• Journal of Korea Multimedia Society
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• v.24 no.6
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• pp.745-752
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• 2021

In this paper, we propose a system that recognizes weed images using a classifier based on ResNeXt model. On the server of the proposed system, the ResNeXt model extracts the fine features of the weed images sent from the user and classifies it as one of the most similar weeds out of 21 species. And the classification result is delivered to the client and displayed on the smartphone screen through the application. The experimental results show that the proposed weed recognition system based on ResNeXt model is superior to existing methods and can be effectively applied in the real-world agriculture field.

• Convergence Security Journal
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• v.16 no.5
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• pp.81-86
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• 2016

Recently, increasing security threats are not only interfering with business continuity of companies but they are al so causing serious problems on social and national levels. As violation of intellectual property rights increases due to growing competition between different companies and countries, companies are now required to follow various IT compliance regulations, under relevant legal obligations. This study proposed a model of convergence security compliance management by using machine learning, in order to help companies actively utilize IT compliance.

• Wind and Structures
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• v.24 no.3
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• pp.223-247
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• 2017

By using numerical simulation, vast and detailed information and observation of the physics of flow over a train model can be obtained. However, the accuracy of the numerical results is questionable as it is affected by grid convergence error. This paper describes a systematic method of computational grid refinement for the Unsteady Reynolds Navier-Stokes (URANS) of flow around a generic model of trains using the OpenFOAM software. The sensitivity of the computed flow field on different mesh resolutions is investigated in this paper. This involves solutions on three different grid refinements, namely fine, medium, and coarse grids to investigate the effect of grid dependency. The level of grid independence is evaluated using a form of Richardson extrapolation and Grid Convergence Index (GCI). This is done by comparing the GCI results of various parameters between different levels of mesh resolutions. In this study, monotonic convergence criteria were achieved, indicating that the grid convergence error was progressively reduced. The fine grid resolution's GCI value was less than 1%. The results from a simulation of the finest grid resolution, which includes pressure coefficient, drag coefficient and flow visualization, are presented and compared to previous available data.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.135-142
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• 2020

The purpose of this study is to analyze the effectiveness of university convergence curriculum using CIPP model. With 758 data surveys of professors and students participating in K University's convergence education, the analysis of differences according to group characteristics and the factors affecting performance recognition and course satisfaction were analyzed. As a result of analysis, first, class activity(CA) was the highest (M=3.85), and coursework design(CD) was the lowest (M=3.35), and there were significant differences in the course objectives, course content, and class activities according to the characteristics of the group. Second, the factors affecting the performance recognition and course satisfaction of the convergence curriculum were needs analysis, coursework design, learner activity, performance recognition, and course satisfaction. In conclusion, it suggests that from the planning stage, it should be designed to reflect the needs of professors and students, and to improve satisfaction and performance recognition with novel contents and active teaching and learning activities. This study can be used as basic data for improving the quality of the convergence curriculum.

• Journal of the Korea Safety Management & Science
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• v.21 no.2
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• pp.25-42
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• 2019

The government announced that it would ask the contractors not only the supplier but also the contractors to take the same responsibilities if they did not observe industrial accident safety measures from 2019. The semiconductor manufacturing process belongs to the representative disaster industry group in which the facility is directly located inside a closed space called clean room. According to previous studies, the semiconductor industry group used checklists for safety management of their suppliers. This study has developed a model for assessing suppliers by constructing a quantitative checklist item through the risk assessment methodology, laws and regulations. The evaluation model of the supplier set up through this study becomes the safety management standard in the semiconductor industry. Furthermore, it is applied to the partner companies in the operation of ISO 14001, 45001, I would like to apply it as a measure of performance management for CSR (Corporate Social Responsibility).

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.49-56
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• 2023

The purpose of this study is to develop convergence major-based learning (CMBL), which selects performance tasks related to local problems at hand and solves them based on convergence major performance, and builds a suitable teaching and learning model. We developed a CMBL class with a team project-type class that finds and solves practical problems in the region to cultivate overall problem-solving capabilities for convergence major competencies. Additionally, for this class, the instructor played a role as a bridgehead to explore and connect the community's sites, and students visited connected institutions in person to identify problems they need based on understanding and empathy for the subjects through field observation and qualitative interviews, and developed a CMBL class teaching and learning model necessary to directly solve them by using their major capabilities to the fullest. Therefore, we intend to present the future-oriented direction of university convergence education required by the community by forming a group of students with various majors to cultivate the ability to solve realistic problems in the community.

• Computers and Concrete
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• v.19 no.6
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• pp.659-666
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• 2017

Based on the Arrhenius equations, several hydration exothermic models that precisely calculate the influence of concrete's self-temperature duration on its hydration exothermic rate have been presented. However, the models' convergence is difficult to achieve when applied to engineering projects, especially when the activation energy of the Arrhenius equation is precisely considered. Thus, the models' convergence performance should be improved. To solve this problem and apply the model to engineering projects, the relationship between fast iteration and proper expression forms of the adiabatic temperature rise, the coupling relationship between the pipe-cooling and hydration exothermic models, and the influence of concrete's self-temperature duration on its mechanical properties were studied. Based on these results, the rapid convergence of the hydration exothermic model and its coupling with pipe-cooling models were achieved. The calculation results for a particular engineering project show that the improved concrete hydration exothermic model and the corresponding mechanical model can be suitably applied to engineering projects.

• Journal of Communications and Networks
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• v.3 no.4
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• pp.342-350
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• 2001

The Internet routing instability, or the rapid fluctuation of network reachability information, is an important problem currently facing the Internet engineering community. High levels of network instability can lead to packet loss, increased network latency, and delayed routing convergence. At the extreme, high levels of routing instability can lead to the loss of internal connectivity in wide-area networks. In this paper, we investigate the variation of domain degree and domain count of the inter-domain network over time by using linear regression model in order to analyze the topology variation of inter-domain network. We Also propose an efficient policy management model to reduce the instability in the inter-domain routing system. The proposed model can be used to identify whether a routing policy is adequate to reduce convergence time that is required to return to a normal state when BGP routing instability happens. Experimental analysis shows that the proposed model can be used to set up routing policy in domains for the purpose of minimizing the effects and the propagation of BGP routing instability.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.251-257
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• 2015

Intrusion protection system is a security system that stop abnormal traffics through automatic activity by finding out attack signatures in network. Unlike firewall or intrusion detection system that defends passively, it is a solution that stop the intrusion before intrusion warning. The security performance of intrusion protection system is influenced by security auditability, user data protection, security athentication, etc., and performance is influenced by detection time, throughput, attack prevention performance, etc. In this paper, we constructed a convergence performance evaluation model about software product evaluation to construct the model for security performance evaluation of intrusion protection system based on CC(Common Criteria : ISO/IEC 15408) and ISO international standard about software product evaluation.

• Journal of Korea Multimedia Society
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• v.22 no.9
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• pp.1036-1045
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• 2019

Relational databases have a notion of normalization, in which the model for storing data is standardized according to the organization's business processes or data operations. However, the graph database is relatively early in this standardization and has a high degree of freedom in modeling. Therefore various models can be created with the same data, depending on the database designers. The essences of the graph database are two aspects. First, the graph database allows accessing relationships between the objects semantically. Second, it makes relationships between entities as important as individual data. Thus increasing the degree of freedom in modeling and providing the modeling developers with a more creative system. This paper introduces different graph models with test data. It compares the query performances by the results of response speeds to the query executions per graph model to find out how the efficiency of each model can be maximized.