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In this paper, the impact of products exchange policy on the bullwhip effect of remanufacturing closed-loop supply chain was studied, and the system dynamics model of remanufacturing closed-loop supply chain system with uncertain products exchange percentage, collection percentage and remanufacturing percentage was built. The mathematic relationship between stock-flow diagram and variables was explained,...
Link prediction in directed network is attracting growing interest among many network researchers. We propose a fast approach based on similarity to predict the links of the related nodes. In this method, we extended the Katz index to the directed network, and use the path sampling method to compute the approximated Katz index. By setting the appropriate size of the sampling, the error of similarity...
Accurate rodent brain extraction is one of the basic steps for many translational study using Magnetic Resonance Imaging (MRI). In this paper, we present a new approach to model the rodent brain variation using non-rigid B-spline image registration for the brain extraction in MRI images. We model the shape and appearance with the B-spline parameters together with a mean brain image. Followed by a...
In this paper, the problem of observer design in linear multi-output systems with asynchronous sampling is addressed. The proposed multi-rate observer is based on a continuous-time Luenberger observer design coupled with an inter-sample predictor for each sampled measurement, which generates an estimate of the output in between consecutive measurements. The sampling times are not necessarily uniformly...
Due to flexibility, low cost and rapid deployment, wireless sensor networks (WSNs)have been drawing more and more interest from governments, researchers, application developers, and manufacturers in recent years. Nowadays, we are in the age of industry 4.0, in which the traditional industrial control systems will be connected with each other and provide intelligent manufacturing. Therefore, WSNs can...
This paper proposes a classification algorithm based on ensemble neural networks. In the training phase, the proposed algorithm uses a random number of training data to develop multiple random artificial neural network (ANN) models until those ANN models converge. Those models with lower accuracy than the threshold are filtered out. The remaining highly accurate models will be used to predict the...
The paper describes the design of a rail defect detection system, which is suitable for 43 kg/m to 75 kg/m rails' in service inspection requirements. The defect acquisition module of the system is composed of some conventional probes and phased array probes. In defect signal processing module, FPGA was used to deal with the multi-channel defect data by using its parallel processing function. The system...
This paper presents an algorithm for detecting communities in bipartite network based on the suffix tree structure. The algorithm, first extracts the adjacent node sequence for reach node in the network. Based on the node sequences of all the nodes, the algorithm constructs a suffix tree, where each node represents a complete bipartite sub-graph in the network G. Then the algorithm adjusts those cliques...
Movement pattern recognition is the basis for flexible control of lower-limb rehabilitation aids. To improve the effect of lower-limb movement pattern recognition, an electromyographic recognition method to identify movement patterns without movement information was proposed. Firstly, the initial moment of feature extraction was detected by the integral of absolute value of surface electromyography...
The mechanism of pneumatic damping prosthetic knee was analyzed to improve the performance of prosthetic knee. Based on the mechanism description of the key parts of the prosthetic knee, a dynamic model of the whole prosthetic was established. The model was based on pneumatic damping prostheses knee with four-bar linkage. And the value of the control variable, the opening of the needle valve, could...
In order to successfully navigate mobile robots in an unknown environment, an appropriate navigation strategy must be employed. Such a strategy certainly relies on an effective navigation map based on which robot trajectories can be well planned. The navigation map can be built based on a sparse map constructed by a visual simultaneous localization and mapping (VSLAM) algorithm. This paper presents...
In this paper, a vision-based helper robotic system is proposed that can help the elderly in household environments. Specifically, a mobile robot equipped with an onboard camera is capable of following the elderly. The system can visually identify the elderly by using Camshift algorithm and thus determines appropriate commands to drive the mobile robot to follow the elderly. A practical function of...
Most of the recent research on autonomous mobile robotics is focused on obstacle detection and path planning in unknown environments. Improved accuracy in environment recognition and high precision in robot control can ensure feasibility of intelligent and autonomous mobile robotic systems in unexplored environments. To reach this goal, effective navigation and control approaches for the mobile robots...
Ten cent Weibo is one of the largest micro-blogging websites in China. There are more than 200 million registered users on Ten cent Weibo, generating over 40 million messages each day. Recommending appealing items to users is a mechanism to reduce the risk of information overload. The task of this paper is to predict whether or not a user will follow an item that has been recommended to the user by...
Ten cent Weibo is one of the largest micro-blogging websites in China. There are more than 200 million registered users on Ten cent Weibo, generating over 40 million messages each day. Recommending appealing items to users is a mechanism to reduce the risk of information overload. The task of this paper is to predict whether or not a user will follow an item that has been recommended to the user by...
In recent years, most of the research about autonomous mobile robotics is focused on obstacle detection and path planning in unknown environments. Improved accuracy in environment recognition and high precision in robot control can ensure feasibility of intelligent and autonomous mobile robotic systems in unexplored environments. To reach this goal, effective navigation and control approaches for...
To investigate the influence of acid on thermal aging of oil-paper insulation, formic acid and stearic acid are added in the oil to achieve 0.3mgKOH/g. The time taken by the acid to reach balance in the oil-paper insulation is measured, under different temperature of 20°C, 70°C and 100°C, as well as different initial moisture contents of 0.2% and 3.0%. After the distribution of acid in paper reaches...
To research the influence of one of the aging product (organic acid) of cellulose on oil-paper insulation, low molecular weight of the carboxylic acid (formic, acetic) and high molecular weight of the carboxylic acid (stearic) have been added to new electric insulating oil to arrive at a neutralization value of 0.3mgKOH/g, the initial moisture content in insulation paper have been controlled at 0...
With the advantages of high lighting temperature, easier degradation and renewable, the natural ester-paper insulation has been employed in distribution transformer, gradually. During the operation, the natural ester-paper insulation will deteriorate under the effect of hot, electrical field and moisture. So it is very important to assess the insulation status of ester-paper insulation in transformers...
As environmental awareness increases, buyers today are learning to purchase goods and services from suppliers that can provide them with low cost, high quality, and at the same time, with environmental responsibility. The main purpose of this paper focuses on a fuzzy mathematical nonlinear programming approach to model a low carbon supply chain ordering decision problem with fuzzy demand, allowable...
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