• Journal of Institute of Control, Robotics and Systems
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• v.18 no.4
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• pp.302-307
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• 2012

Real-time systems perform periodic tasks and real-time aperiodic tasks such as alarm processing. Especially the periodic tasks included in control systems such as robots have precedence relationships among them. This paper proposes a new scheduling algorithm based on topological sort and residual time. The precedence relationships among periodic tasks are translated to the priorities of the tasks using topological sort algorithm. During the execution of the system the proposed scheduling algorithm decides on whether or not a newly arrived real-time aperiodic task is accepted based on residual time whenever the aperiodic task such as alarm is arrived. The proposed algorithm is validated using examples.

• Journal of Korean Academy of Nursing
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• v.51 no.1
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• pp.27-39
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• 2021

Purpose: This study aimed to identify the degree of non-nursing tasks and nursing care left undone in integrated nursing care wards, and examine their relationships with nurses' burnout, job satisfaction, turnover intentions, and medical errors. Methods: A cross-sectional questionnaire survey was conducted. Data were collected using self-report questionnaires from 346 nurses working in 20 wards of seven small and medium-sized general hospitals, and analyzed using multiple regression and multiple logistic regression analysis with the SPSS WIN 25.0 program. Results: The mean score for non-nursing tasks was 7.32±1.71, and that for nursing care left undone was 4.42 ± 3.67. An increase in non-nursing tasks (β = .12, p = .021) and nursing care left undone (β = .18, p < .001) led to an increase in nurses' burnout (F = 6.26, p < .001). As nursing care left undone (β = .13, p = .018) increased, their turnover intentions also (F = 3.96, p < .001) increased, and more medical errors occurred (odds ratio 1.08, 95% confidence interval 1.02~1.15). Conclusion: Non-nursing tasks and nursing care left undone are positively associated with nurses' burnout, turnover intentions, and the occurrence of medical errors. Therefore, it is important to reduce non-nursing tasks and nursing care left undone in order to deliver high quality nursing care and in turn increase patient safety.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.1
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• pp.13-24
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• 2015

The purpose of this study is to examine the influences of learners' self-efficacy on class satisfaction in learning practical basic sewing. Questionnaires were distributed to 181 college women students living in the areas of Deagu Metropolitan City and Gyeongbuk Province. The data obtained were analyzed by using various statistical tools: frequency, factor analysis, reliability analysis, correlation analysis, and multiple regression. The self efficacy of learners of practical basic sewing were made up of five factors: ability to manage interpersonal relationships, ability to deal with assigned tasks, anxiety, challenging spirit, and fear. Class satisfaction was composed of the following factors such as interest in class, professors' ability, achievement of class objectives, connectivity, preparation for class, preference for practices, and perfectibility. This study indicated the correlations between sub-variables of learners' self efficacy and class satisfaction. In other words, the higher were the levels of ability to manage interpersonal relationships, and ability to deal with assigned tasks in self efficacy, the higher were the levels of interest in class, professors' ability, achievement of class objectives, preference for practices, and perfectibility in class satisfaction. The factors of ability to deal with assigned tasks, anxiety, and challenging spirit, in learners' self efficacy were found to have statistically significant effects on the achievement of class objectives. The factor of ability to deal with assigned tasks in self efficacy had a statistically significant influence on professors' ability. The factors of ability to deal with assigned tasks, anxiety, challenging spirit and fear were found to have statistically significant effects on all the factors of class satisfaction.

• Proceedings of the ESK Conference
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• 1998.04a
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• pp.36-39
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• 1998

In this study, the postural stresses in automobile assembly tasks were evaluated through an experiment. We had 19 subjects who simulated 42 different working postures occuring in the automobile assembly tasks for1 min and rated their whole body discomforts subjectively. We sued a free modulus magnitude estimation technique, commonly used as a psycophysical rating technique, and fully trained the subjects for the technique. The postures were selected through the analysis of the characteristics of te automobile assembly tasks and the expected difficulties. The subjective discomfort rating data were normalized by min-max standardization method. The consistency of the rating data was guaranteed by the analysis of spear man rank-order. The postures were ranked on their ratings and the relationships between the whole body discomfort ratings, and joint discomfort ratings were analysed. It is expected taht a system for evaluating postural stresses, which was specific to automobile assembly tasks, can be developed based on the relationship and can also be expended to a general purpose system with a minor modification.

• Journal of Elementary Mathematics Education in Korea
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• v.21 no.1
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• pp.49-72
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• 2017

Despite the importance and necessity of functional thinking in a primary school there has been lack of research in this area, specifically regarding young children. Given this, this study analyzed how students aged from 7 to 9 would figure out and represent the co-variational relationships in context-driven tasks. Semi-clinical interviews were conducted with a total of 12 students. Interview tasks included three types of functions: (a) y=x, (b) y=x+1, and (c) y=x+x. The results of this study showed that most students were able to figure out co-variational relationships in diverse ways. Some factors such as types of function or characteristics of tasks had an impact on how students recognized the relationships. The students also could represent the relationship in diverse ways such as gesture, picture, natural language, and variables. They usually used natural language, but had a trouble using variables when representing the relation between co-varying quantities. Based on these results, this study provides implications on how to foster functional thinking ability at the elementary school.

• Journal of Intelligence and Information Systems
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• v.27 no.4
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• pp.49-71
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• 2021

Users who intend to utilize knowledge to actively solve given problems proceed their jobs with cross- and sequential exploration of associated knowledge related each other in terms of certain criteria, such as content relevance. A knowledge map is the diagram or taxonomy overviewing status of currently managed knowledge in a knowledge-base, and supports users' knowledge exploration based on certain relationships between knowledge. A knowledge map, therefore, must be expressed in a networked form by linking related knowledge based on certain types of relationships, and should be implemented by deploying proper technologies or tools specialized in defining and inferring them. To meet this end, this study suggests a methodology for developing the knowledge graph-based knowledge map using the Graph DB known to exhibit proper functionality in expressing and inferring relationships between entities and their relationships stored in a knowledge-base. Procedures of the proposed methodology are modeling graph data, creating nodes, properties, relationships, and composing knowledge networks by combining identified links between knowledge. Among various Graph DBs, the Neo4j is used in this study for its high credibility and applicability through wide and various application cases. To examine the validity of the proposed methodology, a knowledge graph-based knowledge map is implemented deploying the Graph DB, and a performance comparison test is performed, by applying previous research's data to check whether this study's knowledge map can yield the same level of performance as the previous one did. Previous research's case is concerned with building a process-based knowledge map using the ontology technology, which identifies links between related knowledge based on the sequences of tasks producing or being activated by knowledge. In other words, since a task not only is activated by knowledge as an input but also produces knowledge as an output, input and output knowledge are linked as a flow by the task. Also since a business process is composed of affiliated tasks to fulfill the purpose of the process, the knowledge networks within a business process can be concluded by the sequences of the tasks composing the process. Therefore, using the Neo4j, considered process, task, and knowledge as well as the relationships among them are defined as nodes and relationships so that knowledge links can be identified based on the sequences of tasks. The resultant knowledge network by aggregating identified knowledge links is the knowledge map equipping functionality as a knowledge graph, and therefore its performance needs to be tested whether it meets the level of previous research's validation results. The performance test examines two aspects, the correctness of knowledge links and the possibility of inferring new types of knowledge: the former is examined using 7 questions, and the latter is checked by extracting two new-typed knowledge. As a result, the knowledge map constructed through the proposed methodology has showed the same level of performance as the previous one, and processed knowledge definition as well as knowledge relationship inference in a more efficient manner. Furthermore, comparing to the previous research's ontology-based approach, this study's Graph DB-based approach has also showed more beneficial functionality in intensively managing only the knowledge of interest, dynamically defining knowledge and relationships by reflecting various meanings from situations to purposes, agilely inferring knowledge and relationships through Cypher-based query, and easily creating a new relationship by aggregating existing ones, etc. This study's artifacts can be applied to implement the user-friendly function of knowledge exploration reflecting user's cognitive process toward associated knowledge, and can further underpin the development of an intelligent knowledge-base expanding autonomously through the discovery of new knowledge and their relationships by inference. This study, moreover than these, has an instant effect on implementing the networked knowledge map essential to satisfying contemporary users eagerly excavating the way to find proper knowledge to use.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.61-68
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• 2000

Now that the complete genomes of numerous organisms have been ascertained, key problems in molecular biology include determining the functions of the genes in each organism, the relationships that exist among these genes, and the regulatory mechanisms that control their operation. These problems can be partially addressed by using machine learning methods to induce predictive models from available data. My group is applying and developing machine learning methods for several tasks that involve characterizing gene regulation. In one project, for example, we are using machine learning methods to identify transcriptional control elements such as promoters, terminators and operons. In another project, we are using learning methods to identify and characterize sets of genes that are affected by tumor promoters in mammals. Our approach to these tasks involves learning multiple models for inter-related tasks, and applying learning algorithms to rich and diverse data sources including sequence data, microarray data, and text from the scientific literature.

• Korean Journal of Child Studies
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• v.24 no.2
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• pp.15-33
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• 2003

The 120 participants of this study were 5- and 9-year-old children and their mothers. Children responded to 24 prosocial moral reasoning dilemmas and 8 prosocial decision-making tasks. Mothers' prosocial moral reasoning was assessed with questionnaires. Level of moral reasoning was higher in distant than in close relationships. 5-year-olds in preoperational stage used the complex situational cues in their reasoning, and prosocial moral reasoning of 9-year-olds was positively related to mothers' prosocial moral reasoning in the situation with conditions of distant relationship, low costs, and internal responsibility. Children made more helping decisions in close than in distant relationship situations, low rather than high cost situations, and external rather than internal responsibility situations. 5-year-olds whose mothers were high in level of prosocial moral reasoning were more helpful.

• Korean Journal of Child Studies
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• v.10 no.1
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• pp.11-25
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• 1989

The purpose of the present research was to study developmental trends in and relationships between recall, organizational strategy, and metamemory in young children. The subjects were 84 children, 14 boys and 14 girls at each age level, 4, 6, and 8. Two tasks (memory task & metamemory task) were used to assess children's recall, organizational strategy, and metamemory based on Sodian et al.(1986). All subjects were randomly assigned either to the play-and-remember condition or to the sort-and-remember condition. The two tasks were administered to children individually with the memory task followed by the metamemory task. The data were analysed by the statistical methods of two-way ANOVA, Student-Newman-Keuls post hoc test, Mann-Whitney U test, Kruskal-Wallis test, Pearson's correlation coefficient and Kendall's Tau. Children's recall (free, conceptually-cued, and perceptually-cued) level increased with age. There were significant experimental condition differences in free recall and conceptually-cued recall, but not in perceptually-cued recall. Children's organizational strategy showed differential developmental trends by experimental condition. Use of conceptual strategy at both encoding and retrieval increased with age in both experimental conditions. Use of perceptual strategy (PS) at encoding showed an inverted-U age effect in the play-and-remember condition, but PS decreased linearly with age in the sort-and-remember condition. There were significant age differences in metamemory, and there were significant correlations between recall and organizational strategy.

• Journal of Family Resource Management and Policy Review
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• v.15 no.1
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• pp.137-155
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• 2011

Rethinking the Value of Family. This study compares and contrasts positive and negative viewpoints concerning the family. Currently, a resurgence in positive viewpoints has exposed the untruths and myths put forth concerning the family on the part of those with a more pessimistic viewpoint. However, those with negative viewpoints still have not acknowledged that the family is an important part of human lives. In this study, the "equal family" (a family where tasks are split evenly among, say, the mother and father with regard to both vocation and household tasks) is criticized as an alternative to the "unfair family", as the "equal family" structure fails to go beyond the liberalization of family relationships to create a virtuous structure worthy of emulation by the children in the family. This is true in spite of the fact that the "equal family" structure has done much to improve individual freedom in the lives of its members. In conclusion, this study posits a third family structure, the "life family," as a new alternative to the other two models. The "life family" recognizes the family's central role: as a safe haven for raising children and building human esteem through close long-term relationships.