• Korean Institute of Interior Design Journal
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• v.25 no.1
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• pp.132-141
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• 2016

For those with disabilities, the residential area is the primary place to adapt the disabilities. Since the quality of the area gives a critical impact on their quality of life, it is essential to finding the measures to create the residential environment that supports their independence. In this regard, this study aimed to compare and analyze the interior elements of the houses that hinder the independence of the physically handicapped in the rural and urban areas, and conducted a survey on a total of 80 physically challenged in Seoul and Yeongwol (40 for each area). As a result, the respondents answered that the houses where they are currently living are hindering their independence regardless of area, and there were regional differences in the level of inconvenience with the size of living room, size of utility room, location of room, lighting and heating environment, ventilation system, deteriorated wallpapers and finishing materials, threshold and floor level difference and humidity control. This study has significance by providing the realistic measures to improve the housing environment of the physically challenged living in the rural and urban areas to be customized to them to increase their quality of life.

• Journal of Internet of Things and Convergence
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• v.2 no.3
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• pp.25-30
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• 2016

The issued problem in the existed NFC authentication system is the security problem caused by the fixed key and the inconvenience occurred by the extra NFC tag. This paper aims to enhance the security level through OTP system added up the key generation mechanism and the convenience level by the integrated Android App. This proposed authentication system on Arduino will be widely applied to IoT security and will be used on diverse applications.

• International Journal of Reliability and Applications
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• v.7 no.2
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• pp.101-110
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• 2006

Let E be a set of n quantitative observations under the time control. The interval of time is to be split into several subintervals such that the observations in each subinterval are almost similar, whereas the observations between the subintervals are very dissimilar. The corresponding time-subintervals become periods or phases of the development that exist in the underlying phenomenon. Aboukalam(2005) proposes a robust solution based on some initial subintervals and a technique for combining any two successive groups in that starter using a t-test under a fixed significant level ($\alpha$). The inconvenience is that; the technique reliability is not released from the level $\alpha$ which must not be defined apart from the number of the periods that is, in its turn, unknown. To avoid this, we propose what so called; most significant periods solution. The new technique constructs its own initial subintervals and uses another way for combining the groups. However, the way of determining and treating outliers has not changed. This paper conducts many empirical simulations using different possible time dominated data in order to illustrate the reliability of the proposed technique. Finally, we apply both techniques on some real time dominated data to explain the advantage of the proposal.

• Journal of Korea Multimedia Society
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• v.22 no.6
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• pp.695-705
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• 2019

The level of psychological damage caused by verbal abuse among cyberbully victims is very serious. It is going to introduce a system that determines the level of sanctions against chatting in real time using the automatic prohibited words filtering based on artificial neural network. In this paper, we propose a keyword filtering method that detects the modified prohibited words and determines whether the corresponding chat should be sanctioned in real time, and a real-time chatting screening system using it. The accuracy of filtering through machine learning was improved by processing data in advance through coding techniques that express consonants and vowels of similar pronunciation at close distances. After comparing and analyzing Mahalanobis-based clustering algorithms and artificial neural network-based algorithms, algorithms that utilize artificial neural networks showed high performance. If it is applied to Internet chatting, comments or online games, it is expected that it will be able to filter more effectively than the existing filtering method and that this will ease communication inconvenience due to existing indiscriminate filtering methods.

• Journal of Korea Multimedia Society
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• v.23 no.10
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• pp.1270-1285
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• 2020

As a representative concept of the fourth industrial revolution era where everything is digitized, digital twin means analyzing and optimizing a complex system using a simulation model synchronized with the system. In this paper, we propose a digital twin simulation model for the efficient operation of urban railways in Busan. Due to the geopolitical nature of Busan, where there are many mountains and narrow roads, the railways are more useful than other public transportation. However, this inversely results in a high level of congestion, which is an inconvenience to citizens and may be fatal to the spread of the virus, such as COVID19. Considering these characteristics, the proposed model analyzes the congestion level of the railways in Busan. The model is developed based on a mathematical formalism called discrete-event system specification and deduces the congestion level and the average waiting time of passengers depending on the train schedule. In addition, a new schedule to reduce the congestion level is derived through particle swarm optimization, which helps the efficient operation of the railways. Although the model is developed for the railways in Busan, it can also be used for railways in other cities where a high level of congestion is a problem.

• Journal of the Korea Society for Simulation
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• v.27 no.3
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• pp.37-44
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• 2018

In applying modeling and simulation (M&S) techniques to analyze complex discrete event dynamic systems, conventionally users had to use different simulation environments depending on the user-level. To solve the inconvenience, this paper proposes an integrated development environment for M&S depending on user-level and a formalized interface to manage the model in the development environment efficiently. The interface consists of an extended DEVS formalism and model making rules. The development environment is divided into a modeling environment and a simulation environment. In the modeling environment, three modeling methods are provided for each level of the users. Users inputs several parameters to the model generated as a result of the modeling process, and experiments in various cases by using the simulation environment. The case study shows the implementation of the proposed M&S environment, and using the implemented environment, it shows the M&S process of the complex defense combat system.

• Journal of Convergence for Information Technology
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• v.11 no.2
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• pp.130-137
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• 2021

The purpose of this study is to explore methods to prevent and improve the problem of overdependence on smartphones by analyzing the differences in satisfaction with college life satisfaction of freshmen. For this, data on freshmen of KCYPS were extracted and used. The data were analyzed using non-hierarchical cluster(K-means) analysis, T-test, one-way ANOVA, and Scheffé tests. The results of this study are as follows. First, it has been shown that freshmen who are overdependent on smartphones experience inconvenience in their daily life, withdrawal and anxiety, and resistance. Second, there is no significant difference in the level of satisfaction with college life according to gender(t=-.015, p<.05). Third, it is shown that the level of satisfaction with college life of overdependent freshmen on smartphone is significantly lower compared to that of average and moderate dependent freshmen. Based on the results, it was suggested that university-level efforts such as emotional support and learning strategy support are needed for freshmen who are overdependent on smartphones.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1353-1362
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• 2023

Various methods are being attempted to resolve the inconvenience of blood glucose meters used to check blood sugar levels. In this paper, we attempted to estimate blood sugar levels non-invasively using machine learning technology from spectral data acquired using a near-infrared sensor. The non-invasive blood glucose meter used in the study has a total of six near-infrared ray emitters, including visible rays, and a light receiver that receives them. It is a device created to collect spectral data on specific parts of the human body, such as the fingers. To verify whether there was a significant difference depending on blood sugar level, we attempted to estimate blood sugar level through machine learning algorithms. As a result of applying five machine learning algorithm techniques to the collected data and adjusting various hyper parameters, it was confirmed that the support vector regression algorithm showed the best performance.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.4
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• pp.44-49
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• 2017

There are many battery-based wearable devices for healthcare and medical applications, but there is a user's inconvenience to charge battery frequently due to insufficient power management. In this paper, we propose a tickless-based operating system and power management algorithm that can effectively utilize the power management provided by HW, and propose a cold restart method that consumes the minimum power at the board level. The operating system of the proposed technique has reduced the power consumption from 2 times to 33 times in the four scenarios modeling the wearable device application compared to the existing operating system.

• The Journal of the Korean dental association
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• v.49 no.11
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• pp.670-678
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• 2011

Various sorts of dental devices for the dental treatment have been introduced and adopted during past several years. Dental Laser, among all devices, seems to be possible for applying to over the whole treatments and widely employed. Furthermore, this article is to introduce that Dental Laser is intended to care patients secured with the effectual treatment against Conventional procedures based upon its studies. The advantages of Dental Laser treatment-along with LLLT (Low Level Laser Therapy) effect, biostimulation effect, and minimal invasive technique - make the patients reduce their fear of the operation, lighten the inconvenience of post operation, and shorten the treatment period. In particular, it is worth considering that the use of laser-assisted therapies is associated with a marked reduction in the use of analgesics and anti-inflammatory medications compared with conventional procedures. This article is to state advantages and differences of Dental Laser treatment compared with Conventional procedures, and to emphasize to become well-acquainted with the precautions for safety and effective Dental Laser treatment. In case of operating Dental Laser with lack of the instructions, it will cause the unpredicted fatal results; therefore this treatment requires special care in its operation. Henceforward, it is anticipated that infinite treatment protocols will be introduced by applying Dental Laser, and this is to address the utilization of Dental Laser.