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    Advances in Medicine-Engineering Crossover in Automated Anesthesia
    XU Tianyi (徐天意), XIA Ming (夏明), JIANG Hong (姜虹)
    J Shanghai Jiaotong Univ Sci    2022, 27 (2): 137-143.   DOI: 10.1007/s12204-021-2329-x
    Abstract115)      PDF (156KB)(38)      
    Medicine-engineering crossover refers to the cross-fertilization of multiple disciplines to meet clinical needs through various means, including engineering, which greatly promotes medical development. In the development of anesthesiology, improvements in anesthesia equipment and continuous innovation of anesthesia technology are all closely related to the integration of medicine and engineering. In recent years, the exploration and development of automated anesthesia equipment has led to closer integration of medicine, engineering, and other disciplines, including the development of robots in anesthesia, automated monitoring and alarm technology,automated perioperative management, and remote anesthesia. Herein, the current status of applications and development of medicine-engineering crossover in the field of automated anesthesia are discussed.
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    Application of Digital Medicine in Addiction
    WU Xiaojun (吴萧俊), DU Jiang (杜江), JIANG Haifeng (江海峰), ZHAO Min (赵敏)
    J Shanghai Jiaotong Univ Sci    2022, 27 (2): 144-152.   DOI: 10.1007/s12204-021-2391-4
    Abstract60)      PDF (185KB)(20)      
    Digital medicine plays an important role in disease assessment, psychological intervention, and relapse management in mental illnesses. Patients with substance use disorders can be easily affected by the environment and negative emotions, inducing addiction and relapse. However, due to social discrimination, stigma, or economic issues, they are unwilling to go to the hospital for treatment, making it difficult for health workers to track their health changes. Additionally, mental health resources in China are insufficient. Digital medicine aims to solve these problems. This article reviews digital medicine in the field of addiction, hoping to provide a reference for the future exploration of more individualized and effective digital medicine.
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    Risk Prediction Model of Gallbladder Disease in Shanghai Middle-Aged and Elderly People Based on Neural Networks
    YUAN Xiaoqi (袁筱祺), ZHU Lelan (朱乐兰), XU Qiongfan(徐琼凡), GAO Wei (高玮)
    J Shanghai Jiaotong Univ Sci    2022, 27 (2): 153-159.   DOI: 10.1007/s12204-021-2386-1
    Abstract36)      PDF (345KB)(10)      
    This paper discusses the risk factors related to gallbladder disease in Shanghai, improves the accuracy of risk prediction, and provides a theoretical basis for scientific diagnosis and universality of gallbladder disease.We selected 3 462 data of middle-aged and elderly health check-up patients in a general hospital in Shanghai,and divided into gallbladder disease group according to color doppler ultrasound diagnosis results. Single-factor analysis screened out 8 important risk factors, which were used as an analysis variable of multi-layer perceptron neural network and binary logistic regression to construct the prediction model of gallbladder disease. The prediction accuracy of the multi-layer perceptron neural network risk prediction model is 76%. The area under the receiver operating characteristic curve (AUC) is 0.82, the maximum Youden index is 0.44, the sensitivity is 79.51, and the specificity is 64.23. The prediction accuracy of the multi-layer perceptron neural network model is better than that of the binary logistic regression prediction model. The overall prediction accuracy of the binary logistic regression prediction model is 75.60%, the AUC is 0.81, the maximum Youden index is 0.42, the sensitivity is 74.48, and the specificity is 57.60. In the objective risk prediction of gallbladder disease in middle-aged and elderly people in Shanghai, the risk prediction model based on the multi-layer perceptron neural network has a better prediction performance than the binary logistic regression model, which provides a theoretical basis for preventive treatment and intervention.
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    Journal of Surgery Concepts & Practice    2022, 27 (01): 11-13.  
    Abstract71)      PDF (394KB)(56)      
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    Journal of Surgery Concepts & Practice    2022, 27 (01): 14-21.  
    Abstract40)      PDF (1782KB)(44)      
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    Journal of Surgery Concepts & Practice    2022, 27 (01): 19-21.  
    Abstract44)      PDF (426KB)(28)      
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    Journal of Surgery Concepts & Practice    2022, 27 (01): 22-24.  
    Abstract29)      PDF (686KB)(14)      
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    Journal of Surgery Concepts & Practice    2022, 27 (01): 25-29.  
    Abstract39)      PDF (453KB)(51)      
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    Journal of Surgery Concepts & Practice    2022, 27 (01): 30-33.  
    Abstract30)      PDF (442KB)(23)      
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    Journal of Surgery Concepts & Practice    2022, 27 (01): 34-38.  
    Abstract38)      PDF (690KB)(19)      
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    Journal of Surgery Concepts & Practice    2022, 27 (01): 39-41.  
    Abstract26)      PDF (371KB)(14)      
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    Journal of Surgery Concepts & Practice    2022, 27 (01): 42-45.  
    Abstract25)      PDF (388KB)(10)      
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    Journal of Surgery Concepts & Practice    2022, 27 (01): 46-51.  
    Abstract33)      PDF (979KB)(32)      
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    Journal of Surgery Concepts & Practice    2022, 27 (01): 1-5.  
    Abstract56)      PDF (1035KB)(23)      
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    Journal of Surgery Concepts & Practice    2022, 27 (01): 6-10.  
    Abstract39)      PDF (603KB)(17)      
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    Defining and Classifying Translation in Transknowletology
    YANG Feng
    Contemporary Foreign Languages Studies    2022, 457 (1): 1-4.  
    Abstract168)      PDF (376KB)(70)      
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    An Epistemological Interpretation of Translation
    LI Ruilin
    Contemporary Foreign Languages Studies    2022, 457 (1): 47-59.   DOI: 10.3969/j.issn.1674-8921.2022.01.003
    Abstract262)   HTML19)    PDF (376KB)(116)      

    Knowledge structuring is of prime importance to the internal building of any discipline in its own right and has a close bearing on its scholarly status of legitimacy and autonomy. Following this line of thought, the present article briefly re-examines the major problems with the conventional reductionist approaches to translation, including the marginalization of the central object, a lack of consilience in TS knowledge and the desirability of overall explanatory power, and for that matter, it attempts to identify a highly competitive bridge concept that is most likely to link together the linguistic, socio-cultural, cognitive, communicative and technological views of translation. To that end, it first incorporates TS into the interpretive space of epistemological analysis, then explores the potential relationship between the binary features of human cognition and translation per se, and consequently comes up with the ensuing set of claims: cognitive asymmetry serves as a necessary condition for the extensive engagement of translation in the ever-evolving world of humanity, knowledge (experiential and rational) as an end result of cognition plays a central role in any sphere of translational activity, and translation, in the ultimate analysis, is sustained by the notion of cross-linguistic knowledge transfer. The key notion taken into full account, a knowledge-centered ontological structure is mapped out to highlight translation as a core mechanism for the cross-linguistic reproduction and circulation of all forms of knowledge, which is assumed to make recourse to both re-conceptualization and re-contextualization processes in real-world scenarios of intercultural communication. The newly proposed minimalist framework of translation is expected to provide a viable point of access for generating a theoretically unified and practically relevant paradigm of Translation Studies.

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    Translation as Knowledge Production, Management, and Utilization: Towards Transknowletology
    QIN Jianghua
    Contemporary Foreign Languages Studies    2022, 457 (1): 60-71.   DOI: 10.3969/j.issn.1674-8921.2022.01.004
    Abstract139)   HTML32)    PDF (1748KB)(171)      

    Translation is understood as knowledge production, knowledge management, and knowledge utilization in this paper. First, we can reconceptualize the essence and value of translation from the perspective of knowledge production. When translation is redefined as knowledge transfer, discourse reconstruction, and value creation, there will be no linear relation between source text (ST) and target text (TT). The authority of the author and the ST is deconstructed, and the subjectivity and agency of the translator and the TT is affirmed; By re-examining the local and global nature of knowledge, we see translation as an important way for the local to go global, highlighting its universal aspect. Second, we can turn tacit knowledge into explicit one, or vice versa, and develop a set of tools for personal and/or organizational knowledge management, to improve language service and translation education, to better implement state translation programs, and to meet the challenges of knowledge management in a digitalized society. Third, we can accelerate the pace of change and bridge the “know-do gap” between theory and application, or knowledge and action, through knowledge utilization, by which we can also increase the interaction, exchange, and dialogue among different stakeholders and communities.

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    Transknowletology: the Translator’s Personal Knowledge and Knowing Modal
    PANG Xiucheng
    Contemporary Foreign Languages Studies    2022, 457 (1): 72-82.   DOI: 10.3969/j.issn.1674-8921.2022.01.005
    Abstract115)   HTML29)    PDF (1633KB)(59)      

    The cultural turn has strengthened the subjectivity of the translator so much as to randomly use it in research and practice. To direct the subjectivity into the scientific, objective and positive orbit, we need to create a new path, namely, transknowletology (or knowledge-oriented translation studies ), so that all basic issues are to be reconsidered, particularly with regard to the nature, target, text, criteria, process and subject-object relationship, etc. Thus, new domain of discussion will be opened. This approach resets its starting point and ushers the translator into a way of analyzing the text, with the attitude and spirit of seeking knowledge with the aim of obtaining the truth at three levels, namely, isness, possibleness and oughtness and taking the three as a progressive modal in translation.

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    Eye Robotic System for Vitreoretinal Surgery
    DAI Qianlin (代倩琳), XU Mengqiao (徐梦乔), SUN Xiaodong (孙晓东), XIE Le∗ (谢叻)
    J Shanghai Jiaotong Univ Sci    2022, 27 (1): 1-6.   DOI: 10.1007/s12204-021-2369-2
    Abstract233)      PDF (1040KB)(210)      
    Micro incision vitrectomy system (MIVS) is considered to be one of the most difficult tasks of eye surgery, due to its requirements of high accuracy and delicate operation under blurred vision environment. Therefore, robot-assisted ophthalmic surgery is a potential and efficient solution. Based on that consideration, a novel master-slave system for vitreoretinal surgery is realized. A 4-DOF remote center of motion (RCM) mechanism with a novel linear stage and end-effector is designed and the master-slave control system is implemented. The forward and inverse kinematics are analyzed for the controller implementation. Then, algorithms with motion scaling are also integrated into the control architecture for the purpose to enhance the surgeon’s operation accuracy. Finally, experiments on an eye model are conducted. The results show that the eye robotic system can fulfill surgeon’s motion following and simulate operation of vitrectomy, demonstrating the feasibility of this system.
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    Development of a Robotic Cochlear Implantation System
    CHEN Ziyun (陈子云), XIE Le (谢叻), DAI Peidong (戴培东), ZHANG Tianyu (张天宇)
    J Shanghai Jiaotong Univ Sci    2022, 27 (1): 7-14.   DOI: 10.1007/s12204-021-2381-6
    Abstract151)      PDF (1384KB)(56)      
    Traditional cochlear implantation surgery has problems such as high surgical accuracy requirement and large trauma, which cause the difficulty of the operation and the high requirements for doctors, so that only a few doctors can complete the operation independently. However, there is no research on robotic cochlear implantation in China. In response to this problem, a robotic cochlear implantation system is proposed. The robot is controlled by robot operating system (ROS). A simulation environment for the overall surgery is established on the ROS based on the real surgery environment. Through the analysis of the kinematics and the motion planning algorithm of the manipulator, an appropriate motion mode is designed to control the motion of the manipulator, and perform the surgery under the simulation environment. A simple and feasible method of navigation is proposed, and through the model experiment, the feasibility of robotic cochlear implantation surgery is verified.
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    Teleoperated Puncture Robot System: Preliminary Design and Workspace Analysis
    HU Bo (胡博), LIN Yanping∗ (林艳萍), CHEN Shihang (陈士行), WANG Fang (汪方), MA Xiaojun (马小军), CAO Qixin (曹其新)
    J Shanghai Jiaotong Univ Sci    2022, 27 (1): 15-23.   DOI: 10.1007/s12204-021-2368-3
    Abstract130)      PDF (1455KB)(37)      
    Radiofrequency ablation (RFA) guided by X-ray images aims to relieve herniated disc pain with minimal invasiveness and fast recovery. It requires an accurate and fast positioning of the puncture needle. We propose a teleoperated robotic system for percutaneous puncture to support RFA. We report the kinematics modelling and workspace analysis of the proposed system, which comprises preliminary and accurate positioning mechanisms. Preliminary positioning mechanism automatically drives the needle to the puncture area, and accurate positioning is then achieved by teleoperation under the guidance of X-ray images. We calculate the teleoperation workspace of the robot system using a spatial search algorithm and quantitatively analyze the optimal structural parameters aiming to maximize the workspace. The workspace of the proposed robot system complies with clinical requirements to support RFA.
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    Journal of Surgery Concepts & Practice    2021, 26 (06): 467-471.  
    Abstract101)      PDF (689KB)(82)      
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    Journal of Surgery Concepts & Practice    2021, 26 (06): 472-475.  
    Abstract83)      PDF (538KB)(45)      
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    Journal of Surgery Concepts & Practice    2021, 26 (06): 476-481.  
    Abstract73)      PDF (1560KB)(28)      
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    Journal of Surgery Concepts & Practice    2021, 26 (06): 482-485.  
    Abstract70)      PDF (589KB)(32)      
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    Development Pathway of China’s Clean Electricity Under Carbon Peaking and Carbon Neutrality Goals
    HUANG Qiang, GUO Yi, JIANG Jianhua, MING Bo
    Journal of Shanghai Jiao Tong University    2021, 55 (12): 1499-1509.   DOI: 10.16183/j.cnki.jsjtu.2021.272
    Abstract476)   HTML66)    PDF (1849KB)(248)      

    Nowadays, the third energy revolution has taken place. Many developed countries have formulated clean energy development strategies and announced the time for phasing out thermal and nuclear power to reduce carbon emissions. Meanwhile, China has made a commitment to the world that the carbon emissions of China will peak before 2030, and the carbon neutrality will be achieved before 2060. Therefore, it is of great significance to study the development pathway of clean electricity of China. The reserves and characteristics of clean energy such as hydro, wind, and solar in China are analyzed. The medium and long-term power demand of China is projected, and the power system structure in 2030 and 2050 are respectively estimated based on the electric power and energy balance equations. In addition, the trend of carbon emissions is also analyzed. Some suggestions are proposed to guide the development of China’s clean electricity. The results indicate that the “carbon peaking” of China’s power system would arrive in 2027, and the clean electricity of China is projected to exceed 50% of the total energy production in 2030. Thermal and nuclear power can be replaced by clean electricity such as hydro, wind, and solar energy in 2050, the power industry will achieve “zero CO2 emission”, and the transformation of the green power system will be achieved in response to carbon peaking and carbon neutrality goals.

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    A Novel Weather Classification Method and Its Application in Photovoltaic Power Prediction
    LI Fen, ZHOU Erchang, SUN Gaiping, BAI Yongqing, TONG Li, LIU Bangyin, ZHAO Jinbin
    Journal of Shanghai Jiao Tong University    2021, 55 (12): 1510-1519.   DOI: 10.16183/j.cnki.jsjtu.2021.264
    Abstract297)   HTML17)    PDF (1327KB)(113)      

    To improve the accuracy of photovoltaic (PV) power prediction, this paper proposes a novel weather classification method. First, it distinguishs the clear days and cloudy days according to the total cloud cover. Then, it further classifies the cloudy days into three subtypes to investigate whether the sun is obscured by clouds. This method can effectively identify the characteristics of key meteorological environmental factors that affect PV output and form a new classification index sky condition factor (SCF) by weighted summation. This method has clear physical meanings, good discrimination, and easy quantification. The reasonable classification of weather types can eliminate the coupling relationship between many meteorological environmental factors and reduce the dimension of input variables, which makes it easy for statistical modeling. Based on the theoretical and the statistical approachs respectively, the modeling and verification are conducted and the results show that the method can effectively improve the accuracy of PV power prediction.

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    Distributed Photovoltaic Net Load Forecasting in New Energy Power Systems
    LIAO Qishu, HU Weihao, CAO Di, HUANG Qi, CHEN Zhe
    Journal of Shanghai Jiao Tong University    2021, 55 (12): 1520-1531.   DOI: 10.16183/j.cnki.jsjtu.2021.244
    Abstract438)   HTML22)    PDF (69168KB)(257)      

    To respond to the demand of achieving carbon peaking and carbon neutrality goals, and to construct a complete “source-grid-load-storage” new energy power system, a distributed photovoltaic net load forecasting model based on Hamiltonian Monte Carlo inference for deep Gaussian processes (HMCDGP) is proposed. First, direct and indirect forecasting methods are used to examine the accuracy of the proposed model and to obtain spot forecasting results. Then, the proposed model is used to perform probability forecasting experiments and produce interval prediction results. Finally, the superiority of the proposed model is verified through the comparative experiments based on the net load data of 300 households recorded by Australia Grid. After obtaining the exact net load probabilistic forecasting results, the photovoltaic production can be fully utilized via power dispatch, which can reduce the use of fossil energy and further reduce the carbon emission.

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    Influence of Thermal Modification on Al-Si Coating of Hot-Stamped 22MnB5 Steel: Microstructure, Phase Transformation, and Mechanical Properties
    WANG Qiongyan (王琼燕), LIN Wenhu (林文虎),LI Fang∗ (李芳), SHEN Chen (沈忱), HUA Xueming (华学明)
    J Shanghai Jiaotong Univ Sci    2021, 26 (6): 747-756.   DOI: 10.1007/s12204-021-2267-7
    Abstract141)      PDF (3340KB)(77)      
    The hot-stamped steel with ultrahigh strength is a promising material for the fabrication of automotivecomponents. However, the coating on the sheet surface leads to a softening problem in the welded joint. Instead ofthe costly coating removal process, heat treatment is an economical and effective method for the diffusion process,which can decrease the Al concentration in the coating. In this study, a preheating treatment was carried out onAl-Si-coated 22MnB5 hot-stamped steels for the homogeneity of Al, followed by laser welding and hot stamping.The effects of the preheating on the microstructure and mechanical properties of the laser-welded joints wereinvestigated. With the preheating treatment, the Al-Si coating transformed into an Fe-Al intermetallic compoundand the difference in Al content between the coating and substrate was reduced. The Al content in the weld ofthe specimen with the preheating treatment was reduced, compared with that without the preheating treatment.The amount of δ-ferrite in the weld after laser welding was reduced largely. The distribution of long-bland-likesegregation was changed to a fine and uniform distribution. With the preheating treatment, the tensile strengthof the welded joint was significantly improved and comparable to that of the decoated joint. In conclusion, thepreheating treatment before the welding is an effective method to suppress the formation of δ-ferrite and improvethe mechanical properties of the welded joint.
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    Effect of Cu Addition on the Microstructure and Mechanical Properties of U-MIG Welds on Galvanized Steel Sheets
    YU Xiaokang (俞小康), YE Jia (叶佳), WU Chunxiang (吴春祥), MA Guohong∗ (马国红)
    J Shanghai Jiaotong Univ Sci    2021, 26 (6): 757-764.   DOI: 10.1007/s12204-021-2328-y
    Abstract109)      PDF (1675KB)(36)      
    Ultrasonic-assisted metal inert gas (U-MIG) welding experiments were performed to analyze the effectof Cu addition on the microstructure and mechanical properties of galvanized steel sheet welds, and first-principlescalculations were undertaken to predict the effect of Cu on the mechanical properties of α-Fe based structures.As shown by scanning electron microscopy analysis, Cu is conducive to the refinement and uniformity of themicrostructure in the weld zone. Energy-dispersive spectrometry data indicated the presence of Cu in the weldsafter welding with Cu powder. The elastic moduli of the welds without and with Cu powder, obtained fromnanoindentation tests, were (217.66 ± 5.11) GPa and (223.13 ± 9.12) GPa, respectively, which were close to thecalculated results. The mechanical properties of the crystal structures of α-Fe and α-Fe1.9Cu0.1 were calculatedusing Materials Studio software. Both the experimental and calculated results showed that Cu doping reducedthe bulk modulus of the weld but increased its shear modulus.
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    Experimental Study on Medium and Low Cycle Fatigue Properties of Cast Steel GS20Mn5V
    JIN Hui∗ (靳慧), MO Jianhua (莫建华), SUN Sijia (孙思嘉), ZHAO Jing (赵静)
    J Shanghai Jiaotong Univ Sci    2021, 26 (6): 765-773.   DOI: 10.1007/s12204-020-2237-5
    Abstract101)      PDF (1348KB)(33)      
    Owing to the remarkable advantages in mechanical behavior, cast steel nodes have been widely usedin static structures. Nowadays, cast steel nodes also gain increasing popularity due to the superior fatigue performancein dynamic structures, but they are not yet widely used because the fatigue properties of cast steel arenot well understood. In this paper, the fatigue test of cast steel GS20Mn5V commonly used in steel castings iscarried out. The strength of medium and low cycle fatigue and the fatigue limit are obtained. The feasibilityof the estimated S-N (fatigue stress versus life) curve is tested. The double logarithmic linear model (DLLM)and the reversed generalized Pareto model (RGPM) are used to fit the experimental data, and the comparisonis made. The P-S-N (the relationship between fatigue stress and life at different survival rates) curve obtainedby the RGPM is proposed. The results show that the estimated S-N curve is not suitable for low cycle fatiguelife, fitting the experimental data with the RGPM is the best, and obtaining the P-S-N curve from the RGPM isfeasible.
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    Design of Light Fireproof Enclosure Bulkheads Based on Topography Optimization for Cruise Ships
    ZHANG Fan, YANG Deqing, QIU Weiqiang
    Journal of Shanghai Jiao Tong University    2021, 55 (10): 1175-1187.   DOI: 10.16183/j.cnki.jsjtu.2020.201
    Accepted: 08 June 2021

    Abstract419)   HTML222)    PDF (19957KB)(538)      

    In order to develop a new lightweight enclosure structure with an excellent fireproof and bearing performance, and to replace the traditional stiffened fire enclosure bulkheads in the superstructure area, a design method of light fireproof enclosure bulkheads for cruise ship based on the topography optimization technology was proposed. The location and numbers of corrugated beads in lightweight wall designed by this method were generated according to the requirements of load bearing capacity and manufacturing process, and this method overcomes the disadvantages that the location and numbers of beads in the design of conventional corrugated wall have to be determined in advance. Aimed at the specified design regions, the lightweight of cruise fireproof enclosure bulkheads (CFEB) structure was taken as the objective function while the stress in the weld zone, the stress in the nonweld zone, and the first-order buckling factor of CFEB were taken as constraints. Then, the topography design models of CFEB were established and solved. Feasible configurations were obtained by topography optimization, and the final configurations of CFEB were formed by secondary design. The mechanical properties of the final configurations were compared with the traditional stiffened fireproof bulkheads. It is concluded that the new CFEB has advantages of lightweight and good strength compared with the traditional stiffened fireproof bulkheads.

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    Energy Management of Parallel Ship Power System Based on Improved Fuzzy Logic Control
    WANG Ruichang, CHEN Zhihua, MING Xinguo
    Journal of Shanghai Jiao Tong University    2021, 55 (10): 1188-1196.   DOI: 10.16183/j.cnki.jsjtu.2020.043
    Abstract206)   HTML180)    PDF (1546KB)(158)      

    In order to alleviate the environmental pollution caused by ship transportation, an energy management strategy of parallel ship power system based on improved fuzzy logic control is proposed for the parallel hybrid power system with diesel engines as the main propulsion device. Based on the fuzzy logic control strategy, the error between required power and output power is used as a modification item and the sum of modification item, and demand power is taken as the input of the fuzzy logic control. By changing the fuzzy rules of excitation, the output power of the diesel engine and the output power of the battery pack are redistributed, so that the error between the total output power and the actual demand power is reduced. Energy management decisions can be made easily and quickly under different conditions by using this method which provides a new solution for energy management of high-power ship power systems.

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    Surge-Suppression Power Supply System for Ship High Power Pulse Loads
    PANG Yu, HUANG Wentao, WU Jun, TAI Nengling, SUN Guoliang
    Journal of Shanghai Jiao Tong University    2021, 55 (10): 1197-1209.   DOI: 10.16183/j.cnki.jsjtu.2020.358
    Accepted: 08 June 2021

    Abstract231)   HTML180)    PDF (2640KB)(194)      

    This paper analyzes the characteristics and influences of new pulse loads of ships. The surge-suppression power supply system for high power and multi-mode pulse loads, the capacitance and inductance calculation methods for the energy buffer unit are proposed, which can realize the power suppression, energy grouping, harmonic control and support backup, so that the safety of the ship power station and high precision power supply for loads can be ensured. The integrated power system simulation model of a new survey ship with high power radar loads is established in MATLAB/Simulink to verify the effectiveness of the surge-suppression power supply system at different modes. The system can not only reduce the impact of impulse load on the system, but also effectively suppress the system voltage harmonics, thus solving the key technical difficulties in the application of high power pulse loads to the independent power system.

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    Intelligent Connected Vehicle as the New Carrier Towards the Era of Connected World
    ZHUANG Hanyang (庄瀚洋), QIAN Yeqiang (钱烨强), YANG Ming(杨 明)
    J Shanghai Jiaotong Univ Sci    2021, 26 (5): 559-560.  
    Abstract188)      PDF (83KB)(129)      
    Human beings have been kept pursuing of higher efficiency and better safety to move people and things around since thousands of years ago. In modern soci-ety, vehicles are therefore invented and utilized to boost the speed and enhance the safety. In recent years, rapid development of information technology has brought hu-man into a new era of connected world. Internet and smartphones have made it extremely easy to get ac-cess to anyone from anywhere any time. In this back-ground, intelligent connected vehicles (ICVs) have been proposed and investigated. In the similar manner as the smartphones, ICVs are expected to be the next gener-ation carrier for people to get connected to the world. ICVs are equipped with novel sensors, controllers, and actuators to understand the environment, make decisions, and take actions, respectively. The word “intelligent” indicates that the vehicle should be able to handle unexpected events on the road. The word “connected” means that the information of each vehicle should be shared and considered globally. Full auton-omy and full connection are the ultimate goals of ICV industry. Unfortunately, we are still far away from this goal; therefore, continuous efforts shall be made to step further to this destination. As the ICV consists of multiple subsystems and is across different disciplines, the overall improvement re-quires the innovation in each aspect. Under this cir-cumstance, the Special Issue on Intelligent Connected Vehicle at Journal of Shanghai Jiao Tong University (Science) has been organized to broaden the perspec-tive, promote the interdisciplinary collaboration, and report the state-of-the-art works.
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    Camera-Radar Fusion Sensing System Based on Multi-Layer Perceptron
    YAO Tong (姚 彤), WANG Chunxiang(王春香), QIAN Yeqiang(钱烨强)
    J Shanghai Jiaotong Univ Sci    2021, 26 (5): 561-568.   DOI: 10.1007/s12204-021-2345-x
    Abstract148)      PDF (1189KB)(120)      
    Environmental perception is a key technology for autonomous driving. Owing to the limitations of a single sensor, multiple sensors are often used in practical applications. However, multi-sensor fusion faces some problems, such as the choice of sensors and fusion methods. To solve these issues, we proposed a machine learning-based fusion sensing system that uses a camera and radar, and that can be used in intelligent vehicles. First, the object detection algorithm is used to detect the image obtained by the camera; in sequence, the radar data is preprocessed, coordinate transformation is performed, and a multi-layer perceptron model for correlating the camera detection results with the radar data is proposed. The proposed fusion sensing system was verified by comparative experiments in a real-world environment. The experimental results show that the system can effectively integrate camera and radar data results, and obtain accurate and comprehensive object information in front of intelligent vehicles.
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    Wavelet Transform-Based High-Definition Map Construction From a Panoramic Camera
    ZHUANG Hanyang (庄瀚洋), ZHOU Xuejun (周学军), WANG Chunxiang (王春香), QIAN Yuhan (钱宇晗)
    J Shanghai Jiaotong Univ Sci    2021, 26 (5): 569-576.   DOI: 10.1007/s12204-021-2346-9
    Abstract109)      PDF (1242KB)(54)      
    High-definition (HD) maps are key components that provide rich topologic and semantic information for decision-making in vehicle autonomous driving systems. A complete ground orthophoto is usually used as the base image to construct the HD map. The ground orthophoto is obtained through inverse perspective transformation and image mosaicing. During the image mosaicing, multiple consecutive orthophotos are stitched together using pose information and image registration. In this study, wavelet transform is introduced to the image mosaicing process to alleviate the information loss caused by image overlapping. In the orthophoto wavelet transform, high-frequency and low-frequency components are fused using different strategies to form a complete base image with clearer local details. Experimental results show that the accuracy of the orthophotos generated using this method is improved.
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    Journal of Diagnostics Concepts & Practice    2021, 20 (04): 317-337.  
    Abstract3042)      PDF (18564KB)(3175)      
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    Contemporary Foreign Languages Studies    2021, 454 (4): 1-1.  
    Abstract207)   HTML284)    PDF (287KB)(119)      
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