bluuebunny/crossref_metadata_2025 huggingface dataset:
A Blind Source Separation Method for Convolved Mixtures by Non-Stationary Vibration Signals
Authors: Hongxian Ye , Wenchang Li , Xiaoping Hu
Published: November 2017

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
An Adaptive Traffic Light Control Scheme and its Implementationin WSN-Based ITS
Authors: Zhou Binbin , Cao Jiannong , Li Jingjing
Published: November 2017

We investigate the problem of adaptive control of traffic lights using real-time traffic information collected by a wireless sensor network (WSN). Previous studies mainly focused on optimizing the intervals of green lights in a fixed sequence of traffic lights, and ignored some traffic flow’s characteristics and special traffic circumstances. In this paper, an adaptive traffic light control scheme has been proposed, in which the sequence of traffic lights can be adjusted dynamically in accordance with the real time traffic detected, including traffic volume, waiting time and vehicle density. Subsequently, the optimal traffic light length can be determined according to the local traffic and predicted traffic data. Simulation results demonstrate that the proposed scheme can achieve much higher performance, in terms of throughput and average waiting time. We also implement proposed scheme into our WSN-based ITS project, iSensNet, and the result shows that our scheme is effective and practical.
The Vibration and Measurement of Driving Mode of the Two-Stage Decoupled Micro-Machined Gyroscope
Authors: Fenglin Yao , Shiqiao Gao , Jie Zhao , Haipeng Liu , Shaohua Niu , Lei Jin
Published: November 2017

This paper introduces the working principle of the two-stage decoupled micro-machined gyroscope, and establishes the vibration equation of the driving mode. By solving the differential equation, the analytical solution and the amplitude-frequency characteristics of the driving mode are obtained. By the visual measurement based on high-speed photography and the post image processing, it measures the natural frequency of the driving mode of the micro-machined gyroscope. And it measures the damping coefficient in time domain and frequency domain respectively using this method. The comparison to the theoretical solution proves that the method is effective and accurate; it will help the study for the micro-machined gyroscope vibration and provides a new way to measure MEMS.
An Adaptive Channel Hopping Algorithm for Wireless Sensor Network with Mesh Structure
Authors: Jindong Zhao , Baode Fan , Yunhong Lu , Chunxiao Mu
Published: November 2017

According to EGTS proposal, an adaptive channel hopping algorithm that can be used in wireless mesh sensor networks was is designed in this paper. The nodes select proper channels independently and use them to communicate with their neighbors. Once a pair of nodes find their current channel has been deteriorated, they abandoned the current channel and enable the reserved channel, so that the reliability of the network is improved. The algorithm is compatible with the primitives and the frame structure of EGTS and makes use of multi-channels efficiently. The data structure and the procedure of the mechanism were described in detail and the feasibility and the efficiency was given by analysis and experiment. Finally, it is concluded that the algorithm is practicable when the density of network is less than 8 and the topology is relatively static.
A Novel Key Chain-Based En-route Filtering Protocol For Wireless Sensor Networks
Authors: Zhang Zhiming , Xiong Xiaoyong , Deng Jiangang
Published: November 2017

Sensor nodes may be deployed in hostile environments. An adversary may compromise the sensor nodes and inject false data into the network, which wastes scarce energy resources of the forwarding nodes. Existing schemes can effectively resist false data injection, but most of them do not consider the identifiers (IDs) attack, the en-route nodes check only the Message Authentication Codes (MACs) and do not verify the nodes identifiers (IDs) of the endorsing reports. In this paper, we propose a novel security routing protocol (KCEFP) based on one-way key chain. The proposed protocol can resist false data injection, replay and IDs attacks, and if the endorsement report is modified, the forwarding nodes can verify the endorsement report by the key chain, and filters out the fabricated packet right now. The security and performance analysis shows that our scheme provides a high security level and the energy savings significantly increasing with the number of fabricated report packet increasing.
ESKA: A Highly Reliable Authentication Protocol Based-on One-way Key Chain for WSN Broadcast
Authors: Wang Qianping , Li Ruoyu , Lai Liangli , Kong Lei
Published: November 2017

The authentication of broadcast sources is one of the most important research issues in the area of network security. To confirm that the control information received is from the genuine management nodes, the message broadcasted from management nodes must be verifiable for the working nodes. In this paper, a highly reliable WSN broadcast authentication protocol based-on one-way key chain, namely, the ESKA, is presented. For the purpose of comparison, a group of simulations are conducted. The results have demonstrated that compared with μTESLA, the presented method is of lower authentication delay and higher authentication rate in large broadcast data traffic transmission, meanwhile reducing considerable communication overheads in those applications.
Autonomous Multi-Target Interception in Dynamic Settings – On-Line Pursuer Task Allocation
Authors: Sheridan Patricia Kristine , Kosicki Pawel , Nejat Goldie , Benhabib Beno
Published: November 2017

In this paper, we present a generic task-allocation methodology for time-optimal, autonomous on-line interception of multiple dynamic targets by a team of robotic pursuers. The proposed novel methodology is applicable to problems consisting of numerous variations of multiple pursuers and targets. The targets are assumed to be highly maneuverable with a priori unknown, though real-time trackable, motion trajectories. Guidance theory is employed to allow each of the pursuers to navigate autonomously towards its allocated target. Numerous simulations and experiments have verified that the proposed methodology is tangibly efficient in dynamic (one-to-one) re-pairing of pursuers to targets for minimum total overall interception time.
A New Unequal Clustering Algorithm using Energy-Balanced Area Partitioning for Wireless Sensor Networks
Authors: Suharjono Amin , Wirawan  , Hendrantoro Gamantyo
Published: November 2017

Multi-hop Clustering is more preferred than the single-hop one because the transmission range of the Wireless Sensor Networks (WSN) nodes is not determined by the size of the network area. However, the multi-hop method brings a new problem related to the workload imbalance between the cluster-heads (CHs). Unequal Clustering becomes the most proposed solution of the unbalance load, but the calculation of the radius clusters still become a big challenge to achieve a maximum balancing degree. In this paper, we propose a new unequal clustering algorithm based on the partitioned circles network model, having better accuracy in the energy consumption analysis than the rectangular one. The superiority of the algorithm we propose is cluster parameters, by which the region width and cluster-head probability, are obtained with a complete energy consumption analysis. Through the simulation evaluation, the algorithm brings the better performance than the equal clustering.
Virtual Detection Zone in smart phone, with CCTV, and Twitter as part of an Integrated ITS
Authors: Hardjono B. , Wibisono A. , Nurhadiyatna A. , Sina I. , Jatmiko W.
Published: November 2017

In this proposed integrated Intelligent Transport System, GPS enabled smart phones, and video cameras are used as traffic sensors, while Twitter is used as verifier. They are attractive because they are non intrusive, and consequently more practical and cheaper to implement. Our novel Virtual Detection Zone (VDZ) method has been able to map match by using pre-determined check points. VDZ speed accuracy ranges from 93.4 to 99.9% in higher speeds and it only needs one longitude and latitude coordinate, to form a detection aware zone. Also by using ANFIS we show that a more accurate traffic condition can be obtained using our three sources of data.
State of the Art on Secure and Low Cost RFID Authentication Protocols for RFID Based Vehicle License Plate
Authors: Syamsuddin Irfan
Published: November 2017

RFID technology has many potential applications that would ease object identification seamlessly. One of its potential benefits to government is the adoption of RFID tag as embedded smart material within vehicle license plate. However, adoption of RFID in vehicle license plate is fragile from various RFID attacks while efforts to improve its security will lead to additional cost. Enhancing RFID security without extra cost poses new challenges to researchers in the area. This study aims to provide a state of the art on RFID authentication protocols under low cost restriction as a foundation for decision maker for further development stage of RFID based vehicle license plate. In depth analysis is performed by assessing the protocols according to three features namely data protection, tracking prevention, and forward security. Finally, it is concluded that the protocols are vary in satisfying three aspects of security features.
Performance Analysis of ECG Signal Compression using SPIHT
Authors: Isa Sani Muhamad , Suryana M. Eka , Akbar M. Ali , Noviyanto Ary , Jatmiko Wisnu , Arymurthy Aniati Murni
Published: November 2017

In this paper, we analyze the performance of electrocardiogram (ECG) signal compression by comparing original and reconstructed signal on two problems. First, automatic sleep stage classification based on ECG signal; second, arrhythmia classification. An effective ECG signal compression method based on two-dimensional wavelet transform which employs set partitioning in hierarchical trees (SPIHT) and beat reordering technique used to compress the ECG signal. This method utilizes the redundancy between adjacent samples and adjacent beats. Beat reordering rearranges beat order in 2D (2 dimension) ECG array based on the similarity between adjacent beats. The experimental results show that the proposed method yields relatively low distortion at high compression rate. The experimental results also show that the accuracy of sleep stage classification and arrhythmia classification using reconstructed ECG signal from proposed method is comparable to the original signal. The proposed method preserved signal characteristics for the automatic sleep stage and arrhythmia classification problems.
Human Identification Based on Walking Detection with Acceleration Sensor and Networked Laser Range Sensors in Intelligent Space
Authors: Morioka Kazuyuki , Hashikawa Fumitaka , Takigawa Tomoyasu
Published: November 2017

This study aimed to identify a specific human with the accurate position measurements by integrating the networked laser range finders in the intelligent space and an wearable acceleration sensor with the human. A human identification method based on associating detections of walking behaviors from both sensors is proposed. Parameter optimization was also performed for improvement of identification. System configurations and implementations using RT component are also described. Some experimental results showed a feasibility of the proposed method. In the proposed system, only walking detection results are communicated among sensors. The proposed system with small data communication is effective for networked sensor systems like intelligent spaces.
Parameters Optimization of Passive Vehicle Suspension based on Invariant Points Theory
Authors: Liu Jin , Shen Yongjun , Yang Shaopu
Published: November 2017

Two methods for parameters optimization of traditional passive suspension based on the invariant point theory are presented in this paper. Firstly, the two degree-of-freedom dynamical model for a quarter vehicle suspension is established. Then all the invariant points for the acceleration of vehicle body, suspension deformation, and tire displacement are obtained through the invariant equation associated with Laplace transform. Secondly, two optimization methods for the system parameters of passive suspension are presented, and the design objectives are to designate the invariant points as the local maximum points of the amplitude-frequency curves so as to improve the control performance of vibration isolation. At last, the control performances of the two improved passive suspension systems are compared with those of the original passive suspension, the active suspension, and the semi-active suspension by some performance indexes. The results show that the two optimization methods could greatly improve the control performance of passive suspension systems.
Automatic Control Process of Solenoid Valve Production line based on PLC and Touch Screen
Authors: Chu Jian , Feng Yan
Published: November 2017

This article introduces the automatic control process of solenoid valve production line with PLC control and touch screen user interface. The production line can produce four types of solenoid valves. There are numerous steps in the production process to ensure the quality of the products, e.g. image error detection and Helium leak detection. The control process uses the Siemens S7-300 as the control core, in conjunction with the Siemens touch screen TP 177B as the human machine interface to achieve the real-time control for the production line. The system control structure, hardware components, software design, as well as the process of automatic control are articulated in this article. The production line runs with consistent stability, the man-machine interface is user friendly, and all the processes have a high level of automation.
A Rotating Cantilever Beam for Dynamic Strain Measurement and Vibration Analysis Based on Fbg Sensor
Authors: Jiang Xixin , Zhou Zude , Bian Guangrong
Published: November 2017

Strain measurement and vibration analysis of a rotating blade are critical for the progress in improvements of the performance of machines. Since traditional sensors and measurement methods have difficulty measuring the rotor blade’s dynamic strain and vibration, the search for new measurement methods has become an urgent task in rotor machine monitoring and diagnosis. This paper presents a new method based on Fiber Briggs Gratings (FBG) for the measurement of strain and estimation of vibrations in a rotating cantilever. The method is based on the fact that the vibration displacement can be expressed in terms of an infinite number of vibration modes and be related to the dynamic strains through strain-displacement relationship. By placing multiple sets of FBG and utilizing an optic coupler, the rotating cantilever beam’s dynamic strain can be measured and vibration can be estimated at the same time. From the results, it can be concluded that this new monitoring method is applicable to the rotating blade.
Evaluation of Finger Direction Recognition Method for Behavior Control of Robot
Authors: Ikai T. , Ohka M. , Kamiya S. , Yussof H. , Abdullah S. C.
Published: November 2017

When a human gives an order to a robot, the robot must often use its vision to ascertain the human’s indication. In our previous paper, to develop a system where robots precisely receive and obey human orders in daily work spaces, we proposed an experimental system for finger direction recognition (FDR) in 3D space using stereo matching by mounting two cameras on the robot. In this paper, we evaluate this system for FDR in 3D space by performing a series of evaluation experiments using a turntable capable of fixing a hand in a specific finger direction. We estimated various finger directions and distances for two major pointing hand forms (Forms 1 and 2) and evaluated the precision of θ and Φ. We conclude that the θ and Φ estimations are valid because the estimation error is almost within 10 ° when the distance between the camera and object is less than 110 and 80 cm for θ and Φ for Forms 1 and 2, respectively. Finally, we applied our FDR system to the communication between a robot and a person by visual and tactile sensations. In the application test, the robot recognized the object at which the person pointed and put it in the person’s palm.
Investigation of Human Tactile Stochastic Resonance Depending on Frequency Effect
Authors: Beceren Kadir , Ohka Masahiro , Miyaoka Tetsu , Yussof Hanafiah , Makhtar Ahmad Khushairy , Basir Siti Nora
Published: November 2017

Stochastic Resonance (SR) is a significant concern for design of robotic tactile sensors because of its considerable enhancement of sensitivity of human tactile sensation. In the last few decades, researchers have found that noise previously considered detrimental in fact provides the benefit of SR phenomena. However, there are no experimental results for dependence on vibrotactile frequency, which issued as basic data for robotic tactile sensors. In this paper, we investigated the influence of the SR phenomena on human tactile sensation in the context of frequency-dependence of absolute thresholds (AT). We developed a system composed of an experimental apparatus and a computer program based on psychophysics in order to measure the AT of human vibrotactile sensation. We performed three series of psychophysical experiments using normal vibration, 8-mm-sized stimulus point and the continuous sinusoidal signals of 32, 50 and 75 Hz to obtain the AT variation in frequency. The results show that since normal ATs decrease with appropriate noise, SR is observed in normal stimuli tests in the frequency range from 32 to 70 Hz. Since the inclination of the curve of AT in a double logarithmic graph is around -1 in both with-noise and without-noise conditions, SR is caused by the FA-I mechanoreceptive unit in the range of frequency.
An Assistance System For Building Intelligent Spaces Based On Mapsharing Among A Mobile Robot And Distributed Sensors
Authors: Hashikawa Fumitaka , Morioka Kazuyuki
Published: November 2017

An intelligent space is a space constructed with many networked sensors. Humans and robots in the space are extracted and tracked cooperatively by the networked sensors. The intelligent space can achieve position-based supports to humans and robots according to integration of networked sensors. Generally, the networked sensors are distributed and fixed on the structures in the space such as walls, ceilings and etc. In order to track moving objects such as humans and robots in the intelligent space, all networked sensors have to obtain objects positions in the unified world coordinate. In that case, positions and orientations of the networked sensors must be also known in the unified world coordinate system. However, it is time-consuming to measure positions of many sensors in the world coordinate accurately and manually. This study aims to develop a system for supporting estimation of positions and orientations of the networked sensors in the intelligent space.

In this paper, a configuration of the proposed system is introduced. The proposed system consists of map building systems of the mobile robot and the distributed sensors. A global map from the robot and local maps from the distributed sensors are compared. Then, the local maps of the distributed sensors are associated with the global map and the positions of the distributed sensors are estimated in the global map. For improvement of map matching, angle differences between maps are evaluated. Some experimental results in an actual environment show that the proposed system achieve sensor position estimation easily.
Low-Power Wireless Liquid Monitoring System using Ultrasonic Sensors
Authors: Viswanath Samarth , Belcastro Marco , Barton John , O’Flynn Brendan , Holmes Nicholas , Dixon Paul
Published: November 2017

Monitoring Systems are necessary to understand the changes that take place in environments. Remote monitoring and data collection systems are useful and effective tools to collect information from bulk storage tanks and to monitor the same. The measurement of liquid inside the tank is most important and such systems are useful in industries which are categorized as safety critical systems. This paper presents the architecture and initial testing results of a low power wireless system for tank level monitoring using ultrasonic sensors.
L-Shaped Cantilever Parallel - Plate MEMS Accelerometer Design Parameters using A Gravitational Search Algorithm
Authors: Oukil Souad , Boudjemai Abdelmadjid , Boughanmi Nabil
Published: November 2017

Due to their small size, low weight, low cost and low energy consumption, MEMS (Micro Electro-Mechanical Systems) accelerometers have achieved great commercial success in recent decades. The objective of this paper is to find the optimum design for a typical MEMS accelerometer, which satisfies a set of given constraints. Due to the complex nature of the problem, a gravitational search algorithm (GSA) is developed for optimization. The GSA attempts to optimize the inter-plate gap while satisfying all other engineering goals. The model was constructed in Msc Patran and Nastran software were calculated and model’s response was found. In this paper the optimal design from the theoretically derived gravitational search algorithm is compared to finite element model in order to ascertain its accuracy and verify the results.
A Novel Approach of Combining Steganography Algorithms
Authors: Jaheel Hamdan Lateef , Beiji Zou
Published: November 2017

Steganography is the act of hiding a message inside another message in such a way that the hidden message can only be detected by its intended recipient. In this paper, we combined two steganography algorithms namely JSteg and OutGuess algorithms, in order to exploit the beneficial characteristics and features of both algorithms to enhance the protection level for secret images. In our proposed approach, the secret message (image) is first concealed inside another image using JSteg algorithm and the resultant stego-image is further hidden inside a final image using OutGuess 0.1 algorithm. In this combine approach, the tricky nature of hiding an already hidden message is using two different algorithms increases the level of difficulty for a third party to suspect the existence of a secret image in the first place or even successful decode the it. Besides that, the priority given to the choice of a good image size and type in this approach further disguises the secret image and increases the chances that the image could go unnoticed. Results after calculating the capacity and PSNR for images proved that our approach is a good and acceptable steganography system. The model presented here is based on JPEG images.
Sparse Representation Theory and its Application for Face Recognition
Authors: Wang Yongjiao , Wang Chuan , Liang Lei
Published: November 2017

Face recognition aims at endowing computers with the ability to identify different human beings according to their face images. However, recognition rate will decrease sharply when it refers to the non-ideal imaging environments or the incorporation of users, such as illumination, pose, expression variations and so on. Besides, it will be also influence the recognition results when the database is too large or small. Sparse representation based classification for face images has been one of efficient approaches for face recognition in recent years. Discrimination performance by using the sparse representation can also be applied to the face recognition, and any test sample can be expressed as a linear span of the all training samples. Experimental results show that face recognition method based on sparse representation is comparable to others.
Image Fusion and Recognition based on Compressed Sensing Theory
Authors: Bai Qiuchan , Jin Chunxia
Published: November 2017

As the compressed sensing theory can offer a better performance than Nyquist sampling theorem when dealing with large amounts of data, it becomes very popular for image fusion and target recognition in image processing. In this paper, a new image fusion algorithm based on compressed sensing was proposed. By discrete cosine transform, it fused images through weighted coefficient, recovered the fusion images by basic pursuit algorithm. Moreover, a recognition algorithm in compressed sensing was also studied, which obtained a sample matrix using preprocessing based on a wavelet transform, calculated the approximate coefficient by orthogonal matching pursuit, and made a classification using the with minimum distance formula. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms.
Digital Image Watermarking Algorithms Based on Dual Transform Domain and Self-Recovery
Authors: Yuefeng Zhu , Li Lin
Published: November 2017

In view of dual watermarking algorithm for dual two value image watermarking, the watermark information there is a gray image watermarking in the expression is obviously insufficient. The proposed embedded in the carrier image on the dual watermark includes a two watermark image and a gray image watermarking algorithm, the persuasive power while maintaining the original two values of the watermark robustness at the same time, improve the watermark information. In order to balance the robustness and invisibility of watermarking algorithm, this paper analyzes the embedding position and strategy of transform domain algorithms, the DC coefficient in the carrier image is divided into blocks of DCT spectrum and spectrum on the combination of DWT coefficient method and the advantage of embedded dual watermarking, and use the NEC characteristic of the algorithm is improved adaptive based on the embedded mode. The gray image watermark bit plane decomposition compression high four bit plane information as watermarking, in reducing the original watermark loading and enhance the overall strength of self recovery system. This paper from the working principle, classification of digital watermarking, attack types, performance index, evaluation method and uses six aspects were introduced to the digital watermarking technology. Simulation study of a digital image watermarking algorithm based on DCT transform and Arnold transform, the algorithm’s imperceptibility, robustness and security are analyzed, the algorithm for embedding process.
Acoustic-Phonetic Feature Based Dialect Identification in Hindi Speech
Authors: Sinha Shweta , Jain Aruna , Agrawal S. S.
Published: November 2017

Every individual has some unique speaking style and this variation influences their speech characteristics. Speakers’ native dialect is one of the major factors influencing their speech characteristics that influence the performance of automatic speech recognition system (ASR). In this paper, we describe a method to identify Hindi dialects and examine the contribution of different acoustic-phonetic features for the purpose. Mel frequency cepstral coefficients (MFCC), Perceptual linear prediction coefficients (PLP) and PLP derived from Mel-scale filter bank (MF- PLP) have been extracted as spectral features from the spoken utterances. They are further used to measure the capability of Auto-associative neural networks (AANN) for capturing non-linear relation specific to information from spectral features. Prosodic features are for capturing long - range features. Based on these features efficiency of AANN is measured to model intrinsic characteristics of speech features due to dialects.
Nodes Control Algorithm Design Based Coverage and Connectivity of Wireless Sensor Network
Authors: Zhouping Yin
Published: November 2017

Coverage and connectivity are two important problems in wireless sensor network. This paper focuses on the wireless sensor network communication radius in the high density of sensor nodes deployed randomly and two times smaller than the sensing radius; put forward a distributed k coverage multi connected node deployment algorithm based on grid. Simulation results show that the algorithm in this paper while guaranteeing the wireless sensor network coverage and connectivity can reduce the number of the active state nodes effectively, prolong the wireless sensor network lifetime. Theoretical analysis results show that this article nodes deployment algorithm achieves multi connected
Feature Selection Algorithm Based on Conditional Dynamic Mutual Information
Authors: Liping Wang
Published: November 2017

Aim at existing selection algorithm mutual information inaccurate valuation problem, a condition dynamic concept of mutual information. On this basis, the conditions proposed based on dynamic mutual information (CDMI) feature selection algorithm to overcome the traditional mutual information selection process dynamic correlation problem; conditions of dynamic mutual information throughout the selection process is dynamic valuation, those the samples can be identified after each selection features removed so that they no longer participate in conditional mutual information calculation process, accurate measurement sample. Accurate measurement sample on the degree of importance characteristics and at the same time ensure that the characteristics of information content. The experimental results verify the correctness and effectiveness of the algorithm.
Geometric Deep Particle Filter for Motorcycle Tracking: Development of Intelligent Traffic System in Jakarta
Authors: Gunawan Alexander A S , Jatmiko Wisnu
Published: November 2017

Intelligent Transportation Systems (ITS) is the combination of transportation systems with Information and Communication Technology (ICT). In Jakarta traffic, there is unique issue that does not arise in developed countries: very large number of motorcycles. Nevertheless, the enabling technologies for the detection, measurement, recording, and information distribution of motorcycle have not been fully developed in the existing researches. With the above considerations, we establish research which aimed to develop enabling technology especially in here for tracking motorcycle using camera.

This paper is presented our proposed tracker which called as Geometric Deep Particle Filter (GDPF) for tracking motorcycle using camera. The tracker is inspired by human visual perception which has nonretinotopic nature. Based on particle filter approach, our goal is to improve the transition model in order to overcome motorcycle maneuver. We will exploit this curved nature of the state space using geometric computing theory, such as Lie groups, and Lie algebras. A number of experiments have been conducted for this research, and it has been found that GDPF has achieved certain degree of success in object tracking.
Study on Image Compression and Fusion Based on the Wavelet Transform Technology
Authors: Ning Zhang , Jinfu Zhu
Published: November 2017

With the development of information technology, the rapid development of microelectronics technology, image information acquisition and use is also increasing, sensor technology also unceasingly to reform. A single sensor information obtained is limited, often can not meet the actual needs, in addition, different sensors have the advantage of the imaging principle and its unique, as in color, shape characteristics, band access, spatial resolution from the aspects of all have their own characteristics. Registration algorithm is proposed in this paper has better robustness to image noise, and can achieve sub-pixel accuracy; the registration time has also been greatly improved. In terms of image fusion, the images to be fused through wavelet transform of different resolution sub image, using a new image fusion method based on energy and correlation coefficient. The high frequency image decomposed using new energy pixels of the window to window energy contribution rate of fusion rules, the low frequency part by using the correlation coefficient of the fusion strategy, finally has carried on the registration of simulation experiments in the Matlab environment, through the simulation experiments of fusion method in this paper can get the image fusion speed and high quality fast fusion image.