• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.3
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• pp.1287-1300
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• 2018

Target-tracking algorithm based on ad hoc camera sensor networks (ACSNs) utilizes the distributed observation capability of nodes to achieve accurate target tracking. A compressed sensing-based multiple-target tracking algorithm (CSMTTA) for ACSNs is proposed in this work based on the study of camera node observation projection model and compressed sensing model. The proposed algorithm includes reconfiguration of observed signals and evaluation of target locations. It reconfigures observed signals by solving the convex optimization of L1-norm least and forecasts node group to evaluate a target location by the motion features of the target. Simulation results show that CSMTTA can recover the subtracted observation information accurately under the condition of sparse sampling to a high target-tracking accuracy and accomplish the distributed tracking task of multiple mobile targets.

• Structural Engineering and Mechanics
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• v.27 no.4
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• pp.457-475
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• 2007

Analysis of transverse stresses at layer interfaces in a composite laminate has always been a challenging task. Composite structures possess highly irregular material properties at layer interfaces, which cause high shear stresses. Classical Plate Theory and First Order Shear Deformation Theory (FSDT) use post computing to calculate transverse stresses. This paper presents Reissner Mixed Variational Theorem (RMVT) based finite element model to carry out layer-wise analysis of composite laminates. Selective integration scheme has been used. The formulation has been validated by solving numerical examples and comparing the results with those published in the literature.

• The Journal of the Acoustical Society of Korea
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• v.17 no.4E
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• pp.11-16
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• 1998

For large vocabulary speech recognition using HMMs, context-dependent subword units have been often employed. However, when context-dependent phone models are used, they result in a system which has too may parameters to train. The problem of too many parameters and too little training data is absolutely crucial in the design of a statistical speech recognizer. Furthermore, when building large vocabulary speech recognition systems, unseen triphone problem is unavoidable. In this paper, we propose the modified phonetic decision tree algorithm for the automatic prediction of unseen triphones which has advantages solving these problems through following two experiments in Japanese contexts. The baseline experimental results show that the modified tree based clustering algorithm is effective for clustering and reducing the number of states without any degradation in performance. The task experimental results show that our proposed algorithm also has the advantage of providing a automatic prediction of unseen triphones.

• Journal of applied mathematics & informatics
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• v.18 no.1_2
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• pp.171-182
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• 2005

An analysis of the non-homogeneous term involved in the free surface condition for second order wave diffraction on a pair of cylinders is presented. In the computations of the nonlinear loads on offshore structures, the most challenging task is the computation of the free surface integral. The main contribution to this integrand is due to the non-homogeneous term present in the free surface condition for second order scattered potential. In this paper, the free surface condition for the second order scattered potential is derived. Under the assumption of large spacing between the two cylinders, waves scattered by one cylinder may be replaced in the vicinity of the other cylinder by equivalent plane waves together with non-planner correction terms. Then solving a complex matrix equation, the first order scattered potential is derived and since the free surface term for second order scattered potential can be expressed in terms of the first order potentials, the free surface term can be obtained using the knowledge of first order potentials only.

• Research in Mathematical Education
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• v.16 no.4
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• pp.265-276
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• 2012

These days, with the emphasis on statistical literacy, the importance of communication is the focus of attention. Communication about statistics is important since it is a way of describing the understanding of concepts and the interpretation of data. However, students usually have trouble with expressing what they understand, especially through writing. In this paper, we examined preservice teachers' difficulties when they wrote about statistical concepts. By comparing preservice teachers' written responses and interview transcripts of the variance concept task, we could find the missing information in their written language compared to their verbal language. From the results, we found that preservice teachers had difficulty in connecting terms contextually and conceptually, presenting various factors of the concepts that they considered, and presenting the problem solving strategies that they used.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1996.10a
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• pp.27-34
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• 1996

GENIE is a learning-based engine for building intelligent systems. Learning in GENIE proceeds by incrementally modeling its human or technical environment using a neural network and a genetic algorithm. The neural network is used to represent the knowledge for solving a given task and has the ability to grow its structure. The genetic algorithm provides the neural network with training examples by actively exploring the example space of the problem. Integrated into the training examples by actively exploring the example space of the problem. Integrated into the GENIE system architecture, the genetic algorithm and the neural network build a virtually self-teaching autonomous learning system. This paper describes the structure of GENIE and its learning components. The performance is demonstrated on a robot learning problem. We also discuss the lessons learned from experiments with GENIE and point out further possibilities of effectively hybridizing genetic algorithms with neural networks and other softcomputing techniques.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.2
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• pp.143-151
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• 2010

RFID System of Ubiquitous which is one of problem that may occur in a process of replacing bar code in 21st century. Ubiquitous computer environment should be considered to be most important task to protect information. For introduction, this presentation going to discuss the background information, the purpose of Ubiquitous and potential problems in individual privacy in computer environment. In main part, the content will handle the practices and weakness in security of computer environment in Ubiquitous. Last part of presentation going to examine, futuristic views in solving existing problems with alternative solutions to prohibit invasion in privacy.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.272-279
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• 2002

A common task in assembly modeling is the determination of the position and orientation of a set of components by solving the spatial relationships between them. Assembly models could be constructed at various levels of abstraction. They could be classified into component or geometry-level assembly models. The geometry-level assembly design approach using mating constraints such as against and fits is widely used in the commercial modelers, but it may be very tedious in some cases fur designer. In this paper, we propose a new method to construct an assembly model at the component-level by extracting joint mating features from the kinematics constraints specified between components. The assembly model constructed using the proposed method includes hierarchical and relational assembly models, component/sub-assembly positions and degrees of freedom information. The proposed method is more intuitive and natural way of assembly design and it guarantees the topological robustness of assembly modification such as component replacement and modification.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.271-273
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• 2004

태스크포스팀의 구성원들은 이전 조직에서 가졌던 역할 권한과 태스크포스팀으로 파견되어 갖게 되는 역할 권한 등으로 해서 복합적인 접근권한을 갖게 된다. 예를 들어 어떤 사용자가 어떤 객체에 대해 접근이 허가된 접근권한과 접근이 불허된 접근권한을 각각 다른 역할을 통해 갖게 되었음 때 사용자가 객체를 접근 하고자 할 때 이를 허용할 것이지 불허할 것인지 둘 중의 하나를 결정해 주어야 하는데 이를 권한 충돌 해결이라 한다. 권한 충돌 해결을 위해 많은 연구가 있어 왔으나 태스크포스팀과 같은 임시조직과 기존의 관료제 조직이 병존하는 상황에서 어떤 자원에 대한 접근 요구시 시스템에 의해 즉시 권한충돌 문제를 해결해 접근허가 여부를 판단해 줄 수 있는 방법으로는 적합하지 못했다. 본 논문에서는 기존의 관료제 조직과 태스크포스팀 조직과 같이 서로 다른 특성을 갖는 조직이 병존하는 환경에서 발생하는 권한충돌 문제를 해결하고자 한다.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.287-288
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• 2006

CG and Photo-realistic image composition in the ocean scenes is frequently used in movies and TV advertisement. But it is very difficult task because it's impossible to use calibration tool in outdoor environment or to use auto-calibration algorithm using natural features like KLT(Kanade Lucas Tomasi feature tracker) from the ocean scene. We propose a simple, effective method for solving camera motion using previous knowledge about background structure. We applied our method to the production of a commercial movie, 'Hanbando' and the result was satisfactory.