Earticle

According to constraint conditions of concurrent open-shop and its description in mathematical language, the integer programming model of this scheduling problem, applied to the IBM ILOG CPLEX OPTIMIZATION mathematical optimization software combined with the five groups of numerical examples verify the correctness of the established model, is set up. Integer programming model can not only use mathematical language to describe the scheduling problem, and if we make a traversal of the whole solution space in established model, then we can get the exact solution of the problem.

Sensor network is an important component of the Internet of Things and sensor network technology is a basic technique of it. Information perception, a main task of sensor network, provides users with valid and valuable statistics by collecting the information of things and screening them in accordance with the needs of the application purposes and processing the information through information fusion technology. The article, makes an analysis of the situation, problems, solving methods and future development of the application of information fusion technology in the wireless sensor network from the perspective of its theory, sorts, levels, fields, difference and safety to lay a good technique foundation of the perfection of sensor network and the further development of the internet of things.

According to the current situation and requirements of Qiqihar protected agriculture, this paper proposes a GIS-based construction scheme of protected agriculture monitoring information system of Qiqihar, which is based on the business requirement of decision-making of Qiqihar Municipal Agricultural Economic Committee, and elaborates the detailed requirement analysis and the system design process. The scheme proposed by this paper can provide services in scientific decision-making, technique and market information for Qiqihar Municipal Agricultural Economic Committee. It can improve the level of management and the ability of decision-making of Qiqihar protected agriculture effectively.

Considering WF-1 model automobile as the research object, establish the geometry entity model of rear stabilizer bar through CATIA software, and use ANSYS software to carry out the mechanic analysis and fatigue lifetime. Then the measures for improving its configuration are put forward as well as some reasonable designs and structural improvements about rear stabilizer bar. Then the rear stabilizer bar can achieve the goals including lightening, miniaturization and durability by optimization design.

During the manufacture of complete denture, the most important step is to design and generate the dental arch curve which adapts to the requirement of patients according to the jaw arch morphology of them. It is important to study the optimization method of the number and position of control point for the dental arch generator. This paper focuses on of the multi-manipulator tooth-arrangement robot. Quantitative model of the dental arch generator is established. On the basis of motion analysis of the dental arch generator, objective function, multivariate design and constraint function of control point optimization of dental arch generator is determined. Control point number of the dental arch generator is optimized. Single point error method of the dental arch generator is presented to realize the control point position optimization of the dental arch generator. Simulation results verify the feasibility of control point optimization method.

Aiming at the problems such as low efficiency of the simulation analysis, difficulty in information reuse between similar structures, an Finite Element Analysis (FEA) process reuse method based on the modular thought is put forward. The reuse process of FEA is described by the methods of module division and reorganization, and the FEA structural information is expressed using Extensive Makeup Language (XML). Macros and macro library technology of ANSYS are used to construct reusable modules. For the achievement of the module reuse in FEA process, the secondary development technology is conducted by combined with VC + + language with APDL parametric language. The approach is plied in nuclear power valve products through building FEA process reuse platform, which increased the efficiency of simulation analysis in valve products development.

With the rapid development of power electronics technology, the applications of inductively coupled power transfer make the wireless power transmission reality. In order to explore the practical application in the field of ICPT, we analysis the core component of a loosely coupled transformer of ICPT and design it. We make a model and simulate the core magnetic field distribution of the loosely coupled transformer with ANSYS and we select the appropriate core structure. We produce loosely coupled transformer through the analysis of loosely coupled transformer performance parameters affecting factors. Research on the basis of loosely coupled transformer, we build ICPT experimental device and we also analysis the transmission efficiency by the gap of the system with actual measurement.

Due to the use of time, machine wear degree, coal and other reasons, the original set parameters of the boiler have been unable to meet the control requirements, therefore using a large amount of data to build a real model of the power station based on the neural network, therefore, to establish a boiler combustion optimization neural network model by using of the power plant operating data. According to the shortcomings on RBF neural networks traditional training methods with slow convergence speed, easy to fall into the local minimum. Firstly, this paper Set the model to single input and single output system as the research object, optimize neural network by the particle swarm optimization algorithm. Finally, this modeling method is expanded to the multiple input multiple output system field. Use MATLAB to establish the simulation model and the simulation research, the simulation results show that improved method for combustion boiler system efficiency has been significantly improved, combustion efficiency of the entire system reached 94%, the accuracy of the system model was significantly better than ordinary neural network, system training error controls in less than 5% .We can see that the improved method is feasible and effective.

The dynamic analysis model establish of Cold Rolling Mill Hydraulic AGC System can fully and easily analyze the various factors of rolling process on the final thickness control and rolled accuracy. The simulation of the hydraulic AGC system can give out the structure and performance of the system, determining a greater impact on system performance parameters for the rolling of new varieties to provide reliable evidence and arguments, while the mill mechanical and hydraulic system fault diagnosis has certain reference value. Adaptive control to improve the process of rolling mill rolls unsteady exit thickness accuracy can play a big role, but due to many reasons, the traditional adaptive control methods in the actual mill is difficult to achieve.

The web service technology allows organizations to interact through business processes. However, organizations involved in cooperative business processes have different interests and points of view. A negotiation allows them to discuss their interests and requirements in order to reach an acceptable agreement. We propose an integrated web service negotiation process that takes into account human interaction and the use of different negotiation protocols. It focuses on the application of feature modelling to describe the negotiated services. Our contributions include: (i) the definition of a negotiation process; (ii) the definition of a conceptual model to support the negotiation of web services; (iii) reuse of artefacts generated throughout the negotiation process; (iv) coverage of critical elements in the negotiation of electronic contracts, such as role, properties of electronic services and contract models; and (v) exploration of the process in different application scenarios.

Web service choreography is a methodology for building value-added applications by aggregating several existing web services together according to business requirements. Web service choreography has been widely explored in the past and various approaches have been proposed. Only a few works have been carried out for verification of composed web services for deterministic system and no work has been carried for non-deterministic system. This paper introduces an approach for verifying the WSC using Revise Buchi Automata (RBA) for non-deterministic system. The correctness properties of the non-deterministic system have been evaluated based on sparseness and reachability problem. Primarily the web services are composed by using Web Service Choreography Description Language (WS-CDL) and then the composed service is translated into RBA. A new algorithm called Revise Buchi Sparseness Reachability (RBSR) has been developed to avoid the Sparseness problem and Reachability problem. A tool (WSCVT) has been developed using jave for verifying the RBSR algorithm. The proposed approach is verified using this tool and the results revealed better performance in terms of avoiding sparseness and reachability problems at 95% compared to the existing approaches.

Human resource management plays a vital role in this competitive world .As everybody wants highly distinguished persons, evaluation of the right staff/employee is very difficult. It is also necessary to choose a better person among the others, where the success of any industry/organization/institution heavily depends. Multi Attribute Decision Making (MADM) methods provide a ranking of the available alternatives thereby, decision of critical thinking become easier. The present paper examines the application of few MADM paradigms for selecting the most suitable academic staff, where seven candidates under seven different sub-criteria are evaluated and prioritized.

The internal subjects of Ecosystem of Cyber-society interact with the external demand, resources and technology constantly by fulfilling their functions, so thus form the cycle development process of Ecosystem of Cyber-society. And the way of interaction between them determines the high-speed and orderliness of the structure and function development of Ecosystem of Cyber-society to a certain extent. So based on the cross-disciplinary analysis and research, this paper uses the hyper cycle theory to analyze the formation and evolution process of the hyper cycle structure of Ecosystem of Cyber-society. The research shows that there are a variety of cycle patterns in Ecosystem of Cyber-society, and these cycle patterns keep pushing forward the development of Ecosystem of Cyber-society under the dynamic action of a number of driving forces.

On the basis of the information dissemination law in Microblog and its network topology, this paper analyzes the characteristics of the user nodes, structure characteristics of the groups, and the dissemination characteristics of the information of Microblog, and then proposes some related countermeasures to control and guide the healthy and rapid information dissemination of Microblog network. The research shows that the Microblog network renders mesh topology with good characteristics of cluster, centrality and similarity. The efficiency of information dissemination in Microblog network is relatively very high and the network is not fragile. Meanwhile, the node's role in the dissemination of information varies greatly, and it is easy to form opinion leader. It has important significance to strengthen the government's authoritative coverage and rapid response capability, make the opinion leaders play an active role in guiding correctly for the information dissemination management in Microblog network.

In the competitive trade world, choosing the best supply chain is a vital problem. One of the most important processes performed in enterprises today is the evaluation, selection and continuous measurement of suppliers. On the other hand, Supplier selection is one of the key issues of Supply Chain Management because the cost of raw materials and component parts constitutes the main cost of a product Management. Moreover finding the best supplier for manufacturing due to preparing raw material is essentially important in much more difficult conditions of competitions. Meanwhile there are different scenarios to supply by suppliers, which can change selection variables like lead-time, transportation cost, transportation path that can affect in supplier selection. In this paper based on OWA operator weights method for supplier selection is introduced.

Shipping and forwarder management platform is not only an important platform for shipping companies to operate business, but also a technical guarantee for service efficiency improvement. In order to solve current realistic problem such as low-efficiency in resource allocation, difficulty in head-office management, and inaccuracy and delay of data sharing, a shipping and forwarder management platform (SFMP) fitting for international container shipping logistical companies based on collaborative management theory is proposed. People collaboration, information collaboration, process collaboration and application collaboration are core of management platform. This paper proposes an effective collaborative management theory for shipping industry and presents how to constructed a comprehensive systematic management platform covering shipping business and forwarder business. Case study has proved that the proposed platform could improve 10%-25% operation efficiency, enhance collaborate level and strengthen shipping companies’ competitiveness in global market

Cloud based development is a challenging task for several software engineering projects, especially for those which need change along with reusability. The present scenario of cloud computing is allowing new professional models to use agile software development. The expected upcoming trend of computing is assumed to be cloud computing as it ensures a lot of payback like no principal outflow, speed of application deployment, shorter time to market, lower cost of operation, and change at any level, reusability and easier maintenance for the tenants. Until Adaptive Cloud Development Model is considered a fundamental capability, predictable demand cannot be delivered to cloud users. This paper extends the traditional agile process model named Adaptive Software Development (ASD) and integrates interaction with the cloud provider to facilitate acceptance of cloud computing. In this paper, Adaptive Cloud Development Model has been proposed. Using the agile based cloud computing proposed approach, development cost can be minimized and customer satisfaction and reusability can be improved.