In order to detect the existence of contaminants in inner surface of the transparent vessel, an optical low coherence interference measurement system based on the reflection of the inner surface of the vessel is established. Broadband low coherence laser diode light source and improved Michelson interferometer are adopted. The optical path of the measuring arm is aligned with the transparent vessel, and then optical path of the reference arm is adjusted. When the optical path from the wall of the inner surface in the vessel is equal to the optical path from the reference arm, there is interference. The dynamic interference signal can be captured and recorded. The signal is processed and extracted by using MATLAB software. According to the difference of the intensity of the interference signal, we can distinguish whether there is contaminant in the transparent vessel. This paper can provide a real-time and novel method for detecting contaminants in the transparent vessels in biomedical, food and other fields.

Drug dust in pharmaceutical workshops has become a new source of pollution, and it has great harm to the health of employees. Glimepiride, one of the diabetes drugs, is selected as the research object. The terahertz time-domain spectroscopy(THz-TDS) is used to measure the absorption coefficient of its pure product tablet. It can be seen that there are many obvious characteristic absorption peak for this drug in the frequency band from 0.1 THz to 2 THz. The glimepiride tablets is used to generate aerosols to simulate the workshop environment. In order to reduce the influence of water vapor, it is dried by microfiltration membrane and Nafion membrane drying tube respectively. The result shows that compared with the absorption spectrum of the pure tablet, most of fingerprint peaks of the analytes can be identified by both methods. This result provides a good experimental reference for the drug dust detection in the pharmaceutical workshop.

With the increasing demand for information carrying capacity in modern soliety, a halftone holographic watermarking method based on dual channel 3D effect host image is proposed. The method based on dual channel technology combines two 3D host images of holographic watermark halftone into one image. Then, calculating hologram is produced, and a pair of calculating hologram can display two watermark images during reproduction. The resulting calculating hologram can increase the security and confidentiality of information transmission. Double channel technique can increase the amount of information. The process can improve the visual effect meanwhile keeping coding efficiency. The halftone coded holographic watermark can better improve the robustness of the holographic watermark.

In order to solve the problem of poor structural stability between micro-nano optical fibers, we use CO2 laser as the heating source to heat two micro-nano optical fibers together, and observe the fusion under the microscope, in the end, we weld two micro-nano optical fibers into one, and the surface of the fiber at the fusion point is smooth, the diameter is uniform. Through the method of CO2 laser heating, the perfect fusion of micro-nano optical fibers is realized, which increases the mechanical stability between micro-nano optical fibers, make it easier to fabricate nano photonic devices.

In this paper, we proposed an abnormal event recognition model based on surveillance video. The model can monitor the foreground target in video in real time and determine whether there is an abnormal event by analyzing the motion information of the target. The model utilizes the background model-based hybrid Gaussian algorithm to extract the foreground target. The L-K feature point tracking algorithm based on the gold tower iteration is subsequently adopted to obtain the foreground optical flow motion information. The abnormal event is judged by the analysis of the foreground area ratio, speed variance, and the overall entropy. Two kinds of abnormal events, such as explosions, short-time crowding and dispersion are chosen for simulation, the results show that the model can accurately extract the foreground target area and correctly determine the occurrence of abnormal events. Furthermore, the method can quickly and accurately identify abnormal events in the surveillance video, and can help the management department to find and control abnormal events in time.

On the basis of analyzing the noise characteristics of passive layer particles, a square-wave signal with low SNR was simulated. Based on the variation law, a Mallat fast algorithm was used to analyze the wavelet signals with low SNR and analyzed the characteristics of the noise. An algorithm designed to suppress interference noise in the passive layer particle temperatures. The simulation on the designed algorithm shows that the algorithm can filter the noise in the signal. By constructing a roller experiment device,the particle temperature of the passive layer of the roller is measured, and the measurement data is analyzed. The change of internal particle temperature state is effectively measured, and the practicality of denoising the passive layer particle temperature signal using wavelet transform is proved.

In order to achieve the position limit function of the wave surface analyzer wireless adjustment unit, the system uses a position limit control system to limit position travel of the motor. The system also can obtain the voltage information of trigger and the limit state voltage information of precision DC motor through the CC2530 control panel. The experimental results show that the position limit system of the wireless adjustment unit of the wave surface analyzer can realize the position limit control of the adjustment unit which makes the adjustment of the wireless adjustment unit of the wave surface analyzer more accurate and effective and is beneficial to the accurate measurement of the sample surface.

A terahertz leaky wave modulator based on graphene is designed. By changing the Fermi level of graphene, the resonance response of the metasurface based on metal-insulator-graphene(MIG) structures will be changed significantly, which modulates the properties of the terahertz leaky wave. The simulation results show that with the change of Fermi energy from 10 meV to 60 meV and the thickness of dielectric from 20 μm to 200 μm, the 35 GHz frequency scanning range is finally achieved by optimizing the electro-controlled graphene MIG structure, and the electromagnetic response state is changed from the over-damping state to the under-damping state. Meanwhile, it is found that the phenomenon of electromagnetically induced transparency(EIT) can be induced in the under-damping state, but there is only resonant absorption in the over-damping state. Therefore, the MIG structure with this remarkable feature can be applied to highly sensitive biological detection. The device has the characteristics of simple structure and convenient control. It has a wide application prospect in the detection of biomolecules and material refractive index.

In this paper, the photonic crystal structure was designed using the doped silicon which has absorption effect on terahertz band. As a result, the light wave in the photonic band gap was absorbed. In addition, the reflective mirror of metal facilitated the combination of the absorption peak of photonic crystal and Fabry-Perot(F-P) resonant absorption peak. Thus, as this structure was not affected by temperature changes in 0.31-0.34 THz band, it could achieve broadband absorption. Moreover, the 0.29-0.31 THz band had the temperature sensing function. By using the commercial electromagnetic simulation software CST2014 to stimulate the optimization parameter, a photonic crystal-based temperature sensor with large incidence angle was designed. The reflectivity would change with the linear variation of temperature.

In order to use the camera for non-contact measurement with high accuracy, the monocular camera is usually used for optical calibration, imaging, calibration and measurement, on the basis of the linear model, but there is no analysis and research on the reliability of the commonly used linear model. Thus its reliability is studied and analyzed here. According to the characteristic of the monocular camera, and in order to build the camera model based on relationship of the image pixel coordinates and the three-dimensional world coordinates, the vision measurement experiment is completed by using our own custom template. Then, we get image pixel coordinates by the sub-pixel corner detection method. Neglecting the distortion, the feature extraction and linearity analysis are realized. Many repeated experiments are operated by constantly adjusting the measurement distance. The relative error of measurement by the linear model is less than 1%, and the measurement error is not more than 0.3 mm. Meanwhile, it is found that the model has measurement difference for different regions and object distances. The experiment results show this linear model is simple and practical, and has good linearity within a certain object distance range. These experiment results provide a powerful basis for establishment of the linear model. The work has the potential in practical engineering.

Due to the influence of the depth of focus, two-dimensional single frequency cylindrical surface imaging systems cannot accurately compensate all the scattering points of the body target. In order to solve the problem of the limited depth of focus, a focus enhancement algorithm based on image fusion is proposed. Using the fusion processing of the imaging results of different cylinders, the focused image is finally obtained. It can be seen from the comparison with the original image that the proposed method effectively solves the out-of-focus problem caused by the compensation of the phase mismatch due to the limited depth of focus.

In the dynamic tracking and sighting system, obtaining the target image with moderate size, clear and stable is the precondition of tracking and aiming the target. In order to realize smooth, flexible and fast effects in the dynamic tracking system, cam structure can be used. The MTF curve of the system reaches greater than 0.6 in the value of 50 lp by optimizing the cam curve by using MATLAB. Aberration is basically balanced and the imaging quality meets the practical application requirements. The structure with servo motor driving focus cam is compact and lightweight. The focusing precision of system can reach ±1.1 μm. Finally, the dynamic target tracking and aiming are realized.

Optical responsive deformation device has drawn wide attention in the field of bionics by its rapid response. In this paper, the prepared device that can achieves deforming and recovery property in the visible light band was successfully fabricated by using the electrospinning technology. By electrospinning the polyvinyl alcohol(PVA) fiber film contained with orderly arranged nematic liquid crystal 4-cyano-4'-pentylbiphenyl(5CB) upon the elastic thermoplastic polyurethane(TPU) substrate, the phase transition and the volume shrunk of the heated liquid crystal 5CB embedded in the electspun fiber film can be achieved. Finally, the substrate film can be blended by the shrinking of 5CB. Through adding the carbon nanotubes(CNTs) with well photo-thermal conversion efficiency in the visible light region to the devices by the way of electrospinning or coating, devices can be endowed with optical responsive deforming properties. Experimental results show that the prepared devices can be applied in the field of human bionics as the actuator by its prominent optical deforming and responding properties.

Quick and sensitive detection of foodborne pathogenic bacteria is a key to control food safety. Routine detection methods are so cumbersome and time-consuming that it is difficult to meet the needs of foodborne disease prevention and control. With the development of spectroscopic technologies, researchers have established many new techniques to detect bacteria. They are fast, simple, specific, sensitive, and with low-consumption. Latest spectroscopy research and development trends of foodborne pathogens have been summarized in this paper. It is proposed that single-cell level real-time and fast unmarked automatic identification of individual bacterial cells will be widely applied in the field of non-destructive testing of foodborne pathogenic bacteria.