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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 （1215）   HTML （6）    PDF（pc） （6481KB）（3089）       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 （3748）   HTML （239）    PDF（pc） （4892KB）（4507）       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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Review on smart highways critical technology Jianqing WU,Xiuguang SONG Journal of Shandong University(Engineering Science)    2020, 50 (4): 52-69.   DOI: 10.6040/j.issn.1672-3961.0.2020.149 Abstract （3721）   HTML （644）    PDF（pc） （2579KB）（3528）       Knowledge map    Save Giving highway engineering "wisdom" and establishing new generation five-in-one system of "Internet+" design, construction, management, monitoring and operation, namely, the smart highway, was the hot issue of the interdisciplinary study of civil engineering, control engineering, mechanical engineering, transportation engineering, and computer science. To comprehensively understand the smart highway, this review focused on the critical technology in the integrated system in full life-cycle of the smart highway as well as systematically investigated the relevant previous efforts, critical common technologies, and future scopes on multi-function pavement material, smart construction, smart detection, autonomous vehicles, connected vehicles, and internet of things technology. Table and Figures | Reference | Related Articles | Metrics

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Review on development of simultaneous localization and mapping technology Jianqing WU,Xiuguang SONG Journal of Shandong University(Engineering Science)    2021, 51 (5): 16-31.   DOI: 10.6040/j.issn.1672-3961.0.2021.168 Abstract （2550）   HTML （269）    PDF（pc） （2986KB）（2605）       Knowledge map    Save As a hot spot in the field of intelligent transportation, simultaneous localization and mapping (SLAM) technology is the key to autonomous path planning for self-driving vehicles. This review focused on four parts with introduction of sensors related to SLAM technology, localization, mapping, and multi-sensor integration. Each step of realization for SLAM technology was introduced from advantages and disadvantages, range of application, probability algorithm, types of map, and integration methods. Based on the investigation of relevant researches about multi-sensor integration, common problems of SLAM technology were analyzed, future development trend and practical engineering application of SLAM technology were prospected. Table and Figures | Reference | Related Articles | Metrics

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Review and prospect of research on power system inertia with high penetration of renewable energy source Hengxu ZHANG,Zhimin GAO,Yongji CAO,Hao QIN,Dong YANG,Huan MA Journal of Shandong University(Engineering Science)    2022, 52 (5): 1-13.   DOI: 10.6040/j.issn.1672-3961.0.2022.237 Abstract （2514）   HTML （109）    PDF（pc） （4575KB）（2627）       Knowledge map    Save With the aim of carbon peak and carbon neutrality, the integration of high-proportion renewable energy sources (RESs) makes the low-inertia characteristic of the new power system more obvious. In order to ensure power system security and stability, and support the integration of RESs, the research on the power system inertia was reviewed and prospected. The essence of the power system inertia was introduced, and the correlation among the conventional inertia, virtual inertia and equivalent inertia was discussed, on which the physical significance of the virtual inertia was revealed. From the viewpoints of the sources of inertia, the research on the virtual inertia control of the wind machine, photovoltaic generation, and energy storage system was summarized. Additionally, the assessment methods of power system inertia were reviewed. The important issues to be focused in the research area of power system inertia were summarized, and the suggestions for further studies were provided. Table and Figures | 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 （896）      PDF（pc） （1766KB）（4623）       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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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 （2246）      PDF（pc） （2117KB）（3998）       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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Identification of inertia and state estimation for PMSM DING Xin-zhong1, ZHANG Cheng-rui1*, LI Hu-xiu1, YU Le-hua2 JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2012, 42 (2): 70-76.   Abstract （1102）      PDF（pc） （3010KB）（3358）       Knowledge map    Save  Based on theories of the model reference adaptive system (MRAS) and the Kalman filter, the online inertia identification and state estimation of permanent magnet synchronous motor (PMSM) servo system were  respectively studied for improving the dynamic performance and robustness. In the proposed algorithm, an optimal state estimator based on the Kalman filter was used to provide exact estimation for the rotor speed, rotor position and disturbance torque in a random noisy environment. Also, the MRAS was incorporated to identify the variations of inertia moment real time, and the identified inertia was used to adapt the EKF for better dynamic performance. In addition, the disturbancerejection ability to variations of the mechanical parameters was discussed, and it was verified that the system was robust to the modeling error and system noise. Simulation and experimental results showed that, compared with the M／T method, the proposed technique had better performance in speed resolution, real-time and anti-interference ability. 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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Air quality prediction approach based on integrating forecasting dataset Minghe GAO,Ying ZHANG,Rongrong ZHANG,Zihao HUANG,Linyan HUANG,Fanyu LI,Xin ZHANG,Yanhao WANG Journal of Shandong University(Engineering Science)    2020, 50 (2): 91-99.   DOI: 10.6040/j.issn.1672-3961.0.2019.404 Abstract （2511）   HTML （28）    PDF（pc） （4733KB）（1730）       Knowledge map    Save Towarding the air quality prediction research problem, LightGBM was employed to propose and design a predictive feature-based air quality prediction approach, which could effectively predict the PM2.5 concentration, i.e., the key indicator reflecting air quality, in the upcoming 24-hour within Beijing. During constructing the prediction solution, the features of the training data set was analyzed to execute data cleansing, and the methods of random forest and linear interpolation were used to solve the problem of high data loss and noise interference. The predictive data features were integrated into the dataset, and meanwhile the corresponding statistical features were designed to imiprove the prediction accurancy. The sliding window mechanism was used to mine high-dimensional time features and increase the quantity of data features. The performance and result of the proposed approach were analyzed in details through comparing with the basedline models. The experimental results showed that compared with other model methods, the proposed LightGBM-based prediction approach with integrating forecasting data had higher prediction accuracy. Table and Figures | 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 （770）      PDF（pc） （1230KB）（3117）       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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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 （3212）   HTML （151）    PDF（pc） （6934KB）（2823）       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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Overview of multi-motion vision odometer Fengyu ZHOU,Panlong GU,Fang WAN,Lei YIN,Jiakai HE Journal of Shandong University(Engineering Science)    2021, 51 (1): 1-10.   DOI: 10.6040/j.issn.1672-3961.0.2020.382 Abstract （1281）   HTML （400）    PDF（pc） （3543KB）（1268）       Knowledge map    Save Multi-motion visual odometry (MVO) was an algorithm for estimating the pose change of dynamic objects in dynamic scenes. It was of great theoretical significance and practical value in autonomous things (AuT). The development process and the latest research progress of multi-motion visual odometer in robot field were reviewed. The important research results of multi-motion visual odometer with the fusion of semantic and geometric features were introduced. Based on the same evaluation criteria and datasets, this research compared several common methods, and prospected the future development direction of multi motion visual odometer. Table and Figures | Reference | Related Articles | Metrics

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Intelligent scheduling technology of highway emergency rescue vehicle Xiuguang SONG,Xinming GUO,Fang YAN,Guoqiang LI,Yuan TIAN Journal of Shandong University(Engineering Science)    2023, 53 (4): 1-17.   DOI: 10.6040/j.issn.1672-3961.0.2023.045 Abstract （885）   HTML （36）    PDF（pc） （2239KB）（909）       Knowledge map    Save Traffic accidents had suddenness, complexity and severity. Efficient and reasonable dispatch of emergency rescue vehicles played a vital role in reducing casualties and property losses. The influencing factors of rescue route planning were introduced. The model was described from the single objective model and the multi-objective model. Combined with the characteristics of emergency rescue in sudden traffic accidents, the route optimization algorithm of emergency rescue vehicles was summarized from two aspects: precise algorithm and meta-heuristic algorithm. The current emergency rescue vehicle scheduling technology and development trend were summarized and prospected. Table and Figures | Reference | Related Articles | Metrics

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Review of frequency dynamic behavior evolution and analysis method requirements of power system Hengxu ZHANG,Yongji CAO,Yi ZHANG,Changgang LI,Jiacheng RUAN,VLADIMIR Terzija Journal of Shandong University(Engineering Science)    2021, 51 (5): 42-52.   DOI: 10.6040/j.issn.1672-3961.0.2021.174 Abstract （1448）   HTML （36）    PDF（pc） （1810KB）（623）       Knowledge map    Save The development of renewable energies changed the operation states of power systems, which complicated the frequency dynamics and brought about new challenges to frequency security and stability. The process of frequency dynamic response was introduced, whose quantitative characteristics and analysis methods were reviewed. And the strengths and promising prospects of frequency dynamics analysis method based on artificial intelligence were emphasized. From the viewpoints of the strong variability of renewables energies, the low inertia of nonsynchronous power sources, and the high risk of large power deficits and cascading faults, the changes of the operation states of power systems were analyzed, and the new requirements on frequency analysis and control were discussed. The inertia definition of power systems with the rapid development of renewable energies was revealed, and the virtual inertia control methods were reviewed. The strengths and promising prospects of the coordination control of multi-type virtual inertia were emphasized. The important issues to be focused in the research area of frequency analysis and control were summarized, and the suggestions for further studies were provided. Table and Figures | Reference | Related Articles | Metrics

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Research progress on preparation methods of engineering nano material particle aerosol Hui HU, Ningye TANG, Siyu WANG, Haisen WANG Journal of Shandong University(Engineering Science)    2022, 52 (4): 1-11.   DOI: 10.6040/j.issn.1672-3961.0.2022.009 Abstract （1336）   HTML （44）    PDF（pc） （3186KB）（887）       Knowledge map    Save With the development of nanotechnology and biochemistry, higher requirements were put forward for the particle size and manufacturing process of micro particles. Aerosol, as a common engineering nano material particle, was widely used in all walks of life. The research progress of common aerosol preparation methods, which starts from the aerosol preparation methods and systematically based on a large number of relevant literatures, the applicable scenarios of different aerosol preparation methods, the application requirements were summarized of different aerosol preparation methods were defined, the advantages and disadvantages of were compared and analyzed different aerosol preparation methods. On this basis, the optimization and improvement of various methods by domestic and foreign scholars in different periods were further ummarized, and the experimental and research results of domestic and foreign scholars were deeply analyzed, and the application of supercritical fluid technology in aerosol preparation was analyzed and prospected. Table and Figures | Reference | 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 （3003）      PDF（pc） （2601KB）（3896）       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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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 （1230）      PDF（pc） （6150KB）（1180）       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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Forward modeling analysis of seismic wave field for TGS360pro advanced prediction of groundwater: taking the karst model as an example ZHANG Mingcai, JU Guanghong, XIONG Zhangqiang, ZHANG Dazhou Journal of Shandong University(Engineering Science)    2021, 51 (3): 68-75.   DOI: 10.6040/j.issn.1672-3961.0.2020.158 Abstract （1633）      PDF（pc） （8916KB）（1104）       Knowledge map    Save In order to avoid the occurrence of water gushing accident due to the inaccurate detection of the underground water storage state in front of the tunnel during the excavation of the tunnel, the tunnel geology survey TGS360pro System was used to accurately and efficiently detect the water-bearing body in front of the tunnel face by using the relation between the instantaneous amplitude and frequency of seismic wave signal and the rock structure plane, at the same time, based on the principle of TGS360pro tunnel Prediction System, the geological model with water-filled cave in front of the face was simulated by using spectral element method, through the stress curve, the numerical analysis results showed that the TGS360pro Tunnel Prediction System could effectively detect the water-rich condition in front of the tunnel, it had the prospect of popularization and application in tunnel excavation construction. Reference | 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 （791）      PDF（pc） （1472KB）（3119）       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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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 （2284）      PDF（pc） （1710KB）（2648）       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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Eigenvector selection in spectral clustering based on Bagging WANG Xing-liang, WANG Li-hong*, LI Hai-jun JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2013, 43 (2): 35-41.   Abstract （979）      PDF（pc） （1485KB）（2554）       Knowledge map    Save For the spectral clustering algorithm, the largest k eigenvectors of the affinity matrix derived from the dataset were not always able to find the structure of dataset effectively. An eigenvector selection algorithm in spectral clustering based on Bagging was proposed in order to select better eigenvectors. The  eigenvectors were evaluated by pairwise constraints score. First, some eigenvectors were ranked according to their constraint scores, and then the suitable eigenvectors were selected from the ranking list, finally the optimal combination of k eigenvectors was obtained by Baggingbased ensemble algorithm. The better eigenvectors could be achieved. Experimental results on UCI benchmark datasets showed that this algorithm could gain satisfactory prediction results. 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 （937）      PDF（pc） （1850KB）（2848）       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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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 （1499）      PDF（pc） （1359KB）（1570）       Knowledge map    Save Reference | Related Articles | Metrics

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The spatial model of vehicle-pavement coupling vibration and its dynamic responses analysis LIU Bo, WANG Youzhi*, AN Junjiang, WANG Yilin, YUAN Quan JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    DOI: 10.6040/j.issn.1672-3961.0.2013.207

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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 （2719）      PDF（pc） （3687KB）（2650）       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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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 （1387）   HTML （119）    PDF（pc） （5138KB）（724）       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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A fast algorithm for color space transformation based on SSLUT LIU Yi-fang1,2, ZHANG Yun-feng1,2*, CHI Jing1,2, ZHANG Cai-ming1,2 JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2013, 43 (1): 41-47.   Abstract （880）      PDF（pc） （1357KB）（2360）       Knowledge map    Save To meet the efficiency requirement of color space conversion in real-time video systems, a new fast algorithm for the color space YCbCr to HSV conversion was proposed based on the simplified shift and look-up table (SSLUT). The transformed image quality assessment was implemented. The process of color space conversion was divided into two steps. First, the fixed-point shift method was used to convert YCbCr to RGB. Second, the color space RGB to HSV conversion was used for look-up table method. The fast algorithm speed was tested based on DSP and PC Testing Platform. The image quality assessment was achieved using the structural similarity (SSIM) and the peak signal to noise ratio (PSNR). The results showed that the real-time capability was satisfactory and the transformed image had high fidelity. 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 （2716）   HTML （50）    PDF（pc） （1249KB）（1623）       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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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 （1473）      PDF（pc） （1793KB）（3550）       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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Discriminative manifold-based uncorrelated sparse projective nonnegative matrix factorization LI Xinyu, XU Guiyun, REN Shijin, YANG Maoyun Journal of Shandong University(Engineering Science)    2015, 45 (5): 1-12.   DOI: 10.6040/j.issn.1672-3961.2.2014.155 Abstract （1591）      PDF（pc） （4510KB）（1661）       Knowledge map    Save Inspired by manifold learning, sparse representation and discriminant analysis theories, a discriminative manifold-based uncorrelated sparse projective nonnegative matrix factorization(DMUPNMF)algorithm was developed in this work. By exploiting local and nonlocal geometric discriminant information of the data and the merits of the linear projective NMF, the extracted features were approximately uncorrelated and the decomposition results of DMUPNMF were sparse and better part-based representation. Multiplicative updating rules were introduced to slove the optimization problem of DMUPNMF and its convergence proof was given as well. Moreover, projected gradient decent optimization method was developed to enhance the convergence speed of the method. An approach was proposed to select the informative data points from training dataset, which reduces the computation burden and storage space resulted from a large amount of objects for traditional NMF. Simulations demonstrated that the proposed algorithm outperforms the state-of-the-art algorithms on real-world problems. Reference | Related Articles | Metrics

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Molecular dynamics simulation of alkyl benzene sulfonate at the oil-water interface SHI Jing1,2, L Kai2, YUAN Shi-ling2* JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2012, 42 (2): 77-82.   Abstract （866）      PDF（pc） （1811KB）（2027）       Knowledge map    Save The interfacial aggregates of anionic surfactant and hexadecane benzene sulfonate at the hexadecane-water interface were  studied by atomistic molecular dynamics simulations, and the effect of the attachment position of benzene sulfonate on the hexadecane backbone was discussed. Depending on the interface formation energy and the interfacial thickness, the 2C16-mediated system, in which the benzene sulfonate group  attached to the 2nd carbon in the hexadecane backbone, had the most energetic stable and  thickest interface. Furthermore, the arrangement of the surfactant monolayer at the interface was compared in terms of molecular interfacial area and conformational parameters. The results showed that the influence of the structure of branched alkyl benzene sulfonate was mainly attributed to the conformational alignment of the lipophilic alkyl tail for larger alkanes. As the substituted position of the benzene ring moved closer to the carbon chain endpoint, the surfactants were aligned with a smaller interfacial area, indicating stronger adsorption at the interface. As the extensibility and orderliness of the surfactants molecules increased, the interface arrangement compact more closely,which could make the surfactant correlate with a lower interfacial tension for the hexadecane-water interface and could make it easier for oil flooding. Related Articles | Metrics

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Global and local multi-view multi-label learning with active three-way clustering ZHU Changming, YUE Wen, WANG Panhong, SHEN Zhenyu, ZHOU Rigui Journal of Shandong University(Engineering Science)    2021, 51 (2): 34-46.   DOI: 10.6040/j.issn.1672-3961.0.2020.234 Abstract （949）      PDF（pc） （1030KB）（1793）       Knowledge map    Save In order to consider the uncertain belongingness relationship between instances and clusters and then extend the application scopes of global and local multi-view multi-label learning, an algorithm of global and local multi-view multi-label learning machine with active three-way clustering(GLMVML-ATC)was proposed. With the usage of active three-way clustering strategy, the belongingness of instances to a cluster depended on the probabilities of uncertain instances belonging to core regions. This made local label correlations more authentic, which enhanced the performances of multi-view multi-label learning machines further and accelerated their development. Experimental results validated that GLMVML-ATC improved the classification performances with 3% at least, while the added training time less than 7%. It was superior to the classical multi-view learning machines and multi-label learning machines. Reference | 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 （1189）   HTML （36）    PDF（pc） （1397KB）（1128）       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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Exploring user interest expansion method for recommendation WANG Xin, LU Jingya, WANG Ying JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2017, 47 (2): 71-79.   DOI: 10.6040/j.issn.1672-3961.1.2016.099 Abstract （1449）      PDF（pc） （1862KB）（1478）       Knowledge map    Save An approach of user interest expansion was presented and applied into personal recommendation system, the basic idea was to make some statistics on user's browsing log and clicking log, the user's interest was roughly modelled. The associated relationship from the text similarity, the relevance of language model and potential semantic relationship between the directions of user interest was analyzed, the interest groups using community detection method was identified, the user's interest was enriched appropriately in the same group. By experimental analysis, the impact of user's interest expansion on click rate in personalized recommendations was observed. The click rate had nearly doubled growth. Reference | 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 （1809）      PDF（pc） （4281KB）（2841）       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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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 （1422）   HTML （8）    PDF（pc） （1725KB）（1101）       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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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 （4569）   HTML （127）    PDF（pc） （7881KB）（2341）       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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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 （639）      PDF（pc） （1654KB）（2205）       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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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 （2266）      PDF（pc） （2232KB）（1812）       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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An outlier detection algorithm based on density difference XIN Liling, HE Wei, YU Jian, JIA Caiyan JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2015, 45 (3): 7-14.   DOI: 10.6040/j.issn.1672-3961.1.2014.182 Abstract （1862）      PDF（pc） （2770KB）（1551）       Knowledge map    Save An improved algorithm IMMOD was proposed based on the algorithm MMOD, which considered the difference among different attributes and improved the accuracy of detection. The algorithm introduced entropy to confirm the significance of attribute. The weight of attribute determined by the entropy was used to calculate the weighted distance between objects. In addition, determining and reducing the secondary attributes could guarantee the computational complexity and improve the precision on the high dimensional datasets. The theoretical analysis and the empirical study both showed that the IMMOD could be applied on high dimensional datasets well with a few of parameters and high accuracy, which was better than other algorithms. Reference | Related Articles | Metrics

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Identification of the same product feature based on multi-dimension similarity and sentiment word expansion Longmao HU,Xuegang HU Journal of Shandong University(Engineering Science)    2020, 50 (2): 50-59.   DOI: 10.6040/j.issn.1672-3961.0.2019.403 Abstract （1486）   HTML （9）    PDF（pc） （1624KB）（1117）       Knowledge map    Save Because the existing methods for identifying the same product features were limited by the lack of dictionary coverage or corpus size, an identification method was proposed based on multidimensional similarity and sentiment word expansion. Extracting emotional words of product features through bi-directional long short-term memory and conditional random field (Bi-LSTM-CRF), combining the morpheme similarity, Cilin similarity and term frequency-inverse document frequency (TF-IDF) cosine similarity of product feature words, the same product features were identified by K-medoids clustering algorithm. The experimental results showed that, on mobile and notebook datasets, the maximum adjusted rand index (ARI) reached 0.579 and 0.595 9 respectively, while the minimum entropy reached 0.782 6 and 0.745 7. The proposed method was superior to the adjusted Jaccard similarity combined morpheme, Word2Vec similarity and Word2Vec similarity based on bisecting K-means. 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 （2355）      PDF（pc） （1455KB）（2525）       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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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 （2105）   HTML    PDF（pc） （3204KB）（1723）       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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A semantictag generation method based on multi-model subspace learning Feng TIAN, Xin LI, Fang LIU, Chuang LI, Xiaoqiang SUN, Ruishan DU Journal of Shandong University(Engineering Science)    2020, 50 (3): 31-37.   DOI: 10.6040/j.issn.1672-3961.0.2019.364 Abstract （1483）   HTML （11）    PDF（pc） （5425KB）（853）       Knowledge map    Save A multi-model subspace learning semantic tag generation method was proposed, whic was based on the visual space and label space tag correlation modeling method separately. This method reconstructed the "image-tag" correlation in a non-linear manner by establishing a visual feature similarity map, thereby unifying the visual modal representation of the image and the text modal representation of the tag into a multi-model subspace, and ensuring space structure preservation before and after conversion. In this space, the text modal information of the label and the modal information of the visual content of the image were complementary to each other. The semantically related images and labels were mapped to similar sample points in the space, and the semantic label generation problem was then transformed into the nearest label-neighbors retrieval problem. The results showed that the performance of the proposed method was 36.88% on FLICKR-25K data set, and 44.17% on NUS-WIDE data set, which indicated that the proposed method could greatly improve the accuracy of label generation. 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 （674）      PDF（pc） （1931KB）（1939）       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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A method on building Chinese sentiment lexicon for text sentiment analysis ZHOU Yong-mei1, YANG Jia-neng2, YANG Ai-min1 JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2013, 43 (6): 27-33.   Abstract （2192）      PDF（pc） （1259KB）（6150）       Knowledge map    Save A method on building Chinese sentiment lexicon based on HowNet and SentiWordNet was proposed,in which sentiment intensity of the word was automatically calculated by decomposing it into multiple semantic units and a lexicon proofreading technique was used to optimize the value of sentiment intensity of the word. The building lexicon was applied to the task of sentiment analysis, in which the support vector machine was used to build the sentiment classifier. The experiment results showed that the built sentiment lexicon was more effective than the general polar sentiment lexicon,and provided an effective dictionary resource for the research of sentiment analysis. Related Articles | Metrics

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Eye tracking in human-computer interaction control Hui HE,Junhao HUANG Journal of Shandong University(Engineering Science)    2021, 51 (2): 1-8.   DOI: 10.6040/j.issn.1672-3961.0.2020.346 Abstract （2490）   HTML （101）    PDF（pc） （4362KB）（1201）       Knowledge map    Save To actualize the simple and low-cost eye-tracking based human-computer interaction, an exact interaction method based on the visual directions estimation and eye tracking with webcam videos was proposed. A simple and fast convolution neural network model was used to roughly estimate the user′s viewpoints on the screen. And then an accurate human-computer interaction method was proposed on the basis of the eye movements recognition and sight line tracking results. To verify the effectiveness of the method, the key operations of eye mouse and eye typing were developed. The test results show that the proposed method enabled users to achieve eye tracking and to actualize most precise human-computer interactions with only one common monocular camera, which was expected to completely replace the mouse and keyboard hardwares. Table and Figures | Reference | Related Articles | Metrics

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Mechanical design and gait planning of a hydraulically actuated quadruped bionic robot LI Yi-bin1, LI Bin1,2, RONG Xue-wen1, MENG Jian1 JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)    2011, 41 (5): 32-36.   Abstract （1683）      PDF（pc） （1531KB）（7443）       Knowledge map    Save A hydraulically actuated quadruped bionic robot has been developed by Center for Robotics at Shandong University is described in this paper. The objective is to design a highly dynamic and high load quadruped robot that enables the adaptation to complex terrain. Based on mule／horse creature bionics, the leg configuration with passive structure and hydraulic actuation are met the needs of stability control and high load capacity. And the stability dynamic trotting gait of the quadruped robot is planned based on the forward kinematics and inverse kinematics. Experiments of the developed quadruped bionic robot platform show the rationality of mechanical design and the effectiveness of gait planning. Related Articles | Metrics

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An intrusion detection model based on improved ReliefF algorithm Caihui LIU,Qi ZHOU,Xiaowen YE Journal of Shandong University(Engineering Science)    2023, 53 (2): 1-10.   DOI: 10.6040/j.issn.1672-3961.0.2022.136 Abstract （791）   HTML （24）    PDF（pc） （3888KB）（538）       Knowledge map    Save Aiming at the problems of insufficient feature extraction in the existing intrusion detection algorithms, the influence of feature weights was not considered, and the model classification was not accurate enough, an intrusion detection model based on the improved ReliefF algorithm was proposed. By optimizing the calculation of the feature weight of the intrusion data, an improved algorithm of ReliefF was proposed, based on the Pearson correlation coefficient of the calculated feature, a feature correlation scale was established. Only one of the features with high correlation was retained to realize the secondary optimization of the features, and finally decision tree, k-nearest neighbor, random forest, naive bayes and support vector machine classifier were used to evaluate the classification performance and accuracy. Experimental results on NSL-KDD and UNSW-NB15 data sets showed that this method could not only effectively reduce the feature dimension, but also had better detection performance, which had a positive effect on the computational complexity of the classifier. Table and Figures | Reference | Related Articles | Metrics