bluuebunny/crossref_metadata_2025_split 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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.