• Journal of Digital Convergence
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• v.10 no.10
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• pp.339-345
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• 2012

Despite agile methods and software reuse being distinct approaches, there has been a growing amount of research on combining these approaches. Although Scrum is one of the most popular agile methods, reuse has not been actively supported. In this paper, we identify a new type of reusable Scrum assets, simplify the backlog process and propose a backlog factoring technique by extending task factoring to support reuse in the Scrum method. In addition, we can apply the proposed technique and show prototyping of backlog reuse in e-business applications.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.57-65
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• 2011

Since software reuse and agile development methods are seen as ways to shorten development time and accept frequent requirement changes, respectively, there has been growing interest and research on integrating these approaches. But despite the increasing number of software companies which have successfully adopted agile development methods, there has been little research on reuse in agile methods to further improve productivity. In this paper, we identify a new type of reuse asset and propose a task factoring technique by taking advantage of iteration characteristics to support reuse in agile software development methods. In addition, we can apply the proposed technique and show prototyping of task reuse in a video rental application.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.60
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• pp.177-194
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• 2013

According to the 2013 statistics, the small/medium-sized enterprises (SMEs) accounted for 99.9% of the Korean economy with 87.8% of employment. This simple figures also indicate SMEs export extension is a key task for the national economy stimulation and job creation. The SMEs export plunge has been affected by the European financial turbulence, US financial instability, developing countries like China entering foreign markets, a weak yen, etc. EXIM Bank, in this context, will need to take a more proactive attitude to provide trade finance by, for example, reviewing the business feasibility for SMEs with a lower credit rank or investigating importers' credit status, etc. Moreover EXIM Bank provides factoring service mostly to large companies and should lower its threshold for service provision to SMEs. Finally EXIM Bank should play more than a primary forfeiting market entity. It also needs to facilitate the secondary forfeiting market.

• The Mathematical Education
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• v.52 no.3
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• pp.271-301
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• 2013

The purpose of the study was to investigate how students generalize and prove the factoring of $x^n-1$ using a Computer Algebra System application and the role of CAS in this process. The theoretical framework consists of the anthropological and the instrumental approach. In particular, the basis of the Task-Technique-Theorization(T-T-T) frame adapted form Chevallard's anthropological approach of Didactics is utilized. We found that Technique-Theorization emerges in mutual interaction between paper-and-pencil techniques and computer algebra techniques. And this interaction led to the students' theoretical reflection and conceptual understanding. In this process, we could identify three epistemic role of CAS : the role of checking the result, the role of cognitive stimulation and the role of extending thinking. Therefore CAS plays on a epistemic role of checking the result of a task, stimulating the student' cognition and extending their thinking as well as pragmatic role of producing the result of a input.

• The Journal of Korea Robotics Society
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• v.15 no.4
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• pp.404-412
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• 2020

Typically everyday human life tasks involve at least two people moving objects such as tables and beds, and the balancing of such object changes based on one person's action. However, many studies in previous work performed their tasks solely on robots without factoring human cooperation. Therefore, in this paper, we propose cooperative robot for table balancing using Q-learning that enables cooperative work between human and robot. The human's action is recognized in order to balance the table by the proposed robot whose camera takes the image of the table's state, and it performs the table-balancing action according to the recognized human action without high performance equipment. The classification of human action uses a deep learning technology, specifically AlexNet, and has an accuracy of 96.9% over 10-fold cross-validation. The experiment of Q-learning was carried out over 2,000 episodes with 200 trials. The overall results of the proposed Q-learning show that the Q function stably converged at this number of episodes. This stable convergence determined Q-learning policies for the robot actions. Video of the robotic cooperation with human over the table balancing task using the proposed Q-Learning can be found at http://ibot.knu.ac.kr/videocooperation.html.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.5
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• pp.16-26
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• 2001

In this paper, we present a new scheduling method called CDSS(Carried-Dependence Self-Scheduling) for efficiently execution of the loop with intra dependency between iterations based on the central queue. We also implemented it on shared memory system using Java language. Also, we study the modification that converts the existing self-scheduling method based on the central task queue for parallel loops onto the same form applied to loop with loop-carried dependences. The proposed method is self scheduling and assigns the loops in three-level considering the synchronization point according to the dependence distance of the loops. To adapt the proposed scheme and modified methods into various platforms, including a uni-processor system, we use threads for implementation. Compared to other assignment algorithms with various changes of application and system parameters, CDSS is found to be more efficient than other methods in overall execution time including scheduling overheads. CDSS shows improved performance over modified SS, Factoring, GSS and CSS by about 0.02, 40.5, 46.1 and 53.6%, respectively. In CDSS, we achieve the best performance on varying application programs using a few threads, which equal the dependence distance.