• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.66
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• pp.1-10
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• 2001

Simulation-Based Expert System(SIMBES) is a very effective tool to solve complex antral hard problems. The SIMBES model includes a simulator, a feature extractor, a machine learning system, a performance evaluator, and a Knowledge-Based Expert System(KBES). Since SIMBES depends on Problem domains, a schedule-based material requirements planning problem, which is NP-hard, was selected to exemplify the SIMBES model. To implement the SIMBES application in Smalltalk paradigm, a system class hierarchy was constructed. The hierarchy consists of five large classes such as Job Generator, Job Scheduler, Job Evaluator, Inference Engine, and Executive System. Several classes inside these classes were identified. Additionally, instance protocols about all classes have been described in terms of messages and pseudo methods. These protocols can be implemented easily by any other object-oriented languages. Furthermore, these results may be used as a skeletal system to develop a new SIMBES efficiently, especially when the application is related to other scheduling problems.

• International Journal of Contents
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• v.7 no.1
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• pp.52-57
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• 2011

The organizational theory and design in future encourages us to bring a fluid perspective to the problems and challenges face. Organizational structure, strategy, management style, teamwork, organizational change, and even products and services can be vitalized and re-formed through creative images that allow us to act in new ways. Leaders and educators sat all levels must gain comfort in dealing with the insights and implications of diverse perspectives. In a leadership paradigm in action, leaders and educators who have more flexibility and willingness to create a learning organization are successful in improving productivity and student empowerment. The key element to organizational structure and changes for interior design education becomes communications. Finally, we need to recognize that despite its roots in mechanistic thinking, organization is a creative process of imagination. We organize as we imagine, and it is always possible to imagine in new ways.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.6
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• pp.1673-1682
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• 2016

The paper is the principle of a curriculum, a recent method of teaching-learning in pedagogy, and intended for the exploration of the meaning of which reconstructs curriculum by narrative through practical exploration and narrative being discussed as the form of exploration. To date, Korean education showed an inclination of the traditional paradigm centered thinking and has emphasized the results by the method of scientific investigation. Even a curriculum reconstruction demonstrates documents that produce results without actually demonstrating the actual school setting. With communication one another is becoming increasingly important, we need the conversion of cognitive thinking that can express dilemma, contradictions, and complexities of the human world of which unexplainable by traditional paradigm mindset. Ultimately, the exploration of the direction that reflects a series of verbal, symbolic, and spiritual activities, which analyze lives of students, understanding and composing the meaning by using narrative, which talks about the experience of the human world in curriculums, is an important task for us.

• Journal of Information Processing Systems
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• v.8 no.2
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• pp.191-212
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• 2012

Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary; estimating a user's interests typically involves non-stationary distributions. The consequent time varying nature of the distribution to be tracked imposes stringent constraints on the "unlearning" capabilities of the estimator used. Therefore, resorting to strong estimators that converge with a probability of 1 is inefficient since they rely on the assumption that the distribution of the user's preferences is stationary. In this vein, we propose to use a family of stochastic-learning based Weak estimators for learning and tracking a user's time varying interests. Experimental results demonstrate that our proposed paradigm outperforms some of the traditional legacy approaches that represent the state-of-the-art technology.

• ETRI Journal
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• v.33 no.2
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• pp.240-250
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• 2011

To enable a relevance feedback paradigm to evolve itself by users' feedback, a reinforcement learning method is proposed. The feature space of the medical images is partitioned into positive and negative hypercubes by the system. Each hypercube constitutes an individual in a genetic algorithm infrastructure. The rules take recombination and mutation operators to make new rules for better exploring the feature space. The effectiveness of the rules is checked by a scoring method by which the ineffective rules will be omitted gradually and the effective ones survive. Our experiments on a set of 10,004 images from the IRMA database show that the proposed approach can better describe the semantic content of images for image retrieval with respect to other existing approaches in the literature.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.11a
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• pp.336-339
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• 1999

Education paradigm is moved from traditional face-to-face method to cyber education environment. Therefore, we extracted the components of cyber education system and their detail functions through analysis on the workflow of education and learning standard technology. In addition, we think that template system will make a big role in order to deploy the cyber education system. Therefore, we designed the template system for cyber education. In this paper, we particularly describe both evaluation funrtion on course learning records and statistics function ell evaluation records.

• Journal of Korea Multimedia Society
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• v.21 no.11
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• pp.1353-1361
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• 2018

With the availability of real-time educational data collection and analysis techniques, the education paradigm is shifting from educator-centric to data-driven lectures. However, most offline and online education frameworks collect students' feedback from question-answering data that can summarize their understanding but requires instructor's attention when students need additional help during lectures. This paper proposes a content restructure recommendation framework based on collected student feedback. We list the types of student feedback and implement a web-based framework that collects both implicit and explicit feedback for content restructuring. With a case study of four-week lectures with 50 students, we analyze the pattern of student feedback and quantitatively validate the effect of the proposed content restructuring measured by the level of student engagement.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.374-386
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• 2022

Nowadays, research in deep learning leveraged automated computing and networking paradigm evidenced rapid contributions in terms of Software Defined Networking (SDN) and its diverse security applications while handling cybercrimes. SDN plays a vital role in sniffing information related to network usage in large-scale data centers that simultaneously support an improved algorithm design for automated detection of network intrusions. Despite its security protocols, SDN is considered contradictory towards DDoS attacks (Distributed Denial of Service). Several research studies developed machine learning-based network intrusion detection systems addressing detection and mitigation of DDoS attacks in SDN-based networks due to dynamic changes in various features and behavioral patterns. Addressing this problem, this research study focuses on effectively designing a multistage hybrid and intelligent deep learning classifier based on modified deep forest classification to detect DDoS attacks in SDN networks. Experimental results depict that the performance accuracy of the proposed classifier is improved when evaluated with standard parameters.

• Knowledge Management Research
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• v.6 no.1
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• pp.105-122
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• 2005

The LG Electronics case shows the process whereby an organization evolves as a learning organization through the integration of e-learning and knowledge management. In other words, it shows the process whereby e-learning is recognized as an important means of solving a problem concerning actual worksite operations, as it became one of the daily activities in the organization. In terms of organizational learning, this process points to the fact that e-learning is emerging as the fastest and most effective means of transferring the internally shared value of a company. Recently, advanced corporations and organizations have been endeavoring to boost their internal and external customer satisfaction and customer loyalty, paving the way for changes in their organizational cultures, and establishing learning organizations through e-learning. Therefore, from an advanced viewpoint, e-learning within a company is not a simple system of transferring educational contents, but is a knowledge portal concept connected with knowledge management. To achieve this end, the organization is required to undergo changes that is, it should make the acquisition of learning possible through e-learning and a knowledge management system (KMS) in order to improve corporate performance. Since LG Electronics is utilizing e-learning as a strategic means to change the paradigm of corporate education, and, in particular, is attempting to integrate this with knowledge management, insights that will facilitate the understanding of the core success factors in and challenges to the integration of knowledge management and e-learning can be obtained through this case.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.2
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• pp.245-250
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• 2005

With rapid development of Internet, new paradigm creation requirement about the education environment and method is increasing and also the e-learning to apply traditional education industry was introduced in many field of education. The research about a learner's satisfaction of the e-learning, aided by effort to spread this e-learning, have been processed much but most of these researches were intended for the enterprise and there are few for the high school. Therefore, in this study we proposed a model for evaluating the education satisfaction of the e-learning and analyzed the consciousness structure about the e-learning education satisfaction of the high school students using Fuzzy Structural Modeling method. Also, constructing an evaluation model considered the results of consciousness structure analysis, we evaluated the e-learning education satisfaction and showed a method which improved it by the sensitivity analysis.