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This paper presents a human reliability analysis method based on cognitive process model. Human cognitive processes are modelled in different forms under different risk scenarios respectively. The cognitive process model consists of an event tree based on human cognitive process and Bayesian networks modelling the cognitive phases. The Bayesian networks (combining with evidence theory) use hierarchical...
The mutual recognition of community opinion in multiple attribute group decision making (MAGDM) is an efficient way to solve complex system, which has widely application in practice. In this paper, the MAGDM under uncertain linguistic variables is studied. In order to achieve a desirable consensus in group decision making, a new algorithm is proposed to develop a satisfactory consensus reaching process,...
Because of the benefits for both passengers and freight, the demand to travel by rail is ever increasing. Of course, it takes it for granted that it is of utmost important for railway administrators to carry passengers and freight safely to their destinations. Undergoing safety procedures and developing safety systems require awareness of what is causing unsafe conditions. Generally speaking, railway...
recent study has observed that the high-speed railway industry has failed to prevent the recurrences of accident in the workplaces. Therefore, the Learn from Incidents (LFI) theory is applied to detect the factors that have negative influences on LFI in our study from the perspectives of breadth and depth of learning. Based on the identified negative factors, the HFACS-RAs framework is proposed to...
Multi-sensor fusion based pose estimation for UAVs (unmanned aerial vehicles) on ships was proposed in this paper. For take-off and landing of UAVs on ships, the novel artificial landmark was presented which could obtain accurate unique result and eliminate the pose ambiguity effectively. IMU data was effectively employed for pose estimation. EPnP algorithm was performed to get the initial estimation...
Proteins are the essential elements in all creatures' life process. The prevailing experimental method to detect protein structure is time consuming. According to Anfinsen's theory, the primary structure is the key to shaping the three-dimensional structure of the protein. Thus, the prediction of proteins' structure avoiding complex experiments is theoretically feasible. Algorithms are applied to...
Among many DAG scheduling algorithms targeting at maximizing DAG ready tasks to cope with temporal uncertainties that occurs during task execution, the PB heuristic seems promising. This paper presents the work of adapting PB to a real distributed multi-core computing system with the PaRSEC scheduling runtime. The application performance results before and after adapting the PB heuristic to PaRSEC...
The coastal floods induced by hurricane storm surge are frequent, costly, and deadly hazards. Accurately and quickly estimating the spatial extent of floods is highly important for relief and rescue operations. In this study, we present an approach to estimate the extent of large-scale coastal floods using AMSR-E data through mixed-pixel linear decomposition. Furthermore, based on the water fraction,...
In this research, we apply the Green's theory for converting the partial differential equation to the boundary integral equation for geometric transformation. Green's theory is designed specifically for integral equation. It is efficient in detecting the singularity point to the geometric transformation that has been verified. Experimental results show that the Green's theory has good performance.
Image segmentation is a classic problem and basic research area in image processing. It can provide pre-detect information for subsequent image processing and classification. 2D Otsu method is a widely used non-parametric method to detect the threshold of image. In this paper, we employ the simplified swarm optimization (SSO) as a swarm-intelligent optimization method to search the threshold value...
Graph signal processing is a new research field in the signal processing community. Recently, windowed graph Fourier frames have been proposed to analyze graph signals. However, it is not easy to construct tight frames by using signal window function. In this paper, we extend the windowed graph Fourier transform to the multi-window case. The multi-windowed graph Fourier frames offer more freedom on...
The Traveling Salesman Problem (TSP) belongs to the class of NP-hard optimization problems. Its solving procedure is complicated, especially for large scale problems. In order to solve the large scale TSPs efficiently, this paper presents a bilevel genetic algorithm with clustering (BLGAC). BLGA-C uses a clustering method to divide a large scale TSP into several subproblems, each subproblem corresponds...
The J-TEXT newly deployed three-wave polarimeter-interferometer (POLARIS) system provides a better time and spatial resolution of the plasma electronic density than the old HCN interferometer system. The plasma electron density feedback control system is implemented on the already existing POLARIS DAQ system which is based on FlexRIO FPGA. Another FlexRIO board with an output module is added to implement...
Tearing Modes (TMs) degrade the performance of tokamak plasma, and can even lead to disruption. Using externally exerted resonant magnetic perturbations (RMP) to suppress tearing mode is a promising and effective way. In order to suppress 2/1 tearing mode, 2/1 RMP applied in given phase region to stabilize magnetic island and accelerate island rotation. The RMP feedback control system acquires 15-channels...
Due to high mobility and intermittent connections in vehicular networks, reliable and efficient vehicular communication is a challenging task. Previous research on Vehicle-to-Vehicle (V2V) communication mostly focuses on achieving reliable transmissions from a given source to a given destination by mining moving patterns of taxicabs. However, to the best of our knowledge, none of them considered the...
Complex network is becoming increasingly used in our daily life and society. The measurement of fractal dimension and self-similar trait in complex network have been a vital part in the research of complex system. In the recent years, more and more methods of measuring the fractal dimension have been presented. The different methods that based on box-covering algorithms was evaluated by the experiment...
In recent years, with the rapid development of smart phones, smart phones have become indispensable in our life. We can monitor human activities by the built-in sensors of the smartphone, and extract useful information for human services, such as human health, life log or assistance tips. In fact, this is a very low cost and efficient method. In previous research we have classified the walking style...
This paper realized the multi-sensor fusion based real-time hovering for a quadrotor without GPS in assigned position. Considering the drifting of optical flow and tracking algorithms when hovering, features matching approach was employed based on BRISK algorithm. When new frame comes, the adjacent frame or original reference frame was matched by turns to get motion or drift information, which was...
We reported a new method of enhancing the quantum efficiency (n) of InGaN/GaN multiple quantum well (MQW) solar cells using resonant cavity. The resonant cavity enhanced (RCE) structure is designed with a top mirror and a bottom distributed Bragg reflector (DBR). The origin of the enhancement in n is the resonance-induced increase of the optical field which causes more photons to be absorbed in the...
Participatory sensing plays an important role in Internet of Things (IoT) applications to collect large scale data via powerful sensors from ubiquitous devices. However, without a proper incentive mechanism to pay rewards to the users, the application provider (platform) cannot keep the motivation of users due to their costs during the data collection and uploading process. Moreover, conventional...
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