Integration of Cloud Computing and Artificial Intelligence in Driverless Car Using High Performance Behavioural Cloning

Research on autonomous vehicle system has risen in the past couple of years. It has posed challenges to the researchers to develop an understanding about the real time scenarios. Deep Learning has demonstrated its extraordinary computational potential by transcending its abilities into more complex areas, where pattern matching, image recognition and behavioral cloning plays a vital role. The system consists of Image Processing and analyzing of the training data into behavioral cloning of the vehicle in a simulated environment. A control algorithm responsible for consolidating the sub systems calculations of the correct steering angle is used to keep the vehicle within the lane markings of the road. The solution proposed requires a better data collection and data interpretation. Addition of cloud computing fastens the data calculation and hence improves the performance of the system

Analysis of changes in energy use pattern of wheat crop in two decades – A study of central India

For sustainable agriculture a fair balance between different categories of input energy with optimum output need to be established. The main objective of this paper was to investigate the energetics of wheat production for long term (20 years) in central India through a large scale survey which focused on (i) Farmers categories wise energy use pattern (ii) operation wise energy use pattern (iii) source wise energy use pattern. The finding of this research showed that as the farm size increased the input energy per unit was also increased. The input energy was found minimum for marginal farmer’s categories and the maximum energy input for large farmers. The minimum and maximum input energy among all the survey period was found in range of 4780 to 7199 MJ ha-1 and 8300 to 11638 MJ ha-1 for marginal and large farmers. In last survey large farmers were using 17.8% to 38.3 % more input energy than marginal farmers. Operation-wise irrigation shows highest input energy followed by seed bed preparation, sowing, transportation and other operations. The use of non-commercial energy sources were reducing over time and transformed to commercial energy sources. Use of renewable source of energy was decreased and use of non-renewable source of energy increased. Similar trend was observed for direct energy and indirect energy sources. Direct energy was decreased and use of indirect source of energy increased. The increase in the productivity of wheat shows that as the use of energy increased the yield was also increased. The yield of wheat was increased in range of 16.88-33.57%, specific energy requirement reduced in range of 25-42.24 % and the energy use efficiency increase in range of 25.21-42.15%. Better management of inputs, mechanization, quality seed, plant protection, controlled irrigation resulted into a great positive effect which resulted in higher energy use efficiency

Long term study of declining animal usage in Indian agriculture

Traditionally in Indian agriculture draught animals enables farmers to increase agricultural production and improve the quality of life but in recent decades there has been a trend towards replacing draught animals with farm tractors. There is rapid shift from animal to tractor power but the information about actual declining over the period is very little known. This paper presented results of four phase survey conducted for draught animal and animal powered implement usage in four different locations of central India. The result shows a reduction in range of 76.1 % to 90.2 %, in draught animal population and 58 % to 91 % in animal powered implements. This reduction in animal and animal powered implement shows a huge transformation in Indian agriculture from traditional to machinery powered farming but on the other hand it shows changing perception of youth in agriculture

Body contouring surgery in a massive weight loss patient: An overview

The number of patients with history of extreme overweight and massive weight loss (MWL) has risen significantly. Majority of patients are left with loose, ptotic skin envelopes, and oddly shaped protuberances, subsequent to weight loss. Redundant skin and fat can be seen anywhere on the body following MWL. This group of population presents many unique problems and challenges. Body contouring surgery after MWL is a new and exciting field in plastic surgery that is still evolving. Conventional approaches do not adequately cater to the needs of these patients. Complete history, detailed physical examination, clinical photographs and lab investigations help to plan the most appropriate procedure for the individual patient. Proper counseling and comprehensive informed consent for each procedure are mandatory. The meticulous and precise markings based on the procedure selected are the cornerstones to achieve the successful outcome. Lower body contouring should be performed first followed six months later by breast, lateral chest and arm procedures. Thighplasty is usually undertaken at the end. Body contouring operations are staged at few months' intervals and often result in long scars. Staging is important as each procedure can have positive impact on adjacent areas of the body. Secondary procedures are often required. However, proper planning should lead to fewer complications and improved aesthetic outcome and patient satisfaction

Spectrophotometric Determination of Cilostazol in Tablet Dosage Form

Purpose: To develop simple, rapid and selective spectrophotometric methods for the determination of cilostazol in tablet dosage form. Methods: Cilostazol was dissolved in 50 % methanol and its absorbance was scanned by ultraviolet (UV) spectrophotometry. Both linear regression equation and standard absorptivity were calculated and both methods were validated as per ICH guidelines. Cilostazol was determined in tablet dosage form using these validated methods. Results: The λmax of cilostazol was 258.2 nm in 50 % methanol. Beer-Lambert’s law was obeyed in the concentration range of 0 – 25 μg/ml and standard absorptivity was 420.2 dL.g-1.cm-1 . The numerical values for all the validation parameters were within acceptable limits. The results of cilostazol tablet determination by linear regression equation and standard absorptivity methods indicate purity of 100.0 - 102.4 and 98.7 - 101.1 % with standard deviations of 0.611 and 0.592, respectively. Comparing the methods at 99 % confidence limit, the F-test value was found to be 1.065. Conclusion: These validated methods may be useful for routine analysis of cilostazol as bulk drugs, in dosage forms as well as in dissolution studies in the pharmaceutical industry

Generation of database for development of a control system for precision seed applicator

The site specific application of seed to maintain crop growth is an essential part of precision agriculture and is required to minimize the cost of production. In this study database of selected seed was generated for development of precision seed drill to enable variable-rate application with a significant reduced error compared to current seed applicators. The laboratory setup was design and fabricated and was equipped with fluted helical roller and a variable speed DC motor with controller. The experiment conducted for three different exposures, two crops, six varieties, and three different seed sizes. The effect of different hopper filling, exposure length of fluted roller on seed delivery rate was measured and the speed ratio between ground wheel to feed shaft for different seed rate of wheat and soybean were recommended. Based on data a decision support system was developed to help the user to select the crop, variety, row to row spacing, and to select desired seed rate