Ammonia can be produced by the respiration and excretion of fish during the farming process, which can affect the life of fish. In this paper, to research the behavior of fish under different ammonia concentration and make the corresponding judgment and early warning for the abnormal behavior of fish, the different ammonia environments are simulated by adding the ammonium chloride into the water. Different from the existing methods of directly artificial observation or artificial marking, this paper proposed a recognition and analysis of behavior trajectory approach based on deep learning. Firstly, the three-dimensional spatial trajectories of fish are drawn by three-dimensional reconstruction. Then, the influence of different concentrations of ammonia on fish is analyzed according to the behavior trajectory of fish in different concentrations of ammonia. The results of comparative experiments show that the movement of fish and vitality decrease significantly, and the fish often stagnates in the water of containing ammonium chloride. The proposed approach can provide a new idea for the behavior analysis of animal.
Abstract. How to evaluate innovation ability objectively and scientifically of high level innovative technical personnel is of great significance for an area to draw up scientific and technical policy and originality innovation strategy. By literature review method, analytic hierarchy process and expert scoring method, throuh the basis on analyzing a variety of factors which impact on innovation ability of local high level technical personnel, after two rounds of expert consultation, three level evaluation index system has been established, which includes sixteen two-level indexes and thirty five three-level indexes. The corresponding weighting coefficients and the main observation point are provided by every index. For example postgraduates graduating in 2013 from an university in Hebei province, output and effect evaluation of index system are investigated from performance appraisal, which proved that this index system is scientific and feasible.
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