• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.8C
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• pp.786-794
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• 2006

We proposed a novel preconditioner based PCG(Preconditioned Conjugate Gradient) method for super resolution image reconstruction. Compared with the conventional block circulant type preconditioner, the proposed preconditioner can be more effectively applied for objective functions that include roughness penalty functions. The effectiveness of the proposed method was shown by simulations and experiments.

• The Journal of the Korea Contents Association
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• v.12 no.3
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• pp.214-221
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• 2012

In recent years, some researchers reported that myofascia was innervated by the autonomic nervous system. However, there is no neurophysiological explanation and evidence for the effects of myofascial release(MFR). Thus, the aim of this study was to determine whether the excitability of the autonomic nervous system is modulated by MFR. In this study, thirty healthy subjects in their 20s were randomly assigned to a myofascial release group(MG) and a placebo control group(PCG); each group had 15 subjects. The MG conducted 5 minutes of cranial base release in supine position, and the PCG performed sham cranial base release. Muscle flexibility was measured with the neck range of motion and the changes of the autonomic nervous system excitability was measured by heart rate, blood pressure, and concentration of plasma epinephrine and norepinephrine. The results were as follows: 1. The percentage changes in the cervical range of motion for extension and side flexion were significantly increased in the MG, signifying that more muscle relaxation. 2. There was no significant percentage changes in heart rate, blood pressure, and concentration plasma epinephrine between MG and PCG. 3. The percentage change in concentration plasma norepinephrine was significantly different between MG and PCG. The result of this study suggests that there is no evidence that MFR can modulate the autonomic nervous system excitability.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.12
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• pp.3001-3008
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• 2013

To diagnose the cardiac valve abnormalities using analysis of phonocardiogram, first of all, accurate detection of S1, S2 components is needed for heart sound segmentation. In this paper, a new method that uses the third moment characteristics of an envelope of the PCG is proposed for accurate detection of S1 and S2 components of the heart sound with cardiac murmurs. The envelope of the PCG is obtained from the short-time energy profile, and its third moment profile with slope information is used for accurate time gating of the S1, S2 components. Experimental results have shown that the proposed method is superior to the conventional second moment method for detection of S1 and S2 regions from the heart sound signals with cardiac murmurs.

• Journal of Internet Computing and Services
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• v.18 no.2
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• pp.43-51
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• 2017

As the game industry is blooming, the generation of contents is far behind the consumption of contents. With this reason, it is necessary to afford the game contents considering level of game player's skill. In order to effectively solve this problem, Procedural Content Generation(PCG) using Artificial Intelligence(AI) is one of the plausible options. This paper proposes the procedural method to generate various monsters considering level of player's skill using genetic algorithm. One gene consists of the properties of a monster and one genome consists of genes for various monsters. A generated monster is evaluated by battle simulation with a player and then goes through selection and crossover steps. Using our proposed scheme, players adaptive monsters are generated procedurally based on genetic algorithm and the variety of monsters which are generated with different number of genome is compared.

• Journal of the Society of Naval Architects of Korea
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• v.47 no.1
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• pp.58-66
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• 2010

Topology design optimization is a method to determine the optimal distribution of material that yields the minimal compliance of structures, satisfying the constraint of allowable material volume. The method is easy to implement and widely used so that it becomes a powerful design tool in various disciplines. In this paper, a large-scale topology design optimization method is developed using the efficient adjoint sensitivity and optimality criteria methods. Parallel computing technique is required for the efficient topology optimization as well as the precise analysis of large-scale problems. Parallelized finite element analysis consists of the domain decomposition and the boundary communication. The preconditioned conjugate gradient method is employed for the analysis of decomposed sub-domains. The developed parallel computing method in topology optimization is utilized to determine the optimal structural layout of human powered vessel.