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The manufacturing enterprises are currently under great pressures to shorten innovation cycles, grow importance of high-efficiency manufacturing and accommodate new products by building more factories. Discrete manufacturing sectors face a huge array of problems because of its specificity. Knowledge representation is one of the most highlighted troubles. In this case, ontology is a significant knowledge...
Synchronous switching noise generated between the power supply and the ground plane of a high-speed digital circuit is considered to be one of the most important factors affecting the signal integrity of a circuit system. In order to suppress the synchronous switching noise (SSN), a new coplanar electromagnetic band-gap structure is proposed in this paper. Based on the zigzag line and square patch...
In orthogonal frequency-division multiplexing (OFDM) systems, the broadband channel features sparse structure in delay domain. By fully exploiting the sparse structure of channels, transform domain (TD) channel estimation (CE) methods such as discrete Fourier transform (DFT) method and compressed sensing (CS)-based methods can greatly upgrade the performance of channel estimation. When the paths of...
Furnace safety supervisory system (FSSS)plays an important role in protecting the boiler of thermal power plant from danger. In order to evaluate the performance of FSSS itself, functional safety theoriesare applied in this paperto achievehazard and risk analysis, target safety integrity level (SIL)determinationand functional safety evaluation. The most important safety instrumented function (SIF)...
A compact hyper-spectral imaging system using a microstructured transparent diffractive optic is experimentally demonstrated with enhanced spatial resolution. A fast algorithm based on regularization is exploited to reconstruct hyper-spectral data in a single shot.
We report on high power nanosecond-pulsed polarization maintaining (PM) master oscillator power amplifier (MOPA) system seeded by a semiconductor laser diode at 2 pm incorporating arbitrary pulse-shaping technique. By pre-compensating the effects of gain saturation of the power amplifier, we obtain the right-angled trapezium, rectangular, ‘M’-shaped and ‘h’-shaped pulses in 240 W average power level...
Considering the industrial field, the problems of limited energy and changed topology of the network restrict the development of the centralized resource allocation. Although the traditional distributed resource allocation algorithm solves the network topology change partly, there is still no breakthrough in terms of energy consumption. In this paper, we simulate the Distributed Randomized TDMA scheduling...
A strain of Lactobacillus S21.1 was screened to produce conjugated linoleic acid from traditional northeastern fermented sauerkraut juice. Fermentation was performed by adding linoleic acid (0.4 mg/mL) into the culture medium, and the culture medium was fermented for 24 h at 37°C. Then, UV spectrophotometry was used to measure the linoleic acid content, which was measured as 10.082 µg/mL. Strain morphological...
A new image-based visual servoing method based on point features is presented to partially decouple the position and orientation controls. The control laws are designed for rotation and translation, respectively. Rotation takes priority over translation, but the movement of features caused by rotation is compensated in the translation control law. A monitor is designed to manage the adjustments for...
This paper presents a new grasp planning method to solve grasp synthesis and grasp selection problems. A depth-projection algorithm is proposed to solve synthesis problem. Using only depth information of working scene, the algorithm establishes the relationship, which is expressed as depth-projections, between point cloud and grasp poses. And a learning network is constructed and trained to accomplish...
Recovering object pose is of great importance to many higher level tasks such as robotic manipulation, scene understanding and augmented reality to name a few. Following the recent major breakthroughs in many computer vision tasks made by the deep learning, intensive research to experiment with it also in the task of recovering object pose is conducting. This paper aims to review the state-of-the-art...
Reliability of mobile cloud computing system (MCS) components substitution is an important issue for troubleshooting and system upgrading. In this paper, MCS components substitution is equated to MCS service substitution based on a service-oriented architecture of MCS. Then, a reliable workflow for MCS service substitution is proposed, which consists of two parts. One is a qualitative judgment method...
Sine-triangle Pulse Width Modulation (SPWM) and Space Vector Pulse Width Modulation (SVPWM) techniques are widely used in the control of inverters. With the introduction of multi-level inverters, the use of carrier based SVPWM has gained popularity as this method is capable of dealing with the complexity brought about by the large number of voltage vectors. This paper presents the concept of carrier...
Hybrid energy storage system (HESS) facilitates the integration of various energy storages (ESs) with different ramp rate. Virtual capacitive control (VCC) is used to ensure the idle condition of supercapacitors (SCs) when HESS is in steady state and dynamic power sharing in transion. Improved virtual capacitive droop (IVCD) is proposed in this paper by introducing DC bus voltage regulation for batteries...
To improve research efficiency of engineering problems, Surrogate model has gained its popularity in replacing real engineering model. This paper proposes a kind of Global Sequential Sampling Algorithm (GSSA) based on surrogate model. With the process of iteration, GSSA can sample both in unexplored region and large-error region, then iteratively update the samples. OLHS is used as initial sampling...
Social networking platforms such as Twitter have become a global phenomenon. Net citizens use such services as part of their daily lives. Given this, the opportunities to mine such data resources is of considerable interest to researchers, businesses and government alike. Many researchers have explored the analysis of such resources to support sentiment analysis and event detection amongst many other...
In this paper, we propose a distributed method to find the solution of the linear equations Ax = b with minimum energy, i.e. the minimum weighted norm associated with the weighted inner product. We first prove that for a special case when the norm is two-norm, the algorithm can make multiple agents reach the minimum two-norm solution of the global linear equations Ax = b if the agents are initialized...
Data center networks demand high-performance, robust, and practical data plane load balancing protocols. Despite progress, existing work falls short of satisfying these requirements. We design and evaluate Luopan, a novel sampling based load balancing protocol that overcomes these challenges. Luopan operates at flowcell granularity similar to Presto. It periodically samples a few paths to each destination...
We consider the broadcast channel with confidential messages (BCCM) over N parallel Gaussian channels. The transmitter aims at maximizing the sum-rate. The system has two combating jammers, each aiming to enhance the secure rate to one receiver only, while hurting the other receiver by sending Gaussian jamming signals. We cast the problem as an extensive-form game and derive the optimal jamming policy...
The omission of nonlinear effects in large-scale 3D ground motion estimation, which are particularly challenging due to memory and scalability issues, can result in costly misguidance for structural design in earthquake-prone regions. We have implemented nonlinearity using a Drucker-Prager yield condition in AWP-ODC and further optimized the CUDA kernels to more efficiently utilize the GPU's memory...
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