bluuebunny/crossref_metadata_2025 huggingface dataset:
Solution of “Hard” Knapsack Instances Using Quantum Inspired Evolutionary Algorithm
Authors: Patvardhan C. , Bansal Sulabh , Srivastav Anand
Published: March 2015

Knapsack Problem (KP) is a popular combinatorial optimization problem having application in many technical and economic areas. Several attempts have been made in past to solve the problem. Various exact and non-exact approaches exist to solve KP. Exact algorithms for KP are based on either branch and bound or dynamic programming technique. Heuristics exist which solve KP non-exactly in lesser time. Heuristic approaches do not provide any guarantee regarding the quality of solution whereas exact approaches have high worst case complexities. Quantum-inspired Evolutionary Algorithm (QEA) is a subclass of Evolutionary Algorithm, a naturally inspired population based search technique. QEA uses concepts of quantum computing. An engineered Quantum-inspired Evolutionary Algorithm (QEA-E), an improved version of QEA, is presented which quickly solves extremely large spanner problem instances (e.g. 290,000 items) that are very difficult for the state of the art exact algorithm as well as the original QEA.
Adaptive and Neural pH Neutralization for Strong Acid-Strong Base System
Authors: Jaleel J. Abdul , Benny Anish , Daniel David K.
Published: March 2015

The control of pH is of great importance in chemical processes, biotechnological industries, and many other areas. High performance and robust control of pH neutralization is difficult to achieve due to the nonlinear and time-varying process characteristics. The process gain varies at higher order of magnitude over a small range of pH. This chapter uses the adaptive and neural control techniques for the pH neutralization process for a strong acid-strong base system. The simulation results are analyzed to show that an adaptive controller can be perfectly tuned and a properly trained neural network controller may outperform an adaptive controller.
A Fuzzy Cyber-Risk Analysis Model for Assessing Attacks on the Availability and Integrity of the Military Command and Control Systems
Authors: Tavana Madjid , Trevisani Dawn A. , Kennedy Dennis T.
Published: March 2015

The increasing complexity in Military Command and Control (C2) systems has led to greater vulnerability due to system availability and integrity caused by internal vulnerabilities and external threats. Several studies have proposed measures of availability and integrity for the assets in the C2 systems using precise and certain measures (i.e., the exact number of attacks on the availability and the integrity, the number of countermeasures for the availability and integrity attacks, the effectiveness of the availability and integrity countermeasure in eliminating the threats, and the financial impact of each attack on the availability and integrity of the assets). However, these measures are often uncertain in real-world problems. The source of uncertainty can be vagueness or ambiguity. Fuzzy logic and fuzzy sets can represent vagueness and ambiguity by formalizing inaccuracies inherent in human decision-making. In this paper, the authors extend the risk assessment literature by including fuzzy measures for the number of attacks on the availability and the integrity, the number of countermeasures for the availability and integrity attacks, and the effectiveness of the availability and integrity countermeasure in eliminating these threats. They analyze the financial impact of each attack on the availability and integrity of the assets and propose a comprehensive cyber-risk assessment system for the Military C2 in the fuzzy environment.
Triangulation in Organizational Research
Authors: Tran Ben
Published: March 2015

The use of qualitative and quantitative methods in studying the same phenomenon has received attention among the scholars and researchers. As a result, it has become an accepted practice to use some form of triangulation in social research. In the social sciences, the use of triangulation can be traced back to Campbell and Fiskel. This was later developed by Webb and elaborated by Denzin beyond its conventional association with research methods and designs in science. The objective of science is to discover, describe, and explain the fact, whereas in the case of social science it is to observe, verify, and conclude. This chapter also covers the positivist view and the postmodernism and post-positivism paradigms of triangulation as well as the types of knowledge derived from the usage of triangulation in organizational research. This chapter concludes with how triangulation validates knowledge in human competence within an organizational setting.
A Second Life in Qualitative Research
Authors: Bhattacharya Kakali
Published: March 2015

Many institutions of higher education do not have well-developed qualitative research methods programs. Consequently, the role of qualitative research is minimized, and its legitimacy questioned as the methodology of choice in dissertations, relegating qualitative research as second fiddle to quantitative research. In this chapter, the authors present how using a three-dimensional multiuser virtual/digital world called Second Life serves as a fertile and rigorous space for critically engaged ethnographic practices in an institution where resources for qualitative research are scant. Using information extracted from students' projects conducting mini-ethnographies in Second Life, their YouTube podcasts, students' reflections in learning key concepts in qualitative research without prior exposure to this methodology, the authors engage in a discussion of transformative learning experiences. Discussion of transformative learning experiences includes an intersection of critical dialogue of integration of digital technologies, virtual worlds in qualitative research, kind of learning and learners produced as a result, and reflections necessary for pedagogically aligned instructional design and delivery.
Soccer Game Optimization
Authors: Purnomo Hindriyanto Dwi , Wee Hui-Ming
Published: March 2015

A new metaheuristic algorithm is proposed. The algorithm integrates the information sharing as well as the evolution operators in the swarm intelligence algorithm and evolutionary algorithm respectively. The basic soccer player movement is used as the analogy to describe the algorithm. The new method has two basic operators; the move off and the move forward. The proposed method elaborates the reproduction process in evolutionary algorithm with the powerful information sharing in the swarm intelligence algorithm. Examples of implementations are provided for continuous and discrete problems. The experiment results reveal that the proposed method has the potential to become a powerful optimization method. As a new method, the proposed algorithm can be enhanced in many different ways such as investigating the parameter setting, elaborating more aspects of the soccer player movement as well as implementing the proposed method to solve various optimization problems.
EvoWebReg
Authors: Adamidis Panagiotis , Kynigopoulos Georgios
Published: March 2015

This article presents a complete course registration system through the web (EvoWebReg). The system consists of three parts. The first one is a web application which allows the students to submit their course preferences to the system's database, through Internet. The second part is an administrative tool which controls the whole system and allows its smooth operation, and the third part is an evolutionary algorithm which is responsible for the optimization of the student course schedules according to their submitted preferences, and taking into consideration the constraints imposed by the department. The results of the experimental tests of the evolutionary algorithm prove that our initial objectives to provide an open generic and effective tool, which can satisfactory implement the course registration procedure, were achieved. The proposed system is quite general and can be easily adapted to incorporate the needs of other departments.
Instance-Specific Parameter Tuning for Meta-Heuristics
Authors: Ries Jana , Beullens Patrick , Wang Yang
Published: March 2015

Meta-heuristics are of significant interest to decision-makers due to the capability of finding good solutions for complex problems within a reasonable amount of computational time. These methods are further known to perform according to how their algorithm-specific parameters are set. As most practitioners aim for an off-the-shelf approach when using meta-heuristics, they require an easy applicable strategy to calibrate its parameters and use it. This chapter addresses the so-called Parameter Setting Problem (PSP) and presents new developments for the Instance-specific Parameter Tuning Strategy (IPTS). The IPTS presented only requires the end user to specify its preference regarding the trade-off between running time and solution quality by setting one parameter p (0 = p =1), and automatically returns a good set of algorithm-specific parameter values for each individual instance based on the calculation of a set of problem instance characteristics. The IPTS does not require any modification of the particular meta-heuristic being used. It aims to combine advantages of the Parameter Tuning Strategy (PTS) and the Parameter Control Strategy (PCS), the two major approaches to the PSP. The chapter outlines the advantages of an IPTS and shows in more detail two ways in which an IPTS can be designed. The first design approach requires expert-based knowledge of the meta-heuristic's performance in relation to the problem at hand. The second, automated approach does not require explicit knowledge of the meta-heuristic used. Both designs use a fuzzy logic system to obtain parameter values. Results are presented for an IPTS designed to solve instances of the Travelling Salesman Problem (TSP) with the meta-heuristic Guided Local Search (GLS).
Analysing Blogs in Market Research
Authors: Keat Leng Ho
Published: March 2015

There are many research methods available to market researchers. The most common methods are the use of survey questionnaires and interviews. However, these methods are dependent on respondents' ability to recall their experiences accurately. The use of diaries in market research has been argued to be a more valid research method. Respondents record their experiences almost immediately after an event, and the data is thus subjected to less distortion. In addition, diaries generate a regular stream of undirected data in chronological order, which allows for deeper insights into consumption patterns and changes in attitudes or behaviours. More recently, the development of blogs or electronic diaries opens new possibilities for researchers interested in the use of diaries as a research method. The purpose of this chapter is to examine the use of blogs as a market research tool. The chapter first reviews the arguments for using blogs in market research. This is followed by an examination of two case studies using blogs in market research and a discussion on how blogs can be used effectively in such studies.
Theoretical and Empirical Comparative Analysis on Quantitative and Qualitative Marketing Researches
Authors: Tarka Piotr , Kaczmarek Mirosława
Published: March 2015

This chapter focuses on the similarities and differences between quantitative and qualitative marketing research projects and the possibilities of combining them in triangulation. The comparative analysis of both types of the research was conducted on the basis of literature review and the empirical research results, which were obtained from the evaluation of usability of Polish bank website. In the following sections, the authors discuss issues such as: 1) specificity of quantitative vs. qualitative marketing research, with regards to the implemented research projects; 2) methodological aspects of quantitative and qualitative research. They compare the selected research and sampling methods. Also, the problems which may occur with reference to quantitative and qualitative marketing research triangulation on different stages of the research project are discussed. Moreover, strengths and weaknesses of triangulation are analyzed. At the end, the example of quantitative and qualitative triangulation in the research project investigating the usability of websites is presented.
Teamwork Assessment and Self/Peer Evaluation in Higher Education
Authors: Issa Tomayess
Published: March 2015

This chapter examines the challenges and opportunities associated with fostering students' learning skills through teamwork assessment and self/peer evaluation in the Business Technology 2 (BT2) undergraduate unit at an Australian university. This assessment will encourage students to promote skills in teamwork, communication (writing, interpersonal interaction and cultural awareness, and presenting), critical and creative thinking (problem-solving and solving and decision-making), Information Technology literacy, and information literacy, and is intended to increase their self-confidence in both their studies and in the future workforce. This chapter provides empirical evidence from 267 students, based on quantitative and qualitative data derived from two sources. The first consists of anonymous informal feedback collected during the semester, while the second (formal) source of students' evaluations and attitudes towards the BT2 unit and teaching is “eVALUate.” The students indicate that they are satisfied with this form of assessment as it assists them to develop specific skills and understandings, including time management, problem solving, decision-making, cultural awareness, oral presentation, communication, and meeting a deadline.
Power Electronics and Controls in Solar Photovoltaic Systems
Authors: Belu Radian
Published: March 2015

The use of renewable energy sources is increasingly being pursued as a supplemental and an alternative to traditional energy generation. Several distributed energy systems are expected to a have a significant impact on the energy industry in the near future. As such, the renewable energy systems are presently undergoing a rapid change in technology and use. Such a feature is enabled clearly by power electronics. Both the solar-thermal and photovoltaic (PV) technologies have an almost exponential growth in installed capacity and applications. Both of them contribute to the overall grid control and power electronics research and advancement. Among the renewable energy systems, photovoltaic (PV) systems are the ones that make use of an extended scale of the advanced power electronics technologies. The specification of a power electronics interface is subject to the requirements related not only to the renewable energy source itself but also to its effects on the operations of the systems on which it is connected, especially the ones where these intermittent energy sources constitute a significant part of the total system capacity. Power electronics can also play a significant role in enhancing the performance and efficiency of PV systems. Furthermore, the use of appropriate power electronics enables solar generated electricity to be integrated into power grid. Aside from improving the quality of solar panels themselves, power electronics can provide another means of improving energy efficiency in PV and solar-thermal energy systems.
QSAR of Antioxidants
Authors: Deeb Omar , Goodarzi Mohammad
Published: March 2015

Antioxidants are substances that protect cells from the damaging effects of oxygen radicals, which are chemicals that play a part in some diseases such as cancer and others. Antioxidants are expected to be promising drugs in the management of these diseases by removing oxidative stress. Most of the modeling approaches involved in designing new antioxidants is based on Quantitative Structure-Activity Relationship (QSAR). A number of QSAR studies have been conducted to elucidate the structural requirements of antioxidants for their activities in order to predict the potency of these compounds with regard to the targeted activity and to direct the synthesis of more potent analogues. The main focus of this chapter is on the QSAR modeling of antioxidant compounds. The authors provide different QSAR studies of antioxidant compounds and try to compare between them in terms of the best models obtained and their use in designing potential new drugs.
QSPR/QSAR Analyses by Means of the CORAL Software
Authors: Toropov Andrey A. , Toropova Alla P. , Benfenati Emilio , Nicolotti Orazio , Carotti Angelo , Nesmerak Karel , Veselinović Aleksandar M. , Veselinović Jovana B. , Duchowicz Pablo R. , Bacelo Daniel , Castro Eduardo A. , Rasulev Bakhtiyor F. , Leszczynska Danuta , Leszczynski Jerzy
Published: March 2015

In this chapter, the methodology of building up quantitative structure—property/activity relationships (QSPRs/QSARs)—by means of the CORAL software is described. The Monte Carlo method is the basis of this approach. Simplified Molecular Input-Line Entry System (SMILES) is used as the representation of the molecular structure. The conversion of SMILES into the molecular graph is available for QSPR/QSAR analysis using the CORAL software. The model for an endpoint is a mathematical function of the correlation weights for various features of the molecular structure. Hybrid models that are based on features extracted from both SMILES and a graph also can be built up by the CORAL software. The conceptually new ideas collected and revealed through the CORAL software are: (1) any QSPR/QSAR model is a random event; and (2) optimal descriptor can be a translator of eclectic information into an endpoint prediction.
Design of High-Rise Building’s Monitoring System for Electric Fire Base on CAN Bus
Authors: Sun Shi Wei , Liu Xin Tong , Liu Wei , Yang Qi
Published: March 2015

This paper accomplished a system of high-rise building’s fire monitoring system based on CAN bus. It is applied in avoiding the harm of leakage current , over current and short circuit, and protecting electric power distribution circuits and electrical equipment, thus to prevent the occurrence of electrical fire. The monitoring system can detect phase current signal and the leakage current signal, and can display real-time and alarm. It also can proceed network service and complete the distributed remote control and fault diagnosis. Practice shows that the system the characteristics of high precision, safe and reliable, low rate of false positives, easy operation and maintenance, etc .It can satisfy the demand of large high-rise building electrical fire.
A Dedicated Device Based on the Spatial Electric Field for Measuring Voltage of Catenary System
Authors: Song Jia , Zhang Xiao Dong , Sun Yue Jia
Published: March 2015

The traditional high-voltage electroscope is difficult to distinguish normal catenary voltage and induced voltage. In order to solve the problem, a method to measure high-voltage based on the effect of space electric field is proposed and a dedicated catenary voltage measuring device is made. The method follows divider effect of spatial capacitance and achieves quantitative voltage measurement without grounding by measuring and transforming the induced voltage difference of the capacitance which is placed between the catenary system and the earth and showing the actual catenary voltage value in LCD. The device can effectively distinguish catenary normal voltage and induced voltage, then reflects catenary real operation state. The field test results show the device meets the requirement of catenary voltage measurement.
A Novel Phase Modulation Accelerometer
Authors: Yang Ying , Li Xing Fei , Xiang Hong Biao
Published: March 2015

A novel phase modulation accelerometer based on self-mixing effect is presented. A quartz pendulous reed suspended by dual flexible beam is used as the first step sensing unit, which translates the acceleration signal to the displacement of quartz pendulous reed. The laser self-mixing interferometer reads out the displacement of quartz pendulous reed while the sensor experience acceleration. All-phase spectrum analysis is applied to detect the phase of self-mixing interference signals to reconstruct the acceleration. Finally, performances of the novel phase modulation accelerometer are measured by experiments. Experimental results indicate that the resolution of the acceleration sensor based on laser self-mixing interference can achieve sub micro-g. The phase modulation accelerometer has the potential to achieve high-precision, compact accelerometers.
Influence Study of Sheet Resistance Measurement Errors by Square Four Probes
Authors: Liu Xin Fu , Zhu Zhi Hui
Published: March 2015

The article analyses the principle of square four probe measurement technology. The principle of the probe vacillated at testing a large silicon wafer is analyzed, and interference can be avoided while measuring and analyzing the impact on square four probe measurement by probe vacillate. The influence of probe wavering using square four probe method for the equipment designed by authors is analyzed with detailed data, and calculated error of the probe wander. Probe positions of maximum error produced are found, so ensuring testing accuracy schemes are proposed at last.
The Research on Image Stability of Air Object Based on Camera on Vehicle
Authors: Zhang Jun
Published: March 2015

In tracking object by a camera, the jolting of the vehicle will increase the deviation of the skewing value of the air object in the image. a method of image stability based on digital inclinometer is presented in this paper. The incline angles caused by the jolting of the vehicle are measured by the angle sensor, and the incline angles are used to eliminate the object image deviation caused by jolting and to stabilize the object image. The method for acquiring the height of object by a single camera is also discussed in the paper during the process of extracting the image deviation. The extraction errors of the deviation are analyzed and simulated; the simulation results show the efficiency of the method.
Adaptive Tracking Control without Image Velocity Measurement
Authors: Ye Su , Ye Yu Tang , Liu Juan Xiu , Liu Lin , Du Chun Lei
Published: March 2015

This paper presents a adaptive controller for visual servoing systems to allow the tracking of a 2D reference trajectory without using image velocity measurements when the kinematics and dynamics parameters are uncertain. To avoid performance decaying caused by measurement errors of the image velocity, we proposed the adaptive controller, with which image velocity need not be directly measured. The first derivative of designed sliding mode vector is not affected by actual image speed. The parameter estimation of image position is used to replace the parameter estimation of image speed. We removed the filter structure in controller, which is used to predict the image velocity. The method makes the controller structure is simpler and more reliable, and reduces the difficulty of project implementation and tuning parameters. The asymptotic stability of the system is proved by using the Lyapunov’s method. Simulation results show that the SCARA robot end effector is able to converge to a desired trajectory.
Design of Automatically Picking-Up Table Tennis Based on OpenCV
Authors: Wang Xiao Long , Zhu Ling , Ma Hong Xing , Guo Xiao
Published: March 2015

In order to solve the problem of automatically picking up balls in table tennis competition and training, from the angle of machine vision, integrating embedded technology, image processing techniques, measurement and control techniques, etc. and based on the third party base OpenCV and Qt, we designed a automatically picking up table tennis system. Collect video signal through camera to have analysis and process and judge the position of table tennis, then control the trolley and manipulator to pick up the ball and send to the designated spot.
The Application of Aerospace Robot Based on Human-Machine Interactive Control Technology
Authors: Bian Yan , Zhao Li , Yang Geng Huang , Cui Shi Gang
Published: March 2015

As a new hot spot of robot, the research of aerospace robot has been developed rapidly. This paper presents a novel sensing system of aerospace robot based on human-machine interactive control technology. In order to establish the human-machine interactive interface, ten subjects’ biological signal features of electroencephalogram (EEG), electromyography (EMG) and voice were extracted quickly and accurately to discriminate the task and motion control for the aerospace robot. In the system, the multi-mode biological signals mentioned above were acquired by the biologic dry electrode sensor, then they were enlarged and analyzed by a microprocessor module based on AR model method. The simulation space experiments demonstrated the feasibility and accuracy of the aerospace robot control system which realized the multi-mode human-machine interactive interface. Obviously, this research explores a new way for astronaut working with aerospace robot in the outer space and it has great significance under some special environments.
The Research of Moving Target Detection and Tracking System Based on DM6437
Authors: Dong En Zeng , Yan Sheng Xu , Wei Kui Xiang
Published: March 2015

In order to enhance the rapidity and the accuracy of moving target detection and tracking, and improve the speed of the algorithm on the DSP (digital signal processor), an active visual tracking system was designed based on the gaussian mixture background model and Meanshift algorithm on DM6437. The system use the VLIB library developed by TI, and through the method of gaussian mixture background model to detect the moving objects and use the Meanshift tracking algorithm based on color features to track the target in RGB space. Finally, the system is tested on the hardware platform, and the system is verified to be quickness and accuracy.
Research on Data Management System for Live Detection
Authors: Chen Ying , Liao Hui Fen , Peng Qian , Wang Wei , Cao Yong Xing , Dai Ying Hong
Published: March 2015

In order to raise the efficiency of on-site live detection, we proposed a new study of live detection data management system which based piconet and Electric Power System Secure Access Platform(EPSSAP). Piconet of comprehensive multi professional testing equipments with Bluetooth technology is established to wireless acquisite field testing data. Using mobile APN secure access technology, secure communication between the intranet information system and PC power system is realized. Application of the platform will provide basis for a unified multiple data acquisition system, extend functions of intranet information system, such as data storage, information processing regulate the process of on-site live detection work and improve the efficiency of the use of live detection data.
Design of Water Heating and Temperature Control System Based on STC89C52
Authors: Wang Ting , Wang Hao
Published: March 2015

An intelligent system for water temperature control is designed in this paper based on STC89C52 single-chip microcomputer, in which temperature sensor DS18B20 is used to collect temperature data. This system adopts successive approximant algorithm and incremental PID control algorithm to change PWM pulse outputted by single-chip microcomputer and thus can realize heating and cooling function within a range between 30 °C and 100 °C as well as automatic control on constant temperature randomly set in the whole process. Result of experiments and tests indicated that this system can function stably, which can realize satisfactory control result and meet design requirements.
Implementation of Stepper Motor's S-Curve Trajectories Control
Authors: Sun Shou Mei , Wang Jing Hui
Published: March 2015

The paper presents a new s-curve trajectories control method of stepper motor with the analysis of some controlling graph. The authors construct a s-curve trajectories using two parabolic, get some speed points through discrete s-curve, then gradually update these points in motor control program. It makes the soft controlling of Stepper motor’s automatic rising and falling speed come true.
Optimal Control Strategies for Ice Storage System of Water Source Heat Pump
Authors: Zheng Wen Chao , Yang Jie , Hu Yu Jing
Published: March 2015

In order to overcome the limitations of single application of ice storage cold and water source heat pump technology, the organic combination of the two can “peak load shifting” and save the cost of system operating. It is important to know how to reasonably distribute the load, which makes the system run with minimum cost. By comparing the operating costs of several control strategies for ice storage system of water source heat pump in a CBD, the advantages of control strategies for dynamic load distribution is outstanding by comparing with the priority control strategies of chiller or ice storage.
The Design of Gate Value Controller
Authors: Mao Fu Xin , Yue Si Xuan , Hou Li Juan
Published: March 2015

The design is a gate value electric executive device which is based on Atmag32-MCU. It can choose different operating ways according to its own needs. And it adapts to the increment PID algorithm aiming to protect the devices, ensuring the control precision errors limited in 2 percent. The device has continent and swift man-machine interface, and just one person can manage a workshop easily. It is widely used in water supply and drainage of pipeline, heating, energy-station, chemistry, pharmaceutics, steel and so on. Many aspects are being included.
Research of Automobile Collision Avoidance System Based on Video Image Processing
Authors: Gao Jun , Zhu Hong Hui , Li Bin
Published: March 2015

In this paper, an automobile collision avoidance system based on video image processing is proposed for vehicle active safety. Firstly, considering the requirement of real-time system, FPGA is responsible for the core task of video image processing. In the process, this paper introduces an image segmentation algorithm to extract the Region of Interest, a fast median filtering algorithm and an improved adaptive threshold Ostu segmentation algorithm. Secondly, in the design of alarm system, we use the STM32 chip which is based on Cortex-M3 kernel as the embedded platform. Finally, in order to analyze the data obtained by image processing and make smart decisions on the embedded platform, we establish a double parameter alarm mechanism of automobile security model. It can help the drivers to take appropriate hedging measures. The system in this paper has the characteristics of low cost, real-time and high reliability. Through the debugging and experiments, the system has reached the expected effect and met the requirements of automobile collision avoidance system.
Adaptive Control and Synchronization of Uncertain Complex Networks
Authors: Jia Qian Qian
Published: March 2015

Recently, synchronization of complex networks has been a focus subject of technology fields. In this paper, we consider the adaptive control and synchronization of uncertain complex networks. By using the adaptive control techniques with the linear feedback updated law and the well-known invariant principle on dynamical system theory, some simple yet generic criteria are derived. Furthermore, the result is applied to typical chaotic cellular neural networks (CNN). Finally, numerical simulations are presented to demonstrate the feasibility and effectiveness of the proposed techniques.
The Harmonic Suppression Strategies and Efficiency Analysis of Electric Vehicle Induction Motor Drive System
Authors: Qin Gang , Zou Jian Xiao , Xin Xiao Shuai , Xu Hong Bing
Published: March 2015

The dead zone and voltage drop of inverter power switches make the currents in asynchronous motor drive system contain a large amount of harmonic. This aberration of currents waveform influences the efficiency of motor drive system. Aim at this problem, this paper proposes a harmonic injection method to eliminate the currents harmonic component when the motor is running, which improves currents waveform of motor and boosts efficiency of motor drive system. The effectiveness and real-time performance of this algorithm is verified via the simulation and the contrast experiment. Through the result of simulation, five times harmonic content decreased from 9% to 2%, the total harmonic distortion of voltage (THD) decreased from 6% to 2%, and efficiencyis increased from 98.99% to 99.95%.
The Internet of Things Coffee Vending Machine
Authors: Yang Zhen Lei , Zhao Ling Yun , Gu Liang Tian
Published: March 2015

In the paper the author put forward the design of the coffee vending machines based on the technology of internet of things and its remote management system, which is aiming at the present problems, such as the high administrative cost and the difficulties in data analysis. This design not only makes the sales and supply information available, it can survey this information into cloud corner through GPRS as well.
The Research of Multi-Axis Motor Control System Based on the Communication Technology of FP-X PLC and Inverters
Authors: Chen Xiang , Zhang Guo
Published: March 2015

We present a multi-axis motor speed control system based on the communication technology of FP-X PLC and VF0C inverter. The method is that change the three-phase input frequency of the motor to control the motor via the inverters. This paper presents PLC and inverters communication technology are used in electric drive systems, and explores PLC sent the commands to the inverters via the touchscreen and the RS485 port and write data to the drive to change its system parameters and output frequency to control the speed and state of the motor.
Research on the Model-Follow H-Inf Loop Shaping Control Based on the Simulated Annealing and Niche
Authors: Huang Yu , Ma Tian Li
Published: March 2015

The attitude control of unmanned helicopter builds the foundation for velocity and trajectory control. Based on the model-follow control system, a kind of attitude controller is desisgned combining loop shaping control method. The model is reduced by combination of direct decoupling and pode approximation and the inverse model is designed. The parameters of the weighting function are determined via seeking answers for a multi-objective optimization problem and an improved multi-objective optimization genetic algorithm is proposed. Simulated annealing algorithm is introduced to strengthen the capability of local research. An improved niche selection technology is raised and the distance among individuals is set as a dynamic function. The attitude control system of the unmanned helicopter is designed and the satisfied track result and robustness of the improved controller are verified via digital simulation.
Study on the MOESP Subspace Identification Method and its Simulation
Authors: Zhang Li , Xu Qing Yang , Bao Zeng Jun
Published: March 2015

A detailed description of the basic principles of MOESP subspace system identification methods is introduced. The extended state space equation which is formed by Hankel matrix is used in subspace identification, and then the augmented observation matrix and state space vector estimation are all got by SVD decomposition. The simulation results on a multi input/output system demonstrate the effectiveness and feasibility of the method.
A Big Data Application in Intelligent Transport Systems
Authors: Yu Hui Jun , Wang Zhi Gang , Liu Xiao Yan , Hu Dong
Published: March 2015

Intelligent Transport Systems (ITS) theory is developed nearly a dozen years which is focused on building integrated transportation system, its success will inevitably have a fundamental change in the way the current traffic works. ITS is a large complex system, with integrated multidisciplinary knowledge to implement. The paper explores a new way of integrating big data insights with automated and assisted processes related to ITS. We show how innovation from China Si Chuan Province Traffic Management Bureau under our big data implementation to improve their business performance. With the new big data algorithm, we could predict drivers' behavior, and ultimately understand which factors are influencing the most. The architecture and implementation is thoroughly introduced in the paper, and we point out the future extension in the end.
A Self-Management System Combined with Constructivist Theory
Authors: Liu Yao , Chen Mei Jun , Wang Xing Heng , Zhang Feng Hua
Published: March 2015

China’s higher education has now entered a new stage of popularization. For this reason, the students’ demands expecting to the university are multiple with diversity, complexity and personality. We designed a Self-management System Model and implemented a real application test system for East China Normal University, which is based on the constructivism and evaluation theory, and B/S architecture. This system can be used to record the students’ online performance and fully reveal the students’ personality and talents. This system also can be used to promote students’ individual development.
A Generation System of Intelligent Power Dispatching Operation Sheet
Authors: Chen Su Fang
Published: March 2015

This project uses modern control technology to reflect the actual work situation, the MAS model is constructed, the intelligence of power dispatching operation system (PDOS) is improved. By using this system, the security of the power net is enhanced, and the working stress of the staff is lightened. This paper analyzes and researches two different aspects of PDOS. On the one hand, a scheme of operating rules’ dynamic management is designed and implemented, which improves the flexibility of PDOS effectively. On the other hand, the PDOS is integrated with management information system (MIS) to realize the web-based broadcast of DOOS. The efficiency and applicability of this implementing scheme have been proved by practice.
A Rule-Based Opto-Electronic Detection and Target Recognition System
Authors: Zhong Jian Dan , Wu Qin Zhang , Peng Zhen Ming , Zhang Jin , Yao Guang Le
Published: March 2015

Opto-electronic detection and target recognition systems are widely used in the detection, monitoring, identification and other fields. In order to improve the flexibility and accuracy of this kind of system, we involved artificial intelligence technology into this area. As one of the most successful technology of artificial intelligence, expert systems (rule based systems) are widely used in industrial and intelligent control and other fields. This paper presents a general model of the rule based opto-electronic detection and object recognition systems. The model relies on the expert system tool—CLIPS which supports inference engine for reasoning. And a learning algorithm is used to generate the inference rules. In order to make the generated rules are easy to understand, decision tree algorithm was selected to apply in this general model. Finally, the model is applied to a vehicle identification test, a benchmark standard data-set from UCI machine learning repository was selected for this experiment. The experimental results show that the system has higher accuracy. Furthermore, this system is flexible for other target recognition as well, when the rules of relevant targets were added to this system.
The Application of the Fuzzy Cognitive Map among Intravenous Drug Users
Authors: Yu Qun Xiu , Zhang Shou Ming , Bi Gui Hong , Wei Chun Tao
Published: March 2015

This article carries on a research about spreading and imitating based on network modal of dynamic, complex and comparing various Agents. The Agent regarded as drug complex network nodes and combine Agent itself functions. Propose a dynamic complex network technology combined with Agent simulation model based on fuzzy cognitive map to study the spread of HIV. Using fuzzy cognitive map design with independent learning ability node agent based on personal emotion and cognition, agent considers the individual perception of the epidemic of surrounding environment, social discrimination, legal constraints strength, national testing and treatment, free needle exchange extrinsic and intrinsic factors in the environment of individual course, emotion, etc., Under the combined effect of individual values ​​derived drug fuzzy cognitive map. Develop individualized decision rules to circumvent virus. This article studied the impact of fuzzy cognitive and social discrimination and legal factors on HIV transmission.
Research on Dynamic Parking Space Allocation Model in Closed Parking Lot
Authors: Wang Qing Gang
Published: March 2015

This paper investigated Dynamic Parking Space Allocation Model (DPSAM), which is one of functional modules of On-line Parking Space Reservation System (OPSRS). In the model, the parking spaces were regarded as a two-dimensional parking resource pool of temporal and spatial components. An integer programming formulation was presented with the objective function of minimizing the discontinuous parking resources. The experiment was executed to compare the allocation solutions of optimization model and random allocation with the indicators of parking resource vacancy rate, parking resource sunk rate and parking demand satisfaction rate. The result shows that optimization model can improve the utilization efficiency of parking lot and is valuable for the application of OPSRS.
A Multi-Scale Modeling Method Based on Big Data
Authors: Liu Ji Wei
Published: March 2015

A multi-scale modeling method based on big data was proposed to establish neural network models for complex plant. Wavelet transform was used to decompose input and output parameters into different scales. The relationship between these parameters were researched in every scale. Then models in each scale were established and added together to form a multi-scale model. A model of coal mill current in power plant was established using the multi-scale modeling method based on big data. The result shows that, the method is effective.
Particle Filter Target Tracking Algorithm Based on the SIFT and Color Features Fusion
Authors: Liu Ming Hua , Wang Chuan Sheng , Wang Xian Lun
Published: March 2015

Aiming at the poor robustness problem of using single feature in the target tracking process, a novel tracking algorithm based on color and SIFT features fusion in particle filter framework is presented in complex environments. Color and SIFT features are selected to establish the target model according to their stability, The scale and rotation invariance of SIFT feature and resistance occlusion property of color feature has been fused in the particle filter framework adaptively. According to the dynamic change of the tracking scene, the fusion weights is updated adaptively. Experimental results show the proposed method can track target robustly under complex scene in real-time performance.
Research of MES Scheduling Strategy Based on Hypercube Paths Link Algorithm
Authors: Luo Yu , Long Wei , Lin Si Jian , Huang Jiang
Published: March 2015

According to the characteristics of multi-targets, multi-constraints, and solving difficulties in the aviation manufacturing production planning, the hypercube paths link algorithm based on the basic unit is proposed which is judged by the input and output. A simplified scheduling model is proposed to solve the real-time dynamic link path, which could improve the agility of the organization form of the workshop, and provide a new algorithm for the MES production scheduling. Finally ,the feasibility is verified by an algorithm example.
Study on the Prediction Meth of Automobile Braking Distance Based on Artificial Neural Network
Authors: Ye Pei , Zhang Xiu Mei , Jiang Tao
Published: March 2015

The automobile braking distance is one of the important indexes to measure the brake performance, so the study of automobile braking distance is very important. Domestic and foreign scholars research on automobile brake performance and braking distance, and achieved fruitful results, but there are only little research on the braking distance predicting of the car. In the paper, the process of automobile braking, effect of the braking distance, the influence factors and the road adhesion coefficient are studied. In the paper, it also discussed the effective methods to calculate the braking distance. On these basses, the author puts forward the prediction model of automobile braking distance with artificial neural network method. In this model, the author takes the running state and parameters of the car as samples for the input and output. After training, the author gets the curing prediction model based on each layer of network weights and threshold of the neural network.
Successive Over-Relaxation Method Based on PSO
Authors: Tang Liang , Wang Zhi Chao , Gao Lei
Published: March 2015

To solve large linear equations using SOR method, the most important thing is to ascertain relaxation factor. Considering current methods can not get the factor from global aspect, iteration times become larger and speed become slower. We pose a method to fix optimal factor using global search quality, genetic operational quality and compare the factor value obtaining from PSO algorithm and genetic algorithm, parabolic method. As a result, it shows that it is easier for PSO method to get optimal value than genetic and parabolic method from simulation result. PSO algorithm has huge advantage on solving global optimal problems. It is definite that PSO algorithm has great advantage then other methods and this method, and another advantage is it’s feasibility and convenience.
One-Step Weights Updating Back-Propagation Neural Network for Nonlinear System Identification
Authors: Yang Yang
Published: March 2015

Given that many filters such as least mean squares and recursive least squares which are not able to deal with nonlinear system. In this paper, a nonlinear system identification technique using a specially designed neural network is investigated. Precisely, a power-activated back-propagation neural network is first constructed. Then, a high efficient weights updating method which only requires one-step iteration in its training session is presented. The system identification performance is evaluated through MATLAB simulations. The simulation results validate the one-step weights updating method and show satisfactory nonlinear system identification performance.
Statistical Analysis of the Magnetic Resonance Transmit Radiofrequency Field by the Saturated Turbo FLASH Method
Authors: Zhang Qiao Fu , Hu Xiao Qing , Zhu Yan Jie , Li Ye
Published: March 2015

The error propagation theory and Monte Carlo simulations were employed to quantitatively evaluate the robustness of the saturated Turbo FLASH (Fast Low Angle SHot, satTFL) method. The uncertainty and probability density function (PDF) of the satTFL were derived. An out-of-phase method was introduced to correct flip angles larger than 90 degrees. Monte Carlo simulations were implemented to estimate the impact of Gaussian white noises in the image domain and thus the sensitivity could be visualized for different flip angles and signal to noise ratios (SNRs). The uncertainty, Monte Carlo simulations and experiments show that the satTFL is more precise for flip angles around 90 degrees.
Improving Image Retrieval Using the Context-Aware Saliency Areas
Authors: Fan Deng Ping , Wang Juan , Liang Xue Mei
Published: March 2015

The Context-Aware Saliency (CA) model—is a new model used for saliency detection—has strong limitations: It is very time consuming. This paper improved the shortcoming of this model namely Fast-CA and proposed a novel framework for image retrieval and image representation. The proposed framework derives from Fast-CA and multi-texton histogram. And the mechanisms of visual attention are simulated and used to detect saliency areas of an image. Furthermore, a very simple threshold method is adopted to detect the dominant saliency areas. Color, texture and edge features are further extracted to describe image content within the dominant saliency areas, and then those features are integrated into one entity as image representation, where image representation is so called the dominant saliency areas histogram (DSAH) and used for image retrieval. Experimental results indicate that our algorithm outperform multi-texton histogram (MTH) and edge histogram descriptors (EHD) on Corel dataset with 10000 natural images.