bluuebunny/crossref_metadata_2025 huggingface dataset:
FCM based Hybrid Evolutionary Computation Approach for Optimization Power Consumption by Varying Cars in EGCS
Authors: Chen Ta Cheng , Lee An Chen , Huang Shih Lun
Published: May 2015

Elevators are the essential transportation tools in high buildings so that Elevator Group Control System (EGCS) is developed to dynamically layout the schedule of elevators in a group. In this study, a fuzzy cognitive map (FCM) based computation approach by using particle swarm optimization (PSO) has been applied for estimating the minimum required elevators in EGCS so as to minimize the power consumption with predefined service quality. In literature, most of the studies were mostly focused on the scheduling strategy in order to have more efficient elevator dispatching or energy saving. However, the minimum numbers of elevators should be activated to sustain the required service quality. In other words, the maximum average waiting time for customers should be less than the predefined length of time while the minimum numbers of elevators are working in EGCS. The experimental results show that the performance of the proposed FCM based approach is feasible to estimate the required power consumption and average waiting time so as to decide the optimal numbers of elevators in EGCS.
Depositing High-Performance Conductive Thin Films by Using Atomic Layer Deposition
Authors: Tsai Fa Ta , Hou Hsi Ting , Chao Ching Kong , Chang Rwei Ching
Published: May 2015

This work characterizes the mechanical and opto-electric properties of Aluminum-doped zinc oxide (AZO) thin films deposited by atomic layer deposition (ALD), where various depositing temperature, 100, 125, 150, 175, and 200 °C are considered. The transmittance, microstructure, electric resistivity, adhesion, hardness, and Young’s modulus of the deposited thin films are tested by using spectrophotometer, X-ray diffraction, Hall effect analyzer, micro scratch, and nanoindentation, respectively. The results show that the AZO thin film deposited at 200 °C behaves the best electric properties, where its resistance, Carrier Concentration and mobility reach 4.3×10-4 Ωcm, 2.4×1020 cm-3, and 60.4 cm2V-1s-1, respectively. Furthermore, microstructure of the AZO films deposited by ALD is much better than those deposited by sputtering.
A Kansei-Oriented Approach for Product Form Design
Authors: Lin Chyun Chau , Hung Chih Ching
Published: May 2015

The growing users’ awareness in practicing individual life style have led to diverse living products in business markets. Hence, how to effectively meet the emotional or kansei needs of target users become crucial issues for product designers. This article aims to propose a revised Kansei Form Composition (KFC) to more effectively analyze and develop product styling. The updated approach not only integrates kansei thinking and Morphological Analysis but also employs factor weights and flash cards. During the analyzing stages, the new KFC applies visual images as interfaces to induce latent demands of the target interviewers. Related kansei adjectives and form elements are selected as main design factors. Furthermore, weights of the factors are identified through the interviewees’ feedbacks. Core flash cards of design factors are submitted. The revised approach suggests the core flash cards as feasible inspiration tools to the designers in the idea development stages. By using the new KFC, timer form designs for LOHOS involvers are demonstrated. The authenticity and applicability is verified that the revised KFC can catch the preference of user needs more effectively.
Using the Event Classifier System to Forecast the Stock Price: An Empirical Study of Taiwan Financial Market
Authors: Huang Chien Hua , Yo Janq Lin , Chen An Pin
Published: May 2015

This study was meant to construct an intelligent financial investment decision-making system capable of knowledge mining, performing assessments and evolving on its own based on event assessments by applying the classifier system in the artificial intelligence methodology. It is referred to as the Event Classifier System (ECS). In order to prove the feasibility and validity of the developed method and model, this study designed and developed the transaction model for event classifiers by creating the strategic modules for institutional investor’s holdings-related events and ex-right (dividend)-related events. Results of this empirical study show that the ECS established in this study had superior return on investment (ROI) performance than the Taiwan Weighted Stock Index for the same period of time.
Fusing Multiple Strategies in Population-Based Optimization Algorithm
Authors: Chen Chang Huang
Published: May 2015

A multi-strategy based population optimization, referred to MSPO, is proposed in this paper. The algorithm is developed by hybridizing four different population-based algorithms, bare bone particle swarm optimization, quantum-behaved particle swarm optimization, differential evolution and opposition-based learning. It aims at enhancing the exploration and exploitation capability of population based algorithm for general optimization problem. These four options are randomly selected with equal probability during the search process. The proposed algorithm is validated against test functions and then compares its performance with those of particle swarm optimization and bare bone particle swarm optimization. Numerical results show that the performance is increased greatly both in solution quality and convergent speed.
Study of CIGS Thin Films Solar Cell P2 Layer Scribing Using UV Laser
Authors: Chen Dyi Cheng , Chen Ming Fei , Chen Ming Ren
Published: May 2015

This study will be UV (355nm) laser processing system as a carrier. Using laser direct forming for CIGS solar cell technology P2 layer of stainless steel studied electrode insulated characteristic. To explore the impact of this process on the way to a stainless steel substrate P2 film sizes using its laser different frequency parameters. The experimental results indicated that the electrode pattern of the experiment was similar to that of the simulation result, and the laser process has good results in scribing processing. The analysis results confirm the effectiveness of the laser apparatus when applied to a CIGS solar cell P2 layer of stainless steel.
A New Hybrid-Driven Five-Bar Linkage Mechanism
Authors: Soong Ren Chung
Published: May 2015

A new two-degree-of-freedom hybrid-driven five-bar linkage mechanism is presented. The proposed linkage mechanism has two input links: one rotational input link and one linear input link, driven by a constant-speed motor and a servomotor, respectively. The rotational input link rotates with a constant angular speed, and the linear input link follows a reciprocating motion along a specified linear guide fixed on the rotational input link. The configuration was studied, and a kinematic analysis was performed. An example is provided to verify the feasibility and effectiveness of this methodology.
Contact Ratio of Space Curve Meshing Skew Gear Mechanism
Authors: Lv Yue Ling , Chen Yang Zhi , Dai You Ming
Published: May 2015

The Space Curve Meshing Skew Gear Mechanism (SCMSGM) is an innovative gear mechanism proposed by the present authors. In this study, the contact ratio for the SCMSGM is deduced. By analyzing the eight influencing parameters on the contact ratio for the SCMSGM, the principal influencing parameters on the contact ratio for the SCMSGM are obtained. This study provides a theoretical basis to calculate and select the contact ratio for the SCMSGM.
Crank Arrangement on the Dynamics of a Quadruped Walking Machine
Authors: Chen Fu Chen , Wu Shang Chen , Chen Yung Cheng
Published: May 2015

The purpose of this study is to investigate the effect of crank arrangement on the dynamics of a quadruped walking machine. The dynamic characteristics of the walking machine, including the stance leg sequence, pitch angle and dynamic response of the quadruped walking machine are investigated and compared with the existing design. The results show that the phrase angle between front and rear legs on the same side should be 0o or 90o and the one between the legs on the different sides should be 180o. The results of this study can serve as a reference for future design and optimization of quadruped walking machines.
Creative Mechanism Design on Stroller Structure
Authors: Yeh Yen Liang , Hsu Hsien Jung , Jang Ming Jyi
Published: May 2015

This paper explores the stroller mechanism by using the creative mechanism method. These creative mechanism methods include the freedom method and the link assortment method. The analysis modeling is the simply four link mechanism. From this analysis result, this can be known that the stroller mechanism changes from four link to three link on the operation type. The mechanism of the stroller becomes the structure of the stroller by using the latch lock. Therefore, the creative mechanism method can be used to analyze the one degree freedom mechanism. This paper uses the six link to analyze the stroller mechanism. Last, this can get the nine new mechanism of the stroller
Characterization of Mechanically Alloyed Al5083 Alloy and Composite and Consolidation by Equal Channel Angular Pressing
Authors: Kondaiah G. , Chandra Sekhar K. , Chaithanyakrushna B. , Ravisankar Balasubramanian , Kumaran S.
Published: May 2015

In the present work a comparative study was carried out on consolidation of Al-5083 alloy and 5wt. % nanoyttrium oxide powders by Equal channel angular pressing (ECAP). The powders were milled for 10, 15 and 20 hrs using planetary ball mill under optimized process parameters. The milled powders were characterised by X-ray diffraction (XRD) and scanning electron microscopy (SEM). Milled powders exhibit nanocrystalline single phase after 10hrs. The crystallite size after 20 hr of milling, alloy and composite powders were found to be 23nm and 57nm respectively. The 20hr milled alloy and composite powder was consolidated by equal channel angular pressing (ECAP) through 90o die channel angle using route-A for two passes with and without back pressure. Density of ECAPed samples were measured using Archimedes principle. The highest density was found as 96% for the alloy after 2 passes without backpressure and sintering and 94% for the composite after 2 passes with back pressure and sintering.
Development of Barrel Heating via Induction in Injection Molding Machine
Authors: Bui Huy Tien , Hwang Sheng Jye
Published: May 2015

A barrel heating system will be developed by using induction heating instead of current resistance heating. The experiment results showed the induction heating system can change successfully the current resistance heating system in heated the barrel of injection molding machine. A working coil coupled with magnetic concentrator bars was also considered. Finally, the uniformity of temperature distribution is compared between two barrel heating systems.
Finite-Element Analysis of the Magnetostatic Field of a Coaxial Magnetic Gear Device
Authors: Wu Yi Chang , Hsu Han Ting
Published: May 2015

This paper presents the magnetostatic field analysis of a coaxial magnetic gear device proposed by Atallah and Howe. The structural configuration and speed reduction ratio of this magnetic gear device are introduced. The 2-dimensional finite-element analysis (2-D FEA), conducted by applying commercial FEA software Ansoft/Maxwell, is performed to evaluate the magnetostatic field distribution, especially for the magnetic flux densities within the outer air-gap. Once the number of steel pole-pieces equals the sum of the pole-pair numbers of the high-speed rotor and the low-speed rotor, the coaxial magnetic gear device possesses higher magnetic flux densities, thereby generating greater transmitted torque.
Incipient Faults Identification in Gearbox by Combining Kurtogram and Independent Component Analysis
Authors: Guo Yu , Wu Xing , Na Jing , Fung Rong Fong
Published: May 2015

Envelope analysis is a popular incipient fault identification tool for rolling element bearings (REBs) and gears. However, in some harsh conditions where more than one fault of REBs and gears exists simultaneously in a gearbox. In general, only the characteristic frequencies of the stronger vibration can be exposed clearly, and the others may be missed by conventional envelope analysis. To address this issue, an incipient faults detection scheme combining the kurtogram and independent component analysis (ICA) for gearbox faults diagnosis is proposed in this paper. In the proposed scheme, multi-channel vibrations are acquired from the gearbox synchronously at first. Subsequently, the vibration envelopes from each channel are extracted by the novel fast kurtogram algorithm. Then, the independent component analysis algorithm is utilized to separate the envelopes. As a result, the independent envelope components corresponding to different sources are obtained. Finally, the characteristic frequencies of the incipient faults of rolling element bearings and/or gears in a gearbox can be clearly exposed in envelope spectral plots. An experiment on a gearbox test rig which has both a REB fault and a gear fault is conducted to compare the conventional envelope analysis scheme and the proposed scheme. Test results show that the proposed scheme is more effective to identify the incipient faults of REBs and gears simultaneously existing in a gearbox.
Performance of a Lead Rubber Damper under Cyclic Lateral Loading
Authors: Kim Hee Cheul , Lee Young Hak , Park Ha Eun , Kim Dae Jin , Park Jung Woo , Park Jin Young
Published: May 2015

This study investigates the performance of a new lead rubber damper (LRD), which is more advanced than existing lead-rubber based isolation devices. In contrast to the existing devices, multiple lead cores are installed in the LRD in order to optimize the behavior of the laminated rubber and lead. It is able to perform effectively under the application of shear force. An experiment was performed to investigate its dependency on the level of shear strain and frequency. The damping ratio, energy dissipation capacity and effective stiffness of the device were also evaluated.
Prediction of Tribological Experiment Factors Relationship by Grey Theorem
Authors: Hsieh Yi Chern , Doan Minh Hai , Ke Ming Heng , Chen Zhao Nan
Published: May 2015

Surface interaction is now one of the important engineering problems and methodologies to minimize wear can save large sums of money for repairing the machine parts. We try to minimize the number of experiment about the relations of normal load, lateral force, rotation speed, and resistance by grey theorem. Based on this, GM(1,1) model and RGM(1,1) model are constructed to predict the resistance under different controlled variables. And local grey analysis is for finding the degree of these variables affecting the value of resistance. Moreover, residual test is used to estimate the precision of the prediction. Results show that two models have good performance for prediction about 94% more accuracy. As for grey relation analysis, normal force is the most important variable to affect the resistance value. It also finds that increasing normal stress causes more friction loss of the parts. Since grey prediction has good performance in this study, we will combine Taguchi method and grey methodology to do more detail research on other tribological problems in the forth coming papers. Keywords: Tribological, Grey Theorem, Experiment Factors.
Rotating Ring with Thermo-Elastic Damping and Point Masses
Authors: Kang Seok Joo , Kim Jung Hwan , Kim Ji Hwan
Published: May 2015

Most of structures are inevitable for imperfections. In this regards, evaluation of imperfection is more important for sensitive devices such as the resonators for high level of accuracy. In this work, micro ring structure is studied with arbitrarily located point masses. As a model, rotating thin ring is used and heat conduction effects are considered with the thermo-elastic damping effects. Using mode shapes of the ring, analytical model is introduced. For analyzing micro structure, various level of Quality factor (Q-factor) are studied. Furthermore, influences of concentrated random point masses are considered by the split of the natural frequencies.
Safety Assessment of Heave Compensator Using Multi-Body Dynamics
Authors: Hwang Sung Gu , Kim Gwi Nam , Jung Yong Gil , Huh Sunchul
Published: May 2015

Heave Compensation system minimizes vessel heave motion during drilling operation of drillship. Heave compensator plays a role as damping form heave motion of drillship such as principle spring of car suspension system. The load transfers on the parts of heave compensator. Stress and deformation of all parts is evaluated to diagnose the stability of the compensator. This study makes a decision on the safety of structure by ANSYS 12.0v workbench.
Squeal and Thermal Analysis of Automobile Disc Brake Rotors
Authors: Gau Wei Hsin , Chen Kun Nan , Hung Chin Yuan
Published: May 2015

The brakes of an automobile are among the most critical components regarding the safety features, and disc brakes are the most common type used in passenger vehicles. In this research, the squeal phenomena of a swirl-vent brake rotor and the thermal analysis of two straight-vent brake rotors, made of cast-iron and aluminum-alloy, are investigated. For the squeal analysis, finite element models are created and analyzed using a prestressed modal analysis with complex eigen-solutions. For the thermal analysis, heat transfer coefficients on the surfaces of a rotor as functions of time are first estimated by CFD simulation, and then imported to a thermal analysis program as the boundary condition. Finally, the temperature distribution of the rotor can be calculated by finite element analysis. The simulation results show that vortices will arise in the vented passages of straight-vent rotors, which means less heat carried away and lower heat transfer coefficients. The swirl-vent brake design is clearly better for thermal ventilation. Furthermore, under the same condition, aluminum-alloy rotors exhibit more uniform temperature distributions with smaller temperature gradients than cast-iron rotors do.
The Engineering Design of Helical Spur Gear Transmission with Single Gear Pair for Electric Scooter
Authors: Hsieh Long Chang , Chen Tzu Hsia , Tang Hsiu Chen
Published: May 2015

Traditionally, the reduction ratio of a spur gear pair is limited to 4 ~ 7. For a spur gear transmission with reduction ratio more than 7, it is necessary to have more than two gear pairs. Consider the cost of production, this paper proposes a helical spur gear reducer with one gear pair having reduction ratio 19.25 to substitute the gear reducer with two gear pairs. Based on the involute theorem, the gear data of helical spur gear pair is obtained. According to the gear data, its corresponding engineering drawing is accomplished. This manuscript verify that one spur gear pair also can have high reduction ratio (20 ~ 30).
Thermal Analysis on Finned Heat Sink with Thin Porous Layers
Authors: Jeng Tzer Ming , Tzeng Sheng Chung , Lin Dong Jhen
Published: May 2015

This work experimentally explored the free convection heat transfer characteristics of finned heat sink with sintered-metal-beads layers. It has been proven that the metallic porous media can enhance the forced convection heat transfer efficiently. This work sintered the metal beads to adhere onto the both side surfaces of each radial plate fin of the metallic heat sink, and investigated whether the sintered-metal-beads layers promote the free convection heat transfer or not. The 0.5~0.85mm-diameetr bronze beads were employed. They were sintered smooth with the radial plate fins of the copper heat sink by thin layers at high temperature. The experimental groups were the plate-shape sintered-metal-beads and strip-shape sintered-metal-beads heat sinks. The pure copper finned heat sink was set as the control group. The results demonstrated that the thermal resistances of the experimental groups were separately 20.7% and 11.6% higher than that of the control group at the smaller temperature difference between the heated surface and the ambient (△T≈30°C); while the thermal resistances of the experimental groups were separately 15.3% and 6.9% higher than that of the control group at △T≈60°C. In general, the present sintered-metal-beads layers cannot strengthen the free convection heat transfer.
Thermal Performance in a Rectangular Divergent Channel with Parallel Angled Ribs
Authors: Lee Myung Sung , Ahn Soo Whan
Published: May 2015

Heat transfer and friction factors of fully developed turbulent flows in the stationary rectangular divergent channel with parallel angled ribbed have been investigated experimentally. Four different parallel angled ribs (α = 30, 45, 60, and 90-deg) are placed to the channel’s two opposite walls as well as to the channel’s one sided wall only, respectively. The ribbed rectangular divergent channel has the inclination angle of 0.72deg at the left and right walls, corresponding to Dho/Dhi =1.16. The divergent channel has the cross-section of100 x75 mm2 at inlet and 100 x 100 mm2 at exit. The ribbed walls are manufactured with a fixed rib height (e) =10 mm and the ratio of rib spacing (p) to height (e) = 10.
Analysis of DeNOx by SNCR in a Carbon Monoxide Boiler
Authors: Yeh Chun Lang
Published: May 2015

This study investigates numerically the NOx reduction by SNCR in a CO boiler. The combustion and fluid flow in the FPC CO boiler is examined with emphasis on the influence of the injection position of reducing agent on NOx reduction. Simulation results indicate that NOx is formed mainly in the high temperature region near the boiler inlet where the mixing caused by swirler is strong. Among the reducing agent injection positions investigated, the boiler inlet has the best NOx reduction efficiency, while 0.5m behind the boiler inlet is the worst. When reducing agent is injected from the boiler inlet, a NOx reduction efficiency of 51% is achieved if default amount of reducing agent is injected. When reducing agent is injected from 3.6m behind the boiler inlet, the NOx reduction efficiency is 14% for default amount of reducing agent. The injection position of reducing agent has a siginificant influence on the NOx reduction efficiency. Better injection positions for NOx reduction should be where reducing agent can pass through a region where temperature is suitable for the SNCR reaction or residence time of reducing agent in the SNCR reaction region can be longer, e.g., the boiler inlet or the downstream region of the oxidizer lower portion where recirculation exists.
A Multiple Objective Fitness Function Design Scheme for GA-Based Cognitive Engines
Authors: Chae Keun Hong , Liu Hua Ping , Yoon Seok Ho
Published: May 2015

In this paper, we propose a multiple objective fitness function for cognitive engines by using the genetic algorithm (GA). Specifically, we propose four single objective fitness functions, and finally, we propose a multiple objective fitness function based on the single objective fitness functions for transmission parameter optimization. Numerical results demonstrate that we can obtain transmission parameter sets optimized for given transmission scenarios with the GA-based cognitive engine incorporating the proposed objective fitness function.
A Side-Peak Cancellation Scheme for Unambiguous BOC Signal Tracking
Authors: Chae Keun Hong , Liu Hua Ping , Yoon Seok Ho
Published: May 2015

In this paper, we propose a side-peak cancellation scheme for unambiguous BOC signal tracking. We obtain partial correlations using a pulse model of a BOC signal, and then, we finally obtain an unambiguous correlation function based on the partial correlations. The proposed correlation function is confirmed from numerical results to provide an improved tracking performance over the conventional correlation functions.
Fabrication and Characterization of Amine Compounds Synthesized from Carbon Dioxide and Ammonia Water Using Transition Metal Doped TiO2
Authors: Abidov Amir , Allabergenov Bunyod , Xiao Fei Yi , Jin Xing , Jeong Soon Wook , Park Beom Hyeok , Kim Hee Joon , Jhee Kwang Hwan , Kim Sung Jin
Published: May 2015

Capture and reforming fume gases from atmosphere became an ultimate task recently. Photocatalytic reduction to useful compounds is a key to the future. Photoinduced reduction of carbon dioxide and ammonia aqueous solution into amine compounds at room temperature and atmospheric pressure using transition metal doped titanium dioxide is reported in this paper. UV-visible spectra showed a high absorbance at 200 nm wavelength which is a characteristic of urea. High Performance Liquid Chromatography revealed presence of amine compounds and urea was found a main product of photocatalytic reaction.
Analysis for Temperature Rise of a Three-Phase Four Limbs Transformer by Soil Structure with DC Bias
Authors: Yang Yong Ming , Liu Xing Mou , Duan Xu
Published: May 2015

In this paper, a method for earth potential computation of layered soil structure is discussed. To calculate thermal field of the transformer with dc bias, simulation models using MAXWELL and COMSOL are proposed. Based on the electromagnetic analysis, electric power loss resulted in temperature rise is calculated. Under the case of normal operation of transformer, a research was carried out to compare the abnormal changes of temperature of transformer. It worked out that if there are different DC parts in transformer, the loss will increase with DC bias and the temperature of transformer core will also increase. If it is increasing continuously and no preventive measures are taken soon, the thermal aging of some parts in transformer will speed up and gradually affect the normal operation of transformer. The research lays the groundwork for further research of transformer DC bias and aging.
Robustness Enhancement of GPS Vector Tracking Loop Using the Fault Detection and Exclusion Algorithm
Authors: Jwo Dah Jing , Hsieh Meng Hsien
Published: May 2015

Although the vector tracking loop architectures provide several important advantages, they suffer some fundamental drawbacks. The most significant drawback is that failure of tracking in one channel may affect the entire system and lead to loss of lock on all satellites. The other drawback is that errors in the navigation solutions may degrade the accuracy of the tracking results. For robustness improvement of the vector tracking loop, the EKF based receiver autonomous integrity monitoring (RAIM) and fault detection and exclusion (FDE) algorithms are developed to prevent the error of one channel from spreading into the vector tracking loop. The RAIM is used to check the possible fault in the pseudorange and the pseudorange rate; the fault detection and exclusion mechanism is employed for excluding the abnormal satellite signal to prevent the failure of one channel from spreading into the entire tracking loop. The feasibility of the proposed method will be demonstrated. Performance assessment and evaluation for the proposed approach will be carried out.
2-Phase Precision Alignment Visual Feedback Control System
Authors: Wen Chih Chin , Lin Shi Wei
Published: May 2015

This paper introduces an alignment method using machine vision feedback control method. A panel is placed on a XXY table and its posture is inspected by image sensors with a frame grabber. The alignment of the panel is corrected by adjusting its positions until the amount of misalignment converges into a small tolerance error. Two-phase control process is also derived with this image acquisition design. Applying this proposed control method, long distance moving requirement and better alignment precision performance request can be also guaranteed. Experimental results are shown to demonstrate the feasibility of this alignment control system.
A Hybrid Intelligent System for Wind Shear Encountered Aircraft Landing Control
Authors: Juang Jih Gau , Yu Shuai Ting
Published: May 2015

This paper presents sliding mode control (SMC) to aircraft automatic landing system (ALS), and uses genetic algorithm (GA), particle swarm optimization (PSO) and chaos particle swarm optimization (CPSO) to adjust controller parameters. When wind shear is encountered, the aircraft automatic landing system can not be used in such environment during serious wind speed changes. The proposed intelligent control scheme can help the pilots guide the aircraft to a safe landing in wind shear condition. PID control and cerebella model articulation controller (CMAC) are applied to the controller design.
Energy Comparisons of the Adaptive Tracking Control for a Linear Drive System
Authors: Chen Kun Yung , Fung Rong Fong
Published: May 2015

In this paper, a mechatronic motor-table system is realized to plan the minimum input electrical energy trajectory (MIEET) based on Hamiltonian function. In this system, the adaptive tracking controller is designed to track the MIEET to overcome the nonlinear friction and external disturbance. Moreover, trapezoidal trajectory (TT) and regulator control are compared with the MIEET by the adaptive tracking controller. Finally, it is concluded that the MIEET based on the adaptive tracking controller can obtain the minimum input electrical energy and robustness performance for the mechatronic motor table system.
Performance Assessment of Hydraulic Servo System Based on Radial Basis Function Neural Network and Mahalanobis Distance
Authors: Wang Zhen Ya , Lu Chen , Liu Hong Mei , Chen Zi Han
Published: May 2015

The performance assessment of hydraulic servo systems has attracted an increasing amount of attention in recent years. However, only a few studies have focused on practical approaches in this field. A performance assessment method based on radial basis function (RBF) neural network and Mahalanobis distance (MD) is proposed in this study; the method is quantized by the performance confidence value (CV). An observer model based on RBF neural network is designed to calculate the residual error between the actual and estimated outputs. The root mean square (RMS), peak value, and average absolute value are then extracted as the features of residual error, which serve as the coordinates of the feature points. Lastly, the MD between the most recent feature point and the constructed Mahalanobis space is calculated. The condition of the system is assessed by normalizing MD into a CV. The proposed method is proven to be effective by a simulation model in which leakage faults are injected. Experimental results show that the proposed method can assess the performance of hydraulic servo systems effectively.
TIG Auto Welding Process Using Adaptive Wavelet Neural Network Controller
Authors: Chen Yen Bin , Lee Yung Lung , Hsu Shou Jen , Chang Chin Chun , Chen Yi Wei
Published: May 2015

The study proposed adaptive wavelet neural network controller can achieve good and precise welding control performance and use synchrotron radiation research center developed multi-gun group automatic welding system to verify the validity of the research method. Multi-gun group welding system is applied in Taiwan Photon Source (TPS). Storage ring aluminum alloy vacuum chamber of Taiwan Photon Source .In the past aluminum alloy vacuum chamber welding, it all depends on the empirical welding rule of operator to give appropriate welding current, argon flow, wire feed speed and welding speed for control. Therefore, the paper uses automatic welding skill, which takes National Instruments PXI-8180 system as basic structure, and adaptive wavelet neural network controlled four optimized parameters, I.E. welding current, wire feed speed, flow rate of argon gas and welding speed, The vacuum chamber pressure value is also up to 6.2X10-10Torr/mA. It is successfully applied to the TPS system. Therefore, it can prove the effectiveness and practicality of the method proposed in this study.
On Study Intelligent Heat Dissipation System
Authors: Lee Yung Lung , Hsu Shou Jen , Chen Yen Bin , Chen Yi Wei , Chen Kuei Yi
Published: May 2015

This paper develops an Adaptive fuzzy sliding-mode control system algorithm for active heat dissipation system. In the proposed intelligent controller, The adaptive laws adjust the parameters of the fuzzy logic system on-line based on a Lyapunov function, so that the stability of the system can be guaranteed. Additionally, an error estimation mechanism is investigated to estimate the bound of the approximation error. Based on NI-PXI system, this research combined the (TEC) with a duct heater. It designed a smart control system featured by the new active heat dissipation system. It has been proved that this research proposes the ideas of the active heat dissipation adaptive fuzzy sliding-mode control system which may reach a good condition provided with correct temperature control function. To be more precisely, that can be easily adaptive to any environment. It is equipped with a good capability of tracking and searching.
Hybrid Autonomous Sensor-Based Recognition Fuzzy Mobile Robot System Designs
Authors: Jou Shiang Min , Chen Chih Yung , Feng Hsuan Ming , Chen Hua Ching , Ho Ming Hui
Published: May 2015

The autonomous stratagem combines the concepts of traveling salesman problems (TSP), radio frequency identification (RFID), E-compass wireless networks sensors and the evolutional particle swarm optimization (PSO) to identify the optimal routing paths in the dynamic indoor space. A desired the setting lot as soon as possible. Four active RFID tags amounted in the rectangle type environments and indication of E-compass are proposed to identify the robot position. The routing concept of the TSP is developed by the evolutionary PSO learning scheme to approach the valid routing-path of the mobile robot. The developed mobile robot system, with the proper number of fuzzy membership functions, simultaneously achieves the multiple objectives of avoiding obstacles by the selected shortest routing path.
Health Assessment of Hydraulic Servo System Based on Fractal Analysis and Gaussian Mixture Model
Authors: Wang Xuan , Liu Hong Mei , Lu Chen
Published: May 2015

A hydraulic servo system is a typical feedback control system. Health assessment of a hydraulic servo system is usually difficult to realize when traditional methods based on sensor signals are utilized. An approach for health assessment of hydraulic servo systems based on multi-fractal analysis and Gaussian mixture model (GMM) is proposed in this study. A GRNN neural network is employed to establish a fault observer for the hydraulic servo system. The observer is utilized to simulate the system output under normal state. The residue is then generated by subtracting the estimated output from the actual output. The residue’s feature is extracted by fractal analysis. After the feature extraction, the overlap between the current feature vectors and the normal feature vectors is obtained by applying GMM. The confidence value (CV) can be obtained in advance; this value is employed to characterize the health degree of the current state and consequently implement the health assessment of the hydraulic servo system. Lastly, two common types of fault, namely, burst and gradual, are applied to validate the effectiveness of the proposed method.
Self-Adaptive Fault Detection and Performance Assessment of a Rotary Actuator Based on Residual Analysis
Authors: Li Xin , Lu Chen , Wang Zi Li
Published: May 2015

A rotary actuator that employs hydraulic oil as the power source has a direct rotary structure. It is an important structure and has been widely utilized in aircrafts and ships because of its advantages, including large torque/quality ratio, simple compact structure, and fast dynamic response. Huge damage may be caused when a rotary actuator breaks down during operation. However, only a few studies have focused on fault detection and performance assessment for rotary actuators. In this study, a method that detects the fault in and assesses the performance of the rotary actuator based on residual analysis is proposed. The data in normal state are utilized to build an observer with two radial basis function (RBF) neural networks. One RBF neural network is employed to estimate the expected output required to generate the residuals. The self-adaptive thresholds are obtained through the other RBF neural network. The residual is then inputted into the self-organizing mapping neural network trained by the residual values in normal state to normalize the performance of the rotary actuator into confidences values between 0 and 1. Finally, the detection and assessment of two typical faults of the rotary actuator are simulated. Results verify the efficiency of the proposed method.
Equivalent Circuit Construction of a Novel Ultrasonic Actuator
Authors: Kuo Ying Chyi , Mou Shann Chyi
Published: May 2015

A thin-disc ultrasonic actuator using a piezoelectric buzzer is proposed as the actuating component for the shaft-driving type ultrasonic actuator. By placed the screw constraints on the metal sheet of a buzzer, a 3-phase reflected wave was constituted and propagated based on the purpose locations of constraints. This wave configuration could convert electrical energy to actuate the kinematical power for rotating the rotor. The input and output signals were acquisition according to the single-frequency exciting of system resonant frequency. The dynamic transfer function of a stator was obtained via the system identification technique, and, therefore, one model of a 3th-order equivalent circuit was built in which the dynamic features and electromechanical characteristics were considered based on material oscillating behaviors. Because of the admittance transfer function derived from measured method, it is more representative than that of past issues through the theoretical deduction in materials, physics, and mechanics.
Indoor Map Building by Laser Sensor and Positioning Algorithms
Authors: Juang Jih Gau , Wang Jia An
Published: May 2015

This study uses a wheeled mobile robot (WMR) to explore unknown indoor environment and build up a map of the unknown environment. The robot utilizes laser measurement sensor with a indoor localization system to detect obstacles and identify unknown environment. The localization system provides the position of the robot and is used for map comparison. Fuzzy theory is applied to controller design. The proposed control scheme can control the wheeled mobile robot move along walls and avoid obstacles. The Iterative Closest Point (ICP) and the KD-tree are utilized. With sensed data of obstructions and walls, a map of unknown environment can be generated by curve fitting methods.
A Cloud Multi-Tenant Architecture for Developing Machine Remote Monitoring Systems
Authors: Chen Shang Liang , Hsiao Ying Han , Chen Yun Yao , Lin You Chen
Published: May 2015

This study proposes innovative multi-tenant remote monitoring platform architecture based on cloud with an injection machine manufacturer as cloud data center. This study was designed to develop machine connection mechanism and monitoring module, etc. with machine manufacturers. Under the architecture of this study, machine manufacturers can provide virtualization technology based remote monitoring systems for manufacturing buyers to rapidly develop custom monitoring software. All data storage devices such as servers are provided by the machine manufacturer, and the client side can effectively manage injection machine data by simply renting virtual machine space.
An Efficient Two-Mode Routing Protocol in Dense and Sparse Vehicular Ad Hoc Networks
Authors: Chang Ing Chau , Wang Yuan Fen , Li Chien Hsun , Chou Cheng Fu
Published: May 2015

This paper adopts a two-mode intersection graph-based routing protocol to support efficient packet forwarding for both dense and sparse vehicular ad hoc networks (VANET). We first create an intersection graph (IG) consisting of all connected road segments, which densities are high enough. Hence, the source vehicle leverages the proposed IG/IG bypass mode to greedily forward unicast packets to the boundary intersection via the least cost path of current IG. We then perform the IG-Ferry mode to spray a limited number of packet copies via relay vehicles to reach the boundary intersection of another IG where the destination vehicle resides. NS2 simulations are conducted to show that the two-mode IG/IG-Ferry outperforms well-known VANET routing protocols, in terms of average packet delivery ratios and end-to-end transmission delays.
APP Rush, a Platform of Learning APP Development Skills for Information Management Students
Authors: Tseng Chun Hsiung , Chen Yung Hui , Jiang Yan Ru , Chuang Chu Chun , Wu Jia Hua , Syu Han Ci
Published: May 2015

Developing useful apps has never been an easy task. Although modern mobile phones/tablets have more and more computation power, it is still not possible to treat them as real computers. Hence, many apps rely on external components to provide services. However, this complicates the development of apps. Unlike students in the computer science department, information management students do not have equally solid programming background. App development related courses have a more rigid learning curve for them. In this paper, APPRush, a platform for developing usable apps and for learning app design skills, is proposed. Both students and ordinary app developers can benefit from the resulting platform.
Depth Image Compression and Error Concealment for 3D Video Communication
Authors: Lin Yih Chuan , Hsu Pu Jian
Published: May 2015

In this paper, an error concealment scheme for neural-network based compression of depth image in 3D videos is proposed. In the neural-network based compression, each depth image is represented by one or more neural networks. The advantage of neural-network based compression lies in the parallel processing ability of multiple neurons, which can handle the massive data volume of 3D videos. The similarity of neuron weights of neighboring nodes is exploited to recover the loss neuron weights when transmitting with an error-prone communication channel. With a simulated noisy channel, the quality of compressed 3D video, which is reconstructed undergoing the noisy channel, can be recovered well by the proposed error concealment scheme.
Design and Implementation of Cloud-Dust Based Intelligent System
Authors: Huang Chung Chi , Huang Chung Lin , Huang Cong Hui , Yang Sheng Fone
Published: May 2015

In the paper, design and Implementation of cloud-dust based intelligent system is proposed. For achieving applications of intelligent system, such as records, surveillance, assessments, predictions, diagnosis, prescription, scheduling and fool-proofing checks, an architecture named Cloud-Dust is developed. The intelligent system is separated into the cloud system and the dust system. The dust system contains (1) Wireless sensors network (2) Features extraction circuits (3) Intelligent computing circuits (4) Embedded system. It can play a role as real-time preprocessor very well, just like an intelligent agent. However, the cloud system contains (1) Cloud database (2) Intelligent computing engine (3) Ubiquitous human-machine-interface. It can flexibly use computing resources and integrate information from many different dust systems. By the experiments, we can find the advantages of the cloud-dust based intelligent system. It meets the both needs of real-time and integration for intelligent systems. So it is necessary to develop the cloud-dust based system for design and implementation of the intelligent system.
Energy-Efficient 2-Covered Path Routing for Distributed Wireless Sensor Networks with Variable Transmission Ranges
Authors: Chen Da Ren , Hsu Chiun Chieh , Guo Chun Fu
Published: May 2015

A 2-covered path routing method providing each path with redundant antennas to provide high availability ensures reliable multi-hop communication under practical conditions. In real life, the transmission range of an antenna increases at a rate proportionate to its input power. This paper focuses on the 2-covered path problem in which antennas have discrete transmission power levels. Given a set of n antennas with m available radii, a source point A and a destination B on the plane, we propose three power-aware methods that construct the 2-covered paths between endpoints A and B. These methods are called 2-covered area stretching planning (TASP), and radii shrinking planning (RSP) to reduce power consumption. RSP and TASP are polynomial-time algorithms and save energy up to 96% of that achieved by optimum solutions.
Impact of Informal Network on Opinion Dynamics in Command and Control Network
Authors: Song Xiao , Shi Wen
Published: May 2015

This paper aims to study the opinion dynamics in military command and control (C2) network with the impact of informal network. The authors reviewed recent opinion dynamics models and explored the relationships between formal and informal networks in detail. Then the opinion dynamics model in C2 network was introduced and a hybrid network based on small-world or scale-free network was proposed. Afterwards, the authors studied the opinion dynamics based on the formal C2 network and hybrid network by computer simulations, and found that opinion dynamics with the impact of informal network is almost independent on the network properties (including small-world, scale-free and rewiring probability) but dependent on the scale of the informal network. And it is concluded that the larger the size of informal network is, the better it can facilitate convergence of opinions in formal C2 network.
Supercritical CO2 Extraction of γ-Linolenic Acid from Spirulina platensis
Authors: Hsueh Yao Ching , Yu Zer Ran , Wang Cheng Chi , Koo Malcolm , Wang Be Jen
Published: May 2015

Arthrospira (Spirulina) platensis contains large quantities of γ-linolenic acid (GLA). GLA is an essential omega-6 unsaturated fatty acid made in the human body from linoleic acid. It can be metabolized to various important eicosanoids such as prostaglandins, thromboxanes, leukotrienes, prostacyclins, and lipoxins. The aim of this study was to investigate the optimal extraction parameters of GLA from A. platensis using supercritical CO2 technology. Results showed that operating temperatures and pressures were important factors in the extraction of GLA. A maximum GLA yield of 161.98 μg/g could be obtained at a pressure of 30 MPa, a temperature of 60°C, and a CO2 flow rate of 6 mL/min. Conversely, only a yield of 104.16 μg/g could be obtained at a pressure of 10 MPa, a temperature of 40°C, and a CO2 flow rate of 6 mL/min. The correlation between pressure and yield could be explained by an increase in collision rates between CO2 molecules and carrier affinity under a high pressure. Therefore, an operating temperature between 50 and 60°C and a pressure of 30 MPa should be used to maximize the yield of GLA from A. platensis using supercritical CO2 technology.
Improved OpenID Authorization Registration Process
Authors: Chen Chin Ling , Li De Kui , Shih Tzay Farn , Chang Yao Chung
Published: May 2015

Cloud technology has undergone significant and rapid growth in recent years, providing users with ever more Cloud resources. The services offered are based on users’ usage habits, so users come to rely ever more on Cloud applications. OpenID Union proposed an authorization method, allowing the authorized transfer of users’ personal data from one Cloud to another, using personal registration information. However, since providers do not protect users’ private information, attackers can easily intercept and tamper with confidential messages. In this paper, we use the characteristics of the blind signature to support user verification of the registering provider, to protect the user’s identity, and to address known vulnerabilities in the system.