Green Computing
Green Computing is the process of producing certain parts such as monitors, storage devices, computers keeping the environment in mind. Green computing also known as Green Technology aims to reduce the use of materials that are hazardous to the surroundings or environment. The amount of energy that is consumed in today’s world is huge, and hence to reduce the amount of energy consumed Green Computing is implemented to design and build energy-efficient materials. . Green Computing came into the picture in 1992 when it was encouraged by the Environmental Protection Agency (EPA) as it launched Energy Star Program. Ultimately this technology is going be the savior of we humans in the coming future
Published by: Rohan Patil
Author: Rohan Patil
Paper ID: V7I3-1691
Paper Status: published
Published: June 9, 2021
Sarcasm Detection in English and Hindi Sentences
In the growing advancement of Natural Language Processing, sarcasm detection, a part of sentiment analysis is still a challenge. It is important to detect sarcasm in the statement, especially in open platforms where people are free to express themselves, to identify the correct intended meaning of the statement mentioned. Sarcasm is an important processing problem in the NLP field of sentiment analysis, as it serves as an interface between communicating humans and machines, also such sentences can change the polarity of a sentence, which might result in wrong sentiment analysis. Here, in this project, we going to work upon sarcasm detection in news headlines, which we can get online or in news articles. We made use of LSTM[1][4], an artificial recurrent neural network architecture used in the field of deep learning[8], built around our collected dataset. The model is trained over the pre-processed dataset, cleaned with the help of the nltk library enabling it to create word embeddings, remove stopwords, etc.
Published by: Aakash Kumar, Pashmeen Kaur, M. L. Sharma, K. C. Tripathi
Author: Aakash Kumar
Paper ID: V7I3-1753
Paper Status: published
Published: June 9, 2021
Happy Home’s Application
Our goal with Happy Home’s Services Application is to be the go-to destination for millions of customers looking to research their home services. We will have a company that will provide home services. we will provide a certified services person. We will be providing experienced people. We help customers hire trusted professionals for all their service needs. We are staffed with young, passionate people working tirelessly to make a difference in the lives of people by catering to their service needs at their doorsteps. We provide housekeeping services which consist of Plumbers, Electricians, Carpenters, Cleaning and Pest Control. We also provide personal services like beauty, spa, mobile, and other appliance repairs, etc. Be it getting a plumbing job done, improving your fitness through yoga, learning to play the guitar, decorating your home, or getting candid photos of your wedding clicked, we are a sure-shot destination for your service needs.
Published by: Chintan Devani, Saurabh Singh, Anuj Sawant, Smita Dandge
Author: Chintan Devani
Paper ID: V7I3-1733
Paper Status: published
Published: June 9, 2021
Stress detection using machine learning algorithm
The longer the exposure to stress serious the health issues may occur. Many of those issues are related to the immunity, cardiovascular, endocrine systems, and many more. Once established in the body, these problems require a substantial investment of time, money, and efforts for recovery. With early detection and treatment, however, these health issues may be nipped within the bud, thus improving quality of health and hence life. Stress impairments are one of the common issues among working professionals in the tech or non-tech giants today. With changes in lifestyle, work cultures, and working schedules, there is an increase in the risk of being affected by stress among the employees working in companies. Though many industries provide psychological issues-related schemes and try to ease the workplace environment, the issue is far from control. In this paper, we would like to apply machine learning techniques to analyze stress patterns in adults and to retrieve the factors that strongly determine stress.
Published by: Muskan Jodhwani, Amita Jajoo, Ankit Chaudhary, Sahera Jamadar, Madhav Sagare
Author: Muskan Jodhwani
Paper ID: V7I3-1690
Paper Status: published
Published: June 9, 2021
Literature survey on Hyperspectral Image Compression Techniques
Hyperspectral images are the only type of images where we can verbalize about spectral resolution. The spectral resolution is defined as the interval or disseverment between different wavelengths quantified in a concrete wavelength range. Conspicuously, the more spectral channels acquired in a more diminutive wavelength range, the higher the spectral resolution will be in the scenario. Moreover, when a hyperspectral image is acquired, it is stored in a file where the spectra must be injuctively authorized in a logical manner in order to be able to reconstruct the data cube in any software. To store the file in the board or any device, have to use an algothirm to compress it in proper way to retrieve it again without any loss. In this paper, going to see and discuss about the various algorithms and techniques used to compress the hyperspectral images proposed by experts in this field, which may helpful for the future scholars in this area to see a glance around compression techniques applied on hyperspectral images for better performance of the captured data.
Published by: Santhoshini S.
Author: Santhoshini S.
Paper ID: V7I3-1740
Paper Status: published
Published: June 9, 2021
Catia customization for Design and Modeling of Two stage spur Gearbox
In this paper, we describe how the customization of design task, in solid modeling with CATIA V5 for two stage spur gearbox can be approached, by means of macros (piece of code) and with GUI form. The user has to supply some basic requirements of the gearbox and rest of the different parameters for design of gearbox is calculated by formulas. And then with the help of these parameters, part model of gearbox is created.
Published by: Mayuresh V. Patwardhan, Uddhavrao Nimbalkar
Author: Mayuresh V. Patwardhan
Paper ID: V7I3-1737
Paper Status: published
Published: June 8, 2021
