In this paper, an improved PIV algorithm is proposed for the velocity field of oil-water two-phase dispersed flow in horizontal pipe. In the proposed PIV algorithm, interrogation windows are overlapped by 50% in all iterations other than just overlapped in the final iteration. And what’s still different is that the interrogation window can also be a rectangular window just as [64 64; 64 64; 32 32; 32 32; 32 16;]. What’s more, if any element of the final interrogation window is different from the penultimate iteration, there is going to be another interrogation with the last interrogation window size, which can reduce the false vectors. Experimental results show that velocity measurements of oil-water two-phase flow can be realized by this advanced PIV algorithm with high accuracy. At the same time, it provides the basis for further studying the application of PIV in velocity measurements of oil-water two-phase flow.
Compared with explicit knowledge, tacit knowledge is much more perfect and can be used to create valuable things. The ability of exploiting and utilizing tacit knowledge has become the significant factor to success for an individual or an organization. Private Scientific and Technological Enterprise (PSTE), as one of the main parts of National Economy in China, desire to transfer the internal tacit knowledge into the productivity in the reality. In this paper, the nature of tacit knowledge will be analyzed. Besides that, the factors that restrict the share of tacit knowledge in PSTE will be analyzed in detailed from individual, group and organization these three aspects, all are based on the infrastructure of tacit knowledge.
This note presented the optimization and calibration for a novel auto-cumulative flowmeter (ACF) to measure the oil flow rate in horizontal oil-water two-phase segregated flow. By using the finite element method, the electrode geometry of the probe in the ACF was designed, optimized, and simulated for oil accumulation measurement. Considering the practical application of ACF, a novel circuit for ACF with the optimized geometry of the probe was designed, simulated, and analyzed. The experiment for oil-water two-phase segregated flow with the novel circuit was carried out to calibrate the ACF. The calibration results can provide a theoretical basis and technical reference for the practical application of ACF.
Electromagnetic flow meters are widely used in two-phase or multi-phase flow measurements in recent years. In this paper, simulation model is established to study the flow meter response characteristics which exist a non-conductive body (oil bubble) in the fluid by use finite element software ANSYS. We analyze different electrode size impact on the response characteristics of electromagnetic flow meter in the measurement of two-phase or multi-phase flow which includes non-conductive material in the fluid, which provides reference for design of the sensor electrode sizes, and provides a theoretical basis for error analysis measuring two-phase or multi-phase flow under different electrode sizes of electromagnetic flowmeter.
A CRF model is proposed to extract the high level behaviors based on the position information of the elders in household environment. Firstly, the slide time window is used to segment the time-order position data which is then transformed into the position-based information including position region No., speed and direction. Then, we take the information as the observation data to construct the CRF model, learn the model parameters, and achieve to extract the high level behavior state sequences which can be applied to detect the abnormality of the elders. The experiment results show that the proposed method can identify the behavior states with a good rate of identification accuracy.
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