bluuebunny/crossref_metadata_2025 huggingface dataset:
Facial Expression Recognition Based on the Texture Features of Global Principal Component and Local Boundary
Authors: Zheng Wei Hao , Wang Wei , Ma Yi De
Published: April 2014

Facial expression recognition is a key ingredient to either emotion analysis or pattern recognition, which is also an important component in human-machine interaction. In facial expression analysis, one of the well-known methods to obtain the texture of expressions is local binary patterns (LBP) which compares pixels in local region and encodes the comparison result in forms of histogram. However, we argue that the textures of expressions are not accurate and still contain some irrelevant information, especially in the region between eyes and mouth. In this paper, we propose a compound method to recognize expressions by applying local binary patterns to global and local images processed by bidirectional principal component analysis (BDPCA) reconstruction and morphologic preprocess, respectively. It proves that our method can be applied for recognizing expressions by using texture features of global principal component and local boundary and achieves a considerable high accuracy.
NURBS Curve Extraction from 2D Laser Sensor Data and 3D Simulated Data
Authors: Yan Rui Jun , Wu Jing , Lee Ji Yeong , Han Chang Soo
Published: April 2014

This paper proposes a non-uniform rational B-spline (NURBS) curve extraction algorithm from 2D laser sensor data and 3D simulated data. In robot localization and mapping application, the raw sensor data cannot be stored due to its need of large storage space. However, only a small number of control points of NURBS curve are needed to be stored to recover the geometrical feature of raw data. To comprise the number of control points and accuracy of the extracted curve, global approximation method is adopted to minimize the error between the raw data and the extracted curve. In extraction process, all the weights are set as one firstly. After find the control points, a weight calculation method is developed to update the weight values. The NURBS curve with new weight has smaller error than with original weights. Finally, NURBS curve extraction results from real 2D laser sensor data and 3D simulated data are shown to check the feasibility of proposed algorithms.
A New Method for Processing Symbolization Time Series
Authors: Wang Qiang
Published: April 2014

Symbolic aggregate approximation is data dispersed dimension reduction method. Time series are equal and unequal length after dimensional reduction through difference methods. For calculating similarity of unequal-length symbolization time series, a new method is proposed. First, key point method is used to process time series for getting important information. Then, the new method of this paper is done to let them equal in local. Finally, SAX is utilized to symbolic time series and then calculate similarity of them. The experimental results show that this method is simple and effective and it extends the field of calculating the similarity of unequal length time series.
Comparison Study of the Clustering Analysis Methods in the Load Time-Variation Research
Authors: Lin Yong , Fan Yang , Wu Lie Xin , Xu Yan Hui , Song Ge
Published: April 2014

Load model has a great impact on the digital simulation result. In this paper, the measurement-based method is applied to model the load. If all the measured data are used for modeling respectively, the workload would be increased greatly. But if only one model is generated with the multi-curve fitting parameter identification method, the accuracy of modeling would be reduced greatly. The clustering analysis theory supplies an effective way to solve the problem above. There are some methods for clustering introduced in this paper. But a suitable method needs be studied firstly. The case study is presented to compare these methods. According to simulation result, it is concluded that the Kmeans method is best, while the usually adopted central clustering is actually not suitable for the load time-variation research.
An Iterative Indexing PLANO Frame Work for Graph Feature Mining
Authors: Monickaraj A. Pankaj Moses , Vivekanandan K. , Chitra D. Ramya
Published: April 2014

Graph indexing is one of the budding dominant current research domains. Varieties of data from different domains pop into the daily updating world in huge volume. There are plenty ways to analyze and to arrange them into an easily accessible index. Here in this paper, we concentrate on the graphical approach. The complete classical algorithms of graph indexing are discussed initially followed by the latest proposed solving methods. Alas, at the end of the paper a complete PLANO frame work is proposed such that the given data can be easily indexed and the updated features can be propelled onto the index.
Wideband LFM Signal Parameter Estimation Based on Compressed Sensing Theory
Authors: Ma Ning , Wang Jian Xin
Published: April 2014

Compressed sensing (CS) theory breaks through the limitations of the traditional Nyquist sampling theorem, and accomplishes the compressed sampling and reconstruction of signals based on sparsity or compressibility. In this paper, CS theory is used to do the parameter estimation of wideband Linear Frequency Modulated (LFM) signal in order to decrease the sampling pressure. A novel method that reconstructs the edge information of the LFM spectrum based on wavelet transform and CS theory is proposed. On the basis that the wideband LFM signal has approximate rectangular spectrum, the wavelet-based edge detection is introduced to provide sparse representation for the signal spectrum. The edges of the spectrum can be reconstructed by the CS reconstruction algorithms. Consequently, the initial frequency and final frequency of wideband LFM signal can be estimated with high estimation precision. The effectiveness of the proposed method is confirmed with numerical simulation.
Hybrid Radio and Visible Light Communications in Inter-Vehicle Communication
Authors: Huang Xiao An , Sugimoto Chika , Kohno Ryuji
Published: April 2014

We firstly propose a hybrid-Radio-and-Visible-Light-Communication (HR-VLC) system in Inter-Vehicle Communication (IVC) employing Spread-Spectrum (SS) for better ranging and larger capacity. IVC, a key in Intelligent Transport System (ITS), is intended to improve the better safety and more convenient user experience. In the IVC, Radio communications system may not guarantee the precise ranging and large capacity. Thanks to the VLC with a good directionality and ubiquitous LEDs, a HR-VLC will support a reliable and better ranging system for IVC. Furthermore, the utilization of SS helps reduce the interference of ambient light proportionally to the processing gain. In the HR-VLC in IVC system, PPM is used as a modulation scheme due to high average power efficiency. It is verified that the proposed system achieves better BER performance and more precise ranging.
An Improved Normalized Cut Image Segmentation Algorithm with k-Means Cluster
Authors: Yu Wen Ting , Wang Jing Ling , Ye Long
Published: April 2014

Image segmentation with low computational burden has been highly regarded as important goal for researchers. One of the popular image segmentation methods is normalized cut algorithm. But it is unfavorable for high resolution image segmentation because the amount of segmentation computation is very huge [1]. To solve this problem, we propose a novel approach for high resolution image segmentation based on the Normalized Cuts. The proposed method preprocesses an image by using the normalized cut algorithm to form segmented regions, and then use k-Means clustering on the regions. The experimental results verify that the proposed algorithm behaves an improved performance comparing to the normalized cut algorithm.
Enhanced Thermal Conductivity of Nanofluid by Synergistic Effect of Multi-Walled Carbon Nanotubes and Fe2O3 Nanoparticles
Authors: Chen Li Fei , Cheng Min , Yang De Jun , Yang Lei
Published: April 2014

This study investigates the synergistic effect of combining multi-walled carbon nanotubes (MWNTs) and Fe2O3 nanoparticles on thermal conductivity of nanofluid. Results show that low percentage hybrid fillers loading improve thermal conductivity of water based nanofluid, due to the good dispersion and interfacial adhesion, which is confirmed by scanning electron microscope. Furthermore, the hybrid fillers provide synergistic effect on heat conductive networks. The thermal conductivity enhancement of water based nanofluid containing 0.05 wt % MWNTs and 0.02 wt % Fe2O3 nanoparticles is 27.75%, which is higher than that of nanofluid containing 0.2 wt % single MWNTs or Fe2O3 nanoparticles.
Exact Soliton Solutions of the Variable Coefficient KdV Equation with Forced Term
Authors: Bao Yong Mei , Bao Siqintana
Published: April 2014

In order to construct exact soliton solutions of nonlinear evolution equations with variable coefficients. By using a transformation, the variable coefficient KdV equation with forced Term is reduced to nonlinear ordinary differential equation (NLODE), after that, a number of exact solitons solutions of variable coefficient KdV equation with forced Term are obtained by using the equation shorted in NLODE. As it showed above, this kind of method can be applied in solving a large number of nonlinear evolution equations.
Predicting BEOL Key Qualities by Mahalanobis-Taguchi System – An Example of Taiwan’s Semiconductor
Authors: Lin Shu Yu , Teng Hsiao Lin
Published: April 2014

Taguchi Gen'ichi introduced Mahalanobis-Taguchi System (MTS) which is in combination with the concepts of quality engineering and Mahalanobis Distance (MD). The MTS is proposed as diagnosis and forecasting method using multivariate measurement scale with its intention to help policy maker as basis for decision making. This study applies MTS approach in a manufacturing process to reduce a set of parameters, at the same time there will be a pattern, which can forecast and identify important parameters, constructed by MTS method. Through this pattern can minimize unimportant inspection in process and save unnecessary time and cost. The primary goal to structure a measuring scale which makes accurate forecasting in multidimensional system. The case study in this paper reviews the planarity of back-end process in 8-inch silicon wafers on the purpose to construct a pattern of reduced set of parameters. In this paper, using thirty-two current variables as reference space and furthermore reducing the variables to seven parameters in order to predict defective items. As a result, it has still good discriminant accuracy. If validation of the reduced-set parameters is reliable with its good discriminant accuracy, it means that the company in this case study can built defective items warning of the pattern parameters in back-end process because this approach of selecting parameters is feasible.
Research on Application of Ant Colony Optimization
Authors: Rui Wang , Wang Zai Tang
Published: April 2014

We research on application of ant colony optimization. In order to avoid the stagnation and slow convergence speed of ant colony algorithm, this paper propose the multiple ant colony optimization algorithm based on the equilibrium of distribution. The simulation results show that the optimal algorithm can have better balance in reducing stagnation and improving the convergence.
Application of Ant Colony Algorithm
Authors: Wang Rui , Wang Zai Tang
Published: April 2014

This paper mainly considers the application of the ant colony in our life. The principle of ant colony optimization, improves the performance of ant colony algorithm, and the global searching ability of the algorithm. We introduce a new adaptive factor in order to avoid falling into local optimal solution. With the increase the number of interations, this factor will benefit the ant search the edge with lower pheromone concentration and avoid the excessive accumulation of pheromone.
Optimization and Simulation of OFDM System Based on Orthogonal Wavelet
Authors: Sun Zeng You , Zeng Fan Ming
Published: April 2014

In order to reduce the Orthogonal Frequency division Multiplexing (OFDM) Inter-Carrier Interference (ICI), Put forward a kind of modulation method that based on the orthogonal frequency division multiplexing of orthogonal wavelet, Using orthogonal wavelet instead of discrete Fourier transform, optimize the design for OFDM systems, on the premise of without protection interval to reduce the system interference, using MATLAB to simulate the OFDM system, results show that the optimization of the OFDM can reduce the power of the ICI and Inter-symbol Interference (ISI) and improve the comprehensive anti-jamming of the OFDM system.
Adaptive Equalizer for DS-CDMA Multi-User Communication System Using Sign-Algorithm Based on Laguerre Filter Structure
Authors: Sirithummachak P. , Benjangkaprasert C.
Published: April 2014

This paper proposes a sign-algorithm based on adaptive Laguerre filter structure for improving the performance of the direct sequence-code division multiple access (DS-CDMA) communication system. The proposed adaptive equalizer employs a combination of sign and least mean square (LMS) algorithms to minimizing the effect of inter-symbol interference (ISI) that arises due to multipath propagation, and the computational complexity of equalizer. The performance of proposed equalizer was compared with traditional equalizers such as LMS and RLS algorithms in terms of varying path. The function detail and performance results of the proposed equalizer are described by computer simulations in terms of the bit error rate (BER).
Wind Speed Prediction Based on Improved Grey Neural Network Model
Authors: Zeng Bin , Zou Jian Xiao , Li Kai , Xin Xiao Shuai
Published: April 2014

Wind speed forecasting is an effective method to improve power stability of wind farm. Grey system theory have certain advantages in the study of poor information and uncertainty problems, it is suitable for the system with limited computing power and data storage capacity, such as wind turbine control system. In order to further improve the prediction accuracy of grey model, we combined GM (1, 1) model and BP neural network prediction model in this paper, and improved the combined model by background value optimizing and introducing genetic algorithm. Through analyzing the simulation results and comparing the forecasting results with the actual wind speed, it is clear that the improved combined prediction model is superior to pure grey forecasting model and it meets the needs of the wind power control.
The Automata Model of Interval Speed CPNs
Authors: Liao Wei Zhi
Published: April 2014

Continuous Petri Nets(CPNs) has been a useful tool not only to approximate a discrete system but also to model a continuous process. In this paper, we consider a general CPNs----Interval speed CPNs(ICPNs). An approach to translate Interval speed CPNs to event clock automata is proposed. Since the instantaneous firing speed (IFS) vector is one of key parameters in behavior analysis for ICPN, an efficient way to determine the IFS of ICPNs was presented firstly. Then an algorithm of constructing evolution graph for ICPNs was developed, which offers all information for constructing automata for ICPNs. Furthermore, a procedure to transform a state evolution graph of ICPNs into an event clock automata is build. After having constructed the associated event clock automaton, we show that classical approaches of verification of event clock logic formulas can be applied to prove that the ICPNs model satisfies a particular property.
Numerical Simulation of Droplet Ejection Based on VOF Method
Authors: Suo Xiao Yong
Published: April 2014

Taking ejection process of the ink droplets from ink-jet nozzle as the prototype, a similar numerical model of droplet ejection was established. The VOF method was applied to track the interface of droplet ejection process and it is shown that the numerical results simulated by the VOF method were accurate and reliable. Six kinds of liquid with different physical properties were chosen as the research object. The numerical results were analyzed and compared. Finally, the effect of the surface tension, viscosity and density on the droplet ejection process was discussed.
Analysis of HCV’s Linearity Using Support Vector Machine (SVM)
Authors: Hwang Yun Sik , Jun Byeong Joo , Yoon Tae Seon
Published: April 2014

As the stage of bioinformatics has been upgraded, classification of certain pathogen has been improved into a new manner. The main topic of this research is genetic singularity of HCV (Hepatitis C Virus) and our objective is to assay features of the HCV's amino acid under usage of Support Vector Machine (SVM) algorithm. HCV data used in our experiment has 10 kinds of sequences and 257 kinds of data. According to data analysis, some peculiar genetic patterns of HCV’s linearity that discord pre-existing neural network and C5.0 were found.
Information Extraction of Pro/E Swept Features Based on Pro/Toolkit
Authors: Zhao Jin Cai , Dong Jin Feng , Fang Yi Xiang , Huang Feng Shan
Published: April 2014

Extracting and integrating information of complicated model has bottlenecked the intelligence of three-coordinate measuring. Formation mechanism and sweeping procedure of Pro/E swept feature was studied thoroughly. Based on Pro/Toolkit and VS2008, an application program of extracting information of complicated model which is illustrated by an example of teacup is presented in this paper.
An Optimization Model and Genetic Algorithm Solution for Automated Celestial Navigation of Ships
Authors: Li Hui , Lu Gang , Wang Wei , Wang An Guo
Published: April 2014

Inclination measurement errors have a significant effect on the positioning accuracy of an automated ship celestial navigation system using the existing theoretical models. To reduce such undesirable effect, we propose a nonlinear least-squares model based on global optimization and provide a genetic algorithm solution using proportional selection, arithmetical crossover, Gaussian mutation, and elitist strategy. The performance of the model and solution is demonstrated by an instance of simulation experiment. The results indicate that the global near-optimal solution of a ship’s attitude and position can be obtained with accuracy of arc-second level, and the accuracy is better than that of the existing models by one to two orders of magnitude under the same measurement conditions.
A Multi-Band Carrier Aggregation Scheme for Mobile Satellite Communications
Authors: Gao Ya Zhe , Yang Xu , Geng Xiao , Li Jian Bo , Wu Jian Jun
Published: April 2014

This paper works on the scheme of multi-band carrier aggregation in satellite mobile communication system. According to the transmission characteristics of carriers in different frequency bands, the transmission parameters of OFDM in different bands have been got. The applicability of the traditional carrier aggregation scheme in satellite mobile communication system has also been discussed. A scheme of the cross band carrier aggregation in satellite mobile communication system and the corresponding synchronization scheme of data symbols are given. Numerical calculation and analysis are given to confirm the rationality and effectiveness.
Access Control Algorithm with Limited Power Constraint for Mobile Satellite Communications
Authors: Gao Ya Zhe , Xia Xiao Han , Su Zi Ming , Luan Xi , Wu Jian Jun
Published: April 2014

The problem of admission control caused by the limitation of resource in hotspot beams in satellite system is considered in this paper. Based on the idea of borrowing resources from surrounding beams, we give a scheme that the beam reserve resources is borrowed proportionally. After that, the original admission control algorithm based on service priority is modified in order to protect access rate of the low priority service. Simulation results prove that the proved scheme can increases the available beam load capacity effectively and provide a guarantee for the access of those services with low priority.
To Produce Electromagnetic Shielding Material from Lignin of Black Liquor
Authors: Chen Fei Fei , Xiong Yu Qing , Du Shi Lei
Published: April 2014

Lignin was obtained from black liquor of papermaking by the acid to separation, and carbonized after loading various amounts of nickel and calcium or nickel alone. The influences of the temperature, amount of nickel and amount of calcium on the crystallized size (Lc) and the electromagnetic shielding (EMS) capacities in the range of 50~800 MHz for the chars from lignin were investigated. The results showed that Lc and EMS capacities in the entire of frequency of the chars with 6wt% calcium increased with increasing amount of the nickel loaded and also increased with increasing carbonization temperature from 700 to 900°C. Some amounts of calcium significantly enhanced the formation of crystallized carbon. Lc and EMS capacities of the chars with loaded 8wt% nickel increased with increasing amount of calcium and then decreased. It was founded that chars of lignin with co-loading of 8wt% nickel and 6wt% calcium were suitable as EMS materials with exceeding a practical standard of EMS capacity (30dB) in the range of 50~800 MHz.
A Method of Interface between Matlab PV Model and PSASP Transient Stability Program
Authors: Zhang Jing Ming , Li Yan Song
Published: April 2014

PV system model was set up in Matlab, and improved disturbance observation of MPPT tracking technology was proposed, as well as the reactive decoupling of active inverter control strategy. By the UPI of PSASP, Matlab engine was used in a user program to achieve the cross-platform interactive simulation between PSASP and Matlab simulation software. Controlling the simulation process, the problems of variable transmission has been solved. And the PV systems and PSASP transient stability calculation program can conduct interaction simulation on hybrid step.
A New Intrusion Detection Method Based on Machine Learning in Mobile Ad Hoc NETwork
Authors: Cao Lai Cheng , Han Wei , Dong Sheng
Published: April 2014

In a Mobile Ad hoc NETwork (MANET), intrusion detection is of significant importance in many applications in detecting malicious or unexpected intruder (s). The intruder can be an enemy in a battlefield, or a malicious moving object in the area of interest. Unfortunately, many anomaly intrusion detection systems (IDS) take on higher false alarm rate (FAR) and false negative rate (FNR). In this paper, we propose and implement a new intrusion-detection system using Adaboost, a prevailing machine learning algorithm, and its detecting model adopts a dynamic load-balancing algorithm, which can avoid packet loss and false negatives in high-performance severs with handling heavy traffic loads in real-time and can enhance the efficiency of detecting work. Compared to contemporary approaches, our system demonstrates an especially low false positive rate and false negative rate in certain circumstances while does not greatly affect the network performance.
Study on High-Performance Simulation Computer for Large-Scale System of Systems Simulation
Authors: Zhao Zhi Qiang , Hao Jia Xin
Published: April 2014

The high-performance parallel computing (HPPC) has a better overall performance and higher productivity, for a generical large-scale army equipment system of systems (AESoS) simulation, and the runtime efficiency can be multiplied several tenfold to several hundredfold. The requirement analysis of simulation framework of AESoS based on HPPC was proposed. After the simulation framework of AESoS based on HPPC and its key techniques were discussed, the simulation framework of AESoS Based HPPC was designed. it is of great significance to offer certain references for the engineering application in the simulation fields of AESoS based on HPPC.
Investigating the Effect of Software Complexity Metrics on Software Cost
Authors: Falah Bouchaib , El Alaoui Sara , Abbadi Hajar
Published: April 2014

Nowadays, software is expected to have an extended lifespan, which makes the evaluation of its complexity at the early stages critical in upcoming maintenance. Indeed, complexity is proportional to the evolution of software. Software metrics were introduced as tools that allow us to obtain an objective measurement of the complexity of software. Hence, enabling software engineering to assess and manage software complexity. Reducing software costs is one of the major concerns of software engineering which creates an increasing need for new methodologies and techniques to control those costs. Software complexity metrics can help us to do so. In this paper, we would investigate how those metrics can be used to reduce software costs. We would first analyze the most popular complexity metrics and distinguish their properties. Then, we will show how each of those metrics fit within the software life cycle. Finally, we will provide a detailed approach to use the complexity metrics to reduce software costs.
Development of Bluetooth Roll Call System Based on Android Platform
Authors: Ding Ming Li , Li Lu Peng , Ding Ming Lun
Published: April 2014

The composition, related knowledge and implementation of Bluetooth roll call system based on Android platform were introduced in this paper. The Bluetooth roll call system designed was simple, convenient, effective and reliable; its data transmission was stable, and suitable for teachers’ daily teaching.
Alternative Antenna Research to Optimize MIL-STD-188-125-1 Standard Shielding Effectiveness Measurement
Authors: Kang Ho Jae , Bang Jung Ju , Huh Chang Su , Huh Uk Youl
Published: April 2014

Currently, When Shielding effectiveness(SE) test was conducted in MIL-STD-188-125-1, The experiments are using Loop antenna, Log Periodic(LP) antenna, Biconical antenna about shielding in the frequency range of 10k∼1GHz. But, Their size in the shielding effectiveness test influences chamber construction costs. And these influences play a role in increased production costs. So spiral antenna to clear antenna size problem was proposed. This antenna has small size and function to cover broad frequency compared to other antennas. To evaluate antenna performance, we use commercial software simulation program. And we observe radiation characteristic changing arm width and distance between arm. First, through magnitude analysis of S-parameter, antenna characteristic according to each arm distance is analyzed. Secondly, through Theta/Degree Vs. dB function and 2D/3D model, radiation pattern of antenna is investigated. Third, radiation energy magnitude and characteristic of antenna is investigated in simulation program.
A Velocity and Transmission Environment Based Handover Algorithm for Heterogeneous Networks
Authors: Yang Chun Liang , Wang Jian Xin , Yu Hai , Kuang Quan , Speidel Joachim , Wang Mao
Published: April 2014

Heterogeneous networks have attracted a lot of attention for supporting high data rate and high mobility wireless communications. Since the base station density in heterogeneous networks is much larger than that in homogeneous networks, and the deployment of low power base stations in heterogeneous networks may be unplanned, a mobile user may see a large number of base stations simultaneously. Thus handover management in heterogeneous networks is much more challenging than that in homogeneous networks. In this paper, we address these challenges and propose a heuristic handover algorithm for use in heterogeneous networks. The proposed algorithm uses estimates of user velocity (speed and direction) and the transmission environment to improve the handover performance, i.e., the handover rate and the handover failure rate. Simulation results show that the proposed algorithm performs better than the conventional scheme in typical scenarios of heterogeneous networks.
The Method for Broadband Folded Dipoles Using Branch Current Redistribution
Authors: Xie Xu , Liu Chao , Zhou Liang , Wu Hua Ning
Published: April 2014

The curtain array was usually composed of folded dipoles as elements for their high input impedance, but its bandwidth had a limitation for its antenna mode. This paper proposed a method for broadband folded dipoles using branch arms for current redistribution, which increased the bandwidth of input impedance and VSWR effectively by choosing the proper positions of the branch wires. The current distribution on branch model showed an unbalanced condition as the branch wires moved. As verification, a practical model with cage antenna had been analyzed by the present method and FEKO. The results illustrated that when factor k was between 0.4 and 0.5, the bandwidth would be maximum.
Design of IOT Gateway System Based on WMMP-T Protocol
Authors: Wu Chuan , Zhou Zhi Ping
Published: April 2014

The coexistence of various network protocol standards at present creates a huge barrier against network interconnection and interoperability. This paper proposes an IOT gateway system to implement various heterogeneous networks interconnection and interworking. The multi-protocol conversion gateway system is developed on top of the WMMP framework to integrate heterogeneous networks and incorporates a semantic model of an IOT software system. And then the protocol conversion method is designed on the basis of the protocol driver template, which is configurable for different communication protocols. The gateway communication process is implemented to report and transmit data and forward command to the bottom layer devices. As a result, the analysis test results show that dynamic protocol conversion mechanism of the gateway provides a good operating environment for different service functions for stable, scalable and real-time remote control system.
Effect of Aging Treatment on Structural and Mechanical Properties of CuCrZr/AlN Nanocomposites
Authors: Gu Man , Wu Yu Cheng , Jiao Ming Hua , Huang Xin Min
Published: April 2014

Powder metallurgy method was used to prepare copper alloy nanocomposites (CuCrZr/AlN) with high strength and conductivity. The morphologies and structures of the CuCrZr/AlN nanocomposites were analyzed using scanning electronic microscope (SEM) and transmission electronic microscope (TEM). The impact of aging treatment on mechanical properties of CuCrZr/AlN nanocomposites was studied. The result showed that dislocation density of the sample decreased and the solid solution atoms precipitated after aging treatment. The micro-hardness of the sample decreased and Brinell hardness increased after aging treatment.
Research on Particle Swarm Optimization-Based Node Positioning Algorithm for Wireless Sensor Networks
Authors: He Jie , Li La Yuan
Published: April 2014

In many instances, as special applications of wireless sensor networks, wireless sensor networks need to know the location of nodes. A wireless sensor network localization algorithm based on Particle Swarm Optimization is proposed in this thesis to solve the problem of inaccurate positioning and large energy consumption for wireless sensor network node positioning. The algorithm combines the particle swarm optimization algorithm (PSO) and node localization algorithm to improve the positioning accuracy.
A Non-Uniform Node Distribution Policy for Routing Holes Avoidance
Authors: Yan Ran , Yang Yun , Kong Xiu Ping , Xu Wen Chun , Zhou Yuan Yuan
Published: April 2014

The wireless sensor networks are mainly employed on purpose of collection or supervision hence most of the data will flow into the base station finally. And the quantity asymmetry resulted from more source nodes often much more than the target nodes leads to unbalance of network traffic. As a result, nodes which are near the base station cost more energy, and this is the so-called "hot spot" effect followed by the energy hole problem. Aiming at these problems, this paper introduces a non-uniform distribution strategy on the basis of the MEBC algorithm (Mult-energy Balance Clustering Hierarchy), so that the inner layer has more number of nodes. Through theoretical and experimental simulation, the non-uniform node distribution strategy can effectively deal with the hot spot effect, realize the suboptimal balance of energy consumption in wireless sensor networks, and is effective to alleviate the energy hole problem. In addition, the simulation shows that with the expansion of network scale, it does not shorten network life cycle because of the non-uniform distribution strategy. Therefore the non-uniform distribution strategy is a good solution to the problem of large-scale network deployment.
Preliminary Study on Collaborative Lesson Planning Based on Cloud Platform
Authors: Liu Shi Qi , Zou Dan Dan
Published: April 2014

Lesson planning, the starting point and basis for teaching, is one of the most important steps to determine the quality of teaching. At present, lesson planning and teaching are separated; also professional teachers are rare in many areas. By collaborative lesson planning based on cloud platform, teaching and research is not limited in the office or their own school. Teachers can carry out lesson planning or teaching counseling at home. Currently collaborative lesson planning based on cloud platform is very popular. It not only extends the teachers' working space and time, but also expands their horizons and improves the teaching quality.
Management of Big Data in the Internet of Things in Agriculture Based on Cloud Computing
Authors: Wang Hui Zhe , Lin Guo Wen , Wang Jian Qin , Gao Wan Lin , Chen Yi Fei , Duan Qing Ling
Published: April 2014

Internet of Things (IoT) is playing a more and more important role in modern agriculture development. However, problems of efficient storing and reasoning those massive heterogeneous sensor data collected from variety kinds of sensing equipment need to be resolved to implement Internet of Things in agriculture. This paper explores the architecture of Internet of Things in agriculture with heterogeneous sensor data, and proposes a design of implementation to Internet of Things in agriculture based on cloud computing. The design is based on two-tier storage structure of HBase, which is a distributed database with high scalability. It access database using MapReduce model, a distributed programming framework. Hence, this design provides scalable storage, efficient data access, and eases other processing of sensor data.
A Fine-Grain Price Analysis for Online Transaction Data
Authors: Ji Xuan , Chen Ying
Published: April 2014

Because an accurate price analysis is very important for business, there are different kinds of price analysis systems in China. In this paper, we focus on the price analysis of agricultural products. According the examination of those price analysis systems; we find that most of them cannot provide enough information for business decisions. In this paper, we first choose to use online transaction data because they often provide rich information. We then use an agricultural ontology and a GIS (Geographic Information System) technology in our price analysis. With the GIS technology, we can bridge the price of an agricultural product and its producing areas. With the agricultural ontology, we can make a fine-grain price analysis. Our analysis shows that more exploration is needed for price analysis.
Research and Design of Web-Based Autonomous and Collaborative Teaching Mode under Blended Learning
Authors: Liu Cong
Published: April 2014

Blended learning is a continuously developing and extending concept, which has been the hot topic of educational technology. With the development of information technology, the network environment has become one of the important environments for learners to study. Autonomous learning and collaborative learning, which are based on network environment, will become indispensable ways of future learning. This paper analyzes the basic theory of blended learning, discusses the meaning and relationship of autonomous learning and collaborative learning, and analyzes the advantages of autonomous and collaborative learning brought by network. Then with teaching practice, this paper builds a web-based autonomous and collaborative teaching model under blended learning. Finally, the paper gives a detailed description in designing teaching process, module structure, functions and system architecture of web-based autonomous and collaborative teaching model. The analysis shows that applying this model to course teaching has some influence and practical significance to enrich and improve the teaching pattern.
Control of Synchronization on Community Networks
Authors: Li Meng , Jiang Xin , Ma Li Li , Ma Yi Fang , Guo Quan Tong , Lei Yan Jun , Zheng Zhi Ming
Published: April 2014

Synchronization of coupled oscillators on networks has been investigated in a wide range of topologies. One of the major challenges is how to control the synchronization process through network structures. In this paper, we study the control of network synchronization by considering the mixing regions of different modules in networks. It is shown that small or weak mixing parts on module networks may hinder the synchronization of the whole network while large and strong mixing parts may accelerate synchronization. Our findings indicate that mesoscopic structures should be of importance to controlling network synchronization.
Responsive Web Design for Mobile Device Screen Optimization
Authors: Lee Fong Yee , bin Mohd Shukran Mohd Afizi , Wong Chee Kong
Published: April 2014

The robust development of the telecommunication technologies has boosted the massive production of the mobile devices such as smartphones, phablets, tablets, and laptops. The use of these mobile devices has experienced an explosive growth and come in vary screen sizes. This development has changed the way how web contents is organized and displayed on screen. This paper compares the different responsive approaches, which works well with various device screens. However, the main focus of this paper is on Responsive Web Design (RWD) since it is highly applicable. RWD techniques and tools, issues and reviews of RWD are also discussed in this paper. The objectives of this paper are finding the best responsive approach, identifying well practices and suggesting future works. Along this line, this paper serves, as a guide that enables designers and developers to gain better understanding of the RWD and hence improve their productivity.
A Group Persistent Assignment in Contention Slots of DOCSIS
Authors: Pawasopon Thanyawarat , Sittichivapak Suvepon
Published: April 2014

This paper presents a group persistent assignment method in contention slots for DOCSIS standard. Our model is a numerical method which can separate each user access to the arbitrary contention slot with independent persistent value. Each user can be collected into a group access. Then we can assign different persistent value to access slots in a frame. The occasion that many users access in same slot is reduced. In this paper, we also calculate the value of successful probability and average successful number in each contention period.
Calculating the Reliability and Reputation of Agents in E-Commerce Multi-Agent Environments
Authors: Majd Elham , Balakrishnan Vimala , Gharib Sousan , Pourmahdi Katayoon , Shakeri Leili , Abadi Masoumeh Feyz
Published: April 2014

E-commerce multi-agent systems have some features of autonomy and commercial transaction that improve rapidly and become a powerful tool for buying and selling products online. While multi-agent systems can break interactions in distributed and heterogeneous environments, malicious behaviors of the agents are a potential hazard in distributed e-commerce applications. Hence, calculating the reliability and reputation of agents play a critical role in determining how interactions occur and who to interact with. The way of calculating the reliability and reputation of each agent should be based on different elements, and there are no standard elements to compute reliability and reputation of each agent in multi-agent environment. This paper analyses some recent proposed methods in calculating reputation and reliability of each agent. The ultimate aim of this study is to define the standard elements which should be considered to calculate the reliability and reputation of agents in e-commerce multi-agent environment.
Mathematical Programming Models for Flexible Manufacturing System Planning and Scheduling Problem
Authors: Paslar Shahla , Ariffin M.K.A. , Tamjidy Mehran , Tang Sai Hong
Published: April 2014

This paper provides a review of the literature regarding the application of mathematical programming models for FMS planning and scheduling problem. The aim of this study is to analyze the present and future trend in this filed and to propose a classification scheme based on the following criteria:FMS type, decision level, planning and scheduling problem, FMS characteristics, mathematical modeling, constraint, objective, solution methodology, novelty, and application. This study provides readers with a great understanding of the complication of the planning and scheduling problem and the application of developed methods to model and solve them.
Study on Water Conservancy Information System Based on Cloud Computing
Authors: Liu Haiyan , Liu Xiao Min , Wan Zheng
Published: April 2014

The paper researches the water conservancy information management system with the flexible configuration and full scalability based on cloud computing. The system carries out information construction in the information collecting and engineering monitoring layer, the network layer and the application layer. Using the cloud computing and SOA, the system realizes the project management of water conservancy; The users can enjoy the rich digital media service at any time by the way of mobile communication network, wireless LAN and fixed communication network and so on. At last, the system is applied to the irrigation district. The application result shows that the system has the ability of computing and data operating, saves the cost in software and hardware, improves the water use efficiency.
Proposed System Model for Android Augmented Reality System in Malaysia Military Operations – Unit Positions
Authors: Shukran Mohd Afizi Mohd , Maskat Kamaruzaman , Sharif Wan Sharil Sham , Yunus Mohd Sidek Fadhil Bin Mohd , Ariffin Mohd Suhaili
Published: April 2014

We propose System Model whereby augmented reality-based approach on Android devices for Malaysia military operations that in this area for unit positioning. An Android system or application will be as information devices to soldier unit in gathering or distributing their information between the allied units. Augmented reality interfaces other than provides a user-friendly and intuitive, it will create awareness and better understanding when on certain military operations risk is at the high level.
A Development of Next-Generation Port Simulator for the Performance Evaluation of Port Crane
Authors: A Mi Na , Koo Moon Je , Lee Kwon Soon
Published: April 2014

In this study, the innovative operation system performance was evaluated for port competitiveness improvement at port distribution industry field. We conducted the 3D modeling of existing crane and suggested crane. The loading and unloading simulation was fulfilled for each crane in accordance with developed port simulator scenario. We compared loading and unloading performance of each crane based on the simulation result. Through this, Development of the simulator will be available in the construction and development of the new port cranes. Also, It is performance evaluation method with economic savings and It considered new methods in contrast with the existing development system.
Dynamic Federal Collaborative Development Method for Heavy Military Vehicles
Authors: Ji Jun , Chai Wei Yan , Xue Gan Xin , Li Ge Yang
Published: April 2014

According to the business characteristics and technical requirements of heavy military vehicles digital collaborative development, the paper proposes the dynamic federal collaborative development method for heavy military vehicles. To realize the method, the key is constructing the three-tier dynamic federal collaborative development environment. So the paper focuses on the research of the business, function and technical architecture of dynamic federal collaborative development environment. Applying the Web Service-Based cross-system collaborative flow controlling method and developing the integrated middleware, the three-tier federal collaborative environment realizes tightly integration. Finally, the application demonstration of a type-product inter-enterprise collaborative development based on the developed digital collaborative development platform verifies the effectiveness and feasibility of the method.
Gas Phase Synthesis of Vanadium Oxide Nanoparticle Films with Temperature Controlled Surface Plasmon Resonance Properties
Authors: Nan Ya Li , Xu Shang , Liu Fei , Zhou Jian Feng
Published: April 2014

Vanadium oxide nanoparticles were synthesized with controlled size and dispersity by gas phase cluster beam deposition. The composition of the nanoparticle film is dominated with VO2 nanoparticles. The VO2 nanoparticles undergo a phase transition between the room temperature monoclinic insulator phase and the higher temperature rutile metal phase. In the metallic phase, the VO2 nanoparticles exhibit a strong surface plasmon resonance in the near-IR region from 900nm to the 2000nm, which generates a large enhancement on the extinction coefficient. This plasmon resonance is thermally controlled by the VO2 MIT and can be used to improve the optical switching characteristics of VO2 based devices in the near-IR region.
Information Processing in Searching Tweets
Authors: Liu Qi , Liu Ji Ping
Published: April 2014

Tweeter, which is very popular as a micro blogging services, offers numerous of information. It is necessary to find more useful information with less effort. This paper purposed a method of information processing when collecting the latest tweets by specific keywords, such as user screen name, keywords of tweets, username and location. For each query, no more than 200 latest tweets will be gathered. During the implementation of information processing, Twitter Search API [1] is adopted to collect tweets. Once those tweets are collected, they will be stored into database firstly which makes sure the database is always up to date. Tweets will be fetched from database when there is a query.
A MapReduce Model to Process Massive Switching Center Data Set
Authors: Yang Wen Chuan , Li Rui , Shang Zhi Dong
Published: April 2014

Accompany the widely use of smart phone in China, all inputs and routes packets streams to the Telecommunication Content Distribution Service Switching Centers (TSC). There is a tendency to put more capability into the switch, such as retain or query passing by data. Thus we definitely need to think about what can be kept in working storage and how to analysis it. Obviously, the ordinary database cannot handle the massive dataset and complex ad-hoc query. In this paper, we propose MRTSC, a MapReduce deep service analysis system based on Hive/Hadoop frameworks. A distributed file system HDFS is used in MRTSC for fast data sharing and query. MRTSC also optimizes scheduling for switch analysis jobs and supports fault tolerance for the entire workflow. Our results show that the model achieves a higher efficiency.
Pixel Value Graphical Password Scheme: Identifying Design Features and Requirements
Authors: bin Mohd Shukran Mohd Afizi , bin Mohd Yunus Mohd Sidek Fadhil , Sham Shariff Wan Sharil , Ariffin Mohd Suhaili , Maskat Kamaruzaman
Published: April 2014

Pixel value graphical password scheme was introduced with the aim to solve problems faced by users during authentication process that arising from current graphical password scheme weaknesses. Even though the idea of graphical password scheme is still under analysis stage, many researchers have come out with a lot of vulnerabilities finding for current graphical password scheme. Literature studies on vulnerabilities finding has contributed for a development of method design features and requirements for pixel value graphical password scheme. This paper is organized as begin with a brief introduction on graphical password scheme, followed by literature study outcome, discussion on features and requirements, and enclosed with topic conclusion.