A method for simultaneous analysis of the two components of compound paracetamol and diphenhydramine hydrochloride powdered drugs on near-infrared (NIR) spectroscopy is developed by using a radial basis function (RBF)...
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A method for simultaneous analysis of the two components of compound paracetamol and diphenhydramine hydrochloride powdered drugs on near-infrared (NIR) spectroscopy is developed by using a radial basis function (RBF) network. Nearest neighbor-clustering algorithm is used as the learning algorithm of RBF network. Comparisons of the results obtained from the RBF models with those from BP models show that it is feasible to use the RBF network in nondestructive quantitative analysis of the components of drugs.
The optimal partition algorithm (OPA) is applied to the training of parameters in the radial basis function (RBF) neural network. The appropriate modification for the OPA is performed according to the characteristics ...
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The optimal partition algorithm (OPA) is applied to the training of parameters in the radial basis function (RBF) neural network. The appropriate modification for the OPA is performed according to the characteristics of the RBF neural network. The approach for determining the centers and widths of the clustering is added in the modified OPA and applied to choose the centers and widths of the neural network. A method for adjusting the structure of the neural network dynamically is presented by using the difference of the objective functions of the clustering. Thus it is realized to select the number of the hidden nodes adaptively. Simulation results of the stock price prediction demonstrate the effectiveness of the proposed approach. Comparisons with traditional algorithms show that the proposed OPA method possesses obvious advantages in the precision of forecasting, generalization, and forecasting trends. Simulations also show that the algorithm combining the OPA with the orthogonal least squares (OLS) possesses more superior performance in the rightness of forecasting trends.
This paper presents a Case Based Reasoning (CBR) approach to identifying micro-architecture anti-patterns and replacing them with "good" patterns in order to improve the design of software system. The result...
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This paper focuses on spatial query optimization in distributed GIS. A new qualitative spatial relation model and its consistency problem solution which compose topology, direction, distance and size are proposed. Res...
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Three kinds of constrained traveling salesman problems (TSP) arising from application problems, namely the open route TSP, the end-fixed TSP, and the path-constrained TSP, are proposed. The corresponding approaches ba...
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Three kinds of constrained traveling salesman problems (TSP) arising from application problems, namely the open route TSP, the end-fixed TSP, and the path-constrained TSP, are proposed. The corresponding approaches based on modified genetic algorithms (GA) for solving these constrained TSPs are presented. Numerical experiments demonstrate that the algorithm for the open route TSP shows its advantages when the open route is required, the algorithm for the end-fixed TSP can deal with route optimization with constraint of fixed ends effectively, and the algorithm for the path-constraint could benefit the traffic problems where some cities cannot be visited from each other.
This paper is a survey for smart home research, from definition to current research status. First we give a definition to smart home, and then describe the smart home elements, typical research projects, smart home ne...
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ISBN:
(纸本)0780384032
This paper is a survey for smart home research, from definition to current research status. First we give a definition to smart home, and then describe the smart home elements, typical research projects, smart home networks research status, smart home appliances and challenges at last.
Both item-associations and user-associations mined from the rating table can be used to make personalized recommendation for the current user in rule-based recommend technique. Mining user-associations is the key for ...
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ISBN:
(纸本)0780384032
Both item-associations and user-associations mined from the rating table can be used to make personalized recommendation for the current user in rule-based recommend technique. Mining user-associations is the key for the recommendation based on user-associations. We find that the current user not only can be used to constrain the rule form in user-associations mining process, but also can be used to partition the rating table into two parts in order to accelerate user-associations mining. It is first proved that user-associations about the current user mined from the whole rating table are contained in those mined only from the data set that contain the current user's rating. Then, a user-association mining frame based on two-stage count called TSCF is proposed. TSCF frame can be implemented by using existing algorithms for mining association rules. And an algorithm TSCF-CL for mining user-associations is implemented by using the concept lattice. Last the performance comparison with ASARM algorithm shows that TSCF-CL can reach better time capacity.
Workflow management systems (WFMSs) are used to coordinate and streamline business processes. Very large process instances are often running for a long period and the feedback iteration occurs frequently, thus the sys...
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ISBN:
(纸本)0780384032
Workflow management systems (WFMSs) are used to coordinate and streamline business processes. Very large process instances are often running for a long period and the feedback iteration occurs frequently, thus the system is inefficient. To overcome such problems, we studied the issues that process modeling parallelly based on product lifecycle management and proposed a parallel model (LBPYYM: lifecycle-based parallel workflow model). First, the parallel process can be created with the model within a product lifecycle. Meanwhile, the complexity of process definition is reduced also by the parallel model. Second, the adhoc access control policies can be created in each phase of lifecycle to satisfy the access control requirement of the least privilege. Finally, two algorithms, which consist of 2-level role parse algorithm and 3-level role parse algorithm, are introduced. Through these two algorithms the workflow activities' participant can be defined very easily and flexibly.
Handling resource constraints in resource-constrained scheduling is always a NP-hard problem. In the beginning of this paper, the overview of the approaches to managing resource constraints and the deficiency of them ...
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ISBN:
(纸本)0780384032
Handling resource constraints in resource-constrained scheduling is always a NP-hard problem. In the beginning of this paper, the overview of the approaches to managing resource constraints and the deficiency of them are shown. Then a hybrid mechanism based on CBA rules and resource energy forward checking is proposed. By applying this mechanism, the generality and the efficiency of our system are heightened.
An operation template is proposed in this paper for describing the mapping between operations and a subset of natural numbers. With such operation template, a job shop scheduling problem (JSSP) can be transformed into...
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