Lexical analyser web extension for text simplification
Lexical simplification means the process of providing alternatives to the complex words in the sentence with texts that are much simpler to understand, while also preserving the context and grammar of the original text to make the whole sentence easier to understand. All of the recent work involving lexical simplification relies on unsupervised tasks to learn simpler alternatives to complex words. But the drawback of most of these researches has been the fact that they provide simpler words without taking the context of the complex world in the sentence into account. In this paper, we are proposing a lexical simplifier that is based on contextual learnings from the sentence. We have applied the pre-trained representation model, BERT. It is a very powerful tool that can make use of the broader context of the sentence in both forward and backward directions. We have also taken the word frequency indicator from the Subtlex list, to produce results that will be more correct both semantically and grammatically. We have also added a web extension for the simplification of the text on the webpage, which takes the input from the user, processes the text on the server end, and gives the result in return after the computation is over.
Published by: Harchit Mahajan, Prateek Koul, Sukhjeet Singh
Author: Harchit Mahajan
Paper ID: V8I4-1143
Paper Status: published
Published: July 8, 2022
Impact of device parameters fluctuation on SRAM Cell
These days controlling the variation in device parameters during fabrication is a great challenge. The variations in process parameters such as the oxide thickness, channel length, and width, and doping in a channel result in a large change in threshold voltage. This process variation on design metrics of Static Random Access Memory (SRAM) cell which is used for process-tolerant cache architecture is suitable for complex memory design. The six-transistor and seven-transistor SRAM cells have been used to find the impact of process variation at 32nm technology. The 7T SRAM bit cell has a 60% improvement in SNM at the cost of area penalty, power penalty, read delay penalty, and variability penalty. This shows that the 6T SRAM cell is more efficient than the 7T cell.
Published by: Farhan Aziz, Rajneesh Yadav, Vinay Gupta
Author: Farhan Aziz
Paper ID: V8I4-1148
Paper Status: published
Published: July 8, 2022
Improved Classification of Tweet Sentiments with Semantic Features using Convolution Neural Network with Soft-Max Approach
Sentiment analysis is a process of identification of opinion and thought related to any product, people or an organization. The sentiment analysis is mainly done to understand the others opinion related to some entity. This concept is mainly used in the large organizations and E-commerce to track the user’s activity and their response related to the product. The reviews of the product help the other users to know about the product more. If the reviews of other users are positive its sale is enhanced and if reviews are negative, then it affects the product sale. Sentiment analysis is done on the basis of text and images posted by the users on the social media website. In this analysis, sentiments are classified into positive, negative and neutral. sentiment analysis can be characterized as a procedure that helps in mining of feelings, emotions, views, and opinions from content, tweets, database, and speech in an automatic way by mean of NLP i.e. Natural Language Processing. SA examination includes the classification of opinions in content into classifications like "positive" or "neutral" or "negative". It's likewise indicated as opinion-based mining, subjectivity examination, and the extraction based on judgement. This polarity is assigned according to the meaning of words and after these score of all words is combining to understand the total score and then decides the comment is positive or negative. Sentiment analysis is a challenging task because it is not easy to analyses the exact views, opinions, and feeling from the text. The way of writing the feelings are different for every people in different context and topics. This issue solved by combining the text and prior knowledge. This research work proposes the deep convolutional neural network that uses character- to sentence-level information to perform sentiment analysis of tweets. This model presented a new approach for the initialization of the weights of convolutional neural network which helps to train the network effectively and helps to add new features. The model train by using unsupervised neural language and further tuned by deep learning model on a distant supervised corpus.
Published by: Vishal Thakur, Pratibha
Author: Vishal Thakur
Paper ID: V8I4-1146
Paper Status: published
Published: July 7, 2022
Improved work flow scheduling by hybrid optimization using whale optimization in Cloud Computing
Cloud computing is a most recent methodology that is developing quicker step by step because of its compelling component and security. Distributed computing gives an approach to get to the information from wherever whenever. This component makes it famous in light of the fact that it decreases the weight of the clients. Distributed computing gives the administrations like framework, stage and programming as an administration on it. Because of these elements the Size of information on cloud in expanded and it impacts on the productivity of cloud. To defeat the issue like this planning of assignment on information is the best alternative. Work process planning for logical registering frameworks is one of the most testing issues that spotlights on fulfilling client characterized nature of administration necessities while limiting the work process execution cost. So, to lessen the cost, cloud condition, has been conveyed in cloud condition, assets will increment yet its usage is another test. To keep up and use assets in the distributed computing planning component is required. Numerous calculations and conventions are utilized to deal with the parallel employments and assets which are utilized to improve the exhibition of the CPU in the cloud condition. This work Particles swarm Optimization (PSO) and Gray Wolf Optimization (WCA) are utilized for successful booking. This work depends on the advancement of Total execution time and absolute execution cost. The consequences of the proposed methodology are observed to be successful in contrast with existing strategies. Insight advancement Particle Swarm enhancement is utilized which is instated by Pareto circulation. WCA is utilized to merge the choice of Virtual Machine (VM) relocation by its union to limit cost and time as outlined by Total execution time (TET) and Total execution cost (TEC). It is inferred that WCA performs better in contrast with existing FUZZY_HEFT calculation.
Published by: Ashok Kumar Kashyap, Pratibha
Author: Ashok Kumar Kashyap
Paper ID: V8I4-1145
Paper Status: published
Published: July 7, 2022
Maintenance of facilities for women’s safety in hostels
Safety is a state of being “safe”; it is the condition of being protected from harm. A hostel has always been regarded as a smaller, slightly cheaper alternative to a hotel, and a hostel is commonly used by students and working men or women. This study focuses on working women hostels in Hyderabad, India. This study is to re-emphasize the importance of maintenance and safety in hostels. In the last five years, several crimes have come to the notice of schools, hostels, and other areas of stay. With the intention of reducing crimes, one of the steps taken by the Cyberabad police Commissionerate is to enhance “safety” and “security”. This initiative took the form of a project called “Safe stay”. As a part of this initiative, a team of surveyors was appointed from DMS, GCET. They were provided with a checklist of items for audit. These items were regarded as “essential” for safety by Cyberabad Police. After a preliminary survey, the study was extended to studying the importance of maintenance of facilities mentioned in the checklist, in hostels to enhance or ensure safety. The current study focuses on the “MAINTENANCE’’ of facilities in women's hostels
Published by: Jyothi Pulipati
Author: Jyothi Pulipati
Paper ID: V8I4-1138
Paper Status: published
Published: July 7, 2022
Implementation of standard criteria for effective medical equipment preventive maintenance practice in District General Hospital – Nawalapitiya, Sri Lanka.
Implementation of standard criteria for effective medical equipment preventive maintenance practice in District General Hospital – Nawalapitiya, Sri Lanka. ABSTRACT Somaratne, C.J.K.1, Dharmaratne, G.S.K2 1. Director, DGH Nawalapitiya, Sri Lanka 2. Deputy Director General (Laboratory Services), Ministry of Health, Colombo, Sri Lanka. Contact email: janaka.somaratne@yahoo.com Background: Scarcity of financial resources has resulted in limited Inspection and preventive maintenance activities for the items of medical equipment in the hospitals of Sri Lanka. There is no standard criteria method applied for selecting items of medical equipment for maintenance strategies such as annual service agreements in public sector hospital of Sri Lanka. Objective: To implement effective medical equipment preventive maintenance practice in relation to service agreements of DGH Nawalapitiya. Methods: The study was carried out in year 2016 and a comprehensive data base for the medical equipment was developed initially. The new method was applied to prioritize the items of medical equipment of District General Hospital Nawalapitiya to select the items of medical equipment for annual service agreements. Results: Total of 642 items of medical equipment were identified in the hospital and 430 (66.9%) items and 212 (33.1%) items were found to be functional and non-functional respectively. According to the Wang - Levenson criteria, AEMR values were calculated, and the functional items of medical equipment were prioritized in a descending order. AEMR values were varying from maximum value of 30 to minimum value of 2. The priority list was utilized for the annual service agreements of the hospital for year 2017 / 2018 and 80 % of the items were selected according to the list. Conclusions: The Provincial Health Department has already taken initiatives to implement the new method at DGH Nawalapitiya and planning to implement it in the other health care institutions of the province. Key Words: DGH Nawalapitiya, Medical equipment, Wang & Levenson criteria, prioritization, Annual service agreements.
Published by: Dr. C. J. K Somaratne, Dr. G.S.K. Dharmaratne
Author: Dr. C. J. K Somaratne
Paper ID: V8I3-1457
Paper Status: published
Published: July 7, 2022
