Abstract By using advanced cloud computing, virtualization and distributed video load balance technology, the paper constructs an interactive platform which shares the teaching resources. On the one hand it provides a beyond time and space, free and equal interactive teaching and learning platform for the teachers and students. On the other hand it offers teaching resources Networked storage, utilization, communication and... By using advanced cloud computing, virtualization and distributed video load balance technology, the paper constructs an interactive platform which shares the teaching resources. On the one hand it provides a beyond time and space, free and equal interactive teaching and learning platform for the teachers and students. On the other hand it offers teaching resources Networked storage, utilization, communication and show space. Dispersive resources will be classified automatically and integrated modularly in order to perform Characteristic and high-quality multimedia resource database and media teaching characteristic of material database. Read More Read Less

Abstract Previous studies show that associative classification achieves higher classification accuracy than traditional classification approaches. However, associative classification suffers from two major deficiencies and thus sometimes has lower classification accuracy. First, it often generates a large number of rules when the minimum support is set to be low. It is not only time consuming to discover so many itemsets, but also... Previous studies show that associative classification achieves higher classification accuracy than traditional classification approaches. However, associative classification suffers from two major deficiencies and thus sometimes has lower classification accuracy. First, it often generates a large number of rules when the minimum support is set to be low. It is not only time consuming to discover so many itemsets, but also very difficult to select high quality rules from a huge set of rules. Second, the association measure confidence does not reflect correlation relationships between itemsets and the class label. To deal these problems, in this paper, we propose a new classification approach called classification based on multiple class-correlation rules (CMCCR). First, we use both support and all-confidence to mine not only frequent but also mutually associated itemsets. This method not only saves the running time but as well considerably reduces the number of itemsets generated, and thus sharply decreases the number of class-correlation rules produced. Second, we use a new correlation measure correlation confidence to discover class-correlation rules. The measure correlation confidence has two bounds: - 1and 1. It is easy to control the correlation degree of the class-correlation rules found. Finally, we use multiple class-correlation rules and average correlation degree to measure the combined effect of group rules. Experimental results on the mushroom data set show that CMCCR has higher and more stable accuracy than associative classification and decision tree method. Read More Read Less

Abstract The artificial intelligence simulation with virtual humans in virtual environment is considered as a research focus after movement simulation in field of artificial intelligence and simulation with virtual human include affective model and influence of affection to movement planning of virtual human. It's necessary to review on virtual human's affective model and related applied algorithm. A* algorithm is the main... The artificial intelligence simulation with virtual humans in virtual environment is considered as a research focus after movement simulation in field of artificial intelligence and simulation with virtual human include affective model and influence of affection to movement planning of virtual human. It's necessary to review on virtual human's affective model and related applied algorithm. A* algorithm is the main heuristic algorithm in artificial intelligence to search for the optimal solution of embodiment's path planning. In miscellaneous ergodic algorithms and heuristic search algorithms A* algorithm both has its own advantages. But facing more intricate virtual environment A* algorithm need to be improved by effective affective evaluation to get more flexible, comprehensive and humanized optimal path. Read More Read Less

Abstract The unattended nature of wireless sensor networks makes them very vulnerable to malicious attacks. An adversary can physically compromise a subset of sensor nodes in a wireless sensor network to eavesdrop information. Due to some intrinsic features of wireless sensor network, it is difficult to perform efficient intrusion detection against malicious nodes in such a resource-restricted environment. In this paper,... The unattended nature of wireless sensor networks makes them very vulnerable to malicious attacks. An adversary can physically compromise a subset of sensor nodes in a wireless sensor network to eavesdrop information. Due to some intrinsic features of wireless sensor network, it is difficult to perform efficient intrusion detection against malicious nodes in such a resource-restricted environment. In this paper, we propose a novel secure mechanism, SERCID for wireless sensor networks. The mechanism consists of a key-based secure routing algorithm and a counter-based intrusion detection algorithm. The approach is able to protect the data collection in a wireless sensor network even if there are malicious nodes in the network. The major contribution of our work is that we present an original approach to defend wireless sensor networks against both tampering and packet-dropping attacks, for the first time. We provide a relatively simple but reliable approach to support secure data collection in wireless sensor networks. Compared with existing research efforts, the proposed approach is easy to be implemented and performed in resource-constrained wireless sensor networks. Read More Read Less

Abstract Focusing on the protection of privacy and non- publicity of special networks, the CPN model is extended to PCPN by the protocol factor and the formal model. The FPCPN (Formal Protocol Colored Petri Net) is presented to analyze the operation mechanism of protocols. It is introduced by four steps, such as the whole structure, the network element conversion, the conditions... Focusing on the protection of privacy and non- publicity of special networks, the CPN model is extended to PCPN by the protocol factor and the formal model. The FPCPN (Formal Protocol Colored Petri Net) is presented to analyze the operation mechanism of protocols. It is introduced by four steps, such as the whole structure, the network element conversion, the conditions of transition triggers/executions and sub-system partitions. Finally, the feasibility and efficiency of FPCPN is validated by an example. Read More Read Less

Abstract In this paper, we present an application of wavelet analysis on feature points matching. Wavelet coefficients which produced by wavelet transform can best display part character of the image. Through the new feature description and feature matching method, we can build a feature point database for each image and improve the efficiency of feature points matching. The experimental results show... In this paper, we present an application of wavelet analysis on feature points matching. Wavelet coefficients which produced by wavelet transform can best display part character of the image. Through the new feature description and feature matching method, we can build a feature point database for each image and improve the efficiency of feature points matching. The experimental results show that this method is practicability, feasibility, good precision and fast speed. Read More Read Less

Abstract Inductor with gradual changed metal width and space by good design can get better Q factor than the inductor with fixed metal width and space. In this paper, a simple wide-band inductor model is presented considering both the increase of resistance and the decrease of inductance due to the skin and proximity effects. This model has been verified with simulation... Inductor with gradual changed metal width and space by good design can get better Q factor than the inductor with fixed metal width and space. In this paper, a simple wide-band inductor model is presented considering both the increase of resistance and the decrease of inductance due to the skin and proximity effects. This model has been verified with simulation and the experimental results of spiral inductors with various geometrical configurations on high-resistivity silicon substrate. Good agreements have been achieved under the selfresonance frequency, which indicates its accuracy. This model has also been proved to be suitable for both the conventional inductor with fixed structure and the inductor with gradual changed structure. Read More Read Less

Abstract To detect the story boundary (SB) of Xinwenlianbo precisely, this paper proposes a method of three-level criterion story segmentation (SS) based on content analysis. For the story with anchorperson, this paper uses penny distance to judge whether the anchorperson gotten by video feature is true or not to look for SB; for the story without anchorperson, this paper looks for... To detect the story boundary (SB) of Xinwenlianbo precisely, this paper proposes a method of three-level criterion story segmentation (SS) based on content analysis. For the story with anchorperson, this paper uses penny distance to judge whether the anchorperson gotten by video feature is true or not to look for SB; for the story without anchorperson, this paper looks for the SB by judging the shot change point occurs in the silence region. The experiment results show that the method can improve 6.98% precision comparing with only using video feature in anchor detection and the error range can be decreased from 1.5 ~2.5 seconds to 0 ~0.5 second in SB without anchor by silence detection, which settles the problem of no precision boundary and video frame lost corresponding to silence for only using silence .The final precision of SS reaches 93.12%. Read More Read Less

Abstract To construct the log ontology is one of the main tasks of semantic Web usage mining. In order to discover the hierarchy of users visit interesting for web sites, we propose a taxonomic relationship learning approach for content events on log ontology. In this method, event is used to express the users visiting action, and content event is the semantic... To construct the log ontology is one of the main tasks of semantic Web usage mining. In order to discover the hierarchy of users visit interesting for web sites, we propose a taxonomic relationship learning approach for content events on log ontology. In this method, event is used to express the users visiting action, and content event is the semantic behavior of users visiting to the page content of sites. This method extracts the taxonomic relationship of content event by web document cluster based on swarm intelligence, which combines web content mining and web usage mining. This method improves the results of semantic Web usage mining and provides more decision-making for optimizing the structure of Web sites. The simulation experimental results show that this method is effective and quite feasible to solve practical problems. Read More Read Less

Abstract At present, Mobile Ad Hoc Networks (MANET) have become a hot research field, in view that the mobile nodes have the characteristics of mobility, limited energy, limited storage space and so on. Thus to design a simple and high-efficiency routing protocol is an important issue. AODV routing protocol can resolve the routing problem of Mobile Ad Hoc Networks, but it... At present, Mobile Ad Hoc Networks (MANET) have become a hot research field, in view that the mobile nodes have the characteristics of mobility, limited energy, limited storage space and so on. Thus to design a simple and high-efficiency routing protocol is an important issue. AODV routing protocol can resolve the routing problem of Mobile Ad Hoc Networks, but it still has many shortcomings, such that it uses flooding method to broadcast messages and finds the route, which cause heavy network overhead and other problems. In this paper, in order to resolve the low efficiency of simple flooding, we first analyze AODV routing protocol briefly. After that we propose an improved routing broadcast algorithm GAODV, which aims to restrict the forwarding nodes within a local area through the geometrical routing, and prevent from flooding the control packet in the whole network. Simulation results show that the G-AODV effectively reduces network overhead and the end to end delay. Moreover, it also significantly improves the effectiveness of protocol and the overall performance of the network. Read More Read Less

Abstract Based on membrane computing (MCCOP for short), a constrained optimization evolutionary algorithm is proposed with the evolutionary operations and strategies designed. In MCCOP, a membrane is associated with a constraint and the tentative solutions evolved according to the rules in the membrane. And it is evaluated by the constraint function value as the fitness. The subpopulations can communicate efficiently during... Based on membrane computing (MCCOP for short), a constrained optimization evolutionary algorithm is proposed with the evolutionary operations and strategies designed. In MCCOP, a membrane is associated with a constraint and the tentative solutions evolved according to the rules in the membrane. And it is evaluated by the constraint function value as the fitness. The subpopulations can communicate efficiently during the evolution process by making use of the structure of P systems and the communication mechanism among the membranes. The computational experiments show that MCCOP can converge to optimal or close to optimal solutions efficiently and that MCCOP outperforms or performs similarly to the other techniques referred to in terms of the quality of the resulting solutions Read More Read Less

Abstract A structural damage identification approach based on wavelet packet decomposition (WPD) and random forests (RF) was proposed and compared with other pattern classification approachs. The main procedure involves extracting energy features from vibration acceleration data through wavelet packet decomposition and then using these features as input for a RF classifier. The experiment was carried on an 8-storey steel shear building... A structural damage identification approach based on wavelet packet decomposition (WPD) and random forests (RF) was proposed and compared with other pattern classification approachs. The main procedure involves extracting energy features from vibration acceleration data through wavelet packet decomposition and then using these features as input for a RF classifier. The experiment was carried on an 8-storey steel shear building model in the case verification. The results show that the proposed method is effective for structure damage detection and can achieve a higher accuracy than other commonly used methods. Read More Read Less

Abstract According to the unsystematic state of current health information systems integration and aiming to improve semantic interoperability, the approach for health information systems under SOA is studied in detailed. As for the system engineering, the concept of HIS integration is discussed. After that, a SOA-based health information system architecture and MDA-based modeling and simulation analysis approach are explored. Finally, a... According to the unsystematic state of current health information systems integration and aiming to improve semantic interoperability, the approach for health information systems under SOA is studied in detailed. As for the system engineering, the concept of HIS integration is discussed. After that, a SOA-based health information system architecture and MDA-based modeling and simulation analysis approach are explored. Finally, a service-oriented integrated environment is designed. Read More Read Less

Abstract By using advanced cloud computing, virtualization and distributed video load balance technology, the paper constructs an interactive platform which shares the teaching resources. On the one hand it provides a beyond time and space, free and equal interactive teaching and learning platform for the teachers and students. On the other hand it offers teaching resources Networked storage, utilization, communication and... By using advanced cloud computing, virtualization and distributed video load balance technology, the paper constructs an interactive platform which shares the teaching resources. On the one hand it provides a beyond time and space, free and equal interactive teaching and learning platform for the teachers and students. On the other hand it offers teaching resources Networked storage, utilization, communication and show space. Dispersive resources will be classified automatically and integrated modularly in order to perform Characteristic and high-quality multimedia resource database and media teaching characteristic of material database. Read More Read Less

Abstract This paper analyzes the problem of research topics. The key words are extracted from the academic papers published in the key journals based on information processing technology, and these words have the cooccurrence relationship between clustered. Research topics in the academic field analysis applications, researchers can provide a clear outline; in the information retrieval process, you can help clarify the... This paper analyzes the problem of research topics. The key words are extracted from the academic papers published in the key journals based on information processing technology, and these words have the cooccurrence relationship between clustered. Research topics in the academic field analysis applications, researchers can provide a clear outline; in the information retrieval process, you can help clarify the information needs. We will apply the proposed method to ROCLING seminar papers on the data to extract the important field of computational linguistics research topics. The results show that this method can be applied to the special circumstances of domestic academic field, while taking out the key words in English and Chinese. the word has been said that the field of cluster results can also be an important research topic. These results in a preliminary validation of the method proposed in this paper the feasibility. It can also be found that application of computational linguistics research and practice are closely related, taking out many of the words in the cluster and machine translation, speech processing and information retrieval related to the calculation model in the language, grammar patterns and analysis, broken words and statistical language model type is the calculation is the subject of interest to linguists. Read More Read Less

Abstract It has become an important subject to reform Computer Application Technology (CAT) major in higher vocational colleges against the backdrop of fierce competition. Firstly, this paper analyzes the prevailing problems in this major and their causes. Secondly, this paper proposes that reform in CAT major can only be realized based on the tripartite linkage of industry, enterprise and college. Thirdly,... It has become an important subject to reform Computer Application Technology (CAT) major in higher vocational colleges against the backdrop of fierce competition. Firstly, this paper analyzes the prevailing problems in this major and their causes. Secondly, this paper proposes that reform in CAT major can only be realized based on the tripartite linkage of industry, enterprise and college. Thirdly, this paper further introduces the channel for major orientation, course system development and teaching staff building with the mechanism of tripartite linkage. Read More Read Less