bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrated in Silico Methods for the Design and Optimization of Novel Drug Candidates
Authors: Minovski Nikola , Novič Marjana
Published: March 2015

Although almost fully automated, the discovery of novel, effective, and safe drugs is still a long-term and highly expensive process. Consequently, the need for fleet, rational, and cost-efficient development of novel drugs is crucial, and nowadays the advanced in silico drug design methodologies seem to effectively meet these issues. The aim of this chapter is to provide a comprehensive overview of some of the current trends and advances in the in silico design of novel drug candidates with a special emphasis on 6-fluoroquinolone (6-FQ) antibacterials as potential novel Mycobacterium tuberculosis DNA gyrase inhibitors. In particular, the chapter covers some of the recent aspects of a wide range of in silico drug discovery approaches including multidimensional machine-learning methods, ligand-based and structure-based methodologies, as well as their proficient combination and integration into an intelligent virtual screening protocol for design and optimization of novel 6-FQ analogs.
Computational Approaches for the Discovery of Novel Hepatitis C Virus NS3/4A and NS5B Inhibitors
Authors: Thai Khac-Minh , Dong Quoc-Hiep , Nguyen Thi-Thanh-Lan , Le Duy-Phong , Le Minh-Tri , Tran Thanh-Dao
Published: March 2015

Nonstructural 5B (NS5B) polymerase and Nonstructural 3/4A (NS3/4A) protease have proven to be promising targets for the development of anti-HCV (Hepatitis C Virus) agents. The NS5B polymerase is of paramount importance in HCV viral replication; therefore, employing NS5B inhibitors was considered an effective way for the treatment of HCV. Identifying inhibitors against NS3/4A serine protease represents another attractive approach applied in anti-HCV drug discovery, which is evidenced by its crucial role of in the biogenesis of the viral replication activity. In this chapter, many different computational approaches including Quantitative Structure-Activity Relationship (QSAR) and virtual screening in anti-HCV drug discovery were considered and discussed in detail. Virtual Screening (VS) techniques, including ligand-based and structure-based, and QSAR have been utilized for the discovery of NS5B inhibitors. Moreover, using various in silico protocols and workflows, a number of studies have been conducted with an aim of identifying potential NS3/4A blockage agents.
QSAR Models towards Cholinesterase Inhibitors for the Treatment of Alzheimer's Disease
Authors: Mohan C. Gopi , Gupta Shikhar
Published: March 2015

Alzheimer's Disease (AD) is a multifactorial neurological syndrome with the combination of aging, genetic, and environmental factors triggering the pathological decline. Interestingly, the importance of the Acetylcholinesterase (AChE) enzyme has increased due to its involvement in the ß-amyloid peptide fibril formation during AD pathogenesis. In silico technique, QSAR has proven its usefulness in pharmaceutical research for the design/optimization of new chemical entities. Further, QSAR method advanced the scope of rational drug design and the search for the mechanism of drug action. It is a well-established fact that the chemical and pharmaceutical effects of a compound are closely related to its physico-chemical properties, which can be calculated by various methods from the compound structure. This chapter focuses on different Quantitative Structure-Activity Relationship (QSAR) studies carried out for a variety of cholinesterase inhibitors for the treatment of AD. These predictive models will be potentially used for further designing better and safer drugs against AD.
Ligand- and Structure-Based Drug Design of Non-Steroidal Aromatase Inhibitors (NSAIs) in Breast Cancer
Authors: Jha Tarun , Adhikari Nilanajn , Halder Amit Kumar , Saha Achintya
Published: March 2015

Aromatase is a multienzyme complex overexpressed in breast cancer and responsible for estrogen production. It is the potential target for designing anti-breast cancer drugs. Ligand and Structure-Based Drug Designing approaches (LBDD and SBDD) are involved in development of active and more specific Nonsteroidal Aromatase Inhibitors (NSAIs). Different LBDD and SBDD approaches are presented here to understand their utility in designing novel NSAIs. It is observed that molecules should possess a five or six membered heterocyclic nitrogen containing ring to coordinate with heme portion of aromatase for inhibition. Moreover, one or two hydrogen bond acceptor features, hydrophobicity, and steric factors may play crucial roles for anti-aromatase activity. Electrostatic, van der Waals, and p-p interactions are other important factors that determine binding affinity of inhibitors. HQSAR, LDA-QSAR, GQSAR, CoMFA, and CoMSIA approaches, pharmacophore mapping followed by virtual screening, docking, and dynamic simulation may be effective approaches for designing new potent anti-aromatase molecules.
Quantitative Nanostructure-Activity Relationship Models for the Risk Assessment of NanoMaterials
Authors: Vrontaki Eleni , Mavromoustakos Thomas , Melagraki Georgia , Afantitis Antreas
Published: March 2015

In the last few decades, nanotechnology has been deeply established into human's everyday life with a great number of applications in cosmetics, textiles, electronics, optics, medicine, and many more. Although nanotechnology applications are rapidly increasing, the toxicity of some nanomaterials to living organisms and the environment still remains unknown and needs to be explored. The traditional toxicological evaluation of nanoparticles with the wide range of types, shapes, and sizes often involves expensive and time-consuming procedures. An efficient and cheap alternative is the development and application of predictive computational models using Quantitative Nanostructure-Activity Relationship (QNAR) methods. Towards this goal, researchers are mainly focused on the adverse effects of metal oxides and carbon nanotubes, but to date, QNAR studies are rare mainly because of the limited number of available organized datasets. In this chapter, recent studies for predictive QNAR models for the risk assessment of nanomaterials are reported and the perspectives of computational nanotoxicology that deeply relies on the intense collaboration between experimental and computational scientists are discussed.
Research of the Indoor Service Robot Based on ZigBee Positioning
Authors: Wang Zhi Yong , Liu Yu Liang
Published: March 2015

With the progress and development of society, people's living standards improve, the research of a variety of indoor service robot is more and more concerned. On the basis of technical research and development of indoor service robot positioning technology in recent year, this paper design of an indoor service robot system based on ZigBee positioning technology. The system used ARM9 microprocessor as control core, equipped with motor drive module, sensor module, ZigBee positioning module and power module, via corresponding software design, to complete stable walking, environmental monitoring, grasbing objects and so on. Experimental results show that the robot system is running well, and can be used in homes, supermarkets, museums and other indoor environments.
Research on Fan Warning Model for Curved Roads on Highways Based on Millimeter Wave Radar
Authors: Wei Yu Cong , Long Wei
Published: March 2015

For the phenomenon that false alarms, leak alarms frequently occur in existing methods for highway warning, a fan warning model for curved roads is proposed based on millimeter wave radar, the establishing method of the model is introduced, the related parameters of the model are determined, the concept of driving safety margin is put forward, a graded early warning mechanism is established based on driving safety margin, the early warning methods and the critical points to enable these methods are given. The simulation results show that the fan warning model for curved roads can effectively reduce false alarms and leak alarms, the model is feasible.
The Design and Implementation Approach of a Dual Redundant Servo Controller
Authors: Li Chao , Yang Yi Qun , Hao Xu Yao
Published: March 2015

To solve the problem of steering gear and its bypass electromagnetic interference to servo controller communication system. Design of a four-steering gear control system based on dual redundant communication CAN bus and RS422 bus communication. Analysis Method of voting dual redundant data communications. Introduction implementation of the servo controller. The experimental results show that this system has good fault tolerance and noise immunity.
LMI-Based H ∞ Control for Dual-Channel E-Commerce CLSC Networks and its Bullwhip Effect
Authors: Guo Hai Feng
Published: March 2015

Through the effective integration of the traditional channel and Internet channel, Dual-channel E-commerce is so important in the supply chain. In this paper, a state space dynamic model of a Dual-channel E-commerce closed-loop supply chain networks is established, which includes the manufacturer, the distributor, the consumer and the reverse logistics including the remanufacturing and the gratuitous return. An l2 norm of the model’s transfer function is described as a method to quantify the bullwhip effect. In order to minimize of the up bound of the bullwhip effect, the linear matrix inequality approach is applied to design H∞ control strategy under the uncertain conditions. A simulation number example indicates the proposed algorithm is effective and feasible.
Network Optimization of X-by-Wire System Based on FlexRay Bus
Authors: Li Fang , Wang Li Fang , Liao Cheng Lin
Published: March 2015

X-by-Wire system is a typical automotive network control system. The control of x-by-wire system depends on communication network (like CAN, TTCAN or FlexRay), it must meet not only the control performance, but also the real-time performance and reliability requirement. Network optimization in x-by-wire system is great significant for achieving these targets. In this paper, first task graph was designed for the x-by-wire system, and different control links were distinguished from the task graph. Then the network optimization algorithm was designed to implement message slot arrangement coordinated with task execution time in the control links, and the principle of the network optimization algorithm design is reducing the control link response time for the best effort. Through a typical car x-by-wire control system, we can see that the network optimization algorithm research has important guidance for the optimization of the system message transmission, and can improve the system's real-time performance.
Adaptive Fuzzy Backstepping Control for a Modular Designed Bolt Tightening Shaft System
Authors: Liu Si Bang
Published: March 2015

This paper presents a modular designed autonomous bolt tightening shaft (BTS) system and an adaptive fuzzy backstepping control is designed for such a system. The BTS system is designed for the autonomous bolt tightening operation, which has a wide potential industry application. Due to its inherent nonlinear and uncertain properties, the BTS system is mathematically modeled as an uncertain strict feedback system. By employing adaptive backstepping and the approximation property of fuzzy logic system, the controller is designed step by step. Based on the Lyapunov stability theorem, all signals in the closed-loop system are proved to be bounded and tracking error converge to zero. Simulation results on the BTS system are provided to validate the effectiveness and performance of proposed autonomous system.
Control Scheme for Stock Approach System of Chinese High Speed Tissue Machine
Authors: Tang Wei , Wang Qi , Pei Zhi Yong , Lian Yu Yang , Wang Zhen
Published: March 2015

The stock approach system of Chinese high speed tissue paper machines and the configuration of measuring and control points are specified. After introducing the control of absolute dry pulp quantity, the control scheme of Fuzzy-PID composite is implemented. The application result indicates that the scheme proposed is feasible and effective
Period Optimization Scheduling Algorithm Research of CAN Bus in Electric Vehicle
Authors: Li Fang , Wang Li Fang , Liao Cheng Lin
Published: March 2015

Improving the real-time performance of CAN bus is the focus problem of in-vehicle network design. It can improve the efficiency of message transmission to meet the needs of system control requirement. This paper firstly put forward the message response time calculation method of CAN bus considering a periodic correction coefficient. Secondly, based on the message response time calculation method using periodic correction coefficient, the periodic scheduling algorithm was designed and researched, using nonlinear programming method. The efficiency of periodic scheduling algorithm was validated by an optimization example of hybrid electric vehicle message set. It can be used in the CAN bus optimization design stage, and as a guidance for the CAN bus system design.
Worst Case Response Time Analysis of Sporadic Traffic in MVB
Authors: Zeng Qiu Fen , Chen Te Fang
Published: March 2015

The Multifunction Vehicle Bus (MVB) protocol is well applied to train network control system where a set of process variables must be transferred between network devices. To cope with the real-time requirements of such system, the MVB protocol is designed to support both periodic and sporadic traffic. The periodic traffic is handled according to a static scheduling table, thus the schedulability can be certain after system initialization. However, for the sporadic traffic, the situation is different due to their irregular occurrence in the system. Therefore, more complex analysis must be made in order to guarantee its timing requirements. In this paper, a schedulability analysis is made by executing worst case response time analysis for sporadic traffic in MVB network.
Research on One-Dimensional High Frequency Linear Motion Platform
Authors: Wang Fei , Wu Rong Rong , Wang Li Qiang , Wu Si Yuan
Published: March 2015

Precision motion system is driven directly by high frequency linear motion platform, eliminating the adverse effects brought by mechanical transmission, and greatly improving the rapid reaction capability and the control accuracy of feedback system. The linear motion platform is widely used in various types of high-speed, precision machining equipment. In the paper, the one-dimensional linear motion platform is described, and design solution of mechanical part and control system is also introduced, including working principle and structure of voice coil motor, control methods of grating sensors, circuit of grating sensor, drive and control circuit. Displacement control, speed control and output force control of the one-dimensional linear motion control platform can be achieved. So the one-dimensional linear motion platform can be applied in the movement device in high-precision and high-speed.
Design of Voice Control System for Smart Home Based on STM32
Authors: Qian Ping , Zhang Ying Zhen , Li Yu
Published: March 2015

The application of embedded speech recognition technology in the smart home is researched, combining of the Internet of Things, the voice control system for smart home has been designed. The core processor chooses the high-performance Cortex-M4 MCU STM32F407VGT6 produced by STMicroelectronics. The system contains a hardware unit based on LD3320 for speaker-independent speech recognition. RF wireless communication uses ultra-low power chip CC1101 and GSM employ SIM900A. Real-time operating system FreeRTOS is used for multitask scheduling and the operation of household devices. The practical application verifies that this voice control system practicably can identify voice commands quickly and accurately, complete the control actions primely, has a wide application prospect.
The Design of the Intelligent Voice Recognition System Based on Labview
Authors: Xu Qing Kun , Du Zhi Qiang , He Jun
Published: March 2015

The recognition of speech sounds test system based on virtual instrument was designed successfully. For years, virtual instrument has become a huge active communication platform for user, and covered the multiple industries and fields of applications, becoming the data acquisition and instrument control the best choice. Based on the Labview 8.5 software platform, combined with PC sound card, microphones and other hardware acquisition of speech signal, the speech signal is filtered. Through the Hamming window, and power spectrum, the recognition of speech signal is realized. After the actual test and application, software operation is stable and reliable, with certain practicability and value of popularization and application.
The Embedded Parking System Design Based on RFID
Authors: Zhang Yue Xia , Liu Yong Chao , Zhuang Jing , Liu Tai Ran , Xie Bei
Published: March 2015

With the rapid growth of China's economy, and the gradually improvement of the people's living standard, the car has become an indispensable means of transportation in our lives, and its number is increasing. So, the demand for the quality and scale is also growing. In order to meet the needs of daily parking management, this paper designed a kind of efficient embedded parking lot management system based on RFID. The system takes the Micro2440 embedded development board as the hardware platform and the Linux operating system as the software platform. It can gather vehicle information from RFID electronic tag cyclically to control the switch of the gate and broadcast the received information. After running and testing, the system has completed the initial design goals stable, and the operation is very. It has a certain application value.
Evaluation Model of Combat Effectiveness Based on MAS
Authors: Zhang Bo , Zhao Da Wei , Zhao Xue
Published: March 2015

This paper presents ideas that using the complex system theory to achieve combat effectiveness evaluation, and constructs an combat agent model and a potential field theory model, then take an example to accomplish the combat effectiveness evaluation based on multi-agent.
Algorithm of Moving Vehicle Detection by Improved Gaussian Mixture Model Based on ROI
Authors: Zhang Pan Pan , Mu Chun Yang , Ma Xing , Xu Fu Lu
Published: March 2015

Detection of moving object is a hot topic in computer vision. Traditionally, it is detected for every pixel in whole image by Gaussian mixture background model, which may waste more time and space. In order to improving the computational efficiency, an advanced Gaussian mixture model based on Region of Interest was proposed. Firstly, the solution finds out the most probably region where the target may turn up. And then Gaussian mixture background model is built in this area. Finally, morphological filter algorithm is used for improving integrity of the detected targets. Results show that the improved method could have a more perfect detection but no more time increasing than typical method.
Improved K-MEANS Algorithm Based on Samples
Authors: Jin Wei , Zhao Xiao Rong
Published: March 2015

Clustering analysis plays an important role in scientific research and commercial application. K-means algorithm is a widely used partition method in clustering. in this method.The number of clusters is predefined and the technique is highly dependent off the initial identification of elements that represent the clusters well. As the dataset’s scale increases rapidly, it is difficult to use K-means and deal with massive data. partitions.To prevent this problem,refining initial points algorithm provided.it can reduce execution time and improve solutions for large data by setting the refinement of initial conditions.The experiments demonstrate that sample-based K-means is more stable and more accurate.
Reentry Trajectory Optimization Based on Time-Domain Improved Particle Swarm Optimization
Authors: Yang Bo , Wang Hai Xiao
Published: March 2015

A new time-domain improved PSO algorithm is proposed to solve the problem of reentry trajectory optimization. The approach uses time-domain basis functions fitting the control variables, solves free final time optimal control directly, and sets parameters by using vehicle's dynamic characteristics. Simulation of a reentry vehicle with no-fly zone constraints is used to demonstrate the effectiveness and veracity of algorithm in reentry trajectory optimization. The final condition error is less than 1%.
Short-Term Traffic Flow Forecasting Based on SVR with Improved Artificial Fish Swarm Algorithm
Authors: Fang Ren Xiao , Yao Wei Hong , Zhang Xu Dong
Published: March 2015

Real-time and accurate traffic flow forecasting is one of the key contents of Intelligent Transportation System. For the disadvantage of parameter selection of Support Vector Regression (SVR), an improved artificial fish swarm (IAFS) algorithm using the adaptive search mechanism was applied to optimize SVR. This method aimed at improving the prediction accuracy and extensibility of short-term traffic flow forecasting. Then a short-term traffic flow forecasting model based on IAFS-SVR was proposed. The results show that the proposed method has better prediction performance, and is suitable for short-term traffic flow forecasting.
Research on Detection System of Pesticide Residues Based on Fluorescence Method
Authors: Shi Li Juan , Zhao Jian , Wang Li Rong , Xu He
Published: March 2015

According to the national food inspection standards,research a new inspection system of pesticide residues combine with fluorescence detection method. Integration with photoelectric technology, sensor technology and micro processing technology ,First ,analysis of fluorescence detection mechanism of pesticide, adopting the light-emitting diode and a photoelectric device as the core to design the fluorescence detection system and using photomultiplier tube design microprocessor control system, System can rapid determination of food pesticide residues.
JPEG Image Encryption Algorithm Based on Three-Dimensional Multi-Chaotic System
Authors: Wang Ke Feng , Zhuang Su , Zhao Xiao Rong
Published: March 2015

The paper decribes the JPEG image encryption algorithm based on three-dimensional multi-chaotic system. The algorithm is designed to segment the image into three-demensional matrix system with a variety of chaoic encryption system. The images are scrambled and transformed in the three-dimensional space, and then by the three-dimensional chaotic sequence from multi-chaotic system, they are respectively transformed as airspace tricolor per-pixel alternative images. Reaearch results show that the algorithm has good confusion and diffusion properties of pixels and a powerful key space of greater resistance. The encrypted image pixels are distrubuted randomly and evenly with adjacent pixels of zero correlation properties, which proves the proposed scheme has a high security.
Acquisition Method of Typical Time Course for Stationary Signal Basing on Frequency Weighting
Authors: Lu Dan , Zhou Yi Qi , Liu Lei , Chen Yue Biao
Published: March 2015

The cab acoustic response, which could be considered to be random and stationary, determines the riding comfort of the excavator. In order to get the most useful information from the actual cab noise signal, an acquisition method of typical time course for a stationary signal was proposed in this paper. Firstly, a series of de-noising preprocessing was applied on the test signal. Then, the stationarity and ergodicity of that were examined via runs test method. Finally, combining with FFT, IFFT and the frequency weighting, the typical time course was obtained. The results show that the statistical parameters and spectral characteristics of the obtained typical time course are consistent with those of the measured signal, which means that the obtained one could be regarded as a representation of the actual signal for further analyzing more effectively.
Petiole Segmentation Method Based on Multi-Structure Elements Morphology
Authors: Wu Xing Li , Yang Li Li , Liang Fan , Cui Shi Gang
Published: March 2015

Leaf and petiole can be divided by using computer image processing technology. It has an important role for the feature extracting of leaf and the accuracy of characteristic analysis. In this paper, we compare the distribution of multi-channel histogram in HSV color model, and then select the appropriate channel and threshold value to process the image. Here we use the method of mathematical morphology with the element of multi-structure and multi-scales to smooth the leaf boundary and eliminate the isolated points in the image. Finally, we realize the effective segmentation between the leaf and petiole. Results show that when the condition of the color difference is not obvious, we can better remove the petiole by the use of saturation and brightness channel, and choose the appropriate structure elements according to the direction and size of the petiole. It can provide technical support for the accurate segmentation and extraction of feature information on the leaf.
A Novel Image Denoising Method in 2-D Fractional Time-Frequency Domain
Authors: He Shuang Shuang , Jiang Yuan Yuan , Zheng Jin Yan
Published: March 2015

To improve image quality and a higher level of follow-up image process needed, it's of great importance to do the image denoising process first. A new image denoising method in two-dimensional (2-D) fractional time-frequency domain is proposed in this paper. Through the realization of 2-D fractional wavelet transform algorithm, the 2-D fractional wavelet transform theory is applied to image denoising, and compare with image denoising method based on 2-D wavelet transform. A large number of image denoising simulation studies have shown that, the Peak Signal to Noise Ratio of output images based on the proposed method can be effectively improved, and preserve detail information effectively and reduce the noise at the same time. It proved 2-D fractional wavelet transform is a new and effective time-frequency domain image denoising method.
Tracking of Moving Objects in Video Sequences Based on Elliptical Subtractive Clustering
Authors: Sun Zhi Hai , Hu Bin , Meng Ying , Zhou Wen Hui
Published: March 2015

Visual object detection and tracking have become an important step between computer vision and video analysis. Recent methods almost use mean shift for tracking problems, which are difficult to overcome the shortcoming with the initial object model. Initial object model is almost initialized manually by user, which is not smart enough and inconvenient. This paper considers the integration strategy for elliptical subtractive clustering and mean shift, and proposes a novel tracking method based on elliptical subtractive clustering.
Reconstruction of EEG Signal Based on Compressed Sensing and Wavelet Transform
Authors: Liang Shuang , Li Lu
Published: March 2015

This paper, both theoretically and numerically, investigates an effective reconstruction of EEG signal. An optimization model is presented, which unifies different sparse signals. The model is solved by employing the proximal algorithm. Based on the theoretical analysis, the simulation of EEG signal is performed. Sparse representation of EEG signal is got by the technique of wavelet transform and the signal denoising is also obtained. Then, by using compressed sensing, the EEG signal is reconstructed. Our results show that the reconstructed signal is in good agreement with the original signal and retains the leading characteristic.
Basketball Detection Based on Moving Robot
Authors: Tang Chen , Hu Zhong Hua
Published: March 2015

The purpose of this study is to introduce a method based on color space and object shape, in order to get data of ball by openni and to obtain a coordinate of the point. The distance from robot to basketball with respect to basketball position was achieved. Our results shows that the method has strong stability and real-time performance to use in robots.
Face Recognition Using Laplacianfaces and Artificial Neural Network
Authors: Miazonzama J.F. , Hua Qiang , Wang Liang
Published: March 2015

Face recognition has recently become a hot research topic. In order to do more in that area, several algorithms have emerged. However, even the most efficient algorithm has limitations. To overcome this problem, the combination of algorithms is sometimes used. In this paper a methodology based on two approaches is presented. Firstly, we use Locality Preserving Projection (LPP) for feature extraction. Secondly, the Back Propagation Neural Network (BPNN) is used for recognition. Experiments have been done using 400 images of ORL database. Experimental results show that the algorithm is performs well and achieves good recognition.
Optimal Configuration of PMU in Power System
Authors: Zhi Jing , Xu Yan
Published: March 2015

In order to use the least number of phasor measurement unit (PMU) to guarantee the power system completely observable, an optimal PMU configuration method in power system was put forward. The pre-configuration of PMU was done considering the actual situation of power grid. The genetic algorithm (GA) was used for PMU configuration. Modify the formulae of crossover probability and mutation probability in traditional genetic algorithm to overcome the evolutionary stagnation when the maximum fitness value and the average fitness value in group were equal. The improved adaptive genetic algorithm (IAGA) was obtained. In order to eliminate the premature convergence of GA resulted from the chance and randomness of the crossover operation and mutation operation, the preventing premature operation was introduced. This method combined the IAGA and the preventing premature operation. It has good global astringency, and it can ensure the network complete observability with the minimum number of PMU.
Rapid Identification of Key Lines in Power Flow Transferring with Two Branches Simultaneous Removal under Multiple Voltage Levels
Authors: Zhi Jing , Xu Yan
Published: March 2015

In order to avoid the cascading tripping caused by power flow transferring, a fast identification method of two branches simultaneous removal under multiple voltage levels was proposed. Calculate the per-unit value of element parameters under different voltage levels. Search the K shortest paths between the two nodes of broken line with the network topology considering the two branches removal and the value of K was optimized. Use the power flow transfer factor to estimate the power flow increment of lines on the path and the key lines in power flow transferring were obtained. The method is accurate and it is verified in the IEEE39 node system.
Smart Grid Technology Is Analysed for the Influence of the Electric Power System Planning
Authors: Yao Ji , Du Zhi Qiang
Published: March 2015

Based on the smart grid connected to the electricity grid system as the research object, from the development of electric technology and intelligent power grid planning of power system significance and influence of these two aspects, the work can only be connected to the electric power system grid technology has carried on the detailed analysis and elaboration, and thus demonstrates the do a good job for the whole power grid system stable operation and the role and impact of long-term development.
Study of Short-Term Wind Power Forecasting Based on Adaptive Grey Prediction Method
Authors: Cai Wen Zhen , Wang Dong Tao , Wang Yuan Song , Yang Yong , Gao Zhi Long
Published: March 2015

With the wind power developing fast in the world, the large scale of wind power integration in power system leads to great challenges, and the wind power forecasting will play a key role in dealing with these challenges. A wind power short-term forecasting method based on grey system is introduced in this paper. Firstly, a basic model of grey prediction method is given. Then, in order to smoothen the basic data for the grey modeling, a self adaptive grey prediction method is developed. Finally, the result of prediction for a test system of wind power are presented and the effectiveness of the method given by the paper has been proved.
Research of Analysis Software of Fault Wave Record Short Circuit Current Based on Matlab/GUI
Authors: Wang Yong Sheng , Zhang Kai , Zhang Zhi Xiong
Published: March 2015

When a fault occurs in power system, the short circuit current contains the decaying DC components, fundamental-wave periodic components and higher harmonic components. At present analysis soft-wares of fault record devices are based on FFT method mostly, which has no resolution in time domain and the effect is not very ideal. In order to research of the attenuation characteristics of short circuit current more accurately, it is improved by envelope-functions, thus we can obtain more accurate the fundamental-wave components and decaying direct current components after the breakup and have a deeper understand of the power system transient. This paper programs to implement the research of wave record data, by means of MATLAB/GUI, based on the standard of power system transient data general format (COMTRADE), which has good significance.
The Numerical Simulation of Iced Conductor and Research of Influencing Factors
Authors: Gao Le , Hu Ji Cai
Published: March 2015

In order to study the influence of some key factors such as the turbulence intensity related to micro topography and the diameter of conductor to the aerodynamic characteristics of iced conductor , the model is built based on the characteristic of iced conductor with crescent type ,to simulate the aerodynamic parameters for it and compare with the wind tunnel tests .The results show that we can make supplement reference to the wind tunnel tests through the numerical simulation method. Besides , we adjust the model and make research for the influence of diameter of conductor. The aerodynamic parameters we get can provide some reference to the research of galloping conductor.
Improvement of the Load Process of Pb Batteries Connected to a Photovoltaic System
Authors: Dragomir Florin , Dragomir Otilia Elena , Iliescu Sergiu Stelian , Stefan Veronica
Published: March 2015

This paper proposes an intelligent controller based on fuzzy logic, capable to ensure to the networks with distributed renewable energy generation, a high performance in functioning and in concordance with the latest demands of triple performance strategies. It is a solution to the identified problem of the photovoltaic systems: the low efficiency of the energy transfer between the storage unit and photovoltaic module, dues to the appearance of the hydrogenating phenomena. An increasing value of the energy available to users of the power system is expected as results of the implementation of the proposed intelligent load device.
Calibration of Eddy Current Sensor Using Speckle Photography
Authors: He Jin , Zhang Hao , Zhu Meng
Published: March 2015

Double exposure speckle is proposed to calibrate eddy current sensor in micro-displacement measurement for its simplicity, robustness and high resolution. The specklegram is taken as the vector of the displacement. The actual displacement of an object is calculated according to the speckle displacement on the spatial term, which is worked out according to the fringe spacing on the spectrum surface. A calibration system is proposed with proper speckle size and imaging magnification. Experiments showed that the accuracy of displacement measurement is 0.196um with an optical magnification 65.8. The calibration curve of the eddy current sensor is consistent with the result by a nanopositioning system.
Research of New Driving Motor Power Instrument of Formation Evaluation Tool Hydraulic Pump
Authors: Zhao Li Yong , Wu Qian
Published: March 2015

In view of existing shortcomings and insufficiency in the current formation test evaluation instrument hydraulic pump drive motor power, this paper designs a new type hydraulic pump drive motor power. This paper first introduces the new hydraulic pump drive motor overall design scheme of power, and then the algorithm is analyzed. Finally, the experimental results prove the feasibility and practicability of the new driving motor power instrument.
The Design of Parallel IGBT Modular for Modularized Wind Power Converter
Authors: Fu Xiao Jin , Que Chun Lan , Zhang Shuai , Yang En Xing , Ye Hang
Published: March 2015

Aiming at meeting the requirement of modularization for megawatt wind power converter, the paralleling structure of IGBT modules was designed. Fast transient response and current sharing capabilities of the paralleled IGBT modules were regarded as the main research object, the drive circuit and adapter plate was also designed. utilizing the new type of protection circuit on the adapter plate to ensure reliability of the paralleled IGBT modules. As one of the most promising technologies, Digital drive technology was applied as the conception of the driver, and the core of the driver is FPGA and A/D sampling circuit. Using digital driver had the advantages of good consistency pulse parameters, flexible software programming and high anti-jamming ability. The current equalization among the IGBT modules was verified by means of the field test. Based on the experiment, the characteristics of balancing parallel IGBTs' currents were better than previous designs. It is concluded that the whole design of the system was reasonable and can meet the demands of the engineering applications.
Study on the Influence Factors of Dry Hollow Parallel Reactor Loss
Authors: Guo Xiao Bing , Tan Xiang Yu , Wang Yong Hong , Wang Yan , Zhao Kun Ming , Zhang Jie
Published: March 2015

Reactor individual branch loss mutation is one of the important reasons leading to local temperature too high. In order to explore process deviation for dry type hollow shunt reactor loss amplification effect, this paper is establish a loss calculation model of dry-type air-core reactor as the tool, Comparative analysis relationship between the four common types of process deviation and the local branch loss. Calculation results show that the number of turns deviation are the main factor influencing the reactor partial loss, So the reactor production winding process should strengthen the control of the number of turns deviation.
The Research and Development of a High Precision Measuring Device
Authors: Deng Song
Published: March 2015

This paper focuses on the research and development of a non-contact measuring device which is novel, practical, low-cost, and high-precision. The mechanism, working principle, control flow diagram and method of this new device is presented.
Research of High-Voltage IGBTs for Series Connection with Active Voltage Clamping
Authors: Wang Zhi Xia , Ge Zou , Chen Zhong Yuan , Su Ying Ying
Published: March 2015

Because of the high voltage, high current and easy to be driven, IGBT become the optimal selection of the power convert system. As the improvement of power electronics, the voltage becomes higher and higher, such as high inverter, HVDC and Flexible HVDC system. The voltage should be dozens of kilo-volt. Single device cannot be used in these occasions. Thus, IGBTs for series connection is necessary.In the series connection of IGBTs, as the result of the different parameters and the delay of the drive signals, the main problem is unequal sharing of voltage respectively. The devices which withstand over voltage might be broken down and result in the fault of the whole circuit. Therefore， it is necessary to protect the over voltage of the IGBT.The method of active voltage clamping for the High-Voltage IGBTs for series connection is presented. The transient voltage suppressor(TVS) lied between the collector and gate of IGBT is adopted as active clamping circuit, and the clamping voltage value is decided by rated IGBT voltage and the working voltage. When turning of on the IGBT, TVS is broken down by over voltage, and the voltage between collector and emitter is clamped．
Application of HV Frequency Converter in Pump Feed System on Waste Heat Boiler
Authors: Zhang Ren Xing
Published: March 2015

Analyze the actual operating conditions of the high pressure feed-water pump; discuss its negative effects on the safety and economic benefits to the enterprise. Propose the use of high-voltage inverter on high-pressure feed-water pump with variable frequency and adjustable speed control. Specify its implementation and problems encountered in the implementation process and the countermeasures.
Summary of Rese arch Status and Control Strategies for Matrix Converter
Authors: Sun Zheng Hai , Wang Jian Ping
Published: March 2015

With the further development of power electronic devices, matrix converter has many excellent properties. As high power factor converter equipment, matrix converter will have a great potential for its development. After reviewing the current situation from both domestic and abroad, this paper describes the key technology of Matrix Converter, including topology, modulation strategy and commutation problems. Finally make a summary of matrix converter operation’s enhancement and improvement of the ability of the method in abnormal conditions.
Design of a High-Voltage Signal Generator Applied Flashover Fault Detection
Authors: Liu Jian Ye , Ni Jiao
Published: March 2015

For cable flashover failure, a signal generator design ideas of the NC DC high flash - DC medium voltage flash - low-voltage flash based on three pulse method, consists of three components: the DC source, medium-high pressure unit and low pressure unit. DC source adopts AC 220V power supply, after rectification, chopping booster output. The output of the DC source through an inverter and high-frequency boost get the high-voltage unit. Low unit through the high-speed switching devices and capacitor charging and discharging achieve nanosecond pulse generation. In this paper, the various aspects of the design of the system have made a detailed description and simulation research.
Automatic Measurement and Control System of Temperature Rise Test for the Power Electronic Transformers
Authors: Xu Yi , Shen Hai Zhou , Wan Lei , Lu Bin
Published: March 2015

In the domestic certification bodies the automation degree of the definitive test of the accessories products left much to be improved, as for safety of the transformer conforming to the international standard of IEC61558-1, the traditional manual testing method barely meets the requirements of sampling rate, and has caused a lot of technical deficiencies including inadmissible deviation in the calculation and post-processing of the related experimental data, lengthy work-time of staff, and low test efficiency. In this paper, concerning the type test of various electronic and power transformers, a set of intelligent automatic measurement and control system of the temperature rise test is presented, consisting of software packages with modularized designing and an original hardware apparatus with built-in control modules. Therefore this system is capable of performing a series of operations without human intervention, such as controlling of the related testing equipment, data analysis, real-time monitoring, timing acquisition and data processing of corresponding algorithms, auto-save of test configuration and generating original record of the test. Thus, the idea of ‘Full automation with only one simple configuration’ has truly been realized. The experimental results show that compared with the traditional testing method, the application of this system minimized uncertainty caused by human factors in the testing process and improve precision of data analysis, and also ensured the reproducibility, consistency and traceability of the test results effectively.
The Research of LED Light Source System for Hybrid Cymbidium
Authors: Li Jing Yue , Wu Fei Long , Zhou Hong , Li Xu Ke
Published: March 2015

Hybrid Cymbidium is a kind of highly ornamental plant, which can bring much economic benefit.However, this plant need a special environment condition of good temperature and light.As a result, it costs too much to plant the Hybrid Cymbidium.In this paper we present an intelligent light control system which can provide a good light environment condition for Hybrid Cymbidium and it can reduce much of the cost.By using this light control system,we can get good economic benefit .Moreover this system can be used in most of the plant which need artificial light.
Application and Development of Solar Street Lamp in China
Authors: Zhang Qian , Zeng Zhao Rong
Published: March 2015

As a new type of energy, solar power has been increasingly noticed. Solar cells have been applied to beacon even in the early 1970s. Solar street lamps, in order to solve the problem of powerless, have been widely used in Tibet, Xinjiang, Qinghai, Inner Mongolia, moreover, extended to other urban and rural areas. Meanwhile, only clearly understand the structure and working principle of solar street lamps, can we accurately make full use of them, rather than waste resources caused by arbitrary using. Additionally, deepen knowledge of precaution and problem-solving by using solar street lights is pretty important.
Performance of Iron Ore Tailings as Partial Replacement for Sand in Concrete
Authors: Oritola Sikiru , Saleh Abd Latif , Mohd Sam Abdul Rahman
Published: March 2015

This paper reports preliminary findings on the properties of concrete produced using iron ore tailings obtained from ZCM Minerals SDN BHD located in Kotta Tingi, Johor, Malaysia. The Iron Ore Tailings (IOT’s) a waste product, with particle size range from (850μm - 75μm) obtained from Iron Ore Processing was utilized as fine aggregate to produce concrete. Based on British Standard (BS) guidelines, normal concrete mix was designed. Five types of concrete samples (C0, C1, C2, C3, and C4) were produced, with the percentage of tailings used to replace sand as fine aggregate ranging from 0 to 40[%]. The reference sample is C0 with no tailings and the four others, containing tailings at 10[%] intervals. The effect of iron ore tailings on the consistency of the fresh concrete were studied, as well as the density, compressive strength, flexural strength and splitting tensile strength, of the hardened concrete. The results of the consistency tests on concrete shows that the slump values ranges from 81 to 53[mm] from concrete sample C0 to C4 respectively, while the compacting factor values ranges from 0.92 to 0.89 respectively. The density of the produced concrete cube samples falls within the range 2350 to 2430[kg/m3]. The concrete sample C3 gave the highest compressive strength value of 43.70[N/mm2]. The concrete sample C3 also gave the highest flexural strength value of 4.79[N/mm2], while the The concrete sample C4 gave the highest splitting tensile strength value of 4.0[N/mm2] after curing period of 28[days].
Application of Adaptive Network-Based Fuzzy Inference System (ANFIS) for River Stage Prediction in a Tropical Catchment
Authors: Nawaz Nadeem , Harun Sobri , Talei Amin
Published: March 2015

Computational intelligence (CI) tools have been successfully applied in different fields with superior performances. Neuro-fuzzy system (NFS) is one the approach which combines the benefits of two powerful CI tools known as artificial neural networks (ANN) and fuzzy logic. Although NFS has attracted researchers in many areas of study, few of its applications have been undertaken in hydrological modeling. Adaptive Network-based Fuzzy Inference System (ANFIS) is so far the most established NFS technique and this study is an application of ANFIS in river stage prediction by using rainfall and stage antecedents as inputs in the tropical catchment of Bekok River in Malaysia. To evaluate the performance of the ANFIS model, it was compared with a traditional modeling technique known as autoregressive model with exogenous inputs (ARX). The results of this study were evaluated based on several statistical measures such as coefficient of efficiency (CE), coefficient of determination (r2), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). The results showed that ANFIS can successfully predict the river stage and it outperforms ARX model significantly. ANFIS was also found better in estimating peak river stages comparing to ARX model. This study demonstrates the auspicious potential of ANFIS in river stage modeling.