Abstract The author investigated the big data papers included China Academic Journal Network Publishing Database of CNKI from 2002 to 2012, with the help of multivariate statistical analysis tools SPSS17.0 of cluster analysis, multidimensional scaling analysis and visualization tools Ucinet6 from posting growth law, distribution of authors, research institutes distribution, periodical distribution, and high-frequency words such as multiple perspectives bibliometrical analysis... The author investigated the big data papers included China Academic Journal Network Publishing Database of CNKI from 2002 to 2012, with the help of multivariate statistical analysis tools SPSS17.0 of cluster analysis, multidimensional scaling analysis and visualization tools Ucinet6 from posting growth law, distribution of authors, research institutes distribution, periodical distribution, and high-frequency words such as multiple perspectives bibliometrical analysis and visualization analysis, the data reveal a large field of research status, and summarizes research characteristics,in order to study big data in-depth development and the future development of big data provide reference information. Read More Read Less

Abstract There are many parameters which affect the economic benefit indicators for evaluation and they are all uncertain. Because of the parameters uncertainty, evaluation indicators values of economic benefit in project investment are also uncertain. In these years, more and more BP Neural network based models are established to evaluate the risk of investment for its characters of wide information distribution... There are many parameters which affect the economic benefit indicators for evaluation and they are all uncertain. Because of the parameters uncertainty, evaluation indicators values of economic benefit in project investment are also uncertain. In these years, more and more BP Neural network based models are established to evaluate the risk of investment for its characters of wide information distribution and strong fault tolerance. However, the internal defect of local minima problem in this model will greatly discount the effects of evaluation if the training data are not proposed selected. To solve this problem of traditional BP neural network, an optimization algorithm that combines the advantages of genetic algorithm (GA) and Tabu Search (TS) is proposed. The training process is divided into two phases in order to search promising parameters of the BP neural network in favor of better evaluation and analysis of the investment. In the first phase, the initial parameters are first searched by GA algorithm by taking advantage of its various searches of the solutions, and the best parameters are selected by Tabu search algorithm in the second phases. After calculation of practical data, it proves that the new algorithm has better convergence rate and predictive accuracy, which make the evaluation and risk analysis of the investment faster and more accurate. Read More Read Less

Abstract We compare the effect of different segmentation strategies for passage retrieval of user generated internet video. We consider retrieval of passages for rather abstract and complex queries that go beyond finding a certain object or constellation of objects in the visual channel. Hence the retrieval methods have to rely heavily on the recognized speech. Passage retrieval has mainly been studied... We compare the effect of different segmentation strategies for passage retrieval of user generated internet video. We consider retrieval of passages for rather abstract and complex queries that go beyond finding a certain object or constellation of objects in the visual channel. Hence the retrieval methods have to rely heavily on the recognized speech. Passage retrieval has mainly been studied to improve document retrieval and to enable question answering. In these domains best results were obtained using passages defined by the paragraph structure of the source documents or by using arbitrary overlapping passages. For the retrieval of relevant passages in a video no author defined paragraph structure is available. We compare retrieval results from 5 different types of segments: segments defined by shot boundaries, prosodic segments, fixed length segments, a sliding window and semantically coherent segments based on speech transcripts. We evaluated the methods on the corpus of the MediaEval 2011 Rich Speech Retrieval task. Our main conclusions are (1) that fixed length and coherent segments are clearly superior to segments based on speaker turns or shot boundaries; (2) that the retrieval results highly depend on the right choice for the segment length; and (3) that results using the segmentation into semantically coherent parts depend much less on the segment length. Especially, the quality of fixed length and sliding window segmentation drops fast when the segment length increases, while quality of the semantically coherent segments is much more stable. Thus, if coherent segments are defined, longer segments can be used and consequently fewer segments have to be considered at retrieval time. Read More Read Less

Abstract It has become increasingly difficult for the traditional audit information system to find out the necessary audit information from the mass data generated in the large scale application of accounting computerization and ERP software, etc. For the current massive financial and operation information data of enterprises, a new audit model is necessarily explored to satisfy the requirements on massive information... It has become increasingly difficult for the traditional audit information system to find out the necessary audit information from the mass data generated in the large scale application of accounting computerization and ERP software, etc. For the current massive financial and operation information data of enterprises, a new audit model is necessarily explored to satisfy the requirements on massive information audit. Dynamic on-line analysis and audit information system can provide a brand new train of thought to conduct rapid and efficient audit in mass data. Under such a backdrop, selective introduction of the computer audit mode based on OLAP from Western Countries has become the necessity for the current audit development of our country. The computer audit based on OLAP technology mainly conducts multi-angle data observation, finding suspicious audit data, and create an audit data model in advance; it mainly includes five parts, i.e. data model subsystem, audit online analysis processing subsystem, auditing business management subsystem, expertise experience library subsystem and audit alarm subsystem. Read More Read Less

Abstract Taking the personalized information needs of users as the research object, this article introduced the individualized service process of digital library, established the Agent model, built multivariate function by combining with the user preference model, and expounded the process of personalized information acquisition, analysis and push. We could conclude that digital library personalized information service system operated coordinately between each... Taking the personalized information needs of users as the research object, this article introduced the individualized service process of digital library, established the Agent model, built multivariate function by combining with the user preference model, and expounded the process of personalized information acquisition, analysis and push. We could conclude that digital library personalized information service system operated coordinately between each module, and had a complete chain of relationships. It could discovery and track information resources independently, effectively solve the problem of information overload, and realize the optimization of user information needs. Read More Read Less

Abstract With the popularity of the Internet, people can purchase and sell goods and services online just staying at home, and this trend is becoming increasingly apparent. The Internet, as a global computer network, has to provide the following five services: security, data integrity, authentication, usability, and reliable information. In case of lack of safety measures, Internet trading risk is very... With the popularity of the Internet, people can purchase and sell goods and services online just staying at home, and this trend is becoming increasingly apparent. The Internet, as a global computer network, has to provide the following five services: security, data integrity, authentication, usability, and reliable information. In case of lack of safety measures, Internet trading risk is very high. Digital certificates can provide proof of identity in Internet transactions, so that we can greatly reduce transaction risk. This paper describes an approach based on the X.509 standard for digital certificates, using the C language generate public key algorithm RSA, enabling digital certificate generation and signature verification process, the identity of certification users can be verified. Read More Read Less

Abstract With the continuous development of science and technology, the development of the enterprise also requires the agility of enterprises. At present,SOA is one of the most popular means of achieving enterprises agility.This article embarks on the Petri net model to study the service modeling method of information management software. Firstly, it introduces service-oriented architecture SOA and the methodology of service... With the continuous development of science and technology, the development of the enterprise also requires the agility of enterprises. At present,SOA is one of the most popular means of achieving enterprises agility.This article embarks on the Petri net model to study the service modeling method of information management software. Firstly, it introduces service-oriented architecture SOA and the methodology of service modeling SOMA, it has been understood its theoretical basis.Secondly, it expounds the structure and characteristics of Petri net. And then it introduces the PN - SM modeling process and the basic structure of the model. Finally, it draws the conclusion: Petri net is a kind of system model that suitable for describing concurrent characteristic. Read More Read Less

Abstract The method of rule extraction based on differential evolution (DE-Rule) is proposed in this paper. The style of rule is IF-THEN. Connection word is AND in the antecedent of rule. The consequence of rule is class label. The above rule is encoded and expressed to individual in population of differential evolution. Then the population is iterated through differential mutation and... The method of rule extraction based on differential evolution (DE-Rule) is proposed in this paper. The style of rule is IF-THEN. Connection word is AND in the antecedent of rule. The consequence of rule is class label. The above rule is encoded and expressed to individual in population of differential evolution. Then the population is iterated through differential mutation and binomial crossover. Optimal rule set is obtained after decoding the optimal individual. Finally, DE-Rule, RS-Rule and ANN-GA-Cascades-Rule are used to recognize oil reservoir (dry layer, water layer, inferiority layer and oil layer) in the Jianghan oil field. Data of well oilsk81 is training data and data of well oilsk83 is testing data. The results show that performance of accuracy and interpretability in DE-Rule is the best. Read More Read Less

Abstract In order to reduce the increase of network delay and excessive energy consumption, which are caused by network code in WSNs, a fast random linear mechanism of network coding based on nodes collaboration is introduced. Energy consumption of nodes is reduced by transmitting the initial code of the node, and transmitting linear independent packets received merely. After gathering node coding,... In order to reduce the increase of network delay and excessive energy consumption, which are caused by network code in WSNs, a fast random linear mechanism of network coding based on nodes collaboration is introduced. Energy consumption of nodes is reduced by transmitting the initial code of the node, and transmitting linear independent packets received merely. After gathering node coding, ACK return along the best path to reduce the network delay. Simulation results show that delay of data transmission is reduced greatly by introducing random linear network coding for sensor network, and the improved coded mode balances the network load. Read More Read Less

Abstract This paper discussed the weak security of random linear network coding in wireless network in view of network coding weak security theory where the wiretapper can successfully obtain initial data and conditions threatening transmission security by decoding. The experiment results displayed, in wireless network, the relationship between decodes success probability of multi-node co-wiretapping, the decodes time of destination node and... This paper discussed the weak security of random linear network coding in wireless network in view of network coding weak security theory where the wiretapper can successfully obtain initial data and conditions threatening transmission security by decoding. The experiment results displayed, in wireless network, the relationship between decodes success probability of multi-node co-wiretapping, the decodes time of destination node and the node number in round and network, the number of data packet which source node sends every time, Galois field size and transmission radius of each node. Read More Read Less

Abstract Due to the high vulnerability of today's social systems against disruptions, it has become critical to measure and manage the robustness of social networks. In this study the relationship between social network's topology and its robustness in the presence of cascading failures is examined. In the attempt to help practice in increasing the robustness of social systems, the concept of... Due to the high vulnerability of today's social systems against disruptions, it has become critical to measure and manage the robustness of social networks. In this study the relationship between social network's topology and its robustness in the presence of cascading failures is examined. In the attempt to help practice in increasing the robustness of social systems, the concept of the robustness of social systems is discussed and defined first. And then we propose a new dynamic model of social systems to investigate the robustness of social systems. We theorize that network characteristics such as average path length, node degree, and size of the largest connected component in social networks and so on. Based on the model, a good evaluation method is proposed to investigate the robustness of social networks against the cascading failures of component nodes. Finally, the damage degree of social networks considering cascading failures is investigated through our model. The simulation results confirm that there is a positive relationship between the robustness of social systems and social system performance, while a negative relationship between the topology structure and the robustness of social systems. By the dynamic model, we not only identify the potential key nodes, but also obtain the parameter value which can make the social network reach strongest robustness level. Our work develops a new methodology to the real world application. This research is helpful to increase the robustness of such complex systems and tackle the optimization problem of them. Read More Read Less

Abstract Supervisory control and data acquisition system (SCADA) is used to monitor the operating data of heating network. But it can do data acquisition and some simple operations only. So in this paper with the data collected by SCADA a leakage monitoring system of pipeline in heating network is designed by the Matble graphical user interface program (GUI). The theoretical basis... Supervisory control and data acquisition system (SCADA) is used to monitor the operating data of heating network. But it can do data acquisition and some simple operations only. So in this paper with the data collected by SCADA a leakage monitoring system of pipeline in heating network is designed by the Matble graphical user interface program (GUI). The theoretical basis of this monitoring is the heating network pressure graph theory and the theory of genetic algorithm. With the theory of genetic algorithm the data col-lected by SCADA could be optimized. The optimization avoid the erroneous data which due to measurement error. With the heating network graph theory the leakage monitoring system of pipeline could identify if there is a leakage in the operating conditions in heating pipe network. In the leakage monitoring system, the first step is to collect the initial data which optimized by genetic algorithm as a standard data and these data are stored as a fixed value. After that this system collects the real-time data of heating network and optimizes these data. Finally, the system compares the optimizing real-time data and the fixed value to determine whether there is a leakage. With the experiment the monitoring system which designed in this paper is proved to be very useful in leakage discrimination. Read More Read Less

Abstract In order to solve the problem of rotation invariant texture image retrieval, an image retrieval algorithm based on Log-Polar and nonsubsampled contourlet transform (NSCT) is proposed. Log-Polar transform was first applied to texture image to convert the rotation to translation. Then, translation invariant NSCT was employed to decompose the transformed images. Standard deviations, energies and entropies of the different directional... In order to solve the problem of rotation invariant texture image retrieval, an image retrieval algorithm based on Log-Polar and nonsubsampled contourlet transform (NSCT) is proposed. Log-Polar transform was first applied to texture image to convert the rotation to translation. Then, translation invariant NSCT was employed to decompose the transformed images. Standard deviations, energies and entropies of the different directional subbands features were calculated to make up a 45-dimension feature vector. Finally, Canberra distance was used to compute the comparability of this feature vector to retrieval images. The experiment results showed that the proposed algorithm was able to obtain a higher recall rate. Read More Read Less

Abstract During recent years,RFID technology has a wide applications in many fields.Since singnal transmit by the radio frequency, it raises many security and privacy concerns. Ownership transfer of RFID tags is another requriement for RFID systems. During the life of tag, it may pass from manufacutrer to commercial agent, the ownership of tag need change correspondingly.Taking into account the natural security... During recent years,RFID technology has a wide applications in many fields.Since singnal transmit by the radio frequency, it raises many security and privacy concerns. Ownership transfer of RFID tags is another requriement for RFID systems. During the life of tag, it may pass from manufacutrer to commercial agent, the ownership of tag need change correspondingly.Taking into account the natural security flaws in RFID systems, it is a challenge to design an authentication protocol with ownership transfer. In this paper, we propose an RFID security method that achieves all requirements based on xor and Public Key Infrastructure (PKI). In addition, we prove it with BAN logic. Read More Read Less

Abstract An adaptive genetic algorithm of service selection in pervasive computing is presented in this paper. By means of matrix encoding, this algorithm carries out selection, crossover and mutation operations of genetic algorithm, with matrix as individual chromosome and matrix array as gene. Based on the elitism selection strategy and adaptive strategy, this algorithm replicates the optimal individual of every generation... An adaptive genetic algorithm of service selection in pervasive computing is presented in this paper. By means of matrix encoding, this algorithm carries out selection, crossover and mutation operations of genetic algorithm, with matrix as individual chromosome and matrix array as gene. Based on the elitism selection strategy and adaptive strategy, this algorithm replicates the optimal individual of every generation to the next generation, and adaptively adjusts crossover and mutation probabilities according to the fitness value of individual, which is aimed at protecting the individuals with high fitness and weeding out those with low fitness. Simulated comparison proves that this algorithm is of good convergence, which also shows more stable optimization ability, compared with ordinary genetic algorithm and random selection algorithm. Read More Read Less