bluuebunny/crossref_metadata_2025 huggingface dataset:
Microwave Signal Propagation on Oil Palm Trees: Measurements and Analysis
Authors: Rizman Z. I. , Jusoff K. , Rais S. S. , Bakar H. H. H. , Nair G. K. S. , Ho Y. K.
Published: February 2018

This paper presents the study of microwave signal attenuation on oil palm trees at 0.9 GHz, 1.8 GHz and 2.3 GHz frequencies. The main objective is to investigate the characteristics of propagation phenomenon by analysing the received signal strength. The experiments were made at the estate where there are straight line uniform canopies of mature oil palm trees. The measurements were carried out on the same transmission paths with different number of trees and height at trunk, leaves and fruits which obstructing the signal paths. The results have shown that excessive attenuation is due to scattering, depolarisation, fluctuation and absorption. It is strongly aggrees with the previous studies. Further studies on other types of vegetation and environments, and its seasonal differences are important as future research.
Perfect Tracking Control with Discrete-Time LQR for a Non-Minimum Phase Electro-Hydraulic Actuator System
Authors: Ghazali R. , Sam Y. M. , Rahmat M. F. , Zulfatman  , Hashim A. W. I. M.
Published: February 2018

This paper presents a perfect tracking control for discrete-time nonminimum phase of electro-hydraulic servo (EHS) system by adopting a combination of feedback and feedforward controller. A linear-quadratic-regulator (LQR) is firstly design as a feedback controller and a feedforward controller is then proposed to eliminate the phase error emerge by the LQR controller during the tracking control. The feedforward controller is develop by implementing the zero phase error tracking control (ZPETC) technique which the main difficulty arises from the non-minimum phase system is have no stable inverse. Subsequently, the controller is applied to EHS system which is represented in discrete-time model where the model is obtained experimentally using system identification method. The proposed controller design using ZPETC is particularly suited to the various positioning control applications that encounter non-minimum phase problem. It is also shows that the controller offers good performance in reducing phase and gain error that typically occur in positioning or tracking systems.
0.35 μm CMOS Optical Sensor for an Integrated Transimpedance Circuit
Authors: Escid H. , Attari M. , Ait aidir M. , Mechti W.
Published: February 2018

This paper presents an integrated optical receiver which consists of an integrated photodetector, and a transimpedance circuit. A series inductive peaking is used for enhancing the bandwidth. The proposed structure operates at a data rate of 10 Gb/s with a BER of Iff20 and was implemented in a 0.35 μm CMOS process.

The integrated photodiode has a capacitance of 0.01 pF which permits to the structure to achieve a wide bandwidth (5.75 GHz) with only one inductor before the last stage; hence a smaller silicon area is maintained. The proposed TIA has a gain of36.56 dBΩ (67.57 KΩ), and an input courant noise level of about 25.8 pA/Hz0.5. It consumes a DC power of 87.4 mW from 3.3 V supply voltage.
Edge Extraction using Image and Three-Axis Tactile Data
Authors: Abdullah Sukarnur Che , Ikai Takuya , Dosho Yusuke , Yussof Hanafiah Bin , Ohka Masahiro
Published: February 2018

This paper describes a hand-arm system equipped with optical three-axis tactile sensors and a binocular vision sensor. The vision compensates for the limitations of tactile information and tactile sensing, and vice versa. The tactile sensor can obtain geometrical data as real scale, while image data requires calibration to obtain length as a metric unit. Even if stereovision is used, we cannot obtain sufficient precision. In the evaluation test, the robotic hand equipped with tactile sensors traces an object including convex and concave portions to evaluate edge trace precision. Error of distance obtained by the binocular vision is around ± 10 mm when distance between the camera and object is around 600 mm. When the hand-arm robot touches the convex portion of the object, size data obtained by the vision is modified within ± 0.5 mm accuracy. Since the robotic finger is too thick to touch the bottom of the concave, size data of the concave portion obtained by tactile sensing includes relatively large error of around 4 mm. However, the robot finger can follow the contour with ± 0.5 mm accuracy except for the bottom portion. Therefore, vision sensing is not sufficient for precise edge exploration and modification based on tactile sensing is required.
Wireless sensing of open loop micro inductors using Helmholtz coil
Authors: Yousaf A. , Khan F.A. , Reindl L.M
Published: February 2018

This paper reports wireless sensing of open loop micro inductors parameters i.e. distributed capacitance, inductance, resistance and Q factor in presence uniform magnetic fields generated by Helmholtz coils pair. A frequency dependent analytical model is developed which models the inductively coupled system including the effects generated by the presence of test micro coil in uniform magnetic field. Micro inductor parameters are extracted from the remotely measured impedance signal and compared with the developed modeled. Further to visualize the magnetic field coupling effects and numerically compute the micro inductor parameters, FEM simulation is performed using HFSS and COMSOL Multiphyscics.
Biologically-Inspired Signal Processor using Lateral Inhibition and Integrative Function Mechanisms for High Instantaneous Dynamic Range
Authors: George Kiran , Chen Chien-In Henry
Published: February 2018

This paper presents a biologically-inspired signal processor, which allows selective amplification of signals, and signal channeling mechanism to increase the contrast and sharpness of the perceived signals. The processor draws influence from lateral inhibition and integrative function mechanisms of the human nervous system. The uniqueness of the proposed design is that it combines two intelligent signal transmission mechanisms of the human nervous system with desirable capabilities: 1) wide input bandwidth, and 2) high instantaneous dynamic range. The simulations results demonstrate that the proposed design can selectively amplify weak signals among four existing strong signals and suppress noise and spurs to expose and detect weak signals, which is 58 dB below the strong ones if 4096-point FFT is used.
LabVIEW Based Characterization and Optimization of Thermal Sensors
Authors: Afsarimanesh Nasrin , Ahmed Pathan Zaheer
Published: February 2018

Reliable operation of a transducer carries a great importance while choosing it for a particular application.This project report characterization of thermistor, and RTD in detail. Thermal transducers are widely used transducers in most of the industrial and scientific instrumentation. These transducers of different types and parameters are commercially available in the market by different manufacturers. The manufactures need to test large volume for specifying the parameters of these devices. More over this test would serve as feedback for quality assurance and production schedule. Moreover any upgradation in processing technology proposed by the research and development activities has to be evaluated before launching in to the production. On the other hand the users of such transducers would need to test the critical parameters before they use it in a specific application. The LabVIEW software, its example and LabVIEW based characterization setup reported here offer reliable high speed solution with flexibility in the form of software adjustment for performing different test suitable to both categories such as manufacturers and the users.
Study of Endoscopy for Dental Treatment
Authors: Yoshii Shinji , Zhang Yupeng , Ikezawa Satoshi , Kitamura Chiaki , Nishihara Tatsuji , Ueda Toshitsugu
Published: February 2018

Observation of the oral cavity microstructure is an important factor for a successful dental treatment. None of the many currently available diagnostic equipment can accurately observe the microstructure. In this study, we have designed an endoscope with a single graded-index multimode fiber of 600-μm diameter that can reach the narrow spaces in the oral cavity and can perform both image acquisition and sample illumination using a prism beam splitter, unlike the conventional endoscope using separate fibers. Thus, the side branch of the teeth and the subgingival calculus can be accurately observed with a resolution of up to 10 μm.
Adaptive Spray Routing For Opportunistic Networks
Authors: Jia Xu , Xin Feng , Chuan Wang Ru
Published: February 2018

opportunistic networks are sparse wireless networks where most of the time there is nocomplete path from the source to the destination. Many applications require delay constrained routing mechanism which can provide acceptable and resilient service in the face of challenged environments. A class of adaptive spray mechanisms which aims to achieve the delay constraint with low cost in dynamic circumstances was proposed in this paper. Adaptive spray mechanisms use relay nodes to make spray decisions in order to apperceive the change of network conditions exquisitely. These protocols are least-cost delay-bounded routing protocols under specific spray mechanisms. Theoretic analyses of adaptive spray routings at aspects of routing cost, copy redundancy and expected delay were also given in this paper. Simulation results have shown that adaptive spray mechanisms exhibit prominent superiority in routing cost, adaptability and scalability. Adaptive spray mechanisms are a class of correct and efficient delay-bounded routings for opportunistic networks.
Feed Forward Linear Quadratic Controller Design For An Industrial Electro Hydraulic Actuator System With Servo Valve
Authors: Micheal J. , Rahmat M.F. , Wahab N. Abdul , Lai W.K.
Published: February 2018

Electro-hydraulic servo actuator (EHA) system consists of several dynamic parts which are widely used in motion control application. These dynamic parts need to be controlled to determine direction of the motion. In this research paper, system identification technique is used for system modeling and the model of the system is estimated by using parameter estimation technique. This process started with collection of input and output data from experimental procedure. The data collected is used for model estimation and Auto Regressive with eXogeneous input (ARX) model is chosen as model structure of the system. Based on the input and output data of the system, best fit criterion and correlation analysis of the residual is analyzed to determine the adequate model to represent the EHA system. Once the model is obtained, discrete PID and feed forward plus Linear

Quadratic Regulator (LQR) controller is developed to improve the performance and position tracking performance of EHA system. In order to verify these controllers, it is applied to the real time system and the performance of the system is monitored. The result obtained shows that the output of the system in simulation mode and experimental works is almost similar for both controllers. The output of the system also tracked the input given successfully. Finally, by comparing the best tuning output from these two different controllers, feed forward plus LQR controller proved to give a better output performance than the classical discrete PID controller by minimize the phase lag and reduce disturbance effect in the system.
Detecting Wormhole Attacks In Wireless Sensor Networks Using Hop Count Analysis
Authors: Yao Lan , Zhao Zhibin , Yu Ge
Published: February 2018

The wormhole attack is a severe threat to wireless sensor networks. Most existing countermeasures for detecting and locating wormhole links either require extra hardware or are too complex for the inherently capability-constrained sensor nodes. Actually, wormhole links can enormously change the original sensor network topology. In this paper, we introduce the HCA4DW mechanism for detecting and locating wormholes in wireless sensor networks. It is based on the basic idea that the change of topology can be detected through neighborhood validation. We discover the maximum necessary hop count between the sensors in the same neighbor set for neighborhood validation. We describe the detail procedure of HCA4DW in this paper and test the performance of the HCA4DW mechanism rigorously through simulative experiments.
Theory and Technology of The Single-Probe Two-Step Method to Separate Error
Authors: Zhang Lei , Li Tong , Ding Jian , Yang Xiumin
Published: February 2018

The multi-step error separation technique is a important method of roundness error separation, but it is not suitable to be used in measuring online for multiple inversion of tested parts, long measurement period and vulnerable to surroundings in the implementation process. In this paper, the studies of single-probe two-step error separation method have been realized by single sensor which is rotated by different angle two times. Not only the influence of harmonic control is reduced, but also the efficiency is greatly improved. It has the advantages of multi-probe method and multi-step method. A mathematical description of the method is given by this paper, which establishes a error separation equation and gives the solving method. The method of error fitting to simulate three circumstances is also used by it: same spindle’s gyration error and existing random error and carries on computer simulation analysis. The results show that when the gyration error are identical, high error separation accuracy can be achieved by the method when there exists random error, although the influence on the measuring results of roundness error cannot be eliminated, the random errors can be decreased or basically eliminated by averaging the testing values of repeated measurements. Several contrastive experiments of the on-line measurement are carried out in a grinding machine (MB1332A). The results of these experiments successfully verify that the theory and mathematical models are correct. The contrast of the measuring results in these experiments proves that the Single-probe two-step method can realize the complete separation of all kinds of errors basically and this method is applicable to online measurement of a workpiece and it can also make the measurement accuracy very high.
Design of Backing-Up Fuzzy Controllers Based on Variable Universe of Discourse
Authors: Long Zuqiang , Long Wen , Yuan Yan , Yi Xiaobo
Published: February 2018

Fuzzy controllers with variable universe of discourse (VUD) have been applied in many fields of intelligent controlling because of their high-accuracy performance. This paper provides a lookup table method to design backing-up fuzzy controllers based on VUD. By setting a set of random start points, input–output data pairs are obtained using test-driving method. One data pair defines one fuzzy rule and also assigns the strength of every fuzzy rule. Conflicting fuzzy rule groups are integrated into one fuzzy rule by selecting the one with the maximum strength. A fuzzy rule table is built by the fuzzy rules deduced from input–output data pairs. Simulation experiments show that the VUD fuzzy controller outperforms the general fuzzy controller in accuracy at the final position of the parking lot.
Low Energy Adaptive Routing Hierarchy Based on Differential Evolution
Authors: Yin Xiangyuan , Ling Zhihao , Guan Liping
Published: February 2018

In recent years, wireless sensor network (WSN) is a rapidly evolving technological platform with tremendous and novel applications. Many routing protocols have been specially designed for WSN because the sensor nodes are typically battery-power. To prolong the network lifetime, power management and energy-efficient routing techniques become necessary. In large scale wireless sensor networks, hierarchical routing has the advantage of providing scalable and resource efficient solutions. To find an efficient way to decrease energy consumption and improve network lifetime, this paper proposes a centralized routing called Low-Energy Adaptive routing Hierarchy Based on Differential Evolution (LEACH-DE). Simulation results show that the proposed routing protocol outperforms other well known protocols including LEACH and LEACH-C in the aspects of reducing overall energy consumption and improving network lifetime.
Neural Networks Method Applied to The Property Study of Steel-Concrete Composite Columns Under Axial Compression
Authors: Liu Jianming
Published: February 2018

In this paper, a new type of steel-concrete composite member, concrete-filled core steel tube with outer angle steel plank reinforced concrete stub column, is proposed and a series of nonlinear 3-D(three-dimensional) full-range numerical calculations under axial compression are carried out, some important factors are analyzed, such as the strength of the concrete, the steel tube and the angle steel, the volume ratio of the steel tube and the angle steel to the overall column, position coefficient(the ratio of the diameter of the core steel tube to the overall width of the column section). RBFNNs(Radial Basis Function Neural Networks) are employed for calculated the loading capacity of the concrete-filled core steel tube with outer angle steel plank reinforecd concret stub columns under axial compression, and the prediction results based on RBFNNS are compared with theoretical formula calculation results. The maximum and minimum error ratio of prediction is 12.32% and 4.17%, respectively.
Review on Wordnet-Based Ontology Construction in China
Authors: Zhang Fei , Liu Wuying , Bi Yude
Published: February 2018

The problem of WordNet-based ontology construction was widely investigated and many effective methods have been proposed in China. The utilizations of the hierarchy structure of WordNet, the digraph structure of WordNet and auxiliary resources are main measures in the methods. Usually, the methods are facing three fundamental difficulties, the computation of semantic similarity, the construction of core ontology and the development of auxiliary resources. Through our reviews of previous researches, we find several inadequacies such as low utilization ratio of WordNet and the lack of standardized evaluation and give some suggestions for future works.
Recognition Of Psoriasis Features Via Daubechies D8 Wavelet Technique
Authors: Hashim H. , Ramli S. , Wahid N. , Sulaiman M. S. , Hassan N.
Published: February 2018

This paper presents a study in an efficient methodology for analysis and characterization of digital images psoriasis lesions using Daubechies D8 wavelet technique. The methodology is based on the transformation of 2D Discrete Wavelet Transform (DWT) algorithm for Daubechies D8 at first level to obtain the coefficients of the approximations and details sub-images. For classification method, statistical approach analysis is applied to identify significance difference between each groups of psoriasis in terms of mean and standard deviation parameter. Results performances are concluded by observing the error plots with 95% confidence interval and applied independent T-test. The test outcomes have shown that approximate mean and standard deviation parameter can be used to distinctively classify erythroderma from the other groups in consistent with visual observations of the error plots. Whilst, in order to discriminate guttate from the other groups, standard deviation parameters for horizontal, vertical and diagonal can be utilized. Based on the results, plaque is distinguishable with guttate and erythroderma by using standard deviation vertical sub-images parameter. Results of Daubechies D8 is compared with study done previously by using Daubechies D4 and Daubechies D12 in order to observe the reliability of the results in Daubechies families. The resultant parameters can be used to design computer-aided system in diagnosis the skin lesion of psoriasis.
Image Quality Assessment Method for Underwater Acoustic Communication Based on Digital Watermarking
Authors: Fei Yuan , Zheng-Shan Ye , Cong-Ren Lin , En Cheng
Published: February 2018

This paper proposes a method of reduced-reference image quality assessment based on watermarking algorithm in underwater acoustic channel. By embedding the watermark image into the original one, then delivering the combined image through the channel distortion, the same channel distortion would be exposed to the original and the watermark image. In the receiver,we use the blind extraction methods to recover the watermark image and use the watermark degradation to evaluate the quality of the original one. In this paper,we build three kinds of channels: AWGN channel, Rice fading channel and GB model channel to validate the feasibility of the method which would be used in the underwater acoustic channel.
An Enhanced Scheme in Controlling Both Coverage and Quality of Service in Wireless Sensor Networks
Authors: Wang Hao-Li , Tsai Rong-Guei , Li Long-Sheng
Published: February 2018

With the increasing number of applications for Wireless Sensor Networks (WSNs), different Quality of Services (QoS) levels based on the type of applications are required. An increasing research interest has been noted in the provision of QoS support in WSNs. QoS support in WSNs is challenging because of very limited resources, such as battery power, processing power, memory, and bandwidth. An earlier study introduced a QoS control approach based on the Gur Game. The Gur Game-based scheme can maintain QoS without knowing the total number of sensors. However, the Gur Game-based scheme does not consider the active sensor coverage. The problems of collecting redundant data and wasting bandwidth and battery energy arise if active sensors are distributed too densely or too sparsely. Therefore, this study proposes a Coverage-Aware QoS Control (CAQC) to achieve both QoS and coverage control using an enhanced reward function. Simulations that compared our scheme with previous studies in various environments indicated that CAQC creates a robust sensor network capable of achieving both QoS and coverage targets.
The Design and Evaluation of a Strategy of Data Placement in Cloud Computing Platform
Authors: Guo Wei , Luo Kaibo , Wang Xinjun , Cui Lizhen
Published: February 2018

Cloud computing has become a new platform for personal computing. However, while designing the strategy of data placement, there still lacks the consideration of systematic diversity of distributed transaction costs. This paper proposes the use of genetic algorithms to address the data placement problem in cloud computing. This strategy has adequately considered the correlation between data slices to minimize the total cost of distributed transactions. Compared to other methods, genetic algorithms have proven to comprehensively consider the correlation between the data slices in cloud computing, therefore greatly reducing the amount and cost of distributed transactions.
A Novel Packet Queuing And Scheduling Algorithm And Its Link Sharing Performance For Home Router
Authors: Yan Jin , Xiaoyuan Chen
Published: February 2018

A home router, or a home gateway, is the node that resides between a public network and a home network for computers to share Internet connections. To insert customized queuing and scheduling codes into the embedded Linux kernel is a way to make the Linux-based home routers support Quality of Service (QoS). It is desirable that the small Linux kernel adopts an efficient queuing and scheduling algorithm to support link sharing, priority and traffic shaping. The algorithm presented in this paper is based on the concept of hierarchical link-sharing and each class in the hierarchy is bound with a token bucket, which can shape the traffic of this class. The analysis and experiment results presented in the paper show that through the novel way of weighted fair token sharing, this proposed algorithm guarantees basic bandwidth service for each class and enables weighted fair sharing of excess bandwidth, with which home computers connected to the network share the Internet service evenly.
A Lexicon-Corpus-based Unsupervised Chinese Word Segmentation Approach
Authors: Pengyu Lu , Jingchuan Pu , Mingming Du , Xiaojuan Lou , Lijun Jin
Published: February 2018

This paper presents a Lexicon-Corpus-based Unsupervised (LCU) Chinese word segmentation approach to improve the Chinese word segmentation result. Specifically, it combines advantages of lexicon-based approach and Corpus-based approach to identify out-of-vocabulary (OOV) words and guarantee segmentation consistency of the actual words in texts as well. In addition, a Forward Maximum Fixed-count Segmentation (FMFS) algorithm is developed to identify phrases in texts at first. Detailed rules and experiment results of LCU are presented, too. Compared with lexicon-based approach or corpus-based approach, LCU approach makes a great improvement in Chinese word segmentation, especially for identifying n-char words. And also, two evaluation indexes are proposed to describe the effectiveness in extracting phrases, one is segmentation rate (S), and the other is segmentation consistency degree (D).
Self-Tuning Fuzzy Speed Controller Of Travelling Wave Ultrasonic Motor
Authors: Shi Jingzhuo , Zhao Juanping , Cao Zhe , Liang Yunpeng , Yuan Lan , Sun Bin
Published: February 2018

Aiming at the nonlinear characteristic of ultrasonic motor, some control strategies have been proposed to control the rotating speed of ultrasonic motor. But most of these strategies are too complex to realize using a low-cost embedded device. In this paper, a simple fuzzy speed controller is designed for ultrasonic motor. Until now, there has no mature and theoretic design method of fuzzy controller. Therefore, experience of expert is often used as the base of design. It makes the design of fuzzy controller become a sophisticated task. In this paper, the design method of fuzzy controller based on fuzzy model is described in detail. Rules of the fuzzy controller are optimized offline using ant colony optimization, and the appropriate parameters of fuzzy controller are also ascertained during the process of optimization. The designed controller is used to control the rotating speed of traveling wave ultrasonic motor with the type of USR60. According to the difference between the actual responses with different speed References, a kind of online tuning method is proposed to modulate the proportional coefficient of fuzzy control. Experiments indicate the validity of the proposed fuzzy controller.
Evaluation Of Different Sensing Approaches Concerning To Nondestructive Estimation Of Leaf Area Index (Lai) For Winter Wheat
Authors: Tavakoli H. , Mohtasebi S.S. , Alimardani R. , Gebbers R.
Published: February 2018

Different approaches of non-destructive estimation of the LAI in winter wheat were compared. Plant height had weak relation with the LAI, while estimated biomass showed high logarithmic relationship (R2=0.839). NDRE and REIP were logarithmically well related to the LAI (R2=0.726 and 0.779 respectively). Saturation effect of NDRE and REIP was less than NDVI. Some RGB-based indices also showed good potential to estimate the LAI. Among the indices, Gm, GMB, RMB, and NRMB were better related to the LAI. The results indicated that digital cameras can be used as an affordable and simple approach for assessment of the LAI of crops.
Moving Target Detection Based On Global Motion Estimation In Dynamic Environment
Authors: Jun-chai GAO , Ming-yong LIU , Fei XU
Published: February 2018

AUV localization is not accurate based on sequence images if moving target is as landmark, so the moving target detection algorithm is studied based on global motion estimation, which detects and eliminates moving target according to the motion inconsistency of the moving target. Generally grid block matching is used in the global motion estimation, it can’t effectively dispose the dynamic background, and the gradient direction invariant moments descriptors method of free circular neighborhood based on feature points is proposed, which is effective for the background rotating and light changing in two adjacent images. For the matching points, the parameters of global motion are estimated robustly combined with normalized linear estimation method and least median squares. Experiments show that the designed algorithm can effectively estimate parameters of global motion, and eliminate the motion target as mismatch.
Augmented Reality Game Therapy For Children With Autism Spectrum Disorder
Authors: Bhatt S.K. , Leon N.I. De , Al-Jumaily Adel
Published: February 2018

abstract

This paper presents progress on treating children with Autism Spectrum Disorder (ASD) using Augmented Reality based games. The aim of these games is to enhance social interaction and hand-eye coordination in children with ASD thus easing them into becoming more comfortable around unfamiliar people. Colour detection and tracking and motion tracking concepts in augmented reality have been used to develop games for young children with ASD. The idea is that these games will encourage concentration and imagination from children through repetitive movement and visual feedback.
Development Of Neural Network-Based Electronic Nose For Herbs Recognition
Authors: Soh A. Che , Chow K.K. , Yusuf U. K. Mohammad , Ishak A. J. , Hassan M. K. , Khamis S.
Published: February 2018

abstract

The ability to classify distinctive odor pattern for aromatic plants species provides significant impact in food industry especially for herbs. Each herbs species has a unique physicochemical and a distinctive odors. This project emphasizes on the techniques of artificial intelligence (AI) to distinguish distinctive odor pattern for herbs. Neural Network method has been exploited for the classification and optimization of various odor patterns. Based on AI techniques, Neural Network-based electronic nose system for herbs recognition has been developed. The system consist multi-sensor gas array which detects gas through an increase in electrical conductivity when reducing gases are absorbed on the sensor’s surface. The output from individual sensors are collectively assembled and integrated to produce a distinct digital response pattern. A selected sensor array shows its relationship with the aroma of the herbs through the GC-MS test. By using five samples of herbs, the E-nose system has been tested with five different types of sensor. From the results, E-nose system with five sensors has the highest capability in classifying herbs sample. Accuracy in classifying the correct herbs increases with the number of sensors used. This investigation demonstrates that the neural network-based electronic nose technique promises a successful technique in the ability to classify distinctive odor pattern for aromatic herbs species.
Synthesis, Characterization And Gas Sensing Performance Of Sol-Gel Prepared Nanocrystalline Sno2 Thin Films
Authors: Bari Ramesh H. , Patil Sharad.B. , Bari Anil.R.
Published: February 2018

abstract

Nanocrystalline SnO2 thin films were successfully prepared using sol-gel dip coating technique. The starting precursor was used as tin chloride dihydrate (SnCl2.2H2O), ethanol and glycerin. As the prepared films were fired at 500oC. These films were characterized using XRD, FE-SEM and TEM to known crystal structure, surface morphology and microstructure property. Elemental composition was studied using energy dispersive spectrophotometer (EDAX). The H2 gas sensing performance of nanocrystalline SnO2 thin films were investigated and presented. It was found that the nanocrystalline SnO2 thin films gives maximum gas response (S= 360) at 75 oC. The sensor shows fast speed of response (TResponse = 2 s) and quick recover (Trecover = 8 s).
Socially Acceptable Smart Wheelchair Navigation From Head Orientation Observation
Authors: Tomari Razali , Kobayashi Yoshnori , Kuno Yoshinori
Published: February 2018

abstract

Robotic wheelchairs should move among humans without bringing about uncomfortable situation to them. This paper tackles this issue to propose a method of navigation in indoor environments with presence of humans based on the observation of head information obtained from color and range images. Initially head regions in the color image are tracked and their orientations are estimated using AdaBoost based particle filter trained to classify multiple-pose faces. Then the head orientation data are integrated with the head position data in the range image to determine the wheelchair motion so that it can smoothly move among humans. Experimental results demonstrate the feasibility of the proposed approach
Hybrid Intelligent Method of Identifying Stator Resistance of Motorized Spindle
Authors: Zhang Lixiu , Wu Yuhou , Zhang Ke
Published: February 2018

abstract

Aiming at the problem that changes of nonlinear dynamic resistance of stator affect the performance of speed sensorless vector control system, a hybrid computing intelligence approach is used in the identification of stator resistance of motorized spindle. The partial least squares (PLS) regression is combined with neural network to solve the problem of few samples and multi-correlation of variables in complicated data modeling. The PLS method is used to extract variable components from sample data and then reduced the dimension of input variables. Moreover, neural network is used to fit the non-linearity between input and output variables. The model based on partial least squares regression and neural network can identify stator resistance under different conditions of the motorized spindle. The results show that the method has high identification precision and is helpful to improve the performance of vector control system.
Extended Kalman Filtering and Pathloss modeling for Shadow Power Parameter Estimation in Mobile Wireless Communications
Authors: Pappas George P. , Zohdy Mohamed A.
Published: February 2018

abstract

In this paper accurate estimation of parameters, higher order state space prediction methods and Extended Kalman filter (EKF) for modeling shadow power in wireless mobile communications are developed. Path-loss parameter estimation models are compared and evaluated. Shadow power estimation methods in wireless cellular communications are very important for use in power control of mobile device and base station. The methods are validated and compared to existing methods, Kalman Filter (KF) with Gaussian and Non-Gaussian noise environments. These methods provide better parameter estimation and are more accurate in most realistic situations. EKF can estimate the model channel parameters and predict states in state-space.
Vision-Integrated Physiotherapy Service Robot Using Cooperating Two Arms
Authors: Gao Huanbing , Lu Shouyin , Tian Guohui , Tan Jindong
Published: February 2018

abstract

This paper presents the mechanical architecture, control system, and other modules of a physiotherapy service robot which can treat degenerative disease and chronic disease of middle-aged and aged people by Chinese massage skill. The main body of the robot includes a massage adjustable bed, two 4-DOF(Degree of Freedom) robot arms and two massage hands that can accomplish various massage manipulations. Physiological signal and massage pressure are detecting in real time in massage process to ensure a scientific and safe therapy. Vision system sends the recognized acupoint position to the master system to track the patient’s body, and the acupoint being massaged is displayed in real time by the 3D virtual model. The robot can execute ten massage manipulations, so that the traditional Chinese massage can have a robot instead. The effectiveness for degenerative lumbago in middle-aged and aged is demonstrated by laboratory examination and clinical trial.
Video-Based Vehicle Detection And Classification In Challenging Scenarios
Authors: Chen Yiling , Qin GuoFeng
Published: February 2018

abstract

In intelligent transportation system, research on vehicle detection and classification has high theory significance and application value. According to the traditional methods of vehicle detection which can’t be well applied in challenging scenario, this paper proposes a novel Bayesian fusion algorithm based on Gaussian mixture model. We extract the features of vehicle from images, including shape features, texture features, and the gradient direction histogram features after dimension reduction. In vehicle classification part, we adopt fuzzy support vector machine, and design a novel vehicle classifier based on nested one-vs-one algorithm. Finally, experimental tests show excellent results of our methods in both vehicle detection and classification.
Prediction And Analysis Of Urban Heat Island Effect In Dangshan By Remote Sensing
Authors: Fang Gang
Published: February 2018

Vegetation index (NDVI) was extracted from bi-temporal multispectral images based on the data obtained from Landsat ETM+on 14th, September, 2000, Landsat ETM+on 9th, September, 2004, Landsat ETM+on 15th, May, 2008 and Landsat-8 on 21st, May 2013 for Dangshan County in Anhui Province. Analysis and data extraction was carried out using the ENVI 5.0 software. Normalized values of thermal radiation brightness temperature and surface brightness temperature were inverted from the bi-temporal thermal infrared band images using the mono-window algorithm. Urban heat island effect in Dangshan County was divided into strong green island zone, green island zone, normal zone, heat island zone and strong heat island zone according based on arithmetic progression. Using regression analysis, quantitative relationship between NDVI and the heat island effect was determined. Results showed an acceleration in urbanization of Dangshan County over the years resulted in a gradual increase in the heat island effect from 2000 to 2013. In addition, area of the heat island and strong heat island increased was observed to increase rapidly, while the area of the green island and strong green island reduced by 46%. Also, using the Markov model, urban heat island effect in Dangshan County was predicted over the next 40 years. This model was feasible in predicting the urban heat island effect with small errors. Finally, it was determine that heat island effect was in negative correlation to the vegetation index (NDVI), and increasing green land appropriately would have a positive effect in alleviating the urban heat island effect
Electromagnetic Force Of High-Speed Solenoid Valve Based On Correlation Analysis
Authors: De Xu , Hong-Zi Fei , Peng Liu , Wei Zhou , Li-Yun Fan
Published: February 2018

High-speed solenoid valve (HSV) is the heart of electronic control fuel system for diesel engines, whose electromagnetic force (EF) determines the dynamic response speed of fuel system. The finite element model of HSV has been established and validated by experiment. Methods of experimental design and correlation analysis have been used for the simulation experiment. The effect laws of six key parameters’ interactions on EF under HSV’s overall operating conditions have been revealed from the results of the simulation. In addition, three key second-order factors’ interaction principles are explained. Results show that under overall operating conditions HSV’s EF is influenced not only by its parameters singly, but also parameters’ interactions
Sefp: A New Routing Approach Using Fuzzy Logic For Clustered Heterogeneous Wireless Sensor Networks
Authors: ALAMI Hassan EL , NAJID Abdellah
Published: February 2018

Wireless sensor networks (WSNs) are composed of set sensor nodes communicating through wireless channels with limited resources. Therefore, several routing protocols and approaches about energy efficient operation of WSNs have been proposed. Clustering algorithm based routing protocols are well used for efficient management of sensing sensor node energy resources. However, many researches were focused on optimization of well-known hierarchical routing approaches of WSNs using fuzzy logic system or heuristic methods. Most of these routing approaches haven’t considered the impact of heterogeneity of sensor nodes, in terms of their energy which is equipped with additional energy resources. In this paper, we propose stable election using three fuzzy parameters approach (SEFP) using fuzzy logic system for heterogeneous WSNs. The main purpose of this routing approach is to improve the network lifetime and particularly the stability period of the network. In the SEFP approach, the sensor node with the maximum chance value becomes a cluster head (CH) based in three fuzzy parameters such as residual energy of each sensor node, closeness to base station (BS), and sum of distances between particular sensor node and other sensor nodes (area distance). The Simulation results of heterogeneous WSNs shows that our approach using fuzzy logic system always preserves more energy as compared to well-known protocols such as LEACH and SEP. additionally, we found that our approach SEFP outperforms LEACH and SEP protocols in prolonging the lifetime and the stability period for heterogeneous WSNs
Universal Intelligent Sensor Interface
Authors: Bhattacharjee D. , Sharma G. , Bera R.
Published: February 2018

This paper deals with the design of the universal intelligent sensor interface. Incorporating UISI makes the system highly flexible because it gives the freedom of either attaching or detchaing various types of sensor. The front end of the UISI can be configured as per the connected sensor with the help of the TEDS information and the firmware. There are two 10pin connector provided for analog and digital sensors. There are various types of analog sensors. The digital sensor also uses various interfaces such as I2C, SPI and RS232. The detail about the type of sensor and interface it uses is stored in TEDS
Effects Of Low Frequency Weak Magnetic Field On The Cardiovascular System Through The Brain Cortex
Authors: Ren Yumiao , Zhang Jianbao
Published: February 2018

In order to study the effect of low frequency weak magnetic field on the cardiovascular system through the central nervous system, this paper design the experiment that is using a rotating magnetic field acts on the cerebral cortex, the different frequency when different parts of the brain, collecting and analysis ECG and blood pressure signal, and discussing the effect of low frequency rotating magnetic field on cardiovascular system through the brain cortex. It proved that a rotating magnetic field can affect blood pressure through cerebral cortex, has different effects on blood pressure by using different frequencies, the effects on blood pressure is not the same because a different position focused on by magnetic field. The results show the frequency and location stimulated with rotating magnetic field may have certain therapeutic effect for controlling hypertension.
Face Detection In Profile Views Using Fast Discrete Curvelet Transform (Fdct) And Support Vector Machine (Svm)
Authors: Muhammad Bashir , Abu-Bakar Syed Abd Rahman
Published: February 2018

Human face detection is an indispensable component in face processing applications, including automatic face recognition, security surveillance, facial expression recognition, and the like. This paper presents a profile face detection algorithm based on curvelet features, as curvelet transform offers good directional representation and can capture edge information in human face from different angles. First, a simple skin color segmentation scheme based on HSV (Hue - Saturation - Value) and YCgCr (luminance - green chrominance - red chrominance) color models is used to extract skin blocks. The segmentation scheme utilizes only the S and CgCr components, and is therefore luminance independent. Features extracted from three frequency bands from curvelet decomposition are used to detect face in each block. A support vector machine (SVM) classifier is trained for the classification task. In the performance test, the results showed that the proposed algorithm can detect profile faces in color images with good detection rate and low misdetection rate
Adaptive Intelligent Inverse Control Of Nonlinear Systems With Regard To Sensor Noise And Parameter Uncertainty (Magnetic Ball Levitation System Case Study)
Authors: Asad Yaghoub Pour , Shamsi Afshar , Ivani Hoda , Tavoosi Jafar
Published: February 2018

Type-2 Fuzzy Neural Networks have tremendous capability in identification and control of nonlinear, time-varying and uncertain systems. In this paper the procedure of designing inverse adaptive type-2 fuzzy neural controller for online control of nonlinear dynamical systems will be presented. At first the structure of a novel class of Interval Type-2 Nonlinear Takagi-Sugeno-Keng Fuzzy Neural Networks (IT2-NTSK-FNN) will be presented. There is a class of nonlinear function of inputs in the consequent part of fuzzy rules. This IT2-NTSK-FNN comprises seven layers and the fuzzification is done in two first layers including type-2 fuzzy neurons with uncertainties in the mean of Gaussian membership functions. Third layer is rule layer and model reduction occurs in fourth layer via adaptive nodes. Fifth, sixth and seventh layers are consequent layer, centroid rules’ calculation layer and output layer respectively. For training the network backpropagation (steepest descend) method with adaptive training rate is used. Finally, three methods including online adaptive inverse controller based on IT2-NTSK-FNN, IT2-TSK-FNN (linear consequent part) and Adaptive Neuro-Fuzzy Inference System (ANFIS) are employed to control of a magnetic ball levitation system. External disturbances and uncertainty in parameters are considered in the model of magnetic ball levitation system. Simulation results show the efficacy of the proposed method
A Study Of Cost And Emissions Considering Speed Optimization In Trans Eurasia Transportation Based On Intelligent Transportation
Authors: Dongmin Xu , Dingyi  , Youfang Huang , Bin Yang
Published: February 2018

People attach much importance to greenhouse gas emissions, and there is an increasing concern on cost and emissions on account of speed reduction for international shipping. Low steaming encountered these challenges of time constraint and technical requirements, while the cost and emissions of railway transportation distinctly differentiate from international shipping and it is a good substitute for international shipping to some extent. Intelligent transportation system (ITS) has proven to be a useful tool in providing efficient, environmentally friendly and safe transportation systems within inland and shipping. The paper focus on the selection and cooperative process between the shipping and railway, and discusses the cost and emissions by speed optimization for international shipping and railway transport aiming to select effective and environmental transportation mode based on ITS infrastructure. Firstly this paper reviews ITS and investigates the relationship of cost and speed along with the relationship of energy consumption and speed respectively for shipping and railway transportation, and then presents the speed optimization both shipping and railway transportation based on ITS so as to minimize cost and emissions. Subsequently it compared and analyzed the cost and emissions for mode selections, and it found that it is more effective and environmental to employ railway transport to some route leg. Finally A numerical case is presented and the results showed that it is necessary to shift model from sea to land on some section