The necessity recurrently comes to align a strapdown inertial navigation system (SINS) in a moving
vehicle to guarantee the accuracy and efficiency in the long run-off of the inertial system after a take-off or launch
command is issued. This in-flight alignment is therefore achieved by integrating SINS data with some external aiding
source inlcluding airborne navigation equipments and networking sensors. In this paper, a localization architecture
and alignment scheme is presented for aircraft in a three-demensional fleet network, which is based on wireless
sensor network. Firstly, a 3D node localization scheme is designed based on weighed-multidimensional scaling,
which adopt spherical locating in the initial stage, and adaptively choose source nodes with high relative reliability to
achieve position update. Then a robust filter algorithm is applied to compensate time-varying delay error and large
azimuth uncertainty in alignment. Extensive simulation shows that the DMDG-3D localization scheme can provide
highly accurate and relatively reliable navigation information in real time, and filter algorithm can
accelerate convergence and give better estimation of the navigation parameters.
Intelligent video monitoring system has been used widely in daily life. In order to avoid the casualties, as
well as to predict potentially dangerous situations, real-time monitoring of crowd activities indoor has become an
urgent requirement. In recent years, the video-based passenger flow counting systems have been improved a lot with
constant equipment update. However, these systems are mostly aimed at a particular scene. In crowded
circumstances, the statistical precision is not very satisfactory. The analysis of abnormal situations is thus imperfect.
This paper improves the main algorithms, such as: the extraction of human, the segmentation of crowd and the
judgment of human moving direction. Finally, the improved algorithms integrate a system which achieves two-way
passenger flow counting. Consequently it first makes the early warning of abnormal conditions possible. The
system’s statistical accuracy is remarkably improved, and testing result under different scenes is shown.
Network scheduling plays an important role in Network Control System (NCS). Focused on problems of
the present scheduling of CAN bus, an improved Mixed Traffic Scheduling algorithm (MTS) was proposed on the
base of the communication principle of network scheduling. The cut-off time was denoted after introducing the
definitions about the scheduling. The NCS model for CAN Network was created then. The simulation platform was
created based on MATLAB/True Time toolbox, construed the new schedule affected the control system. The
simulation test was conducted and the result proved the validity of the method.
Traditional network control system offers many advantages but requires cables to inter-connect devices,
which leads to high installation and maintenance costs due to low scalability and high failure rate of connectors. As a
result, wireless technologies have gained an enormous success in the consumer goods industry in the last few years.
Wireless Networked Measurement Control System (WNMCS) is a distributed control system based on the wireless
measurement network, suitable for use at the device level of an automation system. For that purpose, Wireless Local
Area Networks (WLAN) and Wireless Personal Area Networks (WPAN) can be employed. In this paper, a
simulation model of WNMCS is designed on the basis of Matlab/Simulink, and the suitability of wireless sensor
networks for networked control loop is shown. Real time character is the common request of control systems and
multitasks is the mainstream of the distributed control system nowadays. Aiming at selecting communication
protocol in the wireless networks, the TrueTime toolbox is applied to establishing the simulation model of the
Wireless Network Measurement Control System (WNMCS). We compare the performance of WPAN-based
WNMCS to that of WLAN-based WNMCS. Experimental results show that WPAN-based WNMCS is a very
promising alternative for wireless industrial networking with short superframe, and WLAN-based WNMCS is more
suitable for high throughput application.
The integration of uncertain information from different time sources is a crucial issue in various
applications. In this paper, we propose an integration method of multiple Temporal Qualitative Probabilistic
Networks (TQPNs) in time series environments. First, we present the method for learning TQPN from time series
data. The TQPN’s structure is constructed using Dynamic Bayesian Networks learning based on Markov Chain
Monte Carlo. Furthermore, the corresponding qualitative influences are obtained by the conditional probabilities.
Secondly, based on rough set theory, we integrate multiple TQPNs into a single QPN that preserves as much
information as possible. Specifically, we take the rough-set-based dependency degree as the strength of qualitative
influence, and then make the rules to solve the ambiguities reduction and cycles deletion problems which arise from
the integration of different TQPNs. Finally, we verify the feasibility of the integration method by the simulation
Multi-Robot Task Allocation is a crucial issue before performing a certain task. This paper deals with a
distributed task allocation method based on some special relation defined according to the performance of history
cooperation between two robots. The algorithm we propose here is named TARARC—a Task Allocation algorithm based
on Robot Ability and Relevance with group Collaboration, where robot ability is weighed by reliability, relevance
represents a fresh concept of “history relevance” between every two robots to establish reasonable groups for better
collaboration, and the group collaboration includes inter and inner group help strategy that are adopted when different
nodes failures happen in unknown environment. TARARC emphasizes the role of “agent node” in each group that is
responsible for task competition, group leadership, formation maintenance as well as task execution with changing agents.
Simulation on Player/Stage shows that our mechanism is feasible and valid.
With the progress of the internet, many import documents can be found online. It is vital to protect the
safety and genuineness of the seals in the published documents. In this paper, A fragile watermarking scheme is
proposed to extract the features from the original documents and then combine them with some confidential
parameters to generate watermarked unique seals from the official seals without affecting the layout and the visible
image of the original ones.
Wireless sensor networks are data-centric, in which data management and representation is a crucial issue. In this
paper, sensor networks deployed to monitor wetland and underwater environment by multi-hop networks are equipped with
the Network-centered Software Platform to visualize the data and topology. Our visualization software platform adopts threelayer
model as architecture. The three-layer model equips our visualization software platform with favorable flexibility,
scalability, better security, higher reusability and good fault tolerance. The technologies involved in this paper include serial
communication, database management and data visualization which is to visualize the data gathered by wireless sensor
networks. The database can be accessed by both local users and remote users through Internet. Of course the users must have
an authority to know the conditions of wireless sensor networks. Practical experiments have illustrated that our visualization
software platform can get data from the wireless sensor networks and provide real time and historical information for users. It
is convenient and efficient.
A precise iris center and eye corners detection algorithm is proposed. The work is based on common web
cameras and natural light condition instead of high resolution devices and infrared illumination. The algorithm
includes two parts. Firstly, the face region is detected with Adaboost method. Moreover, Active Appearance Models
is used to locate the rough area of the eyes. Secondly, an improved local projection function and circle integral
algorithm is presented. Based on this algorithm, the iris center and eye corners in the eye region can be precisely
located. The experiments show a high accuracy. Compared with the existing methods, this algorithm provides a more
reliable application in the gaze based aids tools for disabled people, such as cerebral palsy patients.
This paper describes the implementation of the temperature control system for sintering shaft furnace. In
order to solve the problems caused by pure time-delay and non-linearity, an intelligent serial temperature control
system is introduced in this paper, where the fuzzy controller is used in the main control loop and the fuzzy neural
network PID controller is adopted in auxiliary loop. Simulation results show that this system is stable and has
stronger anti-interference capability. Finally, the hardware and software implementation methods for the firebox
temperature control system are introduced. The real production results demonstrate that production requirements are
met and better control effects are obtained. The aim of energy saving and consumption reduction and quality
improvement is achieved.
Clustering Algorithm is a kind of key technique used to reduce energy consumption, which can increase
network scalability and lifetime. The main goal of this research is concerning protocols to contain in-motion sensor
nodes in large-scale topologies, and constitute a fleet wireless sensor network which can assistant in-flight
localization and alignment for carrier-based aircraft. In this paper, we abstract network model according to specific
conditions of F-WSN, and select performance indicators to evaluate it. A distributed multiple-weight data gathering
and aggregation protocol (DMDG) is proposed, which contains all-sided active clustering scheme and realizes
long-range realtime communication by tacical data link under a TDMA/CSMA channel sharing mechanism. An
analytical paradigm facilitating the most appropriate choice of the next relay is proposed. Experimental results have
shown that DMDG scheme can balance the energy consumption and extend the network lifetime notably, outperform
LEACH, PEACH, and DEEC in terms of network lifetime and coverage rate, especially in sparse node density or
In this paper, a simulation method for lens design is presented considering the aberration effect.
Traditionally, most optical path calculation algorithms are based on aberration theory and result in approximation.
For eliminating this problem and avoiding the limitations from aberration theory, this paper considers paraxial rays
and others as the same to trace their paths. For checking out the tracing algorithm, a programs based on OpenGL is
created in three-dimension and with real time controlling. Another program is implemented to show how the digital
photos should be changed when using different lens parameters.
We carried out an entropy study on the DNS query traffic from the Internet to the top domain DNS server
in a university campus network through January 1st to March 31st, 2009. The obtained results are: (1) We observed
a difference for the entropy changes among the total-, the A-, and the PTR resource records (RRs) based DNS query
traffic from the Internet through January 17th to February 1st, 2009. (2) We found the large NS RR based DNS
query traffic including only a keyword ”.” in the total inbound DNS query traffic. (3) We also found that the unique
source IP address based PTR DNS traffic entropy slightly increased, while the unique DNS query keywords based one
drastically decreased in March 9th, 2009. We found a specific IP host which was an already-hijacked classical Linux
PC that carried out the SSH dictionary attack to the Internet sites in March 9th, 2009. From these results,we can detect
the unusual inbound NS RR based DNS traffic and the outbound SSH dictionary attacks by only watching DNS query
traffic from the Internet.
Robot audition system can greatly improve the adaptability of mobile robots especially in the case of robot
vision system can’t work effectively. So an acoustic localization system using microphone array for mobile robot is
proposed in this paper. In order to localize the sound source target, the microphone array used in the system consists
of four microphones which were placed respectively on the vertexes of regular tetrahedron because of sound’s
omni-directional property. According to the plane wave model of sound’s propagation and the spherical wave model
of sound’s propagation, two different localization algorithms based on time delay of arrival are developed in this
paper. The hardware and software of the experiment platform are also introduced in this paper. The experimental
results show that the acoustic localization system can make the mobile robot rapidly and accurately reach the location
of the sound source target.
We carried out an entropy study on the DNS query traffic from the outside of a university campus network
to the top domain DNS server when querying about reverse resolution on the PC room terminals through April 1st,
2007 to April 30th, 2008. The following interesting results are given: (1) The total DNS query traffic changes in a
mild manner until January 16th, 2008, however it drastically changes after January 17th, 2008. (2) In January 17th,
2008, the DNS query traffic is mainly dominated by several specific IP addresses as their query keywords. (3) We
carried out forensic analysis on the PC room terminals in which IP addresses are found in the several specific
keywords and it is concluded that the PCs become spam bots when inserting USB based key disk storage.
AC contactors are widely used not only for motors but also in a huge number of automatic systems as a
type of low-voltage electronic product. As the most frequently used electronic switch, the damages are mostly from
the cauterization of contacts. During the start and break moment of the AC contactor, the bounce and the electro-arc
of the contact result in shorten of the life-span. For the contacts’ working conditions has a direct impact on the
quality and the operational of the switch, it is necessary to value the dynamic characteristics of the contactor in order
to find a appropriate working mode. In light of the situations, this paper presents a method for evaluating the
dynamic characteristics of AC contactors. A single AC contactor is tested and the parameters which closely
interrelated to the important performance of the AC contactor are obtained specialized with the closing process. The
method is to deal with fuzziness to combine these dynamic parameters which affect the contact’s dynamic response
into one index that represent an overall estimate of how well the character was when evaluating the switch quality,
namely the Fuzzy Evaluation of contact’s Dynamic Characteristics. Both the stair evaluation and multi-level
evaluation are introduced. In addition, fuzzy decision calculating system is designed and implemented by C program,
and partly illustrated on the program frame.
Counting of different classes of white blood cells in bone marrow smears can provide pathologists with
valuable information regarding various hematological disorders. For automatic imaging analysis techniques, precise
segmentation of White Blood Cells is quite challenging due to the complex contents in bone marrow smears. Far
more different from traditional color imaging analysis method, we introduced multispectral imaging techniques.
After an image with high quality was acquired, the spectrum of each pixel was directly fed into a trained Support
Vector Machine (SVM) for classification, then morphological binary operations were performed to correct the small
error-classified regions. Masses of experiments show that our multispectral imaging method is device-independent to
a large extent, and the segmentation results are highly satisfactory and inspiring. It proves that the introduction of
multispectral imaging analysis techniques into White Blood Cells detection is a success. Multispectral imaging
analysis is a promising technique in biomedicine.
This paper presents an application of wireless sensor networks (WSN) to an in-service motor monitoring
and energy management system. Based on the IEEE 802.15.4 standard, wireless sensor devices are developed in the
proposed system. The motor current and voltage signals are acquired and analyzed by a DSP device to get the
condition of motors, and the results are transmitted over the wireless network to a central supervisory station (CSS),
where they are stored, displayed and analyzed to meet the requirement of motor monitoring and energy management.
This approach greatly reduces the transmission time. That makes the proposed system acceptable in real-time cases.
The wireless sensor devices are demonstrated and the test results are given.
The topology of a network often plays a crucial role in determining its dynamical features. There is
increasing interest in trying to understand the relationship between the structural properties of networks and their
behaviors. However, this problem has not been fully considered in many neural networks, which mimic certain
biological processes. Here, we construct a recurrent network model to simulate the decision-making process of brain.
In this model, we examined the effects of network topology on the performance of decision-making by constructing
three different topological networks: the regular network, the random network, and the small-world network. We
found that the regular network and the small-world network show significant better performance of decision-making
than that in the random network when the internal noise of the networks is low. However, following the increase of
the internal noise, the random network, instead of two other networks, shows better ability to resist the noise. Finally,
to mimic neurodegeneration or neural injury, we introduced two types of neuronal damages: clustered damage and
distributed damage. We found that three networks exhibit different network behaviors in the case of neuronal
damages. The regular network and the small-world network display severe decrease of the performance in the
distributed damage pattern, but not in the clustered damage pattern. The random network shows similarly gradual
decrease of the performance in both damage patterns. Furthermore, the small-world network shows the best
performance in the high levels of distributed damage. Together, our results indicate that network topology
significantly influence the network behaviors in our model of decision-making.
Compared to other methods, insulator’s contact angles detection can obtain more precise and more accurate hydrophobicity in parts of insulator, getting in-depth information like hydrophobicity of shed material, migration of the hydrophobicity after polluted insulator, attenuation and recovery characteristics of the insulation performance under certain conditions, all of which are its particular advantages. A new detection method of insulator’s performance is proposed in this paper with measuring contact angles. With this method, the boundary curve of water drop on insulator’s surface was extracted with image processing, then the polynomial fitting was deployed to fit the boundary curve, and contact angles of water drop were calculated by differentiate the polynomial deduced from the polynomial fitting. So the performance of the insulator can be detected and the process doesn’t need manual intervention which makes the detect result accurate and objective. Experiments show that the root mean square error of the measurement is below 2%.
The solenoid valve is a key control element of hydraulic system which plays a decisive role in the reliability and the level of automation of the equipment. An intelligentized, comprehensive and high efficient test system of solenoid valve is designed in this paper. The mathematical model of the test system is built after ignoring the unimportant factors, and the visual modeling is built with the AMESim software. Fuzzy turning PID controller which changes the three parameters of PID controller by the error and error's varieties of systems is used to control the system pressure; the performance of system is obtained by simulating with combining MATLAB/Simulink and AMESim. 5Bar, 15Bar and 25Bar are given as the target value, and the best controlling strategy after the analysis and comparison is got to improve the test efficiency and test results of solenoid valve.
Recently, several data storage schemes have been developed to store massive sensor data in the wireless sensor networks (WSNs). A crucial task of WSNs is to disseminate useful information to users efficiently and handle the data storage architecture incorporating their extreme resource constraints. A Distributed Index based Multi-resolution Storage Architecture (DIMSA) for data storage and retrieval at multiple levels of detail in WSNs is proposed in this paper. The proposed scheme could automatically disseminate useful information to users in correspondence to the user defined level of detail to save energy. In the condition that some attributes are included in many events, the values for these attributes have to be replicated and stored at different places in the network for each individual event in traditional data-centric storage schemes. This will consume some extra energy. To address this problem, DIMSA deploys an attribute allocation scheme for finding a good distribution of attributes to the sensor networks. In addition, a distributed index scheme is also proposed to avoid query flooding and extra data transmission. Analysis and simulations are conducted to evaluate the performance of the proposed scheme. The results show that DIMSA outperforms the traditional data-centric storage scheme like GHT.
The importance of synthetical optimization design for micro-components is continuously increasing with the development of MEMS, we present a new solution for synthetical optimization design by combining virtual prototype (VP), finite element method (FEM), rough set theory (RST), regression analysis (RA) and genetic algorithms (GA) in this paper. The VP and the FEM are used to design and analyze dynamic properties of coupled-energy-domain of abundant instances to obtain the data of variable, and the RST and the GA are used to confirm the variable number and restriction condition in synthetical optimization model; the RA and GA are adopted to establish the synthetical optimization model and obtain the optimal results. Meanwhile, the corresponding prototype system software of synthetical optimization design for micro-components is developed and applied to the synthetical optimization design of thermal actuated micro-pump to demonstrate the above new approach and prototype tools.