bluuebunny/crossref_metadata_2025 huggingface dataset:
A Discovery Method of the Dirty Data Transmission Path Based on Complex Network
Authors: Zhao Xiao Lin , Hao Gang , Hu Chang Zhen , Li Zhi Qiang
Published: October 2014

With the increasing scale of software system, the interaction between software elements becomes more and more complex, which lead to the increased dirty data in running software system. This may reduce the system performance and cause system collapse. In this paper, we proposed a discovery method of the dirty data transmission path based on complex network. Firstly, the binary file is decompiled and the function call graph is drawn by using the source code. Then the software structure is described as a weighted directed graph based on the knowledge of complex network. In addition, the dirty data node is marked by using the power-law distribution characteristics of the scale-free network construction of complex network chart. Finally, we found the dirty data transmission path during software running process. The experimental results show the transmission path of dirty data is accurate, which confirmed the feasibility of the method.
Research on the UV-Curing Injection Molding
Authors: He Jian Yun , Yu Yuan , Wang Ruo Yun , Tang Xia , Wang Qiang , He Li Chen , Yang Wei Min
Published: October 2014

Based on the combination of UV curing and injection molding, a new concept named "chemical manufacturing" is proposed in this paper. A cylinder with a diameter of 6mm and a height of 10mm was used as the molding sample;A single factor analysis was used to determine the effects of the intensity of ultraviolet, the duration of ultraviolet irradiation and the distance between UVLED device and product surface on the formability of UV-curing injection molding. The experimental results showed that the intensity of UV radiation, the UV irradiation duration and the distance between UVLED device and product surface have a significant effect on the UV-curing molding of the product. With the increase of ultraviolet radiation intensity and UV irradiation duration, the forming quality of the products increases, while with the increase of the distance between UVLED device and product surface the forming quality of products declines.
A Neural Networks Pruning and Data Fusion Based Intrusion Detection Model
Authors: Gong Wei
Published: October 2014

The abilities of summarization, learning and self-fitting and inner-parallel computing make artificial neural networks suitable for intrusion detection. On the other hand, data fusion based IDS has been used to solve the problem of distorting rate and failing-to-report rate and improve its performance. However, multi-sensor input-data makes the IDS lose its efficiency. The research of neural network based data fusion IDS tries to combine the strong process ability of neural network with the advantages of data fusion IDS. A neural network is designed to realize the data fusion and intrusion analysis and Pruning algorithm of neural networks is used for filtering information from multi-sensors. In the process of intrusion analysis pruning algorithm of neural networks is used for filtering information from multi-sensors so as to increase its performance and save the bandwidth of networks.
The Introduction of the LF Refining Function and Process
Authors: Zhou Xiao Lei , Shi Zhe , Zhang Gui Fang , Ding Yue Hua , Yang Xiao Yuan
Published: October 2014

The process of LF Refining is introduced in this paper.The LF method is a ladle without vacuum equipment can arc refining method.Because the LF ladle furnace has the advantages of simple equipment, low investment cost, flexible operation and excellent refined effect, are widely used and developed in many countries.The argon is blown from the bottom of the ladle, and molten steel is heated by the graphite electrode, so the purpose of refiningis achieved. The argon stirring can accelerate the chemical reaction between slag and steel.LF refining function includes reductive atmosphere, submerged arc heating, argon stirring and white slag refining.
Dynamic Effect Simulation of Snow Falling Based on Particle System
Authors: Yin Ying Ying
Published: October 2014

To simulate snow falling scene dynamically, a method based on particle system is presented to simulate snow falling effects, it use calculated model to simulate the real effects of snow falling in the basis of snow natural characteristics. The simulation results have proven that the proposed method is more effective for simulating snow falling with realistic effects.
Hospital Library Information Service under the Digital Environment
Authors: Yang Wei Hong
Published: October 2014

The emergence of the Internet for the global economy and the society as a whole has brought a huge change, the popularity of the Internet, the development and applications, has created new economic development stage -- E era, network, information , digitization has become the main melody of The Times. The structure of the network economy not only changed the whole social economy and environment, and changing the human study, work and lifestyle, as well as hospital library has brought profound changes. Make full use of advanced network technology and abundant information, the omni-directional service for readers, meet the demand of the medical staff, has become a hospital library in the new period in urgent need of research, discuss and solve the problem.
Implementation and Application of an Algorithm for System Menu Traversal in C#
Authors: Lou Qi Ming , Yang Zhi Jin
Published: October 2014

The management of user permissions is one of the basic and important functions to ensure the safety of a management information system. Firstly, this paper analyzes the shortcomings of the tow kinds of access-control methods generally used; then brings forward an algorithm of Traversal system menu items and stored the items in database; finally, realized the algorithm in C# with an application. By using the algorithm of traversal menu items, user permissions of a system can be controlled easily and dynamically.
Research and Implementation of Topic Crawler Based on Hadoop
Authors: Gu Rui , Jiang Jian Feng
Published: October 2014

This article proposes distributed topic-focused crawlers on the basis of HDFS and MapReduce, which are the two core technologies of Hadoop. The crawler has the advantages of distributed processing ability, scalability, high reliability. This article analyses the dependency of subject by using the method of conceptual analysis and uses MapReduce to realize webpage crawling and updating webpage. At last using experiments to verify the performance, expansibility and reliability of the system
Research of Android Platform Application Based on HTML5
Authors: Li Xian Wei
Published: October 2014

In the society with the rapid development and popularization of computer technology, the management information system has become the hot field of software development. It runs stably in the browsers, like IE6, IE7, IE8, IE9 and FireFox, with high efficiency, sound security, friendly interface and simple operation. It has done research on the design and realization process of HTML5 off-line data storage on the Android platform. Under the Eclipse integrated development environment, with Android SDK and HTML5 grammar, develop the system, which realize the functions of off-line storage, addition, deletion and modification of user data. It enables the application of HTML5 of Android platform and has made detailed analysis on the Android platform and HTML5 application module. The result indicates, the webpage application design of HTML5 conducted on the Android platform, is simple and fast, which can better meet the demand of Android cellphone users.
Research on Optimal Deployment of HWSN Node Cost Based on Simulated Annealing Algorithm
Authors: Shen Ji Tao , Zhang Jun Yang
Published: October 2014

An optimal heterogeneous sensor differentiated deployment schemes based on simulated annealing algorithm is proposed to solve the problems of the high density of distributing heterogeneity nodes in WSN and geographical irregularity of the sensed event. This method can not only apply to Boolean perception model of the node, but also apply to perception model. The algorithm uses the cost of sensors deployment as objective function in the context of assuring the coverage and fault tolerant of networks. The simulation results show that, the optimization method proposed in this paper can effectively convergence, under the premise to ensure network fault tolerance and robustness, reduces the cost of network deployment, improve the quality of target monitoring network.
Research on Optimal Strategy of HWSN Coverage Based on Force-Directed Differential Evolution Algorithm
Authors: Zhang Jun Yang , Shen Ji Tao
Published: October 2014

A dynamic sensor deployment strategy for heterogeneous mobile wireless sensor networks is proposed, so-called virtual force-directed differential evolution algorithm (VFDE). To ensure efficient coverage of networks, VFDE combines the virtual force (VF) with differential evolution algorithm (DE), where the position vector of each population is updated according to not only the historical local and global optimal solutions but also the virtual forces of sensor nodes. The key motivation of this strategy is to use the virtual force to direct the updating of DE for improving the convergence speed, and DE is used to enhance the global searching ability. Simulation results show that VFDE has better performance on regional convergence and global searching than VF algorithm and DE algorithm, and it can implement dynamic heterogeneous mobile sensor deployment efficiently and rapidly.
Schedulability Analysis of Fixed Priority Servers for Scheduling Aperiodic Real-Time Tasks – A Review
Authors: Zhang Feng Xiang
Published: October 2014

This paper focus on the schedulability analysis of fixed priority servers. A number of fixed priority servers and their schedulability analysis are reviewed, these results and properties can be used for constructing systems with different timing constraints, where real-time tasks with hard deadlines and the soft aperiodic tasks can be scheduled in the same system. The aperiodic tasks in the fixed priority servers are not preemptable, and they are scheduled in a first-come first-served manner. There is only one server with many periodic or sporadic tasks in the system. The tasks and the server are scheduled by a fixed priority algorithm such as rate monotonic or deadline monotonic.
Spectrum Sensing with Clustering in Cognitive Radio Networks
Authors: Guo Jie , Jing Da Hai , Gu Yan
Published: October 2014

The main task of spectrum sensing in cognitive radio network is to decide whether the primary user is occupying the specific spectrum band or not. So the main purpose of spectrum sensing is to design a detector with better detection performance. This paper studies a spectrum sensing method with clustering under cognitive radio networks. We studied the cooperative spectrum sensing model with clustering by hard fusion rule, and also proposed the simulation model and steps of this cluster-based spectrum sensing problem under Majority rule. Simulation results show that the spectrum sensing method with clustering has better performance than the other methods.
Study on Application of Electronic Delivering Service Based on the Media of Internet in Civil Cases
Authors: Fang Yong Nan
Published: October 2014

The twenty-first century is an era of information technology, all the information communication technology industry showed its vitality. The advanced information technology also played an important role in the development of the civil litigation. With the fusion of new information technologies and the development of the computer, the development of new products have been widely used,then, a new combination from technology and civil litigation--electronic delivering service is emerged, which has the characteristics of low cost and high efficiency. At the same time, it is very likely to become the main mode of delivering service in the future.
Study on the Quantitative Vulnerability Model of Information System Based on Mathematical Modeling Techniques
Authors: Li Yun Zhi
Published: October 2014

The idea of mathematical modeling is used to establish the quantitative model of information system vulnerability assessment, and the model is solved by using the partial differential method. The algorithm is realized by using VB programming, and it obtains the quantitative solution of information system vulnerability. Quantitative assessment of information system security and risk is the difficulty of system vulnerability assessment, and it establishes the risk model of system by means of mathematics modeling idea. The risk model is divided into the actual risk and the potential risk. The paper uses VB programming software, and establishes a quantitative model of information system evaluation by combining with partial differential method, and the algorithm is carried out the experimental verification by using the method of numerical simulation. Through the calculation, the mathematical modeling ideas can effectively obtain the vulnerability quantitative standard and the risk level of information system, which provides the technical reference for the research of information system security evaluation method.
The Application of Computer Multimedia Technology in Aerobics Music Orchestration
Authors: Zhao Qian Qi
Published: October 2014

In the teaching training and competition of aerobics, the music exists throughout, and relies on each other; and so introduced the hardware and software environment, the corresponding production steps and methods of operation in aerobics computer music production, thus providing a certain reference to aerobics music production and study.
The Design and Implementation of the Software System of the Maintenance Training Simulator for a Certain Type of Communication Controlling Machine
Authors: Qiu Chuan Fei , Zhou Quan Zhi , Liu Jun Xian , Nie Hui Yu
Published: October 2014

Owing to the technical complexity and high integration, there are problems of high difficulty and high cost of after-sales service personnel training in a certain type of communication controlling machine. A software system of maintenance and simulator trainer is designed and developed. By integrated use of a variety of techniques, the communication transfer function and maintenance and simulation training function of the simulator trainer are achieved in this paper.
The Design of Mobile Terminal Security Management System Based on Digital Certificate
Authors: Zhang Xue Yuan , Tang Jun , Li Min
Published: October 2014

The mobile terminal is a indispensable communication tool in people's daily life.Mobile applications are widely used in daily office of various industries. But there are many mobile terminal security risks.At present,the security mechanism of mobile terminal is weak,therefore how to ensure the mobile terminal security has become a hot topic of the industry.This paper put forward a solution of mobile terminal security management system which based on digital certificate,Specific praper discusses the design of the whole system,the system architecture,application of digital certificate in this system, background design,front design,and application of system also be described in detail.The design of the mobile terminal security management system has a certain significance.
Analysis of Trichome Density and the Content of Glandular Secretion on Different Flue-Cured Tobacco Leaves
Authors: Leng Lu , Lu Yin Gang
Published: October 2014

To clarify the relationship between the glandular density and the glandular trichome secretion content of different varieties of flue-cured tobacco,the trichome density of 5 kinds of flue-cured tobacco species was analyzed by electron microscope,and glandular secretion was analyzed by GC/MS.The results showed that:the trichome density of flue-cured tobacco is not proportional with the content of glandular secretions,and the morphology of glandular trichome were approximately same in five tobacco varieties.The content of cembrenoids are the highest in the glandular trichome secretion components of flue-cured tobacco,which is the main ingredient.Through regulating metabolism terpenoids to improve diterpene content is the key element to improve the content of tobacco glandular secretions.
An Overview of Wireless Communication Networks for Grid-Enabled Vehicles
Authors: Sun Zhong Wei
Published: October 2014

Grid-enabled vehicles (GEVs) can draw and store energy from the power grid to support their propulsion systems as well as feed back power to the grid via power converters. They are regarded as one of the most effective tools to address environmental and energy issues. This paper provides an overview of wirless communication networks that support the GEVs application. More specifically, the operation modes of Grid-to-Vehicle and Vehicle-to-Grid are described, and representative wireless communication technologies which may be adopted for the premise networks and field area networks/neighborhood area networks (FAN/NAN) are discussed.
Costume Innovative Design Based on Kansei Engineering
Authors: Huang Jun Min , Li Xiang , Wu Hong Fang , Sun Yu Fang
Published: October 2014

This paper elaborates the necessary part of kansei engineering in costume innovative design ,with the analysis of kansei engineering. It proposes the frame of costume innovative design based on kansei engineering, helps designers discover the interest of customers in costume products, and elaborates the relationship between the establishment of kansei and elements of costume design which provides evidence for guidance of costume innovation and evaluation of design effect. In the end, this paper points out that kansei engineering has a broad prospect applies in costume design to better satisfy the kansei requirement of users.
Design and Implementation of Facial Sketch System Based on Cloud Computing Platform and Big Data
Authors: An Yan Jun , Hou Yue
Published: October 2014

At present, the facial recognition is largely using in the criminal investigation for the identification of suspects, the information from the informants, however, is very hard to obtain the main feature and to draw it accurately because of the affection of mood, light, visual differences and so on. However, with some computer technology, combining the resource from big data and cloud computing platform, the success rate of the search and recognition could be greatly improved. Therefore this article will bring out a facial drawing system based on big data and cloud computing platform.
Hybrid Laser/Microwave Wireless Communication System for Fractionated Cluster Spacecraft
Authors: Li Xiang Yang , Ma Zong Feng
Published: October 2014

Compared with conventional a single, “monolithic” satellite, fractionated cluster spacecraft system has the advantages of enhancing the adaptability and survivability of space systems while also shortening development expense. A novel wireless communication system that combines both microwave and laser technology has been investigated and demonstrated. The experiment results show that the hybrid laser/microwave wireless communication can offer excellent information services and meet the cluster system requirement.
RFID Technology Applied in Medicine Distribution Center
Authors: Wang Ci Nian
Published: October 2014

After a full analysis of the principle and general structure of Medicine Distribution Center (MDC), this paper researches the application of RFID (Radio Frequency Identification) in MDC. The MDC adopts the RFID as the support platform, covering the medicines’ entry, picking, checking, delivery and many other operation flows. The paper also constructs a new medicine-distribution mode and its information system model in accordance with GPS (global positioning system), GIS (geographical information system) and routing optimization technology. The MDC can collect, deliver, check, and update mass data on the medicines’ entry and delivery, the labor intensity being decreased. Fault scanning, miss scanning, re-scanning and other artificial errors have been avoided, and the efficiency and accuracy improved.
Collaborative Application of Computer Technology in Interior Design
Authors: Yang Xu Guang , Wang Jian
Published: October 2014

Computer-aided indoor design is a communication-dense process. In the design, computer technology is usually needed to realize mutual data interaction, feedback and coordination as well as promote the quality and efficiency of indoor design through the correlation of data. Therefore, from the perspective of computer supported environment, the paper puts forward the most explicit requirements on cooperative design, i.e., by adopting a series of software, such as CAD, Revit, BIM and so on, under the technological background of computer supported cooperative work, the paper improves the maintenance and updating of each link in the design and construction process, thus leading to a great and overall leap of indoor design based on the bidirectional associations between computer technology and cooperative design.
3D Model Retrieval Based on Wavelet Transform
Authors: Chen Cong Cong , Gong Wei , Fu Wen Long
Published: October 2014

The 3D model retrieval technology has been widely used in many fields, then the 3D model retrieval based on content is proposed, feature extraction becomes the key to retrieve accurate or not, using wavelet transform combined with wave frequency method of feature extraction can partly solve the problem of ambiguity, the experiment proved that the algorithm improve the efficiency and accuracy of retrieval.
A Perturbed Algorithm for Completely Generalized Set-Valued Nonlinear Quasi-Variational Inclusions
Authors: Fang Bao Di
Published: October 2014

In this paper, a class of completely generalized set-valued quasi-variational inclusions for fuzzy mappings are introduced and studied. The equivalence between these kinds of variational inclusion and a fixed point problem is established. Based on this equivalence, some algorithms for this problem are suggested and analyzed.
Alternating Direction Method of Solving Nonlinear Programming with Inequality Constrained
Authors: Feng Ai Fen , Zhang Li Ming , Xue Zhen Xia
Published: October 2014

This paper, a new class of augmented Lagrange functions with the new NCP function is proposed for the minimization of a smooth function subject to inequality constraints. Under some conditions, we prove of the equivalences of the KKT point and local point and globe point between primal constrained nonlinear programming problem and the new unconstrained problem. By the character of augmented Lagrange function, the algorithm which uses alternating direction method is constructed and proved convergence.
An Application to Academic Rankings of New Evaluation Algorithm
Authors: Chu Wan Jun
Published: October 2014

Cross efficiency evaluation is an effective method for ranking decision marking units in data envelopment analysis (DEA) and can be performed with different secondary goals. This paper proposes new alternative models and algorithm for DEA cross efficiency evaluation to provide more methodological options for the decision marker to choose then. The model is illustrated with examples.
Application of Variance Analysis Method in Agriculture Information in Statistics
Authors: Cao Li Ying , Yu He Long , Ma Li , Chen Gui Fen , Yang Ting Ting
Published: October 2014

Variance analysis is a method commonly used in biological statistics. How to use the statistical analysis software for the analysis of variance to achieve the results of the rapid and scientific treatment, to obtain the correct conclusion, is an important part of agricultural research. This paper introduces how to use SPSS (Statistical Package for the Social Science or Statistic Products andService Solution) data analysis tool for the variance analysis method; the data analysis and processing of fast, accurate and intuitive; compared with Excel, the statistical analysis function of SPSS is more powerful, can help to improve the efficiency of data processing, but also reduce the experimental cost.
Complete Convergence of Weighted Sums of ρ Mixing Sequences
Authors: Ren Quan Yu , Dan Xia
Published: October 2014

Probability limit theory is not only one of the main branches of probability theory, but also important base of others branches and mathematical statistics. In this paper, we discuss the laws of large number and complete convergence of mixing sequence. The paper can be divided into the following two parts. In the first part, we introduce Cesáro uniform integrability and equivalent conditions for sequences of random variable. Then, under these conditions, we establish the weak law of large number and convergence for weighted sums of sequences of random variable of mixing sequence. As an especial example, we obtain the weak law of large number or convergence for mixing sequence. From the course, we can find that Cesáro uniform integrability is also an effective tool for researching the weak law of large number of mixing sequence .In the second part, we investigate a complete convergence theorem of weighted sums of mixing sequence, and prove that the existent results are especial examples for it.
Data Quality Evaluation in Aerospace Tracking Mission
Authors: Duan Hui Fen , Sun Wei , Wang Hua
Published: October 2014

Modeled on data quality evaluating methodology, a standardized real-time rule framework is proposed. The framework is accurate and reliable for estimating aerospace experiment tracking information. By converting all the rule evaluating results that consisted of time-delay, error, range and etc. to a uniform questionable data count format, the framework presents an algorithm that takes both tracking source and station into account based on questionable data statistics for quantified information quality evaluating. The quantitative quality evaluation of measurement information problem can be solved via the proposed framework.
Simulation and Analysis on Fast Modeling for Large-Scale 3D Dynamic Images
Authors: Wang Ting Ting
Published: October 2014

In the process of modeling of 3D dynamic images, influenced by the large volume of the objects, it is difficult for the traditional method to build a model really show the effects of 3D dynamic images. To solve this problem, the paper proposes a new fast modeling method for large-scale 3D dynamic images through the usage of OpenGL. It promotes the design result from 2D space to 3D space, thus making the images more lifelike. The experiment shows that the 3D dynamic images modeling algorithm can rapidly build the 3D model with excellent effect saving time and improving work efficiency.
The New Approach to the Invariant Feature Extraction Using Ridgelet Transform
Authors: Yu Ying , Dong Cai Lin , Sheng Bo Wen , Zhong Wei Dan , Zou Xiang Lin
Published: October 2014

With the aim to meet the requirements of multi-directional choice, the paper raise a new approach to the invariant feature extraction of handwritten Chinese characters, with ridgelet transform as its foundation. First of all, the original images will be rotated to the Radon circular shift by means of Radon transform. On the basis of the characteristic that Fourier transform is row shift invariant, then, the one-dimensional Fourier transform will be adopted in the Radon domain to gain the conclusion that magnitude matrixes bear the rotation-invariance as a typical feature, which is pretty beneficial to the invariant feature extraction of rotation. When such is done, one-dimensional wavelet transform will be carried out in the direction of rows, thus achieving perfect choice of frequency, which makes it possible to extract the features of sub-line in the appropriate frequencies. Finally, the average values, standard deviations and the energy values will form the feature vector which is extracted from the ridgelet sub-bands. The approaches mentioned in the paper could satisfy the requirements from the form automatic processing on the recognition of handwritten Chinese characters.
An Algorithm Based on Related-Selection for Network of Reversible Logic Gates
Authors: Zhang Yi Qing , Xu Ming Qiang , Qu Yi , Guan Zhi Jin
Published: October 2014

This paper presents an algorithm based on related selection for reversible logic synthesis, and the algorithm is optimized. The algorithm realizes the synthesis of the whole 3-varibles functions and some part of 4-varibles functions. The algorithm for the space complexity is O(n*2n). Compared with other algorithm for reversible logic synthesis at home and abroad, this algorithm has a less gate number in the synthesis of the whole 3-varibles functions and some examples in benchmark.
Analysis of Adaptive Beamforming Based on Convex Optimization
Authors: Chen Qian , Gu Kai , Zhai Li Li
Published: October 2014

Most of the signal in the communication system have the cyclostationary property. Many algorithms based on the cyclostationary of the signal in the array signal processing have been exploited. They can well work without knowing the steering vector of interested signal, thus they all belong to the blind algorithms. When there is cycle frequency error, a mathematical analysis of gradient decent-based algorithm is provided in this paper. It pointed out that due to the zero point effect of the sinc function, the above approach have periodic deterioration as the number of snapshot increasing. Hence, in this paper a novel robust algorithm based on conjugate gradient, which can be used to extract signals with cyclostationarity with the cycle frequency error, is proposed. Because of its fast convergence, periodic nulls can be circumvented, and the steering vector of interested signal is estimated. Then we use traditional beamformer to avoid the influence of cycle frequency error. Simulation experiments show that our new algorithm performs well under cycle frequency mismatches.
Audio Power Amplifier Design and Debugging
Authors: Liang Ji Xiu , Li Shou Kui
Published: October 2014

The modern demands for hearing level is getting higher and higher, so the authenticity of stereo sound quality demand is higher and higher, the stereo power amplifier is integrated circuit TDA2030A primarily composed of stereo power amplifier, it USES the typical power amplification circuit, with less distortion, peripheral components, high stability, wide frequency response range, high fidelity, the advantages of large power, at the same time adopt SiYun put GL324A of input audio signal processing and high, bass, and thus more output sound of quality guarantee. Articles of amplifiers made simple introduction, and give the detailed design and debug program.
Effect of Endoplasmic Reticulum Stress on Resveratrol-Induced Cardioprotection
Authors: Ayub Hammayun , Ahmed Shakir , Yasin Ayesha , Zhang Yi Dong , Wang Zhuo , Xi Jin Kun
Published: October 2014

To investigate if resveratrol prevent the mitochondrial permeability transition pore (mPTP) opening through inhibition of endoplasmic reticulum stress (ERS). Methods: Rat heart tissue-derived cardiac H9c2 myoblast cell line was cultured. Fluorescence images of mitochondrial membrane potential were obtained with confocal microscopy. Western blotting analyzes the ERS marker protein GRP78 expression. Transmission electron microscopy detects the subcellular structure. Results: Exposure of cardiac H9c2 cells to 100 μM 2-DG, the ERS inducer, for 20 min caused a marked decrease in mitochondrial specific tetramethylrhodamine ethyl ester (TMRE) fluorescence. Resveratrol significantly prevented the loss of TMRE fluorescence. Western blotting revealed that resveratrol decreased GRP78 expression. Experiments with transmission electron microscopy revealed that resveratrol prevented 2-DG-induced swelling of endoplasmic reticulum and mitochondrial damages. Conclusions: These data suggest that inhibition of ERS leads to the prevention of mPTP opening. Resveratrol prevents the mPTP opening through inhibition of ERS.
An Improve Cuckoo Search Algorithm for Traveling Salesman Problems
Authors: Lengzhi Suo Nan , Li Yue Guang
Published: October 2014

In this paper, according to the characteristics of TSP. An improve Cuckoo Search Algorithm was used to solve the TSP, adopting the code rule of randomized key representation based on the smallest position value. The experimental results show that the new algorithm is successful in locating multiple solutions and has better accuracy, simulation results of benchmark instances validate the efficiency and superiority of Cuckoo Search Algorithm.
Effect Evaluation Method of Video Surveillance System
Authors: Zhu Tao , Du Zhi Guo , Hong Wei Jun
Published: October 2014

According to the problem of over-subjective in current effect evaluation method of video surveillance system, a comprehensive effect evaluation index system of video surveillance system is established. Hierarchy belongingness between multiple index elements is established, the function of each index elements is quantitatively analyzed with the help of MATLAB, and the effect evaluation of video surveillance system is performed with the application of fuzzy comprehensive evaluation method. It is proved in instances that the effect evaluation method of video surveillance system with the application of the index system is capable of evaluating the video surveillance system effectively and quantitatively.
Face Tracking Based on Particle Filtering and α-β-γ Filtering
Authors: Yang Dong He
Published: October 2014

In view of the traditional particle filter algorithm cannot guarantee effective tracking in the case of target rotation or obscured. The study proposes a tracking method based on α-β-γ filter and particle filter. The algorithm uses α-β-γ filtering prediction position as the next frame image target candidate model of computing center of particle filter algorithm. The algorithm uses α-β-γ filtering prediction position as the next frame image target candidate model of computing center of particle filter. To reduce the number of iterations of particle filter algorithm, strengthen the real-time tracking of moving face. When detect the face is obscured, with α-β-γ filter prediction point as facial movement position, so as to realize the continuity of the movement. The experimental results show that the proposed algorithm improves the traditional particle filter for real-time face tracking, enhancing the ability of anti-occlusion.
Effects of Phosphate Fertilizers on Bioavailable Lead in Tea Garden Soil and Lead Absorption and Accumulation by Tea Plants
Authors: Lv Ya Min , Yang Jing Ping , He Jun Yu , Zhao Xing , Ye Xin Yi
Published: October 2014

Tea is a widely consumed beverage in the world and an important economic crop in China. However in recent years tea gardens were increasingly contaminated by heavy metals such as lead (Pb). Root uptake of Pb could contribute significantly to Pb accumulation in tea leaves due to the strong acidity of tea garden soils. To reduce the Pb bioavailability and absorption by tea plants, a pot experiment was conducted to evaluate the effects of 3 phosphate fertilizers separately with a normal application rate in the field of 0.2 g (P2O5) ·kg-1soil and a high application rate of 0.5 g (P2O5) ·kg-1soil on bioavailable Pb in tea garden soil and Pb absorption and accumulation by tea plants. Results showed that application of calcium magnesium phosphate significantly increased soil pH by up to 0.6 units from 3.50 to 4.13. Phosphate fertilizers resulted in an increase of bioavailable Pb concentration in tea garden soil under our experimental conditions. Pb concentration in tissues of the tea plants under different phosphate fertilizer treatments followed the order of root>stem>leaf. Calcium magnesium phosphate with a high application rate of 0.5 g P2O5·kg-1soil decreased Pb concentrations of roots, stems and leaves of tea plants significantly. For one phosphate fertilizer, Pb absorption in tea plants under high application rate was much lower than it under normal application.
Functional Structure Modeling Based on Fuzzy Inference
Authors: Yin Ying Ying , Li Jin Ying
Published: October 2014

A method that use fuzzy inference theory to infer the functional structure model is presented. Is based on fuzzy inference theory of artificial intelligence area, analyze and study the measured data, then extract plant growth rule and growth function. When constructing functional structure that can reflect the impact of the environment, the influence of environment was taken into full account. The source and sink organs respond the surrounding virtual environment according to its inbuilt growth function, and produce, allocate and consume assimilates as well as update the L-grammar representing the plant structure, and at last produce the plant that adapt to present virtual environment. The simulation test result show that the model can accurately extract the growth rule, construct right growth function, and vividly reflect the impact of environment.
Improved Natural Gradient Algorithms for Multi-Channel Signal Separation
Authors: Cheng Hao , Yu Na , Liu Jun
Published: October 2014

In this paper, an Multi-channel blind separation of Direct Sequence Code Division Multiple Access (DS-CDMA) has been introduced. Most of which we assume statistically stationary sources as well as instantaneous mixtures of signals using blind source separation (BSS) algorithms. In practicality, the CDMA sources received are convolute mixing. A more complex blind separation algorithm is required to achieve better source separation. Based on the minimizing the average squared cross-output-channel-correlation, the proposed scheme obtains the better source separation. Simulation results show that the proposed optimal scheme not only achieves superior bit error rate (BER) performance to those of the existing ones, but also provides a guaranteed-convergent solution under different channel conditions.
New Criterion for Stability of Linear Systems with Interval Time-Varying Delay
Authors: Wang Ting Ting , Xu Zhao Di , Su Hong
Published: October 2014

This paper is concerned with the delay-dependent stability for linear systems. Through constructing a new augmented LKF and using a new integral inequality, the improved delay-dependent stability criteria are derived in terms of linear matrix inequalities, and it is established that the results have less conservativ`e than some existing stability conditions. Finally, numerical examples are given to illustrate the effectiveness of the proposed result.
The Improved Method of Delay-Dependent Stability Criterion for Uncertain Systems with Multiple Time-Varying Delays
Authors: Su Hong , Xu Zhao Di , Wang Ting Ting
Published: October 2014

This paper discusses problems of linear uncertain system with multiple time-varying delays. Through the application of a novel design by own lemma and augmented Lyapunov function, a less conservative results than the existing essay that have been obtained. The new criterion enlarges the existing maximum bound of the time delay. Numerical examples were given to demonstrate the effective of the result.
Conjoint Analysis of Focusing Field Characteristics of Radially Polarized Beams Based on LabVIEW and MATLAB
Authors: Zhang Xiao Qing , Jia Yu Dong , Du Fu Rong
Published: October 2014

For the aim of analyzing focusing field characteristics of radially polarized beams, a conjoint analyzing method is presented based on LabVIEW and MATLAB. The main program is programmed in the LabVIEW environment, connecting with MATLAB program through ActiveX control. Experimental results show that the strength of the radial component in the center is zero and the strength of the axial component in the center is the largest. The conjoint analysis method realized characteristic analysis of focusing field for radially polarized beams, laying the groundwork for beam transmission of the late application.
Extraction of Tobacco Leaves Color Features Based on HSI Color Space
Authors: Ji Jiang Tao , Deng Ming Li , He Zhi Tao , Jia Shi Tong , Du Xin Wu , He Ya Kai , Liu Jian Jun
Published: October 2014

Tobacco is widely planted worldwide as an important economic crop. The differences of planting environment and growth status in different regions lead to different levels of tobacco quality, while color is one of the important indexes to evaluate the quality grade of tobacco leaves. Even for those that are planted in the same area, colors of different grades of tobacco leaves vary greatly, so the color of tobacco leaves is often used as the main evaluating index in tobacco leaves grading. In this paper color extraction of standard tobacco leaves based on HSI color space was thoroughly studied. H, S and I component would be quantified and extracted by using color histogram, then the average value corresponding to every color component was calculated. After extraction and calculation on the same level of standard tobacco leaves, the ranges of three color components could be obtained in HSI color space by using statistical method, and provide data information for tobacco leaves grading.
Design and Implementation of the University Online Course Selecting System Based on B/S Structure
Authors: Du Dong Ju , Shao Hai Long
Published: October 2014

of the credit system, hierarchical teaching and many other teaching implementation of reform measures, making the task of teaching and educational management arrangements become more difficult.
MOOC: Challenges and Opportunities of Higher Education
Authors: Yao Zhe
Published: October 2014

With the rapid development of information technology, various approaches are applied to higher education. Massive open online course (MOOC), as a recent development of distance education, emerged in 2012. Nowadays, the utilization of MOOC has become the tide of globalization among universities. The aim of this paper is to take a deep look at MOOC for weighing its pros and cons. The reasons of popularity of MOOC via introducing its brief history, key characteristic and major advantages are explained in this paper. In addition, challenges and limitations of existing MOOCs worldwide are presented though course structure, course grades and completion rate as well as several solutions to deal with them as far as possible.
The Application of Cloud Computing Technology in Operating System Teaching Assistant System
Authors: Yang Li Ping , Xu Da Wei , Wang Wei
Published: October 2014

Cloud computing is a model about the increase , usage and delivery of related services in Internet, usually provides dynamically scalable and often virtualized resources by the Internet. This paper first introduces the cloud computing technology, then discusses the system structure, system flow and system function, and finally expounds the cloud computing role and the realization of the examination system .
The Design and Implementation of Teaching Management System Based on .NET
Authors: Du Dong Ju , Shao Hai Long
Published: October 2014

In order to improve the efficiency and safety of the teaching information management of universities, this paper introduces the framework of the system based on ASP.NET and the main functions of each module, exploring the solutions for the key technological difficulties in the realization of the system. The system features are user-friendly, can improve the work efficiency, and have high reference value for developing other systems.
Nutrient Cycling and Balance of P for Wheat Production in China
Authors: Chuan Li Min , Zheng Huai Guo , Tan Cui Ping , Sun Su Fen , Zhang Jun Feng
Published: October 2014

In this study, the input and output parameters of Phosphorus (P) for wheat production system were collected from the year 2000 to 2011 to evaluate the nutrient cycling and balances in North Central China, the Middle and Lower Reaches of the Yangtze River and Northwest China. The results showed that the P fertilizer application rates for each region were 44.5, 39.7 and 42.3 kg P/ha, the P brought from previous crop were 14.8, 1.6 and 2.6 kg/ha, and brought from seeding were 1.5, 1.0 and 0.9 kg/ha, respectively. The P input from atmospheric deposition and irrigation were considered zero. The P uptake by harvest in above-ground plant in North Central China, the Middle and Lower Reaches of the Yangtze River and Northwest China were 41.2, 53.2 and 17.0 kg/ha. As a result, the P balance in North Central China and Northwest China were both showing surplus by 19.6 and 28.8 kg/ha, and in the Middle and Lower Reaches of the Yangtze River showed deficiency. It is suggested that we need to adjust the P fertilizer input in China, in order to maintain the sustainable soil fertility and avoid the negative impact on the environment.
A Fault Detection Model for Large-Scale Circuit Communication Systems
Authors: Duan Wen Qun , Yun Yang
Published: October 2014

In the fault detection process for large-scale circuit communication systems, the traditional method needs to exam each node to determine whether a failure exists. It is complex and needs long time which causes a certain lagging. To avoid the defects mentioned above, this paper proposes a fault detection method based on wavelet transformation that calculates the changes of coefficients of the wavelet transform and the similarity between wavelet function and the signal. This kind of fault detection can pre-process the failure might occur and effectively improve the efficiency. The experimental results approve that the proposed method can predicate the fault location and reach satisfied effects.
Changing Dimensional Feedback Correction Method of INS/GPS Integrated Navigation System Based on Lever Arm Estimation
Authors: Ma Yan Hai , Mai Xiao Ming , Wang Ke
Published: October 2014

In traditional INS/GPS integrated navigation system, whether a error state can be feedback is determined by its observability, however, in that there is no precise motion reference, it is difficult to judge whether the system is observable, therefore, which error states can be feedback is hard to determine. According to the vehicle’s maneuver’s effect on error states’ observability, a changing dimensional feedback correction method based on lever arm estimation error minimization is proposed. In the beginning phase of Kalman filtering, part of error states feedback correction was executed on a 18 dimensional error sates vector including lever arm error, this scheme runs until the difference between lever arm estimation and it’s measurement less than the setting threshold, all error states feedback correction was executed with a 15 dimensional error states model. The flying test shows that the estimation result with all error states feedback is prevail to that of part of error states feedback correction after lever arm estimation error converges. The proposed method is of great value in engineering application.
DDC Design for Multi-Frequency Receiver Based on RF Sampling
Authors: Han Chun Yang , Sun Wei , Han Gui Xin
Published: October 2014

Multi-frequency receivers rely on GNSS to achieve high-precision positioning, high sensitivity and other functions. GNSS signal frequencies are widely distributed around 1.1GHz to 1.6GHz. Good performance RF front-end receiver will provide high-quality acquisition and tracking environment, reducing the SER to ensure CNR. RF sampling technique is widely used in software radio for its simple structure, flexible configuration, and other advantages, but rarely used in satellite navigation, because the high signal carrier frequency and sampling rate, down-conversion based on RF sampling becomes a big challenge. So, to solve the problems of widely distributed we design three signal bands, using different local oscillator to implement signal down-conversion; to solve the problems of high sampling rate, we propose a down-conversion program of using a cascade of CIC filter’s ployphase and FIR compensation filter. Through the simulation of MATLAB after tracking tests, analysis of CNR and other indicators of programs. Ultimately, we implement the program with Verilog language on the multi-frequency GNSS receiver. The results show that this scheme can achieve digital down-conversion and stable performance of tracking loop with less consumption of resources.
Establishment of Mathematical Model in Evaluation of Uncertainty in Indication Error Measurement Results
Authors: Zhao Xia
Published: October 2014

Taking Model DK-52 (Grade 0.05) multi-function three-phase electrical measuring instrument calibration device as an example, the paper describes how to evaluate the uncertainty in measurement result of indication errors in mathematical model.