Students’ knowledge assessment has occupied the attention of many researches pertaining to different disciplines. Recent areas of interest in this regard include availability of preliminary skills and status of latest obtained knowledge, self-assessment, grading methods, tests, hints, help functions,...

We present an algorithm to distribute a possibly large number of papers among a smaller number of referees, each paper requiring k reports. The optimality criterion for the assignment is not based on a local view of each referee, but on a global performance of the whole k-assignment satisfying a fairness...

The Stream data exists in the field of industrial production, life activities, business transactions, and other fields. It is closely related to people’s life, production and so on. This paper proposes inter-transaction association rules mining method based on dynamic support threshold. Inter-transaction...

The co-location pattern mining discovers the subsets of spatial features which are located together frequently in geography. However, the huge number of the co-location mining results limit the usability of co-location patterns. Furthermore, users hardly identify and understand the interesting knowledge...

in a number of listed companies to choose stocks to invest in, stock-market investors are focused on the key issues. Based on Shanghai 180 index as a benchmark, net rates, earnings, municipal rates, cash flow increased four factor classification for quality, value growth three factors, construction quality-value,...

Aiming at the significant demand of GEI in ultra high voltage(UHV),ubiquitous smart grid, the use of the regenerative clean energy, the paper presents a new sky-earth collaborative information communication network architecture which delivers the centralized and distributed power, wind energy, solar...

A lot of real-life mobile sensing applications are becoming available. These applications use mobile sensors embedded in smart phones to recognize human activities in order to get a better understanding of human behavior. In this paper, we propose a LSTM-based feature extraction approach to recognize...

This paper investigates the group consensus problem of first-order multi-agent networks with multiple time delays. By applying the theory of frequency-domain, we aim to propose some algebraic criteria such that the multi-agent networks can reach group consensus. From the results, it can be shown that...

Mass, energy and information are the three important quantities in the physical world. The diffusion and confusion of information is the guiding ideology of cipher algorithm coding. Linear transformation is generally used to realize the diffusion of information and S-box is used to realize the confusion....

The paper is to explore Micro-blog’s features, namely, whether it belongs to Document, the paper makes comparisons on definition, elements, information processing level, similarities and differences of ten documentary information sources, features and functions between Document and Micro-blog. The paper...

This paper presents a new scheme for data mining in spacecraft state association and abnormal detection. A method which includes state association knowledge mining (SAKM) and Similar Density Merge Clustering (SDMC) is developed. Data from the satellite are the most critical thing for analyzing satellite...

The descriptors should be robust to changes of images taken under various conditions in order to obtain correct recognition. In this paper, we compare the robustness of descriptors computed for local interest regions, for example, extracted by the Harris, SURF and MSER detector. Different descriptors...

In this paper, regarding to the fragility and surface erosion problems of Foshan ceramics, we discussed the methodology and technology of 3D reconstruction and virtual demonstration for Foshan ceramic object and cultural relics. We adopted Reverse Engineering technology to rebuild the shape of object...

With the rapid development of cloud computing technology, high performance network has been widely deployed in commercial cloud computing centers. This gives rise to the challenge of how to deal with the heavy network flow between virtual machines staying on different physical servers. SR-IOV (Single...

in this paper, impulsive neural networks with a Gui chaotic strange attractor is studied. By employing the Lyapunov-like stability theory of impulsive functional differential equations, some criteria for synchronization between two impulsive neural networks are derived. An illustrative example is provided...

In accordance with the approximate lower triangular parity check matrix standard of low-density parity-check codes in IEEE Standard 802.16e, this study used LabVIEW to write a variety of adjustable encoding patterns generated at the transmitter end within a single-program structure, including six groups...

Focusing on the access control of terminal equipment base on time division multiple access (TDMA), an experimental network based on the RTNET protocol was established. The real-time Linux kernel was reconstructed and RTNET protocol stack of real-time Ethernet was transplant in the paper. Based on the...