Let n, κ, e,m be positive integers such that n ≤ 3, 1 ≤ κ ≤ n - 1, gcd(n, κ) = e, and m = n/e is odd. In this paper, for an odd prime p, we derive a lower bound for the minimal distance of a large class of p-ary...
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In this work, an extreme learning machine (ELM) has been used in predicting permeability from well logs data have been investigated and a prediction model has been developed. The prediction model has been constructed ...
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In this paper, the viability and capability of using Type-2 Fuzzy Logic Systems as a novel approach for predicting permeability from Well Logs has been investigated and implemented. Type-2 fuzzy logic is powerful in h...
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Master key forward security is an important property for identity-based key exchange protocols. Unfortunately, most of existing identity-based key exchange protocols do not satisfy this property. In this paper, we fir...
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Analyzing several commonly used DeviceNet networks, this thesis proposes the master application system based on embedded system. The system's embedded platform is made up of ARM9 and ***, it implements the driver ...
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ISBN:
(纸本)9781424476169
Analyzing several commonly used DeviceNet networks, this thesis proposes the master application system based on embedded system. The system's embedded platform is made up of ARM9 and ***, it implements the driver program of the DeviceNet communication interface, the application program of network management and scanner. The system built for modern breeding environment monitor successfully; thereby an easy, high reliable and low-cost fieldbus solution is achieved.
An associative memory (AM) system is proposed to realize incremental learning and temporal sequence learning. The proposed system is constructed with three layer networks: The input layer inputs key vectors, response ...
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As computer systems become increasingly internetworked, Distributed Real-time Embedded (DRE) systems has became increasingly common and important, a challenging problem faced by researchers and developers of DRE softw...
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This paper proposed customer classification prediction model based on rough set, we can do the customer classification based on a few properties, the analysis reduces the complexity of decision-makers. This model coul...
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This paper proposed customer classification prediction model based on rough set, we can do the customer classification based on a few properties, the analysis reduces the complexity of decision-makers. This model could help companies predict in advance the new customer or potential customer value level. Empirical analysis results indicate complexity of data calculation is decreased effectively and veracity of customer prediction is improved.
This paper based on rough set, the original data, attribute reduction, value reduction, the rule extraction, the final diagnosis model building apple’s disease, disease diagnosis for apple to provide practical diagno...
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This paper based on rough set, the original data, attribute reduction, value reduction, the rule extraction, the final diagnosis model building apple’s disease, disease diagnosis for apple to provide practical diagnostic tool.
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