Redesign of enterprise lean production system based on environmental dynamism

Self Cite

Gesture recognition has always been a research hotspot in the field of human-computer interaction. Its purpose is to realize the natural interaction with the machine by recognizing the semantics expressed by gesture. In the process of gesture recognition, the occlusion of gesture is an inevitable problem. In the process of gesture recognition, some or even all of the gesture features will be lost due to the occlusion of the gesture, resulting in the wrong recognition or even unrecognizability of the gesture. Therefore, it is of great significance to study gesture recognition under occlusion. The single shot multibox detector (SSD) algorithm is analyzed, and the front-end network is compared. Mobilenets is selected as the front-end network, and the Mobilenets-SSD network is improved. In tensorflow environment, based on the improved network model, the self-occlusion gesture and object occluding gesture are trained in color map, depth map, and color and depth fusion respectively. The recognition models of self-occlusion gestures and object-occlusion gestures in color map, depth map, and color and depth fusion are obtained. And compare and analyze the learning rate, loss function, and average accuracy of various models obtained for occlusion gesture recognition.

Section: Methodsmentioning

confidence: 99%

“…And gesture4 has the lowest recognition rate in color and depth background. [61][62][63] Through the analysis of the experimental process, the main reason is that gesture4 has more serious self-occlusion and less feature information than the other three gestures.…”

Section: ) Loss Functionmentioning

confidence: 99%

Occlusion gesture recognition based on improvedSSD

Liao

et al. 2020

Self Cite

“…The trajectory planning of the manipulator in joint space transforms the robot's joint variables into a function of time. It then adds constraints on the angular velocity and angular acceleration, which is mostly used to solve the posture problem of manipulator when picking and placing objects 70–74 …”

Section: Manipulator Trajectory Planning Based On Work Subspacementioning

confidence: 99%

Manipulator trajectory planning based on work subspace division

Liu

Xiao

Tong

et al. 2021

Self Cite

The manipulator workspace is an essential element in the field of manipulator research and is of great significance for manipulator motion planning. However, little research has been conducted on dividing the manipulator workspace into working subspaces. No precise division method has been proposed; the inverse kinematics of multiple solutions in manipulator trajectory planning may also cause abrupt joint changes, thus affecting the planned trajectory. The article proposes a working subspace division method for all ball‐wrist 6DOF(degree‐of‐freedom) manipulators that satisfy the Piper criterion to address the above problems. The kinematic model of the manipulator is established, and the Jacobi matrix of the manipulator is obtained. The space of joints of the manipulator is divided into unique domains containing only single inverse kinematic solutions by means of singular trajectory lines when the determinant of the Jacobi matrix is zero; The solution from the joint space to the workspace is achieved by a nonlinear mapping, which completes the partitioning of the work subspace, and each work subspace contains only unique inverse kinematic solutions. When trajectory planning is carried out from the independent area of a single workspace to the overlapping area of multiple workspaces, selecting the inverse kinematic solution in a single working subspace can effectively avoid abrupt changes in the joints of the manipulator and trajectory misalignment caused by numerous inverse solution selection problems and make the planned trajectory smooth and consistent with the operational requirements of each scene.

“…Therefore, this article uses this as a basis to reasonably distribute the amount of aggregate, micronized powder, and bleaching beads, so that the bulk density of the castable is 5.1 ‐ 6.8 g/cm 3 . 32 …”

Section: New Lightweight Ladlementioning

confidence: 99%

Numerical simulation of thermal insulation and longevity performance in new lightweight ladle

Sun

Tian

et al. 2020

For meeting the comprehensive requirements of "super insulation," "lightweight," and "longevity" of the contemporary ladle, this article designs a new kind of lightweight ladle with heat preservation and longevity performance, and based on steady-state analysis method and numerical simulation technology, the comparison of temperature distribution between new lightweight and traditional ladle under typical operating modes is made and analyzed. The simulation results of temperature field prove that the performance of heat preservation in new kind of lightweight ladle has been improved obviously from the two aspects of ladle shell temperature and molten steel file rate. At the same time, the simulation results of stress field indicate that the stress of designed lightweight ladle reduced and distributed more evenly, which is conducive to prolonging the work time in-service of the ladle. Finally, based on the field test, the simulation is proved to be effective, and the designed ladle structure achieves the expected purpose.