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With the rapid development of e-commerce business, a more reliable and extensible database cluster architecture is needed in almost all e-commerce systems. For a distributed-system, Percona XtraDB Cluster provides consistency and availability. MySQL Replication provides availability and partitioning tolerance. In an e-commerce system, we need consistency, availability, partitioning tolerance in different...
The notion of Triangular intuitionistic fuzzy numbers (TIFNs) is very useful and interesting in Multiple Attribute Decision Making (MADM) problems for quantifying uncertainty and subjectivity, but the ranking of TIFNs is not an easy problem. The aim of this paper is to propose a new approach to rank TIFNs. The concepts and operational laws of TIFNs are introduced. Then a new approach is developed...
Pen-based e-form is the e-form software based on pen-based user interface. Because of the complexity of existing development tool and difficulty of implementing pen-based user interface, pen-based e-form only can be designed and implemented by the professional developers, which make it difficult to adapt to the changing user requirements. It is a good method to solve the above problem to develop a...
The past decades have witnessed a boom in online music industry as a result of rapid development of information technology. This emerging field, however, lacks appropriate pricing methods. In order to coordinate with the marketing strategies of online music and guarantee satisfactory returns for both sellers and buyers of online music, a pricing model based on Stackelberg Model and Particle Swarm...
With the rapid development of Cloud computing, social computing, and Big Data, the service composition in support of increasing knowledge-intensive innovation activities across enterprises and organizations sets a new challenge of dealing with diversified users' needs and changeable structures in process. Automatic service composition mainly makes use of artificial intelligence planning techniques...
As the number of mobile applications grows rapidly, personalized recommendation for mobile apps becomes more and more important to mobile App stores. While most of the current works focused on proposing novel recommendation models for mobile apps, the lack of understanding of user download behaviors still remains a problem. Towards this end, we conducted a user behavior study on a large scale real...
Pointing at the defect of Space Frequency Algorithm in abstracting detail information used in Regional Feature Self-Adaptive Image Fusion Algorithm, an improved Spatial Frequency Algorithm is proposed. Firstly, the histogram specification is used to adjust pixel values of the infrared image. Secondly, the multi-scale decomposition is performed on visible image and the adjusted infrared image using...
People rely on data mining techniques like text categorization more and more to explore valuable information, due to the ever-increasing electronic documents produced. Although the energy consumed by text categorization increases with the data, people usually pay attention to its effectiveness and there is little research about its energy cost. In this paper, we evaluate the energy cost of different...
This paper explored why employees share their knowledge with others based on three typical Congolese companies. A thorough content analysis was conducted in order to analyze our data, which were collected from an online survey. Our results indicated that motivations were divided into different types depending on different knowledge sharing behaviors. Learning new knowledge, knowledge self-efficacy...
With the rapid development of Internet of Things (IoT), how to deal with the increasing number of objects with heterogeneity has become a new issue. Cognitive management emerges as the times require. On the basis of existing cognitive management frameworks, we provide a new cognitive management framework for the IoT system. The framework is based on cognitive cycle with the ability of controlling...
A compact optimization method with neural network fault diagnosis samples is presented by combining with grey correlation analysis theory, so as to resolve on-line fault diagnosis issues on massive amounts of samples affecting the neural network diagnostic performances and its application in engineering. This method is utilized to enhance the network performances of neural network, and speed up the...
This paper presents a collaborative method to make full use of the advantages of CAD and CAR (Computer aided robot) software in industrial robotic application. CAR software is a necessary tool in robotic cell design with robot programming and robotic cell/line performance simulation with imported CAD model. However, due to the lack of efficient channel between CAD and CAR, the check-and-change design...
To improve the shortage of the existing online examination system, a common online curriculum examination system is designed and realized. Mainly from the system function design, database design and security mechanisms design, the paper elaborates the implementation of the system. Many courses and a variety of questions can be taken into account by the system, and also flexible and comprehensive exam...
Aiming at the problem that it is difficult to identify the fast moving objects in complex background, the paper proposes a method that establishes the inter-frame background sequence, and then multiply the pixel grayscale in the difference image. It defines constraint rules for public background image, gets moving target region with higher-order cumulant and block grayscale, and further highlights...
A novel synthesis technique which can arbitrarily place transmission zeros, directly synthesize in band-pass domain without a low-pass prototype transformation for generalized Chebyshev microwave band-pass filters is discussed in this paper. Compared with the classical synthesis theory for narrowband filters, this method can reduce the relative error generated in the frequency transformation and apply...
In this paper, a novel one-class classification approach, namely, robust smooth one-class support vector machine (RSOCSVM) is proposed. The proposed method can efficiently enhance the anti-noise ability of the traditional one-class support vector machine (OCSVM). Utilizing the smooth technique, RSOCSVM reformulates the quadratic programming problem of OCSVM as an unstrained optimization format. Moreover,...
The paper presents a measure to improve the Tarantula spectral fault localization algorithm and solves the problems that the weight of the statements with a high-frequency coverage is significantly lower than the statements with a low-frequency coverage when Tarantula algorithm calculate the statement suspicious degrees. The improved algorithm has better discrimination when calculating the statement...
A 2.4 GHz integer-N frequency synthesizer is purposed in tsmc 0.18-μm CMOS process. The purposed design can be used for the IEEE 802.15.4a unlicensed ultra-wideband healthcare applications such as body sensor network to wireless connect with computer network. Electrocardiogram (ECG) is the important physiological parameters in human body. Through monitoring and analyzing ECG, the current-switching...
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