bluuebunny/crossref_metadata_2025 huggingface dataset:
Fighting Arbovirus Transmission: Natural and Engineered Control of Vector Competence in Aedes Mosquitoes
Authors: Kean Joy , Rainey Stephanie , McFarlane Melanie , Donald Claire , Schnettler Esther , Kohl Alain , Pondeville Emilie
Published: March 2015

Control of aedine mosquito vectors, either by mosquito population reduction or replacement with refractory mosquitoes, may play an essential role in the fight against arboviral diseases. In this review, we will focus on the development and application of biological approaches, both natural or engineered, to limit mosquito vector competence for arboviruses. The study of mosquito antiviral immunity has led to the identification of a number of host response mechanisms and proteins that are required to control arbovirus replication in mosquitoes, though more factors influencing vector competence are likely to be discovered. We will discuss key aspects of these pathways as targets either for selection of naturally resistant mosquito populations or for mosquito genetic manipulation. Moreover, we will consider the use of endosymbiotic bacteria such as Wolbachia, which in some cases have proven to be remarkably efficient in disrupting arbovirus transmission by mosquitoes, but also the use of naturally occurring insect-specific viruses that may interfere with arboviruses in mosquito vectors. Finally, we will discuss the use of paratransgenesis as well as entomopathogenic fungi, which are also proposed strategies to control vector competence.
Antiviral Activity of a Nanoemulsion of Polyprenols from Ginkgo Leaves against Influenza A H3N2 and Hepatitis B Virus in Vitro
Authors: Wang Cheng-Zhang , Li Wen-Jun , Tao Ran , Ye Jian-Zhong , Zhang Hong-Yu
Published: March 2015

In order to improve the bioavailability levels of polyprenols (derived from ginkgo leaves (GBP)) in the human body, a GBP nanoemulsion was prepared, and its antiviral activity was evaluated against influenza A H3N2 and hepatitis B virus in vitro. Methods: A GBP nanoemulsion was prepared by inversed-phase emulsification (IPE). Next, we investigated the antiviral activity of the GBP nanoemulsion on influenza A H3N2 and hepatitis B virus in vitro by the MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenlytetrezolium bromide) method. ELISA and the fluorescent quantitative PCR method were used to measure the content of HBsAg, HBeAg and DNA virus in human samples. Results: The GBP nanoemulsion exhibited uniformity at an average particle size 97 nm with a hydrophilic-lipophilic balance (HLB) of 9.5. GBP is non-toxic to normal cells, hepatitis B virus DNA, hepatitis B virus antigen and HepG2215. Furthermore, GBP could reach a 70% virucidal activity and a 74.9% protection rate (*** p < 0.001) on MDCK cells infected with H3N2 virus at a high concentration of 100 μg/mL. GBP had a good inhibition rate on HBsAg (52.11%, ** p < 0.01) at 50 μg/mL and Day 9 of incubation, and a 67.32% inhibition effect on HBeAg at a high concentration of 100 μg/mL and Day 9. GBP had good inhibition on HBV DNA with CT 18.6 and lower copies (** p < 0.01) at a middle concentration of 12.5 to 25 μg/mL. Conclusions: The GBP nanoemulsion was very stable and non-toxic and had very strong antiviral activity against influenza A H3N2 and hepatitis B virus in vitro. The inhibitory effects and reactive mechanisms were similar to the drug, 3TC; by lengthening the incubation time and increasing the drug concentration, GBP has promising potential as an antiviral drug.
Biofilms in Infections of the Eye
Authors: Bispo Paulo , Haas Wolfgang , Gilmore Michael
Published: March 2015

The ability to form biofilms in a variety of environments is a common trait of bacteria, and may represent one of the earliest defenses against predation. Biofilms are multicellular communities usually held together by a polymeric matrix, ranging from capsular material to cell lysate. In a structure that imposes diffusion limits, environmental microgradients arise to which individual bacteria adapt their physiologies, resulting in the gamut of physiological diversity. Additionally, the proximity of cells within the biofilm creates the opportunity for coordinated behaviors through cell–cell communication using diffusible signals, the most well documented being quorum sensing. Biofilms form on abiotic or biotic surfaces, and because of that are associated with a large proportion of human infections. Biofilm formation imposes a limitation on the uses and design of ocular devices, such as intraocular lenses, posterior contact lenses, scleral buckles, conjunctival plugs, lacrimal intubation devices and orbital implants. In the absence of abiotic materials, biofilms have been observed on the capsule, and in the corneal stroma. As the evidence for the involvement of microbial biofilms in many ocular infections has become compelling, developing new strategies to prevent their formation or to eradicate them at the site of infection, has become a priority.
Antimicrobial Peptides in 2014
Authors: Wang Guangshun , Mishra Biswajit , Lau Kyle , Lushnikova Tamara , Golla Radha , Wang Xiuqing
Published: March 2015

This article highlights new members, novel mechanisms of action, new functions, and interesting applications of antimicrobial peptides reported in 2014. As of December 2014, over 100 new peptides were registered into the Antimicrobial Peptide Database, increasing the total number of entries to 2493. Unique antimicrobial peptides have been identified from marine bacteria, fungi, and plants. Environmental conditions clearly influence peptide activity or function. Human α-defensin HD-6 is only antimicrobial under reduced conditions. The pH-dependent oligomerization of human cathelicidin LL-37 is linked to double-stranded RNA delivery to endosomes, where the acidic pH triggers the dissociation of the peptide aggregate to release its cargo. Proline-rich peptides, previously known to bind to heat shock proteins, are shown to inhibit protein synthesis. A model antimicrobial peptide is demonstrated to have multiple hits on bacteria, including surface protein delocalization. While cell surface modification to decrease cationic peptide binding is a recognized resistance mechanism for pathogenic bacteria, it is also used as a survival strategy for commensal bacteria. The year 2014 also witnessed continued efforts in exploiting potential applications of antimicrobial peptides. We highlight 3D structure-based design of peptide antimicrobials and vaccines, surface coating, delivery systems, and microbial detection devices involving antimicrobial peptides. The 2014 results also support that combination therapy is preferred over monotherapy in treating biofilms.
Frozen Soil Detection Based on Advanced Scatterometer Observations and Air Temperature Data as Part of Soil Moisture Retrieval
Authors: Zwieback Simon , Paulik Christoph , Wagner Wolfgang
Published: March 2015

Surface soil moisture is one of the operational products derived from Advanced Scatterometer (ASCAT) data. The reliability of its estimation depends on the detection of predominantly frozen conditions of the landscape (including soil and vegetation) and the presence of wet snow, which would otherwise impede the estimation. As the robust determination of the freeze/thaw (F/T) state using exclusively scatterometer measurements on a global basis is complicated due to the myriad of different climatic and land cover conditions; we propose to support the retrieval using ERA Interim temperature data. The approach is based on a probabilistic time series model, whereby backscatter and temperature data are combined to estimate the freeze/thaw state. The method is assessed with proxy F/T states derived from modeled and in situ air and soil temperature data on a global basis. These analyses show an improved consistency compared to a previously published ASCAT F/T algorithm, with typical agreements between the external data and the results of the algorithm exceeding 80%. The quantitative interpretation of these comparisons is, however, hampered by discrepancies between the F/T state derived from temperature data and the one pertinent to radar remote sensing, as the former does not account for, e.g., wet snow conditions. The inclusion of the ERA Interim temperature data can improve the accuracy of the algorithm by more than 10 percentage points in regions where freezing conditions are rare.
The Application of Biomedical Engineering Techniques to the Diagnosis and Management of Tropical Diseases: A Review
Authors: Ibrahim Fatimah , Thio Tzer , Faisal Tarig , Neuman Michael
Published: March 2015

This paper reviews a number of biomedical engineering approaches to help aid in the detection and treatment of tropical diseases such as dengue, malaria, cholera, schistosomiasis, lymphatic filariasis, ebola, leprosy, leishmaniasis, and American trypanosomiasis (Chagas). Many different forms of non-invasive approaches such as ultrasound, echocardiography and electrocardiography, bioelectrical impedance, optical detection, simplified and rapid serological tests such as lab-on-chip and micro-/nano-fluidic platforms and medical support systems such as artificial intelligence clinical support systems are discussed. The paper also reviewed the novel clinical diagnosis and management systems using artificial intelligence and bioelectrical impedance techniques for dengue clinical applications.
Interaction Research on the Antiviral Molecule Dufulin Targeting on Southern Rice Black Streaked Dwarf Virus P9-1 Nonstructural Protein
Authors: Wang Zhenchao , Li Xiangyang , Wang Wenli , Zhang Weiying , Yu Lu , Hu Deyu , Song Baoan
Published: March 2015

ern rice black streaked dwarf virus (SRBSDV) causes severe harm to rice production. Unfortunately, studies on effective antiviral drugs against SRBSDV and interaction mechanism of antiviral molecule targeting on SRBSDV have not been reported. This study found dufulin (DFL), an ideal anti-SRBSDV molecule, and investigated the interactions of DFL targeting on the nonstructural protein P9-1. The biological sequence information and bonding characterization of DFL to four kinds of P9-1 protein were described with fluorescence titration (FT) and microscale thermophoresis (MST) assays. The sequence analysis indicated that P9-1 had highly-conserved C- and N-terminal amino acid residues and a hypervariable region that differed from 131 aa to 160 aa. Consequently, wild-type (WT-His-P9-1), 23 C-terminal residues truncated (TR-ΔC23-His-P9-1), 6 N-terminal residues truncated (TR-ΔN6-His-P9-1), and Ser138 site-directed (MU-138-His-P9-1) mutant proteins were expressed. The FT and MST assay results indicated that DFL bounded to WT-His-P9-1 with micromole affinity and the 23 C-terminal amino acids were the potential targeting site. This system, which combines a complete sequence analysis, mutant protein expression, and binding action evaluating system, could further advance the understanding of the interaction abilities between antiviral drugs and their targets.
The Relationship between Online Reviews, Brand Trust, and Willingness to Buy
Authors: Cheng V. , Rhodes J. , Lok P.
Published: March 2015

This chapter investigates how online customer reviews affect consumer decision-making (willingness to buy) during their first purchase of services or products using brand trust as a mediating variable. A brief literature review, rationale and significance, and methodology are discussed, and a conceptual framework based on the relationships between the stated variables is adopted in this empirical study to demonstrate linkages and insights. The findings demonstrate that the “reliability dimension” of brand trust had a mediating effect on online customer reviews' valence to willingness to buy, while the “intentionality dimension” of brand trust had little effect. Furthermore, the findings demonstrate that online customer reviews generated by in-group and out-group reviewers have little effect on purchasing decisions (willingness to buy). These results suggest that marketers should focus more on managing negative online customer reviews that have a damaging effect on brand trust.
Teachers' Experience and Reflections on Game-Based Learning in the Primary Classroom
Authors: Allsop Yasemin , Jessel John
Published: March 2015

This study aims to provide a comparative account of teachers' experience and views of their role when using digital games in primary classrooms in England and Italy. Interviews and a survey administered online and in hardcopy were used to find out teachers' perceptions of game-based learning and how these impact upon their role as a teacher. This research also considers the interview findings in relation to the dynamics between curriculum design, learning culture and practice when implementing game-based learning. A strong link was found between how learning is designed to incorporate digital games, the theories and strategies that have been used in the context of a given curriculum and how these are realised in practice within the classroom. The research also showed that teachers are aware that their roles when using new technologies in education have changed. However, because of the lack of necessary training, teachers are not clear on how to adopt these changes. In some respects the curriculum was regarded to be flexible enough to accommodate game-based learning, however, in other respects it was felt that a more radical reform this would be needed. The difference in country-specific curricula, pedagogy and practice highlights the need for a flexible model or approach of embedding digital games into primary classrooms in a way that is sensitive to context. Some practical guidelines based on the current work are also provided.
Mixed Reality Games
Authors: Marty Jean-Charles , Carron Thibault , Pernelle Philippe , Talbot Stéphane , Houzet Gregory
Published: March 2015

The authors research work deals with the development of new game-based learning (gbl) environments. They think that the way of acquiring knowledge during a learning session is similar to following an adventure in a role-playing game and they apply the metaphor of exploring a virtual world, where each student embarks on a quest in order to collect knowledge related to a learning activity. In their university, the authors have set up numbers of experiments with students using gbl environments. They revealed weaknesses for specific learning activities. Sometimes, learners seem to acquire a skill in the game, but they are not able to reuse it easily in the real world. This is particularly the case for skills that require concrete manipulation of real objects to be acquired. Gbl environments thus lack of means to learn know-how aspects. Some of the learning processes involving real world objects are very difficult to reproduce in gbl environments and there is an essential technological issue in mixing virtual and real aspects in gbl environments. In this article, the authors describe the possible problems that can appear when using this mixed approach, give hints on how to avoid them and illustrate the proposition with examples issued from the electronic domain. The authors focus on issues linked to the transition between virtual and real worlds and they explore how new electronic features can facilitate this mixed approach, where identification, localisation and update of the user models are key issues.
Challenges to the Successful Implementation of Online Voting for E-Democracy in Developing Countries' Initiatives
Authors: Al-Khasawneh Ahmad , Obeidallah Randa
Published: March 2015

The ability to vote is an essential part of Democracy. The election process should be reliable, secure and organized to motivate voters to participate in the election process. The process itself requires a great amount of resources allocation. This paper argues that online voting may play important role on enhancing efficiency, convenience, participation and reducing human/financial resources needed for the election process in developing countries. In this paper, we consider Kingdom of Jordan as a case study. This paper examines Jordan's initiatives (ICTs and e-Government) to study the challenges and difficulties to have ability to adopt online voting in the Kingdom.
The Role of Social Networking in the Social Reform of Young Society
Authors: Abu-Shanab Emad , Frehat Mushera
Published: March 2015

Social networks are virtual communication sites that allow its participants to connect, building relationships, and collaborate on social issues. It became part of our lives and spread rapidly among youth. Young people join these sites to keep strong relationships with friends and to make new ones. Therefore, it is important to investigate the factors that influence the intention to use social networking sites (SNSs) to gain better position in the social reform among young people. This study developed an integrated theoretical model which has five major factors that predict the intention to use SNSs. An empirical test was conducted, where a sample of 302 university students and an instrument containing 27 items was used. The results provide consistent evidence that all hypothesized positive associations exist except for the isolation variable. After taking into account different demographic and attitudinal variables, Facebook use still predicted respondents' social reform. The future work might focus on a specific context such as the effects of using social networks on education, and focus on students' environment in education and the influence of social network. Detailed results, conclusions and future work are stated in later sections.
Research of Large Erecting Control System Based on Fuzzy PID Control Algorithm
Authors: Guan Wen Liang , Gao Qin He , Li Yi Hong , Liu Zhi Hao
Published: March 2015

Dynamics model and Electro-hydraulic proportional control model were established using Simulink and AMESim, Co-simulation was did based on the model. Control Performance of erecting system is Improved based on fuzzy PID control algorithm. Simulation results show that, Overshoot at level exchanging is small, the response is fast and the stability is improved based on fuzzy PID control algorithm.
Rapid Design of DC Motor Speed Control System Based on MATLAB
Authors: Wang Xiao Lei , Yin Tai Yuan , Chen Jin Tao , Liang Jian Xun , Li Yang
Published: March 2015

DC motor speed control system is a typical closed-loop control system ofelectromechanical control subject. This paper presents a fast and efficient developing method ofcontrol system based on MATLAB, overcoming the shortcomings of the low efficiency and longdesign cycle in the traditional control system, and completing the rapid design of DC motor speedcontrol system, with its whole process based on MATLAB through the combination and applicationof the multiple toolboxes of the MATLAB. It applies the System Identification toolbox ofMATLAB to model the DC motor, the Simulink toolbox to simulate the control system, SimulinkDesign Optimization toolbox to optimize the PID parameters automatically, and the RTWtechnology to generate the codes for the DSP target board. Compared with the traditional designmethod, this method is characterized by high-efficiency, high-speed, and easy adjustment, havingcertain significance to the design of other control systems.
The Common Fault Analysis and the Solution of CKA6140 NC Lathe
Authors: Li Li Fang
Published: March 2015

Many types of CNC lathes fault generally can be divided into five categories: CNC device fault; servo system fault; tool holder system fault; spindle system fault and other parts fault. Common fault as long as the correct analysis and judgment is not difficult to troubleshoot.
Design of Microfluidic Chip Rapid Laser Carving Worktable
Authors: Zhang Hai Wei , Wu Ai Guo , Ding Q.Z.
Published: March 2015

Miniaturize systems analysis (TAS) is subject to research micromation, automation, portable of the chemical analys from the sample processing system to test. A special worktable for Microfluidic chips achieve to make chips with lithography technology. According to a rapid flow of chips, based on MCS it is complete with the worktable system of hardware, software , control interface, and debugging, etc.
The Simulation Experiment and Research on an Improved Cumulative Sum Anomaly Detection Method
Authors: Zhao Hua
Published: March 2015

In order to solve the rising serious cyber security problem of the industry control system (ICS) and to improve the reliability of process control of industrial control system, this paper presents an anomaly detection algorithm based on statistical methods. Aimed at the dome temperature control system of hot blast stove in the metallurgical industry, we established that system’s mathematical model and calculate the difference between the predicted output of the model and the measured signal at each moment to form the time-based statistical sequence. Applying the improved non-parametric cumulative sum intrusion detection method, we realizes the online intrusion detection and alarm. The simulation detection experiment shows that the method has a good real-time.
Singularity and Dexterity Analysis of the Test Tilter for the Optical Landing Aid System
Authors: Wang H.D. , Sun Jing , Ji G. , Bi Y.Q.
Published: March 2015

According to the kinematics equation of the test tilter for the optical landing aid system, the velocity Jacobi matrix of the tilter is established. The determinant and the condition number of Jacobi matrix based on the numeric analysis in the preset workspace, as the evaluating indicator of the singularity and the dexterity. Simulation result indicates that there is no singularity in the tilter workspace because the determinant of the matrix is not equal to zero, and the tilter has higher rotary dexterity due to the smaller condition number of the rotational velocity Jacobi matrix. At the same time, the tilter has isotropy and the best dexterity in the vertical motion direction due to the condition number of the linear velocity Jacobi matrix is equal to 1.
Design and Implementation of the Door Module of Gates
Authors: Zou Dong
Published: March 2015

This paper describes the structure, function and design difficulties of the door module which is in the rail transit automatic fare collection system, and design and implement a safe and reliable door module.
Design of Carpet-Knitting Machine Control System Based on Embedded System
Authors: Lv W.G. , Bai J. , Zhang Ce
Published: March 2015

Electronic jacquard machine is the main knitting equipment now, and its control system is the device’s core component that can influence working performance. This paper introduces design and implementation of the Electronic Jacquard Control System for the warp woof knitting machine, and it is a high performance and scalable control system. The hardware of control system is designed with modular hierarchical method. The system contains hardware buffer and ensure reliable operation in real time, can continue weaving after outages, while, with sufficient flexibility and maintainability, can be adapted to different needs of different grades of carpet jacquard equipment. Control system supports a variety of pattern data input, providing flower pattern compilation features real-time visualization of dynamic control of the weaving process to improve the efficiency of the weaving machine. Control system based on general hardware and software platform: ARM9 and Embedded Linux operating system.
Design of High Performance Sample Hold Amplifier for Pipeline ADC
Authors: Zou R.
Published: March 2015

A fully-differential switched-capacitor sample-and-hold amplifier (SHA) used in a 10-bit 30-MS/s pipeline analog-to-digital converter (ADC) was designed using a 0.13-μm CMOS process. Flip-around architecture was used in the SHA circuit to lower the power consumption. A gain-boosted operational amplifier (OPAMP) was designed with a DC gain of 87 dB and a unit gain bandwidth of 388MHz at a phase margin of 75 degree. The simulated results have shown that the SHA circuit reaches a spurious free dynamic range (SFDR) of 94 dB and a signal-to-noise ratio (SNR) of 76 dB for a 10.18 MHz input signal with 30 MS/s sampling rate.
Vehicle Detection System Based on Magnetoresistive Sensor
Authors: He Hong , Mao C.Q. , Pan H.Y. , Li Yu
Published: March 2015

According to the vehicle after geomagnetic disturbances cause of this phenomenon, in-depth theoretical study of the anisotropic magnetoresistance AMR sensors, using triaxial anisotropic magnetoresistive sensor HMC5883L design a vehicle detection system. The system consists of a sensor module, wireless communication module. Sensor nodes through wireless communication module connected with the host computer, to achieve the detection of vehicle information.
Cloud Extraction of Satellite Image Using Fuzzy C-Means Clustering Approach
Authors: Li X.L. , Tian Y.C. , Xing K.Z. , Ma G.Q.
Published: March 2015

We notice that each kind of image has its own feature and these features can recognize by human brain easily. The difference between person and computer is that person can notice the major interest object of a picture and ignore others. We propose a new segmentation method of satellite images based on fuzzy c-means clustering (FCM) to extract an object, cloud. Our method only promise extracts the cloud from a satellite image clearly just like the weather expert only notice the cloud. We extract R, G, and B components of a true color satellite image and convert a true color satellite image to a 256 gray image, from one image get four images. The ANOVA algorithm was used to analysis the cloud images and its results shown that only the discrepancy between the group of “R-components” and the group of “Gray images” are not significance. In other word, we can use the “R-components” to extract the cloud from a satellite image, instead of the converted gray image, and then the operation time could be shortened.
Color Image Segmentation of Live Grouper Fish with Complex Background in Seawater
Authors: Ma G.Q. , Tian Y.C. , Li X.L. , Xing K.Z. , Xu Su
Published: March 2015

The color live fish image segmentation is a important procedure of the understanding fish behavior. We have introduced an simple segmentation method of live Grouper Fish color images with seawater background and presented a segmentation framework to extract the whole fish image from the complex background of seawater. Firstly, we took true color pictures of live Grouper fish in seawater using waterproof camera and save these pictures files as RGB format files, called True-color Images. Secondly, we extracted R,G and B planes of a true color Grouper fish image, painted and compared their histograms of R,G and B planes. Thirdly, we segmented these RGB images and the R,G and B planes of a true color Grouper fish image with the k-means clustering algorithm, using the kmeans () function which is packaged by the Clustering Analysis ToolBox of Matlab 2012(a). Finally, we analyzed the relationships between these histograms and segmented images, and then got a conclusion is that : using the B plane of these RGB images as Input-matrix to do clustering segmentation algorithm by the kmeans () function of Matlab Clustering ToolBox, can got a fulfilling segmentation results.
A Robust Optimisation Approach of a Simultaneous Cost-Risk Reduction under a Just-in-Time Environment Using a Genetic Algorithm
Authors: Dabee Faraj El , Marian Romeo , Amer Yousef
Published: March 2015

This paper addresses the problem of simultaneously minimising the total costs of the final product produced by systems adopting a JIT approach. A cost which incorporates both the cost of production processes and the cost arising from the many potential risks associated with any reduction. A robust genetic approach is proposed in order to optimise the novel mathematical model published in [1]. Genetic operators adopted to improve the genetic search algorithm are introduced and discussed. Experiments are conducted to evaluate the performance of the proposed algorithm and an illustrative example is given. A comparison of the genetic operators used is made by means of evaluating different rates, to define the most suitable rate of crossover and mutation. The findings illustrate the effectiveness of the proposed approach in the JIT system with focus on simultaneous cost-risk reduction.
A Novel Piece-Wise Linear Algorithm for Human Skin Segmentation
Authors: Subban Ravi , Perumalsamy Pasupathi , Annalakshmi G.
Published: March 2015

This paper presents a novel method for skin segmentation in color images using piece-wise linear bound skin detection. Various color schemes are investigated and evaluated to find the effect of color space transformation over the skin detection performance. The comprehensive knowledge about the various color spaces helps in skin color modeling evaluation. The absence of the luminance component increases performance, which also supports in finding the appropriate color space for skin detection. The single color component produces the better performance than combined color component and reduces computational complexity.
Two New Parallel Algorithms Based on QPSO
Authors: Qian Yu Xia , Dong K. , Zhang X.N.
Published: March 2015

Based on the analysis of classical particle swarm optimization (PSO) algorithm, we adopted Sun’s theory that has the behavior of quantum particle swarm optimization (QPSO) algorithm, by analyzing the algorithm natural parallelism and combined with parallel computer high-speed parallelism, we put forward a new parallel with the behavior of quantum particle swarm optimization (PQPSO) algorithm. On this basis, introduced the island model, relative to the fine-grained has two quantum behavior of particle swarm,m optimization algorithm, the proposed two kinds of coarse-grained parallel based on multiple populations has the behavior of quantum particle swarm optimization (QPSO) algorithm. Finally under the environment of MPI parallel machine using benchmark functions to do the numerical test, and a comparative analysis with other optimization algorithms. Results show that based on the global optimal value is superior to the exchange of data based on local optimum values of exchange, but in the comparison of time is just the opposite.
The Optimization of SIFT Feature Matching Algorithm on Face Recognition Based on BP Neural Network
Authors: Liao B. , Wang H.F.
Published: March 2015

In the field of object recognition, the SIFT feature is known to be a very successful local invariant descriptor and has wide application in different domains. However it also has some limitations, for example, in the case of facial illumination variation or under large tilt angle, the identification rate of the SIFT algorithm drops quickly. In order to reduce the probability of mismatching pairs, and improve the matching efficiency of SIFT algorithm, this paper proposes a novel feature matching algorithm. The basic idea is taking the successful-matched SIFT feature points as the training samples to establish a space mapping model based on BP neural network. Then, with the help of this model, the estimated coordinate of the corresponding SIFT feature point in the candidate image is predicted. Finally search the possible matching points around the coordinate. The experiment results show that using the prediction model, the number of mismatching points can be reduced effectively and the number of correct matching pairs increases at the same time
Broadband Coherent Signal Direction Finding Algorithm Improvement
Authors: Wang Juan , Lu Liu
Published: March 2015

TCT for broadband coherent signal direction finding algorithm, the problem of large amount of calculation, an improved method of direction finding is studied, and the only focus signal subspace of the matrix is used to calculate, able to quickly estimate two-dimensional broadband coherent signal. Compared with the traditional TCT algorithm, in the case of without affecting the estimation precision greatly reduce amount of calculation and improve the signal DOA estimation of broadband real-time performance, and in an arbitrary planar array for the model computer simulation experiments have been carried out to verify the performance of it.
A New Implementation Method of Viterbi Decoding in OFDM System Based on FPGA
Authors: Zheng Shu Wen , Cai Guang Hui , Wang H.W. , Zhang G.Y.
Published: March 2015

This paper introduces the basic principle of Viterbi code in OFDM system and a new implementation method based on FPGA, on and timing circuit are validated by using of EDA tools Quartus II. The new method is that the Viterbi decoding module is improved,which makes the design of the whole decoding structure can be improved and solves the compatibility problem among the modules. Finally, the simulation results is given and demonstrates that a good Viterbi code can be achieved by using FPGA in OFDM system, which can save the cost, shorten the designing cycle , and is convenient to speed up the listing of products, occupy less hardware resources, and comply with the development trend of modern communication.
An Approach to Boundary Finding of Intersection Group for Traffic Analysis due to Intersection Improvements
Authors: Ma Ying Ying , Zeng Ying
Published: March 2015

Increased traffic congestion makes intersection improvements are necessary to improve the capacity and traffic running conditions. Because of the influence of a certain intersection improvements is not limit to itself, but covers the intersections around it. The approach to find the boundary of signal group for traffic analysis due to a certain intersection improvements is discussed in this paper. Firstly, two kinds of correlation degree are modeled, which are the basis of intersection grouping. Saturation degree and free flow travel time are considered in the model of correlation degree between two adjacent intersections considers, while correlation degree between any two intersections in the network is analyzed using Laplacian matrix algorithm. Secondly, the approach to find intersection group boundary is proposed. Thirdly, two measures are adopted in quantifying the results of intersection grouping: minimum average cut correlation degree and minimum traffic influence on the intersections outside of boundary. At last, the developed method is used on a city road network. The results of case study confirm the validity of the proposed approach.
Clustering Daily Metro Origin-Destination Matrix in Shenzhen China
Authors: Yang Chao , Yan Fen Fan , Xu Xiang Dong
Published: March 2015

The development of information technology gives rise to explosive growth of the amount of data. As a result, a more effective data mining method in pattern recognition is called into existence, which can properly reflect the inherent daily activity structure of metro travelers. This study is aimed to enrich the traditional clustering methods and provide practical information in dealing with traffic volume variation to the metro system operations. In this study, daily metro origin-destination (OD) data come from smart card records of Shenzhen, China, which cover 290 days and 118 stations. Principal component analysis (PCA) and singular value decomposition (SVD) are applied to conduct dimensionality reduction. Affinity propagation is then chosen to cluster the dimensionality reduced matrix to identify demand patterns of the metro OD matrix. Eleven representative categories are clustered and shown.
Adaptive Optimization Design of Machining Center Tool Changing Manipulator
Authors: Sun K.Z. , Zhou J.Y.
Published: March 2015

Analysis has been made on the adaptive optimization design of machining center tool changing manipulator by the application of the quantitative analysis tools. Thus adaptive comprehensive evaluation index is proposed and the adaptive comprehensive evaluation model of product is established. On the basis of primary evaluation on various indicators such as Product function adaptability with methods of Multilevel Fuzzy Integrative Evaluation, then, the secondary comprehensive evaluation will be continued and comprehensive adaptability evaluation level of FV-1100A machining center tool changing manipulator will be gained, thus providing guides and evidence for further improvement of product design. Through presenting adaptive measuring values of all proposals in schematic design phase and the quantitate evaluation on the complexity of modifying the design.
A Feasible Speed Profile Model for Automatic Train Protection System
Authors: Teng G.D. , Hu S.D.
Published: March 2015

To achieve fail-safe protection, safe train separation shall be required automatic train protection (ATP) function for any communication-based train control (CBTC) system configuration, where the calculation of the ATP profile is a major function of safe train separation. In this paper, we present a feasible speed profile model for ATP system. First, a three-phase brake model is provided which includes system response and disabling propulsion phase, braking response, and braking build-up phase and fully braking phase to simplify the standard model. Second, a palette of speeds includes emergency brake intervention speed (EBIS), service brake intervention speed (SBIS), warning speed (WS), and recommended speed (RS) to meet various application purposes. Third, the evaluation shows that the speed profile model is feasible with practical engineering parameters.
Method for Evaluation of Railway Dynamic Safety Based on 5M Model and Neural Network Algorithm
Authors: Wang G. , Zeng Xiao Qing , Li J.
Published: March 2015

Traditional risk assessment methods, mainly static analysis, can’t anticipate the development trend and consequences of accidents. This paper firstly presents 5M safety model, combined with the characteristics of the rail transit safety assessment, including complexity, dynamic, ambiguity, etc. By using neural network algorithm, this paper proposes a method of railway safety dynamic assessment. Finally, the method is validated by comparing the output value of the model and the veritable value. The result indicated that it has advantages of real time and predictability.
Passing Ability Impact Factors Simulation of Articulated Vehicle with 6×4 Tractor
Authors: Zhang H. , Zhang H.W. , Yang J.Q.
Published: March 2015

Passing ability of articulated vehicles is analyzed, which are combined of different 6×4 tractors and different semitrailers. According to the requirements of GB 1589, the passing ability of different structure articulated vehicles are simulated using AutoTURN. In order to analyze the passing ability impact factor of articulated vehicles in type and structure, simulation analysis is used to study how the tractor front overhang, the distance between center of tractor fifth wheel and the tractor first axle, and the semitrailer first wheel space impact on the passing ability. Reasonable suggestions are proposed by analyzing how the changes of parameters impact on the passing ability. The validity of the simulation model is validated by the test. The results serve as a useful reference for optimizing the articulated vehicle passing ability and promoting the development of vehicle industry technology.
Research of HRTF Character of Head-Mounted Microphone Array
Authors: Zhang Yi , Shen B.B. , Meng S.J.
Published: March 2015

Head-mounted microphone array has practical applications in robot acoustic localization system and wearable anti-sniper positioning system. Usually, sound source localization methods are based on linear or nonlinear unblocked microphone arrays. But head-mounted microphone array is a kind of blocked arrays, with which it needs information of Head Related Transfer Function (HRTF) for precise localization. In this paper, we research the HRTF character of head-mounted microphone array for localization in high frequency band and low frequency band respectively, and design a localization algorithm for low frequency sound based on head-mounted microphone array to analysis the threshold between high and low frequency. Experimental results show that the Head-mounted Microphone Array causes diffraction effect for low frequency sound, and amplitude attenuation effect for high frequency sound, and when the low frequency band is limited into 1 KHz, the localization algorithm for low frequency realizes the best performance.
Optimization Design of Data Collecting and Processing for the Cloud Computing Platform Monitoring System
Authors: Xu G.Z.
Published: March 2015

Cloud computing platform monitoring system need to design flexible, scalable data collecting layer and can process the business association. The optimized data Collecting Layer is composed of Agent, including two types of Agent, and divided into three layers. Agent uses plugin mode to monitor each model entities of the cloud computing platform . Disposing Layer which uses MVC layered architecture is divided into three layers, with advantages of low coupling, scalability.
Volume Measurement of Deposits Based on Stereo Vision and SURF
Authors: Jia Zhen Tang , Han Yan Fang
Published: March 2015

Based on the stereo vision principle, a volume measurement method of deposit is realized. The principle can be applied for the measurement of deposits with messy texture, such as rubbish, construction waste, and small mounds. After camera calibration and image rectification, the disparity of key points are calculated using SURF feature point matching, and the mismatched point pairs are kick out by the epipolar line constrain. Delaunay triangular meshes are created on the final point pairs. Then the volumes of deposit heap are calculated according to the pinhole imaging model. Experiments show that, despite the use of ordinary USB camera, the result is still relatively accurate. If cameras with high quality and high definition are used, the method can be applied to practical applications.
Correlation Property and Low Bound of Time-Hopping Codes for UWB Communications
Authors: Liu Gang , Xuan Gui Xin , Zhang Xia
Published: March 2015

In this paper, we analyze correlation property of time-hopping (TH) codes for time-hopping spread spectrum ultra wideband (THSS-UWB) communication systems. Several different definitions of TH periodic correlation function are compared and discussed. Based on the comparison, the relation between TH codes and frequency-hopping (FH) codes is obtained. Also, the averages of TH periodic correlation function values are investigated, and the relations between averages and four parameters of TH codes are introduced. Based on the result, low bound of maximal TH correlation function values is further given, where the expression of low bound of TH codes relates codes period, the number of time slots, TH codes family size and maximal TH correlation function values.
Method and Software Generation Platform
Authors: Yang Fan , Dong Z.H. , Wang Jue
Published: March 2015

This paper proposed a method and software generation platform, which can automatically generate C++ codes of math equation, and package the software and method into a standard component. Also, the system integrates different types of methods in the unified information processing system with standard interface and format. Users can create new component and design experimental task with existing components. The system is quite convenient for developers to develop new component, easy for administrators to manage all existing component, and simple for users to design and operate experimental task.
Discovering Academic Communities and their Research Interests
Authors: Han H.Q. , Zhu L.J. , Fu Y. , Xu S. , Zhang Z.F. , Shi C.D.
Published: March 2015

The paper aims to discover overlapping communities and their research interests in academic social network. The network is constructed based on co-authorships. Cliques are extracted to discover overlapping communities. Keywords used by authors in communities are counted and sorted, and topNkeywords are selected to represent their research interests. The experimental results in the field of Information Resource Management testified the effectiveness of proposed method.
Automotive Remote Fault Diagnosis Using the Technology of Artificial Intelligent Neural Network
Authors: Chen R.Q. , Ding J. , Tang F.M.
Published: March 2015

With the rapid development of automobile electronic technology, automotive interior structure and mutual communication relations are becoming increasingly complex; meanwhile,users’ requirements for timeliness and accuracy in automobile fault diagnosis are also getting higher, thus increasing the difficulty and uncertainty of automobile fault diagnosis process. The automobile fault clustering fusion system with artificial intelligent neural network as the core is established for fault diagnosis, which not only meets the requirement for timeliness, but also makes after-sale diagnosis service intelligent and user-friendly. This system will have a promising development in future.
An Improved General Regression Neural Network for Prediction Based on Small Samples Data
Authors: Zou Pan , Li Bei Zhi , Liang Steven Y.
Published: March 2015

This paper proposed an improved General Regression Neural Network (GRNN) for prediction based on small samples data by adding the procedure of filtrating the input variables, since the training of original GRNN relies too heavily on data samples and is lack of the relevant process to deal with the errors, while the measurement error and sample error from a plenty of input and output variables in small samples data cannot be easily recognized, but could obviously influence the effect of the training. All the input variables were divided into critical factors and non-critical factors by the impact degree of every input variable, in accordance with the result of the partial correlation analysis on the experimental data. The critical factors were considered as the input of the GRNN model while the non-critical factors were removed to eliminate the error. To verify the performance of the proposed approach, a test on the case of residual stress prediction based on fourteen groups of experimental data was taken as an example application. The improved method could not only avoid the limit to the orthogonality and the quantity of the experiments in traditional method of residual stress prediction, but also get prediction results with smaller error, compared with the original GRNN method. The results have shown that the improved GRNN outperformed the original algorithm with average 4.1% lower prediction error in 92% of the tested cases. And in the rest 8% of tested cases, the prediction error of the improved GRNN was only 0.24% higher than the original one’s.
Design of Physiological Parameters Transmission System Based on the Android System
Authors: Hu S.R. , Liu S.D. , Liang Kuai , Bao Ming
Published: March 2015

With the development of science, technology and medical equipment, it becomes possible that people can make the health surveillance in a convenient way. The thesis is a design on the transmission system of wearable medical health observation system, which is based on cloud medical treatment platform. It connects wearable devices and medical treatment of cloud service platform expediently and efficiently, and completes the data transmission in real time.
Development of Management Information System Based on Web GIS for Monitoring of Pipe-Jacking Engineering
Authors: Sun Y.F. , Ding M.
Published: March 2015

The management information system based on Web GIS for monitoring of pipe-jacking engineering has been developed. The framework and emphasis of the system is introduced. The C/S( Client / Server ) structure is employed for information sharing and team cooperation; and the system has great performance under network circumstances. All the features make it as a powerful information platform for foundation pit monitoring. This system realizes the publication of the monitoring data through the network, and realizes the monitoring data visualization, real-time alarm warning function, has the vital significance to the construction safety management, monitoring information management, project risk control etc.