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To respond to emergencies in a fast and an effective manner, it is of critical importance to have efficient evacuation plans that lead to minimum road congestions. Although emergency evacuation systems have been studied in the past, the existing approaches, mostly based on multi-objective optimizations, are not scalable enough when involve numerous time varying parameters, such as traffic volume,...
A text network refers to a data type that each vertex is associated with a text document and the relationship between documents is represented by edges. The proliferation of text networks such as hyperlinked webpages and academic citation networks has led to an increasing demand for quickly developing a general sense of a new text network, namely text network exploration. In this paper, we address...
This paper describes the concept of workflow merge and methods for merging business processes. We append effect annotations to activities of business process, use RPSTs divided the process graph to fragments then accumulate these effects according to these SESE fragments, detect exact clone and approximate clone between the two process models, finally design a merging algorithm to consolidate two...
Two optimal algorithms, MTA∗ and MT-RBA∗, are presented to find the optimal yard crane (YC) job sequence for serving a fleet of vehicles for delivery and pickup jobs with scheduled deadlines and predicted vehicle arrival times. The objective is to minimize the total tardiness of incoming vehicle jobs. This is important for minimizing vessel turnaround time. In the search for an optimal job sequence,...
A nonlinear statistical ensemble prediction modeling method has been developed for predicting monthly mean rainfall using Particle Swarm Optimization (PSO) algorithm and neural network (NN) technique. Comparison results of prediction experiments show that the PSO-NN ensemble prediction (PNNEP) model is superior to the traditional linear statistical forecast method in prediction capability. Computation...
Basing on the sample of typhoon from 2001 to 2010 for 10 years in the Northwest Pacific (NP), setting up the genetic-neural network prediction (GNNP) model which input predictors is using the methods of multidimensional scaling analysis (MDS) and Stepwise regression basing the predictors of climatology persistance to predict the typhoon intensity for 12, 24, 36, 48, 60 and 72 hour. The experimental...
In terms of the Particle Swarm Optimization-Neural Network (PSO-NN), a new prediction model has been developed using the stepwise regression method combined with the feature extraction technique of Isometric Mapping (ISOMAP) algorithm to treat the Climatology and Persistence (CLIPER) predictors. The model is validated with forecasts of ten years of typhoon intensity formed and numbered in the Western...
No design, no business. Higher test score doesn't represent better global competitiveness. Creativity is central to the competitive capabilities of 21st century citizens and thus creativity education should play crucial role for every grade curricular. However, the development of creative potential requires work and incubation over time. It takes more efforts than standard curricula can afford. What...
Nowadays, topic detection and tracking (TDT) has been widely used. As one research tasks for TDT, new event detection can provide prior knowledge to TDT, so it has great theoretical research significance in the field of TDT. Because LDA model cannot automatically identify new events, and the number of LDA topic had been determined by the artificial, or by repeated experiments, it has low efficiency...
Using classical transmission line steady-state model and based on the three-pulse harmonic voltages of the rectifier side and the inverter side, this paper describes an approach to calculate the DC side harmonic currents in HVDC systems, including the harmonic currents flowing directly in the DC line and the grounding electrode line, as well as the harmonic currents induced in their lightning shield...
A new calculation method for the input of the neural network ensemble prediction (NNEP) model has been developed based on the data mining technology using the feature extraction method of Empirical Orthogonal Function(EOF) and the stepwise regression method, for investigating the effect of different model input with the same dimension on the prediction capacity of the NNEP model. Taking typhoon intensity...
Fuzzy Cognitive Maps (FCM) is an important graphic mean of representing causal relationship between concepts and analyzing inference patterns. In existing FCM, the value of the node which reflects the degree of activation of the concept fails to represent the multi-state nature of the concept. In order to eliminate the drawbacks from the existing FCM model, we for first time propose A Quantum Cognitive...
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