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Huang, Weiwei,Jang, Jin-Ho 한국섬유공학회 2009 FIBERS AND POLYMERS Vol.10 No.1
Poly(acrylic acid) and poly(hydroxyethyl methacrylate) were introduced onto PET fabrics by UV-induced photografting to improve its hydrophilicity. Several factors affecting the photografting were studied including irradiation energy, monomer, and photoinitiator (PI) concentrations. ATR and ESCA analyses proved successful grafting of the two monomers onto PET. Morphology of fabric surface was examined using FE-SEM. Both zeta potential and water wetting time of the grafted PET fabrics decreased with increasing grafting yield. Also cationic dyeability of the grafted PET fabrics increased because of the increased electrostatic interactions between the anionic dyeing sites and cationic dyes.
Improved Convolutional Neural Network for Laser Welding Defect Prediction
Weiwei Huang,Xiangdong Gao,Yuhui Huang,Yanxi Zhang 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.24 No.1
In order to predict the laser welding defects, a convolutional neural network prediction model is established. The keyhole image and plume image collected by a high-speed camera are processed to obtain visual information such as keyhole area and plume area. The rolling mean and standard deviation methods are used to calculate the fluctuation degree indicators of the visual information and the optical radiation information obtained by the photoelectric sensor. Finally, three improved one-dimensional convolutional neural network prediction models with a learning rate dynamic adjustment mechanism are established to predict welding defects. Experimental results indicate that the improved one-dimensional convolutional neural network prediction model can avoid premature convergence four times to achieve the best performance. The fluctuation degree indicators of sensor features can distinguish the welding state more easily than the sensor features. The reliability test of the new weld is carried out. The prediction accuracy of fusion detection model of sensor features and fluctuation degree indicators is 99.21%. The improved model can accurately predict laser welding defects.
Weiwei Li,Ming Feng,Xiaojing Liu,Momo Huang,Renliang Ma 한국섬유공학회 2019 Fibers and polymers Vol.20 No.2
The properties of ultra-high molecular weight polyethylene (UHMWPE) fibers reinforced epoxy resin composites were studied and the effects of the fiber surface treatment were investigated. The results showed that the surface treatment increased the roughness, O-containing groups (especially -OH groups), crystallinity and improved the wettability ofUHMWPE fibers. The impact strength of the treated UHMWPE fibers/epoxy composites reached the maximum of 92.6 kJ/m2, which was higher than that of pure epoxy and as-received fiber composites. The tensile strength of both as-received and treated fiber composites showed lower than the pure epoxy. However, the tensile modulus was observably increased. The bending strength and modulus of the treated UHMWPE fibers/epoxy composites were 26.2 % and 26.0 %, higher than those of pure epoxy, respectively. The friction coefficients of the two types of composites were both increased. The dynamic mechanical analysis (DMA) results showed that Tg shifted toward higher temperatures and the reduction of tan δ peak of the treated UHMWPE fibers/epoxy composites indicated the adhesion of treated fiber with resin matrix was better than that of as-received fibers, which was in accord with the scanning electron microscope (SEM) analysis. The adding of the treated UHMWPE fibers to the epoxy matrix offered a stabilizing effect against the decomposition.
EHMM-CT: An Online Method for Failure Prediction in Cloud Computing Systems
( Weiwei Zheng ),( Zhili Wang ),( Haoqiu Huang ),( Luoming Meng ),( Xuesong Qiu ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.9
The current cloud computing paradigm is still vulnerable to a significant number of system failures. The increasing demand for fault tolerance and resilience in a cost-effective and device-independent manner is a primary reason for creating an effective means to address system dependability and availability concerns. This paper focuses on online failure prediction for cloud computing systems using system runtime data, which is different from traditional tolerance techniques that require an in-depth knowledge of underlying mechanisms. A `failure prediction` approach, based on Cloud Theory (CT) and the Hidden Markov Model (HMM), is proposed that extends the HMM by training with CT. In the approach, the parameter ω is defined as the correlations between various indices and failures, taking into account multiple runtime indices in cloud computing systems. Furthermore, the approach uses multiple dimensions to describe failure prediction in detail by extending parameters of the HMM. The likelihood and membership degree computing algorithms in the CT are used, instead of traditional algorithms in HMM, to reduce computing overhead in the model training phase. Finally, the results from simulations show that the proposed approach provides very accurate results at low computational cost. It can obtain an optimal tradeoff between `failure prediction` performance and computing overhead.
The genome of the cucumber, Cucumis sativus L.
Huang, Sanwen,Li, Ruiqiang,Zhang, Zhonghua,Li, Li,Gu, Xingfang,Fan, Wei,Lucas, William J,Wang, Xiaowu,Xie, Bingyan,Ni, Peixiang,Ren, Yuanyuan,Zhu, Hongmei,Li, Jun,Lin, Kui,Jin, Weiwei,Fei, Zhangjun,Li Nature Publishing Group 2009 Nature genetics Vol.41 No.12
Cucumber is an economically important crop as well as a model system for sex determination studies and plant vascular biology. Here we report the draft genome sequence of Cucumis sativus var. sativus L., assembled using a novel combination of traditional Sanger and next-generation Illumina GA sequencing technologies to obtain 72.2-fold genome coverage. The absence of recent whole-genome duplication, along with the presence of few tandem duplications, explains the small number of genes in the cucumber. Our study establishes that five of the cucumber's seven chromosomes arose from fusions of ten ancestral chromosomes after divergence from Cucumis melo. The sequenced cucumber genome affords insight into traits such as its sex expression, disease resistance, biosynthesis of cucurbitacin and 'fresh green' odor. We also identify 686 gene clusters related to phloem function. The cucumber genome provides a valuable resource for developing elite cultivars and for studying the evolution and function of the plant vascular system.
Coexistence of OSCR-Based IR-UWB System with IEEE 802.11a WLAN
Weiwei Wu,Han Huang,Huarin Yin,Weidong Wang,Dongjin Wang 한국전자통신연구원 2006 ETRI Journal Vol.28 No.1
Impulse radio (IR) is a competitive candidate for ultra-wideband (UWB) systems. In this letter, we evaluated the coexistence of an IR-UWB system based on an orthogonal sinusoidal correlation receiver (OSCR) with an IEEE 802.11a WLAN through a detailed simulation. The coexistence performance of the two systems is characterized in terms of the receiver’s bit-error rates. Then, some approaches to interference mitigation are discussed.
Exploiting Correlation Characteristics to Detect Covert digital communication
( Shuhua Huang ),( Weiwei Liu ),( Guangjie Liu ),( Yuewei Dai ),( Wen Tian ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.8
As a widely used way to exfiltrate information, wireless covert channel (WCC) brings a serious threat to communication security, which enables the wireless communication process to bypass the authorized access control mechanism to disclose information. Unlike the covert channel on the network layer, wireless covert channels on the physical layer (WCC-P) is a new covert communication mode to implement and improve covert wireless communication. Existing WCC-P scheme modulates the secret message bits into the Gaussian noise, which is also called covert digital communication system based on the joint normal distribution (CJND). Finding the existence of this type of covert channel remains a challenging work due to its high undetectability. In this paper, we exploit the square autocorrelation coefficient (SAC) characteristic of the CJND signal to distinguish the covert communication from legitimate communication. We study the sharp increase of the SAC value when the offset is equal to the symbol length, which is caused by embedding secret information. Then, the SAC value of the measured sample is compared with the threshold value to determine whether the measured sample is CJND sample. When the signal-to-noise ratio reaches 20db, the detection accuracy can reach more than 90%.
ZaoZao Chen,WeiWei Huang,ZhiWei Zhu,XinQuan Zhang,LiMin Zhu,XiangQian Jiang 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.24 No.12
In ultra-precision diamond turning, the reduction of machining form errors can generally be achieved through on-machine measurement and compensation. However, the efficiency of conventional compensation methods is often insufficient, particularly when high form accuracy is required or when intricate surface topography and microstructures need to be machined. Consequently, this research proposes a novel machining error compensation method based on iterative learning from on-machine measured data to enhance the machining accuracy and compensation efficiency. The on-machine measurement system and cutting path generation algorithm are introduced first. Then, the compensation method via iterative learning is presented theoretically, demonstrating a higher convergence order compared to the conventional method. Finally, machining experiments involving the cutting of cosine surfaces are conducted, followed by measurements of the processed workpieces. The experimental results indicate that after four rounds of compensation using the conventional method, the peak-to-valley (PV) value of the form error is reduced to 0.1134 μm. In contrast, employing the proposed method, a similar value of 0.1156 μmis achieved after only two rounds of compensation. This highlights the significant reduction in compensation time facilitated by the proposed method. Furthermore, the measurement results verify that the proposed compensation method maintains excellent surface quality.