Novel Design of a Modular Multi-stage Crusher with …
In this paper, a modularized multi-stage crusher with adaptive clearance is proposed by using TRIZ theory. According to the analysis of the conflict resolution principle in …
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[2210.06044] Multi-Granularity Cross-modal Alignment for …
In this paper, we present a novel Multi-Granularity Cross-modal Alignment (MGCA) framework for generalized medical visual representation learning by harnessing the naturally exhibited semantic correspondences between medical image and radiology reports at three different levels, i.e., pathological region-level, instance-level, and disease-level.
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Uncertainty instructed multi-granularity decision for large …
Hierarchical classification identifies a sample from the root node to a leaf node along the hierarchical structures of labels. It is often difficult to perform leaf-node prediction owing to ambiguous or incomplete information In such scenarios, a multi-granularity decision needs to be designed to stop the sample at a coarse-grained node rather than going rashly to a wrong …
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Multi-scale analysis of shear behaviour of crushable granular …
In this paper, a multi-scale computational approach is employed to investigate the shear behaviour of crushable granular sand under general stress conditions with varying …
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Crusher Dynamics, Design and Performance
Chamber design affects breakage modes. Use "Crusher Performance Maps" for manual optimization of crushers. Capacity normally decrease when eccentric speed increase.
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Research on multi-granularity sequential three-way …
Fuzzy rough set [10], [11], [12] is a mathematical tool that combines the benefits of other models and is used to effectively deal with fuzzy data in a variety of applications including conflict analysis [13], crude oil futures [14], financial forecasting [15], medical [16], [17] and stock investment evaluation [18]bining the multi-granularity with fuzzy rough sets, on the other …
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Design of Multi Granularity Quantum Switching Node …
Design of Multi Granularity Quantum Switching Node Structure for Embedded Intelligent System . Liu Xingjian. a,*, Chen Xiao . School of Computing, Guangdong Business and Technology University, Zhaoqing, Guangdong, 526060, China. a. …
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Simulation and optimization of gyratory crusher …
To study and optimize the gyratory crusher performance, taking the process of crushing iron ore by the gyratory crusher as the specific analysis object in this paper. First, the …
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A multi-granularity clustering based evolutionary algorithm …
In the proposed algorithm, a multi-granularity variable clustering method has been suggested to divide all decision variables into multiple layers with different probabilities of being zero. With the decrease of the layer size, the proposed algorithm prefers to explore the decision space during early generations and prefers to exploit the ...
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Modular design for optimum granularity with auto …
A modular design methodology is developed for obtaining the optimal granularity of a modularized architecture in this paper. A relationship extraction solution is executed to …
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Multi-Granularity Batch Sequential Design Method for …
Building upon a foundation of rapidly constructed simulation models, we proposed a multi-granularity batch sequential design method to address the difficulties in solving this design …
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Generative Human Video Compression with Multi-granularity …
We design a multi-granularity feature factorization strategy to explore the internal correlations between compact motion vectors and fine-grained motion fields. In particular, this strategy can well guarantee the representation compactness for economical bandwidth and motion expressibility for high-quality signal reconstruction.
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Fine-grained recognition: Multi-granularity labels and …
The realization way is to train these features with a joint probability-based loss that we design to reduce inter-task interference through inter-granularity probability relations. Lastly, for tasks without coarse labels, a category similarity matrix is suggested for measuring inter-class similarity and a further non-parametric aggregation ...
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Multi-Granularity Batch Sequential Design Method for …
From a systemic perspective, satellite systems can be classified into three levels: the entire satellite, subsystems, and components. Compared to the design and optimization of satellite parameters at the entire satellite and subsystem levels, optimization at the component level can provide more specific decision support for engineering practices. Building upon a foundation of …
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DEM simulation and optimization of crushing chamber …
A multi-objective model of crushing chamber, productivity, and crushing granularity was developed. The results indicated that the crushing chamber had a significant impact on …
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Multi-object optimization design for differential and grading …
Genetic algorithm is used to optimize the crusher crank-rocker mechanism for multi-object design and an optimum result is obtained. According to the implementation, it is shown …
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Modular design for optimum granularity with auto-generated …
Modular design for optimum granularity with auto-generated DSM and improved elbow assessment method. ... Based on a existing literature example and a jaw crusher modular design case, comparative studies are carried out to verify the effectiveness and practicality of the proposed method. ... a multi-granularity module partition approach for ...
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Mathematical Modeling and Multi-Criteria Optimization of …
Mathematical modeling and optimization of the design parameters of the working chamber and the executive body (roll) of a single-roll gyratory shaft crusher, designed for …
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HP Series Multi Cylinder Hydraulic Cone Crusher
Multi cylinder hydraulic cone crusher is developed on the basis of spring cone crusher, its basic structure is similar to the spring cone crusher. The difference between them is that the original 10-16 groups of springs are replaced by 10-16 safety cylinders. Multi-cylinder hydraulic cone crusher is composed of cylinder, piston, bracket and bolt.
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Knowledge graph based multi-granularity tacit design …
Decomposing product design into multiple granularities is an effective strategy to implement complex product design. Tacit design knowledge (TDK), adhering to designers' …
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Granular3D: Delving into multi-granularity 3D scene graph …
Focus on the multi-granularity analysis, HDSM hierarchically processes the sub-scene, encoding the point cloud at multiple scales to extract feature maps at both the instance and relationship stages. Next, features with different granularity are separated and aggregated according to the instance mask, with attribute encoding supplementing basic ...
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Multi-granularity Score-based Generative Framework …
pose OrgMol-Design, a multi-granularity framework for ef-ficiently designing complex organics. Our OrgMol-Design is composed of a score-based generative model via fragment prior for diverse coarse-grained scaffold generation and a chemical-rule-aware scoring model for fine-grained molec-ular structure design, circumventing the difficulty of intri-
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Simulation and optimization of gyratory crusher …
The changes in discharge granularity (parallel bond number) with MSA, CA, ... multi-objective optimization of the crusher performance is performed, and the optimized values of the MSA, CA, EA, and MSS are 13°, 14°, 0.29°, and 129.63 rpm, respectively. ... Optimization Design of Large Gyratory Crusher Chamber Shape and DEM Simulation for its ...
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