Exploring the Informal Communication of Driver-to-Driver on Roads: A Case Study of Durban City, South Africa.

Road traffic fatality is rated as one of the ten causes of death in the world and with various preventive measures on a global level, this prediction is only placed on flat terrain and didn’t reduce. Nevertheless, road users’ communication is an essential key to traffic safety. This communication, be it formal or informal between the road users is an important factor for smooth traffic flow and safety. Communication language on roads can be categorized into; formal device-based signal (formal signal), formal hand signal (formal signal), informal device-based signal (informal signal), and informal gesture-based signal (everyday signal). However, if the intent of the message conveys is not properly understood by the other road user, mistakes and errors may set in. Overall, the formal signal is based on explicit learning which occurs during the driving training and the license testing process and the informal, implicit learning occur during the actual driving process on the road unintentionally. Furthermore, since the informal signal is not a prerequisite to driving or taught in driving schools, novice drivers are clueless and thus, might have contributed to errors and mistakes which leads to traffic fatalities. Therefore, this study seeks to document the informal means of communication between drivers on South African roads. Consequently, a qualitative semi-structured interview questionnaire would be used in the collection of informal signals, which were predominantly used on South African roads from driving instructors and thereafter, a focus group of passengers’ car, commercial and truck drivers will be used to validate the availability and their understanding of these informal signals using a Likert-type scale for the confidence level. In conclusion, the information gathered from this study will help improve road safety and understanding of road users especially drivers on the necessity of communication and possible adaptation for other developing countries.

Exploring the Informal Communication of Driver-to-Driver on Roads: A Case Study of Durban City, South Africa

Road traffic fatality is rated as one of the ten causes of death in the world and with various preventive measures on a global level, this prediction is only placed on flat terrain and didn’t reduce. Nevertheless, road users’ communication is an essential key to traffic safety. This communication, be it formal or informal between the road users is an important factor for smooth traffic flow and safety. Communication language on roads can be categorized into; formal device-based signal (formal signal), formal hand signal (formal signal), informal device-based signal (informal signal), and informal gesture-based signal (everyday signal). However, if the intent of the message conveys is not properly understood by the other road user, mistakes and errors may set in. Overall, the formal signal is based on explicit learning which occurs during the driving training and the license testing process and the informal, implicit learning occur during the actual driving process on the road unintentionally. Furthermore, since the informal signal is not a prerequisite to driving or taught in driving schools, novice drivers are clueless and thus, might have contributed to errors and mistakes which leads to traffic fatalities. Therefore, this study seeks to document the informal means of communication between drivers on South African roads. Consequently, a qualitative semi-structured interview questionnaire would be used in the collection of informal signals, which were predominantly used on South African roads from driving instructors and thereafter, a focus group of passengers’ car, commercial and truck drivers will be used to validate the availability and their understanding of these informal signals using a Likert-type scale for the confidence level. In conclusion, the information gathered from this study will help improve road safety and understanding of road users especially drivers on the necessity of communication and possible adaptation for other developing countries.

A Cost-Aware DNN-Based FDI Technology for Solenoid Pumps

Fluid Pumps serve a critical function in hydraulic and thermodynamic systems, and this often exposes them to prolonged use, leading to fatigue, stress, contamination, filter clogging, etc. On one hand, vibration monitoring for hydraulic components has shown reliable efficiencies in fault detection and isolation (FDI) practices. On the other hand, signal processing techniques provide reliable FDI parameters for artificial intelligence (AI)-based data-driven diagnostics (and prognostics) and have recently attracted global interest across different disciplines and applications. Particularly for cost-aware systems, the choice of diagnostic parameters determines the reliability of an FDI/diagnostic model. By extracting (and selecting) discriminative spectral and transient features from solenoid pump vibration signals, accurate diagnostics across operating conditions can be achieved using AI-based FDI algorithms. This study employs a deep neural network (DNN) for fault diagnosis after a correlation-based selection of discriminative spectral and transient features. To solve the problem of hyperparameter selection for the proposed model, a grid search technique was employed for optimal search for parameters (number of layers, neurons, activation function, weight optimizer, etc.) on different network architectures.The results reveal the high accuracy of a three-layer DNN with ReLU activation function, with a test accuracy of 99.23% and a minimal false alarm rate on a case study.

INDICATIVE APPROACH IN THE EVALUATION OF THE IMPLEMENTATION OF THE CONSTITUTIONAL RIGHT TO JUDICIAL PROTECTION IN THE STATE LANGUAGES OF THE RF SUBJECTS

The implementation of the constitutional right to judicial protection is an important guarantee for participants in legal relations in case of violation of the rights of one of the parties or a threat of violation of the rights of participants in legal relations. Judicial protection is of particular relevance for the participants in legal relations, who do not speak the languages in which the administration of justice is carried out. Within the framework of this article, the authors analyze indicators that are designed to, on the one hand, signal on the current state and existing possibilities of implementing the constitutional right to judicial protection in the state languages of the subject of the Russian Federation (statistical function), and, on the other hand, determine growth drivers that can provide language guarantees for the territory of our state, which is defined as a democratic federal legal state according to Art. 1 of the Constitution of the Russian Federation. Within the framework of this article, three indicators are highlighted and analyzed: 1) existing legal potential for the implementation of the constitutional right to judicial protection in civil cases in the state languages of the republics within the Russian Federation; 2) analysis of the practical implementation of the opportunities currently available for the implementation of the constitutional right to judicial protection in civil cases in the state languages of the republics within the Russian Federation; 3) determination of growth points in the implementation of the constitutional right to judicial protection in civil cases in the state languages of the republics within the Russian Federation

Hand Gesture Controlling using Artificial Intelligence

Presently multi day's robot is constrained by remote or mobile phone or by direct wired association. In the event that we pondering expense and required equipment, this things builds the unpredictability, particularly for low dimension application. Presently the robot that we have structured is not quite the same as over one. It doesn't require any kind of remote or any correspondence module. it is a self-enacted robot, which drives itself as indicated by the position of a client who remains before it. It does what the client wants to do. it makes a duplicate, all things considered, development of the client remaining before it. Equipment required is little, and henceforth minimal effort and little in size. Of late, there has been a flood in enthusiasm for perceiving human Hand signal controlled robot. Hand motion acknowledgment has a few uses, for example, PC amusements, gaming machines, as mouse substitution and apparatus controlled robot (for example crane, medical procedure machines, apply autonomy, counterfeit intelligence

Hand Gesture Recognition System using Deep Learning

Hand motion acknowledgment is a characteristic method for human PC association and a zone of dynamic research in PC vision and AI. This is a zone with a wide range of conceivable applications, giving clients an easier and increasingly normal approach to speak with robots/frameworks interfaces, without the requirement for additional gadgets. Along these lines, the essential objective of signal acknowledgment explore connected to Human-Computer Interaction (HCI) is to make frameworks, which can distinguish explicit human motions and use them to pass on data or controlling gadgets. For that, vision-based hand signal interfaces require quick and incredibly strong hand discovery, and motion acknowledgment continuously. This paper introduces an answer, sufficiently nonexclusive, with the assistance of deep learning, permitting its application in a wide scope of human-PC interfaces, for ongoing motion acknowledgment. Investigations did demonstrated that the framework had the capacity to accomplish a precision of 99.4% as far as hand act acknowledgment and a normal exactness of 93.72% as far as unique signal acknowledgment.

Hand Gesture Interface for Smart Operation Theatre Lighting

Operation theatre lighting system is a critical component in the operation theatre. Focusing the light to the area of surgery and varying the light intensity is manually done in currently available systems. Disruption of surgeon’s attention and possibility of infection due to non sterilized hands is a major setback of the manual controlling method. This usually requires assistants to adjust the position and intensity of the light system by commands from the surgeon. So, designing an intelligent lighting system for operating theatre which can maintain the intensity values to the required level without shadow effect to the operation area is an important requirement. Proposed system makes use of accelerators in the gloves worn by surgeon so as to track hand movements. Pre defined hand movements can be configured to move the lighting system up, down, left or right. Accelerator input is interpreted for its corresponding movement by controller at transmitter side and it is wirelessly given to the receiver side using an nRF module. At the receiver side the incoming command from the nRF is taken and suitable response generated at the motor driver by the controller to move the lighting device. In the same way predefined hand signal can be used to vary the intensity of the light by using microcontroller to drive an LED driver.