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Research Paper

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

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Research Paper

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: [email protected] 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

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Research Paper

Pests Prediction and Detection of Disease Spreading Frequency in Native crops using Machine Learning Technique

Disease and pest control models can generate information on agrochemical use only if necessary, reducing costs and environmental impacts. With machine learning algorithms, it is possible to develop models that will be used for diseases and pest warning systems to improve the effectiveness of chemical control over coffee tree pests. Therefore, infection rates are linked with climate change and measured and evaluated by machine learning algorithms for predicting the occurrence of diseases. Algorithms that are tested to predict incidence are (a)Multi-line regression (RLM); (b) K Neighbors Regressor (KNN); (c) Random Forest Regressor (RFT), and (d)Artificial Neural Networks. Pearson correlation analysis is to be considered under three different time periods,1-10 days (from 1-10 days before the incidence evaluation),11-20d, and 21-30d, and used to evaluate the unit correlations between the weather variables and infection rates. The number of days, maximum temperature, and relative humidity exceeding 80% are meteorological variables that show a significant correlation with this disease. There is a negative correlation with rainfall, and the severity of pests decreases with increasing rainfall. Machine learning algorithms can be used to predict diseases and pests.

Published by: Impana V., Vanishree K., Hemanth Kumar, Sumit Atram

Author: Impana V.

Paper ID: V8I3-1453

Paper Status: published

Published: July 6, 2022

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Research Paper

Resource demand prediction for minimizing power consumption at data centers

Technical progress in servers, systems, and capacity virtualization is empowering the production of resource pools of servers that allows various application workloads to share each server in the pool. This approach proposes and assesses the parts of a capacity management process for creating an efficient utilization of such pools and also facilitates a huge quantity of business administrations. The objective of our approach is to give a capacity management procedure to resource pools that let capacity organizers coordinate-free market activity for resource limits in a given interval of time. In this approach, we will describe the workloads of big business applications to pick up experiences for their conduct. In this paper, we will follow a trace-based approach for capacity management that relies upon the definition of required capacity and portrayal of workload request designs. The exactness of scope quantification expectations relies upon our capacity to describe workload request examples, to perceive patterns for expected changes in future requests, and reflect business conjectures for any sudden changes in future requests. A contextual analysis with 6 months of information that speaks to the asset utilization of 159 workloads in a venture server farm shows the adequacy of the proposed limit administration handle. Our results and conclusion will show that whenever we will use 8 processor systems, we will predict the exact future per-server required capacity to 1 processor every 98 percent of the time. This approach will enable a 38 percent reduction in processor utilization as compared to today’s current best practice for workload placement. This knowledge will help resource pool operators to decide on the best capacity for their server pools.

Published by: Gaurav Thakur

Author: Gaurav Thakur

Paper ID: V8I3-1459

Paper Status: published

Published: July 5, 2022

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Research Paper

Smart pothole detection system using Machine Learning

Roadways are considered the primary mode of transportation around the world. In recent years we have seen a major surge in the numbers of private as well as public vehicles traversing the road on a daily basis. As such it is very important to be cautious about potential mishaps due to road damages which can result in serious consequences. Heavy traffic, severe weather conditions, and many other things can be a major hindrance in the way of keeping the roads in good condition. Thus for traffic safety, it becomes very important to identify the various road damages, especially the hazardous ones, as quickly as possible. In this project, we are using machine learning to make a road damage identifier system that can work to detect the damage caused by various reasons.

Published by: Sayan Desarkar, Anik Basak, Ankita Ghosh, Rathindra Pramanick, Arnav Sarkar, Dr. Sangita Roy

Author: Sayan Desarkar

Paper ID: V8I3-1434

Paper Status: published

Published: July 5, 2022

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Review Paper

Seed quality assurance regulations and certification system in India: A review

The Certified seed being a soul of agriculture is scientifically produced from the seed of known genetic origin and genetic purity with controlled and tested production, processed, and declared in accordance with the Law on Seeds. Seed certification is a legally sanctioned system for quality control and seed multiplication and production as the quality seeds are inevitable to meet the challenges of the ever-increasing population by ensuring food security. Seed; being a carrier of technology, over a period of time emerged as a trade commodity. Seed quality assurance in India is subjected to the jurisdiction of the Seeds Act 1966, wherein quality seed must satisfy the requirements of Indian Minimum Seed Certification Standards (IMSCS), whereas; under the global scenario seed quality assurance system for seed export comes under the scope of Organization for Economic Cooperation and Development (OECD) standards and International Seed Testing Association (ISTA) methodology of seed testing. The present paper reviews the important stages of the seed certification procedure to be followed to ensure the quality of seed and related aspects of quality regulations in the Indian contest.

Published by: Dr. Vaibhav V. Ujjainkar

Author: Dr. Vaibhav V. Ujjainkar

Paper ID: V8I3-1448

Paper Status: published

Published: July 5, 2022

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