ABSTRACT
An online booking system works all the time. This gives freedom to potential visitors to book a room, ticket at anytime they want. It also maximises your sales because you are not limited to your working hours. An online booking system is a piece of a software used for reservation management. In fact, studies shows that a 24/7 online reservation system greatly increases the number of bookings. With the development in science and technology the usage of online ticket booking has been increased tremendously. Increase in online literacy encourages online ticket booking and customer buying behaviour. Highly demanded lifestyle, convenience, information wide, scarcity of time induces the customers to move from traditional ticket booking to online ticket booking. During Covid the need for online ticket booking increased among the general public since people were not ready to face the crowd and they were insisted about safety. That too during pandemic people were not ready to lose their safety and they were very much conscious about their hygiene. Hence the researchers made an attempt to study on customer attitude towards online ticket booking during COVID-19 with special reference to Coimbatore city. It was found that customer preferred online ticket booking for their convenience and they are satisfied with the online ticket booking in various factors.
ABSTRACT
In developing countries like India, the informal sector including street vending absorbs the majority of the urban unemployed growing labour force. It creates a wide employment opportunity;it is a means for income generation for the marginalized groups, and the urban poor especially for those who migrate from the rural area. However, despite its increasing importance in the total economy(especially for urban poor in the city), policies, regulations, services, infrastructure facilities and institutional support programme are not available for the street vending and the environment under which the vendor operate their business are not suitable for their health and wellbeing. In addition to this, there is no proper attention, which is given to street vending by policy makers, decision makers, and planners. Currently, there is even strong negative measures and view prevailing against street vending both by the local government and by the formal business operators. In addition, street vendors face many problems in the course of running their activities. It is therefore, the focus of this study is to assess the survival of street vendors During covid-19 in Coimbatore City. © Kalahari Journals.
ABSTRACT
Owing to the spread of covid-19 in and around all the areas, the people are advised to wear masks regularly, maintain social distancing and to sanitize the hands frequently. But most of the people are not properly following the wearing of masks in all the places including the crowdest areas. While the causes are complicated, there is a widespread belief that there is insufficient evidence to justify the use of face masks, particularly among the general people in a community environment. Detection of face mask is a difficult computer vision research subject due to the tiny size of the face cover region. The availability of appropriate datasets for this problem is rare so the way of finding solution is difficult. Considering all the drawbacks in the existing methodologies, The proposed method uses a innovative dataset that contains the images of masks and also the dataset includes 5,821 images of both the persons with masks and without masks that helps to classify in the different labels such as having mask and does not have mask. The box is bounded over the persons with and without masks. For detection, the system employs the YOLO v4 model, which has been shown to outperform prior versions of the YOLO and RESNET50 models.