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Impact of work from home on Communications in COVID-19 Pandemic

COVID-19 had adversely affected the global economy, causing mass disruption and unemployment. It had tremendously affected all the sectors, causing predicaments in daily chores. Several measures were laid out to re-establish regular routines, Work From Home was one of them. We conducted this study to check the impact of the COVID-19 on communication during Work From Home and the work environment during the corona pandemic. This article describes the working trends during Work From Home in the COVID-19 era of the Indian population. Difficulties developed during working from home and their potential solutions have been highlighted. This paper had discussed the virtual working regimes during Work From Home based on an online survey conducted; we have considered several socio-economic and geographical factors. We focused on working professionals working from home during the first phase of the coronavirus pandemic in India dated between April 2020 to August 2020, where 220 working professionals participated. This article also weighs the importance of electronic meeting platforms, categorized into personal & social network platforms, professional meeting platforms, and remote access and control platforms. The data analysis and interpretation showed that the Work From Home had proven to be more productive for the information technology sector than the manufacturing industry because of the nature of the work involved.

Published by: Yogesh Patil, Ashik Kumar Patel, Yash Gopal Mittal, Ashmak Moon, Sudhanshu Dubey, Milind Akarte, Balkrishna Narkhede, Manoj Kumar Tiwari, K. P. Karunakaran

Author: Yogesh Patil

Paper ID: V7I5-1197

Paper Status: published

Published: September 18, 2021

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Research Paper

Intelligent Accident Detection and Alert System

Road accidents rates are very high nowadays due to various factors. Timely medical aid can help in saving lives. Traffic congestion, lack of ambulance services, no network connectivity are the major elements that delay the provision of medical help. An automated response system is required to resolve these factors. For building such automated systems smartphones with their in-built sensors are excellent platforms. In this paper, we introduce the ADAS (Advanced driver-assistance systems) which will reduce the time gap and ensure medical assistance immediately. The server and the ADAS software are the two main components of this system. In this ADAS client system, the location can be identified with the support of in-built sensors in the Smartphone and it will alert the nearest medical assistance provider, which will enable the team to arrive at the accident site on time. The action time and the death tolls can be decreased with the help of this ADAS system.

Published by: Saravanan T., Swetha S., Sowmiya S., Sindhu N. R., Sneha T., Rithika S.

Author: Saravanan T.

Paper ID: V7I5-1228

Paper Status: published

Published: September 18, 2021

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Research Paper

IoT based home automation using FPGA

A comfortable lifestyle is improving with the advance in technology day by day. Internet helps us provide any required information which any individual wants. IoT abbreviation for Internet of things helps us not only to get a comfortable lifestyle but also helps us to establish smooth and errorless transfer in communication. In-Home automation any appliance can be connected through IoT and can be used by our smart phones through application. Home automation is the future of smart homes. Wireless Communication using Wi-Fi is always placed into consideration compared to wired communication, as it is not only reliable but also easy to use. Wireless Communication like Bluetooth, Zigbee has a very short range. IoT uses WiFi to transfer data and it also helps to transfer data over a long-range using Static IP addresses and the Internet. FPGA helps to establish smooth connection between FPGA and home appliances. FPGA board provides high security and flexibility to the circuit. Home appliances are controlled using an FPGA board and it receives commands in serial communication from IoT Module through the application in the smartphone. It can also give us alerts through our application and also through the web IP address which can be protected by a password. It can also help us in long-distance communication with home appliances. There are many more advantages that can help us lead a comfortable lifestyle with IoT and FPGA board.

Published by: Aadesh Pawar, Shubham Gurav, Vanshika Parkar, Swarnima Patole, Satendra Mane

Author: Aadesh Pawar

Paper ID: V7I5-1243

Paper Status: published

Published: September 18, 2021

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Research Paper

Vehicle area impact on fuel efficiency in platoon management

Due to the continuous increase in highway transport, the expectation on the automotive manufacturer is increasing for more fuel-efficient solutions. Vehicle platooning attracts considerable attention from the manufacturers and customer business model because of reduced fuel consumption which gives more profits during transportation. Vehicle Platooning is a technique where highway traffic is organized into a group of close-following vehicles called platoon or convoy. In-vehicle platoon management, the lead vehicle is led by one or more following vehicles in the longitudinal direction. This research work focuses on the impact of the vehicle area on fuel efficiency and also demonstrates the importance of vehicle area to achieve better fuel efficiency during platoon management. This paper has been divided into four sections, it starts with an introduction to the vehicle platoon and state of art. The second part of the work describes basic mathematical modeling to analyze vehicle area impact in platoon management. The third part describes the analysis of vehicle area impact in the platoon management and finally concluding the research work.

Published by: M. S. Sunitha Patel, Dr. Srinath S.

Author: M. S. Sunitha Patel

Paper ID: V7I5-1222

Paper Status: published

Published: September 16, 2021

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Research Paper

Visual relationship detection and Scene Graph Generation using the Bi-Directional Gated Recurrent Unit

Visual relationship detection is an intermediate image understanding task that detects two objects and classifies a predicate that explains the relationship between two objects in an image. Relations among entities play a central role in image understanding. Due to the complexity of modeling (subject, predicate, object) relation triplets, it is crucial to develop a model that cannot only recognize seen relations but also generalize to unseen cases. Inspired by a previously proposed visual translation embedding model, the context-augmented translation embedding model can capture both common and rare relations. The previous Visual translation embedding model maps entities and predicates into a low-dimensional embedding vector space and learns the embeddings guided by the constraint predicate, union(subject, object). In addition to the framework is combined with a language model that learns which relationships are more suitable between pairs of object classes. The model solves the scene graph inference problem using the standard Bi-GRU model and learns to iteratively improve its predictions. Our joint model can take advantage of contextual cues to make better predictions on objects and their relationships from an image. This work explicitly models the objects and their relationships using scene graphs, a visually grounded graphical structure of an image. Where in the graph, the nodes are represented as the objects, and the directed vertex is represented as relationships. The experiments show that our model significantly outperforms previous methods on generating scene graphs using the Visual Genome dataset.

Published by: Monesh S.

Author: Monesh S.

Paper ID: V7I5-1219

Paper Status: published

Published: September 16, 2021

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Review Paper

A holistic view on the National Wind Resource Assessment Program (NWP) of India

India is blessed with immense renewable energy resources in general and wind energy resources in particular. Evaluating the potential of wind energy resources in changing the energy scenario in the country is vital for the development of wind turbine installations in near future. About 38600 MW capacity wind power plants are installed so far as up to December 2020. In the wind energy conversion/utilization, India stands in the fourth position in the world and it is one of the countries with the largest ground measurement databases exclusively for wind power projects. This paper presents a complete overview of the National Wind Resource Assessment Programme (NWP) being implemented by the Government of India through the National Institute of Wind Energy (NIWE) and its role in facilitating the Indian Wind Industry in achieving its key position in the global wind energy scenario.

Published by: Hari Bhaskaran Anangapal, J. Bastin, R. Vinod Kumar, Rajesh Katyal

Author: Hari Bhaskaran Anangapal

Paper ID: V7I5-1223

Paper Status: published

Published: September 16, 2021

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