bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Measuring the Resonant Frequency of Air Core Transformer on Mass Spectrometer with a Test Coil
Authors: Ni Kai , Yan Xiang , Yu Quan , Shi Zu Hua , Lu Xin Qiong , Wang Xiao Hao
Published: June 2014

Air core transformer is an essential part of mass spectrometer. Test coil is often used to measure its resonant frequency with the advantages of easy installation and high sensitivity. However, the influence of test coil while it is installed close to the working coils on the transformer is not studied before. To reveal the influence of test coil and determine the right position to install, two experiments using test coil and opened probe respectively for the measurement are conducted. Since the opened probe has little load effect on the original transformer impedance system, it can be used to validate the influence of test coil. By comparing the two experimental results, we find that the right position to install the test coil is on the further side of the primary coil to the secondary coil. This work allows us to integrate the test coil with the air core transformer to monitor the resonant frequency in real-time.
Internet System of Cognitive Diagnosis Measurement for Mixed Scoring S-P Chart and its Applications
Authors: Lin Yuan Horng , Yih Jeng Ming
Published: June 2014

The purpose of this study is to develop an internet system for cognitive diagnosis assessment. The theoretical foundation of this cognitive diagnosis model is mixed scoring student-problem chart (S-P chart) which is beyond the limitation of traditional S-P chart. Therefore, one contribution of this study is to construct the cloud computing for analyzing measurement data. Another contribution is to extend the traditional S-P chart and accomplish an internet system. In addition to the theory and system, this paper also gives an empirical data to interpret utility of the internet system. The results show the feasibility of this internet system of cognitive diagnosis measurement. Based on the findings of this study, some suggestions and recommendations are discussed for future research.
A Novel Compensation Method for FOG Temperature Drift Based on TUKF
Authors: Li Yang , Hu Bai Qing , Zha Feng , Li Kai Long
Published: June 2014

Aiming at the problem of modeling and compensation of the fiber optic gyroscope (FOG) drift caused by temperature, a novel compensation method for FOG temperature drift based on transformed unscented Kalman filter (TUKF) is proposed. Elman network with faster convergence speed is used to modeling and TUKF algorithm is adopted to train the weights of Elman network, which effectively solves the problem of numerical instability. The results prove that the proposed method has higher precision compared with Elman network and IUKF network models. By using the TUKF algorithm, the root mean square errors (RMSE) are improved by 60%  in temperature rise period and 50.5% in fall period.
An IP Based Audio Test Network for Tunnel Application
Authors: Hu Bing Yi , Teng Hua Liang , Zhang Xue Feng , Bai Lu , Wu Kai Fan
Published: June 2014

An accurate measurement of noise wave is the key to effective noise control in a tunnel. In this paper, an IP based audio test network is presented. This network includes 100 battery powered recorders and a WIFI network. Each recorder can acquire 2 channels of audio waves and be triggered by external signals of infrared or electrical synchronic pulse. A main control computer connects these recorders to setup parameters and collect data via the WIFI network. Sensors are reassembled to be compatible with the interface of standard sound source. Meanwhile each sensor is fixed in a sensor holder, which can be placed to any position on a plane and can be used to adjust its sensor to 0-180 degrees in both of X-Y direction. The sound source generates various signals, such as clicks, tones, and tone bursts, to help understand how the sound propagates in tunnels. This designed network is capable of acquiring multipoint sound waves synchronously.
Analysis and Application on Performance Testing System for Magnetic Latching Relay Used in Smart Meter
Authors: Chen Sheng , Zhang Peng He , Xue Yang , Jia Fu Quan , Chen Si Yu , Xu Jia Jia
Published: June 2014

Magnetic latching relay is widely used in smart meter and low control energy consumption is the advantage. The quality of the meter is decided by magnetic latching relay. A magnetic latching relay performance testing system is proposed in the paper which including the main control module, auxiliary control module and the load. The three parts is connected to change the information through the network. Several magnetic latching relay samples are chose to be tested, the result says that the big current could make more damage. In this paper, the testing system can help on the quality control of the smart meter.
Initial Alignment of SINS in the Measurement System of Pipeline Position Based on SUKF
Authors: Li Hui , Jin Peng
Published: June 2014

Aiming at the large dimensions of state vector and attitude angle periodical change of SINS in initial alignment, The alignment algorithm was presented in initial alignment of pipeline inspect gauge system (PIGs) for pipeline fault location and geometry measurement. The state and observation equation with the attitude angle, the position of the reference point and the velocity as observed vectors is established. Combined with the UKF algorithm, variable scale UKF algorithm (SUKF) is proposed to realize the initial alignment during the pipelines detector working. Comparing with UKF, experiment results showed that the steady-state misalignment of pitch, yaw and roll were 17.5’, 6’and 5’. The results indicate that the proposed algorithm is effective for practical applications.
Research on the Test Methods of Electronic Voltage Transformer under Complex Field Environment
Authors: Yang Hua Yun
Published: June 2014

EVT (electronic voltage transformer) is one of the key devices of the intelligent substation. This paper introduces the basic principles of EVT error tests. By analyzing the test environment of EVT with GIS structure, this paper establishes the high-voltage side equivalent circuit for the field EVT calibration methods and proposes to carry out field boost for the EVT with GIS structure, which could effectively improve the field calibration efficiency of EVT. Based on the research on the complex field environment of EVT, this paper puts forward the field test methods of EVT with AIS structure and the results show the effectiveness and correctness of this study.
Design of an Inclination Sensor with High-Resolution Based on MEMS Accelerometer
Authors: Zhou Qing Fei , Xu Ming Long
Published: June 2014

A method of measuring inclination based on MEMS accelerometer is introduced,and a digital inclination sensor is developed. This paper describes the hardware structure of sensor and working principle. MEMS-based accelerometer senses axial component of gravity in sensitivity-axis direction. MSP430 microcontroller does temperature self-compensation in the light of the temperature drift fitting curve while the thermometer monitors environment temperature. IIR filtering algorithm is adopt to eliminate disturbance from high-frequency vibration noises. In order to analyze characteristics in frequency domain, Butterworth filter is simulated and filtering coefficients are given by MATLAB. The sensor is calibrated to eliminate angle drifts by RS232 interface. The result shows that the measuring accuracy of inclination sensor is up to 0.002°.
Development of a Gas Flow Sensor Based on FS5 Hot-Film Probe
Authors: Yang Lei , Yang Jia Qiang
Published: June 2014

On the basis of thermal measuring method, a hot-film gas flow sensor is proposed. Its sensitive element is a FS5 probe, which is integrated with measuring resistance and temperature compensating resistance inside. In order to achieve temperature compensation, the main measuring circuit is designed. Considering minimizing errors in this circuit, the temperature correcting circuit is added to further modify output voltage. By fitting measurement data of gas flow and the final output voltage with least square method, an operating characteristic curve is obtained as well as its 4th order polynomial. Under equivalent conditions, the proposed sensor, a high-precision standard sensor and an industrial sensor are experimented upon and the contrast analysis of their measurement results is given. The experimental results prove that the proposed sensor has high precision with measurement error less than 3%. Therefore the proposed sensor is feasible for industrial applications.
The Camera Lens Design of 3D Low Light Level Color Night Vision System
Authors: Li Juan , Liu Zhao Hui , Mei Chao
Published: June 2014

Two camera lenses for 3D low light level color night vision system are designed in CODE V. The panchromatic sensitive camera lens works in a wide spectral band 400nm-1000nm, yellow green-sensitive camera lens works in a band of 400nm-600nm.The two camera lenses have same parameters, such as focal length 120mm, relative aperture 1/2, the field angle of 5.26 °. In the design of two camera lenses, we split and complex cooke triplet lens, the chromatic aberration is balanced by adding a binary diffractive surface. The results of design show that sensitive panchromatic camera lens and yellow-green-sensitive camera lens, in the all field of view, when the Nyquist frequency is 77.5 (lp / mm), all MTF is larger than 0.6; the axial chromatic aberration of sensitive panchromatic camera lens is 0.056mm. Two camera lenses have good imaging performance.
Fusion of Visual and Infrared Image Based on NSCT
Authors: Chen Zi Hong , Zhang De Xiang , Yan Qing , Zhang Jing Jing
Published: June 2014

Non-subsampled contourlet transform (NSCT) is the combination of the multi-scale analysis and multi-directional analysis in processing high-dimensional signals and has better approximation precision and better sparse description. A novel and efficient fusion method of infrared image and visible image based on NSCT is proposed. Firstly, source fusion images can be decomposed into low-frequency coefficients and high-frequency coefficients using the NSCT. For the low-frequency coefficients, the average fusion algorithm is used. For the each directional high frequency sub-band coefficients, the larger value and region average gradient maximum criterion is used to select the better coefficients for fusion. Experimental results show that the proposed algorithm can achieve better result compared with the traditional image fusion algorithms.
Human Motion Tracking and Alarm System Based on DaVinci
Authors: Xiong Yuan Yi , Yang Jie , Wang Chuan
Published: June 2014

The paper proposes a improved Camshift algorithm which solve the problem of the original Camshift that have limitations when the tracking target have similar color with the background and is obstructed. The paper combines codebook model with the Camshift. The YUV space is used in foreground detection rather than the RGB. The results of experiments show that the algorithm works well in complex background, occlusion and the same color interference. At last we achieve a warning system.
Studies on the Optical Measuring System for Grape Stem Diameter
Authors: Wang Ming Jun , Zhou Jun
Published: June 2014

This study presented a novel non-contact optical measuing method for grape stem diameter in fields. The main algorithm contained 3 steps: saperation of the stem from background, determination of the stem segment, and the computation of stem diameter. The experiments conducted in field not only validated the effectiveness, but also proved the high accuracy of the optical measuring system. And our further experimental results showed that the continuous measurement of grape stem diameter can provide periodic data for the analysis of physiological disorders in grapes.
Image Super-Resolution via Low-Rank Representation
Authors: Li Zhao , Wang Le , Yu Tao , Hu Bing Liang
Published: June 2014

This paper presents a novel method for solving single-image super-resolution problems, based upon low-rank representation (LRR). Given a set of a low-resolution image patches, LRR seeks the lowest-rank representation among all the candidates that represent all patches as the linear combination of the patches in a low-resolution dictionary. By jointly training two dictionaries for the low-resolution and high-resolution images, we can enforce the similarity of LLRs between the low-resolution and high-resolution image pair with respect to their own dictionaries. Therefore, the LRR of a low-resolution image can be applied with the high-resolution dictionary to generate a high-resolution image. Unlike the well-known sparse representation, which computes the sparsest representation of each image patch individually, LRR aims at finding the lowest-rank representation of a collection of patches jointly. LRR better captures the global structure of image. Experiments show that our method gives good results both visually and quantitatively.
Research on Fish Morphology Image Processing and Refinement Algorithm Based on MATLAB
Authors: Zhou Yi Lin , Wang Wen Long
Published: June 2014

This paper includes two parts. Firstly, we introduce the pretreatment process of fish photos. This is a very important part for fining treatment,because the quality of the image taken from fishpond would be greatly affected by luminance and complex background. Finally we give a description for the thinning algorithm about the shape of fish. The pretreated fish photos could be processed by thinning algorithm to make each fish similar to string. It’s very easy to judge the dynamic behavior of fish. In the fish farms, you should continue to feed if the lines assume radial shape. You should stop feeding if the lines present us with random shape.
A Novel Approach of Face Detection Based on Double Skin Models and AdaBoost Algorithm
Authors: Hou Shun Yan , Qie Jian Min , Xu Jing
Published: June 2014

A novel face detection approach based on double skin models and AdaBoost algorithm is proposed in this paper. The image segemention of skin regions is firstly got with a fixed threshold skin model in YCbCr color space. The image segemention result is used for optimizing the parameters of Gaussian skin color model which is used for the image segmentation of the skin regions secondly. The logical operations are computed with the twice results of skin segmentation and then the coarse position of candidate face regions are got by morphological processing. Finally, the accurate face regions are acquired combined with Adaboost algorithm. The experimental results indicate that this face detection method can restrain the false number better on the premise that a proper detection rate should be kept and has better robustness.
Research of Caption Text Security Detection in Video Based on Semantic Orientation
Authors: Guo Sheng Nan , Jiang Chao Hui
Published: June 2014

With the rapid development of Internet technologies and applications, a lot of harmful video have spread out on Internet, it is enormously harmful to stability of social and people's physical and mental health. The means to extract video caption text is studied in this paper, and improvement method of text security detection. The proposed method first classifies caption text, then compares the result of classification with the library of user’s demands to determine whether to trigger alarms, through which the aim of monitoring harmful videos could be achieved. In this method, the text detection manner calculate the polarity of sentiment words by analyzing the context of those, meanwhile considers the effect of noun, then gets the orientation of the whole texts. Experiment has shown the method can monitor harmful video effectively.
Global Path Planning Method for USV System Based on Improved Ant Colony Algorithm
Authors: Song Chang Hui
Published: June 2014

An improved ant colony algorithm based grid environment model for global path planning method for USV was introduced. The main idea of the improved ant colony algorithm was distributing each ant route dynamically. When the active ant was selecting the next route, this algorithm program determined the nearest direction to the end point. There were many possible route points which were distributed artificially. Thereby, the probability for each ant to choose the right direction was increased. The simulating results demonstrate that the improved ant colony algorithm in this paper is very suitable for solving the question of global path planning for USV system in the complex oceanic environment where there are a lot of obstacles. At the same time, this method costs less time, and the path is very smooth.
The Study on User Model Construction Method Based on Ontology
Authors: Zhao Ji Chun , Liu Shi Hong , Guo Jian Xin , Qiao Zhu Feng
Published: June 2014

The construction of the user model for achieving accurate personalized learning recommendation has an important role. The paper described the user model construction method based on ontology for multimedia video teaching resources in the field of agriculture. The concept and evolution of the ontology, user modeling technology and agriculture video ontology construction method is given, and the user model is realized and validated by experiment at last.
Identification the Faulty Components in Power Networks Based on Wide Area Information and RBF Neural Network
Authors: Fang Yu , Chang Zheng Wei , Wu Hao , Tang Xian Feng
Published: June 2014

Using the wide area information of the IED, the identification faulty components network is constructed based on RBF neural network. Using the state information collected by line IED as the input vector, training samples matrix of identification faulty components network is established to train RBF neural network of faulty components identification, and to test the recognition network using the sample matrix under random failure, and then the faulty line IED can be identified, the faulty components can be determined. Experiments show that the new algorithm based on RBF has higher accuracy rate and better fault-tolerant.
Modelling of Full-Actuated Autonomous Underwater Vehicle
Authors: Zhang Hong Bin , Yuan Jian
Published: June 2014

The modelling method of a full-actuated autonomous underwater vehicle is investigated.The kinematics and dynamics models of the full-actuated autonomous underwater vehicle in three-dimensional space are constructed. Gravity and moment of gravity,current resistance and moment of resistance, buoyancy and moment of buoyancy and thrust and moment of thrust are constructed, respectively. Experiment results show the effectiveness of the proposed modelling method.
Human Activity Recognition Using Smart-Phone Sensors
Authors: Guo De Feng , Liu Bin , Jin Xiao Tian , Liu Hong Jian
Published: June 2014

Activity recognition is a challenging problem for context-aware systems and applications. Many studies in this field has mainly adopted techniques based on supervised or semi-supervised learning algorithms to recognize activities by movement patterns gathered through sensors, but these existing systems suffer from complex issues for feature representations of sensor data and multi-sensors integration. In this paper, we propose a novel feature learning method for activity recognition based on entropy and construct an activity recognition model with multi-class AdaBoost algorithm. Experiments on sensor data from a real dataset demonstrate the significant potential of our method to extract features for activity recognition. The experimental results also show recognition model based on multi-class AdaBoost is effective. The average precision and recall for six activities are 95.9% and 95.9%, respectively, which are higher than results obtained by using other methods such as Support Vector Machine (SVM) or K-Nearest Neighbor (KNN).
Research on Static Game Theory Based Secure Routing Algorithm in WSN
Authors: Yao Lan , Gao Fu Xiang , Cong Lin
Published: June 2014

In deep research and analysis on WSN security routing protocols and according to the rational development trend of the sensor nodes, this paper proposes a new WSN security routing protocol based on the theory of the static game—GBR. GBR describes the interactions in a static game model using rational characteristics of nodes. When selecting the forwarding node, neighboring nodes decide whether to participate in forwarding data through game, and prevent the destruction of malicious nodes by calculating the utility function. They control and adjust the game process and results through incentive mechanism. GBR (Game theory Based Routing algorithm) reduces packet loss rate by the above mechanisms and strategies and effectively controls the self-ish behavior of nodes. In addition, GBR pursues security routing and makes design and improvement in the energy conservation, which considers node security and regards the energy of the nodes as an importing reference index, in order to balance the network energy consumption.
An Improved ANN Controller on the Efficiency Optimization of Offshore Petroleum Platform
Authors: Liu Bao , Gao Na , Liu Fei , Fan Ling , Sui Yi Yong
Published: June 2014

An improved ANN controller is presented inspired from hormone modulation function. This ANN controller consists of the main ANN controller and the conventional controller. To increase the learning efficiency, the slop of the excitation function is changed by the correcting parameters according to the hormone modulation law. To improve the control accuracy, we chose the accumulation of control error during the regulating process. And to avoid the integrated saturation, we judge the input of BP based on the absolute value of error. The main ANN controller adjusts the control input of the secondary conventional controller. To testify the effectiveness of the improved ANN controller, we apply it on the experiment device of offshore oil platform. The results show that the improved ANN controller has better control performance than the conventional controller and the normal ANN controller.
Multidisciplinary Design Optimization for Small Vertical Wind Turbine Design
Authors: Mo Qiu Yun , Deng Fei , Li Shuai Shuai , Zhang Ke Yan
Published: June 2014

Multidisciplinary design optimization (MDO) represents the development direction of complex products design theory and method, it shows a huge advantage in solving complex optimization problems in engineering applications, for example product design. This paper briefly analyzes some existing problems of small vertical wind turbine, and puts forward using the theory of MDO in small vertical wind turbine structural optimization. Then,the paper analyzes and points out the key technology of using MDO theory to optimize small vertical wind turbine, and provides a new train of thought for further in-depth study of small vertical wind turbine to improve the overall performance of the small vertical wind turbine products.
SWOT Analysis and Research on the Informatization Application Model of the Agricultural Industry Cluster
Authors: Wu Juan
Published: June 2014

The informatization of agricultural industry cluster promotes agricultural modernization. However, agricultural industry cluster in China has no real use of modern information technology. It does not form a rational application system and perfect frame structure, and also it has not reached in the true sense of "industrial clusters", further it influences the competitiveness of agricultural regional economy and the individual as a whole. We mainly study the model of agricultural industrial cluster information, combined with the realistic version of the "happy farm", by reference to the network of food pattern, to establish urban modern agriculture Demonstration Park. By SWOT analysis of the construction of the information platform model, we find out that information of agriculture ecological park to solve the main problems, the overall framework of information technology services of public building agricultural cluster model, focus on building the application function module of the realistic version of the "happy farm".
Application of Information Technology in the County Government
Authors: Su Ye
Published: June 2014

The purpose of the study is to solve the primary problem of the local government information. This paper analyzes the case of Yangyuan County, Hebei Province, China. We examined the current situation and investigated the problems of the construction information of the county government, analyzed the reasons and proposed the strategies.
Systematic Design of Individualized Customization of Home Textiles Based on Web
Authors: Gong Hua Ping , Bai Yu Shan , Li Yan
Published: June 2014

Aiming at poor interactivity, low customers’ participation,difficult operation in System of Individualized Customization of Home Textiles, this paper is committed to a customer-oriented system by following the trend of collaborative design between clients and enterprises.This system provides Customized Modification Module,Customized Design Module, Professional Designer Module with users-friendly customized system, good interactivity and easy operation. Clients can design products in two-dimensional and three-dimensional model environment and improve design efficience and user experience through on-line communication with professional designers. This paper illustrates the architecture,working procedure of the system and analyses the applicable practices.
Tax Administration Problem in the E-Business Environment
Authors: Xiao Sun Xi
Published: June 2014

E-business will play an important role in our national economy. How to create a fair and orderly environment for the development of electronic business has become an important theoretical subject. And it also contributes to our economy development and tax base enlargement. This paper mainly discussed the impact of E-commerce on tax collection system; it elaborates definitely from all the aspects of tax jurisdiction, tax registration system, management of traditional books and certificate and tax audit system. Based on the analysis of above this paper brings forward countermeasures and advices on how to perfect e-commerce taxation management in China.
Tax Revenue Loss under Electronic Commerce in China
Authors: Xiao Sun Xi
Published: June 2014

Based on the analysis of the loss of e-commerce taxation, this paper analyzes the issue of how to deal with China's current e-commerce revenue drain. By comparing the domestic and foreign commerce collection models and experience, combined with the current status of tax collection, this paper analyzes the main problems of e-commerce in China. And it proposed the principles on managing the network infrastructure to establish a mature network system, and on strengthening tax electronic services. This paper brings forward the models for tax collection and network technology development in China.
A Robust and Efficient Password Authentication Scheme Using Smart Cards
Authors: Li Wei Jing , Zhu Ping , Zhang Hua , Jin Zheng Ping
Published: June 2014

Password authentication scheme using smart cards is an important part of securely accessing the server program. In 2012, Chen et al. proposed a robust smart-card-based remote user password authentication scheme. Recently, Li et al. discovered the scheme of Chen et al. cannot really ensure forward secrecy, and it cannot achieve the goal of efficiency for wrong password login. Then, they proposed an enhanced remote user password authentication scheme based on smart cards. In this paper, we propose a novel authentication scheme by using elliptic curve cryptography. The new scheme can achieve both the user anonymity and the goal of efficiency of incorrect password detection, and can also establish a session key for the subsequent secure communication. Moreover, we show by a detailed analysis that it requires lower computation cost while improving the security of the scheme.
An Iot-Based Remote Health Monitoring and Management System
Authors: Meng Xiao Jing , Cui Huan Qing , Hua Rong
Published: June 2014

With the development of economies, health has been paid more and more attention on in life. This paper introduces an Internet-of-Things-based health monitoring and management system, consisting of sensing, transportation, storage and application layers which have different functions. This system implements the health-monitoring and service-provision anywhere and anytime, and community-centered healthcare services.
The Forecasting Research of Beijing Tourism Demand Based on the BP Neural Network
Authors: Yu Yang , Wang Shi Min
Published: June 2014

This paper describes the basic principles and algorithm of the BP neural network and builds a forecasting model of Beijing tourism demand based on the BP neural network. The forecasting model can forecast and analyze the number of tourists in Beijing in the future, which using the MATLAB tools and the number of tourists in Beijing during 1994 to 2012 for empirical research. The results show that the forecasting model of Beijing tourism demand based on the BP neural network can forecast the number of tourists in Beijing in the future more accurately.
Regression Analysis of Lower Extremity Injury Influencing Factors under Frontal Crash
Authors: Wang Long Zhen , Xu Shu Cai , Lai Xing Hua , Zhang Jin Huan
Published: June 2014

Traffic safety problem becomes increasingly serious as a result of the rapid development of China automobile industry as well as increasing car’s ownership. The occupant road traffic injury data of NASS / CDS database (2005-2010) are systematically explored to statistically analyze injury characteristics and effects of collision velocity and angle for those occupants with lower extremity injury in frontal crash. Results of the present study has significant value on the design of vehicle crashworthiness and occupant restraint system.
Setting of Academic Warning Based on Multivariate Copula Functions
Authors: Dai Jiu Ru , Li Meng Yi , Li Wu Wei , Lu Zhou , Zhang Zhi Gang
Published: June 2014

With the prevalence of credit system, the stipulation of “academic warning” is written into the teaching management constitution by more colleges and universities. However, the present research in this stipulation is only limited to the simulation of multivariate normal distribution. This paper aims to improve the current setting of academic warning through Monte Carlo simulation of multivariate Copula functions, and to calculate more reasonable academic warning credit line. The result demonstrates that the accuracy is significantly improved, therefore, this approach can provide a new train of thought and universal method for colleges and universities to set specific standards.
FECG Extraction Algorithm Based on BSS Using Temporal Structure and DWT
Authors: Li Rui , Chen Bao Feng
Published: June 2014

Fetal electrocardiogram (FECG) blind source extraction (BSE) algorithm based on temporal structure and discrete wavelet transformation (DWT) in noise is proposed in this paper. After building the basic blind source separation (BSS) and BSE models for FECG, some preprocessing procedures based on the temporal structure of the FECG are constructed. Using DWT we can move the conventional time-domain signals to the wavelet-domain, and then the source number is detected and the robust noise reduction technique in FECG can be deduced too. According this preprocessing and second-order statistics (SOS), the proposed robust FECG extraction algorithm is derived.
Fuzzy Clustering Segmentation Algorithm Research for Biomedical Image Based on Artificial Life
Authors: Wang Long , Liu Bin , Yang Mo Yuan
Published: June 2014

In this paper, linking with the basic principle of FCM (Fuzzy c-means clustering) algorithm, on the basis of theory research, the segmented partitions emerge when the state of the lives reaches an equilibrium. The artificial life approach is promising in image processing because it is inherently parallel and coincides with the self-governing biological process. Then combined with intensity-texture-position feature space in order to produce connected regions shown in the image, the final segmentation result is achieved at last. The experiment results prove that in the view of the biomedical image segmentation, this algorithm provides fast segmentation with high perceptual segmentation quality.
Influence Diffusion Model Based on Semantic Orientation and its Application in Opinion Leader Identification
Authors: Dong Li Li , Zhao Fan Rong , Zhang Xiang , Zhu Yu Jie
Published: June 2014

As the pivotal intermediary guiding public opinion in the interpersonal communication network, opinion leader’s discovery and identification have great social significance. Aiming at the existing problem of IDM models and its related model, this paper proposed a Influence diffusion model based on semantic orientation, which combines semantic understanding to reduce the diffusion of mendacious influence, analyzing text orientation to quantify the emotional intention, using reply structure to calculate diffused influence, then identifying the network opinion leaders. Experiments indicated that this method can improve the accuracy of opinion leader identification effectively.
Recognizing Event in Short Text Based on Decision Tree
Authors: Lu Jing Ya , Zuo Wan Li , Zhu Liang
Published: June 2014

Mining newsworthy events from a large number of microblogging information is not only the primary problem that several big microblogging websites need to solve, but also a new research field in micro-information age. For now, a lot of study about even recognizing has been made at home and abroad, but relatively rarely contrapose short text (microblogging message). The paper considers newsworthy event recognizing in short text as classification problem, utilizes the decision tree classification algorithm in data mining, sufficiently mines features of event in short text, and then recognizes the newsworthy event in microblogging. In the last, we verify the effect of the model.
Reverse Search Particle Swarm Optimization to Deal with Dynamic Optimization Problems
Authors: Chen Li , Wang Wei Jiang , Yao Lei
Published: June 2014

Multiswarm approaches are used in many literatures to deal with dynamic optimization problems (DOPs). Each swarm tries to find promising areas where usually peaks lie and many good results have been obtained. However, steep peaks are difficult to be found with multiswarm approaches , which hinders the performance of the algorithm to be improved furtherly. Aiming at the bottleneck, the paper introduces the idea of sequential niche technique to traditional multiswarm approach and thus proposes a novel algorithm called reverse space search multiswarm particle swarm optimization (RSPSO) for DOPs. RSPSO uses the information of the peaks found by coarse search of traditional multiswarm approach to modify the original fitness function. A newly generated subswarm - reverse search subswarm evolves with the modified fitness function, at the same time, other subswarms using traditional mltiswarm approach still evolve. Two kinds of subswarm evolve in cooperation. Reverse search subswarm tends to find much steeper peak and so more promising area where peaks lie is explored. Elaborated experiments on MPB show the introduction of reverse search enhances the ability of finding peaks , the performance of RSPSO significantly outperforms traditional multiswarm approaches and it has better robustness to adapt to dynamic environment with wider-range change severity.
Strategic Learning in Multiple Equilibria for Double Bargaining Mechanism by PSO
Authors: Zhu Xiao Bo
Published: June 2014

The learning behaviours of buyers and sellers with the assumption of bounded rationality were studied in the double sealed-bid bargaining mechanism. A multi-agent simulation trading system was constructed to observe the process of equilibrium approach when exist the multiple equilibria. The bidding choices of the agents were modelled by particle swarm optimization (PSO) algorithm. In our proposed model, two populations of buyers and sellers were randomly matched to deal repeatedly until the iteration stop, and each agent would update his bidding strategy in each round by imitating the successful member in his population and by private experience. Results show that the final biddings of the agents in both populations commonly approach a Nash equilibrium which is reasonable for the market principle.
The MacWilliams Identity of Linear Codes over Mn×s(Fp+uFp+vFp+uvFp) with Respect to RT Metric
Authors: Liu Yan , Shi Min Jia
Published: June 2014

The definition of the exact complete ρ weight enumerator over Mn×s(Fp+uFp+vFp+uvFp) is given, and the MacWilliams identity with respect to RT metric for the exact complete ρ weight enumerator of linear codes over Mn×s(Fp+uFp+vFp+uvFp) is obtained. Finally, a example is presented to illustrate the obtained results.
Comprehensive Evaluation Study of Multiple Comfort for High-Speed Train
Authors: Wang Hai Yong , Wang Xiao Ming , Dang Jian Wu
Published: June 2014

The fuzzy comprehensive evaluation model of comfort of high-speed train was established by using Fuzzy-ANP. In this model,firstly, the weight of each multiple index was determined by employing ANP; Secondly, the fuzzy evaluation matrix of multiple index was assessed by the expert scoring method; Finally, the evaluation grade of comfort of high-speed train under multi-hierarchy was discussed by using the fuzzy comprehensive evaluation method combined with the weight and the fuzzy evaluation matrix of each multiple index . The evaluation method provided an effective theoretical support for comprehensive assessment research of comfort of high-speed train through the analysis of an example. This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications.
A Mutual Fund Investment Method Using Fruit Fly Optimization Algorithm and Neural Network
Authors: Huang Tsu Hua , Leu Yung Ho
Published: June 2014

This paper presents a method to construct a profitable portfolio of mutual funds for investors. This method comprises two stages. In the first stage, the DEA, Sharpe and Treynor indices of mutual funds and the monthly rates of return (ROR) of mutual funds are used to select a mutual fund portfolio. In the second stage, the linear regression model, the Fruit Fly Optimization Algorithm (FOA) and the General Regression Neural Network (GRNN) are used to construct a prediction model for the net asset values of each of the constituent mutual funds of the portfolio. The trade decision of a selected mutual fund is then made based on the rise or fall of its net asset value. The empirical results showed that, compared to other combinations, the combination of using Sharpe index for portfolio selection and the GRNN optimized with FOA for net asset value prediction offered the best accumulated return rate for the mutual fund portfolio investment.
Answer Extraction Model Based on Named Entity Recognition
Authors: Lu Yong He , Liang Ming Hui
Published: June 2014

The answer extraction model has a direct impact on the performance of the Automatic Question Answering System (QA System). In this paper, an answer extraction model based on named entity recognition was presented. It mainly answers specific questions whose answers are related with the named entity. Firstly, it classified the questions according to answer types. And then it identified named entities with suitable types in the fragmented information. Finally, it got the final answer based on scores. The experiments in the paper proved that the model could accurately answer the questions provided by Text REtrieval Conference (TREC). Thus, the proposed model is easy to implement and its performance is good for specific questions.
Causal Model Reconstruction of Complex Energy System Using Probabilistic Network Approach
Authors: Li Li Ping
Published: June 2014

This paper addresses the challenges in performance monitoring and degradation diagnosing of complex industrial process. A Bayesian network-based model was developed using real operation data of the system, and readings from multiple sensor sources were regarded as evidences to identify the root cause of process variations causing system degradation. An inferring process was executed with the belief network to output possible root causes of the process variation. Then, a probabilistic confidence level of controllable variables was recommended for optimizing operation. A full-scope simulator for the power plant unit is employed as an indispensable test bed for the probabilistic network model. To achieve a decision support simulation, a simulated operation database is generated through varying boundary parameters. The model was re-parameterized with the data from the simulated operation database. The simulation test results show that the model can properly represent the domain knowledge, and the decision advices are effective for such an elaborate work. The probabilistic model can tackle the problems which are indiscernible in conventional thermodynamic model-based analysis.
Joint Resources Assignment Scheme Based on Graph Coloring Theory and Harmony Search Theory for Cognitive Radio Networks
Authors: Sun Yi Xiao , Li Ya Zhen , Liu Fu Lai
Published: June 2014

Spectrum assignment and power assignment are both key technology to use spectrum resource for cognitive radio networks effectively. In this paper, an effective joint resources assignment method is proposed. The objective is to maximize the system throughput and to guarantee the quality of service for the users simultaneously. The method is based on harmony search algorithm and graph coloring theory. It gives a more proper representation of the interference between the users in our system model. Thus, the users can reuse the spectrum more effectively. Simulations show that the proposed method can achieve higher system throughput in the new model than that in the traditional graph model.
Locality-Route Pre-Configuration Mechanism for Latency Optimization in NoCs
Authors: Tang Xian Tuo , Zeng Guang Fu , Wang Feng , Xing Zuo Cheng , Feng Chao Chao
Published: June 2014

By exploiting communication temporal and spatial locality represented in actual applications, the paper proposes a locality-route pre-configuration mechanism (i.e. LRPC) on top of the Pseudo-Circuit scheme, to further accelerate network performance. Under the original Pseudo-circuit scheme, LRPC attempts to preconfigure another sharable crossbar connection at each input port within a single router when the pseudo circuit is invalid currently, so as to produce more available sharable route for packets transfer, and hence to enhance the reusability of the sharable route as well as communication performance. Our evaluation results using a cycle-accurate network simulator with traces from Splash-2 Benchmark show 5.4% and 31.6% improvement in overall network performance compared to Pseudo-Circuit and BASE_LR_SPC routers, respectively. Evaluated with synthetic workload traffic, at most 10.91% and 33.72% performance improvement can be achieved by the LRPC router under the Uniform-random, Bit-complement and Transpose traffic as compared to Pseudo-Circuit and BASE_LR_SPC routers.
The Study of Network Information System Security Strategy Based on Trusted Cloud Computing
Authors: Cao Yan Fei , Pan Jun Ming
Published: June 2014

This paper analyzed functions of the network information system based on trusted computing and trusted computing platform based on cloud computing. Raised the propose to expand the application of trusted computing technology to network information system, to meet the needs of cloud computing of trusted computing, trusted cloud computing, implement the trusted cloud computing. In our design, will take the Trusted Computing Platform (TCP) as the basis of cloud computing system, provide some important security functions to ensure the communication and data security.Finally put forward the implement methods.
Access Control Management of Cloud Storage System Based on NSSC in Mobile Network
Authors: Sun Miao Fan , Wang Sheng Sheng , Fang Zhi Yi , Wang Ying , Lu Shuai Bing , Zhu Chen He
Published: June 2014

This paper focuses on the access control management of cloud storage system based on NSSC in mobile network. NSSC (Network Security Service Center) is a new key service mechanism, which is responsible for network security service in mobile network management. Through experimental data comparative analysis, it proved high effectiveness and practicality of the NSSC in cloud storage system for access control management in mobile network.
Mobile Wireless Network Management System
Authors: Mu Hong Yang , Yuan Xue Guang , Wu Ying Na , Zhang Yang An
Published: June 2014

Mobile Wireless Network Management System provides a new concept in the research of network management. Supported by mobile terminals, the work achieves the mobilization of network management which is of great convenience and efficiency.
Tourism Information Service Reliability under Unconventional Events
Authors: Hu Tao , Jiang Wan Chi
Published: June 2014

Tourism is an information-based industry. As travelers need diverse information such as sightseeing, gastronomy, accommodation, traffic, shopping, amusement, it is important to gather abundant information before making sound decision for travel. In the meantime, tourism is specific with time, location, climate, real-time, abruptness, in addition to complex nature in change, and it is a key issue to present quantitative analysis on reliability of tourism information service (abbr. TIS). This paper focuses on improving the reliability of TIS, design the mechanism of the reliability of TIS by analyzing the psychology of people in unconventional event, find the key factors of the reliability of TIS, explore the way to get better reliability of TIS, point out some hidden perils of security to provide pre-warnings by emulation of the scenario of TIS in unconventional events. Its achievement will help to reduce or avoid life or property’s lost of human in the similar occasion of real world and it is also useful in other industries such as manufacturing, transportation and so on.
A Formal Method of Obligation Policy for Agent Interaction
Authors: Zhang Tao , Xie Hong , Huang Shao Bin
Published: June 2014

In Multi-Agent System, obligations are actions that agents are required to take or some states of affairs which should be maintained, formal modeling and verifying obligation policy which is high-level requirements specifications or communication protocol for constraining agent interaction can enhance the correctness of the system design. Therefore, in this paper a formal framework language for modeling obligation policy is introduced. In this method, the obligations are defined as a special social commitment, the state models of obligation are defined by classifying the obligation. Then we use the policy context and state model to formal the dynamic execution of obligation policy, finally the operational semantics of the framework language is defined as a state transition system which has Kripke semantic structure and it can be as formal foundation for model checking.
RE-Based Weighted Distributed Equipment Layout
Authors: Han Wen Ming , Zhang Tong Tong , Lv Jie , Jiang Jia Shang
Published: June 2014

Recent industry research shows that the existing layout configuration can not satisfy complex manufacturing of many production types. New layout strategy, especially distributed layout received more attention, has the potential to cope with demand interference. This paper attempts to use the method of resource element (RE) to consider equipment production capacity to design weighted distributed layout. Give a more explicit description of unique and common processing ability of devices and parts processing requirements. Considering the weights between REs and make more relevant REs adjacent, using genetic algorithm to construct RE-based weighted distributed layout, minimizing the total weighted minimum distance between REs to minimize material transportation costs.