Background This paper presents an intelligent path planner for lifting tasks by tower cranes in highly complex environments,such as old industrial plants that were built many decades ago and sites used as tentative st...Background This paper presents an intelligent path planner for lifting tasks by tower cranes in highly complex environments,such as old industrial plants that were built many decades ago and sites used as tentative storage spaces.Generally,these environments do not have workable digital models and 3 D representations are impractical.Methods The current investigation introduces the use of cutting edge laser scanning technology to convert real environments into virtualized versions of the construction sites or plants in the form of point clouds.The challenge is in dealing with the large point cloud datasets from the multiple scans needed to produce a complete virtualized model.The tower crane is also virtualized for the purpose of path planning.A parallelized genetic algorithm is employed to achieve intelligent path planning for the lifting task performed by tower cranes in complicated environments taking advantage of graphics processing unit technology,which has high computing performance yet low cost.Results Optimal lifting paths are generate d in several seconds.展开更多
The crux of this paper is based on the pattern drafting of woven fabrics. It is necessary because many textile designers or weavers cannot generate and develop their personal pattern drafts for weaving. It is obvious ...The crux of this paper is based on the pattern drafting of woven fabrics. It is necessary because many textile designers or weavers cannot generate and develop their personal pattern drafts for weaving. It is obvious that they mainly copy other people’s designs to weave. This paper therefore has provided an easy and simple way to learn, focus and develop their original designs to weave. The practical production method is used to create, generate and develop the pattern drafts in this paper. The paper focuses on the components of the pattern draft which will surely help to forecast and have a view of the appearance of the design before it is woven on the cloth. In conclusion, the weaver will be able to record and document his/her original works for posterity.展开更多
文摘Background This paper presents an intelligent path planner for lifting tasks by tower cranes in highly complex environments,such as old industrial plants that were built many decades ago and sites used as tentative storage spaces.Generally,these environments do not have workable digital models and 3 D representations are impractical.Methods The current investigation introduces the use of cutting edge laser scanning technology to convert real environments into virtualized versions of the construction sites or plants in the form of point clouds.The challenge is in dealing with the large point cloud datasets from the multiple scans needed to produce a complete virtualized model.The tower crane is also virtualized for the purpose of path planning.A parallelized genetic algorithm is employed to achieve intelligent path planning for the lifting task performed by tower cranes in complicated environments taking advantage of graphics processing unit technology,which has high computing performance yet low cost.Results Optimal lifting paths are generate d in several seconds.
文摘The crux of this paper is based on the pattern drafting of woven fabrics. It is necessary because many textile designers or weavers cannot generate and develop their personal pattern drafts for weaving. It is obvious that they mainly copy other people’s designs to weave. This paper therefore has provided an easy and simple way to learn, focus and develop their original designs to weave. The practical production method is used to create, generate and develop the pattern drafts in this paper. The paper focuses on the components of the pattern draft which will surely help to forecast and have a view of the appearance of the design before it is woven on the cloth. In conclusion, the weaver will be able to record and document his/her original works for posterity.