• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.06a
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• pp.155-156
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• 2020

Unlike new construction projects, road paving maintenance work shows large productivity discrepancies depending on the conditions of the worksite. The current construction cost calculation scheme, however, only provides daily construction volume categorized by work scope and scale: There are no detailed standards that can be implemented on various types of worksites. To develop standards that enable the calculation of appropriate construction costs by taking into account worksite conditions, the current study conducted on-site surveys and interviews. The on-site research and analysis revealed that location, construction width, the day's worksite lot, work scope, and construction objectives were found to cause differences in construction volume. In addition to the existing work scope and work scape variables, the current study added weight constants reflecting the daily work volume based on movement conditions at site and the size of the worksite lot. In this process, the current study found that even one type of construction project can have fifteen different levels of daily construction volume. Such detailed classification was deemed to enable the proper calculation of construction costs based on worksite conditions.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.426-432
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• 2022

HVAC systems play a critical role in reducing energy consumption in buildings. Integrating occupants' thermal comfort evaluation into HVAC control strategies is believed to reduce building energy consumption while minimizing their thermal discomfort. Advanced technologies, such as visual sensors and deep learning, enable the recognition of occupants' discomfort-related actions, thus making it possible to estimate their thermal discomfort. Unfortunately, it remains unclear how accurate a deep learning-based classifier is to recognize occupants' discomfort-related actions in a working environment. Therefore, this research evaluates the classification performance of occupants' discomfort-related actions while sitting at a computer desk. To achieve this objective, this study collected RGB video data on nine college students' cold discomfort-related actions and then trained a deep learning-based classifier using the collected data. The classification results are threefold. First, the trained classifier has an average accuracy of 93.9% for classifying six cold discomfort-related actions. Second, each discomfort-related action is recognized with more than 85% accuracy. Third, classification errors are mostly observed among similar discomfort-related actions. These results indicate that using human action data will enable facility managers to estimate occupants' thermal discomfort and, in turn, adjust the operational settings of HVAC systems to improve the energy efficiency of buildings in conjunction with their thermal comfort levels.

• Educational Technology International
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• v.15 no.2
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• pp.117-141
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• 2014

This qualitative study investigated different interaction patterns in an online discussion. The data was collected from asynchronous discussion occurred in a graduate course. The data analysis methods include inductive analysis and mapping strategy. The results of the study suggest three layers of interaction: response sequences, interaction amongst participants, and concept map of messages. The visualization of response sequences enabled the researcher to discover complex and dynamic interaction patterns amongst participants. The many-to-many communication feature of online discussion does not always enable direct one-on-one interaction between two participants. Rather, one message contributed to multiple threads in the stream of conversation. In terms of interaction amongst participants, the interaction amongst participants, as indicated in the data, the messages also bind each participant and consequently a group(s) of participants together. It appears that the contribution of one message may not only enable a response to one participant, but also connect many participants to each other. The concept map of messages proposes that response sequences and interaction amongst participants can also be viewed between concepts within messages in the discussion. On the surface, the messages posted by individuals are linked by the system in a linear fashion as they are posted. However, the interaction extends to collaborative conversation amongst participants. Ultimately, a conceptual network of interrelated ideas including multiple perspectives is built in asynchronous discussion.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.6
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• pp.139-143
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• 2023

In this paper, compared to the RT algorithm that constitutes CT images, the TPSM algorithm available in the conical CB-CT system was applied to enable 3D CT image configuration faster than the existing RT, and the image speeds of the two algorithms were compared and analyzed. To this end, the TPSM algorithm available in the conical CB-CT system was applied to enable real-time processing in 3D CT image composition. As a result of the experiment, it was found that the cross-sectional image constructed using TPSM decreases the quality of the image slightly by empty pixels as the distance from the center point increases, but in the case of TPSM rotation-based methods, the image composition speed is far superior to that of the RT algorithm.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.5
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• pp.867-874
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• 2023

In this paper, a wireless communication-based sensor data monitoring device with an explosion-proof (Exd IIC) case was implemented to enable installation at explosion-risk industrial sites such as plants. In existing industrial plant sites, most of the temperature sensors and vibration and impact sensors are wired up to several kilometers, which takes a lot of time and money to bury long pipes and cables. In addition, there are not many cases where some wireless devices have been applied to actual plant industry sites due to communication quality problems. Therefore, in order to solve this problem, zigbee mesh wireless communication was applied to provide high reliability wireless communication quality to industrial plant sites, and the time and cost incurred in new or additional installation of sensors could be greatly reduced. In particular, in the event of loss or error of some wireless communication devices, the communication network is automatically bypassed or recovered to enable real-time data monitoring.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.5
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• pp.1609-1623
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• 2014

A number of studies have been conducted recently regarding the development of automation systems for the construction sector. Much of this attention has focused on earthwork because it is highly dependent on construction machines and is regarded as being basic for the construction of buildings and civil works. For example, technologies are being developed in order to enable earthwork planning based on construction site models that are constructed by automatic systems and to enable construction equipment to perform the work based on the plan and the environment. There are many problems that need to be solved in order to enable the use of automatic earthwork systems in construction sites. For example, technologies are needed for enabling collaborations between similar and different kinds of construction equipment. This study aims to develop a construction system that imitates collaborative systems and decision-making methods that are used by humans. The proposed system relies on the multi-agent concept from the field of artificial intelligence. In order to develop a multi-agent-based system, configurations and functions are proposed for the agents and a framework for collaboration and arbitration between agents is presented. Furthermore, methods are introduced for preventing duplicate work and minimizing interference effects during the collaboration process. Methods are also presented for performing advance planning for the excavators and compactors that are involved in the construction. The current study suggests a theoretical framework and evaluates the results using virtual simulations. However, in the future, an empirical study will be conducted in order to apply these concepts to actual construction sites through the development of a physical system.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.72-80
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• 2016

In this paper, we did not observe only the actual condition of accounting education, but also proposed the improvements for better education in commercial high schools in Jeju. We expect that those enable the high school students to be interested in accounting. These days, crisis of the accounting education is not only caused by poor educational system, but also is caused in large part by lack of efforts for improving the accounting education. In order to improve the quality of the accounting education and enable the students to be interested in accounting, it is necessary to understand why the students feel difficult about accounting. Learning the reasons enables teachers to educate by much more personalized curriculum, so that those will provide the opportunities to enable the students to pay more attention to accounting. we analyzed the realities in educating accounting by conducting a survey for the students. We also proposed the improvements based on the results of analyzing the realities of the accounting educations. The improvements are followings. First, the accounting education should be educated through various ways. Second, curriculum fitted to the high school students level should be developed. Third, subjects related with accounting should be improved by considering efficiency.

• Journal of Korean Society of Transportation
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• v.28 no.2
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• pp.87-98
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• 2010

Recently active policies of bicycle in many municipalities have been selected as the main policies. And a bike-related research is a difference in the direction of research according to socially active atmosphere on a bike using. Recent the research of approaches to enable bike use according to regional characteristics focused on Busan has been conducted is differentiated. But A different approach should be considered on the small town smaller than Metropolitan. Because of the relatively small city-size bicycle can be a variety of purposes. Therefore, this study to research awareness assessment methods of these local residents on the bike use inquires to the awareness of local residents in addition to the physical condition of facilities and policies target for the dong unit of small towns with 300,000~500,000 people. Awareness assessment methods of these local residents for the revitalization of bicycle using enable the local and regional conditions of bicycle using to compare very easily and the conception on the revitalization of bicycles using will make it possible considering the regional differences in the conditions of dong unit. Therefore, this process will be important references to be considered a differentiated analysis and approaches to enable bike use of the conditions of small towns on the bicycle using.

• Journal of the Korea Society of Computer and Information
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• v.11 no.3
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• pp.21-30
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• 2006

This study applies the cognitive apprenticeship theory a representative learning theory of constructivism. to design and create a web courseware for data device operator license. to enable research that begins with peripheral participation in Problem solving and ends with full participation and initiative, to act as a medium for assisting students in learning, to enable adaptation to actual situations through simulation studies, to allow aggressive interaction, and to help reinforce the level of data processing with regard to learning. The student was made to evaluate learning materials at real time for feedback on insufficient areas, to enable effective learning. The study was done by offering a web courseware without applying the cognitive apprenticeship theory and a web courseware with the cognitive apprenticeship theory, which was followed by an evaluation on study achievement level and learning behavior and then a survey was done after the evaluations. The results of this study were first, the learning group with web courseware applying cognitive apprenticeship theory showed more effect in improving learning achievement than the group with web courseware without the cognitive apprenticeship theory. Secondly, learning with web courseware applying cognitive apprenticeship theory was more effective for improving learning behavior.

• Journal of the Korean Statistical Society
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• v.22 no.2
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• pp.325-337
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• 1993

This paper propose two test statistics which enable us to proceed the variable selection in Fisher's linear discriminant function for the case of heterogeneous discrimination with equal training sample size. Simultaneous confidence intervals associated with the test are also given. These are exact and approximate results. The latter is based upon an approximation of a linear sum of Wishart distributions with unequal scale matrices. Using simulated sampling experiments, powers of the two tests have been tabulated, and power comparisons have been made between them.