Design and Implementation of Wind Load Resistance Performance Data Acquisition System of Building Curtain Wall

Zhigang Feng,Junlei Feng 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.2

With the development of the curtain wall industry and expiration of the curtain wall structures which designed and built in the early life, the testing for building curtain walls will be increasingly focused on. In this paper, a Client/Server structure acquisition system of the curtain wall wind pressure resistance characteristics data, which is based on the Advantech data acquisition card PCI-1747U, has been designed and implemented for the GB/T 15227-2007 (Test method of air permeability, watertightness, wind load resistance performance for curtain walls). The hardware of the data acquisition system contain three major components: The sensor part; The signal conditioning circuits part, which consists of sensor supply circuit, I-V conversion circuit and filter circuit; data acquisition part consists of Advantech card PCI-1747U and Advantech industrial computer 610L. The software of the system contain the data acquisition Server and data processing client. They communicate through TCP/IP protocol and complete the sensor calibration, static test and dynamic test of the wind load performance data, query and output historical data and other functions. Microsoft SQL Server 2000 database was used to management the test data. After running and debugging, the system’s sample time and accuracy reached the requirement of wind load resistance performance test.

Self-validating Pneumatic Actuator Fault Diagnosis Based on Relevance Vector Machine

Zhigang Feng,Ru Wang 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.11

In order to solve the fault diagnosis problem of self-validating (SEVA) pneumatic actuator, an actuator fault diagnosis approach based on relevance vector machine (RVM) regression modeling and relevance vector machine (RVM) multi-classifier is proposed. The RVM regression is used to establish the normal models of the SEVA pneumatic actuator. The residuals generated by comparing the output of the models and the actual SEVA actuator are used as the nonlinear features. Then, the structure of the RVM for multi-classification is designed using k-meaning clustering methods, which is used as fault classifier to identify the condition and fault pattern of the SEVA actuator. The proposed approach is verified using fault data generated by DABLib model and actuator data from Lublin Sugar Factory and compared with support vector machine (SVM) fault diagnosis approach. The results indicate that the proposed approach overcomes the drawbacks of SVM and resolves the small sample and nonlinear problem in SEVA pneumatic actuator fault diagnosis.

Design and Implementation of Self-validating Pneumatic Actuator Hardware System Based on DSP and MCU

Zhigang Feng,Meng Qiu 보안공학연구지원센터 2014 International Journal of Hybrid Information Techno Vol.7 No.6

Self-validating (SEVA) pneumatic actuator is a new generation of actuator which can not only give the corresponding output according to the input control variable but also give the accuracy of the control output and status of the actuator itself and other information. A dual processor system is implemented using C8051F060 and TMS320F28335 to acquire the signals and complete fault detection, diagnosis and self-validating parameters calculating. C8051F060 is used to data acquisition and preprocessing of the actuator inner signals, and communicate with Host PC.TMS320F28335 is used to run the self-validation algorithm and fault diagnosis algorithm and transfer the self-validation outputs to C8051F060. Experimental results indicate that the sell-validating unit can acquire the actuator inner sensors data correctly in normal state and fault state. With software modification of DSP and MCU, the system can be used in data acquisition and signal processing for other actuators.

Fault Diagnosis of LPRE Ground-testing Bed Based on PCA-SOM

Zhigang Feng 보안공학연구지원센터 2014 International Journal of Hybrid Information Techno Vol.7 No.2

Impact of sorption functional media (SFM) from zeolite tailings on the removal of ammonia nitrogen in a biological aerated filter

Yan Feng,Yanzhen Yu,Liping Qiu,Yawen Yang,Zhigang Li,Miaowan Li,Lisha Fan,Yuzhong Guo 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.21 No.1

Haydite and sorption functional media (SFM),made of clinoptilolite tailings, were used as filter media forbiological aerated filter (BAF) to treat synthetic wastewater in parallel. The aim of this work was toevaluate impact of SFM on the removal of ammonia nitrogen in a biological aerated filter reactor underammonium nitrogen shock loads. It could be demonstrated that: (1) the BAF with SFMpresented higherammonia nitrogen removal efficiency than that with haydite; (2) during the phase of higher influentconcentrations SFMs were collecting ammonia nitrogen and can buffer ammonia nitrogen loads anddampen the effluent concentration of ammonia nitrogen; (3) when the influent concentration decreasesammonia nitrogen will desorb from the SFM and can be utilized by the nitrifying bacteria growing on theSFM. Therefore, with the SFM application existing BAF unites can be upgraded and the stability of theoperation process of BAF can be improved significantly.

Dysregulated lncRNA and mRNA may promote the progression of ischemic stroke via immune and inflammatory pathways: results from RNA sequencing and bioinformatics analysis

Wang Yingshuang,Feng Feifei,Zheng Pingping,Wang Lijuan,Wang Yanjun,Lv Yaogai,Shen Li,Li Kexin,Feng Tianyu,Chen Yang,Liu Zhigang,Yao Yan 한국유전학회 2022 Genes & Genomics Vol.44 No.1

Background: Long non-coding RNAs (lncRNAs) are widely involved in gene transcription regulation and which act as epigenetic modifiers in many diseases. Objective: To determine whether lncRNAs are involved in ischemic stroke (IS), we analyzed the expression profile of lncRNAs and mRNAs in IS. Methods: RNA sequencing was performed on the blood of three pairs of IS patients and healthy controls. Differential expression analysis was used to identify differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs). Based on the co-expression relationships between lncRNA and mRNA, a series of bioinformatics analysis including GO and KEGG enrichment analysis and PPI analysis, were conducted to predict the function of lncRNA. Results: RNA sequencing produced a total of 5 DElncRNAs and 144 DEmRNAs. Influenza A pathway and Herpes simplex infection pathway were the most significant pathways. EP300 and NFKB1 were the most important target proteins, and Human leucocyte antigen (HLA) family were the key genes in IS. Conclusions: Analysis of this study revealed that dysregulated lncRNAs in IS may lead to IS by affecting the immune and inflammation system.

Proteasome subunit beta type 1 interacts directly with Rheb and regulates the cell cycle in Cashmere goat fetal fibroblasts

Yanfeng Wang,Xudong Guo,Zhigang Wang,Zhixin Guo,Mingtao Liu,Keyu Zhao,Xue Feng,Xu Zheng,Xiaojing Wang,Huifang Hao 한국통합생물학회 2017 Animal cells and systems Vol.21 No.5

PSMB1 (proteasome subunit beta type 1) is a core component of the 20S proteasome, and based on its structure, it might have a crucial function in the transcription of certain genes. Rheb (Ras homolog enriched in brain) is a Ras-like small GTPase that acts as an upstream positive regulator of the mechanistic target of rapamycin complex 1 (mTORC1) pathway. We cloned and characterized PSMB1 (KY310590.1) to determine its function in cell cycle progression and proliferation of goat fetal fibroblasts (GFbs). Further, by yeast two-hybrid screen and coimmunoprecipitation, we conformed that PSMB1 interacts directly with Rheb. An siRNA was designed and expressed targeting PSMB1 mRNA in GFbs and inducing cell cycle arrest. Rheb overexpression in GFbs significantly increased the number of S phase cells and growth efficiency compared with control cells. These data indicate that PSMB1 and Rheb have important functions in the cell cycle and proliferation of GFbs, indicating that their interaction governs many processes in GFbs.

Rapamycin Inhibits Expression of Elongation of Very-long-chain Fatty Acids 1 and Synthesis of Docosahexaenoic Acid in Bovine Mammary Epithelial Cells

Guo, Zhixin,Wang, Yanfeng,Feng, Xue,Bao, Chaogetu,He, Qiburi,Bao, Lili,Hao, Huifang,Wang, Zhigang Asian Australasian Association of Animal Productio 2016 Animal Bioscience Vol.29 No.11

Mammalian target of rapamycin complex 1 (mTORC1) is a central regulator of cell growth and metabolism and is sufficient to induce specific metabolic processes, including de novo lipid biosynthesis. Elongation of very-long-chain fatty acids 1 (ELOVL1) is a ubiquitously expressed gene and the product of which was thought to be associated with elongation of carbon (C) chain in fatty acids. In the present study, we examined the effects of rapamycin, a specific inhibitor of mTORC1, on ELOVL1 expression and docosahexaenoic acid (DHA, C22:6 n-3) synthesis in bovine mammary epithelial cells (BMECs). We found that rapamycin decreased the relative abundance of ELOVL1 mRNA, ELOVL1 expression and the level of DHA in a time-dependent manner. These data indicate that ELOVL1 expression and DHA synthesis are regulated by mTORC1 in BMECs.

The Real Time Infrared Image Acquisition and Processing System Design Based on FPGA

Fan Jianying,Cui Xin,Fan Zhigang,Feng Yao 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.2

Field programmable gate array (FPGA) has the characteristics of high speed, low power consumption, high integration, flexibility and, small size, etc. In this paper, I design a real time infrared image processing and display system based on FPGA for the requirement of real time infrared image processing, which will realize the transmission, transformation, and storage of the image information, and then complete the infrared image edge detection based on Sobel algorithm by using this system as a platform. At last, the advantages of infrared image processing with this system compared with other methods will be verified in this paper. The experimental results show that the system spends 11.44ms on processing the colorful image whose resolution is 640480.The system has realized the real time, high speed, stable and reliable acquisition, processing and display of infrared image and we can realize the infrared target feature extraction, recognition and tracking when we combine the system with other algorithms.

Synthesis of g-C3N4/CQDs composite and its photocatalytic degradation property for Rhodamine B

Jin Tao,Liu Chengbao,Chen Feng,Qian Junchao,Qiu Yongbin,Meng Xianrong,Chen Zhigang 한국탄소학회 2022 Carbon Letters Vol.32 No.6

To solve the problem of water pollution, researchers have proposed a photocatalytic degradation technology, in which the key factor is the development of efficient photocatalytic materials. Graphitic carbon nitride (g-C3N4), an n-type semiconductor, has been widely studied due to its suitable band gap (2.7 eV), low cost, easy preparation, non-toxicity, and high photostability. However, the pure-phase g-C3N4 still has defects such as low specific surface area, insufficient visible light absorption, low charge mobility, few active sites for interfacial reaction, and easy recombination of photogenerated electron–hole pairs, which leads to the lower photocatalytic activity of g-C3N4. Aiming at the problems mentioned above, this paper focus on the synthesis of g-C3N4-based composites with high photocatalytic activity via lemon juice induction method. Thiourea and lemon juice were selected as precursors, and carbon quantum dots (CQDs) as electron mediators were introduced anchoring on the surface of g-C3N4 to build g-C3N4/CQDs with compact interface. The results showed that small-sized CQDs are uniformly distributed on the surface of g-C3N4, and the g-C3N4/CQDs composite has a 2D0D structure, which reduces the recombination of photogenerated electron–hole pairs. The photocatalytic degradation efficiency of 4% g-C3N4/CQDs for RhB reaches the highest data of 90.9%, and the photocatalytic degradation rate is 0.016 min−1, which is about 2.3 times that of g-C3N4. After four cycles of photocatalytic reaction, the photocatalytic degradation efficiency of the material remained at 81.7%. Therefore, the g-C3N4/CQDs synthesized via lemon juice induction has a more stable microstructure, and the charge separation efficiency is greatly improved, which is suitable for practical photocatalytic environmental protection.