• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.135-146
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• 2023

An effective educational program warrants the inclusion of an innovative construction which enhances the higher education efficacy in such a way that accelerates the achievement of desired results and reduces the risk of failures. Educational Decision Support System (EDSS) has currently been a hot topic in educational systems, facilitating the pupil result monitoring and evaluation to be performed during their development. Insufficient information systems encounter trouble and hurdles in making the sufficient advantage from EDSS owing to the deficit of accuracy, incorrect analysis study of the characteristic, and inadequate database. DMTs (Data Mining Techniques) provide helpful tools in finding the models or forms of data and are extremely useful in the decision-making process. Several researchers have participated in the research involving distributed data mining with multi-agent technology. The rapid growth of network technology and IT use has led to the widespread use of distributed databases. This article explains the available data mining technology and the distributed data mining system framework. Distributed Data Mining approach is utilized for this work so that a classifier capable of predicting the success of students in the economic domain can be constructed. This research also discusses the Intelligent Knowledge Base Distributed Data Mining framework to assess the performance of the students through a mid-term exam and final-term exam employing Multi-agent system-based educational mining techniques. Using single and ensemble-based classifiers, this study intends to investigate the factors that influence student performance in higher education and construct a classification model that can predict academic achievement. We also discussed the importance of multi-agent systems and comparative machine learning approaches in EDSS development.

• The Journal of Bigdata
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• v.8 no.2
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• pp.201-222
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• 2023

As the e-Commerce gets increased based on the platform, a lot of small and medium sized sellers have tried to develop the more effective strategies to maximize the profit. In order to increase the profitability, it is quite important to make the strategic decisions based on the range of promotion, discount rate and categories of products. This research aims to develop the business intelligence application which can help sellers of e-Commerce platform make better decisions. To decide whether or not to promote, it is needed to predict the level of increase in sales after promotion. I n this research, we have applied the various machine learning algorithm such as MLP(Multi Layer Perceptron), Gradient Boosting Regression, Random Forest, and Linear Regression. Because of the complexity of data structure and distinctive characteristics of product categories, Random Forest and MLP showed the best performance. It seems possible to apply the proposed approach in this research in support the small and medium sized sellers to react on the market changes and to make the reasonable decisions based on the data, not their own experience.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.57-65
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• 2023

This study examined the obstacles of important factors involved in the start-up decision process for prospective entrepreneurs and plans after graduation while attending hair and beauty colleges and analyzed them in a phenomenological way to establish countermeasures. The subjects of the study agreed to collect data from 10 prospective entrepreneur doctors and plans after graduation while attending hair and beauty college located in G, and were in-depth from December 15 to December 30, 2022. The collected data were analyzed using the Colaizzi method. The results of this study were extracted with 13 topics and two subject collections that represent the characteristics of the experience in the preliminary start-up process of the participants. Based on the results of this study, it is meaningful to examine the obstacles of the factors that are importantly involved in the start-up decision process and establish countermeasures accordingly. In conclusion, at a time when the market for start-ups is expanding and government support is increasing, the factors affecting the will of college students, who are potential professional managers in the future, and effective implications for enhancing the university's start-up infrastructure, start-up difficulties, and start-up motivation were obtained. Therefore, it is urgent to develop efficient performance counseling research or program counseling that can promote and support mental and environmental growth through career development required for the difficulties of the decision process of prospective entrepreneur hair college students and the situations they face. It is necessary to develop various measurement tools in consideration of the level of career development and development of a start-up decision-making process model that can fully grasp the status of start-ups of prospective start-ups.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.04a
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• pp.409-414
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• 2003

In the beginning of the 21s1 century, the world has been making rapid progress and changed all over the areas. Like the rest, as all domiciliary circumstances for a local development have changed, the continuous development considered environmental view has been accounted as much compared with the high growth-oriented development based on the efficiency so far. As the volume of traffic in urban community increases, the environmental load enlarges inevitably. Particularly, the excess and deficiency problems for all sorts of traffic facilities, like the shortage of parking lots continue to happen in proportion to the increase in traffic. For a design to solve these problems, introduction of the Geographic Information System; GIS applied widely over various fields become necessary. In this research, the supply-demand situation in urban areas is observed. The application of GIS for the purpose of the improvement of parking lot management technique to control effectively facilities related to parking lot in the city brings promoting the efficiency of business data inquiry, data management data correction and so on through graphic and non-graphic database for every kind of draft data, record and register data. The graphic users interface to support effective decision-making is applied for the improvement of work in this study. This research also suggests the way to utilize common database considered linkage with sub-systems related existing urban information system by developing the parking lot management system.

• Proceedings of the Korean Geotechical Society Conference
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• 2009.03a
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• pp.667-672
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• 2009

Gathering information and systemization of infrastructure disaster management is to reduce uncertainties in making decisions and maximize the number of alternations. The key objects of a sensor-based progress report and propagation automation systems are to provide objective data, realize and support decision making and deliver them to a certain area, department, manager and other people rapidly. The major findings and results of this study are as follows. 1) Application of international standard-based alerting protocol(CAP; Common Alerting Protocol). 2) Development of database of existing progress report and propagation manual in order to achieve networking of safety management on major social infrastructure of the nation. 3) Development middleware application programs to progress report and propagation data using SMS, FAX, EMS, VMS, MMS.

• Journal of Information Technology Applications and Management
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• v.16 no.3
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• pp.113-124
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• 2009

How can action learning program promote organizational learning performance and especially project based team performance in Web-based small and medium-sized enterprises (SMEs)? This article discusses the association between project based team in action learning program and the performance of Web-based SME to be learning organization. In the case of ALPACO, action learning program that promote employee communication behavior, knowledge sharing, and organizational learning are found to be positively associated with the project based team performance and organizational learning, The results indicate that action learning program in SMEs indeed associated with greater knowledge sharing, learning communication skills and changing organizational culture. Learning organization can be, in turn, positively developed by project based team through action learning program for creating competitive advantage, Also, this study offers further support for the practical perspective on learning organization performance. The evidence from this case study suggests that the project team in action learning program playa significant role in team performance and the development of learning organization of the firm. Therefore, in the future, Web-based SMEs should consider making investments in action learning program that encourage project team's effective management in decision making, knowledge sharing, and organizational learning.

• Journal of the Korea Institute of Military Science and Technology
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• v.14 no.6
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• pp.1097-1106
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• 2011

Tactical Information Communication Network(TICN), a concept-type integrated Military Communication system that enables precise command control and decision making, is designed to advance into high speed, large capacity, long distance wireless relay transmission. To support mobility in battlefield environments, the application of Ad-hoc networking technology to its wireless communication has been examined. Ad-hoc network works properly only if the participating nodes cooperate in routing and packet forwarding. However, if selfish nodes not forwarding packets of other nodes and malicious nodes making the false accusation are in the network, it is faced to many threats. Therefore, detection and management of these misbehaving nodes is necessary to make confident in Ad-hoc networks. To solve this problem, we propose an efficient intrusion detection technique to detect and manage those two types of attacks. The simulation-based performance analysis shows that our approach is highly effective and can reliably detect a multitude of misbehaving node.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.25 no.2
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• pp.38-48
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• 2012

Background : The atopic dermatitis patient and their families are looking for safer herb-medicine treatments that possess therapeutic effects, but without the recurrence of symptoms and long-term harmful consequences that can result from other treatment. However, for many reasons, including methodological difficulties and lack of high quality study like randomized clinical study and systematic review, there are no consistent clinical guide line for atopic dermatitis in Traditional Korean Medicine. Objectives : Evidence-based clinical practice guidelines support clinical decision-making by making recommendations to guide clinical practice. The purpose of this study was to develop Traditional Korean Medicine clinical practice guideline for atopic dermatitis Result : The future guide should be based on scientific evidence and include the followings: (1) diagnosis of atopic dermatitis (2) the pattern identification of atopic dermatitis (3) classification of Sasang Constitution (4) efficacy assessment (5) treatment guideline (6) education for patients and care givers Conclusion : The development of Traditional Korean Medicine clinical practice guideline for atopic dermatitis is needed.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.27 no.3
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• pp.90-97
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• 2019

The International Civil Aviation Organization(ICAO) recently established the Global Aviation Safety Plan(GASP) for national aviation safety management, along with the enactment of Annex 19, Safety Management System(SMS). ICAO require the establishment of the 'States Safety Programs(SSP)' for countries with excellent safety evaluation, including Korea, and the establishment of aviation safety supervision systems for all Contracting States by 2017 under the enactment of ICAO Annex 19. Required. The Ministry of Land, Infrastructure, and Transport has continuously invested in R&D to secure such aviation safety systematically, and is making efforts to develop and disseminate related technologies by establishing long-term R&D roadmaps. A study on aviation safety supervision among the system-based aviation safety supervision support technology development R&D project, which is underway as part of the aviation safety technology development project of the Ministry of Land, Infrastructure and Transport. We conducted a study to see if this methodology logically guarantees reasonableness.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.22-31
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• 2023

Governments around the world are enacting laws mandating explainable traceability when using AI(Artificial Intelligence) to solve real-world problems. HAI(Human-Centric Artificial Intelligence) is an approach that induces human decision-making through Human-AI collaboration. This research presents a case study that implements the Human-AI collaboration to achieve explainable traceability in governmental data analysis. The Human-AI collaboration explored in this study performs AI inferences for generating labels, followed by AI interpretation to make results more explainable and traceable. The study utilized an example dataset from the Ministry of Oceans and Fisheries to reproduce the Human-AI collaboration process used in actual policy-making, in which the Ministry of Science and ICT utilized R&D PIE(R&D Platform for Investment and Evaluation) to build a government investment portfolio.