bluuebunny/crossref_metadata_2025 huggingface dataset:
Fpga Modelling and Real-Time Embedded Control Design Via Labview Software: Application for Swinging-Up a Pendulum
Authors: Benrejeb Wael , Boubaker Olfa
Published: November 2017

In this paper, Real-Time embedded control is designed via LabVIEW software for swinging-up a pendulum from its pending position to its upright position. Since the pendulum system has a typical nonlinear instable model, the control problem is achieved using the Astrom-Furuta energy control strategy. To overcome the complexities for the design and the real-Time implementation of the controller of the nonlinear system, FPGA and Real-Time Modules of LabVIEW software are used. A validation test is finally achieved using Proteus software via its Virtual Simulation Models (VSM). Simulation results show the capabilities of LabVIEW FPGA and Real-Time modules to customize control applications with flexible time control without VHDL coding or board design.
Effect of Ceo2 Doping on the Structure, Electrical Conductivity and Ethanol Gas Sensing Properties of Nanocrystalline Zno Sensors
Authors: El-Sayed A. M. , Ismail F. M. , Khder M. H. , Hassouna M. E. M. , Yakout S. M.
Published: November 2017

Nanocrystalline sensors having the general formula ZnO + x wt% CeO2, where x = 0, 2, 4 and 6 were prepared by chemical precipitation method and sintered at 400, 600 and 800 °c for 2h in static air atmosphere. The crystal structure and the morphology of the prepared samples were investigated and characterized by using XRD, IR, SEM and TEM techniques. The investigation revealed that the average crystallites size increases with increasing the sintering temperature. The electrical conductivity is found to increase with CeO2 additions and sintering temperature. Gas sensing properties of the prepared samples were also investigated. The effect of CeO2 content and sintering temperature on the structure, electrical conductivity and ethanol gas sensing properties of the prepared samples are discussed.
Synthesis of Nanostructured ZrO2 for Gas Sensing Application
Authors: Patil Pratap G. , Kajale D. D. , Patil V. P. , Patil G. E. , Jain G. H.
Published: November 2017

Nanocrystalline ZrO2 (Zirconia) has been synthesized by a conventional precipitation method. The structural, morphological, microstructural, optical and gas-sensing properties of ZrO2 were investigated by using X-ray diffraction analysis (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), UV-vis spectroscopy and static gas sensing unit, respectively. X-ray diffraction pattern and TEM of the synthesized product reveal their nano-crystalline nature with grain size 18 nm and 20 nm, respectively. Gas sensing properties of their thick films, which were fabricated by screen-printing to various gases (O2, NO2, C2H5OH, CO, CO2, NH3, LPG, H2S and H2) were tested in ambient air. The ZrO2 thick films showed a high response and selectivity to H2S gas. The effect of operating temperature, gas concentration on the sensing characteristics of these films towards H2S was discussed..
An Appropriate Procedure for Detection of Journal-Bearing Fault using Power Spectral Density, K-Nearest Neighbor and Support Vector Machine
Authors: Moosavian A. , Ahmadi H. , Tabatabaeefar A. , Sakhaei B.
Published: November 2017

Journal-bearings play a significant role in industrial applications and the necessity of condition monitoring with nondestructive tests is increasing. This paper deals a proper fault detection technique based on power spectral density (PSD) of vibration signals in combination with K-Nearest Neighbor and Support Vector Machine (SVM). The frequency domain vibration signals of an internal combustion engine with three journal-bearing conditions were gained, corresponding to, (i) normal, (ii) corrosion and (iii) excessive wear. The features of the PSD values of vibration signals were extracted using statistical and vibration parameters. The extracted features were used as inputs to the KNN and SVM for three-class identification. The roles of PSD technique and the KNN and SVM classifiers were investigated. Results showed that the accuracy rate of fault diagnosis was 100%. Also, the results demonstrated that the combined PSD-SVM model had the potential for fault diagnosis of engine journal-bearing.
Comparative Study of Maximum Power Point Tracking using Linear Kalman Filter & Unscented Kalman Filter for Solar Photovoltaic Array on Field Programmable Gate Array
Authors: Ramchandani Varun , Pamarthi Kranthi , Chowdhury Shubhajit Roy
Published: November 2017

The paper proposes comparative study of Field Programmable Gate Array implementation of 2 closely related approaches to track maximum power point of a solar photovoltaic array. The current work uses 2 versions of kalman filter viz. linear kalman filter and unscented kalman filter to track maximum power point. Using either of these approach the maximum power point tracking (MPPT) becomes much faster than using the conventional Perturb & Observe approach specifically in case of sudden weather changes. In this paper comparative analysis of both the algorithms being implemented on FPGA is presented. Experiments have been performed under optimal conditions as well as under cloudy conditions i.e. falling irradiance levels. Using the linear kalman filter the maximum power point of a solar PV array has been tracked with an efficiency of 97.11% while using the unscented kalman filter technique the maximum power point of the same solar PV array is tracked with higher efficiency of 98.3%. However, the maximum power point has been tracked at a much faster rate i.e. 4.5 ms using the linear kalman filter approach as compared to the unscented kalman filter approach which tracks maximum power point at 11 ms which is in turn faster than existing generic Perturb and Observe approach which takes 15ms to track the maximum power point. The system has been implemented on Altera EP2C20F484C7 FPGA board.
Visual Attention Model with Adaptive Weighting of Conspicuity Maps for Building Detection in Satellite Images
Authors: Cretu A. M. , Payeur P.
Published: November 2017

The lack of automation and the limited performance of current image processing techniques pose critical challenges to the efficient and timely use of the large amount of data made available by aerial and space based assets. The imitation of fast adaptation and inference capability of human visual system appears to be a promising research direction for the development of computational algorithms able to deal with large variations in image content, characteristics and scale as those encountered in satellite imaging. The paper explores the potential use of an improved computational model of visual attention for the complex task of building identification in satellite images. It contributes to extend the envelope of application areas of such models and also to expand their current use from single object to multiple object detection. A set of original weighting schemes based on the contribution of different features to the identification of building and non-building areas is first proposed and evaluated against existing solutions in the literature. A novel adaptive algorithm then chooses the best weighting scheme based on a similarity error to ensure the best performance of the attention model in a given context. Finally, a neural network is trained to predict the set of weights provided by the best weighting scheme for the context of the image in which buildings are to be detected. The solution provides encouraging results on a set of 50 satellite images.
A Review on Applications of Optical Tomography in Industrial Process
Authors: Khairi M. T. M. , Ibrahim S. , Yunus M. A. M. , Faramarzi M.
Published: November 2017

This paper reviews some of the recent applications of optical tomography as a measurement tool for process parameters measurement such as flow concentration profiles, velocity profiles, and mass flow rate. The attentions that have been received by the optical tomography system for the applications of industrial parameters measurement are mainly because of the radiation safe emission of light sources to human or environment, fast response time, non-intrusive technique, and established models of light propagation through media or medium of interest thus making the solutions of forward and inverse problems to be relatively simpler to accomplish. The reports of the experimental result in this paper are mainly based on the previous works done by researchers in the area of optical tomography application where the main aspects are discussed. As a whole, the optical tomography can be applied to measure the velocity of beads in flow rig, measuring bubbles flow, flame imaging for combustion rate estimation, and flow concentration profile. Most of the applications as mentioned are discussed in this paper. In the final parts of this paper, independent component analysis (ICA) is suggested to measure the turbidity of liquid with the air-bubble flow in a vertical pipe column.
Lightweight Trusted ID-Based Signcryption Scheme for Wireless Sensor Networks
Authors: Li Zhimin , Xu Xin , Fan Zexiang
Published: November 2017

Wireless sensor networks (WSN) are usually deployed in hostile environments, which having a wide variety of malicious attacks. As various applications of WSN have been proposed, security has become one of the big research challenges dan is receiving increasing attention. In order to insure the security of communication in wireless sensor networks, we proposed a new ID-based signcryption scheme using bilinear pairing. Under the computational Diffie-Hellman assumption, the security of the scheme is proved under the Random Oracle Model. This scheme can be used by the sensor nodes that with low power, less storage space and low computation ability. It is concluded that the proposed lightweight scheme satisfies the security requirements of WSN.
Analysis of Land use Change Characteristics Based on Remote Sensing and Gis in the Jiuxiang River Watershed
Authors: Hu He-Bing , Liu Hong-Yu , Hao Jing-Feng , An Jing
Published: November 2017

Based on remote sensing and GIS technology, the remote sensing images from 2003 to 2009 were used to the basic data sources, to analyze the characteristics of land-use change in Jiuxiang River watershed. Results showed that watershed land use structure were changed greatly from 2003 to 2009; the proportion of arable land decreased from 34.86% to 19.52%, whereas other types of land use increased. The area of construction land increased most rapidly, from 17.80% to 25.80%.Spatial differentiations of land use changes were very obvious in Jiuxiang River watershed. The arable land was mainly converted to forestland and grassland in upstream region, and was mainly converted to construction land and forestland in midstream region. However, in downstream region, this type of land use was mainly converted to construction land. High farmland conversion rate in current period was contributed to rapid urbanization in Jiuxiang River watershed. Therefore, some measures must be initiated to achieve land resources sustainable use.
A Smart Current and Voltage Acquisition System with High Accuracy for Ev Applications
Authors: Haifeng Dai , Xiaolong Zhang
Published: November 2017

Energy management is one of the most important tasks of the electric vehicles (EV) and is totally different with the management in the traditional internal combustion vehicles (ICV). To implement a pleasing management, the system should know the working current and terminal voltage of the traction battery systems very accurately. This paper presents a design of a smart current and voltage acquisition system with high accuracy for EV applications. The detailed structure and components, the simulation and error analysis of the system are introduced. And to enhance the accuracy, a smart error correction is designed as well. Several tests are applied to evaluate the proposed system, and testing results indicate a good performance of the system, the maximum current error is less than 0.05A and the maximum voltage error is less than 0.02V.
A Model for Fuzzy Data Correalation of AIS and Radar
Authors: Chang Liu , Ming-zhi Cao , Feng Han , Gui-ming Shi , Ren-jie Liu
Published: November 2017

With the development of Automatic Identification System (AIS), more and more vessels are equipped with AIS device, which is a new tool for vessel monitoring and marine safety. In this paper, we compared the function of AIS and radar, the traditional tool for Vessel Traffic Service (VTS). And then we discussed the necessity of data fusion of the same target from the two sensors of AIS and radar. According to the characteristic and the difference of tracking performance of AIS and radar we proposed a fuzzy correlation method for target tracking and data fusion. The experiment shows that the proposed method is correct and efficient and it can improve the performance and the stability of VTS.
Home Real-Time Remote Monitoring System Based on Embedded Linux
Authors: Feijiang Huang , Zhaofeng Li , Xiaochun Lu , Guangcan Liu , Liping Sun , Yingde Wang , Weibing Chen , Xinle Xiao
Published: November 2017

Remote video monitoring is an important way of residential security. Due to some deficiencies of traditional home monitoring system such as high cost, large power consumption and difficult maintenance, this paper designs an economical and practical home real-time remote monitoring system. This system includes hardware design and software design. The hardware analyzes and compares the processor of different architectures to configure the model of microprocessors and the composition of peripheral circuits, and then identifies the S3C2440 chip as the system’s main controller. For the software part, this paper first studies the construction of embedded Linux system containing bootstrapper, kernel compile, files preparation system and transplantation; then it focuses on a detailed analysis of video capture module under Linux to present the main process of video capture under Linux when the USB camera is selected and design the video capture program based on the Video4Linux2 Linux programming interface; finally, it designs the B/S architecture-based video sending program for the video output module and achieves the real-time browse on a PC through a browser, thereby realizing the remote monitoring for residence. This system relies on the mature embedded technology and achieves the embedded Linux-based real-time remote monitoring system on the Mini2440 development board in accordance with the above design. Compared with the traditional monitoring system, this design has a lower cost and higher cost performance, so it is more practical for the home security.
Ballast Flying Mechanism and Sensitivity Factors Analysis
Authors: Jing G.Q , Zhou Y.D , Lin Jian , Zhang J.
Published: November 2017

Ballast flying problems obsess the ballasted high speed railway, its microscopic mechanics is less of discovered. In the paper, the railway ballast particle force equilibrium is analyzed through basic mechanics and mathematic formula, and a model is set up to discover the factors and influence. The microscopic ballast flying model is used for ballast bed geometry and ballast shape optimization, and guide the ballast flying countering methods. Results show that ballast flying particle is correlated with ballast shape and mass, especially the ballast shape mass ratio corresponds to operation speed. Ballast interlock ability governs the ballast flying possibility and severity. Ballast flying possibility increases with ballast bed acceleration. The paper focus on ballast particle force equilibration, shape and mass, under the condition of vibration and wind effects, the ballast flying mechanism is analyzed and discussed with related counteracting methods presented.
On-Board Lane Detection System for Intelligent Vehicle Based on Monocular Vision
Authors: Miao Xiaodong , Li Shunming , Shen Huan
Published: November 2017

The objective of this research is to develop a monocular vision system that can locate the positions of the road lane in real time. First, Canny approach is used to obtain edge map from the road image acquired from monocular camera mount on vehicle; Second, a matching process is conducted to normalize the candidates of road line; Third, a searching method is used for reinforce potential road lines while degraded those impossible ones; Forth, a linking condition is used to further enhance the confidence of the potential lane lines, and a K-means cluster algorithm is employed to localize the lane lines; Finally, a on board system is designed for experiment. The proposed system is shown to work well under various conditions on the roadway. Besides, the computation cost is inexpensive and the system’s response is almost real time.
Driving Resistance Factor Calculating Method for Parallel-Serial HEV
Authors: Guo Hailong , Li Lifu
Published: November 2017

HEV’s energy control strategy cannot be regulated perfectly according to the variable working condition, because the driving resistance is difficult to measure and calculate during the driving process. By taking parallel-serial HEV which power coupling mechanism is planet-gear as research object, analyzed planet-gear power coupling mechanism’s dynamics characteristic and efficiency characteristic, put forward driving resistance factor’s concept and measure-calculating methods. The factor can be used to evaluate HEV’s driving resistance under different load and road gradient condition. The experiment results show that the maximum relative error of driving resistance factor’s average value between theory calculating and experiment testing is 6.36%, which is found in the large driving resistance working condition that the vehicle load is 305 kg, the road gradient is 5.2495°.
Industrial Robot Calibration Using a Virtual Linear Constraint
Authors: Du Biqiang , Xi Ning , Nieves Erick
Published: November 2017

This paper proposes a systematic method to identify the joint zero offset of industrial robot. Small offset always exist in robot joint, which affect the precision in kinematic equations leading to calculate wrong joint angle values. To solve these problems, the proposed method employs a portable dual Position Sensitive Detector (PSD) device and a focusable laser point (FLP). The portable dual PSD device comprises two fixed PSDs tilted in an angle to reflect the laser line from one PSD to another. The FLP, attached to the robot end-effector, aims at both centers of the two PSDs at the same time, effectively creating a virtual linear constraint for the robot end-effector. As a result, small variations in position and orientation of the end-effector are magnified on the laser spot’s location at the PSD’s surface. Hence, the resolution of measuring the position and orientation of the end-effector is improved due to the high precision feedback of the PSD, increasing the accuracy of joint angle measurements that are required to calibrate the robot. From the easily measured joint angle readings, and an identification model, the joint zero offset of industrial robot is calibrated. The effectiveness and accuracy of the method are verified using both simulations and real experiments on an IRB120 robot.
Development of an Adjustable Gripper for Robotic Picking and Placing Operation
Authors: Che Soh A. , Ahmad S.A. , Ishak A.J. , Abdul Latif K. N.
Published: November 2017

Adjustable gripper for robotic system that is capable in identifying shape and size of an object is needed in many applications especially for picking and placing operation. This is due to some of the grippers’ design are limited only to one specific shape or size that make picking and placing operation difficult. To hold different size or shape, the user needs to replace gripper which are more time consuming and more expensive. To address this problem, an adjustable gripper for robotic system has been proposed for picking and placing operation. The main objective is to design a robust gripper that can perform easier and faster picking and placing operation for multiple shapes and sizes objects. This adjustable gripper for robotic system can to improve the picking and placing operation in manufacturing field in producing more outputs without the needs to.
Object Handling Precision Using Mouse-like Haptic Display Generating Tactile and Force Sensation
Authors: Tsuboi Satoshi , Ohka Masahiro , Yussof Hanafiah , Ahmad Makhtar Khushairy , Basir Siti Nora
Published: November 2017

This paper presents development of new haptic display capable of stimulating the muscles and tendons of the forearms as well as the tactile receptors in the fingers as a new approach for virtual reality device. Investigation of simultaneous presentation of both tactile and force effects are conducted and presented in this paper. The haptic display consists of a tactile display with a 4-by-12 array of stimulus pins driven by micro-actuators and an articulated manipulator. The display’s handle was constructed replicating a conventional PC mouse so that anyone could comfortably use it without special training or operation knowledge. Vertical movement of the virtual tactile pad in the virtual world is controlled in proportion to the compressive force applied on the display pad. This makes it possible to reduce the operator’s energy consumption during manipulation in 3D-space. Operators can now work in 3D-space in spite of their manipulations actually being done in 2.5D-space. Evaluation experiments were performed using the display, in both force-only mode and combined-mode (force + tactile) to verify its presentation capability. In the experiments, subjects tried to assemble virtual blocks in a line. Experimental results shows that the display combining tactile and force sensations provide higher accuracy in a precise virtual assembly task compared to the force-only display because the proposed display provides relative motion between the hands and the blocks.
Auto-Adaptive Control of a One-Joint Arm Direct Driven by Antagonistic Shape Memory Alloy
Authors: Selvarani Ruth D Josephine , Nakshatharan S Sunjai , Dhanalakshmi K
Published: November 2017

This paper pursues a promising approach to obtain strain feedback based angular motion control of a manipulator for any robotic application. The proposed single degree of freedom manipulator uses antagonistic shape memory alloy (SMA) actuated wires. Antagonistic SMA actuated structures employ opposing pairs of one-way SMA actuators to create systems capable of a fully reversible response. A self-tuning PID type fuzzy (auto adaptive) based control scheme is designed and implemented experimentally. The controller is designed based on the model estimated by using system identification technique. Experimental and simulation results show that antagonistic SMA actuator in combination with the controller can track any input trajectory signal with high accuracy motion control and is suitable for various control applications.
Analysis and Experimental Study of Optimal Soil Moisture Sensor Probe Length
Authors: Yandong Zhao , Mingjun Nie
Published: November 2017

two parallel needle moisture sensors has been widely used in Soil moisture detection equipment, for example, frequency domain (FD), time domain reflectometry (TDR) and standing wave ratio (SWR) measurement. The design of probe’s port impedance is key technology parameters to soil moisture sensor. In this study, according to the relationships between the length and impedance characteristics of terminal open and closed state probe were presented based on two-pin probe structure of parallel resistance model. The best probe structure was simulated by high frequency structure simulator software HFSS, which based on Maxwell’s equations and finite element method. According to experiment of soil water content by organic solution, the theoretical analysis of the best structure of probe was further validated.
BI-Filtered Forwarding: A Quasi-Optimal Routing Algorithm for Query Delivery in Wireless Sensor Networks
Authors: Zhang Junhu , Zhu Xiujuan , Peng Hui
Published: November 2017

A quasi-optimal query propagation algorithm Bi-Filtered Forwarding (BFF) for quickly routing a query throughout a wireless sensor network is proposed in this paper. BFF is implemented in a limited flooding manner for guaranteeing quick query propagation and low message consumption in wireless sensor networks. The experimental results show that in comparison with the flooding algorithm, BFF can greatly reduce the redundant message consumption during the procedure of real time query propagation throughout a wireless sensor network.
An Estimation Algorithm for Missing Data in Wireless Sensor Networks
Authors: Yan Nan , Zhou Ming-zheng , Tong Li
Published: November 2017

For estimating the missing data of wireless sensor networks, an estimation algorithm called HD method, which can make use of sensoring space-time correlation of the data, was proposed based on mathematical Hermite and DESM statistical models. The algorithm not only can adaptively adjust the time and space weights, but also can accurately estimate the missing or unavailable data. The experimental results show that the algorithm has good stability and relatively high estimation accuracy.
Duty Cycling in Target Monitoring Wireless Sensor Network Systems
Authors: Guo Ying , Hong Feng , Guo Zhongwen
Published: November 2017

Duty cycling is an important method for energy constrained sensor network systems to prolong lifetime. Current research on duty cycling is mainly based on such assumption that all the sensory coverage should be maintained while some nodes are sleeping. However, for the applications of target monitoring, it is not necessary anymore to keep the whole sensory coverage of the sensor network. It only needs to make sure that such kinds of nodes are active which can perceive the activities of the monitored targets. This paper proposes a novel duty cycling design for target monitoring sensor networks, which includes two algorithms - sleep scheduling algorithm and gradient query algorithm based on sleep periods. In the proposed design, most of sensor nodes are sleeping, while still keep the functions of target monitoring and information query in the sensor networks. The performance of our design has been evaluated through both theoretical analysis and simulations, which prove the functionality of the proposed design on the reduction of energy consumption.
The Effects of MOS Layers on Sensing Properties of MOS Photosensor
Authors: Mohammed Wagah F. , Ali Mohammed M. , Al-Tikriti Munther N. , Kaleel Kalid
Published: November 2017

In this research work, many samples of metal –oxide –silicon photosensors were laboratory prepared by thermal evaporation techniques. Some silicon samples were left in the air for a predefined time for SiO2 to grow naturally, while others were thermally coated with measured thickness of SiO. A number of the samples were coated with nickel while others with aluminum and one sample was coated with indium. Various tests and measurements were conducted; these include transmittance tests with a range of wavelength and for different thicknesses. The ideality factors of the samples and the potential barrier height were calculated from I-V and C-V characteristics. The photogenerated current of the samples were also measured at photoconductive mode under reverse voltage. Quantum efficiency measurement indicated that native oxide samples provided higher quantum efficiency than those thermally deposited samples. Detectivity measurement showed that thermally deposited oxide samples had low detectivity as compared to native oxide samples
Fall Detection and Prevention for the Elderly: A Review of Trends and Challenges
Authors: El-Bendary Nashwa , Tan Qing , Pivot Frédérique C. , Lam Anthony
Published: November 2017

It is of little surprise that falling is often accepted as a natural part of the aging process. In fact, it is the impact rather than the occurrence of falls in the elderly, which is of most concern. Aging people are typically frailer, more unsteady, and have slower reactions, thus are more likely to fall and be injured than younger individuals. Typically, research and industry presented various practical solutions for assisting the elderly and their caregivers against falls via detecting falls and triggering notification alarms calling for help as soon as falls occur in order to diminish fall consequences. Furthermore, fall likelihood prediction systems have been emerged lately based on the manipulation of the medical and behavioral history of elderly patients in order to predict the possibility of falls occurrence. Accordingly, response from caregivers may be triggered prior to most fall occurrences and accordingly prevent falls from taking place. This paper presents an extensive review for the state-of-the- art trends and technologies of fall detection and prevention systems assisting the elderly people and their caregivers. Furthermore, this paper discusses the main challenges, facing elderly fall prevention, along with suggestions for future research directions.
Development of a Cardan Mechanism for the Asteroid Lander
Authors: Zhao Zhijun , Zhao Jingdong , Liu Hong , Zhang Zhi
Published: November 2017

It is of great significance for improving the landing stability and adjusting the attitude of equipment base by designing a cardan mechanism in the asteroid lander. In the paper, a cardan mechanism having cushion and attitude adjusting functions is designed for the asteroid lander. The cardan mechanism contains electromagnetic damping, belt transmission and cross-shaft, and it has merits of adjustable damping and bearing large overload. The attitude control system of the cardan mechanism is built by FPGA chip. Kinematics and kinetics of the cardan mechanism are analyzed for attitude control. Complex feedback PD controller is applied to control the attitude of the cardan mechanism as large mass equipment base would influence control performance. This controller contains real time gravity compensation, desired acceleration compensation and velocity feed forward compensation. The experiments show that the cardan mechanism designed in this paper has good performance by adopting Complex feedback PD controller.
Detection and classification of the behavior of people in an intelligent building by camera
Authors: Ahmed Henni Sid , Faouzi Belbachir Mohamed , Caelen Jean
Published: November 2017

an intelligent building is an environment that contains a number of sensor and camera, which aims to provide information that give the various actions taken by individuals, and their status to be processed by a system of detection and classification of behaviors . This system of detection and classification uses this information as input to provide maximum comfort to people who are in this building with optimal energy consumption, for example if I workout in the room then the system will lower the heating . My goal is to develop a robust and reliable system which is composed of two fixed cameras in every room of intelligent building which are connected to a computer for acquisition of video sequences, with a program using these video sequences as inputs, we use RGB color histograms and textures for LBP represented different images of video sequences, and SVM (support vector machine) Lights as a programming tool for the detection and classification of the behavior of people in this intelligent building in order to give maximum comfort with optimized energy consumption. The classification is performed using the classification of k 1 and k = 11 in our case, we built 11 models in the learning phase using different nucleus in order to choose the best models that give the highest classification rate and finally for, the classification phase, to classify the behavior, we compare it to the 11 behaviors, that is to say, we make 11 classification and take the behavior that has the highest classification rate. This work has been carried out within the University Joseph Fourier in Grenoble precisely LIG (Grenoble computer lab) in the team MULTI COM and the University of Oran Algeria USTO.

Our contribution in this field is the design and implementation of a robust, and accurate system that make detection and classification of 11 behaviors cameras in an intelligent building, varying illumination it means, whatever lighting is our system must be capable of detecting and classifying behaviors.
Error Analysis and Compensation Method of 6-axis Industrial Robot
Authors: Zhang Jianhao , Cai Jinda
Published: November 2017

A method of compensation is proposed based on the error model with the robot’s parameters of kinematic structure and the joint angle. Using the robot kinematics equation depending on D-H algorithm, a kinematic error model is deduced relative to the end actuator of the robot, a comprehensive compensation method of kinematic parameters’ error by mapping structural parameters to the joint angular parameter is proposed. In order to solve the angular error problem in the compensation process of each joint, designs a set of robot’s kinematic parameter compensation experiment based on the joint angle’s correction. The experimental results verify the effectiveness of the presented method. Besides, puts forward that the main factor of the dynamic error is the deformation of the connecting rods. Software compensation way is analyzed in the paper.
PM Enhanced Sensing of Internal EMF Variation-A Tool to Study PMBLDC/AC Motors
Authors: Srivastava R K , Singh S K , Dwivedi Ankita , Gollapudi Srikanth
Published: November 2017

The search for replacement of commutator and brushes in conventional DC motors by electronic commutator has resulted in a class of Permanent Magnet Brush Less (PMBL) motors. The operation of PMBL motor requires synchronization of coil currents with the instantaneous rotor position. The applied voltages of higher magnitudes must have same zero crossings as that of speed induced back EMF of the respective stator windings. The complexity of rotor position detection in PMBL motor is overcome by obtaining a replica of stator induced EMF using additional auxiliary stator and rotor. The auxiliary stator winding induced EMF is amplified using Power Operational Amplifier (P-OPAMP) and the output is connected to the main stator winding. The proposed scheme has been tested at laboratory scale and has been found to be a promising alternative scheme for operation of PMBLDC/AC motors.
Investigation of VHI Affected by the Density of Mechanoreceptive units for Virtual Sensation
Authors: Rajaei N. , Ohka M. , Miyaoka T. , Yussof Hanafiah , Makhtar Ahmad Khushairy , Basir Siti Nora
Published: November 2017

The velvet hand illusion (VHI) is an innovative tactile illusion that enables a human to perceive a velvety sensation by gently rubbing the hands on both sides of wire mesh string through a frame. In order to enhance tactile displays presentation ability, VHI’s mechanism is applied through a series of psychophysical experiments. In this paper, we have investigated the effects of several physical parameters on intensity variation of VHI in subjects’ fingers and fingertips, such as wire distance D and a dimensionless ratio of wire stroke r to wire distance r/D in passive touch based on psychophysical experiment. We obtain D = 45 mm and r/D ≈ 1 as optimum values for VHI intensity for wire distance and the ratio, respectively. Furthermore, as the result of comparison between the present result and the previous result for palm, we conclude that a combination of mechanoreceptive afferent units, SAI, SAII and FAI, are involved in VHI. VHI mechanism is induced when movement of wires is accepted through FAI under constant compressive stimulus for SAI and no shearing force for SAII. This result indicates that VHI can be generated by normal pin matrix type tactile displays because no stimulation of SAII is required.
Optimal Sink Node Allocation for Balancing Communication Load in a Wireless Sensor Network
Authors: Noto Masato , Yoneda Seiji
Published: November 2017

Wireless sensor networks are attracting attention as network technology that is essential to the expansion of the ICT society. One of the challenges facing the implementation of wireless sensor networks is the problem of load concentrations at local sensor nodes. Sink node allocation methods have recently been proposed to resolve this problem, but they do not solve the problem of the dramatic deterioration in operating times caused by an increase in the sensor nodes. This paper proposes a drivecontrol type of sink node allocation method to distribute the load on sensor nodes. By using an improved sequential activation method and the artificial bee colony algorithm, which is a type of swarm intelligence algorithm, we assign sensor nodes that should be driven on the network and perform appropriate control of their communications radii. The results of evaluation experiments done by computer simulation have confirmed that the proposed method provides sink node allocation candidates within a large-scale sensor network environment that can implement greater power saving performances and extended operating times in comparison with conventional methods.
Prediction of PCCP Failure Based on Hydrophne Detecting
Authors: Zhang Yuan , Li Yibo
Published: November 2017

Prestressed Concrete Cylinder Pipe (PCCP) is a widely used water pipe all over the world. A major cause of PCCP failure is the internal wire break, which will emit acoustic signal. In this paper, a hydrophone-based PCCP real-time monitoring and failure-prediction system was proposed. By applying wavelet energy normalization analysis to signal feature extraction and Support Vector Machine (SVM) to signal recognition, a high prediction accuracy of 98.33% was achieved. The result showed that the hydrophone-based PCCP failure prediction system is much more effective and economic in real application compared with electromagnetic method and acoustic fiber optical.
An Investigation of Decision Analytic Methodologies for Stress Identification
Authors: Deng Yong , Chu Chao-Hsien , Si Huayou , Zhang Qixun , Wu Zhonghai
Published: November 2017

In modern society, more and more people are suffering from some type of stress. Monitoring and timely detecting of stress level will be very valuable for the person to take counter measures. In this paper, we investigate the use of decision analytics methodologies to detect stress. We present a new feature selection method based on the principal component analysis (PCA), compare three feature selection methods, and evaluate five information fusion methods for stress detection. A driving stress data set created by the MIT Media lab is used to evaluate the relative performance of these methods. Our study show that the PCA can not only reduce the needed number of features from 22 to five, but also the number of sensors used from five to two and it only uses one type of sensor, thus increasing the application usability. The selected features can be used to quickly detect stress level with good accuracy (78.94%), if support vector machine fusion method is used.
A Riding Fuzzy Control System for A Mountain Agricultural Robot
Authors: Wang Yuanjie , Yang Fuzeng , Zhou Yu , Pan Guanting , He Jinyi , Lan Yubin
Published: November 2017

A fuzzy control system was designed to command driving directions for a mountain agriculture robot. First, a fuzzy control system program was developed based on the scheme of the robot driving control system. Then, the core part of the system--the fuzzy controller--was designed. Finally, a system model was created and a simulation test was conducted through the application of the Fuzzy Toolbox in MATLAB and SIMULINK. The results showed that the system is effective.
Ranking of Sensitive Positions using Statistical and Correlational Analysis
Authors: Verma Nishchal K. , Sevakula Rahul K. , Dixit Sonal , Salour Al
Published: November 2017

Condition Based Monitoring of a machine refers to the checking of various parameters and signatures of the machine and then predicting the machine’s current health status. The slight changes in the machine operating condition are carefully analyzed to know if the machine is having any fault. For monitoring the changes, we acquire acoustic data i.e. generated while machine is running. In order to collect acoustic data, a number of sensors are placed near various positions of the machine surface. Acquiring data from large number of sensor positions is not economically viable. It would always be preferable to have a monitoring system that acquires data quickly and efficiently, without compromising on the robustness of the system. Therefore there is a need to locate some special positions on the machine, termed as “sensitive positions”, which are expected to exhibit the fault characteristics in a much better way than others. This paper presents a novel method for ranking sensitive positions for a machine based on statistical parameters analysis. While the final list of required number of sensitive positions is generated, the cross-correlation amongst the positions is also taken into consideration to avoid redundancy. Furthermore, a standalone application for implementing the same has been developed on Android platform. The proposed scheme and application can be used for variety of other applications that work on similar principle of acquiring data from multiple sensors.
Smartphone Application for Fault Recognition
Authors: Verma Nishchal K. , Sevakula Rahul K. , Gupta Jayesh K. , Singh Sumanik , Dixit Sonal , Salour Al
Published: November 2017

Smart-phones have become an essential tool for many in daily life. Smart-phone Application development has grown rapidly to fulfill the demands of increasingly diverse usage. This paper presents an application based on a fault recognition model that can be used for recognizing different acoustic patterns. The application is made to detect various faulty conditions of an industrial air compressor based on the sound generated by the machine. The application has been tested in real time and is found to perform very well with classification accuracies above 94.75%. We propose that similar applications and recognition models with some modified specifications could be used for acoustic pattern recognition in a wide range of areas.
Electrocardiogram for Biometrics by using Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ): Integrating Feature Extraction and Classification
Authors: Imah Elly Matul , Jatmiko Wisnu , Basaruddin T.
Published: November 2017

Electrocardiogram (ECG) signal for human identity recognition is a new area on biometrics research. The ECG is a vital signal of human body, unique, robustness to attack, universality and permanence, difference to others traditional biometrics technic. This study also proposes Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ), that integrating feature extraction and classification method. The experiments shown that AMGLVQ can improve the accuracy of classification better than SVM or back-propagation NN and also able to handle some problems of heartbeat classification: imbalanced data set, inconsistency between feature extraction and classification and detecting unknown data on testing phase.
Applying Merging Convetional Marker and Backpropagation Neural Network in QR Code Augmented Reality Tracking
Authors: Agusta Gia M. , Hulliyah Khodijah , Arini  , Bahaweres Rizal Broer
Published: November 2017

Usability of QR Code in Augmented Reality system has been used for digital content accessible publicly. However, QR Code in AR system still has imprecision tracking. In this article we propose merging QR Code within conventional marker and backpropagation neural network (BPNN) algorithm to recognizing QR Code Finder Pattern. The method which our chosen to approaching conventional marker. The result of BPNN testing, QRFP detected in perspective distortion with ID-encoded character length 78, 53 and 32. The result has accuracy of 6DOF ±10.65° pitching, ±15.03° yawing and ±408.07 surging, marker stability has 97.625% and computation time runs at 35.41 fps.
Capacity Enhancement of Messages Concealment in Image and Audio Steganography
Authors: Jasril  , Marzuki Ismail , Rahmat Faisal
Published: November 2017

Basically, a steganography indicates two of the principal requirements such the messages and the carrier file. Besides, it should have three aspects: capacity, imperceptibility, and robustness. This paper will show how to enhance the capacity of two types of carrier files for embedding message. By using Least Significant Bit method and modifying the four last bits of carrier files, bitmap and wav files could show the increasing of message size to be inserted to the carrier than only modifying the last 1 bit of carrier files. Particularly bitmap file which still had good quality visual showed PSNR value in 31.5460 dB, but wav file was only 3.8929 dB.
Real Time Steam Temperature Regulation using Self-Tuning Fuzzy PID Controller on Hydrodiffusion Essential Oil Extraction System
Authors: Yusoff Zakiah Mohd , Muhammad Zuraida , Hezri Mohd , Rahiman Fazalul , Taib Mohd Nasir
Published: November 2017

The essential oil is mostly depends on the temperature. The temperature will influence the final product of the extraction process. The existing steam distillation processes are giving less intention on this issue. This work implemented the robust self-tuning fuzzy PID (STFPID) controller to monitor the steam temperature in the hydro-diffusion essential oil extraction system. The hydrodiffusion system is built to overcome some weakness of existing systems. The effectiveness of the STFPID using 25 rules and PID controller is measured by using performance indices of settling time, rise time, percentage overshoot (%OS) and root mean square error. The step responses analysis and robustness test show that STFPID and PID controller are able to drive the steam temperature to the desired set point However, the analysis shows that STFPID produces better performances based on set point tracking and adoption of load disturbance.
Mobility of IP based Wireless Sensor Nodes in Sensor-Grid infrastructure
Authors: Bhunia Suman Sankar , Roy Sarbani , Mukherjee Nandini
Published: November 2017

As the world is moving towards the “Internet of Things” [1], Internet Protocol enabled wireless sensor network is becoming an important research area. In order to make it possible and to facilitate transmission of IPv6 packets over low powered networks, 6Lowpan [2,3] has been introduced. Since the IP- WSN application domain is expanded to real-time applications such as health-care [17] and surveillance systems, a fast and seamless handover becomes an important criterion for supporting mobility in 6LoWPAN [21]. In this paper, we have studied mobility characteristics along with design issues under different mobility scenarios. We propose a scheme to manage the mobility of nodes. The 6LoWPAN based wireless sensor network will be integrated with grid computing establishing a Sensor-grid which may also be used widely in various applications.
Cluster-based Routing Performance Optimization Constraint of Energy, Delay and Connectivity Metrics in Wireless Sensor Network
Authors: Cao Ting , Wang Yuhao , Xiong Xinmin , Hao Yan
Published: November 2017

This paper aims to propose a framework for optimizing performance in cluster-based wireless sensor networks (WSNs) with constrains of energy consumption, delay and connectivity. For the limitation of energy storage being discussed a lot, many researches try to find more solutions to improve it. But, the other index of wireless sensor networks may be deteriorated by many routings which are dedicated to optimizing energy consumption. Thereby, multi-objectives optimization is one of significant issues in WSNs. The model of isolation nodes probability for connectivity in the clusterbased networks is adopted for the issue. Not only will the performance of Leach and existing multiobjectives optimization methods be compared under the proposed framework, but also will the performance of networks in different size of scenarios be analyzed. Simulation results show that the proposed framework combining NSGA can provide an effective sensing in terms of energy consumption, delay and connectivity in the cluster-based networks.