Professional chat application based on natural language processing S Karthick, R John Victor, S Manikandan, Bhargavi Goswami 2018 IEEE International Conference on Current Trends in Advanced Computing Icctac 2018, 2018 There has been an emerging trend of a vast number of chat applications which are present in the recent years to help people to connect with each other across different mediums, like Hike, WhatsApp, Telegram, etc. The proposed network-based android chat application used for chatting purpose with remote clients or users connected to the internet, and it will not let the user send inappropriate messages. This paper proposes the mechanism of creating professional chat application that will not permit the user to send inappropriate or improper messages to the participants by incorporating base level implementation of natural language processing (NLP). Before sending the messages to the user, the typed message evaluated to find any inappropriate terms in the message that may include vulgar words, etc., using natural language processing. The user can build an own dictionary which contains vulgar or irrelevant terms. After pre-processing steps of removal of punctuations, numbers, conversion of text to lower case and NLP concepts of removing stop words, stemming, tokenization, named entity recognition and parts of speech tagging, it gives keywords from the user typed message. These derived keywords compared with the terms in the dictionary to analyze the sentiment of the message. If the context of the message is negative, then the user not permitted to send the message.
Arduino based IOT platform for remote monitoring of heart attacks and patients falls Manikandan Shanmugam, Monisha Singh Journal of Computer Science, 2018 Internet of things (IoT) is a networking concept that allows connection of various smart devices. This concept plays a huge role in the healthcare industry. The developed system is a working prototype for real-time monitoring of patient falls and heart attacks. The process of developing this system included an architecture, which was built using Arduino UNO and Arduino NANO along with pulse sensors and accelerometer sensors. The main idea is to collect health-related data from time to time and the collected data is made available using a real-time interface called Thingspeak. With the help of this process, the person can be monitored from time to time without any hassle. The proposed system also makes use of delivering notifications at the time of emergency using the GSM technology, which is embedded with the Arduino architecture. This system will be of greater help to elderly people, people suffering from Frankenstein disease or people who are in a history of getting heart attacks due to genetic disorders.
Analysis on emotion-aware healthcare and Google cloud messaging Manikandan Shanmugam, Monisha Singh IEEE International Conference on Innovative Mechanisms for Industry Applications Icimia 2017 Proceedings, 2017 Cloud computing has the potential to get integrated with the healthcare sector. It provides functionality for managing data in a distributed environment. The concept of Healthcare services is becoming popular in the Healthcare sector as it helps the patients to get immediate access regarding his/her health related information whenever needed and wherever needed using cloud computing technology. The Big Data Application in Emotion-aware Healthcare system [BDAEH], gives attention to both the emotion factor and logical reasoning of the user. The basic functions of this system are collecting health-related data, transmitting the collected data, analyzing the received data, storing them and making it available to a user in order to perform diagnosis and predict medications. Mobile devices are becoming an essential tool in our day to day lives. By integrating the concept of Google Cloud messaging alongside BDAEH system, numerous tasks can be done efficiently.
A comparitive study on traditonal healthcare system and present healthcare system using cloud computing and big data Manikandan Shanmugam, Monisha Singh Proceedings of IEEE International Conference on Signal Processing and Communication Icspc 2017, 2017 Cloud computing is one the emerging technology which provides all the necessary resources required for day to day operations of an organization in a virtual environment. It is also known as green computing as it reduces the physical existence of the hardware resources. Health is being considered as a basic right for an individual. Even though there are advancements in the healthcare sector of India when compared to earlier stages, there is still a need for betterment in this sector. In order to make progress in this field, constant learning and better economic standards are needed. This paper provides a comparative view of the progress made by India in the healthcare sector after the introduction of two major technologies such as cloud computing and big data.
RECENT SCHOLAR PUBLICATIONS
A Study on Smart Device Application Platform M Shanmugam, M Singh Recent Findings in Intelligent Computing Techniques: Proceedings of the 5th … , 2018 2018
Professional chat application based on natural language processing S Karthick, RJ Victor, S Manikandan, B Goswami 2018 IEEE International Conference on Current Trends in Advanced Computing … , 2018 2018 Citations: 20
Arduino Based IOT Platform for Remote Monitoring of Heart Attacks and Patients Falls. M Shanmugam, M Singh J. Comput. Sci. 14 (4), 574-584 , 2018 2018 Citations: 10
A comparitive study on traditonal healthcare system and present healthcare system using cloud computing and big data M Shanmugam, M Singh 2017 international conference on signal processing and communication (ICSPC … , 2017 2017 Citations: 6
Smart stick for blind people M Shanmugam, J Victor, M Gupta, K Saravanakumar, I Mca Int J Trend Res Develop (IJTRD) 1, 30-32 , 2017 2017 Citations: 12
Analysis on emotion-aware healthcare and Google cloud messaging M Shanmugam, M Singh 2017 International Conference on Innovative Mechanisms for Industry … , 2017 2017 Citations: 4
MOST CITED SCHOLAR PUBLICATIONS
Professional chat application based on natural language processing S Karthick, RJ Victor, S Manikandan, B Goswami 2018 IEEE International Conference on Current Trends in Advanced Computing … , 2018 2018 Citations: 20
Smart stick for blind people M Shanmugam, J Victor, M Gupta, K Saravanakumar, I Mca Int J Trend Res Develop (IJTRD) 1, 30-32 , 2017 2017 Citations: 12
Arduino Based IOT Platform for Remote Monitoring of Heart Attacks and Patients Falls. M Shanmugam, M Singh J. Comput. Sci. 14 (4), 574-584 , 2018 2018 Citations: 10
A comparitive study on traditonal healthcare system and present healthcare system using cloud computing and big data M Shanmugam, M Singh 2017 international conference on signal processing and communication (ICSPC … , 2017 2017 Citations: 6
Analysis on emotion-aware healthcare and Google cloud messaging M Shanmugam, M Singh 2017 International Conference on Innovative Mechanisms for Industry … , 2017 2017 Citations: 4
A Study on Smart Device Application Platform M Shanmugam, M Singh Recent Findings in Intelligent Computing Techniques: Proceedings of the 5th … , 2018 2018
