27 Result(s)
within
**ao-**a Qian
English
Algorithm Analysis and Problem Complexity
-
Chapter and Conference Paper
BMTP: Combining Backward Matching with Tree-Based Pruning for Large-Scale Content-Based Pub/Sub Systems
Content-based publish/subscribe systems are widely deployed in many fields to realize selective data distribution. Event matching is a potential performance bottleneck in large-scale systems that maintain tens...
-
Chapter and Conference Paper
Prediction of Chemical Oxygen Demand in Sewage Based on Support Vector Machine and Neural Network
Aiming at the problem that the detection accuracy of effluent COD (chemical oxygen demand) in sewage treatment needs to be further improved, a combined model based on support vector machine and neural network ...
-
Chapter and Conference Paper
A Grou** Genetic Algorithm Based on the GES Local Search for Pickup and Delivery Problem with Time Windows and LIFO Loading
This paper investigates the pickup and delivery problem with time windows and last-in-first-out (LIFO) loading (PDPTWL). In this problem, the compartment of a vehicle is modeled as a linear LIFO stack. The las...
-
Chapter and Conference Paper
Emotion Annotation Using Hierarchical Aligned Cluster Analysis
The correctness of annotation is quite important in supervised learning, especially in electroencephalography(EEG)-based emotion recognition. The conventional EEG annotations for emotion recognition are based ...
-
Chapter and Conference Paper
An Enhanced Estimation of Distribution Algorithm for No-Wait Job Shop Scheduling Problem with Makespan Criterion
In this paper, an enhanced estimation of distribution algorithm (EEDA) is proposed for the no-wait job shop scheduling problem (NWJSSP) with the makespan criterion, which has been proved to be strongly NP-hard...
-
Chapter and Conference Paper
Bayesian Statistical Inference-Based Estimation of Distribution Algorithm for the Re-entrant Job-Shop Scheduling Problem with Sequence-Dependent Setup Times
In this paper, a bayesian statistical inference-based estimation of distribution algorithm (BEDA) is proposed for the re-entrant job-shop scheduling problem with sequence-dependent setup times (RJSSPST) to min...
-
Chapter and Conference Paper
Enterprise Networks Integration in a Sensing Environment: A Case Study
Internet of things, mobile Internet, cloud computing and big data technologies build a sensing environment for all kinds of businesses. Inter enterprise collaboration is meeting new challenges of omni-channel ...
-
Chapter and Conference Paper
Modeling and Simulating the Walking Behavior of Small Pedestrian Groups
In the virtual environment, the current methods can simulate some virtual human behaviors realistically. However, these methods take the crowd as a collection of separate individuals, which is difficult to gen...
-
Chapter and Conference Paper
Satellite-Retrieved Surface Chlorophyll Concentration Variation Based on Statistical Methods in the Bohai Sea
Data of chlorophyll concentration in the Bohai Sea is obtained by the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) from 1998 to 2009. Empirical Orthogonal Function (EOF) is used to analyze the spatial-tempo...
-
Chapter and Conference Paper
Spatial-temporal Variation of Chlorophyll-a Concentration in the Bohai Sea
Spatial-temporal variation of Chlorophyll-a concentration retrieved by Moderate Resolution Imaging Spectroradiometer (MODIS-Auqa, aboard Auqa satellite) was analyzed since the starting MODIS-Auqa mission in Ju...
-
Chapter and Conference Paper
An Optimization Model of Site Batch Plant Layout for Infrastructure Project
Construction site layout is crucial to any project and has a significant impact on the economy, quality, schedule, and other aspects of the project. Especially for infrastructure construction project, the layo...
-
Chapter and Conference Paper
High Impedance Fault Location in Transmission Line Using Nonlinear Frequency Analysis
The detection and location of high impedance faults on power system has been one of the most difficult problems in power transmission and distribution systems. According to a very highly nonlinear behavior of ...
-
Chapter and Conference Paper
Hardware Implementation of RBF Neural Network on FPGA Coprocessor
The compute core of a FPGA is a complicated programmable logic integrated circuit array which different from the ordinal instruction execution of the traditional computer. It changes the compute pattern of tra...
-
Chapter and Conference Paper
An Expert System Based on BP Neural Networks for Pre-splitting Blasting Design
The issue of pre-splitting blasting design is investigated in this paper. According to the principle of expert system and neural networks, Visual C++ 6.0 and SQL Sever 2000 are employed to develop hybrid exper...
-
Chapter and Conference Paper
An Adaptive Network Topology for Classification
Constructive learning algorithms have been proved to be powerful methods for training feedforward neural networks. In this paper, we present an adaptive network topology with constructive learning algorithm. I...
-
Chapter and Conference Paper
A Novel Multiple Neural Networks Modeling Method Based on FCM
A single neural network model developed from a limited amount of sample data usually lacks robustness and generalization. Neural network model robustness and prediction accuracy can be improved by combining mu...
-
Chapter and Conference Paper
Double Inverted Pendulum Control Based on Support Vector Machines and Fuzzy Inference
In this paper, a fuzzy inference system based on support vector machi- nes is proposed for nonlinear system control. Support vector machines provides a mechanism to extract support vectors for generating fuzzy...
-
Chapter and Conference Paper
Application of Support Vector Machines to Vapor Detection and Classification for Environmental Monitoring of Spacecraft
Electronic noses (E-nose) have gained popularity in various applications such as food inspection, cosmetics quality control [1], toxic vapor detection to counter terrorism, detection of Improvised Explosive De...
-
Chapter and Conference Paper
Evolving Neural Networks Using the Hybrid of Ant Colony Optimization and BP Algorithms
Ant colony optimization (ACO) algorithm has the powerful ability of searching the global optimal solution, and backpropagation (BP) algorithm has the feature of rapid convergence on the local optima. The prope...
-
Chapter and Conference Paper
Recurrent Neural Network Inference of Internal Delays in Nonstationary Data Network
By applying tomography theory which is highly developed in fieldssuchas medical computerized tomography and seismic tomography to communication network, network tomography has become one of the focused new tec...
