The essay introduces a high speed detection system for multiple-spindle chemical fabrics viscose filament. It utilizes the special cutter to clamp the bunch of viscose filaments, and uses the specialized shredder to p...
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ISBN:
(纸本)9781457715846
The essay introduces a high speed detection system for multiple-spindle chemical fabrics viscose filament. It utilizes the special cutter to clamp the bunch of viscose filaments, and uses the specialized shredder to produce the viscose filament slice. We design and produce the hemispherical controlled luminous LED light sources according to the slice characteristics, the light emitted by the light source passes through the filament slice, forming an image on CCD through the optical amplification. CCD transfers the captured image to the computer, segment the image of viscose filaments through digital image processing and give the result of detection after adhesion area separation and the region count. This system can detect 600 monofilaments at one time with 98% accuracy. The experiment proved that this system has advantages of high accuracy, fast detection and easy operation.
Essential discrepancies in business operation datasets may cause failures in operational decisions. For example, an antecedent X may accidentally lead to different action results, which obviously violates the atomicit...
详细信息
ISBN:
(纸本)9781457715846
Essential discrepancies in business operation datasets may cause failures in operational decisions. For example, an antecedent X may accidentally lead to different action results, which obviously violates the atomicity of business action rules and will possibly cause operational failures. These inconsistencies within business rules are called self-conflicts. In order to handle the problem, this paper proposes a fast rules conflict detection algorithm called Multiple Slot Parallel Detection (MSPD). The algorithm manages to turn the seeking of complex conflict rules into the discovery of non-conflict rules which can be accomplished in linear time complexity. The contributions include: (1) formally proposing the Self-Conflict problem of business action rules, (2) proving the Theorem of Rules Non-conflict, (3) proposing the MSPD algorithm which is based on Huffman-Tree, (4) conducting extensive experiments on various datasets from Civil Airport business rules sets, which shows that the proposed algorithm saves 33.6% more space than the traditional Policy tree algorithm and improved the detection speed by 36.2%.
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