bluuebunny/crossref_metadata_2025 huggingface dataset:
Alphabet Computer Automatic Clarity Algorithm
Authors: Cao Min
Published: May 2014

The alphabet computer recognition methods are widely applied in many areas. The clarity of the alphabet is first key step. This paper proposes a kind of image clarity algorithm for alphabet. The key frames in the surveillance video are analyzed in frequency domain to identify the key parameters causing alphabet illegibility and restore the surveillance video. The experiment results illustrate the algorithm can well restore the key frames of the alphabet in the video which can be widely applied in the vehicle plate recognition.
Research on the Route Search Method Based on Ant-Colony Microcanonical Annealing Algorithm
Authors: Yu De Xin , Zhao Xin , Zheng Kun
Published: May 2014

The paper proposes a large-scale route search method based on bidirectional ant-colony microcanonical annealing algorithm, which adopts double search. The underlying idea is to verify the proposed path search method under the real road network of Changchun city. The paper uses matlab to encode algorithm and adopts Mapinfo software mapping network for contrastive analyzing the proposed path search method and classical algorithm. The results demonstrate that the proposed method is larger advantage in running time and the global optimal solution, which has a good practicability.
Research on Alkali-Activator and its Effects on Mechanical Properties of Slag-Based Geopolymer at early Age
Authors: Chen Li Shun , Chen Xiao , Xu Jian Tong , Yang Zhong
Published: May 2014

This report studied the influence of effects such as type, modulus, dosage of the alkali-activator on mechanical properties of slag-based geopolymer. The analyzing results indicate that compare to the Na2SiO3, K2SiO3has significant activate effects on slag-based geopolymer. The modulus and dosage have obvious significance on early compression strength of slag-based geopolymer. With the increase of modulus, its early compression strength has apparent increase. With the increase of dosage, its early compression strength increase firstly and then decrease. When the dosage is 12%, the compression strength of the material is highest. The change of modulus and dosage of the alkali-activator has little influence on flexural strength of slag-based geopolymer. With the increase of dosage, its ratio of flexural to compressive strength has a downward trend. And the material brittleness addition.
Statistical Characters Analysis of LF Atmospheric Noise
Authors: Wu Yan Jun , Fu Gang , He Qian
Published: May 2014

In low frequency (LF) communication, the main factor of affecting property of LF communication system is the atmospheric noise caused by lightning phenomenon. Amplitude probability distribution of this atmospheric noise is with non-Gaussian characters seriously. Due to influence of various factors, such as occurrence time, physical location and seasons, making analysis of LF atmospheric noise on the receiver communication performance becomes more complex. Therefore, the study of characteristics of atmospheric noise amplitude probability distribution is necessary. In this paper, Firstly, we are on the assumption that the amplitude probability distribution characteristics of atmospheric noise obey Alpha stable distribution; then introduce the Alpha stable distribution model; Finally, we use probability distribution function (pdf) and Quantile-Quantile (Q-Q) plot fitting for Alpha stable distribution according to real LF channel noise data acquired by a high sensitive superconducting quantum interference device (SQUID). Simulation results show the assumption is correct.
The Equilibrium Existence Theorem for Systems of General Quasiequilibrium Problems in GFC-Spaces
Authors: Wen Kai Ting , Li He Rui
Published: May 2014

In this paper, the GFC-KKM mapping is introduced and a GFC-KKM theorem is established in GFC-spaces. As applications, a matching theorem and a maximal element theorem are obtained. Our results unify, improve and generalize some known results in recent reference. Finally, an equilibrium existence theorem for systems of general quasiequilibrium problems is yielded in GFC-spaces.
A Method of Feature Selection of Voice Content Classification Based on Analysis of Variance in Orthogonal Experiments
Authors: An Si , Fan Xin Hua
Published: May 2014

In view of the performance of dividing the audio category is closely related to the speech feature parameters selected,a systematic and practical characteristic parameter selection method is presented,orthogonal experimental design method based on analysis of variance.This method has better characteristic [1],the construction of the experiment is simple and the result is easy to analysis,it’s also has directive function to the subsequent experiments.We first do the feture parameters and the level selection,then select amount of appropriate points with representative and typical from a large number of experimental points to construct the orthogonal table to do a analysis of variance by mathematical statistics and orthogonal principle,finding the optimal feature combination. In this pater,the experimental corpus that is voice content is divided into two categories,the kind of traffic and the legal category.Comparing the experimental results shows that the method is not only effective to do feature parameter selection in voice content classification but also has direct meaning to the subsequent experiment design and research.
Application of the Average Rank Time Method in Parameter Estimation for Fixed-Time Censoring Experiment
Authors: Meng Shu , Shen Gui Xiang , Zhang Ying Zhi , Sun Shu Guang , Song Qi
Published: May 2014

In this paper, the parameter estimation problem of products which are mutually independent and whose life belongs to two parameters Weibull distribution in fixed-time censoring experiment is discussed. And the rank of failure data is corrected by average rank time method, when the censoring experiments appeared. It is found that the method not only achieves the same effect for likelihood function theory, but also has the characters of high precision, simple process, no programming calculation, when model optimization is done by correlation index method. Finally, take field test data of a machine tool as an example to introduce the specific application process of this method, in order to verify the effectiveness and practical applicability.
Research on Optimal Routing Algorithm with End-to-End Delay Bounded
Authors: Li Yuan Chen , Liu Wei Qun
Published: May 2014

This paper researches the problem of minimization of delay under the multicast end-to-end delay bounded and presents a new multicast routing algorithm. This algorithm using anew strategy based on Optimized_Floyd algorithm modifies the paths from the source node to the destinations, the nodes whose delay are smaller than the average achieves a new delay as big as possible and the nodes whose delay are above the average achieves a new delay as small as possible. So it also offers a good balance between tree cost and delay. Simulation results show that the algorithm has low cost, less time complexity and good comprehensive performance, can be used in actual network environment.
Optimizing Gate Assignments at Airport
Authors: Zheng Pan , Li Jing , Liang Ying Hui
Published: May 2014

Airport gate assignment is to appoint a gate for the arrival or leave flight and to ensure that the flight is on schedule. Assigning the airport gate with high efficiency is a key task among the airport ground busywork. As the core of airport operation, aircraft gate assignment is known as a kind of complicated combinatorial optimization problem. In this paper, we consider the over-constrained Airport Gate Assignment Problem where the number of flights exceeds the number of gates available, and where the objective is to minimize the overall variance of slack time (OVST). According to the intrinsic characteristics of the objective function itself, we design a meta-heuristic method and simulated annealing to solve the problem. Finally, the illustrative examples show the validity of the proposed approach.
Design on Diffuse Optical Instrument Based on Computer Simulation Technology
Authors: He Li Hua
Published: May 2014

Using new science and technology, art design embodies the times characteristics and the rich connotation based on visual communication. With the progress of science & technology and crossing with other areas, this field has gradually formed a new one, which has association and interaction with other visual media. Based on the times characteristics of the art design, we analyze the current mainstream of 3D design, and analyze the features of space rendering integration. On the basis of this, we further explore the translation transform and rotation transformation principle of 3D design, and construct diffuse reflectance model based on design flow of 3D image. We use computer to verify the performance of the teaching practice and education stability, it has strong operability.
A Bound on Discrimination of Quantum Operations
Authors: Li Lv Jun
Published: May 2014

We present a bound for estimating the minimum-error probability of ambiguous discrimination between any m quantum operations. There are only Kraus-operators and aprioriprobabilities of the discriminated quantum operations in this bound, and which has nothing to do with the input states. To a certain extent, we generalize the bound on the minimum-error probability for ambiguous discrimination from mixed states to quantum operations.
Limit-Cycle Oscillation of High-Aspect-Ratio Wings
Authors: Xiao Yan Ping , Yang Yi Ren , Li Peng
Published: May 2014

In this paper structural equations of motion based on nonlinear beam theory and the unsteady aerodynamic forces are gained to study the effects of geometric nonlinearity on the aerodynamic response of high-aspect-ratio wings. Then the Galerkin’s method is used to discretize the equations of motion. The results of HALE wing show good agreement with references. And other results investigate the effects of geometric structural nonlinearity on the response of a wing. Also the complex changes of the limit-cycle oscillation with speed increasing is carefully studied.
The Structure and Properties of Sulfo-Butylated Celluluse Ether (SBC) Based Water-Reducing Agents
Authors: Maimaiti Halidan , Aerken Xuekelaiti
Published: May 2014

Abandoned cellulose was treated with acid to prepare Micro-Crystalline Cellulose (MCC) holding affirmative polymerization, which was then treated with 1,4–butanesultone (BS) to synthesize water-soluble Sulfo-Butylated Cellulose ether (SBC). The structure of the SBC was characterized by means of FT-IR, 1H NMR, SEM, and XRD, and its relationship to function was investigated based on the polymerization of MCC and Degree of Substitution (DS). SEM images of hardened cement were also studied. The results indicated that when the polymerization of the MCC was smaller than 96 and the DS greater than 0.375, SBC exhibited water-reduction. When sulfonated cellulose was mixed into the cement paste, its retarding effect slowed hydration early in the aging process, so that later the structure of hardened cement paste became more uniform and compact than that of control.
Robust Estimation Peculiarity of Robust Estimation Methods in Observations to Obey Generalized Gaussian Distribution
Authors: Xing Peng Fei , Ge Yong Hui , Li Yan
Published: May 2014

Robust estimation method in generalized Gaussian distribution of observations under obedience can effectively eliminate or reduce the influence of gross errors, however, peculiarity of different estimation methods are not the same. In this paper, it’s used simulation method, the commonly used 13 kinds of robust features robust estimation methods were compared. The results showed that: L1 method, Danish method, German-McClure method and IGGIII program is more efficient robust estimation methods in Observations to obey generalized gaussian distribution, which method is more effective than other commonly used to eliminate the impact of robust estimation of gross errors or weaken .
Flow Time and Tardiness Based on New Scheduling Rules for Dynamic Shop Scheduling with Machine Breakdown
Authors: Zhao Fu Qing , Li Ning
Published: May 2014

In this paper, a comparative study on the performance of scheduling rules in job shop. Four new dispatching rules are proposed. mean, maximum ,variance of tardiness and proportion of tardy jobs have been used to evaluate the performance of various scheduling rules. Breakdown level, shop load level was considered in the comparative study. The simulation result indicate the performance of dispatching rules is being influenced by Breakdown level, shop load level.
Early Warning Model and Simulation of Network Cognition Based on Sampling Sequence of Sine Function
Authors: Li Xue Chang
Published: May 2014

Under the background of a great boom in contemporary culture, network culture has rapidly developed into a form of manifestation. Groups of college students as the most active use of network source also makes the network culture gradually permeate the campus, which has made a great influence on moral cognition of college students. Based on the background of current large network culture, this paper firstly analyzes the situation of network utilization by college students. Then we find that the construction of early warning model of moral cognition for college students is imminent. And we construct the early warning model of moral cognition by using the algorithm of sine function model. In order to verify the practicability of the model, we use the interactive multi-model simulation analysis, and the results indicate that the model has a strong practicality, and has a very good controllability, which has a positive role in promoting the education of moral cognition for college students.
An Effective Spectrum Sensing Method Based on Maximum Eigenvector
Authors: Du Rui Yan , Liu Fu Lai , Wu Ya Ping
Published: May 2014

Spectrum sensing is a fundamental problem for cognitive radio system as it allows secondary user (SU) to find spectrum holes for opportunistic reuse. This paper presents a new spectrum sensing method based on the data stacking technique (temporal smoothing technique) and power method. The “maximum eigenvector” is used to detect the spectrum holes. Compared with the previous works, the proposed approach can provide better performance, such as higher detection probability in the lower signal-to-noise-ratio (SNR) scenario, etc.
A Network Selection Algorithm with Parallel Transmission Based on MADM
Authors: Zhang Li Na , Zhu Qi
Published: May 2014

At present, most of researches on network selection algorithms are focused on single access. To support seamless mobility and provide better quality of service in heterogeneous wireless networks, this paper proposes a network selection algorithm with parallel transmission based on MADM. In the algorithm, we firstly determine all available wireless networks and consider every subset of these networks as a network scheme. Then we obtain aggregation attributes of every scheme and determine the alternative network schemes. Finally, we build the decision matrix of multiple attributes and determine the optimal scheme by using GRA. Simulation results show that the proposed algorithm can obviously improve user quality of service, improve user throughput, reduce power consumption and price cost per bit.
Algorithm to Promote Efficiency and Accuracy of Advertisement on Social Network
Authors: Tian Jun , Le Cheng , Gao Jin
Published: May 2014

Network Community like Sina Weibo platform and Facebook website spend much time and money into provide users with appropriate advertisements. There exits great space to improve the current situation that users receive much news they don’t like, and change the situation that server need to push news to all users who are interested in certain product. This algorithm based on Friendly Value enables server to push news to only some of the users and the rest will see them by forwarding among these users. Algorithm clarify the relationship between users. Making it like a graph. Algorithm tested more than 2,000 users from Sina Weibo using crawler, and find that, when we get a group of users who show interests in a certain product, algorithm can help to shrink this group to an accurate number of users, and by these users, the whole group will see the news of this certain product, thus decrease time and resources on server. We invented Friendly Value which reflect user’s enthusiasm on Internet in terms of publishing and making comments to help us do the research. Modified similarity is also used to find users who are interested in certain commodity but not important part in this article.
Application on Query of Distributed Database Based on Improved Genetic Algorithm
Authors: Chen Fu Xing , Xie Xu Sheng
Published: May 2014

The query cost usually as an important criterion for a distributed database. The genetic algorithm is an adaptive probabilistic search algorithm, but the crossover and mutation probability usually keep a probability in traditional genetic algorithm. If the crossover probability keep a large value, the possibility of damage for genetic algorithm model is greater; In turn, if the crossover probability keep a small value, the search process will transform a slow processing or even stagnating. If the mutation probability keep a small value, a new individual can be reproduced difficultly; In turn, if the mutation probability keep a large value, the genetic algorithm will as a Pure random search algorithm. To solve this problem, proposed a improved genetic algorithm that multiple possibility of crossover and mutation based on k-means clustering algorithm. The experiment results indicate that the algorithm is effective.
Gravitational Particle Swarm Optimization Localization Algorithm for Wireless Sensor Network Nodes
Authors: Zhou Shu Wang , Shu Ming Lei , Yang Ming , Wang Ying Long
Published: May 2014

A range-based localization approach which named gravitational particle swarm optimization localization algorithm (GL) has been proposed. This algorithm considered the influence from the position of anchor nodes to the localization results, GL can directly searched out the coordinates of unknown nodes by the distance from anchor nodes to unknown nodes. As is shown in the experiment results, GL not only has high positioning accuracy, but also overcomes the defect that location error increases rapidly as the ranging error increases, compares with normal schemes (such as method of least squares, ML ) GL’s accuracy can improve 40% as the ranging error is 35%.
Simulation Studies in Body Surface to Body Surface Channel Models
Authors: Xie Yong Gang , Shen Dong Ya
Published: May 2014

The study of the characteristics of WBAN channel model is crucial, due to the fact that it is an important step to design wireless body area network (WBAN). WBAN channel models are so different from the traditional mobile channel models and there are few publications on them. In this paper, we studied the statistic characteristics of the WBAN channel based on the IEEE 802.15.6 models. We focus on body surface to body surface circumstance, simulated the path loss models on 400, 600 and 800MHz and studied the statistic characteristics of the path loss models. Finally, we used the Guass model to fit the statistic results of the path loss and obtained coefficients of Gauss model .
The Application of a Improved Hybrid Ant Colony Algorithm in Vehicle Routing Optimization Problem
Authors: Li Yue Li , Ren Ai Hua
Published: May 2014

With the development of the market economy, the logistics industry has been developed rapidly.It is easy to understand that good vehicle travel path planning has very important significance in the logistics company,especially in the general production enterprises. This paper mainly studies the microcosmic traffic system in the type of vehicle routing problems: capacity-constrained vehicle routing problem. We demonstrate the use of Ant Colony System (ACS) to solve the capacitated vehicle routing problem, treated as nodes in a spatial network. For the networks where the nodes are concentrated, the use of hybrid heuristic optimization can greatly improve the efficiency of the solution. The algorithm produces high-quality solutions for the capacity-constrained vehicle routing problem.
Research on DSP Embedded Digital Signal Processing System for Ship Navigation Radar
Authors: Deng Shu Zhang
Published: May 2014

Development of digital signal processing and embedded technologies today, to the development of radar technology has brought new opportunities. Relative to the simulation of radar, digital radar has good performance, features, ease of operation, and other benefits. Design based on embedded processor and digital signal processor (DSP) dual processor shipboard navigation radar system, and focuses on digital shipborne navigational radar system architecture, hardware design and software algorithms for digital signal processing module, gives the overall scheme for DSP systems.
Creating the Bag-of-Words with Spatial Context Information for Image Retrieval
Authors: Li Zhen Wei , Zhang Jing , Liu Xin , Zhuo Li
Published: May 2014

Recently bag-of-words (BoW) model as image feature has been widely used in content-based image retrieval. Most of existing approaches of creating BoW ignore the spatial context information. In order to better describe the image content, the BoW with spatial context information is created in this paper. Firstly, image’s regions of interest are detected and the focus of attention shift is produced through visual attention model. The color and SIFT features are extracted from the region of interest and BoW is created through cluster analysis method. Secondly, the spatial context information among objects in an image is generated by using the spatial coding method based on the focus of attention shift. Then the image is represented as the model of BoW with spatial context. Finally, the model of spatial context BoW is applied into image retrieval to evaluate the performance of the proposed method. Experimental results show the proposed method can effectively improve the accuracy of the image retrieval.
Design of Mobile Terminal Multimedia Communication System in Intelligent Community Based on SIP
Authors: Huang Lian Fen , Lin Jin Feng , Huang Zhi Chao , Chen Qing Yue , Lin He Zhi
Published: May 2014

With the development of network technology, mobile smart devices and application technology in intelligent community. Mobile smart devices play an increasingly important role in future in intelligent community. Traditional fixed terminal mode in intelligent community will be increasingly evolved into the mobile terminals. Considering the current situation and weakness of intelligent community system and combining with its future trend, this paper comes up with the design and implementation of mobile terminal multimedia communication system in intelligent community based on SIP, STUN in android platform.
Signal Denoising Based on Slip Threshold Value of Wavelet Packets
Authors: Li Can Jun , Yang Qiu Fen , Zhou Shu Ren , Li Zhen Jun , Yang Xian Lin
Published: May 2014

The signal obtained through measurement is inevitably with noise and interference. Traditional signal denoising method often takes the threshold way to process the wavelets or wavelet packets of noise signal for the purpose of denoising. Denoising by making use of slip threshold value of wavelet packets is proposed by this paper, to quantize the slip threshold value of wavelet packet decomposition coefficient, so as to obtain the reconstructed signal denoising. It is shown by the computer simulation results that the slip threshold value is with good practical value.
Analysis on Weak Signals with Short-Time Fourier Transform Method
Authors: Yu Qi Da , Li Ya Lin , Wang Jin
Published: May 2014

To make easy for the operators on the work of analyzing the weak signals, at the same time, for the purpose to improve unskillful operators analyze ability and diagnostic efficiency, at last to get the goal of fast diagnostic. Methods: We recommend STFT theory, then analyzed algorithm to design the programs by the way of LabVIEW2011, at last we realized to change one-dimensional weak signals into the form of intensity maps, which owns obvious recognition feature. Results: We have successfully used programs to realize the analysis on intensity maps, and also simplified judgmental process on illness. This method improves efficiency. Conclusion: Using the method described above can achieve the goal for improving the analysis method, it may work well as we thought before.
A 3D Dynamic Face Recognition Method Based on Computer Vision
Authors: Zeng Bo Xia , Li Wen Feng
Published: May 2014

The non-rigid 3D characters recovery technology for 2D images array is affected by background diversity, motion complexity, data losing and noise of feature points, so the recognition and recovery accuracy of facial features deformation is low. Due to the high error in traditional method, the paper puts forward a 3D facial recognition algorithm based on random images array, which converts the 2D features to 3D by nonlinear mapping, and completes the recognition on foundation of 3D geometric features distance. The experimental results show that the method effectively reduces error and improves recognition effects.
The Reconstruction for Han Dynasty Stone Images Based on Three-Dimensional Vision
Authors: Pan Guang Dong
Published: May 2014

Mainly studying the three-dimensional reconstruction for multiple Han Dynasty stone images, this paper proposes a 3D reconstruction algorithm based on two images. The author analyzes the basic principle of SIFT matching points detection according to Epipolar geometry constraints and projective transformation of images in 2D plane, and establishes mathematical model for the 3D reconstruction on foundation of sequence images. The feasibility of 3D reconstruction based on the sequence images is approved by simulation for three gray-scale Han Dynasty stone digital images which provides a new research way for identifying the feature of a target by the camera.
Extraction of Image with Complex Noise Based on Wavelet Analysis and Morphology
Authors: Hua Xing Yan
Published: May 2014

The spatial filter and wavelet filter were used to denoise the image with much complex noise. The mathematical morphology and threshold segmentation were integrated to detect the image edge. Based on comparison between the method given in this paper and the traditional methods, the new method can result in satisfying image processing result. The detecting precision is high. Also, the noise resistance is very good. The detected edge outlines are continuous, smooth and integrated. Moreover, the operation time is less.
Fast and Robust Personal Identification by Fusion of Finger Vein and Finger-Knuckle-Print Images
Authors: Yang Wen Ming , Li Yi Chao , Liao Qing Min
Published: May 2014

Finger vein and finger-knuckle-print have been studied for personal identification. Methods utilizing direction and location of finger veins have achieved promising performance. However, it is sensitive to quality of finger vein images and it is slow. In this paper, we develop a fast and robust algorithm for person recognition using a coarse-to-fine classifier. 2DPCA is used for coarse selection of k nearest candidates. To increase the robustness of the algorithm, a candidate person is selected when either its finger vein or finger-knuckle-print is near the corresponding test sample. Competitive coding schema is then conducted on the n (n <= 2k) candidates and test images for final classification. Experimental results show that our method is faster and achieved comparable recognition rate with state-of-the-art methods.
Soft Demodulation of PCM/FM Signal Based on MSD Research
Authors: Fu Gang , Wu Yan Jun , Feng Yue
Published: May 2014

To improve the performance of the system PCM/FM, this paper used the multi-symbols detection (MSD) technology. Firstly PCM/FM in hardware demodulation in a series of problem, introduces MSD software demodulation method. Then the MSD in low SNR environments of a synchronous implementation. The algorithm simulation indicates that the detection performance than the traditional incoherent algorithm is popularly used increased nearly 3 dB at the bit error rate in 10-4 place. Performance is very ideal.
Hole Quality Analysis in Helical Milling of CFRP
Authors: Wang Hai Yan , Qin Xu Da
Published: May 2014

Carbon fiber reinforced plastics (CFRP) are highly promising materials for the applications in the aerospace industries, but they are typical difficult-to-cut material. In order to improve the quality, helical milling technology was developed. In this study, helical milling experiments were conducted in the machining center about CFRP materials. The hole quality including the surface roughness, the diameter error and the roundness error are analyzed. The result shows that the hole quality was improved corresponding to drilling technology.
Analysis on the Stability of Hydraulic Support in Great Tilt Angle Mining Face
Authors: Huang Qing Qing , Zhang Qiu Jie
Published: May 2014

The hydraulic support is mainly used in roadway and workplace for supporting and protecting in mining industry. The hydraulic support would appear the situation of declining, dumping and crowding on greater tilt angle mining face, these will threat the safety of the workplace, the safety of mining face is the key to the safety in production. This paper analyzes the reasons of declining, dumping in static force, gives respectively the angle range of working surface hydraulic support declining and dumping, proposes some relevant measures of the hydraulic support declining and dumping.
The Research on Reusable Expression and Rules of the Business Component
Authors: Xia Yao Wen , Xie Ji Li
Published: May 2014

Component library as a component of assets classification and management of infrastructure becomes more and more important, in the practice of component quantity increasing, component is updated according to the technology and the field evolution, to search for suitable in numerous artifacts climb hydrophobic component must establish the effective component of said mechanism and the feasible component library management system. Business component is a fusion of business objects and components, is a business object software realization of the autonomy of business concepts and reusable software unit. An ordered set of business component, constitute the basis of the actual business activities. This paper proposes a framework based on component representation method, and put forward the major methods based on the use of business component to adapt to the change of the process, so as to realize the reorganization of business processes.
Researching the Model of Semantic Web Service Composition Based on Qos
Authors: Li Ying Fang , Liu Kun , Yang Bo
Published: May 2014

At present, a single Web service provide function is very limited, which can't meet the real life complex application requirements, so need to combination the single Web service. This paper presents a model of semantic Web service composition based on QoS, non-functional attributes to quantify its service performance, makes service quality protocols can be set up between service providers and services requester, meet the quality of service of the service requester personalized needs.
A Web Tools for Molecule Visualization System Based on HTML5 and WebGL
Authors: Huang You Liang , Zhou Ming Quan , Deng Qing Qiong
Published: May 2014

This paper presents a solution for molecular visualization. Many 3D visualization tools, most of which require local installation, some are extremely generic and powerful like Amira 3D or Blender. However, these tools are not handy and not typically oriented towards a non-scientific audience. Our goal is to design and develop a web tools for Molecule Visualization System based on HTML5 and WebGL. The tool provides an interactive visualization for molecule. After a similar set of experiments, the result shows that the tool is feasible and practicable.
The Study on the Methodology of Transactionevent in the Ale of Rfid Networks
Authors: Zhao Hui Qun , Yang Hai Gang
Published: May 2014

TransactionEvent is one of the five events defined in EPCGlobal standard. As TransactionEvent lasts for a long period and processes large data, it has a higher demand of real-time. The process of the TransactionEvent in the Internet of Things is complex. In order to overcome these disadvantages, this paper proposes a non-integrated program. This program will ensure the TransactionEvent processing efficiency, reliability and real time. In the end of this paper, the article will implement a prototype system of a commercial IoT to verify this method.
A New Hybrid Storage System Base on Openstack
Authors: Wu Ding Wei , Wu Qiang , Fu Xi Cheng , Ye Zhi Zhong , Lin Jia Lun
Published: May 2014

In recent years, hybrid storage has gradually become a hotspot in the research of data storage owing to its high-performance and low cost. An OpenStack-based hybrid storage system is presented in this paper. According to the characteristics, the data is divided into small data, big data and temporary data in this hybrid storage system; meanwhile a storage strategy, combining database storage system, the virtual file system and servers file system, is designed. In the application of iCampus project, this proposed hybrid storage system shows better performance and higher efficiency than the traditional single storage systems.
Research on Networking of Stage Surveillance System
Authors: Ren Hui , Zhou Yi Chen , Li Zhen , Gao Tian
Published: May 2014

This paper illustrated the shortcomings of present stage surveillance. For the higher demand of stage surveillance and dispatch, we proposed a new method for stage surveillance based on network technology. it is composed of a LAN, some network video cameras, a storage device and a control device. Compared to the traditional surveillance system, this network stage surveillance system will centralize the system functions for a easier control of all devices. Data communication through the network will also reduce the transmit noise and solve the problem of unclear display, which will enhance the visibility and accuracy of stage surveillance and dispatch.
Database Management System of Project Construction Based on “3L” Platform Technology
Authors: Li X.L. , Song Qiang Hui , Qing X.H. , Wang X.
Published: May 2014

Due to the nature of project construction information and the inherent flexibility of “3L” (EXCEL, XML and SQL), “3L” have become the de-facto standard for data representation and exchange. The features of “3L” are briefly introduced. Meanwhile, the system framework, functional modules and some key problems of database management of project construction were discussed. The system implementation of the database management system of project construction based on “3L” platform technology was established seriously and the feasibility and applicability of the database management system was discussed finally.
Register Aircraft Point-Clouds Based on Point Features
Authors: Liu Hui Li , Sun Hua Bo , Luo Bo Ren , Yu Li Ling , Yan Lei
Published: May 2014

The 3D models obtained from laser radar are often used to analyze the objects’ reconstruction. Due to the target’s structure and the viewing angle, multi-angle scan are demanded to cover target’s whole surface, which means data got from different directions need to be spliced together. The ICP algorithm can register accurately. But if the surface of target is complex, such as aircrafts, the direct use of ICP algorithm is difficult to complete. In this paper, the corresponding points are found by the point features: normal vector, curvature and point feature histogram descriptor. The initial registration with rotation matrix and translation vector calculated from the corresponding points can be achieved. Then, improved ICP algorithm can be used to register accurately. This method is accurate and reliable with the test of aircrafts data.
A Web-Based Tool for Visualization of Biomolecular Network Comparison
Authors: Zhang Hui Ran , Shen Xiao Long , Xie Jiang , Dai Dong Bo
Published: May 2014

Analyzing similarities and differences between biomolecular networks comparison through website intuitively could be a convenient and effective way for researchers. Although several network comparison visualization tools have been developed, none of them can be integrated into websites. In this paper, a web-based tool kit named dynamically adaptive Visualization of Biomolecular Network Comparison (Bio-NCV) is designed and developed. The proposed tool is based on Cytyoscape.js – a popular open-source library for analyzing and visualizing networks. Bio-NCV integrates arjor.js which including the Barnes-Hut algorithm and the Traer Physics library for processing in order to express the dynamically adaptive initialization. In addition, in order to maintain consistency, the counterparts in other networks will change while the nodes and edges in one of the compared networks change. Furthermore, Bio-NCV can deal with both directed and undirected graphs.
Study and Design on Vulnerability Discovering of Network Protocols
Authors: Liu Hai Yan , Zhao Yue , Huang Rui
Published: May 2014

Discovering the vulnerabilities in network protocols is the key for network attacks and defenses. Basing on the analysis of some currently used vulnerability discovering methods, a method combining reverse engineering and fuzzy testing is put forward for vulnerability discovering of network protocols, where reverse engineering method is first used to analyze the details of the communication protocol, then fuzzy testing is used to test the target software. This combination can promote the efficiency of the fuzzy testing. By using this method to test a real network application, several vulnerabilities are discovered, which verifies the validity of this method.
Construction of Core Talents Decision Support System for Logistics Enterprises Based on Cloud Database
Authors: Xu Ya Ning
Published: May 2014

With the rapid development of logistics enterprises, personnel decision management of logistics enterprise is highly valued by the relevant institutions and enterprises. How to correctly understand the core function of logistics enterprises, mining and build the core talent decision support system is one of the topics in this field to be solved. Firstly, based on the talent incentive model, we analyze the talent incentive process of logistics enterprise, and based on the characteristics of cloud database we construct personnel decision support system of logistics enterprise. In order to verify the practicality of the system, we use computer simulation to simulate the system. The results show that the system has practical strong, and ability of scientific decision-making is better.
Network Platform Construction and Video System Hardware Design
Authors: Xiao Qing
Published: May 2014

With the emergence of multimedia information technology, the mode of foreign language teaching activities are more and more rich, more and more emphasis are attached on creativity, the ability to think independently and teamwork, but there are also a lot of foreign language teaching platform which is inadequate. Therefore, more and more English teachers begin developing independent learning and the ability to collaborate. This article is based on RISCPA teamwork model and the students' teamwork skills to establish a foreign language teaching system. It provides enriching RISCAP with guiding ideology in theory, and provides theory platform and technical support for teaching platform application and development.
Database Cluster System Design Based on the Internet of Things
Authors: Chen Cui Song
Published: May 2014

The Internet of things is currently an emerging hot technology at home and abroad, bringing profound changes for people's production and life style. At the moment of bringing many benefits, the Internet of things also brings about unprecedented challenges for software, even the whole field of information technology. Specific to the mass, heterogeneity, sensitivity of time and space and dynamic flow, this paper proposes the concurrency control mechanism of the global transaction based on the Internet of things cluster system, effectively improving the concurrence of the global transaction execution, increasing the transaction throughput rate, reducing transaction response time and improving the performance of the system.
Quantitative Analysis and Research to Coal Quality Based on Near Infrared Spectrum
Authors: Yan Hong Wei , Yang Ze Min , Lu Hui Shan , Ju Ya Hang
Published: May 2014

In the experiment, firstly, the quantitative analysis models of the total moisture, volatile matter and ash content of the near infrared spectral of the pulverized coal samples are respectively established by adopting the method of partial least squares; as the model has high predicted precision and good stability, we can see that using the NIR analysis method to conduct nondestructive testing to the pulverized coal indirectly is feasible; then a further study is made on the correlation of the total moisture, volatile matter and ash content in pulverized coal samples respectively, through which we found that the ash content and volatile matter in the pulverized coal sample have a high linear correlation; finally, by comparing the ash content value obtained through the correlation function between the ash content and volatile matter with that obtained through partial least squares model, we can find that the ash content value obtained through the linear correlation between ash content and volatile matter in the pulverized coal ash is more accurate and precise.
Putting a Terminal Network Access Control System into Practice
Authors: Zhang Ke Jun , Liu Biao , Ju Rong Bin , Qian Rong
Published: May 2014

The paper presents the concept and the main idea of network access control and uses the open source software (FreeRADIUS) as a basic framework. It brings in an terminal security status assessment ideas. At the same time, it designs and implements including authentication, configuration and implementation of security strategy and the security state of terminal evaluation as one of the terminal network access control system.
Design and Realization of the Personalized Data in Tourism Business Website
Authors: Yu Rong
Published: May 2014

Tourism business website is an inevitable trend of the development of tourism industry according to the characteristics of the development of tourism business website, using Web data mining technology, the tourists, and tourism core product classification to develop personalized tourism business website services, identify potential customers, develop dynamic adjustment of tourism products, and improve the tourism business website web site design and the tourism information retrieval speed.[1] It can provide the tourism business website for tourism enterprise construction planning, strategic planning, website maintenance and web marketing to provide the reference for the construction of network brand. Analysis of the data mining technology and Web records the process of mining, mining and recommendation engine using Web records help the tourism business website personalized tourism network. Meanwhile, the usages of business website can recommend travel plans for travelers and improve the reservation rate of network of tourism. Tourism enterprises also can make more profit
Fluorimetric Method for the Determination of Trace Amounts of Molybdenum Using 2-Hydroxy-1-Naphthaldehydene-p-Aminotoluene
Authors: Bian Wei Wei
Published: May 2014

A new fluorescent reagent, 2-hydroxy-1-naphthaldehydene-p-aminotoluene, was synthesized. The fluorescent reaction of this reagent with molybdenum was studied. Based on this chelation, a highly sensitive spectrofluorimetric method was developed for determination of trace amounts of molybdenum in a water-ethanol medium at pH 6.8. Under these conditions, the Mo-HNA complex has excitation and emission maxima at 300 and 380 nm, respectively. The linear range of the method is 0-2μg/L and the detection limit is 0.62μg/L. Interference of other ions was studied. It is necessary to remove the interfering cations through cation exchange. The procedure can be carried out easily and affords good precision and accuracy. This method has been successfully applied to the determination of molybdenum in pig liver and mussels.
Ad Hoc Network Routing Technology in the Internet of Things
Authors: Wei Ying
Published: May 2014

The internet of things perception and recognition by the ubiquitous information to the physical world. Ad Hoc provide suitable network environment to the internet of things, whose routing protocol Protect data transmission efficient and reliable. This paper not only analyzes the particularity of Ad Hoc network technology in the Internet of Things, but also simulates AODV and DSDV in test environment to analysis the communication performance in the internet of things.
The Design and Analysis of Cloud Computing Information Management
Authors: Zhang Ya Ni
Published: May 2014

At present, the application systems most enterprises have are self-built and only used in inner-enterprise, thus information can’t be shared efficiently and up-front cost and ongoing maintenance costs are high. To solve this problem, this paper presents a design method of management information system based on cloud computing, which take full advantage of cloud computing platform: HDFS-based cloud-computing copy replication dynamic control mechanism. It can determine whether to increase or decrease the number of copies by reading the number of requests at the same time period and select the appropriate node to add or remove files copies according to historical information so as to achieve the purpose of improving the efficiency of concurrent reads.
Research on Particle Swarm Optimsiation and its Application in Neural Network
Authors: Li Yue Li , Chang Shu Hui
Published: May 2014

This paper based on the PSO algorithm is a neural network model, and with other learning algorithm, and the results show that the performance comparisons are based on improved PSO algorithm two perceptron networks have higher classification accuracy and strong generalization ability. Particle Swarm Optimization (PSO) as an emerging evolutionary algorithm fast convergence speed, robustness, global search ability, and does not need the help of the characteristics of the problem itself (such as gradient). Combination of PSO and neural network PSO algorithm to optimize the connection weights of the neural network can be used to overcome the problem of BP neural network can not only play the generalization ability of the neural network, but also can improve the convergence rate of the neural network and learning capacity.
Analysis of Mobile Database Technology and its Application
Authors: Song Jie , Song Qing
Published: May 2014

With the popularity of smart mobile terminals, mobile database technology is moving from research to a wide range of applications gradually.First this paper analyzes the concept and characteristics of mobile database, and then it lists several main key technologies of mobile database.Finally it studies the mobile database technology in the field of logistics, manufacturing, mobile banking, health care and public utilities. It hopes to have the future reference significance for the development of mobile database.