bluuebunny/crossref_metadata_2025 huggingface dataset:
Power-Flow Path Analysis of an Existing 8-Speed Bicycle Drive Hub
Authors: Wu Yi Chang , Chen Ming Yuan , Chang Che Wei
Published: May 2015

This paper presents kinematic analysis and power-flow analysis of an existing 8-speed bicycle drive hub by using the fundamental circuit method. First, a planetary gear mechanism, which consists of three basic planetary gear trains connected in series, and its clutching sequence table are introduced. Based on the fundamental circuits, six kinematic equations of the drive hub are derived. Then, the power-flow diagrams at related gears are illustrated based on the clutching sequence table, and the power-flow paths of the bicycle drive hub can be identified. The results of this study are beneficial to the development of multi-speed drive hubs for bicycles.
The Response of a Rectangular Thin Plate Subjected to In-Plane Narrow Band Noise Excitation
Authors: Ge Gen , Wei Jing Xian , Zhang Wen Di
Published: May 2015

One stochastic dynamical model of a thin rectangular plate subject to in-plate parametrical narrow band noise excitation is proposed based on elastic theory and Galerkin’s approach. At first the model is simplified applying the multiple scale method and the averaged equation in Ito form is obtained. Secondly, the stochastic moment stability of the steady state responses are analyzed by Floquet theory and the moment method. Finally, the second order moment of the system is obtained, which can be used to estimate the variance of the responses. The numerical results agree with the theatrical analysis.
Thrust Study of a Novel PM Linear Synchronous Motor
Authors: Tseng Wan Tsun , Wu Yi Chang , Su Li Iau
Published: May 2015

This paper presents an analysis of a new type of permanent magnet excited transverse flux linear synchronous motor (PMTFLSM). This linear motor achieves a high thrust from its novel design and fabric. Its translator consists of cross-shaped core sets. Considering parameters such as magnet dimension, pole pitch, and tooth width of the translator, the effected thrust is analyzed and simulated with a 2D model of our PMTFLSM using the finite element method. Extensive simulations were conducted to investigate how the motor performs under a variety of parameter settings. Accordingly, motor characteristics are identified whereby an optimal combination of parameter values can be found. The new findings are then fed back to our motor design to validate performance improvement.
Real-Time Life Prediction for Rolling Bearings Based on Nonparametric Bayesian Updating Method
Authors: Xu Jing , Lu Chen , Liu Hong Mei
Published: May 2015

Real-time life prediction for rolling bearings contributes to maintenance decision-making and optimization based on the health state. Real-time life prediction based on Bayesian methods usually require that the priori distribution of the product be obtained; however, this task is extremely difficult to implement for new products or small sample sizes. To solve this problem, a nonparametric Bayesian updating method is proposed in this study. Kernel density estimation is employed to estimate the priori and posterior distribution of parameters by integrating real-time performance degradation information. Thus, bearing real-time life prediction based on nonparametric Bayesian updating is realized. In addition, this study investigates the calculation and normalization process of the working condition conversion factor. The effectiveness of the proposed method is verified by bearing run-to-failure experiments.
A Novel Algorithm for a Single-Phase Active Power Filter
Authors: Jiang Maoh Chin , Shih Bing Jyun
Published: May 2015

A novel algorithm for a single-phase active power filter (APF) is proposed in this paper. The proposed algorithm avoids the use of main voltage signal in the calculation of reference compensation current. Therefore, the mains current after compensation is still a pure sinusoidal waveform even when the mains voltage is distorted. A novel circuit for detecting the amplitude of the real part of the fundamental load current is not more than 1/4 cycle. Its transient response is superior to the other conventional techniques. In addition, the proposed algorithm can compensate for the power factor and suppress the harmonics of nonlinear loads. Finally, some experimental results are presented for verification.
A Novel Decision Rule for Spectrum Sensing in Dynamic Traffic Circumstances
Authors: Chae Keun Hong , Liu Hua Ping , Yoon Seok Ho
Published: May 2015

Cognitive radio is one of the promising techniques to solve the spectrum scarcity problem. In this paper, we propose a novel spectrum sensing scheme for cognitive radio in dynamic traffic circumstances. In the proposed scheme, a sensing period is partitioned and the final decision is obtained based on the energy detection results of each partitioned sensing period. From numerical results, it is confirmed that the proposed scheme has an improved detection performance compared with those of the conventional schemes.
Analysis and Implementation of Rayleigh Fading Channel Using MATLAB
Authors: Kuo Po Yu , Fan Gan Zhi
Published: May 2015

Mobile wireless communication is the fastest growing segment of the communication industry. However, it is faced with the challenge of providing reliable high-speed communications due to channel impediments which change over time in unpredictable ways. To analyze the reliability and performance of real communication system, the Rayleigh fading channel is generally applied to simulate the real wireless communication. In this paper, we analyze and implement a flat Rayleigh fading channel based on the inverse discrete Fourier transform (IDFT). The simulation results of level crossing rate (LCR) and average fade duration (AFD) are shown in this paper.
Applications of GaN-Based High Electron Mobility Transistors in Large-Size Devices
Authors: Wang Chih Hao , Su Liang Yu , Lee Finella , Huang Jian Jang
Published: May 2015

We demonstrate a novel design of large-size device in AlGaN/GaN high-electron-mobility transistor (HEMT). Depletion mode (D-mode) HEMTs and enhancement mode (E-mode) HEMTs are fabricated in our research. The saturation current of D-mode HEMTs is over 6A. By using Cascode structure, the D-mode HEMT becomes a normally-off device efficiently, and the threshold voltage of it rises from-7V to 2V. By using BCB (Benzocyclobutene) as the passivation, the E-mode HEMT shows an excellent characteristic. Also, when the VGS of the E-mode HEMT is over 9V, it still shows a good performance.
Electromagnetic Radiation Emission Model of Motor Drive System
Authors: Peng He Meng , Wang Quan Di , Yang Yong Ming
Published: May 2015

The electromagnetic radiation emission model of motor drive System for electric vehicles (EVs) is presented in this paper. First, the radiation electromagnetic interference (EMI) mechanism of the motor drive system is analyzed and investigated by experiment. The radiation EMI mainly comes from the common mode current flowing along the three phase cable between the inverter and the motor. Secondly, the feasibility of the finite element method (FEM) is verified by calculating the wire electromagnetic field around and the radiation EMI model of the motor drive system is established using the FEM. The simulation and experimental results show that the proposed model is feasible.
Impact of Parasitic Capacitor to the GaN HEMT Devices
Authors: Chen Chia Lin , Fang Chih Huan , Niu Yuan Chao , Chen Yaow Ming
Published: May 2015

The objective of this paper is to evaluate the impact of the parasitic capacitor to the Gallium-Nitride (GaN) based high-electron-mobility transistor (HEMT). Because of the high switching frequency operation, the parasitic inductor has caught a lot of attention when the GaN HEMT is applied in the high power applications. However, the impact of parasitic capacitor to the GaN HEMT is not discussed in literatures. A prototype circuit is built and tested to evaluate the impacts of parasitic capacitor to the GaN HEMT performance. The results show that the parasitic capacitor can induce voltage spike and damage the GaN HEMT.
Improvement of On-Resistance Degradation Induced by Hot Carrier Injection in SOI-LDMOS
Authors: Ningaraju Vivek , Yang Shao Ming , Sheu Gene , Amanullah Mohammad , Kurniawan Erry Dwi , Subramanyaj Subramanyaj
Published: May 2015

This paper presents how to improve specific o n-state resistance (Ron) induced by the HCI of a SOI LDMOS device. In manufacturing of UHV device, trade-off between on state resistance and breakdown voltage is always present. But with our process design we are able to improve Ron degradation without compromising the-breakdown voltage. In our design the peak electric field is under gate near source side, due to low electric field near drain helps to increase the current flow much better hence it helps to improve Ron and Vth. If the peak field is located near drain side, the hot holes is easy to penetrate to field oxide and avoid current flow then it causes increase in the Ron.Our simulation results shows 0.27% and 0.95% Ron and Vth increases respectively even at 1e5 second stress time .The Ron degradation phenomenon was analyzed with the 2-D simulation of electric field and impact ionization generation.
Optimization of Holding Voltage for 5V Multi-Finger NMOS Using Voltage Stepping Simulation
Authors: Mrinal Aryadeep , Sheu Gene , Yang Shao Ming , Sharma Aunny Kant , Wang Jun Bo , Amanullah Mohammad
Published: May 2015

For IC component designs, ESD is one of an important issue which has to be taken in consideration for reliability of a device. We use the TLP Voltage Stepping simulation scheme in Medici simulation for 5V NMOS Multi-finger structure, the use of silicon model and set of variables, in silicon material parameter is used to vary the variable electron and hole parameters of silicon, which can make the Holding Voltage simulation change and to make the simulation and the silicon data more consistent. We have simulated and calibrated Holding voltage of 5V NMOS multi finger to match with silicon data.
Unambiguous Composite BOC Signal Tracking Based on Partitioned Sub-Carriers
Authors: Chae Keun Hong , Liu Hua Ping , Yoon Seok Ho
Published: May 2015

In this paper, we propose an unambiguous signal tracking scheme for composite binary offset carrier (CBOC) signal tracking. First, we obtain partitioned sub-carriers and partial correlations. Based on a recombination of the partial correlations, we propose a novel correlation function without side-peaks. From numerical results, the proposed correlation function is found to offer a better tracking performance than that of the conventional correlation function in terms of the tracking error standard deviation.
Using GaN-Si FET Cascode Switches for Improving the Light-Load Efficiency of LLC Converters
Authors: Lin Jhe Yu , Chen Dan , Yen Ming Chuan , Lu Yu Hsuan
Published: May 2015

While the LLC regulator configuration presents advantages such as resonant soft switching and transformer built-in resonant elements, it does have the disadvantage of poor light-load efficiency due to higher switching frequency operation under such a condition. Using the GaN-Si FET cascode switches significantly improves the situation. Experimental results are also presented.
Neural Network Assisted Vector Tracking Loop for Bridging GPS Signal Outages
Authors: Jwo Dah Jing , Wen Zi Ming
Published: May 2015

Signal blockage and reflections from buildings and other large, solid objects can lead to accuracy degradation. One of the merits of the Global Positioning System (GPS) vector tracking loop (VTL) architectures is that the tracking loop can be assisted in such degraded signal environments. This paper proposes the incorporation of the neural network (NN) into the VTL for improving the positioning quality. The NN is used to bridge the GPS signal and prevent the error growth due to signal outage from spreading into the entire tracking loop. The NNs are employed for predicting adequate numerical control oscillator (NCO) inputs, i.e., providing better prediction of residuals for the Doppler frequency and code phase in order to maintain regular operation of the navigation system. The NN-assisted VTL demonstrates the capability to ensure proper functioning of navigation system. Results show that the NN-assisted VTL can effectively provide improved performance during degraded signal environments such as GPS outages.
Multipath Parameter Estimation Using the Unscented Particle Filter Based Code Tracking Loop for Non-Gaussian Noises
Authors: Jwo Dah Jing , Hsu Chia Sheng
Published: May 2015

In this paper, an unscented particles filter (UPF) based DLL tracking loop with multipath parameter estimation and mitigation capability is proposed for the Global Positioning System (GPS). The I (in-phase) and Q (quadrature) accumulator outputs from the GPS correlators are used as the observational measurements of UPF to estimate the multipath parameters such as amplitude, code delay, phase, and carrier Doppler. The particle filter (PF) possesses superior performance as compared to EKF and UKF as an alternative estimator for dealing with the nonlinear, non-Gaussian system. To handle the problem of heavy-tailed probability distribution, one of the strategies is to incorporate the UKF into the PF as the proposal distribution, leading to the unscented particle filter (UPF). The results show that the tracking loop using the proposed design can effectively estimate the multipath parameters and has demonstrated substantial estimation accuracy improvement as compared to that of the conventional EKF and UKF approaches.
Vibration Influence for Transporting Photovoltaic Cell
Authors: Hsu Shu Tsung , Long Yean San , Ma Hsien Chen
Published: May 2015

Breakages of solar cells mostly depend on the stresses induced in process, handling and transportation, and rely on the presence of defect such as micro-crack. Transporting vibration typically induces solar cell has crack propagation and performance degradation. In addition, the resonance frequency generated by test package during shipping excites the external force happened on packaged cells. This work aimed to evaluate the performance and defect coherently in solar cell caused by vibration during both truck and air transportation, and analyzed the electrical data (Pmpp, Rs, Rsh) and defects in detailed. Result showed the breakage rate due to broken cell is 2 % only, but degradation rate due to abnormal cell is accumulated to 6 %, which exposed the high potential failure for transporting cells. Consequently, this paper has proposed a comprehensive test method to alleviate the reliability obstacles of solar cells, and accelerate the development of cells protection design for transportation.
Application of Lean Six Sigma to Develop a High Precision Relative Humidity Control
Authors: Yen Kai Hsiang , Lin Ming Lung , Wang Carl
Published: May 2015

A relatively inexpensive and highly effective design for high precision chamber was developed but the control theory and optimized parameters were totally different from traditional methodologies. Among all kinds of quality programs, lean six sigma (LSS) is the most famous and widely-used method by manufacturing and service industries. The DMAIC (Define, Measure, Analyze, Improve and Control) methodology was used to figure out the key factors relative to high precision of relative humidity and improve the control parameters to meet the target. At the start, the baseline of Z bench was-0.24 and standard deviation was 1.62659. After lean six sigma project implemented, Z bench was up to 1.89 and standard deviation was down to 0.443986. This paper will address the critical process and analysis method for lean six sigma project, especially those for precise control of relative humidity.
Fault Diagnosis and Fault-Tolerant Control of Micro-Satellite Propulsion Mode Attitude Control
Authors: Shou Ho Nien
Published: May 2015

Micro-satellite has long-term in-orbit work in the harsh environment of space, the components such as actuators and sensors in the attitude control system continue to perform in-orbit control operations, therefore are prone to faults. In practical mission, such as formation flying, orbital transfer, de-tumbing and attitude control need to use thruster to control. As the thrust control is fail, the entire mission fails. In the paper, the two-stage unscented kalman filter is used to obtain the effectiveness factor value and system estimated states are obtained. Meanwhile, a robust thruster controller is designed with the estimated results to accomplish the joint design of Fault Detection and Diagnosis and Fault-Tolerant Control.
RBFNs Nonlinear Control System Design through BFPSO Algorithm
Authors: Feng Hsuan Ming , Wong Ching Chang , Horng Ji Hwei
Published: May 2015

All parameters are automatically extracted by the bacterial foraging particle swarm optimization (BFPSO) algorithm to approach the desired control system. Three parameterize basis function neural networks (RBFNs) model to solve the car-pole system problem. Several free parameters of radial basis functions can be automatically tuned by the direct of the specified fitness function. In additional, the proper number of radial basis functions (RBFs) of the constructed RBFNs can be chosen by the defined fitness function which takes this factor into account. The desired multiple objectives of the RBFNs control system are proposed to simultaneously approach the smaller errors with a fewer RBFs number. Simulations show that the developed RBFNs control systems efficiently achieve the desired the setting lot as soon as possible.
Web-Based Supervisory Control System Based on Raspberry Pi
Authors: Li Wu Jeng , Tung Shu Chu , Huang Shih Miao
Published: May 2015

This research designs a web-based supervisory control system based on Raspberry Pi. The system consists of one Raspberry Pi single-board computer and multiple data acquisition modules. The sensing and driving of the system are completed by reading/writing those data modules through RS485 interface by Modbus RTU protocol. Embedded database is used to store input/output data. Embedded web server provides interface for remote monitoring and control. The system was applied to environment control for computer room. It monitors air-conditioning systems, room temperature and humidity, fire alarm systems, uninterruptible power supply (UPS) systems, electricity supply systems and door access control systems. If something happens, it can drive buzzer, alarm, voice dialing, or air conditioning. The focus of this paper is using software to integrate hardware available in the market to form a low cost reliable supervisory control system.
An Improved IMM Estimator Combined with Intelligent Input Estimation Technique for Tracking Maneuvering Target
Authors: Chen Yi Wei , Lee Yung Lung
Published: May 2015

The estimation performance of interactive multiple model (IMM) estimator for tracking a maneuvering target is influenced by the target motion models and application of filters. An improved IMM estimation algorithm combined with the intelligent input estimation technique is proposed in this study. The target motion models include the constant velocity (CV) model and the modified Singer acceleration model. The intelligent fuzzy weighted input estimation (IFWIE) is used to compute the acceleration input for the modified Singer acceleration model besides the application of standard Kalman filter (KF). The combination of KF and IFWIE can estimate the target motion state precisely and the proposed method is compared with the common IMM estimator. The simulation results prove the improved IMM estimator has superior estimation performance than the common IMM estimator, especially when the target changes the acceleration violently. The utilization of IFWIE for the improved IMM estimator can estimate the acceleration input effectively.
Fault Detection and Isolation for Hydraulic Servo System Based on Adaptive Threshold and SOM Neural Network
Authors: Cheng Yu Jie , Lu Chen , Wang Li Mei , Liu Hong Mei
Published: May 2015

A fault detection and diagnosis method for the hydraulic servo system based on adaptive threshold and self-organizing map (SOM) neural network is proposed in this study. The nonlinear, time-varying, fluid-solid coupling properties of the hydraulic servo system are considered. Fault detection is realized based on a two-stage radial basis function (RBF) neural network model. The first-stage RBF neural network is adopted as a fault observer for the hydraulic servo system; the residual error signal is generated by comparing the estimated observer output with the actual measurements. To overcome the drawback of false alarms when the traditional fixed fault threshold is used, an adaptive threshold producer is established by the second-stage RBF neural network. Fault occurrence is detected by comparing the residual error signal with the adaptive threshold. When a system fault is detected, the SOM neural network is employed to implement fault classification and isolation by analyzing the features of the residual error signal. Three types of common faults are simulated to verify the performance and effectiveness of the proposed method. Experimental results demonstrate that the proposed method based on adaptive threshold and SOM neural network is effective in detecting and isolating the failure of the hydraulic servo system.
Integration of the Target Position Correction Software with the High Endurance Quadcopter for Search and Rescue Mission
Authors: Zou Jie Tong , Pan Zheng Yan , Zhang Dong Lin , Zheng Rui Feng
Published: May 2015

An Unmanned Aerial vehicle (UAV), commonly known as drone, is an aircraft without a human pilot aboard. In recent years, some UAVs are deployed for civil applications, such as policing, firefighting, air pollution monitoring, and aerial search and rescue, etc. Unmanned Aerial vehicle generally include fixed-wing and multi-rotor aircrafts. This research had developed a high endurance quadcopter for search and rescue mission. Target position correction software also was developed in this research. This program uses GPS coordinates embedded in the EXIF information of the aerial photos and more accurately calculates the target’s position. The target’s position error is less than ten meters in 75 meters altitude. Keywords: target position correction software, search and rescue, UAV, quadcopter, and GPS.
Visually-Guided Based Automatic Navigation for Disaster Detection Robots
Authors: Wang Chun Chieh , Lien Shao Fan
Published: May 2015

The image-guided system is the important issue for the automatic navigation. In this paper, a novel visually-guided disaster detection Robot (DD robot) is designed to carry out the automatic navigation function. Moreover, the DD robot is meticulously designed to detect gases or suspicious persons in the surrounding environment of the plant. Besides, we have successfully made our robots equipped with the devices by ourselves. These devices contain the disaster-detected sensors, the navigation module and the image module. In addition, we designed three operation modes: Automatic navigation mode (AN), Manual Remote Control mode (MRC) and the Visually-Guided mode (VG). Furthermore, the human-machine interface offers the users the view of information and also the details of the functions of the DD robot. The experimental results validate the practicality of the proposed visually-guided based automatic navigation system applied to disaster detection robots.
Fault Detection for an Aileron Actuator under Variable Conditions Based on Bi-Step Neural Network
Authors: Yuan Hang , Lu Chen , Xiong Ze Tao , Liu Hong Mei
Published: May 2015

Fault detection for aileron actuators mainly involves the enhancement of reliability and fault tolerant capability. Considering the complexity of the working conditions of aileron actuators, a fault detection method for an aileron actuator under variable conditions is proposed in this study. A bi-step neural network is utilized for fault detection. The first neural network, which is employed as the observer, is established to monitor the aileron actuator and generate the residual error. The other neural network generates the corresponding adaptive threshold synchronously. Faults are detected by comparing the residual error and the threshold. In considering of the variable conditions, aerodynamic loads are introduced to the bi-step neural network. The training order spectrums are designed. Finally, the effectiveness of the proposed scheme is demonstrated by a simulation model with different faults.
Overaged Samples and Growth of Eutectics Mg-6Gd-3.7Nd Based Alloys
Authors: Abd El Majid Suzan , Bamberger Menachem , Katsman Alexander
Published: May 2015

The eutectic structure in Mg-6Gd-3.7Nd based alloy was characterized to be result of a 'quasibinary eutectic reaction' L→ α-Mg + β-Mg5RE. The ST temperature applied was apparently sufficient to melt the GB regions of the as-cast Mg-Gd-Nd based alloy, and transform the eutectic structures to a globular liquid phase enriched with RE elements. High supersaturation of Mg matrix by rare earth (RE) elements after quenching of solution treated Mg-Gd-Nd alloy provides sequential precipitation of different metastable phases: α-Mg (S.S.S.S.) → β'' (Mg3RE, DO19)→ β' (Mg7RE, BCO) → β1 (Mg3RE, FCC) → β (Mg5RE, FCC). The stable β precipitates grew from the eutectic structure in the form of needle-like precipitates. These needles seem to be a continuation of the β phase presented in the eutectic structure. These β precipitates grow at the expense of smaller β1 and β precipitates presented in the α-Mg matrix. The combination of HRTEM, TEM with SAED and JEMS simulation was carried out to characterize the nanometer-scale precipitates. Microhardness measurements were performed to reveal the effect of precipitation on the mechanical properties of the alloys.
Development of an Unmanned Combat Vehicle with its Training System
Authors: Lin Shih Sung , Liu Yu Wei
Published: May 2015

By using image processing and automatic control technologies, this study designs an unmanned ground vehicle (UGV) that can be operated by various control devices, such as laptops and joysticks. A camera is set up on the UGV to capture the sight around it, and then can send the video to the back end system in a wireless manner. Besides, we design an attacking system that allows users to do the zeroing correction for shooting the target precisely. Moreover, a shooting training system is designed to improve the convenience for target practice. It not only can send the result to the back end system immediately but also can simulate the enemy movement to make the training more reality.
A Novel Wireless Data Acquisition Infrastructure for Manufacturing Equipment Based on Wi-Fi
Authors: Chen Shang Liang , Wang Sin Ru , Lin You Chen , Chen Yun Yao
Published: May 2015

Production information collection is an important issue for manufacturing. Therefore, the data transmission techniques for manufacturing equipment are hot spots for researchers nowadays. Traditional equipment data transmissions are based on Ethernet, which encountered issues such as high maintenance cost and unreal-time data transmission. A wireless data acquisition infrastructure for manufacturing equipment based on Wi-Fi is designed for ensuring the data transmission quality in factories.
Cloud-Based Mechanical Design Oriented Python Program Development System
Authors: Yen Chia Ming , Yen Jesse
Published: May 2015

In this paper, a mechanical design oriented Python program development system was created to assist engineers to manage their programming assets more efficiently. This cloud-based platform includes a content management system and Python-in-browser IDE (Integrated Development Environment). The motivation of this research is to allow mechanical designers to store their programs and design data locally and remotely in synchronous. This paper introduces the basic concept of the platform, architecture, installation and utilization, and the advantages that can be achieved by using this platform. This platform is released under the GPL V3 license.
Cooperative Car Video Share and Search System
Authors: Tsai Ming Fong , Huang Sheng Wei , Chiu Chui Ming , Sun Li Da , Shieh Ce Kuen
Published: May 2015

The car video can protect the driver by clarifying the liability in the event of an accident. More and more devices and functions have been on sale for drivers in recent years. They are focused on high quality images, wide angle support and night vision functions. However, those technologies cannot help to clarify the accident liability when the sight and angle are obscured by neighbouring cars or buildings. Hence, this paper proposes the Cooperative Car Video Share and Search (CCVSS) system. The car video will be uploaded frequently, including position, heading and timestamp information on each car in the CCVSS system. Hence, the driver can search for neighbouring cars’ videos when an accident happens using the above information. This paper implements a system to help the driver to upload the car video and obtain neighbouring cars’ videos via a smartphone device.Keywords—cooperative; car video; smartphone device
Enhancements of SVM Speaker Recognition by Dynamic Time Wrapping
Authors: Ding Ing Jr , Ou Da Cheng
Published: May 2015

This paper proposes an approach using dynamic time wrapping (DTW) to improve the classification performance of the SVM separation hyperplane. The presented method by incorporating the distance information derived from DTW template matching calculations into SVM separation hyperplane training will be able to effectively control the balance between mar-gin maximization and the amount of misclassifications, and therefore the recognition accuracy of the SVM classifier on speaker recognition will further be increased. Experimental results demonstrated the effectiveness and efficiency of the developed approach.
Ontology Integration Framework Based on XMDR+
Authors: Kim Jeong Dong , In Hoh Peter , Hwang Suk Hyung , Baik Doo Kwon
Published: May 2015

Ontology integration carries significant importance in terms of reuse of knowledge and interoperability. In this paper, a framework for ontology integration based on extended metadata registry plus (XMDR+) is focused, that is, we try to developer a methods for ontology integration to provide high quality Semantic Web services. To sum up, the ontology integration framework proposed herein not only produces global ontologies; but also defines such methods, and, thereby, performs better in extending and integrating ontologies. The framework will rely on a model independent of ontology storage structures, but will be capable of representing semantic relationships between different ontology systems.
Taurus: Preventing Stealthy SMS Activities on Android
Authors: Liao Wei Ling , Ou Chih Wen , Chen Shih Jen , Hwang Yan Ling , Hsu Fu Hau
Published: May 2015

This study introduces a direct and intuitive method to resist certain apps from sending SMS message stealthily. According to the heuristic analysis and observation, it is apparently that a SMS message, which has the textual content originated from user's entering manually, is obviously benign. We use this principle to design a serious of SMS examination and verification procedures, in order to force all SMS messages to be verified automatically before delivering them actually. A package named as Taurus, which is comprised of several new components, are developed in the Android framework in this study. The evaluation shows that Taurus, which examines all outgoing and detects potentially malicious SMS messages, has an excellent performance with reasonable memory usage overhead.
The Improved Customer Satisfaction Prediction System on Airlines Service by Using Cloud Computing Based Intelligent Strategy System
Authors: Huang Chung Lin , Huang Chung Chi
Published: May 2015

The main purpose of this research is applying an intelligent strategy to improve the customer satisfaction prediction system of airlines service. Historically, the measurement of customer satisfaction collects by questionnaire. We collect and computing the customer satisfaction of each flight by the cloud computing based prediction system. It compares the customer questionnaire, then continuous modifying the accuracy of prediction system by neural network methodology. It is more efficiency and precisely to improve the customer satisfaction for the long-term perspective. We are proposing a parameter of evaluation module that selected 12 influence factors from MEPH and 12 satisfaction evaluation factors of airlines service (by customer perception of service quality). In this study, we are using back-propagation neural network method to build the module. The module could be used by calculating the airlines service satisfaction from the quality factors such as material, machine, product, and staff. However, we could get the prediction of service satisfaction through the way of data fusion by the 12 satisfaction indicators. The results could be used to make the service quality strategy, in order to lead a higher customer satisfaction. The findings help airlines managers to predict their customer satisfaction more efficiently, making changes to service quality strategy easily to meet the customers’ satisfaction level. Even if the managers pre-set a customers’ satisfaction level, a real-time cloud computing could help managers deploy the resources to achieve the goal. After all, in order to prove the feasibility of the parameters and the intelligent evaluation methodology, this study will collect data and test the evaluation of quality from an experimentation of airlines service system in Kaohsiung city in Taiwan.
Toward Meta-Software Engineering Multistage Process
Authors: Samadhiya Durgesh , Chang Wen Chih
Published: May 2015

Information systems are being used for more and more applications are becoming more complicated and expensive, while at the same hand today’s software systems demand increasing tremendously for sophisticated software engineering processes. There are many ways to solve a single problem in software development. Sometimes, in Structural engineering, developer is not able to decide which process will suit to that particular problem or in other words we can say that selecting a good process is a big issue in Structural Process Software engineering. The solution of such kind of problem can be found in the work to be done, and the task to be performed by the Operational process rather than structure of a process. This paper introduces the notion of process operationality and proposes ‘process architecture’ to represent this operationality. Thus, Structural Process Engineering (SPE) becomes Operational Process Engineering (OPE).
Different STAT Transcription Complexes Drive Early and Delayed Responses to Type I IFNs
Authors: Abdul-Sater Ali A. , Majoros Andrea , Plumlee Courtney R. , Perry Stuart , Gu Ai-Di , Lee Carolyn , Shresta Sujan , Decker Thomas , Schindler Christian
Published: May 2015

IFNs, which transduce pivotal signals through Stat1 and Stat2, effectively suppress the replication of Legionella pneumophila in primary murine macrophages. Although the ability of IFN-γ to impede L. pneumophila growth is fully dependent on Stat1, IFN-αβ unexpectedly suppresses L. pneumophila growth in both Stat1- and Stat2-deficient macrophages. New studies demonstrating that the robust response to IFN-αβ is lost in Stat1-Stat2 double-knockout macrophages suggest that Stat1 and Stat2 are functionally redundant in their ability to direct an innate response toward L. pneumophila. Because the ability of IFN-αβ to signal through Stat1-dependent complexes (i.e., Stat1-Stat1 and Stat1-Stat2 dimers) has been well characterized, the current studies focus on how Stat2 is able to direct a potent response to IFN-αβ in the absence of Stat1. These studies reveal that IFN-αβ is able to drive the formation of a Stat2 and IFN regulatory factor 9 complex that drives the expression of a subset of IFN-stimulated genes, but with substantially delayed kinetics. These observations raise the possibility that this pathway evolved in response to microbes that have devised strategies to subvert Stat1-dependent responses.
Comparison between indigenous and Western postnatal care practices in Mopani District, Limpopo Province, South Africa
Authors: Ngunyulu Roinah N. , Mulaudzi Fhumulani M. , Peu Mmapheko D.
Published: May 2015

Background: Postnatal care begins immediately after the expulsion of the placenta and continues for six to eight weeks post-delivery. High standard of care is required during the postnatal period because mothers and babies are at risk and vulnerable to complications related to postpartum haemorrhage and infections. Midwives and traditional birth attendants are responsible for the provision of postnatal care in different settings, such as clinics and hospitals, and homes.Methods: A qualitative, exploratory, descriptive and contextual research approach was followed in this study. Unstructured interviews were conducted with the traditional birth attendants. An integrated literature review was conducted to identify the Western postnatalcare practices. Tesch’s process was followed during data analysis.Findings: The following main categories were identified: similarities between indigenous and Western postnatal care practices, and differences between indigenous and Western postnatal care practices. Based on these findings, training of midwives and traditional birth attendants was recommended in order to empower them with knowledge and skills regarding the indigenous and Western postnatal care practices.Conclusions: It is evident that some indigenous postnatal care practices have adverse effects on the health of postnatal women and their newborn infants, but these are unknown to the traditional birth attendants. The employment of indigenous postnatal care practices by the traditional birth attendants is also influenced by their cultural beliefs, norms, values and attitudes. Therefore, there is an urgent need to train midwives and traditional birth attendants regarding the indigenous and Western postnatal care to improve the health of postnatal women and their babies.
From conceptualisation to commercialisation: The Gradnet story
Authors: Barnard Zenia , Rensleigh Chris
Published: May 2015

Background: A very small percentage of all the research generated by universities is commercialised. The article is a case study of the transformation from action research to a spin-off company. It looks at the practical implications of such a transformation. Objectives: The aim of this article is to provide a holistic view of what the process entailed to leap from academic research to the commercialisation of the research into a company as was the case for Gradnet. Method: A case-study approach was used to document the conceptualisation and development of the research-based, spin-off company, Gradnet. This includes the background of the original research that formed the basis of the innovation process. Results: It was found that the commercialisation process of academic research is not necessarily a natural process for the researcher in the absence of an appropriate supporting infrastructure. Conclusion: All academic disciplines have the potential for establishing commercially viable research projects. This potential should be actively explored and pursued by the institution.
The preacher's vulnerable attitudes in naming reality in a neglected society
Authors: Kruger Ferdi P.
Published: May 2015

Ecclesiastical studies seem to reveal that the praxis of preaching is often confronted with a stumbling block in the negative attitudes of preachers despite their good intentions and the interdependence between prayer and preaching. In naming reality in society, it seems to be important that preachers first of all examine their own attitudes regarding their hearers and reality in society. In light of this problematic praxis, the research question is: To what extent do preachers with positive attitudes equip their hearers by means of a dialogue to listen profoundly to the content of preaching when the preaching names realities in society? In order to address this research question, the problem is investigated from the present practicaltheological vantage points in the field. The matter is further explored by examining metatheoretical perspectives from the fields of Social Psychology and Communication Sciences. As part of this process, the author seeks to investigate the difficult process of the formation and manifestation of attitudes in behaviour. An investigation into normative vantage points, perspectives from II Corinthians 5 and the Pastoral Letters, indicate that the message and the way in which preachers deliver their sermons are important. The conclusion poses that negative attitudes are indeed dangerous when it forms part of this ecclesiastical praxis and can even cause hearers to abandon all intent to be salt and light in society. Preachers must utilise dialogue in preparation for their sermons. They must focus on the dialogical nature of preaching in the context of the liturgy and must make time to stimulate feedback after they have delivered their sermons to make sure that hearers understand their calling in society. Congregations must become communities that live founded in profound communication.Intradisciplinary and/or interdisciplinary implications: This article recognises the interdisciplinary approach to the social sciences. In Practical Theology, research focuses on communicative acts which bring the field into an overlap with other sciences that have the same focus. This article briefly focuses on an interdisciplinary discourse with the fields of Social Psychology and Communication Sciences regarding the forming and functioning of attitudes, which can possibly influence the sermon delivery of preachers. This article addresses the issue of naming reality in society. In this process, the naming of the attitude of the preacher is very important.
Regularity of Lipschitz free boundaries for the thin one-phase problem
Authors: De Silva Daniela , Savin Ovidiu
Published: May 2015

We study regularity properties of the free boundary for the thin one-phase problem which consists of minimizing the energy functional

E(u,\Omega) = \int_\Omega |\nabla u|^2 dX + \mathcal{H}^n(\{u>0\} \cap \{x_{n+1} = 0\}), \quad \Omega \subset \mathbb R^{n+1},

among all functions

u\ge 0

which are fixed on

\partial \Omega

.
Expansion in finite simple groups of Lie type
Authors: Breuillard Emmanuel , Green Ben J. , Guralnick Robert M. , Tao Terence
Published: May 2015

We show that random Cayley graphs of finite simple (or semisimple) groups of Lie type of fixed rank are expanders. The proofs are based on the Bourgain-Gamburd method and on the main result of our companion paper [BGGT].
A variational analysis of a gauged nonlinear Schrödinger equation
Authors: Pomponio Alessio , Ruiz David
Published: May 2015

This paper is motivated by a gauged Schrödinger equation in dimension 2 including the so-called Chern-Simons term. The study of radial stationary states leads to the nonlocal problem:

- \Delta u(x) + \left( \omega + \frac{h^2(|x|)}{|x|^2} + \int_{|x|}^{+\infty} \frac{h(s)}{s} u^2(s)\, ds \right) u(x) = |u(x)|^{p-1}u(x),

where

h(r)= \frac{1}{2}\int_0^{r} s u^2(s) \, ds.

This problem is the Euler-Lagrange equation of a certain energy functional. In this paper the study of the global behavior of such functional is completed. We show that for

p\in(1,3)

, the functional may be bounded from below or not, depending on

\omega

. Quite surprisingly, the threshold value for

\omega

is explicit. From this study we prove existence and non-existence of positive solutions.
GCD sums from Poisson integrals and systems of dilated functions
Authors: Aistleitner Christoph , Berkes István , Seip Kristian
Published: May 2015

Upper bounds for GCD sums of the form

\sum_{k,{\ell}=1}^N\frac{(\mathrm {gcd}(n_k,n_{\ell}))^{2\alpha}}{(n_k n_{\ell})^\alpha}

are established, where

(n_k)_{1 \leq k \leq N}

is any sequence of distinct positive integers and

0<\alpha \le 1

; the estimate for

\alpha=1/2

solves in particular a problem of Dyer and Harman from 1986, and the estimates are optimal except possibly for

\alpha=1/2

. The method of proof is based on identifying the sum as a certain Poisson integral on a polydisc; as a byproduct, estimates for the largest eigenvalues of the associated GCD matrices are also found. The bounds for such GCD sums are used to establish a Carleson–Hunt-type inequality for systems of dilated functions of bounded variation or belonging to

\mathrm {Lip}_{1/2}

, a result that in turn settles two longstanding problems on the a.e.\ behavior of systems of dilated functions: the a.e. growth of sums of the form

\sum_{k=1}^N f(n_k x)

and the a.e.\ convergence of

\sum_{k=1}^\infty c_k f(n_kx)

when

f

is

1

-periodic and of bounded variation or in

\mathrm {Lip}_{1/2}

.
Paradigmas de los efectos de las TIC en la cultura y en el conocimiento
Authors: Velarde Olivia , Bernete Francisco , Franco Romo Daniel
Published: May 2015

Los usos sociales de las nuevas tecnologías de la información y de la comunicación (TIC) están transformando la cultura y el conocimiento. Este artículo analiza cómo se interpretan esas transformaciones y sus consecuencias, en la bibliografía científica y académica. Metodología. La investigación se basa en un análisis de contenido procedente de una muestra representativa de dicha bibliografía. Resultados. Se describe el repertorio de efectos culturales y cognitivos atribuidos a las aplicaciones de las TIC. Los argumentos contenidos en esas descripciones son las unidades que se analizan con metodologías sistémicas. Se muestra que tales descripciones se pueden transferir a tipologías, cuyos componentes y relaciones son representados en modelos. Conclusiones. En esos modelos se explica cómo los colectivos científicos configuran la producción de conocimiento referida a los efectos culturales y cognitivos de las TIC. Y se comprueba que los modelos enlazan con unos paradigmas determinados de las ciencias de la comunicación
Piecewise Constant Level Set Algorithm for an Inverse Elliptic Problem in Nonlinear Electromagnetism
Authors: Kong Xiangyin , Zhang Zhengfang , Huang Zhengda
Published: May 2015

An inverse problem of identifying inhomogeneity or crack in the workpiece made of nonlinear magnetic material is investigated. To recover the shape from the local measurements, a piecewise constant level set algorithm is proposed. By means of the Lagrangian multiplier method, we derive the first variation w.r.t the piecewise constant level set function and obtain the descent direction by the adjoint variable method. Numerical results show the robustness and effectiveness of our algorithm applied to reconstruct some complex shapes.
An Efficient Semi-Analytical Method to Compute Displacements and Stresses in an Elastic Half-Space with a Hemispherical Pit
Authors: Boccardo Valeria , Godoy Eduardo , Durán Mario
Published: May 2015

This paper presents an efficient method to calculate the displacement and stress fields in an isotropic elastic half-space having a hemispherical pit and being subject to gravity. The method is semi-analytical and takes advantage of the axisymmetry of the problem. The Boussinesq potentials are used to obtain an analytical solution in series form, which satisfies the equilibrium equations of elastostatics, traction-free boundary conditions on the infinite plane surface and decaying conditions at infinity. The boundary conditions on the free surface of the pit are then imposed numerically, by minimising a quadratic functional of surface elastic energy. The minimisation yields a symmetric and positive definite linear system of equations for the coefficients of the series, whose particular block structure allows its solution in an efficient and robust way. The convergence of the series is verified and the obtained semi-analytical solution is then evaluated, providing numerical results. The method is validated by comparing the semi-analytical solution with the numerical results obtained using a commercial finite element software.