bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Wireless Sensor Network Node for Tower Crane Safety Monitoring System
Authors: Zhang Qing Chun , Zhang Zhao Heng
Published: February 2014

Based on the status of tower crane safety monitoring for construction project, the Internet of things technology is applied for tower crane safety monitoring and early warning system, the WSN nodes are designed for displacement, stress and distance monitoring function. Through the wireless transceiver module CC2530, field monitoring data are uploaded timely and accurately to the monitoring center PC, for real-time display and processing. If the monitoring data exceeds the alarm value, the alarm signal will be sent out immediately, to prevent tower crane accidents effectively, and ensure the safe of crane operation. By the network debugging, WSN node performance is reliable, and the measuring data is accurate. It has high performance to price ratio and application value.
A Kind of Rapid Beer Bottle Mouth Defect Recognition Method Based on Vision
Authors: Xie Yu Chan
Published: February 2014

In order to improve the beer bottle mouth defect testing speed on production line, in this paper a new fast detection method based on machine vision was presented. The method made full use of the circle center symmetry of the annular region on bottle mouth, in which only pixels position in 1/8 bottle mouth area were needed to obtain the whole pixels location on the circular area. By this way much a lot time were saved. The implementation steps were described in detail. Experiments and analysis shows: the method could recognize the defect on beer bottle mouth accurately and quickly.
Based on Signal Processing and Diagnosis for Large Port Crane Condition Monitoring System Vibration Detection of High Speed Heavy-Duty Crane
Authors: Tong Min Hui , Qiu Hui Qing , Wang Yue Min
Published: February 2014

In order to master the safety status of the large port crane and diagnosis and predict the fault in advance for alerting, the condition monitoring and diagnosis & sensing system is used in this paper. By using sorts of sensors and accelerate meters installing on the crane, acquire all kind of signals of the machine, then put the data to the signal processing and diagnosis sensing system, the operation status of the crane can be found out, and the potential fault or failure can be diagnosis and detected in advance. The condition monitoring and diagnosis & sensing sys-tem can acquired the condition status from the large port crane and diagnosis the potential fault or failure for the machine. Thus, the problem how to master the condition of the large crane port crane and provided the safety alerting for the huge machine is solved.
Fault Detection Filter for T-S Fuzzy Time-Delay Systems Base on LMI
Authors: Wu Di , Li Qiang , Kang Wei Xin
Published: February 2014

A Fault Detection scheme for T-S fuzzy systems with unknown inputs is discussed based on the LMI approach, adopting the H control theory. Firstly the reference model is introduced, a fault observer is constructed to reflect the residual of system fault. Then the proposed filter design provides sufficient conditions for the existence of a solution to the detection of faults. By means of the Projection Lemma, a quasi-convex formulation of the problem is obtained via LMI. The filter can guarantee the prescribed performance index, which minimizes the error between the residual and the real residual signal and has robust performance to unknown inputs. The effectiveness and feasibility of the proposed approach is illustrated via a numerical simulation.
Modeling Resource Availability Measurement for System Integration
Authors: Zhao Ning She
Published: February 2014

The issues about method of resources availability measurement in system integration are discussed. Firstly it analyzes the change of system resource state and discusses the mechanism of transmission of failures based on resource faults. Secondly the method of resource faults-based health measurement, and the representation of classification and formalization for resources in system integration, and the theoretical means of availability metrics of resources and resource platform are provided. The formal representation of the resource structure embodies the managing properties including resource object type, nature and state etc. And it shows the expression for degradation process of resource and events of faults production. That highlights the significance of resource integration to traditional management.
Design and Implementation of Electrostatic Parameters Network Monitoring System
Authors: Zhang Yong Qiang , Wu Wei Dong , Zhou Wan Zhen
Published: February 2014

This paper presents an electrostatic parameters network monitoring system, which has achieved three types of devices, those are static dynamic potential test unit, non-contract electrostatic potential test unit and body static parameter test unit. In these three devices embedded microcontroller system, by deploying streamlined TCP/IP protocol stack to encode and transmit the data, and the PC receives data for display and then stores in the database.
Synchronized Diagnosis of Laser-Pulse MAG Hybrid Arc Based on Multi-Information
Authors: Gao Ying , Han Jing Hua , Lou Li Yan
Published: February 2014

Laser-Arc Hybrid welding technology was first introduced by English scholar W.M.Steen in 20th century 70s, developed very rapidly. In order to study the effect mechanism of laser and arc,This paper presents a control strategy,the strategy can collect welding electric information, high speed photos and spectral information synchronously. By using the Labview software, industrial computer, data acquisition card, a high speed camera, spectrometer, synchronous multi-information acquisition system of welding has been established.the system has been used for the hybrid welding experiment, the peak value, base value and platform value of the laser-arc hybrid welding has been collected. Laid the foundation for further diagnosis of laser-arc in a variety of state.
Based on D - S Evidence Theory of Solution Concentration Detection Method Research
Authors: Wang Xian Bao , Zhao Shi Hai , Wei Guo
Published: February 2014

According to the theory of multi-sensor information fusion technology, based on D - S evidence theory to fuse of multiple sensors feedback information from different angles for detecting solution concentration, and achieving the same judgment; This system uses of D - S evidence theory of multi-sensor data fusion method, not only make up the disadvantages of using a single sensor, but also largely reduce the uncertainty of the judgment. Additionally this system improves the rapidity and accuracy of the solution concentration detection, and broadens the application field of multi-sensor information fusion technology.
The Design of Indoor Humidity Temperature and Harmful Gas Monitoring System Based on Single Chip
Authors: Yu Bo
Published: February 2014

At present, with the improvement of living standards, peoples comfort demand on indoor living environment is higher and higher. Housing and rooms which are the places of peoples life and family reunion are the important material conditions, but with the mass use of decoration materials and more and more wide daily article use, household environment hazards not only in the influence of the indoor humidity temperature, also in the size of the indoor harmful gas concentration. After indoor decoration, formaldehyde monitoring is the concentration of peoples attention. The related data statistics of Chinese environmental protection association show that the illness or death proportion due to indoor environment pollution every year has aroused the experts attention, and indoor environment pollution has become one of killer which has a serious influence of the modern human health. Nowadays, there are indoor environment monitoring instruments in market, which mainly aim at the harmful gas detection with single function, and expensive price. According to the market research, there is a need for comprehensive system of household indoor humidity temperature and harmful gas detection. This paper aims at it [1,2].
Residual Fault Detection Filter Design in the Finite Frequency Domain Based on LMI Optimization
Authors: Liu Li Hua , Wei Xiu Kun , Liu Xiao He
Published: February 2014

In the observer based fault detection methods, the parameter be designed and optimized is the observer gain matrix. However, an observer cannot be optimized to achieve all the expected performances. A novel fault detection filter designed method is presented in this paper, where the filter is cascaded after the observer based fault detection system. The filter is designed to be sensitive to the faults but robust to the disturbances and model uncertainties in the finite frequency domain. For the proposed filter, there are four matrices need to be optimized and the performance would be enhanced significantly. The effectiveness of the proposed method is demonstrated by applying it to a railway suspension system.
Typical Faults Analysis and Treatment Measures for Forklifts
Authors: Liu Yi Min , Huang Guo Jian , Wang Xin Hua
Published: February 2014

In order to study the typical fault types of Field (Factory) Special Motor Vehicle in the inspection process, we visited many warehouses and wharves in Huangpu District for inspection research, then summarizedthe typical failure modesand took its failure causes and treatment measures for key research. First, wemade statistics and summarized the failure law according to the typical fault types among the old vehicles of annual test. Then we analyzed the concrete manifestation and summarized the failure causes from the braking performance, knuckle mechanic, tire wear, fork loose and other failures of forklift. Then we aimed at the new vehicles of test and acceptance of fault type for statistical analysis. Finally, weformulate corresponding measures according to different fault types. As the result of Inspection and investigation showed, the failure rate of electric forkliftreaches to 1.3% as the failure rate of diesel forklift is to 10.7%; the market share of electric forklift of test and acceptance rose from 41.6% to 78.3% compared with electric forklift of annual test. Braking deviation oflinear acceleration is the most typical fault type of forklift; electric forklift make more excellent performance than diesel forklift on key parameterssuch as braking; forward forklift easily has rollover accidents.
Analysis and Verification of the Optimal Placement of Actuators in Modal Test on Beams
Authors: Zhang Jun , Li Lin , Gou Ming Kang , Zhang Ying , Ni Xiao Lu
Published: February 2014

The optimal placement of actuators is studied with the combination of numerical calculation and modal test methods. The results indicate that the optimal excitation position is close to the maximum displacement of a cantilever beam, but the conclusion is not the same as a simply supported beam. The calculation results are consistent with the experimental results, which show that the approach in the present study is correct, and can be popularized.
Study on the Fuel-Saving Efficiency of Electric Vehicles under Empirical Test
Authors: Zhang Heng Jia , Yang Bo
Published: February 2014

This study constitutes an empirical fleet with electric vehicles (EV) and conventional vehicles (CV) which used by a large number of test participants who have different travel mileage to research the fuel-saving efficiency of EVs under daily travel mode within six months. Experimental results show that there is a great difference in energy consumption when EV running under different average temperatures and seasons. During summer (high temperature) and winter (low temperature) the energy consumption is bigger and the average electric consumption of 100-kilometer is 12.3 kWh/100km. The fuel-saving efficiency of EV in Tianjin empirical test is 66.7% and which is 74.8% in ten typical cities in China. EV has better fuel-saving effect in the whole country. The fuel-saving efficiency in working-days and rest-days is 80.3% and 42.2% respectively. EV has the best fuel-saving effect in working-days.
Research Status and Development of the Circuit System of Giant Magneto-Impedance Sensor
Authors: Duan Xiu Sheng , Xiao Jing
Published: February 2014

Giant Magneto-Impedance (GMI) sensor is a new type of magnetic sensors. Comparing with traditional sensors, GMI sensor has the advantages of high sensitivity, good reliability, wide measuring range and small size and is potential in resisting harsh environment. In the paper, circuit systems both in overseas and domestic researches are analyzed, shortcomings of the systems are pointed out and some improvement ideas are presented. At last, elaborate the development trends of GMI sensor's circuit system to find a practical solution for data processing technology.
Support Vector Regression on Near-Infrared Spectra Analysis for Moisture Determination in Lignitic Coal Samples
Authors: Yang Xiao Li , Li Yan Fang , Zhang Xing Wang , Hu Shi Qiang
Published: February 2014

We studied rapid moisture determination in lignitic coal samples using near-infrared (NIR) spectrometry technique. This research applied support vector regression (SVR) and discrete wavelet transform (DWT) to analyze NIR spectra. Firstly, NIR spectra were pre-processed by DWT for fitting and compression. Then, DWT coefficients were used to build support vector regression model. Through parameters optimization, the results show that DWT-SVR can obtain satisfactory performance for moisture determination in lignitic coal samples.
Research on Modeling Method Based on Multi-Signal Flow Model
Authors: Wang Zhi Qiang , Yan Xu , Wang Chun Ping
Published: February 2014

Establishing a test system model is necessary guarantee to realize the state monitoring, and also the premise of optimizing test points. The modeling method, principle and steps based on multi-signal flow model were analyzed in this paper. And a test point optimization method based on this model was studied. Through analysis and comparison, the proposed method can reduce complexity of monitoring system, avoid blindness of the diagnosis and reasoning process, and improve efficiency of fault diagnosis.
Research and Design of a Steel Material Sorting Instrument Based on Eddy Current
Authors: Lan Qi , Ma Fu Hua , Nong Zheng
Published: February 2014

Eddy current is presented in electric coil when it approaches metallic conductor. Different metals have different conductivity and permeability. Therefore, the equivalent impedances of the electric coil are also different. Based on the principle, a Steel material sorting instrument was made to detect the steel permeability level, through the permeability level, combined with the central processing circuit steel hardness values reflect iron parts, materials and the carbon content of steel, mixing nondestructive sorting.
Varistor Characteristic Analysis of the Piezoresistive Sensors
Authors: Shi Yun Bo , Li Xiang
Published: February 2014

In the process of the piezoresistive sensor design, the placement of varistor has a great influence on the sensitivity of the sensor.In this paper, three theoretical models of piezoresistive sensor are established.The stress simulation analysis of the different varistor path way placed on the cantilever beam is conducted in Ansys software. The sensitivities of the axis and transverse direction are calcuated and compared by Matlab compiler. The results show that the placement of varistor which is parallel to the cantilever beam is the most optimal choice.
Research on Compensation Correction of Leak Impact Factor of Kent Index Method
Authors: Xu Jin , Shao Bi Lin , Wu Qiong
Published: February 2014

Aiming at the existing defects of pipeline risk assessment model of Kent index method on spill score,population score and leak impact factor, five compensation coefficient are put forward in pipeline risk assessment basic model qualitatively,of which include past failure modes,emergency response, sensitive environment,high value areas and support/oppose of nearby residents.Thus,the compensation correction model on leak impact factor of pipeline risk assessment are established.This model enhances the accuracy for the work of pipeline risk assessment.Finally,the verification analysis showed that the modified model can objectively reflect the degree of pipeline risk.
Numerical Study on Heat Exchange Characteristics of Runways with Snow-Melting System Using Geothermal Sources
Authors: Cui Jing , Liang Yu Peng , Guo Yong Hui , Zhao Xue Bin , Ma Si Yue , Shi Li Xue
Published: February 2014

In this paper, a wall-soil-snow coupling model was established and the mechanism to heat melting system was analyzed. The temperature field and the phase interface moving rule in the process of melting snow were obtained.The selection of system parameters (ambient conditions, diameter, buried depth, pipeline pitch) were studied as well. These results have important reference value for design and optimization of heat source snow-melting system.
Slant-Face Fiber Side Coupling of Vertical Cavity Surface Emitting Laser
Authors: Liu Yuan Yuan , Liu Rui Cong , Chen Xue
Published: February 2014

Slant-face fiber side coupling of vertical cavity surface emitting laser (VCSEL) is reported. The direct coupling efficiency can reach 70%. The relative coupling efficiency variety caused by the position displacement and angle displacement was studied respectively. It is found that the cylinder of the fiber can collimate the divergent laser beam and improve aligning tolerance.
Research on the Behavior of Intelligent Role in Computer Games Based on Behavior Tree
Authors: Ji Li Xia , Ma Jian Hong
Published: February 2014

Design of intelligent role behavior about computer games is a challenge in the artificial intelligence (AI) field. Finite state machine (FSM) is often used to design the behavior of games. The limitation of FSM is using simple logic to design complex intelligence role behavior, and it cant produce reasonable interactive role behavior in dynamic game environment. This paper studied and proposed a generic behavior tree method. This method can achieve AI framework effectively. It is a generic and maintainable tool for complex processes management. Behavior tree is hierarchical, and all of its layers are parallel. Through conditions and control node of behavior tree, we can use the graphical control various branching behavior clearly, and thus respond more complex intelligent role behavior.
Building the Audit Information System in Cloud Computing Environment
Authors: Wei Xiang Jian
Published: February 2014

The traditional audit model is the audit organ procurement respectively the application server, database server and network audit system, and then the auditor through the office LAN access audit information system. Each audit institution needs to configure the independent hardware and software resources in the audit mode, the result will generate IT costs high and professional maintenance costs are high and need a lot of professional maintenance staff. Development and utilization of cloud computing become the factors or not but with the popularity of IT applications in various industries department. Cloud computing is outside of the Internet industry, and further affect the accounting and auditing profession, bring new challenges in the development of cloud computing to audit, (Rongsheng-Qin, 2013). Today, under the rapid development of cloud computing, cloud computing concepts of how to use the Internet, how to through the cloud storage data, coordinated various audit resources in the cloud, for the auditor to provide more efficient, more scientific audit process, finally realizes the auditing organs at all levels of hardware resources, software resources, Shared services, to optimize the use of audit resources fully, is China's national audit problems to be solved in the future. This paper build a cloud computing environment audit the basic frame of information system under the research and application status of cloud computing.
Multi-Objective Optimization of Vehicle Air Suspension Based on Simulink-Mfile Mixed Programming
Authors: Li Jin Hui , He Jie , Li Xu Hong
Published: February 2014

In order to reduce the road damage of heavy trucks, comprehensively considering ride comfort and road friendliness, the multi-objective optimization method of vehicle suspension parameters with non-linear air spring was presented based on Simulink-Mfile mixed programming. The simulation model including vehicle dynamics module, road roughness module, ride comfort and road friendliness evaluation index modules was constructed in Simulink platform, and the multi-objective optimization model was developed in Mfile program which took the linear weighted sum of ride comfort and road friendliness indexes as the objective. Then the suspension parameters were optimized with genetic algorithm (GA). The results showed that, compared with before optimization, the vehicle ride comfort and road friendliness could be synthetically improved. And with the Simulink-Mfile mixed programming method, the optimization of nonlinear vehicle suspension could be successfully solved in time domain, which could provide a new idea for vehicle suspension design.
Investigation on Aerodynamic Configuration of Monitoring Long Endurance UAV
Authors: Ma Dong Li , Qiao Yu Hang , Yang Mu Qing
Published: February 2014

In recent years, monitoring long endurance UAV is widely used in civil fields such as earthquake relief, it has certain particularities in comparison with conventional UAV; this paper studied and summarized its key technologies in aerodynamic configuration. The research of aerodynamic configuration is based on a general scheme, research indicates that: (1) monitoring long endurance UAV has the characteristics of low-Reynolds number, so laminar airfoil is needed to increase lift-drag ratio; induced drag can be reduced by optimizing wing twist angle; (2) subsection control surface and new design method on flight-quality would improve control reliability and flight quality, which are indispensable for the UAV to guarantee safety in bad weather condition; (3) take-off/landing/taxiing performance should be considered in order to improve the runway adaptability of the UAV.
Preparation and Rheological Characterization of Cross-Linked Dialdehyde Carboxymethyl Cellulose
Authors: Li Wen Hao , Ye Jun , Xiong Jian
Published: February 2014

The carboxymethyl cellulose (CMC) is oxidized to the dialdehyde carboxymethyl cellulose (DACMC) at extremely acid media by sodium periodate. The reaction has been carried out at pH 2.0, temperature 35°C for 1.5h, with a NaIO4/CMC molar ratio of 1.1. FTIR peaks confirm the oxidation of CMC to DACMC. Furthermore, the rheological properties of CMC and DACMC were investigated by using steady shear and dynamic viscoelastic measurement in the range of concentrations (0.5~1 wt%). All of the CMC and DACMC solutions showed a shear thinning behavior over the shear rate at temperature from 30°C to 50°C. The zero shear viscosity (η0) was obtained by using the Cross model to fit experimental data. The η0values were used for detailed viscosity-concentration and activation energy analysis. The exponent in the viscosity-concentration power law was found to be lower than 1. The activation energy of the DACMC solution was bigger than CMCs. The effect of temperature on the storage modulus (G), the loss modulus (G) were also analyed in this study. In view of the foregoing aspects and our interest in the oxidation of carbohydrates by this oxidant, the present study is of great significant to gain some information on the cross-linked product of periodate oxidation, and is helpful for developing novel carboxymethyl polysaccharide derivatives.
Crack-Less Electrical Discharge Machining of Molybdenum with Titanium Electrode
Authors: Kensei Kaneko , Katsushi Furutani
Published: February 2014

This paper describescrack-less electrical discharge machining (EDM) of molybdenum (Mo) with titanium (Ti) electrode. Mo is often machined by EDM because of its high hardness. However, a molybdenum carbide (MoC and Mo2C) layer with high hardness and brittleness is formed by EDM in kerosene oil. Moreover, Mo becomes recrystallizationembrittlement at high temperature. Therefore, many cracks occurred in the EDMed surface. On the other hand, the addition of Ti rises recrystallization temperature and improves high temperature strength of Mo.In order to decrease the cracks in the machined surface, Mo was machined by EDM with a Ti electrode in deionized water. In the case of the positive electrode polarity, many cracks occurred in the base material and recast layer. The cracks in the base material might generate by crystal grain boundary embrittlement. In contrast, the EDMed surface indicated crack-less on the negative electrode polarity. To clarify the causes of crack-less surface on negative electrode polarity, componential analysis of EDMed surface was carried out. The component ratio of Ti on the negative electrode polarity was higher than that on the positive. In addition, the recast layer was composed by Mo-Ti solid solution.
Preliminary Research of Truss-Wall Corrugated Cellular Solids
Authors: Choi Jeong Ho , Lee Jung Hwan
Published: February 2014

The objective of this study is to find the density, stiffness, and strength of truss-wall unit cell models. The diamond-corrugation, triangular-corrugation, and Navtruss-corrugation models are used for the unit cell. The ideal solutions derived for these are based on truss-wall unit cell models and are developed using the GibsonAshby theory. To verify the ideal solutions of the models, the density, strength, and stiffness are simulated using ABAQUS software and compared with the ideal solutions on a log-log scale. The material properties of stainless steel 304 are applied. The diameter is 0.5 mm; the opening width is 0.5 mm; and the corrugation angle is 45°. Consequently, the relative Youngs modulus and relative yield strength of the truss-wall unit models are good matches for the ideal expectations. It may be possible to apply a truss-wall model to diverse fields such as transportation or biomedical applications as one of the open-cell cellular solids.
System Dynamics Analysis of a Blood Supply Chain System
Authors: Afshar Jafar , Sadeghiamirshahidi Narjes , Firouzi Ali Reza , Shariatmadari Shahab , bin Syed Hassan Syed Ahmad Helmi
Published: February 2014

Supply chain is a complex system with many challenges to accomplish an important goal. Since the dynamical essence of supply chain is stemmed from the customer demands so decision making will be a major issue in this particular topic. However the decisions wont be usually in an optimum level because of the higher complexity of the system. In addition, the various supervisions of lots of groups with variety of managerial issues on different echelons have made some dilemmas to achieve the overall goal of the system. The aim of this study is developing a system dynamic model for better understanding of the blood supply chain behavioral pattern. Also the reflection of the current model is obtained and some comparisons among the current model and four different scenarios are investigated. The analysis at the end shows the system performance under four various investigated scenarios.
An Analytical Study on Stress Concentration due to a Cuboid Hole in Structures
Authors: Yang Yi , Cheng Yu Feng , Yang Chao
Published: February 2014

This paper presents an analytical study on the stress concentration problem due to a cuboid hole in structures. Base on the theory of elasticity and the finite element method, the governing equation with cyclic periodicities in three directions is established. By using the U-transformation technique, the nodal displacement solutions are given out in analytical form. Once the nodal displacements of the cuboid hole are derived, it is easy to discus the stress distribution around the hole. As an example, the paper discusses the problem that a cube hole in structure which is under x-direction tension loading, and obtains the stress concentration factor is 1.90. The research process can be extended to study the stress concentration problems under other loading conditions
Optimization of Insulation Design for Refrigerating Systems
Authors: Sarbu Ioan , Valea Emilian , Ostafe Gabriel
Published: February 2014

Economic operation with minimal energy consumption and low costs of a cooled room or a refrigerant piping system depends largely on the quality and thickness of their insulation. The classical method of insulation rating for refrigeration systems is based on respect of the condition to prevent condensation of water vapours in the air on the surface of insulation or on limiting heat gain, but rarely leads to optimum in terms of a technical and economic criterion. In this paper are described some types of insulation for refrigeration applications and is developed a rating optimization model of these insulations with a high level of generality. It uses multiple dynamic optimization criteria simple or compound, which better reflects the economic and energy complex aspects, present and future. Based on this model were elaborated two computer programs implemented on PC microsystems. Numerical examples will be presented to demonstrate the accuracy and efficiency of the proposed optimization model. These show the good performance of the new model.
Influence of Heating Systems on Indoor Environmental Quality
Authors: Sarbu Ioan
Published: February 2014

An HVAC system maintains desired environmental conditions in a space. All heating systems (heaters, warm-air or panels) do have the aim to assure in buildings the best thermal comfort. The studies and researches performed along years, by different specialists, demonstrate that at the choice of a heating solution, for a building, there must be considered the heat engineering aspects, as well as the economical ones. In this paper is developed an analysis of the temperature distribution (in air, on warm or cold surfaces etc.) and of the air streams velocity, according to the type of the used heating surfaces. It is defined, as well, the heating systems efficiency for more degrees of thermal comfort and energy consumption. Also, it is presented the influence of carbon dioxide on human performance and productivity.
Study on TISCO Corporation Material Suppliers Admittance Quantitative Evaluation Model
Authors: Lei Wei , Wang Zhe , Miao Rui , Xu Jing
Published: February 2014

On account of the huge fund of material procurement, TISCO need evaluate supplier with suitable model in order to provide decision basis. The article raised a kind of suitable quantitative evaluation model for TISCO material procurement. The process of model design adopted semi-structure interview and improved Delphi method to identify evaluation index, weight and standard. Moreover, using two potential suppliers information and data tested the model. The result displayed that the model could evaluate accurately supplier comprehensive ability, and the evaluation result could provide decision basis for supplier evolution.
Mathematical Modeling of Production Operations and Processes for Product Design and Manufacturing
Authors: Tilindis Justinas , Kleiza Vytautas
Published: February 2014

Production planning and control is becoming important issue in production as well as design process of products to be manufactured. Both of the fields require as accurate as possible computational model to control and predict manufacturing process. Since the variety of techniques is currently introduced, still there exists a gap for improvement. Most of efficiency calculation models addressed to whole production efficiency and model in this paper is dedicated for efficiency of particular product. This model could be also used for product design phase. Application of proposed model would facilitate and simplify the product design and production control.
Noisy Image Compressive Sensing Based on Nonlinear Diffusion Filter
Authors: Zhu Ying , Jia Yong Xing , Wang Yuan , Rong Chuan Zhen , Yang Yu
Published: February 2014

In the theory of compreesive sensing, the small amount of signal values can be reconstructed when signal is sparse or compressible.But the reconstruction of noisy image isnt very satisfied.In order to improve the quality of reconstruction image,the nonlinear diffusion filter is used in this paper.From the experiment results,the images reconstructed after nonlinear diffusion filter are better,and the value of PSNR is improved.
Effect of Creep on Thermal Stresses in ZrO2/Ti Functionally Graded Thermal Barrier Coatings
Authors: Tsukamoto Hideaki
Published: February 2014

This study numerically investigates the effect of creep on thermal stress states and design of ZrO2/Ti functionally graded thermal barrier coatings (FG TBCs) based on a mean-field nonlinear micromechanical approach, which takes into account the time-independent and dependent inelastic deformation, such as plasticity of metals, creep of metals and ceramics, and diffusional mass flow at the ceramic/metal interface. The effect of creep on micro-stress states in the FG TBCs has been examined in terms of the compositional gradation patterns. The suitable compositional gradation patterns have been proposed for typical thermo-mechanical boundary conditions with different creep abilities of constitute phases in the FG TBCs.
Single and Multilayer Growth of Graphene from the Liquid Phase
Authors: Kula Piotr , Pietrasik Robert , Dybowski Konrad , Atraszkiewicz Radomir , Szymanski Witold , Kolodziejczyk Lukasz , Niedzielski Piotr , Nowak Dorota
Published: February 2014

The preparation of poly crystalline graphene from the liquid phase has been discussed.The mechanism of graphene growth from the liquid phaseon the Cu-Ni alloy and the type of atmosphere, used inthe graphene fabrication-acetylene, ethylene, hydrogen has been presented. Stages of nucleation and poly crystalline growth of graphene were identified. The paper presents theresults of a single-and multi-layered graphene growth phase.It is assumed the final result will mean the optimization of the industrial-scale production of low-cost poly crystalline graphene.
Nonlinearity Mode Theory Foundation Research of EMP Coupling by Volterra Series
Authors: Gao Yong Sheng , Wu Sha , Ma Jiu He , Xiong Jiu Liang
Published: February 2014

Strong Electromagnetic Pulses (EMP) as a new idea weapon has caused many effects like malfunctions, performance degradation, interferences, and destructions in electronic and electrical systems. EMP coupling model research is the foundation of effect evolution and protection. In this paper, a new modeling method on the base of combination system identification theory and Volterra series algorithm was utilized to analyze the electromagnetic coupling process from an external field to an inner electric system. First, we will analyze the theory foundation of non-parameters model evolution. And then, using input and output test data, we presented commonly Voleterra series expression of EMP electromagnetic coupling model. Then, we analyze coupling models several important characteristics in detail. Finally, we approach High Order Spectrum algorithms to identify Volterra kernel functions. Theoretical results show that the Volterra kernel function will be used as an efficient method in EMP coupling model research and can apply this method to character the nonlinear behavior of the EMP electromagnetic coupling. The model described above was assigned under certain assumptions, moreover describes the effects in theory only and does not consider the time variation of the parameters of the system. From this reason it appears as more convenient to characterize the electromagnetic coupling process, by a more universal mathematical approach.
The Tensor Product Based Analytic Solutions of Nonlinear Optimal Control Problem
Authors: Bouzaouache Hajer , Benhadj Braiek Naceur
Published: February 2014

In this paper, the attention is focused on the optimization of a particular class of nonlinear systems. The optimum linear solution is not the best one so the problem of determining a nonlinear state feedback optimal control law with quadratic performance index over infinite time horizon is considered. It isn't an easy task and the most discouraging obstacle is the resolution of the Hamilton-Jacobi equation. Thus our contribution, based on the use of the tensor product and its algebraic laws, provide analytic solutions of the studied optimal control problem. The polynomial state feedback solution is computed through a numerical procedure. A numerical example is treated to illustrate the proposed solutions and some conclusions are drawn.
The Design of Pressure Regulating System for Large LNG Storage Tank Dome Gas Lift
Authors: Lv Zhe , Chen Yong Liang , Zhang Qing , Li Jin Ding
Published: February 2014

Dome gas lift is one of the core link in the process of the construction of a large LNG (liquefied natural gas) storage tank. The process of traditional gas lift is relying on the working experience to control the gas pressure inside the storage tank, which has low control precision and poor operability. In this paper, a kind of PID control method was designed through the analysis of the gas lift process and the data was extracted as the feedback parameters by multi-point gas pressure sensors. Simulation was proceeded by the MATLAB software. The results show that, this PID control method can automatically adjust the pressure of the process of gas lift. And it also has fast, stable and reliable control performance. This method has important practical value in improving the control precision of the large LNG storage tank gas lift.
Remote Control of an Agricultural Robot and Tests
Authors: Xue Jin Lin , Zhang Yong , Zhang Shun Shun , Feng Yong
Published: February 2014

To tirelessly perform the farming tasks, the remote control technology is getting more attention in agricultural production. In this work, the remote control for an agricultural robot was implemented, and then performances were tested such as the remote control distance and the tracking accuracy along a straight narrow and long furrow on a flat cement road. The results showed that the remote control distance was beyond 350m with no obstacle and it was down to 150m if there were obstacles like many humans between the remote and the platform. The tracking error becomes larger with the increasing remote control distance, and the suitable distance is less than 30m, at the speed of 1.5 m/s of the platform according to data from an RTK-GPS receiver. It is promising to apply the remote control technology along with the moving agricultural machines or for small-scale agricultural production.
The Design of Vortex Flowmeter
Authors: Li Shu Chang , Zhang Hai Shan , Tan Zi Zhong
Published: February 2014

This paper analysis the working mechanism and structure of vortex flowmeter and the street flow meter hardware circuit design. Signal conditioning circuit was designed including ultrasound transmitter receiver processing circuit, traffic signal conditioning circuit ,programmable amplifier and anti aliasing filter circuit.The temperature measuring circuit , infrared communication circuit and supersonic signal control electric circuit. These circuit to ultrasound dedicated chips UTA6902 as core. The vortex flowmeter was design of the design of liquid crystal display program, the design of temperature programming and the design of ultrasonic signal acquisition and processing program. It can be verified in the experiment.
Construction Principle and Application Test of 220kV Self-Healing Optical Voltage Sensor
Authors: Yang Hua Yun
Published: February 2014

In this paper, a self-healing optical voltage sensor (SOVS) based on the Pockels electro-optical effect and capacitive divider of BGO crystal is reported. A special design of automatic calibrating reference voltage source is used to solve the drift problem of measurement accuracy of an optical voltage sensor that was influenced by temperature. According to the mathematic models of capacitive divider and voltage sensors based on Pockels electro-optical effect, the real-time correction principle of sensing channel parameters is introduced, and the structure design of optical voltage sensor is given out. According to the IEC 60044-7 standard, the proposed optical voltage sensor is tested. The advantages of this voltage sensor in application and some testing records in a typical 220kV substation are introduced as well. The practical operation conclusion indicates the SOVS works stably, value of measurement is correct, and the configuration is good for extend in applications.
Research and Proof of Decidability on Self-Similar Fractals
Authors: Jin Min
Published: February 2014

Some undecidability on self-affine fractals have been supported. In this paper, we research on the decidability for self-similar fractal of Dubes type. In fact, we prove that the following problems are decidable to test if the Hausdorff dimension of a given Dubes self-similar set is equal to its similarity dimension, and to test if a given Dubes self-similar set satisfies the strong separation condition.
The Research on Cloud Computing Security Model and Countermeasures
Authors: Tang Jian Gang
Published: February 2014

Cloud computing is an open structure which have complexity, on-demand services, virtualization, resource pooling, rapid elasticity and multi-tenant architecture, etc. The security issues have become a bottleneck restricting the development of cloud computing. This paper analyzes the characteristics of cloud computing services, security requirements and security issues, given security strategies and a cloud computing model. It requires the use of cloud computing architecture data centers, virtualization platforms, cloud services, cloud terminal interfaces and cloud terminal to establish a secure cloud computing model. It needs considerations from prevention, surveillance and response to ensure the implementation and management. Cloud computing security is not just technical issues, it also involves many standardization, regulatory approach, laws and regulations and follow the existing security best practices can enhance the security of cloud computing.
Software Reliability Verification Testing Program Considering Hyper-Parameter
Authors: Li Qiu Ying , You Xing Chao
Published: February 2014

The impact of hyper-parameters is considered in the software reliability verification testing program based on the traditional Bayesian theory and a new Bayesian software reliability verification testing program is proposed, which could be used for high-reliability software. Examples are given to illustrate the effectiveness of this verification testing program.
The Estimation of the Hausdorff and Fractal Dimensions of the Global Attractor for 2D Autonomous g-Navier-Stokes Equations
Authors: Jiang Jin Ping , Wang Xiao Xia
Published: February 2014

In this paper, by using the energyequation method, the 2D g-Navier-Stokes equations with linear dampness on some unbounded domains wereinvestigated without the restriction of the forcing term belongingto some weighted Sobolev space. Moreover,the estimation of theHausdorff and Fractal dimensions of such attractors were alsoobtained.
Model of Supply Chain Disruption Risk Defense System
Authors: Li Han Qing , Ru Yi Hong
Published: February 2014

This study is comprised of three main problems. Firstly, a supply chain risk defense problem (SCRDP) is proposed. Then, the study considers a facility location problem in the presence of random facility disruptions where the facilities can be defensed with additional investments. It is formulated as a mixed integer programming model. Finally, a case shows a location solution which designs how to distribute the hardened and non-hardened facilities.
Wireless Sensor Networks for Structural Healthy Monitoring Applications-A Design Proposal
Authors: Xu Jian , Wan Wen Hao , Zhang Kai
Published: February 2014

Due to the development of the wireless communication technologies, wireless sensor networks (WSNs) are becoming more and more important in Internet of Things (IOT). In this paper, we proposed a design of a WSN for the enormous constructions structural healthy monitoring. Based on the analysis of the past project about the WSN for the highway healthy monitoring, we propose a novel design that can be used to guide the design of the future WSNs for the structural healthy monitoring. The focus of the design is the hardware design and the network layer design between the hardware and the users. In this paper we consider that 1) the WSN could detect the parameters related to the structural healthy, 2) the network layer design shall be able to utilize advanced wireless communication technologies, 3) the WSNs shall be able to provide the monitoring functionality and easily be reached by the users.
PZT Based Ultrasonic Wave Force Detecting Sensor
Authors: Ming Yan Wei , Cheng Tai Hong , Huang Ke , Li Bi
Published: February 2014

In the sensor system, the wave in the optical fibers conductivity will change when the surrounding medium is changed. Thus, minor changes according to the mechanical wave, optical fiber can be used to monitor changes in the surrounding environment. The working principle of the sensor system is the signal generator output signal transmitted to a piezoelectric ceramic. Because of the inverse piezoelectric effect of piezoelectric ceramics, conduction of the electrical signals can be converted to mechanical signals. The resulting mechanical wave transmitted to the other end of the piezoelectric ceramic by the optical fiber, and converted to an electrical signal. The proposed system consists of signal generator, a piezoelectric ceramic, fiber optics, oscilloscope. For investigation the performance of the sensor system the external point loading was applied. Results show that the sensor system can be successfully applied to the sensing the force value.
Study on Transient Temperature Generator and Dynamic Compensation Technology
Authors: Yang Zhao Xin , Meng Xiao Feng
Published: February 2014

According to the problem of dynamic calibration of the thermocouple, especially impossible to evaluate the rise time and to unify the calibration method, a new method of thermocouple calibration is proposed. Based on the method rise time of the input signal of thermocouple and step amplitude could evaluate accurately. The practical process of calibration shows that the method is effective.
Sensor Fault Diagnosis Based on SOFM Neural Network
Authors: Ding Shuo , Chang Xiao Heng , Wu Qing Hui
Published: February 2014

Traditional sensor fault diagnosis is mainly based on statistical classification methods. The discriminant functions in these methods are extremely complex, and typical samples of reference modes are not easy to get, therefore it is difficult to meet the actual requirements of a project. In view of the deficiencies of conventional sensor fault diagnosis technologies, a fault diagnosis method based on self-organizing feature map (SOFM) neural network is presented in this paper. And it is applied to the fault diagnosis of pipeline flow sensor in a dynamic system. The simulation results show that the fault diagnosis method based on SOFM neural network has a fast speed, high accuracy and strong generalization ability, which verifies the practicality and effectiveness of the proposed method.
A New Method for Calculating the Volume of Debris Flow Using GIS and RS Technology
Authors: Du Wen Ju , Xie Bing , Xu Hui Xi
Published: February 2014

In this paper, two digital elevation models of debris flow in Yingxiu mountain area are generated; one is from contour lines with manual interpretation before earthquake and the other is from high resolution aerial photos using MapMatrix software. By analyzing three random points which are not in the same edge, a new formula for calculating the volume from these three points to their projection on the datum plane is derived. Then, the volumes of the two DEMs before and after earthquake can be calculated, and the volume of the total debris flow is the difference of those two.