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Research Paper

Gesture recognition using RF signals

Gesture recognition is gaining increasing importance in Human-Computer Interaction (HCI). Gesture-based interaction serves as a convenient and natural means for users to interact with computers. However, accurate detection and recognition of human actions is still a big trial that attracts lots of research efforts due to the difficulties related to the human body parts and the difficulty in sensing their actions correctly such as human clothes and their negative consequence on the detection accuracy and the surrounding environmental conditions. Vision centered human activity analysis by means of computer vision as the original answer is still having its limits that are connected to the inability to detect whatsoever happening behind the walls or in the dim places and the uncomfortable feeling of people with cameras all over the place. This paper proposes a methodology that will use RF signals to overcome all the disadvantages of the mentioned methods.

Published by: Chandrakanth R., Bharath K., Bhargava U. G., Chinmaya G., Girija S.

Author: Chandrakanth R.

Paper ID: V5I3-1335

Paper Status: published

Published: May 11, 2019

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Others

IoT based patient monitoring, bed and blood booking using AVR

In the advanced human services condition, the utilization of IoT innovations brings accommodation of doctors and patients, since they are connected to different restorative regions, The body sensor network(BSN) innovation is one of the center advancements of IoT improvements in medicinal services framework, where a patient can be observed utilizing an accumulation of small controlled and lightweight remote sensor hubs. In this paper, at first, we feature the issues related to a lack of beds in Govt. Emergency clinics and blood booking and the executives of the equivalent. Consequently, we propose an IOT based idea to pre-book the bed for patient preceding achieve the medical clinic by means of Ambulance and request the blood with a solitary snap utilizing web App which can proficiently achieve those prerequisites.

Published by: Kesthara V., Ruksana S., Sangeetha C. M., Usha S. R., Rhaghavi A.

Author: Kesthara V.

Paper ID: V5I3-1331

Paper Status: published

Published: May 11, 2019

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Review Paper

Review paper on design and analysis of multi-storey building by the use of Stadd.Pro

Structural designing requires a detailed structural analysis on which the design of the structure is based. But it is not always possible to do in manual calculation hence the need for programming tools was found. For which several of power tools were formed, among which the most widely used one is Stadd.Pro, which allows the structural and seismic analysis prior to its construction. For high rise buildings its quite feasible to use Stadd.Pro for computing the loads and its combination and analyzing the structure and designing the structure based on the analysis.

Published by: Falak Vats

Author: Falak Vats

Paper ID: V5I3-1356

Paper Status: published

Published: May 11, 2019

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Research Paper

Inventory management Android application

The application has been developed keeping in mind the use of a centralized inventory managing system that could be accessed by all the authorized users, allow them to put forth requests and update the database accordingly. The usability of the application ranges from event managing to basic log keeping in small to medium-sized storages.

Published by: Gaurav Kulhare, Asheesh Nellutla, Sagar Ekbote, Utkarsh Naik

Author: Gaurav Kulhare

Paper ID: V5I3-1301

Paper Status: published

Published: May 11, 2019

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Review Paper

A review on stock prediction using machine learning

The goal of this review is to describe the various methods used to predict the stock market, gold price and fuel price. The following paper describes the work that was done on investigating the application of regression, SVM, ELM, ANFIS techniques on the stock market price prediction. The report describes the various technologies with their accuracy level and efficiency in the test phase. It was found that support vector regression was the most effective out of the models used, although there are opportunities to expand this research further using additional techniques to incorporate the current affairs into the prediction features.

Published by: Aiswarya S. Kumar, Greeshma Merin Varghese, Radhu Krishna R., Reshma K. Pillai

Author: Aiswarya S. Kumar

Paper ID: V5I3-1284

Paper Status: published

Published: May 10, 2019

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Research Paper

A study on analyzing social status of handloom weavers in Tiruvannamalai District

Textile plays a predominant role for human being with respect to their basic need i.e. clothing. First, agriculture next to it textile comes. In the Textile sector, there are so many domains, like handloom industry, power loom industry, job work; garment industry wherein each different kind of operations will be carried by adopting different techniques. In all domains employees will be called in different names such as weavers, tailor, merchandiser, etc. who offer varieties of textile products to the customers. But always one question remains the same in our mind. It is all about the life lead by weavers and their status. Many weavers are leading their life below the poverty line who offers designed trendy textile products they do not have a nice cloth to wear. The present focuses on the social status of handloom weavers and their faced problems where the weavers are working under owner. The researcher aims to find a solution by prescribing model for the applied problem for the betterment of weavers’ segment.

Published by: Dr. Sasikala M. S.

Author: Dr. Sasikala M. S.

Paper ID: V5I3-1192

Paper Status: published

Published: May 10, 2019

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