The paper investigates the dynamic deformation of a viscoelastic anisotropic reinforced plate caused by rapidly increasing shear load, taking into account geometric nonlinearity. This complex problem is formulated as ...
详细信息
The heterostructures of zinc chalcogenides β-ZnTe/ZnSe/ZnS were obtained by isovalent substitution. The regimes for obtaining materials that ensured the stability of the cubic lattice of heterolayers of zinc chalcoge...
详细信息
This paper presents the inventory management system based on IoT and microservices architecture that synced between IoT (Internet of Things) and web application. There are two main parts consisting of IoT forklift veh...
详细信息
This paper presents the inventory management system based on IoT and microservices architecture that synced between IoT (Internet of Things) and web application. There are two main parts consisting of IoT forklift vehicle and data transmitted system by MQTT protocol. Microservice can utilize data to process business logic and provides API. Inventory area includes a zone, a subzone and parking area for forklifts to scan QR code on each subzone. Data of forklifts is published to back-end service. The results of system microservice publish information events and processes business data to the admin client with a delay under a second.
Additive robotic construction of building-scale discrete bar structures, such as trusses and space frames, is increasingly attractive due to the potential improvements in efficiency, safety, and design possibilities. ...
Additive robotic construction of building-scale discrete bar structures, such as trusses and space frames, is increasingly attractive due to the potential improvements in efficiency, safety, and design possibilities. However, programming complex robots, such as manipulators with seven degrees of freedom, to successfully complete construction tasks can be tedious, challenging, or impossible for a human to do manually. Namely, the structure must be constructed in a sequence that preserves structural properties, such as stiffness, at each step. At the same time, this sequence must allow for the robot to precisely manipulate elements within the in-progress structure while respecting geometric constraints that, for example, ensure the robot does not collide with what it has built. In this work, we present an automated and newly generalized planning approach for jointly finding a construction sequence and robot motion plan for additive construction that satisfies these requirements. Our approach can be applied in a variety of additive construction processes, and we demonstrate it specifically on spatial extrusion and discrete bar assembly in this paper. We demonstrate the effectiveness of our approach on several simulated and real-world extrusion and assembly tasks, including a human-scale physical prototype, for which our algorithm is deployed for the first time to plan the assembly of a complicated double tangent bar system design.
The Internet of Things also referred to as IoT plays an important role in our everyday lives by allowing us to control electrical gadgets through networks. Controlling is accomplished by meticulously watching key para...
详细信息
The world is witnessing a transition from in-store shopping to online shopping. E-commerce (Electronic commerce) giants such as Amazon, Alibaba, eBay etc. are leading the way towards this change. Much technological ad...
详细信息
3D point cloud (3DPC) has significantly evolved and benefited from the advance of deep learning. However, the latter faces various issues, including the lack of data or annotated data, the existence of a significant g...
详细信息
This study investigates daily rolling stock shunt operation planning in an urban rail transit depot. Given the layout of a depot and the rolling stocks (that arrive at and depart from this depot within an operation da...
详细信息
This study investigates daily rolling stock shunt operation planning in an urban rail transit depot. Given the layout of a depot and the rolling stocks (that arrive at and depart from this depot within an operation day) with given maintenance schedule, the studied problem lies in determining: 1) the position where each rolling stock stops to be parked, outside washed, and/or maintained, and 2) the conflict-free shunting plan of rolling stocks to move within depot. We transform the studied depot into different multiple-layer directed graphs (to represent the infrastructures in a microscope perspective) based on depot’s layout and maintenance schedule of rolling stocks, to illustrate the specific shunting processes of each rolling stock. By means of these resulting graphs, we formulate the studied problem as a mixed integer linear programming model by incorporating several additional requirements (that are not or rarely considered in previous related works) and a specific situation of Chinese urban rail transit system, to increase the attractiveness of our solutions for rail dispatchers. We also introduce a logic-based Benders decomposition algorithm to efficiently solve real-life problem instances, where three groups of customized acceleration mechanisms (including strengthening the bounds of variables, reducing total numbers of variables and constraints involved, and designing additional feasibility cuts) are explored to improve solution performance of our algorithm. Finally, a set of realistic and realworld instances with different scales, derived from the largest depot of Chongqing Rail Transit Line 3 in China, are investigated to demonstrate the efficiency and effectiveness of our model and algorithm. Computational results reveal that our algorithm solves a real-life instance in approximately 8 seconds which is considerably shorter than the time of dispatchers to solve the studied problem manually, thus our approach can provide strong automatical computer-aided d
Existing local weighted ensemble clustering algorithms strive to weight on each cluster, which take into account the differences among all clusters. However, the base clustering label on each cluster is ignored. The p...
详细信息
TensorHive is a tool for organizing work of research and engineering teams that use servers with GPUs for machine learning workloads. In a comprehensive web interface, it supports reservation of GPUs for exclusive usa...
详细信息
TensorHive is a tool for organizing work of research and engineering teams that use servers with GPUs for machine learning workloads. In a comprehensive web interface, it supports reservation of GPUs for exclusive usage, hardware monitoring, as well as configuring, executing and queuing distributed computational jobs. Focusing on easy installation and simple configuration, the tool automatically detects the available computing resources and monitors their utilization. Reservations granted on the basis of flexible access control settings are protected by pluggable violation hooks. The job execution module includes auto-configuration templates for distributed neural network training jobs in frameworks such as TensorFlow and PyTorch.
暂无评论