Applied Mechanics and Materials Vols. 427-429

Abstract: Exerting the network's effectiveness, and by use of the tremendous advantages of the Internet of things, this paper puts forward the "Smart Laboratory" system of three-layer structure model, which acts on the management pattern of "integrating teaching and research, crossing subjects, multifunction", and discusses the design on different layers in the model. In the end of paper, the Smart Laboratory operation mechanism and management mechanism is also discussed.

Abstract: Aiming at making the decision about production resource allocation of engineering machinery through the coordination of enterprises, firstly the collaborative group decision-making method of production resource allocation is proposed based on an information entropy model. On the basis of that, a new structure of group decision support system is constructed by Web Services technology. Finally the decision-making system of engineering machinery industry of Hunan province is taken as an example to verify and apply.

Abstract: Online reviews as a new textual domain offer a unique proposition for sentiment analysis. Their short document length suggests any sentiment they contain is compact and explicit. Although supersized methods have obtained good results, a large amount of corpus should be trained beforehand. Recently, topic models have been introduced for the simultaneous analysis for sentiment in the document. However, the LDA model makes the assumption that, given the parameters the words in the document are all independent. It obviously isnt the case. The words in the document express the sentiment of the author. This paper proposes a model to solve the problem. We assume that the sentiments are related to the topic in the documents. A sentiment layer is added to the LDA model to improve it. Experimental result in the dataset demonstrates the advantage of the proposed model.

Abstract: As the emerging date intensive applications have received more and more attentions from researchers, its a severe challenge for near duplicated text detection for large scale data. This paper presents an algorithm based on MapReduce and ontology for near duplicated text detection via computing pair document similarity in large scale document collections. We mapping the words in the document to the synonym and then calculate the similarity between them. MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key /value pairs, and a reduce function that merges all intermediate values associated with the same intermediate key. In large scale test, experimental result demonstrates that this approach outperforms other state of the art solutions. Many advantages such as linear time and accuracy make the algorithm valuable in actual practice.

Abstract: To solve the impact on network performance by the mobile nodes and data transfer rate constantly changing,this paper proposes a improved backoff scheme for IEEE802.15.4, which uses Probability Judgement based on Network Load and Exponentially Weighted Moving Average (PJNL_EWMA). According to a real-time monitoring of current network status by probability judgement of network load , this method dynamically adjust backoff exponent by EWMA when the CSMA/CA begins. Compared the IEEE802.15.4 and MBS+EWMA schemes, the simulation experiments on NS2 platform show that the PJNL_EWMA scheme not only improves the throughput of the network, but also reduces the packet loss rate and the collision ratio,significantly improve the network performance.

Abstract: Cloud storage is a new extension and developed concept on the base of the cloud computing, aiming at providing data storage and transaction access service. On the base of the analysis of the basic concept of cloud storage, make the research and analysis on the safety of cloud storage. For the unauthorized access, data leakage, data access breakdown and other security problems, poses some security policies, including a challenge-response cloud storage identity authentication, encryption storage based on key associated with the username and a fast data recovery service which is parallel with data access. Hope cloud storage can provide a service of confidential, reliable and authentication.

Abstract: This paper presents the data fusion survivability analysis model of wireless sensor network (WSN) based on stochastic Petri net (SPN). First, the definition of data fusion survivability is put forward, and the data fusion model of WSN is constructed. Second, the SPN modeling method of security events, which influences the WSN, is described. Lastly, simulation experiment proves the correctness and effectiveness of the modeling of WSN data fusion survivability analysis based on SPN. This model can provide the theoretical basis and guide for designing a survivable WSN.

Abstract: In order to achieve the vision of sensor web, an oriented sensor web framework based on web services is presented in this paper. It provides a mechanism that varied sensor networks or devices can be connected to the framework. End-users can access sensor networks and integrate the sensor to their special applications through a stack of Internet standard protocols.

Abstract: Large cylindrical shell is typically difficult to machine parts, and the cutting process of the bulky cylindrical shell is complicated. Through the actual requirements and conceptual design, the paper establishes the heavy-duty optimized database system for difficult-to-cut materials in order to improve its surface quality and production efficiency. The system is completed by combining Visual C++ 6.0 and SQL Server 2000.This paper mainly describes the implementation process and related interfaces of the data optimization and heavy inserts design. The data from optimization and tool design function block are validated its reliability by experiments and simulations, which proves that the system can be used for actual production.

Abstract: Integration of CAD and CAPP system is always a difficult problem in the research, the reason is that the information expression is not consistent. As the output of the CAD system, STEP standard can provide a unified interface to the CAPP system information extraction. In this paper, based on STEP neutral file part feature information extraction and recognition technology, the output from the CAD geometry STEP neutral file includes geometric characteristics information and manufacturing information, the STEP information was transformed into a format recognized by CAPP system. Based on the above research, the process design system was developed based on the information extraction and storage of parts of STEP system, and the system feasibility was proved.