• Journal of Navigation and Port Research
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• v.32 no.4
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• pp.279-285
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• 2008

We have proposed modeling methods of mariners' standard behavior for collision avoidance by analyzing mariners' recognition process in a previous study. As a subsequent study, the aim of this study is to build a model of mariners' execution process which is one of six processes in the condition of collision avoidance. In this study, thus, the structure of mariners' information processing on the process of taking avoiding actions is described and the relation between mariners' behavior and necessary factors in the process is analyzed. And then we have built a model of mariners' standard behavior for execution process based on the characteristics of mariners in ship-handling, which are obtained from the international collaborative research on human factors. It is tried to define the contents of execution process based on the standard behavior of mariners for collision avoidance and to formulate information processing of mariners.

• Journal of Information Processing Systems
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• v.7 no.4
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• pp.707-716
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• 2011

It is important that desktop grids should be able to aggressively deal with the dynamic properties that arise from the volatility and heterogeneity of resources. Therefore, it is required that task scheduling be able to positively consider the execution behavior that is characterized by an individual resource. In this paper, we implement a log analysis system with REST web services, which can analyze the execution behavior by utilizing the actual log data of desktop grid systems. To verify the log analysis system, we conducted simulations and showed that the resource group-based task scheduling, based on the analysis of the execution behavior, offers a faster turnaround time than the existing one even if few resources are used.

• Journal of Agricultural Extension & Community Development
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• v.14 no.2
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• pp.257-278
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• 2007

The purpose of this study is to explore factors influencing them and properties of exercise behaviors among rural elderly in Korea. To implementing it, data were gathered from a total of 356 elderly aged 65 and over living at the Seniors Well-being Villages being developed by the Rural Development Administration in Korea, using the structured questionnaires. also, data were analyzed by the SPSS / windows program. Results show that the exercise behavior of rural elderly was medium level as the average of 3.06 score($1{\sim}5$ score) and 44.2 percent among them didn't exercise regularly and 66.8% didn't participate in sports groups. Second, there were the difference in exercise behavior according to sex and age. Specifically, elderly men exercised more regularly and were aware of proper exercise methods than elderly women. However, there were no difference in exercise behavior according to age. Third, when we analyzed the difference in exercise behavior with the regularity of execution, the elderly who exercise regularly showed higher preference, awareness of necessity, regularity of execution, execution of stretching, participation in sports gatherings and awareness of proper methods than the counterparts. Fourth, we found that unhealthy elderly were more aware of necessity of exercise, exercised regularly, and participated in sports groups frequently than healthy elderly. Also, there was a positive influence of regularity of execution on exercise behavior. These results suggested that regular exercising is very important in health of rural elderly. Therefore, to improve their health, above all, exercise program must be developed

• The Journal of Information Systems
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• v.21 no.4
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• pp.1-29
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• 2012

The purpose of this study was to find about personal information security of internet and social networks by focusing on end users. User competence and subjective criterion, which are the antecedents, are affecting security behaviors For these security behaviors, the study examined the relationship between security behavior intention on internet use and security behavior intention about social network that is actively achieved in many fields. Behaviors of internet and social network were classified into an action of executing security and an action of using a security technology. In addition, this study investigated a theory about motivational factors of personal intention on a certain behavior based on theory of reasoned action in order to achieve the purpose of this study. A survey was conducted on 224 general individual users through online and offline, and the collected data was analyzed with SPSS 12.0 and SmartPLS 2.0 to verify demographic characteristics of respondents, exploratory factor analysis, and suitability of a study model. Interesting results were shown that security behavior intention of social network is not significant in all security behavior execution, which is security performance behavior, and security technology use. Internet security behavior is significant to security technology use but it does not have an effect on behavior execution.

• IEMEK Journal of Embedded Systems and Applications
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• v.14 no.2
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• pp.103-111
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• 2019

The IoT-driven large-scaled systems consist of connected things with on-chip executable embedded software. These light-weighted embedded things have limited hardware space, especially small size of on-chip flash memory. In addition, on-chip embedded software in flash memory is not easy to update in runtime to equip with latest services in IoT-driven applications. It is becoming important to develop light-weighted IoT devices with various software in the limited on-chip flash memory. The remote instruction execution in cloud via IoT connectivity enables to provide high performance software execution with unlimited software instruction in cloud and low-power streaming of instruction execution in IoT edge devices. In this paper, we propose a Cloud-IoT asymmetric structure for providing high performance instruction execution in cloud, still low power code executable thing in light-weighted IoT edge environment using remote instruction execution. We propose a simulated approach to determine efficient partitioning of software runtime in cloud and IoT edge. We evaluated the instruction cloudification using remote instruction by determining the execution time by the proposed structure. The cloud-connected instruction set simulator is newly introduced to emulate the behavior of the processor. Experimental results of the cloud-IoT connected software execution using remote instruction showed the feasibility of cloudification of on-chip code flash memory. The simulation environment for cloud-connected code execution successfully emulates architectural operations of on-chip flash memory in cloud so that the various software services in IoT can be accelerated and performed in low-power by cloudification of remote instruction execution. The execution time of the program is reduced by 50% and the memory space is reduced by 24% when the cloud-connected code execution is used.

• Journal of Information Processing Systems
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• v.17 no.1
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• pp.191-202
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• 2021

In an Internet of Things (IoT)-configured system, each device executes on-chip software. Recent IoT devices require fast execution time of complex services, such as analyzing a large amount of data, while maintaining low-power computation. As service complexity increases, the service requires high-performance computing and more space for embedded space. However, the low performance of IoT edge devices and their small memory size can hinder the complex and diverse operations of IoT services. In this paper, we propose a remote on-demand software code execution unit using the cloudification of on-chip code memory to accelerate the program execution of an IoT edge device with a low-performance processor. We propose a simulation approach to distribute remote code executed on the server side and on the edge side according to the program's computational and communicational needs. Our on-demand remote code execution unit simulation platform, which includes an instruction set simulator based on 16-bit ARM Thumb instruction set architecture, successfully emulates the architectural behavior of on-chip flash memory, enabling embedded devices to accelerate and execute software using remote execution code in the IoT environment.

• Korean Journal of Human Ecology
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• v.6 no.2
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• pp.83-93
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• 1997

In order to adapt to the economic change with the rapid world change, the wise consumers should have positive cognizance of their roles and are requested to fulfil their duties as a consummer. Such capability of the consumer could be acquired from home, mass media and school, and specially the role of mother at home would have a great influence on their early children's consummer activities. The purpose of this study was to investigate the interrelationship of the consumer behavior between mother and their children. As a result of this study, the mother with higher educational background could manage effectively the allowance of the children. The mother with older age had a great influence on the consumer's role of the children and high record of the execution. Employed mother had higher level of execution for the consumer's rights than their count part. Accordingly, the consumer behavior of the mother will have an influence on the children's consumer behavior. Such a result showed the meaningful statistic relations(r=3.6, p<.001) for the economy activity of the children the home management and economy life of the mother, and the purchasing activity of the children including the execution of the consumer's right. In their regard, there was the significant statistic relations(r=19, p<.05) between the children's pocket money and the housekeeping management of the mother. In the meantime, it showed that another changing factor concerned with the consumer behavior of the mother have little influence the children's allowance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.5
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• pp.1963-1978
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• 2015

With the advancement of mobile web environments, identification and analysis of the user behavior play a significant role and remains a challenging task to implement with variations observed in the model. This paper presents an efficient method for mining optimized user behavior prediction model using genetic algorithm on mobile web structure. The framework of optimized user behavior prediction model integrates the temporary and permanent register information and is stored immediately in the form of integrated logs which have higher precision and minimize the time for determining user behavior. Then by applying the temporal characteristics, suitable time interval table is obtained by segmenting the logs. The suitable time interval table that split the huge data logs is obtained using genetic algorithm. Existing cluster based temporal mobile sequential arrangement provide efficiency without bringing down the accuracy but compromise precision during the prediction of user behavior. To efficiently discover the mobile users' behavior, prediction model is associated with region and requested services, a method called optimized user behavior Prediction Model using Genetic Algorithm (PM-GA) on mobile web structure is introduced. This paper also provides a technique called MAA during the increase in the number of models related to the region and requested services are observed. Based on our analysis, we content that PM-GA provides improved performance in terms of precision, number of mobile models generated, execution time and increasing the prediction accuracy. Experiments are conducted with different parameter on real dataset in mobile web environment. Analytical and empirical result offers an efficient and effective mining and prediction of user behavior prediction model on mobile web structure.

• The Transactions of the Korea Information Processing Society
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• v.4 no.6
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• pp.1557-1564
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• 1997

We propose an extension to Prolog called the count term for controlling Prolog execution. The purpose is to allow the programmers as well as the users to have greater flexibility in controlling the execution behavior of Prolog programs and for limiting the number of answers or proofs retrieved when Prolog is used as a database query language. Both syntax and operational semantics of the count term are defined. An implementation strategy based on WAM (Warren Abstract Machine) by modifying instructions related to backtracking behavior has been suggested.

• Korean Journal of Childcare and Education
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• v.16 no.5
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• pp.47-67
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• 2020

Objective: The main purpose of this study was to investigate the direct effect of maternal parenting behavior and indirect effects through preschoolers'executive function on three types of social behavior, prosocial, aggressive and withdrawn behavior. Methods: A total of 299 mothers and their preschool-aged children were the subjects of this study. Mothers completed the questionnaire that included measures of their parenting behavior, preschoolers' executive function, and social behavior. Results: First, mothers' positive parenting behavior had a direct effect on preschoolers' prosocial behavior, and mothers' negative parenting behavior had direct effects on preschoolers' aggressive and withdrawn behavior. Second, mothers' positive parenting behavior had indirect effects on preschoolers' prosocial, aggressive and withdrawn behavior through preschoolers' executive function. In contrast, indirect paths from maternal negative parenting behavior to social behavior through preschoolers' execution function were not significant. Conclusion/Implications: These findings underscore the importance of executive function during early childhood and suggest the need for effective parenting programs to promote executive function.