Coating on turbine blade plays a vital role to enhance the mechanical properties; in order to this, the current work represents vibration characteristics for the coated rotating blade. Considering the temperature dependent material properties and stress hardening effect, natural frequencies are obtained using a finite element numerical approach. The dynamic behavior is studied for the coated and uncoated blade. The vibration response of the rotating coated blade is studied and observed the softening in frequencies as rise in the temperature.

Intelligent vehicle has become a research hotspot in the field of vehicle engineering and a new driving force for the rapid growth of the automotive industry. It is also the trend of the development of Automotive Technology in the future, which puts forward higher requirements for obstacle detection technology. In order to solve the problem that adjacent obstacles are difficult to distinguish, distant obstacles are easy to split and the algorithm is time-consuming in the traditional DBSCAN algorithm for obstacle detection, an improved DBSCAN fusion region growth clustering algorithm is used for obstacle detection, and a real vehicle experiment is carried out. The results show that the accuracy and real-time performance of the improved method are improved.

Considering the influence of workshop distance and intersection distance on the optimal speed, the hierarchical optimization energy-saving control under the vehicle networking environment is proposed to solve the problem of real-time speed planning and energy management of hybrid vehicles, and achieve the purpose of energy saving. The upper control solves the initial target speed according to the traffic information, and then uses the Model Predictive Controller ( MPC ) + Fuzzy Control to obtain the target speed sequence and acceleration sequence. In the lower layer, the engine torque, motor torque and mechanical braking force are controlled by the improved minimum fuel consumption strategy based on rules to realize the adaptive distribution of torque. Based on Matlab/simulink simulation platform, the effectiveness and real-time performance of the control strategy are verified under six working conditions. The simulation results show that the control strategy realizes accurate tracking of the initial target speed in emergency and flexible tracking in non-emergency to reduce emergency acceleration and deceleration.  Compared with the MPC control strategy, the total equivalent fuel consumption is reduced by 1.82 %-7.28 %, which realizes the comprehensive improvement of system economy, comfort and working condition adaptability.

Natural fibers absorb sweat and water and hence such clothes are comfortable for summer. Natural fibers are safe for human skin and are bio-degradable. An eco-friendly natural antimicrobial finish from extracts of plants for application in fabric that will inhibit  the microbial growth and provide cooling effect when worn. The combination of fabrics such as bamboo, cotton, modal and organic cotton  blends were selected and the aloe vera herbal extraction with mordant mixture was coated on different blended fabrics.  After coating, aloe vera coated fabrics and their properties were studied and analyzed. The physical, mechanical, comfort  and  thermal properties were observed before and after treatment of aloe-vera and were compared for best results. The fabrics were tested for special finish tests like anti- bacterial and anti-fungal properties against Staphylococcus Aureus and Klebsiella Pneumoniae and Aspergillus Niger respectively. From the test results it can be concluded that the bamboo fabric exhibited excellent properties against microbial growth. Bamboo fabric possess natural UV protection and the aloe vera coating will inhibit the growth of microbes on absorption of sweat and will also produce cooling effect on to the body.

In order to solve the key problem of simultaneous detection and tracking of multiple obstacles by autonomous vehicles in urban road conditions, this paper uses the improved joint probability data association algorithm to correlate the data of obstacles, and uses the unscented Kalman filter to update the state of obstacles. The experimental results show that the real-time and effectiveness of the improved method in this paper are improved.

Designed the quantitative research method to assess the children's parents’, teachers', and caregivers’ perceptions of their 30-Local Child Development Centers in the six regions, each region was selected from the five CDCs provided. The CDCs’ perceptions were obtained using the 25-item My CDC Identity Inventory (MCDCII) on five scales on three options. Teacher and Caregiver-Early Childhood interactions were assessed with the 30-item Questionnaires on Teacher Identity Interaction (QTII) on five scales on five options. The 10-item Test of Identity-Related Attitude (TIRA) was used to administer with a sample size of 300 children's parents, teachers, and caregivers.  The R² value indicates that 30% of the variance in early childhoods’ attitudes on five scales to the global identities related-attitudes toward early childhoods at the Child Development Centers, relatively. 74% of teachers and caregivers’ perceptions of their CDCs are able to protect educational asylum of early childhoods from rural communities to the schooling cities with their identities, significantly. 49% of the variance in children's parents’ perceptions inventory was attributable to the MCDCII associated. And 61% of the variance in teachers' and caregivers’ perceptions of their identity-related attitude outcomes to their local CDCs environment inventory was attributable to the CDCs’ identities and attitudes, relatively.

Due to the high speed of the expressway, the consequences of traffic accidents are particularly serious, which has brought a lot of unnecessary property losses to the society. In order to predict the severity of traffic accidents more scientifically and reasonably, this paper constructs a decision tree model, classifies the output results at different levels, and then tests the correlation of the input variables. Finally, according to whether there are large vehicles, the number of vehicles involved and accidents The three input variables of shape are used to establish an accident severity prediction model, generate a corresponding rule set, and use 30% of the sample data to test the test samples and compare the model prediction accuracy. After the test of the test set, the following conclusions can be drawn: under the three input variables, the prediction accuracy of the three-class classification is higher than that of the two-class classification, and the accuracy rate is more than 90%.

The path tracking control of intelligent vehicles is the key to realize the autonomous driving of vehicles. Therefore, this paper proposes a lateral control algorithm, including feedback closed-loop controller and feedforward open-loop controller. Feedforward control is used to eliminate the steady-state tracking error when the vehicle is driving on the curve road. At the same time, in order to meet the demand of control performance, it is based on linear quadratic optimal control (linear quadratic regulator, LQR) designs a full state feedback system to obtain a feedback controller. Firstly, the vehicle dynamics model is established, and then the differential equation of lateral tracking error is established in Frenet coordinate system; On this basis, the controller is established through the combination of feedforward control and LQR, and then through the joint simulation of MATLAB/Simulink and CarSim software, compared with LQR and PID control, the results show that LQR +Feedforward control has good tracking accuracy and driving stability.

This paper mainly aims at the problem that an obstacle avoidance trajectory needs to be partially replanned and controlled when an intelligent vehicle encounters an obstacle during trajectory tracking. Firstly, a local trajectory planning controller is designed based on the vehicle point mass model and model predictive control (MPC) theory.  According to the control objective of the trajectory planning controller, the objective function with constraint conditions and obstacle avoidance function was established. The optimal discrete points of local obstacle avoidance path were obtained by optimizing the objective function, and then the feasible obstacle avoidance trajectory was planned by polynomial fitting the discrete points five times.  Then based on two degrees of freedom vehicle dynamics model linear time-varying model predictive control algorithm is adopted to establish the prediction models of control layer to obtain the optimal control by solving quadratic programming, and trajectory tracking controller was designed, finally using Simulink/Carsim for joint simulation, the results show that the algorithm is to reasonably planning the local obstacle avoidance path, and a relatively stable trajectory tracking.

According to the annual statistical report, the number of road traffic accidents, fatalities and injuries have decreased. However, the number of fatalities and injuries per accident is increasing. The results of traffic accident causation statistics show that emotions are one of the main causes of traffic accidents. Therefore, it is important to analyze the influence of drivers' emotions on driving behavior and to provide early warning of their dangerous driving behaviors to improve road safety. Therefore, this paper analyzes the effect of anxiety on dangerous driving behavior based on simulated driving experiments, and the final results of the study show that drivers in anxiety have greater pedaling force on the gas pedal and greater steering wheel steering angle. It tends to be more dangerous driving behavior.

The road traffic system is composed of people, vehicles, roads and environment, but the impact of each component on the stability of the traffic system is different. Through the investigation of vehicle structure, accident scene and the interview and investigation of survivors, a large number of road accidents are analyzed, and it is found that most of the causes of traffic accidents are related to drivers. Therefore, in order to fundamentally reduce the occurrence of accidents, it is necessary to conduct an in-depth analysis of the driver's psychology and driving behavior, and add the driver's emotional state and intensity to the monitoring of vehicle driving parameters, so as to effectively improve the safety and reliability of vehicles. This paper carries out research on the relationship between emotion and behavior according to the behavior characteristics in the driving environment, discusses the relationship between driver anger and driver action characteristics through research questions and simulated driving tests, and grasps the mechanism of driving behavior on emotion, so as to provide some theoretical support for the subsequent research on related safety issues.

Thermoelectric technology may provide an alternative to traditional methods of power generation, heating and cooling. Thermoelectric can convert heat energy to electrical power directly. Compared with other methods, Thermo electric module (TEM) possesses the salient features of being compact, light- weighted, noiseless in operation, highly reliable, maintenance free, and involving no moving or complex parts. It is free of carbon dioxide emission and radioactive substances and does not contribute to the depletion of natural resource and pollution of the environment. A small amount of electrical power can be generated by a thermoelectric module if a temperature difference is maintained between two terminals, or can operate as a heat pump, providing heating or cooling of an object connected to one side of the module. This paper defines simulated model of TEM to estimate electrical behaviour with respect to changes in hot source and ambient temperature. Paper is focused on characterizing TEM and calculating efficiency and output power of TEM. Mathematical model for basic TEM is developed in MATLAB/Simulink environment and tested for various materials. Temperature of hot source and ambient temperature are input variables to the model and current, voltage, power and efficiency are output variables.

As a kind of active safety technology of automobile, longitudinal brake collision avoidance can actively control the vehicle through emergency braking to avoid collision, so as to protect the safety of the driver and the vehicle when the driver does not make effective vehicle control action in time due to slow response or panic. In this paper, an Advanced Emergency Braking System (AEBS) is designed based on fuzzy control. The speed difference between two vehicles and the difference between the actual distance and the safe distance is taken as the input of the fuzzy controller, and the output is the desired deceleration. The desired deceleration is then transformed into throttle or brake pressure signals through the inverse dynamic force model, which is input to the vehicle for control. Finally, the simulation is carried out on Carsim/Simulink co-simulation platform. The simulation results show that the vehicle has completed longitudinal braking collision avoidance under the action of AEBS under the three conditions of stationary, uniform speed and braking, which ensures the driving safety.

Since 1886, when the first real car was built, the industrial system has been quite mature, but the environmental and energy problems brought by cars have also become more and more serious. Automobile lightweight can not only reduce fuel consumption, but also prolong the service life of the automobile, which is of great significance to the development of the automobile industry and the protection of environmental resources. With reference to the progress of automobile lightweight technology in recent years, this paper mainly studies lightweight materials and advanced processing technology of automobile manufacturing, so as to reduce fuel consumption and cost ¹. Reduce the participation of human resources, reduce fuel consumption and environmental pollution, in the automobile industry has a broad application prospect.