Green Building: A Review
Green Building is a technology which has been developed and put forward in recent years, so as to lead our world towards economic, global as well as social sustainability. Green buildings are quite related to sustainable buildings and they are interchangeable. Green buildings are helpful considering several factors like reduction of carbon footprint, usage renewable energies, use of less energy,usage of smart materials and so on. In recent times, world is facing a major problem of drastic climate change. A major contributor to climate change is the construction industry. Buildings are responsible for an estimated 33% global greenhouse gas emission. Between 1971 and 2004, Carbon dioxide (CO2) grew 2.5% for commercial buildings and 1.7% for residential buildings. This puts the concept of green building in light. Government all around the globe have started to take this concept solemnly. Few organizations are in place for rating green buildings. LEED also known as Leadership in Energy and Environmental design is one of the leading organization. Green building rating system in India are Green Rating for Integrated Habitat Assessment (GRIHA), Indian Green Building Council (IGBC). These organizations rate the buildings on various factors like operation, cost, maintenance, etc. The intention of writing this paper is to acquaint everyone with green building.
Published by: Chetan Sonvane, Ompriya Kale
Author: Chetan Sonvane
Paper ID: V6I4-1154
Paper Status: published
Published: July 15, 2020
Detection of Cyberbullying using Machine Learning
Cyberbullying is a form of bullying in which technology is used as a medium to bully someone. As the new boom of the internet and other social media platforms are increasing, the number of users is also increasing and the main users of social media are mostly teens and young adults. As much as these social media platforms are used for getting new information and for entertainment, it is more prone for bullies to uses these networks as vulnerable to attacks against victims. Due to the increase in cyberbullying on victims, it is in need to develop a suitable method for the detection and prevention of cyberbullying. A growing body of work is emerging on automated approaches to cyberbullying detection. These approaches utilize machine learning and natural language processing techniques to identify the characteristics of a cyberbullying exchange and automatically detect cyberbullying by matching Textual data. The main objective of this project is to detect cyberbullying by matching both Image and Textual data. The test cases and are used to classify the dataset and detect the bullying. Machine learning techniques are used to efficiently predict and detect cyberbullying.
Published by: Sinchana C., Sinchana K, Pradyumna C S, Deepika S
Author: Sinchana C.
Paper ID: V6I4-1214
Paper Status: published
Published: July 13, 2020
Challenges in education management due to the Coronavirus pandemic
With the Coronavirus pandemic, educators across the board have had to rethink and devise innovative, yet accessible ways and means to reach out to the students. Today’s day invokes a great sense of anxiety, as far as the future is concerned, owning to the fact that there is not yet a vaccine to the virus, rampant and swift job loss and discontinuity of businesses. The ongoing pandemic has changed the way that most of us go about doing our jobs. Each one is grappling with what is now the ‘New Normal’, that is a volatile, uncertain, complex and ambiguous environment, where adaptability is of utmost importance. Just a few months ago, educators across the board were delivering lectures in well organised classes, without much to worry about, save examination, correction, completing syllabus, and other routine activities part of education management. How quickly this bastion of learning has had to adapt to the changing environment. But has the old system of education been parcelled out? This paper aims to look into the challenges faced by educators in a developing nation, India, where there is no standard quality of education, and more importantly, technology is not ubiquitous across the geography of India.
Published by: Divya Tahira Mayadas
Author: Divya Tahira Mayadas
Paper ID: V6I4-1202
Paper Status: published
Published: July 11, 2020
Design of flexible FFT core for fast computing of digital signals in real time applications
To meet needs of the customers, real-time signals are processed dynamically in many of the wireless communications, audio/video processing and industrial control applications. The heart of any computation is DSP Processor. Traditionally, dedicated (application-specific) architectures are used for high performance DSP applications. This trend continues today as more digital signal processing and image/video processing algorithms are implemented on single chips. The three optimization factors which every designer will be concerned about are area, speed, and power. Out of which speed is an important factor to be considered in real-time applications. To facilitate the requirement of fast computing, a scalable and reusable FFT Processor is designed and verified for its functionality. In paper a radix-2 butterfly is designed and implemented for fast computation of digital signals which is scaled to perform 8-point DIT FFT and 16-point DIT FFT. The design also supports reconfigurability feature to meet the design specification.
Published by: Deepa S., Dr. Yasha Jyothi M. Shirur
Author: Deepa S.
Paper ID: V6I4-1207
Paper Status: published
Published: July 11, 2020
Pinpointing the sort of bosom malignancy for exact treatment
The second-largest cause of carcinoma death is breast carcinoma in woman. The Breast carcinoma development is one multi-stage cycle that requires many cell types, and its detection remains challenging worldwide. One of the best approaches to avoiding this disorder is Fast treatment with cancer in breasts. In the past decade, there have been significant progress over identifying breast cancer and improving prevention approaches. Pathogenicity in breast carcinoma stem cells and tumor drug resistant mechanisms are shown and many genes associated with the disease are found. In this analysis, we will sum up how breast cancer is defined and which category it belongs to through order to provide specific treatment and medications to promote rapid recovery. Identification of the form will allow us to recognize the drug to react and get rid of. Through using the dataset as feedback, we use it to differentiate if it is non-invasive / invasive. When it falls under non-invasive, we use the sub-category to define that it fits under DCIS / LCIS. If it falls under invasive, we use it to classify that sub-category, whether it falls under IDC / ILC / OTHER Forms. we will sum up the concept of breast cancer and its diagnosis and include therapies and medicines that help a quick recovery. Identification of the type will allow us to identify and get rid of the medication.
Published by: Sravani
Author: Sravani
Paper ID: V6I4-1191
Paper Status: published
Published: July 11, 2020
Decolorization of Azo dyes and Triphenylmethane dyes using Citrobacter diverses isolated from textile waste
Release of residual dyes into natural water bodies through industrial waste water is considered to be a potential threat to the environment. There are several traditional physio-chemical treatment methods to remove such organic and inorganic dyes, but these are costly and create secondary sludge disposal problems. Bioremediation is offered the best approach to overcome the limitations of traditional methods. Thus, this study was undertaken to isolate bacteria possessing the high potential to degrade the different types of dyes. Total of 12 different dyes decolorizing bacterial isolates were obtained from textile wastewater using enrichment and isolation techniques. Out of these isolates, Citrobacter diverses was found to be the most prominent dyes decolorizing bacteria. It showed 79% to 98% decolorization of MR (Methyl red), MG (Malachite green), CR (Congo red), CV (Crystal violet), CF (Carbol fuchsin) dyes within 72 h. It showed maximum decolorization in presence of optimum growth conditions like 1.5gm/L yeast extract, sucrose, and glucose as a carbon source, peptone, and NH4SO4 as a nitrogen source of medium pH 7.0 at 37°C. This isolate showed the highest decolorization in its free cell form as compared to its immobilized form. According to these results, the obtained strain of Citrobacter diverses confirms its application in bioremediation process of dyes in In-situ.
Published by: Dr. Kirti Jayant Mhatre
Author: Dr. Kirti Jayant Mhatre
Paper ID: V6I4-1163
Paper Status: published
Published: July 11, 2020
