• Journal of Korea Multimedia Society
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• v.17 no.11
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• pp.1279-1285
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• 2014

In this paper, we propose on image encryption method which uses NC(Non-linear Cycle) and 2D CAT(Two-Dimensional Cellular Automata Transform) in sequence to encrypt medical images. In terms of the methodology, we use NC to generate a pseudo noise sequence equal to the size of the original image. We then conduct an XOR operation of the generated sequence with the original image to conduct level 1 NC encryption. Then we set the proper Gateway Values to generate the 2D CAT basis functions. We multiply the generated basis functions by the altered NC encryption image to conduct the 2nd level 2D CAT encryption. Finally, we verify that the proposed method is efficient and extremely safe by conducting an analysis of the key spatial and sensitivity analysis of pixels.

• Journal of Advanced Marine Engineering and Technology
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• v.19 no.4
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• pp.51-60
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• 1995

Along with the rapid development of automobile industry in this country the necessity of high quality braking material is ever increased to maintain the comfortness as well as the safety the passengers. Asbestos-based friction materials are banned in the developed countries because of their cancer-inducing effect. This study focuses on the development of non-acbestos friction material with acceptable properties such as wear resistant high temperature endurant and low-noise enducing. We have all the intermediate test results indicating the contribution of each additives. These are qualitatively analyzed. Manufacturing processes such as opening of the kevlar and degasing at elevated temperature is equally important to attain proper level of friction quality.

• Proceedings of the Korea Concrete Institute Conference
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• 2003.05a
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• pp.35-40
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• 2003

Immense quantities of coal combustion by-products are produced every year, and only a small fraction of them are currently utilized. The purpose of this study is to investigate reused techniques of coal to highly economic growth and expansion of country base industry. So, in this study, artificial aggregate was developed to recycle coal ash by non-sintering technique and crush method. And characteristic of developed artificial aggregate was examined. Also, noise barriers using developed artificial aggregate was made by link of development of ECO-construction product and is preparing sound absorption and transmission loss experiment. Result of study was showed that artificial aggregate was more proper to use a noise barriers and this is expected to satisfy sound absorption standard in this study. So, if shape and color considering surround and design technology is studied continuously, it can be expected to make ECO-precast product as well as maximize waste recycling.

• The Korean Journal of Applied Statistics
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• v.16 no.2
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• pp.365-376
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• 2003

In this paper we reviewed a variety of non-Gaussian time series models, and studied the model selection criteria such as AIC and BIC to select proper models. We also considered the likelihood ratio test and applied it to analysis of Polio data set.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.612-615
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• 2002

The objective of this study is to develop an integrated process planning system which can flexibly cope with the status changes in a shop floor by utilizing the concept of Non-Linear and Closed-Loop Process Planning(NCPP). In this paper, Genetic Algorithm(GA) is employed in order to quickly generate feasible setup sequences for minimizing the makespan and tardiness under an NCPP. The genetic algorithm developed in this study for getting the machine load utilizes differentiated mutation rate and method in order to increase the chance to avoid a local optimum and to reach a global optimum. Also, it adopts a double gene structure for the sake of convenient modeling of the shop floor. The last step in this system is a simulation process which selects a proper process plan among alternative process plans.

• Korean Journal of Community Nutrition
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• v.7 no.1
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• pp.14-22
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• 2002

Adolescent smoking has been a great concern with respect to it’s causing more serious health problems than adult smoking. The smoking status and habits of middle school students were studied using anonymous questionnaires, and their dietary habits were compared. Ninety-two of 4l4 students (22.2%) had experienced smoking, and 62.0% of them began in primary school, mostly out of curiosity. The most plausible reasons for smoking were ‘boredom’ and/or ‘stress reduction’. Dietary habits were generally inadequate in the smoking group. Compared with the non-smoking group, the smoking group paid less attention to a balanced diet, more skipped breakfasts, more had irregular meal times and fewer snacked. There was no significant difference between the smoking and non-smoking groups in food intake frequency, except of sweet foods and caffeinated foods, which were more frequent consumed by the smoking group. These results suggest that more attention needs to be paid to nutrition and health education programs in elementary schools and also that proper support programs for smoking by themselves.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.12A
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• pp.1177-1184
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• 2008

Non-line-of-sight (NLOS) propagation can severely weaken the accuracy of ranging and localization in wireless location systems. NLOS bias mitigation techniques have recently been proposed to relieve the NLOS effects, but positively rely on the capability to accurately distinguish between LOS and NLOS propagation scenarios. This paper proposes an energy-capture-based NLOS identification method for LDR-UWB systems, based on the analysis of the characteristics of the channel impulse response (CIR). With this proposed energy capture method, the probability of successfully identifying NLOS is much improved than the existing methods, such as the kurtosis method, the strongest path compare method, etc. This NLOS identification method can be employed in adaptive modulation scheme to decrease bit error ratio (BER) level for certain signal-to-noise ratio (SNR). The BER performance with the adaptive modulation can be significantly enhanced by selecting proper modulation method with the knowledge of channel information from the proposed NLOS identification method.

• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.1140-1141
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• 2006

Maglev is a non-contact traffic system in which cars are supported by magnetic force instead of wheels. This is a ground-breaking traffic system providing superior environmental friendliness and cost efficiency due to the minimal noise and vibration offered by its non-contacting nature. We study the present specification and performance of the low speed urban maglev system in Korea and other countries. After set up the test line, to success the "Commercialization of Korean Urban Maglev System" project, we establish proper requirement of maglev system in Korean environment on base of "Daejeon National Science Museum Maglev Establish Project".

• Journal of Korean Society of Water and Wastewater
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• v.24 no.5
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• pp.573-580
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• 2010

Average pressure in a pipe network is one of critical factors to estimate the flow distribution and to calculate UARL (Unavoidable Annual Real Losses) value in ILI (Infrastructure Leakage Index). While its collection period and measuring location are essential to obtain average pressure, their standard method have not been established so far. In this study, proper method including its procedure for data collection period and measuring point for average pressure were suggested using non-exceedance probability concept in the water distribution network.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.10 no.1
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• pp.31-36
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• 2010

Many clustering algorithms have been used in diverse fields. When we need to group given data set into clusters, many clustering algorithms based on similarity or distance measures are considered. Most clustering works have been based on hierarchical and non-hierarchical clustering algorithms. Generally, for the clustering works, researchers have used clustering algorithms case by case from these algorithms. Also they have to determine proper clustering methods subjectively by their prior knowledge. In this paper, to solve the subjective problem of clustering we make empirical comparisons of popular clustering algorithms which are hierarchical and non hierarchical techniques using Silhouette measure. We use silhouette information to evaluate the clustering results such as the number of clusters and cluster variance. We verify our comparison study by experimental results using data sets from UCI machine learning repository. Therefore we are able to use efficient and objective clustering algorithms.