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Paper ID: 506

Resource Allocation in Multi-User Distributed MIMO-OFDM Systems with Limited CSI Feedback

zheng nae, Wang Sheng, Wang Daming, Cui Weijia,

email

Recent academic studies of resource allocation in multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems is mainly for conventional centralized systems and without considering the characteristics of distributed systems. We propose a new resource allocation algorithm called multi-user Nash Bargaining Solution-based antenna & sub-carrier allocation (MNBSASA) algorithm in this paper. The proposed algorithm takes advantages of the structure characteristics of distributed MIMO-OFDM systems and introduces Nash Bargaining Solution Fairness into the resource allocation process, allocating antennas and sub-carriers in parallel via the cooperation between antenna ports and users. Simulation results show that it can promote both the fairness among users and the resource allocation efficiency dominantly. Furthermore, it requires limited channel state information (CSI) feedback rather than all as in most previous algorithms, which can cut down the feedback overhead for the systems.

Paper ID: 508

Approximate Jacobian Control of Robot Manipulators without Joint Velocity Measurements

Xinwu Liang, Xinhan Huang, Min Wang,

Huazhong University of Science and Technology Dept. Control Science and Engineering

So far, all of the approximate Jacobian controllers for robot
manipulators proposed in the literatures have assumed that the exact
joint velocity measurements are available. In this paper, we propose
alternative controller designs without the use of joint velocity
measurements. To provide the joint velocities used by the
controllers, we introduce the well-known sliding mode observers to estimate the robot manipulator states. In addition, Lyapunov analysis is
presented to show that the combined controller-observer designs can
achieve asymptotical stability in the sliding patch. Simulation
results are also presented to show the performance of the proposed
methods.

Paper ID: 512

Things EPC multi-objective logistics scheduling system

Lianning Li,

City College of Xi'an Jiaotong University

Research project is aimed at Things EPC networking environment, attempt to resolve the best transportation vehicle routing scheduling problem. To meet the needs of modern logistics and distribution, based on a neural network software (Savant) middleware to simultaneously read multiple items with EPC-encoded data, through the use of path scheduling particle swarm optimization, data mining, GIS, geographic information systems technology, research and achieve a multi-objective transportation scheduling system for vehicle routing. After simulation testing and verification, proven the system to achieve intended results of optimal path scheduling.

Paper ID: 521

Blind Source Separation Based on Multiset Canonical Correlation Analysis

Yu Hua-gang,

College of Electronic Engineering Naval Univ. of Engineering, Wuhan, China

To solve the problem of blind source separation, a novel algorithm based on multiset canonical correlation analysis is presented by applying the theory of canonical correlation multivariable statistical analysis. In contrast to higher order cumulant techniques, this algorithm is based on second order statistical characteristic of observation signals, can blind separate super-Gaussian and sub-Gaussian signals successfully at the same time without adjusting the contrast function. The restriction of this algorithm is not too much and the implementation of it is simple with a small amount of computation. Simulation results confirm that the algorithm is efficient and feasible.

Paper ID: 524

Design of A Spread Spectrum Communication System Based on DSP

He Huang, Zhao Chunhui, Liang Yan, Pan Quan,

Automation College

Direct sequence spread spectrum technology is applied widely in wireless communication because of its merits, such as anti-interference ability, good concealment, and being easy to realize Code Division Multiple Access. A Direct sequence spread spectrum communication system based on DSP is designed in the paper, including baseband processor, intermediate frequency modulator/demodulator, local oscillator, up/ down converter, keyboard, LCD monitor and DSP controller, etc. The experiment result of transmission shows that the direct sequence spread spectrum system disigned can realize effective data transmission and anti-interference communication with advantages of high data transmission rate and wide spectrum range.

Paper ID: 529

Study on Stewart Platform Control Method Based on Model Reference Adaptive Control

Jian Xue,

BUAA

For the benefits such as strong structural stiffness and high movement accuracy, Stewart platform has been widely used in industry. This paper presents a control method, which is based on the theory of model reference adaptive control, aiming to solve the control difficulties of the Stewart platform system, which is multivariate, highly nonlinear and multi-parameter coupled. Taking Narendra’s model reference adaptive control method as the theoretical basis, this control method doesn’t differentiate measured values, but compare the system output and reference model, and change the system parameters adaptively to make the system output move closer to the reference model. This method can effectively eliminate the asymmetry of asymmetrical cylinders, and has robustness for the load force disturbance. Computer simulations and experiment results show that this method enables the system to obtain a good dynamic performance.

Paper ID: 530

Ordinal Isolation: An Efficient and Effective Intelligent Outlier Detection Algorithm

Chen Gang,

Yu-Li Cai

Outlier detection plays an important role in intelligent cyber systems, especially for fault-tolerant and adaptive ones. Traditional algorithms always need to evaluate distances or densities, which are very time-consuming. On the increasingly urgent demand for real-time, during past years, various novel algorithms have been proposed. They are much faster, but less stable and accurate. To cope with these problems, with the main idea of ordinal optimization and the `few and different' characteristics of outliers, by introducing the concept of outlier probability, we propose the ordinal isolation algorithm, which extracts outliers in terms of the order of being isolated in a recursive uniform data space partition process. It need not distance or density evaluating, and the complexity is reduced to O(n). Experiments show that, the CPU time of ordinal isolation increases linearly with linearly growing data sets. Furthermore, comparing with recent iForest algorithm, ordinal isolation is about 30 times faster, with a 20% to 30% improvement in accuracy, and especially is much more stable. Ordinal isolation also has good scalability, so it works well in high-dimensional problems which have a huge number of instances and irrelevant attributes.

Paper ID: 534

Secure Transmission Mechanism for Networked Control Systems under Deception Attacks

Zhong-Hua Pang, Guo-Ping Liu, Geng Zheng, Chun-Xiang Luo,

Chinese Academy of Sciences

With the rapid developments in computer, communication and control technologies, the networked control systems (NCSs) have been a growing trend in industrial automation systems for the purposes of distributed management and control. This paper addresses the security issues of data transmitted in NCSs under deception attacks, especially confidentiality, integrity and authenticity. Deception attacks can deteriorate the system performance or even destabilize the system. To protect NCSs from them, a secure transmission mechanism is presented in this paper, which integrates the Data Encryption Standard (DES) algorithm, Message Digest (MD5) algorithm, and timestamp strategy. DES is used to encrypt and decrypt the data exchanged between the controller side and the plant side. The MD5 algorithm and the timestamp are applied to check the data integrity and authenticity. Practical experiments to control the speed of a DC motor through the Internet have been carried out to demonstrate the feasibility and effectiveness of the proposed approaches.

Paper ID: 541

Iterated Cubature Kalman Filter and its Application

Yuan-li Cai, Jing Mu,

Xi\'an Jiaotong University

We present the novel iterated cubature Kalman filter (ICKF) in which the measurement update of square root of cubature Kalman filter (SR-CKF) is refined to iterate process for fully exploiting the latest measurement so as to achieve the high accuracy of state estimation. The ICKF is implemented easily and inherits the virtues of SR-CKF. We apply ICKF to state estimation for reentry ballistic target with unknown ballistic coefficient. Simulation results indicate ICKF outperforms over the unscented Kalman filter (UKF) and SR-CKF in state estimation accuracy.

Paper ID: 547

Standardization and Portability of WSN MAC Layer API

Song Yin, Ping Xia, Jiaxiang Wang, Jiemin Zhou,

Anhui Agricultural University

Portability could be achieved using the design of abstraction layer in developing applications for Wireless Sensor Networks (WSN), whereas it was decreased by the various stack API versions. A UML generalization relationship could be created for the standardization of IEEE 802.15.4 MAC layer API, which implemented the interfaces and encapsulation about MCPS and MLME primitive to establish the function definitions and the function map of the existing APIs. To the issues of validity of acknowledgement, the stack was fine tuned about the indirect data transactions, which improved the message delivery and merged the difference of various stacks by the standardization. The rapid migration could be realized within different hardware platforms.

Paper ID: 553

GPS Integrity Prediction Algorithm Analysis

chengjun guo,

UESTC

Integrity is one of the four technical specifications in satellite navigation system. To consummate the integrity monitor theory, a novel thought that forecasts integrity by pseudo-ranges prediction was tentatively put forward, and its theoretic foundation was analyzed. Then considering the applicability problem and prediction precision for the traditional prediction models, based on the anatomy of satellite orbits, pseudo-ranges and integrity, the basic ideas, prediction models and steps of integrity prediction based on grey prediction theory were discussed respectively. To validate the feasibility and validity of the proposed method, make a careful precision analysis for pseudo-ranges prediction, experimental results showed that the proposed model had higher precision of prediction and better applicability. And based on pseudo-ranges prediction, by comparing prediction data with the theoretic pseudo-ranges, we can tell the ‘wrong’ satellites accurately, this can be regarded as reference for receiver autonomous integrity monitoring, and afford elements to exclude fault satellites better and position more accurately.

Paper ID: 564

Research On Auto-monitoring System For Cold Storage Temperature based

xu fang,

School of Mechanical and Electronic Engineer Electrical engineering institute

Cold storage is responsible for agriculture, livestock, aquaculture and other perishable food and drinks and some industrial raw materials and other goods processing, which is the necessary facility for storage tasks and an important part in commodity circulation. Temperature of food preservation is an important parameter. This article provides a very suitable for cold storage temperature automatic inspection equipment, which can be online multi-point temperature of the refrigerator alarming, real-time recording, many ways to query, time printing. The system has a friendly interactive interface, easy operation, and good practicality.

Paper ID: 576

Challenges in Data Management for Cyber Physical System

Eric Ke Wang, Yunming Ye, Siu-Ming Yiu, L.C.K. Hui, K.P. Chow,

Harbin Institute of Technology Shenzhen Graduate School

In this paper, we investigate the challenges and issues of data management in cyber-physical systems (CPSs). (1) We abstract the general workflow of CPSs, (2) identify the characteristics of data, possible issues in data management and a set of challenges that need to be addressed; (3) then we point out the key technologies for data management of CPS; (4) finally we propose a data management framework for cyber-physical systems and suggest some potential research areas and problems.

Paper ID: 581

Study and Simulation of Semi-Active RFID Tags Using Piezoelectric Power for Temperature Sensing

Chu Hequn, Wu Guangmin, Chen Jianming, Zhao Yumei,

Faculty of Science and Technology KMUST

RFID has found many applications in internet of things (IOT) in the past decade. But the semi-active RFID tag with battery limits its applications in many fields because it must obtain operating power by battery. Because battery is sensitive to environment and its lifetime is limited, integrated battery can cause many problems in applications. Hence, its applications are restricted in a great extent. For these reasons, our research aims at a kind of battery off RFID. This paper presents a design of RFID tag with Piezoelectric Power Supply (PPS) for moving temperature sensing. We call this system PPS-RFID. The PPS-RFID can be used in many fields, especially for recording temperature in a moving process without external power supply. This paper also proposed the circuit of the PPS-RFID for moving temperature sensing. This paper emphasizes the design and simulation of PPS. By our test, 0.242 micro watt of power of PPS was achieved at 1 Hz vibration and 650 Newton pressure force. The results showed that the integrated PPS can supply sufficient power for designed PPS-RFID tag, which can be used in temperature monitoring in a moving process such as temperature limited bio-medicine transportation.

Paper ID: 587

An Indoor Location-based Access Control System by RFID

Xin-fang Zhang , Mingwei Fang, Jun-jun Wu ,

Huazhong University of Science and Technolog

With the rapid development of wireless and mobile network, traditional access control mechanisms face the new security risk that access data at any place may lead the leakage of the confidential data or bring new attack to the server. Location based access control is proposed to authorize user by consideration the location information of the user. In this paper, a novel indoor access control system is presented to protect the data security in mobile storage device. An Active tag is embedded into the storage device to implement location based access control. We make use of the limited penetration of RF signal to build the security zone, and get user's location information from the tag and the reader. In order to protect the system and carry out authorization, an authenticate protocol is proposed. The protocol can ensure the anonymity of the tag, and protect the confidential of the data to prevent spoofing attack and replay attack. More important, our system can authorize the user according to user's location information.

Paper ID: 591

Dynamic Speaker Clustering Algorithm Based on Minimal GMM Distance Tracing

Luo Hai-Yu, Li Yan-Xiong, Wang Zhi-Feng, He Qian-Hua, he jun,

South China University of Technology

In the field of speaker clustering, most of the clustering algorithms rely heavily on the pre-given thresholds, which is hard work to get the optimal values. This paper proposed a speaker clustering algorithm based on tracing the minimal Bhattacharyya distance between two Gaussian Mixture Models (GMMs) , without any pre-given thresholds. In the procedure of clustering, if utterance set A and B has the minimal distance, utterance B is regarded as suspicious set whose utterance may come from the speaker of A. And then, two stage-verification is used. First, a comparative likelihood is used to verify whether the suspicious set B is generated from the speaker or not. Second, a comparative likelihood for each utterance in set B is used to judge whether it is produced by the speaker of set A or not. If the utterance is from the speaker of set A, we move the utterance of set B to set A. And then the models of utterance set A and B are updated. Repeat the above two stages until each speech set is not changed. Experiments, evaluated on Chinese 863 speech database, give 68.97% average cluster purity(ACP) , and classification error ratio(CER) is 39%. On the other hand, CER of the K-means and the Iterative Self-Organizing Data Analysis (ISODATA) with the optimal thresholds give 35% and 38% respectively.

Paper ID: 594

Design of A Hybrid PV/UC/Batteries System

Longyun Kang, Jianming Xu, Yanning Zhang,

Xi’an Jiaotong University

This paper proposes a hybrid power system of electric vehicle based on photovoltaic cells/ultracapacitors /batteries. The research shows that the maximum power point of PV panel is tracked and the sharp current is reduced because of the combination of high power density of UC, also the performances of vehicle start-up are improved as a result.

Paper ID: 596

A novel Ultra-wideband weighted ATR receiver based on MMSE estimation for localization applications

Gang YANG,

Xi'an University of Posts&Telecommunications

Impulse ultra-wideband (UWB) system has accurate localization as well as low to medium rate communication, so it is especially suitable in many emerging cyber sensor network applications which often need localization services. Due to implementation complexity concerns, UWB transmitted-reference (TR) receivers become a good choice for above applications recently. In this paper, considering the multipath components segment distribution characteristic of UWB received signals, a novel UWB weighted averaged TR receiver based on minimize-mean-square-error (MMSE) estimation is presented by using segmentation-weighting-combination idea. Those segments which hold the intensive multipath signals are given the bigger weight coefficients, so that more useful multipath energy are captured meanwhile the noise product term is highly suppressed, thus the bit-error-rate (BER) performance of the receiver is efficiently improved. The suitable weight coefficients are obtained by using MMSE estimation via training data sequence. This receiver was analyzed in theory and simulated in IEEE CM3 indoor multipath channel. The results show that it has superior detect performance compared with a common averaged TR receiver. The receiver can be used for a lot of cyber sensor network applications with localization capability.

Paper ID: 600

Inter-turn Short Circuit Fault Detection Based on Symbolic Time Series Analasys

Hu Wei, Gao lei,

Shenyang Aerospace University

An inproved method of inter-turn short circuit fault of motor detection based on symbolic time series analysis is proposed, and the method adaptively partition off the region which has the most symbols in the symbolic series into two new regions. The method makes that the regions with more information are assigned more symbols relatively but those with sparse information are assigned fewer symbols, which enhances the sensitive degree of symbols to the signal. Laboratory experiments of fault diagnosis of inter-turn short circuit for inductive motor show that comparing with the uniform partition, the new method is more sensitive to the system and also owns a stronger robustness and a better reliability

Paper ID: 601

The RFID-based Vehicle Security Monitoring and Management System

Chen Bing,

The 3rd Research Institute of MPS Tongji University

With the development of the technology and industry of the Internet of Things, the application of the Internet of Things has been one important task for the further development of information construction in China. And the paper presents the RFID-based vehicle security monitoring and management system of the Internet of Things to assure the real-time monitoring and security management in the process of the vehicles through the gates and the vehicle’s united management, and designs the security implementation of the application of the Internet of Things, and discusses the key technology including super high frequency RFID and boundary security network gateway protection, and it can broadly apply to the united security monitoring and management of the vehicles, and the system has been primary implemented and achieved good effects in actual applications.

Paper ID: 604

An adaptive filtering method to improve measurement accuracy of walking robot attitude

Sheng Bi,

South China University of Technology

The objective of this work is to improve the measurement accuracy of robot attitude with an adaptive filter method. Two main topics are highlighted in this work. The first topic is to build the Kalman filtering fusion equation of the acceleration and angular velocity (gyroscope) sensors. The second topic is to show that a Suge-husa adaptive Kalman filtering method is simplified and improved for the system, and an adaptive R is realized, then the exact attitude information is achieved. The experimental result is presented to show that the Suge-husa adaptive Kalman filtering method outperforms the traditional Kalman method in this paper in terms of noise reduction.

Paper ID: 619

A Novel Congestion Detection and Avoidance Algorithm for Multiple Class of Traffic in Sensor Network

Liqiang Tao, Feng Qi Yu,

Institute of Computing Technology,CAS

Congestion in a Wireless Sensor Network (WSN) can cause missing packets, low energy efficiency, and long delay. Moreover, some applications, e.g. multimedia and image, need to transmit large volumes of data concurrently from several sensors. These applications have different delay and QoS requirements. Congestion problem is more urgent in such applications. To address this challenge, we propose an energy efficient congestion control scheme for sensor networks called ECODA (Enhanced Congestion Detection and Avoidance) which comprises two mechanisms: (i) Use dual buffer thresholds and weighted buffer difference for congestion detection; (ii) Dynamically estimate channel loading and optimize channel utilization; Simulations show that ECODA achieves efficient congestion control and flexible weighted fairness for different class of traffic. Therefore it leads to higher energy efficiency and better QoS in terms of throughput, fairness, and delay.

Paper ID: 630

The Controllability and Observability of the Event-based Control Nonholonomic System

YiBin chen,

State key Laboratory of Robotics

This paper presents a new event-based control model for the driftless nonholonomic system to overcome the effects of time delay. In this paper, we mainly investigate the controllability and observability property of event-based control system to the class of nonholonomic kinematic system. Using the controllability distribution and observability co-distribution conception in derivative geometry theory, we give a prove about the controllability and observability property of event-based control nonholonomic system and know that the new motion reference doesn't change the controllable and observable property of the original system with time as its motion reference when some conditions are satisfied. Some simulations with no time delay and random time delay are conducted, in which we make a two wheel driven car-like robot to track sine path and a circle. The simulation results show that the conclusion and the control methods are good and some advantage when facing the time delay in the system.

Paper ID: 636

A Framework of Fuzzy Dynamic Scheduling for MPSoC Architecture

Da Li,

Xi’an Jiaotong University

This paper studied the real-time dynamic scheduling with inaccurate and uncertain characteristics on MPSoC systems. A fuzzy set model of MPSoC system is established first. The authors propose a new dynamic fuzzy heuristic scheduling to solve the scheduling problem and improve the multiple performances. The authors demonstrate through the experiments that the multi-fuzzy scheduling algorithm is an effective approach and it outperforms other original algorithms comprehensively.

Paper ID: 637

Codesign of Networked Control Systems: A Review from Different Perspectives

Jiafu Wan, Hehua Yan,

South China University of Technology

Networked control systems (NCSs) are characterized by sharing a communication network between sensors, actuators, and controllers, which involves several subjects such as control, communication, and computer sciences. To achieve the optimized system performance in unpredictable environments, a novel methodology, codesign among several subjects, is emerging in the context of integrating control, computing, and communications. The aim of this work is to provide a better understanding of this emerging methodology. Relevant research efforts from different perspectives are concisely discussed by being classified into three categories, i.e., CPU resource scheduling, network bandwidth allocation, and advanced control. Then the tools supporting codesign of NCSs are summarized. The codesign methods can be extended in many directions, and some suggestions for future work are also outlined.

Paper ID: 648

Design and Verification of AA-Service System Based on Narrow Bandwidth System

Jijun SHI, Shuhua SONG, Chengqi CHENG, Fang MIAO,

peking University

To meet people requirement about environment around them, remote sensing images play an important role. But at present, remote sensing images are served in the term of scenes or map sheets. When the information of some place is wanted, remote sensing images should be handled, such as cutting, stitching, and integrating, and so on. So, with the limited terminal computing resource, it would spend lots of time in operating those handles. All of these may reduce the efficiency of remote sensing images. Especially in some serious occasions, for instance Wenchuan earthquake, it would be difficult to get remote sensing images. Combining features of all weather and all time of Beidou navigation and positioning satellite and bidirectional communication ability, this paper proposes a method about remote sensing image anytime and anywhere service(AA-Service) by short message system of Beidou navigation and positioning system under global subdivision model based on extended mapping–division (GSM-EMD) theoretical framework. It also designs the framework of AA-Service system. In the end, it puts forward the simulation system of AA-Service test results which indicate that the AA-Service system gets required targets and is of applied value and the method is feasible.

Paper ID: 651

Research on Kinematics of Modular Reconfigurable Robots

Xinan Pan, Hongguang Wang, Yong Jiang, Cen Yu,

Shenyang Institute of Automation Graduate School of the Chinese Academy of Sci

This paper mainly focuses on the kinematics of multi-branch modular reconfigurable robots. A method of generating the forward kinematics is proposed. Firstly, the robot is divided into joints and links, which are formed dyads subsequently. Secondly, module frames are defined and attached to each connector of modules. Thirdly, based on screw theory and Lie group and Lie algebra, the initial poses and twists of a multi-branch robot are obtained, and the kinematic equations of the robot are derived. An illustrative example and an experiment are implemented, respectively, and the results show that the method is valid and suitable for both single-open-chain robots and multi-branch robots.

Paper ID: 654

Design of wave height acquisition and data transmission system

Shoujun Wang, Liu Nan,

Tianjin University of Technology

In this paper, a specific method is presented for collecting wave height in the experiment of wave simulation, which includes sensing element constructional drawing, derivation of formula, detailed schematic and SCM (single-chip microcomputer) program. The principle of measuring system is based on the difference of relative permittivity of water and air, which is response to changes in wave height. Then the original signal is converted by 555 timer and SCM to digital and sent to the host computer to store and display. According to the practical test, the system is stable, expeditious and accurate highly.

Paper ID: 664

Consensus-Based Cooperative Spectrum Sensing with Improved Robustness

Quan Liu, Jun Gao, Yunwei Guo, Siyang Liu,

Naval University of Engineering

Based on the consensus algorithm, an attack-proof cooperative spectrum sensing (CSS) scheme is presented for decentralized cognitive radio networks (CRNs), where a common fusion center is not available and some malicious users may launch attacks with spectrum sensing data falsification (SSDF). Local energy detection is firstly performed by each secondary user (SU), and then, utilizing the consensus notions, each SU can make its own decision individually only by local information exchange with its neighbors rather than any centralized fusion used in most existing schemes. With the help of some anti-attack tricks, each authentic SU can generally identify and exclude those malicious reports during the interactions within the neighborhood. Compared with the existing solutions, the proposed scheme is proved to have much better robustness against three categories of SSDF attack, without requiring any a prior knowledge of the whole network.

Paper ID: 668

The High-precision Real-time Detection and Balance Evaluation System for Gravity Center of Human

Jinzhuang Xiao, kun liu, Zheng Gao, Wenge Yang,

CEIE, Hebei University

This paper is based on the principle of detecting the sway projection path of the body gravity center in the horizontal plane. The aim is to obtain a stable, real-time data of human gravity center, as well to analysis and evaluate the level of body balance ability objectively and accurately. A detection platform is designed and developed with three pressure sensors, and ATmega128 microcontroller is used as a main control unit for the embedded detection system. In addition, the embedded system includes a independent circuit with low-pass filter and amplification functions. The embedded detection system achieves accurate, real-time sensor data and calculates the sway trajectory coordinates of the body gravity center by the procedures in ATmega128. Then the embedded detection system sends the data to the host computer through the serial processing software, to determine the center of gravity of body. Finally the coordinates is analyzed and displayed on the interface. The system can be used partly for static rehabilitative training program.

Paper ID: 677

A Survey of Cyber Physical Systems

Jiafu Wan,

South China University of Technology

Cyber Physical Systems (CPSs) are characterized by integrating computation and physical processes. The theories and applications of CPSs face the enormous challenges. The aim of this work is to provide a better understanding of this emerging multi-disciplinary methodology. First, the features of CPSs are described, and the research progresses are summarized from different perspectives such as energy control, secure control, transmission and management, control technique, system resource allocation, and model-based software design. Then three classic applications are given to show that the prospects of CPSs are engaging. Finally, the research challenges and some suggestions for future work are in brief outlined.

Paper ID: 682

Metal Hydride Air Conditioning of the Waste Heat of Automobile Engine Coolant Driving

Yan Li L, N xl,

zhengzhou university of light industry

Aiming at developing metal hydride air-conditioning system driven by the waste heat of automobile engine coolant, the principle of metal hydride air-conditioning system was introduced and a hydride pair LaNi4.5Al0.5/LaNi5 was developed working at 363 K/303 K/283 K. the working cycle was described in detail. the values of characteristic parameters of the metal hydrides used in the system were also given.

Paper ID: 688

A Real-time Cardiac Arrhythmia Classification System with Wearable Electrocardiogram

Jindong Tan, LIANG Wei,

Shenyang Institute of Automation, CAS

Long term continuous monitoring of electrocardiogram
(ECG) in a free living environment provides valuable
information for the prevention on the heart attack and other
high risk diseases. Most of the existing devices provide ECG
recording in a hospital setting or off-line ECG diagnosis. The
design of a real-time wearable ECG monitoring device with
cardiac arrhythmia classification system is discussed in this
paper. In this system, the wearable sensor node monitors the
patient’s ECG and motion signal in an unobstructive way that
the patient’s daily life will not be affected. ECG analog frontend
and on-node processing are designed to remove most of the
noise and bias, which guarantees an clean and reliable ECG
waveform. The ECG waveform is digitalized by an analog-todigital
convertor and transmitted to a smart phone via bluetooth.
On the smartphone, the ECG waveform is visualized and a
novel layered hidden Markov model is implemented to classify
multiple cardiac arrhythmias in real time. This paper evaluates
the performance of the hardware design and the classification
algorithm.

Paper ID: 698

Sub-pixel Edge Detection Method in Work Piece Image

Chen yang,

Hebei University of Technology

This paper presents a novel sub-pixel edge detection techniques based on the features of high precision and shorter computing time. Canny edge detection operator was used in pixel level edge detection. In the gray image, a rectangular area by 5×5 pixels around every edge points was detected, and a second-degree curve was fit using the difference of gray value. So the first derivative of this curve is the coordinates of sub-pixel level edge detection in the image. The experimental results indicate that this method have higher anti-noise performance, and high inspection accuracy.

Paper ID: 701

Development of Microfluidic Based Telemedicine for Insulin Detection

Ping Yao, Steve Tung,

University of Arkansas

This article describes a prototype microfluidic system for insulin detection and exchanging the results digitally with physicians located off-site. The integrated polydimethysiloxane (PDMS) microfluidic system uses two pneumatic micropumps and one micromixer for chemiluminescent immunoassay, and a developed communications infrastructure for transferring the digital information from the assay site to a remote place for assistance by a trained medical professional. The expert can then directly provide control and diagnosis via the Internet. The insulin detection protocol is based on coupling the highly specific double-antibody sandwich immunoassay with the sensitive chemiluminescence of Luminol-Hydrogen Peroxide (H2O2). The peak value of the luminous intensity, recorded automatically by a photometer, is used as an indicator for the insulin concentration of the sample tested. The calibration curves of the insulin measurement were quantified and the insulin detection limit meets the common requirement of current clinical studies of diabetes. The combination of PDMS microfluidic devices and a communication strategy for exchanging information obtained from the assays with off-site diagnosticians offers new opportunities for point-of-care type health monitoring, especially in rural areas where patients must travel great distances to physicians to obtain diagnostic information that might be obtained more cost effectively by local, less-trained personnel.

Paper ID: 709

Selective Method of Wavelet Basis Function and Application in Signal Processing of EGG

Yuechao Wang, Hongyi Li, Ning Xi, Lei Miao, Shujia Qin, Wei Ding,

Ding Wei

In this paper, signal energy, information entropy and joint entropy were analyzed to introduce general selective method of wavelet basis function, and these methods was applied in slow wave diagnosis of electrogastrogram(EGG). In order to verify the rationality of evaluation criteria, EGG signals were processed and filtered with different wavelet basis function in the experiments. Experimental results show that db9 wavelet could achieve the most energy of filtered signal, by the EE/ET composite index, db5 wavelet function could achieve the best result. Meyer wavelet could realize the most similar index. Power spectrum of EGG was used to prove the effectiveness of selective method of wavelet basis function, and effective selection criteria were also provided to select wavelet basis function in wavelet transform.

Paper ID: 711

A New Fusion Image Quality Assessment Based on Edge and Structure Similarity

Junyao Liu, Huijing Wang, Wen Qin,

Shenzhen Institute of Information Technology

The quality assessment of fusion images is of fundamental importance for most image fusion applications. Piella proposes a quality metric for image fusion based on structural similarity but it has been proved not so good in some cases. In this paper we present a novel objective fusion image quality index which is also very easy to calculate and applicable to various image fusion processing applications. Statistics by many experiments, we find that in most cases when the edge image of fused results are closer to the addition result of the two original edge images, it can express better visual effects. So, we introduce the edge information and the corresponding addition result into the assessment and calculate the whole index based on the ideal edge structure both in part and unity. Experiments demonstrate that the new assessment maintains better consistency with human subjective perception.

Paper ID: 712

Data Integration of Heterogeneous System Based on SOA

shen qi, li shichang,

software college

With the rapid development of enterprise informatization,enterprise urgent need for integrate the internal heterogeneous system of data in order to achieve information sharing. While the SOA offer a good solution for this problem. This paper analyzes the advantages of SOA in heterogeneous system data integration, and proposes a framework for data integration based on SOA.

Paper ID: 714

Generation of Test Data Based on Genetic Algorithms and Program Dependence Analysis

rong jin, shujuan jiang, hongchang zhang,

China University of Mining and Technology

A novel approach to generating test data for branch testing is presented. First, we propose an approach to decrease the number of branches which should be tested by branch selection based on CDG (control-dependence graph) and priority assignment. Then, we present path selection algorithm to obtain the path constraints, which are relatively easier for test data generator based on GA (Genetic Algorithm). Finally, the technique transforms the path constraints into the appropriate fitness function, and then GA is used to generate multiple test cases. Comparing with existing approaches based on GA, the proposed approach can effectively improve the efficiency of program coverage and test data generation

Paper ID: 715

An improved algorithm for computing 2P+Q on elliptic curves

Chunming Tang, Maozhi Xu, Yanfeng Qi,

Peking University

In this paper we propose an efficient algorithm for computing $2P+Q$ on elliptic curves. We also analyze this algorithm and improve the computation of point multiplication with our algorithm.

Paper ID: 717

A water quality monitoring system based on wireless sensor network & solar power supply

Yue Ruan, Ying Tang,

Zhejiang Shuren University

This paper presents a water quality monitoring system using wireless sensor network (WSN) technology and powered by solar panel. In order to monitor water quality in different field sites and in real-time, a novel system architecture constituted by several distributed sensor nodes and a base station is suggested. The nodes and base station are connected using WSN technology. A prototype system using one node powered by solar cell and WSN technology is designed and implemented. Data collected by various sensors in the node side such as pH, turbidity and oxygen density is sent via WSN to the base station. The system has advantages such as low carbon emission, low power consumption, more flexible to deploy and so on.

Paper ID: 721

Application of Grey System Theory in Fault Diagnosis of Shearer

bin zhou,

University of Mining &Technology

In order to improve the reliability of remote monitoring system of shearer and overcome the “passivity” and “hysteresis” in fault diagnosis of shearer, the paper used grey system theory and metabolism prediction model of GM(1,1) in the prediction of shearer’s important parameters, and realized “foreseeable” fault diagnosis of shearer. The result of Matlab simulation showed that: the predicted curve of left cutting motor’s temperature was agreement with practical temperature very well; The simulation experiment successfully predicted overtemperature alarm of left cutting motor on 170s in advance and avoided the occurrence of motor fault.

Paper ID: 727

Dynamic Monitoring of Mine Hoist Braking System Based on PLCs

Chi Ma, xingming xiao, qian wang, Xiao-fang Xing,

CMEE of CUMT

In order to ensure the reliability and security of the mine hoist, the typical fault mechanism of braking system is analyzed by establishing brake performance analysis models. The fault analysis tree is constructed by the theory of Fussell-Vesely and the method of how to monitor fault parameters is discussed. The industrial test results indicate that some malfunction, such as lack of braking effort, failure of disc spring and block of hydraulic cylinder can be found by the run parameters of brake. Finally, the equipment is developed using the PLCs, which makes dynamic monitoring of hoist braking system come true.

Paper ID: 729

Design of Intelligent Lighting Control System

Dengfeng Li, Yunting Bai,

chang'an university

In order to deal with the shortcoming of poor light effect in the scene control, a new intelligent lighting control system was designed based on the CIE gamut standard and the dual-CPU Embedded System Architecture. By employing light adjustment of the multi-colored LED, color control and scene settings of the assembled light, the intelligent lighting control system with the graphic user interface and the touch-control technology is designed and realized. Besides the easy operation, the flexible and reliable control makes the system widely used in the entertainment places, such as hotel, chamber, office building, urban landscape, etc.

Paper ID: 730

A Multiple Camera Coordination Method Based on Genetic Programming and Material Character

Wan-Li Kang, Zhen-Hui Song, li zhao,

xi an university of technology

Aiming at the multiple cameras cooperating in a surveillance system, a tracking optimization method based on genetic programming and material character is proposed. Firstly, a physics parameter—orbit, which can be used to describe character of some material is defined. Secondly, the central line of the orbit and radius is gained by genetic programming. Thirdly, distinguish the pixel belong to the material with the orbit. In this way, we can coordinate multiple cameras in a surveillance system. Experiment results demonstrate that the algorithm is simple, effective, to solve the problem of multiple camera cooperation in a surveillance system.

Paper ID: 734

Stability Analysis for Internet Based Teleoperated Robot Using Prediction Control

Dan Chen, Xusheng Tang, Ning Xi, Yuechao Wang, Hongyi Li,

Fuzhou University

The variable time delay and the packet loss degrade the performance of Internet based teleoperation system seriously, even make the system unstable. Building upon the results of our recent work in [1], a provably stable event-prediction based control strategy is proposed for variable delay teleoperation. A Path Governor(PG) at master site, Generalized Predictive Controller (GPC) at slave site and a model of variable delay within a predictive control frame work are used to improve the response transparence. A Sparse Multivariable Linear Regression (SMLR) algorithm is proposed to predict the next Round Trip Timedelay(RTT). According to the next RTT, the PG is designed to generate the future event which can be used to compute the robotic position that is the one when the command was transmitted to the slave robot. The GPC can generate the redundant control information to diminish the influence of the packet loss and the large time delay in the internet to the system. Finally, a Lypunov-based analysis of the performance and stability of the resulting system is presented. Experiment results with a wheeled robot teleoperation setup demonstrate that these strategies can dynamically compensate for the variable time delay and reduce the performance degradation induced by packet loss.

Paper ID: 735

Novel Transmit Diversity Approach Combining SFBC and CDD in LTE-Advanced System

CAI Shengbing, Yong ZhANG , Zhe-min DUAN ,

Xi\'an Jiaotong University

This paper addresses a novel open-loop transmit diversity transmission scheme combining space-frequency block coding with cyclic delay diversity for MIMO-OFDM systems, particularly for the downlink of LTE-advanced system to exploit full diversity freeing of adding extra overhead of pilot sequence, which is anticipated widely deployed in the near future. The combination of SFBC and CDD is able to introduce additional time diversity and hence significiant gains from the spatial, frequency, time diversity gains can be efficiently exploited associated with it. Furthermore, for eight transmit antenna case, numerical simulation results under different modulation modes and coding rates scenarios are given to show that the proposed scheme outperforms previous schemes such as pure quasi-orthogonal space-frequency coded OFDM (QO-SFBC) and CDD scheme in terms of block error rate (BLER) and therefore the new scheme enables transmission reliability and coverage without significiantly increasing system complexity.

Paper ID: 736

Identifying the Mean Vector of Bivariate Process

Yongman Zhao, Zhen He, Shuguang He,

Industry Engineering

Control charting is the most important part of implementing SPC. However, this usually makes some incorrect control limits in multivariate setting when the variables are highly correlated. This study proposes the joint X-bar charts identifying the directions of out-of-control variables about bivariate when the joint non-central chi-square statistic (NCS) charts monitor the mean shift in bivariate control chart. Firstly the joint NCS charts can detect the variable or group of variables that cause the signal and then the joint X-bar charts recognize the direction(s). Once the joint NCS charts and the proposed charts signal simultaneously, the user can be provided more details of the out-of-control variable. That makes technician and/or engineering analyze and correct them more conveniently and speed up the research about monitoring and diagnosing of multivariate process.

Paper ID: 740

Workspace Optimization of the 3-SPS(UP) Parallel Manipulator

Kunquan Li, Rui Wen,

Henan Institute of Engineering

This paper presents the workspace optimization of the 3-SPS(UP) parallel manipulator. In order to obtain a higher global condition index and a larger workspace volume, the inverse kinematics and Jacobian matrix of this mechanism are analyzed. The validity of workspace optimization is verified by the simulation result. The paper’s work establishes the basis for application of the 3-SPS(UP) parallel manipulator.

Paper ID: 743

A Novel Fast and Effictive Video Retrieval System for Surveillance Application

Keqing Shi, Feng Qi Yu, Aixing Li,

Shenzhen Institutes of Advanced Tech.,CAS

Fast and effective indexing and retrieval from large amount of surveillance videos are very important issues. This paper proposes a novel object-semantic-based surveillance video indexing and retrieval system, which is mainly composed of two modules: video analysis and video retrieval. In the video analysis, the systems first segments video objects (VO) from surveillance videos, and the fundamental semantic information is then extracted and indexed into the database. A normal approach of Gaussian Mixed Model (GMM) is applied in video object extraction (VOE) and video object segmentation (VOS). During retrieval, the query is converted to semantic information without re-processing the surveillance videos. Color, edge orientation histograms and SIFT (Scale Invariant Feature Transforms), as the key features and similarity measurement, are considered together to accurately match the video objects (VOM). The experiment shows that a user can retrieve the required videos effectively.

Paper ID: 748

Designs and applications of information fusion control system

Yue Shihong Yue,

School of Automation, Tianjin University

Based on traditional PID control and a information fusion model-Choquet integral, a new nonlinear control system, termed Choquet-PID control approach is proposed, and thus the optimal control of nonlinear discrete control system is studied. The Choquet-PID control approach is allowed to transform major real requirements of control system, system dynamic information and other information into a group of the information resources that can be fused. Consequently, the Choquet-PID control shows better control performances such as control gain and trace errors than individual fused controllers. The simulation study shows that the performances of fuzzy model based control systems in tracking and regulation are efficient and easy operated.

Paper ID: 750

The research of distribution system reliability regional assessment algorithm

Zhang Pengdi,

Kunming University Of Science and Technology

According to the location of fault point, a complex medium voltage distribution network reliability evaluation algorithm based on Isolating switch partition is summarized. The isolating switches and load points formed the fault zone and fault influenced regional, the recovery time of fault influenced regional is determined by the action time of boundary isolating switch. The algorithm is for medium voltage distribution network reliability evaluation with sub-feeder, compared with the conventional FMEA algorithm, proved the simplicity and practicality of this algorithm.

Paper ID: 755

A Hybrid Algorithm for Sensing Coverage Problem in Wireless Sensor Netwoks

Zhang Bin, Li Haiping, Mao Jianlin,

Kunming University of Science and Technology



Abstract—The coverage problem is one basic problem in the wireless sensor networks (WSNs). In one limited region, how to reasonably arrange the sensor nodes to achieve the best coverage is the key to improve the performance of the whole networks. This paper presented a hybrid algorithm which is based on the fish swarm algorithm and particle swarm optimization in the limited WSNs region. The new algorithm has the well global search ability of the fish swarm algorithm and the quickly search ability of the particle swarm optimization. The simulation results show that the hybrid algorithm can effectively optimize the nodes’ deployment of the sensor networks to improve the coverage of the whole networks.

Paper ID: 758

Analysis of Mechanical Stress Field and Experimental Study on Marine Band Brake

Hulin Li, Beisi Xie, Fucai HU,

School of Energy and Power Engineering School of Energy and Power Engineering

Based on the constitution of the band brake and the heat transfer theory, a 3D model of the band brake has been established with PRO/E software. And the mechanical stress field and the stress distributions of the model in rated and failure condition have been analyzed with MSC.Nastran software. The accuracy of the finite element model has been confirmed by experiments. All the results can provide references for improving a design.

Paper ID: 764

Efficient Key Cryptography Based on Body Area Networks

Qiming Huang, Guo Chao,

University of Sci. and Tech. in Beijing

In order to reduce the amount of the data transformation and energy consumption in the key generation technology with biometric information, the Fuzzy Matching Curve (FMC) algorithm is proposed in Body Area Networks (BANs). We use a curve to fit these true points, transfer the parameters of the curve and achieve an efficient key cryptography scheme, while the Fuzzy Vault scheme hided the true points by adding randomly chaff points during the process of key generation. Experimental result shows that as compared to the encryption technology of Fuzzy Vault, the FMC algorithm not only reduces the amount of data required for generating the key and the computational complexity in a large extent, but also achieve real-time require in BANs.

Paper ID: 766

A New Hybrid Routing Protocol in WSNs

Liu Guangcong, Zhang Hua, Lei Fangjie, Wei Dongli,

Mailbox B54, Faculty of Computer Guangdong University of Technology

In view of the limitations of resources of WSNs, the uncertainty of network topology and self-organization character of WSNs, a new hybrid routing protocol is proposed in this paper. This protocol judge the current state of the node and routing selecting through the performance of residual energy of node. Each node in the network communicates with each other by the way of "best effort to transmit data " and "forced to establish adaptive dynamic cluster head". Simulation results show that this protocol has a high production rate of the cluster head and reliable packet delivery rate, and it can effectively reduce the network loads and network energy consumption.

Paper ID: 769

Study of Environmental Logistics System based on Internet of Things

Gu Yu, Niu Yaqiong,

Beijing Wuzi University

The approaching of Internet of things will be beneficial in many fields including the logistics industry. However, because of the many current problems in applications of Internet of Things, to build a successful Environmental Logistics system based on Internet of Things will not be an easy mission. Starting with the developing situation of Internet of Things, this paper aims at the study of the Environmental Logistics system based on Internet of Things. The paper first analyzes the feasibility of the new idea. Then, followed by the comparison with the traditional logistics model, the paper puts forward the specific Environmental Logistics pattern based on Internet of Things on environmental supplier management, environmental production management, environmental transportation management and environmental storage management. Finally, from the view of cost barriers of Internet of things, insufficient promotion of Environmental Logistics concept as well as delayed EPC and RDIF technology development, the paper investigates the potential problems as well as the corresponding solutions in the process of building an Environmental Logistics system.

Paper ID: 770

Study on business model of Internet of Things based on industry value chain

Gu Yu, Li Jiahui,

Beijing Wuzi University

Internet of Things, which is in short of IOT, is a kind of new tools for development and enhancing the core competitiveness in modern enterprise. We study the business models and build mode of IOT mainly from the application level based on the industry value chain in this paper. We try to enable the service of IOT to become an independent services industry and application in other industries.

Paper ID: 771

Study on Application and Development of Internet of Things in China

Gu Yu,

Beijing Wuzi University

In recent years, the "Internet of Things" (IOT) in the national and global networking become upsurge, called the third wave after the computer and Internet information industry. For china, IOT is particular important in reversing the situation of low-end chain and accelerating industrial transformation and upgrading. This paper first introduces the basic concepts and characteristics of IOT, analysis its technology architecture and key technologies, and then conceives development models of IOT in futures, finally proposes a few recommendations on how to develop IOT in china.

Paper ID: 772

The Technology of the Internet of Things in solving Traffic Jams

Dong Qigang,

Beijing Wuzi University

In recent years, with the sustained growth of China's economic, urban traffic congestion become more and more a question which people have to face, especially in cities like Beijing is more serious. It does not only bring a lot of inconvenience for people traveling in daily life, but also extent restricted the development of urban economy in a certain. In this case, this paper will discussed the application of the Internet of Things technologies in transportation, the key is that the application of the research content things networking in solving the problem of city traffic jam, Intelligent Transportation System based on the Internet of Things [ITS-IOT)] was put forward, we hope that we can make an early settlement of ‘Plugging City’ problem and play the original role of traffic through the application of this system.

Paper ID: 775

Rigid-Flexible Coupling Dynamics Analysis of Spot-Welding Robot

Haitao Luo, Yuwang Liu, Hongguang Wang, Weijia Zhou,

Shenyang Institute of Automation, CAS Graduate School of the Chinese Academy of Sci

This paper studied dynamics simulation analysis method for a rigid-flexible coupling system of spot-welding robot. The 6R spot-welding robot multi-body dynamics model is created by FEA (finite element analysis) and MBD (multi-body dynamics) software. Based on rigid-flexible coupling analysis method, we analyzed mechanics characteristic of upper arm and got the deformation of end measuring point, maximum stress position and stress curve, when spot-welding robot is moving under loads. The analysis method is more intuitional and accurate, and can increase the accuracy of dynamic response analysis of parts under the dynamic loads. The simulation results are very important theoretical basis for structure design and optimization of the spot-welding robot.

Paper ID: 783

A Web Service Selecting Method Based on the Prediction with QoS Parameters

Zhai Sheping,

Xi'an University ofPosts and Telecommunicatio

In order to enable Web service consumer acquiring the
QoS value as a reference for service ranking and sorting,
a Web service ranking algorithm based on the QoS param-
eters prediction is proposed. First, According to the mea-
sure of Service Quality Conformance, the QoS reports are
produced, the creditable reports are marked, and the pre-
processing method is used to exclude those cheating re-
ports. Second, the QoS value is predicted using the fuzzy
regression method, whose I/O parameters are the property
and evaluation value for service quality respectively, so the
fuzzy coefficients can be determined and the QoS evaluation
is hazed with Symmetric triangular fuzzy number. Finally,
the results are employed as the service selecting basis. The
experiment results demonstrate that the predicted value is
close to the real QoS value gradually as the sample number
of the service quality report increasing. The service qual-
ity prediction method compared to the others in the service
discovery enables the average R-Precision error to be con-
trolled within 2.7% with varying the parameter of Service
Quality Conformance and the QoS difference in service ad-
vertisement and requirement accepted by service consumer.

Paper ID: 784

An RFID-based Outdoor Advertising Management System

Mao Jianlin,

Kunming University of Science and Technology

RFID technology is now widely used in more and more areas. In this paper, we apply RFID technology to design an outdoor advertising management system, where the labor cost is expected to be reduced while the management efficiency is improved greatly. To meet the requirements of outdoor advertising management, both passive and active data collection modes are given. A hierarchical system architecture is built, which includes RFID tag and reader network, RFID reader network and the system network. On system network, a web-based supervision and management software is designed.

Paper ID: 786

Research on Object-background Segmentation of Color Image Based on LabVIEW

Xiaobo Mao, Jing Yang,

School of Electrical Engineering

Automatic threshold segmentation or magic wand processing usually can’t perfectly extract target from a color image with complex background. A method combining color threshold segmentation with the magic wand processing is proposed to solve this problem. The thresholds in H, S,L color plane are respectively set on the HSL model to avoid single gray variation. Combined with morphological image processing the boundaries of the object and background of the image is more obvious. The magic wand processing is used to extract the object from the background. Experiments which designed based on LabVIEW and NI-IMAQ Vision can greatly shorten the developing cycle and can be easily implemented and maintained. The results show the method proposed above work better than the usual method.

Paper ID: 788

The Study of Detecting and Controlling System of Mineral Pulp Level

Li ZheKun, Wang Feng, Fu Junyu, liu yuan,

Kunming University of Science and Technology

Abstract: In this paper we established the Detecting and Controlling System of Mineral Pulp Level. It abandoned the traditional PID control method. The system adopted an advanced adaptive fuzzy PID control method, applying the Labview to built Monitoring and Controlling System in current time for flotation column, which achieved the real-time monitoring of floatation column liquid level control system and can guarantee the floatation column level in stability and suitability at the same time, together with highly automation degree, convenient operation and it can achieve the remote and local human-machine conversation.

Paper ID: 790

A New Coding Method for Genetic Algorithm in Vehicle Routing Problem

Qin Jiajiao, Zhang Yong, Mao Jianlin,

Kunming University of Science and Technology

Genetic algorithm is widely used to solve optimization problems for its characteristic, especially vehicle routing problem. By using this algorithm to solve the vehicle scheduling problem, determine the solution coding method is a very crucial basic work, because it will directly influence the algorithm to realize and the inferiority of algorithm performance. This paper presents a new coding method—the client direct arrangement and grouping randomized. Firstly, produce customer arrangement without repeating, and than put it into small groups randomly which is serviced by a vehicle separately. It represents a solution or a route. In the final, it is proved that the genetic algorithm with new coding has good performance through experiment.

Paper ID: 793

A Management Framework for Secure Home Network Applications

Qin Xia, Liu Lu,

Xi\\\'an JiaoTong University

Home network is a residential local area network where digital home appliances are connected with each other. In a home network, access control is an essential factor to provide a proper service to an authorized user. In this environment, there is a home server, which manages user’s accesses to external sources. It prevents unauthorized users from accessing home appliances on the network. In this paper, we propose a role-based access control (RBAC) framework using mobile agents in home network environments. This framework controls the users’ authorities based on RBAC so that it manages the access control list in each device independently. Also, it guarantees secure role assignment using the role tickets introduced in the proposed framework.

Paper ID: 794

An Approach on Detecting Network Attack Based on Entropy

wang zhiwen, Qin Xia,

Xi\\\'an JiaoTong University

There are a large amounts of alerts with high false rate in typical Intrusion Detection System (IDS). The problem about how to identify network attack effectively from huge volume of alerts is becoming a challenging task for security administrators. It gets worse with larger scale of network being monitored by IDS. In this paper we propose an approach on detecting network attack based on entropy from millions of alerts. Shannon entropy is developed firstly to analyze the distribution characteristics of alert with five key attributes including source IP address, destination IP address, source threat, destination threat and datagram length. Then, the Renyi cross entropy is employed to fuse the Shannon entropy vector and detect the anomalies. The IDS used in our experiment is Snort, and the experimental results based on actual network data show that our approach can detect network attack quickly and accurately.

Paper ID: 795

An Improved Particle Filter Algorithm for Target Tracking in Binary Wireless Sensor Networks

Yang Xiaodong, Xiang Fenghong, Mao Jianlin, Wang Na,

Kunming University of Science and Technology

An improved particle filter algorithm with adaptive process noise variance is proposed for target tracking in binary wireless sensor networks (BWSN). The standard particle filter (SPF) is not fit for target’s constant velocity model and has cumulative effect of prediction error. The proposed algorithm adopts real-time updating process noise variance to eliminate the cumulative effect of particle filter prediction error. The simulation results show that the proposed algorithm is suited for target’s constant and variable velocity model with higher accuracy than SPF.

Paper ID: 798

Survivability Recovery of Information System Based on Component Availability

wang zhiwen, Qin Xia,

Xi\\\'an JiaoTong University

A mechanism of survivability recovery, whereby component is the basic unit of being fixed, is presented for information system in this paper. Services provided are classified into complete service, acceptable service and interrupted service by the degree of dependence on failed critical component. The survivability of information system is measured by component availability. Procedure of survivability recovery can be divided into two phases in time domain. The first phase is to restore interrupted service by fixing the failed critical components. Acceptable service can be perfected by fixing the disabled non-critical components in the second phase. The experiment is carried out by applying the mechanism mentioned above in a networked teaching system. The results shows that it is effective to determine recovery actions and activating sequence, increase the capability of recovering rapidly and diversify methods of recovering survivability in information system. The work done by author has a major guiding significance in analyzing and recovering survivability for actual information systems.

Paper ID: 801

Study of the Communication Module of Wireless Sensor Networks Node Platform

Xiaoyan Xiong, Miao Zhang, Dan Zhao, Zhao Wang,

Taiyuan University of Technology

This article introduced the overall structure of WSN (wireless sensor networks) node platform, which is suitable for collecting and transmitting the data of vibration signal, and the interfaces program of its communication module. The initialization, register visit and data read mode of CC2420 are detailed analysed, which provide the possibility to realize the wireless transceiver function of node platform. By applying WSN to collect the data of mechanical equipment and using neural network to analyse the data, the usability of WSN in mechanical equipment conditions monitoring is proved.

Paper ID: 802

Towards an Ubiquitous Motion Capture System Using Inertial MEMS Sensors and ZigBee Network

shi guangyi,

Peking University Wuxi Campus Peking University Shenzhen Graduate School

Motion capture system is widely used in biomechanics, sport performance analysis, tele-robotics, as well as in entertainment. In this paper we developed a novel motion capture system with multi-sensing-node based on inertial MEMS sensors and ZigBee network, which is expected to be performed freely in many circumstances, not only strictly used in particular room as optical capture system does. First, the multi-node motion capture system was defined, which can track the human motions and postures simultaneously and wirelessly. Second, multi micro inertial measurement units (uIMU) were designed by integrating the inertial MEMS sensors, micro controller unit and ZigBee module. The sensing nodes were designed small enough to be wearable. At last, a wireless multi-sensing network was built up. Therefore, the sensing nodes will be put on the key points, usually joints, of the subject, which will realizes the movement capturing of a human body. Experiments showed that the sampling rate of this system was 50 Hz. The further work will be focused on the amelioration of ZigBee protocols for faster sampling rate of multi-node system, as well as human motion tracking algorithms.

Paper ID: 804

Study on Multi-Agent Railway Signal Control System

Wei Wenjun,

Lan Zhou Jiao Tong University

The railway signal control is an important guarantee for the safety of railway transportation. Due to the over-concentration of signal control currently, the system becomes increasingly complex and high-speed and heavy rail transport resulting in the shortened time of maintenanc, this paper presents a railway signal based on multi-agent architecture of the control system and discusses in detail the composition of its parts and functions, suggesting the communication method between multi-agent and multi agent synergy between the mechanisms. Agent, by the introduction of multi-rail signal control system, can be a new control structure to improve the railway signal control model and improve the signal control system reliability and availability.

Paper ID: 807

Attacker-Exclusion Scheme for Cooperative Spectrum Sensing Against SSDF Attacks Based on Accumulated

Siyang Liu, Quan Liu, Jun Gao, Jianxin Guan,

Naval University of Engineering

Cooperative spectrum sensing (CSS) is one of the vital mechanisms of cognitive radio (CR).However, its security area has attracted very little attention. It is vulnerable to the attacks of malicious secondary users. To counter the spectrum sensing data falsification (SSDF) attacks, an accumulated suspicious level-based algorithm was proposed. Based on all secondary users’ report histories, it calculates the accumulated suspicious level and distinguishes honest users and attackers. Then, only the honest secondary users will be incorporated in decision combination at the fusion centre, which improves the robustness of CSS against SSDF attacks. Simulation results are presented to illustrate the effectiveness of the proposed scheme. Unlike other existing schemes, the algorithm does not assume any a priori information about the strategy of attackers and can effectively detect the intelligent attackers.

Paper ID: 809

Movement Coupling Analysis on the Wrist of 165Kg Spot Welding Robot

Li Cheng, Hongguang Wang, Yuwang Liu,

Shenyang Institute of Automation,CAS

The driven system of 165Kg spot welding robot is introduced and the movement coupling of the wrist is analyzed in detail. The influence formulas of movement coupling to each joint of the wrist are derived theoretically. Furthermore, the kinematics simulation of the wrist is carried out by the software of Solidworks. The simulation results are in agreement with the theoretical calculation, which proves the validity of the transmission analysis. These can be used as reference for transmission design and motion control of other industrial robots.

Paper ID: 811

Influences of Visual Feedback Indicator Scales on Human Upright Postural Control

Lili Pei, Hongyi Li, Yunfa Fu,

Shenyang Institute of Automation, CAS

Human upright postural control is highly related to visual information. In order to investigate the influence of visual feedback on static upright postural control, postural control of eight healthy adults was investigated under visual feedback circumstances. In the investigation, postural feedback information was visualized by an indicator composed of a movable spot and a stationary circle, and postural control of subjects was inspected both in the time domain and frequency domain. The experiment results indicate that reduction of the visual feedback indicator scale inspires a postural power shift to the higher frequencies, and this reduction also induce a fall-after-rise pattern of postural energy distribution in the frequency range of 0.5~1 Hz.

Paper ID: 815

Silicon-based Wideband RF Nano-Electro-Mechanical-System Devices

Yang Yi,

University of New South Wales (UNSW)

This paper presents RF nano switch matrix cell proposing for 550-650GHz high frequency wideband applications. The RF NEMS devices are designed with four metal structure on a tri-layer high resistivity silicon substrate. Simulation results indicate the designed RF nano devices can potentially achieve good RF performance in the frequency range of interest. Surface micromachining fabrication process for silicon-based nano devices is developed and presented in this paper. Fabrication using ICs-compatible process can lead to integrating RF nano components with integrated circuits, hence to perform a cost effective system-on-a-chip solution.

Paper ID: 817

Research and Implementation of a Mobility Management Mechanism for Wireless Sensor Networks

Yong Li, Yong Pan, Ping Wang,

Chongqing university of Posts and Telecom

Wireless Sensor Networks (WSN) has attracted a lot of attention due to its huge application space. In a WSN, the routers are stationary and they are able to communicate with each other via the wireless mesh link, the sensors can move from place to place in the region of the network and deliver their data to the gateway through the routers, a gateway connects the WSN with other WSNs or with the internet. In order to meet the needs of managing the mobile nodes, also considering the features of resource limited and architecture distributed, we propose a mobility management solution which supported distributed resource allocation. In the mechanism, when the sensor moves from the coverage area of one router to another, it needs two routers cooperate together to complete the association procedure, then the sensor can acquire communication resources from the router that connected with at present. We set up a platform based on IEEE 802.15.4e draft standard to implement the mechanism, the experimental results shows that the scheme is easy to deploy in the real system and have a high level of efficiency and reliability.

Paper ID: 821

A Survey of Power Control over Sensor Nodes in the Internet of Things

huang yi,

student

The power control over the sensor node in the Internet of things is closely related to the life expectancy of the sensor nodes and robustness of network connection, which is one of the most critical technologies in the development and application of the Internet of things. The difficulty in solving this problem lies in achieving both good network connectivity and low energy consumption. This paper presents a brief description of some methods and ideas on the power control over the sensor nodes in the Internet of things from five different angles.

Paper ID: 824

Global Robust Criteria For Stochastic Neutral Neural Networks With Uncertainties And Unbounded Distr

Guoquan Liu,

Chongqing University

The problem of global robust stability analysis is studied for a class of stochastic neutral neural networks with uncertainties and unbounded distributed delay. Novel stability criteria are obtained in terms of linear matrix inequality (LMI) by employing the Lyapunov-Krasovskii functional method and using the free-weighting matrices technique. In addition, two examples are given to show the effectiveness of the obtained condition

Paper ID: 827

Modeling of gap sensor for High-speed maglev train based on RBF network

Jing Yongzhi,

School of Electrical Engineering Southwest Ji

The gap sensor plays an important role for electro-magnetic levitation system which is a critical component of high-speed maglev train. Artificial neural network is a promising area in the development of intelligent sensors. In this paper, we present an model of gap sensor based on radial basis function (RBF) neural network. The proposed model based RBF scheme incorporates intelligence into the sensor. It is revealed from the simulation studies that this gap sensor model can provide correct gap within ±0.3mm error over a range of temperature variations from 20℃ to 80℃.The experimental results show that the compensated gap signal meets the requirement of levitation control system.

Paper ID: 828

Array Units Spacing Effect on Properties of Piezoelectric Composite Underwater Acoustic Transducer

Li Denghua,

Beijing Information Science&Technology Univ.

Abstract—For the problem of free field voltage receiving sensitivity and transmitting voltage response level of underwater acoustic piezoelectric transducer, using cymbal transducer as array unit and polyurethane as matrix to constitute homogeneous plane parallel array of piezo-composite underwater acoustic transducer with nine-array units. Using Matlab simulation software, analyzed the array units spacing effecting on free field voltage receiving sensitivity and transmitting voltage response level of underwater acoustic piezoelectric transducer array in different of operation frequencies. When taking the value of array units spacing is corresponding to zero point of radiation factor, the maximum values of free field voltage receiving sensitivity and transmitting voltage response level of the piezoelectric transducer array can be obtained. Fabricated the transducer array and tested the properties of the transducer array. The result showed that the tested value agree well with the theoretical value. The first response frequency of the transducer array is less than that of the single array unit because of the mutual radiation between the transducer array units.

Paper ID: 831

Research on photovoltaic array the maximum power point tracking based on the PSIM

Zhang Yi,

Beijing Technology and Business University

In this paper, it points out photovoltaic cell is the main component of photovoltaic power system, and the simulation of photovoltaic cells will promote the research of photovoltaic power system. The focus of this article is that, a simulation algorithm based on PSIM for array of photovoltaic cells maximum power point tracking has been developed. The testing result shows that, this simulation model can simulate any parameters of the array of photovoltaic, and it can accurately reflect the actual physical characteristics, with high accuracy.

Paper ID: 832

Intelligent management and service for Wisdom Scenic Based on Internet of Things

Zhenfeng SHAO, Chong LIU,

LIESMARS,Wuhan University

The transition from the "Digital Scenic" to "Wisdom Scenic" is not only an inevitable course, but also the vital strategy for the future development of scenic area. In this paper, the requirement for the construction of “Wisdom Scenic” based on Internet of Things is analyzed and the implementation mechanism of wisdom scenic area management based on Service Oriented Architecture (SOA) is discussed. Besides, an application function of "Wisdom Scenic" tourists streaming in Jiuzhaigou national park is realized by using RFID technology and intelligent executing terminals. Finally, this paper indicates a rosy prospect for the development of “Wisdom Scenic”.

Paper ID: 836

Fast morphological pyramid matching algorithm based on the Hausdorff distance

Jie KANG, Gang YANG,

Xi'an University of Posts&Telecommunications

Because the two images used in realistic image matching are generally from the different kinds of sensor, and the physical peculiarity of these images are different, It is very difficult to match the different kinds of images. Aiming at the maching problem between the synthesis aperture radar (SAR) images and the optic images, a fast morphological pyramid matching algorithm based on the Hausdorff distance was propose. Firstly, in this algorithm edge images were taken as the characteristic space which were extracted respectively from the optic images and the SAR images , and then a distance measurement based on partial mean-Hausdorff distance was adopted as similarity measurement, after that a multiscale flat-structuring elements CB close-open morphological hybrid pyramid was adopted as the search strategy. Multiscale flat-structuring elements CB close-open morphological hybrid pyramid and the matching algorithm between the real SAR image and Optical image were validated by simulation, it can be seen that when in signal analysis, the morphological pyramid better preserves the details of the image, and has perfect reconstruction capability, the matching algorithm has high matching accuracy and fast computation speed.

Paper ID: 848

Study on performance measurement for green supply chain management

LI HONG -XIA, li yan,

LI YAN

Globalization results in both pressure and drivers for
Chinese enterprises to improve their environmental performance.
As a developing country, China has to balance economic and
environmental performance. Green supply chain management
(GSCM) is emerging to be an important approach for Chinese
enterprises to improve performance, possibly on both these
dimensions. Drawing upon a database of over 160 manufacturing
facilities in china this paper is to explore performance
measurement for GSCM. The results show that GSCM is
strongly complementary with other advanced management
practices, and that it contributes to improved environmental
performance. The effects on commercial performance are more
ambiguous.