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In order to solve the trust problem and resource scheduling efficiency problem in the current cloud manufacturing system, this paper researched the application of block chain technology in cloud manufacturing system. Firstly, this paper expounded the significance of applying blockchain technology to cloud manufacturing system, and proposed a cloud manufacturing system based on blockchain technology. Secondly, this paper designed the manufacturing resource scheduling mode based on smart contract. And constructed the resource scheduling model aim to with the minimum manufacturing cost, the shortest time and the highest qualification rate. The model used differential evolution algorithm to solve. Finally, it simulated the experiment . The simulation results show the resource scheduling method based on the blockchain technology in the smart contract not only ensures the mutual trust between the participants in the system, but also effectively improves the resource scheduling efficiency and the superiority of the resource scheduling scheme of the cloud manufacturing system. [ABSTRACT FROM AUTHOR]

In view of the problem of waste recycling management, in order to achieve the goal of optimal decision-making and profit maximization of each subject in the closed-loop supply chain, this paper established a closed-loop supply chain decision model based on the differential pricing of new products and remanufactured products based on third party recycling under the uncertainty of recycling and government regulation. It was compared and analyzed the change of system decision variables under the centralized and decentralized decision-making, and used the cost-sharing contract mechanism to coordinate the supply chain to achieve the optimal goal of centralized decision-making. The numerical simulation analysis validated model 's correctness and validity. Research shows: the greater the uncertainty of recovery, the greater the loss of profits, and the dominant members have the right to choose the coordination factor, and seek more profits for themselves. [ABSTRACT FROM AUTHOR]

Based on that for re-manufactured products, recyclable waste availability is different from consumers' preference. The total profit of the closed-loop supply chain with waste products and consumer preferences availability has changes. In order to analyze the changes, this paper established a differential pricing model for a closed-loop supply chain. The results show that total profit increases as the consumer preference coefficient increases, when the total value of re-manufactured and residual value units is greater than the unit cost price preference of new products. However, in the case of decentralized decision-making, it would cause a loss of efficiency between the nodes of each enterprise. So, it established a coordinated contract revenue sharing mechanism based on the equilibrium results under centralized decision-making. At last, through the numerical simulations to calculate specific value range of the revenue sharing ratio, it realizes the effective coordination between the nodes in the supply chain. [ABSTRACT FROM AUTHOR]

For research on the efficiency of processing large data sets with K-nearest neighbor(KNN) method, this paper proposed a distributed exact fuzzy-KNN classification algorithm based on Spark framework. The method innovatively combined the Spark framework distributed map and reduce processes with the fuzzy-KNN. Firstly, it processed the training sample category information in different partitions to obtain the class membership degree. It converted the training set into a fuzzy training set with adding membership degrees, and then used the KNN algorithm to calculate the k nearest neighbor of the previously calculated class member test set. Finally, it was classified by distance weight. Experiments on mega-scale dataset samples and comparison experiments with other algorithms show that this method is feasible and effective . [ABSTRACT FROM AUTHOR]

In order to solve the problem of manufacturing resources sharing and collaboration in complex manufacturing, this paper built an evolutionary game model concerned with manufacturing resources sharing under the circumstance of cloud manufacturing. The model revealed the evolutionary relationship of manufacturing resources sharing between RSP ( resource service provider) and RSD ( resource service demander) . Meanwhile, it compared and analyzed the influence of parameter variation on the evolution result on the basis of SD( system dynamics) model built by a system dynamics software. The result demonstrates that the re are a series of factors which can exert obvious influences on strategic evolutionary result of both sides of game businesses. These factors include initial share ratio, platform management ability coefficient, resource transformation ability coefficient, resource collaboration ability coefficient, information efficiency coefficient, technical loss risk coefficient, channel cost efficient, penalty cost coefficient, trust coefficient and incentive efficient. Therefore, solutions can be taken from the above-mentioned aspects so as to promote information mutual communication and resources sharing. [ABSTRACT FROM AUTHOR]

To research the manufacturer entrust the third party to recycle products. This pjaper studied reciprocal preference characteristics between manufacturers and retailers. And it analyzed effect of mutual preference characteristics for profit and u-tility of the closed-loop supply chain members. It also used the Staekelberg game model to analyse the decision of members. Finally, it used numerical simulation to prove it. Research shows that the reciprocal preference behavior between the manufacturer and the retailer is favorable for the profit of closed-loop supply chain,and there is a negative correlation of reciprocal preference behavior of manufacturer to products’ selling price of retailer. And there is a positive correlation of reciprocal preference behavior of manufacturer to the recovery rate of third party. The effect of the retailer’s reciprocal preference on the whole system is not obvious. [ABSTRACT FROM AUTHOR]

Based on the establishment of sequential game model, this paper analyzed the situation of trading technology and service on cloud manufacturing platform, and studied the sharing efficiency and sharing mechanism of cloud manufacturing platform, obtained the equilibrium solution of the model, it carried out the stability analysis, used cases to discuss the optimal pricing strategy of cloud platforms and enterprises under different costs, and compared the difference of technology sharing between cloud manufacturing environment and traditional manufacturing environment. The research shows that the cloud platform can effectively promote technology sharing, but there is also an unfair distribution of income distribution. Therefore, some policy suggestions are put forward for the problem. [ABSTRACT FROM AUTHOR]

Aiming at the problem of the privacy protection in unstructured big data publishing, this paper proposed a privacy protection method based on ImSLD big data publishing. The algorithm used the two-stage conditional random field NER method to represent unstructured data as a structured form, and designed an improved scalable l-diversity algorithm to perform well. It anonymized to structured data protect the privacy of unstructured big data distribution. It implemented the ImSLD algorithm by Apache Pig to make it scalable. Experiments show that compared with MRA and SKA algorithm, the improved ImSLD algorithm provides better information loss than the other two algorithms when providing the same level of privacy on different data sets. [ABSTRACT FROM AUTHOR]

According to the problem of slow license plate detection and low detection accuracy under different conditions, this paper proposed an improved adaptive morphological closed and open operation to improve the license plate detection algorithm. The algorithm first used the local histogram to equalize the license plate image, and used the adaptive morphological closed operation to smooth all grayscale regions, and then introduced the local adaptive threshold processing to get the smooth image and the separated license plate. Finally, it adopted the morphological open operation to separate the connection parts between the external region and the number of the license plates. The experimental results show that the detection accuracy of the proposed method is higher than other algorithms. At the same time, the average detection time is less than other algorithms. The proposed method is suitable for real-time license plate detection under different conditions. [ABSTRACT FROM AUTHOR]

In order to solve the problem of energy efficiency in mobile wireless sensor networks, this paper proposed a mobile wireless sensor network ( WSN) routing protocol based on active region. This method used the relative positions of the source and the sink node to form the active region for routing. The mobile node in the network used a sleep-wakeup pattern to conserve energy. It used the motion vector information, such as current position, direction and speed and the remaining energy of the node to select the neighbors that could provide the maximum connection retention time. It also used the motion vector information to wake up the mobile node in the active area. Experiments show that compared with other routing protocols, this method has higher reliability in packet transmission process. [ABSTRACT FROM AUTHOR]

The existing rumor propagation models can't describe the effect of different nodes on the probability of rumor propagation. Thus, the existing rumor propagation models can' t truly describe the spread of rumors in the real social networks. Thereby, it affects the suppression of rumor propagation in social networks. To solve this problem, this paper studied the rumor propagation probability between different nodes based on the SIR propagation model, and analyzed the impact of different nodes on the propagation probability. It proposed the rumor propagation model that considering the influence of nodes for the social networks. Finally, compared with the commonly used SIR model, the experimental results show that the improved model can quickly suppress the rumor propagation in networks. [ABSTRACT FROM AUTHOR]

To adapt to the rapid development of Internet and implement fast combination of each supply chain node under the environment of cloud manufacturing, this paper combined cloud manufacturing supply chain(CMSC) with the bat algorithm(BA), and established the three-dimensional structure model to select supply chain nodes from the aspect of cloud manufacturing. This paper mainly discussed the multi-objective CMSC selection model, used BA to quantify and solve the model. The methods quickly found the overall optimal CMSC from many kinds of combination and proved BA was effective in the choice of huge amounts of data. The analysis has certain guiding significance to the further development of supply chain under the environment of cloud manufacturing. [ABSTRACT FROM AUTHOR]