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Smart city article details

Title Analysis Of Woman Safety Parameters In Smart And Non-Smart Cities
ID_Doc 9415
Authors Kohli P.; Singh K.
Year 2021
Published 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021
DOI http://dx.doi.org/10.1109/ICRITO51393.2021.9596437
Abstract Today's world is the era of Information and Communication Technology (ICT). Due to this the demands of people and industry is growing day by day. So quality of service in cities and urban area is greatly affected. Both Government and private organizations took initiatives to migrate traditional cities into Smart cities. Development of Smart cities is focused by parameters: Technology, Safety, Privacy, Education, Unemployment, Crime, Health, Social, Legal, Economic, Traffic and Sustainability. Smart cities are considered safer cities against non-smart cities. These cities utilizes 'enterprise' LTE (eLTE) technology, a private adaptation of the 4G/5G (LTE) networks, IoT technology, secure wireless broadband connectivity etc for their advancement. These Smart cities are providing best resources to the people but Women Safety, Crime and Violence is still a big challenge. Weather a city is smart or non-smart, the crime against women is never ended. However, in reality cases like rape, harassment, teasing, sexual assault, molestation, domestic violence etc. increases very rapidly. Many preventive laws and measures have been taken to stop these worst activities. Still the measures have not affected the growing rate of such crimes. India has entered into digital world, but still women are scared to employ safety measures that can help them in troubled situation. Many cities are now developed into Smart cities but safety of women safety is still a increasing concern. In this context, Government has developed various devices and applications but still there is a need to develop an efficient system using latest technology like Machine Learning, Data Science etc. The paper analysis various feature and dimensions of Women Safety and Smart city. © 2021 IEEE.
Author Keywords Data Science; Machine Learning; Non-Smart City; Smart City; Violence; Women Empowerment; Women Safety; Women Safety Devices


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