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A simple and efficient micropropagation system was developed for Cotoneaster wilsonii through node and shoot tip explants obtained from mature field-grown plants. Of the two explants, node explants were found to be the most effective for axillary shoot proliferation. The highest frequency of shoot induction was achieved when nodal explants were incubated on Murashige and Skoog (MS) medium supplemented with 0.5 mg L -1 thidiazuron (TDZ) and 0.1 mg L -1 a-naphthaleneacetic acid (NAA) with an average of 34 shoots per explant. The microshoots were separated from the multiple shoots and subcultured on MS medium supplemented with 3% (w/v) sucrose and 0.8% (w/v) agar for further shoot growth. Maximum rooting was obtained on half-strength MS medium supplemented with 0.5 mg L -1 indole-3-butyric acid (IBA). The in vitro-grown plantlets were successfully acclimatized in a glasshouse with 98% of survival. High concentrations of TDZ (1.5-2.0 mg L -1 ) and repeated subcultures resulted hyperhydric shoots. Supplementation of the culture medium with silicon significantly reduced the induction of hyperhydric shoots. Increasing silicon concentration significantly decreased malondialdehyde content of the regenerated shoots. Data indicate that addition of silicon to the culture medium can effectively control hyperhydricity.

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Existing intelligent transport systems (ITS) do not fully consider and resolve accuracy, instantaneity, and compatibility challenges while resolving traffic congestion in Internet of Vehicles (IoV) environments. This paper proposes a traffic congestion monitoring system, which includes data collection, segmented structure establishment, traffic-flow modelling, local segment traffic congestion prediction, and origin-destination traffic congestion service for drivers. Macroscopic model-based traffic-flow factors were formalized on the basis of the analysis results. Fuzzy rules-based local segment traffic congestion prediction was performed to determine the traffic congestion state. To enhance prediction efficiency, this paper presents a verification process for minimizing false predictions which is based on the Rankine-Hugoniot condition and an origin-destination traffic congestion service is also provided. To verify the feasibility of the proposed system, a prototype was implemented. The experimental results demonstrate that the proposed scheme can effectively monitor traffic congestion in terms of accuracy and system response time.