• Clinics in Shoulder and Elbow
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• v.16 no.1
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• pp.58-62
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• 2013

Purpose: Among the numerous clinical researches and following articles, there are few cases that apply proper methodology, which guarantees high reliability. By understanding the right concept and randomization of proper methods, research bias could be minimized. Materials and Methods: By reviewing the recently published articles about randomization, the basic concept and the necessity of applying the technique was described. Then proper methodologies for good randomization such as simple randomization, permuted-block randomization, and stratification were briefly introduced with examples. Results and Conclusion: Randomization lowers the possibility of bias and leads to higher reliability in clinical research. To obtain more reliable research results, understanding the right concept and proposition of proper methodologies of randomization is essential for researchers.

• Journal of the Korea Society of Computer and Information
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• v.17 no.12
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• pp.149-158
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• 2012

Proposed is a hybrid randomizing function using two asymptotically optimal randomizing functions: Elias function and Peres function. Randomizing function is an mathematical abstraction of producing a uniform random bits from a source of randomness with bias. It is known that the output rate of Elias function and Peres function approaches to the information-theoretic upper bound. Especially, for each fixed input length, Elias function is optimal. However, its computation is relatively complicated and depends on input lengths. On the contrary, Peres function is defined by a simple recursion. So its computation is much simpler, uniform over the input lengths, and runs on a small footprint. In view of this tradeoff between computational complexity and output efficiency, we propose a hybrid randomizing function that has strengths of the two randomizing functions and analyze it.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.796-798
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• 2004

continuous n-tuple 알고리즘은 tuple의 무작위적 추출을 기본으로 한다. 무작위적 추출의 여러 가지 장점을 감안하더라도, 무작위적 추출을 통한 인식의 성능은 가변성물 가지게 된다. 그리고 무작위적 추출은 의미 있는 정보의 선택이 불가능하다는 단점을 가진다. 본 논문에서는 무작위적 추출이 가지는 설러 가지 약점을 보완하기 위해서, 유전 알고리즘을 이용하여 얼굴인식에 효과적인 tuple을 선택하여 사용하였다. 유전 알고리즘을 이용함으로서 얼굴 인식에 효과적이지 않은 tuple의 필터링 효과를 기대할 수 있다.

• Journal of Korea Game Society
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• v.21 no.1
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• pp.43-54
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• 2021

This study deals with the changes in negative emotions a player feels upon defeat according to the intensity of randomness. By changing the interface related to randomness, we checked how the interaction between the user and the game affects the user's experience. The subjects of this study were 30 students of the Dept. of Game Engineering. The research tool used randomness and negative emotion measurement tools. For the experiment, a board game called "12Janggi" was used, and randomness was added to the 'board' and 'piece' of the game. The analysis shows that proper randomness reduces negative emotions, but excessive randomness increases negative emotions. Although randomness can reduce the negative emotion of defeat, it can be seen that it should be applied to the context of the game.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.415-421
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• 2014

In this paper, we proposed problem and improvement of halftoning using random space filling curve. Random space filling curve is developed as a solution for shortcoming which space filling curve has self-similarity. It is used to reduce regular pattern can be occurred in constant brightness area in order that randomness apply to scanning path. But there is a problem that some area along scanning path can show too bright result in halftoning using random space filling curve. In this paper, we analyzed cause of problem and proposed single pixel error diffusion as a solution method. This method can avoid over-accumulated error and show better result in halftoning.

• The Journal of the Korea Contents Association
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• v.16 no.9
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• pp.451-459
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• 2016

While an object detection algorithm plays a key role in many computer vision applications, it requires extensive computation to show robustness under varying lightning and geometrical distortions. Recently, some approaches formulate the problem in a classification framework and show improved performances in object recognition. Among them, random fern algorithm drew a lot of attention because of its simple structure and high recognition rates. However, it reveals performance degradation under the illumination changes and noise addition, since it computes patch features based only on pixel intensities. In this paper, we propose a new structure of combined random fern which incorporates depth information into the conventional random fern reflecting 3D structure of the patch. In addition, a new structure of object tracker which exploits the combined random fern is also introduced. Experiments show that the proposed method provides superior performance of object detection under illumination change and noisy condition compared to the conventional methods.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.6
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• pp.205-212
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• 2015

SSH provides a secure, encrypted communication channel between two end point systems using public key encryption. But SSH brute force attack is one of the most significant attacks. This kind of attack aims to login to the SSH server by continually guessing a large number of user account and password combinations. In this paper, we analyze logs of SSH brute force attacks in 2014 and propose a failed-log based detection mechanism in high performance computing service environment.

• School Mathematics
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• v.12 no.4
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• pp.455-471
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• 2010

Understanding of randomness is essential for learning and teaching of probability and statistics. Understanding of randomness prompts to understand natural and social phenomena from the point of view of mathematics, and plays a role of base in understanding of judgments based on rational interpretation on these phenomena. This study examined whether pre-service teachers recognize this, and they understand randomness included in various contexts. According to results, they did not have a understanding of randomness in the context related to measuring, while they grasped randomness in simple and joint events. This implies that they lack the understanding of variability which is essential in the context of measuring. This study, therefore, suggests that the settings of measuring should be introduced into probability and statistics education, especially that data from measuring should be analyzed focusing on the variability in the data set.

• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.779-786
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• 2009

Lotto is one of the most popular lottery games in the world. In korea the lotto considers numbers 1, 2,..., 45 from which 6 numbers are drawn randomly, without replacement. The profits from the lotto supports social welfare. However, there has been a suspicion that the choice of the winning numbers might not be random. In this study, we applied the randomness test developed by Coronel-Brizio et al. (2008) to the historical korean lotto data to see if the drawing process is random. The result of our study shows that the process was random during two periods under the management of different business companies and of price changes, respectively.

• The Korean Journal of Financial Management
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• v.19 no.2
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• pp.159-185
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• 2002

한 시계열이 비정상적과정에 의해 생성될 때 이 시계열의 정상성을 확보하기 위하여 시계열의 차분을 수행한다. 이 시계열에 I(1)을 적용하여도 정상적과정이 되지 못하는 경우가 존재하고 있다. 그러면 이 시계열은 과도한 차분과정을 거치게 된다. 따라서 차분모수 d는 0