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Short-term wind power prediction based on CEEMDAN-GRA-PCC-ATCN Xinzhang WU,Xiangyu LIANG,Hongyu ZHU,Dongdong ZHANG Journal of Shandong University(Engineering Science)    2022, 52 (6): 146-156.   DOI: 10.6040/j.issn.1672-3961.0.2022.242 Abstract （1160）   HTML （5）    PDF（pc） （6481KB）（2370）       Knowledge map    Save To improve the accuracy of wind power prediction, a short-term wind power prediction method based on data decomposition and input variable selection was proposed. The complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) was used to decompose the original wind power and wind speed data, and smooth data fluctuation to extract internal hidden information. The wind power components were simplified and reconstructed by permutation entropy (PE) algorithm to reduce the model complexity. To enhance the correlation between the input variables and wind power, eliminate redundant information and reduce the dimensionality of the input data, the Pearson correlation coefficient (PCC) and gray relation analysis (GRA) were combined to select the input variables for each reconstructed wind power component. The attention-based temporal convolutional network was used to predict the reconstructed power components, and the predicted values were superimposed to obtain the final result. The experimental results showed that the short-term wind power prediction method based on CEEMDAN-GRA-PCC-ATCN could extract more internal key information of wind power data, reduce the dimension of input data, strengthen the correlation between input variables and wind power, and effectively improve the prediction accuracy. Table and Figures | Reference | Related Articles | Metrics

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Review and prospect of the development of heat exchanger structure Wenjing DU,Junzhe ZHAO,Lixin ZHANG,Zhan WANG,Wanxiang JI Journal of Shandong University(Engineering Science)    2021, 51 (5): 76-83.   DOI: 10.6040/j.issn.1672-3961.0.2020.423 Abstract （3645）   HTML （236）    PDF（pc） （4892KB）（3912）       Knowledge map    Save The development of heat exchanger for more than 200 years was introduced. The generation and typical applications of heat exchangers with different structures were reviewed. Four heat exchangers with different structures including shell-and-tube heat exchanger, plate heat exchanger, microstructure heat exchanger, and printed circuit heat exchanger were described emphatically, and the development work of related geometric parameter optimization and structure improvement was carried out to realize heat transfer enhancement. The existing problems and limitations in the structure design of the heat exchanger were analyzed, and the specific suggestions and development trends for the structure improvement of the heat exchanger in the future were proposed. Table and Figures | Reference | Related Articles | Metrics

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Fast 4-points congruent sets for coarse registration of 3D point cloud Shiguang LIU,Hairong WANG,Jin LIU Journal of Shandong University(Engineering Science)    2019, 49 (2): 1-7.   DOI: 10.6040/j.issn.1672-3961.0.2018.244 Abstract （3160）   HTML （150）    PDF（pc） （6934KB）（2599）       Knowledge map    Save In order to solve the problem that the 4-points congruent sets (4 PCS) method suffered from low computational efficiency and high registration errors when the overlap rate of two pieces of input point clouds was low, fast 4-points congruent sets (F-4PCS) was put forward. A new method for selecting four-point basis was presented. The source point cloud and target point cloud were given, their boundaries were separately extracted and extended as the boundary feature bands, and then a consistent four-point basis set was chosen from the boundary feature bands. This method could avoid some unnecessary iterations. By limiting the characteristics of the four-point basis, the invalid four-point basis was removed, it could reduce the verification time of the algorithm and improve the computational efficiency. Experiments results carried out on the relevant data sets showed that the F-4PCS method was more efficient than conventional 4PCS method in the case of low overlap rate of input point clouds and the registration success rate was higher than state-of-the-arts. Table and Figures | Reference | Related Articles | Metrics

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Calibration of micro-parameters of parallel bonded model for rocks JIANG Mingjing, FANG Wei, SIMA Jun JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2015, 45 (4): 50-56.   DOI: 10.6040/j.issn.1672-3961.0.2014.183 Abstract （2191）      PDF（pc） （2117KB）（3726）       Knowledge map    Save The micro-parameters of parallel bond model could not satisfy the compressive strength and tensile strength simultaneously, this was a problem in the simulation of rocks. A set of uniaxial tension tests and uniaxial compression tests of rocks were simulated to investigate this problem. First, DEM specimens with different porosity ratio and different nonuniform coefficient were calibrated according to the laboratory test results of Lac du Bonnet granite. Second, the deficiency of the parallel bond model was pointed out and the improved methods were proposed from the perspective of microscopic failure mechanism. The simulation results showed that the microscopic parameters satisfied tension strength was one order of magnitude deviated from the microscopic parameters, which could also satisfy compression strength. Tensile characteristics and shear characteristics were considered in the parallel bond model, while the influence of normal stress on the bond was ignored. This was the reason that the tension-compression strength ratio of rock was different from the experimental result. It was advised to use clumped particle model which could simulate particle breakage or cementation model based on laboratory tests. Reference | Related Articles | Metrics

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Preparation of SiO2-ZrO2 compound high temperature adhesive HE Zhao-pin, SHI Yuan-chang*, SUN Li-bo, LI Bo, YUAN Ye, LIU Jiu-rong JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2013, 43 (1): 104-108.   Abstract （864）      PDF（pc） （1766KB）（4250）       Knowledge map    Save In order to improve the high temperature resistant performance of traditional silicate inorganic adhesive, the new-type compound high temperature adhesive was prepared by sol-gel method with tetraethyl orthosilicate and zirconium oxychloride. Its thermal stability and bonding performance were studied by characterizing the structure, phase composition, heat change and appearance. The results showed that pH was of great influence on the sol-gel reaction process, and the optimal pH was 3. The preparation methods had obvious influence on the microstructure of SiO2-ZrO2 compound adhesive. Dispersion method was better than the in situ synthesis method for preparing the compound adhesive. The molar ratio of raw materials was an important influencing factor on the performance of the compound adhesive. The SiO2-ZrO2 compound adhesive could provide good bonding performance and good thermal stability when the Si-Zr molar ratio was 1∶3. Related Articles | Metrics

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Comparison and analysis on measure indexes for structural hole nodes in social network HAN Zhongming, WU Yang, TAN Xusheng, LIU Wen, YANG Weijie JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2015, 45 (1): 1-8.   DOI: 10.6040/j.issn.1672-3961.1.2014.120 Abstract （2936）      PDF（pc） （2601KB）（3700）       Knowledge map    Save In order to analyze different factors that affected structural holes measurement in social networks, seven existing methods to measure structural hole nodes were analyzed. Four groups of 12 simulated networks were built. Measure indexes for structural hole nodes were deeply and overall analyzed and compared in the simulated network, which were testified and analyzed in social network of Renren websites. The experimental results showed that seven existing methods perform poorly on identifying the structural hole nodes and some methods were highly correlated. Among these seven methods, betweenness centrality was relatively more effective. Reference | Related Articles | Metrics

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Unit commitment considering alternating current power flow constraints PAN Zhi-yuan1, HAN Xue-shan1*, LIU Chao-nan2 JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2012, 42 (2): 130-137.   Abstract （750）      PDF（pc） （1230KB）（2884）       Knowledge map    Save With the parallel development of  distributed generation technology and  large power grid technology, a great amount of renewable energy generation was introduced to the electrical power grid. Under this circumstance, a unit commitment model was established by considering the constraints of transmission safety using AC(alternating current) power flow.  This model also involved reactive and voltage constraints, as well as safe operation limits of generators. According to the Benders decomposition, the model was decomposed into a master problem and a sub-problem. The master problem could solve the unit commitment without AC constraints, and then the sub-problem could check the AC constraints according to the result of the master problem. Benders cuts might develop from the sub problem, and the cuts would form additional associated constraints, which could connect the master problem and the sub problem. Simulation results of modified IEEE-14 buses case proved that the proposed method could effectively solve unit commitment problems with constraints of AC power flow. Related Articles | Metrics

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The adaptive neighborhood selection strategy of the parallel Clarke-Wright algorithm FU Lian-ning1, CUI Wen2, ZENG Hua1 JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2012, 42 (1): 72-80.   Abstract （766）      PDF（pc） （1472KB）（2945）       Knowledge map    Save In order to improve the operation efficiency of the parallel saving algorithm, the reasonable neighborhood selection strategy and data structure were  used to reduce the space and time complexity of the algorithm. A new scheme of the adaptive neighborhood selection strategy was adopted to improve the rationality of neighborhood selection through optimizing the neighborhood radius and data structure, with the data dimensions and customer distribution condition of VRP as the breakthrough point with comprehensive consideration of the relationship among the neighborhood range of the customer, distance, dimensions and distribution. Comparing the proposed scheme with other non-adaptived schemes, the results showed that the former had obvious advantages on concentrated VRP by significantly reducing computation time and storage space while guaranteeing the operation quality. Taking the rl5915 as an example, its operation time was 50％ less than other non-adaptived strategies. Theory research and experimental results showed that adaptive neighborhood selection strategy could  improve the operation efficiency of the saving algorithm. Related Articles | Metrics

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Fault diagnosis and fault-tolerant control methods of X-tail UAV DENG Junwu, ZHANG Yumin, ZHANG Hongdi, DU Xiaokun JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2017, 47 (5): 166-172.   DOI: 10.6040/j.issn.1672-3961.0.2017.195 Abstract （1755）      PDF（pc） （4281KB）（2707）       Knowledge map    Save Actuators are the key agency of the UAV. For fault detection and fault diagnosis purpose of problems such as the dead, gain loss and deviation of the actuator, the fault detection filter and Kalman filter were presented in this contribution. The residual vector with actuator fault information was output by using the detection filter, then the threshold detection and residual direction characteristics were used to detect and isolate the fault. After the fault alarm, the Kalman filter was used to estimate the fault parameters, and the nature and extent of the fault were obtained. According to the different forms of fault, the method of control command compensation or reconstruction was finally used for fault-tolerant control purpose. Based on the turning rate model of the X-tails UAV, simulation test showed that the fault diagnosis method was effective and feasible, which could rapidly obtain the fault information, and the fault-tolerant strategy could well restore the system performance. Reference | Related Articles | Metrics

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Design of self-adaptive sliding mode controller with finite time convergence ZHAO Zhan-shan1,2, ZHANG Jing3, SUN Lian-kun, DING Gang1 JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2012, 42 (4): 74-78.   Abstract （942）      PDF（pc） （1345KB）（3408）       Knowledge map    Save A new self-adaptive sliding mode controller algorithm was proposed for a class of uncertain nonlinear systems with unknown but bounded uncertainties. The proposed solution  could stabilize the status of these systems in finite time by using geometric homogeneity and integral sliding mode control. In order to solve system uncertainties with unknown but bounded, the corresponding adaptation law was developed to evaluate the gain of the controller. The theoretic analysis based on Lyapunov theory proved that the systems with the proposed controller could be stabilized in finite time. Simulation results showed that the proposed adaptive sliding mode controller could achieve better robustness and adaptation against uncertainties. Related Articles | Metrics

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Integrated acquisition method of adverse geology and rock properties ahead of tunnel face in TBM construction tunnel LIU Bin, LI Shucai, LI Jianbin, WANG Yujie, ZHANG Jianqing, NIE Lichao, WANG Xueliang JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2016, 46 (6): 105-112.   DOI: 10.6040/j.issn.1672-3961.0.2016.478 Abstract （1638）   HTML    PDF（pc） （3283KB）（1338）       Knowledge map    Save TBM construction tunnel was easily hampered by hazard and accidents like water inrush, collapse and TBM jam, in the occurrence of faults, fractured zone and karstic area, which could cause the losing of TBM excavation efficiency and delay the tunnel construction. It was because of the complex environment in TBM construction tunnel that the adverse geology and rock properties was hard to be acquired. To solve the problem, a solving methodology was put forth based on geological prospecting and rock property estimation. The methodology was consisted of ahead geological prospecting by using geophysical methods and rock properties estimation based on the relationship between the rock properties 山 东 大 学 学 报 (工 学 版)第46卷 - 第6期刘斌,等:TBM掘进前方不良地质与岩体参数的综合获取方法 \=-and TBM machine data. In this methodology, the 3D seismic prospecting method was used to identify and locate the faults, fractured zone or karst cave ahead of the tunnel face. The 3D IP method was used to prospect the water bearing geological structure ahead of tunnel face. In addition, the rock properties were estimated by means of machine learning. The uniaxial compression strength of the surrounding rocks was estimated using data mining. Based on three methods mentioned above, an integrated acquisition method and its procedure of adverse geology and rock properties were proposed. With the test and verification in the field case of a project, the proposed methodology was proved to be feasible and could provide reasonable reference for TBM excavation. Reference | Related Articles | Metrics

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Design of highperformance CML ternary D flipflop based on BiCMOS ZHAO Xiang-hong1, 2, SHEN Ji-zhong2* JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2013, 43 (3): 99-104.   Abstract （916）      PDF（pc） （1850KB）（2680）       Knowledge map    Save A simple-structure high-performance CML ternary D flip-flop based on BiCMOS was proposed, which combined both advantages of BiCMOS and CML circuits, and included high-speed and strong drive ability of BiCMOS circuits and high speed low swing and low noise of CML circuits. Using TSMC 180nm process, the results of simulations carried out by HSPICE illustrated that the proposed circuit could not only have correct logic function, but also gain improvements of 95.6％-98.4％ in average D-Q delay and 16.2％-96.8％ in PDP compared with the advanced ternary D flip-flops. Furthermore, the work frequency  could perform up to 15GHz. All of the results proved that the proposed circuit was suitable for high-speed and high-frequency applications. Related Articles | Metrics

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Design pattern classification mining with feature metrics constraints Zhuoyu XIAO,Pei HE,Guo CHEN,Yunbiao XU,Jie GUO Journal of Shandong University(Engineering Science)    2020, 50 (6): 48-58.   DOI: 10.6040/j.issn.1672-3961.0.2020.229 Abstract （1153）   HTML （27）    PDF（pc） （1397KB）（990）       Knowledge map    Save To solve low accuracy for design pattern mining, a method for design pattern classification mining with feature metrics constraints was presented. 47 feature metrics information based on structural pattern, behavioral pattern and creative pattern was classified and summarized, and definition of design pattern were given, and features of design patterns were described, three benchmark systems and four well-known system experiments for design pattern mining were designed. Experimental results show that proposed method is effective, and the accuracy of the proposed method was 96.13%, 91.67%, 72.23% for Adapter pattern. Command pattern and Factory method pattern for three benchmark systems, and the accuracy of the proposed method is 84.3%, 81.26%, 73.17% for Adapter, Command and Factory Method of design pattern for four well-known systems, compared to well-known methods by experiment of design pattern mining, indicating the effectiveness of the proposed method. Table and Figures | Reference | Related Articles | Metrics

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The influence of grouting pressure and diffusion features of different grouting materials PENG Rongrong, YU Wensheng JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2017, 47 (3): 119-124.   DOI: 10.6040/j.issn.1672-3961.0.2016.383 Abstract （1721）      PDF（pc） （1980KB）（1574）       Knowledge map    Save A new grouting simulation device was developed to study the influence of property of grout slurry on grouting pressure and slurry diffusion. This device substituted overall filling and compaction of soil of layer-compacting to avoid the occurring of interlinear interface. Thus the influence of interlinear interface on slurry diffusion could be decreased. Grouting pressure and slurry diffusion of sodium carboxymethyl cellulose solution, simulating Newtonian slurry, cement slurry and cement-silicate slurry were studied by simulation experiment, and then validated by theoretical analysis. The results showed that property of grout slurry had remarkable influences on change laws of grouting pressure and splitting feature. Slurry diffusion pattern could be abstained by analyzing the change laws of grouting pressure in combination with splitting feature. Reference | Related Articles | Metrics

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Transfer fuzzy clustering based on self-constraint of multiple medoids Jun QIN,Yuanpeng ZHANG,Yizhang JIANG,Wenlong HANG Journal of Shandong University(Engineering Science)    2019, 49 (2): 107-115.   DOI: 10.6040/j.issn.1672-3961.0.2018.458 Abstract （1379）   HTML （7）    PDF（pc） （1725KB）（965）       Knowledge map    Save Transfer clustering approaches derived from the fuzzy C-means (FCM) framework, which considered virtual centers from source domains as transfer knowledge, inherited the shortcomings of FCM. These methods were not robust to outliers and noises, and whose single cluster centers were not sufficient enough to capture the inner structures of clusters. To solve the problems, a transfer fuzzy clustering approach was proposed based on the self-constraint of multiple medoids. Prototype weights were introduced and assigned to each object to capture the inner structures of clusters. Such a weighting strategy could capture the inner structures of clusters more sufficiently and made the clustering more robust to outliers and noises; Furthermore, with the distribution of data in the source domain, the inner structure of data in the target domain was reconstructed, and the corresponding new structure was considered as the transfer knowledge to guide the clustering of the target domain. Relative to the use of single virtual center of each cluster as transfer knowledge, the updated inner structures of data in the target domain contained more knowledge. Experimental results demonstrated that the proposed approach achieved 0.674 5 and 0.608 4 improvements in terms of NMI and ARI on synthetic datasets and real-life datasets compared with introduced benchmarking approaches. Therefore, based on the transfer principle of the self-constraint of multiple medoids, the proposed clustering approach performed well in the transfer environment. Table and Figures | Reference | Related Articles | Metrics

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Small sample person re-identification combining Gabor features and convolution features FU Guixia, ZOU Guofeng, MAO Shuai, PAN Jinfeng, YIN Liju Journal of Shandong University(Engineering Science)    2021, 51 (3): 22-29.   DOI: 10.6040/j.issn.1672-3961.0.2020.232 Abstract （1171）      PDF（pc） （6150KB）（991）       Knowledge map    Save In the video surveillance, the limited available person images and unreliable data annotation led to the performance degradation of supervised person re-identification. To solve these problems, we proposed an unsupervised small sample person re-identification method that integrated Gabor features and convolution features. Gabor transform was used to extract multi-scale and multi-direction person texture and edge information, so as to realize the data augmentation of small sample person images in feature level. The redundant information was eliminated by feature encoding to improve the efficiency of feature similarity calculation. The convolutional auto-encoder network was adopted to extract the nonlinear deep convolution feature of pedestrian, which avoided the dependence of supervised learning algorithm on data annotation. The fusion of two heterogeneous features was applied to person similarity comparison, which implemented the feature augmentation of small samples and the improvement of person feature discrimination ability. Experiments were implemented based on Market-1501 and DukeMTMC-reID datasets, the rank-1 accuracy reached 74% and 67.1% respectively. The experimental results showed that the proposed network framework effectively improved the performance of small sample person re-identification. Reference | Related Articles | Metrics

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A survey of image captioning methods based on deep learning Zhifu CHANG,Fengyu ZHOU,Yugang WANG,Dongdong SHEN,Yang ZHAO Journal of Shandong University(Engineering Science)    2019, 49 (6): 25-35.   DOI: 10.6040/j.issn.1672-3961.0.2019.244 Abstract （4483）   HTML （125）    PDF（pc） （7881KB）（2206）       Knowledge map    Save Image captioning is the cross-research direction of computer vision and natural language processing. This paper aimsed to summarize the deep learning methods in the field of image captioning. Imgage captioning methods based on deep learning was summarized into five categories: multimodal space based method, multi-region based method, enconder-deconder based method, reinforcement learning based method, and generative adversarial networks based method.The datasets and evaluation metrics were demonstrated, and experimental result of different methods were compared. The three key problems and future research direction for image captioning were presented and summarized. Table and Figures | Reference | Related Articles | Metrics

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Bound gait controlling method of quadruped robot MENG Jian, LI Yibin, LI Bin JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2015, 45 (3): 28-34.   DOI: 10.6040/j.issn.1672-3961.0.2014.328 Abstract （2649）      PDF（pc） （3687KB）（2487）       Knowledge map    Save Aiming at the problem of running control of quadruped robot, a running control method based on bound gait was proposed. The bound gait of the quadruped robot was implemented by fast and small range swing motion of the legs. A finite state machine was used to separate one complete cycle of motion into six stages, three stages for fore legs and three for hind legs respectively. In contact and buffering stage, vertical spring-damper model was used; in thrust stage, virtual model was used to adjust the thrust direction of the legs; and in swing stage, Bezier curve was used to plan the trajectory of the toes. By constructing a virtual model with the same size and mass with the hydraulic driven quadruped robot SCalf-II in the dynamics simulation software, the control method was verified and tested, simulation results showed that the robot came into a cyclic bounding motion with strong periodicity after five periods, the speed vibration in forward direction was small, the joint range of motion, speed and torque were all within the range of the design objective of SCalf-II, which verified the correctness and effectiveness of the proposed method. Reference | Related Articles | Metrics

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Synthesis and release behavior of emodin intercalated into Mg-Zn-Al layered double hydroxide DAI Xiao-nan, WANG Qi-peng*, ZHU Zheng, DUAN Ran-ran JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2012, 42 (1): 127-132.   Abstract （619）      PDF（pc） （1654KB）（2074）       Knowledge map    Save The drug emodin was first intercalated into the layers of Mg-Zn-Al layered double hydroxides (Mg-Zn-Al-LDHs) by the re-assemble method. The emodin／LDHs nanohybrids could be used to extend the action duration and reduce the side effect of emodin. Then the effect of the temperature T and the mass ratio R of emodin to LDHs on drug loading were discussed. The XRD spectra indicated that the interlayer distance of Mg-Zn-Al-LDHs increased from 0.48 nm to 3.42 nm with the increase of drug loading. The determination results of the drug release showed that the drug release rate from the emodin／LDHs nanohybrids was much slower than that of the corresponding physical mixture with the pH of solution of either 4.8 or 7.5. Analysis showed that the mechanism of the pH 7.5 release was primarily through ion-exchange with the ions in the buffer solution, while that of the pH4.8 release was primarily through the dissolution of LDHs. Related Articles | Metrics

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Head detection algorithm based on mathematical morphology and HSI color space ZHAO Jun-wei1, HOU Qing-tao2, LI Jin-ping3, PENG Bo4 JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2013, 43 (2): 6-10.   Abstract （930）      PDF（pc） （1630KB）（4039）       Knowledge map    Save   An approach of head detection was proposed to meet the requirement of the reducing people counting time in real-time video monitoring. A hair color model was established in HSI color space, and the image binarization was processed by considering the range of hair gray-level. The mathematical morphology dilation and erosion preprocessing algorithm was presented. Then, dilation and erosion algorithm was used again after image edge detection in order to get several candidate areas. At last, the geometrical characteristics of contour were used to judge whether these areas head or not. Experimental results showed that this algorithm was fast and effective, which could meet the real-time needs of intelligent video surveillance. Related Articles | Metrics

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Effects of reaction conditions on the size distribution of iron phosphate LUO Yanhua, SHE Shijie, CAO Weiguo, PAN Feng JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2015, 45 (1): 82-87.   DOI: 10.6040/j.issn.1672-3961.0.2014.196 Abstract （2202）      PDF（pc） （2232KB）（1682）       Knowledge map    Save The process parameters of preparing iron phosphate in ethanol system were optimized by the method of orthogonal experiment. The results showed that the influencing order of the parameters affecting the particle size distribution of iron phosphate was ethanol addition rate, reaction temperature and stirring speed. The ethanol adding speed was the key factor to influence the size distribution of iron phosphate. When the addition of ethanol was 40 L/min, the reaction temperature was 90 ℃ and the stirring speed was 60 r/min, the d50 of iron phosphate was 0.73 μm. When the addition of ethanol was 10 L/min, the reaction temperature was 50 ℃ and the stirring speed was 120 r/min, the d50 of iron phosphate was 2.10 μm. The physical-chemical indicators of iron phosphate were charaterized by SEM, BET and XRF. When d50 was 0.73 μm, the BET of iron phosphate was larger than 60 m2/g. When d50 was 2.10 μm, the BET of iron phosphate was approximately 45 m2/g. The molar ratio of P and Fe of two kinds of iron phosphate was about 1:1. The content of sulfur was relatively high, when the particle size of iron phosphate was smaller. Reference | Related Articles | Metrics

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Synergetic physical-cyber simulation platform for global energy interconnection CHU Xiaodong, ZHANG Rongxiang, HUANG Haoyi, TANG Maosen JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2016, 46 (4): 103-110.   DOI: 10.6040/j.issn.1672-3961.0.2016.220 Abstract （2066）   HTML    PDF（pc） （3204KB）（1603）       Knowledge map    Save The coupling mechanisms between physical and cyber systems of the global energy interconnection were explained briefly. The structural characteristics, simulation requirements, and associated tools were compared for multiple levels of energy networks. A synergetic physical-cyber simulation platform was constructed for the decentralized load control scenarios. The simulation results reflected the great impact of communication environment on the load control effects, which could be correctly modelled by the synergetic simulation platform. Reference | Related Articles | Metrics

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Thermal calculation method for quad-sectional regenerative air preheater CHEN Changxian, SUN Fengzhong, LI Fei, WU Yanyan JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2014, 44 (4): 58-63.   DOI: 10.6040/j.issn.1672-3961.0.2013.360 Abstract （2231）      PDF（pc） （1710KB）（2476）       Knowledge map    Save A new thermal calculation model for quad-sectional regenerative air preheater was investigated based on the analysis of operating mode and heat transfer characteristics of quad-sectional air preheaters. The model included two calculating steps: the average outlet flue gas temperature and the weighted average outlet air temperature were obtained through the first step calculation; and based on the first step calculation results, the average outlet air temperatures were obtained in right-secondary airside, primary air side and left-secondary airside respectively by the second step calculation. The results showed that the maximum and minimum relative deviations between calculated values and design values were 2.27% and 0.21% respectively. For a 300 MW circulating fluidized bed boiler unit with quad-sectional air preheater, the maximum and average relative deviations between calculated values and actual operation data were 4% and 1.8% respectively, the accuracy and reliability of this thermal calculation model were verified. Reference | Related Articles | Metrics

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Model of contact angle of hydrophobic surface based on minimum Gibbs free energy SONG Hao, LIU Zhanqiang, SHI Zhenyu, CAI Yukui JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2015, 45 (2): 56-61.   DOI: 10.6040/j.issn.1672-3961.0.2014.272 Abstract （1894）      PDF（pc） （1432KB）（2445）       Knowledge map    Save Based on the function of Young used for smooth surface and the model of Cassie-Baxter used for rough surface, the prediction model for contact angle of hydrophobic surface based on minimum Gibbs free energy was proposed. The model for contact angle prediction was then modified by considering the influence of skew walls on the contact line between gas-liquid. The effects of hydrophobic surface material properties and geometric parameters on contact angle were analyzed based on the modified model. The results showed that, under the same condition of machined micro-surface, the contract angle on the hydrophobic surface root was larger than that on the hydrophilic one. Besides, for the Cassie-Baxter model, the larger radio between the width of groove and the width of convex was, the larger contract angle was. Reference | Related Articles | Metrics

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Numerical simulation of compaction effect during pile jacking in sand based on the coupled Eulerian-Lagrangian method HAN Chao, WANG Tong, CHEN Dewen, SUN Enci, LI Ping, WU Zexiang, ZHOU Chong, ZHUANG Peizhi Journal of Shandong University(Engineering Science)    2024, 54 (2): 143-152.   DOI: 10.6040/j.issn.1672-3961.0.2023.050 Abstract （361）      PDF（pc） （8077KB）（413）       Knowledge map    Save Reference | Related Articles | Metrics

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An improved adaboost algorithm based on new Haar-like feature for face detection JIANG Weijian1,2, GUO Gongde1,2*, LAI Zhiming1,2 JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    DOI: 10.6040/j.issn.1672-3961.1.2013.003

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First-principles study of electronic and optical properties of Mn-doped cubic ZrO2 ZHANG Yufen, HOU Zhitao, REN Hao, ZHAO Shuai, WANG Cheng JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2014, 44 (4): 84-89.   DOI: 10.6040/j.issn.1672-3961.9.2014.001 Abstract （1301）      PDF（pc） （1553KB）（1601）       Knowledge map    Save First-principles calculations based on DFT+U were performed on electronic and optical properties of Mn-doped cubic ZrO2. When Zr was replaced by Mn in cubic ZrO2, the density of states spectra showed that a band gap reduction was observed and an obvious increase at the top of valence band could make the width of valence band broader by about ～5%. In the majority spin, the states near the Fermi level were attributed to Mn 3 d states with a strong admixture of O 2p states, which resulted in a half-metallic ferromagnetism behavior of the system and may be the reason to cause the band gap reduction. By Mn doping, it found that there was an obvious increase of refractive index, and there was also a new steep absorption peak at lower energy region around 2.8 eV, which could be used for photo absorption applications. The ferromagnetism in Mn-doped system was explained by Zener's double exchange mechanism for ferromagnetism as in other compounds, and the probable relations between electronic structure and optical properties were also found out. Reference | Related Articles | Metrics

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Study on topological characteristics and node centrality of high-speed railway complex network Fengbo LAI,Bing XU,Ying XU,Lei ZHANG,Yirong SUN Journal of Shandong University(Engineering Science)    2022, 52 (6): 14-22.   DOI: 10.6040/j.issn.1672-3961.0.2022.214 Abstract （1342）   HTML （32）    PDF（pc） （4976KB）（535）       Knowledge map    Save Taking the main representative cities in China as the research object, this study analyzed the characteristics and topological characteristics of high-speed railway network, and identifies node cities and their functions in high-speed railway network. The Space-P method was used to build a high-speed network model, and the complex network theory and Pajek analysis software were used to analyze the topological structure and node centrality of of China′s high-speed rail network from the aspects of degree values, average path length, aggregation coefficient and node city centrality. The results showed that China′s high-speed rail network highly aggregated and connected as a whole, the eastern, central and coastal cities showed high aggregation, while the western cities had low high-speed rail network connectivity and weak aggregation. High-speed rail network had the characteristics of a small world, any two nodes could be connected by a small number of transit times, and a few cities need three transit times to be connected. In the high-speed rail network, the cities with large degree values were mainly concentrated in the east, central and coastal regions of China, while the cities in the west and northeast regions had less degree values and large degree centrality, and their proximity centrality was also large. Cities with smaller degree value and greater intermediate centrality had stronger transit ability. Table and Figures | Reference | Related Articles | Metrics

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A microblog rumor events detection method based on C-GRU Lizhao LI, Guoyong CAI, Jiao PAN Journal of Shandong University(Engineering Science)    2019, 49 (2): 102-106.   DOI: 10.6040/j.issn.1672-3961.0.2018.189 Abstract （2644）   HTML （49）    PDF（pc） （1249KB）（1462）       Knowledge map    Save A microblog rumor events detection model based on convolution-gated recurrent unit(C-GRU) was proposed. Combining the advantages of CNN and GRU, the microblog event′s posts was vectorized. By learning the features representation of the microblog windows through the convolution layer of CNN, the features of microblog windows was spliced into a sequence of window feature according to the time order, and the sequence of window feature was put into the GRU to learn feature representation of sequence for rumor events detection. Experimental results from real data sets showed that this model had better ability to rumor detection than other models based on traditional machine learning, CNN or RNN. Table and Figures | Reference | Related Articles | Metrics

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An improved algorithm of maximal information coefficient based on dynamic equipartition Yanxia MENG,Yuchen GUO,Li WANG Journal of Shandong University(Engineering Science)    2019, 49 (5): 105-111.   DOI: 10.6040/j.issn.1672-3961.0.2018.209 Abstract （1914）   HTML （11）    PDF（pc） （2337KB）（1033）       Knowledge map    Save In order to solve the problem of high computational time complexity of the maximal information coefficient algorithm, an improved algorithm of the maximal information coefficient(MIC) based on dynamic equipartition was presented. The scattered points shown in the grid were iterated and optimized by using dynamic mean division pairs of variables. The obtained mutual information entropy was regularized to obtain the optimal MIC value, and the multi-thread computation of the data set was carried out by using the POSIX parallel strategy, which made the computation more efficient in the computation of large data sets. Compared with the RapidMIC method on multiple data sets, the DE-MIC algorithm was faster and more efficient under the premise of preserving the generality and equitability of the maximal information coefficient algorithm. Table and Figures | Reference | Related Articles | Metrics

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Two-stage semi-supervised clustering algorithm based on affinity propagation ZHANG You-xin, WANG Li-hong JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2012, 42 (2): 18-22.   Abstract （937）      PDF（pc） （1012KB）（1855）       Knowledge map    Save The affinity propagation clustering algorithm(AP) is sensitive to the preference value, and it is difficult  to find the optimal preference value. 2SAP, a two-stage semisupervised clustering algorithm based on AP, was proposed to overcome this limitation. Semisupervised clustering based on affinity propagation (SAP) was used to cluster the whole dataset and obtain the exemplar set, and then the SAP was used again to cluster the exemplar set to find the final clusters. Experimental results on real data sets showed that the 2SAP was better than SAP and PSAP in terms of CRI and FCRI, and the lower coefficients of dispersion illustrated that 2SAP was less sensitive to the preference value. Related Articles | Metrics

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Importance identification method based on multi-order neighborhood hierarchical association contribution of nodes Gang HU, Lemeng WANG, Zhiyu LU, Qin WANG, Xiang XU Journal of Shandong University(Engineering Science)    2024, 54 (1): 1-10.   DOI: 10.6040/j.issn.1672-3961.0.2022.390 Abstract （400）   HTML （12）    PDF（pc） （5411KB）（454）       Knowledge map    Save In order to identify the node importance more finely and extend the scope and category of effective information gathering of nodes, the spatial location attribute information of network nodes and their direct and indirect neighbor nodes were fused and clustered, a node importance identification method of multi-order neighbor hierarchical association contribution of complex networks was proposed. The definition of the contribution of node level location attributes was given based on the network node spatial location hierarchical differences and inter-layer association information. A complex network target node multi-order neighbor hierarchical association contributions matrix was constructed to characterize the hierarchical contribution of the associations between direct neighbor nodes, indirect neighbor nodes and target nodes to their influence. A node importance identification method that fused node topological location contribution across layers and levels of space with multi-order neighborhood hierarchical association contribution was proposed. The simulation experiments showed that the proposed method could effectively improve the precision and accuracy of node importance identification on six real networks. This study provided a scientific theoretical basis for in-depth exploration of the dynamic evolution mechanism behind the network, and then made prediction and regulation by exploring the multi-order hierarchical interaction behaviors among the network nodes. Table and Figures | Reference | Related Articles | Metrics

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An image quality assessment model based on structure feature LIANG Min-yu, SUN Quan-sen* JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2012, 42 (3): 52-56.   Abstract （800）      PDF（pc） （1503KB）（2262）       Knowledge map    Save As image structure feature is closely related to the human visual system, a new method based on structure feature was proposed to improve the result consistency with a subjective visual effect. First, image structure features were extracted though experience. And then various structural components were calculated with different weights, according to different sensitivities of eyes to image regions. Finally, a new model was proposed with linear regression. Experimental results on different kinds of images showed that the new method had high efficiency and accuracy compared to the PSNR and RMSE, and had a better consistency with a subjective visual effect. Related Articles | Metrics

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Thermal behavior of two-stage linear Fresnel reflector concentrator L Ming-xin1,2, SONG Gu1, DONG Zhen1, WEI Lu-lu1, LAI Yan-hua1 JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2013, 43 (2): 105-110.   Abstract （587）      PDF（pc） （2019KB）（1718）       Knowledge map    Save The thermal performance of linear Fresnel reflector concentrator(LFRC)with secondary compound parabolic collector (CPC) reflector and a single-layer glass cover were studied. A heat transfer model of LFRC system in steady state had been established according to energy balance principle. Based on this model, the influence of wind speed, environment temperature, solar radiation intensity, concentration ratio, working fluid speed and inlet temperature etc. on concentrator thermal performance had been analyzed systematically, and the temperature and energy distribution along the receiver tube were also given. The results showed that through the numerical simulation, the solar radiation intensity, concentration ratio and inlet temperature were recognized as the key factors affecting  the thermal performance of this targeted of LFRC, which could reach 72％, while the environment factors such as wind and temperature had less influences. So it was helpful to increase the length of the receiver to improve the thermal performance. Related Articles | Metrics

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Review of developments in titanium-based coagulants Baoyu GAO,Xin HUANG,Guangping YAO,Qinyan YUE Journal of Shandong University(Engineering Science)    2020, 50 (1): 109-114.   DOI: 10.6040/j.issn.1672-3961.0.2019.359 Abstract （1921）   HTML （51）    PDF（pc） （1129KB）（1547）       Knowledge map    Save The development process and its applications of titanium-based coagulant were reviewed, including the mono-titanium coagulants and poly-titanium coagulants, and the single titanium coagulants and composite titanium coagulants, and the recent research process and the future development of titanium coagulants, which could provide guidances and references for the research and development of titanium-based coagulants. Reference | Related Articles | Metrics

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Study of the preparation of a novel material by intercalating carboxymethyl-β-Cyclodextrins into layered double hydroxide and its chiral absorption to tryptophan ZHAO Jing, LIU Xiao-lei JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2012, 42 (4): 120-125.   Abstract （868）      PDF（pc） （1687KB）（1536）       Knowledge map    Save A novel carboxymethyl-β-cyclodextrins (CMCD) intercalated layered double hydroxide film was prepared by in situ growth technology. The structure and chemical composition of the intercalated materials were studied by XRD and IR. The XRD analysis showed that the 001 peak of hydrotalcite moved to small angle after intercalation of CMCD, which indicated that the interlayer distance of LDH increased obviously. The asymmetric stretching band of —COO- appeared at 1596cm-1, which indicated that the CMCD intercalated into the LDH interlayer. Furthermore, the chiral adsorption behavior of the intercalated material to the tryptophan at series of concentration was studied primarily. The optical rotations of these filtrates were positive, which indicated that the films preferentially adsorbed the Ltryptophan. The adsorption isotherm was obtained. It was found that the enantioselective adsorption had a maximum adsorption capacity, which was caused by the chiral reorganization of interlayer immobilized CMCD. The amount of the interplay CMCD was determinate, and the enantioselective adsorption was saturable. Related Articles | Metrics

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Heuristic construction method for the initial tour of the Lin-Kernighan algorithm ZENG Hua1, CUI Wen2, FU Lian-ning1, WU Yao-hua1* JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2012, 42 (2): 30-35.   Abstract （1449）      PDF（pc） （1793KB）（3395）       Knowledge map    Save  Initialization construction strategy is an important phase of the LinKernighan algorithm, which is known as one of the most efficient heuristic methods to solve the traveling salesman problem. In most past research, only one construction strategy was adopted, but there was little  research on what strategies could be used in the LinKernighan algorithm and how differently  they perform. 8 construction strategies were analyzed, and 4 of them were found applicable  for LinKernighan initialization. Numerical experiments and computational results with 6 TSPLIP instances showed that  the 4 construction strategies proposed were effective and efficient initialization methods. Additionally, it was proved that the Clark Wright algorithm had the best convergence speed, while the nearest insertion algorithm had the best optimization rate. Related Articles | Metrics

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Analysis of factors affecting heat transfer of double U-shaped buried tubes based on TRNSYS Tao LIU,Ye TIAN,Yongzhi MA Journal of Shandong University(Engineering Science)    2019, 49 (6): 113-118.   DOI: 10.6040/j.issn.1672-3961.0.2019.317 Abstract （1657）   HTML （17）    PDF（pc） （1908KB）（1312）       Knowledge map    Save Because the horizontal buried tubes covered a large area, the heat transfer effect was poor, and the initial investment of the vertical buried tubes was high, the construction was difficult. A transient real-time simulation model of double U-shaped buried tubes heat exchanger was established with TRNSYS software. The factors, which could affect the heat transfer capacity of double U-shaped buried tubes heat exchanger, including the number and the spaceing of holes, and the depth of the buried tubes were analyzed under the condition of unique variable. The simulation experiment results showed that the heat transfer effect of buried tubes could be improved by increasing the number of holes, deepening drilling depth and increasing the spacing of the holes. It provided an analytical basis for the balance between the heat transfer effect of the buried tubes and the construction difficulty. Table and Figures | Reference | Related Articles | Metrics

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A co-evolution model integrated with an immune mechanism YAN Xuan-hui, ZENG Qing-sheng*, SHU Cai-liang JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2012, 42 (1): 34-44.   Abstract （658）      PDF（pc） （1931KB）（1820）       Knowledge map    Save To solve the problems of traditional evolutionary algorithms in computational efficiency, a co-evolution model integrated with an immune mechanism was proposed by referring the idea of co-evolution algorithm. The model maintained the diversity of a population through the respective evolution of multiple sub-populations. During the evolution in each iteration, each sub-population selected the elite antibodies individually and carried out the immune memory operation. Then every sub-population independently mutated with a variety of the algorithm. If the mutation reduced the fitness of the antibody, the antibody was guided by the elite ones. Group collaboration included randomized crossover of a number of individual between sub-populations and large-scale migration among sub-populations. Final the immune metabolism operation removed the weak antibodies in the population. The above operations were repeated until the algorithm reached the established goals or intended loop iterations. Simulation experiments with 13 benchmark functions showed that the optimal solution or satisfactory solution of the model obtained from the search was better than traditional evolutionary algorithms, and its optimization efficiency was also greatly improved. Related Articles | Metrics

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Sequential recommendation model based on dynamic mask and multi-pair contrastive learning ZHENG Shun, WANG Shaoqing, LIU Yufang, LI Keke, SUN Fuzhen Journal of Shandong University(Engineering Science)    2023, 53 (6): 47-55.   DOI: 10.6040/j.issn.1672-3961.0.2022.381 Abstract （317）      PDF（pc） （2757KB）（363）       Knowledge map    Save Reference | Related Articles | Metrics

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On comparison and selection of the wave spectrum in realtime rendering of the irregular ocean wave CHEN Li-ning, JIN Yi-cheng, REN Hong-xiang, YIN Yong JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2013, 43 (6): 47-52.   Abstract （2048）      PDF（pc） （1289KB）（3021）       Knowledge map    Save The Phillips spectrum was widely applied in real-time rendering of the irregular ocean wave. The structure of the Phillips spectrum was analyzed, and the frequency spectrum and directional distribution function of the Phillips spectrum were calculated. The frequency spectrum was similar with the P-M spectrum, so the constant A of the Phillips spectrum was computed by reference to the P-M spectrum, and the spectral wind speed was clarified. In addition to the Phillips spectrum, other spectra were tried. The P-M spectrum and the directional distribution function of the cos(-2s) form were used to construct the PM-cos2s spectrum, and the JONSWAP spectrum and the direction distribution function of the Poisson form were applied for constructing the J-Po spectrum. The three spectra mentioned above were used for rendering ocean wave, and the rendering results were compared. The waves rendered by the Phillips spectrum or PM-cos2s spectrum reflected the wind speed effect, and the wave generated by the J-Po spectrum showed the wind speed effect along with the fetch length effect. The frame rate of the three spectra shared the same value. Because the wave produced by the J-Po spectrum reflected the wind speed and fetch length influence, and the generated wave distributed in (-π,π］ of the wind direction, the J-Po spectrum was more suitable for the maritime simulator. Related Articles | Metrics

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Assessment of inter-cavern containment property for underground oil storage caverns using discrete fracture networks WANG Zhechao, ZHANG Zhenjie, LI Shucai, BI Liping, FANG Shuixin, ZHONG Kecheng JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2016, 46 (2): 94-100.   DOI: 10.6040/j.issn.1672-3961.0.2015.278 Abstract （1624）   HTML    PDF（pc） （3361KB）（1269）       Knowledge map    Save In order to study the inter-cavern containment property for underground oil storage caverns, combining with Huangdao underground oil storage caverns project, seven different cases were investigated by the discrete fracture network method. The water curtain pressure, inter-cavern oil level difference, cavern spacing and joint inclination angles could influent groundwater head distribution and seepage in fracture network. It was concluded that a higher water curtain pressure, smaller inter-cavern oil level difference or wider cavern spacing could improve the inter-cavern containment property of the facility. The inclination angles of rock joints affected the prevailing flow path in the fracture network and thus the inter-cavern containment property of the facility. It was indicated that a favorable inter-cavern containment property would not be guaranteed by increasing the water curtain pressure alone. And the inter-cavern containment property of an underground oil storage project depended on a combined effect of water curtain pressure, stored oil levels, cavern spacing and joint inclination angle. Reference | Related Articles | Metrics

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End-to-end security encryption scheme of NB-IoT for smart grid based on physical unclonable function Donglan LIU,Xin LIU,Jianfei CHEN,Wenting WANG,Hao ZHANG,Lei MA,Dong LI Journal of Shandong University(Engineering Science)    2020, 50 (1): 63-71.   DOI: 10.6040/j.issn.1672-3961.0.2019.034 Abstract （1784）   HTML （22）    PDF（pc） （3224KB）（1152）       Knowledge map    Save In order to improve the high security of power network data transmission, an end-to-end security encryption scheme of NB-IoT (narrow band internet of things, NB-IoT) for smart grid based on physical unclonable function and domestic cipher algorithm SM3 was proposed in this paper. A self-controllable NB-IoT application layer security architecture was designed by introducing the SM3, extending the existing key derivation structure of LTE, and combining the physical unclonable function to ensure the generation of encryption keys between NB-IoT terminals and power grid business platforms. Analysis and experiment showed that the proposed scheme realized secure data transmission and bidirectional identity authentication between IoT devices and terminals. Its features included high compatibility, low communication costs, lightweight and flexible key update. In addition, the scheme also supported terminal authentication during key agreement, which furtherly enhanced the security of business systems in smart grid. Table and Figures | Reference | Related Articles | Metrics

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Multiple objective and attribute decision making based on the subjective and objective weighting SONG Dongmei, LIU Chunxiao, SHEN Chen, SHI Xuefa, ZANG Lin, FENG Wenqiang JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2015, 45 (4): 1-9.   DOI: 10.6040/j.issn.1672-3961.0.2014.306 Abstract （2283）      PDF（pc） （1455KB）（2401）       Knowledge map    Save For main defects of traditional subjective weighing and objective weighing method in the process of multi-objective and multiple attribute decision, a new weight way combined subjective and objective weighting method was proposed. Subjective weigh method has advantages of considering three different attitudes (pessimistic, neutral, optimistic) of the policy makers. Objective weighting method was based on the CRITIC method and the Entropy value method, which fully considered the discrete, correlation and contrast intensity of the data. Finally, linear group legal and multiplication operator were used to combine subjective and objective weighting method. The feasibility and practicability of the proposed method was proved by the experiment of assessment on the anti-interference ability of the communication equipment. Reference | Related Articles | Metrics

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A research survey of driver drowsiness driving detection YANG Jucheng, WEI Feng, LIN Liang, JIA Qingxiang, LIU Jianzheng Journal of Shandong University(Engineering Science)    2024, 54 (2): 1-12.   DOI: 10.6040/j.issn.1672-3961.0.2023.279 Abstract （1305）      PDF（pc） （1359KB）（1401）       Knowledge map    Save Reference | Related Articles | Metrics

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Short-term load forecasting of iron and steel industry area based on combination model of SVM and LSTM Xiaoyan QI,Hengjie LIU,Qiuhua HOU,Xiaoyu LIU,Yanchao TAN,Liancheng WANG Journal of Shandong University(Engineering Science)    2021, 51 (4): 91-98.   DOI: 10.6040/j.issn.1672-3961.0.2020.539 Abstract （1338）   HTML （118）    PDF（pc） （5138KB）（561）       Knowledge map    Save A short-term load forecasting algorithm combining long short-term memory (LSTM) and support vector machine (SVM) was proposed to solve the low accuracy problem of short-term load forecasting due to the large-scale iron and steel enterprise power consumption impact on regional load. The research thoroughly analyzed the load characteristics of the selected region with predominant iron and steel mill load, which divided the load into the impulse load and others based on its various components.Covariance algorithm and Pearson algorithm were used to analyze the correlation and differentiation of load influence factors. Six attributes of historical load, temperature, date type, steel price, electricity price and iron ore price were selected as load forecasting. The fuzzy weight assignment was used to fuse LSTM and SVM which got the final load forecasting result. The simulation results showed that the proposed method could predict the short-term load more accurately than the single LSTM or SVM. Table and Figures | Reference | Related Articles | Metrics

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Slope deformation and parameters sensitivity in the design of double-row supporting piles Yang GAO,Haokai SUN,Richeng LIU Journal of Shandong University(Engineering Science)    2019, 49 (3): 86-94.   DOI: 10.6040/j.issn.1672-3961.0.2019.019 Abstract （2261）   HTML （14）    PDF（pc） （3228KB）（980）       Knowledge map    Save This manuscript took the design of double-row pile support for a foundation pit project in Huaiyin District of Jinan City as an example. Elastoplastic solid elements and linear pile elements in finite difference numerical software was used to simulate the whole process of excavation-support-construction. The pile-soil interaction was taken into account and three-dimensional dynamic analysis carried out. In this paper, the design parameters of soil mechanics parameters, pile diameter, pile length, pile spacing, and coupling beam used to compare the sensitivity of foundation pit deformation. The calculation results for the "entity" and "structure" unit piles used for comparison. The research showed that the simulation process could better show the force mechanism of the double-row supporting pile construction process, and the calculation accuracy was high. The cohesive force, friction angle of the soil and the length of the pile and the distance of the pile in the controllable parameters had a great influence on the support effect. The calculation results could provide a reference for the selection of design parameters of double-row support piles. Table and Figures | Reference | Related Articles | Metrics

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Suggestion sentence classification model based on feature fusion and ensemble learning Pu ZHANG,Chang LIU,Yong WANG Journal of Shandong University(Engineering Science)    2018, 48 (5): 47-54.   DOI: 10.6040/j.issn.1672-3961.0.2018.207 Abstract （2105）   HTML （17）    PDF（pc） （1579KB）（840）       Knowledge map    Save As an emerging research task, suggestion mining has gradually attracted attention of researchers in recent years. Compared with English language suggestion expression forms, those of Chinese were more abundant, and many different characteristics were present. It was necessary to carry out the research on suggestion mining in the Chinese environment. As suggestion sentence detection was the core task of suggestion mining, this research proposed an ensemble learning model that integrated the Stacking and Bagging methods to classify the reviews for the detection of suggestion sentence. The model firstly used Stacking to combine classifiers and constructed probabilistic feature space. Then, the convolution neural network (CNN) and paragraph vector (PV) model were used to construct the CNN feature space and paragraph vector feature space of the reviews respectively. Finally, the above features were fused and the Bagging classifier was trained to classify suggestion sentences. Experimental results on Chinese dataset verified the effectiveness of the model. Table and Figures | Reference | Related Articles | Metrics

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Electric vehicle virtual energy storage available capacity modeling Bei LI,Song ZHAO,Zhijia XIE,Meng NIU Journal of Shandong University(Engineering Science)    2020, 50 (6): 101-111.   DOI: 10.6040/j.issn.1672-3961.0.2020.128 Abstract （1465）   HTML （29）    PDF（pc） （2357KB）（783）       Knowledge map    Save In order to efficiently implement the virtual energy storage dispatch of electric vehicles in a wide area, the article focused on the types of electric vehicles that respond to electric vehicle virtual energy storage (EVVES) services by clustering, combined with the use habits of all kinds of electric vehicle owners (such as daily driving mileage, charging and discharging rules, expected standby travel electricity, etc.), the impact of market on EVVES responsiveness, redundant design of available energy storage capacity and other factors, a virtual energy storage (VES) capacity estimation model was established. Combined with the technical requirements of power system for energy storage to participate in system services, such as emergency power support, smooth renewable energy output, UPS/EPS, etc., the matching basis of supply and demand was proposed. Based on Monte Carlo simulation method, the practicability of the model to estimate the available capacity of response VES service in different time periods was verified, which layed the foundation for the operation practice of EVVES in future. Table and Figures | Reference | Related Articles | Metrics

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Novel traveling wave fault location method using overdetermined equations Youmin LI,Shouguo LÜ,Yang ZHOU,Yaxin NIE,Mingliang JIA,Bin BI Journal of Shandong University(Engineering Science)    2018, 48 (6): 95-100.   DOI: 10.6040/j.issn.1672-3961.0.2018.267 Abstract （1555）   HTML （8）    PDF（pc） （1283KB）（924）       Knowledge map    Save The uncertainty of traveling wave velocity brought the fault location measure error. In order to eliinate the influence of wave velocity, a two-terminal traveling wave fault location method for transmission lines based on overdetermined equation was proposed. This method first needed measure the arriving time of three waves, which were the travelling wave from the fault location to two terminals of the transmission lines, and the two refection waves between the opposite bus and the measure bus. Then with the parameters of the time and lines length, the overdetermined equations were constructed, whose solution could eliminate the uncertainty of traveling wave velocity. The simulation results showed that this method could effectively eliminate the influence of wave velocity, fault distance and ground resistance, and meanwhile show higher location precision and reliability in comparison with other traditional methods. Table and Figures | Reference | Related Articles | Metrics