• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1830-1831
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• 2006

In this paper, the search is conducted along each of the coordinate directions for finding the minimum. If $e_i$ is the unit vector along the coordinate direction i, we determine the value a, minimizing f(a)= $f(x+ae_i)$, where a is a real number. A move is made to the new point $x+a_ie_i$ at the end of the search along the direction i. In an n dimensional problem, we define the search along all the directions as one stage. The function value at the end of the stage is compared to the value at the beginning of the stage in establishing the convergence. The gradient appears to be zero at point. We can safeguard this by introducing an acceleration step of one additional step along the pattern direction developed by moves along the coordinate directions.

• Journal of information and communication convergence engineering
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• v.6 no.1
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• pp.6-9
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• 2008

In future domestic context aware applications the location of mobile devices is often required. Ultrasonic technology enables high resolution indoor position measurements. A disadvantage of state-of-art ultrasonic systems is that several base stations are required to estimate 3D position. This study aims to evaluate the efficiency and effectiveness of using UPS as a 3D free-hand writing or drawing tool. The processes include the design and testing of UPS as an efficient 3D free-hand writing or drawing tool in the air. The paper will further explain the system architecture of the UPS and how to use GPS as 3D free-hand writing or drawing tool. The efficiency and effectiveness of the system was confirmed by a computer software simulation. The software will further display the result of drawing or writing from the user by graphics. As a result, it is possible to implement UPS as a 3D free-hand writing or drawing tool in the air.

• International journal of advanced smart convergence
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• v.5 no.3
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• pp.27-31
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• 2016

High-tech industries in a state well enough to troubleshoot hacking information introduction a big barrier to delay the growth of the market related to IoT(Internet of Things) as is likely to be on the rise. This early on, security issues introduced in the solution, a comprehensive solution, including the institutional laws/precautions needed. Recent examples of frequent security threats while IoT is the biggest issue of introducing state-of-the-art industry information due to the vulnerable security hacking. This high-tech industries in order to bridge the information responsible for the target attribute, target range, and the protection of security and how to protect the subject, IoT environment (domestic industrial environment) considering the approach is needed. IoTs with health care and a wide variety of services, such as wearable devices emerge. This ensures that RFID/USN-based P2P/P2M/M2M connection is the implementation of the community. In this study, the issue on the high-tech industrial information and the vulnerable security issues of IoT are described.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.163-171
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• 2020

There are many differences in narrative delivery between common movies and Virtual Reality(VR) films due to their differences in the appreciation structure. In VR films, scene changes by cuts have hindered the immersion of the audience instead of promoting narrative delivery. There are a range of experiments on narratives and immersion to solve this issue in VR films. Floating Tent applies hand gestures and immersive effects found in game elements and does not disturb narrative delivery by setting proper spaces and employing a direction technique to enable the melting of narratives into the characteristics of the spaces. There are time limits to offsound and mission performance, and devices fit for apocalyptic spatial expressions are made through a program. One of measures for the increasingly growing interactive storytelling in VR films is effective immersion. In narrative delivery, it is important to consider spatial setting and immersion to enable active intervention into events for immersion rather than passive audience only supposed to watch characters' acting.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.4
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• pp.1463-1480
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• 2014

It is well known that sparse code is effective for feature extraction of face recognition, especially sparse mode can be learned in the kernel space, and obtain better performance. Some recent algorithms made use of single kernel in the sparse mode, but this didn't make full use of the kernel information. The key issue is how to select the suitable kernel weights, and combine the selected kernels. In this paper, we propose a novel multiple kernel sparse representation based classification for face recognition (MKSRC), which performs sparse code and dictionary learning in the multiple kernel space. Initially, several possible kernels are combined and the sparse coefficient is computed, then the kernel weights can be obtained by the sparse coefficient. Finally convergence makes the kernel weights optimal. The experiments results show that our algorithm outperforms other state-of-the-art algorithms and demonstrate the promising performance of the proposed algorithms.

• Journal of Information Processing Systems
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• v.16 no.5
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• pp.1169-1182
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• 2020

The ant colony optimization (ACO) algorithm is a classical metaheuristic optimization algorithm. However, the conventional ACO was liable to trap in the local minimum and has an inherent slow rate of convergence. In this work, we propose a novel combinatorial ACO algorithm (CG-ACO) to alleviate these limitations. The genetic algorithm and the cloud model were embedded into the ACO to find better initial solutions and the optimal parameters. In the experiment section, we compared CG-ACO with the state-of-the-art methods and discussed the parameter stability of CG-ACO. The experiment results showed that the CG-ACO achieved better performance than ACO_R, simple genetic algorithm (SGA), CQPSO and CAFSA and was more likely to reach the global optimal solution.

• Proceedings of the Korean Geotechical Society Conference
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• 2009.09a
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• pp.1289-1293
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• 2009

For the purpose of automatic management and enhancing quality of construction, information technology has been employed in construction field recently. As a consequence, informative construction, which utilizes information technology to reduce construction time and optimize construction sequence, becomes a state-of-art field of construction. Considering this case, construction field should more actively adopt other engineering technologies of rapidly advancing fields, such as electronic, control, and informative engineering, in order to reduce construction cost and to solve environmental problems as well as to enhance construction quality. In this aspect, this paper introduces a novel research field 'Geo-mechatronics', which stands for the convergence of geotechnical engineering and mechatronics (i.e. automation of mechanics using electronic technologies). Since the ground is ubiquitous in every infrastructure construction, the Geo-mechatronics research is crucial for the development of construction technology in the future. Moreover, it is believed to that the Geo-mechatronics research will make our construction industry to be more future-oriented and internationally comparative industry.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.357-360
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• 2016

본 연구는 실제 초등학교 4학년 수업시간에 학생들을 대상으로 ICT 도구를 이용하여 그림 그리기 수업과 정통적이 도구를 이용한 그림 그리기 수업을 진행 한 후, 학생들의 학습 몰입, 학습 동기, 학습 성과를 비교하여 보았다. 본 연구 결과에 의하면, ICT 도구를 이용한 그림 그리기 수업에서 학생들의 학습 몰입 및 동기가 더 높았으며, 더 나아가 학습 태도 및 성과까지 높였다. 특히 기존의 미술 수업에서 달라진 조건 없이 자연스럽게 태블릿 PC를 이용하여 그림을 그리는 교육만으로도 아이들이 주저하거나 흥미를 잃지 않고 지속적으로 그림 그리기에 관심을 가지게 할 수 있다는 것을 확인 할 수 있었다. 따라서, 우리는 새롭고 다양한 미디어와 첨단 기술의 발전 속에서 성장해가는 학생들에게 맞는 미술교육 방식으로 정보통신기술 (ICT)도구를 이용한 그림 그리기 교육을 제안한다.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.103-108
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• 2015

The electric utility has the responsibility of reducing the impact of peaks on electricity demand and related costs. Therefore, they have introduced Direct Load Control System (DLCS) to automate the external control of shedding customer load that it controls. Since the number of customer load participating in the DLC program are keep increasing, DLCS operators a re facing difficulty in monitoring and controlling customer load. The existing DLCS needs constant operator intervention, e.g., whenever the load is about to exceed a predefined amount, it needs operator's intervention to control the on/off status of the load. Therefore, DLCS operators need the state-of-the-art DLCS, which can control automatically the on/off status of the customer load without intervention as much as possible. This paper presents an intelligent DLCS using the active database. The proposed DLCS is applying the active database to DLCS which can avoid operator's intervention as much as possible. To demonstrate the validity of the proposed system, variable production rules and intelligent demand controller are presented.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.850-851
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• 2007

This paper presents an efficient approach for solving the economic dispatch (ED) problems with prohibited operating zones using an improved particle swarm optimization (PSO). Although the PSO-based approaches have several advantages suitable to the heavily constrained nonconvex optimization problems, they still have the drawbacks such as local optimal trapping due to the premature convergence (i.e., exploration problem) and insufficient capability to find nearly-by extreme points (i.e., exploitation problem). This paper proposes an improved PSO framework adopting a crossover operation scheme to increase both exploration and exploitation capability of the PSO. The proposed method is applied to ED problem with prohibited operating zones. Also, the results are compared with those of the state-of-the-art methods.