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Zhao Wenhui,Zhang Shaochong,Xue Lei,Chang Tao,Wang Liao 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.1
The confict between climate change and energy scarcity has recently gained widespread attention. The development and promotion of green power and renewable energy is an efcient strategy to address this issue. The widespread use of distributed renewable energy in microgrids results in decentralized power supply. The features of distributed power trading, such as low single transaction volume and frequent transaction intervals, present both possibilities and problems to the green electricity market. The usual centralized control and selling of power are no longer appropriate in this circumstance. This study proposes a decentralized energy transaction system architecture in the microgrid and connects the double auction mechanism to achieve the interests of each participant based on blockchain technology and the status quo green power trade in China. Finally, using the trading strategy and model, this study constructs a real and operational energy trading platform, and simulated experiments demonstrate the dependability and efcacy of the proposed trading mechanism.
Wenhui Guo,Shuhu Guo,Xu Zhao,Zhenjun Yuan,Yu Zhao,Xin Chang,Hong Li,Xiong Zhao,Ye Wan,Dazhou Yan,Zhongyuan Ren,Xiaolei Fan,Xin Gao 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.109 No.-
Ultra-high-purity (UHP) electronic-grade octamethylcyclotetrasiloxane (D4) is the key precursor of lowdielectricconstant (low-k) SiCOH films to manufacture integrated circuits (IC), meeting the stringentrequirements of the rapidly developing semiconductor industry. Commonly, metallic impurities in D4were removed by multiple unit operations of adsorption, filtration, and distillation, which could reducethe concentration of a single metallic impurity below 1 ppb. However, D4 with higher purity is requiredby semiconductor production due to an increase in transistor density. Herein, a novel method based onthe integrated simultaneous distillation–extraction (SDE) was developed for manufacturing UHPelectronic-grade D4. The lab and pilot scale experiments showed that the purity of water and D4 has apositive correlation. Based on the experimental data, a double-column process, consisting of azeotropic/extractive distillation column and precision distillation column with UNIQUAC method, was establishedto access the feasibility of scaling up the SDE process. According to the simulation results, D4with the purity > 99.999 wt.% and total metallic impurities (TMI) content below 1 ppb could be obtainedusing ultra-pure water.
Wenhui Liu,Ping Cao,Chenbing Zhao,Yufeng Song,Changping Tang 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.11
The dynamic mechanical behaviors of 7B52 laminated aluminum alloy under different impact deformation conditions wereinvestigated using split Hopkinson pressure bar, optical microscopy, electron backscatter diffraction and transmission electronmicroscopy. The results show that the 7B52 laminated aluminum alloy displays positive strain rate sensitivity and negativetemperature sensitivity. Cracks are formed firstly at the interface between the 7A62 hard layer and the 7A01 middle layerunder a low strain rate of 2200 s−1. When the strain rate increases to 3500 s−1, the deformation shear band is firstly formed inthe 7A52 soft layer. The deformation shear band transformed to the transition shear band with the increase of strain rate, andthen crack initiated. Adiabatic shear bands and cracks are formed in both of the hard and soft layers when samples impactedat a high strain rate (5500 s−1). Most of the cracks and adiabatic shear bands are unable to penetrate the middle layer dueto the good toughness of the 7A01 alloy. The deformation of each layer of 7B52 laminated aluminum alloy becomes moreuniform when the temperature increases, which was attributed to the reduction of difference in strength among the threelayers and the coordinating effect of grain boundary on deformation.
Wenhui Ma,Zhaochuan Yu,Zhongcai Li,Jing Wen,Baoru Zhao,Yong Zhang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2020 NANO Vol.15 No.03
Owing to the hazardness, the sensitive and selective detection of cyanide (CN-) in water or water-containing systems has still been a puzzle plaguing scientists all around the world. In this paper, a novel fluorescence probe based on covalently functionalized graphene oxide (GO) by aminocoumarin for highly selective detection of CN- in deionized water was prepared under the action of EDC/NHS. This probe bears aminocoumarin group as the recognition site and fluorophore, and its fluorescence quantum yield is increased by 0.07. Simultaneously, by loading on GO, the dispersibility, selectivity and reversibility were soundly improved, which facilitated the detection process. The fluorescence spectra showed that the probe has high selectivity and sensitivity for cyanide, and has potential application in real water.
Research of Comprehensive Compensation of Harmonics, Reactive current and DC Bias in UHV Power Grid
Baishan Zhao,Wenhui Li 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.10
A comprehensive compensation device with paralleled decoupling for suppressing harmonics current, reactive power, and DC Bias of power transformer is proposed. Harmonics current and reactive current are detected by instantaneous reactive power theory. In this way, the fundamental active power is converted to be compensated reactive power and harmonics by controlling the converter. Compared to the ASVG with IGBT, the capacity and withstanding voltage level of ASVG with GTO are improved. The voltage across the devices of APF with multi-level inverter is reduced because of the paralleled decoupling connection. The harmonics compensation with multi-stage inverter can also reduce the voltage across the devices effectively. The reactive power compensator can work as a controllable rectifier and output controllable current by changing control algorithm. This current injects neutral point of transformer and suppresses its DC Bias, which has obvious effect on a power transformer. As a part of intelligent power grid, this compensator plays an important role for the development of smart grid automation.
Wireless Channel Identification Algorithm Based on Feature Extraction and BP Neural Network
Li, Dengao,Wu, Gang,Zhao, Jumin,Niu, Wenhui,Liu, Qi Korea Information Processing Society 2017 Journal of information processing systems Vol.13 No.1
Effective identification of wireless channel in different scenarios or regions can solve the problems of multipath interference in process of wireless communication. In this paper, different characteristics of wireless channel are extracted based on the arrival time and received signal strength, such as the number of multipath, time delay and delay spread, to establish the feature vector set of wireless channel which is used to train backpropagation (BP) neural network to identify different wireless channels. Experimental results show that the proposed algorithm can accurately identify different wireless channels, and the accuracy can reach 97.59%.
Chen, Guangxin,Gao, Zhenhua,Chu, Wenhui,Cao, Zan,Li, Chunyi,Zhao, Haiping Asian Australasian Association of Animal Productio 2018 Animal Bioscience Vol.31 No.4
Objective: This experiment was conducted to investigate the effects of chromium picolinate (CrP) on fat deposition, genetic expression and enzymatic activity of lipid metabolism-related enzymes. Methods: Two hundred forty one-day-old Ross broilers were randomly divided into 5 groups with 4 replicates per group and 12 Ross broiler chicks per replicate. The normal control group was fed a basal diet, and the other groups fed the same basal diet supplemented with 0.1, 0.2, 0.4, and 0.8 mg/kg CrP respectively. The experiment lasted for 21 days. Results: Added CrP in the basal diet decreased the abdominal fat, had no effects on subcutaneous fat thickness and inter-muscular fat width; 0.2 mg/kg CrP significantly decreased the fatty acid synthase (FAS) enzymatic (p<0.05); acetyl-CoA carboxylase (ACC) enzymatic activity decreased in all CrP groups (p<0.05); hormone-sensitive lipase (HSL) enzymatic activity also decreased, but the change was not significant (p>0.05); 0.4 mg/kg CrP group significantly decreased the lipoprotein lipase (LPL) enzymatic activity. FAS mRNA expression increased in all experimental groups, and the LPL mRNA expression significantly increased in all experimental groups (p<0.05), but not 0.2 mg/kg CrP group. Conclusion: The results indicated that adding CrP in basal diet decreased the abdominal fat percentage, had no effects on subcutaneous fat thickness and inter-muscular fat width, decreased the enzymatic activity of FAS, ACC, LPL and HSL and increased the genetic expression levels of FAS and LPL.
Face Recognition based on Weber Symmetrical Local Graph Structure
( Jucheng Yang ),( Lingchao Zhang ),( Yuan Wang ),( Tingting Zhao ),( Wenhui Sun ),( Dong Sun Park ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.4
Weber Local Descriptor (WLD) is a stable and effective feature extraction algorithm, which is based on Weber's Law. It calculates the differential excitation information and direction information, and then integrates them to get the feature information of the image. However, WLD only considers the center pixel and its contrast with its surrounding pixels when calculating the differential excitation information. As a result, the illumination variation is relatively sensitive, and the selection of the neighbor area is rather small. This may make the whole information is divided into small pieces, thus, it is difficult to be recognized. In order to overcome this problem, this paper proposes Weber Symmetrical Local Graph Structure (WSLGS), which constructs the graph structure based on the 5 × 5 neighborhood. Then the information obtained is regarded as the differential excitation information. Finally, we demonstrate the effectiveness of our proposed method on the database of ORL, JAFFE and our own built database, high-definition infrared faces. The experimental results show that WSLGS provides higher recognition rate and shorter image processing time compared with traditional algorithms.
The Role of Long Noncoding RNAs in Antiestrogen Resistance in Breast Cancer: An Overview and Update
Lan Huang,Guohua Liang,Qingyuan Zhang,Wenhui Zhao 한국유방암학회 2020 Journal of breast cancer Vol.23 No.2
As a standard treatment, endocrine therapy has dramatically enhanced the prognosis of patients with estrogen receptor (ER)-positive breast cancer, which accounts for nearly 70% of all breast cancers. Antiestrogen drugs such as tamoxifen and aromatase inhibitors are the standard treatment options for ERα-positive breast cancer. However, acquired antiestrogen resistance is still the leading cause of disease recurrence and progression. Evidence has shown that long noncoding RNAs (lncRNAs) play an essential role in the development of antiestrogen resistance in ER-positive breast cancer and can serve as biomarkers or potential therapeutic targets. This review highlights the role of lncRNAs in the development of antiestrogen resistance in breast cancer.