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This paper extends the study of Mathirajan et al. (Minimizing total weighted tardiness on a batch-processing machine with non-agreeable release times and due dates. Int. J. Adv. Manuf. Technol., 2010, doi: 10.1007/s00170-009-2342-y) to parallel batch-processing machine problems because these have not been examined to date. For the problem concerning compatible product families, job release times, non-identical job sizes, and varying machine capacities, we propose a mixed integer programming (MIP) model, and a number of simple dispatch-based heuristic and simulated annealing (SA) algorithms. Computational results revealed that the proposed SA is capable of obtaining similar solutions acquired by MIP within a short time. The SA algorithms outperform other heuristic algorithms with respect to solution quality.

We present a new method to accurately tracking persons indoors by active RFID technology. To deal with nonlinear measurement model, the EKF(extended Kalman filter) is used to estimate the target trajectory. This paper developed the fusion estimation algorithm for the common indoor tracking problem with the reader at any location and fusion estimation with variable number of multi-sensor system. Simulations show the algorithm developed here can adaptively adjust the model parameter while tracking and obtain good estimation performance for indoor RFID tracking.

In order to improve the treatment efficiency of the constrained layer damping (CLD), it is meaningful to have a study on its layout optimization. This paper based on current research of Cellular Automata (CA) algorithm for CLD optimization, points out that the current application of CA algorithm is less efficient, considering that adding or deleting a single CLD patch almost does no change to the entire structure, then makes a simplification and modification of CA algorithm. With the aim at improving the structural modal loss factor, this paper uses the current CA algorithm and its modified algorithm to optimize a partial CLD plate. The results have shown that the modified CA algorithm for CLD optimization can not only substantially increase computing efficiency, but to some extent, improve the optimization effectiveness.

This paper presented a novel approach to solving the problem of robot avoidance collision planning. A Learning Classifier System is a accuracy-based machine learning system using gradient descent that combines covering operator and genetic algorithm. The covering operator is responsible for adjusting precision and large search space according to some reward obtained from the environment. The genetic algorithm acts as an innovation discovery component which is responsible for discovering new better path planning rules. The advantages of this approach are its accuracy-based representation, that can be easily reduce learning space,online learning ability,robustness due to the use of genetic algorithm.

Offline programming requires a good accuracy of the manipulators. The solution to the problem is to use a feedback mechanism to minimize the error. But, the real coordinate of the robot can be achieved with a measurement system. With this system the robot is calibrated and therefore errors are minimized. In this paper, an overview on some calibration methods used to reduce positioning and orientation errors of the end-effector are discussed. A set of methods are using a laser tracker for the measurements and the other methods are based on computer vision.

The NOSQL database to support data and high concurrent read and write,scalability and high availability features in a distributed storage system which has been applied widely. In this paper, through the research of load balancing in distributed storage system,and it proposes the consistent hashing algorithm and the virtual node strategy, in order to improve the load balancing of the system and increase the cache hit ratio. For the load balancing principle of NOSQL and SQL Server, analysis and comparison of the experimental data.The result shows that, with the increase of the number of virtual nodes, the cache hit ratio of NOSQL is higher than the cache hit ratio of SQL Server.

Some common criteria for predicting the plastic failure of geomaterials, including the Mohr-Coulomb model, can be represented as conic constraints. Thus, by formulating finite element limit analysis (FELA) problems with such materials as second-order cone programs (SOCPs), solutions to small-and medium-scale problems are readily obtained using current state-of-the-art optimisation software that are based on polynomially-bounded interior-point methods (IPMs). Unfortunately, when progressing to large-scale 2D and 3D problems, these schemes often struggle with the increased computational burden of obtaining a search direction at each iteration of the IPM using conventional direct solvers that implement some form of Gaussian elimination. In this paper, current conic optimisation software is compared for some medium and large-sized FELA problems. Additionally, a scheme which avoids the factorisation of large linear systems, through the use of a Krylov subspace solver, is developed and compared to existing software.

Emergency communication refers to the appearance of natural or man-made sudden emergencies, which comprehensively use various communication resources to guarantee the emergency rescue and necessary communication. Emergency communication system requires not only mobile, but also rapid response and wide range. According to these requirements, the paper establishes a process model based on Object-oriented Petri net. The application shows that the model can be used to conveniently describe the dynamic and uncertainty characteristics of emergency communication tasks, which can reduce the complexity of process organization and provide the conditions for fast restructuring and integrating functions of module tasks.

Nowadays, face recognition has the rapid development with more in-depth study and more achievements. Many achievements have been applied in different fields which improves that the study of face recognition is valuable and meaningful. In this paper, a face recognition system based on the video stream is implemented. And the face recognition system consists of the following modules: face adding module, face recognition module, information querying module and global settings module. Among the all modules, face recognition modules is the core of the whole system in which completes the most of the work of the whole system. In practice, the results of the system are valuable and the system is able to meet the requirements of some applications.

The WIA industrial wireless network which based on IEEE802.15.4 standard. The network will produce some network conflicts and data loss phenomenon with the expansion of network scope and the increasing of amount of data in the network. In view of this kind of phenomenon. This paper introduces a abinary exponential backoff algorithm. We establish experimental model to simulation analysis. We obtained simulation model under the condition of stable network. It can reduce the probability of collision between nodes when the node sends data packets to the other node.

This paper presents a fast local stereo algorithm that suitable to real time applications. Thanks to the techniques like Box-filtering, fixed-window-based stereo matching algorithms can be really fast, but perform not well in some areas, i.e. the repetitive pattern and low texture areas. In order to improve the reliability of fixed-window algorithm and keep the algorithms speed, the proposed approach can deal with the repetitive pattern and low texture areas at a small computational cost. Experimental results show that the proposed approach provides a big improvement in accuracy compare to fixed-window algorithm, and the speed of the algorithm is still fast.

The main propulsion plant (MPP) on marine sea-going ships consisting of a diesel engine as the main engine and driving the ship propeller is with the torsional vibrations to be calculated in accordance with the Rules for the Classification and Construction of Sea-Going Ships. The Rules are given by one of maritime registers in the world that are the members of IACS, such as Russian Maritime Register of Shipping (RMR), DNV, ABS, at el. The TV calculation (TVC) on the MPP usually is certainly a monumental calculation task and is conducted with special software for TVC. Nowadays, in accordance with the Rules, almost modern software products for TVC have the abilities to calculate the TVs at normal working regimes and at misfire regimes (called by Normal or Misfire regimes relatively) with only one of cylinders of marine diesel engine (MDE) while engine speed range covers from the minimum to maximum values of the operation speeds. The paper presents improved algorithms and software for automatic calculating the TVs (SATVC) at the Normal and the Misfire regimes, in which the misfiring processes appear not only in one cylinder, but also in two of the MDE cylinders together. The SATVC was based on the made mathematical models, algorithms and coded in LabView by authors. The SATVC consists of modules for automatic calculation of freedom TVs (FTVs), excited torsional moments (ETM), excited TVs (ETVs), permitted torsional pressures (PTP), and common management (CTVC). TVC at every working regime of MDE was automatically conducted in the following procedure: Configuration of the MPP for TVC; Calculation of FTVs; Calculation of ETM; Calculation of ETVs); Calculation of ETVs, and solution of the TVC in considered working regime. The working regime of MDE was modeled by a vector of firing coefficients (VFC) of every MDE cylinder.

This paper presents the research of model-base design and control of Remotely Operated Vehicle (ROV) built in VietNam Automation & Mechatronics Laboratory (VIAMLAB). This is one of the most important types of underwater robots used in water environments for many purposes, especially for navy and marine industries. The design keeps our tethered ROV self-stabilized in the horizontal plane. It is also equipped with thrusters and sensor feedbacks, allowing 6 degrees-of-freedom motion. Moreover, cameras and grabber integrated into ROV support underwater survey tasks. In addition, the paper also simulates controllers with the main task of keeping depth for ROV. The controllers designed and surveyed here include: PID, optimal control (LQR), standard model control (MRAC) and combination controller between LQR and MRAC. The performance of the algorithm will be evaluated through simulation results using Matlab / Simulink.

This paper presents modeling and simulation of spring-mass damper system for quarter car in the Simulink environment. The simulations in this research have been carried out by using the Simulink of Matlab. The parameters in the simulation model for the suspension system under study include car body mass, wheel mass, spring and damping elements of shock absorber, and tire. A road disturbance profile comprising a combination of two sinusoidal curves is modeled. Controllers that are used in this study are the proposed fuzzy logic controller. The purpose of this research is to improve vehicle comfort using the Fuzzy Logic Controller (FLC). The simulation results of the system perform well fulfill the minimum percentage requirements and fast stability time, provide good leveling of stability and ride comfort.

Agriculture is one of the key sectors of Vietnam economy as well as most country in the world. Nowadays, the urgent requirement for it is an increase in production, quality of labor and labor productivity. Therefore, we researched and built self-propelled robot serving in agriculture. This promises to be one of the pioneer products with application of science and technology to modernize agriculture in our country. The robot is based on combining two main components: Automatic guided vehicle (AGV) and Delta robot with different specific tasks. Being an AGV, robot can locate and automatically move in the field without human intervention. Besides, the Delta robot is the main structure impacting directly on the field such as: watering, weeding, fertilizing, … depending on our need.This paper focuses on analyzing 3 major sections: the overall design of robot, control algorithms and computer vision programs. The System Overview helps readers have an overview of the shape and operation of robot. The control algorithm focuses on control algorithm analysis of Delta robot. And the last part introduces the computer vision programs used in Robot.The experimental results are evaluated objectively, so we can see both of the successes and the limitations. But in general, with the task set out in the subject: identifying and following vegetable rows in combination with identifying and moving the robot arm to the target need to be impacted, the robot has done very well and the results are within acceptable errors.

This paper proposes a method of using the B-spline mathematical model to plan high smoothness curve trajectories with heading condition through given waypoints for autonomous underwater vehicles (AUVs) in particular and ships with rudder systems in general. In addition, this paper examines some of the physical limitations of this vehicle, which lead to some binding conditions of the trajectory. Besides, the paper applies B-spline approximation method to reduce the curvature of the trajectory, when waypoints are too close and we do not need to go through exactly these waypoints in the 2D plane. Finally, this paper also proposes the genetic algorithm application with some modifications to solve the optimization of B-spline path length with constraint in turning radius of the vehicle.

Nowadays, 3D printing technology is the national theme in Vietnam. Most countries have national strategies in research and development and widely apply 3D design and printing to all industries, organizations and people. 3D printing technology has been applied in many industries such as automotive, aviation, health, construction, electronics ... Almost all Digital Light Processing (DLP) 3D printing machine on ​​domestic market are imported from Chinese, Korean manufacturers ... with medium quality but high cost. The paper presents a study of application of selected design methods and tools of engineering design process to design DLP 3D printer driver with lower cost but equivalent quality with the other machine in series on the market that are imported from China.

This paper presents a complete case study for designing and manufacturing chain parts for chain conveyor use for a harvest shallot for a real. The process of harvesting shallot in Vietnam is being done manually. Mechanization, automation of the harvest process has been demanded by farmers. In the harvest shallot equipment, the chain conveyor system is used to handling the desired orbit to the packing position. Shallots are uneven in size, distributed in a certain size range. Chain conveyor systems with the chain was non-standardized were choiced. Therefore, a complete design is required to meet requirement. The design procedures are: (1) calculation of the expected loads that exert on the chain during operation, (2) selection of materials, (3) designing the different parts of the chain taking into account safety, assembly process and economic considerations. The final design was justified and validated. The chain of chain conveyor system is working properly and safety under real conditions.

System engineering methods are often used to design complex systems like airplanes. However, this method is also useful to propose solutions to redesign logistics systems such as warehouses and transport systems. This paper will apply system engineering in analyzing the late order problem at a pesticide company, thereby surveying stakeholders needs for warehouse re-designing. The functional analysis in the warehouse will be carried out in the concept analysis section to propose warehouse’s layout redesign alternatives that based on the demand of storage capacity and throughput. The authors also used the AHP method to select the final design layout. The detailed design section builds the operation process for the warehouse as well as the codification for commodity storage slots along with these tables forms that support for warehouse management. These solutions increase warehouse performance as well as the utilization in warehouses when applied in practice. Therefore, the system engineering method should be used in warehouse’s redesign

In this paper, two kinds of spatial position and attitude controllers based on fractional order algorithm and algorithm are designed. Based on the basic assumptions, the model is established and the control of the spatial positioning of the manipulator is studied. The control effects of traditional controller and fractional order controller are analyzed and compared by numerical simulation method. At the same time, the effects of parameters and of fractional order controller and controller on system performance are simulated and analyzed. The results show that the fractional order controller has faster and better robustness than the traditional controller. The research of fractional order controller has become a new method to predict the space trajectory tracking and positioning of the manipulator and to ensure the positioning accuracy of the manipulator.

The simulation and application of industrial robots has developed very quickly in recent decades. Along with the development of computer science, a lot of softwares to perform dynamic simulation have been created. The results of simulation can be used for layout evaluation, kinematic, dynamic study, off-line programming to avoid obstacle and for design mechanical structure of robots. A co-simulation of 2R industrial robots have been performed by Recurdyn and Matlab. The input parameters are executed under Matlab, and then exported to Recurdyn environment. Kinematic parameters will be executed by RecurDyn then exported to Matlab. The main tasks of this paper are performing 2R robotic manipulator kinematic simulation in two postures with the same trajectory and the same time. Thus, the result of simulation can be compared with theories. Finally, a real 2R robot model was used to verify the trajectory with CAE simulation.

Structural dynamics in structural engineering analysis involves the modal parameters (natural frequency, mode shape and damping ratio). The modal parameters of engineering structures is mainly influenced by the damping and stiffness properties. This research paper presents the reliability of CELAS element in the finite element modelling to represent the stiffness parameter. The simplified engineering structure considered in this study is a mass-spring system with multi-degree of freedom. Experimental modal testing is performed using an electro-magnetic vibration shaker as an exciter and an accelerometer to record the natural frequency of the system. HyperMesh normal mode analysis is used to compute the natural frequency of the mass-spring system. The comparative evaluation is performed in order to identify the accuracy of the natural frequencies obtained from the modelling analysis and the measured counterparts. Consequently, it is found that the element CELAS has a good capability to represent as the stiffness parameter in the finite element modelling.

This paper presents the development of a ladder climbing robot prototype. The development of the prototype includes constructing the basic software and hardware for the robot. The robot controller is designed using Arduino Mega 2560 software implemented in Arduino IDE with C programming. The hardware development involves constructing the main chassis and climbing arm with servomotor, DC geared motor and motor driver. An algorithm to climb ladder is developed with application of Infrared (IR) sensor and ultrasonic sensors. Significantly, the robot prototype is tested on ladders of different rung spacing. In the future, a base with wheels will be constructed for the robot to carry load and move on ground with obstacle avoidance capability and side grippers will be constructed to improve climbing performance of the robot on vertical ladder; this project will contribute to future research on similar topics.

Polypropylene bags are widely used in many industries especially in agriculture and food industry. However, industries especially in food or fertilizer industries, need to use the polypropylene bags that can withstand a high level of humidity. To overcome this problem, a two-layers bag is required. This two-layers bag consists of outer layer woven bag and inner layer polypropylene bag. Currently they are produced by using conventional method where they are assembled manually by the workers. This manual method causes longer production time process, a high number of workers, and higher cost for mass production. To enhance the operation performance, automated polypropylene bags assembly system is proposed. By using an automated system, it can improve quality and consistency of processes, and reduced direct human labor costs and expenses where the worker is unneeded for assembling the polypropylene bag. To overcome this problem, this project is dedicated to design and develop a new Automated Polypropylene Bag Assembly Machine (APBAM) to operate the process automatically. This machine will execute three main processes - Grasping, Handling and Feeding. This paper will focus on the design of pneumatic actuator for grasping polypropylene bags in upward and downward motion. The design will be calibrated, analyzed and evaluated. The design of automated polypropylene bags assembly system will help to solve some of the problems that have been identified.

In this paper, an examination hall assistive robot (EHAR) had been developed to operate in an examination hall, to collect and deliver extra answer booklet for examination candidates. The systems will respond to user or student request through a table transmitter on each table via radio communication. The request by the students is collected by a CPU, before it is transmitted to the robot. The robot moves by following line on floor and read RFID tag for localization purpose. The robot has the ability to stop or avoid obstacle along the path received from the information obtained by the ultrasonic sensors. After the integration process, the performance of the developed system had been tested. The test had been carried out by moving EHAR through 3 points (RFID tags), where EHAR is required to turn on certain angle and direction after each tags read. The test was then repeated for another 10 times to obtained correct average results. The percentages of the average successful turns made by the EHAR are 83.3%. Therefore, it is hoped that this system will be implemented in exam halls and serves its purposes.

Mid-Life Refurbishment (MLR) is a process conducted in many industries to improve or extend the life span of assets such as machines, infrastructures and systems. The objective of MLR works execution is to extend the life span, sustain the train performance and achieve system reliability. Typically, the refurbishment scope consists of overhaul, upgrading and rectification works. The biggest challenge is to determine) the scope of refurbishment works and to create equilibrium between the feasibility and viability of the project. Therefore, the main objective of this paper is to discuss the current practice of performing MLR maintenance through the utilization of Failure Mode and Effect Analysis (FMEA) and to transform the existing FMEA used by the automotive industry to fulfil the needs of Rolling Stock. The use of FMEA is critical in determining) the scope of train refurbishment work. It was carried out at the initial stages of the process in order to determine Risk Priority Number (RPN) to prioritize the type of refurbishment plans and scope. The design of the FMEA Worksheets, De-sign of FMEA severity Evaluation Criteria, Design of Occurrence Evaluation Criteria and Design of FMEA Prevention/Detection Criteria were adopted and adapted from the generic format so that it is coherent with Railway Industries. The results based on the transformation framework, the plan and scope of overhaul, upgrading and rectification were defined using the FMEA. Out of the 80 elements of MLR works that were analyzed using the FMEA approach, it was found that 46 elements needed overhaul, 23 elements needed upgrading and 11 elements needed rectification works. Finally, the application of the FMEA helped determine the MLR scope of work from 13 systems. The case study was taken from the Malaysia LRT Project, and currently the fleet has been in operation for more than 20 years (operated since year 1998).

Construction projects are a combination of high complicated procedures that rarely go with the plan. The greatest dangers projects are the construction since it linked with an extraordinary amount of ambiguity and threat and that because of the business activities nature, procedures, and the outside surroundings. This paper investigates the problems during the pre-construction phase and the optimal solution for this problem by using to algorithm, partial swarm and Gravitational search algorithm. The results show that the construction problems have a severe effect on both time and cost and these problems must be treated immediately and this requires sophisticated techniques by using computer science. GSA and PSO are both used and show excellent results in solving these problems, the GSA algorithm shows better results in both the velocity is taken to find the solutions and in the accuracy. PSO is still a good technique in finding the solution and their future recommendation in making an expert system to find the solution more than one project and their interdependency.

In the present paper, a review of some of the common orthoses designed for osteoarthritis of the knee is performed. The functional and constructive characteristics and the main advantages that recommend them for use are presented.

According to recent research, quite a large part of the buses have exceeded the loading standards, which causes road damage. In order to reduce weight, the use of lighter materials such as aluminum was used. Moreover, the cost of maintenance decreases and the fuel consumption is reduced. In this paper we summarize the study of the dynamic and vibrational behavior of the chassis, including the rolling system. In the paper [2], several models have been elaborated necessary for this study. In the present paper we proposed the integration and, implicitly, the finding of the dynamic response, as a result of the behavior of the chassis in operation, in the form of time functions that we represented graphically according to a real numerical application, these representations better suggesting this behavior.

In this paper a mechanical model of the car and the related mathematical model are presented. Based on this mathematical model, some kinematic and dynamic parameters of the car are determined when moving between milestones. These theoretical results are compared with the experimental results to validate the proposed model.

SPC (Statistical Process Control) is one of the Lean Manufacturing techniques, but especially Six Sigma, being a method of improving the quality of the manufacturing process, which allows the identification of errors before their production, with the help of which a process can be supervised and when needed, it is possible to carry out an intervention of regulation, respectively of correction of the process, before being nonconformities. The paper presents a study regarding the use of SPC at a company in the automotive field in order to improve the quality of the manufacturing process for a knuckle. Thus, a number of 25 samples were taken, each sample containing a number of 5 pieces. After sampling, a series of techniques and statistical data were used, respectively diagrams and control sheets, which allowed the determination of the process capability by using MiniTab software.

Retinal microsurgery is one of the most technically demanding surgeries, during which the surgical tool needs to be inserted into the eyeball and is constantly constrained by the sclerotomy port. During the surgery, any unexpected manipulation could cause extreme tool-sclera contact force leading to sclera damage. Although, a robot assistant could reduce hand tremor and improve the tool positioning accuracy, it cannot prevent or alarm the surgeon about the upcoming danger caused by surgeon’s misoperations, i.e., applying excessive force on the sclera. In this paper, we present a new method based on a Long Short Term Memory recurrent neural network for predicting the user behavior, i.e., the contact force between the tool and sclera (sclera force) and the insertion depth of the tool from sclera contact point (insertion depth) in real time (40Hz). The predicted force information is provided to the user through auditory feedback to alarm any unexpected sclera force. The user behavior data is collected in a mock retinal surgical operation on a dry eye phantom with Steady Hand Eye Robot and a novel multi-function sensing tool. The Long Short Term Memory recurrent neural network is trained on the collected time series of sclera force and insertion depth. The network can predict the sclera force and insertion depth 100 milliseconds in the future with 95.29% and 96.57% accuracy, respectively, and can help reduce the fraction of unsafe sclera forces from 40.19% to 15.43%.

In this paper a modal and dynamic analysis of a snake like robot is performed. Modal analysis consist in determination of own vibration modes and natural frequencies. The proposed dynamic analysis was performed in order to determine the variation time/frequency laws for the cinematic and dynamics parameters.

The aim of the paper is to study the opportunities offered by an on-board data acquisition system (DAQ) in collecting, monitoring and controlling vehicle operating parameters. The testing system is able to obtain information concerning the energetic and dynamic parameters. It also has a built-in GPS system that allows the correlation between the information acquired with the route traveled. The data is collected from the vehicle in real-driving conditions and is processed with the aim of analyze it.

This paper presents the methodology of designing a transducer for the experimental measurement of forces. For this purpose, an elastic element of the shape of the letter "S" is designed and manufactured. The elastic element designed in SolidWorks is subjected to virtual testing, using the finite element method in ANSYS. After validating the results obtained considering the maximum values ​​of the stresses that appear for the nominal load, the experimental model of the transducer is realized. The central part of the elastic element behaves like a fixed double beam subjected to bend by the measuring force. On this beam are bonded strain gauge transducers, which measure the deformations produced by bending. The transducer is calibrated, in order to obtain the calibration constant, based on the obtained characteristic, that is, the dependence of the specific strain-deformation and force. The transducer thus constructed can be used in force measurement applications.

This paper purpose is to provide recommendations for a public buildings – hospital - x in order to increase energy efficiency, saving primary resources, to ensure a healthy indoor climate for users, and last but not least to ensure a reduction of CO2 emissions in order to ensure an external environment with low pollutant emissions. After the thermal expertise of this building, the carried out analysis has as main objective to consider all the parameters involved (installations, insulations, indoor environment, comfort). Along with rehabilitation of a public building (envelope and installations), especially it is necessary to save energy but not to endanger the indoor climate. Non-invasive methods were used to inspect the building by using thermo-vision both for the building envelope and for inspection of existing installations. All the entering parameters such as utilities bills were analyzed for a period of one year to highlight current energy performance. The given recommendations achieve the proposed goal and highlight the active role of building management, continuous monitoring of energy and utilities to assess and improve energy efficiency, and ultimately to minimize specific energy costs. The results of this study can be used successfully on a wide range of hospital buildings in Romania.

For a building equipped with anti-seismic devices, the value of the damping force of the dampers positioned at the superstructure is very important for an efficient anti-seismic damping and therefore an optimization of the seismic protection system with dampers is required. There are several configurations for placing the dampers that amplify the displacement and the damper axial force. This paper presents a computational mathematical model made for determining the coefficients of displacement multiplication and the damping force multiplication for two special positioning configurations of the antiseismic dampers using levers. Based on this model, a software program was created that allows to choose the geometrical parameters of two configurations of dampers placement having as criterion of choice the value of the amplification coefficient of the dampers displacement or the damper axial force.

In viewing of information overload environment,traditional search engine has inherent insufficiency about retrieval accuracy and query mode,together with the characteristics of decision tree algorithm and knowledge push,this paper presets an intelligent knowledge push model,and discuss the mechanism of this model.The model strive to improve the retrieval efficiency and realize the intelligent service.

This paper proposed a new facial feature points localization algorithm based on main characteristics of eyes.Use the result of pupil center position to initialize the model of hybrid improved active shape model (ASM) and active appearance model (AAM). The algorithm will use two-dimensional local gray information to update the feature point position when using ASM to locate the face contour feature points. As to the internal features point location, it establishes facial organs independent AAM model. At the same time, it optimizes measure functions of ASM and AAM to judge the convergence of search algorithm. The experimental results show that the new algorithm greatly improved the localization accuracy of facial feature points.

In order to adapt to the heterogeneity of terminals and networks, Scalable Video Coding (SVC) encodes raw video stream with different scales of temporal, spatial and quality into layers. Considering the P2P network characteristic, it is a challenging task to design an appropriate P2P steaming network resource allocation mechanism combining with SVC. In this paper, SVC is applied in P2P streaming based on game theory; considering free-riding, bandwidth conflicts in P2P multi-overlay and one chunk with multiple providers, we design a bidirectional serial auction model that jointly optimize the bandwidth allocation, the data scheduling and the incentive mechanism, then optimized allocation for scalable video streaming over P2P networks is achieved. With extensive theoretical analysis, we show that these games converge to an optimal topology for each overlay.

Regenerating codes are a class of erasure codes for distributed storage. The use of regenerating codes not only improves reliability of distributed storage systems, but also minimizes repairing bandwidth when storage nodes failed and need to be repaired. In this paper, we investigate the cyclic structure of hybrid regenerating codes which each node has two fragments with the first fragment stores original message and the second fragment stores parity message. A fast repairing algorithm is also proposed.

The RFID back-end system is the core of the thing of networking technical framework, and it has suffered more security threats. In the face of these security problems in the backend system, this paper design a node bidirectional authentication and key exchange protocol based on certificate and ECDH(SRCE), to guarantee the safety of the RFID backend systems. The analysis result indicates that the protocol obtain smaller key sizes and higher computational efficiency on the performance, furthermore, there are many security properties in which, such as data confidentiality, mutual entity authentication, against known key attack, etc.

Multi-axial mechanical systems commonly encounter the problem of vibration while attempting to drive machining systems at high speed. Many effective methods based on feed-forward and feedback control have been proposed and applied for vibration reduction. In order to design controllers all methods require the exact knowledge of system parameters: vibration frequency and damping ratio. In recent years, low-cost Micro Electro Mechanical Systems (MEMS) accelerometers have been used for many applications in industry. This paper presents the advantage of low cost MEMS accelerometer to identify vibration parameters of mechanical systems in comparison to conventional expensive devices.

Recently, environmental damage caused by pest, invasive species Nutria has become an issue in Tottori Prefecture and development of an effective control method is in demand. Therefore, we have developed a robot that could identify pest by using ultrasonic sensor. The benefits of using this robot is that it is difficult to be influenced by environmental conditions and easily recognizes three dimensional input. Unfortunately, this robot could only confirm the presence of target object but could not identify the object, which means it could not differentiate whether the object is human or pest. In this paper, we have invented a robot that could visualize the object by using frequency-modulated ultrasound and Self-Organizing Map (SOM).

This paper proposes to improve the form accuracy of a machined surface produced by an ordinary milling machine by diamond fly cutting using controlled cutting with reference surface (CCRS), an in-process measurement and control method. CCRS improves machined surface accuracy by controlling the relative displacement between the tool and workpiece. Diamond fly cutting using CCRS was demonstrated to reduce the table motion error on an ordinary milling machine.

The magnetorheological (MR) damper is the newest approach to replace the traditional passive damper which cannot change their dynamics in response to different operating conditions of the aircraft landing gear. This paper presents the simulation study of a semi-active controller for a landing gear equipped MR damper. Furthermore, a new method combined skyhook control with force control, called hybrid control, is developed to improve the performance of the MR damper landing gear. Finally, the numerical simulation result of the landing gear using SIMSCAPE-Simulink is discussed.

This paper presents a study on improvement of performance characteristics of small diesel direct injection engine with power of 16.5HP using the re-design of intake manifold. With help of simulation tools like AVL BOOST, the proposed measures for improvement of intake manifold were analyzed. The simulation results indicated that two best intake manifolds were recommended for experimental purposes. These manifolds were experimentally used to benchmark to the current intake manifold of engine. In experiments, the important performance characteristics of engine (like volumetric efficiency, brake power, brake torque, fuel consumption, NOx, Soot, and CO) were analyzed. Moreover, the flow pattern of intake air was experimentally observed using a transparent cylinder.

This paper proposes a neural vector control (NN-FOC) for speed regulation of interior-mounted permanent magnet synchronous motor (IPMSM) drive. The weights of proposed neural NN-FOC structure are optimally identified based on the Levenberg-Marquardt algorithm. The novel MTPA approach is applied for IPMSM-based electric vehicle (EV) drive application. The novel neural NN-FOC control is verified in simulation tests and is compared with the traditional PI-FOC vector control. The simulation results prove that the maximum IPMSM speed range available with the new NN-FOC control is significantly improved in comparison with the traditional IPMSM PI-FOC control. As a consequent the proposed neural NN-FOC control can be successfully applied in advanced electric drives, particularly in PMSM-based electric vehicle EV drive application.

Poor heat treatment of the generator may cause cracks during operation. The presence ofcracks on the rotor causes the rotor to vibrate. The paper establishes a finite element modeling of aunit. The model is used to study the vibration response characteristics of the shafting system when thesupport characteristics of the generator are similar and the difference is significant. When thedifference in support characteristics between the two ends of the generator is large, the first-orderunbalance of the generator not only causes a large in-phase vibration at the first-order critical speed ofthe generator, but also causes a large reverse component. Finally, the reliability of the conclusion isfurther verified by combining the abnormal vibration diagnosis and processing cases of a generator.The innovation of the paper is to diagnose the possible cracks in the generator through the vibration ofthe generator, and then look at the original data in the generator manufacturing process to find that theheat treatment process of the generator rotor is poor.

In this paper, the cold launch test platform is taken as the research object, theoptimization model of this test platform is established by using topology optimization method. First,the topology optimization goal of the structure is determined, and then the constraints are carriedout. Finally, optimized and non-optimized areas are identified, and the result is processed. Afteroptimization, the quality of the test platform was reduced by 2.9 tons under the conditions of use.