Framework for analyzing stress using deep learning
These days most people frequently experience stress and anxiety. Chronic and excessive stress can lead to increase in blood pressure, insomnia, heart attacks or even death. Stress has become a prevailing factor for causing mental illness agencies. The Leacock-Chorodow (LCH) algorithm, an advanced deep learning algorithm along with the WordNet library. If we do not get a control on our stress, it becomes deep-rooted and can seriously interfere with our daily activities. So, it is important to detect stress before it interferes with a person’s well-being. Traditional face-to-face psychological diagnosis and treatment cannot meet the demand of peoples' stress completely due to its lack of timeliness and diversity. Nowadays the influence of Facebook, Twitter, YouTube and other social media giants has spread across modern society. People share their daily activities with friends on social media platforms. So, we create a social website where people can interact with their friends and this social media data can be used to analyze user’s stress state. Our model will be useful in developing stress detection tools for health is used to detect the stressed words from a user’s tweet. We subsume two types of attributes namely tweet-level content attributes where we consider each and every tweet or post made by the user and user-scope statistical attribute where the weekly tweet is taken. We propose a Deep Neural Network (DNN) model to incorporate the two types of user-scope attributes to detect users’ psychological stress. Our social website can be used to detect stress based on the user’s interactions with his friends and how active the user is on the social website.
Published by: Arun Kumar S, Newby Das, Nishchitha D S, Ranjitha V, Sahana M R
Author: Arun Kumar S
Paper ID: V4I3-1869
Paper Status: published
Published: June 14, 2018
Fuzzy theory based resource allocation problem with possibilistic approach: A case study of sandwich factory
Now a day many service industries do not aim the optimal data as in real situation. Many decision making is done using fuzzy data if we want to select the products like mobile, food, laptop, clothes, cars, house, property etc we see the rating or stars i.e. is actually fuzzy data. Most of the service provider asks for the feedback from the customer, those data which they collect sometime in the form of (bad, good, excellent) some time (bad, average, good, excellent) sometime in the form of stars etc. In this chapter, we have formulated the problem of resource allocation problem using triangular and trapezoidal numbers in the objective function. We have deployed possibilistic approach to convert fuzzy problems into single-valued and then linear and exponential membership function is used as tools. Lingo 15 is used to solve the problem. Using different sap parameter optimal solution is obtained with the degree of satisfaction which helps Decision maker to take the decision.
Published by: Kirti Kumar R Patel, Anita R Tailor, Mukesh Patel, Jayesh M. Dhodiya
Author: Kirti Kumar R Patel
Paper ID: V4I3-1842
Paper Status: published
Published: June 14, 2018
Stock split and its impact on stock market – Evidence from Indian stocks
The study attempted to assess the impact of the stock split on the stock price, volatility, and liquidity. To do this a sample of 365 companies are considered which has undergone split during the period 2011 to 2017. The paired t-test is carried out for pre and post values of Mean Return, Volatility, Beta, Sharpe’s Ratio, Treynor Ratio, CAPM Return, Abnormal Return, and Liquidity to assess the impact of the split event on the stock performance. Overall results say that there is a drop in stock returns and increase in volatility after the split. There is no significant change in liquidity with the split. But when the analysis is done separately for costly and cheap stocks, it revealed that for costly stocks, there is the drop in returns, there is no further worsening of volatility and significant improvement in liquidity post-split. Thus split is effective to some extent only for costly stocks in terms of increase in the volume of trades after the split. Otherwise, this corporate action is not of any positive impact on wealth creation, volatility or liquidity.
Published by: Dr. Swapna Sen
Author: Dr. Swapna Sen
Paper ID: V4I3-1764
Paper Status: published
Published: June 14, 2018
Salient factors leads to stress management
Stress is a hot – button issue for a daily life. It is a key challenge for the organizations because organizations with stressed employees are more likely to be unsuccessful in the market. Stress is a complex fact in an individual’s life with no easy answer, Generally it is a condition of pressure or tension on an individual that affect’s individual’s health and performance at workplace. Job strain factors and stress management for workers in the manufacturing industries were reviewed in this article. Major job stress factors included high job demands, low job control, low social support, role ambiguity and conflict the physical, chemical and ergonomics of the work environment, work patterns with work schedule and shift work and job insecurity regarding future employment. In considering counteract the Job stress factors mentioned above. It is essential to use an organizational approach in the work environment.
Published by: P. Sivasankari
Author: P. Sivasankari
Paper ID: V4I3-1796
Paper Status: published
Published: June 14, 2018
Google glass
Dynamic Most of the general population who have seen the glasses, however, may not be permitted talking openly; a noteworthy component of the glasses was the area data. Google will have the capacity to catch pictures of its PCs and enlarged reality data comes back to the individual wearing them through the camera effectively inherent on the glasses. For the minute, if a man taking a gander at a point of interest then he could see verifiable and nitty-gritty data. Likewise remarks about it that their companion's cleared out. In the event that its facial acknowledgment programming ends up direct and sufficiently exact, the glasses could remind a wearer and furthermore discloses to us when and how he met the foggy recognizable individual remaining before him at a capacity or gathering. A PC which is scene based worked straightforwardly through your eyes instead of your pocket or pocket. A skilled innovation for a wide range of Handicapped/crippled individuals.
Published by: Harsha S, Bhavya G
Author: Harsha S
Paper ID: V4I3-1577
Paper Status: published
Published: June 13, 2018
Internet of things based intelligent street lighting system for smart city
This project aims for designing and executing the advanced development in embedded systems for energy saving of street lights. Currently, we have a manual system where the street lights will be switched ON in the evening before the sunsets and they are switched OFF in the next day morning after there is sufficient light on the outside[1]. But the actual timing for these lights to be switched ON is when there is absolute darkness. With this, the power will be wasted up to some extent. This project gives solution for electrical power wastage [2]. Also, the manual operation of the lighting system is completely eliminated. The proposed system provides a solution for energy saving. This is achieved by sensing and approaching a vehicle using an IR transmitter and IR Receiver couple. Upon sensing the movement the sensor transmits the data to the microcontroller which furthermore the Light to switch ON [4]. Similarly, as soon as the vehicle or an obstacle goes away the Light gets switched OFF as the sensor senses an object at the same time the status(ON/OFF) of the street light can be accessed from anywhere and anytime through the internet. This project is implemented with the smart embedded system which controls the street lights based on detection of vehicles or any other obstacles on the street.W he never the obstacle is detected on the street within the specified time the light will get automatically ON/OFF according to the obstacle detection and the same information can be accessed through the internet. The real-time information of the street light(ON/OFF Status) can be accessed from any time, anywhere through internet.
Published by: A. Siva Puttal Reddy, Dr. J. Mohana
Author: A. Siva Puttal Reddy
Paper ID: V4I3-1709
Paper Status: published
Published: June 13, 2018
