bluuebunny/crossref_metadata_2025 huggingface dataset:
Internet of Things for Medication Control
Authors: Laranjo Isabel , Macedo Joaquim , Santos Alexandre
Published: December 2013

The use of Radio Frequency IDentification technology (RFID) in the medical context enables drug identification but also a rapid and, of course, precise identification of patients, physicians, nurses or any other health caregiver. Combining RFID tag identification with structured and secure Internet of Things (IoT) solutions, one can establish a ubiquitous and quick access to any type of medical related records, as long as one can control and adequately secure all the Internet mediated interactions. This paper presents an e-Health service architecture, along with the corresponding Internet of Things prototype implementation that makes use of RFID tags and Electronic Product Codes (EPC) standards, in order to easily establish in a ubiquitous manner a medication control system. The system, presented and tested, has a web interface and allowed for a first evaluation of the e-health proposed service. As the service is mainly focused on elderly Ambient Assisted Living (AAL) solutions, all these technologies - RFID, EPC, Object Naming Service (ONS) and IoT – have been integrated into a suitable system, able to promote better patient/physician, patient/nurse and, generally, any patient/health caregiver, interactions. The whole prototype service, entitled “RFID-based IoT for Medication Control”, and its web interface are presented and evaluated.
Clinical Practice Guidelines Formalization for Personalized Medicine
Authors: Douali Nassim , Jaulent Marie-Christine
Published: December 2013

Clinical guidelines are important means to improve quality of health care while limiting cost and supporting the medical staff. They are written as free text with tables and figures. Transforming them into a formal, computer-processable representation is a difficult task requiring both computer scientist skills and medical knowledge. In this paper the authors describe a CDSS designed to assist physicians for personalized care, and methodology for integration in the clinical workflow. A reasoning method for interacting heterogeneous knowledge and data is a necessity in the context of personalized medicine to achieve its potential and improve the quality, safety and efficiency of healthcare.
The (Re-)Socialization of Technical Objects in Patient Networks
Authors: Spöhrer Markus
Published: December 2013

In this paper an effort is made to describe the processes of technical stabilization of the epistemic thing cochlear implant in certain stabilized scientific environments and the way in which such stabilizations are fortified, discoursified and medially produced. Such technical stabilizations can only be accomplished by rigorously excluding attributes of the social. However, the cochlear implant is born out of the need to enable participation in “normal” social life and is thus a thoroughly social actor attributed with certain social attachments. With the translation into patient networks, the technical object cochlear implant is re-inscribed with attributes of the social and is thus subject to destabilization, remediatization and re-socialization again. Being transferred from the stabilized context of biological and medical science, the discourses of the cochlear implant are accumulated with elements of ethical or judicial discourses in which social issues are in the foreground. This will be illustrated by analyzing certain scientific viscourses and images which are used as illustrations for the successful communication between implanted children and their parents in practical guides for parents with deaf children.
Optimization of Energy Heterogeneous Cluster-Head Selection in Farmland WSN
Authors: Miao Yi Sheng , Yuan Ling , Wu Hua Rui , Li Qing Xue
Published: December 2013

Power consumption is a key point of WSN (Wireless Sensor Network) lifespan. Because of difference among monitoring objects and complex signal channel condition, the power consumption of each node in farmland WSN is uneven, which makes the network performing as multi-level energy heterogeneous. LEACH and its improving algorithms average the power consumption between nodes by clustering and cluster-head switching. But the cluster-head voting brings a lot extra power consumption. To solve this problem, this paper proposes EACHS (Energy Approximation Cluster-Head Selection), an optimized cluster-head selection mechanism that approximates the energy of cluster-head targeting the lowest energy level in the network. When approaching the target, the current cluster-head collects the energy status of all nodes and determines which one becoming the new cluster-head. The simulation results show that, EACHS can balance the network power consumption and reduce most protocol cost, prolong the overall network lifespan.
On the Study of Half-Duplex Two-Way Relaying Based on Network Coding
Authors: Fan Jin Hong
Published: December 2013

A novel scheme based on detection is proposed for half-duplex two-way relay system in this paper. Multi-input multi-output and network coding technique are applied in the relay. The proposed method employs detection in this system when the relay and two stations receive signal. Theoretical and simulative analyses of the protocol performance under the assumption of a binary symmetric relay channel model are carried out. The zero-forcing detection and maximum likelihood detection are respectively used. The simulation results show that the new scheme facilitates more reliable transmission and higher information transmission rate.
Research on Compression Storage of Massive Agricultural Data Based on Cloud Environment
Authors: Gao Rong Hua , Wu Hua Rui
Published: December 2013

With the development of information technology, agriculture data show large amount of data, distributed, heterogeneous characteristics. It is difficult to access and management with the massive data are continuously increasing which affect the large-scale use of agricultural information data. In this paper, the method of compression algorithm is proposed which based on real-time and time space correlation characteristics. All data is divided into several categories by Huffman compression algorithm combines parallel processing cloud platform. Then, the massive agricultural data is compressed and reducing the data storage. Exprienment result show that cloud storage platform with dynamic scalability. Under the same experimental data, the method of this paper has higher compress ratio, and compression consuming less when a larger amount data, compared with the Huffman compress and dictionary-based data compression algorithm.
Design and Implementation of a MCU Based Electronic Piano Performance System
Authors: Cao Ai Min , Pang Long , Li Zhuo Jia , Miao Fang
Published: December 2013

In this paper, an electronic piano performance system is given. Within the system, a traditional piano keyboard is retained, and a micro-controller unit (MCU) C8051F340 is applied to scan the key value, velocity of the keyboard and send the scanned data to principal computer (PC) via universal serial bus (USB) interface. In addition, application software for PC has been developed to simulate the sound function of a traditional piano, which can identify multiple key values and distinguish between light and heavy sound simultaneously. Finally the design results have proved the validity and utility of our performance system by virtue of lower cost and more accurate and adjustable tones.
The Research on the Internet of Things Industry Chain for Barriers and Solutions
Authors: Fan Peng Fei , Wang Lin Lin , Zhang Shi Ying , Lin Ting Ting
Published: December 2013

This paper takes the industry chain correlated theories as the instruction, and takes qualitative analysis primarily with quantitative analysis as auxiliary, and it mainly conducts the research from the following three aspects to the Internet of things industry: the composition of the industry chain of the Internet of things, obstacles existed in the industry chain of the Internet of things, and the method to remove barriers existed in the industry chain of the Internet of things. By the above analysis, this paper makes a more completely detailed study on the industry chain of the Internet of things and then makes some recommendations for the development of industry chain and the entire industry of the Internet of things.
Study on Simulation Cloud Computing of Power System
Authors: Zhu Quan Sheng , Liu Wei , Gao Kun
Published: December 2013

Cloud computing technology is an innovative IT application mode, which integrates computing, storage, network, information services infrastructure, operating system, application platform, WEB services and software resources. By using cloud computing technology, users can use many different services though the internet. This technology is the result of a variety of technologies evolution and integration, including distributed computing, grid computing, utility computing, visualization's technology, and SOA, etc. This paper introduces cloud computing principles and analyzes the necessity, key points and difficulties of the simulation cloud computing project of power system.
The Study of the Apple Juice Evaporation Characteristics on a Heat Pipe Evaporator
Authors: Song Ji Tian , Liu Jian Bo , Zhao Zheng , Xu Xiao Fei , Wang Shen Yu
Published: December 2013

In this paper, the apple juice was used as the experimental medium, the main factors, such as the evaporating temperature, feed rate, temperature difference of the heat transfer and concentration, were analyzed, the heat transfer of the juice was studied on a heat pipe evaporator, a dynamic model of the apple juice during the constant volume heat process was built up, the heat transfer during evaporation, affected the heat transfer properity in evaporating process were investigated, the experimental relating formula was obtained finally. The above informations could provide some help to design new evaporators and optimize the fruit juice concentrating parameters.
A New Method for Determining Pulverized Coal Economic Fineness
Authors: Huang Xiao Bin , Zhang Pei Chao , Liang Long Fei
Published: December 2013

Coal blending technology is commonly used in coal-fired thermal power plant in recent years to ease cost pressures. But thermal power plants still use empirical formula to determine the economic fineness of pulverized coal. This approach cannot change economic fineness of pulverized coal based on the proportion of blending coal timely and accurately, resulting in increasing carbon content of fly-ash and reduced combustion efficiency of boiler. In this paper, a new method for determining pulverized coal economic fineness is proposed. Dry ash-free basis volatile, coal uniformity index, ignition temperature, proportion of blending coal are considered as parameters. According to the relationship between these parameters, the best coal fineness can be obtained in real-time. Influences of coal blending technology are reduced greatly and the accuracy of the economic fineness is improved.
An Estimation of Distribution Algorithm for Energy-Aware Steelmaking Continuous Casting Scheduling
Authors: Wang Gui Rong , Li Qi Qiang , Yuan Mao Rong
Published: December 2013

This paper addresses the Steelmaking Continuous Casting production scheduling problem (SCC) with power consumption as the main objective. An encoding and decoding scheme is proposed and an effective Estimation of Distribution Algorithm (EDA) is presented to solve it. Simulation experiments indicate that EDA can solve the SCC problem efficiently and has fast speed of convergency.
A Versatile Signal Generator Based on ARM for GPS Jamming
Authors: Xu Jian , Gan Ze Ming , Shi Xiong
Published: December 2013

This paper proposed a versatile signal generator which employed an ARM CortexTM-M3 Core as the CPU, a direct digital synthesizer (DDS) chip and a mixer to make the phase modulated signal for GPS jamming. And due to the two parts of the generator, it could be used for intermediate frequency generating and the microwave frequency generating respectively as other two types of generators. With the system, a narrow-band jamming was demonstrated by spectrum and oscilloscope tests for the signals. And the infield test showed the effective range of the jamming was about 200 meters.
Design and Simulation of a 5.8GHz Low Noise Amplifier Used in RFID
Authors: Zhang Yu , Yang Shu Hui , Chen Yin Chao
Published: December 2013

A 5.8GHz single-stage low noise amplifier (LNA) for radio frequency identification devices (RFID) applications was proposed according to the theory of LNA. It has been realized by ATF-541M4 transistor and its peripheral circuit, such as bias circuit, input and output matching network. The proposed LNA provides a gain of 12.696dB from the analysis of ADS. The LNA achieves 0.951dB noise figure (NF) at the frequency of 5.8GHz. The simulation results show that this LNA has good noise characteristic, the NF is less than other published paper.
8-Way Substrate Integrated Waveguide Power Divider
Authors: Li Wei , Wang Li Qing , Chen Li Jia , Liu Xiao Wei
Published: December 2013

In this Paper, a 8-way Microwave Equal Power Divider with Substrate Integrated Waveguide Technology is Proposed and Designed . the Substrate Integrated Waveguide Power Divider with Metal pin Inductance is Investigated and Simulated. the Center Frequency is 9.5GHz, and the Operating Frequency Band is more than 1GHz. the Maximal Insert Loss is Less than 1dB from 9GHz to 10GHz. the Impedance of each Ports is 50Ω.
The Wear Mechanisms of Diamond Impregnated Bit Matrix
Authors: Li Shi Bin , Xiang Qi , Zhang Li Gang
Published: December 2013

The diamond impregnated bit matrix should not only wrap the diamond up firmly; also constantly wear in the drilling process to ensure that the diamond can be made exposure constantly. The wear of diamond impregnated bit matrix is the key to affect the exposure of diamond blade.In this paper, based on the tribology, the wear mechanism of drill bits matrix is analysed from the microscopic view.Then,the relationship between matrix hardness and abrasion resistance can be obtained.
A Novel Triple-Band Monopole Antenna for WLAN/WiMAX/RFID Applications
Authors: Pan Yong , Hou Zi Ye , Xiong Jiang , Liu Kai Hua
Published: December 2013

A miniaturized multi-frequency antenna is proposed. The proposed antenna can generate three separate impedance bandwidths to cover all the 2.4/5.8 GHz WLAN/RFID operating bands and the 2.5/3.5/5.5 GHz WiMAX bands. The proposed microstrip-fed antenna mainly consists of a circular ring, four semicircular rings, a rectangle strip, and a defected ground plane. By adding four semicircular rings in the circular ring, the antenna excites two resonant modes and is with miniaturization structure. Because of the introduction of the cambered ground plane with an circular-defect, the third wide band with better impedance matching is obtained. A prototype is experimentally tested, and the measured results show good radiation patterns and enough gains across the operation bands.
Research on Plasma Monopole Antenna and its Wideband Design
Authors: Li Wei , Suo Ying , Qiu Jing Hui , Liu Xiao Wei
Published: December 2013

A kind of wideband plasma monopole antenna is proposed, such as circular plasma monopole antenna based on circular monopole theory. The impedance and radiation characteristics of this antenna are simulated. The results show that the band width with return loss below-10dB of the circular plasma monopole antenna can get 123%.
Research on Ultra-Wideband TEM Horn Antenna and its Miniaturization
Authors: Suo Ying , Li Wei , Wang Li Qing , Wu Qun
Published: December 2013

TEM horn antenna is one kind of directional Ultra-wideband antenna with simple structure. Based on the design method of TEM horn antenna, satisfied impedance and radiation character are obtained by simulation and experiment research. On this basis, by means of metal ridged loaded, background dielectric material loaded and distributed lossy metal loaded respectively, the miniaturization character is realized. The simulation analysis results show that load of traditional TEM horn antenna can get efficiently improvement in structure and performance which have widely application foreground in pulse radiation communication system and ultra-wideband radar system.
A Variable Multiple-Output DC-DC Buck Converter with Time-Multiplexing
Authors: Weng Jun Hong
Published: December 2013

This paper presents a variable current-controlled single-inductor dual-output DC-DC buck converter depending on difference loading currents in standard 0.18-μm CMOS n-well process. We intend for compensate system and according each loading current to make suitable dual cycle. Two outputs are specified at 1.8V and 1.2V operated at 800 KHz, the power conversion efficiency reaches 82%. The chip occupies 1.73 × 1.1 mm2.
Study of the Interfacial Reaction between the Sn-3.5Ag Solder and Electroless Ni-P Metallization
Authors: Yang Guang Yu
Published: December 2013

This work summarizes the interfacial reaction between lead-free solder Sn-3.5Ag and electrolessly plated Ni-P metallization in terms of morphology and growth kinetics of the intermetallic compounds (IMC). Comparison with pure Ni metallization is made in order to clarify the role of P in the solder reaction. During reflow, the IMCs formed with the Ni-P under-bump metallization (UBM) exist in chunky crystal blocks and small crystal agglomerates, while the ones with the sputtered Ni UBM exhibit uniformly scallop grains with faceted surfaces. The IMC thickness increases with reflow time following approximately a t^sup 1/3^ power law for both systems. The IMC growth rate is higher with the Ni-P UBM than the Ni UBM. The thickness of the Ni^sub 3^Sn^sub 4^ layer increases linearly with the square root of thermal aging time, indicating that the growth of the IMCs is a diffusion-controlled process. The activation energy for Ni^sub 3^Sn^sub 4^ growth in solid-state reaction is found to be 110 kJ/mol and 91 kJ/mol for the Ni-P and sputtered Ni UBMs, respectively. Kirkendall voids are detected inside the Ni^sub 3^P layer in the Sn-3.5AgTNi-P system. No such voids are found in the Sn-3.5AgTNi system.
The Influence of Cutting Parameters on Pump Thin-Walled Parts Cutting Force
Authors: Zhang Tao Ran , Zhou Li Ping , Duan Dan Dan
Published: December 2013

Key parts of pump produces belong to the thin-walled parts.And cutting parameters have a direct influence on the processing accuracy of impeller. To solve this problem, it is necessary to found the simulation model of tool and workpiece based on advanced metal cutting simulation software named Advant Edge FEM. And stress load should be loaded, using single factor analysis method to study the law of influence and its causes of the milling cutting parameters on pump thin-walled parts cutting force. And the gotten results can provide reference for the design and manufacture of pump thin-walled parts.
Economic Dispatch for Power Generation System Incorporating Wind and Photovoltaic Power
Authors: Meng Jie , Li Geng  Yin , Cheng Shi Jun
Published: December 2013

With the higher penetrations of wind and photovoltaic power in system, the randomness of its outputs adds amounts of uncertainty to system generation planning and scheduling. This paper formulates a day-ahead power economic dispatch model based on the uncertainty information of wind and photovoltaic power prediction obtained by prediction interval of power with a certain probability. The costs of spinning reserve and interruptible load regarded as spinning reserve are also taken into consideration. The proposed model is solved by Cplex. Finally, the simulation example of system composed of 10-units proves the validity of the model.
Research of MPPT Using Support Vector Machine for PV System
Authors: Sun De Da , Zhang Da Hai , Liu Yang
Published: December 2013

Photovoltaic (PV) power systems are widely used today, so its useful to study how to make the PV maximum power output. In this paper a novel approach based on Support Vector Machine (SVM) for maximum power point tracking (MPPT) of PV systems is presented. The output power characteristics of PV cells vary with solar irradiation and temperature, so the controllers inputs is the level of solar radiation and ambient temperature of the PV module, and the voltage at maximum power point (MPP) is the output. Results show that the proposed MPPT controller based on SVM is sensitive to environmental changes and has high efficiency and less Mean Square Error (MSE).
Research on Filter of Photovoltaic Grid-Connected System
Authors: Zhao Hui , Liang Zhuo , Wang Hong Jun , Yue You Jun
Published: December 2013

The paper mainly studies the filters used in grid-connected photovoltaic systems. The parameters of the current ripple are deduced by analyzing the generating mechanism of the ripples in grid-connected PV inverters, and then the filter is designed according to the system needs. A T-type filter is identified and its superiority and correctness are verified by simulation.
The Calculation of Line Fault Probability in Ice Storm
Authors: Feng Wei Ming , Zhou Su Quan , Xu Tai Shan , Liu Qiang , Yu Ji Lai
Published: December 2013

In this paper a line fault probability calculation method by the combined effects of icing and wind is developed. Considering the force effect of icing and wind on the transmission lines, an icing-wind load is presented. It can be used to calculated the real-time or predict line fault probability using the characteristic exponential model reflecting metal resisting capacity. The example using historical meteorological data and simulating grid is given and the results show that, icing-wind load presented in this paper makes the calculate result of failure probability more serious. The line fault probability is helpful for the further grid security control.
A Technique of NC Machine Tool Remote Monitoring Based on Internet
Authors: Zhuang Dian Zheng , Zhu Yu Hua
Published: December 2013

This article introduced the developmental status about networking of NC, discussed Internet-based project of network technique and topology structure, that used communicate controller to connect common NC machine tools to Internet and monitor long-distance；gave out the method to realize communicate controller that used MCU and RTL8019AS Ethernet controller chip.
Development of a High Precision Time-Difference Ultrasonic Heat Meter Based on TDC-GP21
Authors: Wu Ye Lan , Zhao Jin , Huang Ya Nan , Wang Fang
Published: December 2013

The paper introduces a high precision ultrasonic heat meter design based on time-difference method. It analyzes and researches the measure theory of time-difference ultrasonic heat meter, and presents a piecewise interpolation method to calculate the flow. With the low-power chip as the microcontroller, the system adopts high-precision time measurement chip TDC-GP21 for flow measurement as well as the temperature measurement. Compared with traditional heat meter, it is of low power consumption and high measurement precision, and the tests show that the results meet the heat meter industry standard second order accuracy.
The Indirect Monitoring Method of Oxygen in Heating Furnace Sampling Switch Process
Authors: Chen Zai Ping , Liu Feng , Sun Quan Sheng
Published: December 2013

In view of the process of sampling switch judgment problem of alternating sampling two furnaces oxygen content with an oxygen analyzer, this paper provides an indirect method to monitor oxygen content of furnace sampling switch process based on the time and data. The experimental results show that the method can solve the end decision problem in the process of sampling switch very well. At present, the method has been applied to concrete in practical engineering, having a good effect.
Research of Computer Virus Detection Technology Based on the Virtualization Platform
Authors: Li Qi Lin , Zhao Zong Qu , Wang Jun Feng
Published: December 2013

The characteristics of computer virus runtime behavior can be found by dynamic monitoring technology which deals with the obfuscated or packed computer virus. Virtual technology can provides safety monitoring environment for software, therefore the especially virtual environment is scarce to design for virus monitoring analysis. In this paper, a virtual computer virus monitoring is introduced based on the secondary development of Xen. The scheme can provide a more comprehensive and security computer virus monitoring on the basis of the virtual hardware.
Measurement and Analysis of the Polarization Curves of Laser Cladding Layer or Cold Welding Layer on FV520B
Authors: Li Shuo , Li Fang Yi , Gong Bao Long , Hao Qing Dong
Published: December 2013

The polarization curves of repairing layer of cold welding and iron-based material were measured by linear sweep voltammetry technology (LSV) in perchlorate or chromate solution, meanwhile, the range of maintaining passivity potential and current was obtained according to the polarization curves. The results showed that the passivation of cold welding and cladding iron-based material was becoming obvious with the increasing perchlorate or chromate concentration. Laser cladding iron-based material had better property of passivation than the cold welding material, while its corrosion property was inferior to the cold welding.
Monitoring on Temperature Strain and Numerical Simulation of Mass Concrete
Authors: Han Wen , Liu Jing Hong , Zhang Shao Xian
Published: December 2013

Combining the site relocation project of New Era Cement Co. Ltd, the early temperature and strain monitoring and numerical simulation are done on the cement vertical mills mass concrete equipment foundation sizing 15.6m×15.6m×5m, thus, the early trends and rules of mass concrete about temperature and strain are analyzed. Prevent temperature cracks due to temperature strain in mass concrete, therefore, ensure the construction quality of mass concrete.
Corrosion Rate and Mechanical Properties of 316L Stainless Steel Wires in Different Corrosive Conditions
Authors: Ji Jian Bo , Tong Jian
Published: December 2013

The effects of different concentrations of the mixed solution, different test temperature conditions for corrosion rate of 316L stainless steel wires by using the weight loss method, discussion on fracture strength of 316L stainless steel wires changes after corrosion. The results showed that the higher the concentrations of the mixed solution, test temperature, the larger corrosion rate of 316L stainless steel wires, the smaller fracture strength of 316L stainless steel wires. During the test, the surface of 316L stainless steel wires occurred passivation. Though Cl- of the mixed solution didnt take direct part in the reaction, it prompted passive film rupture, accelerated the corrosion rate of 316L stainless steel wires. Meanwhile, the stress-strain curve of 316L stainless steel wires after corrosion no obvious yield phenomenon, showing the form of brittle fracture. And test temperature factors on the corrosion rate of 316L stainless steel wires and mechanical properties of the most obvious effect.
Numerical Simulation about Stretching Process in Different Layers of Cartilage
Authors: Li Xue , Ye Jin Duo , Zhang Chun Qui , Tian Qian Qian , Wang Xian Kang , Dong Li Min
Published: December 2013

Cartilage with complex structure is a porous viscoelastic material. The direction of arrangement of collagen fibers in different layer regions directly affects the mechanical properties of the cartilage layer region. It is very important to use the method of numerical simulation for studying cartilage damage and repair through experimental measurements of cartilage mechanical parameters of the different layers. Because of the relatively small size of the cartilage, it is very difficult to measure mechanical parameters of cartilages by tensile test. The paper for main problems in the tensile test of cartilages, first by porcine articular cartilage compression testing, measuring the displacement of cartilage areas of different layers, according to the characteristics of the displacement determines the size of areas of different layers of cartilage, and then designed the cartilage and substrate stretching models. Model includes two forms of direct bonding and embedding bonding to simulate stretching process of different layers of the cartilage area in numerical way, displacement fields and stress-strain fields of stretching cartilage in different layer regions are derived. The numerical results show that using the way of embedded bonding can make stress of articular well-distributed without stress concentration, so it is a good way of bonding methods. Paper of the research work laid the foundation for measuring mechanical parameters of cartilage by stretch experiment.
Design of a Rack and Pinion Drilling Rig Similar Prototype
Authors: Ren F.S. , Chen S.L. , Wang N.B.
Published: December 2013

Rack and pinion drilling rig is a more advanced rigs, which canceled winch, wire rope and hook in the traditional rig, Down movement of the top drive through the mutual engagement of the gear with the rack. Dynamic characteristic of similar model prototype was established based on the similarity theory and design methods were researched. Similar model prototype with complete control and detection system was developed while maintaining main structure and functions of the drilling rig the same premise. Through the simulation platform, the drilling operation was simulated, and provides a theoretical basis and experimental data for the future development of rack and pinion drilling rig.
Iang Structural Design of Hydraulic Manipulator in Nuclear Radiation Environment
Authors: Liu Yong Xia , Zou Shu Liang , He Zhi Feng , Yan Liang
Published: December 2013

By using modeling and simulation technology, motion simulation and structural analysis were carried out on hydraulic manipulators structure working in the radiation environment. The results of motion simulation can test the manipulators kinematics characteristic, and provide a basis for structural optimization design.Structural analysis could be used to validate manipulators s tructure is able to withstand the movement of stress, strain or not. Manipulators structure design can be properly improved by use of the structural analysis.
Virtual Prototyping Analysis on Gear Assembly of the Power Train for a Large-Scale Combine Harvester
Authors: Zhu Zhong Xiang , Li Zhen , Xie Bin , Mao En Rong
Published: December 2013

Stabilization of the operating speed is a vital factor that affects a combine harvester's productivity. In this paper, the pretreatment of CAD models is set for precise simulation. Using CAE tools, the research concentrates on the static and kinematic characters of the gear assembly in the power train. Ultimately, the comparisons of the simulation results with the theoretical ones are conducted. The results indicate that the designed gear assembly can remain the operating speed stable and reliable under the assumed condition.
Study of Commercial Vehicle Active Seat Suspension
Authors: Pan Gong Yu , Yang Hai , Liu Yong Tian
Published: December 2013

A 7-DOF half-car dynamic model which includes the cab mounting system and seat suspension system was established to study the performance of active seat suspension. The optimal control method was applied to design the active control system. Two dynamic simulation models of the passive seat suspension and the active seat suspension were set up by Matlab/Simulink, and the performance of the passive and active seat system was simulated in the time and frequency domain. The simulation results show that the active seat suspension can greatly improve the vehicle seat performance and the study has supplied the academic reference in the applications of the active seat suspension.
Efficient Indexing RDF Query Algorithm for Big Data
Authors: Zeng Yi Qun , Wang Jing Bin
Published: December 2013

With the rapid development of information technology, data grows explosionly, how to deal with the large scale data become more and more important. Based on the characteristics of RDF data, we propose to compress RDF data. We construct an index structure called PAR-Tree Index, then base on the MapReduce parallel computing framework and the PAR-Tree Index to execute the query. Experimental results show that the algorithm can improve the efficiency of large data query.
Non-Fragile Mixed H2/H∞ Full-Order Filter for a Class of Linear Discrete-Time Systems with Filter Parameters Uncertainty
Authors: Lin Rui Quan , Ma Qiao Li , Zhang Yu
Published: December 2013

The problem of how to design a non-fragile mixedH2/Hfull-order filter for a class of linear discrete-time system is discussed in this paper. The designed mixedH2/Hfull-order filter parameters are assumed to be of additive norm-bounded variations. Sufficient conditions for the existence of the non-fragile mixedH2/Hfull-order filter are given in linear matrix inequality (LMI) forms. A numerical example is then proposed to illustrate the necessity of considering the parameter variations of the full-order filter through the analysis of the poles of the filter error dynamic system. The results show that when the parameters of the designed non-fragile mixedH2/Hfull-order filter are of variations, the poles of the filter error dynamic system are inside the unit circle, the filter error dynamic system is still stable. On the other hand, if the parameter variations of the full-order filter are not considered when the mixedH2/Hfull-order filter is designed, the poles of the filter error dynamic system are outside the unit circle, the filter error dynamic system is unstable when the parameters of the designed mixedH2/Hfull-order filter are of variations.
Color and Texture Features Based Image Retrieval
Authors: Lin Ching I , Su Ching Hung , Tai Shih Hung
Published: December 2013

We propose a practical image retrieval scheme to retrieve images efficiently. We propose a scheme using color and texture features and address the unique algorithm to extract the color pixel features by the HSV color space and Tamura features of the texture features. The proposed scheme transfers each image to a quantized color code using the regulations of the properties in compliance with HSV color space model and then employing the quantized color code along with Tamura features of texture features to compare the images of database. Experimental of the proposed scheme on demonstrate more efficient and effective than the conventional schemes.
A Study on Approximation Performances of General Regression Neural Network
Authors: Ding Shuo , Chang Xiao Heng , Wu Qing Hui
Published: December 2013

In order to study the approximation performance of general regression neural networks, the structure and algorithm of general regression neural networks are first introduced. Then general regression neural networks and back propagation neural networks improved by Levenberg-Marquardt algorithm are established through programming using MATLAB language. A certain nonlinear function is taken as an example to be approximated by the two kinds of neural networks. The simulation results indicate that compared with back propagation neural networks, general regression neural networks has better approximation precision and faster convergence speed, which means it has much better approximation ability than back propagation neural networks. Therefore, for more complex function approximation, general regression neural networks is recommended. It can reduce the complexity of neural networks and it is also easier to design.
Design Method of Beam Forming Using Genetic Algorithm
Authors: Gan Tian , Wang Ying Min
Published: December 2013

For the high side-lobe defeats of conventional beam applied to actual sensor array, a new method of beam forming based on genetic algorithm is proposed. The genetic algorithm optimization toolbox will be used to solve the problem of beam forming. The problem of beam forming will be formed into genetic algorithm function expressions which can get the desired array weights. Computer simulation results show that the design of beam meet our requirements. Tank experiment data simulation results fully demonstrate the feasibility and effectiveness of the method.
Application of Probabilistic Neural Network in Pattern Classification
Authors: Ding Shuo , Chang Xiao Heng , Wu Qing Hui
Published: December 2013

The network model of probabilistic neural network and its method of pattern classification and discrimination are first introduced in this paper. Then probabilistic neural network and three usually used back propagation neural networks are established through MATLAB7.0. The pattern classification of dots on a two-dimensional plane is taken as an example. Probabilistic neural network and improved back propagation neural networks are used to classify these dots respectively. Their classification results are compared with each other. The simulation results show that compared with back propagation neural networks, probabilistic neural network has simpler learning rules, faster training speed and it needs fewer training samples; the pattern classification method based on probabilistic neural network is very effective, and it is superior to the one based on back propagation neural networks in classifying speed, accuracy as well as generalization ability.
Improving Forecasting Performance of Back Propagation to Wind Speed by Square Root Transformation
Authors: Gao Ya Jun , Gao Qiao Mei
Published: December 2013

In order to improve the forecast accuracy and reliability of wind speed with strong randomness, this paper suggests a method. First, apply square root transformation to the wind speed time series, which is different from familiar normalization. Second, BP neural network is employed to forecast the future wind speed time series. Finally, invert the forecasted time series by the inverse square root transformation. The experiment result shows the effectiveness of the proposed method.
Flotation Reagent Progress and Application Overview
Authors: Yan Sen , Zhang Jing Qi , Diao Wei Zhi
Published: December 2013

Selection and use of Flotation reagent is one of the most important aspects to improve flotation effect. Because of different perspectives, Flotation reagent has different classification methods. According to agents in the flotation of use and combine attributes and dissociative nature into collecting agent, foaming agent, modifier three categories, the paper from the three aspects outlined flotation reagent developments and applications.
A Combined Neural Network and Genetic Algorithm Optimization of Operational Parameter in Nitric Acid Process
Authors: Zhu Yu Hua , Zhuang Dian Zheng , Li Ping , Tong Wei Yan
Published: December 2013

It will be face some problems about the complicated reaction mechanism, environment uncertainty, serious nonlinear in nitric acid process .a method of creating steady-state model of nitric acid process using neural network. and used genetic algorithm to optimize parameter on neural network model. The result can provide reference for analyzing and optimizing the parameters of nitric acid process.
Design of Automatic Spot Welding Control System about the Vehicle Compartment Side Plate Based on PLC
Authors: Han Yi Lun , Wang Jing , Zhang Zong Bing , Zhang Ming
Published: December 2013

In order to improve the welding efficiency of vehicle compartment side plate, the stability of welding parameter and control accuracy, the thesis applies advanced intelligent control theory (fuzzy and PID compound control) and multi-sensor fusion technology and combines with the automatic spot welding process, using the Mitsubishi FX2N-80MT-001 programmable controller and GT1155-QSBD-C touch screen, achieved the automatic spot welding control of the vehicle compartment side plate. Experimental results show that the system’s response speed, control accuracy and stability can meet the requirements of production.
Controlling Software Design of 2D Scanning Mirror in Infrared Detecting and Tracking System
Authors: Liu Xiang Yan , Dai Xiao Bing , He Xu Dong
Published: December 2013

Firstly, this paper introduced infrared detecting and tracking system (IR D&T System) and several commonly used scanning solutions in IR D&T System briefly. Secondly, it analyzed how 2D scanning mirror works and PID (Proportion, Integration and Differentiation) algorithm. Thirdly, it introduced commands format and controlling method of the 2D scanning mirror used in image-spectrum integrated instrument developed by our group. And then it designed controlling software of the 2D scanning mirror using its secondary development package (SDK) and VC++. The software communicates with 2D scanning mirror through serial port. The MSCOMM serial communication control is used in communication software design. The controlling software is integrated to software of image-spectrum integrated instrument successfully and experiment results verified the correctness of controlling algorithm and engineering usability of the software.
The Research and Application of Automatic Fare Collection System in Tianjin Metro
Authors: Yu Hang
Published: December 2013

Some researches on the key technologies of automatic fare collection (AFC) system in the rail transit are conducted systematically in this article. Besides, the studies on the station device application conditions of AFC system and the functional analysis of the ticket machine, the gate and the station computer system in Tianjin Metro are taken in detail.
The Simulation Study of Fuzzy PID-Smith Controller of Indoor Temperature Control System
Authors: Zhang Su Ying , Shi Wen Pan , Zhang Jing Jin , Xu Shao Jie , Li Bing Hao
Published: December 2013

Indoor temperature model is one of the large time-delay controlled object, and the response performance of system get worse. In consideration of the Fuzzy PID controllers strong robustness, this article adopts a Fuzzy PID-Smith control method ,and the control effect proves to be good.
Research on Timing Synchronization Method for DC-Biased Optical OFDM Communication System
Authors: Wang Yong , Jing Yan Ling
Published: December 2013

The timing synchronization methods for dc-biased optical OFDM system are different from wireless OFDM system because dc-biased optical OFDM system use intensity modulation/direct detection. Existing synchronization methods cant be used directly in dc-biased optical OFDM system. Therefore, the new timing synchronization method for dc-biased optical OFDM system is presented. The simulation results show that this timing synchronization method increasingly improves the estimated accuracy of dc-biased optical OFDM system.
Gradual Compressive Spectrum Sensing for Wideband Cognitive Radio Network
Authors: Xu Bin Bin
Published: December 2013

In this paper, a Gradual Compressive spectrum sensing method is presented for collaborated users in wideband cognitive radio (CR) network. By taking the advantage of compressive sensing (CS), we can reconstructs the wideband spectrum using sub-Nyquist samples. Furthermore, we employ gradual signal acquisition and recovery that can terminate the process once the result of spectral recovery converge. This proposed method is flexible for different wideband signal sparsity and signal to noise ratio, leading to enhanced network throughput. Simulations testify the effectiveness of the proposed method in CR networks.
Absolute Value Encoder Communication Interface Design Based on SSI Protocol
Authors: Chen Zai Ping , Chen Zhi Tong
Published: December 2013

In terms of absolute value encoder applications, SSI communication protocol, as an earlier implementation of communication protocol, has been widely used recently. Many companies, including both domestic and overseas, have introduced encoder communication interfaces with the SSI absolute value. In this paper, based on the features of SSI protocol communication, we propose a low cost of SSI protocol communication interface design scheme for the absolute value encoder whose output is asynchronous or parallel. The experiment shows that this kind of communication interface is stable, reliable and makes the absolute value encoder with asynchronous serial or parallel output interface meet the SSI protocol specification of communication function.
Passive Distributed Clustering Scheme in Wireless Sensor Networks
Authors: Gao Hui
Published: December 2013

Energy efficiency is especially important for the cluster of the wireless sensor network (WSN). This paper studies how to increase availability and survivability of WSN by selecting a suitable cluster head. For this purpose, we propose a passive distributed clustering scheme (PDCS), to promote the efficiency of energy utilization. In PDCS, both the relative distance and the residual energy are taken into consideration for cluster head selection. Simulation results present that PDCS has better performance than the well-known LEACH scheme.
A Mobile Collaboration Resource Framework Based on Multiple Resource Semantic Granule
Authors: Wang Wei Hong , Hao Yan Mei , Cao Yu Hui
Published: December 2013

Aiming at the issue of resource integration in mobile collaboration environment, a novel method named MCRF-MRSG, which is the resource integration method for mobile collaboration environment based on resource semantic and information granularity, was proposed. Firstly, the information of researches relevant was given such as resource description language, resource description framework and so on. Then, the notation of resource semantic granularity was proposed and the construction of MCRF-MRSG model was described based on resource semantic. After that, the static and dynamic characteristics of the model were analyzed. And the correction of the model was verified through engineering practice. Practice shows that the model of this paper has the correct semantics and engineering practical value.
The Design and Implementation of Remote Experiment System Based on Virtual Instrument
Authors: Ma Guo Sheng , Wu Zu Guo , Wang Jing
Published: December 2013

The application system based on web technology is the one fit in with the internet era. It is our goal through electronics experimentation to use the virtual web instruments system instead of real instruments. The system is based on a virtual instrument and web architecture. The Browser/Server solution mentioned has advantages such as cost savings by updating the hardware configuration circuit and replacing software components to fit the new type and functions of real devices and instruments, decreasing workload in system maintenance, and making a unified deployment. The content described in this paper shows how to design and implement a network experimental system of electronic technology in virtual instruments, and describes its application in electronics practice.
Bioremediation of Biofuel-Soil Contamination by Using Pseudomonas putida
Authors: Sunar N.M. , Emparan Quin , Karim Ahmad Tarmizi Abdul , Noor S.F.M. , Maslan M. , Mustafa F. , Khaled N.
Published: December 2013

Abstract. The commercialization of biodiesel/diesel blends on the market can cause environmental damages due to spills. This study aims to investigate the effectiveness of Pseudomonas putida as oil-biodegradable agent in soil contaminated with biodiesel/diesel blend (B20). The effectiveness on bioremediation have been conducted by examined several physico-chemical tests on biodiesel/diesel-contaminated soil before and after seeding of P. putida. The spillage stimulation of B20 was conducted at laboratory scale for 24 days of incubation time. The results show that the bioremediation treatment able to remove up to 82%, 77%, 16%, and 10% of nitrogen, phosphate, sulfate and total organic carbon, respectively. The pH of soil sample was changed from pH 7.45 (Day 0) to 7.25 (Day 24) after the treatment. Meanwhile, the moisture content in the sample has increased from 44.11% (Day 0) to 50.35% (Day 24). All of these results show the good indication of quality improvement of polluted soil after treated with P. putida. It is apparent from the acquired results that the application of P. putida is suitable as effective microorganism and potentially exploits as useful oil-soil biodegradable agent in polluted soil.