bluuebunny/crossref_metadata_2025 huggingface dataset:
An Experimental Evaluation of Structural Performance for High Strength Steel Stub Columns under Eccentric Loads
Authors: Hong Sung Bin , Lee Kang Min , Oh Keun Yeong , Yang Yang
Published: May 2015

The researches on strength of members bending-compression were evaluated through experimental tests on eccentrically load of high-strength steel (HSA800). This test was performed on H-shaped steels of high strength steel (HSA800) to verify the P-M correlations of members subjected to combined forces according to axial load ratios. And this strength evaluation test was performed for various P-M combinations on adjusted eccentric distance. The results showed that all the specimens was satisfied with P-M correlations according to design criteria.
Structural Damage Identification in Vehicle-Bridge System Based on Measured Dynamic Response
Authors: Chang Tai Ping
Published: May 2015

In the present study, a detailed vehicle–bridge dynamic interaction model is established, and the bridge is modeled as laminated composite beams which are discretized as finite beam elements. The vehicle-induced responses of the bridge in the damaged state are used as input data for damage identification and the response sensitivities with respect to the damage indices of the elements are calculated to establish the sensitivity matrix. Based on the error between the measured response and the computed one as a minimization criterion, the sensitivity equation is solved by the least-squares method, and then the damage is located and quantified with the finite element model updating technique. It can be concluded that only one measurement point is required to detect the damage of the bridge, and location of the measurement point does not significantly affect the identification result. Furthermore, it is noted that the absolute damage of any beam element is well identified by using either the displacement response, velocity response or acceleration response.
Vertical Connector Performance of Modular Roadway Slab
Authors: Park Soo Bong , Kim Woo Seok , Song Jae Joon , Lee Sang Yoon , Jeoung Chan
Published: May 2015

This study investigated vertical connector performance of modular roadway slab. A modular roadway utilizes precast members of slabs and crossbeams under the slabs, and the connection between them is critical. The vertical connector has to resist horizontal loads and allow the thermal movements. In the preliminary study, two boundary conditions were investigated to identify the better vertical joint functionality. Based on the results, detailed analysis models were developed and displacements and internal forces of the vertical connector were investigated. The analysis results showed that for the given modular slab and developed vertical connector, the vertical connector provides better stability and functionality but required 80 kN of horizontal shear forces.
Impact Analysis of Composite Laminate Shell Structures
Authors: Her Shiuh Chuan , Liao Ching Chun
Published: May 2015

In this investigation, the methodology for predicting the dynamic response of a composite laminate shell subjected to low velocity impact is presented. A non-linear integro-differential equation is derived and solved by the numerical scheme of Runge-Kutta method to obtain the time history of the contact force at the impact point of the shell. The contact force is then taken as external force acting on the apex of the shell and solved by the finite element method. The results are validated with the numerical calculation published in the literature.
One-Step Gradual Forging Process by Using Direct Heating Billet within Die
Authors: Cheng Fang Sung , Cheng Yu Shun
Published: May 2015

Direct heating billet within a die by using resistance heating method was developed to form the high strength material in one-step gradual forging process. During the forging process, the pressing speed of the upper die is controlled with the pace of the heating billet. In the proposed method, the forging die can be used as both the forming and heating of the billet. Based on this innovative forming method, experimental result shows that the billet could be heated quickly to 1000oC in about 5 seconds and the high strength material was successfully formed to the shape of bolt head in one-step gradual forging process. With the proposed mechanism, the rapidly heating and gradual deformation during the hot forging process can be successfully carried out.
Efficient Neural Processor for Camera Distortion Correction
Authors: Chen Ching Han , Yao Tun Kai
Published: May 2015

This paper propose an efficient VLSI architecture of camera distortion correction based on neural camera distortion model (NCDM). Different from conventional imaging method uses over two kind models to correct the camera and lenses distortions, the NCDM uses a single model to correct at once the geometry distortion and the unsymmetrical manufacture errors. The NCDM with four neurons perform the wide-angle distortion correction, results show that the maximal corrected error in a whole image is less than 1.1705 pixels, and that the MSE approaches 0.1743 between the corrected and ideal results. The distortion correction by NCDM is 429x more accurate than the conventional approach. The chip size of NCDM is 1.51 x 1.51 mm^2 that contains 126K gates by using TSMC 90 nm CMOS technology process. As working at 240Mhz, this architecture can correct 30 frames and Full-HD resolution video per second. Results show that the maximal corrected error in a whole image is less than 1.4 pixels, and that the mean square error approaches 0.0376 between the corrected and ideal results.
Integration of Lenticular Displays with Image Switching and Infrared Watermark
Authors: Liao Yen I , Wang Hsi Chun
Published: May 2015

The objective of this paper is to integrate lenticular lens with switching images and embedding the infrared watermark to provide value-added and anti-counterfeiting features. Digital halftoning technique has been used to compose animated graphics and the infrared watermark. The infrared watermark consists of halftone dots in cyan, magenta, yellow, and black inks. The carbon material in black ink absorbs the infrared light and the watermark could be displayed under infrared detection. By using the lenticular lens, image-switching effect can be observed from different viewing angles. The results show that it is successful to implement a lenticular display with both image-switching feature and hidden watermark which can be decoded under infrared detection. The proposed method has many potential applications to anti-counterfeiting and brand protection.
Pore Distribution and Durability of Cement Mortar by the Magnetic Resonance Imaging
Authors: Yang Chih Chung , Lin Jyh Dong , Chiang Hsiang Wei , Lin Wei Ting , Tsai Chia Jung
Published: May 2015

The pore distribution in cement mortar, which is highly related to compressive strength and permeability, vary with water-cement ratios and curing periods. This study used magnetic resonance imaging (MRI) to observe the pore distribution. Compressive strength tests, the rapid chloride-ion permeability test, and electrical resistivity tests were performed to determine the influence of pore distribution on durability. The results reveal that lower water-cement ratios and longer curing periods contributes to fewer pores in mortar specimens. SEM images illustrated how this may be influenced by the rate at which the hydration product, C-S-H colloids, is generated. In addition, the results of durability testing indicate that porosity and compressive strength, total charge passed, and resistivity display linear relationships, as porosity increases, the total charge passed increases, resistivity decreases, and compressive strength declines. The linear regression determined that the R2 of all relationships exceeded 0.90, thereby demonstrating the feasibility of applying MRI to assess the durability of concrete.
Nonlinear Magneto-Electric Response Characteristics of Giant Mag-Netostrictive-Piezoelectric Composite Sensors in Harmonic and Stochastic Excitation
Authors: Xu Jia , Hong Chang Yi , Zhu Zhi Wen
Published: May 2015

Nonlinear magneto-electric response characteristics of giant magnetostrictive-piezoelectric composite sensors in harmonic and stochastic magnetic fields were studied in this paper. Van der Pol nonlinear difference items were introduced to interpret the hysteresis phenomena of both giant magnetostrictive material and piezoelectric ceramics. The nonlinear dynamic model of giant magnetostrictive-piezoelectric composite sensors in harmonic and stochastic magnetic fields was developed. The expression of dynamic response of the system was obtained, and the bifurcation characteristics of the system were analyzed. The magneto-electric coefficient of the composite sensors was determined, and the effects of system parameters on the dynamic characteristics and magneto-electric coefficient of the system were analyzed. The simulation results show that there are stochastic Hopf bifurcation and jump phenomena of vibration amplitude in the system, and both of that can be avoided through adjusting parameters. The experimental results show that the system’s motion becomes chaotic when stochastic excitation is extremely large. The results of this paper are helpful for optimal design and improvement of giant magnetostrictive-piezoelectric composite sensors.
Airport Access Road Traffic Demand Estimation
Authors: Kim Seong Ho , Suh Won Ho , Kim Jun Gin
Published: May 2015

For most traffic engineering studies, traffic flows are usually analyzed and evaluated on hourly basis. However few studies have been performed that estimate the number of traffic volumes made to an airport as a function of air passengers by time of day. The objective of this paper is to develop a mathematical model which forecasts hourly traffic volume by using hourly airport operation data along with airport user characteristics data. An analytical model was developed. This model can be used to (1) predict the number of vehicles queued at airport entrances intersection or toll plaza, (2) predict optimum toll lane staffing, and (3) analyze the level of congestion on the roadway for different levels of air passenger demand in future.
Study on 3D Meaningful Mobile Gamification Learning Outcome Assessment – An Example of Blood Circulation Lesson
Authors: Su Chung Ho , Su Po Yuan
Published: May 2015

Research on gamification of learning has been very popular in the past years; especially, the learning effectiveness in applying games to the education of natural science in elementary and junior high schools has been proven. Aiming at the human blood circulation unit, which is rather difficult to comprehend, in the biology materials for junior high school students, Mobile Meaningful Blood Circulation Learning System, called MMBCLS game-based learning, is developed. The players could comprehend the functions of systemic circulation and pulmonary circulation through games. In the study, the instructional design is based on Meaningful Learning and follows the principles of digital game-based learning models to design the after-class multimedia materials, which allow learners enjoying learning with fun. The quasi-experimental design is utilized for the learning assessment, where the experimental group applies MMBCLS, while the control group uses general instruction for the teaching materials. The experimental results show significant difference of the experimental group in the learning effectiveness and better post-test results than the control group. The research outcomes could be the reference of material design for teachers and provide educators with the reference of mobile as meaningful media material design.
A Flexible Bearing with 1-DOF Translation for High-Precision Mechanism
Authors: Dao Thanh Phong , Huang Shyh Chour
Published: May 2015

Traditional bearings with one degree of freedom (1-DOF) translation are due to sliding between rigid bodies; however, the wear, backlash, and low precision are existing defects. For high-precision mechanism to overcome these limitations, a flexible bearing with 1-DOF translation in this paper is designed alternatively by the use of the concept of compliant mechanism because its motion replies on elastic elements. Besides, the fatigue strength, fracture, and crack are frequently appeared as mechanical failures due to high stress at the fixed end of flexible hinges. To reduce mechanical failures, experiments are conducted by an L27 orthogonal array of the Taguchi multiple quality method to optimize design parameters, including an applied force and the length, width, thickness, and filleted radius of flexible hinges considering the stress concentration. The results demonstrate that the resulting stress of the new design flexible bearing is almost 99.7% smaller than that of the original design.
A New Design for Enhancing the Performance of Hidden Ceiling Fan
Authors: Lin Sheam Chyun , Hsieh Ming Yuan
Published: May 2015

The new axial-flow fans are designed by following a systematic procedure to construct the 3D multi-airfoil impeller, which is constructed by NACA four-digital series of 2D profiles. Also a new housing is proposed for enhancing the performance. The numerical flow visualization is observed carefully for modifying the design parameters when the undesirable flow pattern appeared. After that a CNC-fabricated prototype consisting of new housing and axial-flow fan is served for performance comparison. The results show that data from experiment and simulation have the same trend and in good agreement. Furthermore, the airflow rate for mockup is largely improved by 64.57% after imposing the new axial-flow fan and the new housing. Moreover, for design of single axial-flow fan, the maximum static pressure and maximum airflow rate are increased by a significant 33.7% and 55.48%, both much higher than the commercial products, respectively. In conclusion, the enhancement of hidden ceiling fan has been accomplished successfully via the systematic scheme proposed in this effort.
Approach for Hydraulic Pump Fault Diagnosis Based on WPT-SVD and SVM
Authors: Tian Ye , Lu Chen , Wang Zi Li
Published: May 2015

As the failure of a hydraulic pump is always instantaneous, the failure data are difficult to obtain. High-efficiency fault diagnosis under small-sample conditions for hydraulic pumps is urgently required in engineering applications. A fault diagnosis approach based on wavelet packet transform (WPT), singular value decomposition (SVD), and support vector machine (SVM) is proposed in this study. First, the nonlinear, non-stationary vibration signal of the hydraulic pump is decomposed into components by WPT. Second, singular value vectors are acquired as feature vectors by applying SVD to the components. Third, the health states of the hydraulic pumps are determined and classified with a SVM classifier. Furthermore, the SVM and Elman neural network classifiers are compared in terms of fault classification to demonstrate the superiority of SVM in dealing with small-sample problems. The results of the plunger pump rig test show that the proposed method can diagnose the faults of the hydraulic pump accurately even when the number of samples is small.
Dynamics Analysis of Energy Absorbing Device Based on Damped Dynamics Vibration Absorber
Authors: Zheng Zhong Qiang , Huang Peng , Yao Tao , Chang Zong Yu
Published: May 2015

Nowadays, absorbing energy from vibration is one of the most promising technologies. In general, the vibrations may be very large, such as the vibrations of tall buildings, large flexible bridges, and ocean platform and so on in some environmental loading. With the global concern on energy and environmental issues, energy absorbing from large-scale vibrations for structural health monitoring purposes is more attractive and becomes a research frontier. A type of damped dynamics vibration energy absorber, where two masses are connected in series with the energy transducer and spring, is built and analyzed in this paper. The relationships among electrical damping ratio, excitation frequency ratio and dimensionless power are analyzed in frequency domain. The optimal parameters for maximizing the power output are discussed in analytical form while taking the parasitic mechanical damping of the system into account. In addition, the numerical simulations in time domain are calculated. The results indicate that when the system is excited by the larger peak of local optimal excitation frequency, more power can be obtained. It is helpful for design of energy absorber device.
FEM Simulation and Experimental Verification on Rotating Compression Forming of Double-Layer Clad Ring Considering Shear Friction
Authors: Tzou Gow Yi , Hwang Yeong Maw , Teng Hsiang Yu
Published: May 2015

This study uses FEM simulation based on Deform 3D commercial software to explore the plastic behaviors in the rotating compression of double-layer bounded clad ring under constant shear friction. The effective stress, the effective strain, the velocity field, the compression force under various forming conditions can be determined from FEM simulation. The realistic experiment has been performed to verify the acceptance of FEM simulation. From the comparisons, the compression force and free surfaces of outer and inner diameters shows a good agreement with the experiments, it proves the FEM simulation can be accepted as industry references.
Hybrid Weights-Utility and Taguchi Method for Multi-Objective Optimization Problems
Authors: Hsien Kuang Hung , Huang Shyh Chour
Published: May 2015

In this paper, hybrid weights-utility and Taguchi method is proposed to solve multi-objective optimization problems. The new method combines the Taguchi method and the weights-utility concept. The weights of the objective function and overall utility values are very important for the weights-utility, and must be set correctly in order to obtain an optimal solution. Application of this method to engineering design problems is illustrated with the aid of one case study, and the result shows that the weights-utlity method is able to handle multi-objective optimization problems, with an optimal solution which better meets the demand of multi-objective optimization problems than the utility concept does.
Meshing Efficiency Analysis of Straight Spur Gear Pair
Authors: Chen Tzu Hsia , Tang Hsiu Chen
Published: May 2015

Due to shortage of energy, the meshing efficiency of gear train becomes an important factor of power system. This paper focuses on the meshing efficiency of straight spur gear pair. The analysis of gear meshing efficiency involves the involute theorem of gears, friction and lubrication, and other related issues. According to Buckingham’s research, the theoretical meshing efficiency equation of straight spur gear pair is proposed. One straight spur gear pair (15, 79) is proposed to be the example for analyzing meshing efficiencies at each rotation speed. The theoretical meshing efficiencies for the straight spur gear pair (15, 79) are between 98.36% ~ 99.79 %. Its best meshing efficiency occurs at pinion speed 600 rpm.
Research of Mechanical Vibration Signal Classification Based on LMD
Authors: Dong Zeng Shou , Ren Zhao Jing , Dong You
Published: May 2015

The traditional signal processing methods are difficult to accurately extract fault information, because mechanical fault vibration signals have non-stationary, which will cause system instability. Local mean decomposition is adaptive signal processing method. However, in the local mean decomposition of the signal, the trend of the endpoint can not be predicted which cause contaminating the entire signal sequence, the original moving average of the signal used over-smoothing treatment, resulting in fault characteristics can not accurately extract. The article introduces waveform matching to solve the original features of signals at the endpoints, using linear interpolation to get local mean and envelope function, then obtain production function PF vector through making use of the local mean decomposition. The energy entropy of PF vector take as identification input vectors. These vectors are respectively inputted BP neural networks, support vector machines, least squares support vector machines to identify faults. Experimental result show that the accuracy of least squares support vector machine with higher classification accuracy has been improved.
Effect of Fiber Length on Direct Tensile and Impact Strength of Cmentitious Materials Containing Silica Fume
Authors: Lin Wei Ting
Published: May 2015

This study is aimed to evaluate the tensile strength and impact resistance of cementitious materials which comprise steel fibers and silica fume in the mixes. Material variables include water-binder ratio, dosage of silica fume, steel fiber length and dosage. A designed tensile strength was used to perform the direct tensile in this study. Test results indicate that the compressive strength, splitting tensile strength and direct tensile strength of specimens for fiber length of 60 mm are higher than that of 35 mm. The inclusion of fibers in specimens containing silica fume has higher compressive and tensile strength; and lower impact resistance than the specimens made with silica fume. Incorporation of steel fiber and silica fume in composites achieves significantly higher increase in compressive strength, splitting tensile strength, and direct tensile strength than only individual use of steel fiber or silica fume and decrease in impact resistance than only individual use of steel fiber. Finally, the proposed direct tensile testing method is suitable for determining the tensile strength of fiber reinforce cementitious materials and generating the tensile stress-strain curves easily.
Thermal Characteristic Analysis CNC Multi-Grinding Machine
Authors: Bae Gyung Tae , Kim Bo Sung , Pak Ji Hun , Moon Hong Man , Noh Jung Pil , Huh Sunchul
Published: May 2015

Recently, it is essential to enhance the value of the products to make them more competitive. Therefore, the technical level of the high-precision products is required. Thermal deformation error, which accounts for a significant effect of processing accuracy of machine tools. In order to reduce thermal deformation error such studies the thermal characteristics of the Hydrostatic spindle is required. In this study, we could confirm the reliability of the analysis by assessing the thermal characteristics through measurement of the grinding machine temperature and thermal structural analysis. The temperature of the front bearing 10 °C or more higher than the temperature of the rear bearing, thermal deformation of the spindle, was found to be dependent on the temperature of the hydrostatic bearing. And could identify the thermal characteristics of the hydrostatic spindle.
Analysis of Electromagnetic Force for the Linear Generator Wave Energy Converters
Authors: Huang Peng , Gao Da Xiao , Zheng Zhong Qiang , Kong Xiang Biao , Chang Zong Yu
Published: May 2015

In recent decades environmental pollution and energy crisis have become a challenging task for the scientists and engineers who lead them to innovate new technology and solve this problem by reducing environmental pollution and by exploiting the new source of energy. In this regard wave energy is appeared to be a suitable outcome in order to resolve the current issues. This paper studies and summarizes that the linear generators are considered a device which is used to convert wave energy into electrical energy efficiently. It is the first time to calculate the electromagnetic force by considering the linear generator and at the same time simulated by Ansoft Maxwell software; by providing calculated value and simulated value, it is also verified that the calculated result is accurate with a small probability error as compared to software calculated value.
Engineering Properties of Fiber Cementitious Materials
Authors: Lin Wei Ting , Wu Yuan Chieh , Cheng An , Chao Sao Jeng
Published: May 2015

Fiber cementitious materials are composed of fibers, pozzolan and cementitious. Addition of fibers in cementitious materials may enhance its mechanical properties, particularly tensile strength, and ductility. This project is aimed to evaluate the mechanical properties of fiber cementitious materials which comprise fibers and silica fume in the mixes. Test variables include dosage of silica fume, mix proportions, steel fiber dosage and type. Compressive strength, direct tensile strength and splitting tensile strength of the specimen were obtained through tests. Test results indicate that the splitting tensile strength, direct tensile strength, strain capacity and ability of crack-arresting increase with increasing steel fiber and silica fume dosages. The optimum composite is the mixture with 5 % replacement silica fume and 2 % fiber volume. In addition, the nonlinear regression analysis was used to determine the best-fit relationship between mechanical properties and test parameters.
A Reshaping Method for Wind Turbine RCS Reduction
Authors: Ueng Shyh Kuang , Chan Yao Hong
Published: May 2015

This paper presents a Radar Cross Section (RCS) reduction method for wind turbines. In the proposed method, a reshaping procedure is utilized to generate waves or bumps on the surface of the wind-turbine tower. As the tower is illuminated by electromagnetic waves, the reflected rays are perturbed by the convex structures and the RCS of the wind turbine is decreased. Test results conclude that our modeling method reduces the average RCS values. The scatterings in the directions of the convex structures are significantly declined.
A Single-Stage DC Uninterruptible Power Supply
Authors: Jiang Maoh Chin , Shih Bing Jyun
Published: May 2015

A single-stage DC uninterruptible power supply (UPS) is proposed in this paper. Basically, the proposed converter is an integration result of a power factor correction circuit with a dc-to-dc converter to achieve simple hardware circuit, high efficiency, and low cost for extra UPS function. Under normal operation, a novel two-switch SEPIC converter operates as an ac to dc converter with sinusoidal input current, unity power factor, and low ripple dc output voltage, and as a battery charger if a battery is added. Since both the input boost supply and the output supply can be controlled independently, a fast transient response can be maintained at both the input for active current wave shaping and at the output for good output regulation. When the ac source is in an outage condition, the proposed converter functions as a dc-to-dc buck-boost converter; therefore, the desired dc output voltage can be provided. Finally, some experimental results are presented for verification.
A Sub-1V 0.18um Output-Capacitor-Free Digitally Controlled LDO
Authors: Yang Wei Bin , Xie Shao Jyun , Wang Han Hsien
Published: May 2015

The new digital control loop of the low-dropout regulator (LDO) is presented. It is composed of coarse tracking circuit and fine tracking circuit, and no external output capacitor is required to stabilize the control loop. The proposed method makes the quiescent current lower than conventional analog LDOs. The operational amplifier of the conventional LDO fails to operate at 0.7V, and the developed digital LDO in 0.18um CMOS achieved the 0.7V input voltage and 0.5V output voltage with 99.99% current efficiency and 2.6-μA quiescent current at 20mA load current. Therefore, the proposed DLDO is suitable for low power applications.
Design and Implementation of a Microprocessor-Based PI Controller for PMSM Drives
Authors: Kung Ying Shieh , Phan Thanh Nguyen , Chou Hsin Hung
Published: May 2015

This work presents a hardware implementation of a simple microprocessor; then uses this microprocessor to design a PI controller for PMSM (Permanent Magnet Synchronous Motor) drives. In this paper, firstly, the mathematical model of PMSM drives is illustrated. Secondly, the architecture of a simple microprocessor based on RTL (Register Transfer Level) method is proposed and the VHDL (Very high speed IC Hardware Description Language) is adopted to describe the behavior of the simple microprocessor. Thirdly, a machine code of PI controller based on the proposed simple microprocessor is designed. Finally, a co-simulation by Simulink/ModelSim is applied and verified the performance of the microprocessor-based PI controller.
Mitigation of Multipath Errors Using the Iterative Least Absolute Deviation Approach
Authors: Jwo Dah Jing , Hsieh Meng Hsien
Published: May 2015

The least squares (LS) approach has been widely used for solving the GPS navigation solution. Despite its many superior properties, however, the LS estimate can be sensitive to outliers and its performance in terms of accuracy and statistical inferences may be compromised when the errors are large and heterogeneous. The GPS signal is strongly affected by the multipath propagation errors. The LS is not able to cope with the above condition to provide a useful and plausible solution. In this paper, an alternative approach based on the least absolute deviation (LAD) criterion for estimating the navigation solution is carried out. The LAD method, which is also known as the L1 method, provides a useful and plausible solution. Unlike the LS method, the LAD method is not as sensitive to the outliers and so as to provide more robust estimates. Simulation results show that the method can effectively mitigate the GPS multipath errors.
Modelling of Texture Evolution in High Pressure Torsion by Crystal Plasticity Finite Element Method
Authors: Wei Pei Tang , Lu Cheng , Tieu Kiet , Deng Guan Yu , Zhang Jie
Published: May 2015

In this study, texture evolution during high pressure torsion (HPT) of aluminum single crystal is predicted by the crystal plasticity finite element method (CPFEM) model integrating the crystal plasticity constitutive theory with Bassani & Wu hardening model. It has been found by the simulation that, during the HPT process, the lattice rotates mainly around the radial direction of the sample. With increasing HPT deformation, the initial cube orientation rotates progressively to the rotated cube orientation, and then to the C component of ideal torsion texture which could be remained over a wide strain range. Further HPT deformation leads to the orientation towards to the ideal texture component.
Automatic Prediction Model of Ground Vibration for High-Speed Trains
Authors: Chen Yit Jin , Chen Chi Jim
Published: May 2015

This paper presents an automatic prediction model for ground vibration induced by Taiwan high-speed trains on embankment structures. The prediction model is developed using different field-measured ground vibration data. The main characteristics that affect the overall vibration level are established based on the database of measurement results. The influence factors include train speed, ground condition, measurement distance, and supported structure. Support vector machine (SVM) algorithm, a widely used prediction model, is adopted to predict the vibration level induced by high-speed trains on embankments. The measured and predicted vibration levels are compared to verify the reliability of the prediction model. Analysis results show that the developed SVM model can reasonably predict vibration level with an accuracy rate of 72% to 84% for four types of vibration level, including overall, low, middle, and high frequency ranges. The methodology in developing the automatic prediction system for ground vibration level is also presented in this paper.
Design of Agent-Based Production Information Retrieval System Architecture for Injection Machines
Authors: Chen Shang Liang , Lin You Chen , Chen Yun Yao , Wang Sin Ru
Published: May 2015

A socket information retrieval mechanism and information retrieving agent services on the basis of injection machines is proposed in this research. The proposed agent adapted customized packet format for client-server connection communication, and sent process parameters back to production process database constructed by this Institute. The production process data of injection machines can be accessed by the agent services pro-posed in any networking environment through standard services to construct a variety of systems for machine monitoring and information analysis. If an error occurs, remote machine diagnosis can be executed at once.
Two Dimensional Intelligent Feedrate Control Incorporating Stage Dynamics
Authors: Lin Kuan Chen , Huang Chun Hsien
Published: May 2015

This paper studies the dynamic feedrate control problem for mechanical stages performing contouring actions. In modern researches, feedrate is considered as a dynamic factor instead of simple constant value in the traditional methods, and should be properly controlled to meet higher precision standard nowadays. To incorporate the dynamic feedrate in the path interpolation, the so called non-uniform rational B-spline (NURBS) algorithm is utilized to form the fundamental real-time interpolation structure of this research. The result of a sophisticated intelligent feedrate control design is then proposed where the system feedrate is real-time determined based on both the feedback of the path curvature and the measured contour error. Experiments and comparative studies for free-form paths are also conducted where the results show that the proposed design indeed can provide significant precision improvement in overall contouring performance in contrast to the traditional method. Therefore, the effectiveness and the goal of the proposed method can be verified which suggests that the entire scheme has the potential for real industrial applications.
Numerical Simulation of Nanoindentation of Single Wall Carbon Nanotube Reinforced Epoxy Composite
Authors: Le Minh-Tai , Huang Shyh Chour
Published: May 2015

Polymer/Carbon nanotube nanocomposites have attracted major research and commercial interests due to their superior mechanical and electrical properties. Characterizing mechanical properties of these nanocomposites has been always a challenge. The present study is to develop representative volume element method for modeling of nanoindentation behavior of Epoxy/Single wall carbon nanotubes (SWCNTs) nanocomposites that have nonlinear elastic reponse using finite element analysis. A series of two dimensional simulations were done to obtain stress-strain curve and load-displacement response of elastic-plastic material. The results indicated that the nanoindentation finite element models were able to simulate the loading-unloading responses of the Epoxy/SWCNTs nanocomposites. Besides, the relative influences on the load-displacement response are investigated, including mesh geometry, indenter radius and friction coefficient. Furthermore, these simulated results show good agreement with experimental data from literature. The reasearch results are very useful for studying the nanosize scale material properties such as hardness as well as elastic modulus of Polymer/Carbon nanotube nanocomposite in the future.
Characterization of the Electrically-Actuated Micro Circular Plate
Authors: Liu Chin Chia , Yang Chuang Chin
Published: May 2015

In this study presents a hybrid numerical scheme comprising the differential transformation method and the finite difference approximation technique to analyze the nonlinear dynamic response of the micro circular plate. The analysis takes account of the axial residual stress and hydrostatic pressure acting on micro circular plate upper surface. The effects of the residual stress, initial gap height, and thickness on the pull-in voltage of the micro circular plate are systematically explored. Overall, the proposed method provides an accurate and versatile means of analyzing the complex nonlinear behavior of the electrostatically-actuated microstructures.
Optimization of Composite Laminates for Fundamental Frequency
Authors: Hwang Shun Fa , Lin Yi Lung , Chen Yuder
Published: May 2015

To maximize the fundamental frequency of composite laminates, a hybrid optimization algorithm which combines the respective merits of the genetic algorithm and the simulated annealing algorithm is adopted. This hybrid algorithm also incorporates adaptive mechanisms designed to adjust the probabilities of the cross-over and mutation operators. Then, this algorithm is applied to optimize the fiber angle of each layer of a composite laminate such that its fundamental natural frequency is maximized. The results indicate that this hybrid optimization algorithm could quickly find the optimal fiber angles and maximize the fundamental frequency, even under complicated choices of fiber angle and boundary conditions.
Performance Degradation Prediction for a Hydraulic Servo System Based on Elman Network and Support Vector Regression
Authors: Zhang Ji Chang , Lu Chen , Liu Hong Mei
Published: May 2015

Hydraulic servo system is highly nonlinear. Building an accurate model of the system and predicting its remaining life are difficult. Thus, this study focuses on the prediction of the Hydraulic servo System based on Support vector regression (SVR). Elman neural network is utilized to build an observer to estimate the normal state output. The residual that contains a large amount of fault information is obtained, by calculating the difference between the estimated and actual values. Then we defined degradation index (DI) value which reflect the health of the system to normalize the residual. Lastly, a prediction model based on SVR established. The algorithm is verified by experiment.
A Method for Migrating Applications to Clouds
Authors: Lin Jyh Jong
Published: May 2015

For the advances of Cloud Computing technologies in recent years, cloud applications have been popularity for their rich set of features. The advantages of cloud applications include that users can utilize them in a low cost-, threshold-, and risk-way; these applications can be quickly deployed on the clouds without duplication of work. Therefore, their practical use on business with promising values can be expected. As such, cloud applications are recognized as a trend for the next generation of business applications, and hence how to migrate these on-premise applications to the clouds becomes a desired field in the literature. For this need, we present a migration method that addresses the cloud features and the migration of on-premise applications into the clouds.
A Storage-Independent Model for SPARQL-to-SQL Translation Algorithms
Authors: Son Ji Seong , Kim Jeong Dong , Baik Doo Kwon
Published: May 2015

This paper proposes a storage-independent model for SPARQL-to-SQL translation algorithm based on relational view. During the development of Web ontology researches, the study for translation from SPARQL to SQL still remain issue. Previous researches focus on efficient and complete translation from SPARQL queries into equivalent SQL queries. However, these translation algorithms depend on specific structure of storages. When we modify the structure of storage, the translation algorithm also should be modified suitable changed structure of storage. This motivates us to study the issue of a model for independent use upon storage structures of an algorithm, which can then be guaranteed independency between translation algorithms and storages by generating relational view, and it improves application and usability of a translation algorithm. In addition, this paper show experiment result about accuracy and no data loss rate of query results on several storages.
A Study of Cloud Computing Based Context-Aware Healthcare App
Authors: Wang Shu Lin , Kuo Mu Hsing , Chen Hung Ming , Kushniruk Andre , Borycki Elizabeth
Published: May 2015

This study adopts usability evaluation method for evaluating the user's acceptance of a Cloud Computing based context-aware Personal Healthcare Records (PHR). The system features include basic phys-iological measurement, life style management, etc. It exploits the so called “polling scheme for Bluetooth” and multi-device automatically reading physiological measurements to achieve the efficacy of context-aware. Moreover, the entire personal health records can be transmitted synchronously into a Cloud system in real time. To evaluate the usability, we conduct an experimental test on the prototype system. We recruit 100 par-ticipants for the evaluation. The study results show that the participants have high rating of positive response to the system usability. Keywords: health care, personal health records, context-aware, cloud-computing, usability .
An Anonymous NFC-Based Payment Protocol
Authors: Luo Jia Ning , Yang Ming Hour
Published: May 2015

In this paper, we propose an anonymous NFC-based payment protocol (ANP) using NFC phones in a mobile payment framework. Our protocol is compatible with EMV standards, and can be integrated into an NFC-enabled mobile device serving as a virtual credit card. Each role in the framework can only gather partial user information. Our protocol achieves anonymity, in which only the bank knows a user’s real identity. TSM and the merchants are unable to break the anonymity. In a transaction, none can build up full relationship between a user’s identity and his account, his card information or transaction records.
An Energy Balancing Cross Layer Scheme for Long Lifetime Wireless Sensor Networks
Authors: Huang Yung Fa , Tan Tan Hsu , Wang Yau Der , Chen Young Long , Wang Neng Chung
Published: May 2015

In this paper, we propose an improved routing algorithm to prolong network lifetime of wireless sensor networks (WSNs) by combining the shortest hop routing tree (SHORT) algorithm and the, turn off redundant node (TORN) MAC layer protocol to cross layer SHORTORN scheme. Moreover, to prolong the lifetime of the first node death (FND) in networks, the rate of energy consumption should be balanced for all nodes. Therefore, this paper further proposes a load balancing SHORTORN scheme by combining the weight and energy-aware, called energy-aware weight-based SHORTORN (EWSHORTORN). The proposed EWSHORTORN algorithm lets more nodes share the load of the leader and balances the opportunity of data relaying to all nodes. The proposed load balancing scheme allocates energy consumption load to be more uniformly among all nodes, thus the FNL can be prolonged evidently. Simulation results show that the proposed EWSHORTORN outperforms the SHORT scheme with double lifetime of FND.Keywords: wireless sensor networks, network lifetime, cross layer protocol, load balance.
An Intelligent Mouse Wheel-Design Concept and Application
Authors: Lee Kuo Wei
Published: May 2015

The virtually multiple mouse wheels is a new input device; however, as it has not yet been supported by application software, the left scroll and right scroll can only operate a few software functions. In this study, computer software is combined with a virtually multiple mouse wheel to intercept left and right scroll signals in the background, which are converted into the start signal of software and sent to the application software in order that software functions can be operated. The left scroll and right scroll operate the preset function, and the user software interface implemented in this study enables the user to set the function to be operated, thus, meeting different users' requirements. In addition, the software interface can detect the software of the mouse cursor, and the mouse wheel function is automatically adjusted according to the software. This mouse wheel not only senses the different scroll positions of the finger, it also automatically distinguishes different software environments, which provides diversified software function responses, thus, it is called the intelligent mouse wheel.
Resistive Switching Characteristics in Boron Doped Zinc Oxide Films
Authors: Chiu Fu Chien
Published: May 2015

In this work, metal/oxide/metal capacitors were fabricated and investigated using transparent boron-doped zinc oxide (ZnO:B) films for nonvolatile memory applications. Both top and bottom electrodes are tungsten. The average value of transmittance of ZnO:B films grown on silicon substrates is found to be about 91% in the visible light region. According to the relationship between transmittance and wavelength, the optical band gap of ZnO:B films is determined to be about 3.26 eV. The temperature dependent current-voltage curves show that the current density increases with increasing temperature in low-resistance state (LRS), meanwhile, the current density decreases with increasing temperature in high-resistance state (HRS). From the resistive switching behavior of the W/ZnO:B/W memory devices, the reset voltage which triggers the memory devices from an LRS to an HRS is independent of temperature. On the other hand, the set voltage which triggers the memory devices from an HRS to an LRS is increased with temperature.
Home Security Service Enhanced with Information Stations
Authors: Li Wu Jeng , Tung Shu Chu , Huang Shih Miao
Published: May 2015

This research enhances a home security service with information stations. The service is based on a web-based multiple stations supervisory control framework. A service server (or cloud) kept in a company to serve numerous homes for security monitoring. Arduino controllers are used as home security controllers. An Arduino controller senses door switch, motion detection, smoke detection, gas detection, CO detection, an emergency button, RFID tag, and a spare sensing contact. The controller also drives door lock, two relays to perform security task. RFID is used to help personnel in/out management and alert enable/disable. The controller reads inputs, uploads input/output data to the service server, executes commands from the server, and drives output continuously. Camera servers are added to a house to provide video surveillance. Camera alert events are sent to the service server. Information stations, like earthquake alert station and weather station, are established in the server to provide environmental information. Users can subscribe certain information data and put them in the control laws of the Arduino controllers with condition control. With input/output authorization, the home security of one user is associated with others. Therefore, the whole security service forms a social security group.
P-AODV: Energy-Aware Routing for Wireless Mesh Networks
Authors: Yu Chih Min , Yu Yih Bin , Chu Chun Chih
Published: May 2015

This paper proposed an energy-aware routing method, P-AODV. Based on the AODV routing protocol, this study designed a passive power control (PPC) algorithm to enhance energy efficiency. The proposed method includes signal detection and power setting phases. During the signal detection phase, the source node broadcasts the route request packets (RREQ) and the downstream intermediate node calculates the optimum power level at the upstream intermediate node according to the received signal strength indicator (RSSI) after receiving the RREQ. During the power set phase, the destination node returns the RREQ packet to notify the power level of the upstream nodes to the source node. After that, all nodes from the source node to the destination node engaged in transmission will transmit data in a coordinated power level. As indicated by the computer simulation results, P-AODV could have 30% higher energy efficiency than traditional AODV. This PPC algorithm could also be used in wireless mesh networks (WMNs).
POI Detection and Route Identification Using Smartphone Sensor Data
Authors: Kim Je Min , Baek Hae Jung , Park Young Tack
Published: May 2015

In this paper, we represent approaches for detecting users’ POIs and identifying personal routes based on temporal smartphone sensor data, including GPS. POIs and routes of users are factors that affect prediction of a traveling route. However, recording user destinations and the routes of training data is almost impossible when building a route model. Thus, we propose algorithms that automatically extract the points of destinations and routes using GPS.