bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of Sewage Sludge Anaerobic Digestion Performance Using Peracetic Acid as a Pretreatment
Authors: Wei Na
Published: July 2014

Sewage sludge is difficult to degrade in anaerobic digestion systems and pretreatments have been shown to speed up the hydrolysis stage. In this paper sludge anaerobic digestion experiments with peracetic acid as a pretreatment were carried out and the effects of acid pretreatment using peracetic acid on subsequent digestion were investigated. It has been proved that this treatment effectively leads to a solubilisation of organic material and thus leads to a increase of soluble chemical oxygen demand (SCOD) and volatile fatty acids (VFA) concentration. Besides, the SV of sludge was reduced and the settling characteristics of sludge were improved. But high dosage of peracetic acid lead to a decrease in biogas production and the proper dosage was 20 g/kg DS. It can be concluded that sludge anaerobic digestion with peracetic acid pretreatment is an effective method for biomass material transformation.
Concentration and Distribution of Cr, Pb and Zn in the Jurassic Coals from Northern Shaanxi and Ningxia, China
Authors: Wang Hua , Du Mei Li , Zhang Guo Tao
Published: July 2014

The concentration and distribution of Cr, Pb and Zn in 22 Jurassic coals from northern Shaanxi,and Ningxi, China were studied. The samples were collected from eight coal mines of five different region, including Yuyang Region, Hengshan, Shenmu, Huangling and Lingwu. Comparing with Chinese coals, American coals and coal Clarke value: Pb showed different degree enrichment in the study region except Ningxia ; Cr was enriched in Shenmu coals, Huangling coals and Hengshan coals; whereas the content of Zn in the study region coals was lower than in American coals. Horizontal variation of the three elements in the study region indicated that different elements showed different variation trend. Based on statistical analyses, Pb showed a moderate relationship with ash yield, whereas Cr had a high correlation coefficients with total sulfur.
An Optimal Algorithm for Estimating Fundamental Matrix by Removing the Outliers
Authors: Guo Li Qian , Liao Jun Bi , Zhong Fang Ping , Yu Xiang , Tao Jun
Published: July 2014

The accurate estimation of the fundamental matrix is one of the most important steps in many computer vision applications such as 3D reconstruction, camera self-calibration, motion estimation and stereo matching. In this paper, an optimal fundamental matrix estimation method based on removing exceptional match points is proposed. Firstly, the initial mismatch is reduced by the bidirectional SIFT feature matching algorithm. Secondly, the partial concentration problem of random samples is solved by the bucket segmentation method. In order to obtain robustness, the fundamental matrix is estimated in a RANSAC framework according to the principle of minimizing the geometric distance. Finally, the iterate process improves the accuracy of the fundamental matrix by using the LM algorithm. Experimental results show that the proposed method can reduce the outlier’s interference better and improve the estimation precision of the fundamental matrix.
Complex Network Optimization Research of Personalization-Based Recommendation Algorithm
Authors: Gao Cai Xia , Qi Chang Ping
Published: July 2014

Application value of a variety of complex network makes it become an important scientific research challenges. Therefore, in order to more thoroughly understand the network of human life, we need to further study the properties of the complex network. Complex network search theory solves many practical problems, including the search of relationship between any two people in a social network chain.
Study on Application of Vendor Managed Inventory Model
Authors: Han Qing Tian
Published: July 2014

Firstly, the inventory models were analyzed, and the symbol and assumptions were given out. Then the models of the distribution centre and supplier were studied. Finally, a numeric example was given out by applying the models. The results show that the models are easily to be carried out in engineering field, and it is useful to control the inventory and raise the store efficiency.
Research on Material Inventory Model and Application
Authors: Han Qing Tian
Published: July 2014

Firstly, the inventory model was analyzed under some assumptions. Secondly, based on the consumption of some rubber product, the demand and inventory models were established. Finally, an actual example was carried out by using the inventory model. The result shows the applicable of the model in engineering.
An OCL-Based Formal Model for Cloud Forensics
Authors: Wang Jian , Tang Zhen Min , Jin Xian Li
Published: July 2014

Cloud Computing is gaining acceptance and increasing in popularity. However, digital forensics within Cloud becomes difficult. This paper proposes an extensible semantic model using OCL (Object Constraint Language) for cloud digital forensics data. We give a brief introduction to Trusted Digital Forensics, and then detail the modeling process using OCL and FODA (Feature Oriented Domain Analysis). Therefore, a feature tree can be built with semantic logical relation in order to get the overall semantic description of features in the forensic domain of digital data.
Site Selection of Customer Operation Center for Pull and Drag Transportation Based on the Analytic Hierarchy Process
Authors: Luo Xiao Qiong , Yin Xiao Yong
Published: July 2014

Pull and drag transportation is an advanced transportation organization ,it is lower transport costs, higher efficiency, better energy saving. Customer operation center is important nodes in the pull and drag transportation routes, related to the overall layout of the transportation network and the overall effectiveness. Using AHP in this article, take full account to needs of pull and drag transportation , and analysis the main influencing factors about customer operation center location from the perspective of society and the business. Established model, obtains the importance weight of the influence factors, and provide the basis for evaluation. This method makes the selection process efficient, reasonable, and has a certain practicality.
Corrosion Inhibitor Polymer Modified with Acid Activated Attapulgite: Preparation and Performance of Dispersing Ferric Oxide
Authors: Xu Ji Cheng , Rong Xin Shan , Guo Xiao Rui , Qiu Feng Xian
Published: July 2014

The corrosion inhibitor modified with acid activated attapulgite (CIATP) was prepared with acid activated attapulgite (HATP), styrene sulfonic sodium (SSS), maleic anhydride (MA) as monomers, water as solvent and ammonium persulfate as initiator. The effects of mass ratio of monomer, reaction temperature, the content of initiator and reaction time of preparing CIATP were investigated. The influences of the prepared CIATP concentration, time, pH and temperature of the system on the dispersing ferric oxide efficiency were also investigated. The obtained results showed that the prepared CIATP had excellent efficiency of dispersing ferric oxide, and nearly 98.98 % of dispersing ferric oxide efficiency was obtained. The experimental results indicate the corrosion inhibitor CIATP could be used in the corrosion inhibitor of high temperature water.
Online Long-Term Object Tracking Based on Compressed Haar-Like Features via Sparse Representation
Authors: Zhao Ming , Wang Lu Ping , Zhang Lu Ping
Published: July 2014

Online long-term tracking is a challenging problem as data streams change over time. In this paper, sparse representation has been applied to visual tracking by finding the most correct sample with minimal reconstruction error using compressed Haar-like features. However, most sparse representation tracking algorithm introduce l1 regularization into the PCA reconstruction using samples directly, which leads to complexity computation and can not adapt to occlusion, rotation and change in size. Our model updating not only uses the samples from the training set, but also generates the warped versions (include scale variation, rotation, occlusion and illumination changes) for the previous tracking result. Also, we do not use the samples in models for sparse representation directly, but the Haar-like features instead which are compressed in a very low-dimensional space. In addition, we use a robust and fast algorithm which exploits the spatio-temporal context for predicting the target location in the next frame. This step will lead to the reduction of the searching range by the detector. We demonstrate the proposed method is able to track objects well under pose and scale variation, rotation, occlusion and illumination with great real-time performance on challenging image sequences.
Niche Brain Storm Optimization Algorithm for Multi-Peak Function Optimization
Authors: Zhou Heng Jun , Jiang Ming Yan , Ben Xian Ye
Published: July 2014

Brain Storm Optimization (BSO) is a novel proposed swarm intelligence optimization algorithm which has a fast convergent speed. However, it is easy to trap into local optimal. In this paper, a new model based on niche technology, which is named Niche Brain Storm Optimization (NBSO), is proposed to overcome the shortcoming of BSO. Niche technology effectively prevents premature and maintains population diversity during the evolution process. NBSO shows excellent performance in searching global value and finding multiple global and local optimal solutions for the multi-peak problems. Several benchmark functions are introduced to evaluate its performance. Experimental results show that NBSO performs better than BSO in global searching ability and faster than Niche Genetic Algorithm (NGA) in finding peaks for multi-peak function.
Research on the Validation Method of Product Data Quality
Authors: Wang Ping , Wang Bin
Published: July 2014

Product data is the source data of product lifecycle in manufacturing enterprise. The quality of product data largely determines the effect of the application of Engineering analysis, simulation assembly and CNC programming work and so on. In order to solve the problems of the existing product data quality, such as validation custom trival, lack of high efficiency and flexibility, etc. The validation method of product data quality (PDQ) based on class was proposed in NX software environment, the representation of validation rules classes of product data quality, validation rules customization and implementation of validation process were introduced in detail in this study. Finally, an application case was employed to verify the practicability and effectiveness of the proposed method.
Research on Sub-Band Synthesis Algorithm of MIMO-SAR
Authors: Xie Yan An , Tan Zi Miao
Published: July 2014

Multiple-Input and Multiple-Output Synthetic Aperture Radar (MIMO-SAR) can achieve high resolution and wide swath at the same time, which has a wide horizon of development in the future. An azimuth frequency-diversity MIMO-SAR is presented, and overlapped effective phase center sampling is obtained while the pulse repetition frequency (PRF) is appropriate. This paper derives an improved sub-band synthesis algorithm which reduces the complexity of conventional sub-band synthesis algorithms and improves the range resolution. The feasibility of this imaging algorithm is proved by point target simulation experiments.
Meta-Analysis and Evaluation of Visualization Support to Decision Trees Classification
Authors: Chen Zu Yi , Zhao Tai Xiang
Published: July 2014

In the social sciences, meta-analysis has been used on a limited scale only, mainly because there still remains a gap between the knowledge available and itsapplication in policymaking. The experimental results suggested that, compared to the automatic modeling process as typically applied in current decision tree modeling tools, interactive visual decision tree (IVDT) process can improve the effectiveness of modeling in terms of producing trees with relatively high classification accuracies and small sizes, enhance users’ understanding of the algorithm, and give them greater satisfaction with the task.
The Improved Algorithm about Binocular Vision of Flexible Structure in On-Orbit Modal Identification
Authors: Zhao Yang , Gao Jing Bo , Xu Chang , Zhang Chun Fang
Published: July 2014

The modal of large flexible structure with low and close modes hardly computes accurate data in the ground. While binocular stereo vision is valued for non-contact measurement, greater flexibility and higher precision in on-orbit identification method. This paper optimized the binocular vision algorithm. The difference between original and new algorithm, which includes the aiming-point number, the identification time and the memory number was shown. The conclusion manifests that new algorithm can improve the identification accuracy and speed up the identification and provide support for on-orbit modal identification.
A Fast Algorithm for Computing the Determinants of the Heptadiagonal Matrices
Authors: Li Xin , Yang Liu
Published: July 2014

The cost of all existing algorithm for evaluating th order determinants is at most . This paper presents a new efficient computational algorithm for solving the determinants of the heptadiagonal matrices with cost only. It is a generalization of the DETGTRI algorithm. The implementation of this algorithm using computer algebra system is straightforward. Numerical examples are given to demonstrate the result.
Synthesis Alloy and Composite Materials of Nano-Silver-Nickel
Authors: Cui Wen Jing , Wang Lin , Fu Jing Wen , Zhao Dong Yu
Published: July 2014

In this research, Silver—nickel alloy nanocomposites has been synthesized by reducing mixture solution of Ni2+, Ag+ with hydrazine hydrate as reducer and OP-10 as surfactant. Silver—nickel alloy nanocomposites were characterized by FT-IR, XRD, SEM. And the electrochemical properties of the samples were studied by cyclic voltammetry. Ag-Ni/PANI composites were prepared by in-situ synthesis and emulsion polymerization, and the effect of conduction on the conductivity was investigated including content of alloy. The detailed analysis of the synthesis conditions shows that the reduction takes place in alkaline environment and low-temperature is propitious to generate alloy solid-solution grain. Composites prepared by emulsion polymerization in acidic aqueous solutions synthesis of polyaniline shows higher conductivity than pure polymer, due to the strong interaction between alloy particles and doping PANI.
Prediction of Mine Inrush Water Based on BP Neural Network Method
Authors: Shao Ai Jun , Meng Qing Xin , Wang Shi Wen , Liu Ying
Published: July 2014

Based on predictions of the mine inflow of water and the complexity of influential factors, a method of BP neural network is put forward for mine inrush water prediction in this paper. We chose proper impact factors and establish non-linear artificial neural network prediction model after analyzed the impact factors of mine water inflow in Shandong Heiwang iron, and also made one prediction with normal mine water inflow during the iron mining operation. It turned out that the result can match with the actual prediction data, which make it possible to predict the mine water inflow with the prediction of Artificial Neural Network.
Point Rupture Solutions of a Singular Quasilinear Elliptic Equation Arise from Non-Newtonian Fluids
Authors: Cui Zhou Jin , Xu Ming Yang , Zhang Rui
Published: July 2014

We consider the quasilinear elliptic equation in a finite ball in , where Motivated by the thin film equations, a solution is said to be a point rupture solution if for some , and for any . Our main result is a sufficient condition on for the existence of radial point rupture solutions.
Application of Ant Colony Algorithm to the Hierarchical Routing in Wireless Sensor Networks
Authors: Sang Lei , Long Duo
Published: July 2014

Wireless sensor networks (WSN) have become a hot research topic in the field of computer science. Since WSNs are characterized by limited node energy, dynamic topological structure and data fusion, the design of WSN routing protocols is faced with new problems and challenges. In recent years, many new routing algorithms for wireless sensor networks have appeared, but they all have some shortcomings. This paper studies and analyzes these routing protocols, and in view of their shortcomings, proposes a WSN hierarchical routing protocol based on ant colony algorithm. And a simulation test is conducted on this improved routing protocol, and the simulation result proves that this algorithm basically achieves the design objectives of WSN routing algorithms.
An Improved Algorithm for Multi-Tag Anti-Collision in RFID System
Authors: Zhao Yan Ru , Miao Wei Li
Published: July 2014

With the development of Radio Frequency Identification (RFID) technology, it also exposed some problems in practical applications. Especially in multi-tag anti-collision problem, how to quickly identify multiple tags in the scope of the reader has become the key to solve the problem. On the basis of the Binary Search Algorithm (BSA) and Dynamic Binary Search Algorithm (DBSA), the paper proposed an Improved Dynamic Binary Search Algorithm. The simulation result proves that the improved method in multi-tag anti-collision is more efficiency than the previous two, which is a good solution to the shortcomings of the first two algorithms.
Process Mining: Overview and Comparative Analysis of the Mining Algorithms
Authors: Li Hong , Wei Yu , Liu Lin , Yao Shao Wen , Yang Jun
Published: July 2014

Process mining is helpful for deploying new business processes as well as auditing, analyzing and improving the already enacted ones. This paper summarizes the scholars’ main studies in workflow mining, introduces the modeling process of two different kinds of mining algorithms in detail, compares and analyzes their performances, and explains the modeling process with an actual example.
DSP Memory Allocation Strategy Based on Greedy Algorithm
Authors: Fan Yan Hong , Ma Xiao Feng , Jiang Jing Sai , Xu Xiao Mei , Hao Qiu Yun , Zhang Peng
Published: July 2014

In practical applications of DSP systems, DSP chips with limited on-chip RAM resources are often chosen to reduce cost. In this condition, part of the codes has to be stored in FLASH or expanded RAM and thus can not run at full speed. This paper presents a strategy of allocating the on-chip RAMs to obtain the maximum system performance. First, the memory allocation problem is described as the knapsack problem, and then the greedy algorithm is applied. Experimental results show that the overall execution efficiency can be improved by 10% when the on-chip RAMs are rather limited. Therefore, the proposed memory allocation method is efficient for low-cost design to obtain higher performance.
On Application of Texture Mapping Technology in Simulation
Authors: Zhang Wei , Zhang Chun Hua , Zhang Yan
Published: July 2014

In the visualized simulation, the application of texture mapping technology can significantly improve image fidelity and superimpose the rich texture details to the surface, making the scene more realistic with real-time and fast invocation. This paper introduced the principle of texture mapping, the mapping process and implementation in software, and described in detail the implementation process of multi-layered texture mapping by example.
An Information Classification Optimization Model Based on Improved Ant Colony Algorithm
Authors: Hao Chun Mei
Published: July 2014

In the information management process, it is necessary to classify all information optimization to provide the support for quickly query the search target providing this, a classification optimization method based on improved ant colony algorithm is proposed in this paper. That is, extract the characteristics of information attribute, and then establish the optimization classification model based on the characteristics to achieve the classification of information. Experimental results show that using the improved algorithm for classification information, the classification accuracy can be improved to meet the actual demand data management.
Network Intrusion Detection Model Based on Genetic Algorithm Optimizing Parameters of Support Vector Machine
Authors: Liu Chun
Published: July 2014

Intrusion detection is an emerging area of research in the computer security and networks with the growing usage of internet in everyday life. Parameters selection of support vector machine is a important problems in network intrusion detection. In order to improve network intrusion detection precision, this paper proposed a network intrusion detection model based on parameters of support vector machine (SVM) by genetic algorithm. The performance of the model was tested by KDD Cup 99 data. Compared with other network intrusion detection models, the proposed model has significantly improved the detection precision of network intrusion.
Analysis of Fuzzy Clustering for the Adoption in Data Mining
Authors: Wang Ying Jie
Published: July 2014

Data mining is the general methodology for retrieving useful information from big data. Clustering analysis is a mathematical method of classification for unsupervised machine learning. It can be adopted for data classification in Data mining. This paper combines the clustering process by fuzzy way and then deduces a special clustering algorithm with fast fuzzy c-means (FFCM) method. In summary, the paper illustrates the adoption of a series of fuzzy clustering methods in Data Mining. These methods have improved the computational efficiency with learning as the convergence speed is fast. The methodology of this paper presents significantly meaningful for information retrieval of big data.
Research on the Corrosion Resistance of Tinplate with Reflowing Technology
Authors: An Cheng Qiang , Liu Chun Ming , Wang Hao , Zhang Shu Di
Published: July 2014

Reflowing technology was used to further improve the corrosion resistance of tinplate. Through one-factor experiment, the effects of heating power, heating time, quenching water temperature on the corrosion resistance of tinplate were investigated. The results showed that heating power and time of reflowing had effects on the corrosion resistance of tinplate; The corrosion area of tin layer surface was gradually reduced with the decrease of quenching water temperature, and its corrosion resistance was enhanced. The optimum process was determined as follows: heating power is 410W, heating time is 9s, and the range of quenching water temperature is from 30°C to 50 °C.
The Analysis and Realization of Interpreter Language in Nuclear Industry
Authors: Zhang Zheng , He Hai Bo , Lu Hao Liang
Published: July 2014

In order to satisfy the calculation requirements of nuclear power plant operating in different conditions, the integration and combination of reactor core computation modules have been proposed. By writing logical language instructions, and then read by interpreter, the engineering designers can make grammatical analysis, lexical analysis, semantic analysis and information extraction. In Linux system environment, the interpreter can fulfill computational tasks based on the actual operating parameters of nuclear power plant. The comparison results indicate that the calculated results obtained by the interpreter language are correct. Therefore, it also demonstrates that the interpreter language is valid.
A Mobile-Terminal-Oriented and Mobile-Cloud-Computing-Based Localized Scheduling Algorithm
Authors: Liu Rui Xiang , Zhang Yu Hong , Tang Yan
Published: July 2014

Mobile Cloud Computing utilizes cloud computing in the mobile internet. It takes the advantage of portability of mobile devices, and uses cloud computing to make up mobile devices' shortcomings, i.e., the capabilities of computation and storage. With the advent of cloud computing, more and more IT companies establish their own cloud computing platforms by using Hadoop, which gradually makes Hadoop a distributed cloud computing platform. By considering important attributes of mobile devices, e.g., low computation workload, high concurrency, and high real-time demand, we propose in this paper a local scheduling algorithm which is based on Hadoop mobile cloud computing, and we analyze the influence of response time and throughput on the system utility.
Research of the Ubiquitous English Learning Based on Cloud Computing
Authors: Han Su , Zhang Xin Dai
Published: July 2014

The 21st century is an information age. Now information technology is playing a more and more important role in the reform and development of our country’s education. At present cloud computing and ubiquitous learning are the two hotly-discussed topics in our educational field. The excellent opening and sharing functions of cloud computing lay a good foundation for the development of ubiquitous English learning. This paper defines cloud computing and ubiquitous learning, and researches the ubiquitous English learning based on cloud computing.
Algorithm of Representing and Preparing for Resources in EEM
Authors: Yu Qian , Li Tong , Zhang Xuan , Lin Ying , Yu Yong , Zhao Na
Published: July 2014

Software evolution process model (EPM) is a knowledge-intensive process which is described in EPDL(Software Evolution Process Description Language) and modelled by semi-formal approach based on EPMM(Software Evolution Process Meta-Model). EPM’s execution model (EEM) is represented by logic programming to create the knowledge base of EPM during constructing the EEM. Only its needing all kinds of resources are satisfied by system execution environment is activity in EEM implemented. The paper discussed the method and the algorithm of preparing resources is respectively presented in order to execute the EEM automatically. The converter program is realized and the correct results have presented to prove the correctness of the method.
Computer Simulation: A Tool for Researching the Basic Physical Properties of NiAl and Ni3Al
Authors: Xu Chao , Chen Dong
Published: July 2014

The crystal structures, lattice parameters, volumes, elastic constants, bulk moduli and shear moduli of the binary NiAl and Ni3Al alloys have been predicted by taking the first-principles plane-wave method in combination with ultra-soft pseudo-potentials. Also the pressure dependence ofCij,BandGare described and quantitatively discussed. The calculated results agree with the experimental data. The elastic constants obtained from our calculations meet their mechanical stability criteria. The DOS results show that the strong Ni-Al interaction plays an important role in the chemical bond of the Ni-Al alloys. Our predictions should be testified by the experimental investigations.
Adaptive Bit Allocation Algorithm for OFDM System
Authors: Wei Wei , An Wen Dong
Published: July 2014

For the greedy algorithm required a large number of iterations, this paper proposed one adaptive bit allocation algorithm based on Hughes-Hartogs algorithm which was improved greedy algorithm .Under the constraint of bit error rate and data transmission rate, the algorithm first used the Chow algorithm to allocate some of the bits, and then used the greedy algorithm to allocate the remaining bits. When minimize the total power by this algorithm, the iterations of this algorithm were significantly less than the greedy algorithm. By computer simulation, the results showed that performance of this algorithm was very close to the greedy algorithm, and the number of this algorithm’s iterations was 7.4%~34% of the greedy algorithm.
TiO2-Based Composite Film for the Photodegradation of Methyl Green
Authors: Song Na , Li Fang , Yao Ming Ming
Published: July 2014

A simple process was developed for preparation of highly photoactive Fe and S codoped TiO2-SiO2-ZnO composite film. The Brunauer–Emmett–Teller (BET) surface area results showed that the specific surface area of the composite TiO2 sample was 432.5m2g-1, while that of the pure TiO2 was 103.4m2g-1. The diffuse reflectance measurements exhibited an extension of light absorption into the visible region for the composite TiO2. The photoluminescence (PL) spectra analysis indicated that the electron-hole recombination rate was effectively inhibited in the composite TiO2. The photocatalytic activities of the TiO2 films were evaluated by the photocatalytic decomposition of methyl green in aqueous solution. The composite TiO2 film exhibited excellent photocatalytic activities compared to pure TiO2 film.
CFD Simulation of Gas Distributor with Two Chambers
Authors: Zhao Dong Fang , Liu Feng Guo
Published: July 2014

This paper investigated a new type of gas distributor with two chambers by CFD software. The distributor has a natural gas inlet and nine nozzle outlets. For the investigation of this project, the mass flow rate of the distributor was analyzed in this paper to provide a way to optimize the structure of distributor. The N-S equations approached with the RNG k-ε turbulence model and the discretization were employed second order upwind. The simulation results will provide a number of useful suggestions and references for the further design.
Research on Algorithm of Video Segmentation Based on Self-Adaptive Single Gaussian Model
Authors: Zhu Yong , Wang Dian Hong , Liu Jing Long
Published: July 2014

Single Gaussian background modeling is often used in the static scene. In order to overcome the deficiency of the traditional single Gaussian background subtraction method, an improved adaptive background modeling algorithm was proposed. First, the number of each pixel in the image determined as foreground that were as the parameters of each pixel update rate were counted respectively. So the original fixed update rate was transformed into the dynamic update rate changing with the parameter. In this way, the phenomena of ghosting and shelling was suppressed effectively in the traditional single model of Gauss. Finally, foreground objects were obtained by using the method of shadow removal based on morphological reconstruction. The experimental results indicate that the algorithm can quickly and accurately establish and update the background model, and extract the moving object effectively. Compared with existing approaches, experimental results with different real scenes demonstrate the robustness of the proposed method.
J-Integral Computation in Mixed Mode Ι and ΙΙ
Authors: Cai Yong Mei , Zhang Fang Yao , Xie Yu Jun
Published: July 2014

Computation of a path independent contour integration but it yields directly the independent values of the opening mode and shear mode stress intensity factors. The calculations are not sensitive to the choice of contour. To the J-integral calculation, the present scheme calculates separately the factors KI and KII. A simple method to determine the SIFs for the three-dimensional crack is proposed based on the conservation integral.
Consensus Equilibrium Point Analysis for Heterogeneous Multi-Agent System in Undirected Graph
Authors: Sun Yi Jie , Zhang Guo Liang , Zeng Jing
Published: July 2014

The consensus problem of heterogeneous multi-agent systems is investigated. A linear consensus protocol is proposed for this system. Aiming at consensus condition can be only obtained, but the consensus equilibrium point cannot be obtained in this study, the consensus equilibrium point is derived by applying graph theory and matrix theory in this paper. Finally, a numerical simulation is provided to illustrate the effectiveness of the theoretical result.
Decomposition of New Construction Land Quota in Rural Land Based on AHP
Authors: Cai Xiang Wen , Wang Hong Yang , Sun Yue , Gao Chong Hui
Published: July 2014

This article take LuoCheng MuLao Nationality Autonomous County in Guangxi province as a sample, decomposing the new construction land quota in this county based on AHP in determining the quota decomposition weights. In addition, this paper selected rural fixed assets investment, urban population, the total construction land during planning and implementation period, gross domestic product, four factors as the significant influencing ones. And standardized treatment of these factors to the indicators’ vector set.
Research on Software Algorithm Capture of Spread Spectrum TT&C Signals
Authors: Li Ren Long , Fu Gang , Wu Guang Zhi
Published: July 2014

Study a suitable algorithm for implementation of spread spectrum tt&c signals capture software.Analyzes in detail the serial capture pseudo-code algorithm based on FFT, according to the measurement and control conditions, in consideration of pseudo-code doppler and deal with the impact of bandwidth on the basis of, put forward the suitable for software implement methods of capture, primarily through the establishment of a distributed system simulation model and implements a spread spectrum tt&c signals of quasi real-time processing, prove the validity of the method.
A Fuzzy Clustering Algorithm Based on Parameter Optimization in Large Transaction Database
Authors: Su Wei , Zhang Xue , Xu Jia Jing
Published: July 2014

In view of the discretization of continuous attributes of civil aviation radar intelligence data, this paper proposes a fuzzy partition algorithm of continuous attributes based on weighted index and optimization of clustering number, and its automatic determination of optimal weighted index m and optimal clustering number c overcomes the shortcomings of current attribute fuzzy methods of manual determination of classification number and no consideration of geometry data. The experimental results verify the validity and feasibility of fuzzy attribute discretization of civil aviation radar intelligence data characteristics.
Identical Distributed Pairwise NQD Random Variables Sequences with a Novel Mutation Operator
Authors: Cao Jian , Li Gang , Ma Cen Rui
Published: July 2014

We study the strong stability of linear forms of pairwise negatively quadrant dependent (NQD) identically distributed random variables sequence under some suitable conditions. To overcome the weakness of collaborative services ability in different grid portal, a new grid portal architecture based on CSGPA (Collaborative Services Grid Portal Architecture), is proposed. This paper aims to enhance the performance of PSO in complex optimization problems and proposes an improved PSO variant by incorporating a novel mutation operator. The results obtained extend and improve the corresponding theorem for independent identically distributed random variables sequence.
Improving Performance of Wireless-Optical Broadband Access Network by Interpolation Algorithm of Zadoff-Chu Sequence
Authors: Cao Jian , Ma Cen Rui , Hu Xiao Jiang
Published: July 2014

HF channel sounding requires perfect autocorrelation property of the sounding sequences. Compared with other pseudonoise sounding sequences, Zadoff-Chu sequence gets great attention due to its predominant periodic autocorrelation property. A Wireless-Optical Broadband Access Network (WOBAN) is gaining more attention because its good performance and merits such as reliability, robustness and high capacity as well as flexibility. There are many factors that can affect the network performance, such as delay, packet loss and capacity utilization. Application examples show that, this system can significantly improve the efficiency of aerodynamic design.
The Application of Correlation Dimension in the Multi-Objective Comprehensive Evaluation of the Large Complex Equipment Procurement Scheme
Authors: Yang Yu Xin , Wei Fa Jie , Wang Fan
Published: July 2014

The multi-objectives of procurement scheme evaluation and the complicated nonlinear are pointed out in this paper according to the definition and characteristics of large complex equipments, and with regard to the defects present in the existing multi-objective comprehensive evaluation method, the assessment method of using fractal correlation dimension as the comprehensive quantitative index of multi-objective decision making in the large complex equipment procurement scheme is put forward, and the efficiency of such method is verified by the example of combat aircraft, which provides a new idea for the multiple objective decision making in the large complex equipment procurement scheme.
Tabu Search for Bus Crew Scheduling with Feasible Sets of Shifts
Authors: Wang Jiao , Ma Ji Hui , Guan Wei , Gu Hai Ting
Published: July 2014

Public transit crew scheduling problem is to carry out the operations task with the minimum drivers and operational cost. It is a multi-objective programming problem, which is well-known to be NP-hard. Restrained by the operational constraints and labor agreement, all the feasible sets of shifts were pre-generated in this paper. This work established a penalty function to ensure the validity of the schedule, and a cost function to reduce costs. With the help of Tabu Search, a solution can be found easily. A computational experiment based on the real-world crew scheduling problem in China demonstrates the strength of this method.
Modified Harmony Search Algorithm for Unconstrained Numerical Optimization Problems
Authors: Xia Hong Gang , Wang Qing Zhou
Published: July 2014

Harmony search algorithm is a new meta-heuristic optimization method imitating the music improvisation process where musicians improvise their instruments’ pitches searching for a perfect state of harmony. To enable the harmony search algorithm to transcend its limited capability of local optimum, a modified harmony search algorithm is proposed in this paper. In the modified harmony search algorithm, the mutation operation of differential evolution algorithm is introduced into MHS algorithm, which improves its convergence. Several standard benchmark optimization functions are to be test and compare the performance of the MHS. The results revealed the superiority of the proposed method to the HS and recently developed variants.
People Counting Based on the Moving Feature of the Mass
Authors: Qiao Peng Zhe , Li Tao , Xiang Tao , Zhang Xi Zhi
Published: July 2014

In order to improve the accuracy of people counting in video surveillance, the method for people counting based on the moving feature of the mass is proposed. We obtain the orientation and energy density of mass through the optical flow algorithm, and get the information about the size of mass to design the feature of mass. The people counting model is obtained by training a support vector machine (SVM) classifier with the moving feature and shape feature of mass. The experimental results confirm that our approach improves the accuracy of people counting.
A Cloud Storage Encryption Scheme Based on Separated Key and Encryption Policy
Authors: Wang Peng , Zhang Fu Zheng , Han Chun Lei
Published: July 2014

With the continuous expansion of the scale data storage, cloud storage technology for its high performance and low cost to get a lot of attention and support. However, the security issues of cloud storage data hinder its further promotion. For the current cloud storage applications of data stored encrypted, a cloud storage encryption scheme based on the separated key and encryption policy is proposed. By strengthening the data encryption key management and data encryption algorithm, the system achieves a more secure storage of data assurance in the technical level.
A Hybrid 2-Population Genetic Algorithm for the Job Shop Scheduling Problem
Authors: Xu Zhuo , Wang Rui , Wang Zhong Min
Published: July 2014

In this paper, an analysis of a hybrid two-population genetic algorithm (H2PGA) for the job shop scheduling problem is presented. H2PGA is composed of two populations that constitute of similar fit chromosomes. These two branches implement genetic operation separately using different evolutionary strategy and exchange excellent chromosomes using migration strategy which is acquired by experiments. Improved adaptive genetic algorithm (IAGA) and simulated annealing genetic algorithm (SAGA) are applied in two branches respectively. By integrating the advantages of two techniques, this algorithm has comparatively solved the two major problems with genetic algorithm which are low convergence velocity and potentially to be plunged into local optimum. Experimental results show that the H2PGA outperforms the other three methods for it has higher convergence velocity and higher efficiency.
Robust Principal Component Analysis Algorithm Based on Nonparametric Correlation Coefficient Matrix
Authors: Zhao Nan , Shao Hong Yu
Published: July 2014

Principal component analysis algorithm is widely applied in solving a large number of dimension reduction problems for high-dimensional data in fields such as image identification and comprehensive evaluation due to its clear conception and simple application. The PCA based on covariance matrix and correlation coefficient matrix is very sensitive to abnormal values so that the data structure is distorted. As a result, there exist great deviations in the analysis results and it is hard to explain. The traditional PCA is remade in this paper based on non-parametric statistical ideas, nonparametric correlation coefficient and gray relational coefficient, in order to define three kinds of robustness evaluation criteria and objectively evaluate the robustness of the algorithm through numerical experiments. The results of the numerical experiments show that the new algorithm is of good robustness to noise pollution and the algorithm is of good applicability.
Camshift Algorithm Based on Multi-Features, and its Further Improvement Study
Authors: Lin Jian Hua , Fu Gang
Published: July 2014

Camshift is an efficient single-feature algorithm based on color-kernel for simple object tracking. However, it’s easy to be interfered by sudden illumination variation or the similar color object in the background. Experiments show that the improved algorithm can track object accurately in dealing with sudden illumination variation and the similar color object in the background, and can meet the requirements of the actual task of object tracking.
Study of Numerical Simulation of RF Wave in Magnetized Plasma
Authors: Jiang Jian Feng , Jiang Zhong He , Sun Xin Feng , Guo Wei Xin
Published: July 2014

Wave heating is an important way to implement the controlled fusion. The propagation and absorbability of wave in the plasma are described by the two-fluid equations and Maxwell’s equations. A numerical algorithm based on the FDTD method and the MacCormack scheme is designed. The numerical simulation based on parallel computing is carried out to verify the validity of the algorithm and simulation.
On Laser Shock Processing to Improve Hot Corrosion Resistance of In718 Superalloy
Authors: Bai Yu Chuan , Hua Yin Qun , Rong Zhen , Xue Qing , Chen Rui Fang
Published: July 2014

The aim of this research is to improve the hot corrosion resistance of In718 superalloy by laser shock processing. Specimens were treated by laser shock processing on the whole surface. The hot corrosion resistance beneath molten Na2SO4 under 900 °C was investigated. The effects of laser shock processing impacts on residual stress, surface microstructure and microstructure after hot corrosion test were investigated. Results show that 3 times laser shock processing can induce-400 MPa compressive residual stress. The microstructure was characterized by highly tangled and dense dislocations and a large number of twins. The average corrosion rate of In718 superalloy treated by laser shock processing is about 50 % lower than that of the untreated superalloy.
Knowledge-Based Fuzzy Diagnostic Model
Authors: Lv Hong Wei , Li Xiao Kai , Wang Kai
Published: July 2014

This paper discusses a diagnostic model based on the fuzzy relation equations in the diagnosis model, adding a time parameter, given the consistency between the fault symptom set and a set of observed signs of relevance, coverage, and equal quantitative indicators, these quantitative indicators can guarantee that the omission of a potential fault is neither in the case of incomplete knowledge, but also to get the best known symptom set matching solution. At the same time, diagnose problems in the knowledge of the adequacy and completeness of their relationships.
Design and Simulation for New Type Pulley Straightening Machine Based on Pro/E
Authors: Geng Jin Hua , Yu Bin , Fan Bin
Published: July 2014

Pro/Engineer (Pro/E) was applied to design a new kind of motorcycle belt pulley straightening machine, which was composed of electric cylinder and stepper motor in this paper. The effect of positioning and correcting were achieved by the straightening machine during operation. The motion simulation for correcting key parts was done under mechanical module of the software. The mechanism motion speed and the motion trails of the straightening machine were acquired under different positioning accuracy. Through analysis on the motion trails, the best range of the correcting parts′ rotational speed can be optimized.
Study on the Statics Analysis of Promoting the Drilling Efficiency of PDC Anchor Bit
Authors: Li Yan , Song Yin Fang , Mao Yi Lin
Published: July 2014

PDC anchor bit has the very good rock fragmentation abilities with high penetration rate and long drilling time,which makes the drilling efficiency highly improved and the economic benefit remarkably increased.Now PDC anchor bit has been widely used in drilling field.But for the reason that it is sensitive to the formation characteristics and working conditions,it doesn’t achieve good performance in homogeneous formations such as conglomerate and interbeded sections.In order to reach the goal of enlarging the scope of PDC anchor bit application in oilfields,it is necessary to study the breakage mechanism in conglomerate formations and design the PDC anchor bit optimally.
Performance Analysis and Simulation Study of Boiler-Turbine Coordinated Control System
Authors: Jiang Yi Yang , Wang Dong Feng
Published: July 2014

The boiler-turbine coordinated system is a very important process of a power generation unit. This paper takes 300MW power plant as the controlled object and conducts simulation study on its different kinds of load control modes under the environment of the MATLAB. The parameters of PID controller are optimized using signal constraint (S-C) module in Simulink toolbox. By analyzing the results of the simulation and comparing both the advantages and disadvantages of them, we can provide references for the choices of load control mode of power unit.
Passivity-Based Control of Motor for Reaction Wheel
Authors: Yu Ren Long , Jin Jing
Published: July 2014

To achieve high-precision tracking control of motor speed for magnetically suspended reaction wheel, mathematical model combining BUCK converter with permanent magnet brushless DC motor system is established, and a MSRFW speed mode Passivity-based control method is presented. A passivity-based controller of speed tracking is designed in order to enhance the speed of tracking performance. Experiments on MSRW platform show that passivity-based control method can improve the speed of the dynamic response and tracking accuracy, from which the validity is verified.
Path Planning for Circular Cutter Envelop Milling of Steam Turbine Blade
Authors: Wang Jian Jun , Wang Ke , Wu Qiong
Published: July 2014

In order to solve the problem of poor steam turbine blade processing efficiency, and on the basis of analyzing the turbine blade surface and the existing processing methods, a model of circular cutter turbine blade machining is built. By comparing the tool paths of horizontal and vertical section envelope machining, choosing quasi-vertical cross section envelope machining method and utilizing the original datum and NURBS surface matching mathematic methods, this paper provides an algorithm of residual height calculating, and based on this, the tool path can be planned. Datum show that, the tool path of circular cutter machining blades is much longer than the tool path of ball-end cutter envelop milling machining blades, and the machining efficiency is also highly enhanced.