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To alleviate the excessive computational burden involved in topology optimizations, an efficient methodology for topology optimization is proposed. In the proposed methodology, a multi-scale on/off method is designed to avoid using infinite number of decision parameters; and a stochastic approximation method is employed to minimize the computational costs when computing the sensitivity information...
This paper addresses the problem of phase noise mitigation in communications links utilizing DFT-S-OFDM waveforms. The paper discusses use of two different pilot configurations to do the compensation of the common phase error part of the phase noise. The pilot configurations are inserting pilots as logical symbols before the DFT spreading and inserting frequency domain pilots as subcarriers as in...
The aim of this paper is to draw a state-of-the-art related to the electric motors for grid connected integrated battery chargers in electric vehicle applications. The design process of this type of chargers consists to use the power electronics devices and the electric motor to charge the battery packs when the vehicle is plugged to grid. Actually, any standard has been established. So, this paper...
In this paper, we propose a phase noise cancellation algorithm in MIMO-OFDM systems where each transmit (TX) and receive (RX) antenna is equipped with independent oscillator. Most of previous works have considered phase noise model only in SISO-OFDM or simplified phase noise model in MIMO systems assuming that each TX and RX end shares one local oscillator. Recently, however, the local oscillator...
Current research in computer vision and machine learning has demonstrated some great abilities at detecting and recognizing objects in natural images. The promising results in these areas have inspired research towards solving more complex multi-modal learning problems in the image/video domains such as automatic annotation, segmentation, labelling, and generic understanding. Although solutions have...
2D-video-based gait recognition techniques have been studied for decades, but there are still many challenges, one of which is the robustness against the variation of view angle. In this paper, the second generation Kinect (Kinect V2) is used as a tool to establish a 3D-skeleton-based gait database, which includes both 3D information of the skeleton joints and the corresponding 2D silhouette images...
In this paper, we propose a novel framework for nighttime image dehazing based on a nighttime haze model which accounts for varying light sources and their glow. First, glow effects are decomposed using relative smoothness. Atmospheric light is then estimated by combining global and local atmospheric lights using a local atmospheric selection map. The transmission is estimated by maximizing an objective...
Structural information is critical in image quality assessment (IQA). Although existing objective IQA methods have achieved high consistency with subjective perception, detecting structural variation remains a difficult task. In this paper, we propose a novel structural variation detection strategy that is based on binary logic and inspired by the bag-of-words model. The proposed strategy detects...
Tracking fish in their natural environment is an important aspect of marine ecosystem research. However, real-world fish tracking is challenging due to unconstrained environments and complex scenarios. The purpose of this study is to develop a sparse sample collection and representation method (SSCR) based on the compressive sensing concept for fish tracking. The SSCR consists of sample collection...
Fine-grained object recognition is more challenging than generic categorization due to the subtle difference between subcategories under the large intra-class pose change and appearance variations. The state-of-the-art fine-grained recognition methods usually utilize part detection or pose alignment to alleviate the pose variation, and then use convolutional neural networks (CNNs) to extract local...
Function optimization based on traditional genetic algorithm is easy to fall into local extremum, so that adaptive genetic algorithm is proposed to solve this problem. However, traditional adaptive genetic algorithm has some disadvantages, such as low efficiency and instability. This study presents an improved adaptive genetic algorithm. Specifically, the crossover probability and the mutation probability...
In order to optimize the kinematic and dynamic performance of a 2-DoF planar parallel mechanism used in hybrid machines, a multi-objective optimization method is introduced. Based on the compare of the common kinematic analysis method and dynamic analysis method, the kinematic and dynamic performances evaluation indices which can be used in the performance optimization are introduced. Then a multi...
As the driving task is diversified from singularity, the driver's mental load is increased with the coordinated development between intelligent traffic and information technology. To carry our two different styles for test experiment, different kinds of music test and composite driving test mixed with principal-subordinate driving tasks, three typical tasks have been done in the driver's lab as examples...
The original method for designing higher efficiency three level bridge voltage inverter based on switching capacitors structures is considered. The higher efficiency is achieved by soft commutation of transistor switches and synchronous change of the inverter structure. The considered inverter is classified as the class DG power amplifier with voltage addition [1].
The electrical properties of polysilicon on insulator thin films (with a thickness 30–100 nm), which define a wide range of applications in electronic devices, were studied. Polysilicon thin film transistors are manufactured by a standard cheap technology that makes possible a mass production of semiconductor devices. The effective carrier mobility and state density in polysilicon thin film grown...
This paper proposes three basic configurations of power electronic transformer for distributive networks. Power electronic transformers have a number of essential advantages in comparison to power low-frequency transformers. The configurations proposed include different types of output inverters. Comparison of these topologies based on value of power quality coefficient is performed. According to...
In this paper we address the problem of deriving test suites for a system of interacting Finite State Machines (FSMs) with timed guards. We first show that unlike the general composition of timed automata, the composition of timed FSMs can be derived without uniting time variables of components and still can be described by an FSM that has a single time variable. We then discuss how tests with the...
Since RF MEMS switches appeared more than 20 years ago, micromechanics has been attracting huge attention for enabling near-ideal microwave devices. MEMS switches and MEMS-switch based circuits have been through different development stages and are currently proving themselves commercially, among others for mobile-phone antenna tuners. However, micromachining can do much more than “just” two-dimensional...
Wind generation systems with variable frequency generators commonly utilize several power electronics converters. Using numerically efficient models for converters and electrical machines can decrease simulation time of wind farms. In this paper, a voltage-behind-reactance model is developed for a six-phase permanent magnet synchronous generator. Then, a multiresolution simulation methodology is presented...
In this paper, a buck DC-DC converter is presented that is capable of operation under variable input battery voltage ranging from 3.5V to 6V. The proposed converter is based on a new design technique using an adaptive biasing circuit for cascode power stage. The biasing circuit changes its configuration when the battery voltage drops down to 4.5V. The converter is implemented in 45-nm CMOS technology;...
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