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Zhang, Ruijuan,Qiu, Weiqiang,Zhang, Maosai,Ho Row, Kyung,Cheng, Yudong,Jin, Yinzhe Elsevier 2018 FOOD SCIENCE AND TECHNOLOGY -ZURICH- Vol.87 No.-
<P>The effect of heating methods (microwave and water bath, and combined microwave and water bath heating) on 6 nucleotides and related compounds (NRCs) in minced Pacific white shrimp and Antarctic krill was investigated at 25, 40, 55, 65, 75, 85, and 95 degrees C. In Pacific white shrimp, the main changes of NRCs were in adenosine monophosphate (AMP) and inosine monophosphate (IMP). High temperature (85 and 95 degrees C) can inhibit the ATP degradation by water bath heating. In Antarctic krill, the main change of NRCs was in inosine (HxR) that decreased in microwave heating treatment at 95 degrees C. The different methods were compared in terms of IMP content and flavor/bitter ratio, which are related to flavor of aquatic products. The best heating method was pre-heating at 75 degrees C in water bath followed by microwave heating at 95 degrees C (IMP content and relatively flavor/bitter ratio were 4.34 mu mol/g and 3.00, respectively) for pacific white shrimp and pre-heating at 65 degrees C in microwave followed by water bath heating at 95 degrees C (IMP content and relatively flavor/bitter ratio were 0.18 mu mol/g and 0.06, respectively) for Antarctic krill, respectively. Chemical analysis, microbiological analysis and sensory evaluation showed that the K value is not suitable for assessing the freshness of Antarctic krill. (C) 2017 Elsevier Ltd. All rights reserved.</P>
The drag characteristics prediction of multi-plate frictional wet clutches in vehicle transmissions
Minghui Zhang,Yanfang Liu,Tianyan Liu,Xiangyang Xu,Jin Xu,Yudong Zhang 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.7
The multi-plate frictional wet clutch is one of the most important components in automatic transmissions. With the increasing of the rotational speed, the phenomena is tested that the drag torque firstly increases to the peak torque, and then decreases to a lower level and maintains within a certain range, and finally increases rapidly again. A fluid-structure coupled model of the whole wet clutch was established. The simulation results show that the pressure distribution is obviously nonuniform either on the frictional surface or between two sides of the clutch plate. The nonuniform pressure would cause the axial and deflection motion and so the impact would occur, which is the main reason for the drag torque’s increasing under high rotational speed. Based on the simulated results, a prediction model was built with the direct artificial neural network method. The test results show that the drag characteristics prediction model is effective and fast.
Application of galactinol to tomato enhances tolerance to cold and heat stresses
Liu Yudong,Zhang Li,Ma Jian,Meng Sida,Pang Chunpeng,Zhao Xiaomeng,Zhang Huidong,Wang Shou,Xu Tao,He Yi,Liu Yufeng,Qi Mingfang 한국원예학회 2022 Horticulture, Environment, and Biotechnology Vol.63 No.3
Galactinol, a galactosyl donor, is the key substrate in raffinose family oligosaccharide (RFO) biosynthesis pathways. Many studies proved that galactinol also regulates some defense-related genes to be transcribed as a sugar signal under biotic and abiotic stresses. There are four galactinol synthase (SlGolS) genes in tomato. In this study, SlGolS1, SlGolS2, and SlGolS4 responded to cold stress, especially SlGolS1 stems treated for 12 h and SlGolS4 stems treated for 24 h. Under heat stress, the expression levels of SlGolS1, SlGolS2, and SlGolS3, especially SlGolS1 and SlGolS2, increased in leaves, roots, and stems. When expressed in E. coli cells, SlGolS2 and SlGolS4 enhanced cold tolerance, whereas SlGolS1 and SlGolS3 improved heat tolerance. These results suggested that SlGolS family members played different roles in tolerance to cold and heat stresses. In addition, the application of galactinol or galactinol + α-galactosidase inhibitor (DGJ) improved the cold and heat tolerances of tomato plants, whereas the single application of DGJ had no effect. Interestingly, the applications of DGJ, galactinol, and galactinol + DGJ also affected the expression levels of SlRS, SlSTS, and SlAGAL under cold and heat stresses. These findings indicated that galactinol was involved in the biosynthesis pathways of RFOs as a galactosyl donor and regulated the expression levels of RFO biosynthesis and breakdown-related genes as a sugar signal under cold and heat stresses.
Yudong Zhao,Yueyuan Zhang,이장명 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.5
In this paper, a new two-layer control strategy which combines Kinematic Controller based on LyapunovTheory (KCLT) with Dynamic Controller based on Sliding Mode (DCSM) is proposed to solve the problem ofleader-follower formation control for multiple wheeled mobile robots (M-WMR). An augmented distance-angleleader-follower formation kinematic is constructed to describe the formation states, and a 2D LiDAR sensor is utilizedto measure the states instead of using camera and image processing on each follower. Instead of transferringthe measured formation states into reference position command for each follower, KCLT is designed to generatefollower’s velocity command. By taking the velocity command of followers as reference signals, DCSM is implementedto realize formation control. Lyapunov stability theory verifies that with the designed controller all the errorsignals can converge to 0 theoretically, which implies formation control of M-WMR under the proposed methodcan be realized. Real experiments with one leader and two followers are carried out to demonstrate the effectivenessof the proposed control schema. In order to verify the robustness of the proposed method, the reference rotationalvelocity of the leader robot is designed to change between +0:2 rad/s and 0:2 rad/s at some specified position. And the experimental results are compared with that of traditional proportional-integral-derivative (PID) method.
Control of 3-DOF Robotic Manipulator by Neural Network Based Fuzzy-PD
Shikai Zhang,Yudong Zhao,이장명 한국정밀공학회 2019 International Journal of Precision Engineering and Vol.20 No.12
A new control scheme of Back-Propagation Neural Network Based Fuzzy-PD has been proposed for control of a 3-DOF robotic manipulator in this paper. Combined with Back-Propagation Neural Network (BPNN), the performance of traditional Fuzzy-PD has been optimized by online calibration of the overlapping ratio of membership function. The overlapping ratio is firstly defined as the value of the intersection point between two adjacent membership functions. And then BPNN is utilized to optimize the overlapping ratio online. Simulations and real experiments with a 3-DOF robotic manipulator have been carried out to demonstrate the effectiveness and superiority of the proposed scheme.
PD Control of a Manipulator with Gravity and Inertia Compensation Using an RBF Neural Network
Yueyuan Zhang,김동언,Yudong Zhao,이장명 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.12
Dynamic compensation can improve the accuracy of trajectory tracking for industrial manipulators. For irregularly shape or flexible manipulators, however, it is difficult to measure the position of the center of mass (COM) so that its dynamic model cannot be expressed explicitly. This paper proposes a proportional derivative (PD) controller with radial basis function neural network based gravity and inertia compensation (RBFNN-GIC). The RBFNN is utilized to estimate the gravity disturbance and to enable identification of COM to calculate thecompensated inertia term. The proposed strategy based on the dynamic model can be used on any robot arm whose COM, gravity and inertia are difficult to obtain. To demonstrate the optimization and effectiveness of proposed PD controller, comparative experiments between the proposed control scheme and the traditional data-fitting method least mean square method (LMS) are conducted on a 3 degree of freedom (DOF) robotic manipulator.