bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Grain Purchasing Location Based on Immunity Algorithm
Authors: Gong Bo , Wang Wen Tao , Huang Yi , Yuan Li
Published: September 2012

It is very important to the farmers and government that how to choose correctly grain purchasing location, resulting from villages and towns mergence. First, this thesis considers grain purchasing location which will result in the effects of mutual costs. Then it offers Mathematical Models on location problem based on the way of Computer Immune Algorithm and uses Matlab to write the corresponding program. Finally, through the examples of simulation, it is proved that this Algorithm has many advantages, such as fast convergence, optimization success rate and so on.
A Data Drivered Refresh with Multi-Bit Error-Correcting Power Optimize Method for Cache Based eDRAM
Authors: Guo Yu Feng
Published: September 2012

Power problem has been one of most restricting the development barriers of processor. With enhancing of computer performance, there must be large cache to hide memory latency. Large cache can be consisted on one chip based eDRAM which has high density. Unfortunately, eDRAM must be refreshed frequently to maintain data, which would increase cache power. The paper aims at refresh problem of eDRAM, and put forwards a data drivered refresh with multi-bit error-correcting power optimize method. The experimental results show that the method which we put forward can greatly reduce the refresh power of eDRAM.
Unsupervised Kernel Learning Vector Quantization
Authors: Wu Kuo Lung
Published: September 2012

In this paper, we propose an unsupervised kernel learning vector quantization (UKLVQ) algorithm that combines the concepts of the kernel method and traditional unsupervised learning vector quantization (ULVQ). We first use the definition of the shadow kernel to give a general representation of the UKLVQ method and then easily implement the UKLVQ algorithm with a well-defined objective function in which traditional unsupervised learning vector quantization (ULVQ) becomes a special case of UKLVQ. We also analyze the robustness of our proposed learning algorithm by means of a sensitivity curve. In our simulations, the UKLVQ with Gaussian kernel has a bounded sensitivity curve and is thus robust to noise. The robustness and accuracy of the proposed UKLVQ algorithm is also demonstrated via numerical examples.
PID Optimization with Regulation-Based Formulas and Improved Differential Evolution Algorithm
Authors: Ni Gui Jie , Wang Peng , Liu Lin
Published: September 2012

Regulation-based formulas and improved Differential Evolution(DE) algorithm is used to optimize PID parameters. In order to improve the global search ability and the convergence rate of the common DE algorithm, self-adaptive method is introduced to obtain DE parameters. On the other hand, initial population quality of DE algorithm has important influence on convergence of the algorithm. So the regulation-based formulas are used to guide the production of initial population, which is good to improve the convergence rate and realize obtaining of PID parameters completely adaptive without any personal experience. The simulation is developed on steam temperature system of cycle fluidized bed boiler with serious parameter uncertainties and many disturbance and long-time delay. The results show that the improved DE algorithm has higher optimal speed, small amount of calculation and effective optimization of parameters. The proposed method has better control quality and system robustness.
Feedback Searching Bias and Measurement of its Effect on Ant Colony Optimization
Authors: Chen Bo Lun , Chen Ling
Published: September 2012

One of the obstacles in applying ant colony optimization (ACO) to the combinatorial optimization is that the search process is sometimes biased by algorithm features such as the pheromone model and the solution construction process. Due to such searching bias, ant colony optimization cannot converge to the optimal solution for some problems. In this paper, we discover and define a new type of searching bias in ACO named feedback bias. We empirically prove the existence of feedback bias and its influence on ACO. We also present the concept of intensity of bias as a measurement of the effect on ACO by such bias. Our experimental results show that it is reasonable and reliable to use the intensity to measure the influence of bias on ACO.
A Modified Multi-Secret Visual Cryptography with Ring Shares
Authors: Fu Zheng Xin , Yu Bin
Published: September 2012

A visual cryptography scheme encoding multiple secret images into two ring shares is proposed in this paper. In the secret sharing process, two shares are produced by the marked areas and the basis matrices of (2, 2)-VCS. Using ring shift right function, the secret images are recovered by stacking two shares. The security and contrast properties of the scheme have been proved. Compared with the previous ones, the scheme makes the number of secret images unlimited. Furthermore, the pixel expansion and the relative difference are improved greatly.
Design of GPS-Based Intelligent Logistics Management System
Authors: Li Yi Ming , Bai Lan , Feng Xiao Ming , Guan Hang
Published: September 2012

The GPS system is in order to the logistics and transport process. Customers through the GPS system can real-time understanding of the goods in transit, and projections to reach the destination time. GPS can provide the vehicle location, security, anti-robbery, driving the route monitoring and call conductor. To achieve all of the above features must have the three elements of the GPS terminal, transmission network and monitoring platform. Intelligent logistics management system goal is precisely for large and medium-sized logistics enterprises a set of functional, practical and intelligent logistics solutions for the rapid response capability. The paper puts forward the design of GPS-based intelligent logistics management system.
Research of Ontology-Based Agricultural Geographic Information Service Matchmaking
Authors: Shi Bin , Zhu Ye Ping , Li Feng , Zhao Chun Jiang , Pan Yu Chun
Published: September 2012

A semantic model is proposed in this paper for geographic information service composition. It descript the content of service and user request semantically based on ontology, it takes process model of composited service into account to improve the efficiency of service matching Algorithm. The matchmaker affords to obtain the services list as result to meet the intent of user by advanced matching Algorithm. The result of experiment shows that the method this paper proposed performs well.
Short-Term Traffic State Forecasting for Dynamic Traffic Routing System
Authors: Ru Hua Suo , Peng De Pin , Gao Lian Xiong , Zhou Yuan
Published: September 2012

The paper researches the problem of how to forecast traffic information in one minute interval. A kalman filter algorithm for short-term traffic forecasting based on the construction of dynamic traffic routing system of Nanning city of China was proposed in this paper, and selected National Road as field calibration, which compared with the real traffic conditions, and the error of predicted results is less than 10%. The results demonstrate the effectiveness of the proposed forecasting model in paper, and the research has a significant contribution for data process of Dynamic Traffic Routing System.
Improved VLR Group Signature Based on DTDH Assumption
Authors: Ma Li Zhen
Published: September 2012

In VLR (verifier-local revocation) group signatures, revocation messages are only sent to signature verifiers (as opposed to both signers and verifiers). Consequently there is no need to contact individual signers when some user is revoked. Since signers have no load, the VLR group signature schemes are suitable for mobile environments. To meet the requirement of speediness in mobile communication, reducing computation costs and shortening signature length are two requirements at the current research of VLR group signatures. Based on this idea, an improved version of Zhou’s VLR group signature is given. Compared with the original scheme, the improved scheme not only can achieve the same security level, but also has shorter signature size and lower computation costs.
A Novel E-Commerce Negotiation Optimization Model Based on Improved Genetic Algorithm
Authors: Liu Yang
Published: September 2012

Electronic commerce has rapidly become a major player in the business market .This paper proposes a new electronic commerce negotiation optimization model based on improved genetic algorithm which depends on not only price, but also other factors of commodity. The proposed model illustrates the relationship between the business components required to support the e-commerce processes with the value creation factor and the controlling complexity. The experiment results show that the proposed algorithm can gain the optimal negotiation result more efficiently than other three kinds of negotiation algorithms in competitive bilateral multi-issue negotiation.
Graph Regularized Semi-Supervised Concept Factorization
Authors: Shi Yu Qing , Du Shi Qiang , Wang Wei Lan
Published: September 2012

Concept Factorization (CF) is a new matrix decomposition technique for data representation. A modified CF algorithm called Graph Regularized Semi-supervised Concept Factorization (GRSCF) is proposed for addressing the limitations of CF and Local Consistent Concept Factorization (LCCF), which did not consider the geometric structure or the label information of the data. GRSCF preserves the intrinsic geometry of data as regularized term and use the label information as semi-supervised learning, it makes nearby samples with the same class-label are more compact, and nearby classes are separated. Compared with Non-Negative Matrix Factorization (NMF), CNMF, CF and LCCF, experiment results on ORL face database and Coil20 image database have shown that the proposed method achieves better clustering results.
Construction Search Engine Based on Formal Concept Analysis and Association Rule Mining
Authors: Xu Hong Sheng
Published: September 2012

In the form of background in the form of concept partial relation to the corresponding concept lattice, concept lattice is the core data structure of formal concept analysis. Association rule mining process includes two phases: first find all the frequent itemsets in data collection, Second it is by these frequent itemsets to generate association rules. This paper analyzes the association rule mining algorithms, such as Apriori and FP-Growth. The paper presents the construction search engine based on formal concept analysis and association rule mining. Experimental results show that the proposed algorithm has high efficiency.
Face Image Denoising Method Based on Fourth-Order Partial Differential Equations
Authors: Zhao Weng Cang , Wang Fan
Published: September 2012

In order to improve the effect of face image denoising, this paper put forward several face image denoising methods based on partial differential equations, including P-M non-linear diffusion equations and fourth-order partial differential equations. We use those two methods by establishing non-linear diffusion equations and fourth-order anisotropic diffusion partial differential equation. The P-M non-linear diffusion denoising method can remove noise in intra-regions sufficiently but noise at edges can not be eliminated successfully and line-like structures can not be held very well.While the fourth-order partial differential equations denoising can retain the local detail characteristics of the original face image. Finally, through the experimental results we can see the effect of the fourth-order partial differential equations denoising is better, which makes the later face image processing more accurate and promotes the development of face image processing.
Research on Statistical Innovation Based on the Game between Central Government and Local Government
Authors: Zhang Deng Bing
Published: September 2012

Much of state statistical work is done by the local statistical organizations. The reliability of local statistical data is the core of statistical innovation. But, the care of local government and enterprises may be not identical with the target of statistical work. Statistical products must affect utilities of some people, so they may have motives to interfere with statistical affairs. The paper started with dominant rationality, and some game models were built based on the relationship between central government and local government. After analysis on these models, it points out that the new statistical system should be built to make benefit-related people separated from statistical work. That the benefit-related people have no access to interfering with statistical work is essential to ensure the statistical data quality.
An Error-Reduction Method for Temporal Phase Unwrapping Based on Double Three-Step Phase-Shifting and Least-Squares Fitting
Authors: Liu Yong , Huang Ding Fa , Jiang Yong
Published: September 2012

Phase-shifting interferometry on structured light projection is widely used in 3-D surface measurement. An investigation shows that least-squares fitting can significantly decrease random error by incorporating data from the intermediate phase values, but it cannot completely eliminate nonlinear error. This paper proposes an error-reduction method based on double three-step phase-shifting algorithm and least-squares fitting, and applies it on the temporal phase unwrapping algorithm using three-frequency heterodyne principle. Theoretical analyses and experiment results show that this method can greatly save data acquisition time and improve the precision.
Security Strategy Research and Design Based on Agency Identity Authentication
Authors: Xie Chuan
Published: September 2012

The application of LAN in enterprises has become wider and wider, it brings efficiency and convenience to management and production, but at the same time, security threat is increasing. This threat is influenced by the factors such as network environment, network management and the level of the staff. Therefore it causes the realization of LAN security strategic planning is not entirely reliable, reflecting mainly in the subjective factors such as network user identity authentication. Through research, on the basis of the application of Single Sign-On technology and introducing the agency identity authentication system, a new security strategy is built up, which can improve the whole LAN security.
Research on Business Model of Rural Online Group-Buying on Contacts
Authors: Xiang Jian Chi , Ding Wu Yong
Published: September 2012

up-buying activities based on the characteristics of the rural market and online group-buying. Then it presents a rural online group-buying model based on the contacts. Finally, it analyses this mode based on the SWOT approach. Generally speaking, this paper provides an inspiration and reference for the development of the group-buying online industry, by the exploring study on the online group-buying of the rural areas.
Design and Analysis of the System of Internet of Things Smart Home
Authors: Zhu Shun Bing , Du Chun Quan , Niu Miao Miao
Published: September 2012

Application of Internet of Things (IOT) in smart home is the direction of the development and promotion of networking industry. This article first proposes smart home system architecture , based on the analysis of typical services provided by home network and within the family intelligent devices inside, then the article describes the solutions of IOT smart home and smart community based on the family intelligent terminals and the features and characteristics of the family intelligent terminals. Finally, detailed analysis the key technical issues of IOT Smart Home middleware and application platforms,standard-setting and so on, provides detail content of IOT smart home equipments research and develop and testing and verifying.
Hybrid Encryption Scheme of EOC Traffic
Authors: Ren Xun Yi , Zhang Jun Feng , Yu Yang , Wan Hai Ping
Published: September 2012

To improve the security of EoC network traffic, the hybrid encryption scheme was presented. The relevant encryption algorithm was analyzed, and the hybrid encryption scheme was proposed for EOC downlink traffic encryption, in which ECC algorithm is taken to produce and encrypt session key, and Blowfish algorithm is improved to encrypt the broadband-authorized frame and downlink data. The security analysis show the encryption scheme can guarantee the integrity and confidentiality of the data in the EoC transmission process.
Construction and Exploration of Corporate Virtual Private Networks
Authors: Peng Kai
Published: September 2012

With the further development of Internet, VPN technology would provide high-quality and low-cost wide-area data network, and would be safer than the majority of corporate special network. Main purpose of VPN technology is to save communication expenses for enterprises, especially replace existing special lines of enterprises and reduce communication cost. With constant mergers and acquisitions of enterprises and the occurrence of new relationship between enterprises and employees, traditional corporate network mode faces challenges. One solution is to use virtual private network when constructing enterprise information environment. During network design, if only for simple point-to-point data transmission, making full use of transmission security is enough, security mechanisms such as encrypted tunnel, flows separating, packet authentication, user authentication, authorization system and access control etc have been taken to ensure the security. From perspective of engineering, comparison between the construction of corporate VPN and tunneling protocol that realizes VPN is made.
Multiple Variables Time Series Adaptive Prediction Model Based on Grey Theory
Authors: Li Xiao Lei , Ma Jie Zhong , Guo Yang Ming
Published: September 2012

Fault prediction is critical to ensure the safety and reliability of complex system. The reported fault prediction methods have achieved some success in practical applications. Generally, the information used in fault prediction is always mined from multi-variable time series and small simple data. Thus, based on grey prediction theory, an adaptive prediction model with multi-variable small simple time series data is proposed. In this method, after analyzing the disadvantages of model, we modify the initial values and background values of model, and then the interrelations and characteristics of the multiple variables time series are taken into account. The results of experiment with a certain complex system show that the model has good prediction precision, which will be useful in applications.
Investigation on the Prestage of a Water Hydraulic Jet Pipe Servo Valve Based on CFD
Authors: Wang Xin Hua , Li Zhi Jie , Sun Shu Wen , Zheng Gang
Published: September 2012

In a water hydraulic jet pipe servo valve, the overall performance of the valve is directly influenced by the structure dimension of the receiver and the prestage— jet pipe amplifier. This paper deals with the influence rules of the structure dimension parameters and performance parameters on the buildup pressure in the two receiving holes, including the vertical clearance between the nozzle and the receiver, the diameter of the nozzle hole, the diameter of the receiving orifice, and the nozzle offset distance. The best combination of structure size is finally obtained by using numerical simulation, computer emulation and experiment analysis methods. Then build up the finite volume analysis models about the pressure field and the speed field of the jet pipe amplifier. Through analyzing the characteristics of the flow field, a mathematics relation between the jet nozzle offset and the pressure ratio inside the two receiver holes is established, which reveals the energy distribution and conversion mechanism. The conclusion could be an important reference for the design and research of jet pipe servo valve.
Some Qualitative Properties of Modes for Discrete Modes of Two-Spans Beam with Two Free-Ends
Authors: Wang Qi Shen , Wang Da Jun , Zhang Li Hua , Liu Quan Jin
Published: September 2012

In this paper we give the conjugated system of the discrete system of the two-span beam with two free-ends, which is a discrete system of two-span continuous beam with two clamped-ends and an internal pin. The sign-oscillating property of the stiffness matrix of the conjugated system is proved. And the basic oscillating properties of the frequencies and “displacement” modes of the conjugated system are determined. Furthermore, some qualitative properties owned by displacement modes, rotation modes, moment modes and shearing force modes of the discrete system of the two-span beam with two free-ends are obtained.
Sensitivity Analysis of Flow-Induced Vibration Noise from Elastic Plate with a Cavity
Authors: Zhu Guang , Liu Yu Hong
Published: September 2012

The flow-induced vibration noise generated by the elastic plate with cavity (EPC), which is a common structure on the surface of autonomous underwater vehicle (AUV), can not be ignored with the impact on the signal accuracy of the acoustic instruments mounted on the AUV. In this paper, the fluid-solid coupling vibration noise of elastic plate with a cavity has been modeling by the large eddy simulation (LES)-Lighthill equivalent source method. Then the fluctuation pressure spectrum of the flow field and the radiated noise field are analysed. According to the characteristic of the radiated noise field, the sensitivity of the sound power with respect to thickness of the EPC is calculated. Based on the results of sensitivity analysis, the flow-induced vibration noise generated by the EPC is reduced by local optimizing thickness of the EPC, with the premise of not increasing the structural weight.
The Effect of Material Parameters on Crashworthiness of Vehicle Steering Column
Authors: Song Xiao Hua , Liu Jing
Published: September 2012

The drivers were hurt seriously by the vehicle steering column in the frontal collision. So a steering column with well energy-absorbing is very useful for the drivers. In this paper, the crashworthiness of a vehicle steering column is investigated by using the explicit dynamics finite element analysis method. Based on the proposed finite element model, the steering column with different material parameters including elastic modulus and yield strength are analyzed. Moreover, the displacement, velocity and energy absorption is discussed. The simulation results show that the crashworthiness of the vehicle steering column is significantly influenced by the yield strength. However, the elastic modulus has little effect on the crashworthiness.
Energy Efficiency Optimization of Turning Conditions Using Taguchi Method Grey Analysis
Authors: Yan Ji Hong , Li Lin
Published: September 2012

Reducing energy usage is an essential consideration in sustainable manufacturing. This paper presents a multi-objective optimization model based on the trade-offs between sustainability, productivity and machining quality, which aims for reducing the cutting energy in machining processes. Three objectives, surface roughness, material removal rate and energy consumption, are simultaneously optimized. Additionally, a method to determine the weight factors is proposed to calculate grey relational grade of multiple responses. Experiment used Taguchi design method was performed to verify the optimization model and promising results reducing the energy consumption of machining processes were achieved.
A NewFault Detection and Diagnosis Method Based on Wigner-Ville Spectrum Entropy for the Rolling Bearing
Authors: Xie Ping , Yang Yu Xin , Jiang Guo Qian , Du Yi Hao , Li Xiao Li
Published: September 2012

The rolling bearings are one of the most critical components in rotary machinery. To prevent unexpected bearing failure, it is crucial to develop the effective fault detection and diagnosis techniques to realize equipment’s near-zero downtime and maximum productivity. In this paper, a new fault detection and diagnosis method based on Wigner-Ville spectrum entropy (WVSE) is proposed. First, the local mean decomposition (LMD) and the Wigner-Ville distribution (WVD) are combined to develop a new feature extraction approach to extract the fault features in time-frequency domain of the bearing vibration signals. Second, the concept of the Shannon entropy is integrated into the WVD to define the Wigner-Ville spectrum entropy to quantify the energy variation in time-frequency distribution under different work conditions. The research results from the bearing vibration signals demonstrate that the proposed method based on WVSE can identify different fault patterns more accurately and effectively comparing with other methods based on singular spectrum entropy (SSE) or power spectrum entropy (PSE).
Loop Decoupling Design Based on Identification Model of DTG
Authors: Yang Guang , Li Xing Fei , Zhao Jian Yuan , Wang Jia
Published: September 2012

To solve the coupling problems cause by flexible structure of Dynamic Tuned Gyroscope (DTG), solutions was proposed through the combination of loop control and decoupling within Individual Channel Design (ICD) framework during the DTG lock loop design. Firstly, theoretical model of DTG and its actual coupling property were presented. Then, the diagonal controller was designed for the diagonal elements and counter-diagonal elements of DTG transfer function matrix under the framework of ICD. The stability and coupling relationship of individual channel were also analyzed for both two cases. Finally, a validation experiment was carried out for a certain type of DTG when it works in tuned state and mistuned state with 20% perturbation of tuned speed. The experimental results show that the diagonal controller for both two cases can stabilize the loop. But in mistuned state, the coupling degree of diagonal elements case grows up to 15%.This shows that the controller robustness for counter-diagonal elements is greater.
Determination of Technical Parameters in CTP Process and its Image Quality
Authors: Chen Wei , Li You Ming , Zhang Xue Jin
Published: September 2012

The focal length, zoom, irradiating power and cylinder speed of laser head influence the exposure quality directly in computer-to-plate (CTP) process. This paper determined the most optimal parameters which used screen thermal sensitive device PT-R4100 by changing the focal length, zoom, irradiating power and cylinder speed of laser head. The most optimal parameters of focal length, zoom, irradiating power and cylinder speed in CTP process were 1500puls, 6700puls, 90%, 600r/min respectively。Compared with computer-to-film (CTF), we found that the image quality of CTP process was better. The average density, register accuracy and ink trapping of CTP process were higher than that of CTF. Ink formation was also better.
Data Automation System by Using Computer Controlled Stepper Motor
Authors: Alam M. Rabiul , Jahangir Alam S.M.
Published: September 2012

Computer Controller has found their place in many different applications. A Controller can be a good choice whenever controlled movement is required. This paper presents the usage of the applications of stepper motors in different areas including printers, plotters, high-end office equipment, hard disk drives, medical equipment, fax machines, robotic, washing machine, power generator automation, satellite automation, sensing automation, bio-sensing systems, earthquake measurement any automotive and many more. Practical experiment shows that when Controller is connected with parallel port, it can be controlled by the computer.
Optimal Design of Semi-Trailer Frame Based on Topology Optimization
Authors: Dai Li Li , Wang Jing Gang , Zhao Shuang , Deng Ya Qiong , Jia Nan
Published: September 2012

40t semi-trailer frame is optimized by usage of topological optimization and static/dynamic analysis technology. After the optimization, The static characteristics of frame completely satisfy requirement of intensity and stiffness, and the quality is reduced by 10% compared with the original frame. The dynamic characteristics of the new frame have been improved greatly, which indicate that the optimized frame structure is more reasonable, and lay the foundation for reducing the cost and improving manufacturing efficiency.
Multiaxial Fatigue Life Prediction for Notched Components under Proportional and Non-Proportional Cyclic Loading
Authors: Chen Hong , Shang De Guang , Tian Yu Jie , Xu Guang Wei
Published: September 2012

Fatigue life estimation of notched components is mostly dependent on notch stress and strain calculation with non-linear finite element analysis (FEA). For multiaxial cyclic loading, the stress-strain analysis of notch root is rather complex and the non-linear FEA is also very time-consuming. In this paper, a new fatigue life prediction method for notched components under multiaxial loading is proposed. First, a linear elastic solution needs to be solved for notched components under multiaxial cyclic loading. Then, an elastic equivalent parameter is computed using the linear elastic solution. On the basis of the elastic equivalent parameter combined with the Neuber’s rule, an elastic-plastic equivalent parameter is obtained. Finally, the elastic-plastic equivalent parameter is used to estimate fatigue crack initiation life of notched components. The proposed method needs only elastically calculated notch strain history as the basic input and is convenient for engineering application. The method is verified with experimental data of SAE 1045 notched shaft specimens under proportional and non-proportional loading. The results showed that the method can provide good life estimates.
Study on Sectional Curve Fitting in Reverse Modeling of Mechanical Parts
Authors: Tu Qun Zhang , Zhao Jian Xun , Qin Long , Dai Jvying
Published: September 2012

The flow of reverse modeling based on section feature is analyzed, and three algorithms of B-spline curve fitting are studied. Then by adopting the three methods, the sectional curve fitting of the point cloud data is achieved for the stator vane of hydraulic torque converter. Through comparing the errors and curvature of the fitting curves, the effect of curve fitting is analyzed and valuable conclusions are obtained.
Spectral Based Spatio-Temporal Modeling for Thermal Crown of Aluminium Alloy Hot Rolling Processes
Authors: Jiang Mian , Deng Hua , Huang Chang Qing
Published: September 2012

A spectral based low-dimensional spatio-temporal modeling approach is proposed for thermal crown of work rolling in aluminium alloy rolling processes. Firstly，the Karhunen-Loève (KL) decomposition is used for dimension reduction and time/space separation. The neural networks are used for dynamic modeling. The simulations have demonstrated the effectiveness of the proposed spatio-temporal modeling approach..
Preparation and Characterization of Bisphenol A Molecularly Imprinted Silica Nanospheres
Authors: Shi Wei , Zhu Jing Bo , Fu Shao Ping
Published: September 2012

Molecularly imprinted polymers of bisphenol A were synthesized with a sol-gel process on the supporter of silica nanospheres. The BPA-imprinted silica nanospheres were characterized by scanning electron microscope, dynamic adsorption, static adsorption tests and molecular selectivity tests. Scatchard analysis revealed that two classes of binding sites were formed in the imprinted polymers, the equilibrium association constant and the apparent maximum number of binding sites were estimated to be 0.20 μmol•ml-1 and 137.55 μmol•g-1, respectively. Bisphenol A and three analogues, tetrabromobisphenol A (TBBPA), bisphenol C (BPC) and nonylphenol (NP) were employed for selectivity tests. The results indicated that the imprinted polymers exhibited excellent selectivity and specificity toward bisphenol A.
Research and Implementation on Automatical Adjustment Method of Design Feature Model
Authors: Chen Yao , Zhang Guo Yuan , Wei Jun Chao , Yan Xiu Tian , He Miao
Published: September 2012

Traditional engineering design and realization typically follows a sequential pattern as described by many research publications such as French, Pahl and Beitz. These design methodologies face challenges when time is essence in product realization lifecycle. In contrast, as the design process of a product evolves，this new method incrementally creates machining feature model and realizes concurrent design feature and machining feature modeling based on an algorithm developed for local feature recognition. In addition, the method accelerated the determination of the area that require to be recognized by utilizing a dynamic link list to record the changing information of topological elements, the design features of the model generated by the feature-based design, processing and feature recognition is generated through feature model.
Effects of Process Variables on Temperature Field of Laser Cladding
Authors: Jia Yan Ping , Hao Nan Hai
Published: September 2012

Laser cladding utilizes a laser as energy source to apply a layer of a desired material onto a substrate. As a complex thermal-mechanical process, laser cladding is not quite understood yet. In this paper, effects of process variables on temperature variation during laser cladding are investigated with finite element method. The powder feeding during cladding is taken into account by using the element’s functions of “death” and “birth”. This makes the analysis more accurately. The analysis results show that the maximum temperature at the melting pool during cladding is directly proportional to the laser power and preheated temperature. The maximum cooling rate at the melting pool is inversely proportional to them. Increasing the preheated temperature can decrease the cooling rate of the clayed layer effectively. Increasing the laser power can also decrease the cooling rate, but the effect is not obvious.
Mathematical Modeling of Mixing and Flow Phenomena of Municipal Solid Waste on the Grate
Authors: Li Xiang , Tang Yi Ke , Zhang Han Wei , Yang Lu
Published: September 2012

The recovery of energy from the municipal solid wastes (MSW) is an effective process for the large-scale MSW, the mixing and flow of MSW particles on the grate impact the combustion efficiency in combustion chamber. The travel of MSW on the grate depends on the physical characteristics of the solid wastes and the grate properties. The MSW is a more complex and non-homogeneous, so it is difficult to simulate the particle motion by mathematical model based on contact theory. The MSW particle motion model based on the Markov chain of stochastic process for new type forward-reverse acting grate is built and simulated the MSW particle motion in computer by MATLAB 7 in this paper according to the full-scale experiment. The computer simulation and experimental results suggest that the degree of the forward acting grate inclining to horizontal has an effect on the flow and mixing of the MSW particles.
Numerical Simulation for Stress Distribution of Bones and Bone Plate Using Finite Element Method
Authors: Zhao Wen Zhi , Jiang Hong , He Sheng Wei , Zhang Lu , Sun Xue Gang
Published: September 2012

A three-dimensional finite element model is developed to simulate the integrated system which consists of the fractured bone (femur), bone plate and stabilization screw by using the ANSYS software. The stress and strain distribution of the integrated system is investigated. The numerical model simulates a patient’s imperfect walking under the assumption that the fractured bone is not able to support any load and all body weight was burden by bone plate in fractured bone section. The simulation results reveal that the maximum Von Mises stress on bone plate is much less than yield strength and fatigue strength of Titanium alloy.
A Conceptual Design of a Measuring System of Tennis Batting Motion Attitude Based on MEMS Sensors
Authors: Han Liang , Jin Jing Song , Zhang Wei
Published: September 2012

Tennis is a very elegant sport, with a strong sense of competitiveness and appreciation, which has gained more and more attentions in our country, and it tends to be a fashion. This project is to achieve the measurement of tennis batting motion attitude in three dimensional space using a combination of the three-axis MEMS(Micro-electromechanical Systems) sensors, and make research on the principle of measurement system, composition and data acquisition. Body posture measurement system is to measure the attitude measurement in human movement, it can be applied to study the movement posture or to meet the requirements of position control, which provides theoretical foundation for scientific training and prevention of sports injury and also plays a significant and instructional role in improving the training levels of tennis playing and generalizing nationwide fitness campaign.
The UV Index and Exposure Time Measured by UVM-30 Photodetector
Authors: Luo Hao , Zhang Kai Xiao , Xie Hai Yan , Zou Hua , Zhu Wei Hua
Published: September 2012

Solar radiation between 100 and 400 nm has a number of effects on human health. The UV Index and exposure time are particularly important in the evaluation of the risk of sunburn, skin cancer and other injury. This paper used the UVM-30 photodetector to measure the UVI and the max exposure time in sun real time with a simple linear function relationship circuit. The results suggest you should bath in sun not more than 36 minutes at noon, or not more than 106 minutes at 17:00 in the afternoon with 5 UVI.
Design of a Traffic Detection System Based on Laser and Piezoelectric Technologies
Authors: Li Hong Qin , Zhu Li Wei , Zhang Zhi Yong , Chu Cheng Zan
Published: September 2012

This paper aimed to solve the problems that traffic detector which was used in china, can't satisfies the multifunction and high-accuracy needs of the domestic traffic survey and traffic volume measurement.We designed a traffic detection system based on laser and piezoelectric technologies,which is made up of laser speed sensor, laser scanning sensor, piezoelectric axle shaft sensor, data acquisition unit, software system and server, and their application was discussed in detail. The working principles of laser speed sensor, laser scanning sensor, piezoelectric axle shaft sensor were presented, and the detection parameters of the system were put forward. The whole structure and data processing flow of software system were also pointed out. Through test verification, the multifunction and high-accuracy characteristics of the system were verified. This traffic detection system has great significance for enhancing the research level of the domestic traffic survey and traffic volume measurement.
A Bluetooth-Based Laser Pen Instruction-Aid System for Face-to-Face and Mobile Teaching
Authors: Zhang Yi Feng , Chen Gang , Wang Min Juan , Khan Muhammad Jahanzaib
Published: September 2012

Laser pen instruction-aid system is intelligent equipment used to increase the interaction between lecturer and audience in the smart classrooms for face-to-face, mobile, or cloud learning. Lecturer can use the system to easily control presentation documents and to communicate with the audience. The system can function either as a mouse or a keyboard. And the system can draw a laser spot track and do path drawing on the presentation document, so as to make the presentation vivid and interesting. All these functions are supported by the Bluetooth communication mechanism, which sends control signal from the laser pen and receives the signal on the computer. The paper describes how Bluetooth devices enable the signal communications and the unique functions of the pen.
Applied Research of Frequency Converter for Dust Removal System
Authors: Xu Cun Shan
Published: September 2012

In light of the characteristics of centralized dust removal and pneumatic cut tobacco feeding dust removal system of linking assembly units, by use of a control system of Siemens S7-300, a control technology of field bus Profibus-DP, an operating system of human computer interface and Variable-frequency drive technology, the realization of constant voltage negative feedback control makes the system running stably under various load condition, and ensures windlass set in normal working condition, and so improves production processes and saves energy.
Research on Distance Measuring System Based on Single Vision with the Aid of a Laser Pen
Authors: Zheng Tai Xiong , Guo Dong Xiao , Chen Ting Ying , Xu Yang
Published: September 2012

In this paper, a study and analysis of a distance measure method based on single vision with the aid of a laser pen is proposed. In the method, a camera and a laser pen are used as measurement device. By comparing the lightness of the pixels, the laser point projected on the object is found out in the image. Then an orthogonal triangle using the distance between laser point and CCD center as one edge is set up. And Pythagorean Theorem is applied to calculate the distance between camera and measured object. Experiments in different lightness are carried out and encouraging results are obtained which prove that the device has nice measuring performance in appropriate lightness.
Analyzing and Developing Transmitter of UV Communication Test Bed
Authors: Deng Zhong Liang , Zhao Ming Yu
Published: September 2012

The reasons of using low-pressure mercury lamp as transmitter light source are analyzed. The principle of how the resonant half-bridge switching circuit works is described, and how to use this circuit to achieve 2FSK modulation is discussed. The L6384 chip modulation circuit is briefly introduced. The response performance of low-pressure mercury lamp is tested under the conditions of gradually increasing the transmission rates. The new transmitter has a longer transfer distance but a slower response compared with LED transmitter system.
A Brightness and Color Correction Method of LED Display Based on CCD Camera
Authors: Zhao Zi Quan , Wang Rui Guang
Published: September 2012

The correction methods of LED displays are aiming to address the uniform issues which includes brightness aspect and color aspect. The correction method use a 3×3 correction coefficients matrix to reshape the pulse width of each LED.To calculate the correction coefficients, a linear system is established, which includes a color CCD and a LED display. And a correction algorithm is introduced based on the color CCD. This algorithm describes the relationships of the main color components of a LED, when the gray level of a LED is increasing or decreasing, the three main color components would change according to the correction coefficients. The results shows that the correction based on this algorithm improved the performance of LED displays.
Video Event Detection Technology and its Application in Intelligent Transportation
Authors: Lan Jin Hui , Guo Min , Liu Xiao Jie
Published: September 2012

Video event detection technology has become a hot issue in the Intelligent Transportation Systems(ITS) research. It mainly uses in highways, tunnels, urban roads and other video surveillance systems. This paper makes a brief overview on the development of video detection technology at home and abroad. It describes the working principles and key technologies of the two kinds of incident detection technology based on virtual detection loop and video vehicle tracking, compare above two technology to sum up their advantages and disadvantages. At last it introduces the typical products of the domestic and foreign video event detection technology, their applications and performance index.
An Information Acquisition Device for Driver Training Operation with MEMS Transduce
Authors: Yang Xia , Yin Kai , Liu Hai Ying , Li Hong Da
Published: September 2012

In this paper, based on characteristic analysis of driver training operation, a new approach of information acquisition for driver training is found, which is through extracting acceleration information. The information acquisition device which is under MEMS three-axis acceleration transducer, based on ADXL335 and MCU, can achieve real-time and accurate measurement of vehicles’ three-dimensional acceleration. By comparing the change curve of measured acceleration with the related data of good driver, the existing problems will be found out. In this way, the driver training operation can be assessed in a timely way.
Study on Design the Stop Pipe Diameter of Packaging Power-Law Fluid
Authors: Ding Yong , Yang Fu Xin , Bao Jian Qiang
Published: September 2012

The distribution of the speed and shear stress in power-law fluid with the laminar flow in the pipe were analyzed in this paper, then, the flow rate was calculated. Moreover, the stop pipe diameter was designed by calculating the balance of shear stress of power-law fluid in the pipe and the gravity of filling fluid. The conclusion: Ideal stop pipe diameter of power-law fluid is related to fluid properties, pressure and the acceleration of gravity.
Power Turret the Dynamics Simulation Analysis of Power Turret
Authors: Sun Shu Xia , Zhu Xiang Jun , Wang Ming Ming
Published: September 2012

The dynamic performance of the CNC turret affect the cutting capability and cutting efficiency of the NC machine tool directly, embody the core level of the design and manufacture of the NC machine tool. However, the dynamic performance of the CNC turret mostly decided by the dynamic performance of the power transmission system of the power turret. This passage use Pro/E to set the accurate model of the gears and the CAD model of the gear transmission system and based on this to constitute the ADAMS model of virtual prototype. On the many-body contact dynamics theory basis, dynamic describes the process of the mesh of the gears, work out the dynamic meshing force under the given input rotating speed and loading, and the vibration response of the gear system. The simulation result disclosure the meshing shock excitation and periodical fluctuation phenomena arose by stiffness excitation of the gear transmission. Analyses and pick-up the radial vibration response of the output gear of the gear transmission system as the feasibility analysis data.
A New Global Guides Selecting Strategy in Pareto Based MOPSO
Authors: Ling Hai Feng , Peng Zhuo , Jiang Xun Lin , Tang Jian
Published: September 2012

In multi-objective particle swarm optimization (MOPSO), the selection of global guides for all partials is vital to improve the convergence and diversity of solutions. In this paper, the related work of global guides searching in MOPSO is introduced, and a new Pareto–based selecting strategy is proposed. Basing on the analysis of the structure and mapping relation of the particle swarm and the nondominated solutions archive, considering the density information, the global guides selecting frequency and other factors, a new gbest selecting strategy for each particle in the swam is presented. Experimental results of contrasting experiments of two typical MOPSO functions demonstrate that the proposed strategy is satisfying.
Orthogonal Wavelet Transform Blind Equalization Algorithm Based on the Optimization of Artificial Fish Swarm Algorithm
Authors: Huang Wei , Guo Ye Cai
Published: September 2012

According to disadvantages of big steady-state error, low convergence rate, and local convergence of traditional Constant Modulus blind equalization Algorithm (CMA), an orthogonal Wavelet Transform blind equalization Algorithm based on the optimization of Artificial Fish Swarm Algorithm(AFSA-WT-CMA) is proposed. In this proposed algorithm, the weight vector of the blind equalizer is regarded as artificial fish, the equalizer weight vector can be optimized via making full use of global search and information sharing mechanism of artificial fish school algorithm, the de-correlation ability of normalizing orthogonal wavelet transform. The computer simulations in underwater acoustic channels indicate that the proposed algorithm outperforms CMA and WT-CMA in convergence rate and mean square error.
The Application of CATIA Law Line Method in Parts Design of the Variable Thickness Boom
Authors: Yin Hai Jun , Bai Yang , Wu Hai Xia
Published: September 2012

This paper summarizes the characteristics of variable thickness boom parts. The article discusses the principle of the CATIA Law line and the application of CATIA Law line method in parts design of the variable thickness boom, and solves the technical problem that the boom thickness can't linear and smooth change when we design parts. We have given two kind of the design operation process of variable thickness boom parts.