• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.476-477
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• 2013

Gadget-2 is a scientific simulation code has been used for many different types of simulations like, Colliding Galaxies, Cluster Formation and the popular Millennium Simulation. The code is parallelized with Message Passing Interface (MPI) and is written in C language. There is also a Java adaptation of the original code written using MPJ Express called Java Gadget. Java Gadget writes a lot of checkpoint data which may or may not use the HDF-5 file format. Since, HDF-5 is MPI-IO compliant, we can use our MPJ-IO library to perform parallel reading and writing of the checkpoint files and improve I/O performance. Additionally, to add reliability to the code execution, we propose the usage of Hadoop Distributed File System (HDFS) for writing the intermediate (checkpoint files) and final data (output files). The current code writes and reads the input, output and checkpoint files sequentially which can easily become bottleneck for large scale simulations. In this paper, we propose Sim-Hadoop, a framework to leverage HDFS and MPJ-IO for improving the I/O performance of Java Gadget code.

• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.253-262
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• 2022

The purpose of this study is to investigate the influence of golf participants' major hitting factors on their consumption behavior characteristics and golf consumption behavior. To achieve this objective, the study subjects were set as the population aged 20 years or older who use golf courses and driving ranges in Gwangju Metropolitan City and Jeollanam-do, and then 158 males and 172 females using cluster random sampling. A total of 300 persons were selected as the study subjects. The survey tool was the questionnaire method, and among the tools that had already been used to verify the reliability and validity of the questionnaire in domestic and foreign previous studies, it was reused or modified or supplemented according to the variables of this study. The collected data were winter-processed according to the purpose of analysis using the SPSS statistical program as follows. The results obtained through this process are as follows. First, it was found that the major players participating in golf had partial differences in the characteristics of golf consumption behavior. Second, it was found that the major hitters participating in golf had a partial difference in their golf consumption behavior. Third, it was found that the golf consumption behavior characteristics of golf participants partially affected the golf consumption behavior.

• Journal of Korea Trade
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• v.24 no.5
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• pp.55-70
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• 2020

Purpose - This paper aims to examines the various factors influencing the purchase decisions of Malaysian consumers for halal food and based on this analysis, to present some measures by which Korea's food industry could expand exports to the Malaysian market. Design/methodology - This research used SPSS 12.0 for descriptive analysis, ANOVA, t-tests, factor analysis, cluster analysis, and reliability analysis based on a total of 571 responses were included as the final data in the 600 surveys administered. Findings - Malaysian consumers had high trust and confidence in products that had obtained halal certifications. This reflects the cultural situation where 61% of the Malaysian population consist of Muslims. In terms of the consumption of Korean foods, items such as ramyeon, confectionery, and kimchi were found to enjoy high awareness and strong preference among local consumers, thus suggesting their competitiveness. Originality/value - This paper attempts to examine consumer characteristics - an aspect that had received insufficient treatment in previous studies on halal certifications in Muslim countries. This study found the purchase practices and influencing factors behind Malaysian consumers' purchases of imported foods and Korean foods. Therefore, it is expected that this result can give Korean food industry an insights and strategies for exporting Korean food to Malaysia.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.570-578
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• 2021

Recently, in the field of engineering and scientific and technical calculations, problems of mathematical modeling, real-time problems, there has been a tendency towards rejection of sequential solutions for single-processor computers. Almost all modern application packages created in the above areas are focused on a parallel or distributed computing environment. This is primarily due to the ever-increasing requirements for the reliability of the results obtained and the accuracy of calculations, and hence the multiply increasing volumes of processed data [2,17,41]. In addition, new methods and algorithms for solving problems appear, the implementation of which on single-processor systems would be simply impossible due to increased requirements for the performance of the computing system. The ubiquity of various types of parallel systems also plays a positive role in this process. Simultaneously with the growing demand for parallel programs and the proliferation of multiprocessor, multicore and cluster technologies, the development of parallel programs is becoming more and more urgent, since program users want to make the most of the capabilities of their modern computing equipment[14,39]. The high complexity of the development of parallel programs, which often does not allow the efficient use of the capabilities of high-performance computers, is a generally accepted fact[23,31].

• Journal of Preventive Medicine and Public Health
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• v.55 no.6
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• pp.595-603
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• 2022

Objectives: Poor menstrual health may lead to school absenteeism and adverse health outcomes for adolescents. The purpose of this study was to determine the effect of pubertal and menstrual health education on health and preventive behaviors among Iranian secondary school girls. Methods: A quasi-experimental study was conducted to evaluate the effectiveness of a health intervention program. A total of 578 students (including intervention and control participants) in 12 schools in Tehran Province, Iran were included by multistage random sampling. The program comprised seven 2-hour educational sessions. After confirming the reliability and validity of a researcher-made questionnaire, that questionnaire was used to collect the required data, and the groups were followed up with after 6 months. Results: After the educational intervention, the mean scores of menstrual health-related knowledge and constructs of the theory of planned behavior were significantly higher in the intervention group than in the control group (p<0.001 for all dimensions). Conclusions: The results of this study emphasize the effectiveness of menstrual health interventions in schools. These findings should also encourage health policy-makers to take committed action to improve performance in schools.

• Smart Structures and Systems
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• v.29 no.2
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• pp.321-336
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• 2022

Model uncertainty is a key factor that could influence the accuracy and reliability of numerical model-based analysis. It is necessary to acquire an appropriate updating approach which could search and determine the realistic model parameter values from measurements. In this paper, the Bayesian model updating theory combined with the transitional Markov chain Monte Carlo (TMCMC) method and K-means cluster analysis is utilized in the updating of the structural model parameters. Kriging and polynomial chaos expansion (PCE) are employed to generate surrogate models to reduce the computational burden in TMCMC. The selected updating approaches are applied to three structural examples with different complexity, including a two-storey frame, a ten-storey frame, and the national stadium model. These models stand for the low-dimensional linear model, the high-dimensional linear model, and the nonlinear model, respectively. The performances of updating in these three models are assessed in terms of the prediction uncertainty, numerical efforts, and prior information. This study also investigates the updating scenarios using the analytical approach and surrogate models. The uncertainty quantification in the Bayesian approach is further discussed to verify the validity and accuracy of the surrogate models. Finally, the advantages and limitations of the surrogate model-based updating approaches are discussed for different structural complexity. The possibility of utilizing the boosting algorithm as an ensemble learning method for improving the surrogate models is also presented.

• Human Ecology Research
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• v.60 no.4
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• pp.521-533
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• 2022

Using Bernd H. Schmitt's experiential modules, this study investigated the effect of shopping value on recognizing the importance of customer experience. A survey was conducted with 400 adults aged in their 20s to 50s. To analyze the data, factor analysis, a reliability test, cluster analysis, and ANOVA were conducted. The results were as follows. First, the shopping values exhibited by sportswear consumers were a utilitarian shopping value and a hedonic shopping value. Through these, consumers were classified into four groups: a shopping value-oriented group, a utilitarian shopping value group, a shopping value-unconcern group, and a hedonic shopping value group. Second, the customer experience consisted of five factors: sensory experience, emotional experience, cognitive experience, behavioral experience, and relational experience. Third, a significant difference was observed in customers' perceived experiences according to shopping value type. In the shopping value-oriented group, all customer experiences were generally considered important, followed by the hedonic shopping value group and the shopping value-unconcern group, with the utilitarian shopping value group least likely to perceive customer experiences as important. In addition, cognitive and emotional experiences were rated highest among the five experiences, indicating that these were the most important store experiences among the various customer experience components.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.82-93
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• 2023

The purpose of this study is to investigate the effect of female college students' participation in dance sports on their perception of body attractiveness and their desire for exercise. In order to achieve the purpose of this study, female college students residing in Gwangju Metropolitan City and Jeonnam in 2022 were selected as the population, and a total of 390 students were selected as study subjects using cluster random sampling. A total of 300 participants, 170 participants in dance sports and 130 non-participants, were selected as study subjects, excluding 90 copies of double entry and insincere data. As a survey tool, the questionnaire whose reliability and validity had already been verified in previous domestic and foreign studies was modified and supplemented to suit the purpose of this study. The collected data were computerized according to the purpose of analysis using SPSS Windows 20.0 Version, a statistical program. The results obtained through this procedure are as follows. First, there were partial differences in physical evaluation according to demographic characteristics. Second, there was a partial difference in exercise desire according to demographic characteristics. Third, physical evaluation was found to partially affect exercise desire.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.4
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• pp.1276-1295
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• 2023

Sensor networks are now an essential aspect of wireless communication, especially with the introduction of new gadgets and protocols. Their ability to be deployed anywhere, especially where human presence is undesirable, makes them perfect choices for remote observation and control. Despite their vast range of applications from home to hostile territory monitoring, limited battery power remains a limiting factor in their efficacy. To analyze and transmit data, it requires intelligent use of available battery power. Several studies have established effective routing algorithms based on clustering. However, choosing optimal cluster heads and similarity measures for clustering significantly increases computing time and cost. This work proposes and implements a simple two-phase technique of route creation and maintenance to ensure route reliability by employing nature-inspired ant colony optimization followed by the fuzzy decision engine (FDE). Benchmark methods such as PSO, ACO and GWO are compared with the proposed HRCM's performance. The objective has been focused towards establishing the superiority of proposed work amongst existing optimization methods in a standalone configuration. An average of 15% improvement in energy consumption followed by 12% improvement in latency reduction is observed in proposed hybrid model over standalone optimization methods.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.256-266
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• 2023

The purpose of this study is to investigate the relationship between stress and school life adaptation according to the degree of participation in physical education class and perception of middle school students. In order to achieve this research objective, the subjects of this study were sampled using cluster random sampling from male and female students attending middle schools in Gwangju Metropolitan City and Jeollanam-do in 2020. 150 males and 150 females, a total of 300 people were sampled. The statistical analysis used for data analysis was frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis using SPSS Windows 21.0 Version. The conclusions obtained in this study through data analysis by such methods and procedures are as follows. First, it was found that middle school students' participation in physical education classes and perceptions had a partial effect on stress. Second, it was found that the degree of participation and awareness of middle school students' physical education class had a partial effect on their adaptation to school life. Third, middle school students' stress was found to have a partial effect on school life adaptation.