the architecture of human motion information acquisition system based on surface electromyography (EMG) was described. Motion information is one of the most important techniques in the intelligent assistant productio...
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ISBN:
(纸本)9781424452668
the architecture of human motion information acquisition system based on surface electromyography (EMG) was described. Motion information is one of the most important techniques in the intelligent assistant production design, and it is a basis for the assistant system to supply appropriate and necessary actions. thinking of the characteristics of daily tasks, this system adopted surface EMG as signal source. then, the motion recognition method based on multiclass support vector machine and the muscle force (joint torque) calculation algorithm based on muscle physiological model and geometric model are proposed. the experiments results proved the effectiveness of this system.
Various applications, such as mesh composition and model repair, ask for a natural stitching for polygonal surfaces. Unlike the existing algorithms, we make full use of the information from the two feature lines to ...
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Various applications, such as mesh composition and model repair, ask for a natural stitching for polygonal surfaces. Unlike the existing algorithms, we make full use of the information from the two feature lines to be stitched up, and present an accurate stitching method for polygonal surfaces, which minimizes the error between the feature lines. Given two directional polylines as the feature lines on polygonal surfaces, we modify the general placement method for points matching and arrive at a closed-form solution for optimal rotation and translation between the polylines. Following calculating out the stitching line, a local surface optimization method is designed and employed for postprocess in order to gain a natural blending of the stitching region.
In this paper, we present an example-driven symbol recognition algorithm based on its key features in CAD engineering drawings. When user provides an example of a specific symbol, the input symbol is analyzed and its ...
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In this paper, we present an example-driven symbol recognition algorithm based on its key features in CAD engineering drawings. When user provides an example of a specific symbol, the input symbol is analyzed and its features are extracted automatically. Based on the relation representation, the constrained tree with key feature priority can be established for this type of symbol. By this means, the symbol library can be built and expanded automatically in order to handle variety engineering drawings. In the next stage of the recognition processes, we first locate the key feature nodes in drawings, and then find other elements around which satisfy the topology structure of constrained tree. If all the elements and constrains in the tree are found, the symbol object will be recognized. Because of the accurate position, unnecessary matching calculations are greatly reduced. Experimental results validate that our approach is effective.
this paper presents an ambient backscatter communication (AmBC)-based offloading framework for multi-user non-orthogonal multiple access (NOMA) mobile edge computing (MEC) network. Specifically, in this system multipl...
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the proceedings contain 59 papers. the topics discussed include: a unified approach for aligning taxonomies and debugging taxonomies and their alignments;opening the black box of ontology matching;towards evaluating i...
ISBN:
(纸本)9783642382871
the proceedings contain 59 papers. the topics discussed include: a unified approach for aligning taxonomies and debugging taxonomies and their alignments;opening the black box of ontology matching;towards evaluating interactive ontology matching tools;a session-based approach for aligning large ontologies;organizing ontology design patterns as ontology pattern languages;an ontology design pattern for cartographic map scaling;locking for concurrent transactions on ontologies;predicting the understandability of OWL inferences;detecting SPARQL query templates for data prefetching;synonym analysis for predicate expansion;instance-based ontological knowledge acquisition;logical linked data compression;access control for HTTP operations on linked data;bio2RDF release 2: improved coverage, interoperability and provenance of life science linked data;observing linked data dynamics;and a systematic investigation of explicit and implicit schema information on the linked open data cloud.
In this paper, we introduce a novel 2D-3D hybrid video stabilization method which combines virtues of 2D and 3D video stabilization methods in one routine. It attempts to achieve high-quality camera motions and to ret...
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In this paper, we introduce a novel 2D-3D hybrid video stabilization method which combines virtues of 2D and 3D video stabilization methods in one routine. It attempts to achieve high-quality camera motions and to retain full frame coherence in each frame, at while, ensure that local regions undergo a similarity transformation. We solve the stabilization problem by integrating 3D and 2D video stabilization methods into one routine. It smooths camera motions and explicitly employs local motion information which constraints video frames to be temporal coherent, and achieves high-quality video stabilization. Experiments show that our method not only can achieve high-quality camera motion on good 3D reconstructed scene, but also can deal with complicated videos containing near, large moving objects.
this paper presents the results of experimentation with a design visualisation for dynamically reconfigurable systems. Several techniques have been developed, which provide visualisation of temporal and spatial charac...
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According to some shortcomings of simple genetic algorithms on prematurity and slower convergence, the paper carried through optimizing designment on simple genetic *** first, it proposed an adaptive selection ope...
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According to some shortcomings of simple genetic algorithms on prematurity and slower convergence, the paper carried through optimizing designment on simple genetic *** first, it proposed an adaptive selection operation: ultra expectation —comparation selection, adaptive crossover and mutation operation with double coordination;then the paper proved its capability and rate of convergence by ***, the new genetic algorithms can avoiding the phenomenon of maturating too early, keeping the multiplicity of the colony, quickening the rate of convergence. In the end, we prospected its application on the newly proposed adaptive genetic operation in the automotive appearance design.
the processor, A/D converter, sensor integrated circuit (PASIC) prototype chip which contains 256 × 256 photosensors, a linear array of 256 A/D converters, two 256 8-b shift registers, a 256-bit-serial arithmetic...
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the processor, A/D converter, sensor integrated circuit (PASIC) prototype chip which contains 256 × 256 photosensors, a linear array of 256 A/D converters, two 256 8-b shift registers, a 256-bit-serial arithmetic logic unit, and a 256 × 128-b-dynamic RAM is presented. It is claimed to be a viable architecture for low-level vision processing. the processors operate in single-instruction multiple-data (SIMD) mode at 20 MHz. When executing an edge-detection algorithm, it is shown that the 256 processors are capable of an output rate of 3 Mpixel/s.
Structural optimization and automation have gained a significant mileage in recent past due to advent of advancements in computeraideddesign (CAD) and Engineering tools. the conventional approach of design cycle oft...
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