In vehicle model research, the two-degree-of-freedom 1/4 vehicle model mainly focuses on suspension conceptual design and control theory research. In this paper, a two-degree-of-freedom (DOF) 1/4 vehicle model is taken as the research object to establish a two-degree-of-freedom (DOF) automobile air suspension dynamic linear control model. The model is derived by means of the average method. According to the stability determination theorem, the control parameter boundary conditions of the model under the conditions of solution and no solution are obtained. The controller is simulated in SIMULINK toolbox and the control effect of the linear controller is studied respectively when the main resonance occurs in the car body and the main resonance occurs in the wheel. Study of this paper has an important role in promoting the study of optimal control theory.

Keywords: nonlinear suspension; averaging method; main resonance; stability

To investigate the economic analysis of human resource for Decision-Making (DM) at higher education administrators in Northeastern Rajabhat Universities (NRU group), economic analyses of human resource for the DM and creative thinking skills (CTS) toward their administrations in the 11-NRU group with the quantitative data analysis to a sample size of 241 administrators were administered. Modified the 30-item Economic Analysis of Human Resource (EAHR) Questionnaire in five scales; Decision-Making Process Goal (DMPG), Decision-Making Authority (DMA), Organizational Decision-Making Information (ODMI), Effective Decision-Making (EFDM), and Evaluating Decision-Making (EVDM) scales;  and the 24-item Decision Making Creative Thinking Skill (DMCT) Questionnaire in four scales; Fluency, Originality, Flexibility and Elaboration skill scales on five options were associated. Most importantly, the EAHR and DMCT are reliable and valid instruments for assessing administrators’ perceptions also were found. Associations between administrators’ perceptions between their EAHR and DMCT were predicted. The Simple and Multiple Correlations of the variables are positive and significant. The Determination of Efficient Predictive (R²) values indicate that of 52%, 47%, 40%, and 19% of the variance in higher education administrators in the NRU group to their fluency, originality, flexibility, and elaboration thinking skills to their economic analysis was attributable toward their perceptions on their human resources, respectively. These results have been found that the percentages of the points should fall within the regression correlation that would be indicated all none of the data. This means that a lower coefficient on an indicator of non-better worseness for the elaboration of creative thinking skills, significant, correctively.

Keywords: Associations on economic analysis, human resources, decision-making, higher education administrators, creative thinking skills, and Northeastern Rajabhat University Group

All the composition of Er doped BiFeO₃ compounds (Bi_1-xEr_xFeO₃) where x=0.0, 0.1, 0.2, 0.3 (BF0, BEF1,BEF2, BEF3) was successively prepared by high temperature solid state reaction technique.XRD diffraction patterns indicated that this ceramics were of perovskite structure accompanied with tiny residual of Bi₂O₃  phase .It was found that doping of Er enhancing the properties of BiFeO_3. In measuring frequency 1 KHz-1MHz the dielectric constant and dielectric losses of samples exhibited slightly variation at higher frequency. Dielectric constant Vs Temperature at 100 KHz suggested that ceramics are high T ceramics. The sample had a relatively saturated ferroelectric hysteresis loop. Ferroelectric measurements showed that Er doping improve the polarization.

The HPCO, HOCO and HPPO molecules, the vitamin K antagonists, are antiretroviros. Their theoretical study via the DFT is focused on the determination of pKa, BDE and IP in gas phase in solvents (ethanol and water) and as a function of the temperature the properties mentioned above. After obtaining stable conformations, the appropriate pKa, BDE and IP of the conformations are determined by the thermodynamic cycle formula and the oxidation-reduction properties. These results show that the HPCO, HOCO and HPPO are less and less acidic than coumarin and pyrone. And that, their therapeutic activities decrease slightly according to the temperature. At least the transfer of the electron is a little favored more than the transfer of proton or hydrogen. Moreover the influence of ethanol and water is notorious on the oxidation properties.

This paper proposes a quantitative representation of driving tendency based on paired sample t-test and entropy, which is used to analyze the influence of anger, happiness, sadness and other driving emotions on dynamic driving tendency. By quantifying driving propensity, the dynamic changes of driving propensity under the influence of different emotions can be visualized. Randomly select the experimental personnel to carry out the simulation driving experiment. During the experiment, collect driving data of various driving states and human factors data of physiological indicators of drivers. A total of 84 effective experimental samples and 336 effective experimental data are obtained. The t-test of paired samples was used to analyze the differences of each index under different emotions. The characteristic parameters were selected to construct data matrix. The entropy value of each index was calculated by entropy and the driving tendency was quantitatively expressed according to the index weight. The driving tendency values of typical emotions and normal emotions were compared and analyzed, and the driving tendency transfer matrix was established to explore the driving tendency transfer law. The results show that the characteristics of driving propensity are different under different emotions. The three typical driving emotions have an impact on the dynamic change of driving propensity, and the most significant difference is the quantitative change of driving propensity under the influence of anger.

Let G=(V,E)  be a connected graph of maximum valency (degree)  and minimum valency δ . A mappingπ π: V (G)→ N U {0} is called a maximum valency radio labelling if it satisfies the condition d (u w)+| π (u)– δ (w) | ≤ 1 + Δ (G) for all u w ∈ V (G) . The span of a maximum valency radio labelling π  is the largest number in the range of π and its denoted by r_Δ (π) . The maximum valency radio number of G, denoted by r_Δ (G), is the minimum span taken over all maximum valency radio labellings π of G. The minimum valency radio number of G, denoted r_δ (G), is defined in the similar way by replacing δ instead of Δ . In this paper we have introduced the maximum and minimum valency radio number. Also, we have studied their properties and investigated such labelling numbers for few graphs namely, wheel graph, complete bipartite graph, fan graph, windmill graph  K_n^m and complete binary trees.">

Adaptive cruise control (ACC) is an important part of intelligent vehicles, but the coordinated control of cruise control and energy saving during the car-following process need to be addressed. In this paper, a novel adaptive cruise control is proposed considering both fuel economy and tracking safety with dynamic programming integrated model predictive control theory. A vehicle dynamic model and a fuel consumption model are formulated. The fuel consumption at all vehicle speeds is derived. The optimal economic speed is dynamic programmed using roadway uphill and downhill information ahead. Then, the upper-level model predictive control (MPC) controller is designed with the planed economic vehicle speed as the reference vehicle speed and the following distance as the judgment criterion for the following performance. Finally, simulations are conducted for different driving scenarios such as no driving vehicle ahead and car following. These simulations show that the proposed method has a high potential to increase the driving safety and reduce the vehicular energy consumption up to 13.7%.

Currently, in Egypt, there are several mega coastal projects, which faces delay in time and an increase in cost due to wave storms. A methodology was proposed to evaluate and optimize the effect of wave storms on the breakwater construction phase. Starts with a two-dimensional spectral wave model (Mike 21 SW) that has been done to analyze the waves in deep water and to examine wave storm effect on the breakwater for design. Then, Time and cost schedules have been performed with an appropriated construction method for submerged breakwater which is structurally designed by the Van der Meer equation. Finally, the Monte-Carlo simulation model has been built to measure the effect of wave storms on the project construction time and its relative cost. This analysis is carried with the aid of the Primavera Risk Analysis tool. The results show that the project start date affects the cost with an increase of up to 12% from the estimated cost and the time with an increase of 16% from the original duration.

"Road anger" is defined as one of the most harmful consequences when drivers become angry and retaliate against other drivers who have aggressive driving behaviors. This kind of "road anger" is a common phenomenon in various countries and regions, and its expressions may range from verbal aggression to physical violence. In order to study the mediating effect of driving behavior on anger and its consequences, the related literature is summarized by collecting relevant literature at home and abroad on the mechanism of driving behavior affecting anger. The results show that the change of anger caused by behavior is one of the important factors causing road traffic accidents, which seriously affects road traffic safety, and the intermediary factors between driving behavior and anger, such as age, gender and environmental pressure, cannot be ignored. It is concluded that the study of the mediating effect between driving behavior and anger generation has a good reference value for future road traffic safety and prevention of dangerous driving and anger generation. It is helpful to carry out public publicity activities for the population and publicize traffic safety information.

Anxiety is a common emotion of driver, an essential factor affecting driving behavior and traffic safety. Lane-changing behavior is one of the main driving behaviors, connecting the microscopic traffic behavior and macroscope traffic phenomenon. It is an integral part of traffic flow theory, which always affects driving safety. In our research, the emotion-induction and driving experiment was carried out to collect driving pattern data under anxiety and relief emotion. The expected speed, time headway, and merging headway were analyzed; the game process of target vehicle lane-changing under anxiety emotion was explored. The results showed that the driver’s lane-changing intention under anxiety emotion is stronger than under relief emotion. The driver’s lane-changing game benefit under anxiety emotion was obtained. This research can promote the research on the mechanism of lane-changing behavior, and provide a theoretical basis for the research on the interaction of anxiety emotion, driving intention and behavior.

The footstep power generation technique produce electrical energy through piezoelectric sensors. Electric energy generated by using mechanical energy of beings, vehicles etc. on the floor. The generated power does not pollute surrounding and also observed to be independent on climate conditions. This paper demonstrates a novel technique for harvesting of energy using piezoelectric sensors. The implemented piezoelectric sensors of panel convert mechanical energy into electric energy, stored in battery. The result obtained from the system is discussed.

The Kinematics and Compliance (K&C) characteristics of the suspension system have an important impact on the performance of the entire vehicle. This paper focuses on the longitudinal arm independent suspension of the trailer-mounted recreational vehicle (TMRV) and based on the initial value of the wheel camber angle, employed ADAMS/CAR software to simulate for K&C. Meanwhile, the effectiveness of the simulation model is verified by experiments. Finally, the sensitivity analysis and optimization of wheel toe angle parameters are carried out by using ADAMS / INSIGHT. The results show that the simulation model and analysis results are effective. In additiona, the change of toe angle of optimized before is unreasonable which maximum value is 1.015  and leads to serious tire wear. The maximum toe angle of optimized after is 0.732  . The study can provide guidance for the design of longitudinal arm independent suspension.

Five definite integrals have been solved using trapezoidal rule at different values of upper limit. Difference of calculated values by trapezoidal rule and the exact values have been calculated to find out the error in the calculated values. These errors indicate that the trapezoidal rule gives accurate values up to three places after the decimal point.