bluuebunny/crossref_metadata_2025_split huggingface dataset:
Driving Resistance Factor Calculating Method for Parallel-Serial HEV
Authors: Guo Hailong , Li Lifu 
Published: November 2017

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

AbstractThe 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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.