A non-labeled DNA biosensor based on light addressable potentiometric sensor modified with TiO2 thin film

Titanium dioxide (TiO_2) thin film was deposited on the surface of the light addressable potentiometric sensor (LAPS) to modify the sensor surface for the non-labeled detection of DNA molecules. To evaluate the effect of ultraviolet (UV) treatment on the silanization level of TiO_2 thin film by 3-aminopropyltrietboxysilane (APTS), fluorescein isothiocyanate (FITC) was used to label the amine group on the end of APTS immobilized onto the TiO_2 thin film. We found that, with UV irradiation, the silani-zation level of the irradiated area of the TiO_2 film was improved compared with the non-irradiated area under well-controlled conditions. This result indicates that TiO_2 can act as a coating material on the biosensor surface to improve the effect and effi-ciency of the covalent immobilization of biomolecules on the sensor surface. The artificially synthesized probe DNA molecules were covalently linked onto the surface of TiO_2 film. The hybridization of probe DNA and target DNA was monitored by the recording of Ⅰ-Ⅴ curves that shift along the voltage axis during the process of reaction. A significant LAPS signal can be detected at 10 μmol/L of target DNA sample.     

Identification of diesel front sound source based on continuous wavelet transform

Acoustic signals from diesel engines contain useful information but also include considerable noise components. To extract information for condition monitoring purposes, continuous wavelet transform (CWT) is used for the characterization of engine acoustics. This paper first reviews CWT characteristics represented by short duration transient signals. Wavelet selection and CWT are then implemented and wavelet transform is used to analyze the major sources of the engine front's exterior radiation sound. The research provides a reliable basis for engineering practice to reduce vehicle sound level. Comparison of the identification results of the measured acoustic signals with the identification results of the measured surface vibration showed good agreement.     

Identification of diesel front sound source based on continuous wavelet transform

Acoustic signals from diesel engines contain useful information but also include considerable noise components.To extract information for condition monitoring purposes, continuous wavelet transform (CWT) is used for the characterization of engine acoustics. This paper first reviews CWT characteristics represented by short duration transient signals.Wavelet selection and CWT are then implemented and wavelet transform is used to analyze the major sources of the engine front's exterior radiation sound. The research provides a reliable basis for engineering practice to reduce vehicle sound level.Comparison of the identification results of the measured acoustic signals with the identification results of the measured surface vibration showed good agreement.     

Optical encryption with cascaded fractional wavelet transforms

INTRODUCTION Recently, with the development of science andtechnology, more and more people become interestedin researching image encryption techniques. Manymethods have been proposed for optical image en-cryption. Random phase encoding methods and digi-tal holography techniques are effectively used inencrypting (Javidi and Nomura, 2000; Unnikrishnanet al., 2000a; Hennelly and Sheridan, 2003; Nishchalet al., 2004). Meantime some important properties oflight are used to realize encryptio…     

Method and application of wavelet shrinkage denoising based on genetic algorithm

INTRODUCTION Most underwater acoustic signals received by sonar are corrupted inevitably by unpredictable noise sources. In most cases, sonar system is adversely influenced by noise so disturbing that target signals cannot be detected and classified correctly so that pre-processing is necessary to reduce the noise as much as possible. Methods of noise reduction based on wavelet transform have been developed extensively in pre-vious literatures (Xu et al., 1994; Sun, 1998), and include wav…     

基于小波变换的跨膜蛋白跨膜螺旋区段预测

1 Introduction In existing genome databases ,about 20 %-30 %ofgenetic products have been esti mated as encodedmembrane proteins[1]. However , about 30 % of allproteins are membrane proteins inliving cells .The TMproteins play ani mportant role especiallyi…     

Multiple description scalable video coding based on 3D lifted wavelet transform

INTRODUCTION With the expansion of multimedia applications, video transmission is becoming an important issue in the research area of communication. It is very im- portant to compress a large amount of video data effectively, which has already attracted considerable attention recently. To make source coders both er- ror-resilient and network-adaptive are two main challenges facing the video compression techniques. It is necessary to make the bitstreams temporal, spa- tial and SNR scalabl…     

基于Fourier变换的分布参数系统静态检测传感器的部署

针对实际生活或者工程问题中的分布参数系统多个静态检测传感器的部署问题,给出了多元函数Fourier变换、三角网格感知距离、给定区域检测传感器最少数量的三条相关定理。提出了分布参数系统的状态变量的求解方法以及静态检测传感器的部署方案和部署数量的方法。该方法通过求出齐次分布参数系统的状态变量,给出模型参数的先验估计值取定第一个检测传感器部署位置,再根据传感器感知模型三角网格部署方法确定其他检测传感器的部署位置,最后计算出分布参数系统给定区域检测传感器的最少数量。     

Response enhancement of olfactory sensory neurons-based biosensors for odorant detection

This paper presents a novel strategy for the response enhancement of olfactory sensory neurons (OSNs)-based bio-sensors by monitoring the enhancive responses of OSNs to odorants. An OSNs-based biosensor was developed on the basis of the light addressable potentiometric sensor (LAPS), in which rat OSNs were cultured on the surface of LAPS chip and served as sensing elements. LY294002, the specific inhibitor ofphosphatidylinositol 3-kinase (PI3K), was used to enhance the responses of OSNs to odorants. The responses of OSNs to odorants with and without the treatment of LY294002 were recorded by LAPS. The results show that the enhancive effect of LY294002 was recorded efficiently by LAPS and the responses of this OSNs-LAPS hybrid biosensor were enhanced by LY294002 by about 1.5-fold. We conclude that this method can enhance the responses of OSNs-LAPS hybrid biosensors, which may provide a novel strategy for the bioelectrical signal monitor of OSNs in biosensors. It is also suggested that this strategy may be applicable to other kinds of OSNs-based biosensors for cellular activity detection, such as microelectrode array (MEA) and field effect transistor (FET).     

一种基于小波变换的多尺度图像配准算法

在研究传统Harris角点检测算法的基础上,结合小波变换的多分辨率特性,提出一种基于小波变换边缘检测与Harris角点检测的多尺度图像配准算法。该算法保持了Harris角点检测算法在图像旋转、缩放或灰度变化时角点提取效果依然良好的优点,改进了其对噪声敏感且不具有尺度不变性的缺点,在不同尺度上有较高稳定性与匹配精准度,抗噪性较强。     

Watermarking on 3D mesh based on spherical wavelet transform

INTRODUCTIONTherapidgrowthofdigitalmediaoverInternetprovideseverybodywiththefacilityofeasyaccess,copy,editanddistributionofdigitalcontentssuchaselectronicdocuments,images,soundsandvideos.Thereisurgentdemandfortechniquestoprotectthecopyrightoftheoriginaldigitaldataandtopreventunauthorizedduplicationortampering.Digitalwatermarkingordatahidingisonesolutionforthecopyrightprotectionofdigitaldata.Digitalwatermarkingisaprocessbywhichauser-specifiedsignal(watermark)ishiddenorembeddedintoanothersi…     

Watermarking on 3D mesh based on spherical wavelet transform

In this paper we propose a robust watermarking algorithm for 3D mesh. The algorithm is based on spherical wavelet transform. Our basic idea is to decompose the original mesh into a series of details at different scales by using spherical wavelet transform; the watermark is then embedded into the different levels of details. The embedding process includes: global sphere parameterization, spherical uniform sampling, spherical wavelet forward transform, embedding watermark, spherical wavelet inverse transform, and at last resampling the mesh watermarked to recover the topological connectivity of the original model. Experiments showed that our algorithm can improve the capacity of the watermark and the robustness of watermarking against attacks.     

基于小波方法的超分辨率图像重建

提出了一种基于小波变换理论的超分辨率重建算法,即利用小波变换得到图像的高频和低频子带,结合非线性外推技术对高频子带进行处理,在增加高频子带信息量的同时进行迭代改进,并采用小波阈值方法进行去噪处理.实验结果表明：该算法能够克服以往插值算法的不足,如高频损失、细节模糊等,能很好地提高图像的峰值信噪比,是图像重建的一种有效方法.     

Very low bit-rate video coding based on wavelet transform

ｖｅｌｅｔ ＴｒａｎｓｆｏｒｍTX１ＩｎｔｒｏｄｕｃｔｉｏｎＶｉｄｅｏｃｏｍｍｕｎｉｃａｔｉｏｎｉｓｂｅｃｏｍｉｎｇｉｎｃｒｅａｓｉｎｇｌｙｉｍ－ｐｏｒｔａｎｔｉｎａｐｐｌｉｃａｔｉｏｎｔｏｓｅｖｅｒａｌａｒｅａｓｓｕｃｈａｓｔｅｌｅ－ｃｏｎｆｅｒｅｎ...     

一种新的基于小波变换的基音检测算法

1IntroductionPitch periodis ani mportant parameterinthe analys-is and synthesis of speech signals.Pitch period infor-mation is used in various applications such as(1)speaker identification and verification,(2)pitch syn-chronous speech analysis and synthesis,(3)linguisticand phonetic knowledge acquisition and(4)voice dis-ease diagnostics.However the task of esti mating thepitchis very difficult since(1)the human vocal tract isvery flexible andits characteristics varyfrompersontoperson,(2)the pi…     

基于小波变换的地震信号去噪方法研究

提高信噪比是地震信号数字处理的主要任务．研究了几种常用的小波去噪方法在地震信号中去除随机噪声的应用,分析了各自的特点,并改进了算法．通过MATLAB的仿真结果表明,小波变换的去噪效果明显优于传统的Fourier变换方法．     

Multiple descriptions based wavelet image coding

INTRODUCTIONJPEG2 0 0 0 (LawsonandZhu ,2 0 0 2 )isanewlypublishedstillimage codinginternationalstandard .Itsintroductionmeantthatforthefirsttime,thediscretewavelettransform (DWT)wouldbeusedforthedecompositionandrecon structionofimagestogetherwithanefficientcod ingscheme.IntheJPEG2 0 0 0coder,beforeanywaveletdecompositionisperformed ,theimageispartitionedintonon overlappingtiles.Thesetilesareofequalsizeexceptpossiblyforthoseadjacenttotheimageboundary .Thenwavelettransformisappliedtotr…     

基于小波变换的低比特率图像编码研究

运用小波变换理论,结合人类视觉系统特性,提出一种基于SPIHT算法的低比特率图像压缩的改进算法.实验证明,该算法在平滑图像的压缩中有较好效果,在低比特率压缩下减少了Gibbs现象,边缘模糊现象得到改善.     

A new computing multivariate spectral analysis method based on wavelet transform

This paper proposes a new algorithm for multivariate calibration named Principal Component Regression Based on Wavelet (PCRW) which combines wavelet decomposition technique with the factor analysis method for establishing a duplicate denoising mechanism. A practical example in spectral analysis of a typical multicomponent pharmaceutical system was used to verify the effectiveness of the algorithm. It was shown that PCRW produced fewer prediction errors than those obtained by using PCR. Project (39870940) supported by NSFC.