This paper presents a universal scheme （also called blind scheme） based on fractal compression and affinity propagation （AP） clustering to distinguish stego-images from cover grayscale images, which is a very chal...This paper presents a universal scheme （also called blind scheme） based on fractal compression and affinity propagation （AP） clustering to distinguish stego-images from cover grayscale images, which is a very challenging problem in steganalysis. Since fractal codes represent the ＂self-similarity＂ features of natural images, we adopt the statistical moment of fractal codes as the image features. We first build an image set to store the statistical features without hidden messages, of natural images with and and then apply the AP clustering technique to group this set. The experimental result shows that the proposed scheme performs better than Fridrich＇s traditional method.展开更多
Objective： To elucidate protein markers that differentiate stage I non-small cell lung cancer （NSCLC） that subsequently develop metastatic disease to those that do not develop metastasis by protein expression profi...Objective： To elucidate protein markers that differentiate stage I non-small cell lung cancer （NSCLC） that subsequently develop metastatic disease to those that do not develop metastasis by protein expression profiles. Methods： Matrix assisted laser desorption/ionization time-of-flight mass spectrometry （MALDI-TOF MS） and two dimensional difference gel electrophoresis （2D-DIGE） platforms were used to separate proteins in whole tumor specimens. Quantitating mRNA expression was used for validation. Results： Twelve proteins were identified as expressed differentially between two groups from protein expression platforms. But from gene expression platform no marker could distinguish patients with recurrent vs. nonrecurrent disease. Conclusion： Analysis of multiple protein markers may be more informative to predict prognosis of early stage lung cancer.展开更多
Because of limited resource of embedded platforms, the computational complexity of advanced control algorithms raises significant challenges for the use of embedded systems in complex control field. A Scilab/Scicos ba...Because of limited resource of embedded platforms, the computational complexity of advanced control algorithms raises significant challenges for the use of embedded systems in complex control field. A Scilab/Scicos based embedded controller is developed on which various control software can be easily modeled, simulated, implemented, and evaluated to meet the ever-expanding requirements of industrial control applications. Built on the Cirrus Logic EP9315 ARM systems-on-chip board, this embedded controller is possible to develop complex embedded control systems that employ advanced control strategies in a rapid and cost-efficient fashion. Due to the free and open source nature of the software packages used, the cost of the embedded controller is minimized.展开更多
基金supported by the National Natural Science Foundation of China under Grant No. 61070208the Postdoctor Foundation from North Electronic Systems Engineering Corporation
文摘This paper presents a universal scheme （also called blind scheme） based on fractal compression and affinity propagation （AP） clustering to distinguish stego-images from cover grayscale images, which is a very challenging problem in steganalysis. Since fractal codes represent the ＂self-similarity＂ features of natural images, we adopt the statistical moment of fractal codes as the image features. We first build an image set to store the statistical features without hidden messages, of natural images with and and then apply the AP clustering technique to group this set. The experimental result shows that the proposed scheme performs better than Fridrich＇s traditional method.
文摘Objective： To elucidate protein markers that differentiate stage I non-small cell lung cancer （NSCLC） that subsequently develop metastatic disease to those that do not develop metastasis by protein expression profiles. Methods： Matrix assisted laser desorption/ionization time-of-flight mass spectrometry （MALDI-TOF MS） and two dimensional difference gel electrophoresis （2D-DIGE） platforms were used to separate proteins in whole tumor specimens. Quantitating mRNA expression was used for validation. Results： Twelve proteins were identified as expressed differentially between two groups from protein expression platforms. But from gene expression platform no marker could distinguish patients with recurrent vs. nonrecurrent disease. Conclusion： Analysis of multiple protein markers may be more informative to predict prognosis of early stage lung cancer.
基金supported in part by the National Natural Science Foundation under Grant No.61070003,No.61272020,and No.61071128Zhejiang Provincial Natural Science Foundation under Grant No.R1090052 and No.Y1101184
文摘Because of limited resource of embedded platforms, the computational complexity of advanced control algorithms raises significant challenges for the use of embedded systems in complex control field. A Scilab/Scicos based embedded controller is developed on which various control software can be easily modeled, simulated, implemented, and evaluated to meet the ever-expanding requirements of industrial control applications. Built on the Cirrus Logic EP9315 ARM systems-on-chip board, this embedded controller is possible to develop complex embedded control systems that employ advanced control strategies in a rapid and cost-efficient fashion. Due to the free and open source nature of the software packages used, the cost of the embedded controller is minimized.
