• 한국산업융합학회 논문집
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• 제10권3호
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• pp.165-169
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• 2007

Prediction of fatigue duration is attainable from the analysis of the growth rate of the fatigue crack, and the property of the fatigue crack growth is determined by the calculation of the stress intensity factor. And the evaluation of the stress intensity factor, K comes from the stress analysis of the vicinity of crack tip of the continuum. This study describes a simple method to decide the stress intensity factor for the small crack at the sharp edge notches. The proposed method is based on the similarities between elastic stress fields of the notch tip described by two parameters, the stress concentration factor K, the radius of arc of the notch. And it is applicable to the analysis of the semi-elliptical penetration cracks and the edge notches.

• Journal of Sport and Applied Science
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• 제4권3호
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• pp.1-10
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• 2020

Purpose: This study is to explore which genre of sports culture contents will show the most consistent growth in the future and analyse the development outlook based on those results. Research design, data, and methodology: Case study was used for this research as it seemed to be the most appropriate approach in order to obtain the most complete and meaningful information from a particular phenomenon. A total of 15 participants were chosen to participate in a semi-structured in-depth interview and the recordings were typed out as text. In order to ensure validity and credibility of findings, peer and member check were conducted. Results: As a result, the sports culture content that is most likely to consistently grow in the future is games. Additionally, it is expected that sports culture contents will develop as new categories of sports culture contents emerge, as the evolution of sports culture content occurs through the combination with technology, as well as the activation of sensual sports contents, and the production of sports culture contents utilizing big data. Conclusions: It is concluded that convergence of sport, cultural contents, and technology will promptly progress, and it will promote the development of sport culture contents and related industry.

• 융합보안논문지
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• 제8권1호
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• pp.91-100
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• 2008

The previous works in sensor networks security have focused on the aspect of confidentiality, authentication and integrity based on cryptographic primitives. There has been no prior work to assess the survivability in systematic way. Accordingly, this paper presents a survivability model of wireless sensor networks using software rejuvenation for dual adaptive cluster head. The survivability model has state transition to reflect status of real wireless sensor networks. In this paper, we only focus on a survivability model which is capable of describing cluster head compromise in the networks and able to switch over the redundant cluster head in order to increase the survivability of that cluster. Second, this paper presents how to enhance the survivability of sensor networks using software rejuvenation methodology for dual cluster head in wireless sensor network. We model and analyze each cluster as a stochastic process based on Semi Markov Process (SMP) and Discrete Time Markov Chain (DTMC). The proof of example scenarios and numerical analysis shows the feasibility of our approach.

• 대한수학회지
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• 제45권5호
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• pp.1393-1404
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• 2008

Let K be a nonempty closed convex subset of a Banach space E. Suppose $\{T_{n}\}$ (n = 1,2,...) is a uniformly asymptotically regular sequence of nonexpansive mappings from K to K such that ${\cap}_{n=1}^{\infty}$ F$\(T_n){\neq}{\phi}$. For $x_0{\in}K$, define $x_{n+1}={\lambda}_{n+1}x_{n}+(1-{\lambda}_{n+1})T_{n+1}x_{n},n{\geq}0$. If ${\lambda}_n{\subset}[0,1]$ satisfies $lim_{n{\rightarrow}{\infty}}{\lambda}_n=0$, we proved that $\{x_n\}$ weakly converges to some $z{\in}F\;as\;n{\rightarrow}{\infty}$ in the framework of reflexive Banach space E which satisfies the Opial's condition or has $Fr{\acute{e}}chet$ differentiable norm or its dual $E^*$ has the Kadec-Klee property. We also obtain that $\{x_n\}$ strongly converges to some $z{\in}F$ in Banach space E if K is a compact subset of E or there exists one map $T{\in}\{T_{n};n=1,2,...\}$ satisfy some compact conditions such as T is semi compact or satisfy Condition A or $lim_{n{\rightarrow}{\infty}}d(x_{n},F(T))=0$ and so on.

• 한국멀티미디어학회논문지
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• 제19권7호
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• pp.1107-1115
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• 2016

Efficient Market Hypothesis (EMH), states that at any point in time in a liquid market security prices fully reflect all available information. This paper presents a study of proving the hypothesis through daily Twitter sentiments using the hybrid approach of the lexicon-based approach and the naïve Bayes classifier. In this research we analyze the currency exchange rate movement of Indonesia Rupiah vs US dollar as a way of testing the Efficient Market Hypothesis. In order to find a correlation between the prediction sentiments from Twitter data and the actual currency exchange rate trends we collect Twitter data every day and compute the overall sentiment to label them as positive or negative. Experimental results have shown 69% correct prediction of sentiment analysis and 65.7% correlation with positive sentiments. This implies that EMH is semi-strong Efficient Market Hypothesis, and that public information provide by Twitter sentiment correlate with changes in the exchange market trends.

• 한국산업융합학회 논문집
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• 제10권1호
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• pp.27-32
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• 2007

It has been recently reported that the SERS (Surface Enhanced Raman Scattering) effect of the silver mirror substrate made by Tollen's method is much superior to that of other substrates. In this study, the experiments for comparison of surface enhancement of silver sol and silver mirror substrates were done, where we checked the characteristics of silver mirror substrate made by Tollen's method. The surface enhancement of fluorescein was analyzed by silver sol and silver mirror substrates. We observed the SERS spectra of fluorescein. The assignments of the vibrational bands shown in SERS spectra are given based on both literature and the semi-empirical calculations at the PM3 methods. The surface enhancement properties for fluorescein showed that the silver mirror was more superior to sliver sol substrates. Spectra of fluorescein revealed that fluorescein was adsorbed on silver surfaces by a common oxygen atom. According to the 'surface selection rule', the vibrations in the band intensities reflect the adsorption orientation of the molecule on to the surface of SERS substrates. Therefore, we deduced that the adsorption orientation of fluorescein was little tilted perpendicular to the silver surfaces by using of the surface selection rules.

• 식품보건융합연구
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• 제5권5호
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• pp.1-10
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• 2019

This study examined the physical activity and dietary patterns of university students in Nairobi County and compared to their weight status. The study was a cross-sectional analytical design with a sample of 260 undergraduate students randomly selected from two private and two public universities. A semi-structured questionnaire was used to gather information from students. Students weight and height measurements were also obtained. Data was analyzed using SPSS version 22. The study results showed that 53.5% of the students met the recommended levels of moderate physical activity and 18.8% of the students met the recommended levels of vigorous physical activity. Majority of the students consumed fast foods sweetened beverages and pastries most times in a week. The study also showed that 31.2% of the students were overweight and 6.2% were obese. The study reveals that most students did not achieve the recommended levels of vigorous physical activity and showed some poor dietary patterns. Findings show clear evidence of high prevalence of overweight among university students but focus should be on fitness rather than fatness. Efforts should be made to promote physical activity participation and good dietary practices within university environments.

• 한국융합학회논문지
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• 제10권2호
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• pp.201-206
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• 2019

해안 영역에서의 해수의 범람은 재산 및 인명피해를 야기한다. 이러한 피해를 최소화 하고자 방파시설을 설치하지만, 고정식 방파시설의 경우, 변화하는 해상상태에 대응할 수 없으며, 과도한 설정에 의한 설치는 환경적 피해를 일으킨다. 본 연구에서는 환경적 피해를 줄이고 선박의 항행에 지장이 없는 가변식 초기 쇄파 장치에 대한 연구를 실험적 방법과 입자법을 이용한 수치 해석적 방법으로 연구하였다. 초기 쇄파 장치의 유무에 따라 해안절벽으로 넘어오는 파의 범람은 큰 차이가 있었으며, 이는 실험과 수치 해석 모두 확인되었다. 또한 초기 쇄파 장치의 위치에 따른 영향 역시 고려되었으며, 위치 역시 중요한 요소임이 확인되었다.

• Nuclear Engineering and Technology
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• 제54권10호
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• pp.3833-3840
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• 2022

A method for calibrating the energy scale and detection efficiency of stilbene scintillators is presented herein. This method can be used to quantitatively analyze the Compton continuum of gamma-ray spectra obtained using such scintillators. First, channel-energy calibration was conducted by fitting a semi-empirical equation for the Compton continuum to the acquired energy spectrum and a new method to evaluate the intrinsic detection efficiency, called intrinsic Compton efficiency, of stilbene scintillators was proposed. The validity of this method was verified by changing experimental conditions such as the number of sources being measured simultaneously and the detector-source distance. According to the energy calibration, the standard error for the estimated Compton edge position was ±1.56 keV. The comparison of the intrinsic Compton efficiencies calculated from the single- and two-source spectra showed that the mean absolute difference and the mean absolute percentage difference are 0.031 %p and 0.557%, respectively, demonstrating reasonable accuracy of this method. The feasibility of the method was confirmed for an energy range of 0.5-1.5 MeV, showing that stilbene scintillators can be used to quantitatively analyze gamma rays in mixed-radiation fields.

• 인터넷정보학회논문지
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• 제24권6호
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• pp.1-11
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• 2023

Federated learning (FL) is a ground breaking machine learning paradigm that allow smultiple participants to collaboratively train models in a cloud environment, all while maintaining the privacy of their raw data. This approach is in valuable in applications involving sensitive or geographically distributed data. However, one of the challenges in FL is dealing with heterogeneous and non-independent and identically distributed (non-IID) data across participants, which can result in suboptimal model performance compared to traditionalmachine learning methods. To tackle this, we introduce FedGCD, a novel FL algorithm that employs Graph Neural Network (GNN)-based community detection to enhance model convergence in federated settings. In our experiments, FedGCD consistently outperformed existing FL algorithms in various scenarios: for instance, in a non-IID environment, it achieved an accuracy of 0.9113, a precision of 0.8798,and an F1-Score of 0.8972. In a semi-IID setting, it demonstrated the highest accuracy at 0.9315 and an impressive F1-Score of 0.9312. We also introduce a new metric, nonIIDness, to quantitatively measure the degree of data heterogeneity. Our results indicate that FedGCD not only addresses the challenges of data heterogeneity and non-IIDness but also sets new benchmarks for FL algorithms. The community detection approach adopted in FedGCD has broader implications, suggesting that it could be adapted for other distributed machine learning scenarios, thereby improving model performance and convergence across a range of applications.