Diesel is extensively used as a fuel in prime movers, boilers and other power generation plants. The higher calorific value of diesel gives a measure of the effective chemical energy stored in a unit amount of fuel. The higher calorific value is required for the efficiency calculation of a machine and hence it directly affects the estimation of the gross turnover of a power plant. Traditionally the higher calorific value of diesel is determined by means of a bomb calorimeter; however, this procedure is time consuming and requires expensive, specialized equipment and oxygen gas. In this paper the authors have developed a unified correlation relating the higher calorific value of diesel with its density and kinematic viscosity both. Kinematic viscosity and density can be measured easily and quickly using standard laboratory instruments. Thus, developing the correlation has quickened the process of the estimation of the higher calorific value of diesel, and correlating two physical properties density and kinematic viscosity has made the estimation more accurate with a correlation coefficient of 0.985444 and a coefficient of determination of 0.9711 with a standard error of 1.012414 J/kg only.

Mental health reflects a person's emotional, psychological, and social well-being. A report by World Health Organization suggests that India is the most depressed country in the world. Hence, the idea is to develop an end-to-end solution for identifying and treating mentalhealth issues. This paper aims to develop an application to keep track of user's behaviour, both online and offline, to understand and identify the possible mental health issues using various analytical and psychological methodologies. The target users of this application would be the individuals just above the age of 18 which fall under the category of working class. Postidentification, the user is recommended a suitable change in his routine and behavior which would lead to a better lifestyle.Mental illnesses detection is a challenging undertaking because a misdiagnosis can lead to catastrophic consequences.Hence, our android application will take the necessary steps to accurately identify and treat the mental health issue.

This paper focuses on the harnessing of energy from fluid induced vibrations of bluff bodies due to the phenomenon of vortex shedding. Vortex shedding causes oscillating drag and lift forces due to which the bluff body in question experiences transient forces causing it to vibrate. An experiment has been conducted to investigate the potential of such vibrations and its probable usefulness. Maximum achievable efficiency of the system has been calculated and techniques to convert this mechanical energy into electrical energy have been discussed. In this experiment the bluff body used is a simple circular cylinder. The model developed works on the phenomenon of vortex shedding and resonance. The innovation of the setup is that the natural frequency of the structure can be easily altered by changing the relative distance between two of the mounting springs or by simply using springs of a different stiffness, as a result it can be ensured that the natural frequency of oscillation of the structure is always nearly matched to the frequency of vortex shedding for a wide range of wind velocities thereby ensuring a near resonance condition always.