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In this paper, a novel image watermarking method is proposed which is based on discrete wave transformation (DWT), Hessenberg decomposition (HD), and singular value decomposition (SVD). First, in the embedding process, the host image is decomposed into a number of sub-bands through multi-level DWT, and the resulting coefficients of which are then used as the input for HD. The watermark is operated on the SVD at the same time. The watermark is finally embedded into the host image by the scaling factor. Fruit fly optimization algorithm, one of the natural-inspired optimization algorithms is devoted to find the scaling factor through the proposed objective evaluation function. The proposed method is compared to other research works under various spoof attacks, such as the filter, noise, JPEG compression, JPEG2000 compression, and sharpening attacks. The experimental results show that the proposed image watermarking method has a good trade-off between robustness and invisibility even for the watermarks with multiple sizes.

Research showed that the tripartite synapse has the capability of self-repairing in the spiking neural networks (SNNs), where the interactions between astrocyte, neuron and synapse underpin this mechanism. It has been used for the hardware electronic systems to enhance the fault-tolerant abilities, especially for the critical task applications. Due to the complex models of the tripartite synapse, its efficient hardware architecture and scalability are the research challenges. In this paper, an efficient hardware tripartite synapse architecture is proposed which is based on the Stochastic Computing (SC) technique. The SC is used to replace the conventional computing components such as DSPs in the hardware devices, and the extended stochastic logics are used to scale the data range during the calculation process. Results show that the proposed hardware architecture has the same output behaviours as the software simulations and has a low hardware resource consumption (with a reduction rate of >85% compared to state-of-the-art approach) which can maintain the system scalability for large SNNs.

In this paper, a novel image watermarking method on the basis of discrete wavelet transform (DWT) and coupled tent-sine map (CTSM) is proposed. Firstly, CTSM is introduced and then three chaotic sequences are generated by CTSM. The first two sequences are used to encrypt the cover image and the watermark in order to improve the security, and the third one is used to find the embedding and extracting positions in the watermarking method. After that, in the watermarking embedding process, the encrypted watermark is embedded into the found positions, and then the watermarked cover image is gained. Finally, the extracted watermark is obtained by the watermarking extraction process. The security performance test results and the comparison results show that the proposed image watermarking method has good performance in the aspects of invisibility and robustness.

In this paper, study on computational complexity is implemented in a bidirectional 60GHz radio over fiber (RoF) system with 5Gb/s 16QAM-OFDM downstream signals generated by selected mapping (SLM) technique. 5Gb/s 16QAM-OFDM signals are transmitted over one 42km SMF-28 and one 0.4m wireless channel. The computational complexity comparison of different schemes with various number of branches is accomplished. The experimental results demonstrate that SLM can reduce high peak-to-average power ratio (PAPR) influence. Moreover, the high frequency microwave source is not required at the center station (CS), and the local oscillator (LO) is not also adopted at the base station (BS), that can simplify system configuration.

Cascading trips caused by flow transferring is the crucial causation of many well-known blackouts. This paper confirms the research object and proposes he prerequisite of flow transferring identification. According to the basic characteristics of the fault dynamic process, this paper proposes a flow transferring identification scheme based on local information. The scheme does not rely on communication and makes a fast conclusion. It also considers the factors including system oscillation, evolved faults, converted faults and so on, which affect the result of flow transferring identification. It is quite suitable for asymmetrical flow transferring identification. PSCAD/EMTDC simulation results show the effectiveness of the scheme.

fluorophenyl)-5-(2'-sulfonylphenylazo)-rhodanine (4FRASP) firstly synthesized by the authors was used as chemiluminescence (CL) reagent. In acidic medium, CL was observed when amoxicillin was injected into the mixture of 4FRASP-potassium permanganate. Based on this phenomenon, a flow injection CL method was established for the determination of amoxicillin. The CL intensity was correlated linear with the concentration of amoxicillin over the range of 5.0×10 -8 to 2.0×10 -5 g⋅mL -1 and the detection limit was 4.5×10 -9 g⋅mL -1 . The relative standard deviation (RSD) was 1.3 % for determination of 1.0×10 - 6 g⋅mL -1 amoxicillin (n=11). This method was applied to the The elementary analysis of 4FRASP showed a composition of: C (40.76%) H (2.53%) N (9.92%) O (14.52%) F (4.27%) S (7.56%), which is in good agreement with the theoretical composition of 4FRASP: C (41.47%) H (2.28%) N (9.59%) O (14.61%) F (4.34%) S (7.32%). C. Reagents

The resonance rayleigh scatterting (RRS) spectrum of 3-(4'-methylphenyl)-5-(4'-methyl-2'- sulfophenylazo) rhodanine and bovine serum albumin (BSA) in the BR (Britton-Robinson) buffer solution at pH 2.3 was studied with the presence of SDS microemulsion. It was found the RRS intensity of M4MRASP and that of BSA is weak respectively, but sharply enhanced when the two compounded. The RRS intensity was strong at the wavelengh range of 380~400 nm and the maximum scattering intensity was obtained at lambda ex =lambda em =394 nm. The concenrtration of BSA is linear with M4MRASP in the range of 0.01-2.0 mug/mL with a detection limit of 3.52times10 -9 g/mL. The method was applied to determination of BSA in real samples with satisfactory result.

A new principle of microwave measurement of surface roughness has been developed. The new method is based on scattering property of rough surface under microwave energy radiation. The relations between surface roughness and reflected microwave power are found for the first time. A single chip microcomputer is used for processing and displaying the results. This method features real time operation and non-contact inspection as well as ease of applications. Less than 5% measurement erros has been achieved.