• Journal of the Society of Naval Architects of Korea
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• v.40 no.6
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• pp.69-79
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• 2003

Existing large-scale complex programs usually reside In a single computer, and the user has to be physically in contact with the computer. With the wide spread use of the internet, the need to carry out the design and analysis tasks geographically away from the main computer is increasing. In this paper existing Windows-based propeller design and analysis package is separated into the server-client modules and the protocol program is developed to implement the communication between multi-client computers and a single server computer. A new protocol packet is designed to use the Windows socket and the server/client programs control the receive/send operations using the information transmitted in the packet. Test runs show that the remote user, connected to the server computer through the internet only, can perform the required tasks.

• Korean Journal of Computational Design and Engineering
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• v.15 no.6
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• pp.403-410
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• 2010

This paper is aimed at the development of a theoretical framework that addresses practical applications of generative design system that have been observed in architectural practice. Existing theoretical frameworks are not aimed at addressing this specific use of parametric tools but do provide a set of key themes. Based on these themes a generative design system is presented here as a means for tackling architectural design development tasks. This is then used in order to examine a case study; the generative design system tasks involved in the design development and documentation of the Olympic Stadium in Germany. The findings from this examination are used to discuss proposals and implications for a practical framework for generative design in architecture.

• Journal of Sensor Science and Technology
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• v.32 no.6
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• pp.378-385
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• 2023

Human biosignals provide essential information for diagnosing diseases such as dementia and Parkinson's disease. Owing to the shortcomings of current clinical assessments, noninvasive solutions are required. Machine learning (ML) on wearable sensor data is a promising method for the real-time monitoring and early detection of abnormalities. ML facilitates disease identification, severity measurement, and remote rehabilitation by providing continuous feedback. In the context of wearable sensor technology, ML involves training on observed data for tasks such as classification and regression with applications in clinical metrics. Although supervised ML presents challenges in clinical settings, unsupervised learning, which focuses on tasks such as cluster identification and anomaly detection, has emerged as a useful alternative. This review examines and discusses a variety of ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), Neural Networks (NN), and Deep Learning for the analysis of complex clinical data.

• Journal of the Korean Dietetic Association
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• v.19 no.3
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• pp.265-286
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• 2013

The present study was conducted to develop a standardized job description for clinical dietitians working in hospitals. A developing curriculum (DACUM) method was used for the job analysis of clinical dietitians. Based on DACUM analysis with 14 members, including clinical dietitians and professors majoring in clinical nutrition and job analysis, information on the duties, tasks, and task elements of clinical dietitians was determined. To verify the job descriptions derived from DACUM analysis, a total of 46 tertiary and general hospitals with over 500 beds were recruited for the survey. The final developed job description for clinical dietitians included 7 duties, 27 tasks, and 93 task elements. The duties consisted of nutritional assessment, nutrition diagnosis, nutrition intervention, nutrition monitoring evaluation, consultation cooperation, nutrition research, and self-development. The mean scores of perceived importance, performance, and difficulty on the clinical dietitian's task elements (out of a maximum score of 5.0) were 4.5, 3.7, and 3.5, respectively, with significant differences between the items (P<0.001). The perceived importance and performance grid of clinical dietitian's tasks showed that "construction and maintenance of collaboration" (E2) and "activity of quality improvement" (F1) received relatively low scores for performance despite their high importance scores; thus the performance of these tasks requires significant improvement. In conclusion, the job descriptions of clinical dietitians developed from this study are useful for the qualitative improvement of clinical nutrition services in hospitals.

• Information Systems Review
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• v.21 no.1
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• pp.135-152
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• 2019

Recently there are many development and support policies for start-up companies because of successful venture companies related to ICT services. However, as these policies have focused on the support for the initial stage of start-up, many start-up companies have difficulties to continuously grow up. The main reason for these difficulties is that they recognize start-up tasks as independent activities. However, many experts or related articles say that start-up tasks are composed of related processes from the initial stage to the stable stage of start-up firms. In this study, we models the start-up processes based on the survey collected by the start-up companies, and analyze the start-up process of ICT service companies with process mining techniques. Through process mining analysis, we can draw a sequential flow of tasks for start-ups and the characteristics of them. The analysis of start-up businessman, idea derivation, creating business model, business diversification processes are resulted as important processes, but marketing activity and managing investment funds are not. This result means that marketing activity and managing investment funds are activities that need ongoing attention. Moreover, we can find temporal and complementary tasks which could not be captured by independent individual-level activity analysis. Our process analysis results are expected to be used in simulation-based web-intelligent system to support start-up business, and more cumulated start-up business cases will be helpful to give more detailed individual-level personalization service. And our proposed process model and analyzing results can be used to solve many difficulties for start-up companies.

• Culinary science and hospitality research
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• v.15 no.4
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• pp.200-211
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• 2009

The objective of this study is to draw a guideline in developing a training program for sommeliers. To accomplish the objective, an exploratory study was conducted through field professionals and sommeliers between May and July in 2009 adopting the Dacum method. As a result, a sommelier is regarded as a professional who possesses vast knowledge in wine, food & beverage and outlet operation and offers assistance to a guest. Six distinctive areas of duties such as preparation of guest service, guest encounter service, outlet preparation, outlet management, wine purchasing and cellar management, self improvement were drawn in this study comprising 93 following tasks which explained job description of a sommelier. Guest service encompasses 13 tasks such as outlet maintenance and guest encounter service with 40 tasks such as encountering a guest. Outlet preparation contains 6 tasks such as outlet preparation while outlet management contains 13 tasks such as guest management. Wine purchasing and cellar management contains 6 tasks such as wine purchasing while self improvement contains 15 tasks such as understanding world's food and beverages. Outlet management was regarded as the most important and difficult area and wine purchasing and cellar management was regarded as the most frequent task from the study foundings.

• Communications of Mathematical Education
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• v.33 no.4
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• pp.471-488
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• 2019

This paper aims to examine how mathematical history is used in $ textbooks according to the 2015-Revised Curriculum. We analyze the distribution and characteristics of making use of the mathematical history in the nine textbooks, using the framework suggested by Jankvist (2009) on the whys and hows of using historical tasks. First, the tasks related to mathematical history in the textbooks are mostly used as an affective tool, while few tasks are used as a cognitive tool. Second, most of the historical tasks of the type of an affective tool are introducing the anecdotes of mathematicians or in the history of mathematics, and only one case is trying to show human nature of mathematics by illuminating the difficulties mathematicians were faced with. Third, all the mathematical history tasks used as affective tools and goals are illumination materials, while only two out of the ten tasks in the category of a cognitive tool are illumination materials, yet eight others are modular ones. Considering the importance and value of using mathematical history in the math education, this paper recommends that more modular materials on mathematical history tasks in the category of cognitive tools and goals should be developed and their deployment in the textbooks or courses should be promoted. $

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.4
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• pp.55-62
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• 2012

In this study, it was observed through the ability of performing secondary tasks and baseline fetal heart rate how the supply of lavender, peppermint and highly concentrated oxygen (40%) affected distraction due to the performance of secondary tasks in the driving environment. Twelve male university students conducted secondary tasks while driving in the environments (6 in total) mixed and designed with oxygen concentration (21%, 40%) and the condition of odors (Normal, Lavender, Peppermint). The test was proceeded in order of stable state (5mins), driving (5mins), and secondary tasks (1min), and by extracting ECG data from every section by 30secs, the mean value of baseline fetal heart rate was calculated. As a result of analysis, in the ability of performing secondary tasks, a percentage of correct answers showed no difference in oxygen concentration and the condition of odors (p > 0.05). In performance completion time, a percentage of correct answers decreased showing a statistically significant difference in the condition of odors compared with the condition where odors were not provided (p < 0.05). As for baseline fetal heart rate, in the comparison between sections, while performing secondary tasks, it increased showing a significant difference compared with stable state and driving state (p < 0.05). The effect of interaction was observed in oxygen concentration and the condition of odors. When odors were not provided, baseline fetal heart rate decreased in 40% oxygen concentration compared with 21% oxygen concentration (p < 0.05), however, when peppermint was provided, it increased in 40% oxygen concentration compared with 21% oxygen concentration (p < 0.05). In conclusion, the fact that the condition of odors increased the ability of calculation, and when only the highly concentrated oxygen was provided, parasympathetic nerve system was activated, however, when highly concentrated oxygen was provided with peppermint at the same time, sympathetic nervous system (sns) was activated, which had a negative effect on the autonomic nervous system was drawn.

• Proceedings of the Korean Nuclear Society Conference
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• 2005.10a
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• pp.1091-1092
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• 2005

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.737-738
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• 2012