• Journal of Software Assessment and Valuation
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• v.16 no.2
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• pp.53-62
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• 2020

In the end-user domain of an IoT environment, there are more and more intelligent M2M devices that provide resources to create and share application services. Therefore, it can be very useful to manage trust by transferring the role of the existing centralized service provider to end users in a P2P environment. However, in a decentralized M2M computing environment where end users independently provide or consume services, mutual trust building is the most important factor. This is because malicious users trying to build malfunctioning services can cause security problems in M2M computing environments such as IoT. In this paper, we provide an integrated analysis and approach for trust evaluation of M2M application services, and an optimized trust evaluation model that can guarantee reliability among users of the M2M community.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.161-168
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• 2021

Recently, many cognitive training programs based on digital contents have been presented, but few digital contents have been produced for children with intellectual disabilities among children with developmental disabilities. Digital contents based training programs are needed to apply remotely untact training programs rather than face-to-face apprenticeship classes for improving the cognition of children with intellectual disabilities. This study was attempted to present the new cognitive training program by analyzing concurrent validity, which was analyzed by the correlation between items by comparing with subtests of K-WISC-IV and items of game based Neuro-World cognitive training program. It was found that there are some validity by analyzing correlation between the subtests of K-WISC-IV and the items of Neuro-World program, which means that it has concurrent validity of some items of Neuro-World program. In terms of reliability, the Cronbach alpha value was 0.794, indicating that game performance of children with intellectual disabilities and the degree of level increase in each game were somewhat reliable. This is considered to be a significant result in future studies for clinical trials of cognitive training tools.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.959-969
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• 2022

This study aims to explore the effect of quality factors and customer involvement on users' intention to purchase in the live-commerce context. For this purpose, statistical methods such as reliability test, factor analysis, ANOVA, regression analysis were carried out using the survey data from live-commerce users. The quality factors of live-commerce were classified into contents, system, service, and show host characteristics, and customer involvement was analyzed by dividing it into product involvement and service involvement. The results showed that each quality factor of live-commerce had a significant positive effect on the intention to purchase. On the other hand, customer product involvement had a significant moderating effect on content and system quality, service involvement had a significant moderating effect on service and show host characteristics. The degree of each quality factor on intention to purchase was higher as customer involvement was higher. Theoretical and practical implications were drawn from these findings.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.705-712
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• 2022

The pandemic over the past three years has brought drastic changes in our lives, and those changes are now becoming a natural part of our daily lives. Daily life and economic activities based on online, such as video conferencing, remote classes, telecommuting, and online streaming services, have become daily routines after Corona. And the result of rapid development of communication and graphic technology is the metaverse. Therefore, the purpose of this study is to study the possibility from the perspective of public design for the correct use of the metaverse space of local governments. To this end, in this study, big data analysis was performed on 'local government', 'public design', and 'metaverse'. As a result of this study, we should actively use metaverse with high topic and potential as a space for local governments' promotion or discussion as a means to restore the reliability of local governments and overcome negative perceptions. In addition, it is necessary to actively reflect public design in order to increase the public reliability of local governments' metaverse.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.2
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• pp.103-111
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• 2023

This paper proposes a new data correction technique that transforms anomalies in time series data into normal values. With the recent development of IT technology, a vast amount of time-series data is being collected through sensors. However, due to sensor failures and abnormal environments, most of time-series data contain a lot of anomalies. If we build a predictive model using original data containing anomalies as it is, we cannot expect highly reliable predictive performance. Therefore, we utilizes the LSTM-GAN model to detect anomalies in the original time series data, and combines DTW (Dynamic Time Warping) and GAN techniques to replace the anomaly data with normal data in partitioned window units. The basic idea is to construct a GAN model serially by applying the statistical information of the window with normal distribution data adjacent to the window containing the detected anomalies to the DTW so as to generate normal time-series data. Through experiments using open NAB data, we empirically prove that our proposed method outperforms the conventional two correction methods.

• Journal of the Korean Society of Propulsion Engineers
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• v.27 no.1
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• pp.49-57
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• 2023

The autogenous pressurization has been widely adopted for propulsion systems of next-generation reusable rockets due to its low cost and high reliability. The autogenous pressurization has a simple structure, but an understanding of the heat and mass transfer occurring inside the tank is essential. For this reason, a simulation test of the autogenous pressurization was conceived. The experiment equipment was constructed based on overseas pressurization test facilities cases and expert advice. Unlike the actual autogenous pressurization system, the propellant tank was insulated to exclude external influences. The pressurized gas supply line and the propellant pipe were separated. Using the manufactured autogenous pressure experiment equipment, it is possible to evaluate the condensation phenomenon of pressurants in cryogenic propellants, comparison of the efficiency of pressurization using helium and evaporated gas and the pressurization capacity according to the temperature of pressurant.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.429-429
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• 2023

우리나라의 물 관련 정책 방향이 환경 중심의 수자원 관리에서 친수공간 및 정보의 확보와 같은 안전한 물관리로 확대되면서 정책추진에 기초가 될 수 있는 신뢰도 높은 수문자료의 생산이 보다 중요시되고 있다. 국가 수문조사사업은 이러한 정책기조에 맞춰 제도적인 뒷받침과 함께 조사의 범위와 기술, 품질관리 등의 영역을 넓히며 그 기능을 활발히 하고 있으나, 물관리 정책의 경향에 따른 수문조사사업의 방향성과 특징을 구조적으로 살펴본 연구는 부족한 것으로 파악된다. 따라서 본 연구는 친수·친환경적 물관리가 강조된 시기('97~현재)를 중점으로 하여 물관리 정책과 관련 계획의 변화가 수문조사사업에 어떠한 영향을 주는지 고찰하였다. 이를 위해 물관리 여건의 변화에 따라 달라진 관련 정책별 주제어의 분포와 수문조사사업과 연관된 주요어의 출현빈도 및 경향을 살펴보고, 주요 연관어와 연계한 사업의 방향과 구조를 분석하였다. 분석자료로는 물관리 관련 법령 등의 제도와 언론기사자료, 정책별 추진방향을 활용하였다. 정책의 추진방향은 1) 수자원의 종합적 개발에서 친환경적 측면과 지속가능성이 강조된 수자원장기종합계획(3-1차~4-3차)과 2) 사람과 자연이 함께 고려된 맑고 안전한 물, 통합물관리 등의 전략이 수록된 국가물관리기본계획(1차), 3) 정책의 기조에 따라 수립 및 보완된 수문조사 기본계획(1~2차)을 바탕으로 하였다. R프로그램을 통한 텍스트 마이닝을 활용하여 각 자료에서의 주제어 분포와 출현빈도를 분석하고, 정책별 추진방향과 수문조사사업의 연계성을 나타내었다. 연구의 함의를 담은 결과로서 물관리 여건이 변화된 시점별 주요연관어를 중심으로 한 정책동향과 수문조사사업의 특징 및 방향을 요약·비교하여 제시하였으며, 이는 물관리 분야에서의 국정운영 목표와 연계하여 국가 수문조사사업의 사업성을 고찰하는 연구의 기반이 될 수 있으리라 생각된다.

• Journal of the Korean Geotechnical Society
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• v.22 no.11
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• pp.101-111
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• 2006

Slope stability analysis is a geotechnical engineering problem characterized by many sources of uncertainty. Some of them are connected to the variability of soil properties involved in the analysis. In this paper, a numerical procedure of probabilistic analysis of slope stability is presented based on Spencer's method of slices. The deterministic analysis is extended to a probabilistic approach that accounts fur the uncertainties and spatial variation of the soil parameters. The procedure is based on the first-order reliability method to compute the Hasofer-Lind reliability index and Monte-Carlo Simulation. A probabilistic stability assessment was performed to obtain the variation of failure probability with the variation of soil parameters in homogeneous and layered slopes as an example. The examples give insight into the application of uncertainty treatment to the slope stability and show the impact of the spatial variability of soil properties on the outcome of a probabilistic assessment.

• Journal of the Korean Geotechnical Society
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• v.22 no.7
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• pp.45-54
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• 2006

Resistivity cone penetrometer test (RCPT) can be employed at a relatively low cost for in-situ delineation of subsurface contamination. While the resistivity measurement has a potential to investigate the subsurface contamination, resistivity measurements alone will lead to some degree of ambiguity in the results. In this study, capacitance measurement was incorporated into the RCPT to overcome the ambiguity inherent in electrical resistivity measurements. This study is focused on verifying the applicability of resistivity and capacitance measurements of CPT module to provide information on subsurface contaminated by heavy metal and petroleum hydrocarbon. Laboratory model tests were performed to evaluate the sensitivity of the measured resistivity and relative capacitance on the water content and different types of contaminants. Test results show that simultaneous measurement of electrical resistivity and capacitance can give more reliable information on subsurface contamination. Electrical measurements of the CPT module showed high applicability to be used in detecting saturated soils contaminated by heavy metal and diesel plume floating above the groundwater table.

• Journal of the Korea Society of Computer and Information
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• v.14 no.8
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• pp.1-9
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• 2009

In this paper, make a study decision problem called an optimal release policies after testing a software system in development phase and transfer it to the user. When correcting or modifying the software, because of the possibility of introducing new faults when correcting or modifying the software, infinite failure non-homogeneous Poisson process models presented and propose an optimal release policies of the life distribution applied fixed shape parameter distribution which can capture the increasing/decreasing nature of the failure occurrence rate per fault. In this paper, discuss optimal software release policies which minimize a total average software cost of development and maintenance under the constraint of satisfying a software reliability requirement. In a numerical example, after trend test applied and estimated the parameters using maximum likelihood estimation of inter-failure time data, make out estimating software optimal release time