A wide spectrum of macroscopic and microscopic features preserved on the bedding planes or frozen between the laminations of fine-to medium-grained sandstones are described from a number of stratigraphically and geogr...A wide spectrum of macroscopic and microscopic features preserved on the bedding planes or frozen between the laminations of fine-to medium-grained sandstones are described from a number of stratigraphically and geographically separated localities within the Chhattisgarh(Bhalukona and Kansapathar Formations)and Khariar basins(Lower sandstone Formation),India and attributed to microbial mat related sedimentary structures.These include bedding plane features viz.wrinkle structures,palimpsest and patchy ripples,spindle-shaped and sub-circular microbial shrinkage cracks indicating original cohesiveness in sand-sized sediments,fragments of torn mat spread on bed surface suggesting mat erosion under high energy flow etc.and bed-perpendicular features e.g.wavy-crinkly laminae,iron oxide specks and stringers etc.The structures suggest different mat-induced biophysical interactions viz.growth,biostabilisation,binding,baffling and trapping or a combination of all.Mat growth also favoured preservation of setulf structure that usually has low preservation potential.The stratigraphic intervals from where the structures are described are assigned Mesoproterozoic time frame(~1.4 Ga)and modelled as products of near-shore environment i.e.wave-influenced shoreface-beach under widely different sea level stands viz.forced regression,low-stand and transgression.It is proposed that prolific mat growth may act as facilitator for preservation of thin forced regressive deposits in Proterozoic low-gradient epeiric basins.展开更多
Human pose estimation is a basic and critical task in the field of computer vision that involves determining the position(or spatial coordinates)of the joints of the human body in a given image or video.It is widely u...Human pose estimation is a basic and critical task in the field of computer vision that involves determining the position(or spatial coordinates)of the joints of the human body in a given image or video.It is widely used in motion analysis,medical evaluation,and behavior monitoring.In this paper,the authors propose a method for multi-view human pose estimation.Two image sensors were placed orthogonally with respect to each other to capture the pose of the subject as they moved,and this yielded accurate and comprehensive results of three-dimensional(3D)motion reconstruction that helped capture their multi-directional poses.Following this,we propose a method based on 3D pose estimation to assess the similarity of the features of motion of patients with motor dysfunction by comparing differences between their range of motion and that of normal subjects.We converted these differences into Fugl–Meyer assessment(FMA)scores in order to quantify them.Finally,we implemented the proposed method in the Unity framework,and built a Virtual Reality platform that provides users with human–computer interaction to make the task more enjoyable for them and ensure their active participation in the assessment process.The goal is to provide a suitable means of assessing movement disorders without requiring the immediate supervision of a physician.展开更多
This paper presents a feature-based method for machining process planning in integrated product designing and manufacturing system for CE(Concurrent Engineering) application. The feature setup generation and machining...This paper presents a feature-based method for machining process planning in integrated product designing and manufacturing system for CE(Concurrent Engineering) application. The feature setup generation and machining sequence can be determined automatically in this system. The set of knowledge-based rules for process planning and manufacturability evaluation is provided and can be shared by all stages of full product life-cycle. An approach for MTAD (Multiple Tool Axis Direction) feature setup generation is presented and the appropriate Tool Axis Direction(TAD) is chosen to minimize the total setup numbers of a part. The classification and process planning of interacting feature are discussed and the knowledge-based rules are used to solve the feature interaction problem.展开更多
文摘A wide spectrum of macroscopic and microscopic features preserved on the bedding planes or frozen between the laminations of fine-to medium-grained sandstones are described from a number of stratigraphically and geographically separated localities within the Chhattisgarh(Bhalukona and Kansapathar Formations)and Khariar basins(Lower sandstone Formation),India and attributed to microbial mat related sedimentary structures.These include bedding plane features viz.wrinkle structures,palimpsest and patchy ripples,spindle-shaped and sub-circular microbial shrinkage cracks indicating original cohesiveness in sand-sized sediments,fragments of torn mat spread on bed surface suggesting mat erosion under high energy flow etc.and bed-perpendicular features e.g.wavy-crinkly laminae,iron oxide specks and stringers etc.The structures suggest different mat-induced biophysical interactions viz.growth,biostabilisation,binding,baffling and trapping or a combination of all.Mat growth also favoured preservation of setulf structure that usually has low preservation potential.The stratigraphic intervals from where the structures are described are assigned Mesoproterozoic time frame(~1.4 Ga)and modelled as products of near-shore environment i.e.wave-influenced shoreface-beach under widely different sea level stands viz.forced regression,low-stand and transgression.It is proposed that prolific mat growth may act as facilitator for preservation of thin forced regressive deposits in Proterozoic low-gradient epeiric basins.
基金This work was supported by grants fromthe Natural Science Foundation of Hebei Province,under Grant No.F2021202021the S&T Program of Hebei,under Grant No.22375001Dthe National Key R&D Program of China,under Grant No.2019YFB1312500.
文摘Human pose estimation is a basic and critical task in the field of computer vision that involves determining the position(or spatial coordinates)of the joints of the human body in a given image or video.It is widely used in motion analysis,medical evaluation,and behavior monitoring.In this paper,the authors propose a method for multi-view human pose estimation.Two image sensors were placed orthogonally with respect to each other to capture the pose of the subject as they moved,and this yielded accurate and comprehensive results of three-dimensional(3D)motion reconstruction that helped capture their multi-directional poses.Following this,we propose a method based on 3D pose estimation to assess the similarity of the features of motion of patients with motor dysfunction by comparing differences between their range of motion and that of normal subjects.We converted these differences into Fugl–Meyer assessment(FMA)scores in order to quantify them.Finally,we implemented the proposed method in the Unity framework,and built a Virtual Reality platform that provides users with human–computer interaction to make the task more enjoyable for them and ensure their active participation in the assessment process.The goal is to provide a suitable means of assessing movement disorders without requiring the immediate supervision of a physician.
文摘This paper presents a feature-based method for machining process planning in integrated product designing and manufacturing system for CE(Concurrent Engineering) application. The feature setup generation and machining sequence can be determined automatically in this system. The set of knowledge-based rules for process planning and manufacturability evaluation is provided and can be shared by all stages of full product life-cycle. An approach for MTAD (Multiple Tool Axis Direction) feature setup generation is presented and the appropriate Tool Axis Direction(TAD) is chosen to minimize the total setup numbers of a part. The classification and process planning of interacting feature are discussed and the knowledge-based rules are used to solve the feature interaction problem.
