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In a wireless sensor network (WSN), usually there will be a sink to gather data and many sensor nodes are responsible for monitoring data, so users can know well about the situation in that field. In this paper, we proposed a Grid-Based Geocasting Protocol for WSNs called GB-FERMA. Based on grid structure, we utilize the theorem of Fermat point in order to find an optimal junction point branching...
The sustainable innovation capability is definitely motive power for obtaining sustainable competitive advantage for enterprise and consist of several factors. It is difficult to improve all factors at the same timeto enhance the sustainable innovation capability because of the resource limitation. To address this problem including vague and imprecise judgment in decision making, a fuzzy DEMATEL method...
Radon transform is robust to noise, and its performance is independent on the calculation of pattern centroid. Based on these facts, Radon transform is employed to extract invariant features in this paper. Radon functional integral transform is proposed, and Radon functional integral descriptors are constructed. It is proved that these descriptors are invariants to translation, scaling and rotation...
Aiming at the problem of greenhouse control system that is difficult to achieve precise control, which is caused by the characteristics of model uncertainty, long time-delay, large inertia and nonlinear, etc. this paper puts forward grey trend prediction theory based on the fuzzy PID control. The solutions of the grey trend prediction fuzzy PID control was used to achieve accurate prediction control...
We propose a novel method for Bayesian learning of the parameters of a mixed belief network. Given the structure of a network, the parameters of conditional distribution of a node based on its type (discrete or continuous) and the types of its parents are learnt from the data. This node-wise updating scheme puts no restriction on the number and type of parents any node can have. We also extended the...
Concept lattice is an effective tool for knowledge discovery and has been applied to many fields successfully. The objects and attributes have clear relations in the classical formal context, but there are a lot of fuzzy information in real-life applications. Therefore, it is important to study the fuzzy formal context. As we know, the fuzzy set and the classical set can be transformed into each other...
In order to examine the quality of thin-film ceramic LED substrates, manual inspection is commonly used. However, manual inspection causes various inherent and invertible persecutions. This study describes an auto-inspection system for detecting defects on LED substrates. Substrate sub-images are grabbed and registrated into an unwrapped image. The unwrapped image is shrunk where the inspected region...
Nowadays, the domestic mobile digital library services are facing the problems of high similarity, lacking innovation and inconvenience. In this paper we put forward and develop a mobile library application for smart phones. Based on the traditional library services, we take the users' personal preferences into consideration to provide better book recommendations and novel reading services, thus making...
In nondestructive testing of anchor bolt quality, it is important to identify the state of the anchor bolt accurately. In this paper, a combination method of spectral kurtosis and K-means clustering algorithm is proposed to identify different types of anchor models: maximum and nonzero minimum values are extracted as eigenvalues from spectral kurtosis distribution of anchor model signals which was...
Canonical correlation analysis(CCA) is a popular technique that works for finding the correlation between two sets of variables. However, CCA faces the problem of small sample size in dealing with high dimensional data. Several approaches have been proposed to overcome this issue, but the resulting transformation matrix fails to extract shared structures among data samples. In this paper, we propose...
Attribute reduction is an inevitable problem in machine learning and statistical learning. To improve the traditional rough set reduction, statistical rough sets is then proposed by introducing random sampling into the rough approximation. Random sampling is the main contribution of statistical rough sets. As a result, it is necessary to analyze the randomness of statistical rough sets. In this paper,...
Brushless DC motor has many sorts of problems in practice, for example, the most prominent are large overshoot and adjustment time is long. In this paper, a controller is proposed to solve these problems. Firstly, the structure and the working principle of BLDCM are analyzed. The double closed loop speed regulation system is simulated, including the speed loop with PI control, fuzzy adaptive PID control...
With the rapid development of machine-learning and data-mining techniques, biclustering (co-clustering) has become an important and widespread technique in multiple areas such as gene expression analysis, text mining and market segmentation. In this work, we proposed an efficient co-clustering method named SVD-based hybrid pattern search (SHPS). It is a score-function-based method, and specifically...
In this paper, aimed at the neutral-point potential unbalance of the three-level neutral point clamped inverter, an improved new control scheme about neutral-point potential balance was proposed and a simplified direct torque prediction scheme was used for induction motor fed by three-level inverter. Firstly, stator voltage vectors to be applied at the next time was preselected by the torque prediction...
Analytic Hierarchy Process is a popular decision tool that ranks the aggregated results from prioritizing the pairwise reciprocal matrices judged by the users. Saaty's Eigen method for prioritizing pairwise reciprocal matrix leads to the possibility of rank reversal, and is still one of the unsettled issues, although many applications of this method have been made. This study proposes the genetic...
Scrum process is methodology for software development. Members in a scrum team have self-organizing team by planning and sharing knowledge. This paper introduces optimization algorithm using the population as scrum team doing the scrum process to find an optimum solution. The proposed algorithm maintains the level of exploration and the exploitation search by specific of the scrum-team. The experiment...
In many scenarios, a persons behavior in office environment needs to be monitored and some predefined abnormal actions or activities should be detected and recognized. In this paper, we attempted towards the solution starting from a persons pose with poselets as the basic building blocks. The existed powerful pose representation, i.e., poselets, together with deep convolutional neural networks, are...
Aim of this study is to explore the applicability of patient reported outcome (PRO) scale to the efficacy evaluation of acupuncture for cervical spondylosis. Multidimensional three-parameter logistic model and multidimensional graded response model were established by programming autonomously with SF-36 scale. Markov chain Monte Carlo algorithm and expectation maximization algorithm were adopted to...
When people refer to physical locations in their casual communication, they would employ intuitive spatial relations such as ‘along’, ‘across’ and ‘between’ rather than the global coordinates. These word concepts seem to be human cognitive products, namely mental imagery, about the physical environment. This paper describes an attempt to provide robots with capability of natural language understanding...
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