Atomic and efficient e-cash transaction protocol

Atomicity is necessary for reliable and secure electronic commerce transaction and to guarantee the participants' interests. An atomic and efficient e-cash (electronic cash) transaction protocol based on the classical e-cash scheme is presented. The delivery of digital goods is incorporated into the process of payment in the protocol. Apart from ensuring all three levels of atomicity, the novel protocol features high efficiency and practicability with unfavorable strong assumption removed. Furthermore, the proposed protocol provides non-repudiation proofs for any future disputes. At last, analysis of the atomicity and efficiency is illustrated.     

Cooperative Mechanism of Supply Chain Under Asymmetric Information

Abstract: The cooperative mechanism is one main issue in the decentralized supply chain system, especially in an asym-metric information structure. We analyze the non-cooperative game behavior of a 2-echelon distribution supply chain,compare the results with the system optimal solution, and give the supplier dominated cooperative mechanisms. We alsoanalyze the validity of our contract under the asymmetric retailers' holding cost information and give some useful conclu-sions.     

A Target Recognition Approach to Projecting HRR Profiles onto Subspace

Abstract: A array of the azimuthally averaged range-profile vectors and the inter-class and intra-class divergence matrixesare constructed iwth many frames of the high resolution range profiles which result from radar echoes of airplanes. Takingthe methods of whitening transformation and SVD produces a system of subspace vectors for target recognition. Where-upon, a template library for target recognition is built by the projection of a class-mean vector made from the radar dataonto the subspace for recognition. By Euclidean distance, a comparison is made between the above projection and eachtemplate in the library, to decide which class the target belongs to. Finally, simulations with the experimental radar dataarte given to show that the proposed method is robust to variation in azimuth and immune to additive Gaussian noisewhen SNR≥5dB.     

An Evolutionary Real-Time 3D Route Planner for Aircraft

Abstract: A novel evolutionary route planner for aircraft is proposed in this paper. In the new planner, individual candi-dates are evaluated with respect to the workspace, thus the computation of the configuration space is not required. By usingproblem-specific chromosome structure and genetic operators, the routes are generated in real time, with different missionconstraints such as minimum route leg length and flying altitude, maximum turning angle, maximum climbing/diving an-gle and route distance constraint taken into account.     

Non-Minimum Phase Nonlinear System Predictive Control Based on Local Recurrent Neural Networks

Abstract: After a recursive multi-step-ahead predictor for nonlinear systems based on local recurrent neural networks isintroduced, an intelligent PID controller is adopted to correct the errors including identified model errors and accumulatederrors produced in the recursive process. Characterized by predictive control, this method can achieve a good controlaccuracy and has good robustness. A simulation study shows that this control algorithm is very effective.     

PO Solution for Scattering by the Complex Object Coated with Anisotropic Materials

1 .INTRODUCTIONItisknownthatphysicaloptics(PO)hasbeenwidelyusedinfastpredictionofradarcrosssection (RCS)ofacomplexconductingorcoatedobject.POisadoptedwithoutexceptionamongtheissuedfamouscomputa tionalsoftwareofhigh frequencyEMscatteringbyacomplexobjectsuchasRECOTA[1 ] ,GRECO[2 ,3] ,X PATCH[4] ,whereonlytheisotropiccoatingisconcerned .However,theanisotropiccoatingencoun teredinsomepracticalapplicationsimpelsonetofindthesuitablesolutionforhigh frequencyscatteringbytheobjectcoatedwi…     

Wireless Location Determination for Mobile Objects Based on GSM in Intelligent Transportation Systems

1 .INTRODUCTIONTheabilityofpositioningmobileobjects (MOs) ,in cludingvehiclesandtravelersholdingmobiletermi nals,isafundamentalfunctionforsomeITSsubsys tems,suchasemergencyrescue,securitysystem ,au tomaticnavigationsystem ,andtrafficinducementsystem[1 ] .Atpresent,therearethreedominatingtypes[2 ]ofwirelesspositioningtechnologies,i.e.positioningbasedonsatellites,positioningbasedondedicatedcommunicationsystemsandpositioningbasedonpub liclandwirelesstelecommunicationsystems (PLMTS) ,respe…     

Equivalent Time-Domain Representation and Uplink Channel Estimator for Multicarrier CDMA Systems

Many blind channel estimation methods have been proposed for direct sequence (DS) code-division multiple access (CDMA) systems, so we can certainly use them to estimate the finite impulse response (FIR) channel for the multi-carrier (MC-) CDMA system. In this paper, the MC-CDMA system is interpreted as an equivalent time-domain DS-CD-MA system with specific spreading codes. Then, an equivalently time-domain blind channel estimator is derived for the     

Performance Analysis of the Dynamic CSMA/CD Protocol in a Wireless Channel

In wireless networks, packet access is a popular mode, and the key problem is how to improve throughput and access delay performance, especially the throughput for wireless channels. These results will be a reference for not only a wireless channel but also a common MAC protocol.     

Face Recognition Based on Support Vector Machine and Nearest Neighbor Classifier

Support vector machine (SVM), as a novel approach in pattern recognition, has demonstrated a success in face detection and face recognition. In this paper, a face recognition approach based on the SVM classifier with the nearest neighbor classifier (NNC) is proposed. The principal component analysis (PCA) is used to reduce the dimension and extract features. Then one-against-all stratedy is used to train the SVM classifiers. At the testing stage, we propose an al-