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Search Results: 1 - 10 of 9354 matches for " Tianhong Pan "
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The Linear Formulation of Thermal Unit Commitment Problem with Uncertainties through a Computational Mixed Integer  [PDF]
Mian Khuram Ahsan, Tianhong Pan, Zhengming Li
Journal of Power and Energy Engineering (JPEE) , 2018, DOI: 10.4236/jpee.2018.66001
Abstract: The solar and wind renewable energy is developing very rapidly to fulfill the energy gap. This specific increasing share of renewable energy is a reaction to the ecological trepidations to conciliate economics with security due to the new challenges in power system supply. In solar and wind renewable energy, the only partially predictable is the output with very low controllability which creates unit commitment problems in thermal units. In this research paper, a different linear formulation via mixed integer is presented that only requires “binary variables” and restraints concerning earlier stated models. The framework of this model allows precisely the costs of time-dependent startup & intertemporal limitations, for example, minimum up & down times and a ramping limit. To solve the unit commitment problem efficiently, a commercially available linear programming of mixed-integer is applied for sizeable practical scale. The results of the simulation are shown in conclusions.
A Three Decades of Marvellous Significant Review of Power Quality Events Regarding Detection & Classification  [PDF]
Mian Khuram Ahsan, Tianhong Pan, Zhengming Li
Journal of Power and Energy Engineering (JPEE) , 2018, DOI: 10.4236/jpee.2018.68001
Abstract: Around the globe, the necessity of green supply with a dedicated standard quality thrust of consumers is increasing day by day. The advancement in technology urges the electrical power system to deliver a high-quality rated undistorted sinusoidal current, the voltage at a constant desired standard frequency to its consumers. The present paper reveals a complete and inclusive study of power quality events, such as automatic classification and signal processing via creative techniques and the noises effect on the detection and classification of power quality disturbances. It’s planned to make a possible list for quick reference to obtain an extensive variety on the condition & status of available research for detection and classification for young engineers, designers and researchers who enter in the power quality field. The current extensive study is supported by a critical review of more than 200 publications on detection and classification techniques of power quality disturbances.
Robust Stability of Uncertain Systems over Network with Bounded Packet Loss
Yafeng Guo,Tianhong Pan
Journal of Applied Mathematics , 2012, DOI: 10.1155/2012/945240
Abstract: This paper investigates the problem of robust stability of uncertain linear discrete-time system over network with bounded packet loss. A new Lyapunov functional is constructed. It can more fully utilize the characteristics of the packet loss; hence the established stability criterion is more effective to deal with the effect of packet loss on the stability. Numerical examples are given to illustrate the effectiveness and advantage of the proposed methods.
The Role of Alpha-Synuclein in Melanin Synthesis in Melanoma and Dopaminergic Neuronal Cells
Tianhong Pan, Julie Zhu, Wen-Jen Hwu, Joseph Jankovic
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0045183
Abstract: The relatively high co-occurrence of Parkinson’s disease (PD) and melanoma has been established by a large number of epidemiological studies. However, a clear biological explanation for this finding is still lacking. Ultra-violet radiation (UVR)-induced skin melanin synthesis is a defense mechanism against UVR-induced damage relevant to the initiation of melanoma, whereas, increased neuromelanin (NM), the melanin synthesized in dopaminergic neurons, may enhance the susceptibility to oxidative stress-induced neuronal injury relevant to PD. SNCA is a PD-causing gene coding for alpha-Synuclein (α-Syn) that expresses not only in brain, but also in skin as well as in tumors, such as melanoma. The findings that α-Syn can interact with tyrosinase (TYR) and inhibit tyrosine hydroxylase (TH), both of which are enzymes involved in the biosynthesis of melanin and dopamine (DA), led us to propose that α-Syn may participate in the regulation of melanin synthesis. In this study, by applying ultraviolet B (UVB) light, a physiologically relevant stimulus of melanogenesis, we detected melanin synthesis in A375 and SK-MEL-28 melanoma cells and in SH-SY5Y and PC12 dopaminergic neuronal cells and determined effects of α-Syn on melanin synthesis. Our results showed that UVB light exposure increased melanin synthesis in all 4 cell lines. However, we found that α-Syn expression reduced UVB light-induced increase of melanin synthesis and that melanin content was lower when melanoma cells were expressed with α-Syn, indicating that α-Syn may have inhibitory effects on melanin synthesis in melanoma cells. Different from melanoma cells, the melanin content was higher in α-Syn-over-expressed dopaminergic neuronal SH-SY5Y and PC12 cells, cellular models of PD, than that in non-α-Syn-expressed control cells. We concluded that α-Syn could be one of the points responsible for the positive association between PD and melanoma via its differential roles in melanin synthesis in melanoma cells and in dopaminergic neuronal cells.
Cold adaptation of a mesophilic cellulase, EG III from Trichoderma reesei, by directed evolution
Zhizhuang Xiao,Pan Wang,Yinbo Qu,Peiji Gao,Tianhong Wang
Science China Life Sciences , 2002, DOI: 10.1360/02yc9037
Abstract: Cold-active enzymes have received little research attention although they are very useful in industries. Since the structure bases of cold adaptation of enzymes are still unclear, it is also very difficult to obtain cold-adapted enzymes for industrial applications using routine protein engineering methods. In this work, we employed directed evolution method to randomly mutate a mesophilic cellulase, endoglucanase III (EG III) from Trichoderma reesei, and obtained a cold adapted mutant, designated as w-3. DNA sequence analysis indicates that w-3 is a truncated form of native EG III with a deletion of 25 consecutive amino acids at C-terminus. Further examination of enzymatic kinetics and thermal stability shows that mutant w-3 has a higher Kcat value and becomes Fmore thermolabile than its parent. In addition, activation energies of w-3 and wild type EG III calculated from Arrhenius equation are 13.3 kJ · molt-1 and 26.2 kJ · molt-1, respectively. Therefore, the increased specific activity of w-3 at lower temperatures could result from increased Kcat value and decreased activation energy.
Motion Estimation Based on the Partition and Evaluation of the Search Area in H.264/AVC
H.264/AVC中基于搜索区域划分及评估的运动估计

SHEN Zhou,LI Zhengming,PAN Tianhong,
申 舟
,李正明,潘天红

中国图象图形学报 , 2010,
Abstract: Although the search speed of fast motion estimation algorithms such as Three Step Search and Diamond Search is fast, it is easy to trap into local-minimum which caused the false motion vector preditcor. UMHexagons solved the problem well; however, this algorithm is still needed to search too many points and therefore slowed down the search speed. In order to obtain a good balance between search speed and quality performance, this paper proposed PEOSA algorithm.It divided the search area into four part firstly, then evaluated the probability of the best motion vector in every part,and finally searched every part through different search scheme. The experiment results showed that the PEOSA algorithm save more than 43.84% search time compared with UMHexagons; while the averaging PSNR loss was less than 0.017dB for all tested sequences .The new search algorithm holds high value in real time coding and decoding.
Development of a virtual metrology for high-mix TFT-LCD manufacturing processes
半导体混合加工制程的虚拟量测方法

Chen Shan,Pan Tianhong,Jang Shi-Shang,
陈山
,潘天红,郑西显

半导体学报 , 2010,
Abstract: 为提高经济效应,半导体加工制程变得越来越复杂,生产线上同时有不同规格的产品在混合加工,能够同时预测这些规格晶圆的最终品质对提高晶圆的生产良率有着重要的意义。本文针对这种混合制程,提出一种虚拟量测算法,在统计回归的基础上,找出影响制程的关键变量,考虑不同规格晶圆的产品效应,利用共变异数分析算法辨识出虚拟量测模型,线上测试结果表明,本文算法不仅可以精确的预测待加工晶圆的线宽,而且可以用于半导体加工制程晶圆的故障侦测。
Statistical key variable analysis and model-based control for improvement performance in a deep reactive ion etching process
深度反应离子蚀刻过程的统计关键变量分析与推理控制

Chen Shan,Pan Tianhong,Li Zhengming,Jang Shi-Shang,
陈山
,潘天红,李正明,郑西显

半导体学报 , 2012,
Abstract: This paper proposes to develop a data-driven via's depth estimator of the deep reactive ion etching process based on statistical identification of key variables. Several feature extraction algorithms are presented to reduce the high-dimensional data and effectively undertake the subsequent virtual metrology (VM) model building process. With the available on-line VM model, the model-based controller is hence readily applicable to improve the quality of a via's depth. Real operational data taken from a industrial manufacturing process are used to verify the effectiveness of the proposed method. The results demonstrate that the proposed method can decrease the MSE from 2.2×10-2 to 9×10-4 and has great potential in improving the existing DRIE process.
Cold adaptation of a mesophilic cellulase, EG III from Trichoderma reesei, by directed evolution
Cold adaptation of a mesophilic cellulase,EG Ⅲ from Trichoderma reesei,by directed evolution

XIAO Zhizhuang,WANG Pan,QU Yinbo,GAO Peiji,WANG Tianhong,
肖志壮
,王攀,曲音波,高培基,汪天虹

中国科学C辑(英文版) , 2002,
Abstract: Cold-active enzymes have received little research attention although they are very useful in industries. Since the structure bases of cold adaptation of enzymes are still unclear, it is also very difficult to obtain cold-adapted enzymes for industrial applications using routine protein engineering methods. In this work, we employed directed evolution method to randomly mutate a mesophilic cellulase, endoglucanase III (EG III) from Trichoderma reesei, and obtained a cold adapted mutant, designated as w-3. DNA sequence analysis indicates that w-3 is a truncated form of native EG III with a deletion of 25 consecutive amino acids at C-terminus. Further examination of enzymatic kinetics and thermal stability shows that mutant w-3 has a higher K(cat) value and becomes Fmore thermolabile than its parent. In addition, activation energies of w-3 and wild type EG III calculated from Arrhenius equation are 13.3 kJ . mol(t-1) and 26.2 kJ . mol(t-1), respectively. Therefore, the increased specific activity of w-3 at lower temperatures could result from increased K(cat) value and decreased activation energy.
Aero-engine Thrust Estimation Based on Ensemble of Improved Wavelet Extreme Learning Machine
Zhou Jun, Zhang Tianhong
- , 2018, DOI: 10.16356/j.1005-1120.2018.02.290
Abstract: Aero-engine direct thrust control can not only improve the thrust control precision but also save the operating cost by reducing the reserved margin in design and making full use of aircraft engine potential performance. However, it is a big challenge to estimate engine thrust accurately. To tackle this problem, this paper proposes an ensemble of improved wavelet extreme learning machine (EW-ELM) for aircraft engine thrust estimation. Extreme learning machine (ELM) has been proved as an emerging learning technique with high efficiency. Since the combination of ELM and wavelet theory has the both excellent properties, wavelet activation functions are used in the hidden nodes to enhance non-linearity dealing ability. Besides, as original ELM may result in ill-condition and robustness problems due to the random determination of the parameters for hidden nodes, particle swarm optimization (PSO) algorithm is adopted to select the input weights and hidden biases. Furthermore, the ensemble of the improved wavelet ELM is utilized to construct the relationship between the sensor measurements and thrust. The simulation results verify the effectiveness and efficiency of the developed method and show that aero-engine thrust estimation using EW-ELM can satisfy the requirements of direct thrust control in terms of estimation accuracy and computation time.
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