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A new approach based on recursive polynomials for behavioral modeling of RF power amplifiers is presented. The orthogonal least squares algorithm is introduced for the identification of the structure of the recursive polynomial. It provides an efficient means for removing the unnecessary terms from the general recursive polynomial and guarantees the model so obtained as simple as possible. This modeling...
Semantic issues are highly concerned with high-level interpretation in image understanding, which include text-image gap and its own affinity. Concentrating on text-formatting with entities in images, three sophisticated methodologies are roundly reviewed as generative, discriminative and descriptive grammar on the basis of contextual features. The following objective benchmark for visual words is...
Traffic signal control is a challenging task for traffic systems. As fuzzy logic is proved to be well suited to control some complex systems with uncertainties and human perception, it has been widely used to control the traffic signal in recent years. This paper proposes a novel fuzzy logic controller for signalizing modern roundabouts. Different from existing fuzzy traffic-signal controllers, the...
In this paper, we propose a novel complexity-adjustable video coding algorithm for H.264/AVC-based wireless video communications through portable devices. To optimize the rate-distortion performance under power constraint in packet loss environment, we present a novel model that can adapt to the different channel conditions and computation power constraints. The experimental results demonstrate that...
In this paper, a new region-based active contour model is proposed for image segmentation. Different from the general region-based active contour models, this model partitions the regions of interests in images depending on the local statistics of the intensity and the magnitude of gradient in the neighborhood of the contour. Inspired by the structure tensor method, an improved regularization term...
The intermodal transportation as an effective logistics solution can provide timely and high quality service for customers. Especially with the rapid development of logistics industry, the intermodal transportation is becoming a very common practice in the industry today. The operation cost can be reduced to a great extent if different transportation modes are well connected and synchronized. Most...
Recently wind energy has developed at a fast pace, and it is necessary to develop equivalent models to represent dynamic behaviors of wind farms on power system. The equivalent wind method has been investigated for the aggregation of DFIG wind turbines. The detailed procedure for the calculation of equivalent wind has been analyzed. The necessity of classifying incoming winds has been shown. In order...
Collaborative filtering (CF) methods are popular for recommender systems. In this paper we focus on exploring how to use implicit and hybrid information to produce efficient recommendations. We suggest a new similarity measure and rating strategy for neighborhood models, and extend original matrix factorization (MF) models to explore implicit information more efficiently. By the mean time, We extend...
A new method for human action recognition in online video sequences using Latent Dirichlet Markov Clustering (LDMC) is proposed. Video sequences are represented by a novel “bag-of-words” representation, and each frame corresponds to a “word”. LDMC builds on Hidden Markov Models (HMMs) and Latent Dirichlet Allocation, and it overcome their low recognition rate, robustness and high computational complexity...
Accurate moving objects segmentation is an essential problem in intelligent video surveillance system. However, the existence of unexpected moving cast shadows frequently lead to errors in further scene analysis. This paper presents a novel method that combines color space and corner feature to detect and remove cast shadows of moving vehicles in traffic scenes. The two features cooperate well to...
There are two widely used interference models to characterize interference in wireless communication, protocol model and physical model. The protocol model simplifies the interference by considering only two concerned communication links (or nodes). It ignores the cumulative interference from other links (or nodes). On the other side, the physical model considers the cumulative interference of the...
This paper provides an overview of recent advances of neural network techniques for fast and parametric modeling of vias on the multilayered circuit packages. First, we review a space-mapping neural network technique for broadband and completely parametric modeling of vias. This technique exploits the merits of space-mapping technology and incorporates an equivalent circuit into the model structure...
As the development of Web service, reliable service quality evaluation has become the key in the service optimization. This paper addresses this problem by proposing a reliable service quality evaluation model in the Web services community. The model initially imports Web service community aiming at evaluation unreliable when involved criterions are beyond service domain. The assistant domain Ontology...
By the modern time series analysis method and white noise estimators, based on the autoregressive moving average (ARMA) innovation model and augmented state space model, under the linear minimum variance optimal fusion rule weighted by scalars, a multisensor optimal distributed fusion Wiener filter is proposed for single channel ARMA signals with white and colored measurement noises. The formulas...
This paper addressed the scheduling problem in a press job shop environment. A heuristic-based scheduling model is proposed by analyzing the characteristics of bi-directional press line. The objective is to improve the machine utilization rates and to balance the load of production lines, with the consideration of machine constraints, operation constraints and batch constraints. A novel heuristic...
In this paper, we discuss a general integrated query problem for the heterogeneous data. We first assume that there exist a global and loosely coupled distribution data model, and then based on this assumption a general integrated query processor is designed, which can integrate query processing for the heterogeneous data sources in large-scale distributed environment.
As a part of Cloud computing, Software as a Service (SaaS) enables users to cut their costs by outsourcing software as a service on-demand, in which both computation and storage are handled on server-side. However, data must be decrypted into memory when performing the computation, even though they can be encrypted during storage and transmission. In this case, the privileged administrators of SaaS...
The medical image visualization can help the doctor easy to diagnose, and the better quality can help doctor much more. The reflectance model is the key factor to make the quality better. Be enslaved to the computing power of CPU and GPU, some complicated reflectance models have not been used in medical visualization, the simple reflectance model-Phong model been used prevalently. With the growing...
Based on the background of the distribution system theory and an application paradigm of the national population information system (NPIS), a new data model for the huge mobile objects system (HMOS) is proposed in a large-scaled distributed environment. The new model mainly includes three aspects: 1) the definitions of the object and management domain; 2) mobility, state distribution and multi-state...
This paper presents an overview of emerging neural network (NN) modeling techniques for electromagnetic (EM) structures. Techniques including NN modeling for frequency and time domain simulations, NN inverse modeling, and NN modeling for EM-based simulations are discussed. NN models for EM structures are developed by training the NNs with EM data generated from either frequency or time domain EM simulators...
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