Sentiment analysis using Supervised Learning Methods
As the organisations are getting bigger and bigger the need to make well informed decisions are ever more important. To do that however you need data. But is data enough. How is one to interpret the data to their advantage? How is one meant to sift through all of the data to find the specific ones that are meant to be relevant to the task at hand. For that you need a all-in-one solution. One that can handle all of that for us. This project targets the online product reviews. For an organisation that aims to sell products through online platforms like Amazon, Flipkart and other require a way to analyse all the product reviews to get information on what is performing well and what isn’t. For that it is important that the sentiments are analysed where it predicts where the review is positive or negative and what aspects of the review are negative or positive. It needs to give a numerical and visual representation which is helpful when it required to present the data to someone. All of these issues are addressed with the help of this application. It is built in python using pre-existing well-known libraries. Which also means that it is verified by many.
Published by: Tushar Baratam
Author: Tushar Baratam
Paper ID: V7I3-1621
Paper Status: published
Published: June 2, 2021
Web Based Network Element Resource and Information Tool
Web based network element resource and information tool (NERIT) which is the new technical way to maintain and keep track the network elements (NE) information It also keeps on updating NE information like software version, allocation period, NE connection details and NE health status. Users can access all the NE information details in a single window interface. NERIT is helpful for network service providers which reduces the network operation costs. While traditionally different solutions were available in the market for manual maintenance of NE details, but it is a tedious process and time consuming. In our proposed system, user can view all the required NE information. Proposed methodology, created an graphical user interface (GUI) for the NERIT with the help of web technologies and tools and it allows user to interact directly with the application. To maintain and monitor the NE’s MySQL database management system is used. To connect the GUI and database management system Nodejs Express framework is used. The data will be stored in the remote server. The Admin or Superuser should be a register user. The admin or superuser can login into their account through the application itself and update the network elements information like NE IPs, credentials, their allocation period, availability, reachability, hardware details, software details, location etc. In NERIT application users have easy access for viewing and searching all the NE information. The application will check user authentications. Users are not permitted to manipulate any data only admin and superuser can manipulate the data. Other than this the advanced features are: Bulk addition of NE’s ,automating the allocation process and software version update .In case of any NE allocation is about to expire means it will send notification to the user for whom NE is allocated, so they can take required actions. The users can download the NE information file which includes all the NE details NERIT also has the feature for user feedback, which will enable to further enhance the functionality of the platform and add many more features to it. Performance of the application can be improved and speed up by using HTTP/2 , optimizing the MySQL query and clustering the NodeJS.
Published by: Tejamallik K. S., Suma B.
Author: Tejamallik K. S.
Paper ID: V7I3-1645
Paper Status: published
Published: June 2, 2021
Design and development of Electromagnetic Braking System
These are totally friction less. Electromagnetic brakes are the brakes working on the electric power & magnetic.An Electromagnetic Braking system uses Magnetic force to engage the brake, but the power required for braking is transmitted manually. Electromagnetic braking system is a modern technology braking system used in light motor & heavy motor vehicles. This system is a combination of electro- mechanical concepts.It also reduces the maintenance of braking system. An advantage of this system is that it can be used on any vehicle with minor modifications to the transmission and electrical systems. An Electromagnetic Braking system uses Magnetic force to engage the brake, but the power required for braking is transmitted manually. The disc is connected to a shaft and the electromagnet is mounted on the frame .When electricity is applied to the coil a magnetic field is developed across the armature because of the current flowing across the coil and causes armature to get attracted towards the coil. As a result, it develops a torque and eventually the vehicle comes to rest. These brakes can be incorporated in heavy vehicles as an auxiliary brake. The electromagnetic brakes can be used in commercial vehicles by controlling the current supplied to produce the magnetic flux. Making some improvements in the brakes it can be used in automobiles in future.
Published by: Md Baha uddin, Mohammed Ehtesham Hadi, Mohammed Nabeel Ahmed, Mohd Azeem uddin
Author: Md Baha uddin
Paper ID: V7I3-1638
Paper Status: published
Published: June 2, 2021
Effect of Transcranial Direct Current Stimulation (tDCS) on Plantar Flexor Spasticity by using H reflex
A spastic ankle reduces walking velocity and mobility resulting in impaired gait and difficulty in ambulation. Increased plantar flexor spasticity has a devasting effect on the dorsiflexion range and also contributes to increased energy consumption during gait. H amplitude as the objective measurement is more accurate in assessing spasticity by using the H reflex. Objective: To determine the effect of various types of tDCS on plantar flexor spasticity by using H reflex and also to know which type of tDCS is more efficient in the reduction of plantar flexor spasticity Methods: A total of 30 participants were included in the study with plantar flexor spasticity. patients were randomized into 4 groups using the chit method. All Patients were evaluated for spasticity grade by using the modified Ashworth scale (MAS). H reflex was assessed for all patients followed by application of Cathodal tDCS for group 1 (n=8), Anodal tDCS for group 2 (n=7), Bi-hemispheric tDCS for group 3 (n=7) and sham tDCS for group 4 (n=8) for about 20 minutes. Post tDCS intervention all patients were reassessed for plantar flexor spasticity by H reflex and MAS scale Results: All the groups have shown significant reduction of spasticity post cathodal tDCS. The mean improvement of cathodal tDCS was found to be -0.9275 anodal tDCS was found to be -0.5229, bi-hemispheric tDCS was found to be -0.3357 and sham tDCS was found to be -0.4988. Conclusion: cathodal tDCS application has shown a reduction of spasticity after tDCS application in plantar flexor spasticity patients. This study concludes that cathodal tDCS over the ipsilesional hemisphere is a treatment modality.
Published by: Dr. Shilpa Khandare, Dr. Sai Priyanka Nerusu, Dr. Tushar J. Palekar
Author: Dr. Shilpa Khandare
Paper ID: V7I3-1633
Paper Status: published
Published: June 2, 2021
An automated system to limit Covid-19 using facial mask, temperature and age detection
COVID-19 pandemic caused by novel corona virus is spreading until now all over the world. The impact of COVID-19 has been fallen on all sectors of development. The healthcare system is going through a crisis. Many precautionary measures have been taken to reduce the spread of corona virus where wearing a mask is one of them. In this paper, we propose a system that restrict the spreading of COVID-19 by finding people who are not wearing facial mask in a smart city network where all the public places are monitored with cameras and also detecting the age and temperature of the persons who are entering in public places like malls, restaurants, etc.. While a person without mask is detected, the corresponding authority is informed through the proposed system. This paper presents a simplified approach to achieve this purpose using some basic Machine Learning packages like TensorFlow, Keras, OpenCV and MobileNet. It is hoped that our study would be a useful tool to reduce the spreading of this disease for many countries in the world.
Published by: Gajanan Kalambate, Shubham Dhamale, Rohit Jadhav, Lav Patil
Author: Gajanan Kalambate
Paper ID: V7I3-1618
Paper Status: published
Published: June 2, 2021
Self Help Health Care Chatbot
Chabot can be described as software that can chat with people using artificial intelligence. These software are used to perform tasks such as quickly responding to users, informing them, helping to purchase products and providing better service to customers. In this paper, we present the general working principle and the basic concepts of artificial intelligence based Chabot’s and related concepts as well as their applications in various sectors such as telecommunication, banking, health, customer call centers and e-commerce. Additionally, the results of an example Chabot for donation service developed for telecommunication service provider are presented using the proposed architecture.
Published by: Shraddha Shailesh Gawade, Kanika Rajendra Pasi, Sailee Mestry, Sanvi Sopan Patil
Author: Shraddha Shailesh Gawade
Paper ID: V7I3-1616
Paper Status: published
Published: June 2, 2021
