Objective To design an authentication method for passive RFID tag.Methods Taking the weak computing ability of passive tags into account,the simple and efficient Hash function was used for computing and comparing.Results Two-way authentication between the reader and RFID tags was realized,which could protect the safety of our military logistics.Conclusion This method can effectively improve the security of the RFID tags of military supplies during the war.

Objective To design an efficient IP address automatic assigned algorithm based on AVL balanced binary tree. Methods The algorithm defined the correspondence of AVL balanced binary tree and IP address.By using the high degree balance characterization of AVL tree,IP address was restricted in a reasonable range.Results The algorithm achieved the automatic allocation and recovery of IP address without a central server.Conclusion The algorithm can be effectively used for the mobile ad hoc network in the poor wartime environment.

The Local Binary Fitting(LBF) model based on local region information has its certain advantages in image segmentation of weak boundary or uneven greay.But,the segmentation results are very sensitive to the initial contours,and improper initial contour can directly lead to segmentation failure.Thus,a fast and stable LBF approach was proposed.First,after adding the area item with variable weights to the traditional LBF model,better initial contour could be obtained than manual one.Second,the traditional LBF model would be used for further segmentation.The experimental results show that,under the precondition of preferable results,this method can not only get promising segmentation results with flexible initial contour selection,but also faster than the traditional LBF model.

In intensity inhomogeneity image segmentation,the Adaptive Distance Preserving Level Set Evolution(ADPLS) algorithm can get a result with high speed,low accuracy and has no relation to initial contour,on the other hand,the Local Binary Fitting(LBF) algorithm can get a result with high accuracy,low speed and its result is sensitive to initial contour.Thus,a novel and adaptive fusing level set method is proposed to make use their advantages respectively,which can automatically adjust the proportion of ADPLS and LBF in the fusing method according to image information.Experiment results show that the comprehensive performance indicators,such as accuracy,speed and stability can be significantly improved in the fusing method.

The function of TacmedCS and EvacSys of US army is introduced,and the update process and the test results are reviewed.Thus,some discussions and advices are proposed to integrate the limited field information resource to avoid some non-necessary steps and blind construction in the medical and evacuation system.

In order to overcome the shortcoming of Fuzzy C-means(FCM) that cannot deal with image noise and weaknesses of its common improved algorithms,an improved FCM algorithm using the difference of neighborhood information was proposed in this paper,which used Gaussian function to characterize the difference of space and gray value about neighborhood pixels reasonably,and to adjust the center pixel membership to achieve the purpose of noise image segmentation.The experimental results show that the proposed algorithm can effectively deal with the images with Gaussian and Pepper Salt noise,and can remove the noise while retaining more complete details of image.Its segmentation results are better than several improved FCM algorithms in the literatures.

In order to overcome the shortcomings of being monitored,interfered and damaged that may be occurred in transmitting mass casualty evacuation with wireless communication in front-line,a simplified but efficient information coding scheme is derived to transform complex casualty information into short and safe characters,which is very adapt to wireless communication quickly and safely in battlefield,by using the same information coding table of casualty.Experiments showed that the information coding scheme may prevent the enemy from capturing important casualty information farthest,and improve the capability in curing and the medical service support.

Objective To solve the threshold parameter selection problems between over-segmentation and less-segmentation in simplified region growing pulse coupled neural network(PCNN).Methods Image information was introduced to the simplified region growing PCNN described by the concept of entropy.Results The selection of threshold parameter was avoided.Conclusion It is demonstrated that the PCNN modified algorithm based on image information is better than simplified region growing PCNN algorithm in segmentation accuracy and stability of the algorithm.

基于区域几何活动轮廓模型已经成为目前最流行的图像分割方法之一。本文主要介绍了自Mumford-Shah模型提出以来基于区域几何活动轮廓模型的发展演变过程,分析其中几种典型模型,并对他们的优缺点加以评述,最后指出进一步的发展方向。