• Journal of KIISE:Software and Applications
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• v.31 no.7
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• pp.949-958
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• 2004

race detection using a boosting based algorithm requires a very large size of face and nonface data. In addition, the fact that there always occurs a need for adding additional training data for better detection rates demands an efficient incremental teaming algorithm. In the design of incremental teaming based classifiers, the final classifier should represent the characteristics of the entire training dataset. Conventional methods have a critical problem in combining intermediate classifiers that weight updates depend solely on the performance of individual dataset. In this paper, for the purpose of application to face detection, we present a new method to combine an intermediate classifier with previously acquired ones in an optimal manner. Our algorithm creates a validation set by incrementally adding sampled instances from each dataset to represent the entire training data. The weight of each classifier is determined based on its performance on the validation set. This approach guarantees that the resulting final classifier is teamed by the entire training dataset. Experimental results show that the classifier trained by the proposed algorithm performs better than by AdaBoost which operates in batch mode, as well as by ${Learn}^{++}$.

• The KIPS Transactions:PartA
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• v.12A no.6 s.96
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• pp.547-556
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• 2005

Online collaborative teaming, which has emerged as a new type of education in knowledge-based society, is being discussed actively in the areas of action learning at companies and project-based learning and inquiry-based learning at schools. It regards as an effective method for improving learners practical and highly advanced problem solving abilities, and for stimulating their absorption into learning through pursuing common goals of learning together. Different from individual learning, however, collaborative learning involves complicated processes such as organizing teams, setting common goals, performing tasks and evaluating the outcome of team activities .Thus, it is difficult for a teacher to promote and evaluate the whole process of collaborative learning, and it is necessary to develop systems to support collaborative learning. Therefore, in order to monitor and promote interaction among learners in the process of collaborative learning, the present study developed an extensible collaborative teaming supporting agent (ECOLA) in online learning environments.

• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.65-79
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• 2003

In general, the extraction and recognition of identifier is very hard work, because the scale or location of identifier is not fixed-form. And, because the provided image is contained by camera, it has some noises. In this paper, we propose methods for automatic detecting edge using canny edge mask. After detecting edges, we extract regions of identifier by detected edge information's. In regions of identifier, we extract each identifier using contour tracking algorithm. The self-generation supervised learning algorithm is proposed for recognizing them, which has the algorithm of combining the enhanced ART1 and the supervised teaming method. The proposed method has applied to the container images. The extraction rate of identifier obtained by using contour tracking algorithm showed better results than that from the histogram method. Furthermore, the recognition rate of the self-generation supervised teaming method based on enhanced ART1 was improved much more than that of the self-generation supervised learning method based conventional ART1.

• Journal of Korea Multimedia Society
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• v.11 no.7
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• pp.1035-1042
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• 2008

The support vector machine, as a binary classifier, is known to surpass the other classifiers only in binary classification problems through the various experiments. Even though its theory is based on the maximal margin classifier, the support vector machine approach cannot be easily extended to the multi-classification problems. In this paper, we review the extension techniques of the support vector machine toward the multi-classification and do the performance comparison. Depending on the data decomposition of the training data, the support vector machine is easily adapted for a multi-classification problem without modifying the intrinsic characteristics of the binary classifier. The performance is evaluated on a collection of the benchmark data sets and compared according to the selected teaming strategies, the training time, and the results of the neural network with the backpropagation teaming. The experiments suggest that the support vector machine is applicable and effective in the general multi-class classification problems when compared to the results of the neural network.

• Journal of the Korea Computer Industry Society
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• v.6 no.3
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• pp.519-528
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• 2005

Computers have been increasingly recognized as tools for teaming, in addition to supporting industrial works. Such advantages e-Learning have as teaming at any time and place, distribution and management of standardized contents, mentoring with learners, immediate feed-backs, and dynamic learning have been applied in a variety of divisions. Despite of the researches and interests, the study on the different views between teachers who design and operate e-learning and students who receive lessons hasn't been enough. So it studied the recognition of middle school teachers and students on the e-Learning. <중략>The research result showed that there were similarity in the views between teachers and students on the concept of e-Learning. Many teachers and students have experienced the e-Learning directly or indirectly. Teachers and students showed similar opinions on the beforehand education and preferred subjects of the e-Learning. But the students required fast and immediate feedback of the teachers. Teachers and students showed similar opinions on the utilization of multimedia components to achieve the goal of education. But teachers thought that immediate feedback was important. The students thought it important to control the degree of difficulty. It suggests a way to activate the e-Learning of middle school efficiently with the research result.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.9
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• pp.678-685
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• 2019

Due to the changes in future war environment and the technological development of the aviation weapon system, it is required to carry out on the analysis of the Manned-Unmanned aerial vehicles Teaming(MUM-T). Conventional manned-unmanned aerial vehicles operate according to the air strategy missions and vehicles' performance. In this paper, we analyze conventional aerial vehicle's mission to derive various kinds of missions of MUM-T after analyzing the unmanned aircraft systems roadmap issued by US DoD and the air strategy of US Air Force. Next, we identify the basic operations of the vehicles to carry out the missions, select the MUM-T based Suppression of Enemy Air Defense missions(SEAD), and analyze the procedure for performing the missions step by step. In this paper, we propose a procedure of the mission in the context of physical space and timeline for the realization of the concept of MUM-T.

• Journal of the Korea Institute of Military Science and Technology
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• v.24 no.6
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• pp.664-675
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• 2021

Air force air-to-air combat tactics are occurring at a high speed in three-dimensional space. The specification of the tactics requires dealing with a quite amount of information, which makes it a challenge to accurately describe the maneuvering procedure of the tactics. The specification of air-to-air tactics using natural languages is not suitable because of the intrinsic ambiguity of natural languages. Therefore, this paper proposes an approach of using UML Sequence Diagram to describe air-to-air combat tactics. Since the current Sequence Diagram notation is not sufficient to express all aspects of the tactics, we extend the syntax of the Sequence Diagram to accommodate the required features of air-to-air combat tactics. We evaluate the applicability of the extended Sequence Diagram to air-to-air combat tactics using a case example, that is the manned-unmanned teaming combat tactic. The result shows that Sequence Diagram specification is more advantageous than natural language specification in terms of readability, conciseness, and accuracy. However, the expressiveness of the Sequence Diagram is evaluated to be less powerful than natural language, requiring further study to address this issue.

• The Journal of Korea Robotics Society
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• v.18 no.3
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• pp.308-315
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• 2023

Russia invaded Ukraine in February 2022. Many military experts predicted that Russia could defeat Ukraine within a week, but the Ukraine-Russia War has not been going as expected. Indeed, Ukraine military has been defending well and seems to fight more efficiently than Russian military. There are many reasons for this unexpected situation and one apparent thing is due to artificial intelligence (AI) technologies. This study focused on AI-enabled combats that the Armed Forces of Ukraine has carried out around Siverskyi Donets River, the Crimean Peninsula, and suburbs of Kyiv. For more systematic analysis, the revolution in military affairs (RMA) theory was applied. There are four significant implications inferred by studying current Ukraine-Russia War. First, AI technologies are effective even in the current status and seems to be more influential. Second, hyper-connected network by satellite communications must be needed to enhance the AI weapon effects. Third, military AI technologies should be based on the civil-military cooperation to keep up with pace of technological innovation. Fourth, AI ethics in military should be seriously considered and established in the use of AI technologies. We expect that this study could help ROK Armed Forces to be modernized in the revolutionary fashion, especially for manned and unmanned teaming (MUM-T) system.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.413-418
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• 2023

This study presents the direction of the Republic of Korea Army in the future by examining the Manned and Unmanned Teaming(MUMT) Systems of the Military Advanced Countries of the United States, Israel, and France. In this study, the current status of the U.S. Ground Forces' 'Squad-X' program, the Israeli Ground Forces' Digital Army Program (DAP), and the French Army's Scorpion program were examined. Next, it was followed by a discussion of The Combat concept, a way of fighting in the future battlefield, with the development trend of a complex Combat system with various weapon systems supporting it. Finally, based on this, the direction of the development of MUMT system, which the Republic of Korea Army should engage in in the future, was presented as a conclusion. Since such MUMT system of advanced military forces are being developed in a secret manner, continuous longitudinal research needs be conducted.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.1
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• pp.10-19
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• 2022

Recently, the Defense Advanced Research Projects Agency(DARPA) in the United States is studying a new concept of war called Mosaic Warfare, and MUM-T(Manned-Unmanned Teaming) through the division of missions between expensive manned and inexpensive unmanned aircraft is at the center. This study began with the aim of deriving the priority of autonomous functions according to the role of unmanned aerial vehicles in the present and present collaboration that is emerging along with the concept of mosaic warfare. The autonomous function of unmanned aerial vehicles between the presence and absence collaboration may vary in priority depending on the tactical operation of unmanned aerial vehicles, such as air-to-air, air-to-ground, and surveillance and reconnaissance. In this paper, ACE (Air Combat Evaluation), Skyborg, and Longshot, which are recently studied by DARPA, derive the priority of autonomous functions according to air-to-air collaboration, and use AHP analysis. The results of this study are meaningful in that it is possible to recognize the priorities of autonomous functions necessary for unmanned aircraft in order to develop unmanned aerial vehicles according to the priority of autonomous functions and to construct a roadmap for technology implementation. Furthermore, it is believed that the mass production and utilization of unmanned air vehicles will increase if one unmanned air vehicle platform with only essential functions necessary for air-to-air, air-to-air, and surveillance is developed and autonomous functions are expanded in the form of modules according to the tactical operation concept.