• Proceedings of the Korean Society for the Gifted Conference
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• 2003.05a
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• pp.137-138
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• 2003

Understanding how and why people differ is a fundamental, if distant, goal of research efforts to bridge psychological and biological levels of analysis. General fluid intelligence (gF) is a major dimension of individual differences and refers to reasoning and novel problemsolving ability. A conceptual integration of evidence from cognitive (behavioral) and anatomical studies suggeststhat gF should covary with both task performance and neural activity in specific brain systems when specific cognitive demands are present, with the neural activity mediating the relation between gF and performance. Direct investigation of this possibility will be a critical step toward a mechanistic model of human intelligence. In turn, a mechanistic model might suggest ways to enhance gF through targeted behavioral or neurobiological intervent ions, We formed two different groups as subjects based on their scholarly attainments. Each group consists of 20 volunteers(aged 16-17 years, right-handed males) from the National Gifted School and a local high school respectively. To test whether individual differences in general intelligence are mediated at a neural level, we first assessed intellectual characteristics in 40 subjects using standard intelligence tests (Raven's Advanced Progressive Matrices, Wechsler Adult Intelligence Scale, Torrance Tests of Creative Thinking) administered outside of the MR scanner. We then used functional magnetic resonance imaging (fMRl) to measure task-related brain activity as participants performed three different kinds of computerized reasoning tasks that were intended to activate the relevant neural systems. To examine the difference of neural activity according to discrepancy in general intelligence, we compared the brain activity of both extreme groups (each, n=10) of the participants based on the standard intelligence test scores. In contrast to the common expectation, there was no significant difference of brain region involved in high-g tasks between both groups. Random effect analysis exhibited that lateral prefrontal, anterior cingulate and parietal cortex are associated with gF. Despite very different task contents in the three high-g-low-g contrasts, recruitment of multiple regions is markedly similar in each case, However, on the task with high 9F correlations, the Prodigy group, (intelligence rank: >99%) showed higher task-related neural activity in several brain regions. These results suggest that the relationship between gF and brain activity should be stronger under high-g conditions than low-g conditions.

• Journal of Korean Society of Archives and Records Management
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• v.18 no.1
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• pp.155-175
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• 2018

The purpose of this study is to establish a classification system for the records of the Association for the Bereaved Families of the Hampyeong Massacre Victims. The content of the records is accordingly implemented through a functional source principle, and a classification table is presented in such a way that it reflects the characteristics by type and by production period so that the records can be used effectively. DIRKS, a methodology for the development of the functional classification system, is used to conduct a functional analysis of Hampyeong massacre victims' families to derive a task classification table that leads to task function-work activity-handling actions. The category is determined by taking into consideration the type and nature of the time of the production of the records of the Hampyeong massacre victims' families. The records are mapped according to the function classification system, which corresponds to the task classification table, and the multicategory system that drafts the type and period, which is used to classify the functions. The medical institution introduces a system for classifying records into task subjects, task activities, handling actions, types, and period.

• Journal of KIISE
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• v.42 no.1
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• pp.15-22
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• 2015

In this paper, we present a case study for a drug repositioning simulation based on distributed supercomputing technology that requires highly efficient processing of large-scale computations. Drug repositioning is the application of known drugs and compounds to new indications (i.e., new diseases), and this process requires efficient processing of a large number of docking tasks with relatively short per-task execution times. This mechanism shows the main characteristics of a Many-Task Computing (MTC) application, and as a representative case of MTC applications, we have applied a drug repositioning simulation in our HTCaaS system which can leverage distributed supercomputing infrastructure, and show that efficient task dispatching, dynamic resource allocation and load balancing, reliability, and seamless integration of multiple computing resources are crucial to support these challenging scientific applications.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.128-137
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• 2019

This study typified and analyzed local governments' innovation policy through brand task and provided policy implications. A total of 844 local governments' brand task were used to classify the policy fields of the brand task by eight types of local governments. The main analysis results are summarized as follows. First, the ratio of social economy/local economy was the highest in all local government. Second, there is a difference in the policy fields that are focused by local governments. Third, the selection of innovation policy reflects the specificity of the region. Fourth, local government focusing on the type of brand task were differentiated. Therefore, these results confirm the theoretical relevance of the typology of local government suggested in the theoretical background. Policy implications are as follows: the necessity of innovation policy for revitalization of local economy, establishment of innovation policy in accordance with local characteristics, and propagation of excellent innovation policy.

• Journal of Creative Information Culture
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• v.6 no.3
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• pp.169-177
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• 2020

In this study, the satisfaction level of the class between 'Content utilization and task performance class' and 'real-time interactive class' was compared and analyzed among the types of online classes conducted in elementary schools. The researchers conducted a study to compare and analyze the satisfaction level of classes in 'Content utilization and task performance class' and 'Real-time interactive class', and the research group selected 98 elementary school students in Hwaseong. As a result of the analysis, the satisfaction level of classes for "real-time interactive classes" was high. The satisfaction level of students' characteristics was analyzed, students who were not good at performing their task and those who were not good at concentrating on their classes were more satisfied with 'content utilization and task performance classes.'

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.27-38
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• 2023

In this paper, we propose a conversational AI agent based on continual learning that can continuously learn and grow with new data over time. A continual learning-based conversational AI agent consists of three main components: Task manager, User attribute extraction, and Auto-growing knowledge graph. When a task manager finds new data during a conversation with a user, it creates a new task with previously learned knowledge. The user attribute extraction model extracts the user's characteristics from the new task, and the auto-growing knowledge graph continuously learns the new external knowledge. Unlike the existing conversational AI agents that learned based on a limited dataset, our proposed method enables conversations based on continuous user attribute learning and knowledge learning. A conversational AI agent with continual learning technology can respond personally as conversations with users accumulate. And it can respond to new knowledge continuously. This paper validate the possibility of our proposed method through experiments on performance changes in dialogue generation models over time.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.599-604
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• 2019

This study examined how the characteristics of smartphone affect the functional performance of smartphones. In particular, this study focused on an understanding of the correlation between smartphone functional factors and usage habits. Functionality is defined as 11 kinds of functional elements. The characteristics of the smartphones were defined as the hardware characteristics and the user habits characteristics. Eighty subjects were organized to collect actual data by the smartphone function. The actual time required to perform each function was measured and observed five times for each functional element. Regression analysis was performed using Minitab ver.14 by classifying the measured values of the functional elements as dependent variables, the hardware characteristics collected through the questionnaire, and the user's usage habits as 12 independent variables. Overall, it is difficult to conclude that demographic and hardware characteristics of smartphone users have a significant effect on the performance. On the other hand, the variables related to smartphone usage habits have had a great impact on the performance of smartphone tasks, and as a result, the task execution time has increased. In simple input variables or viewing variables, the effects on usability was relatively small, but in all active variables, the execution time increased 10% - 30% in all tasks except for phone calls, seeking phone numbers, and dictionary search. Thus far, if the smartphone user interface has been provided uniformly in a large and simple manner, users with various usage habits can be utilized even if the input method and task processing method are more complicated and various interface types are provided.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.47-52
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• 2021

This research emphasized that the importance of key elements of job characteristics such as technical diversity, task identity, task importance, autonomy, and feedback. Moreover, it focused on verifying the effects of these five elements on turnover intention through Self-Efficacy. To verify this, an empirical analysis was conducted on employees of the service industry in China. Through empirical analysis, it was found that all five elements of job characteristics improve Self-Efficacy. Furthermore, Self-Efficacy was found to degrade the level of turnover intention. Furthermore, it has been verified that self-efficacy has a fully mediated effect in the relationship between the two elements(technical diversity, autonomy) of job characteristics and turnover intention. Through this research, it was revealed which elements of job characteristics had the greatest influence on self-efficacy. Finally, based on this research, we presented useful implications in human resource management to practitioners of Chinese service companies and Korean service companies seeking to enter China and future research directions were discussed.

• Journal of Korean Academy of Nursing
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• v.29 no.6
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• pp.1434-1444
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• 1999

The purpose of this study was to investigate the influence of job characteristics on the nurses' the moderating effect of locus of control on the job satisfaction and organizational commitment and relationship between job characteristics and attitude. The sample for this study consisted of 594 nurses from 8 university hospitals. Factor analysis, Cronbach's alpha analysis, multiple regression analysis and hierarchical multiple regression analysis were used for the statistical methods. The results of this study were found that (1) autonomy among 5 core job characteristics showed positive influence on job satisfaction, (2) task significance and autonomy among 5 core job characteristics had positive influence on organizational commitment, (3) the internals of locus of control moderated the effect of job characteristics on nurses' job satisfaction, and (4) internals and externals of locus of control moderated the effect of job characteristics on nurses' organizational commitment.

• Korean Journal of Social Welfare
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• v.58 no.1
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• pp.31-58
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• 2006

The purpose of this article is to analyze the structure and characteristics of the care manager systems of the long term care insurance in Japan's social welfare institution. In order to realize such purposes, this paper develops the discussion process as follows. Firstly, this paper examines the developmental processes and contents of the long term care insurance system and the care plan services which are the services to aid the utilization of long term care services. Secondly, this paper describes the care manager which conducts the role of care plan services intentively. Thirdly, this paper makes the research framework which is formulated as the legislative views about the care manager on the long term care insurance act, task systems, recruitment and retraining systems, and research data of care manager. Summarizing the contents of care manager's circumstances and characteristics about the long term care insurance, the results are explained as follows. that is to define care manager's status as the components of care plan center, to control indirectly the activities of care manager's care plan by operating care service center and care plan center in equal corporate, to set role and task ambiguously, to recognize care manager's role as the attributed role of care service center, to give licence and qualification in local government. Therefore, it's difficult to realize care plan depending on speciality and neutrality for the service user. The essential parts for the reform of care manager systems may be to separate care service center and care plan center and to redefine the task and role of care manager, the role and task of which should be put on care plan services.