Real time emotions recognition and analysis based music player
One of the most essential components of an individual’s body is the human face and it acts as the main indicator for the behavioral and the emotional state of the individual face and it's very important for the human to extracting the required input from the human face can be done by using camera directly. The mean of this examination is making facial expression Recognition (FER) conspire by Utilizing the CNN Algorithm and tensor flow to recognize the face by the camera. Facial expression analysis is used in a different way to detect human emotions. There are four types of emotions are recognized: happy, sad, angry, neutral depends on the mood. The playlist itself have the songs in the database, it plays the songs according to the mood detect by the Camera. This research paper is effective because we are using the different algorithm i.e. CNN model which is based on Machine Learning which gives accuracy and reduces the time to recognize the emotions
Published by: Mahek Gupta, Shreya Singhal, Mohit Pandey
Author: Mahek Gupta
Paper ID: V5I2-1899
Paper Status: published
Published: April 16, 2019
A new mechanism on hate speech detection with hateful and offensive expressions on Twitter using various machine learning techniques
A lethal online substance has turned into a noteworthy issue in this day and age because of an exponential increment in the utilization of the web by individuals of various societies and instructive foundation. Separating hate speech and offensive language is a key test in the programmed detection of dangerous content substance. In this paper, we propose a way to deal with naturally order tweets on Twitter into three classes: hateful, offensive and clean. Utilizing Twitter dataset, In this paper, we propose a way to deal with distinguish hate expressions on Twitter. Our methodology depends on unigrams and examples that are consequently collected from the preparation set. These examples and unigrams are later utilized, among others, as highlights to prepare a machine learning calculation. Our analyses on a test set made out of 2010 tweets demonstrate that our methodology achieves an exactness equivalent to 87.4% on identifying whether a tweet is offensive or not (twofold classification), and precision equivalent to 78.4% on distinguishing whether a tweet is hateful, offensive or clean (ternary classification).
Published by: Md. Ah Hassan Rayon Hussain
Author: Md. Ah Hassan Rayon Hussain
Paper ID: V5I2-1881
Paper Status: published
Published: April 16, 2019
A review on casting defects reduction in a foundry shop using DMAIC technique
To become globally compatible and to gain business as well operational excellence industries are implementing various quality improvement initiatives like Lean manufacturing, ISO certification, Total Quality Management, Quality Circle, etc.. But results explored by these initiatives are time constrained and not that much profitable. So methodology, which can provide breakthrough improvement in a short time, is required to be introduced and implemented. Six Sigma is the same methodology which can provide breakthrough improvements in a short time period, so it is very essential to explore its application for gaining quantum gains and profit in terms of quality, market share and customer satisfaction.
Published by: Wasim Ahmad, Anil Verma, Priyanka Jhavar
Author: Wasim Ahmad
Paper ID: V5I2-1952
Paper Status: published
Published: April 16, 2019
Gujarati word recognition
In this paper, we describe various techniques of character recognition for Gujarati text detection. We usually use OCR for character recognition. For the development of Gujarati text detection tool, we use the review of this paper. Recognition and its types can be described with the help of basics. A special property of the text can be taken into consideration while recognition process going on.
Published by: Monika Sudhakar Ugale, S. T. Patil
Author: Monika Sudhakar Ugale
Paper ID: V5I2-1878
Paper Status: published
Published: April 16, 2019
Virtual reality of interior architecture
VR is an interactive computer-based on experience takes place within a simulated environment. It always gives in mainly auditory and visual feedback but may also allow other types of sensors. The environment created by virtual reality can be similar to the real world. By implementing our project in Virtual Reality, it has become convenient for the market value also for business purpose. Lots of manpower and resources are wasted in the civil engineering field. In order to use man power efficiently, the planning of jobs should be done well in advance. Usually, the 3D model is done using unity gaming software. In this virtual reality plays an important role in making the human efforts to the zero. In our project, we have implemented the sample room of a flat in the vr3d model. Basically in civil field builder spends lakhs of money In building the sample rooms to show to their customers, implementing VR room it has made very simple and efficient for the purpose of making sample rooms. It is very economical. The virtual reality is based applications require a significant level of effort in creating a virtual environment that represents the real world. To save the money that will be wasted by building sample rooms we can simply render the sample room in virtual reality. This will save the cost, resources, and manpower that will be needed for future development purpose.
Published by: Sneha More, Tejas Wagh, Yugant Suryawanshi
Author: Sneha More
Paper ID: V5I2-1916
Paper Status: published
Published: April 16, 2019
E-attendance system using face recognition
Traditionally, the attendance of the students has been a major concern for the colleges and the faculties have to spend quite some time of their lectures for taking the attendance manually. In this paper, we are introducing a new way of attendance monitoring by making use of smartphones available with the teachers. We have suggested the use of YOLO algorithm for face detection and Siamese network for face recognition. This system will automatically mark the attendance of the students and thereby save the time and efforts for the faculties. The designed system will be quite efficient and reliable as Siamese network has proven to render high accuracies in face recognition.
Published by: Aditya Ladage, Pooja Pache, Sahil Maniar, Sheetal Pereira
Author: Aditya Ladage
Paper ID: V5I2-1866
Paper Status: published
Published: April 16, 2019
