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In-vehicle handling one of the most important systems is the steering system. Typically, all vehicles have a steering system that allows the vehicle to be turned to either side, that is, left or right. In this paper, an idea of implemented considering a steering system for the rear wheel in addition to the front wheel, resulting in a four-wheel steering system. The turning radius required for four-wheel steering is less than that necessary for front-wheel steering after evaluating the effect of the four-wheel steering system. Some cars use four-wheel steering to improve steering response, increase vehicle stability while driving at high speeds, or reduce turning radius while maneuvering at low speeds. However, the improvement in turning radius is discussed using Ackermann steering geometry (ASG), from which the wheel critical turning angles are calculated for minimum turning radius. The steering system is implemented using a rack and pinion mechanism, and the design of the pinion and rack are obtained from ASG. In the study, the vehicle behavior for 4-wheel steering is done using a physical prototype and MATLAB Simulink model. Also, the steering of the front and rear wheel is performed using a servo motor which is controlled by the microcontroller. The vehicle's turning radius is reduced by 33% due to the four-wheel steering system. Improvements have also been made in high-speed handling while changing lane with the four-wheel steering system, in which excessive lateral displacement has been reduced by 77% and reduce the time required to change the lane. Also, the study of these forces for the four-wheel steering system is discussed for low-speed maneuvering. [ABSTRACT FROM AUTHOR]

There are many project management methodologies which can be selected while starting new projects. The purpose of this paper is to compare most popular methodology Agile and Waterfall. This paper will determine which is the most suitable for a website development project. Every project is different and requires to be handled differently. Hence, it is better not to grip on one particular methodology. conclude that there is no best methodology when it comes to select the methodology for a website project, a numerous factor needs to be accounted while choosing methodology to go with. Waterfall will be a better solution for small projects that have well-defined requirements that will not change, while Agile is preferred when continuous delivery and feedback are important. [ABSTRACT FROM AUTHOR]

Resource management is a prime factor among the various factors driving the industries. It is necessary to utilize the resources in best possible way. In service based industries human resources has the tremendous amount of importance, as they are the prime contributors in firm's growth. The stakeholders in these service industries are interested to track the utilization of human resources, for tracking the budget they have invested in the firm. The project managers are responsible for utilization reporting of FTEs. This paper represents the detailed analysis of resource management in the pharmaceutical industries, it has found that the current utilization process has been impacted due to the cumbersome method, inefficient tools and these factors were creating excessive utilization of human resources to administrate the process. To streamline the process with ease in the handling, increased accuracy and optimum resource utilization are the primary objective of this work. For streamlining the process this report has studied the various optimization techniques for resource utilization through the available literature resources, the DMAIC Methodology was implemented to optimize the current process, with the help of Root cause analysis and SIPOC analysis. This work has also derived the key performance indicators to trace the work done by the resources and implemented the Project management dashboard to track and visualize the utilization on granular level. With the improvement adapted, this work has achieved cost saving of 62% and 59% of time utilized per week. [ABSTRACT FROM AUTHOR]

Industries are looking for advanced maintenance techniques to reduce the cost of maintenance and increase the productivity of plants. Fault diagnostics is the focus area to reduce the downtime of the machine and ensure its durability. Bearing condition monitoring is important because bearings are the key component of rotary machines. Bearing failure detection relies heavily on vibration signal analysis. A defect in a rolling element causes the bearing to generate an impulsively responsive signal. This work contributes to the development of the framework to generate and acquire bearing vibration data. The data is collected for healthy bearing, bearings with cage damage, and ball damage. It generates a unique pattern of vibration signals for each bearing defect at constant, increasing, increasing and decreasing, and decreasing and increasing speeds. The data is post-processed using deep learning techniques capable of diagnosing and categorizing the different failure conditions. The paper proposes feature extraction and deep learning algorithms for diagnosing bearing faults. Feature extraction of signals is the traditional method of fault diagnosis, which involves expert knowledge and time. The 1D and 2D convolutional neural network (CNN) algorithms give an accuracy of 99%, which is far better than the feature extraction and artificial neural network (ANN) techniques, with an accuracy of 55%. Such techniques will help in the adaption of smart manufacturing in India. [ABSTRACT FROM AUTHOR]