bluuebunny/crossref_metadata_2025_split huggingface dataset:
Control-Centric Simulator For Mechatronics Design Case Study: Gyroscopically Stabilized Single Wheel Robot
Authors: Zhen Zhu , Al-Mamun A. , Naing Myint Phone 
Published: November 2017

Abstract
A 3-Dimensional simulation platform developed as an aid for designing complex mechatronics system is presented in this paper. It uses ADAMS for simulation with animation of the dynamic behavior of the mechanism whose parts are drawn using a 3-D drawing software e.g., SolidWorks. The overall simulation platform integrates the 3-D simulator ADAMS with control design software MATLAB. This integration allows the designer to adopt a control-centric approach for designing complex mechanical structure to be used in a mechatronics system. Dynamic analysis of single wheel robot is used in this paper as an example to illustrate its uses. The simulating environment can easily be extended to any complex mechanical system simply by altering SolidWorks drawings
Extracting Electric Power From Human Body For Supplying Neural Recording System
Authors: Hmida G. Ben , Ekuakille A. L. , Kachouri A. , Ghariani H. , Trotta A. 
Published: November 2017

Abstract
A powerful approach to the characterization of cellular electrical activity is electrical recording from cells or living tissues. The human central and / or peripheral nervous system has been a subject of study and fascination of the neuroscience and biomedical engineering communities for many decades. In this paper, we propose a new approach to feed implantable neural recording system, which based on extracting electrical power from human tissue warmth in order to supply a biomedical neural recording system. The major issue to overcome, in the design of a system that is aimed at being implant into the human body, is having a low power consumption, low noise circuit and small dimension to minimize tissue damage.
Application Of Self-Tuning Fuzzy Pid Controller On Industrial Hydraulic Actuator Using System Identification Approach
Authors: Zulfatman  , Rahmat M. F. 
Published: November 2017

Abstract
In this paper, Self Tuning Fuzzy PID controller is developed to improve the performance of the electro-hydraulic actuator. The controller is designed based on the mathematical model of the system which is estimated by using System Identification technique. The model is performed in linear discrete model to obtain a discrete transfer function for the system. Model estimation procedures are done by using System Identification Toolbox in Matlab. Data for model estimation is taken from an experimental works. Fuzzy logic is used to tune each parameter of PID controller. Through simulation in Matlab by selecting appropriate fuzzy rules are designed to tune the parameters Kp, Ki and Kd of the PID controller, the performance of the hydraulic system has improved significantly compare to conventional PID controller.
One-Shot Three-Dimensional Surface Profilometry using DMD-Based Two-Frequency Moiré and Fourier Transform Technique
Authors: Chen L. C. , Cho C. H. , Nguyen X. L. 
Published: November 2017

Abstract
This article presents an optical measurement method for acquiring rapidly accurate geometric 3-D surface morphology of objects. To achieve high-speed profilometry and avoid disturbance due to in-field vibration, one-shot Fourier transform profilometry (FTP) using two- wavelength digital moiré pattern was developed to detect the morphology of the measured object at a speed of up to 60 frames or more per second. Single-fringe interferogram sufficient for FTP can be rapidly captured within a theoretical CCD acquisition time of down to 1 μs. The interferogram thus captured can be applied for further phase retrieving using the developed frequency transform and band-pass filtering strategies. The band-pass filter is designed to obtain phase information for optimizing the 3-D surface reconstruction with both dimensional and structural measurement accuracy. Furthermore, a standard step-height target was measured to analyze accuracy and repeatability of the developed methodology. Experimental results verified that the measurable step height can be effectively increased using the equivalent wavelength established by analyzing two-frequency moiré pattern, thus increasing practical applicability of the developed system while achieving a micro-scale measuring depth resolution. The maximum measured error can be kept within 3.5% of the overall measuring range.
Thermal Effects in Design of Integrated CMOS MEMS High Resolution Pressure Sensor
Authors: RoyChaudhuri C. , Datta S.K. , Saha H. 
Published: November 2017

Abstract
Thermal effects in integrated piezoresistive MEMS pressure sensor may be a problem of concern in design for applications requiring high precision measurements and in continuously monitoring array of sensor network. It not only results in the shift of the offset voltage of the pressure sensor but also affects the performance of the adjacent CMOS circuit leading to erroneous values. To address this problem, the thermal effects of the integrated sensor chip along with its packaging arising out of the self heating of piezoresistors has been analyzed through a simple heat balance model which has been validated by FEM analysis and laboratory experiment. It is observed that for a typical packaged pressure sensor of 5.6mm by 5.6mm and heat transfer coefficient of 100Wm-2K-1, thermal effect may lead to a temperature rise of around 50C whereas for a high precision application of pressure sensor even 1-20C of temperature rise may lead to significant error. A methodology of co-design and a new MOS library called PTMOS for direct integration of these thermal effects of MEMS piezoresistors in the CMOS circuit has also been presented to reduce considerably the design cycle time of the integrated sensor. This integrated analysis thus helps in proper selection of the dimensions and packaging of the integrated sensor chip taking into account the thermal effects for the optimization of its space constraint and its performance with reduced design cycle time.
Enhanced LPG response characteristics of SnO2 thin film based sensors loaded with Pt clusters
Authors: Haridas Divya , Chowdhuri Arijit , Sreenivas K. , Gupta Vinay 
Published: November 2017

Abstract

RF sputtered SnO2 thin films (90 nm thick) loaded with clusters of nanoscale (8 nm) metal catalysts (Pt, Ag, Ni, Pb, Al, Pd) are investigated for LPG detection. SnO2 film loaded with Pt catalyst clusters exhibits enhanced response (~ 7.5×102) to 200 ppm of LPG at a relatively low operating temperature (185oC) with a fast response time of 100s. Variation of thickness of Pt clusters in the nanoscale range (2 to 20 nm) is seen to significantly influence the sensor response characteristics. Enhanced performance is observed for SnO2 thin films loaded with 10 nm thick platinum clusters that exhibited a high response (~ 5 x 103) at an operating temperature, of 220° C. Preliminary results indicate the potential application of prepared sensor structure of Pt clusters (10nm)/SnO2 (90 nm)/IDE/glass substrate for efficient detection of LPG at relatively low temperature.
UHF RFID Metal Tag Applying to License Plate using Metal Shielding and Watertight Methods
Authors: Hwang Gi-Hyun , Cha Kyoung-Hwan , Bhardwaj Sachin , Lee Dae-Seok 
Published: November 2017

Abstract
This paper describes a design for RFID (Radio Frequency Identification) tag using license plate attached the vehicle bumper in 900 MHz band. The implemented metal tag for a license plate is applied metal shielding method, watertight method of RFID tag, and metal corrosion protection method using silk screen technique. Moreover, its range of the fabricated tag antenna that the license plate and the vehicle bumper were fixed by volt and nut was observed 8.2 m. This measured readable range showed about 5 m above far distance more than the average readable range of commercial tag antenna. The RFID have ability of 0.5 seconds of recognition speed in the evaluation of performance. The tag for license plate will be able to provide to the custom administrator and goods manager in various telemetries services.
An Intelligent Fuzzy Controller for Air-Condition with Zigbee Sensors
Authors: Wang Tzu-Ming , Liao I-Ju , Liao Jen-Chi , Suen Tain-Wen , Lee Wei-Tsong 
Published: November 2017

Abstract
In recent years, the research and development of energy-saving control in air-condition system has become a hot spot with the advance of science and technology. In this paper, we proposed a fuzzy control mechanism for air-condition system, which combines the fuzzy control and multi-point sensing technology. When people feel cooler or hotter indoor, the air condition should promptly detect the temperature variance and switch the temperate between hot and cool smoothly. Therein an intelligent fuzzy controller for air-condition with Zigbee sensors is used to provide the comfort and energy-saving benefit. Although traditional control system (shorten as TCS) and the proposed fuzzy control system (named as FCS) have a common goal of temperature control, they differ from each other in temperature switch decision made during the each ambient temperature phases. Under the operating policy to limit the air-condition power on/off power frequency, the simulation result present the FCS energy-saving ratio is about 1.3 times of the TCS. And FCS with 5 minutes control cycle has the best energy-saving rate. It’s 2.7 times of FCS with 10 minutes control cycle for summertime in Taiwan.
FPGA Based Maximum Power Point Tracker of Partially Shaded Solar Photovoltaic Arrays using Modified Adaptive Perceptive Particle Swarm Optimization
Authors: Chowdhury Shubhajit Roy , Mukherjee Dipankar , Saha Hiranmay 
Published: November 2017

Abstract
The paper presents a Field Programmable Gate Array (FPGA) based tracker to accurately track the maximum power point (MPP) of a photovoltaic (PV) array. The tracking logic realized on FPGA is based on a modified version of Adaptive Perceptive Particle Swarm Optimization (APPSO) technique. Photovoltaic generation systems use MPP tracker because the photovoltaic array exhibits multiple maxima in the power voltage characteristic under partially shaded conditions. Compared to PSO, the APPSO offers flexibility in the motion dynamics of the particle in the search space through variation in perception radius, number of sampling points per directions, and the number of sampling directions. The APPSO algorithm has been suitably modified to suit to the slight changes in the maximum power point at around the maximum power point. The proposed technique uses only one pair of sensors to control multiple PV arrays. This results in lower cost, higher accuracy and also the algorithm is simple. The implementation of the algorithm on a reconfigurable architecture like FPGA ensures hardware based flexibility in the motion dynamics presented by APPSO. A comparative study is performed to compare the performance of PSO and APPSO with respect to MPP tracking. Compared to PSO that track to the MPP under partial shading conditions and reaches the MPP with 96.41% accuracy, the APPSO can track to the MPP with 97.95% accuracy. The algorithm when realized on an Altera Cyclone EP1C6Q240C8 FPGA consumes 5967 logic blocks.
An Extensive Study, Design and Simulation of Mems Guided Media: Microstrip Line
Authors: Maurya Savita 
Published: November 2017

Abstract
In this paper, some design issues of one of the planar-guided media known as Microstrip line has been presented. The main purpose of this paper is to study the fundamental transmission properties of the microstrip line in view of varying the length, materials used for device formation/fabrication and highest frequency of operation. The paper is mainly divided in to two portions; first portion deals with theoretical portion because, it is necessary to know how the characteristic impedance, phase velocity, and attenuation constant of the dominant mode of microstrip depend on geometrical factors, on the electronic properties of substrate and conductors used, and on the frequency. Since this is a “mixed” dielectric system, the TEM mode can not be supported [2] and the second portion of the investigation was devoted to the effect of variation of length and frequency on the RF performance of the line. Although many papers are available on this topic, but the issues described in this paper have somewhat different point of view.
A New Method to Assess Perceived Well-Being among Elderly People – a Follow-Up Study
Authors: Reijula Jori , Rosendahl Toni , Reijula Kari , Roilas Paula , Roilas Heikki , Sepponen Raimo 
Published: November 2017

Abstract
This is a follow-up study to a previous experiment that evaluated the feasibility of a simple monitoring device, Con-Dis, in assessing perceived well-being (PWB) among elderly people. Additionally, in the present study Con-Dis was used at the same time as blood pressure and heart rate monitors and pedometers to see the possible correlation between PWB, blood pressure, heart rate, and time spent on outdoor activity. The Con-Dis device proved technically functional, feasible, and informative throughout the four-week follow-up test period among elderly test subjects. In addition, PWB (measured by Con-Dis) appeared to correlate with mood, QoL, and time spent on outdoor activity.
FPGA-Based Implementation of Real Time Optical Flow Algorithm and Its Applications for Digital Image Stabilization
Authors: Piotrowski Robert , Szczepanski Stanislaw , Koziel Slawomir 
Published: November 2017

Abstract
An efficient simplification procedure of the optical flow (OF) algorithm as well as its hardware implementation using the field programmable gate array (FPGA) technology is presented. The modified algorithm is based on block matching of subsets of successive frames, and exploits onedimensional representation of subsets as well as the adaptive adjustments of their sizes. Also, an l1- norm-based correlation function requiring no multiplication/division operations is used. As a result, it was possible to reduce the computational complexity of the algorithm without compromising the processing accuracy. Both the accuracy and the limitations resulting from the introduced simplifications have been verified based on several examples of both synthetic and real movie samples. The presented algorithm has been implemented using VirtexII-1000 FPGA to realize a digital stabilization system for the CMOS camera images. Experimental results fully confirm the efficiency of the presented algorithm when working with limited computational resources. This demonstrates the possibility of using our algorithm in the autonomous navigation and other battery-powered systems.
Sliding Mode Based Fuzzy Control for Positioning of Optical Pickup Head
Authors: Tsai M. Y. , Liu T. S. 
Published: November 2017

Abstract
A laser diode package is mounted on an optical pickup head actuator. The laser diode package is used to sense the displacement of a moving target by self-mixing interference signals. A sliding mode based fuzzy control method is developed to achieve fast response of the optical pickup head actuator, which is driven in a focusing direction. Simulation results show the proposed method performs better than sliding-mode control. Experimental results further show that the proposed control method outperforms sliding-mode control.
Ranged Subgroup Particle Swarm Optimization for Localizing Multiple Odor Sources
Authors: Jatmiko W. , Pambuko W. , Febrian A. , Mursanto P. , Muis A. , Kusumoputro B. , Sekiyama K. , Fukuda T. 
Published: November 2017

Abstract
A new algorithm based on Modified Particle Swarm Optimization (MPSO) that follows is a local gradient of a chemical concentration within a plume and follows the direction of the wind velocity is investigated. Moreover, the niche or parallel search characteristic is adopted on MPSO to solve the multi-peak and multi-source problem. When using parallel MPSO, subgroup of robot is introduced then each subgroup can locate the odor source. Unfortunately, there is a possibility that more that one subgroup locates one odor sources. This is inefficient because other subgroups locate other source, then we proposed a ranged subgroup method for coping for that problem, then the searching performance will increase. Finally ODE (Open Dynamics Engine) library is used for physical modeling of the robot like friction, balancing moment and others so that the simulation adequate to accurately address the real life scenario.
Reliable Data Broadcast for Zigbee Wireless Sensor Networks
Authors: Sung Tien-Wen , Wu Ting-Ting , Yang Chu-Sing , Huang Yueh-Min 
Published: November 2017

Abstract
As we know, the data transmission in the wireless networks is more unreliable than it is in the wired network environment. Although the virtual carrier sensing scheme can be used in the wireless unicast transmission, the multicast and broadcast still not utilize the acknowledgement mechanism for reliable transmission. This is due to the acknowledgement packets of broadcast transmission will cause much higher communication traffic and overhead. Since reliable data broadcast is critical and required in many applications in the wireless sensor networks, our study focuses on the ZigBee network which is a new industrial standard for sensor networks. Some previous related papers improved the broadcast reliability by introducing redundant transmission and increasing coverage ratio of every receiver node, but there still exists probability of packet loss and extra communication cost due to redundant broadcast. This paper proposes an efficient acknowledgement-based approach for reliable data broadcast in wireless sensor networks. Hierarchical acknowledgement mechanism, reduction of rebroadcast packets and ACK packets, degree-based ACK/rebroadcast Jitter, and parent-oriented retransmission are the key schemes to achieve the efficient data broadcast. Simulation results show that the proposed schemes can efficiently reduce the acknowledgement traffic as well as communication overhead and provide the high reliable data broadcast transmission in ZigBee networks..
Fundamental Study of Magnetically Levitated Contact-Free Micro-Bearing for Mems Applications
Authors: Nakao T. , Han H. , Koshimoto Y. 
Published: November 2017

Abstract
In this paper, the authors introduced a new approach to realize a contact-free micro-bearing for MEMS (Micro-Electro-Mechanical-Systems) applications. In the proposed idea, the mechanism of magnetic repulsion by eddy current was employed. Numerical analysis and experimental research was performed. In the proposed structure having a ringed magnetic circuit having a circularly-arranged gap (gapped-core), the generated magnetic flux was concentrated with high density and showed precipitously gradient in the magnetic field and also showed a larger of repulsive force comparing to the general electromagnetic (iron-core). Advantage of the proposed method and its viability as a contact-free Micro-bearing was discussed.
Nanosensors Engineering: I. Structurally Modulated Sno2 Nanowires
Authors: Dmitriev S. 
Published: November 2017

Abstract
– The results of research aimed at the gas sensing nanowires (NWs) engineering are presented. Structurally modulated SnO2 NWs were obtained at 900°C in the modified vapor-solid process, allowing that NW morphology could be encoded in a programmable way along its length. PVD technique was used for Ti/Au electrical contacts deposition and gas sensitive nanoscale chemiresistors formation.
Created nanostructures were characterized for their gas sensing performance. It was established that structurally-modulated NWs possess better gas sensitive characteristics in comparison with the straight ones. Obtained results are discussed from the positions of single-crystal “necks” formation in NWs.
A Coarse-to-Fine Approach for Remote-Sensing Image Registration Based on a Local Method
Authors: Lee Sang Rok 
Published: November 2017

Abstract
Multispectral satellite imagery registration is a fundamental step for remote sensing applications such as global change detection, feature classification, and image fusion. Since image registration via the manual selection of control points is a repetitive and time-intensive task, a more efficient automatic coarse-to-fine algorithm for multispectral remote sensing image registration is proposed in this paper. First, for the coarse registration, the Haar Wavelet Transform (HWT) is adopted to produce lower-resolution levels of reference and input images; then, the Speeded Up Robust Features (SURF) algorithm is utilized for quickly searching for matching points. After the coarse registration is completed, the Harris operator is used to extract feature points, and initial correspondences are established using the normalized cross-correlation to achieve the fine registration. Second, in order to remove mismatched points, the RANdom SAmple Consensus (RANSAC) algorithm is applied to putative correspondences. Due to large amount of satellite image data available, we used block processing in the refined registration to increase the efficiency in memory use. Finally, the final transformation function is obtained via the local weighted mean method in order to deal with local geometric differences between the reference and input images. Compared to global registration by manually selecting the control points, the proposed method is fully automatic and computationally efficient. Experimental results with well-known data sets (Worldview-1,2 and Quickbird remote-sensing images) again demonstrate the accuracy and effectiveness of the proposed algorithm for multispectral remote-sensing image registration.
Characterization Of Cracks And Delaminations Using Pwas Ad Lamb Wave Based Time-Frequency Methods
Authors: Gangadharan R. , Murthy C.R.L. , Gopalakrishnan S. , Bhat M.R. , Mahapatra D. Roy 
Published: November 2017

Abstract
Use of smart sensor technology along with intelligent signal processing plays a crucial role in the implementation and working of ultrasonic wave based damage detection system. In this work, the interaction of A0 Lamb mode with damages like crack and delamination are studied. Piezoelectric Wafer Active Sensors (PWAS) are used for generation of Lamb waves to detect damages in metal and composite structures. Experiments were conducted on aluminum plates to study the interaction of Lamb wave with crack oriented at different angles and on a titanium turbine blade of complex geometry with a fine surface crack. A geodesic based Lamb wave approach was employed to locate a crack in an aluminum plate. The existing geodesic algorithm is improved by replacing the Dijkstra’s algorithm with the accurate fast marching method. Further, the interactions of A0 mode with multiple layer delaminations in glass fiber epoxy composite laminates were studied. Spectral Finite Element Method (SFEM) is used for numerical simulation to validate the experimental results. Time-frequency analysis techniques, namely Wavelet Transform (WT) and Hilbert Huang transform (HHT) are used to study the experimental signals and their performances were compared. This study provides significant insight into the problem of identifying localized damages in the structure using integrated PWAS and dispersion of multi-frequency signal after they interact with different types of damage.
Long-Reach Flying Functional Inkjet System By Employing Electrostatic Acceleration
Authors: Nishimura Y. , Han Hirofumi , Koshimoto Y. 
Published: November 2017

Abstract
In this paper, the authors proposed a novel idea of a long-reach flying inkjet system employing electrostatically-accelerated ink drop for the purpose of functional ink micro pattern plotting by contact-free and environment friendly. Proposed working principle was demonstrated through experiment and analysis. At the 5-mm of electrode gap and φ 120 μm of nozzle, the applicable maximum voltage was 3.5kV realizing 67% up (1.67 times) of droplet flying velocity by one-step of accelerating. By φ 10 μm of droplet, over 35m/s of flying velocity was promising and by 2~3 steps of acceleratingfurther of speed increment could be expected.