Advanced Materials Research Vols. 488-489

Abstract: This paper discusses how to address some issues when contemplating the global optimal transportation path (GOTP) such as dynamics, the ability of real-time analysis as well as complexity of prediction. Using shortest path methodology, this paper abstracts the real-life problem to a graphic context. Based on the solution of ant colony optimization (ACO) algorithm, the simulation indicates that this manner is efficient and effective in dealing with these problems. The indicators utilized ACO are achieved through simulation results analysis, providing the range of exact elements.

Abstract: Security of computer information system more and more aroused people’s attention, and information security assessment and computer system security model is closely related to information security model which is patricularly important. This article describes the security model of the characteristics and uses, and several security models are compared, these models were from a different perspective considering system security, through comparison Analysis, Establishment of information security model obtained several important aspects to consider.

Abstract: A new numerical method for the study of elasto-acoustic structures coupled with fluid-filled cavities has been developed. This method essentially consists of solving the eigenvalue problem for the determination of elasto-acoustic modes. The Numerical methods commonly used for its resolution is based on the mass coupling. However, this approach requires for it is resolution the inversion of a singular matrix, "the stiffness matrix of the fluid". We then propose a new numerical method based on stiffness coupling by using modal superposition techniques through a change of variable which shows a symmetric and regular problem in terms of displacement of the elastic structure and in terms of fluid pressure in the cavity.

Abstract: With the continuous progress of science and technology, manufacturing has been a huge space for development. Nowadays numerical control system is widely used in manufacturing. Numerical control system is actually manufacturing control system. By actual information required, with decoded by computer, after information processing It will the process control operations of machine tools to process out the right components. With more complexity of manufacturing, we have higher requirements to pretreatment data of numerical control system. This paper will focus on numerical control algorithm and hardware system to study.

Abstract: This paper deals with the availability analysis for the wind turbines (WT) located in hill and main pass having uncertainty in wind. Availability is a key performance index for WTs. In this paper, the concept of Markov analysis (MA) is used to model the failure characteristics of the WTs for calculating probability and reliability of reaching various system states of WT having the capacities of 225 kW, 250 kW, and 400 kW. Due to uncertainty in the wind, the probability of component failure is independent of the past history. Hence MA is considered as the best mathematical tool for modelling WT with complex system. The field data obtained from the Muppandal site in India such as Mean time between failure (MTBF), Mean time to repair (MTTR), failure rate and repair rate are used to compute the WT availability, using ITEM Toolkit version 8.0.2 as a measure of performance. No attempt is made to analyze the individual state of the WT system. In this paper, for seven critical components, a resultant of 128 states has been analyzed. This analysis yields some surprising results that some WTs are the most unreliable due to the rapid failure of its sub assemblies in view of the very high uncertainty in the wind and frequent grid failures.

Abstract: This paper addresses the problem of scheduling n independent jobs processed nonpreemtively on m identical parallel machines with the objective of minimizing makespan. Since these scheduling problems are well known to be NP-hard, among various solution methodologies, heuristics are preferred most. They guarantee near-optimal solutions and due to their polynomial time algorithms require reasonable computational effort, especially for solving large problem sizes. We consider three popular heuristics, multifit, combine and listfit since the seminal work of McNaughton in 1959. We present different experimental frameworks to investigate these heuristics for a comprehensive comparative performance evaluation. We show, through computational experimentation, that listfit outperforms the multifit and combine heuristics in most of the problem instances, however, at the cost of increased time complexity. The computational results also reveal that the combine heuristic performs better than the multifit heuristic, while requiring almost similar computational effort.

Abstract: Petroleum industry is focusing on high-pressure and high-temperature (HPHT) reservoir. The major problem facing to HPHT reservoir is to generate enough bottomhole pressure without exceeding the limitations of equipment on the ground. In order to overcome these problems, weighted fracturing fluid system has been developed whose density can reach up to 1.50 g/cm3. This paper summarizes a study on formulating sodium bromide and sodium chloride as a combined weighted agent and a delayed crosslinked fracturing fluid system which is to cater the fluid and treatment guidelines for the fracturing application. Extensive studies were also conducted to determine temperature stability and anti-shear properties and gel broken.

Abstract: As the whole world values the energy-saving very highly, a monitoring system, which can monitor the precise heat consumption data and schedule on demand in time, is urgently needed. This paper presents a master station monitoring system of wireless heat automatic reading meter system (named as WiHeat-AMRS). It is mainly used for residential district heat-supply system whose main function is measuring heat, charging for heat, and monitoring the running status of the whole heat system. The master station monitoring system, which was designed and implemented by the author own, consists of two parts: monitoring component and back-end database. The paper focuses on the design of both monitoring component and back-end database structure. The monitoring component collects the data of each heat meter via a wireless gateway, analyzes those data, store in the database, and achieves the automated management of heat system. Meanwhile, the master station monitoring system has been put into service by our cooperative, and has gotten great reviews.

Abstract: With the rapid development of information technology, people’s daily life becomes more and more dependent on it. Yet traditional controlling algorithm is too rough to satisfy the requirement of living convenience. To overcome this shortcoming, the technology of IOT is introduced to the control process of smart home. The structure and working process are described in detail. The intelligent controlling algorithm based on D-S Evidence theory is introduced and the simulation experiment for lighting control is described, the result has perfectly validate the validity of the algorithm described.

Abstract: With the rapid development of information especially internet technology, people have to choose the most suitable goods without any experience, so the recommendation system is seriously required. Yet no research on advertisement recommendation system for movie play is presented. Regarding this problem, the paper introduces the theory of semantic computing and annotates the semantic tags from the movie slices and the candidate advertisements, the potential preferences on them are predicted with neutral network model trained by some data set predefined. The user preference model and the predicting workflow are described in detail. Finally, the MovieLens dataset is employed to validate the validity of the system designed. The results of simulation experiments prove that the technology proposed can not only satisfy the requirement of matched advertisement recommendation but also outperform the traditional collaborative filtering algorithm.