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Real-time three-dimensional reconstruction is increasingly important in many fields. There are mainly two ways to improve real-time performance: increasing hardware rate and reducing captured frames count. For increasing hardware rate, the binary defocusing technique can effectively break the limitation of speed. For reducing captured frames count, the fusion technique is typically introduced. However, the simultaneous work of binary defocusing technique and fusion technique is hard to achieve. To this end, we establish a novel system framework with a camera and dual projectors. The dual projectors can control defocusing level independently, i.e. enhance the flexibility of projector. Based on this, our paper exhibits two decoding phase methods: the strict-alignment method and the loose-alignment method. The strict-alignment method requires the projection chips to be strictly aligned, and a virtual example demonstrated effectiveness with three captured frames. In order to further improve practicality, the loose-alignment method, which relaxes the restriction, is proposed. Finally, experiments verify the performance of our proposed method.

Squeezed state light is a fundamental resource for many quantum optics experiments. Important applications like quantum-enhanced magnetometer and quantum key distribution, require the squeezing level as high as possible. In balanced homodyne detection, the detector output is directly proportional to the noise of the squeezed beam. The detected quadrature is dependent on the relative phase between the squeezed beam and local oscillator. Here, we present a balanced homodyne detector (BHD) with independent phase control and noise detection branches. The independence between the phase control and noise detection branches is experimentally verified, the two branches are independently optimized according to the practical requirements. With the BHD, a bright squeezed light at 1550 nm with quantum noise reduction of 10.3 dB is directly detected. After stabilizing the relative phase between the squeezed states and local oscillator by the phase locking branch of the BHD, the fluctuation of the noise suppression is ±0.2 dB by 1-h testing time.

Previous studies established traffic demand equilibrium with an assumption that all the traffic information on road is easily accessed by the in-need traffic participants, which is not true in the real applications (due to data collections difficulty). The newly emerging smart portable devices (e.g., smart phones) generate massive on-site traffic data (speed, density, etc.), which stimulates us re-consider designing the traffic demand equilibrium. For the purpose of analyzing mobile internet service influence on traffic demand, we build up a Probit-based model with consideration of multiple traffic constraints (i.e., traveler type, actual travelling time, perceiving travelling time). The Monte Carlo method is introduced to simulating initial route selection probability distributions, and the Method of Successive Averages (MSA) is developed to help the Monte Carlo algorithm converge at optimal solution. We have implemented our model on typical traffic travelling scenario with very complex traffic network demands. The experimental results suggested that larger mobility service coverage can significantly reduce the overall traffic time in the free flow state, and the mobility service coverage rate ranging from 0.6 to 0.8 is supposed to provide minimum travelling time for the overall traffic network, while larger coverage rate at congested state may reduce the traffic network efficiency.

Research and regulation of tree growth at molecular level is a new trend in the development of forest biotechnology. However, as the limitations of wood as a research material, it is difficult to operate and compare the growth cycle in the laboratory, which greatly hinders study of the molecular biology of forest trees. Arabidopsis thaliana is the most important model plant in botanical research and is an excellent material for plant molecular biology research. Recent studies have shown that herbaceous Arabidopsis can not only provide genetic resources for tree molecular breeding but also can be used as an auxiliary means of wood molecular biology research and even can be directly used as an experimental model for the study of the molecular mechanism of tree development. This paper mainly discusses the establishment process of the tree molecular gene system platform under the background of the Internet of Things and studies the molecular genome of Arabidopsis, combining the characteristics of the tree itself and using the diversity of the frequency of different bases in the gene fragment to cluster the tree molecular genome, which is a molecular biology research and provides an important way of thinking.