Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Saturday Sessions
change the method of evolving hardware design by using I2C-bus and
AT24C02 but not using evolutionary algorithm, overcome the disadvantage
of long time of the traditional method, and achieve a fast, high
efficiency and higher accuracy I2C interface design techniques. The
experiments show that the circuits evolved by using this new method
based on I2C-bus and AT24C02 communication interface can save
transmission time, increase the bus utilization, and has achieved good
results
◁ PSaB-44
Collaborative Monitoring of Underground Gas disaster Based on Fuzzy
Information Fusion, pp.4230–4234
Ma, Fengying
Ma, Fengying
Shandong Inst. of Light Industry
Shandong Polytechnic Univ.
In order for gas monitoring system to increase precision and real-time
capacity, a gas disaster collaborative monitoring system was presented.
The system could perform intelligent measurement of gas disaster
and coal dust disaster with the expert systems. In order to solve
the problem of coal-dust explosion limit reducing once the gas gathering
occur, the explosion parameters were detected by multi-sensor
and the information of dust, gas concentration and temperature from
sensors were carried on fuzzy processing to be fused based on fuzzy
information and fusion theory. The system can finish fusion computing
and decision-making of various system parameters to realize the early
prediction for mine explosion successfully. The experimental results
indicate that the discerning accuracy and reliability of mine explosion
detection system is greatly increased based on fuzzy information and
data fusion. It is concluded that the system is of great significance to
coal mine production safety.
◁ PSaB-45
The Prototype IEEE 1451.4 applied in the IOT, pp.4241–4244
LI, ZHI
Qin, Chang-ming
Zhang, Huo
guilin universuity of electronic & Tech.
the Guilin Univ. of electronic & Tech.
guilin universuity of electronic & Tech.
As the key technology applied in the internet of the things (IOT), the
transducer technology plays a driving effort on the development of the
IOT. IEEE 1451.4 defines a mixed-mode interface(MMI) for the smart
transducers and the formats of the Transducer Electronic Data Sheet
(TEDS),which adds the play-plug function to the analog transducer.
With the prototype applied in IOT, it will save much time used to recognize
and describe the transducer and will supply with more useful
information, such as calibration and orientation parameters. It will bring
much convenience to the management of the transducer code in IOT.
This paper briefly introduces the IEEE 1451.4, gives an instance of applying
the IEEE1451.4 prototype in IOT to measure the real-time temperature.
◁ PSaB-46
A Cooperative Framework for Target Tracking in Wireless Sensor Networks
, pp.4249–4254
Li, Xun
Wang, Jianwen
National Univ. of Defense Tech.
National Univ. of Defense Tech.
A Wireless sensor network (WSN) can be deployed in advance for
tracking a moving target. The sensor nodes can be arranged at some
expected positions, the computing complexity for locating the target
hereby will be mitigated. In this paper, we propose a cooperative framework
for multiple sensor nodes to track the moving target. A lightweight
distributed method to locate the target is presented in the framework.
We analyze the impacts of the time synchronization error and distance
measurement error on the target track errors. Based on the analysis,
the parameters involved in this method are discussed. With the suitable
parameters, the method can assure the accuracy of the track while simplifying
the calculation of the localization.
◁ PSaB-47
Distributed Luenberger Observers for Linear Systems, pp.4267–4271
Ni, Wei
Wang, Xiaoli
Nanchang Univ.
Harbin Inst. of Tech. at Weihai
Yang, Jie
Chun, Xiong
Chinese Acad. of
Nanchang Univ.
The distributed Luenberger observers for linear systems under switching
topology is considered. These observers are arranged in a communication
graph configuration, and perform estimation tasks by distributed
local data fusion in the sense that each observer receives measurements
from local sensors and exchanges information with its neighbors.
The objective is convergence of each observer state to that of the given
linear system. Leader-following consensus algorithms is applied to
the distributed observers design. The communication graph allows to
be time-varying. A modified averaging approach is utilized to aid the
convergence analysis under the jointly connected graph topology. An
illustrated example is presented to validate the result.
◁ PSaB-48
Distributed Extended Kalman Filter based on Consensus Filter for Wireless
Sensor Network, pp.4315–4319
Long, Hui
Qu, Zhihua
Fan, Xiaoping
Liu, Shaoqiang
Central South Univ.
Central South Univ.
Central South Univ.
Central South Univ.
Distributed state estimate is one of the most fundamental problems for
wireless sensor network. This paper addresses a type of distributed extended
kalman filter that is extended from linear distributed kalman filter.
Central extended kalman filter is an effective tool for nonlinear state filter
of multisensor network. In this paper central extended kalman filter
is decomposed into n micro extended kalman filters with inputs that are
provided by consensus filters. When system process model and observation
model are nonlinear, it is proved that distributed extended kalman
filter can provide an identical state estimate of system state. Two target
tracking examples are employed for simulation demonstration. All
sensor nodes are able to take a nonlinear observation to moving target,
dynamical cluster that is composed of several sensor nodes execute
observation and error covariance matrix consensus filter. Each sensor
in cluster obtain system estimate through distributed extended kalman
filter. Simulation results show the proposed algorithm is effective for
nonlinear distributed state estimate.
◁ PSaB-49
Improved CPHD Filtering With Unknown Clutter Rate, pp.4326–4331
Zheng, Xuetao
Song, Liping
Xidian Univ.
Xidian Univ.
To accommodate the model mismatch in clutter rate, a cardinality probability
hypothesis density (CPHD) filter with unknown clutter rate has
been proposed by Mahler. It has proved to be a promising algorithm for
multi-target tracking in complex environment. However, in Mahler’s algorithm,
the calculation of the number of clutters without observations
is determined by the hybrid cardinality distribution and hybrid probability
of misses, it will cause the confusion between undetected targets
and clutters. To solve this problem, an improved CPHD filter is proposed
which increases an estimation of the number of targets based
on the measurement likelihood in the process of update and then modifies
the hybrid cardinality distribution by treating the confused targets
as detected ones more reasonably. Simulation results show that the
improved CPHD filter is superior to the traditional method in both the
estimates of clutter number and target state.
◁ PSaB-50
Reduced-rank Space-Time Adaptive Processing to Radar Measure Data,
pp.4332–4336
Wen, Xiao-Qin
South China Univ. of Tech.
This paper firstly introduces the correlation dimension nonhomogeneity
detection, to select the secondary range cell and estimate
the correlation matrix. Then respectively discusses reduced-rank STAP
based on direct form process (DFP) and generalized sidelobe canceller
(GSC). Those approaches all take advantage of the low rank nature of
clutter and jamming observations, and the reduced-dimension transformation
applied to the data are necessarily data dependent. Lastly uses
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