasing the RANSAC algorithm's performance speed when extracting image's feature points. As a result, this may increase the CPU usage occupation rate. The error of detecting matching points may role as a critical reason for disqualifying panoramic image's accuracy and lucidity. In this paper, in order to minimize errors of extracting matching points, we used $3{\times}3$ region's RGB pixel values around the matching points' coordinates to perform intermediate filtering process for removing wrong matching points. We have also presented analysis and evaluation results relating to enhanced working speed for producing a panorama image, CPU usage rate, extracted matching points' decreasing rate and accuracy.

• Journal of the Korean Society of Radiology
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• v.17 no.4
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• pp.615-623
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• 2023

This study was conducted to examine the effect of organizational safety culture on radiologists' awareness of patient safety and safety behavior. The study was conducted based on the results of the survey, and the survey was divided into three factors: general characteristics, efforts for patient safety, and patient safety culture. As a result of the study, age, work experience, and work satisfaction were influencing factors in general characteristics, and gender, academic background, and work type were not included as factors affecting differences in patient safety awareness. In efforts for patient safety, hospital support and education, patient safety activities, and how to respond to errors were all influencing factors, especially how to respond to errors were more relevant than other items. The patient safety culture was analyzed on two items: teamwork and open communication, and both items were highly related to radiologists' awareness of patient safety.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.1
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• pp.9-18
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• 2018

Recently, the use of image stitching technology has been increasing as the number of contents based on virtual reality increases. Image Stitching is a method for matching multiple images to produce a high resolution image and a wide field of view image. The image stitching is used in various fields beyond the limitation of images generated from one camera. Image Stitching detects feature points and corresponding points to match multiple images, and calculates the homography among images using the RANSAC algorithm. Generally, corresponding points are needed for calculating conversion relation. However, the corresponding points include various types of noise that can be caused by false assumptions or errors about the conversion relationship. This noise is an obstacle to accurately predict the conversion relation. Therefore, RANSAC algorithm is used to construct an accurate conversion relationship from the outliers that interfere with the prediction of the model parameters because matching methods can usually occur incorrect correspondence points. In this paper, we propose an algorithm that extracts more accurate inliers and computes accurate transformation relations by using correspondence point relation information used in RANSAC algorithm. The correspondence point relation information uses distance ratio between corresponding points used in image matching. This paper aims to reduce the processing time while maintaining the same performance as RANSAC.