bluuebunny/crossref_metadata_2025_split huggingface dataset:
Device Application of Non-Equilibrium MOS Capacitors Fabricated on High Resistivity Silicon
Authors: Malik O. , De la Hidalga-W F. J. 
Published: February 2018

Abstract
–This work shows that the direct pulse-wide-modulated (PWM) output electric signal, with a duty cycle controlled by light intensity, can be obtained using a circuit that contains a sawtooth voltage generator connected in series with a dc voltage source and a metal (semitransparent gate) oxide semiconductor capacitor (MOS-C) operating in non-equilibrium mode.
Amplified output signal presents positive and negative PWM waveforms that can be easily separated using diodes. The duty of the positive part is proportional to the light intensity, whereas for the negative part is inversely proportional to the intensity. The frequency operating range of this proposed instrument varies from 1 Hz to a few kilohertz. The duty cycle of the PWM output signal varies from 2 to 98 % when the incident light intensity is varying in the microwatts range. This new transducer could be useful for automatic control, robotic applications, dimmer systems feedback electronic systems, and non-contact optical position sensing for nulling and centering measurements. The detailed description of the physical and operating principles of this invented transducer are presented.
A Novel Two-Step Strategy For Point Correspondence In Multi-Ocular System
Authors: Wang Haibin , He Qing , Guan Guan , Leng Bin , Zeng Dewen 
Published: February 2018

Abstract
Camera is widely used for 3D-Reconstruction and Recognition where a fundamental task is point correspondence that finds the corresponding points captured by different cameras from the same 3D-point. The approaches based on epipolar constraint are very effective for the task. However, they set the threshold of epipolar constraint by empirical method, and their complexity and computational cost will quickly increase with increasing the number of cameras. This paper proposes a novel two-step strategy using epipolar constraint regardless of the number of cameras in a uniform way. The strategy uses a statistic method to set the threshold, and decomposes the task of point correspondence in a multi-ocular system into the task of point correspondence in several binocular systems by transitivity constraint. The experiment and theoretical analyses indicate our approach is better than existing methods on complexity and computational cost.
Data Fusion Algorithm of Fault Diagnosis Considering Sensor Measurement Uncertainty
Authors: Xiaobin Xu , Zhe Zhou , Chenglin Wen 
Published: February 2018

Abstract
This paper presents data fusion algorithm of fault diagnosis considering sensor measurement uncertainty. Random-fuzzy variables (RFV) are used to model testing patterns (TPs) and fault template patterns (FTPs) respectively according to on-line sensor monitoring data and typical historical sensor data reflecting every fault mode. A similarity measure is given to calculate matching degree between a TP and each FTP in fault database such that Basic Probability Assignment (BPA) can be obtained by normalizing matching degree. Several BPAs provided by many sensor sources are fused by Dempster’s rule of combination. A diagnosis decision-making can be done according to the fusion results. Finally, the diagnosis examples of machine rotor system with vibration sensors show that the proposed method can enhance accuracy and reliability of data fusion-based diagnosis system.
De-Noising Signal of The Quartz Flexural Accelerometer by Multiwavelet Shrinkage
Authors: Chihang Zhao , Xin Zhong , Qian Dang , Liye Zhao 
Published: February 2018

Abstract
Methods of de-noising the output signal of the JSD-I/A quartz flexural accelerometer based on five types of multiwavelets are comparatively investigated in this paper. Firstly, the theory of multiwavelet transform and the generalized cross validation criterion are analyzed. Secondly, because the JSD-I/A quartz flexural accelerometer which is fixed in SCT-1 two-axis rotation platform by the appropriative clamp has a start-up procedure of 3 minutes, the output signal of the quartz flexural accelerometer are sampled after applying the voltage for 5 minutes. Thirdly, based on the soft threshold function and the universal threshold, GHM orthogonal multiwavelet, SA4 orthogonal multiwavelet, CL orthogonal multiwavelet, Cardbal2 balanced multiwavelet and BIGHM biorthogonal multiwavelet are applied to de-noise the sampled signal of the JSD-I/A quartz flexural accelerometer with 4 decomposition level, respectively. Lastly, the generalized cross validation criterion is used to evaluate the de-noising effects of the above five multiwavelets. The experimental results shows that the generalized cross validation value of BIGHM biorthogonal multiwavelet is effective in de-nosing the the output signal of the JSD-I/A quartz flexural accelerometer, and offer the best performance than GHM orthogonal multiwavelet, SA4 orthogonal multiwavelet, CL orthogonal multiwavelet and Cardbal2 balanced multiwavelet.
A Wsn-Based On-Line Working Condition Monitoring System For Large Electrical Equipment
Authors: Chen Xuejun , Yang Yongming 
Published: February 2018

Abstract
To solve the problems of traditional wired on-line monitoring system which has lines too much, cost too high, fault diagnosing and maintaining difficulties and so on, an on-line working condition monitoring system for large electrical equipment based on wireless sensor network (WSN) is proposed, designed and implemented. CC2431 chips were used for hardware design of wireless sensor network node and base station, and the TinyOS transplanted into the sensor nodes and base stations are discussed in detail. Then, a management software system based on LabVIEW and database programming technique is proposed and implemented. The experiment results show that the system can satisfy the needs for real-time data gathering, data storage, data curve drawing, low power consumption, wide coverage, no region limitation. It’s a good operation performance.
A Simple Scheme for Location and Distance Estimation of Wireless Sensor Nodes In Outdoor Environments
Authors: Dubey Tarun , Sahu O.P. 
Published: February 2018

Abstract
In this paper we suggest a simple, practical and cost effective localization scheme that can be used to manually deploy wireless sensors to form wireless sensor networks (WSNs). We test our scheme exclusively in outdoor environments using commercially available IRIS XM2110 sensor motes. The location discovery of sensor motes deployed in outdoor environments is obtained in accordance with geographical latitude and longitude. The distance between the deployed sensor motes is also computed using the Haversine formula. The proposed scheme is the outcome of experiments performed on data visualization and monitoring tool Mote View 2.0.F developed by Crossbow Technology™. The proposed scheme is easy to implement and requires less number of sensor motes as compared to other manual deployment based schemes. The visualization of location is validated on Google earth geographical information program.
Pure and Cupricated BaSnO3 thick film resistor: Synthesis, Characterization and studies on its gas sensing performance
Authors: Patil N.U. , Gaikwad V.B. , Hire P.D. , Chaudhari R.M. , Deore M. K. , Jain G. H. 
Published: February 2018

Abstract
In this work we report the synthesis, microstructure, electric properties and sensing performance of BaSnO3 (BS) powder, it was prepared by mechano-chemical method. As prepared powder is calcinated at temperatures 1100 °c, and 1300 °c tested for crystallization. Thick films were prepared using simple screen-printing technology. Structural and electrical analyses were performed and the results have been correlated. The material was tested for various gases such as CO, CO2
, NH3, Cl2, H2, LPG, ethanol, and H2S. The pure BS film shows good response multiple gases at various operating temperature up to 5000C as NH3, CO2, CO, ethanol and, H2S for different gas concentrations, when the pure film is surface modified with aqueous solution of Cucl2 using simple dipping technique for various time intervals (5 min., 10 min., 20 min. and, 30 min.), film improves the selectivity and sensitivity. Maximum response (S=36.2) was found to H2S gas at temperature of 250 0C and S=12.1 for ethanol at 500 °c for gas concentration of 50 ppm with film dipped for 10 min. time interval. The characterization of the films was done by XRD, SEM and TG-DTA. Crystallite size, texture coefficient, specific surface area, electric properties and gas sensitivity of the films were measured and presented.
Flexible E-Textile Sensors For Real-Time Health Monitoring At Microwave Frequencies
Authors: Mason A. , Wylie S. , Korostynska O. , Cordova-Lopez L. E. , Al-Shamma’a A. I. 
Published: February 2018

Abstract
This paper reports on testing of the performance of SmartLife® e-textile material. In particular, the response of the integrated conductive pathways at microwave frequencies in the region of 9 kHz to 6 GHz is investigated for both biomedical sensing and signal transmission purposes. The experimental results confirm the viability of exciting the e-textile material at ISM microwave frequencies at mW powers for the purposes of wearable non-invasive sensing. Custom made flexible microwave sensors suitable for integration into smart e-textile fabric were tested in their ability to perform real-time body parameters monitoring, in particular the level and composition of perspiration. Gradual change in both the resonant frequency peak and amplitude was recorded in the 2-3 GHz frequency range with increased volume of fluid (50-350 μl) when in contact with a 5×8 mm2 sensor.
This fabric with built-in textile sensors could serve as a platform for “high-tech designer outfits” for an advanced healthcare approach where real-time data on patient condition is transmitted wirelessly for immediate processing and corrective action if necessary. The novel sensor reported here was recently patented under milestone UK patent application number GB 2500000.
New Intelligent Classification Method Based On Improved Meb Algorithm
Authors: Wang Yongqing , Liu Lei 
Published: February 2018

Abstract
We present a simple approximate algorithm to compute the Minimum Enclosing Ball (MEB) of training samples in high dimensional Euclidean space. We prove theoretically that the proposed algorithm converges to the optimum within any precision quickly. Compared to popular MEB algorithms, it has the competitive performances on both training time and accuracy. Besides, the proposed algorithm does not need any extra requirement on kernels, it can be linked with extensive kernel methods, consequently. We also use the proposed algorithm to handle Binary Classification, Multi-class Classification, and Image Clustering problems. Experiments on both synthetic and real-world data sets demonstrate the validity of the algorithm we proposed.
Study Of Vision Based Hand Gesture Recognition Using Indian Sign Language
Authors: Ghotkar Archana S. , Kharate Gajanan K. 
Published: February 2018

Abstract
Human Computer Interaction moves forward in the field of sign language interpretation. Indian Sign Language (ISL) Interpretation system is a good way to help the Indian hearing impaired people to interact with normal people with the help of computer. As compared to other sign languages, ISL interpretation has got less attention by the researcher. In this paper, some historical background, need, scope and concern of ISL are given. Vision based hand gesture recognition system have been discussed as hand plays vital communication mode. Considering earlier reported work, various techniques available for hand tracking, segmentation, feature extraction and classification are listed. Vision based system have challenges over traditional hardware based approach; by efficient use of computer vision and pattern recognition, it is possible to work on such system which will be natural and accepted, in general.
The Research On Cab Simulator Of Quay Crane Containers On Classical Washout Algorithm
Authors: Shi Xiaowei , Xu Yiteng , Huang Youfang , Lu Houjun 
Published: February 2018

Abstract
The acceleration of the speed of the quay crane for containers has raised a higher demand to the dynamic simulation system which is the key part of the simulator in the coast container crane. So it is very necessary to do this research on it. This essay, aimed at the seat motion system of training simulator in the coast container crane, lays a study on the key points in the design of the proprioceptive simulation algorithm of the bridge crane simulator and proposes the realization method for it. This method can help to find the most proper washout point and optimizes the fixed parameter so as to be able to improve the simulation fidelity by offering a better system. It also establishes the simulation model by MATLAB on the basis of which it operates the simulation calculation and analysis on a group of practical motion data. The result shows that this algorithm provides an effective way for the application of the TDOF simulator.
Research On Chips’ Defect Extraction Based On Image-Matching
Authors: Zhang Daode , Xue Yangliu , Ye Xuhui , Li Yanli 
Published: February 2018

Abstract
Image-matching is a basic task in image procession used to (geometrically) match two or more images such as different times, different sensors and different view points. Improved image-matching technology has been widely applied in medical image, remote sensing image, computer vision military and so on. What put forward at the present can be most divided into matching method based on gray and features. The article presents a scheme that is based on subtraction images matching with dynamic selection of templates, which overcomes these more sensitive disadvantages like gray, rotate, deformation and occlusion to achieve accurate calibration for different images.
Active Modeling Based Yaw Control of Unmanned Rotorcraft
Authors: Peng Yan , Guo Wenqing , Liu Mei , Xie Shaorong 
Published: February 2018

Abstract
With the characteristics of input nonlinearity, time-varying parameters and the couplings between main and tail rotor, it is difficult for the yaw dynamics of Rotorcraft to realize good tracking performance while maintaining stability and robustness simultaneously. In this paper, a new kind of robust controller design strategy based on active modeling technique is proposed to attenuate the uncertainties pre-described in the yaw control of unmanned systems. Firstly, by detailed analysis, the uncertainties are introduced into the new-designed yaw dynamics model by using the concept of modeling errors. Then, Kalman filter is used to estimate the modeling errors simultaneously, which is used subsequently to design the robust controller. Finally, the new strategy is tested with respect to the unmanned Rotorcraft system to show the feasibility and validity of it.
Predistortion System Implementation Based On Analog Neural Networks For Linearizing High Power Amplifiers Transfer Characteristics
Authors: Mulliez B. , Moutaye E. , Tap H. , Gatet L. , Gizard F. 
Published: February 2018

Abstract
In order to correct non-linearities due to High Power Amplifiers (HPA) operating near saturation in telecommunication transceivers, a new adaptive predistortion system based on analog Neural Networks (NNs) was developed. Based on size, consumption and bandwidth considerations, Multi-Layer Perceptron (MLP) type NNs were implemented in a 0.6 μm CMOS ASIC. The NNs parameters are digitally updated with a computer, depending on simulation conditions (temperature drifts, ageing variations). The interface between the analog part and the software updating system is integrated in an analog-digital PCB including a FPGA, 6 analog-to-digital converters and 62 digital-to-analog converters. This paper describes the realization of each part of the breadboard system and presents experimental validation results of the whole predistortion module.
Detecting Laser Spot In Shooting Simulator Using An Embedded Camera
Authors: Soetedjo Aryuanto , Mahmudi Ali , Ashari M. Ibrahim , Nakhoda Yusuf Ismail 
Published: February 2018

Abstract
This paper presents the application of an embedded camera system for detecting laser spot in the shooting simulator. The proposed shooting simulator uses a specific target box, where the circular pattern target is mounted. The embedded camera is installed inside the box to capture the circular pattern target and laser spot image. To localize the circular pattern automatically, two colored solid circles are painted on the target. This technique allows the simple and fast color tracking to track the colored objects for localizing the circular pattern. The CMUCam4 is employed as the embedded camera. It is able to localize the target and detect the laser spot in real-time at 30 fps. From the experimental results, the errors in calculating shooting score and detecting laser spot are 3.82% and 0.68% respectively. Further the proposed system provides the more accurate scoring system in real number compared to the conventional integer number.
Error Modeling And Compensation Of 3D Scanning Robot System Based On Pso-Rbfnn
Authors: Qi Jianhong , Cai Jinda 
Published: February 2018

abstract
In order to improve the measurement accuracy of three-dimensional (3D) scanning robot, a method of 3D scanning robot system error modeling and compensation based on particle swarm optimization radial basis function neural network (PSO-RBFNN) is proposed to achieve intelligent compensation of measurement error. The structure, calibration and error modeling process of 3D scanning robot system are mainly described. Cleverly using the iterative closest point (ICP) algorithm to construct input and output data pairs of neural network, and the specific process of error modeling using PSO-RBFNN is given. Finally, through the actual experiment we test and verify the correctness and effectiveness of the proposed error modeling and compensation method by measuring the distance between the centers of two standard balls. Experimental results show: the proposed error model and the compensation method can effectively compensate the measurement errors and improve the accuracy of the 3D scanning robot system.
Vehicle Model Recognition Based On Using Image Processing And Wavelet Analysis
Authors: Abadi Elyas Abbasi Jennat , Amiri Soheyl Akhlaghi , Goharimanesh Masoud , Akbari Aliakbar 
Published: February 2018

Abstract
Today, using intelligent transport systems such as identifying vehicle type for monitoring traffic in urban areas can advantage a lot. In this paper, a new method has been presented to detect vehicle type with only one reference image per class. Our algorithm is based on searching mean gradients and analysing these changes by Daubechies wavelet transformation. Firstly, a feature vector is obtained based on the car boundary changes of the side view image in proposed system. This vector is then analyzed by Daubechies wavelet transformation and three statistical criteria; variance, norm-1 and norm-2 are extracted from wavelet coefficients. Finally, a similarity factor is defined to detect the same type of vehicles. The proposed algorithm is resistant against car edge negligible changes and the experimental results indicate the high performance of system in detecting the vehicle types
High Precision Target Localization Method Based On Compensation Of Attitude Angle Errors
Authors: Liu Jialiang , Ding Wenrui , Li Hongguang 
Published: February 2018

Abstract
The attitude angles of UAV, as the input parameters of the target localization process, influence the accuracy of geo-targeting. In order to improve the accuracy of target localization, this paper compensates the attitude angle errors of the UAV based on learning prediction compensation. Firstly, considering the airborne equipment and the metadata provided by the UAV, we combine rear intersection with GPS/INS to calculate the error of each platform and aircraft attitude angle. Then the error prediction model to compensate each platform and aircraft attitude error is derived by analyzing the error distribution and polynomial regression. Afterwards, because of the limit of the UAV aerial image amount and the similar influence of each attitude angle error on targeting and geometric correction, we use equivalent optical axis angle to represent platform and aircraft attitudes. Furthermore, we also predict and compensate the error of the equivalent angle. In this process, we adopt SVM and regression to classify and obtain error prediction model of equivalent optical axis angle. Finally, the actual data is used to verify the compensation algorithm. The results show that the method can improve the accuracy of target localization efficiently, and has a certain value of engineering guidance and practical application
A Novel Grid Intersection Point Detection And Matching Method In The Binocular Pulse Measurement System
Authors: M.Yang L. , Zhang A. H. , Lin D. M. , Zhu L. 
Published: February 2018

Abstract
To improve the accuracy of binocular 3D image reconstruction, the grid-pattern structure lines are printed on the detected objects and the grid lines intersection points are adopted as feature points and primitives in matching process. In this paper, a novel method for detecting the intersection points of the grid lines based on image segmentation and ridge line fitting is proposed. Firstly, the set of line segments on the border of the grid lines are extracted using the Canny edge detector and Hough transformation. Then, the global structure parameters are acquired through cluster analysis. Secondly, the grayscale image is divided into several detection regions (each of which includes one intersection point to be detected) in accordance to the obtained global structure parameters and the intersection points in the detection regions are accurately located using the ridge line fitting method. Finally, the intersection points in the left and right images are matched based on their distributions. To examine the detection performance of the proposed method, experiments have been conducted on actual and polluted images, respectively. The experimental results have demonstrated that the recognition ratio of the intersection points by the proposed ridge line fitting-based method is as high as 100%, the false positive ratio is 0 and the matching accuracy is up to 100%. Compared with the results obtained using traditional methods, the proposed method detection results are characterized by high accuracy, stability, uniqueness and invariability. Hence, the proposed method can meet the demands of 3D image reconstruction
New Adaptive Sliding-Mode Observer Design For Sensorless Control Of Pmsm In Electric Vehicle Drive System
Authors: Xiao Xiong , Zhang Yongjun , Wang Jing , Du Haiping 
Published: February 2018

Abstract
In this study, a new adaptive sliding-mode observer is proposed to estimate the rotor position and speed for sensorless control of permanent-magnet synchronous motor (PMSM) in an electric vehicle drive system. This observer can effectively reduce the estimation errors caused by the inherent chattering phenomenon for a conventional sliding-mode observer and the stator resistance uncertainty due to the variation of motor temperature. This new sliding-mode observer is designed by using a hyperbolic tangent function instead of sign function together with a variable boundary layer, and the new adaptive law is constructed according to the back electromotive force model to reinforce dynamic performance and the robustness of system. Meanwhile, a stator resistance identification algorithm is raised and guaranteed to be stable by using a Lyapunov method. The performance of the developed observer is compared with the conventional sliding-mode controller. Both simulation and experimental results confirm that the chattering phenomenon is effectively eliminated and the estimation accuracy for position and velocity is apparently improved when applying the developed observer in the electric vehicle drive system