The traditional extended Kalman algorithm for multi-target tracking in the field of intelligent transportation does not consider the occlusion problem of the multi-target tracking process, and has the disadvantage of low multi-target tracking accuracy. A multi-target tracking algorithm using wireless sensors in an intelligent transportation system is proposed. Based on the dynamic clustering structure, the measurement results of each sensor are the superimposed results of sound signals and environmental noise from multiple targets. During the tracking process, each target corresponds to a particle filter. When the target spacing is relatively close to each other, each master node realizes distributed multi-target tracking through information exchange. At the same time, it is also necessary to consider the overlap between adjacent frames. Since the moving target speed is too fast, the target occlusion has the least influence on the tracking accuracy, and can accurately track multiple targets. The experimental results show that the proposed algorithm has a target tracking error of 0.5 m to 1 m, and the tracking result has high precision.
An abrupt increase in urban road traffic flow caused by incidental congestion is considered. The residual traffic capacity varies in different lanes after an accident, and the influence of accident duration on traffic flow is taken into account. The swallowtail catastrophe model was built based on catastrophe theory. The critical state of traffic congestion under incidental congestion was analyzed using this model, and a traffic flow control scheme is proposed with the goal of maximizing the traffic capacity. Finally, the operational state of traffic flow under different scenarios is analyzed through case study and the feasibility of the model is validated.
Purpose
This study aims to evaluate the effect of Piper betle leaf extract towards the acute-lethal toxicity, LC50 of red Nile tilapia juveniles (Oreochromis niloticus).
Design/methodology/approach
Ten red Nile tilapia juveniles per tank (in triplicate) were used as an experimental fish for the LC50 bioassay. Five different concentrations of P. betle extract; 80 ppm, 90 ppm, 100 ppm, 110 ppm and 120 ppm, were tested on the red Nile tilapia juveniles and one tank was acting as a control. The progress of the LC50 and lethal time of fish mortality were observed and recorded within the random interval of 96 h. The value for LC50 was determined as 100 ppm of P. betle leaf extract. Higher number of fish mortalities was observed when concentration higher than 100 ppm was tested on to the red Nile tilapia juveniles.
Findings
Data obtained shows that the P. betle concentration of 120 ppm accelerated the fish mortality period.
Originality/value
However, adaption of P. betle extract occurred after 50 h, as there was no fish mortality observed within the time.
The widely adopted the high strength steel tube is an important way to solve the lightweight body and collision safety. The traditional high pressure tube hydroforming and hot gas forming through “expansion” deformation to form hollow parts, and the internal pressure is the deformation driving force. There are some industrial difficulties such as heavy dependence on high pressure, wall thickness thinning and low production efficiency, which limits the production and application of high-strength steel tubes. Based on the principle of compression deformation, this paper develops the hot hydro-forging process to form the high-strength steel tubes. After the tube blank is heated to austenitization, the tube is compressed and deformed by the die closing force of the die through a new die structure. The internal pressure only plays a supporting role, which fundamentally avoids the thickness thinning and cracking under the expansion deformation mode, and has the advantages of rapid forming time and uniform quenching. Finally, the A-pillar tube with 1500 MPa is formed through the reasonable hot hydro-forging process.
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