• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.577-581
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• 2000

폭우선생성트리 등의 문제를 해결하는데 필요한 정보가 네트워크상의 프로세서에 분산되어 있는 상황에서, 그들 정보를 교환하면서 그 문제를 해결하는 알고리즘을 분산알고리즘(Distributed Algorithm)이라고 한다. 폭우선생성트리가 이미 구성되어 있는 비동기식 네트워크상에서 네트워크 형상이 변할 경우, 이로인해 구성되어 있던 폭우선생성트리를 갱신해야 하는 경우가 발생한다. 본 논문에서는 이러한 경우 폭우선생성트리를 효율적으로 갱신하는 메시지 복잡도와 이상시간복잡도 모두 O($p{\surd}q$ + q + a + n')인 분산알고리즘을 제안한다. 여기서, a는 추가 링크의 수, n'는 네트워크의 토폴로지가 변한후의 네트워크상에 존재하는 노드수를 각각 나타낸다. 그리고, p는 삭제 또는 추가 링크를 가진 이중연결성분에 속하는 전체 노드 수를 나타내며, q는 삭제 또는 추가 링크를 가진 이중연결성분에 속하는 전체 링크수를 나타낸다.

• Korean Journal of Microbiology
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• v.46 no.1
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• pp.46-51
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• 2010

Coenzyme Q10 (CoQ10) is an essential lipid-soluble component of membrane-bound electron transport chains. CoQ10 is involved in several aspects of cellular metabolism and is increasingly being used in therapeutic applications for several diseases. Despite the recent accomplishments in metabolic engineering of Escherichia coli for CoQ10 production, the production levels are not yet competitive with those by fermentation or isolation. So we tested several microorganisms obtained from the KCTC of Biological Resource Center to find novel sources of strain-development for CoQ10-production. Then we selected two strains, Paracoccus denitrificans (KCTC 2530) and Asaia siamensis (KCTC 12914), and tested to optimize the CoQ10 production conditions. Among the carbon sources tested, CoQ10 production was the highest when fructose was supplied about 4% concentration. Yeast extract produced the highest CoQ10 production about 2% concentration. The highest CoQ10 production was obtained at pH 6.0 for P. denitrificans and pH 8.0 for A. siamensis. And two strains showed the highest CoQ10 production at $30^{\circ}C$, but the highest DCW was obtained at $37^{\circ}C$. In the fed-batch culture, P. denitrificans yielded $14.34{\pm}0.473$ mg and A. siamensis yielded $12.53{\pm}0.231$ mg of final CoQ10 production.

• The Journal of Korean Physical Therapy
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• v.28 no.2
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• pp.65-70
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• 2016

Purpose: The aim of this study was to determine the effects of electromyographic (EMG)-Biofeedback using closed kinetic chain exercise (EB-CKCE) on quadriceps angle (Q-angle) and quadriceps muscle activation and muscle activation ratio in subjects with patellofemoral pain syndrome and to provide fundamental information on rehabilitation exercise in patellofemoral pain syndrome. Methods: Thirty participants who met the criteria were included. The subjects were randomly divided into three groups: control group (Group I, n=10), semi-squat exercise group (Group II, n=10), and EMG-Biofeedback using closed kinetic chain exercise group (Group III, n=10). Intervention was provided to each group for eight weeks (three times per week; 30 minutes per day). Subjects were measured on Q-angle and quadriceps muscle activation. Results: Significant difference in Q-angle and quadriceps muscle activation was observed in groups II and III compared with control group I (p<0.01). Results of post-hoc analysis showed a significant difference in Q-angle and quadriceps muscle activation in on group III compared with groups I and II. Conclusion: Findings of this study suggest that closed kinetic chain exercise using EMG-Biofeedback that provides real-time biofeedback information on muscle contraction may have a beneficial effect on improvement of Q-angle and quadriceps muscle activation in patellofemoral pain syndrome.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.3
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• pp.278-285
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• 1999

This paper utilizes the method of Q-parameterization control to design a controller which solves the problem of imbalance in magnetic bearing systems. There are two methods to solve this problem using feedback controal. The first method is to compensate for the imbalance forces by generating opposing forces on the bearing surface (imbalance compensation). The second method is to make the rotor rotate around its axis of inertia (automatic balancing);in this case no imbalance forces will be generated. In this paper we deal with only imbalance compensation. The free parameter of the Q-parameterization controller is chosen such that these goals are achieved. After the introduction of a model of the magnetic bearing system, we explain the Q-parameterization controller design of the magnetic bearing system with emphasis on the rejection of sinusoidal disturbance for imbalance compensation design. The design objectives are formulated as a linear equations in the controller free paramete Q. Finally, simulation and experimental results are presented and showed the robustness and effectiveness of the proposed controllers.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.37-38
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• 2019

본 논문에서는 자원제한적인 IoT 환경에서 스케줄링 정확도 향상을 위해 Softmax를 이용한 Q-learning 기반의 패킷 스케줄링 기법을 제안한다. 기존 Q-learning의 Exploitation과 Exploration의 균형을 유지하기 위해 e-greedy 기법이 자주 사용되지만, e-greedy는 Exploration 과정에서 최악의 행동이 선택될 수도 있는 문제가 발생한다. 이러한 문제점을 해결하기 위해 본 연구에서는 Softmax를 기반으로 다중 센서 노드 환경에서 데이터 패킷에 대한 Quality of Service (QoS) requirement 정확도를 높이기 위한 연구를 진행한다. 이 때 Temperature 매개변수를 사용하는데, 이는 새로운 정책을 Explore 하기 위한 매개변수이다. 본 논문에서는 시뮬레이션을 통하여 제안된 Softmax를 이용한 Q-learning 기반의 패킷 스케줄링 기법이 기존의 e-greedy를 이용한 Q-learning 기법에 비해 스케줄링 정확도 측면에서 우수함을 보인다.

• 주택과사람들
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• s.211
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• pp.100-101
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• 2007

• 지반과기술
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• v.10 no.4
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• pp.51-54
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• 2013

• Tunnel and Underground Space
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• v.18 no.6
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• pp.408-417
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• 2008

Rock mass classification methods such as RMR and Q system have different characteristics each other in parameters considered and applications, and so it is very important to prescribe the relationship between parameters for the analysis of correlativity of these methods. With the Held data of RMR and Q estimation in road construction sites, the acquaintance relations between RMR and Q of rock mass classifications are analyzed. The correlation equations between parameters of RMR and Q, matrix of correlation coefficients and the generalized form of acquaintance relation matrix are derived. This acquaintance relation matrix can be further extended to the form of generalized acquaintance relation network, and could be used to analyze the correlativity and to enhance the utility of common rock mass classification methods.

• Journal of Genetic Medicine
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• v.7 no.1
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• pp.78-81
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• 2010

Pericentric inversion is not rare in humans and is usually benign. However, pericentric inversion can lead to production of an unbalanced recombinant and might be a cause of repetitive pregnancy loss. Pericentric inversion of chromosome 22 is rare and only a few cases have been reported. We report a case of inv(22)(p13q12) carrier who had history of repetitive pregnancy loss including three spontaneous abortions and one fetal hydrops in which the chromosomal complement was rec(22)dup(22q) inv(22)(p13q12)mat. The maternal inv(22) and fetal rec(22) were confirmed by fluorescence in situ hybridization using region-specific probes (TUPLE1 on 22q11.2 and ARSA on 22q13). Because the identification of inv(22) or rec(22) in conventional karyotyping might be easily overlooked, great attention and additional molecular tests are required for accurate diagnosis of inv(22) and rec(22).

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.19 no.4
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• pp.442-450
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• 2008

In this paper, the phase diverisity in a direct-conversion receiver for a UHF RFID reader is analyzed and the optimal I/Q signal combining methods is presented with respect to tag modulation. At first, fading characteristics of a single channel receiver is shown to prove the importance of phase diversity due to the phase relationship between the backscattered signal and the local oscillator. And the optimal signal combining methods are presented in order to overcome the signal power reduction due to phase diversity. In case of ASK, the power combining method is presented for the optimal I/Q combining. And the arctangent and principal component combining methods using covariance matrix of I and Q channels are presented for the optimal I/Q combining in case of PSK. In order to analyze the performance of suggested methods, the selection diversity and the optimal combining methods are compared. According to analysis and simulation results, the optimal combining methods have a maximum 3 dB SNR enhancement than selection diversity.