bluuebunny/crossref_metadata_2025_split huggingface dataset:
Particle Filter on Nonlinear Vibration Signal of Bridge Stayed Cable
Authors: Qingwei Ye , Debin Yuan , Yu Zhou , Xiaodong Wang 
Published: November 2017

Abstract
For the nonlinear vibration signal of stayed cables, a new particle filter algorithm is used in this paper. Firstly, nonlinear dynamic model of the stayed-cable and beam coupling system is dispersed in temporal dimension by using the finite difference method. So the discrete nonlinear vibration equation of any cable element is gotten. And secondly, a state equation ofparticle filter is fitted by least square algorithm from the discrete nonlinear vibration equation. So the particle filter algorithm can use the accurate state equations. Finally, the particle filter algorithm is used to filter the vibration signal of bridge stayed cable. The vibration signal is de-noised. And from the particle filter, the vibration signal can be tracked and be predicted for a short time accurately. The simulation experiments and the actual experiments on the bridge stayed cable are all indicating that the particle filter algorithm in this paper has good performance and works stably.
Decentralized PI-D Controller Applied to an Aerothermic Process
Authors: Ramzi M. , Bennis N. , Haloua M. , Youlal H. 
Published: November 2017

Abstract
The aerothermic process is a pilot scale heating and ventilation system. It is equipped with a heater grid and a centrifugal blower, fully connected through the Humusoft MF624 data acquisition system for real time control. The interaction between its main variables is considered as challenging for mono-variable controllers. An abrupt change in the ventilator speed might cause an undesirable disturbance in the air temperature representing a factor that must be managed to conserve energy. To annul the effect of this interaction, this paper presents an experimental comparison between three forms of the PID controller: the conventional PID controller, the PI-D controller and its decentralized version. A multi-variable continuous state space model is obtained from on-line experimental data. The outcome of the experimental results is that the main control objectives, such as set-point tracking and interactions rejection, are well achieved for the temperature and the air flow simultaneously.
Robot-Assisted Therapy: Design, Control and Optimization
Authors: Mehdi Haifa , Boubaker Olfa 
Published: November 2017

Abstract
To improve the human arm function of disable patients after stroke, we propose in this paper a new design of a robot-assisted therapy. The robotic device must be attached to a human arm and mimics the motion of the shoulder, elbow and wrist joints. The functional training of the stroked upper limb is covered in motion and force via a safe compliant motion. The controller parameters are optimized by the therapist based on the human morphology parameters via an intelligent Control Interface where a Therapist-Patient Interface including the training mode configuration and the displaying the training data must motivate the patients during the assessment treatment progress.
Distributed Trust Inference Model Based on Probability and Balance Theory for Peer-To-Peer systems
Authors: Tan Zhenhua , Yang Guangming , Cheng Wei 
Published: November 2017

Abstract
Researchers have done much around how to measure trust degrees or levels by local and global style in a given distributed network. However, how to infer trust degree for a strange node efficiently in a large-scale distributed environment was little done. This paper focuses on this problem, and proposes a novel trust model based on balance theory and probability theory. We firstly design a simple direct trust model for evidence computing, then construct trust relations network and trust inference network based on direct trust network. In order to discover trusted evidence chains during complex relations, we design two inference rules and propose mathematics models to infer indirect trust value based on Markov chain theory. Simulations proved the rightness and effectiveness in intensive trust relations environment and intensive distrust environment.
LT-PAM: A Ranging Method Using Dual Frequency Optical Signals
Authors: Sugimoto Masanori , Nakamura Shigeki , Inoue Yuki , Hashizume Hiromichi 
Published: November 2017

Abstract
This paper describes a new ranging technique using optical signals. The proposed technique is called LT-PAM (Long-Term Phase Accordance Method), and it has been extended from our own ranging technique called Phase Accordance Method (PAM). LT-PAM transmits multiple sync patterns composed of two sinusoidal waves with different frequencies. Unlike chirp modulation techniques, LT- PAM transmits the two waves simultaneously and thus enables the shortening of measurement time. We have conducted experiments using two types of light sources, collimated and diffused light. The experimental results indicated that the proposed method showed a moderate level of accuracy by adjusting the measurement time. For example, LT-PAM using a light emitting diode transmitting multiple sync patterns lasting 4 ms achieved 19.5 mm standard deviation in a measurement ranging 1500 mm. We also describe the theoretical analyses related to the proposed technique and discuss possible improvements by comparing theoretical and experimental results.
Lossless Electrocardiogram Compression Technique and GSM Based Tele-Cardiology Application
Authors: Mukhopadhyay S. K. , Ghosh S. , Chakraborty S. , Das S. , Mitra M. , Mitra S. 
Published: November 2017

Abstract
Software based efficient lossless Electrocardiogram compression and transmission scheme is proposed here. The algorithm has been tested to various ECG data taken from PTB Diagnostic ECG Database. The compression scheme is such that it outputs only ASCII characters. These characters are transmitted using Global System for Mobile Communication based Short Message Service system and at the receiving end original ECG signal is brought back using the reverse logic of compression. It is observed that the proposed algorithm offers a moderate to high compression ratio (7.18) without any alteration of clinical information (PRD = 0.023%) with an excellent Quality Score (312.17).
A Novel Tri-Factor Mutual Authentication with Biometrics for Wireless Body Sensor Networks in Healthcare Applications
Authors: He Chen-Guang , Bao Shu-Di , Li Ye 
Published: November 2017

Abstract
User authentication, as a fundamental security protocol, has been addressed with more concerns recently. Unlike normal authentication processes invoked by a user to access the network, biosensors with healthcare applications normally need to be validated automatically, followed by data transmission to the remote server without any explicit request. Hence, implied authentication procedure involved in such application scenarios shall be addressed. In this paper, a novel tri-factor user authentication protocol with mutual access is proposed for the body sensor networks (BSN) in healthcare application. It is demonstrated that the proposed protocol has its advantages over the existing two-factor user authentication schemes.
Utility Based Data Gathering in Mobile Sensor Network
Authors: Jieyan Liu , Lei Wu , Haigong Gong 
Published: November 2017

Abstract
Traditional data gathering approaches cannot be applied to Mobile Sensor Network (MSN) due to sparse network density and sensor node mobility. In this paper, we propose a utility based data gathering protocol (UDG). The distance utility is used to indicate the closeness between sensor nodes and the sink node, and the activity utility is used to evaluate the ability of sensor nodes acting as relays. UDG combines the distance utility with the activity utility to make routing decisions. It also presents a buffer management scheme based on the utility. Experimental results show that UDG achieves desirable performance with low delivery overhead.
A Blind Source Separation Method for Convolved Mixtures by Non-Stationary Vibration Signals
Authors: Hongxian Ye , Wenchang Li , Xiaoping Hu 
Published: November 2017

Abstract
A simple and feasible of BSS method to separate the convolution mixture of non-stationary vibration signals is present in this paper. The method is carried out by means of two iterative procedures: The first procedure is to estimate the coefficients of the filters. The independence criterion is used and the unknown filters are obtained by a back propagation procedure by means of simplifying the coefficients of filters. The next procedure is to estimate the source vibration signals. The coupled vibration signals are obtained by means of the filters gotten from the former procedure and the estimation sources are obtained through decoupled procedure. Simulation and experiment results show that the method is effective. This improved method can be used to separate convolutive mixtures with non-stationary mechanical vibrations.
Design And Realization of a UHF RFID Interrogator
Authors: Xu Liyan , Sun Lingling , Hu Xiaoping 
Published: November 2017

Abstract
RFID is a generic item which uses radio waves to automatically identify objects and people. This paper presents a flexible RFID interrogator system architecture which could support various kinds of RFID standards and realizes a UHF RFID interrogator based on the EPC global C1G2 standard in details. The proposed interrogator system consists of RF analog front end, digital baseband and MAC layer. The system circuit contains a FPGA chip and peripheral circuits. NiosII core as a controller is inserted in FPGA. The proposed FPGA based baseband platform could implement various kinds of RFID standards, and efficiently reduce the design time and development cost.
A reliable signal conditioning circuit to acquire human biopotentials
Authors: Bhattacharya Aditi , Basu Dibyendu , Goswami Bhaswati , Ghosh Ratna 
Published: November 2017

Abstract
It is well known that every human being is a complex system made up of cells, tissues, organs and organ systems that function together to maintain its health. The coordinated physiological processes maintain most of the steady states in an organism, not at a fixed value, but within a narrow, relatively constant range, known as homeostasis [1]. Recently, a non-invasive measurement of human biopotentials has been proposed in order to provide information about the condition of the human system as a whole [2]. In this work, the development of two identical signal conditioning circuits that facilitate the acquisition of the human biopotentials simultaneously from both the hands has been presented. The objective of developing these circuits is to enhance the signal levels of both the measured biopotentials uniformly and faithfully, without distortion. This is expected to enable a more reliable and detailed analysis of the acquired signals in future.
PLC Based Adaptive Fuzzy PID Speed Control of DC Belt Conveyor System
Authors: Shah Mohd Heidir Mohd , Rahmat Mohd Fua’ad , Danapalasingam Kumeresan A. , Wahab Norhaliza Abdul 
Published: November 2017

Abstract
Conveyor belt system is one of the most common transfer systems used in industry to transfer goods from one point to another in a limited distance. It is used in industries such as the electro- mechanical/mechanical assembly manufacturing to transfer work piece from one station to another or one process to another in food industries. The belt conveyor system discussed in this paper is driven by a DC motor and two speed controllers. The PID speed controller is designed to provide comparison to the main controller which is the Adaptive Fuzzy PID Speed controller. Both controllers are implemented in a real hardware where the algorithm will be written in PLC using SCL language. The experimental result shows that Adaptive Fuzzy PID controller performs better and adapted to the changes in load much faster than the conventional PID controller. This project has also proved that PLC is capable of performing high level control system tasks.
Dielectric Resonator Antenna as a RFID Tag for Human Identification System in Wrist Watch
Authors: Makwana G. D. , Ghodgaonkar Deepak 
Published: November 2017

Abstract
Radio Frequency Identification (RFID) has been considered as a time and money-saving solution for a wide variety of applications, such as manufacturing, supply chain management, and inventory control. However, there is a growing need in the RFID community to research and find out the tag with miniature, circular polarized radiation patterns, dual band operation, high radiation efficiency and high bandwidth operations. This paper presents compact radio frequency identification (RFID) tag for human identification system in wrist watch. Dielectric resonator antenna (DRA) with patch is used as an active tag. The proposed antenna is operated on dual frequency bands. Simple microstrip line is used as a feeding mechanism. It is operated at 2.4 GHz and 5.8 GHz frequency band. It has circular polarization radiation patterns. Simulation results are presented on various parametric studies on the RFID tag.
Model Based Application Level Middleware for Design of Wireless Smart City
Authors: Liang Yujie , Ying Rendong , Liu Peilin 
Published: November 2017

Abstract
The Wireless Smart City (WSC), an emerging concept in Smart Grid and Internet of Things, has attracted an increasing number of customers and developers - based with its promise of low cost implementation and flexibility. At the same time, the challenges faced with in the field applications hinder the progress of WSC from researches into commercial production. A model based application level auxiliary platform is presented to help the development of WSC. This middleware together with the existing network simulators replace field test during WSC design. The proposed platform reduces engineering cost and increases development efficiency. Network optimization is implemented to provide an automatic design of WSC.
Multiple Parameter Monitoring System for Landslide
Authors: Chuan Wu , Wen-qiao Wang , Guo-jun Wen , Xiao-ming Wu 
Published: November 2017

Abstract
China has complex terrain where landslide happens very frequently, thus leading to serious damages sometimes. So in China much attention is paid to the monitoring of landslide. There are various methods in landslide monitoring all over the world. Bas1200ed on the analysis on previous landslide monitoring instruments, this paper designs a new kind landslide monitoring system, which can monitor three parameters of different depth at a time: internal displacement, internal geotechnical pressure and pore water pressure. The system consists of three parts: mechanical structure, monitoring system and PC software. In this system the data collected by sensors are firstly stored in the SD card, and the user will be able to read the monitoring data at regular intervals instead of monitoring data changing timely, which can save labor, especially at the initial stage of landslide. At last laboratory testing has been done to verify the accuracy of this measuring system and the result satisfies the design requirements.
Field Programmable Gate Array Based Embedded System for Non-Invasive Estimation of Hemoglobin in Blood using Photoplethysmography
Authors: Sharma Chetan , Kumar Sachin , Bhargava Anshul , Chowdhury Shubhajit Roy 
Published: November 2017

Abstract
In this paper, a Field Programmable Gate Array (FPGA) based embedded system has been proposed for non-invasive detection of hemoglobin in blood using photoplethysmography. Photoplethysmography (PPG) is a non-invasive and low-cost optical technique that can be used to detect blood volume changes in the micro-vascular bed of tissue. Our investigations revealed that volume of water present in blood considerably affects the reading of the concentration of blood hemoglobin. In our current work, the proposed device is developed with monitoring of PPG waves at three wavelengths so as to compensate for the error due to absorption of near infrared radiation (NIR) by water in the blood. The device also has been developed to be robust enough to tolerate distortions in the waveform due to motion of the subject. In order to sense the motion of the subject a 3-axis accelerometer has been used and correction is suitably applied to the sensed waveform. As a result, it is possible to measure the concentration of hemoglobin in blood while the subject is on the move.
The Data Analysis System for Industrial and Enterprise Greenhouse Gas Emission
Authors: Li Sheng-jie , Zhang Jian , Duan Zhi-jie , Moga Liliana Mihaela , Qi Lin 
Published: November 2017

Abstract
A Data Analysis System for Industrial and Enterprise Greenhouse Gas Emission, for meeting the needs of the giant energy-consuming enterprises has been set up through a series of studies on the verification method of Greenhouse Gas (GHG) in industries such as cement, thermal power, cogeneration, transport, sewage treatment etc. The analysis system consists of six modules: Organization Structure; Facility; Activity Data Input; Emission Data Analysis; Report Generation; Parameters Configuration. The calculation process is based both on the Emission Factor Method and the Materials Balance Method; the first method performs an easy calculation for the GHG emissions released from the fuel combustion, electricity or steam consumption, general business and office activities; the last one provides a specialized calculation for the professional production processes such as cement production, exhaust desulfurization and sewage treatment etc. In order to test the system, it has been used as an example the GHG emission of a thermal boiler.
Interpolation of Microcontroller ADC by Self Induced Dithering
Authors: Bengtsson L. E. 
Published: November 2017

Abstract
The resolution of ADCs (Analog-to-Digital Converters) can be improved by dithering, i.e. by intentionally injecting white noise into the analog signal. This work describes the theory behind dithering, how to optimize the magnitude of the noise and also a design that illustrates how dithering can be implemented to increase the resolution of a microcontroller’s ADC. In order to demonstrate the potential of the design, the resolution of the 10-bit ADC of a PIC18F458 microcontroller is increased to 12 bits by dithering. This is possible by oversampling and decimation. The great advantage of the proposed design is that the noise is generated by the microcontroller itself, obviating the need of an external noise source.
Distributed Target Localization and Tracking with Wireless Pyroelectric Sensor Networks
Authors: Shen Baihua , Wang Guoli 
Published: November 2017

Abstract
Due to the disadvantages of traditional localization & tracking at those aspects of users’ privacy protection, system configuration and maintenance, this paper proposes a new approach for infrared object localization and tracking with distributed wireless pyroelectric infrared sensors. A hierarchical architecture of visibility of Fresnel lens array is presented with spatial-modulated field of view (FOV). Firstly, the FOVs of Fresnel lens array in a sensor node are modulated to achieve a single degree of freedom (DOF) spatial partition; then the localization algorithm is proposed to coordinate multiple sensors nodes to achieve two DOF spatial partitions. To effectively solve the problem of WSN energy imbalance, a strategy of neighbor table multicast and an electoral method of the dynamic cluster head based on the biggest energy are presented in the distributed wireless sensor networks. The experiments show that the method proposed here has the advantages in high accuracy and strong anti-interference capability.
A Parfocality Measurement Method of a Continuous Zoom Stereo Microscope
Authors: Wang Yigang , Jiang Gangyi , Yu Mei , Shao Feng , Yuan Wang 
Published: November 2017

Abstract
To satisfy the demands of the continuous zoom stereo microscope, a parfocality measurement method is proposed. First, the mechanical parameters of the focusing system are estimated by testing the highest and the lowest displacements of the lens group and the rotation angle of the knob simultaneously. Second, by analyzing images captured under different zoom rates, the relatively sharpest displacement under a specified zoom rate is obtained according to the values of the four definition functions, including the variance function, the gradient square function, the discrete Fourier transform function and the Walsh-Hadamard transform function. Then, an in-focus model is presented and implemented to determine whether or not the relatively sharpest displacement under a specified zoom rate is an in-focus displacement, and to obtain the discrete in-focus displacements under multirates. Finally, by using discrete in-focus displacements, a continuous zoom in-focus curve is fitted. Results from the experiments show that the proposed method can accurately and effectively measure the parfocality of a continuous zoom stereo microscope.
Wavlet-Based Active Sensing for Health Monitoring of Plate Structures using Baseline Free Ultrasonic Guided Wave Signals
Authors: Banerjee Sauvik , Mandal Debadatta , Subhani Shaik Mahabu 
Published: November 2017

Abstract
A wavelet-based active sensing technique for health monitoring of isotropic thin plate-like structures using baseline-free ultrasonic guided Lamb wave signals is presented. In this technique, a built in clock-like piezoelectric (PZT) wafer array of small footprint comprising of a single transmitter and multi-receivers (STMR) is considered. The recorded signals in absence of defects are compared with a theoretical model first, and the velocity and amplitude dispersion of guided waves are studied in an effort to tune an appropriate guided wave mode. A five cycle Hanning pulse is transmitted, and the pulse-echo data recorded at the receivers is processed using two novel algorithms, namely damage index 1 (DI1) and damage index 2 (DI2), based on wavelet transformation to identify defects in the form of cracks and loose rivet holes, which are located both near and far away from the array. In both cases, damage index (DI) maps are generated for identification of defects in a particular coverage area on demand by considering the reflected fundamental guided wave modes. Simulation studies are also carried out to demonstrate the effectiveness of the proposed sensing technique. The DI maps clearly show higher values of DI at defect locations enabling identification of multiple defects. The DI2 is found to produce better angular resolution of the defect location than the DI1.
Intelligent Transduction for Response Synthesis in Telemanipulation
Authors: Mukherjee J. K. 
Published: November 2017

Abstract
A virtual transducer forming technique has been developed with an objective to enhance remote environment perception in tele-robotic systems by adding proximity feel in pre-contact phase during remote manipulation tasks. A fluidics inspired transducer model has been conceived and designed to serve for master side perception creation based on remote robot’s proximity with workspace objects and its dynamics. Robot’s native joint sensors function as primary sensors and active joystick forms the output stage. It induces proximity feel around approachable and unapproachable parts in distinctly different manner. The paper delves in aspects like building reconfigurability for varied transducer characteristics formation and tunable force exertion on operator hand for suiting application context and operator choice.