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Unidirectionally Sensitive Flexible Resistance Strain Sensor Based on AgNWs/PDMS LIU Xinyue, SUN Weiming, HE Mengfan, FANG Yuan, DJOULDE Aristide, DING Wei, LIU Mei, MENG Lingjun, WANG Zhiming J Shanghai Jiaotong Univ Sci    2025, 30 (2): 209-219.   DOI: 10.1007/s12204-024-2711-6 Abstract （112）      PDF（pc） （1725KB）（38）       Knowledge map    Save The flexible strain sensor has found widespread application due to its excellent flexibility, extensibility,  and adaptability to various scenarios.  This type of sensors face challenges in direction identification owing to  strong coupling between the principal strain and transverse resistance.  In this study, a silver nanowires (AgNWs)/polydimethylsiloxane (PDMS) strain sensor was developed, using a filtration method for preparing the AgNWs film which was then combined with PDMS to create a unidirectional, highly sensitive, fast-responsive,  and linear flexible strain sensor.  When the grid width is 0.25 mm, the AgNWs/PDMS strain sensor demonstrates  an outstanding unidirectional sensitivity, with a strain response solely along the parallel direction of the grid  lines (noise ratio α ≈ 8%), and a fast reaction time of roughly 106.99 ms.  In the end, this sensor’s ability to  detect curvature was also demonstrated through LEDs, demonstrating its potential applications in various fields,  including automotive, medical, and wearable devices. Reference | Related Articles | Metrics | Comments（0）

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Wideband Microstrip-to-Microstrip Vialess Vertical Transition Based on Multilayer Liquid Crystal Polymer Technology LIU Weihong , GUAN Dongyang , HUANG Qian , CHEN Liuyang, ZHANG Menglin J Shanghai Jiaotong Univ Sci    2025, 30 (2): 220-226.   DOI: 10.1007/s12204-023-2621-z Abstract （60）      PDF（pc） （1902KB）（12）       Knowledge map    Save A Ka-band wideband microstrip-to-microstrip (MS-to-MS) vialess vertical transition on slotline multimode  resonator (MMR) is presented. The proposed transition mainly consists of a slotline MMR on the common  ground plane, and two microstrip (MS) lines facing each other at the top and third layers in the four-layered liquid  crystal polymer (LCP) substrate. In order to improve the bandwidth of the proposed transition, a U-shaped  branch is added to the top- and third-layer MS lines, separately. The slotline MMR can be properly excited by  setting the position of the U-shaped branch line. As such, a three-pole wideband vertical transition is obtained,  which shows a good transmission performance over a wide frequency range of 29.27—39.95 GHz. The three-pole  wideband vertical transition based on multilayer LCP substrate is designed, fabricated, and measured. Test results  indicate that a wide frequency range of 26.84—36.26 GHz can be obtained with return loss better than −10 dB  and insertion loss less than −3dB. Reference | Related Articles | Metrics | Comments（0）

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Compact Integrated Lumped-Element Bandpass Filter Loaded with Defected Ground Structure Based on Multilayer Liquid Crystal  Polymer Substrate LIU Weihong, CHEN Yuan, HUANG Qian, LIU Qingran J Shanghai Jiaotong Univ Sci    2025, 30 (2): 227-232.   DOI: 10.1007/s12204-023-2622-y Abstract （58）      PDF（pc） （1544KB）（8）       Knowledge map    Save Design of a miniaturized lumped-element bandpass filter in multilayer liquid crystal polymer technology  is proposed. Fractional bandwidth of the bandpass filter is 20%, operating at a center frequency of 500MHz. In  order to further reduce the size and improve the performance of the proposed filter, defected ground structure (DGS) has been implemented in the filter. Based on this structure, the volume of the inductor is reduced by 60% efficiently compared with the inductor without DGS, and the Q-factor is increased up to 257% compared  with the traditional multilayer spiral inductor. The measured results indicate that the designed filter has a very  sharp stopband, an insertion loss of 2.3 dB, and a return loss of 18.6 dB in the passband. The whole volume of  the fabricated filter is 0.032λg × 0.05λg × 0.000 75λg, where λg is the guided wavelength of the center frequency. The proposed filter is easily integrated into radio-frequency/microwave circuitry at a low manufacturing cost,  especially wireless communication. Reference | Related Articles | Metrics | Comments（0）

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Video-Based Detection of Epileptic Spasms in IESS: Modeling, Detection, and Evaluation DING Lihui1, 2(丁黎辉), FU Lijun1, 3 (付立军), YANG Guang4(杨光), WAN Lin4, 5 (万林), CHANG Zhijun7(常志军) J Shanghai Jiaotong Univ Sci    2025, 30 (1): 1-9.   DOI: 10.1007/s12204-024-2789-x Abstract （400）      PDF（pc） （712KB）（50）       Knowledge map    Save Behavioral scoring based on clinical observations remains the gold standard for screening, diagnosing,and evaluating infantile epileptic spasm syndrome (IESS). The accurate identification of seizures is crucial for clinical diagnosis and assessment. In this study, we propose an innovative seizure detection method based on video feature recognition of patient spasms. To capture the temporal characteristics of the spasm behavior presented in the videos effectively, we incorporate asymmetric convolution and convolution–batch normalization–ReLU (CBR) modules. Specifically within the 3D-ResNet residual blocks, we split the larger convolutional kernels into two asymmetric 3D convolutional kernels. These kernels are connected in series to enhance the ability of the convolutional layers to extract key local features, both horizontally and vertically. In addition, we introduce a 3D convolutional block attention module to enhance the spatial correlations between video frame channels efficiently. To improve the generalization ability, we design a composite loss function that combines cross-entropy loss with triplet loss to balance the classification and similarity requirements. We train and evaluate our method using the PLA IESS-VIDEO dataset, achieving an average seizure recognition accuracy of 90.59%, precision of 90.94%, and recall of 87.64%. To validate its generalization capability further, we conducted external validation using six different patient monitoring videos compared with assessments by six human experts from various medical centers. The final test results demonstrate that our method achieved a recall of 0.647 6, surpassing the average level achieved by human experts (0.559 5), while attaining a high F1-score of 0.721 9. These findings have substantial significance for the long-term assessment of patients with IESS. Reference | Related Articles | Metrics | Comments（0）

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Augmented Reality Navigation Using Surgical Guides Versus Conventional Techniques in Pedicle Screw Placement KONG Huiyang1 (孔会扬), WANG Shuyi1 (王殊轶), ZHANG Can2 (张璨), CHEN Zan2, 3 (陈赞) J Shanghai Jiaotong Univ Sci    2025, 30 (1): 10-17.   DOI: 10.1007/s12204-023-2689-5 Abstract （320）      PDF（pc） （1106KB）（28）       Knowledge map    Save The aim of this study was to assess the potential of surgical guides as a complementary tool to augmented reality (AR) in enhancing the safety and precision of pedicle screw placement in spinal surgery. Four trainers were divided into the AR navigation group using surgical guides and the free-hand group. Each group consisted of a novice and an experienced spine surgeon. A total of 80 pedicle screws were implanted. First, the AR group reconstructed the 3D model and planned the screw insertion route according to the computed tomography data of L2 lumbar vertebrae. Then, the Microsoft HoloLensTM 2 was used to identify the vertebral model, and the planned virtual path was superimposed on the real cone model. Next, the screw was placed according to the projected trajectory. Finally, Micron Tracker was used to measure the deviation of screws from the preoperatively planned trajectory, and pedicle screws were evaluated using the Gertzbein-Robbins scale. In the AR group, the linear deviations of the experienced doctor and the novice were (1.59±0.39) mm and (1.73±0.52) mm respectively, and the angle deviations were 2.72◦ ± 0.61◦ and 2.87◦ ± 0.63◦ respectively. In the free-hand group, the linear deviations of the experienced doctor and the novice were (2.88 ± 0.58) mm and (5.25 ± 0.62) mm respectively, and the angle deviations were 4.41◦ ± 1.18◦ and 7.15◦ ± 1.45◦ respectively. Both kinds of deviations between the two groups were significantly different (P < 0.05). The screw accuracy rate was 95% in the AR navigation group and 77.5% in the free-hand group. The results of this study indicate that the integration of surgical guides and AR is an innovative technique that can substantially enhance the safety and precision of spinal surgery and assist inexperienced doctors in completing the surgery. Reference | Related Articles | Metrics | Comments（0）

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Direct Ink Writing Method of Fractal Wearable Flexible Sensor Based on Conductive Graphene/Polydimethylsiloxane Ink CHEN Junling1, 2, 3 (陈俊伶), GAO Feiyang1, 3 (高飞扬), ZHANG Liming1, 3 (张黎明), ZHENG Xiongfei1, 3(郑雄飞) J Shanghai Jiaotong Univ Sci    2025, 30 (1): 18-26.   DOI: 10.1007/s12204-023-2687-7 Abstract （255）      PDF（pc） （1712KB）（14）       Knowledge map    Save Flexible electronic technology has laid the foundation for complex human-computer interaction system, and has attracted great attention in the field of human motion detection and soft robotics. Graphene has received an extensive attention due to its excellent electrical conductivity; however, how to use it to fabricate wearable flexible sensors with complex structures remains challenging. In this study, we studied the rheological behavior of graphene/polydimethylsiloxane ink and proposed an optimal graphene ratio, which makes the ink have a good printability and conductivity at the same time. Then, based on the theory of Peano fractal layout, we proposed a two-dimensional structure that can withstand multi-directional tension by replacing the traditional arris structure with the arc structure. After that, we manufactured circular arc fractal structure sensor by adjusting ink composition and printing structure through direct ink writing method. Finally, we evaluated the detection performance and repeatability of the sensor. This method provides a simple and effective solution for fabricating wearable flexible sensors and exhibits the potential to fabricate 3D complex flexible electronic devices. Reference | Related Articles | Metrics | Comments（0）

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Drive System Technique    2024, 38 (4): 3-6.   Abstract （17）            Knowledge map    Save Related Articles | Metrics | Comments（0）

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TshFNA-Examiner: A Nuclei Segmentation and Cancer Assessment Framework for Thyroid Cytology Image KE Jing1(柯晶), ZHU Junchao2 (朱俊超), YANG Xin1(杨鑫), ZHANG Haolin3 (张浩林), SUN Yuxiang1(孙宇翔), WANG Jiayi1(王嘉怡), LU Yizhou4(鲁亦舟), SHEN Yiqing5(沈逸卿), LIU Sheng6(刘晟), JIANG Fusong7(蒋伏松), HUANG Qin8(黄琴) J Shanghai Jiaotong Univ Sci    2024, 29 (6): 945-957.   DOI: 10.1007/s12204-024-2743-y Abstract （257）      PDF（pc） （2836KB）（85）       Knowledge map    Save Examining thyroid fine-needle aspiration (FNA) can grade cancer risks, derive prognostic information, and guide follow-up care or surgery. The digitization of biopsy and deep learning techniques has recently enabled computational pathology. However, there is still lack of systematic diagnostic system for the complicated gigapixel cytopathology images, which can match physician-level basic perception. In this study, we design a deep learning framework, thyroid segmentation and hierarchy fine-needle aspiration (TshFNA)-Examiner to quantitatively profile the cancer risk of a thyroid FNA image. In the TshFNA-Examiner, cellular-intensive areas strongly correlated with diagnostic medical information are detected by a nuclei segmentation neural network; cell-level image patches are catalogued following The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) system, by a classification neural network which is further enhanced by leveraging unlabeled data. A cohort of 333 thyroid FNA cases collected from 2019 to 2022 from I to VI is studied, with pixel-wise and image-wise image patches annotated. Empirically, TshFNA-Examiner is evaluated with comprehensive metrics and multiple tasks to demonstrate its superiority to state-of-the-art deep learning approaches. The average performance of cellular area segmentation achieves a Dice of 0.931 and Jaccard index of 0.871. The cancer risk classifier achieves a macro-F1-score of 0.959, macro-AUC of 0.998, and accuracy of 0.959 following TBSRTC. The corresponding metrics can be enhanced to a macro-F1-score of 0.970, macro-AUC of 0.999, and accuracy of 0.970 by leveraging informative unlabeled data. In clinical practice, TshFNA-Examiner can help cytologists to visualize the output of deep learning networks in a convenient way to facilitate making the final decision. Reference | Related Articles | Metrics | Comments（0）

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Motor Imagery Classification Based on Plain Convolutional Neural Network and Linear Interpolation LI Mingai1, 2∗ (李明爱), WEI Lina1 (魏丽娜) J Shanghai Jiaotong Univ Sci    2024, 29 (6): 958-966.   DOI: 10.1007/s12204-022-2486-6 Abstract （131）      PDF（pc） （859KB）（62）       Knowledge map    Save Deep learning has been applied for motor imagery electroencephalogram (MI-EEG) classification in brain-computer system to help people who suffer from serious neuromotor disorders. The inefficiency network and data shortage are the primary issues that the researchers face and need to solve. A novel MI-EEG classification method is proposed in this paper. A plain convolutional neural network (pCNN), which contains two convolution layers, is designed to extract the temporal-spatial information of MI-EEG, and a linear interpolation-based data augmentation (LIDA) method is introduced, by which any two unrepeated trials are randomly selected to generate a new data. Based on two publicly available brain-computer interface competition datasets, the experiments are conducted to confirm the structure of pCNN and optimize the parameters of pCNN and LIDA as well. The average classification accuracy values achieve 90.27% and 98.23%, and the average Kappa values are 0.805 and 0.965 respectively. The experiment results show the advantage of the proposed classification method in both accuracy and statistical consistency, compared with the existing methods. Reference | Related Articles | Metrics | Comments（0）

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Universal Modeling Method of Electrical Impedance Response During Respiration LIU Enkang1 (刘恩康), MA Yixin1, 2∗ (马艺馨), BAI Zixuan1 (白子轩), ZHOU Xing1 (周星), ZHANG Mingzhu1 (张明珠), JIANG Zeyi1 (江泽裔) J Shanghai Jiaotong Univ Sci    2024, 29 (6): 967-978.   DOI: 10.1007/s12204-023-2593-z Abstract （114）      PDF（pc） （1004KB）（32）       Knowledge map    Save In recent years, significant progress has been made through impedance pneumography (IP) in diagnosing pulmonary function. Since there is no need to measure inhalation and exhalation air flow through a pipeline, IP does not increase respiratory resistance and poses no risk of cross-infection, which makes it superior to existing gas flowmeter-based spirometers in clinics. However, the changes in thoracic impedance caused by pulmonary ventilation present significant individual variability. The ratio between pulmonary ventilation volume change (ΔV ) and thoracic impedance change (ΔZ), noted as kΔV/ΔZ , differs among people. IP has to be calibrated for each person by flowmeter-type spirometer before it can be used for quantitative diagnosis. This study aimed to develop a universal model for kΔV/ΔZ using individual parameters such as body height, body mass, body mass index, body fat rate, and chest circumference. The experimental procedure, the way to identify factors for multiple regression via significance analysis and the comparison among different models are presented. This paper demonstrates the possibility of establishing a universal regression model for kΔV/ΔZ , to lay the foundation for the clinical application of IP-based pulmonary function test. Reference | Related Articles | Metrics | Comments（0）

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Application and Prospect of Two-Part Tariff Mechanism in Context of Transmission and Distribution Price Reform REN Xijun, SONG Zhumeng, WANG Bao, YE Yutong, PAN Sijia, WANG Mengyuan, XU Xiaoyuan Journal of Shanghai Jiao Tong University    2024, 58 (10): 1479-1488.   DOI: 10.16183/j.cnki.jsjtu.2023.102 Abstract （622）   HTML （51）    PDF（pc） （1057KB）（588）       Knowledge map    Save In the context of the reform of transmission and distribution tariff mechanism, the drawbacks of the existing two-part tariff system which cannot reasonably reflect the real cost of electricity consumption by power users have gradually emerged. The two-part tariff mechanism is responsible for allocating the space for electricity generation, transmission, distribution and sale tariffs, and regulating the resources of the power system. Therefore, it is urgent to improve the existing two-part tariff mechanism. This paper, focusing on the two-part tariff mechanism, first, introduces the basic theory and billing ratio of the two-part tariff, and studies the method of apportioning transmission and distribution costs based on different load rates and voltage levels. Then, it summarizes the electricity tariff mechanisms such as load rate packages and time-of-use tariffs and the basic tariff mechanisms such as tariff, load adjustments, and improved billing ratios respectively for the collection methods of two-part tariffs. Afterwards, it analyzes the implementation mode of two-part tariff mechanism theory by combining the practical experience of two-part system in the United States, France, Japan, and other foreign countries. Finally, it proposes the future development direction and suggestions of China’s two-part tariff mechanism. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Spatio-Temporal Adaptation Assessment of Key Technologies of New Distribution Network Based on 3D Space LIU Dongming, ZENG Qingbin, ZHANG Yongjun, ZHANG Jun, FAN Wei, LIU Yu Journal of Shanghai Jiao Tong University    2024, 58 (10): 1489-1499.   DOI: 10.16183/j.cnki.jsjtu.2023.053 Abstract （330）   HTML （16）    PDF（pc） （3873KB）（213）       Knowledge map    Save In the context of the development of new power systems, a three-dimensional spatio-temporal adaptation assessment model based on grid satisfaction, spatio-temporal resources, and effectiveness improvement is proposed to address the problems of distribution network planning and construction, the adaptability of key distribution network technologies to the space and time in which they are applied, and the difficulty of quantifying application defects. Subjective assignment in hierarchical analysis is improved using continuous interval ordered weighted average operator, and the problem of bias of the single assignment method is solved by the introduction of a subjective-objective combination assignment method constructed by the conflicting correlation among criteria method. The degree of affiliation of each indicator is determined using the fuzzy integrated evaluation method and the evaluation level is then obtained. The case studies show that the proposed method can quantify the degree of fit between the key technologies of the distribution network and the space-time, identify the adaptability of the key technologies to different space-times and the degree of satisfaction of the application of the technologies in different space-times, and reveal the weaknesses of the key technologies of the distribution network, which can help improve the efficiency and effectiveness of the investment in the distribution network and better serve the high-quality development of the economy and society. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A Prediction Method of New Power System Frequency Characteristics Based on Convolutional Neural Network LU Wen’an, ZHU Qingxiao, LI Zhaowei, LIU Hui, YU Yiping Journal of Shanghai Jiao Tong University    2024, 58 (10): 1500-1512.   DOI: 10.16183/j.cnki.jsjtu.2023.071 Abstract （516）   HTML （18）    PDF（pc） （2722KB）（565）       Knowledge map    Save In order to solve the problems existing in the traditional frequency analysis method for the frequency analysis of grids with a high proportion of new energy, such as the large amount of calculation, the difficulty of modeling, and the prominent contradiction between the calculation speed and the calculation accuracy, this paper proposes a new frequency characteristic prediction method for the new power system based on convolutional neural network (CNN). First, the main frequency indexes of the power system with a high proportion of new energy under power disturbances are predicted using one-dimensional CNN, including the initial frequency change rate, frequency extremum, and frequency steady-state value. The prediction accuracy is improved by setting reasonable input characteristics and optimizing the parameters of the neural network. Then, the impact of disturbance location and disturbance type is further considered, and the power system characteristic data set containing disturbance information is established by the method of data dimensionality reduction. The input characteristics are constructed by using the principle of three primary channels for reference, and the extended two-dimensional CNN is used to predict the frequency security index, which improves the adaptability of CNN in the frequency analysis of grids with a high proportion of new energy. Finally, the method is verified by an example in the improved BPA 10-machine 39-node model, and the results are compared with the prediction results of the recurrent neural network, which proves that the proposed method has a high accuracy and adaptability. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Multi-Energy Flow Modeling and Optimization of Electric-Gas-Thermal Integrated Energy System LI Bingjie, YUAN Xiaoyun, SHI Jing, XU Huachi, LUO Zixuan Journal of Shanghai Jiao Tong University    2024, 58 (9): 1297-1308.   DOI: 10.16183/j.cnki.jsjtu.2022.494 Abstract （3507）   HTML （38）    PDF（pc） （8902KB）（512）       Knowledge map    Save In view of the fact that the conversion of various energy forms such as electricity, gas, and heat in the regional integrated energy system (RIES) seriously affects the economy of the system operation, a mathematical model and an optimization model of RIES energy flow are established to improve the economy of the system and the absorption of renewable energy. First, the mathematical models of all kinds of energy conversion equipment in the system are established to determine the constraints of three kinds of energy transmission networks, namely electricity, natural gas, and heat. Then, taking economic operation as the primary objective, and taking into account the objective function of low carbon emissions and increasing the uptake rate of renewable energy, the RIES multi-energy flow optimization model is constructed. Finally, based on the large-scale integrated energy system, the load side demand response is introduced and the simulation model is established. The simulation results show that the introduction of demand response improves the flexibility of system scheduling, reduces the dependence of the system on energy storage equipment, and effectively reduces the energy consumption cost of users. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Shared Energy Storage Multi-Objective Allocation Strategy Considering Integrated Energy Microgrid Access to Active Distribution Network MI Yang, CHEN Yuyang, CHEN Boyang, HAN Yunhao, YUAN Minghan Journal of Shanghai Jiao Tong University    2024, 58 (9): 1309-1322.   DOI: 10.16183/j.cnki.jsjtu.2023.021 Abstract （1862）   HTML （16）    PDF（pc） （4556KB）（224）       Knowledge map    Save In order to give full play to the advantages of shared energy storage in improving economy and energy utilization, while considering the role of multi-energy complementation and coupling of integrated energy microgrids in active distribution networks, a multi-objective optimal allocation strategy of shared energy storage is proposed for the active distribution network connected with integrated energy microgrid. First, the optimization objectives of the economy and voltage stability of the distribution network and the configuration capacity of the shared energy storage are analyzed, the coordinated operation of the source-net-load side multi-flexible resources of the active distribution network is considered, and the active distribution network and the integrated energy microgrid are modeled. Then, the model is solved based on the Pareto optimal multi-objective particle swarm algorithm. Finally, the optimization algorithm of shared energy storage configuration is established in conjunction with the IEEE 33-node distribution system to verify the effectiveness of the proposed configuration strategy. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Robust Optimal Scheduling of Micro Energy Grid Considering Multi-Interval Uncertainty Set of Source-Load and Integrated Demand Response MI Yang, FU Qixin, ZHAO Haihui, MA Siyuan, WANG Yufei Journal of Shanghai Jiao Tong University    2024, 58 (9): 1323-1333.   DOI: 10.16183/j.cnki.jsjtu.2023.022 Abstract （2016）   HTML （8）    PDF（pc） （1898KB）（248）       Knowledge map    Save Aiming at the uncertainty of the source and load in micro energy grid, a robust optimal scheduling model considering multi-interval uncertainty set of source-load and integrated demand response is proposed. First, considering the uncertainty of wind power, photovoltaic output and electric, and thermal and cooling loads in the micro energy grid, a multi-interval uncertainty set of source-load is established. Then, in order to fully tap the potential of load side dispatching, an integrated demand response model is established, which includes reducible electric load, transferable electric load, flexible cooling, heating load, and replaceable load, based on which, the uncertainty of integrated demand response is considered. Afterwards, with the lowest dispatching cost of micro energy grid as the objective function, a two-stage robust optimal scheduling model of micro energy network is constructed, which considers the multi-interval uncertainty set of source load and the integrated demand response. The model is solved by the column and constraint generation algorithm, the strong duality theory, and the large M method. Finally, the rationality and effectiveness of the proposed model are verified through the analysis of numerical examples. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Drive System Technique    2024, 38 (3): 3-8.   Abstract （11）            Knowledge map    Save Related Articles | Metrics | Comments（0）

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Ship Pipe Layout Optimization Based on Improved Particle Swarm Optimization LIN Yan1, 2(林焰), BIAN Xuanyi1(卞璇屹), DONG Zongran3(董宗然) J Shanghai Jiaotong Univ Sci    2024, 29 (5): 737-746.   DOI: 10.1007/s12204-022-2530-6 Abstract （302）      PDF（pc） （1456KB）（102）       Knowledge map    Save Ship pipe layout optimization is one of the difficulties and hot spots in ship intelligent production design. A high-dimensional vector coding is proposed based on the research of related pipe coding and ship pipe route features in this paper. The advantages of this coding method are concise structure, strong compatibility, and independence from the gridding space. Based on the proposed coding, the particle swarm optimization algorithm is implemented, and the algorithm is improved by the pre-selected path strategy and the branch-pipe processing strategy. Finally, two simulation results reveal that the proposed coding and algorithm have feasibility and engineering practicability. Reference | Related Articles | Metrics | Comments（0）

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Experimental Study and Numerical Simulation of Evacuation in an Offshore Platform ZHANG Jingjinga (张菁菁), ZHAO Jinchenga, b, c∗(赵金城), SONG Zhensena, b, c (宋振森), DUAN Lipinga, b, c(段立平) J Shanghai Jiaotong Univ Sci    2024, 29 (5): 747-758.   DOI: 10.1007/s12204-023-2629-4 Abstract （207）      PDF（pc） （4007KB）（48）       Knowledge map    Save With the rapid development of marine oil and gas exploitation, the evacuation of offshore platforms has received more attention. First, an experimental investigation of the evacuation process of 120 participants in a real offshore platform is performed, and then simulation results provided by Pathfinder are validated against the measurement results. Second, four typical evacuation scenarios on the platform referring to IMO guidelines are investigated by Pathfinder with the speed values achieved in experiments. The simulation results show that both the utilization of exits and evacuation efficiency of people on the offshore platform need to be further improved. Last, the evacuation routes of people under the four scenarios are optimized, and the improvement of the evacuation performance after the optimization is evaluated by several mathematical indicators. Final results show that the evacuation with the optimized route design prompts the use efficiency of exits and further reduces the evacuation time. The present study provides a useful advice for potentially revising the IMO guidelines in future and provides efficient evacuation strategies for planning the emergency evacuation on offshore platforms. Reference | Related Articles | Metrics | Comments（0）

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Knowledge-Based Curved Block Construction Scheduling and Application in Shipbuilding JIANG Zuhua1∗(蒋祖华), ZHOU Hongming2(周宏明), TAO Ningrong3(陶宁蓉), LI Baihe1(李柏鹤) J Shanghai Jiaotong Univ Sci    2024, 29 (5): 759-765.   DOI: 10.1007/s12204-022-2544-0 Abstract （122）      PDF（pc） （1037KB）（23）       Knowledge map    Save To increase efficiency in fierce competition, it is necessary and urgent to improve the standard of production planning for shipbuilding. The construction of curved blocks is the bottleneck to improve the efficiency of shipbuilding. Thus it is a key breakthrough for higher shipbuilding productivity to study the curved block production. By analyzing the scheduling problem in curved blocks production, we propose an intelligent curved block production scheduling method and its system based on a knowledge base, and show the main process of the system. The functions of the system include data management, assembly plan generation, plan adjustment, and plan evaluation. In order to deal with the actual situation and inherit the empirical knowledge, the system extracts some rules to control block selecting, algorithm selection, and evaluation thresholds to build a production decision-making knowledge base in the curved block scheduling system. The proposed knowledge base could be referred and modified by users, especially after a few interactions between the users and the knowledge base. The final assembly plan can be visualized and evaluated to facilitate the observation of plan implementation and effects of the decisions in the process. Finally, the system is verified by a large shipyard in Shanghai using real data and the results illustrate that the proposed method can perform the knowledge-based scheduling for curved blocks construction effectively. Reference | Related Articles | Metrics | Comments（0）

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Experimental Study of Influence of Secondary Combustion on Combustion Characteristics of Axial Staged Combustor SUI Yongfeng, ZHANG Yuming, ZANG Peng, JIA Yuliang, HENG Sijiang, FU Yanni, GE Bing Journal of Shanghai Jiao Tong University    2024, 58 (8): 1139-1147.   DOI: 10.16183/j.cnki.jsjtu.2023.076 Abstract （421）   HTML （31）    PDF（pc） （4916KB）（606）       Knowledge map    Save In order to obtain the influencing rule of secondary combustion on emissions and combustion oscillation characteristics of gas turbine axial staged combustor in non-premixed combustion mode and explore a load increasing mode with stable low emission, an axial staged combustor for F-class gas turbines is selected for experimental study. The results show that CO consumption is restrained and CO emission increases sharply when secondary fuel is added at a lower combustor outlet temperature. The addition of secondary fuel and the increase of secondary equivalence ratio lead to the reduction of NOx emission, but the increase of load can weaken the ability of secondary fuel to reduce NOx emission. The addition of secondary fuel and the increase of secondary equivalence ratio restrain the combustion oscillation in the low frequency band (75—90 Hz). When the secondary equivalence ratio is higher than a certain threshold (0.19), the addition of secondary fuel can restrain higher frequency(175—210 Hz) combustion oscillation. In addition, by comprehensively considering the influence of secondary combustion on emissions and combustion oscillation, the operating range and load increasing mode of low emissions and stable combustion of axial staged combustor in the higher load range (20%—50% load) are obtained, which provides a reference for stable low emission operation of the unit during load increasing. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Droplets Evaporation Characteristics of Diesel from Direct and Indirect Coal Liquefaction and Their Blends SHEN Yukun, WANG Jigang, QIAO Xinqi Journal of Shanghai Jiao Tong University    2024, 58 (8): 1148-1155.   DOI: 10.16183/j.cnki.jsjtu.2023.195 Abstract （224）   HTML （12）    PDF（pc） （4746KB）（237）       Knowledge map    Save To study the evaporation characteristics of diesel from direct coal liquefaction (DDCL), diesel from indirect coal liquefaction (DICL), and their blended fuel droplets at different ambient temperatures (500, 600 and 700 ℃), a droplet evaporation test apparatus based on the suspension method was used to suspend droplets using crossed quartz wires, and a fuel with very similar physicochemical properties to diesel was obtained by blending of DDCL and DICL at a mass ratio of 29∶21 by using the fuel design method. It is shown that the evaporation pattern of DDCL, DICL, and their blended fuel droplets is similar to that of diesel fuel, and they all show a two-stage evaporation. The deviation from the classical d2 law is large below 600 ℃, and the deviation from the d2 law gradually decreases with the increase of ambient temperature. At all three ambient temperatures, the blended fuel droplets exhibit a better evaporation performance than diesel, with 27.2%, 46.3%, and 19.6% higher average evaporation rates than diesel, respectively, providing supporting data for the application of coal liquefied diesel in diesel engines. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Temperature Control Scheme for Gas Turbine of Combined Cycles with Exhaust Gas Recirculation LI Keying, CHEN Kun, JIANG Zepeng, LI Chao, GUO Xiaoguo, ZHANG Shijie Journal of Shanghai Jiao Tong University    2024, 58 (8): 1156-1166.   DOI: 10.16183/j.cnki.jsjtu.2023.126 Abstract （289）   HTML （17）    PDF（pc） （3707KB）（250）       Knowledge map    Save Under partial-load conditions, the combined application of exhaust gas recirculation of heat recovery steam generator and compressor inlet guide vane adjustment (EGR-IGVC) can effectively improve the performance of gas turbine combined cycle. However, if this strategy is combined with the temperature control scheme of constant T3(turbine inlet temperature)-T4m(maximum allowable turbine exhaust temperature), which is often adopted in gas turbine combined cycles under part-load conditions, it would cause a large bottoming cycle exergy destruction and a significant decrease in bottoming cycle power output at relatively lower loads. In this paper, a constant T3-T4m-T4d (the design value of turbine exhaust temperature) scheme suitable for the EGR-IGVC strategy is proposed, the PG9351FA gas turbine combined cycle unit is taken as the research object, and the partial-load performance of combined cycle under the two temperature control schemes is compared and investigated based on energy and exergy analysis. The results show that the combination of the EGR-IGVC strategy with the constant T3-T4m scheme is still the best at the ambient temperature of 15 ℃ and the partial-load rate of above 80%. At a load of 30%—80%, compared with the constant T3-T4m scheme, the EGR-IGVC strategy combined with the constant T3-T4m-T4d scheme can increase the gas turbine efficiency by 0.15%—0.47%, and decrease the exergy destruction of the heat recovery steam generator by more than 0.51%(2.15 MW). The results also show that adopting the constant T3-T4m-T4d scheme can always obtain higher combined cycle efficiency when the ambient temperature varies between 0 and 40 ℃. In addition, the increase in partial-load efficiency becomes more evident with the rise of ambient temperature. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Hydrodynamic Performance of a Barge-Type Floating Offshore Wind Turbine with Moonpool CHEN Yiren, YAO Jinyu, LI Mingxuan, ZHANG Xinshu Journal of Shanghai Jiao Tong University    2024, 58 (7): 965-982.   DOI: 10.16183/j.cnki.jsjtu.2022.521 Abstract （2238）   HTML （18）    PDF（pc） （11548KB）（514）       Knowledge map    Save The hydrodynamic performance of a barge-type floating offshore wind turbine (FOWT) with a moonpool is studied in frequency domain with reference to the Ideol-Floatgen design. The correction of the viscous damping of the moonpool is considered. First, the resonance modes of the moonpool are analyzed. Then, the hydrodynamic coefficients of the FOWT under regular waves and the motion responses under irregular waves are investigated. Finally, the safety of the FOWT is verified with respect to the DNV standards. The results show that the dynamic pitch and nacelle acceleration of the barge-type FOWT meet the safety requirements under both operating and survival conditions. The investigation of the coupling effects of the platform motion and the moonpool resonance shows that the motion of the platform will cause the shift of the piston mode frequency of the moonpool and the reduction of the piston mode response amplitude, the frequency of the sloshing mode is basically unaffected, but the response amplitude of the first-order sloshing mode is increased. The motion responses of the barge-type FOWT with and without the moonpool are compared. It is found that the moonpool can reduce the motion response of the FOWT, and improve the overall hydrodynamic performance of the FOWT. The platform length, moonpool length and platform draught are parametrically analyzed. Surge, heave, pitch response RMS values and the nacelle acceleration response RMS value are used as the indicators of comparison. It is found that the increase of the platform length could effectively reduce the four response RMS values of the FOWT under both operating and survival conditions, the increase of the moonpool length will reduce the four response RMS values of the FOWT under the operating condition, and the increase of the platform draught could significantly reduce the four response RMS values of the FOWT under the survival condition, the heave and pitch response RMS values increase with the augmentation of the draught under the operating condition. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Vibration Control of Semi-Submersible Offshore Wind Turbines Using Inerter-Based Absorbers ZENG Weijie, ZHANG Ying, DENG Yanfei, GUO Chuanrui, REN Weixin Journal of Shanghai Jiao Tong University    2024, 58 (7): 983-994.   DOI: 10.16183/j.cnki.jsjtu.2023.019 Abstract （1887）   HTML （12）    PDF（pc） （3460KB）（482）       Knowledge map    Save Compared with fixed offshore wind turbines, the vibration problem of floating offshore wind turbines is particularly prominent, and further reduction of the vibration of floating offshore wind turbines has become an engineering challenge. In order to solve this problem, a novel vibration suppression device, inerter-based absorber (IBA) is introduced, and the vibration control of semi-submersible offshore wind turbines is studied. A comprehensive optimization method, namely the structure-immittance approach, is utilized to design the IBA in a systematic way. In order to search for the optimum vibration suppression performance, a simplified dynamic model of the semi-submersible offshore wind turbine, and the IBA dynamic equations are established using D’Alembert’s principle. Simultaneous suppression of the vibration response of the floating platform and tower of a semi-submersible offshore wind turbine is realized using the dual IBA control strategy. Furthermore, by implementing the optimum IBA in the OpenFAST software, the vibration suppression benefits of the dual IBA compared with the dual tuned mass damper (TMD) are verified under the coupling effects of wind and waves. The results show that the vibration control performance of the dual IBA control strategy is significantly better than that of the single one, and that of the dual IBA is better than that of the dual TMD. In addition, under the condition of achieving the same suppression performance as the TMD, IBA installed at the nacelle and the platform can respectively decrease the required absorber mass by 23.9% and 32.2%, which can greatly reduce the manufacture cost of the device. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Depth Distribution Characteristics of Particle Velocity Field Intensity in Shallow Sea ZHANG Haigang, XIE Jinhuai, LIU Jiaqi, GONG Lijia, LI Zhi Journal of Shanghai Jiao Tong University    2024, 58 (7): 995-1005.   DOI: 10.16183/j.cnki.jsjtu.2023.073 Abstract （1573）   HTML （9）    PDF（pc） （6512KB）（1312）       Knowledge map    Save The depth distribution characteristics of particle velocity field intensity have had a significant impact on underwater acoustic detection and estimation. In this paper, based on the approximate conditions of the incoherent normal modes sum transformation to angular integration, the angular integration form of incoherent normal modes of particle velocity was derived, which avoided the complex calculations of eigenvalues and eigenfunctions while revealing the physical mechanism behind the significant variations in particle velocity intensity with source depth and symmetrical depth. The numerical results demonstrate that the analytical expression of the angular integration of incoherent particle velocity can facilitate fast computation and effectively characterize the depth distribution characteristics of particle velocity intensity. Additionally, due to the superposition effect of the amplitude function of normal modes, there are notable differences in the depth distribution of vertical and horizontal particle velocity. Subsequently, focusing on the intensity difference of particle velocity, the study analyzed the effects of parameters such as horizontal distance, source frequency, sound speed profile, and water depth on the depth distribution characteristics of particle velocity field intensity. The findings provide a theoretical basis for passive target depth estimation based on vector fields. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Multi-Agent Path Planning Method Based on Improved Deep Q-Network in Dynamic Environments LI Shuyi (李舒逸), LI Minzhe (李旻哲), JING Zhongliang∗ (敬忠良) J Shanghai Jiaotong Univ Sci    2024, 29 (4): 601-612.   DOI: 10.1007/s12204-024-2732-1 Abstract （652）      PDF（pc） （1213KB）（270）       Knowledge map    Save The multi-agent path planning problem presents significant challenges in dynamic environments, primarily due to the ever-changing positions of obstacles and the complex interactions between agents’ actions. These factors contribute to a tendency for the solution to converge slowly, and in some cases, diverge altogether. In addressing this issue, this paper introduces a novel approach utilizing a double dueling deep Q-network (D3QN), tailored for dynamic multi-agent environments. A novel reward function based on multi-agent positional constraints is designed, and a training strategy based on incremental learning is performed to achieve collaborative path planning of multiple agents. Moreover, the greedy and Boltzmann probability selection policy is introduced for action selection and avoiding convergence to local extremum. To match radar and image sensors, a convolutional neural network - long short-term memory (CNN-LSTM) architecture is constructed to extract the feature of multi-source measurement as the input of the D3QN. The algorithm’s efficacy and reliability are validated in a simulated environment, utilizing robot operating system and Gazebo. The simulation results show that the proposed algorithm provides a real-time solution for path planning tasks in dynamic scenarios. In terms of the average success rate and accuracy, the proposed method is superior to other deep learning algorithms, and the convergence speed is also improved. Reference | Related Articles | Metrics | Comments（0）

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Fault-Tolerant Dynamical Consensus of Double-Integrator Multi-Agent Systems in the Presence of Asynchronous Self-Sensing Function Failures WU Zhihai∗ (吴治海), XIE Linbo (谢林柏) J Shanghai Jiaotong Univ Sci    2024, 29 (4): 613-624.   DOI: 10.1007/s12204-024-2716-1 Abstract （151）      PDF（pc） （540KB）（60）       Knowledge map    Save Double-integrator multi-agent systems (MASs) might not achieve dynamical consensus, even if only partial agents suffer from self-sensing function failures (SSFFs). SSFFs might be asynchronous in real engineering application. The existing fault-tolerant dynamical consensus protocol suitable for synchronous SSFFs cannot be directly used to tackle fault-tolerant dynamical consensus of double-integrator MASs with partial agents subject to asynchronous SSFFs. Motivated by these facts, this paper explores a new fault-tolerant dynamical consensus protocol suitable for asynchronous SSFFs. First, multi-hop communication together with the idea of treating asynchronous SSFFs as multiple piecewise synchronous SSFFs is used for recovering the connectivity of network topology among all normal agents. Second, a fault-tolerant dynamical consensus protocol is designed for doubleintegrator MASs by utilizing the history information of an agent subject to SSFF for computing its own state information at the instants when its minimum-hop normal neighbor set changes. Then, it is theoretically proved that if the strategy of network topology connectivity recovery and the fault-tolerant dynamical consensus protocol with proper time-varying gains are used simultaneously, double-integrator MASs with all normal agents and all agents subject to SSFFs can reach dynamical consensus. Finally, comparison numerical simulations are given to illustrate the effectiveness of the theoretical results. Reference | Related Articles | Metrics | Comments（0）

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Event-Triggered Fixed-Time Consensus of Second-Order Nonlinear Multi-Agent Systems with Delay and Switching Topologies XING Youjing1 (邢优靖), GAO Jinfeng1∗ (高金凤), LIU Xiaoping1, 2 (刘小平), WU Ping1 (吴平) J Shanghai Jiaotong Univ Sci    2024, 29 (4): 625-639.   DOI: 10.1007/s12204-024-2695-2 Abstract （222）      PDF（pc） （1059KB）（64）       Knowledge map    Save To address fixed-time consensus problems of a class of leader-follower second-order nonlinear multiagent systems with uncertain external disturbances, the event-triggered fixed-time consensus protocol is proposed. First, the virtual velocity is designed based on the backstepping control method to achieve the system consensus and the bound on convergence time only depending on the system parameters. Second, an event-triggered mechanism is presented to solve the problem of frequent communication between agents, and triggered condition based on state information is given for each follower. It is available to save communication resources, and the Zeno behaviors are excluded. Then, the delay and switching topologies of the system are also discussed. Next, the system stabilization is analyzed by Lyapunov stability theory. Finally, simulation results demonstrate the validity of the presented method. Reference | Related Articles | Metrics | Comments（0）

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Clinical application value of spinal robot assisted system in MIS-TLIF surgery LIU Yang, LIU Daokuo, LI Changkuan, et al Journal of Tissue Engineering and Reconstructive Surgery    2024, 20 (3): 300-.   Abstract （264）      PDF（pc） （3575KB）（80）       Knowledge map    Save Objective To study the clinical application value of spinal robot assisted system in minimally invasive transforaminal fusion （MIS-TLIF） surgery. Methods From March 2019 to November 2022，78 patients who underwent surgical treatment for lumbar degenerative diseases were divided into traditional MIS-TLIF group （group A，41 cases） and robotic MIS-TLIF group （group B，37 cases） according to different surgical methods. Perioperative indicators （intraoperative bleeding， surgical time， incision length， and fluoroscopy frequency）， postoperative CT findings （screw placement accuracy，screw abduction angle）， functional recovery （VAS， JOA scores）， and perioperative complications were compared between the two groups. Results The intraoperative bleeding volume and fluoroscopy frequency in Group B were less than those in Group A， and the operative time and incision length were shorter than those in Group A （P<0.05） . A total of 164 screws were implanted in Group A，148 in Group B. The acceptable screws in Group B were significantly higher than those in Group A （P< 0.05） . The abduction angle of screws in Group A was 18.12°±7.50°， and that in Group B was 23.56°±6.64°. The abduction angle in Group B was greater than that in Group A （P<0.05） . One month after surgery， the VAS score of the two groupsdecreased compared to that before surgery， while the JOA score increased （P<0.05）.However， there was no statistically significant difference between the two groups （P>0.05）.There were no serious complications such as blood vessels and nerves in both groups； In group A，3 patient had a positioning error and 2 patient had a dural sac tear， all of which recovered after corresponding treatment； Group B had no early complications. The incidence of early complications in Group B was lower than  that in Group A （P<0.05）.Conclusion The spinal robot assisted system can shorten the operation time of MIS-TLIF，reduce intraoperative bleeding， and improve the accuracy of pedicle screw placement. It has high clinical application value. Related Articles | Metrics | Comments（0）

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Status and influencing factors of stigma in patients with port wine stains in the head and neck JIANG Yan, Ran Xuehui, LIN Xiaoxi, et al Journal of Tissue Engineering and Reconstructive Surgery    2024, 20 (3): 335-.   Abstract （217）      PDF（pc） （1050KB）（261）       Knowledge map    Save Objective To explore the current status and influencing factors of stigma in patients with port wine stains （PWS） in the head and neck. Methods Using the convenient sampling method，113 patients with PWS in the head and neck from August 2022 to December 2022 were recruited. The general demographic data questionnaire， stigma scale for chronic illness （SSCI）， social impact scale （SIS） and self-esteem scale （SES） were used to conduct a questionnaire survey. Results The SSCI score of patients with PWS was 50.61±22.2， and the SIS score was 48.71±15.17. Single-factor analysis of variance showed that the influencing factors of stigma were education level， monthly income， treatment times， lesion location， and lesion size （P<0.05）； The SES score of patients with PWS was 24.75±4.92， and single-factor analysis of variance showed that the influencing factors of self-esteem were monthly income and job absence （P<0.05）.SSCI scores andSIS scores were negatively correlated with SES scores （P<0.01）.Conclusion Patients with PWS had a moderate level of stigma and a low level of self-esteem. Both chronic illness stigma and social impact stigma are significantly negatively correlated with the level of self-esteem. Medical staff should provide appropriate guidance to patients during treatment， enhancing patients’ confidence and guiding patients to face the disease positively， and meanwhile， call on the public to give more concern to patients with chronic skin diseases. Related Articles | Metrics | Comments（0）

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Discussion on talent cultivation of plastic surgery in the new era ZHANG Hanrui, HUANG Xin, LI Qingfeng, et al Journal of Tissue Engineering and Reconstructive Surgery    2024, 20 (3): 388-.   Abstract （222）      PDF（pc） （927KB）（115）       Knowledge map    Save Plastic surgery is a specialized branch of surgery that has two main development directions： Reconstructive plastic surgery and aesthetic plastic surgery. In recent years， there has been a growing inclination among young doctors to prioritize aesthetic plastic surgery over reconstructive surgery， which has hindered the sustainable development of plastic surgery. Meanwhile， emerging technology has provided new opportunities for talent cultivation. The education model for young doctors should advance with time. Therefore， the recommendations such as strengthening medical history education， guiding correct understanding， and innovating teaching models， have been proposed to improve the quality and efficiency of talent cultivation. These efforts aim to cultivate highly qualified talents with strong professional skills and a sense of responsibility， who can adapt to the development needs of the discipline. Related Articles | Metrics | Comments（0）

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Review of High Voltage Ride-Through Control Method of Large-Scale Wind Farm WEI Juan, LI Canbing, HUANG Sheng, CHEN Sijie, GE Rui, SHEN Feifan, WEI Lai Journal of Shanghai Jiao Tong University    2024, 58 (6): 783-797.   DOI: 10.16183/j.cnki.jsjtu.2022.416 Abstract （2190）   HTML （18）    PDF（pc） （1884KB）（643）       Knowledge map    Save As the major demand for the development and utilization of new energy, the large-scale development of wind power is a key support in achieving the strategic goal of “cabron peaking and carbon neutrality” for China. The problem of safe and stable operation of wind farms caused by external grid faults has become one of the key bottlenecks restricting the large-scale, clustered, and intelligent development of wind power. This paper mainly focuses on the voltage surge condition of the power grid. First, it analyzes the transient characteristics of high voltage ride-through (HVRT) of the doubly-fed induction generator-wind turbine, permanent magnet synchronous generator-wind turbine, and wind farms. Then, it summarizes the corresponding HVRT and post-fault voltage recovery coordinated optimal control strategies based on the different control areas, and it classifies and compares the working principles and advantages and disadvantages of various control strategies. Afterwards, it recapitulates the principle, advantages and disadvantages, and effects of the existing HVRT control method for large-scale wind farms, and analyzes the differences between the single wind turbine and the large-scale wind farms from the perspective of control structure. Finally, it discusses the development trend and potential research hotspots of wind farm voltage intelligent safety control in the future, aiming to provide reference for improving the large-scale application of wind power and the safe operation of power grids in China. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(2)

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Dynamic Equivalence Modeling of Short-Circuit Faults in Wind Farms Considering Wake Effects YU Hao, LI Canbing, YE Zhiliang, PENG Sui, REN Wanxin, CHEN Sijie, TANG Binwei, CHEN Dawei Journal of Shanghai Jiao Tong University    2024, 58 (6): 798-805.   DOI: 10.16183/j.cnki.jsjtu.2022.476 Abstract （1256）   HTML （11）    PDF（pc） （2071KB）（1474）       Knowledge map    Save Fast and accurate analysis of the short-circuit characteristics of large wind farms has important engineering application value, and the short-circuit characteristics of wind farms under the influence of the wake effect vary greatly. Therefore, it is necessary to establish a wind farm short-circuit fault time equivalence model. A wind farm short-circuit fault dynamic equivalence method considering the effect of wake effect is proposed. First, the wake effect factor is defined to reflect the degree of the unit affected by the wake effect. Then, the wake effect factor is used as the grouping basis to reduce the variability of operating state of the units within the group under the influence of the wake effect. A positive- negative- zero-sequence network equivalence method is analyzed to improve the effectiveness of the equivalence model in asymmetric short-circuit faults. An equivalence method suitable for zero-sequence network is proposed and a platform is built for verification. The simulation results show that the dynamic short-circuit fault equivalence model proposed can accurately reflect the active and reactive short-circuit output characteristics of wind farms under the influence of the wake effect. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(1)

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Short-Term Interval Forecasting of Photovoltaic Power Based on CEEMDAN-GSA-LSTM and SVR LI Fen, SUN Ling, WANG Yawei, QU Aifang, MEI Nian, ZHAO Jinbin Journal of Shanghai Jiao Tong University    2024, 58 (6): 806-818.   DOI: 10.16183/j.cnki.jsjtu.2022.511 Abstract （1694）   HTML （12）    PDF（pc） （2987KB）（306）       Knowledge map    Save Aimed at the intermittency and fluctuation of photovoltaic output power, a short-term interval prediction model of photovoltaic power is proposed. First, the model uses the complete ensemble empirical mode decomposition of adaptive noise (CEEMDAN) to decompose the historical photovoltaic output data into different components and define them as time-series components and random components according to their correlation with time-series features such as declination and time angles. Then, the long short-term memory (LSTM) neural network and the support vector regression (SVR) model optimized by the gravitational search algorithm (GSA) are used to predict the time series components and the random components respectively, and the prediction results of the time series components and the random components are superimposed to obtain the point prediction result. After the error is subjected to Johnson transformation and normal distribution modeling, the photovoltaic power interval prediction result is obtained. Finally, the effectiveness of the method is verified by an example. The comparison of the proposed model with other existing prediction models under different weather conditions suggests that the proposed model has a higher accuracy and a better robustness, which can provide precise confidence intervals based on point prediction values. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(1)

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Drive System Technique    2024, 38 (2): 3-9.   Abstract （11）            Knowledge map    Save Related Articles | Metrics | Comments（0）

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China Alzheimer Report 2024 WANG Gang, QI Jinlei, LIU Xinya, REN Rujing, LIN Shaohui, HU Yisong, LI Haixia, XIE Xinyi, WANG Jintao, LI Jianping, ZHU Yikang, GAO Mengyi, YANG Junjie, WANG Yiran, JING Yurong, GENG Jieli, ZHI Nan, CAO Wenwei, XU Qun, YU Xiaoping, ZHU Yuan, ZHOU Ying, WANG Lin, GAO Chao, LI Binyin, CHEN Shengdi, YUAN Fang, DOU Ronghua, LIU Xiaoyun, LI Xuena, YIN Yafu, CHANG Yan, XU Gang, XIN Jiawei, ZHONG Yanting, LI Chunbo, WANG Ying, ZHOU Maigeng, CHEN Xiaochun, representing the China Alzheimer's Disease Report Writing Group Journal of Diagnostics Concepts & Practice    2024, 23 (03): 219-256.   DOI: 10.16150/j.1671-2870.2024.03.001 Abstract （15544）   HTML （1125）    PDF（pc） （3389KB）（12456）       Knowledge map    Save With the sustained growth of economy and significant changes in social demographics, the issue of elderly-related diseases has increasingly drawn attention particularly. Alzheimer's disease (AD),as a representative disease of neurodegenerative diseases has become a major challenge, affecting the health and quality of life among the elderly population severely. In recent years, the incidence, prevalence, and mortality rate of AD increase in China, imposing substantial economic burdens on families, society, and the entire healthcare system. To proactively address this challenge and respond to the national 'Healthy China Action' initiative, leading experts from Renji Hospital, Shanghai Jiao Tong University School of Medicine,and Chinese Center for Disease Control and Prevention Chronic Non-communicable Disease Control Center, Fudan University School of Public Health, Shanghai Mental Health Center, Ruijin Hospital,Shanghai Jiao Tong University School of Medicine, Fujian Medical University, and other authoritative institutions, have jointly authored the 'China Alzheimer Disease Report 2024'. Building upon previous editions of 2021, 2022, and 2023, this report updates epidemiological data on AD in China, thoroughly analyzes the latest economic burdens of the disease, and comprehensively evaluates the current status of AD diagnosis and treatment services, as well as the allocation of public health resources in our country. The release of the 'China Alzheimer Disease Report 2024' not only reflects China's progress and efforts in AD research and prevention, but also underscores the social heightened concern for elderly health issues. It aims to provide scientific and technical guidance and robust data support for the prevention, diagnosis, and treatment of AD, offering a professional basis for the government and relevant departments to formulate targeted health policies and intervention measures. Furthermore, it serves as a platform for promoting academic exchanges and cooperation in this field domestically and internationally. Through the dissemination and application of this report, we anticipate it will not only serve as a reference for professionals but also enhance public awareness of AD, promote active participation across various sectors of society, and jointly advance the development of elderly health care in China, empowering us towards achieving 'healthy aging'. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Key Technologies and Applications of Shared Energy Storage SONG Meng, LIN Gujing, MENG Jing, GAO Ciwei, CHEN Tao, XIA Shiwei, BAN Mingfei Journal of Shanghai Jiao Tong University    2024, 58 (5): 585-599.   DOI: 10.16183/j.cnki.jsjtu.2022.360 Abstract （1714）   HTML （38）    PDF（pc） （4173KB）（601）       Knowledge map    Save Under the goal of “carbon peaking and carbon neutrality”, the penetration rate of renewable energy continues to rise, whose volatility, intermittency, and uncertainty pose significant challenges to the safe and stable operation of the power system. As a typical application of the sharing economy in the field of energy storage, shared energy storage (SES) can maximize the utilization of resources by separating the “ownership” and “usage” of energy storage resources, which provides a new solution to the problem of imbalance between supply and demand caused by the large-scale integration of renewable energy into the grid, and has broad development prospects. The business model of SES is explored based on value positioning, cost modeling, and profitability strategies, and a detailed summary of SES trading varieties, operational structure, and engineering applications is discussed. Finally, the future trend of shared energy storage is discussed and envisioned. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(2)

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Dynamic Optimization of Carbon Reduction Pathways in Coastal Metropolises Considering Hidden Influence of Decarbonization on Energy Demand XIAO Yinjing, ZHANG Di, WEI Juan, GE Rui, CHEN Dawei, YANG Guixing, YE Zhiliang Journal of Shanghai Jiao Tong University    2024, 58 (5): 600-609.   DOI: 10.16183/j.cnki.jsjtu.2022.437 Abstract （1249）   HTML （20）    PDF（pc） （1733KB）（302）       Knowledge map    Save Setting a reasonable carbon reduction plan in coastal metropolises is the key part to reach the global carbon target. Carbon reduction will change urban climate and influence energy demand, both of which affect the optimization results of carbon reduction pathways. Current generation expansion optimization models consider direct abatement contribution and solve most problems of planning for long-term carbon emission reduction in energy systems. However, the construction of new type power systems also indirectly impacts carbon emissions by changing microclimate factors such as heat island intensity. By combining generation expansion with carbon emission prediction model, the proposed approach in this paper considers the hidden mechanism of carbon and heat emission change on air-conditioning loads and dynamically optimizes the carbon reduction pathways in coastal metropolises. Taking Pudong Area in Shanghai as an example, the estimated cost of carbon reduction is reduced by the proposed approach. Some suggestions for the carbon reduction in coastal metropolises are made according to the simulation results. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）

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Bi-Level Optimization Operation Method of Multi-H2-IES Considering Dynamic Carbon Emission Factors FU Wenxi, DOU Zhenlan, ZHANG Chunyan, WANG Lingling, JIANG Chuanwen, XIONG Zhan Journal of Shanghai Jiao Tong University    2024, 58 (5): 610-623.   DOI: 10.16183/j.cnki.jsjtu.2022.225 Abstract （1257）   HTML （21）    PDF（pc） （2901KB）（103）       Knowledge map    Save In the context of achieving “carbon peaking and carbon neutrality”, the low-carbon transformation of the energy system is the development direction in the future. Hydrogen, known for its high calorific value and low pollution, has received extensive attention in recent years. Based on the carbon emission flow theory, a bi-level optimization operation model of multi-integrated energy system with hydrogen (H2-IES) is proposed considering dynamic carbon emission factors. At the upper level, an economic dispatch model is established by the main energy grid based on the principle of optimal benefit, and the energy prices and carbon emission factors of each park are determined and distributed to the lower level. At the lower level, a multi-park low-carbon cooperative operation model is established based on the Nash negotiation theory, and the adaptive alternating direction method of multipliers (A-ADMM) is used for distributed solution to determine the energy demand of each park and provide feedback to the upper level. The coordinated operation of both levels is realized in multiple iterative interactions. To equitably distribute the benefits of cooperation, a revenue distribution method based on comprehensive bargaining power is proposed. The analysis of a case study shows that the bi-level optimization method proposed in this paper can realize the coordinated operation between the upper and lower levels, and take into account the low-carbon and economical properties of multi-parks operation. Because the income is reasonably distributed, the enthusiasm of parks to participate in cooperation can be guaranteed. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）

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