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( Shanshan Wu ),( Guobing Hu ),( Li Yang ),( Bin Gu ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.12
This study proposes an analytical approximation algorithm based on extreme value theory (EVT) for the inverse of the power of the incomplete Gamma function. First, the Gumbel function is used to approximate the power of the incomplete Gamma function, and the corresponding inverse problem is transformed into the inversion of an exponential function. Then, using the tail equivalence theorem, the normalized coefficient of the general Weibull distribution function is employed to replace the normalized coefficient of the random variable following a Gamma distribution, and the approximate closed form solution is obtained. The effects of equation parameters on the algorithm performance are evaluated through simulation analysis under various conditions, and the performance of this algorithm is compared to those of the Newton iterative algorithm and other existing approximate analytical algorithms. The proposed algorithm exhibits good approximation performance under appropriate parameter settings. Finally, the performance of this method is evaluated by calculating the thresholds of space-time block coding and space-frequency block coding pattern recognition in multiple-input and multiple-output orthogonal frequency division multiplexing. The analytical approximation method can be applied to other related situations involving the maximum statistics of independent and identically distributed random variables following Gamma distributions.
Modulation Recognition of BPSK/QPSK Signals based on Features in the Graph Domain
Li Yang,Guobing Hu,Xiaoyang Xu,Pinjiao Zhao 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.11
The performance of existing recognition algorithms for binary phase shift keying (BPSK) and quadrature phase shift keying (QPSK) signals degrade under conditions of low signal-to-noise ratios (SNR). Hence, a novel recognition algorithm based on features in the graph domain is proposed in this study. First, the power spectrum of the squared candidate signal is truncated by a rectangular window. Thereafter, the graph representation of the truncated spectrum is obtained via normalization, quantization, and edge construction. Based on the analysis of the connectivity difference of the graphs under different hypotheses, the sum of degree (SD) of the graphs is utilized as a discriminate feature to classify BPSK and QPSK signals. Moreover, we prove that the SD is a Schur-concave function with respect to the probability vector of the vertices (PVV). Extensive simulations confirm the effectiveness of the proposed algorithm, and its superiority to the listed model-driven-based (MDB) algorithms in terms of recognition performance under low SNRs and computational complexity. As it is confirmed that the proposed method reduces the computational complexity of existing graph-based algorithms, it can be applied in modulation recognition of radar or communication signals in real-time processing, and does not require any prior knowledge about the training sets, channel coefficients, or noise power.
An ABA triblock copolymer strategy for intrinsically stretchable semiconductors
Peng, Rui,Pang, Bo,Hu, Daqing,Chen, Mengjie,Zhang, Guobing,Wang, Xianghua,Lu, Hongbo,Cho, Kilwon,Qiu, Longzhen The Royal Society of Chemistry 2015 Journal of Materials Chemistry C Vol.3 No.15
<▼1><P>A novel semiconductor–rubber–semiconductor triblock copolymer has been designed and prepared according to the principle of thermoplastic elastomers (TPEs). It behaves as a TPE and exhibits good electrical properties.</P></▼1><▼2><P>A novel semiconductor–rubber–semiconductor (P3HT–PMA–P3HT) triblock copolymer has been designed and prepared according to the principle of thermoplastic elastomers. It behaves as a thermoplastic elastomer with a Young's modulus (<I>E</I>) of 6 MPa for an elongation at break of 140% and exhibits good electrical properties with a carrier mobility of 9 × 10<SUP>−4</SUP> cm<SUP>2</SUP> V<SUP>−1</SUP> s<SUP>−1</SUP>. This novel semiconductor may play an important role in low-cost and large-area stretchable electronics.</P></▼2>
Liu, Lu,Ying, Guobing,Wen, Dong,Hu, Cong,Zhang, Chen,Wang, Cheng Techno-Press 2021 Advances in nano research Vol.11 No.3
MXene (Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub>) reinforced copper matrix composites with weight fractions of MXene from 1 to 4 wt.% were fabricated based on molecular-level and high-shear mixings and spark plasma sintering (SPS) method. The mechanical properties of the composites with different weight fractions of MXene were studied, and X-ray photoelectron spectroscopy (XPS) was used to track the state of MXene in the composite preparation process. Chemical state and interface transitions would result in an interesting ductile-brittle transition phenomenon of the composite. The Vickers hardness and compressive strength of the composites prepared by the molecular-level mixing and high-shear mixing methods have been improved (the maxima are 44.9% and 41.8%, respectively), where the addition of 1wt.% MXene results in a tensile strength increase of 29.9%. The results show that molecular-level mixing and high-shear mixing methods are hopeful to be applied to produce many kinds of MXene composites.
Qian Zhang,Changpeng Hu,Jingbin Huang,Wuyi Liu,Wenjing Lai,Faning Leng,Qin Tang,Yali Liu,Qing Wang,Min Zhou,Fangfang Sheng,Guobing Li,Rong Zhang 생화학분자생물학회 2019 Experimental and molecular medicine Vol.51 No.-
Dopamine deficiency is mainly caused by apoptosis of dopaminergic nerve cells in the substantia nigra of themidbrain and the striatum and is an important pathologic basis of Parkinson’s disease (PD). Recent research has shownthat dynamin-related protein 1 (Drp1)-mediated aberrant mitochondrial fission plays a crucial role in dopaminergicnerve cell apoptosis. However, the upstream regulatory mechanism remains unclear. Our study showed that Drp1knockdown inhibited aberrant mitochondrial fission and apoptosis. Importantly, we found that ROCK1 was activated inan MPP+-induced PD cell model and that ROCK1 knockdown and the specific ROCK1 activation inhibitor Y-27632blocked Drp1-mediated aberrant mitochondrial fission and apoptosis of dopaminergic nerve cells by suppressing Drp1dephosphorylation/activation. Our in vivo study confirmed that Y-27632 significantly improved symptoms in a PDmouse model by inhibiting Drp1-mediated aberrant mitochondrial fission and apoptosis. Collectively, our findingssuggest an important molecular mechanism of PD pathogenesis involving ROCK1-regulated dopaminergic nerve cellapoptosis via the activation of Drp1-induced aberrant mitochondrial fission.
Wireless Energy-Harvesting Cognitive Radio with Feature Detectors
( Yan Gao ),( Yunfei Chen ),( Zhibin Xie ),( Guobing Hu ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.10
The performances of two commonly used feature detectors for wireless energy-harvesting cognitive radio systems are compared with the energy detector under energy causality and collision constraints. The optimal sensing duration is obtained by analyzing the effect of the detection threshold on the average throughput and collision probability. Numerical examples show that the covariance detector has the optimal sensing duration depending on an appropriate choice of the detection threshold, but no optimal sensing duration exists for the ratio of average energy to minimum eigenvalue detector.