Earticle

In the paper, a class of complex dynamical network with non-delayed and delayed coupling is investigated. Then the problem of synchronization stability analysis for the complex dynamical network is further discussed. Taking advantage of linear matrix inequalities (LMI), a novel Lyapunov function is constructed. And then a new general stability criterion is proposed of synchronization state in the complex dynamical networks. Finally, numerical simulations are provided to show the effectiveness and feasibility of the proposed theorem.

As the methods using UAV (unmanned aerial vehicles) are being sought in multipurpose surveillance and monitoring technologies such as saving lives, the collection of weather information, forest fire prevention, etc, active research has also been under progress in various areas. In this paper a miniature UAV was used to provide an image processing system of the structure cracks situational awareness for the safety inspection of the structure. With the structures for seasonal changes greatly depending on the time each day, the problem is a difficulty in checking for damage. Using a context-aware image processing system for the images are suspected of having cracks, it is possible to find out whether the structure gets damaged and take an immediate action if necessary. Ultimately, it could contribute to risk reduction. A context-aware crack image processing system processes the image that seems to have cracks and analyzes the data sent by a number of sensors, so as to establish an optimal condition. Then the proposed system provides an appropriate service that deals with the situation autonomously. The proposed system enables to accurately detect the defects occurring at the surface of facility and contributes to saving of time and efforts effectively.

Path planning for the mobile robot is to find a shortest obstacle free path from the starting position to the target position. Ant colony optimization method is frequently used to obtain the optimal path in the static known environment. But local minimum and slow convergence are the main problems of ant colony algorithm. This paper proposes a modified ant colony algorithm for path planning of the mobile robot in a known static environment. The modified ant colony algorithm can enlarge the searching range so that the local minimum problem can be weakened, while the algorithm can also converge quickly. And in the optimal path searching process, the turning factor is considered, too. The obtained optimal path has not only short distance, but also few big turning positions. Simulations are done to verify the proposed modified ant colony algorithm.

This paper aims to propose a brake unit driven by magnetorheological fluid together with shape memory alloy, based on the shape memory effect of shape memory alloy under thermal effect and the rheological behavior of magnetorheological fluid. The Bingham model is used to describe the constitutive characteristics of magnetorheological fluid subject to an applied magnetic field to derive the braking torque equation of brake induced by magnetorheological fluid. Based on the shape memory effect, the relationships of the shape memory alloy spring’s output force with the temperature, the geometric parameters, the material parameters and the operating load is established to derive the braking torque equation of brake induced by shape memory alloy. The expression of the braking time is obtained from the torque-equilibrium equation of the braked shaft. The results indicate that the output force of the shape memory alloy spring can change rapidly with the temperature. The braking torque developed by shape memory alloy is increased with the increase of temperature. With the increase of the applied magnetic field strength, the braking torque developed by magnetorheological fluids goes up rapidly, and the braking time is shortened.

This paper proposes a new single phase variable structure control (SPVSC) for mismatched uncertain systems. A new sliding mode without reaching phase is designed to address two most important problems in the variable structure control area: 1) the system states are in sliding mode at the initial time movement; and 2) using only output variables directly. First, a new sufficient condition in terms of linear matrix inequality is derived such that the existence of a sliding surface guarantees asymptotic stability of the sliding mode dynamics from the initial time instant. Second, a static output feedback SPVSC law is designed to force the system states to stay in the sliding surface from beginning to end. Final, the lateral motion of a B-26 aircraft is simulated to demonstrate the advantages and effectiveness of the proposed SPVSC scheme.

In this paper, the state space model of high speed train is established to describe its nonlinear dynamic characteristics, whose parameters are disturbed by noise with an arbitrary distribution, and an online state and parameter identification method is proposed based on a parameters set by employing Bayesian theory and Particle Filter (PF). Firstly, the priori probabilities of all of the possible parameters are set to be equal, and the predicted states with different parameters are estimated using PF. Then the posterior probabilities of the parameters are updated by analyzing the characteristic of the measurement noise using Bayesian theory. Finally, the system sate and parameter are estimated by weighted summing all of the parameters and predicted states. The simulation results indicate that the proposed method can estimate the states and parameters of high speed train online and adaptively.

Electronic Chart Display & Information System(ECDIS) is has a limitation in expressing various navigational route data and falls short of productivity as it had been frozen to prevent from being changed for a long time. Also, it cannot satisfy requirements for high tech such as lattice structure data and time series information. The current sea route sign system based on an electronic marine chart only has a data manufacture specification for uses at ECDIS. Therefore, it has a limitation in expressing various sea route data and falls short of productivity as it is frozen to prevent being changed for a long time. Also, it cannot satisfy requirements from high tech such as lattice structure data and time series information. Currently, although it builds each independent operation system based S-57, it has been found that it is the most important requirement from consumers that the entire monitoring system can mutually interwork by standardizing and uniting formats of all protocols. In addition, current status information and alarm system is using Automatic Identification System(AIS), Trunked Radio Service(TRS), Wideband Code Division Multiple Access(WCDMA) telecommunication and processing all the data after saving it into each different server. In this thesis, we will realize the status information and alarm system of Marine transportation facilities which is a sea route sign system based on S-63 electronic marine chart, S/W, after uniting each different protocol and making combined system.

Based on the analysis of on the dynamic mathematical model of double-fed wind turbines, exact non-linear state feedback linearization control method is adopted to design the control strategy of the LVRT (low voltage ride-through). Firstly, we select the output functions according to control target, and formulate the nonlinear system including input and output. Then, by using linearization the state feedback and using proper coordinate transforming, we convert this nonlinear system to the linear and controllable system. Finally, we finish the control strategy of the control system through the optimized linear control strategy. This control strategy only depend on the parameters of the wind turbines, and strengthen the robust of the parameters of control strategies.

Stereo matching is to obtain disparity map from two or more images whose pixels existing disparity between each other. Aim at the difficulty of meeting both accuracy and speed when using the adaptive support-weight algorithm, an improved adaptive support-weight sparse region-based algorithm accorded with HVS is proposed. First, improve the traditional support-weight formula, and the support-weight of the points can be calculated according to the improved support-weight formula. Second, the dense disparity map is obtained by sparse region-based matching. Third, left-right consistency check and blocking filling is performed for the obtained disparity map. Finally, median filter is used to remove isolated mismatching points and noise points. Experiment results show that, using the presented method, the matching efficiency is above 90 times faster than that of the adaptive support-weight algorithm proposed by Yoon; and the matching accuracy is 12.34% higher than that of SSD. So the improved algorithm is verified for obtaining accurate disparity map fast and meeting the requirements of system practicability.

The aim of this project is to achieve a precise temperature control of boiler and it can be done by fuzzy logic controller. Fuzzy logic controller is computer generated and is easy to implement. Fuzzy logic controller being more efficient than other conventional controllers provide us with better and accurate results. MatLab simulation and Labview experimental results clearly show the amount of overshoot and settling time are modest, it also makes the boiler cost effective by achieving the target temperature in less time.

This paper used the power bond graph method to establish hydraulic system dynamic model for Jet deflector, and derived the equation of state. Simulation of the dynamic characteristics of the hydraulic system is achieved in Matlab/Simulink environment. The delivery pressure of hydraulic pump, the hydraulic cylinder without rod gun pressure, the piston rod speed and other parameters on the dynamic response of the system were analyzed. The simulation results show that the power bond graph method has characteristics of convenient, intuitive and accurate to model and simulate the hydraulic system.

In present medical practice, infusion is an important and widely adopted treatment method. During the infusion process, the dripping speed of infusion is a significant parameter. In this paper, an intelligent infusion system is introduced, which is provided with dripping speed remote setting and abnormal situation alarm function. Through the application of fuzzy-PID control with auto-adjusted factors, the control of dripping speed is achieved. ZigBee and Wi-Fi construct a wireless network, therefore medical staff can set the dripping speed by making use of mobile terminals and meanwhile, the dripping speed is displayed on mobile terminals for nurses' reference. The test results indicate the following characteristics of the intelligent infusion system, such as fast response and high accuracy. Besides, the results also prove that the intelligent infusion system achieves the objective of reducing medical staff’s workload and improving patients’ safety.

To provide secure authentication for wireless body area networks (WBANs), recently Mtonga proposed a scheme based on identity-based cryptography, bilinear pairing and non-interactive identity-based key agreement scheme. He argued that his scheme provides authenticated key agreement, privacy preservation and authenticity, integrity and freshness of transmitted health messages. Unfortunately, this paper provides security remarks on Mtonga’s scheme focused on lack of integrity provision, lack of untraceability and masquerading attack feasibility. They are very important aspects in a system’s required security and privacy features. Furthermore, this paper provides simple directions of the counterpart’s solutions on them.

This paper considers a two-echelon supply chain including one manufacturer and one retailer will be considered. In the supply chain, the retailer plays the dominant role. In consideration of various factors of uncertainty in the real economy, the market demand function, the manufacturer’s manufacturing cost, and retailer’s operating costs are considered as fuzzy variables. Stackelberg model is adopted to solve the game problem between retailers and manufacturers. The expected value model and the chance constrained model are introduced to solve the optimal decision problem. The optimal wholesale price and marginal profit per unit of each model that are at equilibrium are provided to obtain the maximum profit of retailers and manufacturers. Finally, a numerical example illustrates the effectiveness of the supply chain game model.

In this paper, we have done analysis of ten different counters in term of frequency related to high performance and power dissipation related to energy efficiency. Conserving energy is now a days a very important aspect. In order to conserve energy consumption of our design, we are using dynamic frequency scaling with default LVCMOS18 IO Standard technique which plays a very important role in power saving. Our design is capable to operate with 1 THz frequency that deliver high performance in less time i.e. 1 pico second. Among 10 different counters, 8 bit simple up counter provide maximum reduction in total power that is 84.25% and 98.33% between a frequency range of 1GHz to 10GHz and 1 GHz to 100 GHz respectively.

This paper found the deficiency of classical Z-N method in optimization of PID parameters, proposed the intelligent optimization algorithm of PID parameters .The stimulation and experiment showed that the PID parameters getting from this algorithm are efficient, accurate and speedy. This paper used algorithm for hydraulic control system of jumbolter. The stimulation and experiment showed that when peak oil pressure of relief chamber is changed, optimum algorithm will find suitable and based on MAX power requirement to change displacement of relief surface, which lead to changing displacement of impact piston, at the same time, it will change the impact power and frequency of impactor, and realize impactor auto change working parameters based on the different situation under suitable parameters and MAX power working condition. The experiments show that it has a certain reference value for other control objects and control process.

Use of computer aided process planning in CNC machining of spiral bevel gear, not only can improve overall parts manufacturing level, but also can greatly improve the quality of the products, by the driving bevel gear, planning process of driven bevel gear and the assembly process, understanding calculation computer aided process design can improve the work efficiency, accelerate the market response speed, shorten technical preparation cycle. At the same time, promote the standardization of the construction process, improve the process design. Optimizing design process, promote technological progress. Will bring greater social and economic benefits.

Hyperthermia is the name given to the technique involving selective heating of magnetic particles using high frequency magnetic field. The present paper uses the fact that tumor in the affected area can be removed by heating it up to temperatures, in range of 41ᵒC - 46ᵒC. We propose the power range of 2.75W - 6.5W applied to the magnetic nanoparticles up to time intervals till 10 seconds for a tumor with diameter up to 5cm for its removal. Temperature in the affected area has been studied as a function of magnetic nanoparticle diameter, exposure time of nanoparticles by alternating magnetic field and power.

The bending control in archwire-bending process is critical to the orthodontic archwire bending robot. In order to improve the manual bending efficiency and increase forming precision of angle and displacement of orthodontic archwire, the control system of the orthodontic archwire bending robot is designed in this paper. Software and Hardware are design of the orthodontic archwire bending Robot based on LabVIEW and ATmega2560. This system has special characteristic of simplicity of operator, high running speed, high automated level and high reliability.

This paper presents the transient stability enhancement of power transmission system with Static Var Compensator (SVC) by adopting immersion and invariant (I&I) methodology in designing SVC adaptive controller. The controlled system is a single machine infinite bus (SMIB) system with uncertain parameters: damping coefficient, mechanical power, generator rotor angle and line impedance. In the proposed SVC controller, a deduced-order target system is first defined and the dynamics of the controlled system will be “immersed” into it based on I&I stabilization. The proposed SVC controller is then made adaptive by designing adaptive update laws based on adaptive sliding-mode observer to identify the uncertain parameters. The simulation results demonstrate the effectiveness of the proposed SVC adaptive controller.

In the work the energy efficient and thermal aware single-port RAM has been designed to make it more energy efficient using 28 nm Kintex-7 at ambient temperature of 25 ◦C design tool used is Xilinx 14.2 ISE. Frequency scaling approach has been taken to design energy and power efficient RAM. It is done by scaling frequencies from 50GHz to 200 GHz and calculating the Leakage Power, Quiescent Power as well as the Junction Temperature of Single–Port RAM. Leakage Power has been reduced to the range of 9.411% to 3.52%by Frequency Scaling technique, Quiescent Power Consumption in the range 9.33% to 4.00% and Junction Temperature range from 9.39% to 3.33%, IO Power consumption in range of 45.75% to 15.266% for 50GHz frequency and so on, which makes RAM Design energy efficient and thermal aware.

Aiming at the problem that the fixed working envelope can not always satisfy the study and experiment requirements, the study has developed a 5-DOF series-parallel robot with an adjustable working envelope based on the 3-PRS mechanism. The robot system is composed of an electric hardware subsystem, a mechanical subsystem and a control system subsystem. The architecture of the robot is introduced firstly. The key components and parts of the electric hardware and mechanical component are presented secondly. The robot system adopts the open architecture mode based on the computer and the motion controller, which provides sufficient convenience for experiments at different levels. Then the control software design method is presented. And many high-level programming languages and Integrated Development Environments can be used separately or together, and even other engineering software packages can be made full use of. Finally, an experiment is presented to verify the developed robot prototype, and that shows its correctness, reliability and convenience.

The algae bloom in river has been issued in Korea. In order to alleviate treatment load of water treatment plant and to meet water treatment capacity of the plant, a high-speed algae pretreatment methods connected with water intake pipe are required. In this study, a pilot-scale of pretreatment system was tested. It was consisted of coagulation and electro flotation processes. The algae pretreatment efficiency by the comparisons of chlorophyll-a, nutrients (total nitrogen, total phosphorous), and chemical oxygen demand (COD) concentration was evaluated. As a result, the system showed about 45% of removal efficiency by the only flotation separation without coagulation judged by chlorophyll-a concentration. On the other hand, the removal efficiency was improved with increase of coagulant dosage and electric power. It was improved to about 80% of chlorophyll-a concentration. The system could treat algae containing solution within a few minutes on the basis of residence time of flotation tank. Consequently, this study suggests that the system could be used as an algae pretreatment step in water treatment process.

A new type of high precision digital star simulator was designed for the requirement of the application. The star simulator is a device used to test and correct the defect and spatial resolution. For this device, a compact structure of mechanical and electrical integration was designed for the optical system of the star simulator. The new-type white light X Lamp LED was used as the light source and the constant current source control system based on PWM was applied to control luminance of the light, which makes it possible for the digital subdivision control between the light intensity of 640~1.0 lux. Compared with the halogen lamp, the weaknesses of large volume, high heat leak and low precision is avoided by using LED light source. As shown in the test, the result indicated that the star simulator designed in this paper was compact, reasonable and easy to control. The simulated apparent magnitude can be reached between 0m~7m, and the spectral range can cover the whole visible light and the control precision can reach ±0.1m.

In this paper, a PD control algorithm based on fuzzy logic dead compensation has been proposed. The fuzzy logic dead zone compensator was used to compensate the dead zone which existed in the mechanical system, PD control scheme was used to control trajectory of the joints of robot, so that the stability and robustness can be improved. In order to verify the validity of the control algorithm, we realized the proposed adaptive control strategy in MATLAB. The simulation results has revealed that:comparing with the traditional PD control scheme, the proposed PD control algorithm based on fuzzy logic dead compensation can effectively compensate the dead zone which existed in the mechanical system, also the position tracking performance and precision of the manipulator has been enhanced.

Smart grid is defined as an advanced power grid for more effectively managing the dynamic power flow and demand and for enhancing the reliability and efficiency of grid. The key technique of smart grid is the convergence to the information network. The generated and transmitted information from each grid parts makes it possible to achieve the benefit of smart grid. But, the burden for implementing the smart grid information network is raised up for monitoring more complicated grid environments. In this paper, it is discussed how to design the secure smart grid information network considering the environmental change of grids. Firstly, the problem for the smart grid information network implementation is formulated with an example of Jeju smart grid test-bed in Korea, and also indicated the requirements for the information network for smart grid. The smart grid information network design strategies are suggested for supporting the reliable and efficient grid operation considering that.

Virtual axis machine tool is widely used in the machining process of complicated curved surface, pointing on the uncertain factors that exists in the virtual axis machine tool system will affect the process accuracy of the virtual axis machine tool, also take the problem that the upper bound of the interference of the actual system are unable to be measured into considering, in this paper, a sliding model control scheme with upper bound adaptive learning based on RBF networks, and the proposed scheme is realized in the MATLAB platform. The simulation results revealed that compared with the traditional sliding model control, the proposed control algorithm has the good performance on position tracking, the error upper bound prediction, chattering reducing, fasting convergence and so forth.

This paper firstly performs literature reviews on concepts, theories related to industry cluster and man-machine engineering of special machine-tool system in the research, finds the research method in this article and elaborates on it. Secondly, common elements and specific elements influencing man-machine engineering of special machine-tool system in machine-tool industry are summarized through the research and study of the innovation situation of Shenyang machine-tool city. Indices system for evaluating the man-machine engineering of special machine-tool system is built by referring to the framework for measuring enterprise's innovation in Oslo Manual. After that, questionnaire is designed based on the built index system and field research and in-depth interview are carried out to collect data needed. The method of ANP is used to measure the man-machine engineering of special machine-tool system in Shenyang machine-tool city, its evaluation value is obtained, the in-depth analysis of evaluation value is conducted using the evaluation criteria built to ultimately draw the following conclusions.

The problem of Multi-UAV cooperative air combat task assignment is a hot research issue in the field of UAV at present. This paper presents a new method of multi-UAV cooperative air combat task allocation. Firstly, the capability function and Jacobian matrix of UAV are established, and then the calculation method of multi-UAVs cooperative combat position is presented. After that, through analyzing the air combat situation of the UAV and the combat earnings of the combat position, the model of multi-UAV cooperative air combat task allocation is established, and a new method for multi-UAV cooperative air combat task allocation is presented. Finally, the simulation experiment is conducted, the result of simulation shows that the method that considering multi-UAVs cooperative task allocation capabilities gets more profit and damage efficiency of the targets, and improves the capability of multi-UAVs cooperative combat, which compared with the collaborative capability is not considered.