A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Singh, Jaskaran
- Problems Related to the Financing of Small Firms in India
Authors
Source
International Journal of Innovative Research and Development, Vol 3, No 1 (2014), Pagination:Abstract
Micro-Small and Medium Enterprises (MSMEs) contribution is highly remarkable in the overall industrial economy of the country. In recent years, the MSME sector has consistently registered higher growth rate compared to the overall industrial sector. In the Indian market, MSME’s rapid growth could be seen as Indian entrepreneurs are making remarkable progress in various Industries like Manufacturing, Precision Engineering Design, Food Processing, Pharmaceutical, Textile & Garments, Retail, Agro and Service sector. MSMEs complement large industries as ancillary units and contribute enormously to the socioeconomic development of the country. However, MSME’s contribution is phenomenal in the growth of Indian economy, simultaneously; they are facing intense pressure and constraints to sustain their competitiveness in a globalized world. Some other issues such as the recession, low demand, finance, heavy competition from MNCs etc. are becoming exposed problem to MSMEs in India. The availability of external finance for them is a topic of significant research interest to academics and an important issue to policy makers around the globe. Therefore, in present work an attempt has been made to identify the problems related finance of MSMEs.
Keywords
Finance, MSMEs, problems- Human Activity Recognition System
Authors
1 Department of Information Technology, Guru Nanak Dev Engineering College, Ludhiana, IN
Source
Oriental Journal of Computer Science and Technology, Vol 13, No 2,3 (2020), Pagination: 91-96Abstract
Modern human activity recognition systems are mainly trained and used upon video stream and images data that understand the features and actions variations in the data having similar or related movements. Human Activity Recognition plays a significant role in human-to-human and human-computer interaction. Manually driven system are highly time consuming and costlier. In this project, we aim at designing a cost-effective and faster Human Activity Recognition System which can process both video and image in order to recognize the activity being performed in it, thereby aiding the end user in various applications like surveillance, aiding purpose etc. This system will not only be cost effective but also as a utility-based system that can be incorporated in a large number of applications that will save time and aid in various activities that require recognition process, and save a lot of time with good accuracy Also, it will aid the blind people in availing the knowledge of their surroundings.Keywords
Deep Learning; Neural Network.References
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