bluuebunny/crossref_metadata_2025 huggingface dataset:
A Tool for Analyzing Science Standards and Curricula for 21st Century Science Education
Authors: Dani Danielle E. , Salloum Sara , Khishfe Rola , BouJaoude Saouma
Published: January 2015

Twentieth century curricula are no longer sufficient to prepare students for life and work in today's diverse, fast-paced, technologically driven, and media saturated world of the 21st century. This chapter presents a new framework for analyzing science standards and curricula to determine the extent of alignment with 21st Century essential understandings and skills. The Tool for Analyzing Science Standards and Curricula (TASSC) was developed using the conceptual frameworks proposed by the Partnership for 21st Century Skills, the Organization for Economic Co-Operation and Development, and the typology of knowledge proposed by Jurgen Habermas. Development of TASSC relied on an iterative process of refinement, testing, and discussions resulting in an instrument with three sections and related rating scales: content, skills, and additional curricular components. TASSC was piloted using middle school science standards and curricula in the context of two US states (Ohio and New York) and two Arab countries (Lebanon and Qatar). The analysis procedure and individual case study results are presented and discussed in the chapter.
TPACK Pathways that Facilitate CCSS Implementation for Secondary Mathematics Teacher Candidates
Authors: Borchelt Nathan , Faughn Axelle , Jaqua Kathy , Best Kate
Published: January 2015

Implementation of the Common Core State Standards in Mathematics has provided teacher educators a great opportunity to reexamine whether teacher preparation programs adequately provide the experiences to develop the base of knowledge and 21st century skills necessary to be effective teachers. The Mathematics TPACK Framework provides a roadmap for a series of pathways to integrate three knowledge components that are essential in teacher development: content knowledge, pedagogical knowledge, and technological knowledge. In this chapter, the authors examine how a teacher preparation program has evolved to integrate meaningful uses of digital technologies in content and pedagogy that are relevant to the teaching and learning of mathematics through the lens of implementing the Common Core State Standards.
Bridging the Academia-Industry Gap in Software Engineering
Authors: MacKellar Bonnie K. , Sabin Mihaela , Tucker Allen B.
Published: January 2015

Too often, computer science programs offer a software engineering course that emphasizes concepts, principles, and practical techniques, but fails to engage students in real-world software experiences. The authors have developed an approach to teaching undergraduate software engineering courses that integrates client-oriented project development and open source development practice. They call this approach the Client-Oriented Open Source Software (CO-FOSS) model. The advantages of this approach are that students are involved directly with a client, nonprofits gain a useful software application, and the project is available as open source for other students or organizations to extend and adapt. This chapter describes the motivation, elaborates the approach, and presents the results in substantial detail. The process is agile and the development framework is transferrable to other one-semester software engineering courses in a wide range of institutions.
Self-Regulated Learning as a Method to Develop Scientific Thinking
Authors: Burton Erin E. Peters
Published: January 2015

The development of skills and the rationale behind scientific thinking has been a major goal of science education. Research has shown merit in teaching the nature of science explicitly and reflectively. In this chapter, the authors discuss how research in a self-regulated learning theory has furthered this finding. Self-regulation frames student learning as cycling through three phases: forethought (cognitive processes that prepare the learner for learning such as goal setting), performance (employment of strategies and self-monitoring of progress), and self-reflection (evaluation of performance with the goal). Because students have little interaction with the inherent guidelines that drive the scientific enterprise, setting goals toward more sophisticated scientific thinking is difficult for them. However, teachers can help students set goals for scientific thinking by being explicit about how scientists and science function. In this way, teachers also explicitly set a standard against which students can self-monitor their performance during the learning and self-evaluate their success after the learning. In addition to summarizing the research on learning and teaching of self-regulation and scientific thinking, this chapter offers recommendations to reform science teaching from the field of educational psychology.
Developing an Online Mathematics Methods Course for Preservice Teachers
Authors: Polly Drew
Published: January 2015

This chapter presents the theoretical background and overview of the design of an asynchronous online mathematics pedagogy course taken by graduate students who are seeking their initial teacher certification. The authors provide the theoretical underpinnings for the design of the course, and then using design-based research, describe the refinement of the course over three iterations of designing and implementing the course. Lastly, implications for the design and delivery of asynchronous online courses are discussed.
Shaping the Librarian's Library
Authors: Searing Susan E.
Published: January 2015

Library and Information Science (LIS) is primarily a graduate program of study which prepares students for careers in librarianship and other information professions. However, faculty and students are not the only users of LIS collections in campus libraries; academic librarians also need LIS information to support their research and practice. Effective collection development for LIS is grounded in a well-thought-out policy statement and employs time-proven strategies including title-by-title ordering, approval plans, standing orders, and judicious acceptance of gifts. A well-rounded and responsive collection spans several publication formats and includes works from publishers that specialize in LIS content as well as non-commercial grey literature. The challenges that LIS selectors face include the proliferation of distance education programs, the interdisciplinarity of the field, the shifting landscape of electronic publishing, serial price increases, the drive for assessment, negative perceptions of the quality of the literature, and the need to promote collection use. Because there has been little written about LIS collection development practices, there are many opportunities for further research.
Kinect Application as Virtual Patient Assistant on the Example of the Shoulder Pain Exercises
Authors: Gądek-Moszczak Aneta , Syzdek Bartosz , Widzyk Przemysław , Radek Norbert
Published: January 2015

In the paper authors reports the first results of the working out application that would assistance and controls the patients during the rehabilitation exercise at home, what would effects in faster and more effective rehabilitation results. Proposed by authors conception of the application is programmed on the Kinect SDK environment and applies this simple and popular entertainment device to support rehabilitation process what ensure low costs of the implementation.
Assessment of GPU Computational Efficiency for Various Rendering Engines
Authors: Kocyłowska Elżbieta , Kołomycki Maciej
Published: January 2015

The article presents a comparison of the performance of multiple rendering engines for the Blender program. Rendering times for an example model were compared in this work. Both CPU and GPU execution modes were included, using the older, more economical cards based on the Fermi architecture (GeForce GT 440 in this case) and the newer, more efficient based on Kepler architecture (GeForce GTX 680).
PR Control of a Three-Phase Grid-Connected Inverter under Unbalanced Grid Voltages Condition
Authors: Liu Kun , Xie Zhen
Published: January 2015

The effective control of a grid-connected inverter (GCI) under unbalanced grid voltages condition is able to enhance the grid-connected operation ability of the inverter. This paper studies the control scheme of a three-phase GCI with proportional plus resonant (PR) regulators in the stationary αβ frame to remove the power ripples caused by the unbalanced condition and the currents of positive and negative components can be controlled directly without any decomposition. A precise and fast phase locked loop is also introduced in this paper. Three control targets are achieved on a 2KVA experimental platform of a GCI and the experimental results agree well with the theoretical analysis.
AGV Magnetic Sensor Data Acquisition System
Authors: Wang Wei Xin
Published: January 2015

Based on PNI11096 magnetic sensor data acquisition system can be used for path recognition of automatic guided vehicle (AGV). The use of the magnetic field on the path to produce paving soft magnetic strip, AGV at run time through the sensor detects the current relative to the magnetic field strength of soft magnetic data will be returned in the STM32 chip data processing after two values through the open collector output 16 bit IO, provide location information for AGV.
Suppression of High-Frequency Interference in Signal Loop
Authors: Zhao Guan Qun , Wang Ze Zhong , Dong Bo , Zhao Li Li , Wang Ke
Published: January 2015

With the deep and promotion of unattended work in substations, the correct rate of remote signal becomes an important index in automation scheduling system. For remote signal false caused by high-frequency interferences in substation, we propose the use of Ni-Zn ferrite ring to suppress high-frequency interferences. The frequency-impedance characteristics of ferrite ring with different turns are tested. And the inhibitory effect of ferrite ring on interferences below and above 100MHz is measured separately. We installed ferrite rings in remote signal loops, and compared the voltage waveforms before and after installation. Experimental results provide some references to suppress high-frequency interferences by Ni-Zn ferrite ring.
Distributed Cooperative Spectrum Sensing Algorithm Based on Average Consensus
Authors: Feng Yong Xiu , Bao Ai Qin , Zhang Deng Yin
Published: January 2015

The existing distributed spectrum sensing algorithms usually assume that the information in interaction channel is totally correct and did not consider noise effect. To solve these problems, a new distributed cooperative spectrum sensing scheme based on average consensus is investigated in this paper. Based on minimum mean square deviation criterion, we design an iterative matrix suitable for consensus algorithm with considering the noise of interaction channel. Simulation results show that the proposed method achieves better detection performance under noise effect of interaction channel and outperforms conventional scheme by 11% at-5dB signal to noise ratio (SNR) and 0.1 false alarm probability.
Reliability Oriented Selective Triple Modular Redundancy for SRAM-Based FPGAs
Authors: Zheng Mei Song , Wang Zi Long , Tu Ji , Wang Jun Ye , Li Li Jian
Published: January 2015

This paper presents an improved approach to Triple Modular Redundancy (TMR) which concerns don’ t care bits of LUT configuration bits and hence classifies the set of LUTs into SEU-sensitive and SEU-insensitive. Unlike the full TMR approach, the improved approach only triplicates SEU-sensitive LUTs and can greatly reduces the area overhead while maintaining the circuit reliability. The proposed approach is thoroughly tested on the MCNC’91 benchmarks. Compare with the full TMR method the proposed scheme can reduce the area overhead by 26.6% on average, at the same time the circuit reliability only reduced by 9.1 %. The improved approach can also increase mean time between failures (MTBF) by an average of six times more than the original circuit.
Key Technology of Hydraulic System Design of Large-Scale Blow Molding Machine
Authors: Chen You Wei
Published: January 2015

This paper carries on the simulation and optimization of hydraulic system, which focuses on the high energy consumption problem of large-scale blow molding machines. According to the characteristics of long work period and great fluctuation of flow demand, the paper designs the oil supplying system that can match the actuators’ hydraulic energy demand, introduces the working process of each component in the system, and analyzes the key technology of hydraulic system as well. The design and research avoids the shortcomings such as more components, complex debugging, discontinuous control and unstable operation, substantially reduces the installed capacity of variable pump and driving motor, and in the meantime, solves the impact problem of actuators effectively, which can make hydraulic system high efficiency, energy saving and run steadily.
Symbol Timing Sequence Structure for OFDM-CDMA Communication System under Low SNR
Authors: Zhang Zhen Yu , Tian Feng Chun , Zeng Fan Xin , Ge Li Jia , Xuan Gui Xin
Published: January 2015

Symbol synchronization offset of orthogonal frequency division multiplexing (OFDM) communication system will cause the rotation of data constellation at receiver even if such offset falls in the range of the appended cyclic prefix. When OFDM modulation is combined with spread spectrum technique, e.g., OFDM code division multiple access (OFDM-CDMA), the problem becomes more serious since OFDM-CDMA communication system generally works under very low signal-to-noise ratio. This paper focuses on symbol timing synchronization of OFDM-CDMA communication system and proposes an effective sequence structure on the basis of circular conjugate-symmetric properties of discrete Fourier transform. The proposed frequency-domain sequence not only can generate real time-domain signal to reduce calculation complexity, but also can resist peak-to-average power ratio of OFDM modulation by exploiting suitable computer search algorithm. The simulation results show a sharp cross-correlation peak can be obtained, which is quite helpful for accurate symbol timing synchronization of OFDM-CDMA communication system.
Coal Mine Voltage Fluctuation Analysis and Control Strategy
Authors: Meng Xiang Xia , Zhao Li Yong , Zhang Quan Zhu
Published: January 2015

Reasonable allocation reactive power compensation devices in coal mine system can not only develop power factor, it can also solve bus voltage fluctuation problem of coal mine system. By analyzing load characteristic in coal mine system, non-linear impulse load and induction motor can cause bus voltage fluctuation. The characteristic of SVC is that its response speed is quick and it can be adjusted continuously. But the price of SVC is expensive. Reasonable allocation method is that a portion SVC is installed in the bus that are connected with a number of non-linear impulse load and induction motor, SVC is only used to undertake fluctuation load. It can solve voltage fluctuation problem well. Simulation and analysis on WSCC-9 bus system testifies the validation of the proposed method.
Application of Four Quadrant Inverter for Mine Hoister
Authors: Chen Rong , Chen Ying Bo , Chen Jian Xiong
Published: January 2015

Four quadrant inverter used for mine consists of SEOHO[1] inverter of South Korean and explosion-proof cabinet and a series of hardwares and softwares (be in conformity with safety standards of mine). Applied in coal mine machines, making reasonable braking by using the principle of energy feedback. It can meet the special requirements of the mine lifting equipment, and providing the energy feedback to grid so as to strengthen braking effect and so on. In addition, SEOHO inverter of the South Korean has a special active-front-end (AFE), AFE rectifier unit/feedback [2] derive sine wave AC from the grid, generating DC voltage output by rectification, and maintaining the required voltage value. Every harmonic wave is deleted by filter circuit. Meanwhile, the huge economic benefits and energy-saving profits have been gained when the four quadrant inverter is used.
A Novel Tri-Band Ultra-Wideband Antenna with Deformed Split Ring Resonator for WLAN/WIMAX Applications
Authors: Zheng Xiang Lai , Shi Qing Fan , Lu Dan Feng , Ji Chang Yi
Published: January 2015

With the increasing demand for different applications of antennas, especially multi-band and ultra-wideband antenna, we propose a novel tri-band, ultra-wideband (UWB) antenna with deformed split ring resonator (DSRR). The antenna consists of a partly covered ground plane and a deformed split ring resonator. By integrating the partly covered ground plane and the deformed split ring resonator and optimizing with CST Microwave Studio numerically, the proposed antenna produces three working bands ranging from 2.87GHz to 3.92GHz, 5.08 to 6.30GHz and 7.55 to 9.32GHz, which also satisfy the requirement of UWB. The three working bands cover the WIMAX band in 3.5GHz, the WLAN bands in 5.2/5.8GHz, and X-band, respectively. The radiation pattern is omnidirectional and the direction gain at every frequency is above 3.2 dBi. So the proposed antenna is suitable for multi-band communication applications.
Micro-Grid Power Quality Management
Authors: Gao Zhi Qiang , Chu Hua Yu , Meng Liang , Sheng Si Qing , Sun Zhong Ji , Yang Xiao , Liang Bin
Published: January 2015

As distribute power generation and micro-grid technology develops, more and more researchers attach importance to the problems of power quality in micro-grid, especially the problem of harmonic. This paper describes the impact and harm harmonic has on the power quality of the power grid. It introduces a revised method of managing micro-grid harmonics which uses an active power filter (APF), and the control method of APF is different from the traditional one. It also establishes the simulation model of micro-grid, analyze the simulation results and experiment in actual micro-grid to verify the effectiveness of the proposed method.
Dynamic Performance Analysis of Extended Range/Plug-In Electric Bus
Authors: Chen Hong Wei , Zhang Xin , Zhang Xiao Shuai
Published: January 2015

A new type powertrain system architecture for city electric bus was introduced, which combines the function of Extended-Range Electric Vehicle (E-REV) and Plug-in Hybrid Electric Vehicle (P-HEV). Five driving modes were designed and its dynamics were analyzed. Numerical method on dynamics was proposed. The dynamic performance parameter of five drive modes were calculated and analyzed. The results indicate that the dynamic performance reaches the limit value at full drive mode and meet the requirement of city bus.
Exergy Distribution Characters Analysis of a 130t/h Biomass-Fired Boiler
Authors: Yang Fang , Dong Chang Qing , Kang Zhi Zhong , Zheng Zong Ming , Hu Xiao Ying
Published: January 2015

Currently, most of the boilers in power plant are designed by the heat balance based on first law of thermodynamics only, and it analyses the condition of using energy from the perspective of quantity of energy. However, The real energy utilization should be justified not only from the quantity but also from the quality, because the quality of energy based on second law of thermodynamics can reflect the irreversibility in processes and components. In order to revealing the real energy losses, we must establish exergy analysis model of 130t/h Biomass-Fired Boiler. This article calculates the exergy losses of all kinds of boiler surface and the overall exergy efficiency of boiler, together with exergy distribution characters analysis result of 130t/h Biomass-Fired Boiler. The results obtained open out the greatest exergy loss and the place to generate these losses of boiler, and provide scientific gist for improving utilization of boiler energy.
Research of Modeling Method of Transmission Line Information Based on IEC61850
Authors: Zhai Xue Ming , An Long , Xia Huan
Published: January 2015

Currently the IEC 61850 standard for the transmission line has not been established a complete data model, restricting the development of smart grid. This paper is based on the study of the IEC 61850 standard, and information on major transmission lines were analyzed in detail, in accordance with the standard information of transmission line model based on IEC 61850 was established.
A Backoff Algorithm for LOWPAN Based on the Dynamically Backoff Exponent
Authors: Zhang Ya Jun , Shi Jin Liang , Chen Guo Rong
Published: January 2015

A mechanism that the backoff exponent changes dynamically was proposed aiming at the poor performance of backoff algorithm in IEEE 802.15.4 MAC protocol. The algorithm could adjust the initial backoff exponent according to the previous transmission status and the backoff exponent. A Markov chain model for the algorithm was established and the mathematical derivation for the model was carried out. The theoretical analysis and simulation results show that the model increases the channel access probability and system throughput. The optimized algorithm improves the performance of LOWPAN effectively.
Design of FPGA-Based Missile-Borne Image Acquisition and Storage Recorder
Authors: Lu Lin , Zhang Yan Feng , Li Xiao Feng
Published: January 2015

The high-altitude missile and other special application occasions have requirements on image storage system, such as small size, high storage speed, low temperature resistance, etc. Commonly used image storage system in the market cannot meet such requirement. In the paper, real-time image storage system solutions on missile based on FPGA should be proposed. The system mainly consists of acquisition module and memory reading module. The whole system adopts FPGA as main control chip for mainly completing real-time decoding and acquisition on one path of PAL format video images, reading and writing of NandFlash chipset, erasure, bad block management and so on. The solution has passed various environmental tests with stable performance, large data storage capacity and easy expansion, which has been used in engineering practice.
UPT Chaos-Based Encryption Characteristic Analysis for Speech Signal
Authors: Chen Hong , Chen Cheng , Gu Shu Bin
Published: January 2015

In chaotic speech signal encryption, masking is the most direct and convenient method. But the chaotic signals usually have a narrow spectral range in low frequency region. In order to overcome the disadvantage that the higher frequency signals can not be completely covered up, UPT is used to conduct a nonlinear transformation to chaotic signal. After UPT, chaotic types are increased, chaotic characteristics are improved and spectral range is widened. Simulation experiments are done respectively from frequency domain and spectrogram perspectives. The chaos before and after transformation are used to mask speech signal. Decoding experiment is taken on the speech encrypted by transformed chaos. Experiment results show that, after UPT, the encryption effect of speech signal is improved obviously. This method has a high security and a strong anti-attack ability.
Analysis and Research of Mobile Station Location Based on NLOS Error
Authors: Xu Yan Ying , Bao Song Jian , Wang Yu Lin
Published: January 2015

Existed in the work of wireless positioning error, the need to suppress NLOS (Non line of sight) transmission problem of positioning the bad influence of the NLOS system model is put forward and the novel geometric positioning model, the introduction of appropriate NLOS channels model to suppress NLOS error, and make full use of the propagation characteristics of derived meet MS (Mobile Station) coordinates equation, with two NLOS paths can only calculate the position of MS, and using only a single base Station can complete the MS positioning, overcome the base Station number too little to pinpoint the flaws of the MS. This paper also gives a method of least squares and maximum likelihood algorithm, using the NLOS paths to improve the positioning accuracy. So as to realize the movement of the MS in NLOS environment position tracking. Through the theoretical analysis and computer simulation analysis, the results show that the positioning method in NLOS environment on the effectiveness and accuracy of the MS positioning.
A New Algorithm for Solving TSP and its Applications
Authors: Huo Li , Jiang Bo , Ning Tao
Published: January 2015

A new algorithm for TSP which is an improved ACO combined with MMAS and CSDT is proposed. MMAS can prevent the search from local optimum and search stagnation. We use candidate set strategy based on the Delaunay triangle (CSDT) in order to reduce serch space and accelerate the speed of the algorithm. Additionally, pheromone update and parameter optimization are detailed in this paper. The comparison analysis of the new algorithm, basic ant colony algorithm and MMAS algorithm is also given by using TSPLIB experimental data. Finally, we give an actual TSP case and compute the optimum solution by our new algorithm.The results show that the new algorithm is validity and effectively.
A Traffic Prediction Method Based on the Hybrid Model of CLWT
Authors: Fei Jin Long , Lin Wei , Han Tao , Zhu Yue Fei
Published: January 2015

Current prediction models for network traffic cannot accurately depict the multi-properties of the Internet traffic. This paper proposes a wavelet-based hybrid model prediction method for network traffic called CLWT model and proposes a prediction method for traffic based on this model. The traffic time series can be rapidly decomposed respectively into approximate time series and detail time series with LF and HF response. The approximate time series predicts by making use of Least Squares Support Vector Machine and proceeds error calibration by using Generalized Recurrent Nerve Network. The detail time series predict it by making use of self-adaption chaotic prediction methods after the medium-soft threshold noise reduction. Finally the prediction value of time series is got by making use of promoting wavelet reconstitution. The effectiveness for the prediction methods mentioned in the paper has been validated by simulation experiment. High prediction accuracy is obtained compared with the existing methods.
Approximate Calculation of the Fundamental Frequency for Beam System Structures
Authors: Chen Yu Ji
Published: January 2015

The calculation of the fundamental frequency for the beam system structures is the important content in the dynamic design of the structure. This paper takes the basic unknown numbers of the displacement method to express the deformation of each member in the beam system structure. The calculation method of the fundamental frequency for beam system structures is got by the energy variational method. The method is very simply and could provide reference for the design of beam system structures.
Energy-Saving Scheduling Algorithm of Public Transport Bus Based on Passenger Flow Distribution in Different Time
Authors: Shi Li Yan
Published: January 2015

The bus scheduling algorithm is researched and the algorithm is improved, the traditional bus scheduling algorithm has not fully considered the time-sharing distribution of passengers, the shift scheduling is not reasonable, resulted in the waste of resources, and the passenger satisfaction rate is low. An improved bus scheduling algorithm is proposed based on time-sharing passenger flow distribution and statistical prediction. According to the past period of time, the statistics record data are collected, and the passenger flow of each period and each line of the station are calculated. The required number of buses of each period time is determined, the optimal solution of energy saving buses scheduling result is obtained. The experimental results show that, the new method can consider the passenger flow distribution of each time, and it can greatly improve the full-load ratio of bus, the bus scheduling optimal scheme is obtained, it has good application value in practice.
Improved Algorithm Based on Item Code and Rough Intensive Reduction Algorithm in the Application of Disease of Vegetable Leaf Image Mining
Authors: Luo Xiao Li
Published: January 2015

According to the low efficiency of vegetable leaf image data mining problems, proposed an improved algorithm based on Apriori algorithm to get greatly related groups. Using rough intensive set algorithm and further processing, excavated every attribute correlation of disease by reasonable divided attribute interval. conclusion shows that the most associated with the suffering degree of size and color, grayscale average.
Intelligent Optimization of Urban Real-Time Traffic Route Based on DNA Non-Dominated Sorting Genetic Algorithm
Authors: Zhu Min , Su Bo , Ning Gang Min
Published: January 2015

The urban traffic condition is changed timely, so the traditional serial algorithm cannot satisfy the requirement of traffic scale and condition changes. Therefore, this paper proposes a DNA non-dominated sorting genetic algorithm for route optimization problem of multi-objects. First, through Pareto frontiers solution set optimization and algorithm complexity analysis, we determine the multi-objects problem to be optimized. Then we convert the problem into optimization problem of single-object fitness function, namely the elite populations optimization strategy, through which we can obtain the optimal solution of timely traffic condition.
Modeling Method Based on Smooth Support Vector Regression with Independent Component Analysis Feature Extraction
Authors: Gan Xu Sheng , Tang Xue Qin , Gao Hai Long
Published: January 2015

Smooth Support Vector Regression (SSVR) is new modified edition of traditional support vector regression for better performance. To further improve the modeling capability of SSVR, it is necessary to take into account the feature extraction based on Independent Component Analysis (ICA) before SSVR. Simulation on the example of function approximation shows that the result of SSVR based on ICA feature extraction is better than that of SSVR without ICA preprocess.
Stress Analysis of Air Compressor Crankshaft Based on ANSYS
Authors: Zhou Xin Xiang , Yang Feng Zhen , Lei Xing Long , Cong Tian Shu
Published: January 2015

The paper uses the preprocessor of ANSYS to generate the model of 3D entity and mesh generation on WW0.8/10 air compressor crankshaft. Mesh generators are transferred into data that will be used in finite element analysis. Passing by dealing with force and commitment, it calculates the forces of pressure working conditions of crankshaft. They are used in stress analysis. The stress data is calculated from the calculator of ANSYS. The static load safe coefficient and the fatigue safe coefficient of the crankshaft are tested from known stress. The result provides a high reference value for the optimization improvement of the crankshaft.
Research of Topology Optimization of Nodal Density Based on Bilinear Interpolation
Authors: Du Yi Xian , Yan Shuang Qiao , Xie Huang Hai , Zhang Yan , Tian Qi Hua
Published: January 2015

With the purpose to overcome the numerical instabilities and to generate more distinct structural layouts in the topology optimization, by using bilinear interpolation function, a topology optimization model of density interpolation based on nodal density is established, smooth density field is constructed. This method can ensure that the density field in the fixed design domain owns C0 continuity, and checkerboard patterns are naturally avoided in the nature of mathematics. After adding the sensitivity filtering, the optimal structures are smoother and have lesser details, which is helpful for manufacturing. Two numerical examples show that not only checkerboard pattern can be solved by the proposed method, but also the middle density nodal can be suppressed effectively.
Research on Digital Watermarking Algorithm Based on Discrete Wavelet Transform and Singular Value Decomposition
Authors: Wang Yan Yu
Published: January 2015

Digital watermarking technology has become an important means of integrity and respect for people's authenticity, as well as users of copyright and intellectual property security and other interests such as the protection of digital works. In this paper, we proposed a watermarking algorithm based on discrete wavelet transform (DWT) of image and singular valued composition (SVD). The original image is decomposed with DWT,the watermarking image is decomposed with SVD after chaotic scrambling,and then the singular values of watermarking are embedded into some coefficients of decomposed original image. In this algorithm, after decomposing the original host image into four bands, we apply the SVD to watermark image,and modify DWT coefficients of the host image with the singular values of the watermark image. The outstanding features of the proposed algorithm are that it provides larger watermarking capacity and is more robust than others.
Simulation and Prediction of Excellent Students Based on System Dynamics
Authors: Qi Pei Qin , Chen Yong Feng
Published: January 2015

This article analysis the fundamental reasons of the universities recruiting excellent students from the perspective of systems engineering and establish a system dynamics model. Using vensim analysis the impact of recruiting , cultivating excellent students and the loss of them on the total amount of excellent students. While Long-term state of the system is predicted. Through comparing the two programs that the initial cultivation degree and recruiting efficiency are respectively as independent variables and the total amount of excellent students as dependent variable it can provide a reference for the system of university recruiting.
The Reasonable Length Study of Fishing Quay by Flexible Berthing
Authors: Gui Jin Song , Bi En Kai , Wen Zhi Chao
Published: January 2015

Current fishing port regulation on the number of berths calculation, is taking the method of fixed berthing, regarding every berth as an independent one. This paper analyzes the characteristic of fishing docks by flexible berthing, use Arena to solve out the optimal length of shoreline under the condition of fixed through capacity. Then, compare the results with that calculated by the way of fixed berthing, 11.7% of the shoreline length can be saved, which has demonstrate its advantage.
The Traffic Flow Model of Intelligent Transportation System
Authors: Jiao Hong Ying , Liang Fang Chi , Rao Yi
Published: January 2015

In this paper, we develop models to analyze traffic flow of intelligent transportation system (ITS).The investigation into ITS is carried out in two aspects: one is the partly ITS, the other is the completely ITS. Comparisons between two systems show: with the increasing of intelligence degree, the superiority of each rule becomes more and more obvious. As is mentioned above, each rule is the most ideal for certain traffic state. While the detailed forms of different rules are not the same, the purpose of all rules is to promote the traffic flow. The phenomenon reveals the consistency of the ITS. In another word, the higher the intelligence degree of a system is, the larger its contributions to the traffic flow are.
Weapon Target Assignment Problem Solving Based on Hungarian Algorithm
Authors: Cheng Yuan Zeng , Zhang Pei Chao , Cao Bin Qian
Published: January 2015

Weapon target assignment problem is most critical in modern warfare command decision of a problem for the weapon system and a relatively small number of targets assignment problem, you can use the Hungarian algorithm. Hungarian algorithm can solve the assignment problem, but under normal circumstances, weapon target assignment problem does not have the form of a mathematical model of assignment problem, through dummy weapon system or target method, the weapon target assignment problem is transformed into a standard assignment problem, and then solved by the Hungarian algorithm.
Parallelization and Locality Optimization Based the Polyhedral Model
Authors: Lv Peng Wei , Xiao Jian Qing
Published: January 2015

Current trends in micro-architecture are towards larger number of processing elements on a single chip. It is challenging to tap the peak performance of those processors. In order to address this issue, the most promising solution is automatic parallelization. This approach does not require programmer too much effort in the process of parallelizing programs. Polyhedral model is a mathematical framework based on the powerful linear integer programming, which provides an abstraction concept to represent the nested loops computing and dependence of data access using integer points in the polyhedron. We propose an automatic transformation framework based on polyhedral model to optimize nested loop with affine dependences for parallelism and locality.
Tracking Algorithm Design and Comparison of High Speed High Maneuvering Target
Authors: Wang Xiu Fang , Peng Jin Ye , Chen Bin , Qi Wei
Published: January 2015

Aiming at the problem that the traditional tracking method cannot track high speed high maneuvering target effectively, one modified fixed structure multiple model algorithm (M-FSMM) and one modified variable structure multiple model (M-VSMM) algorithm were proposed. The Constant Velocity (CV) model, Current Statistical (CS) and Modified Coordinate Turn (MCT) model were adopted in the M-FSMM algorithm, by means of Connected Graph (CG) thinking, the model connected graph was made up by models that can describe possible motion, the connected relation was set up and model self-adapting was designed to carry out the variable structure tracking that can quickly jump between models. Monte Carlo simulation results show that the two methods can track high speed high maneuvering target effectively, the computational quantum of M-FVMM algorithm is larger but the tracking accuracy and stability are better than the M-FSMM algorithm. They can be used to track near space hypersonic targets.
A Novel Hurst Method to Determine Gas Eruption Period
Authors: Su Hang , Cao Kai Chen , Wang Yu Zhe , Xue Hui Wen
Published: January 2015

In order to have more accurate analysis about the eruption period of gas eruption under a coal mine system, fractal geometry theory was introduced. Based on field test data, a novel R / S analysis method was used to calculate the Hurst parameter, which determined the persistence correlation of the gas system, and eruption period was calculated subsequently. The period was used by the coal mine factory to arrange the manufacturing process and for three years no accident about gas eruption under the coal mine was reported.
Nonparametric Survival Analysis of Non-Motor Vehicles Violation in Signal Intersection
Authors: Hao Pan , Cheng Wei
Published: January 2015

The research objectives were to investigate non-motor vehicle violation in signal intersection by studying behavior analysis. Non-motor vehicles’ street-crossing behavior was examined by modeling the non-motor vehicles waiting time survival function at signalized crosswalk through survival analysis method. Statistical and analysis of the filtered traffic parameters such as drivers, road conditions and other factors on the age obtained regularities of non-motor vehicles violation and a contrast and reference value with pedestrians’ violation serving as evaluation of the crowd and traffic characteristics for non-motor vehicles violation which can be used on other similar traffic behavior analysis and has some reference value.
Human Action Recognition Based on Improved MIL
Authors: Zhu Shao Ping
Published: January 2015

According to the problem that achieves robust human actions recognition from image sequences in computer vision, using the Iterative Querying Heuristic algorithm as a guide, a improved Multiple Instance Learning (MIL) method is proposed for human action recognition in video image sequences. Experiments show that the new method can quickly recognize human actions and achieve high recognition rates, and on the Weizmann database validate our analysis.
Evaluating the Effect of PCD End Mill’s Nose Radius on Machinability of Titanium Alloy Ti-6Al-4V in High Speed Milling
Authors: Ali Abbasi Sarwar , Feng Ping Fa
Published: January 2015

Tool nose radius is an important geometrical parameter in the design of the tool. Due to its direct contact with the workpiece surface it have significant effect not only on the resulting surface quality but also on the tool life. Use of an end mill without nose radius can easily blend during machining due to a lot of stresses acting on the edge of the tool while the large nose radius end mill can increase the strength and rigidity of the tool but can also contribute in increasing the friction between the tool and the workpiece. Therefore careful selection of tool nose radius is important and especially important for Polycrystalline Diamond, PCD insert as this tool material has recently shown great success in terms of tool life, surface roughness and productivity over coated and uncoated carbide tools in high speed end milling of titanium alloy Ti-6Al-4V and with the use of correct tool geometry it can be further helpful in increasing tool life and surface quality. This study therefore investigates the effect of various nose radii’s (R0.1,0.2,0.4,0.8,1.2,1.6,2.4,3.2) and complete round insert end mill on cutting forces and heat distribution between tool and the chip for PCD insert and compare the results with multi-layer (Al2O3+TiAlN+TiN) coated carbide tool at high speed cutting conditions using 3-D finite element numerical simulations. Results have shown that both tools due to their difference in thermal and mechanical properties have different behavior under the conditions studied especially when the complete round insert tool is used. The use of small nose radius tool when nose radius rn is less than the axial depth of cut ap, the forces and the temperature remains quite low and slightly increases with the increase of radius until rn is smaller than ap but when rn gets larger than ap and only some portion of nose radius is involved in cutting, then forces and temperature increases considerably. While when complete round insert end mill is used the forces and temperature significantly drops (more than 50% than the largest nose radius tool studied) at the same ap for PCD insert but for multi-layer coated carbide tool it drops only slightly (20% than the largest nose radius tool studied). The reason for this difference lies in the fact that PCD tool has lower toughness, high hot strength and is more brittle than carbide tools and therefore maximum advantage can be taken only when small nose radius is used or when complete round insert tool is used as complete round insert have uniform stress distribution and also provides more stability for PCD tool material while large nose radius tool increases friction and also has more heat penetration in the tool thus resulting in higher cutting forces and temperature thus ultimately contributing in high wear of tool. While on the other hand carbide tools are only beneficial when smaller nose radius tool is used rather than round shape because of lower hot strength of the material.
A New Web Application Framework Based on SSH
Authors: Xing Cui Fang , Wang Feng Qin , Sun Yang
Published: January 2015

The existing web frameworks focused on the encapsulation of bottom technical, could not commendably support large granularity and lack corresponding mechanism in terms of reusability and maneuverability.In the current study, a new web application framework NSSH was developed from by SSH frameworks.The new framework with characteristic of large granularity and high level reusability separated and encapsulated the presentation layer,business layer and data persistence layer,simplified the development of Web application,improved the usability, reliability and extendibility.Based on the design of NSSH,the application development platform was put forward which make the web application developer free from heavy low level code programming works and be able to pay more attention to the description of business logic and definition of user interface.The practice had proved that NSSH was applicable for developing large-scale web application by enhancing the efficiency of those complex systems.
A Research on New Type of P2P Based Botnet
Authors: Song Rui Long , Lv Hong Wei , Li Xiao Kai
Published: January 2015

This research points out the negative effects given by malware attacks first, then put forward that the botnet is the major threaten to the network security especially the new hybrid P2P based botnet. The research mainly focuses on introducing the mechanism of this new type botnet and proposes the defense method in order to construct a safe network platform.
Study on Interaction Theory of Thermal Distortion Friction Pairs and Effect on Friction Coefficient
Authors: Li Jie , Wang Xiao Yan , Wang Zhi Yong
Published: January 2015

The thermal distortion of friction pair will be produced in high line speed frictioning. For solving interaction theory from this problem, thermal distortion micro-bulges model of two interaction friction surfaces is built by ways of micro-interaction dynamics, and equations of contact forces of micro-bulges are obtained. By using mathematic statistics and normalization, equations of macro-normal and tangential contact forces are obtained, and relation between friction coefficient and micro-parameters is found. Contact forces and friction coefficient characteristics expressed by parameters of dimensionless clearance and curvature are simulated. The results show that the interaction theory is important in deeper understanding friction and wear theory in high line speed running, and offers reliable proof for future finer structure design of friction pair and model design of clutch.
Modeling Internet Backbone Traffic Based on Multi-Commodity Flow
Authors: Wu Yuan Li , Si Guang Ya , Wang Yan Zheng , Luo Pi
Published: January 2015

Network traffic is the key factor to describe the adaptive business of Internet. As Internet becomes key battlefield of cyber warfare, how to model the Internet traffic at the macro level has become a hot research topic in war simulation and cyber warfare. Focusing on the global undersea cable system which serves as the backbone of the Internet, this paper proposes an Internet traffic modeling method based on multi-commodity flow. This method can estimate the traffic demand between each pair of regions, generate traffic flow distribution in global undersea cable system, and support adaptive adjustment of Internet traffic according to damage situation of undersea cable system in a crisis. Finally, the method is validated by an example.
Research of Web-Page Multi-Class Classification System Based on Support Vector Machine
Authors: Chen Feng , Chen Rong , Wang Gen Cheng
Published: January 2015

A Chinese web-page classification algorithm based on SVM including the important aspects of text preprocessing, feature selection and multiple-Classification algorithm. In this paper, based on the analyses of features of Web documents, this paper does research the approach of classification in Support Vector Machine (SVM) and select of Kernel function. Furthermore, a web-page classification model and algorithm that is based on Binary Tree SVM is presented. The experiments show that it not only reduces the size of train set, but also has very high training efficiency. Its precision and recall are better.
Dynamic Simulation of FCCU under Abnormal Condition
Authors: Tian Wen De , Mu Shan Jun , Jin Man Man , Wang Chun Li , Li Chuan Kun
Published: January 2015

The dynamic mathematical model of FCCU reactor was established. Reaction kinetics uses five parameter lumped model, with components emulated by similar hydrocarbons. Simulation system was built to simulate normal conditions, and the effect of some abnormal conditions on charred tank’s exit oxygen content, charred tank’s temperature (not cooled), charred tank’s temperature (cooled) were studied. Because the abnormal condition is the combustion of regenerator’s dilute phase’s extremity, this paper used the amount of carbon monoxide’s combustion to simulate this abnormal condition.With the variation of the charred tank’s exported oxygen content or temperature reflects the degree of dilute phase’s combustion. The results show that the dynamic simulation of the system can accurately simulate the cracking reactor abnormal condition.