No abstract

No abstract

Road accidents claim exceedingly high number of lives every year. The victim's life depends upon the mercy of others. The delay of emergency vehicle reaching the accident spot and the traffic in between accident spot and hospital has increased the chances of death of the victim. Tracing the accident spot is the major issue faced by emergency unit. To overcome the drawback we propose a system which is able to automatically detect road accidents using sensors, notify them to nearby emergency services and relatives through GSM. It is fully automated, finds the accident spot using Google map, and controls the traffic lights, helping to reach hospital in time. This system can be effectively implemented in high populated countries like India.

No abstract

Background: The global outbreak of COVID-19 incepted in Wuhan, China in the late 2019. It is still unclear about the origin of the infection. Over time, it has migrated geographically to 150 countries in the world and World Health Organization (WHO) has declared the infectious disease to be pandemic. Objective: Recently, COVID-19 has stepped into India by the travellers from other countries. The transmissibility and epidemicity of COVID-19 in India is exponential. So, in-order to understand the above characteristics, specifically COVID-19 status in India is analyzed. To analyze this into deeper, the state of Kerala is selected. The epidemiological characteristics of patients in Kerala, South India and the possible transmission of COVID-19 from asymptomatic members to other peers are shown using certain cases. Methods: The COVID-19 dataset is taken from Kaggle dataset. This dataset contains the details of the infected patients from different states of India. Statistical analysis techniques where used to analyze the distribution of the affected cases in a particular state. Results: The analysis shows that there is possibility of transmission of the infection even during incubation period. The recent trend in the number of infected cases in India is discussed. Conclusion: The transmissibility of COVID-19 and its epidemicity in India is discussed. In specific, a case study on COVID -19 cases in the state of Kerala relating the transmissibility is also summarized. Further, data related to patents on corona virus is also discussed. From the analysis, it can be concluded that there is a possibility of COVID-19 transmission even during incubation period. The preventive measures to overcome COVID-19 and methods to increase the immunity are discussed.

No abstract

No abstract

Eventhough, conventional technologies are quiet good in separating spam messages, still soo many measures have to be considered to make more accuracy in spam filtering. In this work, we worked towards detecting spam mails and filtering it during its transmission. We proposed Collaborative filtering approach hybrid with text classification (semantics based). The related feature are retrieved from the text content. Also, another filtering method known as Content-based filtering is proposed which filters the same spam mail with more precision and better accuracy. Along with the semantic texts the Content-based filtering filters the special symbols such as HTML tags, @,/etc. Results are compared and the accuracy of detecting spam e-mails of Content-based filters is more than that of Collaborative filters. Both Collaborative and Content-based filters perform keyword check available in the spam keyword database and detects whether the mail sent by the sender is genuine or spam. Genuine emails are sent successfully and the spam emails are blocked at the server side. Content-based email classification requires an understanding of both structural and semantic attributes of email. Conventional research is focussed on semantic properties through structural components of email. After analysing the emails as events (as a major subset of the class of email), a rich contextual test-bed representation for an understanding of the semantic attributes of emails has been devised. The event-based emails have traditionally been studied based on simple structural properties.