bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on the Intelligent Monitoring System for the Industrialized Producing Environment of Edible Fungus Based on the Internet of Things
Authors: Zhang Ling Yun , Zhang Hua , Zhang Peng Fei , Yuan Qiu Hong
Published: September 2013

The edible fungus industry has relatively high output rate and high added value. In the production of edible fungus, the environmental factors have great impacts. This paper studies the intelligent monitoring system for producing environment of the factory-farmed edible fungus based on the internet of things and aiming at online real-time management. The monitoring system can realize real-time surveillance and visual operation during production by dynamically regulating the environmental factors needed for growing edible fungus and early warning of the environmental parameters fluctuation with traceable history records at any time. When parameters like temperature and humidity are beyond reasonable range, warning will be sent via text messages and equipments such as air conditioners and warming devices will be automatically adjusted for on and off so as to raise management level, increase the output, improve the quality and lower the risks.
The Research of the Shock Angular Displacement Sensor
Authors: Liu Rong Xian , Qin Yong Fa , Li Fan
Published: September 2013

Impact resistance angular displacement sensors are widely used in motion mechanical system, which not only requires the sensor having the advantages of large measurement range, long life, also the sensor need to withstand shock and vibration. We use the finite element analysis on the key structure of the sensor and design the sensor circuit.. The sensor has the advantages of high strength shell and flexible packaging, and it can withstand the impact of the gravitational acceleration 100g on three directions.
Cloud Adapt Particle Swarm Optimization Algorithm for Distribution Network Planning with Distributed Generation
Authors: Xu Bu Quan , Zhang Li Chen , Xu Bu Zhen
Published: September 2013

Distributed Generation (DG) can be used to improve power quality, power supply reliability and reduce network loss et. Meanwhile Particle Swarm Optimization algorithm (PSO) is easy to fall into the local minimum. In this paper we propose a Cloud Adaptive Particle Swarm Optimization algorithm (CAPSO) to optimize the site and size of DG based on cloud model which has a tendency and randomness property. Judged by two dynamic value assessment, particle belongs to which group, excellent, general and poor. The inertia weight in general group is adaptively varied depending on X-conditional cloud generation. Taking the minimum network loss as the objective function, simulation on the IEEE 33BUS distribution systems to validate the methodology. Analysis and simulations indicate that it has good convergence speed and exactness.
Research on Functional Brain Network Metrics for Depression Patients Automatic Identification
Authors: Cheng Chen , Liu Wen Zhao , Chen Jun Jie
Published: September 2013

Nowadays, Brain network as a means of emerging brain disease research has been fully recognized which is applied to the neurological diseases, such as major depressive disorder (MDD). It also can detect the exception of the whole brain network topological. But there is no evidence to prove that abnormal brain network topology metrics can be an effective feature in the classification model to distinguish the healthy control and MDD. So, we hypothesize the abnormal brain network topology metrics can be used as an valid classification feature. Resting state functional brain networks were constructed for 26 healthy controls and 34 MDD patients by thresholding partial correlation matrices of 90 regions. According to the theory-based approaches, the global and local metrics were calculated. Non-parametric permutation tests were then used for group comparisons of topological metrics, which were used as classified features in support vector machine algorithm. The current study demonstrate that MDD is associated with abnormal function brain network topological metrics and statistically significance network metrics can be successfully used for feature selection in classification algorithms.
GCLAHE-Based Movement Leukocyte Recognition Research
Authors: Liu Shu Jun , Mao Li Min , Xu Ben Lian
Published: September 2013

In the analysis of the characteristics about the microscopic leukocyte image sequence, a kind of grading contrast limited adaptive histogram equalization (GCLAHE) algorithm was presented in the preprocessing. This method can effectively enhance the cell contrast with the surrounding background, and can play a better filtering to eliminate noise effects, at the same time keep better cell boundary information, and then improve the cell tracking rate. 100 frames of continuous images sequence were processed in Matlab 7, the average false detection rate is 0.48%, and the average miss detection rate is 1.20%. It is shown that the algorithm can reduce cell miss detection rate and the false detection rate; improve cell detection and tracking precision.
Dynamic Spectrum Allocation Using Q-Learning in Cognitive Radio Systems
Authors: Lv Chun Ying , Wang Ji Yang , Yu Fei
Published: September 2013

In this paper we present an improved dynamic spectrum allocation algorithm based on the intelligence of Q-learning. The state space, action space and reward function of the algorithm are built, and, the agents are guided to perform actions through designing the reward function. Numerical simulation results show that the proposed algorithm can improve system throughput efficiently compared to other algorithms. Facing the status of spectrum resources is tension and spectrum utilization is low, it can also boost the spectrum using condition in the future.
Multi-Instance Learning for Image Retrieval with Relevance Feedback
Authors: Chen Tao , Deng Hui Fang
Published: September 2013

In this paper, we propose a novel method for image retrieval based on multi-instance learning with relevance feedback. The process of this method mainly includes the following three steps: First, it segments each image into a number of regions, treats images and regions as bags and instances respectively. Second, it constructs an objective function of multi-instance learning with the query images, which is used to rank the images from a large digital repository according to the distance values between the nearest region vector of each image and the maximum of the objective function. Third, based on the users relevance feedback, several rounds may be needed to refine the output images and their ranks. Finally, a satisfying set of images will be returned to users. Experimental results on COREL image data sets have demonstrated the effectiveness of the proposed approach.
The Research of Intelligence Data Mining Oriented to Battlefield Situation Assessment
Authors: Liu Jing Xue , Tang Wei
Published: September 2013

Battlefield situation assessment has a positive significance on improving the efficiency of commanding decision-making; moreover, battlefield situation assessment cannot be made successfully without the support of some integrated and exact intelligence data. In this paper, basing on the demand of identifying the battlefield situation, the corresponding knowledge context database was first discussed; on this basic, construction of the intelligence data warehouses framework was explored. Then, the study of data mining based on the intelligence data warehouse was made from the view of a holistic conception, and a detailed arithmetic was presented by making use of the tactic from data mining driven fishbone.
Sparse Extended Information Filter for AUV SLAM: Insights into the Optimal Sparse Time
Authors: Zhang Hao , He Bo , Luan Ning
Published: September 2013

Sparse extended information filter-based simultaneous localization and mapping (SEIF-based SLAM) algorithm can reflect significant advantages in terms of computation time and storage memories. However, SEIF-SLAM is easily prone to overconfidence due to sparsification strategy. In this paper we will consider the time consumption and information loss of sparse operation, and get the optimal sparse time. In order to verify the feasibility of sparsification, a sea trial for autonomous underwater vehicle (AUV) C-Ranger was conducted in Tuandao Bay. The experimental results will show the improved algorithm is much more effective and accurate comparedwithothermethods.
The Shape Recognition in Cold Strip Rolling Based on SVM
Authors: Wang Yan , Hu Hai Qing
Published: September 2013

In this paper, a Multi-Classification SVMs classifier in terms of the theory of SVM is presented and which can tell the various properties of panel surface. The sample data is obtained by preprocessing the data which is measured through the flatness detector in the cold-rolled operation. Using the supervised method of one-class-against-the-rest to train Multi-Classification SVMs classifier. Finally, testing the performance of classifier by test data. The simulation results show that the proposed method performs high recognition rate in processing little sample data and has good ability of generalization. To the flatness recognition, this is a new research method.
Contents Based Color Image Edge Detection Using Hessian Matrix
Authors: Zhang Li , Wang Lie Jun , Zhong Sen Hai , Zhao Gang
Published: September 2013

The edges are the most fundamental and important characteristic of an image, edge detection is the key link and classic topic in machine vision and image processing. Considering the human visual characteristics, the intrinsic gradient direction information of color images was used to obtain the pseudo-color edges of the images by conducting multichannel edge detection. After enhancing the edge information and removing the correlation, the brightness is extracted in order to obtain complete image edge information. To make the edges more smooth and continuous, the Hessian matrix is used to remove coarse edges and edges with redundant background texture. The experiment verifies the effectiveness of the proposed algorithm, and the comparison with other scheme indicates that our scheme can improve the effectiveness, continuity and sharpness of edge detection.
The Realization Strategy of RBAC Enterprise Office Automation System
Authors: Liu Yan
Published: September 2013

Internet MIS security technology includes mainly: Authentication, Encryption, Access Control, Auditing and so on. Role-based access control (RBAC) is an access control method that has been widely used in Internet, operation system and relation database many years. Though RBAC is already relatively mature in the above fields, new problems occur when it is used in XML properties. By means of enterprise office automation system (EOA), the enterprise can easily migrate the release of information and communication functions to the Internet, which makes people convenience. The EOA system also provided a combination of enterprise management process reengineering, construction and optimization of the internal management information systems, decision support systems, and office automation systems. The system can get high level technical and advisory support for the management of enterprise information to fulfill the needs of specific business, affairs, and the conferences. This paper introduces EOA system strategy based on role-based access control (RBAC). The system centers in day-to-day office management service, achieves division of authority between different departments and staff through the introduction of data rights and function rights, so as to achieve the office management platform with the coordination of information, management, and service. This paper provides the method of realizing the work flow through RBAC management, the concept of authority is broken down to each operating procedures; realization of user operational procedures are reflected in the achievement of right-matching and right-series, office processes are standardized, the management level and quality are improved; the goal of improving office efficiency is achieved.
An Object-Z Specification of a Petrol Supply System
Authors: Li Yang Ping , Zhao Wei Quan , Wei Xiao Rui
Published: September 2013

As modern complex computer systems become increasingly sophisticated and data-intensive, people have long recognized the importance of precisely and unambiguously specifying them with formal methods. This paper advocates the use of Object-Z, a formal specification language, in the description of complex systems. Object-Z is an extension to the Z language to facilitate specification in an object-oriented style. First, we informally describe the syntax and semantics of Object-Z, highlighting those features that facilitate decomposing a large system into a collection of underlying objects and thus separating concerns. Then, we demonstrate the use of Object-Z by presenting a case study of a petrol supply system, illustrating how the system runs by communicating the constituent objects. Finally, we discuss several issues we encountered in this exercise, which may serve as feedback to the development of Object-Z.
Study on Self-Excited Vibration Mechanism of Wheel-Rail Lateral Contact System
Authors: Sun Li Xia , Yao Jian Wei , Hou Fu Guo , Zhao Xin
Published: September 2013

In order to investigate self-excited vibration mechanism of wheel-rail lateral contact system, a two DOF elasticity position wheelset lateral vibration model is established which considers the dry friction; the mechanism of the wheelset lateral self-excited vibration is investigated from the energy point of view. It shows that: the bifurcation diagram of this wheel-rail lateral contact system has a supercritical Hopf bifurcation. The energy of self-excited vibration derives from a part of traction energy; the creep rate in the wheel-rail system act as a feedback mechanism in the wheelset lateral self-excited vibration system. The stability of the wheelset self-excited vibration system depends mainly on the total energy removed from and imported into the system.
Research on Asynchronous Parallel Finite Automaton in DPI Based on Cloud Computing
Authors: Xia Hui
Published: September 2013

We propose a new deep packet inspection mechanism: APFA(Asynchronous Parallel Finite Automaton) instead of the traditional one, which is developed based on detailed analysis over causes of status explosion and flaws of existing solutions. Applying Asynchronous Parallelism and Heuristically Forecast Mechanism, it can take advantage of multi-core platform, offering an effective method to avoid overlapping problem and semantic assaults. Experiments under environment with artificial flows show that the average space APFA occupies is 89.7% less than that of DFA and the average time is 24.4% less cost.
Design and Implementation of Role and Group Based Access Control with Context in Document Access Control System
Authors: Fan Long , Huang He , Kang Wei
Published: September 2013

In traditional role-based access control (Role Based Access Control, RBAC), proposed the role and user-groups based on access control with context-aware (Role and Group Based Access Control with Context, RGBACC) model. RGBACC can do unified functional management to users, and can dynamically change the user's permission by the information from application environment in the context of access and security-related .This article RGBACC model applied to the actual document access control system, and the system design and implementation of a detailed description.
Social Networks and Job Performance: The Interaction Effect of Structure Properties
Authors: Wang Zhen Yuan
Published: September 2013

This study uses data from 173 respondents in 29 groups to provide evidence that when members locate in peripheral position in intragroup network, leader-member-tie is more positively associated with job performance. The relationship is even stronger for peripheral members in advice network.
Modeling and Estimation of Rheological Properties Based on Finite Element Analysis and Computer Simulation Technology
Authors: Zhang Qi Jun
Published: September 2013

By the relevant engineering and manufacturing of food rheological properties to estimate, and developing unified object based on 2D/3D dynamic finite element model, to carry out physical model simulation of five elements, then to further extended to deal with heterogeneous hierarchical objects. There are three kinds of food raw materials that are tested, its deformation and mechanical behavior are also assessed, and then according to the optimization FE, it is proposed to estimate the object's rheological properties. The results show that the FE model and the estimation method can accurately reproduce food rheological and deformation, and in the manufacturing process, the finite element model can be used to predict the rheological behavior of food products.
Effect of Heat-Reflective Insulation Coating of Building Energy Saving in Summer
Authors: He Chao , Wang Yang , Chen Yi Bin , Fukuhara Teruyuki
Published: September 2013

In order to discuss the effect of energy saving of heat-reflective insulation coating on exterior walls of building, the wall temperature change of two test rooms with heat insulation or not in Hangzhou has been monitored in summer, and the heat flux data of east, south and west walls were analyzed. The results indicate that the reflective coatings reduce the exterior surface temperature by up to 7 to 8°C. The reduction in heat gain of east, south and west walls is significant, which is the cooling effect. The total surface heat gain of exterior walls without reflective coatings is 2.44 times larger than those without them. In particular, the heat gain of walls with reflective coatings is nearly 5.27 times more than that of walls without reflective coatings. The reduction in electricity consumption of air-conditioning system in the building with reflective coatings is 2.5KWh/m2 per month by calculation, which well proves the energy saving effect of reflective coatings.
Influence of Al-Mg-Ce on the Anti-Corrosion Performance of the Hot-Dip Coating
Authors: Zhao Wei Hua , Li Guo Tian , Lian Hui , Li Guo Xin
Published: September 2013

The hot-dip coatings containing pure Zn and Zn-4.5Al-0.05Mg-0.03~0.12Ce were prepared through congruent melting. The interface of the hot-dip coating was researched by the scanning electron microscope (SEM) after polished and etching, and the results showed that the alloying elements were uniformly dispersed in the coating. The anti-corrosion performance of the coatings was researched using the weight loss rate by the neutral salt spray testing. The reasons of the effects of the elements Al-Mg-Ce on the anti-corrosion performance promoting were researched through SEM and X-ray diffraction analysis (XRD). The results showed that the protective effect of the Zn-4.5Al-0.05Mg-0.09Ce coating for the steel was enhanced by the electrochemical action.
Calculation for the Critical Number of Pedestrians on a Footbridge by Using the Modified Nakamura’s Model
Authors: Lin Rui , Zhen Bin , Ren Zhong Yang
Published: September 2013

The problem of the critical number of pedestrians is significant in the study of lateral vibrations of footbridges since it can cause serviceability for the footbridges. By considering the pedestrians mass on the footbridge increases slowly, the modified Nakamuras model can be regarded as a fast-slow system which can be used to calculate the critical number of pedestrians. The influence of the time delay of interaction between pedestrians and the footbridge on the critical number of pedestrians is analyzed. Comparison with other results indicates the correctness of our formula predicting the critical number of pedestrians. Furthermore, our research suggests that the existence of the time delay can make the critical number of pedestrians less, which means that the time delay helps to improve the safety of the footbridge.
Design of Automobile Gear Fatigue Test System Based on Servo Control
Authors: Zhang Hua Qiang , Yu Ya Xin
Published: September 2013

A kind of decoupling mathematical model of Permanent Magnet Synchronous Motor (PMSM) in two-phase rotated coordinate is established. According to the Space Vector Pulse Width Modulation (SVPWM) control strategy and optimum parameters scheme, the three closed-loop servo control system for Automobile Gear Fatigue Test (AGFT) is designed. Rapid and accurate positioning must meet the requirement of testing gear fatigue system. Simulation results show it can achieve the goal of linearization control and the scheme mentioned is feasible and effective.
Design of Heat Metering and Temperature Control System on the Basis of M-Bus
Authors: Jing Lei , Ma Bang Hua , Jiao Lai Lei
Published: September 2013

Heat metering and temperature control system is committed to saving energy, reducing emission , lowering consumption of heating energy, decreasing the workload of heating companies and the property management sectors. M-Bus, 485, Zigbee and GPRS are used in this system. It integrates heat measurement, data collection and processing, and remote control. This paper presents the structure of heat metering and temperature control system, focusing on the application of M-Bus and the design of its hardware circuit.
Motion Control on Nanometer Precision Machining
Authors: Cao Yun Ning
Published: September 2013

It is difficult to balance long travel & high precision, especially in multi-coordinate machining. In ultra-precision cutting, grinding and non-traditional machining, aimed at tri-coordinate ultra precision machining, studies the ultra precision machining technology and theory in this paper. It attempts to seek the principle in ultra precision machining as well as construct a pilot antitype with the ultra precision tri-coordinate machining system machine.
UKF Fusion Estimation for Indoor RFID Tracking
Authors: Jin Xue Bo
Published: September 2013

Radio frequency identification (RFID) can effectively get the accurate location information for indoor tracking system. The readers cant be placed at any position in the practical system. the reader would be more intensive at some places, where will obtain measurements from several readers, while the reader will be placed less at others place, where less or no measurements may be get when the target gets in this area. Therefore the target trajectory should be estimated by fusion filtering methods with variable sensors. The experiments show that the fusion UKF with variable sensors can overcome RFID nonlinear is smooth without abrupt change, even when the number of sensors has undergone great changes.
Modeling and Simulation of Unsteady Aerodynamics on a Morphing Wing
Authors: Wang Zhi Gang , Zhang Zhen Ning
Published: September 2013

Modeling and simulation method of unsteady aerodynamics on morphing wings were investigated. The Unsteady Vortex Lattice Method is employed to model the unsteady aerodynamics of 3-D potential flow field surrounding the wing. An UVLM computer code was then developed and validated for numerical simulation. A morphing wing which changes its dihedral angle with constant angular velocity was investigated by the code, and the lift, induced drag, and pitching moment coefficients time histories were obtained. The results show that the UVLM code is an effective tool for simulations of unsteady aerodynamics on morphing wings.
Secure Enhanced Update Approach for Embedded Transmission Line Monitoring Terminals
Authors: Shao Zhi Peng , Dai Zao Jian , Chu Jie
Published: September 2013

Introduce typical embedded device in power transmission line monitoring system and its update requirements. Analyze the drawback of traditional embedded system update mechanism over the air. Propose a security enhanced update approach with light-weight authentication protocol and recovery mechanism.
The Failure Modeling Analysis of Bipolar Silicon Transister Device Caused by ESD
Authors: Wu Dong Yan , Tan Zhi Liang , Ma Li Yun , Xie Peng Hao
Published: September 2013

With the development of electronic technology, the electronic threats faced by microwave semiconductor devices was increasingly serious.In order to study the electrostatic discharge damage mechanism of bipolar silicon transistors, this paper analyzed the basic physical characteristics of bipolar transistor in electrostatic discharge, such as kirk effect and current crowding effect. Through analysis the human body electrostatic discharge model, established the ESD electric injury model of bipolar silicon transistor. If we knew the production process parameter of devices, we can calculate the ESD damage threshold for designing bipolar silicon device and providing a theoretical basis of parameter optimization. Finally the common ESD damage criterion were analyzed from different angles.
Study of a Half Car Suspension Model
Authors: Nagy Ramona , Menyhardt Karoly
Published: September 2013

In this paper, a model with four degrees of freedom is studied to assess the discomfort of car passengers due to vibrations. The response of the half car model due to road irregularities is presented in order to attain a control method for the dampers. For the analytical study, the differential equations of the motion were written in order to determine the critical frequencies. The resulted model takes into account both the forced and damped solution for a numerical case, thus giving a more detailed overview of the phenomena. Using this numerical case, a control method can be developed to reduce the passenger discomfort, based on the motion diagrams.
On the Van Der Pol Oscillator: an Overview
Authors: Cveticanin Livija
Published: September 2013

In this paper an overview of the self-sustained oscillators is given. The standard van der Pol and the Rayleigh oscillators are considered as basic ones. The cubic nonlinear term of Duffing type is included. The special attention is given to the various complex systems based on the Rayleighs and van der Pols oscillator which are extended with the nonlinear oscillators of Duffing type and also excited with a periodical force. The connection is with the linear elastic force or with linear damping force. The objectives for future investigation are given in this matter.
Modification of the Dual Kelvin-Voigt/Maxwell Rheological Behavior for Antiseismic Hydraulic Dampers
Authors: Bratu Polidor
Published: September 2013

The dissipative function is presented, depending on stiffness and maximum displacement, for a hydraulic damper with silicone oil at an exterior excitation type shock, applied in the time domain. For the same constructive solution, silicone hydraulic oil, the same structural mechanic elements, but with different settings/adjustments, one can model the rheological system Kelvin-Voigt, as well as the Maxwell system. In this context, the main behavioral differences in dynamic response will be presented, as well as the stiffness, dissipation and displacement during the applied shock parameters.
Recent Advances in Vibration Signal Processing Techniques for Gear Fault Detection-A Review
Authors: Bajrić Rusmir , Zuber Ninoslav , Isić Safet
Published: September 2013

This paper provides a review of the literature, progress and changes over the years on fault detection of gears using vibration signal processing techniques. Analysis of vibration signals generated by gear in mesh has shown its usefulness in industrial gearbox condition monitoring. Vibration measurement provides a very efficient way of monitoring the dynamic conditions of a machine such as gearbox. Various vibration analysis methods have been proposed and applied to gear fault detection. Most of the traditional signal analysis techniques are based on the stationary assumption. Such techniques can only provide analyses in terms of the statistical average in the time or frequency domain, but can not reveal the local features in both time and frequency domains simultaneously. Frequency/quefrency analysis, time/statistical analysis, time-frequency analysis and cyclostationarity analysis are reviewed in regard for stationary and nonstationary operation. The use of vibration signal processing detection techniques is classified and discussed. The capability of each technique, fundamental principles, advantages and disadvantages and practical application for gear faults detection have been examined by literature review.
Corrosion Mechanism on Offshore Wind Turbine Blade in Salt Fog Environment
Authors: Dong Xiao Hui , Yuan Tie Jun , Ma Ru Hong
Published: September 2013

Targeted at the phenomenon of offshore wind turbine blades cracking and tearing up, the corrosion mechanism on offshore wind turbine blade in salt fog environment is researched. By means of analyzing the blades structural damage and the corrosion in salt fog environment, the main damage forms of the blades can be summed up with a further view to discussing and analyzing the corrosion mechanism on offshore wind turbine blade in salt fog environment from the perspective of both physical and chemical corrosion. A final conclusion is reached which shows that the pitted surface of the blade developed from the pumping and milling of sand blown by wind is the incentive and hydrone diffusion and ultraviolet radiation are the main factors that lead to the aging of materials and corrosion of blades.
Innovative Hydraulic Power Take-Off Construction and Performance Tests for Wave Energy Conversion
Authors: Antolín-Urbaneja J.C. , Lasa J. , Estensoro P. , Cabanes I. , Marcos M.
Published: September 2013

This document describes and demonstrates the features of a new innovative hydraulic Power take-Off (PTO) to be used for Wave Energy Conversion. This device is able to transform low frequency oscillating movement into a continuous high frequency angular speed, absorbing high fluctuated torque at the input shaft, which can reach up to 8000Nm. Moreover, the major breakthrough of this device is that it can control the braking torque through the modification of some geometrical parameters, L and R, and through the activation of more than one hydraulic cylinder together with the pressure. The output shaft of the PTO is able to rotate at different continuous rated speed through the actuation on a specific control valve at the inlet of the hydraulic motor. Tests to check the behavior of the PTO related to the smoothening of the power output and concerning the time needed to increase the high pressure and the time available after the accumulation of some quantity of energy in different initial conditions are presented.
A DSC Investigation of the Effects of Cold Deformation and Low Temperatures Aging on the Microstructural Stability of a Peak Aged (PA) Al 6061 Alloy
Authors: Hayoune Abdelali , Titouche Nacereddine
Published: September 2013

The effects of cold deformation and low temperature aging on the microstructural stability of a peak aged (PA) Al 6061 alloy were investigated by means of DSC and microhardness measurements. During aging at a relatively low temperature (100 °C) of the PA material, a small increasing of the mechanical properties was detected, which was explained by the formation of atomic clusters, GP zones and β phase. The response to the aging treatment of the cold deformed materials depends on both the level of the cold deformation and the aging temperature. During aging at relatively low temperature (100 °C), in contrast to the 75 % deformed material that shows a small variation in their mechanical properties, the mechanical properties, of the 30 % deformed material, are almost constant. This was attributed to the higher driving force of the recovery reaction in the heavily deformed material. In the other hand, aging at relatively higher temperature (140 °C) of the heavily deformed material, leads to a fast softening due to an increasing of the recovery kinetics.
Design and Test of a Thermomagnetic Motor Using a Gadolinium Rotor
Authors: Franzitta V. , Viola Alessia , Trapanese Marco
Published: September 2013

This paper presents a Thermomagnetic Motor, whose design of the motor is based on a thermal-magnetic coupled dynamic model, which models its magnetic as well thermal properties (magnetic permeability and thermal conductivity). The thermal processes are supposed to be influenced by the thermal conductivity, the convection and the advection. An analytical expression of the generated torque, which links this quantity to the magnetic, thermal and geometrical parameters of the generated torque is given. A design of a machine, based on this theory is proposed and the related performances are numerically simulated. An experimental verification of the performances is reported.
Hydrodynamic and Noise Characteristics Analysis of a Sea Valve and its Optimization
Authors: Jin Hui , Zhu Xiang , Deng Bo Wen , Zhang Guan Jun , Hu Jun
Published: September 2013

The sea valve is a critical unit in the seawater pipelines onboard. Its mainly used to control and adjust the flux of seawater. In the practical use, the vibration and sound level of a kind of valve is proved to be too high to maintain the acoustic performance of ships.In this paper, the three-dimensional geometry and CFD model of a typical sea valve is established.Then the flow fields inside the valve, flow characteristics, drag reduction characteristics and noise characteristics were analyzed, as well as the fluid-solid coupling response between the flow field and the valve structure. Based on the analysis, two optimum schemes are proposed in order to improve the flow characteristics of the flow field and reduce vibration and noise level of this type of sea valves. The calculated results show that two optimum schemes both can improve the hydrodynamic and noise characteristics, and the scheme two is relatively better.
A New Topology of Five-Level Neutral Point Clamped Inverter for Motion Control Systems
Authors: Baimel Dmitry , Tapuchi Saad
Published: September 2013

The paper presents a new topology of 5-level neutral point clamped inverter that can be used for speed and torque control of synchronous and induction motors. The proposed topology has only two bi-directional and four standard IGBT switches per phase. The significant advantages of the proposed inverter are simpler control and lower number of switches than in the standard 5-level inverters. Extensive simulation results validate the practicability of the proposed inverter. Several aspects as Total Harmonic Distortion Factor of the inverter output currents, and voltages, harmonic content, and frequency spectrum distribution are studied.
Study on the Humanized Design of Medical Furniture
Authors: Zhang Ji Juan , Zhang Guo Qiang
Published: September 2013

According to the special requests of modern hospital interior space, the medical furniture is defined and classified. By analysis the humanized design principle of medical furniture, as a special medical equipment, it emphasizes that the patients psychological needs should be considered in the design of medical furniture, and proposes new humanized design methods from each design essential factor to make the medical treatment environment better.
A Novel LabVIEW-Based Automatic System for Deep-Water Hydrologic Sampling
Authors: Xue Tian Liang , Xia Jun Fang
Published: September 2013

A novel LabVIEW based system is designed to automatically sample hydrological samples in deep rivers. This paper is intended to describe the principles of the system design, the hardware component architecture and software design for the sampling operations. The designed system is capable of dynamically measuring the depth of water using a pressure sensor, as well as automatically taking hydrology samples by means of measuring cross-section 6 point method. The sampling operation tests showed the designed system has higher degree of automation, higher measurement precision, higher reliability and practicability.
Tensor-Based Web Services Discovery Model and its Algorithm
Authors: Zhan Hang Min , Zhang Lin Jian
Published: September 2013

The manufacturing services and resources matching are a key issue in building of the cloud manufacturing platform. This paper presents an ontology based service matching approach, which introduces QoS information to improve the accuracy of matching. The SVD method is used to recover unknown QoS data. The experimental results show that the algorithm can effectively improve the quality of service matching.
Design and Development of the Energy Management System in Cigarette Manufactures
Authors: Zhu Dao Fei , Wang Jian Jun , Wang Hua
Published: September 2013

It is an increasingly urgent demand for Cigarette manufacturers to promote energy conservation. Energy management system is an important tool to further reduce energy consumption and improve energy efficiency for cigarette manufacturers. In this paper, the design principles, the overall framework and the system function of the energy management system in a cigarette manufacturer are introduced. After energy management system is put into operation, comprehensive energy consumption per unit product is about 16.35% shorter than before. It has some reference value for the construction of other cigarette enterprise.
Design and Implementation of Intelligent Warehousing Management System Using Internet of Things
Authors: Liu Xiao Jie , Liu Quan , Xu Wen Jun , Yang Li Wen , Fan Li , Chen Bo
Published: September 2013

In this paper, an intelligent warehousing management system (IWMS) using Internet of Things is designed to facilitate the warehousing management. Firstly, the characteristics of IWMS are analyzed, together with some new advanced technologies and theories, such as RFID, Zigbee and heterogeneous network are introduced. Then, the architecture of IWMS is developed and the related management system is accomplished as well. Finally, through the implementation of a prototype system in practical working environment, the operation results show the IWMS can facilitate storekeeper to manage the warehouse and improve logistics capability efficiently.
Compensation and Experiment Research of Machining Error for Optical Aspheric Precision Grinding
Authors: Ke Xiao Long , Guo Yin Biao , Wang Chun Jin
Published: September 2013

According to the demand of precision machining for optical aspheric lens, especially large scale optical aspheric lens, this paper presents an error compensation technique for precision grindging. Based on precision surface grinding machine (MGK7160), grating-type parallel grinding method is put forward to realize grinding paths planning for optical aspheric lens. In order to obtain surface metrology and evaluation after grinding, an on-machine measurement system is built. On the basis of compensation principle, machining error is separated to achieve error compensation. Grinding experiments are carried out and show that it can meet the demand of precision grinding, and the accuacy after error compensation attains 6.5μm.
Dynamics Modeling of Cavitation Bubble in the Grinding Area of Power Ultrasonic Honing
Authors: Zhu Xi Jing , Guo Ce , Wang Jian Qing , Liu Guo Dong
Published: September 2013

t can particularly generate abundant cavitation bubbles in the processing of the power ultrasonic honing. The dynamics of cavitation bubbles in the grinding area are very vital to study the machining mechanism and the cutting chatter of power ultrasonic honing. Based on the Rayleigh-Plesset equation, a new dynamics model of cavitation bubble is established, considering the velocity of ultrasonic honing and honing pressure. With the superposition principle of velocity potential, the dynamics of double cavitation bubble is also established. Moreover, the dynamic characteristics of cavitation bubble also can be simulated numerically. The results show that cavitation bubble in the grinding zone begins to grow extensively and then undergoes collapse, and even subsequent rebound and then. The variation trend of radius change of double cavitation bubble in the grinding area is more than that of single cavitation bubble by an order of magnitude.
High-Accuracy Calibration of the Wheel Spindle Tilt Angle for Grinding Hydrostatic Seal Rings Used in Reactor Coolant Pumps
Authors: Feng Guang , Huo F.W. , Jin Zhu Ji , Kang Ren Ke , Guo Dong Ming
Published: September 2013

The hydrostatic seal rings are one of the most important components used in reactor coolant pumps. They are generally made of hard materials such as silicon nitride, alumina, silicon carbide and tungsten carbide. Meanwhile, the form error should be within the length of one to two helium light bands and the surface roughness should be in the scale of nanometers, which make them difficult to machining. In order to solve this problem, a high accuracy grinding method using a large cup wheel had been proposed and the tilt angle of the cup wheel spindle become a crucial factor affecting the ground form errors. This paper addresses a novel method for high-accuracy calibrating the tilt angle of the cup wheel spindle to fit the extremely shallow taper angle of the seal ring conical surface, and the mathematical model is established incorporating a standard optical flat with a high-accuracy laser displacement sensor. The practicability of this method is verified by grinding a seal ring sample with the outer diameter is 200 mm and the taper angle is 700 μrad. It is found that the taper angle error is only 1.72 μrad and the radical profile error of the conical surface is about 0.22 μm.
Research on the Ultrasonic Assisted WEDM of Ti-6Al-4V
Authors: Han Guang Chao , Soo Sein Leung , Aspinwall D.K. , Bhaduri Debajyoti
Published: September 2013

An investigation was made for application of ultrasonic vibration in electro discharge machining (EDM) and wire EDM, and only the vibration of wire was found to have been applied on WEDM. This paper studied on the effect of workpiece vibration to the WEDM process. The horizontal vibration of Ti-6Al-4V was applied on the rough cutting process of WEDM to study the variation of kerf width, machining rate and surface roughness. The results show that the workpiece vibration of WEDM has different effect with the wire vibration, which can improve the machining rate and kerf width, but increase the surface roughness.
Effect of Ultrasonic Vibration Parameters on Machining Performance Based on Tool-Workpiece Contact Ratio
Authors: Lu Dong , Wang Qiang , Wu Yong Bo , Huang Hong Аu
Published: September 2013

Ultrasonic assisted turning (UAT) is an efficient cutting technique for difficult-to-cut materials. In order to study the effect of vibration parameters on machining performance, tool-workpiece contact ratio (TWCR) was defined. A finite element model for ultrasonic assisted turning of Ti-6Al-4V was established. Effects of tool vibration frequency, tool vibration amplitude and workpiece cutting speed on cutting force and cutting temperature were analyzed. It is observed that both the increase in the tool vibration parameters and the decrease in the cutting speed reduce the TWCR, which in turn reduces both cutting forces and cutting temperature. By using the finite element model the appropriate tool vibration frequency, tool vibration amplitude and cutting speed can be obtained.
A Study on Grinding Tungsten Carbide with Ultrasonic Assisted
Authors: Tso Pei Lum , Tseng Chao Chun
Published: September 2013

In order to cope with high demanded industry requirements. The super-hard alloys such as Tungsten Carbide have been widely used in aerospace and defense industries. So far, the grinding operation is still the most popular machining process being used to cut these materials in shape. But, owing to the nature of these materials mechanical properties, always made it very difficult to grind as well as to cut. Nevertheless, the allowable grinding parameters are resisted to very limited range and always require use very expensive super abrasive grinding wheel. Recently, study by many researchers show that the ultrasonic assist grinding had the advantage of higher material removal rate, less cutting force and lower cutting temperature. In the mean time, the tool life had been improved greatly. In this study, the conventional GC grinding wheel was used in the experiments to study the material removal rate; grinding force; surface roughness as well as specific grinding energy with and without the ultrasonic assist. The results show that these difficult-to-cut materials can be ground easier with proper ultrasonic assist and low-priced grinding wheel.
Effects of Permanent Magnet Excitation on Material Removal Rate in Area Taking Magnetorhelogical Finishing
Authors: Yin Shao Hui , Wang Yong Qiang , Deng Gao Jian , Luo Hu , Chen Feng Jun , Lu Zhao Cheng
Published: September 2013

In this paper, a novel area taking MRF process using permanent magnet as excitation was proposed. Four types of permanent magnet configurations were considered. Polishing experiment was conducted. Effects of different permanent magnet configurations on material removal rate (MRR) were discussed.
Polishing Technology and Phenomena of the Inner/Outer Surfaces of Small Cup-Type Nickel Tube-Study of Ultraviolet-Ray Aided Machining
Authors: Tanaka Takeshi
Published: September 2013

Our main purposes were to establish ultraviolet-ray aided machining (here after reffered to as U-RAM) and clarify the chemical and mechanical polishing mechanism. The inner/outer surfaces of small cup-type nickel tube is strongly required to polish, simultaneously. The present study deals with the new development of simultaneous polishing technology and the verify of polishing phenomena that uses a photocatalyst and a cathilon (a luminous dye: Cathilon Brilliant Flavine; hereafter referred to as cathilon) excited by an ultraviolet ray (hereafter referred to as UV). Measurements and observations clarified that TiO2of 0.18-μm grain size polished chemically/mechanically the outer surface using cathilon, and cathilon chemically polished the inner surface of small cup-type nickel tube, simultaneously. Further measurements indicated that the chemical erosion roughened the inner surface, when cathilon increased from 2.5, 5 to 20wt%. An increase of TiO2to 20wt% at 20wt% of cathilon did not result the flatter surface. Aluminum oxide does not provide the polishing ability due to the poor photocatalyst effect compared with TiO2.
Progress of Researches on the Surface Topography Detection Techniques for Grinding Wheel
Authors: Liu Wei , Deng Zhao Hui , Wan Lin Lin , Wu Qiao Ping , Tang Hao
Published: September 2013

As one of the important input parameters in the grinding process, the surface topography characteristic of grinding wheel has a decisive impact on the grinding performance. To evaluate and analyze the microscopic surface topography, the premise must be able to detect the microscopic surface topography accurately. Based on the measurement of detection device and its spatial position, the surface topography detection methods have been classified, the principle has been specifically analyzed for some typical detection methods, and the research work done by domestic and foreign scholars in the area. Finally, the current problems and future research direction in the field have been analyzed.
Adaptability Comprehensive Evaluation of Auto Assembly Machine Product Platform for Small Shaft and Sleeve Subassemblies
Authors: Deng Zhi Feng , Zhang Zi Qiang , Li Run Dian , Xu Hong Hui
Published: September 2013

In order to perform adaptability comprehensive evaluation of auto assembly machine product platform for small shaft and sleeve subassemblies, with product family-oriented design, more reasonably and effectively, a fuzzy comprehensive evaluation method based on fuzzy analytic hierarchy process (FAHP) is discussed in this paper. And the hierarchical structure of comprehensive evaluation index system, the alternative set and the comprehensive evaluation model of product platform are established through this method, thus obtaining a satisfaction value, which realizes the change from qualitative evaluation to quantitative evaluation for product platform evaluation. The result shows that the method has a strong feasibility and operability.