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An Optimal Model based on Multifactors for Container Throughput Forecasting
Shuang Tang,Sudong Xu,Jianwen Gao 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.9
Containerization plays an important role in international trade. Container throughput is a key indicator to measure the development level of a port. In this paper, Lianyungang Port and Shanghai Port are chosen to study the method for container throughput forecasting. Gray model, triple exponential smoothing model, multiple linear regression model, and backpropagation neural network model are established. Five factors are selected as influential factors. They are total retail sales of consumer goods, gross domestic product of the local city, import and export trade volume, total output value of the second industry and total fixed assets investment. The growth and the raw datasets are used in the prediction, respectively. The datasets from 1990 to 2011 are chosen to build models and the ones from 2012 to 2017 are used to assess the performance of the models. By comparison, the backpropagation neural network model is applicable to both Shanghai Port and Lianyungang Port for container throughput forecasting. The volume of container throughput at both ports from 2018 to 2020 is predicted.
Speed-varying path tracking based on model predictive control for autonomous vehicles
Shuang Tang,Jun Li,Wei Zhou 한국자동차공학회 2024 International journal of automotive technology Vol.25 No.2
In order to improve autonomous vehicles path-tracking accuracy and stability, a lateral–longitudinal coordination pathtrackingcontrol method is proposed. The proposed coordination control consists of path-tracking control and speed trackingcontrol. First, the desired safety speed is planned according to the known road curvature and adhesion coeffi cient in orderto prevent the tire force saturation. Based on the three-degree-of-freedom (3DOF) vehicle dynamic model and the previewtracking error model, model predictive control (MPC) theory is adopted to design the speed-varying vehicle path-trackingcontroller. Then, the quadratic programming (QP) method is used to solve the objective function with constraints, whichcalculates the steering angle to control the vehicle track the reference path. In addition, a PID speed controller is designed tocalculate the torque of each wheel to track the desired speed. Finally, according to the yaw rate error and the vehicle slip angleerror, a yaw moment stability controller based on the fuzzy logic control theory is designed to balance the vehicle stabilityand motility. The simulation results based on a Matlab/Carsim platform show that the coordination path-tracking controlmethod proposed in this paper can eff ectively improve the vehicle tracking accuracy and the stability on diff erent roads.
Tang, Shuang-Yan,Le, Quang-Tri,Shim, Jae-Hoon,Yang, Sung-Jae,Auh, Joong-Huck,Park, Cheonseok,Park, Kwan-Hwa Blackwell Publishing Ltd 2006 FEBS JOURNAL Vol.273 No.14
<P>DNA shuffling was used to improve the thermostability of maltogenic amylase from <I>Bacillus thermoalkalophilus</I> ET2. Two highly thermostable mutants, III-1 and III-2, were generated after three rounds of shuffling and recombination of mutations. Their optimal reaction temperatures were all 80 °C, which was 10 °C higher than that of the wild-type. The mutant enzyme III-1 carried seven mutations: N147D, F195L, N263S, D311G, A344V, F397S, and N508D. The half-life of III-1 was about 20 times greater than that of the wild-type at 78 °C. The mutant enzyme III-2 carried M375T in addition to the mutations in III-1, which was responsible for the decrease in specific activity. The half-life of III-2 was 568 min while that of the wild-type was <1 min at 80 °C. The melting temperatures of III-1 and III-2, as determined by differential scanning calorimetry, increased by 6.1 °C and 11.4 °C, respectively. Hydrogen bonding, hydrophobic interaction, electrostatic interaction, proper packing, and deamidation were predicted as the mechanisms for the enhancement of thermostability in the enzymes with the mutations.</P>
Wang, Shuang-Shuang,Guo, Hai-Yan,Dong, Lin-Li,Zhu, Xiang-Qian,Ma, Liang,Li, Wen,Tang, Jian-Xin Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.23
Background: This study aimed to identify any association between the p73 gene G4C14-to-A4T14 polymorphism and risk of non-small cell lung cancer (NSCLC) in the south of China. Materials and Methods: We genotyped the p73 gene polymorphism of peripheral blood DNA from 168 patients with NSCLC and 195 normal controls using HRM (high resolution melting) and PCR-CTPP (polymerase chain reaction with confronting two-pair primers). Results: The results of genotyping by HRM and PCR-CTPP were consistent with direct sequencing, the p73 genotype distribution in 168 lung cancer patients being as follows: GC/GC 101 cases (60.1%), GC/AT 59 cases (35.1%), AT/AT 8 cases (4.8%). The carriers of AT/AT genotype had a significantly reduced risk of NSCLC (OR=0.370; 95%CI: 0.170-0.806; p=0.010) as compared with non-carriers. However, we found no relations between p73 genotypes and histological type (p=0.798, $x^2=0.452$), tumor stage (p=0.806, $x^2=0.806$), or lymph node metastasis (p=0.578, $x^2=1.098$). Conclusions: Our findings suggest that the p73 G4C14-to-A4T14 polymorphism may be a modifier of NSCLC susceptibility in the Chinese population.
Tang Xincheng,Niu Shengli,Zhao Shuang,Zhang Xiangyu,Li Ximing,Yu Hewei,Lu Chunmei,Han Kuihua 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.77 No.-
The carbon-based heterogeneous acid catalyst is synthesized from bituminous coal through the partialcarbonization and sulfonation method and applied to catalyze the esterification of oleic acid withmethanol for biodiesel production. Various characterization methods are used to explain catalyticfeatures and molecular simulation is conducted to analyze the promoted mechanism of acid catalyst inesterification. Carbon catalyst, prepared by partially carbonized at 350 C and sulfonated at 105 C,catalyzes esterification with biodiesel yield of 98.70%. Transition state analysis implies that acid catalystreduces the activation energy through providing proton to promote esterification.
Tang Bo,Chen Bin,Zhao Zhibin,Xiao Zheng,Wang Shuang 대한전기학회 2015 Journal of Electrical Engineering & Technology Vol.10 No.3
The resonant mechanism of reradiation interference (RRI) over 1.7MHz from power transmission lines cannot be obtained from IEEE standards, which are based on researches of field intensity. Hence, the resonance is ignored in National Standards of protecting distance between UHV power lines and radio stations in China, which would result in an excessive redundancy of protecting distance. Therefore, based on the generalized resonance theory, we proposed the idea of applying model-based parameter estimation (MBPE) to estimate the generalized resonance frequency of electrically large scattering objects. We also deduced equation expressions of the generalized resonance frequency and its quality factor Q in a lossy open electromagnetic system, i.e. an antennatransmission line system in this paper. Taking the frequency band studied by IEEE and the frequency band over 1.7 MHz as object, we established three models of the RRI from transmission lines, namely the simplified line model, the tower line model considering cross arms and the line-surface mixed model. With the models, we calculated the scattering field of sampling points with equal intervals using method of moments, and then inferred expressions of Pade rational function. After calculating the zero-pole points of the Pade rational function, we eventually got the estimation of the RRI’s generalized resonant frequency. Our case studies indicate that the proposed estimation method is effective for predicting the generalized resonant frequency of RRI in medium frequency (MF, 0.3~3 MHz) band over 1.7 MHz, which expands the frequency band studied by IEEE.
Wang, Shuang,Zhang, Yuchen,Dai, Wenrui,Lauter, Kristin,Kim, Miran,Tang, Yuzhe,Xiong, Hongkai,Jiang, Xiaoqian Oxford University Press 2016 Bioinformatics Vol.32 No.2
<P>Motivation: Genome-wide association studies (GWAS) have been widely used in discovering the association between genotypes and phenotypes. Human genome data contain valuable but highly sensitive information. Unprotected disclosure of such information might put individual's privacy at risk. It is important to protect human genome data. Exact logistic regression is a bias-reduction method based on a penalized likelihood to discover rare variants that are associated with disease susceptibility. We propose the HEALER framework to facilitate secure rare variants analysis with a small sample size. Results: We target at the algorithm design aiming at reducing the computational and storage costs to learn a homomorphic exact logistic regression model (i.e. evaluate P-values of coefficients), where the circuit depth is proportional to the logarithmic scale of data size. We evaluate the algorithm performance using rare Kawasaki Disease datasets.</P>
Bo, Tang,Bin, Chen,Zhibin, Zhao,Zheng, Xiao,Shuang, Wang The Korean Institute of Electrical Engineers 2015 Journal of Electrical Engineering & Technology Vol.10 No.3
The resonant mechanism of reradiation interference (RRI) over 1.7MHz from power transmission lines cannot be obtained from IEEE standards, which are based on researches of field intensity. Hence, the resonance is ignored in National Standards of protecting distance between UHV power lines and radio stations in China, which would result in an excessive redundancy of protecting distance. Therefore, based on the generalized resonance theory, we proposed the idea of applying model-based parameter estimation (MBPE) to estimate the generalized resonance frequency of electrically large scattering objects. We also deduced equation expressions of the generalized resonance frequency and its quality factor Q in a lossy open electromagnetic system, i.e. an antenna-transmission line system in this paper. Taking the frequency band studied by IEEE and the frequency band over 1.7 MHz as object, we established three models of the RRI from transmission lines, namely the simplified line model, the tower line model considering cross arms and the line-surface mixed model. With the models, we calculated the scattering field of sampling points with equal intervals using method of moments, and then inferred expressions of Padé rational function. After calculating the zero-pole points of the Padé rational function, we eventually got the estimation of the RRI’s generalized resonant frequency. Our case studies indicate that the proposed estimation method is effective for predicting the generalized resonant frequency of RRI in medium frequency (MF, 0.3~3 MHz) band over 1.7 MHz, which expands the frequency band studied by IEEE.