Conceptual Implementation of Artificial Intelligent based E-Mobility Controller in smart city Environment

Abstract

Testing and implementation of integrated and intelligent transport systems (IITS) of an electrical vehicle need many high-performance and high-precision subsystems. The existing systems confine themselves with limited features and have driving range anxiety, charging and discharging time issues, and inter- and intravehicle communication problems. The above issues are the critical barriers to the penetration of EVs with a smart grid. This paper proposes the concepts which consist of connected vehicles that exploit vehicular ad hoc network (VANET) communication, embedded system integrated with sensors which acquire the static and dynamic parameter of the electrical vehicle, and cloud integration and dig data analytics tools. Vehicle control information is generated based on machine learning-based control systems. This paper also focuses on improving the overall performance (discharge time and cycle life) of a lithium ion battery, increasing the range of the electric vehicle, enhancing the safety of the battery that acquires the static and dynamic parameter and driving pattern of the electrical vehicle, establishing vehicular ad hoc network (VANET) communication, and handling and analyzing the acquired data with the help of various artificial big data analytics techniques.

Scanning Imaging Study of Patients with Parkinson’s Disease Lower Urinary Tract Dysfunction Based on Linear Equation

“…The study also showed that the degree of dyskinesia and the use of levodopa in Parkinson's patients with urinary dysfunction increased significantly after 24 months. Consistent with the above conclusions, the study also confirmed the link between early urination disorders and lower levels of motor function [ 18 ]. The study also showed that early urination disorders are related to the following nondyskinesias through linear regression equation analysis, including gastrointestinal dysfunction (OR 2.52, 95% CI 1.57~3.92, P < 0.001), cardiovascular dysfunction (OR 2.31, 95% CI 1.23~4.11, P = 0.014), respiratory dysfunction (OR 1.72, 95% CI 1.32~3.24, P = 0.029), autonomic skin disorders (OR 1.91, 95% CI 1.15~3.08, P = 0.023), and sleep disturbance (OR 2.01, 95% CI 1.32~3.14, P = 0.001).…”

Observation on the Effect of MRI Image Scanning on Knee Pain in Football Injury

“…Among the hidden intraosseous lesions, the tibia is the most common site and is often associated with articular ligament injury, especially the anterior cruciate ligament. MRI can clearly show the effusion of the knee joint cavity and can distinguish the composition of the fluid according to the different signals [ 25 ]. In this article, there are 3 cases of lipemia in the joint cavity, which is caused by the simultaneous entry of adipose tissue and blood from the bone marrow cavity or the torn periosteum into the joint cavity after trauma, and the fat floats on the synovial fluid, and the blood submerged under the synovial fluid; MRI showed three layers of joint effusion with different signals.…”

Prediction of Renal Function Damage in Patients with Essential Hypertension Based on Stepwise Regression Equation Scanning by AASI

“…According to the results of this experimental study, AASI can be used as a predictor of renal damage in patients with essential hypertension; at present, a large amount of data has proved that AASI can predict the damage of target organs; for example, it can predict cardiovascular and cerebrovascular diseases, especially the predictive value of stroke is greater. The ambulatory arteriosclerosis index (AASI) is calculated from ambulatory blood pressure monitoring, and ABPM is since the 1960s, one of the important results of studying hypertension; it is required that in daily life, according to the set time interval, it can automatically measure blood pressure, and the series of blood pressure values obtained include daytime activity and night sleep; it objectively reflects the dynamic changes of human blood pressure [ 15 ]. Hypertensive target organ damage (TOD) is a possible result in the development of hypertension; therefore, actively predict the target organ damage caused by hypertension, and intervene in a timely manner; it is of great significance to delay the occurrence of target organ damage [ 16 ].…”