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Research Paper

Improving performance in Central Sterile Supply Department(CSSD) management through performance measurements utilizing user satisfaction surveys and intervention.

Surgical procedures leading to surgical site infections, and medical procedures associated with iatrogenic infections can be made negligible with sterilization and decontamination of instruments and medical devices The Central Sterile Services Department (CSSD) is the hub in the hospital working to provide sterile instruments and packs to all areas of the hospital. The quality of services provided by the CSSD Department in AIIMS Bibinagar regarding the processing as well as the service was to be assessed by all the user departments. The questionnaire was devised after discussion and distributed to the end-user personnel. There were 19 questions addressing the timing, etiquette, equipment, damages, delays, validation as well as feedback regarding improvement. There were a total of 107 respondents of whom 87 were nursing officers and 25 were doctors from medical, surgical, obstetric, orthopedic, ENT, and ophthalmological specialties. The data collected was collated in Microsoft Excel and descriptive analysis was done. The results showed that more than 90% were satisfied with the validation process, the packing of items, the etiquette of the personnel, and the cleanliness of the equipment. Critical responses to consider for intervention included a lack of awareness regarding the indicators and the validation of the sterilization process, nearly 68% lacked knowledge of this. Further, there was dissatisfaction regarding updates and any recent innovations in the system. Only 62% were overall satisfied with the CSSD service, with 11% not sure as to what can be improved. Interventions to improve the services to address the issues raised from the feedback were created utilizing the available resources

Published by: Dr. S. Kalyani Surya Dhana Lakshmi, Dr. A. Bhargav Ram, Rahul K.

Author: Dr. S. Kalyani Surya Dhana Lakshmi

Paper ID: V9I5-1139

Paper Status: published

Published: September 12, 2023

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Research Paper

Liver disease detection using Machine Learning techniques

Liver disease is the leading reason of death worldwide, The liver is responsible for metabolic, strength-storing, and waste-filtering functioning in your body. The aim of this study is to develop a machine learning-based technique for liver disease prediction in people. This study on liver disease detection models is meant to determine the best techniques for selecting and synthesizing the many studies of high quality. The majority of health data is nonlinear, correlation-structured, and complex, making it complex to evaluate. The use of ML-based techniques in healthcare has been ruled out. This work uses various machine learning algorithms like decision trees, Naïve Bayes, SVM, Random Forest, CatBoost, and Soft Voting Classifier on the Indian Liver patient dataset to predict liver disease. The research work gives the correct or maximum accuracy model showing that the model is able to predict liver diseases effectively. Our end result shows that the Voting classifier attains higher accuracy as compared to other machine-learning models

Published by: Taranpreet Kaur, Dr.Vinay Chopra

Author: Taranpreet Kaur

Paper ID: V9I5-1136

Paper Status: published

Published: September 11, 2023

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Research Paper

Electric vehicles in the Indian market

The Indian automotive industry is undergoing a significant transformation with a growing emphasis on sustainable and environmentally friendly transportation solutions. Electric vehicles (EVs) have emerged as a promising alternative to conventional internal combustion engine (ICE) vehicles. This research paper explores the current landscape of electric vehicles in the Indian market, focusing on their adoption, challenges, and future prospects. This research paper concludes whether or not Revv (a self-drive car rental business operational all across India) should switch to EVs from traditional ICE vehicles.

Published by: Armaan Jain

Author: Armaan Jain

Paper ID: V9I2-1411

Paper Status: published

Published: September 8, 2023

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Research Paper

Use of waste plastic to enhance the property of modified bitumen pavement

The construction of flexible pavement is most commonly done by the bituminous mix. It constitutes asphalt or bitumen acting as a binder and is mixed with aggregate which is compacted after being laid in layers. The conventional bituminous pavement with proper design and execution under usual circumstances gives satisfactory results, but often in various conditions, the performance is very low. With the increased volume of traffic, increased loads, and variation in seasonal as well as daily temperature the asphaltic concrete pavements have shown better performance. On the contrary, the performance of bituminous pavement is very low in damped conditions. On considering these factors the modification of bitumen and the addition of polymer in bitumen has been an alternative. Experiments have been conducted and inferred that the addition of polymer to binders has helped to increase the cohesive bond between the binder and aggregate which in turn has improved the characteristics of asphalt pavement to meet the growing need. The additive used to modify the mix must satisfy the essential strength as well as economic aspects. India has rapid use of plastic in its lifestyle and is increasing day by day. These are major threats to society and management is another major issue. The use of recycled material in road pavement is one of the most innovative forms of sustainability. Thin bags are mainly composed of low-density polyethylene which is used for packing, protecting, and many applications. The Low-Density Polyethylene which is one of the polymers when experimented has indicated the potential of enriching the asphalt mixture. The study aims to add a varying percentage of the polymer as an aggregate coat and to find the optimum percentage by weight of polymer to be added to the mix. A comparison is to be done between the conventional and polymer-added mix to find the difference in rheological properties between them. The prospect of the experiment is to know that the addition of polymer (mainly waste plastic) results in an improvement in the properties of the road which results in minimization of maintenance of road work which in turn is economical. It is also expected to substantially reduce the volume of environmentally hazardous plastic and environmental pollution.

Published by: Krupanjali Bhange, Harshad. S. Nandurkar, Vaikalya Vinay Mallelwar, Shriyash S. Badave, Sagar Pomu Pawar

Author: Krupanjali Bhange

Paper ID: V9I2-1444

Paper Status: published

Published: September 5, 2023

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Research Paper

Advanced autoscaling and team tenancy for Hadoop job clusters

Hadoop has a powerful framework to process large distributed data across distributed nodes. Hadoop Data Lake empowers users of different streams like engineers, data scientists, and analysts in an organization. Slicing and dicing of data, complex computations can be expressed and built with Query Language and don’t need the expertise or knowledge of Map-Reduce or Spark jobs. Once the complex logic is expressed as a query and the query is scheduled to run in a regular cadence, the cluster can be auto-scaled based on applications running at a given time rather than running a static big cluster. In a multi-tenant cluster, where autoscaling is performed, resources should be isolated and dedicated to achieve multi-tenancy. Dedicated resources will drive attributing costs to a specific team/tag. Dedicated resources also solve the noisy neighbor problem. This paper details the architecture, algorithm, and framework to allow multi-tenant job clusters to achieve team tenancy and auto-scale the cluster seamlessly.

Published by: Rajkamal Mahamuni Natarajan, Raj Pravinbhai Manvar, Thai Bui

Author: Rajkamal Mahamuni Natarajan

Paper ID: V9I2-1439

Paper Status: published

Published: September 4, 2023

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Technical Notes

Architectural form optimization for sustainable heat reduction: integrating simulation analysis in warm and humid climates, with emphasis on office buildings

This study explores the symbiotic relationship between architectural innovation and urban sustainability, focusing on countering climate challenges and rapid urbanization. The research centers on the strategic utilization of self-shading elliptical forms to mitigate heat gain within built environments. The significance of green building ratings as drivers of sustainable construction practices is highlighted, alongside a comprehensive review of sustainable methodologies, traditional materials, and self-shading strategies. Utilizing advanced simulation techniques, the study analyzes diverse architectural scenarios to evaluate their impact on heat reduction. Significantly, the use of Ecotech software for radiation analysis highlights the considerable potential for reducing heat within the built environment. In conclusion, this research underscores architectural design's transformative capabilities, highlighting self-shading forms' role in enhancing energy efficiency and human comfort within sustainable built environments.

Published by: Saiteja Beesetti , Amrutha B., Allu Revathi Devi

Author: Saiteja Beesetti

Paper ID: V9I2-1445

Paper Status: published

Published: September 1, 2023

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