bluuebunny/crossref_metadata_2025 huggingface dataset:
Application and Development of MCGS Configuration Software in Wind/Solar Hybrid System
Authors: Cao Dong Mei , Tang Zhao Hui , Li Dong Bo
Published: January 2015

Wind and solar energy are considered as the most representatively new and renewable energy. At present, wind and solar power generation systems is playing unique role in China's solar and wind energy resource-rich region, which arise more requirements to manage and monitor the system. Based on the MCGS (Monitor and Control Generated System) configuration software development platform, the monitoring system of experimental wind/solar hybrid system is designed, including controller driver loading, real-time database establishment, device configuration, animation production and other configuration. The developed software can better monitor and control the experimental wind/solar hybrid system.
Normalized p-Norm Blind Equalization Algorithm with Adaptive Momentum under Impulsive Noise Environment
Authors: Ruan Rui , Xiao Ying
Published: January 2015

Hereby a normalized p-norm blind equalization algorithm with adaptive momentum was proposed. Normalized p-norm LMS-CMA can obtain robust convergence performance under impulsive noise environment, however, the convergence rate is slow. To further improve the performance of the normalized p-norm LMS-CMA, adaptive momentum according to the instantaneous error is designed. If the instantaneous error based on CMA criterion and DD criterion has the same sign, the momentum factor remains unchanged. Otherwise, the momentum factor is set to 0. The simulation results show that, the proposed algorithm has faster convergence rate than the normalized p-norm blind equalization algorithm, furthermore, it has robust convergence performance under impulsive noise environment.
Research on the Ultra-Short-Term Bus Load Forecasting Method Considering Meteorological Mutation
Authors: Niu Dong Xiao , Li Bing Jie , Lu Yan , Chen Zhe , Liu Jian Kun
Published: January 2015

Because small value and rapid changes, bus load is severely affected by meteorological factors. The article focuses on the precipitation, the average pressure, the average wind speed, the average temperature and the average relative humidity, and identifies the meteorological mutations. In the case when there is no mutation, predict the load trends based on the Single Exponential Smoothing method, otherwise, if there exists meteorological mutation, use SVM model to predict the load, as well as in the event of extreme weather conditions, start the emergency warning plan. By the case study of the No.1 main transformer of certain area in Jiangsu Province, the result shows that this method has good prediction results.
Rapid Prototyping Technology in the Three Dimensional Model of Hierarchical Processing
Authors: Li Xiang Ping , Wang Qing Shun , Sun Wei
Published: January 2015

Rapid prototyping technology can generate parts directly from the three-dimensional CAD entity data, hierarchical algorithm is a key link in rapid prototyping manufacture. In this paper, mainly used a hierarchical approach in RP equipment,for the study aimed at three commonly hierarchical algorithm (hierarchical algorithm based on STL model, direct sliced of CAD models, Smart Slice based on STL model) by Perspective, trying to provide a reference for the stratification algorithm of RP system by comparison of the three tiered approach,This paper argues that the Smart slicing algorithm based on STL model is more accurate stratification algorithm
A Method for Predicting Air Traffic Network Flow by Short-Term Probability
Authors: Kong Jin Feng , Wang Yu
Published: January 2015

The main task of air traffic management is making adjustments when traffic flow reaches to the maximum capacity of air traffic control. It aims to increase the use ratio of airport and airspace. Air traffic flow prediction is one important part of air traffic management. Usually, air traffic prediction is divided into deterministic flow prediction and probability prediction .We research on the probability prediction on the basis of deterministic flow prediction. By analyzing aircrafts’ experienced flight time distribution, giving experienced distribution function and computing method. The data analysis shows that the accuracy rate increased by 22%.
A Particle Swarm Optimizer Based Approach for Aircraft Parking Position Assignment
Authors: Ai Di Ming , Jia Yu Fei , Zhao Jun Yan , Kong Ling Jie
Published: January 2015

A aircraft parking position assignment problem is a complex optimization problem with many constrains. In this paper, an assignment model is built with the consideration of constrain treatment. A 2 neighborhood particle swarm optimizer is adopted. The numerical experiment results demonstrate the effectiveness of proposed model and optimization strategy.
An Extraction Method Based on Invariance Geometric Feature
Authors: Gong Rong Fen , Chu Mao Xiang , Yang Yong Hui
Published: January 2015

An extraction method based on invariance geometric feature is proposed in this paper. This method extracts two types of feature from the object in an image. One type is five invariance statistical features of edge distance. The other is two invariance shape features: rectangular similarity feature and circular similarity feature. Moreover, this proposed method is used to extract defect features for steel plate surface. Its performance is tested in scale and rotation invariance and defects classification. Experimental results show that the novel geometric features have the ability of invariance and can improve the accuracy of classification.
Analysis of KATL Operation Simulated by TAAM
Authors: Zhang Xue Hua
Published: January 2015

This objective of this research is to use Jeppesen’s Total Airspace and Airport Modelersimulator of airport and airspace operations (TAAM). TAAM has the capability to create models of airspace and airports, which makes it easy to planning, analysis, and making a decision. TAAM can help researchers evaluating the impact of changes to infrastructure, operations and schedules, after mimicking the airspace or airport into model.The simulation of this paper is going to imitate the operation of KATL in two different layouts with three different flight schedules based on a valid baseline model. In this case, the study is based on VFR operating condition, and operating towards west.
Application of Legendre Polynomial in Predicting Total Energy Consumption
Authors: Zhang Hong Qin , Gao Lai Bin
Published: January 2015

Based on statistical data of National Statistical Bureau of China, and given the least-squares fitting of Legendre polynomial, the data of total energy consumption from 1978 to 2012 is analyzed by least squares method and Legendre polynomial least squares method respectively. The results showed that Legendre polynomial least squares fitting method is excellent and the data of total energy consumption from 2013 to 2016 is predicted by this method.
Calculating the Torques and Meter Factor of Turbine Flow Meter with Numerical Simulation
Authors: Huang Yong Zhang , Sun Ying Tao , Zhang Bao Sheng , Chen Gang , Zhu Bao Li
Published: January 2015

The torque balancing equations and the torque equation of the turbine flow meter is deduced in the paper. The driving torque, the viscous drag torque and the bearing friction drag torque on the impeller is calculated by unsteady numerical simulation methods. The change rule of the various torques is gotten considering or not the influence of bearing drag torque. Also, the effect of different viscosity on the torque is calculated, which is used to explain the phenomenon of meter factor change law with the viscosity. It makes clear that the possibilities to improve the accuracy of the meter and to predicate the meter factor by unsteady numerical simulation.
Collision Simulation to Road Safety Barrel Based on LS-DYNA
Authors: Song Ke , Yang Bang Cheng
Published: January 2015

The finite element method was used to analyze the crash simulation of road safety barrel in this paper. According to the road safety barrel standard of China—GB/T 28650-2012, 3D software AUTOCAD was used to establish collision system model. By using the project software ANSYS/LS-DYNA to simulate the different wall thickness of road safety barrel, the stress and strain, energy variation and deformation are analyzed for different number of road safety barrel, the layer of road safety barrel wall and road safety barrel in different circumstances. The simulation results may uncover the reasonability of the current road safety barrel set and provide the basis for further improvement.
Digital Audio Watermarking Based on QR Decomposition and Dither-Modulation Quantization
Authors: Shi Lei , Yang Bai Long , Wu Peng Hui
Published: January 2015

An audio digital watermarking algorithm based on QR decomposition and dither-modulation quantization is proposed. Arnold transform is utilized to scramble watermarking image in order to improve the security of the algorithm. Then chaotic sequence encrypts the watermarking which was folded before. DCT coefficients of the original audio signal are selected to embed the encrypted watermarking after QR decomposition. Dither-modulation quantization changes the largest R component values of the QR decomposition. Imperceptibility, security and robust test results show that the present method is more robust, and possesses good transparency and high security compared with the scheme based on SVD and dither-modulation quantization.
Logistics Route Optimization Based on Improved Fish Swarm Algorithm
Authors: Xu Feng Kai
Published: January 2015

In order to achieve a low cost and low exhaust pollution in logistics distribution path. In view of the shortages of existing genetic algorithm and ant colony algorithm which have the characteristics of some limitations, such as ant colony algorithm's convergence slow, easy going, the characteristics of such as genetic algorithm premature convergence in the process of path optimization, process complex, the paper proposed the improved artificial fish swarm algorithm in order to solve logistics route optimization problem. At last, through simulation experiment, the improved artificial fish swarm algorithm is proved correct and effective.
Multi-Objective Optimization of Freeway Network Traffic Flow Using Particle Swarm Optimization
Authors: Wen Kai Ge
Published: January 2015

A multi-objective optimization problem of ramp metering and dynamic route guidance is presented. The problem domain, a freeway integration control application considers the efficiency and equity of system, is formulated as a multi-objective optimization problem. The Gini coefficient is adopted in this study as an indicator of equity. The control strategy’s effect is demonstrated through its application to the simple freeway network. Analyses of simulation results using this approach show the equity of the system have a significant improvement over traditional control, especially for the case of large traffic demand. Using the multi-objective optimization approach, the Gini coefficient of the network has been reduced by 55% compared to traditional method.
On Point Estimations of some Uniform Distributions
Authors: Wang Jin Liang , Zhou Ming Fa , Wu Qiong
Published: January 2015

For a population according to a uniform distribution where is known, Thomas Yageen (1996) derived an efficient estimator for . Here for the case when both and 'are unknown, we obtain uniformly minimum variance unbiased (UMVU) estimators for them. Moreover, for a sample drawn without replacement from an integer-valued population which is uniformly distributed on consecutive integers with both and unknown, we obtain a UMVU estimator for and apply it in a number serial analysis problem. Finally, under the criterion of mean squared error, one developed estimator is provided.
Recursive Particle Swarm Optimization Application for the Radial Basis Function Networks Modeling System
Authors: Liu Ling , Chen Min , Guo Hong Yi
Published: January 2015

A Recursive Particle Swarm Optimization (RPSO) is proposed to solve dynamic optimization problems where the data is obtained not once but one by one. The position of each particle swarm is updated recursively based on the continuous data and the historical knowledge. The experiment results indicate that RPSO-based radial basis function networks needs fewer radial basis functions and gives more accurate results than traditional PSO in solving dynamic problems.
Research and Development of Overloading Velocity Jump Line Contact Elastohydrodynamic Lubrication Testbed
Authors: Miao Nai Ming
Published: January 2015

To research the lubricating property of line contact elastohydrodynamic lubrication under the working conditions of overloading velocity jump, based on the optic elastohydrodynamic experimental apparatus developed by the research group, an measuring equipment applicable to the oil film thickness and shape under the condition of overloading velocity jump is designed and developed. This testbed is mainly composed of glass block reciprocating motion system, ball or roller rotary rolling system, loading system, speed regulating system, light source system and image acquisition system. The motion part replaces the slider-crank mechanism with kad-screw mechanism and is driven by stepper motor, so as to realize the different working conditions of velocity jump. The developed platform was adopted to carry out the velocity jump line contact elastohydrodynamic lubrication test by the driving of the stepping motor, investigating the influence of line contact friction pair on the lubricating oil film at the moment of acceleration under the overloading working condition.
Research on Matching Pair Purification Methods of Image Based on SIFT Algorithm
Authors: Li Qiang , Sun Qi Yuan
Published: January 2015

In view of the SIFT algorithm in image matching will produce a lot of mismatches, the paper has applied a method which is based on Hough Transform will remove the SIFT matching error effectively. Firstly, to use the SIFT algorithm finish the image matching roughly. And then, using the Hough Transform to form the equal division hough units. And according to the matching parameter to distribute all the match into the hough units. The match in the units which has least matching-pair will be deleted. Experimental results show that the method can effectively improve the matching accuracy of feature matching and it lays a foundation for the following robot vision navigation.
Research on the Confidence Regression Based on KNN Algorithm
Authors: Jiang Fang Chun , Tian Sheng Feng
Published: January 2015

Confidence regression is a significant research field of confidence machine learning. This paper adopts KNN algorithm as a tool, and performs error evaluation on results of regressive learning to classify the accept field and the refuse field so as to achieve the confidence regression. By setting specific error value, this approach achieves controllable confidence regression, which has been tested on experimental data of bodyfat and other data sets. The experimental results presented show the feasibility of our approach.
Research on the Image Based on the Visual Sensory Apply to the Layout Design
Authors: Gu Guo Lan
Published: January 2015

In the visual background, diversified and personalized art design styles gradually permeate society and people’s habit of receiving information. With the constant improvement of the visual sensory requirements, word is no longer the only dissemination channel and its dominance suffers great influence. Visual communication is the vitality of the layout design. The design form of image application and graphic combination has has influenced social groups’ the habit of receiving information increasingly. A new form makes the pages more unique, full and has a sense of beauty. This paper introduces the way to analyze the relative relationship between the image and layout design in the visual background, whose purpose is to provide a theoretical basis for designers to wake with the reasonable application in the layout design.
Research on Returning Reference Point of CNC Machine with FANUC-31I
Authors: Liu Jiang , Lai Li Xun
Published: January 2015

CNC machine tools tend to build their coordinate systems according to the categories of returning reference points. Due to their detecting structures and principles, four distinct styles of reference point returning come into being, that is, Reference Point Establishment based on Incremental Encoder and Mechanical Block, Datum-point style Returning Reference point, Reference Point Returning with Incremental Encoder and no Mechanical Block, Percussion Reference Point Returning based on Absolute Encoder. In this paper, the author tries to probe into the basic requirement, working process and design requirement of the four styles.
Sleep Sensor Temperature Prediction Based on Neural Network Training Algorithm with Rational Spline Weight Functions
Authors: Zhang Dai Yuan , Zhang Hao
Published: January 2015

In wireless sensor network, it is necessary to make effective prediction of sensor node’s data during its sleep period. In this paper a model of rational cubic spline weight function (SWF) neural network with linear denominator was established for sensor node’s temperature prediction. This kind of rational spline function is denoted by 3/1 rational splines. Then we trained and tested the network, the simulation results showed that, compared to the traditional BP neural network, the training speed is higher and the error is smaller. Therefore the prediction model can effectively predict the sensor’s temperature.
Stereo Matching Algorithm Based on Belief Propagation System
Authors: Pan Si Chen
Published: January 2015

Stereo matching methods are widely used in computer vision and stereo reconstruction, from the perspective of improving the matching accuracy, this paper focuses on the global optimization algorithm. An improved Belief Propagation method is proposed in this paper, by involving more pixels into information transmission, our method improves the accuracy ofstereo matching. The experimental results verify the efficiencyand reliability of our method.
Study of the Cluster Analysis Algorithm for Radio Advertising
Authors: Liu Ji Hong , Fu Yu Tao , Zhang Qi , Geng Yu Ting
Published: January 2015

Some key technologies for clustering the radio advertising are introduced firstly. Then the design and implementation of the system are presented. The system analyzes the cluster characters for radio advertising by principal component analysis. It could be used to capture the radio ads’ time slots. This system shows a way to analyze audio data, and could be used to classify and identify different audio ads. Therefore, it has a wonderful application prospect.
The Feasible Coalitional Structures in the Weighted Cooperative Games
Authors: Chen Shao Bai , Hu Zhao Di , Zhang Man
Published: January 2015

In cooperative games, the formation of coalitional structure and their allocation are important problems. This paper firstly for participants with different position or itself by the relative inseparable coalition composition, put forward weighted cooperative game. The formations of feasible coalition structure are presented. On the basis of the revenues in all feasible coalition structures for every participant, their allocation indexes are determined and based on the allocation indexes, the revenue of the biggest coalitional structure be assigned to each participant. This method's reasonability represents that the participants' allocation indexes are from the competition among individuals and maximizing the overall revenue reflects all participants' cooperation.
The Traffic Accident Scene Drawing System Based on Image Trapezoid Distortion Correction
Authors: Cao Gan , Zhang Chun Yan , Zhang Yu
Published: January 2015

The traffic accident scene drawing system provides a system and method for drawing a traffic accident automatically. With the help of our digital information system, it can create a professional sketch through just a few mouse clicks and can measure the distance of vehicles by some accident images. The apple ios not only inherits the MAC OS X system’s image processing function which realized the image correction and maintained image information better, but also makes the operation control touch screen interface well. The system has realized the collection of photos, graphics, image information processing, setting the scene of the accident report into an organic whole, improving the accuracy of the drawing and the efficiency of the traffic accident treatment.
Two-Tuple Linguistic Information in Group Decision-Making Problem
Authors: Chen Yi Yu , Zhu Xian Chen , Guan Hong Yu
Published: January 2015

In this paper, we study the group decision making (GDM) problem with two-tuple linguistic information .we propose a way to calculate the comprehensive assessment information. Then average preference degree of one alternative over all the other alternatives is calculated. Thus, the ranking of alternatives is obtained by the comparison of linguistic two-tuple information.
Using the Shapley Value to Determine the Expert’s Discourse Right in Group Decision-Making
Authors: Tang Jin , Guo Chun Dong , Gao Yan
Published: January 2015

In terms of different decision-making problem and expert groups, experts’ discourse right is dynamic and relative. Therefore, scientific and rationality of experts empowerment are directly affect final evaluation results. For solving the problem of the objectivity of the evaluation index weight assignment, a method which based on the Shapley value to determine the expert’s weight has been proposed and illustrated in this paper. Firstly, on the basis of analyzing the characteristics of the expert group decision making process, the correlation of experts’ knowledge stock has been defined to represent knowledge spillover among the experts group. Secondly, based on the contribution degree of each expert’s knowledge spillover which has been discussed through correlation analysis, and weight has been allocated to experts. The results show that the method can not only avoid experts empowerment evenly phenomenon, and fully respect the differences of evaluation experts. Finally, the author suggests different types of expert group decisions should be invited to participate in decision-making which helps to give play to brainstorming effect, producing more knowledge spillover and promoting scientific and rationality of decision-making.
Optimization of Tensile Residual Stress on Machined Surface in MQL Turning
Authors: Ji Xia , Shih Alexander H. , Rajora Manik , Shao Ya Min , Liang Steven Y.
Published: January 2015

Producing good surface integrity is one of the main challenges of the machining industry. The increase of the utilization of minimum quantity lubrication (MQL) in order to reduce the amount of lubrication induced a lack of understanding of the physics behind the residual stress generation. Residual stress in the machined surface and subsurface is affected by materials, machining conditions, and tool geometry. These residual stresses could affect the service qualify and component life significantly. Residual stress can be determined by empirical or numerical experiments for selected configurations, even if both are expensive procedures. This paper presents a hybrid neural network that is trained using Simulated Annealing (SA) and Levenberg-Marquardt Algorithm (LM) in order to predict the values of residual stresses in cutting and radial direction after the MQL face turning process accurately. First, SA is used to train the weight and bias values of the ANN after which LM is used to fine tune the values trained by SA. Then, based on the predictions, an optimization procedure, using Genetic Algorithm (GA), is applied in order to find the best cutting conditions. At each generation, GA suggests a population of inputs that are then sent to the trained ANN in order to predict the residual stresses. The objective is to find the optimal inputs that minimize the tensile stress on the machined surface.
Research on the Credibility Evaluation Methods of Combat Simulation
Authors: Tang Jian Bing , Guo Tian Tian , Hu Qi Gao , Zha Ya Bing
Published: January 2015

Credibility is the key performance index and the lifeline for system simulation. Verification, validation and accreditation (VV&A) of all system simulation life can insure the credibility, and credibility evaluation is a very necessary approach to obtain the credibility. Combat simulation is a special simulation for its many characteristics of multi-level, more elements, overall emergence, uncertainty, morbid and multi-granularity model, and so on. Credibility is vital to combat simulation. The evaluation method is one of the aspects of credibility evaluation. In this paper, the methods of credibility evaluation are researched. The common evaluation methods are analyzed and compared. Aiming at the characteristics of combat simulation system, the subjective comprehensive evaluation method based on subject matter expert (SME) is put forward, which is applied to a combat simulation. The practice shows that the subjective comprehensive evaluation method is very effective. The results are sufficiently credible to support the application.
Improvement and Kernelization of T-2DPCA with Application to Face Recognition
Authors: Yang Ben Juan , Liu Ben Yong
Published: January 2015

T-2DPCA, a novel approach considering the third-order tensors as linear operators on the space of oriented matrices, benefits from treating a 2D image as an inherently integrated object, has been proposed recently and showed better performance than traditional matrix PCA in image analysis and recognition. In T-2DPCA, a reconstructing tubal coefficient is obtained from the defined tensor product, called T-product, of a 2D image and a 2D basis element. In this study, by assuming that an eigenvector of the covariance tensor of the 2D training images is the tensor linear combination, called T-linear combination, of the training images, the T-2DPCA is improved to a new version with better performance. The improved method is further extended to a nonlinear version by using the general kernel trick in machine learning field, but with a new inner product called inside product defined with the T-product in the third-order tensor spaces, and simultaneously the general inner product defended in vector spaces. The effectiveness of the proposed algorithms is tested by face recognition experiment results.
Network Status Feedback and Implementation of Mobile Internet Based on Cloud Computing
Authors: Sun Wen Juan , Zhang Yi Wen , Su Qiao Ping
Published: January 2015

This paper introduces a method of network status feedback and realization based on the analysis of big data. Firstly, millions of structured log of session related were converged to HDFS via Flume System. And then the data of session setup time and session success rate were acquired by Hive or Pig. The function of the two variables has been given by MATLAB. Finally, this function has been integrated in the bottom SDK. It can reflect the state of the network accurately, thus eliminating the anxiety state of users. It can well ease the tense mood of users who are waiting for the results coming from server. Obviously, this approach can improve the user experience.
Research of the Network Routing Optimization Based on AODV
Authors: Zong Zhong
Published: January 2015

In the protocol of Ad Hoc network, the AODV routing protocol is the on-demand distance vector routing protocol. Because of its low cost and simple realizing, it is the hot point of wireless ad hoc network researches. This paper researches the mechanism of the AODV routing protocol, analyses its limitations and proposes a pre-judgment based on the link quality. It avoids using the local path restoration algorithm AODV-LQP in unstable area. Before the break of the low quality link, starting the link reparation will avoid the restoration in data transportation. The simulation experiment shows that the improved algorithm reduces the average time delay of end to end, and augments the packet delivery ratio.
Study on Mechanical Processing Workshop Production Information and Management System
Authors: Xia Jian Sheng
Published: January 2015

Based on management theory of the manufacture and execution system (MES), a method of mechanical processing workshop production schedule management was discussed. The concrete planning was realized to manage the workshop production schedule by using the bar code technology. The system can increase product assembly query sub module, query information of one or more parts missing in equipment product.
The Construction of the Knowledge Management System in the Cloud Computing Environment
Authors: Li Ming , Yuan Meng Yue , Xu Ying Cheng
Published: January 2015

In order to make the implementation of the KMS more easily and handle the knowledge more efficiently, we propose the KMS in the cloud computing environment. Firstly, we proposed the document, where the explicate knowledge exists in, processing method based on the Map reduce. Then the explicate knowledge can be processed parallel and faster. Afterwards we give the architecture of the KBS in the environments. The organization can rent the different kinds of services according to their requirements. Since the infrastructure is provided by the cloud computing providers, the organization can focus more on the functions of the KMS. It makes the implementation of the KMS more easily with lower costs.
The Demand Analysis and Overall Design of Outpatient Registration Platform Based on Information Processing Technology
Authors: Lin Ru Dan , Chen Lan Zhen , Lin Zhi Qiu
Published: January 2015

This paper carried out demand analysis and overall design of the outpatient registration platform of the HIS system, mainly introduced the functions of the platform, divided the module of outpatient registration platform , designed the overall structure and main functions of the platform .
The Multi-Server Load Balancing Systems Research in Large-Website Construction
Authors: Yao Ming Hai , Wang Na , Li Jin Shan
Published: January 2015

The load balancing method based on the Linux server cluster is proposed in large-website construction. The load balancing of server cluster is achieved by SSH framework, Oracle database and Ajax technologies. The load balancing of server cluster method can’t only improve performance, scalability, availability of system and reduce the execution time of multi-tasking but also eliminates network bottlenecks and improve the flexibility and reliability of the network. In order to verify the validity of the algorithm, large number of experimental data is used in the experiment. We propose a method of load balancing algorithm is compared with the traditional non-load-balancing algorithm for CPU utilization and system response time in the experiments. The experimental results show that the load balancing technology can reduce system response time and CPU utilization of server.
The Establishment of Information Management Security under Cloud Computing Environment
Authors: Li Tao
Published: January 2015

Cloud computing is Internet-based computing model which can share new information resources through virtualization, it can be dynamically according to the user needs to provide computing, storage, network bandwidth, software and other resources and it has great market potential and become the focus of the current IT giants construction of the project. However, just as other new things, there are flaws and loopholes need to continuously improve and enhance the development process in the future of cloud computing. In this paper, the development process of computing services of cloud security incidents is discussed and we analyzes the potential security risks of cloud computing services, security building and then put forward the ideas of security management development under cloud computing environment.
A Film Retrieval Method Based on Ontology
Authors: Zhang Chi , Li Ying , Zhang Peng Zhou
Published: January 2015

We propose a film retrieval method based on ontology. This method can realize automatically recommendation when users query film resources, even though not giving search keywords explicitly. In this paper, we represent the film retrieval method and film ontology model. And then we define several inference rules and give an example to illustrate the reasoning process. Furthermore, it is discussed how to recommend related films. The film retrieval method based on ontology can do benefit to search film resources intelligently and easily.
A Storage Model of Equipment Data Based on HBase
Authors: Rao Lei , Yang Fan De , Li Xin Ming , Liu Dong
Published: January 2015

Data management has experienced three stages: labor management, file systems, and database systems. In this paper, manage equipment data using a combination of HDFS file system and HBase database: the principles of HBase data management is studied; equipment data’s reading and writing processes is established; data model of equipment database is designed based on HBase.
An Algorithm to Improve MAODV Multicast Routing in MANET
Authors: Li Yue , Yang Shu Chen , Liu Yin Hui , Luo Zhong Bao
Published: January 2015

By studying multicast routing algorithm for MANET, this paper proposes a new heuristic algorithm to improve MAODV performance. Algorithm calculate the cost function under the delay constraint conditions, dynamically adjust the leader node, thus reducing crowded areas produce, for MAODV provide Qos. Simulation results show that when the expansion of the network, this algorithm has less routing overhead, high efficiency.
Research on Technology of Energy Consumption Optimization in Cloud Computing Platform
Authors: Hao Liang , Cui Gang , Qu Ming Cheng , Ke Wen De
Published: January 2015

With the shortage of energy and global climate warming, as well as the low-carbon economy and green computing coming, the energy consumption of cloud computing has become a critical issue, and even the economic benefits of cloud computing has been widely discussion. In view of the phenomenon of energy is wasted seriously in cloud computing, the energy optimization techniques in cloud computing platform have been studied and summarized in this paper. The concept, characteristics and development of cloud computing are introduced firstly. And then the existing energy consumption optimization approaches of cloud computing are studied deeply. The opening and closing techniques, dynamic voltage adjustment technology, virtual energy-saving technology and resource scheduling optimization technology are studied deeply. Finally, the contents are summarized and the future is looked forward.
Study on Trust Model of Internetware System
Authors: He Tao , Wei Yong , Li Hua Zhong , Fang Li Na , Xu Shou Xiang , Zhang De Fen , Liu Jun Qiang
Published: January 2015

We take the overall architecture of internetware on-line evolution model as basic, and study on trust metric model of the software in internetware system. In view of the not accurate results from the rough and existing trust metric model granularity, this paper proposed a multi service and hierarchical dynamic trust metric model based on time frame. Model also offer a method to established time frame weighted factor based on inducing ordered weighted operator, which makes the trust measurement results more accurate. The trust measurement results obtained from the model will be used as decision-making basis for Bias game model.
Identifying Large Flows Based on SDBF Algorithm in High Speed Network Measurement
Authors: Bai Lei , Chen Chao
Published: January 2015

It is very important in developing effective and efficient traffic engineering schemes for identifying large flows. In this paper, according to the characteristic of network flows, a new algorithm which combined by scalable bloom filter and dynamic bloom filter is proposed to realize elephant flows identification. This method can improve the performance of network measurement and the efficiency of the resource usage of measurement system by handling flows with different strategy according to its different feature. The theoretical analysis and the simulation result indicate that under the condition of existing some tolerable measurement error about the length of flows, our algorithm can identify elephant flows accurately, which reduce the storage space and improve the processing speed efficiently.
Design of Music Player Based on Android Platform
Authors: Wu Xu Dong
Published: January 2015

With the development of communications equipment network and computer science, new generation of mobile end-user has higher requirements for the functionality and performance of mobile devices. Because Android intelligent platform occupies the first place in market share with its inherent advantages, the design of music player based on Android platform has a great significance. Firstly, This paper studies the Android platform architecture theory, fully understands the theoretical basis of the Android platform, the platform's technical framework and advantages; secondly, describes the system structural design of the music player; finally, based on the structural design describes the detailed design for music player, including design principles and implemented functions. The design of music player based on Android platform makes the mobile devices more lively and flexible, and makes people's lives more diverse.
The Innovative Product Design with Combining Engineering Science and "UCD"
Authors: Wang Shi Gang , Liu Ze Xing , Gao Xue Shan
Published: January 2015

This article propose a new design pattern with combining engineering science and "user-centered design". For the purpose of finding a new pattern to design a new product to meet the user needs, and to adapt the update rate of products under large industrial environments. This article through summarize and analyze the shortcoming of “user-centered” design pattern, and point out the significance of engineering science in product design. Finally the new pattern with combining engineering science and “user-centered design” has been proposed. Using this pattern to redesign the traditional pump, the result show that the new pump is efficient and fit for using than before, so the new design pattern could make sure the products meet the user needs and adapt the update rate of products.
Chemical Composition and Antimicrobial Activity of Marsdenia Koi Tsiang Essential Oil
Authors: Min Yong , Wang Ze Feng , Fang Ai Ping , Zhang Li , Xu Chun
Published: January 2015

The present study is the first investigation of the chemical composition and antimicrobial activitys of Marsdenia koi Tsiang essential oils. A total of forty-five compounds were identified, representing about 94.9% of the studied oil.The essential oil exhibited antibacterial activity against B.subtilis, S.aureus and S. albus with the MIC values of 50 μg/ml, 100μg/ml and 100μg/ml respectively.
Controlled Rolling and Cooling Process of Spring Steel 65Mn
Authors: Wang Bing , Liu Dong Dong , Dong Zhong Qi , Song Yang , Meng Yan Jun
Published: January 2015

The mechanical properties and aging of 65Mn were investigated with the controlled rolling and cooling process of spring steel. The parameter of rolling technology was determined.
Effect of Different Annealing Process for Microstructure and Properties of 1200MPa HSLA Steel
Authors: Pei Yu , Gao Zhe , Liu Yi , Zhao Shi Qian , Xu Chang Yu , Li Xing Liang , Hou Xiao Tong
Published: January 2015

For C-Si-Mn low carbon HSLA(High Strength Low Alloyed) steel, the influence of microstructure and properties were researched on the different annealing processes. The result showed that the microstructure at room temperature of the steel were polygonal ferrite, island martensite and punctate bainite. With the increase of the annealing temperature, the content of martensite and bainiteincreased and the content of ferrite decreased. Accordingly, tensile strengthincreased from 1069MPa to 1498MPa, and the elongation decreased from 13.8% to 5.1%. With the increase of the overaging temperature, tensile strength decreased from 1315MPa to 1152MPa, and the elongationincreased from8.5% to9.8%. Finally, the optimum annealing process obtained that the annealing temperature was 820°C for 80s, slow cooling to 680°C, water quenching to room temperature, the overaging temperature was 280°C for 300s and air cooling to room temperature. The material obtained higher tensile strength and better elongation.
Calculation Model of Torpedo Ladle Number
Authors: Huang Bang Fu , Zhou Xiao Lei , Zhang Gui Fang , Shi Zhe
Published: January 2015

In order to predict scientific and reasonable torpedo ladle number and optimize torpedo ladle scheduling, this article analyzed operation process and turnover cycle of torpedo ladle in K steel plant as the research object. The relationship between blast furnace supply and continuous caster demand is analyzed. Based on relationship between supply and demand, the calculation model of torpedo ladle number is put forward under the conditions of blast furnace supply greater than, less than, and equal to the continuous caster demand. The control model can calculate the number of normal ladle and saving ladle and casting ladle. Satisfactory effects are obtained after applying the calculation model in production. The torpedo ladle number of different relationships between supply and demand can decrease. The research results supplies new methods for optimization and control of ironmaking and steelmaking interface system. The research methods enrich the theory of integration and optimization of metallurgy process system.
Experimental Research on the Treatment of Printing and Dyeing Wastewater Using Ultrasound Combined with Fenton Reagent
Authors: Wang Ying Gang , Lin Lin , Liu Teng Fei , Zhang Jin Meng
Published: January 2015

Experimental research on the treatment of printing and dyeing wastewater has been carried out. The method of ultrasonic combined Fenton has been used.Separately by using ultrasonic and Fenton oxidation method to treat printing and dyeing wastewater, the hydrogen peroxide dosage, FeSO4•7H2O dosage, shaking time, pH value, ultrasonic time, ultrasonic power and other factors are investigated.The COD and chromaticity removal effect of printing and dyeing wastewater are calculated. The experimental results show that the above factors have a certain impact on the treatment effect. Based on these results, the orthogonal test method is used in this experiment, the optimal conditions of ultrasound combined with Fenton reagent for dealing printing and dyeing wastewater has been determined.The orthogonal experimental results show that the optimal reaction conditions of orthogonal test are below:pH value is 3, the best time for the experiment is 1.5h, hydrogen peroxide dosage is 5mL, seven water ferrous sulfate dosage is 0.7grams, ultrasonic power is 142.5W. Experiments are conducted in accordance with the best reaction conditions. On the optimal process conditions, the removal rate of COD reaches 94.6% and the chroma removal rate reaches 87.5%. The effect of using ultrasonic combined with Fenton reagent to treat printing and dyeing wastewater is better than the use of single method.
Innovative Uses of Materials for a Nasogastric Tube Stabiliser Incorporating the TRIZ Method
Authors: Lin Shih Han , Wang Che Chung , Lin Tom M.Y.
Published: January 2015

Nasogastric tubes are a widely used and vital piece of medical equipment for providing daily nutrition to patients, particularly in cases involving elderly patients or those with chronic diseases. However, current methods for stabilising nasogastric tubes are inadequate. Therefore, in this study, we employed a questionnaire survey to analyse the opinions and needs of medical staff. Subsequently, we incorporated these opinions with the innovation principles of the teoriya resheniya izobretatelskikh zadatch (meaning “the theory of inventive problem solving”) to develop a novel type of nasogastric tube stabiliser.
Modeling and Simulation for Trajectory of TV-Guided Projectile
Authors: Hou Ming , Han Qiang , Wang Han Chang , Bi Si Min
Published: January 2015

Through the analysis of the role of the force and moment on TV-guided projectile, the rigid body trajectory model of the projectile is established, and the simulation program of trajectory is developed based on MATLAB. The simulation results are basically consistent with the experimental results, so the trajectory model can reflect the characteristics of the TV-guided projectile. The characteristics of trajectory, velocity, trajectory tilt angle and attack angle are analyzed by simulations that can provide theoretical basis for improving correction precision.
Photocatalytic Degradation of Methyl Orange by TiO2/Schorl Photocatalyst: Affecting Parameters
Authors: Xu Huan Yan , Li Xue , Li Yan , Li Ping , Liu Wei Chao
Published: January 2015

In situ growth of TiO2 nanocrystals on the surface of schorl was realized via Sol-Gel method in this work. The obtained TiO2/schorl composite photocatalysts were characterized by X-ray diffraction (XRD) and scanning electron microscopy (SEM). An active dye, Methyl Orange (MO), was used to evaluate the photocatalytic activity of TiO2/schorl composite photocatalyst. The effect of sintering temperature and time on the photocatalytic activity of TiO2/schorl was emphasized in this work. XRD results indicated that TiO2 existed in the form of anatase only when the temperature was less than 550°C, and the sintering time was less than 2.5h. Higher sintering temperature and longer sintering time could impel the appearance of rutile phase. SEM observations revealed that the nanosized particles of TiO2 were well dispersed and immobilized on the surface of schorl. The optimum preparation conditions of TiO2/schorl composite with best photocatalytic activity were that sintering temperature was 550°C and sintering time was 2.5h.
Preparation and Application of a Novel Formaldehyde-Free Fixing Agent
Authors: Liu Jian Ping
Published: January 2015

Using diallylamine , hydrochloric and dimethyl diallyl ammonium chloride as reactants, ammonium persulfate / sodium sulfite as initiation system,binary polymer was prepared in water phase.The binary polymer was applied to cotton of reactive dyeing as a fixing agent,propreities of fixing fabric were tested.The results showed that the optimum synthesis conditions were as follows: 50 g of diallylamine, 600 g of 40% dimethyl diallyl ammonium chloride,6 g of ammonium persulfate, dropping of initiation at 80°C for 3 h.The reactive dyeings after binary polymer treatment had fairly good color fastness with 4-5 grade to dry rubbing,4 grade to wet rubbing, color fastness with good to soaking and formaldehyde-free.
Study on Surface Modification Coating on High-Purity Mg
Authors: Zhang Yong Jun , Zhao Cui Ling , Tao Sheng , Jia Shu Gong , Liu Zheng Chun
Published: January 2015

Microarc oxidation (MAO) surface modification course on high-purity Mg at constant DC and the resultant ceramic coatings were investigated. MAO was the course in which the pre-existing film/coating was modified or substituted and strengthened repeatedly. SEM disclosed the inhomogeneous formation rate of ceramic coating in different micro-regions at anode surface during MAO. Three-stage behavior of MAO including pre-microarc discharge stage, transitional stage and then further modifying stage was put forward. The latter two stages proceeded under continuous discharge conditions, accompanied by intensive evolution of gas. EDS analyses indicated that the resultants of MAO consisted mainly of Mg, O and Si elements. XRD analyses revealed the dependence of phase composition on treatment time and coating layer depth.
Study on Tsui's-MCB Method of Analysis and Comparison about Different Materials
Authors: Guo Hong Na , Zhu Jun Ming
Published: January 2015

In the enterprise, the comparison of methods about different materials, such as differences of level, quality and properties are complex and difficult to apply in practice. Tsui's-MCB comparison method is multiple comparison method of ANOVA. It is usually used in the subsequent process of variance analysis, precisely analysis for difference between average value of factors.