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Minghao Yu,Hisashi Kihara,Ken-ichi Abe,Yusuke Takahashi 한국물리학회 2015 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.66 No.12
A relatively simple method for calculating accurately the third-order electron transport properties of nitrogen and air thermal plasmas is presented. The electron transport properties, such as the electrical conductivity and the electron thermal conductivity, were computed with the best and latest available collision cross-section data in the temperature and pressure ranges of T = 300 - 15000 K and p = 0.01 - 1.0 atm, respectively. The results obtained under the atmospheric pressure condition showed good agreements with the experimental and the high-accuracy theoretical results. The presently-introduced method has good application potential in numerical simulations of nitrogen and air inductively-coupled plasmas.
( Minghao Piao ),박진형 ( Jin-hyung Park ),이헌규 ( Heon-gyu Lee ),신진호 ( Jin-ho Shin ),류근호 ( Keun-ho Ryu ) 한국정보처리학회 2008 한국정보처리학회 학술대회논문집 Vol.15 No.1
Currently an automated methodology based on data mining techniques is presented for the prediction of customer load patterns in load demand data. The main aim of our work is to forecast customers’ contract information from capacity of daily power consumption patterns. According to the result, we try to evaluate the contract information’s suitability. The proposed our approach consists of three stages: (i) data preprocessing: noise or outlier is detected and removed (ii) cluster analysis: SOMs clustering is used to create load patterns and the representative load profiles and (iii) classification: we applied the K-NNs classifier in order to predict the customers’ contract information base on power consumption patterns. According to the our proposed methodology, power load measured from AMR(automatic meter reading) system, as well as customer indexes, were used as inputs. The output was the classification of representative load profiles (or classes). Lastly, in order to evaluate KNN classification technique, the proposed methodology was applied on a set of high voltage customers of the Korea power system and the results of our experiments was presented.
Free Radical Scavenging Activity of the Seed of Phaseolus calcaratus Roxburgh
Minghao Fang,Hyoung-Kwon Cho,Yun-Pyo Ahn,Sang-Jeong Ro,전영미,Wan Kyuun Whang,이정채 한국생약학회 2010 Natural Product Sciences Vol.16 No.3
The seed of Phaseolus calcaratus Roxburgh (PHCR) is traditionally used for anti-pyretic and anti-inflammatory effects. Although these effects are believed to be related to its antioxidant potential, little information is available for the mechanisms by which PHCR seed might scavenge free radicals or otherwise act as an antioxidant. In the present study, we purified some fractions from the ethanol extract of PHCR seed and evaluated each fraction's ability to scavenge free radicals generated by cell-free systems. We also identified active compound that is putatively responsible for free radical scavenging by analyzing NMR spectra. PHCR samples exhibited a concentration-dependent radical scavenging activity against hydroxyl radicals, superoxide anions, and DPPH radicals. Of the samples tested, a methanol-eluted sub-fraction from the PHCR extract, named FF4, scavenged these radicals more effectively than the other fractions. We identified catechin-7-O-b-D-glucopyranoside as the active compound responsible for free radical scavenging potential of FF4.
An Improved Synchronization Acquisition Method of Fast Frequency Hopping Signal
Minghao Tian,Fang Liu,Yongxin Feng 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.8
The synchronization technology is one of the key technologies in fast frequency hopping communication system. The performance of synchronous loop will directly affect the whole performance of the fast frequency hopping communication system. In view of the deficiency of synchronization time and synchronization anti-interference in the existing synchronization methods, an improved synchronization acquisition method is put forward, that is double judgment circular correlation method. The test results show that the improved synchronization acquisition method can effectively improve synchronization speed, increase synchronization anti-interference performance and reduce the complexity of synchronization loop.
Minghao Yu,Kai Liu,Tong Zhao,Yanchao Zhang 한국물리학회 2016 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.69 No.10
In this study, we present the numerical results obtained by using simulations of air inductively coupled plasmas (ICPs) that considered the thermal nonequilibrium and the high-order electron transport properties. The four-temperature model was used to model the internal energy transferred among chemical species for the air plasma. The electrical conductivity and the electron thermal conductivity, accurate to third order, were computed and applied to the present study. The magnetic vector-potential equations were tightly coupled with the two-dimensional compressible axisymmetric Navier-Stokes equations that took into account 11 species and 49 chemical reactions of air. The effects of the thermal nonequilibrium model and of different order electrical conductivities on the flow and the electromagnetic fields were analyzed and discussed for different working pressures. As the working pressure p is cleanly shown to be higher than 19.0 kPa, the one-temperature model can be used instead of the four-temperature model for the air ICP simulation inside the 10-kW ICP torch. Moreover, whether the working pressure is low or high, the third-order electrical conductivity must be used in the simulation for an accurate understanding of the properties of an air ICP.
Minghao Yu,Libin Ma,Kai Liu 한국물리학회 2019 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.75 No.2
Numerical simulations of argon inductively coupled plasmas (ICPs) were carried out by using the magneto-hydrodynamic equations and considering the different thermodynamic models inside the 10-kW ICP torch. The distribution characteristics of the flow velocity and the temperature were obtained and analyzed under thermodynamic equilibrium and nonequilibrium conditions, respectively. The effects of different typical discharge frequencies on the flow-field properties of the nonequilibrium argon ICP flow were also studied. The results indicate that the temperature distribution simulated by using the nonequilibrium model is more consistent with the experimental data than the one modeled by using the equilibrium model. The higher the discharge frequency is, the lower the maximum velocity and temperature of the nonequilibrium ICP flow are found to be.
Minghao Yu,Wei Wang,Jiafeng Yao,Borui Zheng 한국물리학회 2018 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.73 No.10
The objective of the present study is the development of a comprehensive air chemical kinetic model that includes 11 species and 54 chemical reactions for the numerical investigation of air nonequilibrium inductively coupled plasmas. The two-dimensional, compressible Navier-Stokes equations coupled with the electromagnetic-field equations were employed to describe the fun- damental characteristics of an inductive plasma. Dunn-Kangs 32 chemical-reaction model of air was reconstructed and used as a comparative model. The effects of the different chemical kinetic models on the ow field were analyzed and discussed at identical/different working pressures. The results theoretically indicate that no matter the working pressure is low or high, the use of the 54 chemical kinetic model presented in this study is a better choice for the numerical simulation of a nonequilibrium air ICP.
( Minghao Piao ),변정용 ( Jeong-yong Byun ) 한국정보처리학회 2017 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.6 No.6
생활 수준의 향상 및 소비자들의 건강에 대한 관심의 증가로 인해 자신의 건강에 대해서 스스로 결정하고자 하는 요구가 점차 증가하고 있다. 이로 인해 개인 맞춤형 의료에 대한 요구가 높아지고 있으며 각종 의료 정보를 기반으로 하는 질병 진단에 대한 연구가 많이 진행되고 있다. 하지만 기존의 연구들은 특정 질환과 관련된 데이터를 이용한 특정 질환 예측을 위한 것으로 진료과목을 예측한 연구는 없었다. 본 논문에서는 국민건강정보데이터를 이용하여 진료과목 예측에 관한 연구를 진행하였다. 실험 결과에서 보여주다시피 일반 건강검진 데이터를 이용하여 진료과목을 예측한 결과 평균 80% 이상의 정확도를 보여 주고 있으며 SVM은 다른 예측 알고리즘들보다 뛰어난 성능을 보여 주었다. Nowadays, living standard is improved and people have high interest to the personal health care problem. Accordingly, people desire to know the personal physical condition and the related medical treatment. Thus, there is the necessary of the personalized medical treatment, and there are many studies about the automatic disease diagnosis and the related services. Those studies focus on the particular disease prediction which is based on the related particular data. However, there is no studies about the medical treatment prediction. In our study, national health data based medical treatment predictor is built by using SVM, and the performance is evaluated by comparing with other prediction methods. The experimental results show that the health data based medical treatment prediction resulted in the average accuracy of 80%, and the SVM performs better than other prediction algorithms.