Face detection and emotion recognition system
Recognizing Human facial expressions and emotions by computer is an interesting and challenging problem. Recently there has been an increasing interest in improving the interaction between humans and computers. The face is a feature that can differentiate from person to person. Emotion is expressed through face, body gestures, and speech. Emotions through faces vary from situation to situation and person to person. The Face Detection and Emotion Recognition System automatically recognizes the faces and emotions of the persons accurately in an image. The convolutional neural network concept applied with machine learning and image processing is used in classifying universal emotions such as Happiness, Sadness, Anger, Disgust, Surprise, Fear, and Neutral. Color images that are showing the human faces are given as input to the detection system. This face emotion recognition system mainly consists of four steps. They are Image Pre-Processing, Face Detection, Facial Feature Extraction, and Emotion Recognition. Image Pre-Processing is a step to change the image in Binary or Grayscale format and resizing the image in 48x48 pixels. Face detection is a method and that is capable of verifying or identifying and capturing the frames of the faces from an image. Feature extraction is a method to identify the characteristics of the person’s face captured in the image and comparing the faces in the image whether the faces of the persons are the same or not. In the final step, Emotion recognition is trying to acquire the various expressions of emotions that a person can make through their faces to communicate with each other. In emotion recognition step it can predict the emotion of the person in any kind of images or videos. This system can detect the faces and recognize the emotion of the person accurately by considering the live feed camera images and pre-existing image and video clues.
Published by: Tamatam Sowjanya
Author: Tamatam Sowjanya
Paper ID: V7I2-1245
Paper Status: published
Published: March 23, 2021
Coronavirus: A challenge that influenced nearly all fields of science
While the world was busy in fighting over toilet papers, scrolling the memes down the social media, binge watching TV all day long and getting beaten up by police for getting outdoors, there were some people in white coats out there who were working for day and night in the laboratories all around the globe. It was first used in print in the year 1968 by an informal group of virologists in the journal Nature to designate a new family of viruses. The name refers to the characteristic appearance of virions (which is the infective form of the virus) by electron microscopy, which have a fringe of large, bulbous surface projections which make the structure of virus resemble the structure of solar corona or halo. This morphology in coronavirus is created by the viral spike peplomers, which are proteins on the surface of the virus. Out of the wide range of coronaviruses the one causing COVID-19 in humans and which also is the biggest challenge for science is caused by the Severe Acute Respiratory Syndrome Coronavirus 2 or better said SARS-CoV-2. We are unaware of the reason, but the spikes on the surface of coronavirus are just the right shape to lock onto these ACE2 enzymes and bind tightly. Scientists of many fields have jumped in the race to defeat the coronavirus. But what is the use of this in the fight against coronavirus? The whole world is in the midst of a COVID-19 pandemic. When a safe and effective vaccine is found, COVAX have decided to facilitate the equitable access and distribution of these vaccines to protect people in all countries.
Published by: Aditya Anil Kadam
Author: Aditya Anil Kadam
Paper ID: V7I2-1230
Paper Status: published
Published: March 23, 2021
Reversible data embedding using difference expansion scheme for watermarking
Reversible Data Embedding is a lossless reversible data embedding technique that embeds invisible data known as payload into the input image and uses the Difference Expansion (DE) technique. This paper uses a DE-based reversible scheme to reduce the amount of auxiliary information embedded and to increase the watermark length. The key concepts discussed in this paper are: Reversible Embedding, Extraction, and Restoration of the original dataset with minimal distortion. By observing redundancy, reversibility can be explored. Payload, PSNR, and Watermark Length have been used to assess the effectiveness of DE. Four data sets have been used - Lena, Boat, Airplane, and APC. For Lena, the payload obtained is 31.14 and the payload was found to be 0.76 implying that more information can be embedded in an image than in the standard methods.
Published by: Shriya Tatachar, Rakesh K. R., G. R. Namita, Rohit Kulkarni
Author: Shriya Tatachar
Paper ID: V7I2-1222
Paper Status: published
Published: March 23, 2021
The feasibility of using Supercritical CO2 cascade cycle in the combined cycle
Electricity is a form of energy that expected to be increased and grown in most industrial sectors. The Gas turbine (GT) the equipment used to convert natural gas to electricity because it is cleaner than other fossils fuels. Using a stand-alone GT has many disadvantages like the low efficiency which about 30-40 % and most importantly is the waste of energy that goes through the exhausted gases. The bottom cycle is a solution to recover this energy. Commonly, heat recovery steam generation (HRSG) is used to utilize the waste energy but using HRSG is considered not efficient although it can increase the system efficiency to 60 %. The cycle used to recover the heat is called also a bottoming cycle. Besides, the requirement of the weight and space availability in mature onshore fields and offshore fields. The sCO2 cycle is considered a promising alternative bottoming cycle due to the additional produced power and also its compactness. This study evaluates the cascade sCO2 cycle used by (Kim et al., 2017) in comparison with the traditional steam Rankine cycle. To make this comparison fear, once through (one-stage) is combined with the bottoming cycle. The base case was remodeled by Aspen HYSYS software and was validated with the existing topping cycle a bottoming cycle studied by (Følgesvold et al., 2017). The thermodynamic analysis was evaluated to show the possible increase in the produced power. the results indicate that the cascade sCO2 cycle produces higher power.
Published by: Ali Abdulkarim Alazzawi
Author: Ali Abdulkarim Alazzawi
Paper ID: V7I2-1203
Paper Status: published
Published: March 23, 2021
Voluntary disclosure practices- A comparative study of top public and private sector banks in India
A voluntary disclosure practice plays a major role with respect to stakeholders. It creates a high quality of financial and non-financial information which is useful for the stakeholders to make the decisions. The voluntary disclosure practices provide the information to the stakeholders to make the investment decisions. Therefore, it is necessary for every bank to make timely and full disclosures in the annual reports of the banks. This paper is an attempt to examine the voluntary disclosure practices prevailing in commercial banks in India. In addition to this, a comparative analysis of voluntary disclosure practices of public sector banks and private sector banks in India for the period 2018-2021.
Published by: Dr. B. Shailaja
Author: Dr. B. Shailaja
Paper ID: V7I2-1242
Paper Status: published
Published: March 23, 2021
A new interleaved ZVS resonant converter using Dickson capacitor configuration
A New Automatic Interleaved Dickson Switched-capacitor Converters (AIDSCC) and its ZVS resonant configuration are proposed. Different from the traditional Dickson switched-capacitor converter (SCC), the AIDSCC has a symmetrical configuration with functions of interleaved input current, small output voltage ripple, and decrease peak capacitor voltage strain. To improve the line regulation capability, one small resonant inductor is inserted and two bulky capacitor banks are changed through two smaller resonant capacitors, forming the Resonant AIDSCC. The transistors are ZVS became on and diodes are ZCS grew to become off through running above the resonance. With frequency modulation inside an affordable range, the voltage-gain variety of the Resonant AIDSCC is elevated substantially, even as sacrificing the most performance due to the higher conduction loss.
Published by: Sahana S.
Author: Sahana S.
Paper ID: V7I2-1215
Paper Status: published
Published: March 22, 2021
