International Journal of Intelligent Engineering and Systems

8

Authors: Jie Li, Hexu Sun, Zhaoming Lei

SRM has become an attractive alternative in adjustable speed drive due to its simplicity in both motor construction and power converter, and vibration that causes acoustic noise in SRM have generated intense interest from the time it became commercially competitive with dc and ac drives. Basically, there are two conventional ways to reduce the noise: optimize the physical structure of the motor, or, choose appropriate control strategies. In this paper, a new method is proposed to combine these two optimization ways together: harmony optimization of SRM. Physical design is mainly aiming at the back iron thickness and the air gap length of the motor. Control optimization is about the control mode, turn-on and the turn-off angle which affects the power factor strongly. Based on the same cooper losses, the mathematics analysis and finite element simulation are carried out. The results show that the harmony optimization will reduce the vibration and torque ripple in a large extent without extra power losses.

8

Authors: Peng Yang, Shujuan Zhu

The electric care bed control system is divided into three modules, which are physiologic parameter detection module, human-computer interaction module and motor drive module (MDM). Those modules communicate with each other by controller area network (CAN) bus. Under the idea of modular design, a plug and play (PnP) multifunctional motor drive module (MDM) is developed. This MDM has a CAN interface which can make it possible to communicate with human-computer interaction module, and then control the position closed-loop and speed closedloop. The MDM based on CAN bus will be more efficient in communication and system expansion and make the electric care bed function perfectly.

8

Authors: Yang Yu, Chao Han

Shield is a typical mechanical, electrical, hydraulic integration of equipment. Its faults species are complex and diverse. To prevent because machine failure causes economic losses and casualties by shield, this article will introduces rough set theory to the subway shield machine fault diagnosis, propose a method which is based on rough set theory combined with neural network of Metro shield machine fault diagnosis. Use the strong advantage of rough sets theory in attribute reduction, and remove the data redundancy of information which is not effective for decisionmaking. Application of neural network algorithm to reduce date for diagnosis, the method can effectively improve the speed and accuracy of the diagnosis. Then use BP neural network combined with least square method to forecast fault, the least-square can reflect the trend of linear sequence, Neural network can seize the variation of nonlinear time series, therefore the combination of two methods could well predict the future of unit operating conditions.

7

Authors: Chao Gao, Jianhua Lu, Guorong Zhao, Shuang Pan

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.

8

Authors: Shurui Fan, Fei Li, Jie Li, Hexu Sun

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.

9

Authors: Yali Lv, Shizhong Liao

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 experiments.

7

Authors: Shanjun Zhang, Kazuyoshi Yoshino, Hongbing Zhu

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.

8

Authors: Guoqing Xu, Yangsheng Wang, Jituo Li, Xiaoxu Zhou

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.

8

Authors: Chao Gao, Guorong Zhao, Shuang Pan, Jianjun Zhou

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 anisotropic topologies.

8

Authors: Kazuya Takemori, Dennis Arturo Ludeña Romaña, Shinichiro Kubota, Kenichi Sugitani, Yasuo Musashi

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.

8

Authors: Dennis Arturo Ludeña Romaña, Shinichiro Kubota, Kenichi Sugitani, Yasuo Musashi

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.

8

Authors: Qiongshui Wu, Libo Zeng, Ningning Guo

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.

10

Authors: Suojun Lu, Jian'an Fang, Qingying Miao

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.