Improved D-IDS using the federated peer-to-peer architecture

A number of IDSs have been proposed for a networked or distributed environment. A modified D-IDS using federated peer-to-peer architecture, MCR （Multicast Reflector） and modified shaker protocol were proposed. The suggested scheme can be implemented easily and performs the information sharing between low-level IDS agents. As all users within a group monitor each other＇s, the common control server can perform detect intrusions with less cost and support the detection of the inside intruders.     

A fast construction method for spatial index GBD tree 

This paper proposes a fast initial construction method of the GBDtree. The GDB tree has proper characteristics for management of large amount of 2 or 3 dimensional data. However, the GBDtree needs long initial construction time by originally proposed onebyone insertion method. A fast insertion method has been proposed, but it needs large size of buffer capable to hold index information of all entries. The paper proposes another fast initial construction method. The method requires only limited size of work space (buffer). The experimental results show the initial construction time reduces into a third or a quarter of the onebyone insertion method. The memory efficiency and retrieval efficiency are also improved than the onebyone insertion method.     

An efficient electronic marketplace bidding auction protocol with bid privacy

The multiagent negotiation testbed proposed by Collins was modified. It utilizes publish/subscribe system, timerelease cryptography and anonymous communication. The proposed protocol reduces DOS attack and avoids replay data attack by providing ticket token and deal sequence number to the supplier. And it is proved that generating random number to the supplier by market is better than the supplier doing it by him in guaranteeing anonymity. Market publishes an interpolating polynomial for sharing the determination process data. It avoids collusion between a customer and a certain supplier. According to the comparison and analysis with other protocols, the proposed protocol shows good security and better efficiency.      

Design of a 3 tier smart middleware system for ubiquitous sensor networks

The multiagent negotiation testbed proposed by Collins was modified. It utilizes publish/subscribe system, timerelease cryptography and anonymous communication. The proposed protocol reduces DOS attack and avoids replay data attack by providing ticket token and deal sequence number to the supplier. And it is proved that generating random number to the supplier by market is better than the supplier doing it by him in guaranteeing anonymity. Market publishes an interpolating polynomial for sharing the determination process data. It avoids collusion between a customer and a certain supplier. According to the comparison and analysis with other protocols, the proposed protocol shows good security and better efficiency.     

A self-adaptive synchronization controller for Liu chaotic systems

A kind of synchronization controller for Liu chaotic systems whose nonlinear components are subject to Lipschitz condition was proposed. By using Lyapunov function and linear matrix inequality technique, a selfadaptive synchronization controller was constructed for Liu chaotic systems. There are two components of our derived synchronization controller: linear and nonlinear component. Linear component is composed of errors of the state variables between drivingsystems and respondingstems, and nonlinear component is a selfadaptive synchronization controller. a proof was given for proving the feasibility of this method, and numerical simulations of Liu chaotic systems show its effectiveness. Furthermore, this method can be applied to other chaotic systems, such as Chen systems, Lorenz systems, Chua systems and Rssler systems,etc.     

A novel algorithm of channel resource allocation in wide band WLAN

With the development of Wideband wireless communications, MAC protocol in IEEE 802.11 can’t satisfy userindividual quality of service (QoS) guarantees effectively and can’t support highspeed mobility. A novel algorithm for channel allocation in Wideband WLAN and an improved resource reservation mechanism applied into IEEE 802.11 MAC protocol are proposed in this article. The simulated results indicate that the advanced protocol makes the system throughput improved and delay decrease. Moreover, the improved system shows an excellent performance in the environment with highspeed mobility.     

3-PRS serial-parallel machine tool error calibration and parameter identification

3PRS serialparallel machine tool consists of a 3degreeoffreedom (DOF) implementation platform and a 2DOF XY platform. The error modeling and parameter identification methods were deduced based on 3PRS serialparallel machine tool. 3PRS serialparallel machine tool was researched, 〖JP2〗and the mechanism of error analysis, modeling, identification of error parameters and measurement equipment for the use of agency error of measurement were conducted. In order to achieve the geometric parameters calibration and error compensation of the serialparallel machine tool, the nominal structural parameters of the controller was adjusted by identifying the structure of the machine tool. With the establishment of a vector space size chain, we can do the error analysis, error modeling, error measurement and error compensation can be done.     

Optimal algorithms for scheduling large scale application on heterogeneous systems

This paper studies optimal algorithms for scheduling largescale application on heterogeneous systems using Divisible Load Theory. A more realistic and general model, i.e., both processors and communication links may have different speeds and arbitrary startup costs, and communication is in nonblocking mode, is introduced. Under such environment, the following results are obtained: ①Mathematic model and closedform expressions both for the processing time and the fraction of load for each processor are derived;②the influence of startup costs on the optimal processing time is analyzed; ③for a given heterogeneous systems and a largescale computing problem, optimal algorithms are proposed.     

Design and simulation about a self-Tuning fuzzy PID controller

Fuzzy logic has attracted the attention of structural control engineers during the last few years, because fuzzy logic can handle nonlinearities, uncertainties, and heuristic knowledge effectively and easily. In this paper, a selfTuning fuzzyPID control method which used the technology of the fuzzy control and PID control unified is presented. These techniques can visualize the results and processes for structure stress. These techniques will also provide convenience for engineers and users, and have high practical values. The MATLAB simulation result shows that the system precision and the efficiency are very high and the static error is small, and robustness was also validated.     

Small unmanned helicopters attitude controller by an on line adaptive fuzzy control system

Since small unmanned helicopter flight attitude control process has strong timevarying characteristics and there are random disturbances, the conventional control methods with unchanged parameters are often unworkable. An online adaptive fuzzy control system (AFCS) was designed, in a way that does not depend on a process model of the plant or its approximation in the form of a Jacobian matrix. Neither is it necessary to know the desired response at each instant of time. AFCS implement a simultaneous online tuning of fuzzy rules and output scale of fuzzy control system. The two cascade controller design with an inner (attitude controller) and outer controller (navigation controller) of the small unmanned helicopter was proposed. At last, an attitude controller based on AFCS was implemented. The flight experiment showed that the proposed fuzzy logic controller provides quicker response, smaller overshoot, higher precision, robustness and adaptive ability. It satisfies the needs of autonomous flight.     

Modified fuzzy point estimate method and its application to slope reliability analysis

A slope engineering system is a complex system, in which many uncertainties exist, including random uncertainties and fuzzy uncertainties. Traditionally, random uncertainties were often considered, while fuzzy uncertainties were ignored. Therefore,fuzzy-random methods should be proposed. A fuzzy point estimate method was proposed by Dodagoudar, that is, considering the effect of fuzzy-random factors, the fuzzy-random limit state function of slopes is changed to random interval limit state function by the λ level cutting, then the moments of the function can be obtained by the Rosenblueth's method, and the stability state of slopes can be evaluated by synthesizing a group of moments. But in Dodagoudar's method, Rosenblueth's state function is composed of only two kinds of combinations of parameters rather than 2n kinds of combinations. So a modified fuzzy point estimate method is proposed by the authors, and it is used in a slope reliability analysis.     

二维布尔运算

In this paper, a mechanismic analysis was made on singular condition of multipoints and multiedges in boolean operation. On the basis of intersection points eigenvalue, the problem of quadruplepoint and multiedges was addressed, and a complete solution for the singular problem on 2D boolean operation was given in a simple way.     

Audio Segmentation via the Similarity Measure of Audio Feature Vectors

A formula to compute the similarity between two audio feature vectors is proposed, which can map arbitrary pair of vectors with equivalent dimension to [0,1）. To fulfill the task of audio segmentation, a self-similarity matrix is computed to reveal the inner structure of an audio clip to be segmented. As the final result must be consistent with the subjective evaluation and be adaptive to some special applications, a set of weights is adopted, which can be modified through relevance feedback techniques. Experiments show that satisfactory result can be achieved via the algorithm proposed in this paper.     

An improved digital watermarking scheme combining with PKC 

Digital watermarking is the enabling technology to prove ownership on such copyrighted product as software, documents, music, and video, monitor the usage of them, and even trace them back to the user with embedding of unique buyer identification(ID) as a part of watermark into them. This thread of detection will deter users from releasing unauthorized copies. A problem arises when the seller is dishonesty, he has a chance to use the digital watermarking with the buyer ID maliciously and make the buyer receive falseaccusation. In this paper, an improved digital watermarking scheme is introduced to prevent falseaccusation to an honest buyer, which is combined with the advantage of PKC(public key certificate) so that it fits the online transaction and helps to realize secure ecommerce. In addition, the extended application of this scheme is discussed.      

Support vector machine based on chaos particle swarm optimization for fault diagnosis of rotating machine

The performance of the support vector machine models depends on a proper setting of its parameters to a great extent. A novel method of searching the optimal parameters of support vector machine based on chaos particle swarm optimization is proposed. A multifault classification model based on SVM optimized by chaos particle swarm optimization is established and applied to the fault diagnosis of rotating machines. The results show that the proposed fault classification model outperforms the neural network trained by chaos particle swarm optimization and least squares support vector machine, and the precision and reliability of the fault classification results can meet the requirement of practical application. It indicates that chaos particle swarm optimization is a suitable method for searching the optimal parameters of support vector machine.     

Data acquisition, analysis and applications of multi-sensor integration

This paper presents some key techniques for multisensor integration system, which is applied to the intelligent transportation system industry and surveying and mapping industry, e.g. road surface condition detection, digital map making. The techniques are synchronization control of multisensor, spacetime benchmark for sensor data, and multisensor data fusion and mining. Firstly, synchronization control of multisensor is achieved through a synchronization control system which is composed of a time synchronization controller and some synchronization subcontrollers. The time synchronization controller can receive GPS time information from GPS satellites, relative distance information from distance measuring instrument and send spacetime information to the synchronization subcontroller. The latter can work at three types of synchronization mode, i.e. active synchronization, passive synchronization and time service synchronization. Secondly, spacetime benchmark can be established based on GPS time and global reference coordinate system, and can be obtained through position and azimuth determining system and synchronization control system. Thirdly, there are many types of data fusion and mining, e.g. GPS/Gyro/DMI data fusion, data fusion between stereophotogrammetry and PADS, data fusion between laser scanner and PADS, and data fusion between CCD camera and laser scanner. Finally, all these solutions presented in paper have been applied to two areas, i.e. landborne intelligent road detection and measurement system and 3D measurement system based on unmanned helicopter. The former has equipped some highway engineering Co., Ltd. and has been successfully put into use. The latter is an ongoing research.     

Temperature Control and Simulation of TemperatureAltitude Test System

The temperatureAltitude Test System (TATS) supplies various testing environments. The traditional PID method controls the temperature in TATS TemperaturePressure Cabin (TPC) over a long adjusting time and with a large overshoot. In order to solve this problem simply, a temperature control strategy with temperature difference corresponding factors is presented through a dynamic analysis and modeling of TPC temperature change. The TPC temperature descending process is simulated, and the results show that this control strategy can allot the proportion of PID heating controller and PID cooling controller in the whole control process and TPC temperature can be controlled at a set point quickly and effectively.     

A modified algorithm for SAR parallel imaging

Synthetic aperture radar can provide two dimension images by converting the acquired echoed SAR signal to targets coordinate and reflectivity. With the advancement of sophisticated SAR signal processing, more and more SAR imaging methods have been proposed for synthetic aperture radar which works at near field and the Fresnel approximation is not appropriate. Time domain correlation is a kind of digital reconstruction method based on processing the synthetic aperture radar data in the twodimensional frequency domain via Fourier transform. It reconstructs SAR image via simply correlation without any need for approximation or interpolation. But its high computational cost for correlation makes it unsuitable for real time imaging. In order to reduce the computational burden a modified algorithm about time domain correlation was given in this paper. It also can take full advantage of parallel computations of the imaging processor. Its practical implementation was proposed and the preliminary simulation results were presented. Simulation results show that the proposed algorithm is a computationally efficient way of implementing the reconstruction in real time SAR image processing.     

Modified binary particle swarm optimization

This paper presents a modified binary particle swarm optimization （BPSO） which adopts concepts of the genotype-phenotype representation and the mutation operator of genetic algorithms. Its main feature is that the BPSO can be treated as a continuous PSO. The proposed BPSO algorithm is tested on various benchmark functions, and its performance is compared with that of the original BPSO. Experimental results show that the modified BPSO outperforms the original BPSO algorithm.     

Implementation of spatial touch system using time-of-flight camera

Recently developed timeofflight principle based depthsensing video camera technologies provide precise perpixel range data in addition to color video. Such cameras will find application in robotics and visionbased human computer interaction scenarios such as games and gesture input systems. Timeofflight principle range cameras are becoming more and more available. They promise to make the 3D reconstruction of scenes easier, avoiding the practical issues resulting from 3D imaging techniques based on triangulation or disparity estimation. A spatial touch system was presented which uses a depthsensing camera to touch spatial objects and details on its implementation, and how this technology will enable new spatial interactions was speculated.