bluuebunny/crossref_metadata_2025 huggingface dataset:
A Neutral Framework for Feature Definition and a Generic Algorithm for Feature Recognition
Authors: Zeng De Biao , Wan Shi Ming , Zeng Chun Ling , Zheng Guo Lei , Li Dong Ming
Published: July 2014

Traditional feature recognition approaches predefine features which can be recognized in systems. Feature definitions and recognitions are characterized by the domains which the approaches are applied to. Therefore, these approaches are not generic. In order to fulfill various feature recognition requirements of different users in different domains, this paper proposes an application independent framework for form feature definition and a generic algorithm for feature recognition based on the framework. Users in different domains can define their own features following the rules of the feature definition framework according to their tasks and user-defined features can be recognized by the uniform recognition algorithm. Hence, the system is flexible and can recognize a wide range of form features in different domains. The testing results show that this approach is effective in defining and recognizing isolated features as well as interacting features.
Research of Parametric Design and outside Rearview Checking Method of Passenger Vehicle
Authors: Xing Yan Yun , Yu Bo , Yang Fang Qun
Published: July 2014

Vehicle driving safety has a close relationship with the outside rearview. In this paper, outside rearview is checked and parameterized with the method of top-down and reverse design during the course of conceptual design. The result shows that the design method of combination top-down with reverse can provide reference for design and layout of corresponding to the vehicle development,, and also can shorten the design period of time greatly.. The mutual conflict, such as layout and design, modification again and again, is resolved successfully, efficiency of design is improved at the same time.
The Design of Explosion-Proof Machine Based on Single Chip Microcomputer
Authors: Jiang Fan Wei , Hao Cheng
Published: July 2014

At present, the safety of explosion-proof protective device can't meet the need of the development of coal industry.The problems mainly display that the flameproof machine is easy to lead to the electric spark explosion which large current cause and is easily affected by underground distractions. The article puts forward a kind of intrinsically safe explosion-proof device which use related functions to eliminate interference. the device regard T I company production of ultra low power 16-bit MSP430F149 MCU as the core device which can automatically in real time detection of the leakage, overload, short circuit, over/under voltage, phase and other power grid fault and trip alarm.
Analysis Improtant Factors Influencing Driver Decision-Making Based on the Principal Component Method
Authors: Li Jia Yang , Xue Qin , Tong Jia Xing
Published: July 2014

In Intelligent Transportation microscopic study, driver's physical and psychological factors play an important role for driving decisions . Considered by static factors and dynamic factors, this paper establishes 22 the driver's car-following decision factors in hierarchy.We use principal component analysis gain that nine indicators play a crucial role in driving the decision-making.Conclusion in this article provides theoretical support for the establishment of the next drive decision-making model .
Exploration and Practice of Self-Service in University Library - Case Study of Beijing University of Agriculture Library
Authors: Xing Yan Li , Ning Lu
Published: July 2014

With a variety of new technology application in the library, the library reader self-service library user services has become the main development trends. In this paper, taking the library of Beijing University of Agriculture as an example, for self-circulation / renewal / reservation services, self-copy / print / scan services, self-reading services, audiovisual on-demand self-service, self-seat management services were analyzed and exploraed.
Applications of Industrial Ethernet in Smart Substation: Problems and Solutions
Authors: Ma Ze Ju , Zhong Jia Yong , Ma Fei , Wang Qiu Hong , Tan Qiu Ping
Published: July 2014

In view of the current network structure of the Smart Substations in China, the industrial Ethernet is analyzed with respect to the presence of long latency that may be found in the communication of Smart Substation, the configuration complexity that is not conducive to repair and the maintenance involving relatively high economic costs. A connection-oriented switching network technology is then proposed on similar issues, with a leaky bucket model being built up based on the substation information flow. Subsequently, the service classification and priority scheduling mechanism are placed to introduce the network calculus to calculate the delay bound of each of information flows. Conclusively, based on the IEC62439, a network communication method for Smart substation is established to solve the problems with the Industrial Ethernet application in smart substation.
Exploration for Identification of Sheath-Core Fiber of Ploymer
Authors: Zhu Rui Tian , Zhang Peng , Nie Feng Ming
Published: July 2014

In this paper, microscopic method, transmission technique and attenuated total reflection method of infrared spectroscopy and differential scanning calorimetry were investigated for analyzing the component of inner and outer layer of sheath-core polymer fiber. Results showed that transmission technique and attenuated total reflection method of infrared spectroscopy was a quick and accurate method for identification of sheath-core fiber of fiber.
An Evaluation of the Potential for Pharmacokinetic Interaction between Tramadol and Cytochrome P450 2D6 Inhibitor Promethazine
Authors: Liu Ping , Sun Liang , Zhang Jian , Guo Rui Chen
Published: July 2014

In this single-center, randomized, open-label, 3-way crossover study, subjects received each of the following: a single dose of Tramadol Hydrochloride Injection (THI) 35 mg, a single dose of Promethazine Hydrochloride Injection (PHI) 45 mg, and single dose of Compound Tramadol Hydrochloride Injection (CTHI) 80mg. Blood was collected and plasma was analyzed for the pharmacokinetic parameters (maximum plasma concentration [Cmax], time to Cmax [Tmax], area under the plasma concentration-time curve, plasma elimination half-life, clearance, and apparent volume of distribution) of Tramadol and Promethazine. In general, several pharmacokinetic interactions were observed between Tramadol and Promethazine in the present study.
The Design and Application of the Information Management Platform for the Prevention and Control of AIDS on the Basis of the Residents' Health Records
Authors: Shi Song He , Xiong Sheng Wu
Published: July 2014

Relying on the Acquired Immune Deficiency Syndrome (AIDS) prevention and control system of project areas and existing health information network, according to the requirements of prevention and treatment of AIDS, and the "National Norms of Basic Public Health Services" as well as the "Community Comprehensive Prevention and Control of Major Contagious Diseases Programs and Procedures" and other regulatory requirements, this project, based on the residents' health records, using B/Sstructure, SSHframe, MVCmodel, ORACLE 10.0 database, is to develop residents' health records information management platform for the comprehensive prevention and control of AIDS, and make the existing AIDS epidemic system, the hospital information management system, residents' health records and health information system interconnected. It contributes to the participation of the administrative department of health, centers for disease control and prevention, hospital and community, and easily promotes organizations to provide technical support for the prevention and control system of AIDS. The platform has been successfully run in five project regions in Henan province, and has established 2, 365, 802 residents' health records about HIV/AIDS prevention and control, produced a good social and economic benefits. Its outlook is promising.
The Application of Transformer Protection in 220KV Substation
Authors: Peng Wen Liang , Bian Wang Long , Wang Meng
Published: July 2014

This paper studies the application of the transformer protection in 220KV substation, proposed the use of the digital transformer protection device to protect the transformer. Through long-term experiments, the system is stable and high-reliability, and it can achieve effective by real-time monitoring and protect the transformer, so that the operating environment has improved radically.
Simulation of Salinity Changes Induced by Man-Made Sea Embankment
Authors: Xu Ting
Published: July 2014

Understanding the salinity transport mechanism in the estuaries is of great importance for coastal engineering, disaster prevention, water security and intertidal zone aquiculture.In this paper,the large-scale sea embankment in the Oujiang River Estuary (ORE) of Wenzhou shoal was taken as an example.Based on the intoduction of the study area,the 3D marine numerical model (EFDC) was setup and used for simulation of salinity changes induced by the embankment. The results indicated that the ORE is well-mixed estuary. The Ling-Ni Embankment designed in accordance with the flow direction makes the freshwater inflow reach far away, the salinity gradient increase, and the tongue contour reach further. The salinity difference of the north and south side of the embankment sea area is increased.
Analysis on Fluctuation Characteristics of Wind Power
Authors: Wang Yang
Published: July 2014

Fluctuation is an inherent property of wind power. Analyzing fluctuation of wind power has a significant meaning either for improving prediction accuracy of wind power or for overcoming disadvantages coming from wind power and power grid connection. Based on methods of statistics analysis and fitting, starting with a wind power plant, this paper analyzed the characteristics of probability distribution of wind power fluctuation. We selected wind power data from different sites and time scales, based on variation of probability distribution characteristics, this paper researched fluctuation of wind power under different spatial and time scales.This paper pointed out power fluctuation difference between single wind machine and the whole wind power plant.
The Power Supply Area Divided Based on Improved Voronoi Diagram
Authors: Liu Liu , Tang Xiao Bo , Zhao Cai Hong , Sha Zhen Ya , Chen Xin
Published: July 2014

This paper describes the basic principles of dipartition of the power supply area and uses Voronoi diagram on the dipartition of the power supply area. This paper put forward a model of improved Voronoi diagram based on the basic Voronoi diagram. Depending on the existing transformer substation’s capacity and power supply area surrounding the spatial distribution of the load, we determine weights based on the main transformer capacity and the spatial distribution of the load. In the process of generating the power supply area, we adjust the weights depending on different regions ofthe spatial distribution of heavy load to generate the power supply area based on improved Voronoi diagram model. Then we adjust according to the basic principles of the power supply area and the result based on improved Voronoi diagram model to generate the final result. Compared to the traditional division based on artificial experience, it can reflect rationality of the power supply, improve the accuracy of the partition.
Temperature Effect on the Hypergene Mineral Formation Process (The Case of Tailing Dumps of Komsomolsky Tin-Ore District)
Authors: Zvereva Valentina Pavlovna , Kostina Alyona , Frolov Konstantin
Published: July 2014

Physicochemical modeling of drainage water in the tailing dumps of Komsomolsky tin ore district in a wide temperature range from-10 to +45 °C obtained in the article let to find Eh-pH parameters of micropore solutions from which technogenic and hypergene minerals crystallize. The modeling was made for different ratios host rock – sulfides (95:5, 90:10, 80:20 and 60:40). Qualitative and quantitative ionic composition of the solutions was determined and their impact on the surface and ground water of the area was showed.
Evaluation of Technogenous Processes Proceeding in Tailing Dump of the Central Concentrating Mill of Dal’Negorsk District and their Effect on the Hydrosphere with Method of Physicochemical Modeling
Authors: Zvereva V.P. , Lysenko Anastasia Igorevna , Kostina Alyona Mikhailovna
Published: July 2014

Modeling allowed us to show Eh-pH parameters of the technogenic mineral formation in the mining-industrial technogenic system of polymetallic ores of Dal’negorsk district, to study the process of the hypergene mineral crystallization from solutions, to consider the qualitative and quantitative ionic composition of solutions, to show the role of hypergenesis in the contamination of surface and ground waters of the area. The aim of this work is to estimate the action of the CCM tailing oxidation on the hydrosphere of the district using the method of physicochemical modeling. The results obtained testify to a significant evacuation of a wide range of elements of sulfide ores (Zn, Pb, Cu, As, S) and enclosing rocks (Si, Al, Mg, Ca, K, Na) from the CCM tailing dumps into the surface waters polluting the hydrosphere with them.
Research on the Simulation and Realization Approach of Urban Low-Carbon Transport
Authors: Gao Xiu Li , Hu Tian Jun , Peng Peng
Published: July 2014

This paper discusses the connotation of urban low-carbon transport in detail, on the basis of the analysis of low-carbon transport. Combined with the relationship among urban low-carbon transport system elements, the article establishes the system dynamics model. Finally, it simulates the development trends of low-carbon transport in Beijing in the future, and compares the simulation results of different traffic schemes. Moreover, the study puts forward the concrete policy simulations to improve urban low-carbon transport.
The Spatial Effect Identification of Pollution Treatment Investment in China
Authors: Huang Liang Xiong , Liu Min
Published: July 2014

Pollution treatment investment is an important part of environment protection in terms of energy saving and emission reduction. A dynamic spatial panel model is constructed in this paper, identifying the spatial effect in pollution treatment investment of regions and discussing the mutual influences among different regions. The result shows a mutual positive influence and behavioral convergence regarding to the pollution treatment investment behavior among regions.
Preservative Features of the Fossils in Bauxite Deposit of WZD Area, Northern Guizhou, China
Authors: Cui Tao
Published: July 2014

It is hardly to discovery fossil from the bauxite in Wuchuan-Zheng, an-Daozhen (WZD) area, northern Guizhou, China. But the new study suggests, containing a small amount of plant debris from massive bauxite in the lower part of the ledge. Preservative features of fossils in WZD bauxite indicates: metallogenetic materials experienced a transport process; sedimentary environment is reduced; fossils only preserved in the massive bauxite, that fossils in other types of ores were destroyed in the late oxidation modification. Metallogenic environment of bauxite has experienced two kinds of state-reduction and oxidation. The lack of animal fossils; bauxite, reveal that the metallogenic environment is acidic, resulting in animal fossils are dissolved and hard to save.
Porosity Inversion under the Sequence Stratigraphy Framework
Authors: Yang Wei , Hu Ming Yi
Published: July 2014

Carbonate reef reservoir buried deeply, show great heterogeneity, Therefore, effective reservoir prediction is the key to the biohermal reservoir. In practical research, based on of the single well sequence stratigraphic framework, combined with these sequence stratigraphic framework and seismic section, found the reservoir development area in the longitudinal, which sq1-HST and sq3-HST is the main period of reservoir development, and then through the seismic Seismic multiple-attribute inversion, predicted porosity of system tracts of reservoir development in the sequence stratigraphic framework. Porosity inversion results shown, Changxing formation reservoir is mainly distributed in the central and north-central of Jiannan area.
Algorithm Study and Application of Personalized Intelligent Recommendation Engine
Authors: Pu Guo Lin
Published: July 2014

The Internet has gradually enters the life of people and the usage of information has become globalization gradually. It is now very common to get information through the network in day-to-day work. The Amount of data of Internet information grows in an explosive way in recent years, the huge amounts of information make it more and more difficult for users to find the information they need accurately; information overload lots problems become the great challenge of Internet development. As currently one of the most effective tool to solve the information overload, personalized recommendation technology help users filter information intelligently through the recommendation engine.
A Video Digital Watermarking Algorithm Based on Chaotic Maps
Authors: Li Ya Wen
Published: July 2014

The scrambled watermark is embedded in DCT coefficients of low-frequency sub image with the Brightness Component of original color image after lifting wavelet transformation. Before embedding the watermark, the image confusion method is used to eliminate the space correlation of the pixels and improves the security and robustness. The results showed that the algorithm is easy to carry out with the real-time request of video watermarking.
Study of Oxidation Degradation Eosin by Ferrate
Authors: Li Dang Sheng , Chen Xi Liang
Published: July 2014

This paper presents a comparative study of the performance of ferrate (VI) towards wastewater treatment. The effects of solution pH, reaction temperature and amount of ferrate on the eosin removal rate were investigated. Results demonstrated that increasing the amount of ferrate (VI) and low acidity leads to good removal performance of ferrate towards eosin. So ferrate (VI) is an effective reagent for dyes treatment. The reaction temperature, however, has little influence on the removal rate which may be due to the degradation effects of ferrate at elevated temperatures.
Research on Improved Staged Software Cost Estimation Method Based on COCOMO Model
Authors: Yang Hai
Published: July 2014

The accuracy of software cost estimation is essential for software development management. By introducing and analyzing the estimation methods of software cost systematically, the paper discussed the necessary of considering the software maintenance stage and estimating the software cost by separating the procedure of software development into several small stages. Then a staged software cost estimation method based on COCOMO model was proposed. The use of the new software cost estimation method proposed by this paper not only contributes to the cost control of software project, but also effectively avoids the bias problem due to using by single cost estimation method so that the accuracy of cost estimation could be improved.
Research on Customers Churn Prediction Model Based on Logistic
Authors: Jiang Min , Chu Na , Bi Xiao Ming
Published: July 2014

At present, the competition is increasingly fierce between the securities company, whether can effectively prevent the loss of users, reducing loss rate is a difficult problem at present each securities company urgently needs to solve. The model based on the principle of data mining, proposes a prediction method based on Logistic regression algorithm. Prediction model is built based on Logistic regression algorithm and the validity and accuracy of the model is verified by experiment, provides a new method and thinking for the securities company customer churn prediction.
A K-Nearest-Neighbour Based Classifier for Securities Text Categorization
Authors: Liu Tie Bin
Published: July 2014

Event-driven investments have gained great importance and popularity. Due to the importance of the timely and effective messages for successful investment, the automated categorization of documents into predefined labels has received an ever-increased attention in the recent years. This paper implements a new text document classifier by integrating the K-nearest neighbour (KNN) classification approach with the VSM vector space model. By screening the feature items and weighted key items, the proposed classifier turns the financial information text into N-dimensional vector and identified the positive and negative information, furthermore achieve to the classification optimized. In addition, the classification model constructed by the proposed algorithm can be updated incrementally, and it has great scalability in event-driven securities investment for investors.
A Fusion Method of Point-Cloud Based on Parallel Estimation of Distribution Algorithm
Authors: Jiang Ze Tao , Zhou Le , Zhou Lei
Published: July 2014

The paper proposes a new method that utilizes Parallel Estimation of Distribution (PED) to obtain disparity map of two images and fuses 3D point-cloud by the disparity. Estimation of Distribution (ED) has several advantages such as low complexity and high efficiency while it also has the shortcoming that it’s sensitive to initial samples and the final solution is local optimum but global optimum. In order to exert its merit and overcome the shortcoming, this paper will improve the ED by parallel sampling to diminish the sensitivity with Adaptive Support-Weight method. We called it Parallel Estimation of Distribution (PED). After disparity map is obtained, the two images will be divided into high frequency and low frequency by lifting wavelet respectively and the frequency coefficient of each image will be averaged into fusion frequency. Finally, the fused frequency coefficient will be transformed by inverse lifting wavelet to the final fused image. The experiment has proved that the matching speed is outstanding without losing precision.
A Multidimensional Model of Data Warehouses
Authors: Chen Zu Yi , Zhao Tai Xiang
Published: July 2014

Reducing query time by means of selecting a proper set of materialized views with a lower cost is crucial for effcient datawarehousing. The database, however, needs to be utilized more, by providing a functional environment of probability analysis. The objective of this paper is to improve the effectiveness of utilizing historical cost data in an analytical OLAP (On-Line Analytical Processing) environment. The results show that the OLAP environment can help understand the uncertainties inconstruction cost estimate, and provide a way for projecting more reliable construction costs.
Research on Psychology Data Clustering Algorithm Based on CUDA
Authors: Dong Li Li , Ma Zong Shuai , Dong Wei , Zhang Xiang
Published: July 2014

This paper analyzed the employees' MMPI Psychological data of a company. Aiming at the problem that traditional K-Means algorithm is sensitive to the initial clustering center, this paper used hierarchical clustering algorithm CURE to mitigate the problem. Finally using CUDA technology clustered several times, so as to improve the execution efficiency of the algorithm. Through experimental verification, the improved K-Means algorithm behaved well in both execution efficiency and clustering results.
Cell Selection Algorithm Based on Coordinated Beamforming
Authors: Liang Zhe , Li Yi Bing , Ye Fang
Published: July 2014

In LTE-A (LTE-Advanced) system, CoMP (Coordinated Multipoint Transmission) is used to improve system capacity and cell coverage. CB(Coordinated Beamforming), as a way of CoMP, using multi-cell coordination to improve the spectrum efficiency of edge users. Therefore, coordinated cell selection is important. To achieve better performance, multiple factors rather than a single one are considered in cell selection, channel gain as well as cell load is taken into account in the article. Multiple factors constitute a matrix to find the optimal coordinated cells, multi-objective optimization is used here. Simulation result shows system performance of the proposed algorithm is better than the one only considers channel gain.
Mean Evolutionary Algorithm Based on Intermediate Value Theorem of Continuous Function
Authors: Tan Yu Cheng , Deng Chang Shou , Liu Yan
Published: July 2014

A new Evolutionary algorithm was presented based on intermediate value theorem of continuous function. The global search ability and the local search ability of this algorithm are well balanced, and operators used in the algorithm are simple, Further, small size of population scale is used. Initial numerical experiments show that the mean evolutionary algorithm is better than differential evolution algorithm in solving high dimension function optimization.
Takeoff Performance Algorithms Analysis of EFB Based on iOS
Authors: Lu Jing , Li Qing , Zhao Bei Bei , Xiao Fang , Qiu Wei Yi
Published: July 2014

The Electronic Flight Bag (EFB) provides pilots real-time or existing data by converting the papery documents into electronic books. Consequently the efficiency and the security have been improved, which reduce pilots’ ground communication time and the paperweight. As a key factor of what influences the takeoff process, the takeoff performance undoubtedly has been an essential research task of EFB, while many factors may affect the takeoff performance, such as flap position, anti-ice and the external temperature. By means of interpolation, this paper integrates those factors and gets Maximum Take-off Weight (TOW), Take-off Decision Speed (V1), Take-off Rotation Speed (VR) and Take-off Safety Speed (V2). And then implants the result into the EFB based on the iOS.
Region Analogy-Based Quantization Method for Numerical Data
Authors: Sun Yu Di
Published: July 2014

Data quantization methods for numerical attributes play an extremely important role in handy talents statistics assessment and technology learning because discrete values of attributes are required in most classification methods. In this paper, we present an region analogy-based quantization method for numerical data. It expresses an inner coherence criterion which is thought to be as a new criterion in the ways of quantization. In addition, a heuristic quantization algorithm is proposed to achieve a satisfying quantization result with the aim to improve the performance of inductive learning algorithms. They realize criterion as well as quantifying the true value attributions exactly and reasonably. Strict experiments on UCI reflects data sets express that our supposed algorithm produces a superior quantization scheme that promotes the classification right of inductive learning than emerging quantization algorithms.
Comparison Results between Jacobi and USSOR Iterative Methods
Authors: Zhou Ting , Zhang Shi Guang
Published: July 2014

In this paper, some comparison results between Jacobi and USSOR iteration for solving nonsingular linear systems are presented. It is showed that spectral radius of Jacobi iteration matrix B is less than that of USSOR iterative matrix under some conditions. A numerical example is also given to illustrate our results.
Investor Selection Model under Uncertain Information Environment
Authors: Rao Cong Jun , Wang Cheng
Published: July 2014

In this paper, the problem of selecting investor is studied under dual uncertainty information, i.e. fuzzy information and grey information. Concretely, a new index system of evaluating the investors which includes sales capacity, management capacity, throughput, technology capacity, fund capacity, risk capacity and uniformity of enterprise strategy is designed, and then a model of dual uncertainty multi-attribute decision making is proposed. Moreover an optimization algorithm of fuzzy grey deviation degree is present to solve this model.
Synthesis and Phase Behavior of a New Thiophene Monomer as Nematic Liquid Crystal
Authors: Wang Lin , Xie Yu Jiao , Zhang Xing Xing , Hu Jian She
Published: July 2014

The synthesis of a new liquid crystal thiophene monomer of (E)-4-(6-(3-(thiophen-3-yl)- acryloyloxy) hexyloxy) biphenyl-4’-ethylbenzoate (LC-M) is presented. The chemical structure of this monomer and intermediate compounds was characterized by FT-IR and1H-NMR. The phase behavior was investigated by polarizing optical microscopy and differential scanning calorimetry. LC-M showed nematic threaded and schlieren textures on heating and cooling cycles.
A Multi-Objective Coordinative Optimization Model and its Cultural Immune Algorithm
Authors: Chang Chun Guang , Li Wan , Yin Kai , Qi Ming Hao
Published: July 2014

To improve E-Commerce recommendation efficiency for multi-consumer population, coordinative optimization problem for multi-consumer purchase is studied. Multi-objective coordinative optimization model for multi-consumer purchase in E-commerce (MCOMMPE) is established, the optimization objectives consist of maximizing purchase probability, profit, green product orientation; minimizing lost consumer number; keeping equalization among varied purchase schemes. To solve easily, MCOMMPE is transformed into single objective optimization model. Cultural Immune Algorithm (CIA) is studied, affinity degree calculating, clone selecting, antibody population space and belief space are studied in detail, and the basic steps of CIA are designed. The validity of MCOMMPE and its CIA are validated.
Routing Algorithm with Energy-Efficient and High Quality of Clusters in Wireless Sensor Network
Authors: Yi Yun Hui , Wang Run Liu
Published: July 2014

This paper proposes an energy-efficient clustering routing algorithm based on the node degree, relative distance between nodes and residual energy. Selecting the cluster head fully consider the node degree and their relative distance. By this way, the coverage performance of cluster head is better and the average distance between member nodes and cluster head is short, so the cost of communication in the cluster is decreased. At the same time, the nodes with low energy have less probability to become the cluster head. Therefore, it can improve the quality of cluster; prolong the life time of the network.
Research on an Embedded Ultra-Low-Bit-Rate Speech Coding Algorithm
Authors: Li Ye , Fan Yan Hong , Yuan Fei , Xu Xiao Mei
Published: July 2014

Ultra-low-bit-rate speech coding algorithm was in great demand for many fields such as underwater speech communications. Underwater speech communication for middle-long distance has the characteristics of narrow bandwidth as well as low transmission rate, which makes the underwater speech communication much difficult. Ultra-low-bit-rate speech coding algorithm plays an important role on this occasion. More over, it will be more flexible for the underwater speech communication system if the speech coding algorithm has an embedded structure. The paper introduced the principle of an embedded speech coding algorithm with dual rates at both 300bps and 400bps based on the enhanced mixed excitation linear prediction model. The results show that this embedded ultra-low-bit-rate speech coding algorithm has satisfactory quality under both DRT and MOS test.
Position Mobil Information Encryption Algorithm Based on Key Attributes of Reduced Rank Agent under Cloud Storage
Authors: Guo Hong Liang , Yu He Long
Published: July 2014

The location mobile social networks information privacy protection under the environment of cloud storage and data security of encryption is researched, the traditional data encryption to rank has higher in the length of ciphertext and private key attributes of large matrix, it defines the length of ciphertext data on customer privacy private property and it cannot be revoked. The encryption complexity and security are not good. An improved encryption algorithm based on key attributes of reduced rank agent is proposed, the proxy ReEncryption technology is taken, the ReEncrypt decryption scheme is designed, and private key attributes of bilinear mapping and reduced rank processing is taken, and a communication channel between the user, CSP, trusted third party and data users is established, and the algorithm is obtained. The simulation is taken for testing the customer information data for privacy protection, the simulation results show that it can ensure the length of ciphertext is relatively small, and it has low computational complexity with more security, and it has the very good practical value in encryption communication and privacy protection fields.
Simulation of Data Mining System Design in Database
Authors: Zheng Rui Ying
Published: July 2014

The design of data mining system in database is researched. Vast amounts of information contained in the database, and the data show the diversity of characteristics, resulting in lower efficiency of data mining in database, which database brought greater difficulties to information query. To avoid these shortcomings, database performance optimization method based on cloud computing is proposed. The model of cloud computing data relationship is established to describe the connection between related data inthe database, thus providing the basis for data query. The load state of data nodes is calculated to enable rapid information inquiryin the database. Experimental results show that using this algorithm to optimize data inquiry in database can improve the efficiency of informationinquiry indatabase effectively.
Research on Leaning and Evolutionary Algorithm of Agent for Task Oriented
Authors: Xu Guo Feng , Cai Yuan Wen
Published: July 2014

The leaning and evolutionary (L&E) algorithm of Agent for task oriented is deeply researched in this paper. Based on the relationship between tasks and the executive Agent, the importance of the research has been elaborated. Moreover, the algorithm is improved by considering the effect of environment and network structure. Reinforcement leaning and complex network have been introduced into the nonlinear genetic algorithm. Finally, some simulations of equipment acquisition tasks are made to test the validity and capability of the algorithm.
Studying Sensor Networks and Multicast Algorithms with TACKY
Authors: Xu Cao Cao
Published: July 2014

The refinement of gigabit switches is an unproven challenge. In fact, few biologists would disagree with the refinement of lambda calculus, which embodies the intuitive principles of networking. We explore a novel framework for the synthesis of the producer-consumer problem (TACKY), which we use to show that the foremost cooperative algorithm for the synthesis of operating systems by Sun et al. is Turing complete.
Locating Method for Character 2D Barcode
Authors: Liu Zhi , Yin Shi Chao , Ye Sheng Cheng , Zheng He Rong
Published: July 2014

This paper studies the locating method for character 2D barcode. In this kind of character 2d barcode, the solid circle is designed as the position detection patterns. The locating method for character 2D barcode is different with the traditional method for DM barcode. In this paper, according to the geometric characteristics of the solid circle, connected region regarded as suspected solid circle can be filtered through the cross method rapidly. Then the edge of connected area is detected through the shape angle and the solid circle can be found through the circularity values. Experiment results show that this method can locate the character 2D barcode rapidly and effectively.
Research on Motion Model of “Wind-Blowing & Trees-Swinging” and “Leaves-Falling & Branches-Broken” Based on Fractal Theory
Authors: Liu Hua Qun , Wang Jia , Feng Liu Ping
Published: July 2014

Fractal technology can simulate the growth of trees very well.There have been many research on using fractal theory to model trees,but most methods have not further explore the tree’s natural phenomena such as swinging driven by wind Firstly, this paper gave a modeling method to generate the trees based on the three-dimensional fractal L system; Secondly, according to the hierarchy of the strength characteristics of the wind and trees progression, this paper also gave the wind model to simulate the natural wind farm.In the end , this paper made some simulation about the model of “Wind-Blowing & Tree-Swing and Leaves-Falling & Braches-Broken” .
Using PROSEPCT and SVM for the Estimation of Chlorophyll Concentration
Authors: Lv Jie , Deng Feng Li , Yan Zhen Guo
Published: July 2014

This study focused on estimating chlorophyll concentration of rice using PROSPECT and support vector machine. The study site is located in West Lake sewage irrigation area of Changchun, Jiliin Province. Reflectance spectrual of rice were measured by ASD3 spectrometer, chlorophyll contents of rice were recorded with a portable chlorophyll meter SPAD-502. Support vector machines and PROSPECT model were adopted to construct hyperspectral models for predicting chlorophyll content. The results indicate that: the hyperspectral prediction model of rice chlorophyll content yields a maximum correlation coefficient of 0.8563, and achieves a smallest RMSE of 9.5106; and the prediction accuracy based on the first derivative spectrum is higher than on the original spectrum. Research of this paper provides a theoretical basis for large scale dynamic prediction of rice chlorophyll content in sewage irrigated area.
Newly Determined Crystal Structure and Optical Property of the Intermetallic NiAl and Ni3Al Alloys: A First-Principles Computer Simulated Investigation
Authors: Xu Chao , Chen Dong
Published: July 2014

Using quantum mechanics plane-wave approach based on the density functional theory, the lattice constants of NixAl at different Ni concentrations (x=1, 3) are predicted. Optical properties such as dielectric function, energy loss function and reflectivity are also investigated. Results show that with the increase of Ni constituent, the location of the peak in loss function moves to the lower energy region, but the peak height increases. At 0eV, the reflectivity increases rapidly with the Ni concentration. The reflectivity of NiAl and Ni3Al are pronounced in the UV region (not in the visible light region). The dielectric properties, namely the real and imaginary parts of the dielectric function, changed significantly with Ni constituent.
Study on Modeling of the Minimum Lethal Dose while Rescue Poisoning
Authors: Zhao Cui Xin , Jiang Yue , Yang Hao , Cui Meng Tian
Published: July 2014

The minimum lethal dose of the children and adults taking aminophylline tablets and severe poisoning is discussed in the paper. Linear differential equations and function image are both introduced to analysis timely rescue methods of the human during poisoning. Meanwhile, modeling is provided and the model solution is given. In the end, the simulation results showed the fatal time of the smallest dose and effective rescue when taking aminophylline poisoning.
A Method of Domain Compound Concept Extraction Based on Multilevel Filter
Authors: Wu Bin , Ouyang Liu Bo
Published: July 2014

Identification and extraction in domain compound concept is the basis of the domain text information processing. This paper builds a multilevel filter extraction model by fusing the thought of statistics and language rule. Firstly, the extraction model screening out domain atomic concept set by using method of improved TF-IDF. We secondly build a space combination rule, screening out initial domain compound concept set. Ultimately we screening out finally domain compound concept set by using POS rules template matching via POS analysis. Experiments show that this method can effectively identify and extract domain compound concept and F-measure has reached 83.9%.
Development and Application of the Screw Separator
Authors: Yin Jing Bo , Lu Jing , Zhao Li , Wang San Si
Published: July 2014

This article describes the research and development with the international advanced level of the screw separator, mainly used for the cleaner tailings fiber and the wastewater recycling and the use of stand-alone concentrated effect, into the plasma concentration of more than 0.5%, themaximum slurry concentration up to 60%, the device uses a unique control mechanism, without the power consumption will be able to achieve the automatic control of the plasma concentration, can efficiently remove moisture, recycled fiber, conservation of resources.
1Overview
In pulping process,it will produce a certain amount of waste residue, also known as tailings. The tailings contain a large number of moisture content and fiber. Now, stacked tailings of many enterprises are in the outdoor. Severe pollution caused by a lot of stacked tailings, which don't do process.Loss of water and fiber caused great waste to the enterprise. To draw lessons from foreign advanced technology, it will design and develop the screw separator with advanced level at home and abroad, mainly used for the cleaner tailings fiber and the wastewater recycling. The current domestic pulp manufacturers don't do process tailings, direct discharge away, which is no processing equipment. So the development of the screw separator will fill the domestic blank.
Research on the Evaluation Method of OSHMS Performance Based on Fuzzy Theory
Authors: Zhou Huan Ming , Hu Dong Tao
Published: July 2014

Hierarchy evaluation system has been established through a phased analysis of functional properties of OSHMS system, based on four aspects: the file system specification, and the actual business integration, system scheme enforceable, the continuous improvement of the development. Quantitative performance evaluation results has been obtained by building Occupational Safety and Health Management System performance evaluation model through fuzzy theory. According to the rated existing occupation safety and health management system problems, suggestions for improvement are given.
IBC-Based Authentication Protocols and a Method of Data Sharing for Cloud Systems
Authors: Chen Kang Kang , Cao Chen Lei , Liu Jian Yi , Zhang Ru
Published: July 2014

In Recent years, the rapid development of cloud computing promotes the technological innovation. In the meantime, the security of cloud attracts many researchers. In this paper, a security architecture is proposed to provide a trust communication mechanism between entities in the cloud. Based on this security architecture and BFIBE, three security protocols are proposed to implement mutual authentication and key agreement, which can resist man-in-middle attacks and masquerading attacks. Besides, based the three protocols, an effective data sharing method is proposed.
Adaptive Discriminant Linear Local Tangent Space Alignment Algorithm on Face Recognition
Authors: Lv Yuan Xing , Deng Yan Ni , Shi Yuan , Li Qiang , Peng Wen
Published: July 2014

This paper proposes an adaptive discriminant linear local tangent space alignment algorithm DALLTSA. On the basis of LLTSA algorithm adding adaptive and discriminant gets DALLTSA.DALLTSA not only combines characteristics in DLLTSA that maintain the local geometry and meets the maximum between-class scatter matrix, but also dynamically selects K-neighbor better to reflect the degree of polymerization between samples. Finally, the face recognition experiments based on Gabor [1] filter and DALLTSA shows that this algorithm improves the recognition rate and robustness.
Augmented Lagrangian Method for Nonlinear Programming with many Complex Constraints
Authors: Jiang Xiao Wei , Yang Yue Ting , Lu Yun Long
Published: July 2014

A method of multiplier is presented for solving optimization problems. For large-scale constraint problems, combining the active set strategy, we use the aggregate function to approximate the max-value function. Only a few of functions are involved at each iteration, so the computation for gradient is significantly reduced. The numerical results show that the method is effective.
Detecting Epistasis by LASSO-Penalized-Model Search Algorithm in Human Genome-Wide Association Studies
Authors: Zhou Zhi Hui , Liu Gui Xia , Su Ling Tao , Han Liang , Yan Lun
Published: July 2014

Extensive studies have shown that many complex diseases are influenced by interaction of certain genes, while due to the limitations and drawbacks of adopting logistic regression (LR) to detect epistasis in human Genome-Wide Association Studies (GWAS), we propose a new method named LASSO-penalized-model search algorithm (LPMA) by restricting it to a tuning constant and combining it with a penalization of the L1-norm of the complexity parameter, and it is implemented utilizing the idea of multi-step strategy. LASSO penalized regression particularly shows advantageous properties when the number of factors far exceeds the number of samples. We compare the performance of LPMA with its competitors. Through simulated data experiments, LPMA performs better regarding to the identification of epistasis and prediction accuracy.
A Study of the Keep-Right-Except-to-Pass Traffic Rule on Cellular Automata
Authors: Cao Wen Bin
Published: July 2014

Traffic rule is set to enable the safety and efficiency of the traffic. This paper takes the keep-right-except-to-pass rule as the research object. A three-lane cellular automaton model is proposed to simulate traffic flow. Through computer simulating, we analyze the relationships among traffic flow, overtaking ratio, average speed and density. The result shows that the rule although can increase the traffic flow and the average speed, the effect is not very evident, while this rule instead can increase driving safety in a large scale.
Efficient Simulation for Dynamic Systems with Discontinuities
Authors: Yuan Qiong
Published: July 2014

In many techneques for handling discontinuities, the presence of a discontinuity is detected by a change of sign in the value of a discontinuity function. This paper discusses the problems caused by this sign rule of detecting discontinuities for some engineering applications, and describes an alternative which uses a change of the state marker value .The modified program with Runge-Kutta-Merson and Gear integration subroutines have been successfully applied to the simulation for mechanical, electrical and other dynamic systems with discontinuities for which the original program is inefficient.
Simulation Research on GM Navigation Based on AFSA
Authors: Zhu Zhan Long , Yang Gong Liu , Li Jing , Yang Shu Jie , Liu Yuan Yuan
Published: July 2014

Geomagnetic matching (GM) is a new developmental technology in recent years. For resolving the cumulate errors of position, velocity, attitude in an inertial navigation system (INS), utilizing artificial fish swarm algorithm (AFSA) to carry on GM is proposed, and then the attained matching position regarded as measurement of filter to achieve the emendation of INS. Firstly, affine transformation model between inertial and real trajectories is displayed and the principle of INS/GM is explained. Secondly, the state of artificial fish (AF), distance and food consistence are defined afresh, and then the flow chart based on AFSA is given. Lastly, simulation analysis is performed in actual geomagnetic reference map (GRM). The results show that the algorithm actualizes the GM when the inertial system exist position, velocity and attitude error, that is the algorithm got the optimized global solution, with that, the data fusing is finished with the results that not only reduce error evidently but also verify the validity and feasible of the algorithm.
Moving Vehicle Detection Scheme Using Edge Information and Background Subtraction in YCbCr Color Space
Authors: Yu Wan Xia , Su Jing
Published: July 2014

In this paper, we propose the spatial domain based vehicle detection scheme. This proposed scheme combines the Sobel edge detection method with background subtraction in YCbCr color space. The scheme detects the vehicle in Y(Luminance), Cb and Cr (chrominance) components of the vehicle image using background subtraction and combines the three images. Edge detection method determines edge information of the luminance component of the vehicle image. The image combined with edge detection and background difference is implemented filling and filtering operation. The robustness of the proposed scheme is analyzed considering different types of vehicle image.