development of success measures for CHKMSWord文档格式.docx

1、Related reference work articles Purchase$ 37.95731Audio steganalysis with Hausdorff distance higher order statistics using a rule based decision tree paradigmExpert Systems with Applications, Volume 37, Issue 12, December 2010, Pages 7469-7482S. Geetha, N. Ishwarya, N. KamarajClose previewAbstractAb

2、stract | Figures/TablesFigures/Tables | ReferencesReferences AbstractThe aim of this paper is to construct a practical forensic steganalysis tool for audio signals that can properly analyze the statistics disturbed by stego embedding and classify them to selected current steganographic methods. The

3、objective of this paper is to prove that the choice of effective stego sensitive features and a proficient machine learning paradigm enhances the detection accuracy of the steganalyser. In this paper a rule based approach with a family of six decision tree classifiers viz., Alternating Decision Tree

4、, Decision Stump, J48, Logical Model Tree, Nave Bayes Tree and Fast Decision Tree learner, to perform the detection of audio subliminal channel is introduced. In particular the higher order statistics extracted from the Hausdorff distance are investigated for an improvement of the detection performa

5、nce, as competent audio steganalytic features. The evaluation of the enhanced feature space and the decision tree paradigm, on a database containing 4800 clean and stego audio files is performed for classical steganographic as well as for watermarking algorithms. With this strategy it is shown how g

6、eneral forensic approach can detect information hiding techniques in the field of covert communication as well as for DRM applications. For the latter case, the detection of the presence of a potential watermark in a specific feature space can lead to new attacks or to a better design of the waterma

7、rking pattern.Article Outline1. Motivation and the application scenario of audio steganalysis2. Literature review3. Proposed steganalyser 3.1. Preprocessing of the audio signal3.2. Feature extraction3.3. Post-processing of the resulting feature vectors3.4. Machine learning paradigm4. Test scenario 4

8、.1. Test sets and test set-up 4.1.1. Information hiding algorithms used4.1.2. Test files4.1.3. Machine learning paradigm used4.2. Test procedure 4.2.1. Pre-processing of the audio data4.2.2. Feature extraction form the signal4.2.3. Post-processing of the resulting feature vectors4.2.4. Analysis4.3.

9、Results and discussion4.4. Influence of embedding rate5. Summary and conclusionsAcknowledgementsReferences$ 41.95732Control of linear motor machine tool feed drives for end milling: Robust MIMO approachMechatronics, Volume 15, Issue 10, December 2005, Pages 1207-1224Chintae Choi, Tsu-Chin TsaoLinear

10、 motors are getting promising for use as high speed, high accuracy machine tool feed drives. The cutting force in the machining process are directly reflected to the linear motor due to no gearing mechanism. To achieve high accuracy machining, the controller for the linear motor system should be des

11、igned to compensate for the cutting force. In this work, a MIMO H controller for the linear motor machine tool feed drives has been designed to reduce tracking errors induced by cutting forces for end milling. The controller is designed using normalized coprime factorization method for the dynamic m

12、odel of the linear motor system. The model includes constant in-line and cross coupling force gain, since the feedback cutting force can be considered as the product of the constant gain and the moving velocity of each axis. Analysis of the structured singular value shows that the designed controlle

13、r has good robust performance despite wide variations of the cutting force and physical parameters. It is directly implemented on a linear motor XY table which is mounted on a milling machine to have cutting experiments via a DSP board. Experimental results verified effectiveness of the proposed sch

14、eme to suppress the effects of the cutting force in the high feed rate.1. Introduction2. Modeling of the linear motor system3. H loop shaping controller design4. Analysis of robustness5. Experimental results6. Conclusions$ 31.50733Capacitive sensor-based fluid level measurement in a dynamic environm

15、ent using neural networkEngineering Applications of Artificial Intelligence, Volume 23, Issue 4, June 2010, Pages 614-619Edin Terzic, C.R. Nagarajah, Muhammad AlamgirA measurement system has been developed using a single tube capacitive sensor to accurately determine the fluid level in non-stationar

16、y tanks, namely automotive fuel tanks. The system determines the fluid level in the presence of dynamic slosh. A neural network-based approach is used to process the sensor signal and achieve substantial accuracy compared with the averaging method, which is normally used under such conditions. The s

17、ensor readings were obtained by experimentation carried out under various dynamic conditions. The sensor response was recorded at various slosh frequencies and fuel volumes; which was then used to train three different neural network topologies. Field trials were carried out to obtain the actual dri

18、ving data for the purpose of testing the neural networks using MATLAB software. One static neural network topology, namely Feed-forward Backpropagation Neural Network, and two dynamic neural network topologies, namely Distributed Time Delay Neural Network and NARX Neural Network, have been investiga

19、ted in this work. The developed fluid level measurement system is capable of determining the fluid level in a dynamic environment with a maximum error of 8.7% by using the two dynamic neural networks, and 0.11% using the static feed-forward backpropagation neural network.2. Neural network-based appr

20、oach3. Network topologies 3.1. Static feed-forward network3.2. Dynamic neural network4. Experimental setup 4.1. Training data4.2. Test data5. Simulation results6. Summary7. Future work$ 24.95734Standardization of islet isolation outcome A new automatic system to determine pancreatic islet viabilityE

21、xpert Systems with Applications, Volume 38, Issue 4, April 2011, Pages 3461-3466Giada La Scalia, Giuseppe Aiello, Cristiana RastelliniPancreatic islet transplantation is emerging as a therapeutic approach for patients affected by diabetes. This approach consists of a minimally invasive procedure rep

22、lacing insulin-producing cells （pancreatic islets）. The technique has been proven successful, but limitations have been identified. One of the major challenges of the procedure is the counting of the isolated pancreatic islets, which is currently jeopardized by subjectivity and inaccuracy. Determina

23、tion of the accurate islet number is a crucial factor in determining the correlation between the isolation product and clinical outcome. In the proposed study, we have developed software capable of objectively evaluating islet numbers and other viability variables by image analysis. This software is

24、 based on image processing and feature extraction algorithms for recognition of the area of interest. This is the first step toward standardization of the isolation outcome and potential clinical success predictability.2. Theory3. Methods 3.1. Image analysis3.2. Image acquisition3.3. Image processin

25、g4. Feature extraction5. Results and discussion6. ConclusionResearch highlights Automatically determine the amount and the size of islets of Langerhans. Standardization of the counting of the isolated pancreatic islets. Implementation of additional indicators.735A pixellated -camera based on CdTe de

26、tectors clinical interests and performancesNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Volume 448, Issue 3, 1 July 2000, Pages 537-549J. Chambron, Y. Arntz, B. Eclancher, Ch. Scheiber, P. Siffert, M. Hage Hali, R. Re

27、gal, A. Kazandjian, V. Prat, S. Thomas, S. Warren, R. Matz, A. Jahnke, M. Karman, A. Pszota, L. NemethA mobile gamma camera dedicated to nuclear cardiology, based on a 15cm15cm detection matrix of 2304 CdTe detector elements, 2.83mm2.832mm, has been developed with a European Community support to academic and industrial research centres. The intrinsic properties of the semiconductor crystals low-ionisation energy, high-energy resolution, high attenuation coefficient are potentially attractive to improve the -camera performances. But their use as detectors for medical imag