Vehicle Detection by Image Processing Using MATLAB:A Colour Based Approach

Due to increasing traffic in the modern times it is imperative to design a system effective in maintaining a record of vehicles passing through a lane or a road. This will help to decrease human interference with the system and result in avoidance of faulty data. Our method would try to focus on detecting cars based on color , so that a proper information about transiting vehicles can be maintained.with the development of color based tracking mechanism tracking of car will become more easier and will lead to further control over the vehicular accident. it has observed that drivers tend to get lethargic and lose focus in such scenarios lead to occurrences of accidents in modern times. hence our mechanism will help to predict the course of vehicle movement and lead to further help so that driver mishaps can be kept in check for road traffic safety and pedestrian protection in the lanes

Improvement of the Adhoc Mobile Wireless Network with the Cisco Packet Tracer

The purpose of this research is not only to reduce the total cost but it also help us to increase the efficiency of the network. ADHOC is temporary network. Now a days ADHOC is most frequently used. In today scenario most of us having are smart devices which can make us easier to share a file or transfer a data through ADHOC because without ADHOC we can�t connect with each other without any physical medium like wire, cable etc. Which can make us more difficulties or time consuming. To enhance the performance of network we use cisco packet tracer software. The enhancement will be due to average cost, stability, power consumption. We can us NAT, Access list , DHCP protocols to design a network

Hand Gesture Recognition using Python

The goal for the project was to develop a new type of Human Computer Interaction system that subdues the problems that users have been facing with the current system. The project is implemented on a Linux system but could be implemented on a windows system by downloading some modules for python. The algorithm applied is resistant to change in background image as it is not based on background image subtraction and is not programmed for a specific hand type; the algorithm used can process different hand types, recognizes no of fingers, and can carry out tasks as per requirement. As it is stated within this paper, the main goals were reached. The application is capable of the gesture recognition in real-time. There are some limitations, which we still have to be overcome in future

Climate adaptation by crop migration.

Many studies have estimated the adverse effects of climate change on crop yields, however, this literature almost universally assumes a constant geographic distribution of crops in the future. Movement of growing areas to limit exposure to adverse climate conditions has been discussed as a theoretical adaptive response but has not previously been quantified or demonstrated at a global scale. Here, we assess how changes in rainfed crop area have already mediated growing season temperature trends for rainfed maize, wheat, rice, and soybean using spatially-explicit climate and crop area data from 1973 to 2012. Our results suggest that the most damaging impacts of warming on rainfed maize, wheat, and rice have been substantially moderated by the migration of these crops over time and the expansion of irrigation. However, continued migration may incur substantial environmental costs and will depend on socio-economic and political factors in addition to land suitability and climate

Roles of atmospheric and land surface data in dynamic regional downscaling

In studies dealing with the impact of land use changes on atmospheric processes, a key methodological step is the validation of simulated current conditions. However, regions lacking detailed atmospheric and land use data provide limited information with which to accurately generate control simulations. In this situation, the difference between baseline control simulations and different land use change simulations can be quite different owing to the quality of the atmospheric and land use data sets. Using multiple simulations at the Monteverde cloud forest region of Costa Rica as an example, we show that when a regional climate model is used to study the effect of land use change, it can produce distinctly different results at regional scales, depending on the amount of data available to run the climate simulations. We show that for the specific case of land use change impact studies, the simulation results are very sensitive to the prescribed atmospheric information (e.g., lateral boundary conditions) compared to the land use (surface boundary) information

A questionnaire survey for improving awareness of rheumatic heart disease among school-aged children in India

OBJECTIVES: We examined the level of awareness about Rheumatic Heart Disease (RHD) among school-aged children in a rural district of India and evaluated the effects of a questionnaire-based survey in improving the level of awareness. METHODS: The study involved 8,646 students aged 10-16 years from 20 schools in West Midnapore, India which was conducted in August 2017. We examined changes in the level of awareness of RHD using a 29-point scoring system in seven domains. The baseline questionnaire survey assessed students\u27 knowledge and was followed by a multimedia presentation about RHD and a post-intervention survey using the same questionnaire. The questionnaire included 9 questions on different aspects of RHD including prevalence, nature of disease, symptoms, determinants, treatment options, impact of the disease and diagnosis. RESULTS: The mean age of the study population was 13 years and 46% were boys. At baseline, the mean level of knowledge about RHD was 42% (12.2 out of 29 points). After the school-based presentation, the score improved to a mean of 55% (15.9 points on the 29-point scale), a 31% relative improvement. Improvement in students\u27 knowledge was noted across all seven domains, individually and combined (p \u3c 0.001). CONCLUSIONS: Awareness among children in rural India about RHD is modest. A school-based intervention could help in improving awareness about this chronic condition and may promote secondary prophylaxis to reduce the morbidity and mortality from RHD

Design, docking, synthesis and anticancer activity of some novel 2-(4-methylbenzenesulphonamido)pentanedioic acid amide derivatives

In the present work few novel 2-(4-methylbenzenesulphonamido)pentanedioic acid amide derivatives and the basic compound 2-(4-methylphenylsulfon-amido)pentanedioic acid have been designed, synthesized, characterized and screened for their possible antineoplastic activity both in vitro and in vivo. The modified drugs were docked against the protein histone deacetylase the energy value obtained was o-iodoanilide (-10.370504) and m-iodoanilide (-10.218276) of the titled compound. The in vitro activity was performed against five human cell lines like human breast cancer (MCF-7), leukemia (K-562), ova-rian cancer (OVACAR-3), human colon adenocarcinoma (HT-29) and Human kidney carcinoma (A-498). The in vivo activity was performed in female Swiss albino mice against Ehrlich Ascites Carcinoma (EAC). Among the synthesized compounds, o-iodoanilide, m-iodoanilide and p-iodoanilide derivatives of 2-(4-methyl benzene sulphonyl)-pentanedioic acid amides showed encouraging activity in both the in vitro and in vivo compared to other compounds