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22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)
The goal of this research is developing a multimrdia based mobile application, specially a mathematics mobile game for elementary school. This learning model should encourage student's ability to learn mathematics particularly numbers. This research consists of seven steps according to Borg & Gall named Research & Development, such as research and preliminary information collecting, planning,...
The accurate segmentation of pulmonary CT images is of great significance to clinical computer-aided diagnosis and treatment. In order to avoid the explicit extraction of image features and improve the efficiency of image segmentation and reduce the influence of human factors on the segmentation results, this paper proposes a method of segmenting pulmonary CT image based on membership function convolution...
In most differential evolution (DE) algorithms, little work for the design of the mutation operator is directly relevant to the information of fitness landscape of the problem being solved. As the previous studies show, different mutation strategies are suitable for different problems with different fitness landscapes, and the performance of the mutation strategy is tightly linked to the fitness landscape...
Spaceborne detection can obtain more direct, comprehensive and accurate astronomical data. Providing massive storage for spaceborne applications is the urgent requirement of applying Big Data technologies to advance astronomy research. Spacecraft storage must have the good balance between high performances, redundancy and low power consumption. Deepening inside the Existing research, it is difficult...
Mobile device forensics is an interdisciplinary field consisting of techniques applied to a wide range of computing devices. Android devices are among the most disruptive technologies of the last years, gaining even more diffusion and success in the daily life of a wide range of people categories. Android devices became even more important in the forensic field due to the rich amount of personal information...
MOOC is characterized by large amount of users and curriculums. The current main MOOC platforms are divided into information isolated island. So how to dynamic uniformly recommend courses to users that he or she is interested in, which is one of the challenges of such teaching network nowadays. MOOC course recommender system is a kind of knowledge service system based on the recommended models so...
An AC arc fault simulation test device with arc breaking function was developed. The device can meet the requirements on the basic functions of test device specified in Electrical fire monitoring system - Part 4: Arc fault detectors (GB14287.4), can effectively simulate the arc fault trigger and forming conditions of both circuits in series and parallel, and can achieve effective control of the number...
Informationization has entered the era of big data; the existing information platform is difficult to assume the task of information gathering and analysis. For this reason, we build an information system for social institutions and civil sector based on virtual cloud platform. With the secondary development based on browser/server architecture, typical subsystems are developed, such as traditional...
The individual applications of network coded opportunistic routing and successive interference cancellation have been proven with significant improvement on throughput performance of wireless multi-hop networks, but there lacks practical optimization on their combination application. Based on a TDMA system, this paper models the throughput maximization as network utility function maximization problem...
Based on the "triangular structure" and "internal evolution" evolution mechanism, an adjustable power-law network model with high clustering coefficients is presented. This model has the same characteristics as the standard scale-free networks with the power-law degree distribution, but it has the high clustering. Heterogeneity public goods game is studied on this network model...
Contrast to the two-dimensional directional sensor networks, the three-dimensional directional sensor networks increases complexity and diversity. External environment and sensor limitations impact the target monitoring and coverage. Adjustment strategies provide better auxiliary guide in the process of self-deployment, while strengthen the monitoring area coverage rate and monitoring capability of...
In this paper, we analyze the fundamental principles, and pros and cons of ICA and SVM, which are commonly used for face recognition. After investigating the SVM-based multiclass classification algorithm, we propose an improved binary tree SVM method, which is then combined with ICA to recognize faces. Features are first extracted via ICA in the experiment on the ORL face dataset. The improved binary...
Swarming movement of dynamical multi-agent systems with modeling errors is studied. Supposing multi-agent systems have multiple leader agents and their topology is dynamically changed with jointly-connected, swarming algorithm of multi-agent systems with model uncertain parameters is proposed. The moving stability of multi-agent systems with time-varying delays is investigated by applying Matrix theory...
With the rise and popular of artificial intelligence,the technology of conversation between human and machine get more and more attention. Using neural network model on the Encoder-Decoder framework has been wildly used in translation and human-machine conversation. This paper we propose a new hybrid neural network model (HNN) which consists of some essential neural network models (that is RNN, LSTM,...
Many real world complex networks possess exponential degree distribution with the characteristics of small length and self-similar. To better understand the formation mechanism of exponential distribution network, and make it more direct to reveal the change of degree sequence and the dynamic relationship among nodes in the process of network formation, we propose a deterministic iterative algorithm...
Real-time face recognition is one of the most challenging problems in face recognition. We propose a novel algorithm to address this problem based on a sparse representation based classification (SRC) framework. First, we remove the background through the background subtraction algorithm, extract the foreground, and then, extract the face, thereby reducing the workload of the latter algorithm to improve...
Nowadays, the main methods to evaluate the quality of target texts which are translated by machine translation system include BLUE, TER and METEOR. However, based on the frequency of words recurrence, edit distance of translation version and reference version as well as linguistic knowledge, such methods have limitations on deciding the perplexity of Chinese sentences. It is found that grammatical...
With the increasing use of ontologies in the Semantic Web and various applications, it is critical to supply efficient methods to query the information in ontologies. Especially fuzzy query, which is closer to the nature language, has been paid more and more attention in recently. This paper presents a method of fuzzy queries for ontologies based on relational databases. We first present a storage...
Discovering the causal relationship from the observational data is a key problem in many scientific research fields. However, it is not easy to discovery the causal relationship by using general causal discovery methods, such as constraint based method or additive noise model, among large scale data, due to the curse of the dimension. Although some causal dividing frameworks are proposed to alleviate...
Resampling is employed to alleviate the phenomenon of particle degradation in a particle filter. However, resampling weakens the diversity of particles, and results in inadequate convergence accuracy. To coordinate the conflict between the validity and diversity of the particle sets, an adaptive multi-level resampling based particle filtering algorithm (ARPF) is proposed in this paper. The particle...
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