• Architectural research
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• v.12 no.1
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• pp.9-14
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• 2010

The present study explored the applicability of Visibility Graph Analysis (VGA) techniques to workplace design research. Six types of VGA measures in Depthmap encompassing visual connectivity, three types of visual integration, mean depth, and visual entropy were employed for the analysis of individual privacy for task concentration and group relationship behavior in the open-plan office environment. Data comprised 136 workers in 6 open-plan offices filled with low-paneled (1.2-1.5m) cubicle workspaces. For the statistical analysis, Spearman's rho correlations and t-tests were applied for the spatial and behavioral measures. The results showed that workspace VGA measures have a potential to be useful information to account for workers' concentration privacy and, limitedly, also informal relationships with team members. Visual entropy values especially offer reliable information to predict various aspects of office workers' privacy behavior while visual integration can be used to account for the workers' sense of trust in group relations. The study also discussed the limitation of VGA applications to the workplace context.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.3
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• pp.511-521
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• 2012

JXTA technology is a set of open protocols that enable any connected device on the internet or MANET(Mobile Adhoc NETwork) to communicate in a P2P manner. In this paper, we present a JXTA-based smartphone collaborative application. For this, we define the core services and collaborative services necessary for a P2P network, and design proper protocols to support the services. The developed application provides the effective environment for group works in smartphones, supporting the various virtual workspaces. Since application supports the group works among users in close-range without relying on the mobile network, it could be very useful in various situations such as the disaster area.

• Korean Journal of Occupational Health Nursing
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• v.19 no.2
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• pp.117-127
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• 2010

Purpose: The purpose of this study was to investigate the factors that influenced the preparation for later life of the age group of 30s, 40s, and 50s in production workers. Methods: The participants for this study were 320 men working in 2 workspaces of Ulsan city. The data was collected from May to July, 2010 using structured questionnaires. Chi-square, One way ANOVA, Duncan test, Pearson's Correlation Coefficient and multiple regression with the SPSS WIN 17.0 program were used to analyze the data. Results: There were statistically significant differences among 30s, 40s, and 50s workers regarding the preparation for later life, health promoting behavior, knowledge and attitude of cerebrocardiovascular (CVD) diseases. 50s workers were significantly more higher than 30s and 40s regarding the preparation for later life, health promoting behavior, cognition and attitude of CVD diseases. The model including variables related to the preparation for later life explained variance of 42.3% of 30s, 36.0% of 40s, and 28.5% of 50s workers. Finally, cognition of CVD diseases and social support were predictors in explaining the level of the preparation for later life among production workers. Conclusion: Based on the findings of the study, nursing interventions should be developed to improve the preparation for later life of production workers according to age differences.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.608-615
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• 2022

Construction projects are large-scale projects that require extensive construction costs and resources. Especially, scheduling is considered as one of the essential issues for project success. However, the schedule and resource management are challenging to conduct in high-tech construction projects including complex design of MEP and architectural finishing which has to be constructed within a limited workspace and duration. In order to deal with such a problem, this study suggests resource and sequence optimization using constraint programming in construction projects. The optimization model consists of two modules. The first module is the data structure of the schedule model, which consists of parameters for optimization such as labor, task, workspace, and the work interference rate. The second module is the optimization module, which is for optimizing resources and sequences based on Constraint Programming (CP) methodology. For model validation, actual data of plumbing works were collected from a construction project using a five-minute rate (FMR) method. By comparing actual data and optimized results, this study shows the possibility of reducing the duration of plumbing works in construction projects. This study shows decreased overall project duration by eliminating work interference by optimizing resources and sequences within limited workspaces.

• Research in Mathematical Education
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• v.27 no.3
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• pp.335-365
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• 2024

Learning mathematics in a student-centered, problem-based classroom requires students to develop mathematical understanding and reasoning collaboratively with others. Despite its critical role in students' collaborative learning in groups and classrooms, evidence of student thinking has rarely been perceived and utilized as a resource for planning and teaching. This is in part because teachers have limited access to student work in paper-and-pencil classrooms. As an alternative approach to making student thinking visible and accessible, a digital collaborative platform embedded with a problem-based middle school mathematics curriculum is developed through an ongoing design-based research project (Edson & Phillips, 2021). Drawing from a subset of data collected for the larger research project, we investigated how students generated mathematical inscriptions during small group work, and how teachers used evidence of students' solution strategies inscribed on student digital workspaces. Findings show that digital flexibility and mobility allowed students to easily explore different strategies and focus on developing mathematical big ideas, and teachers to foreground student thinking when facilitating whole-class discussions and planning for the next lesson. This study provides insights into understanding mathematics teachers' interactions with digital curriculum resources in the pursuit of students' meaningful engagement in making sense of mathematical ideas.

• Journal of the Korean Society of Safety
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• v.29 no.5
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• pp.146-153
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• 2014

This study looks at the impact of psychological and physical factors of the working conditions on the health of workers depending on whether technology is used by such workers. The data used for the study is the third work environment survey. Out of 50,032 respondents, a total of 29,711 paid workers were used as analysis subjects. Although it was anticipated that the use of technology was a factor that hindered job autonomy and teamwork autonomy. However, the analysis results showed low levels of job autonomy and teamwork autonomy in the group that did not use technology. The study assumes a regression analysis model about work environment and work organizational practices of workspaces that have an impact on musculoskeletal complaints, stress symptoms and level of work satisfaction by controlling the social demographic variable that represents the level of individual sensitivity. As a result of the study, ergonomic risk had a significant effect on both groups that did or did not use technology with respect to stress symptoms, musculoskeletal complaints and level of work satisfaction. In particular, as workspace practices and work environment had an effect on the development of musculoskeletal complaints in the group that used machines, there is a need to improve such situation. The autonomous team work or level of job autonomy within the group that used technology may act as a risk factor to the health and welfare of workers. However, because it may also act as a buffer factor, there is a need for a change to reduce stress symptoms and increase the level of work satisfaction by improving autonomous team work and the level of job autonomy.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.1
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• pp.233-241
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• 2010

CoSlide is a collaborative system, extending the Jakarta Slide WebDAV server. The CoSlide server provides group workspaces for collaborators. CoSpace is a client which supports various collaborative authoring activities on the CoSlide server through the WebDAV protocol. CoSpace provides graphic user interfaces to support effective interaction among the collaborators, managing the shared resources for them. However, during collaboration, simultaneous modifications on the content of shared resources might cause conflicts among the content of the revisions made by the collaborators, leading to serious problems on project progress. In this paper, we describe an extension of the CoSpace client to solve the problem. The extended CoSpace client supports the remote version management facility through which the collaborators can manage the versions of the associated server resources in the distance. Also, to identify the changes of the text files such as program source codes, the extended client provides the facility for comparing two versions and displaying the differences in a visual manner. In addition, it provides the version management of a whole workspace and the removal of all the unnecessary versions of the designated resources.

• The KIPS Transactions:PartD
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• v.16D no.6
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• pp.851-858
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• 2009

Mobbing is not restricted to problem of young people but the bigger recent problem occurs in workspaces. According to reports of ILO and domestic case mobbing in the workplace is increasing more and more numerically from 9.1%('03) to 30.7%('08). These mobbing brings personal and social losses. The proposed algorithm makes it possible to grasp not only current mobbing victims but also potential mobbing victims through user profile and contribute to efficient personnel management. This paper extracts user profile related to mobbing, in a way of selecting seven factors and fifty attributes that are related to this matter. Next, expressing extracting factors as '1' if they are related me or not '0'. And apply similarity function to attributes summation included in factors to calculate similarity between the users. Third, calculate optimizing weight choosing factors included attributes by applying neural network algorithm of SPSS Clementine and through this summation Mobbing-Value(MV) can be calculated . Finally by mapping MV of online social network users to G2 mobbing propensity classification model(4 Groups; Ideal Group of the online social network, Bullies, Aggressive victims, Victims) which is designed in this paper, can grasp mobbing propensity of users, which will contribute to efficient personnel management.