• Korean Management Science Review
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• v.32 no.2
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• pp.111-124
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• 2015

In the management literature, it has been widely accepted among both researchers and practitioners that the level of team creativity is significantly related to the organizational performance. Besides, researchers posited with confidence that team diversity and task difficulty would affect team creativity through team members' activities of exploration and exploitation. However, empirical approaches to proving this belief suffered from lack of real data and proper methods as well. To tackle the research void like this, we propose a multi-agent simulation (MAS) mechanism. By adopting a set of parameters which validity were proven in the related literature, we conducted a series of experiments in the environment of the MAS platform named NetLogo. There sults suggest that managers can differentiate team diversity strategies according to task difficulty. In the case of a difficult task, managers need to increase team diversity so that their teams can maximize team creativity through rigorous exploration and exploitation. It is desirable to maintain an average level of team diversity when performing an easy task.

• Korean Journal of Child Studies
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• v.36 no.4
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• pp.229-242
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• 2015

The purpose of this study was to investigate young children's nonsymbolic arithmetic ability according to task difficulty. The participants in this study comprised 43 2-year-old children and 48 4-year-old children recruited from 5 childcare centers located in Seoul, Korea. All tasks were composed of comparison, addition, subtraction, multiplication and division tasks. In addition, each arithmetic task varied with the ratio of the two quantities; low level(1:2), middle level(2:3), high level(4:5). The results revealed that 2 & 4-year-old children could perform a large numerical range of nonsymbolic arithmetic tasks without influences from previously learned mathematics. This finding suggests that children have a degree of numerical capacity prior to symbolic mathematics instruction. Furthermore, children's performance on nonsymbolic arithmetic tasks indicated the ratio signature of large approximate numerical representation. This result implies that large approximate numerical representation can be used in arithmetical manipulations.

• Journal of East-West Nursing Research
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• v.12 no.1
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• pp.56-61
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• 2006

Purpose: The purpose of this study was to identify the ADL and IADL of elderly in home. Method: This was a descriptive study. Data were collected from convenient samples of 76 elderly in home using ADL and IADL scales among MDS-HC V2.0 instrument from October to November. The data were analyzed using SPSS/Win 12.0 with frequency, t-test, and ANOVA at a significant level of=.05. Result: The elderly in home had performance with difficulty at bathing, locomotion outside of home, and transfer. On the other hand, the elderly in home had performance with easy at mobility in bed, dressing lower body and eating. Relation to the IADL the elderly in home had performance with difficulty at transportation, shopping, and managing finance. Conclusion; Based on the results, it is necessary to develop of a nursing intervention program and rehabilitation plan for the bathing and locomotion of the elderly in home.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.298-309
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• 2023

The mouse as an input device has undoubtedly brought convenience to users due to its intuitiveness and simplicity, but it also brought unprecedented issues such as carpal tunnel syndrome (CTS). As a result, the necessity of alternative input devices that put less strain on the wrist, while still providing the convenience of a conventional mouse, has emerged. Unfortunately, there have been several research about alternative devices to replace a mouse, however, they showed inconsistent results. This study suggests that those inconsistent results may stem from the type and the difficulty of tasks used in previous studies. Therefore, we designed this study to compare the performance and perceived workload of three input devices (Mouse/Trackball/Touchpad) in each condition in terms of task type (Targeting/Tracking) and difficulty level (Easy/Hard). The results indicated that there were significant performance differences and no significant workload differences among the three devices, and the interactions were observed in some conditions. These results can provide users with practical guidelines to choose the optimal input device according to their needs or purpose.

• Journal of Korean Society of Archives and Records Management
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• v.16 no.3
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• pp.131-156
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• 2016

The purpose of this study is to prepare a plan for the improvement of the tasks of record managers in offices of education by understanding the details of their work; analyzing the importance, difficulty, and performance frequency of their tasks; and investigating their working environment and the problems of record management in offices of education. For this purpose, through a literature review and an analysis of related conditions, this study drew out 5 task domains and 24 detailed record management tasks in offices of education. To investigate the level of importance, difficulty, and performance frequency of the drawn-out task domains and task factors, this study conducted a questionnaire survey on record managers working in offices of education and analyzed the survey results using the IPA technique by crossing the level of importance, difficulty, and performance frequency. Based on the survey results, to improve the tasks of record managers in offices of education, and strengthen their task competency, a plan for improvement was suggested.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.8
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• pp.315-324
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• 2022

In this paper, we propose KoEPT, a Transformer-based generative model for automatic math word problems solving. A math word problem written in human language which describes everyday situations in a mathematical form. Math word problem solving requires an artificial intelligence model to understand the implied logic within the problem. Therefore, it is being studied variously across the world to improve the language understanding ability of artificial intelligence. In the case of the Korean language, studies so far have mainly attempted to solve problems by classifying them into templates, but there is a limitation in that these techniques are difficult to apply to datasets with high classification difficulty. To solve this problem, this paper used the KoEPT model which uses 'expression' tokens and pointer networks. To measure the performance of this model, the classification difficulty scores of IL, CC, and ALG514, which are existing Korean mathematical sentence problem datasets, were measured, and then the performance of KoEPT was evaluated using 5-fold cross-validation. For the Korean datasets used for evaluation, KoEPT obtained the state-of-the-art(SOTA) performance with 99.1% in CC, which is comparable to the existing SOTA performance, and 89.3% and 80.5% in IL and ALG514, respectively. In addition, as a result of evaluation, KoEPT showed a relatively improved performance for datasets with high classification difficulty. Through an ablation study, we uncovered that the use of the 'expression' tokens and pointer networks contributed to KoEPT's state of being less affected by classification difficulty while obtaining good performance.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.05a
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• pp.194-196
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• 2013

Recently, It is a fact that the percentage of female field managers has increased in the construction industry. Therefore, this study investigated the percentage of female construction site managers by conducting a survey of current male and female construction site managers and then analyzed the workload, work difficulty, work importance and performance level of female employees in charge of public affairs, which is the most common tasks.

• Korean Journal of Construction Engineering and Management
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• v.12 no.1
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• pp.62-72
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• 2011

Currently, The failure of construction project is increasing to be caused by a changing construction environment. According to this circumstances, Researches of project success factors affecting performance have been presented to develop strategies for efficient construction project management in the construction industry. However, Conducting efficient construction project management is difficult because project manager could not know which project success factors can be improved or not. Especially, although the project characteristics were derived the level of difficulty for performance, research of the project characteristics which could not be improved as influence factor to performance is lacking. Therefore, This paper has developed the Performance Predicting System(PPS) with Fuzzy set theory to establish. PPS has been developed to establish efficient project management strategies and to save time and effort. As Contractor inputs the project characteristics, PPS can predict the level of difficulty of performance.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.10a
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• pp.135-138
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• 1997

In this paper, we proposed effective modeling method to nonlinear complex system. Fuzzy Neural Network(FNN) was used as basic model. FNN was fused of Fuzzy Inference which has linguistic property and Neural Network which has learning ability and high tolerence level. This paper, we used FNN which was proposed by Yamakawa. The FNN used Simple Inference as fuzzy inference method and Error Back Propagation Algorithm as learning rule. This structure has better property than other structure at learning speed and convergence ability. But it has difficulty at definition of membership function. We used Hard c-Mean method to overcome this difficulty. To evaluate proposed method. We applied the proposed method to waste water treatment process. We obtained better performance than conventional model.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.159-166
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• 2023

Due to the aging workforce in the construction industry in South Korea, the accident rate has been increasing. The cognitive abilities of older workers are closely related to both safety incidents and labor productivity. Therefore, there is a need to improve cognitive abilities through personalized training based on cognitive assessment results, using cognitive training content, in order to enable safe performance in labor-intensive environments. The provided cognitive training content includes concentration, memory, oreintation, attention, and executive functions. Difficulty levels were applied to each content to enhance user engagement and interest. To stimulate interest and encourage active participation of the participants, the difficulty level was automatically adjusted based on feedback from the MMSE-DS results and content measurement data. Based on the accumulated data, individual training scenarios have been set differently to intensively improve insufficient cognitive skills, and cognitive training programs will be developed to reduce safety accidents at construction sites through measured data and research. Through such simple cognitive training, it is expected that the reduction of accidents in the aging construction workforce can lead to a decrease in the social costs associated with prolonged construction periods caused by accidents.