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Channel Fading Effect Analysis on Diffusion Cooperation Strategies over Adaptive Networks
( Jie Yang ),( Ehsan Mostafapour ),( Amir Aminfar ),( Jie Wang ),( Hao Huang ),( Afsaneh Akhbari ),( C. Ghobadi ),( Guan Gui ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.1
In this paper, we investigate the performance of the diffusion adaptation strategies for parameter estimation in wireless adaptive networks, where the nodes exchange information over noisy and fading wireless channels. This paper shows the differences between the effect of Rayleigh and Rician fading over wireless adaptive networks and proves that the Rician fading is a more practical model in such kinds of networks. Simulation results imply that the effect of Rayleigh fading is more degrading for the estimation process than Rician fading. Also, the simulation results show the performance of adapt then combine (ATC) diffusion algorithm is better than the combine then adapt (CTA) algorithm by merely considering noise in wireless channels. While the performance of CTA prevails ATC over the wireless adaptive network in the presence of noise plus channel fading.
Antibacterial characteristics of glycinin basic polypeptide against Staphylococcus aureus
Jie Yang,Gui-Jin Sun,Ying-Qiu Li,Kai-Yu Cui,Hai Zhen Mo 한국식품과학회 2016 Food Science and Biotechnology Vol.25 No.5
This paper aims to study the antibacterial action of glycinin basic polypeptide (GBP) on Staphylococcus aureus (S. aureus). Herein, the minimum inhibitory concentration (MIC) of GBP against S. aureus was 0.2 mg/mL. Atomic force microscopy (AFM) imaging showed that GBP seriously damaged the morphology of the S. aureus cells. GBP (0.8 mg/mL) enhanced the relative release of β- galactosidase to 25.48% when compared to the control. The activity of the respiratory-chain dehydrogenase of S. aureus decreased with increasing GBP concentration. GBP could cause a leakage of intracellular substances. Additionally, sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) demonstrated that S. aureus bacterial proteins decreased in response to the time period of treating the bacterial cells with GBP. These results indicate that GBP could remarkably inhibit S. aureus and is, therefore, a potential food preservative.
Antibacterial characteristics of glycinin basic polypeptide against Staphylococcus aureus
Yang, Jie,Sun, Gui-Jin,Li, Ying-Qiu,Cui, Kai-Yu,Mo, Hai Zhen 한국식품과학회 2016 Food Science and Biotechnology Vol.25 No.5
This paper aims to study the antibacterial action of glycinin basic polypeptide (GBP) on Staphylococcus aureus (S. aureus). Herein, the minimum inhibitory concentration (MIC) of GBP against S. aureus was 0.2 mg/mL. Atomic force microscopy (AFM) imaging showed that GBP seriously damaged the morphology of the S. aureus cells. GBP (0.8 mg/mL) enhanced the relative release of ${\beta}$-galactosidase to 25.48% when compared to the control. The activity of the respiratory-chain dehydrogenase of S. aureus decreased with increasing GBP concentration. GBP could cause a leakage of intracellular substances. Additionally, sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) demonstrated that S. aureus bacterial proteins decreased in response to the time period of treating the bacterial cells with GBP. These results indicate that GBP could remarkably inhibit S. aureus and is, therefore, a potential food preservative.
Chatbot Design Method Using Hybrid Word Vector Expression Model Based on Real Telemarketing Data
( Jie Zhang ),( Jianing Zhang ),( Shuhao Ma ),( Jie Yang ),( Guan Gui ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.4
In the development of commercial promotion, chatbot is known as one of significant skill by application of natural language processing (NLP). Conventional design methods are using bag-of-words model (BOW) alone based on Google database and other online corpus. For one thing, in the bag-of-words model, the vectors are Irrelevant to one another. Even though this method is friendly to discrete features, it is not conducive to the machine to understand continuous statements due to the loss of the connection between words in the encoded word vector. For other thing, existing methods are used to test in state-of-the-art online corpus but it is hard to apply in real applications such as telemarketing data. In this paper, we propose an improved chatbot design way using hybrid bag-of-words model and skip-gram model based on the real telemarketing data. Specifically, we first collect the real data in the telemarketing field and perform data cleaning and data classification on the constructed corpus. Second, the word representation is adopted hybrid bag-of-words model and skip-gram model. The skip-gram model maps synonyms in the vicinity of vector space. The correlation between words is expressed, so the amount of information contained in the word vector is increased, making up for the shortcomings caused by using bag-of-words model alone. Third, we use the term frequency-inverse document frequency (TF-IDF) weighting method to improve the weight of key words, then output the final word expression. At last, the answer is produced using hybrid retrieval model and generate model. The retrieval model can accurately answer questions in the field. The generate model can supplement the question of answering the open domain, in which the answer to the final reply is completed by long-short term memory (LSTM) training and prediction. Experimental results show which the hybrid word vector expression model can improve the accuracy of the response and the whole system can communicate with humans.
A Two-stage State Transition Algorithm for Constrained Engineering Optimization Problems
Jie Han,Chun-hua Yang,Xiaojun Zhou,Wei-Hua Gui 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.2
In this study, a state transition algorithm (STA) is investigated into constrained engineering design optimization problems. After an analysis of the advantages and disadvantages of two well-known constraint-handling techniques, penalty function method and feasibility preference method, a two-stage strategy is incorporated into STA, in which, the feasibility preference method is adopted in the early stage of an iteration process whilst it is changed to the penalty function method in the later stage. Then, the proposed STA is used to solve three benchmark problems in engineering design and an optimization problem in power-dispatching control system for the electrochemical process of zinc. The experimental results have shown that the optimal solutions obtained by the proposed method are all superior to those by typical approaches in the literature in terms of both convergency and precision.
Jian Liu,Gui-jie Yang,Yong Li,Hong-wei Gao,Jian-yong Su 전력전자학회 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.1
To insure stable operation and eliminate twice torque ripple, a topology for a six phase permanent magnet synchronous generator (SP-PMSG) with a neutral point connected together was analyzed in this paper. By adopting an extended transformation matrix, the mathematic model of the space vector control was established. The voltage and torque equations were deduced while considering the third harmonic flux and inductance. In addition, the suppression third harmonic method and the closed loop control strategy were proposed. A comparison analysis indicates that the cooper loss minimum method and the current magnitude minimum method can meet different application requirements. The voltage compensation amount for each of the methods was deduced which also takes into account the third harmonic effect. A simulation and experimental result comparison validates the consistency through theoretical derivation. It can be seen that all of the two control strategies can meet the requirements of post-fault.
Liu, Jian,Yang, Gui-Jie,Li, Yong,Gao, Hong-Wei,Su, Jian-Yong The Korean Institute of Power Electronics 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.1
To insure stable operation and eliminate twice torque ripple, a topology for a six phase permanent magnet synchronous generator (SP-PMSG) with a neutral point connected together was analyzed in this paper. By adopting an extended transformation matrix, the mathematic model of the space vector control was established. The voltage and torque equations were deduced while considering the third harmonic flux and inductance. In addition, the suppression third harmonic method and the closed loop control strategy were proposed. A comparison analysis indicates that the cooper loss minimum method and the current magnitude minimum method can meet different application requirements. The voltage compensation amount for each of the methods was deduced which also takes into account the third harmonic effect. A simulation and experimental result comparison validates the consistency through theoretical derivation. It can be seen that all of the two control strategies can meet the requirements of post-fault.
Yu-Ying Liu,Wentao Yang,Shaohua Shi,Ya-Jie Li,Liang Zhao,Chunwei Shi,Fangyu Zhou,Yanlong Jiang,Jingtao Hu,Wei Gu,Gui-Lian Yang,Chun-feng Wang 대한수의학회 2017 Journal of Veterinary Science Vol.18 No.2
Goose parvovirus (GPV) continues to be a threat to goose farms and has significant economic effects on the production of geese. Current commercially available vaccines only rarely prevent GPV infection. In our study, Lactobacillus (L.) plantarum NC8 was selected as a vector to express the VP2 gene of GPV, and recombinant L. plantarum pSIP409-VP2/NC8 was successfully constructed. The molecular weight of the expressed recombinant protein was approximately 70 kDa. Mice were immunized with a 2 × 109 colony-forming unit/200 mL dose of the recombinant L. plantarum strain, and the ratios and numbers of CD11c+, CD3+CD4+, CD3+CD8+, and interferon gamma- and tumor necrosis factor alpha-expressing spleen lymphocytes in the pSIP409-VP2/NC8 group were higher than those in the control groups. In addition, we assessed the capacity of L. plantarum SIP409-VP2/NC8 to induce secretory IgA production. We conclude that administered pSIP409-VP2/NC8 leads to relatively extensive cellular responses. This study provides information on GPV infection and offers a clear framework of options available for GPV control strategies.
CNN-based Skip-Gram Method for Improving Classification Accuracy of Chinese Text
( Wenhua Xu ),( Hao Huang ),( Jie Zhang ),( Hao Gu ),( Jie Yang ),( Guan Gui ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.12
Text classification is one of the fundamental techniques in natural language processing. Numerous studies are based on text classification, such as news subject classification, question answering system classification, and movie review classification. Traditional text classification methods are used to extract features and then classify them. However, traditional methods are too complex to operate, and their accuracy is not sufficiently high. Recently, convolutional neural network (CNN) based one-hot method has been proposed in text classification to solve this problem. In this paper, we propose an improved method using CNN based skip-gram method for Chinese text classification and it conducts in Sogou news corpus. Experimental results indicate that CNN with the skip-gram model performs more efficiently than CNN-based one-hot method.