• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.05a
• /
• pp.594-597
• /
• 2022

Recommendation systems are a prominent approach for users to make informed automated judgments. In terms of movie recommendation systems, there are two methods used; Collaborative filtering, which is based on user similarities; and Content-based filtering which takes into account specific user's activity. However, there are still issues with these two existing methods, and to address those, a combination of collaborative and content-based filtering is employed to produce a more effective system. In addition, various similarity methodologies are used to identify parallels among users. This paper focuses on a survey of the various tactics and methods to find solutions based on the problems of the current recommendation system.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.14 no.1
• /
• pp.1-8
• /
• 2010

It is required to polish the components of administrative services constructively and technologically in order to achieve adminstration the u-Gov pursues. Therefore, the government needs to provide management on united information by combining collaborative construction and Convergence technology. This is called to be UT based positioning system. The system ought to be spread out and is contributed to enlarge interaction. For these reasons, in this paper, I embodied the fundamental st겨cture of new the service application through drawing UT based requirements for an establishment of its prototype.

• International Journal of Naval Architecture and Ocean Engineering
• /
• v.9 no.4
• /
• pp.373-381
• /
• 2017

A Collaborative Optimization (CO) methodology for ring-stiffened composite material pressure hull of underwater vehicle is proposed. Structural stability and material strength are both examined. Lamination parameters of laminated plates are introduced to improve the optimization efficiency. Approximation models are established based on the Ellipsoidal Basis Function (EBF) neural network to replace the finite element analysis in layout optimizers. On the basis of a two-level optimization, the simultaneous structure material collaborative optimization for the pressure vessel is implemented. The optimal configuration of metal liner and frames and composite material is obtained with the comprehensive consideration of structure and material performances. The weight of the composite pressure hull decreases by 30.3% after optimization and the validation is carried out. Collaborative optimization based on the lamination parameters can optimize the composite pressure hull effectively, as well as provide a solution for low efficiency and non-convergence of direct optimization with design variables.

• Journal of the Korean Society of Industry Convergence
• /
• v.25 no.5
• /
• pp.909-915
• /
• 2022

In this paper, a robot automation technology for chemical tank lorry unloading is presented. Handling chemical coupler between tank lorry and ACQC system may be hazardous or toxic to human operators, therefore robot automation is essential. Due to tight tolerance between couplers, even small pose error may result in very large internal force. In order to resolve the problem, compliance between male and female couplers should be introduced with 6-axis compliance device with F/T sensing. The proposed robot automation system consists of a collaborative robot, 6-ax is compliance device with F/T sensing, linear gripper, and robot vision. The position/force control algorithm and experimental results for assembling chemical couplers are presented.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.1
• /
• pp.173-183
• /
• 2018

It is a very difficult task to establish a collaborative procedure in a new business that requires multilateral collaboration or to revise the regulation by analyzing and proving objectively the problems in the collaborative process conducted already by multilateral collaboration. In this paper, we proposed an optimization model for collaborative process to establish the operation procedure between collaborative parties using PERT/CPM network diagram which allows us to calculate the processing time. In order to verify the effectiveness and usefulness of our model for the collaboration process optimization developed in this study, we applied the developed collaborative procedure to student selection of the work-and-study-in-parallel course associated with a degree executed by Ministry of Employment and Labor. This study can be useful not only for newly establishing or reconfiguring collaborative procedures but also for standardizing the business procedures for building information systems between collaborative organizations.

• Journal of Convergence for Information Technology
• /
• v.10 no.9
• /
• pp.173-182
• /
• 2020

In recent years, collaborative learning in university courses has been emphasized in order to improve collective intelligence. Based on literature reviews, individual creativity was used as a variable of personal characteristic, team trust and collective efficacy were used as variables of teams to see the relationship with collective intelligence as a variable of learning outcome. Data were collected from 770 students from A University in Gyeonggi-do, H University in the Daejeon, and K University in Chungcheong-do, and analyzed by using structural equations modeling. As results, individual creativity had significant influence on collective efficacy and collective intelligence. Team trust also had significant influence on collective efficacy and collective intelligence. In addition, collective efficacy had a positive effect on collective intelligence. This study will be able to utilize basic data for establishing instructional design and strategies of collaborative learning in the universities.

• Journal of Convergence for Information Technology
• /
• v.11 no.7
• /
• pp.91-103
• /
• 2021

As knowledge management is recognized as an important competency of organizations, organizations are continuously investing in knowledge management policies and technologies. Knowledge management preemptively requires employees to share knowledge, but sharing activities for continuous knowledge management have not been performed. The purpose of this study is to verify the effect of the organization's mutual exchange efforts through collaborative communication on the knowledge sharing intention of its employees. The study surveyed workers of organizations that operate knowledge management policies and verified the research hypothesis by applying 326 samples to structural equation modeling. As a result of the analysis, factors of collaborative communication(rationality, reciprocal feedback, formality) had a positive effect on the intention to share knowledge, and task interdependence and territoriality had a moderating effect on the relationship between collaborative communication and intention to share knowledge. The study has implications in terms of suggesting an activity strategy that an organization should pursue to improve knowledge sharing among its employees.

• Journal of the Korea Convergence Society
• /
• v.10 no.7
• /
• pp.71-76
• /
• 2019

The purpose of this study is to investigate the effect of action learning methods and practices, which have a research focus on learner-centered teaching after training students to use collaborative learning practices from the viewpoint that the learners acquire English skills through peer correction activities based on sociocultural learning theory[1]. From March 1, 2018 to June 15, 2018, one control class and one experimental group were selected from the general freshman English courses. The experimental group attended classes centered on collaborative writing activities using action learning and cooperation techniques, and the control group attended classes lecture style and rote learning methods to teach writing. The result of study has shown that, for the experimental group, there have been statistically significant results in the production of writing, such as the number of words, the number of sentences, and sentence length. Learners could share the knowledge or ideas of others in their learning relationships with more regular basis.

• Journal of Convergence for Information Technology
• /
• v.9 no.6
• /
• pp.83-90
• /
• 2019

People constantly strive for better choices. For this reason, recommender system has been developed since the early 1990s. In particular, collaborative filtering technique has shown excellent performance in the field of recommender systems, and research of recommender system using machine learning has been actively conducted. This study constructs recommender system using collaborative filtering and machine learning based on stacking model which is one of ensemble methods. The results of this study confirm that the recommender system with the stacking model is useful in aspects of recommender performance. In the future, the model proposed in this study is expected to help individuals or firms to make better choices.

• Journal of the Korea Convergence Society
• /
• v.12 no.5
• /
• pp.393-403
• /
• 2021

This study examined the effect of the industrial nursing practical education program applying online collaborative learning on perceived motivation, problem-solving ability, and communication ability of nursing students in COVID-19 period. The study was carried out according a non-equivalent control group pretest-posttest design. The study subjects were 35 nursing college students from K City. Data collection was from October 19 to November 12, 2020. Collected data were analyzed using IBM SPSS 22.0 with the 𝑥² test, Fisher's exact test, independent t-test, Mann-Whitney U test. The experimental group had significantly different perceived motivation, and problem-solving ability in comparison to the control group. This suggests that the industrial nursing practical education program applying online collaborative learning in the COVID-19 period can be applied as a way to increase nursing students' perceived motivation, and problem-solving ability.