• Journal of the Korea Society for Simulation
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• v.14 no.3
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• pp.91-100
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• 2005

Grid computing is widely applicable to various fields of industry including process control and manufacturing, military command and control, transportation management, and so on. In a viewpoint of application area, grid computing can be classified to three aspects that are computational grid, data grid and access grid. This paper focuses on computational grid which handles complex and large-scale computing problems. Computational grid is characterized by system dynamics which handles a variety of processors and jobs on continuous time. To solve problems of system complexity and reliability due to complex system dynamics, computational grid needs scheduling policies that allocate various jobs to proper processors and decide processing orders of allocated jobs. This paper proposes a service prediction-based job scheduling model and present its scheduling algorithm that is applicable for computational grid. The service prediction-based job scheduling model can minimize overall system execution time since the model predicts the next processing time of each processing component and distributes a job to a processing component with minimum processing time. This paper implements the job scheduling model on the DEVS modeling and simulation environment and evaluates its efficiency and reliability. Empirical results, which are compared to conventional scheduling policies, show the usefulness of service prediction-based job scheduling.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.4
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• pp.109-114
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• 2009

Recently, web 2.0 is becoming issue can provide a web based services and the technology is developing rapidly. In addition a variety of platforms on the web and SDK(Software Development Kit) is available from various aspects, web services, a trend that is rapidly growing user. But the development of security systems cannot follow the speed and These weaknesses are provided in the Web service by using illegal methods of information acquisition. Therefore, in this paper, we analyzed information for checking a variety of illegal access on Web services. Also, we designed and implemented Web Service-Hacking Pattern Recognition System for which warns the dangerous fact that as recognized hacking through comparisons the hacking patterns which have classified from the hacking method of existing system.

• Culinary science and hospitality research
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• v.19 no.5
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• pp.146-157
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• 2013

The main purpose of this study was to investigate restaurant servers' perceptions of Asian customers in the U.S. based on physical appearance. Servers' tipping expectation and intention to give quality service were measured by manipulated photographs featuring three aspects of physical appearance (i.e., gender, attire, obesity). Repeated-measures ANOVA was performed to compare eight conditions created by these combinations of three physical appearance factors. The results showed that servers' tipping expectation and intention to give quality service differed according to Asian customers' physical appearance, and the relationship between attire and gender was also found. The research findings are expected to provide managers with guidelines that offer equitable service.

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.2
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• pp.396-408
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• 2017

This study aims to analyze pre-service elementary teachers' oceanographic literacy, understanding of ocean environmental problems and opinions on teaching strategies for ocean topics. As survey participants, this study selected 126 pre-service elementary teachers. Firstly, as a result of testing their oceanographic literacy, this study found out that out of all the basic principles, 'Oceans Largely Unexplored' was highest in the mean score, followed by 'Human Connections', 'Ocean & Its Life Shape Earth', 'Habitability', 'Biodiversity', 'Weather & Climate' and 'Size of Ocean'. Besides, regarding environmental problems affecting all the aspects of ocean, they mentioned oil spills caused by vessel accidents, so called 'Oil Pollution', as the most serious marine environmental problem. Regarding environmental problems affecting coral reefs, they considered over-fishing as the most serious problem. Secondly, as a result of analyzing their opinions on effective teaching strategies for ocean-related topics in elementary science textbooks, this study found out that regarding topics about understanding the undersea topography in the chapter of the earth and moon, they proposed 'Making an Undersea Topographic Model with Sand' most as an effective teaching strategy. As an effective teaching strategy for the chapter of animals' lives, they proposed 'Classifying Animals with Marine Animal Cards' most. As an effective teaching strategy for the chapter of ground surface changes, they proposed 'Making and Simulating Seashore Topography' most.

• Proceedings of the Korea Society for Simulation Conference
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• 2005.05a
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• pp.29-33
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• 2005

Grid computing is widely applicable to various fields of industry including process control and manufacturing, military command and control, transportation management, and so on. In a viewpoint of application area, grid computing can be classified to three aspects that are computational grid, data grid and access grid. This paper focuses on computational grid which handles complex and large-scale computing problems. Computational grid is characterized by system dynamics which handles a variety of processors and jobs on continuous time. To solve problems of system complexity and reliability due to complex system dynamics, computational grid needs scheduling policies that allocate various jobs to proper processors and decide processing orders of allocated jobs. This paper proposes the service prediction-based job scheduling model and present its algorithm that is applicable for computational grid. The service prediction-based job scheduling model can minimize overall system execution time since the model predicts a processing time of each processing component and distributes a job to processing component with minimum processing time. This paper implements the job scheduling model on the DEVSJAVA modeling and simulation environment and simulates with a case study to evaluate its efficiency and reliability Empirical results, which are compared to the conventional scheduling policies such as the random scheduling and the round-robin scheduling, show the usefulness of service prediction-based job scheduling.

• Journal of the Korean Society for Library and Information Science
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• v.42 no.4
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• pp.355-374
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• 2008

This paper reports a case study in which Saracevic and Kantor's derived taxonomy of library services was applied to qualitative data gathered from sixteen university library users. Using face-to-face interview method, we collected user responses related to the reasons of using services, aspects of interaction, and results of using services. Specific codes from the taxonomy were applied to the verbal expressions. The results show that library services are being used for a variety of purposes and that this approach enables us to effectively capture and classify service value expressed in users' own words. The taxonomy is evaluated to be quite comprehensive and scalable.

• Annual Conference of KIPS
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• 2011.04a
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• pp.689-691
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• 2011

Due to the rapid development of Information and communication, the technology of multimedia presentation technology is evolving into the service that user can actively, realistically enjoy and play based on user's preference and taste not only for User's passive service. Especially, the industry related the realistic multimedia service that supports targeting Human emotion with the property of Human hearing is expected to be formed of the high value-added premium market. Audio technology is affected on human's emotion and the viewing environment around than video technology. Also the audio technology compared to video technology is a research part that appeals to human emotion and emphasize on psychological aspects. With this viewpoint, the development of intelligent and realistic audio technology needs highly specialty. In this study, "intelligent real-sound presentation technology" that support high quality and realistic audio and the "core technologies" that are composing of this will be introduced.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.246-259
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• 2023

This study explores the evolving landscape of consumer experiences in the context of pop-up stores, considering the shifts from product economy to service economy and now the experience economy. It investigates the factors influencing consumer word-of-mouth intentions by examining the interplay of pop-up store experiences, brand equity, brand charisma, and verbal intent. Using Schmitt's strategic experience modules and the Aaker brand equity model, the study employs quantitative methods and data analysis to uncover the relationships among these variables. Surprisingly, it finds limited associations between the aspects of the pop-up store experience and brand equity. However, it highlights the direct impact of brand equity on brand charisma, which subsequently influences consumers' intentions to share brand-related information. This research contributes to our understanding of word-of-mouth marketing for pop-up stores, filling a knowledge gap and offering valuable insights for academics and businesses navigating the evolving marketing landscape. It also emphasizes the significance of brand charisma in the context of transient in-store experiences and evolving consumer preferences.

• Journal of Information Technology Applications and Management
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• v.30 no.5
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• pp.83-105
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• 2023

The purpose of this study was to investigate the impact of investment fund attributes such as fund product characteristics, returns on fund investment (ROI), internal controls, and after service on fund investor behavior based on investment information technology. In addition, we also examined how customers reinvest through emotional immersion, company trust and company satisfaction of investment firms in the context of fund investment. First, empirical results show that fund product characteristics, returns on fund investment, and financial firms' internal controls and after service act as signals to fund investors to shape their reinvestment intentions. Second, while investors are generally perceived to be interested only in investment returns, this study also shows that they consider both fund product characteristics and fund investment returns, which are core attributes of funds, as well as financial firms' internal control and after service, which are non-core attributes. Third, we find that company trust is an important factor in investors' reinvestment intentions, showing that investors are more likely to reinvest in a fund if they perceive the financial firm to be trustworthy and reliable. Finally, these findings emphasize that investors consider not only tangible aspects of fund products, such as fund product characteristics and returns on fund investment, but also intangible factors, such as financial firms' internal control and after service, and trustworthiness. Taken together, another implication is that the more advanced the investment information technology of financial firms, the more trust, satisfaction, immersion, and reinvestment intentions of investors will increase.

• Journal of Forest and Environmental Science
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• v.40 no.3
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• pp.188-195
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• 2024

The study examined the perceived benefits and knowledge level of the mushroom farmers on mushroom production in selected local governments area of Oyo State, Nigeria. The data obtained were analyzed with frequency, percentage, mean and standard deviation. Multistage sampling procedure was used to select 143 respondents using questionnaire and interview schedule. From the result it was affirmed that the majority (63.0%) of the respondents were males, also about 81.8% of the farmers were married. Radio (96.5%) was the most common source of information available to farmers, seconded by family and friends 86.0%. Based on the distribution of the knowledge level of farmers in mushroom production (63.6%) of the farmers had highest knowledge in mushroom production with the mean score (9.28). Majority (64.3%) of the mushroom farmers perceived mushroom production to be of benefit to them, with the mean score (10.35). It was concluded that majority of the farmers that had knowledge of mushroom production needs training in some specific aspects of the production process. It is recommended that research institutes, extension agents and Non-governmental organizations needs to organize training to enlightened and provide necessary information needed to the farmers on mushroom production.