Observation on CFD Analysis of ZnO and TiO2 Nanofluid with Oil and Ethylene Glycol in Square and Helical Coil Heat Exchanger
The study of this investigation is the comparison of CFD Analysis of ZnO & TiO2 Nano-Fluid with Oil and Ethylene Glycol as a base fluid in Tapered Helical Coil Heat Exchanger with the help of CFD on the copper tube. The Zinc Oxide(ZnO) & Titanium Oxide (TiO2), are used as Nanofluid and water and ethylene glycol is a base fluid. Tapered Helical coil was fabricated by bending 500 mm length of a copper tube having 10mm tube diameter, 50mm pitch coil diameter, 20mm pitch and Square shaped coil was fabricated by bending 500 mm length of a copper tube having 10mm square side, 50mm pitch coil dia, 20 mm pitch. The comparison of pressure drop and temperature variation between ZnO & TiO2 nanofluid with oil as its base and ZnO & TiO2 nanofluid with ethylene glycol as its base is found in this analysis. The result indicates that the ZnO nanofluid with oil as a base fluid has maximum pressure drop and also has maximum temperature variation compared with other nanofluid and base fluid as a base fluid. A computational fluid dynamics (CFD) methodology using ANSYS FLUENT 15 is used here to investigate pressure drop of Zinc Oxide (ZnO) & Titanium Oxide (TiO2) nanofluid with ethylene glycol and water as its base fluid on the heat transfer characteristics in a tapered helically coil-tube.
Published by: Rakesh Kumar, Vijaykant Pandey
Author: Rakesh Kumar
Paper ID: V8I1-1174
Paper Status: published
Published: January 10, 2022
Intelligent traffic light control system
Traffic congestion is a serious problem in many cities around the world so it is time to switch to more manual mode or timer-timer mode to a more automated decision-making system. The current traffic signals system is based on a fixed time which may cause malfunction if one route works better than the other. To address this issue we have developed a smart traffic management system framework. Sometimes high traffic congestion on one side of the junction requires a longer green time compared to the allotted time. Therefore, we suggest here the way in which the time of green light and red light is allocated on the basis of existing traffic congestion. at that time. This is achieved by using an ultrasonic sensor. When the density is calculated, the bright time of the green light is allocated with the help of a microcontroller (Arduino). Sensors located on the side of the road will detect the presence of vehicles and send information to the microcontroller where it will determine how long the flank will be open or when to switch on signal lights. In the following sections, we have described in detail the process of this framework.
Published by: Simanchal Pattanayak, Rajat Kumar Prasad, Rupam Saha, Manish Kumar Pandit, Sudipta Das
Author: Simanchal Pattanayak
Paper ID: V8I1-1167
Paper Status: published
Published: January 8, 2022
Potential analysis of new energy with emphasis on sustainable
Given that fossil energy sources are scarce and their excessive use makes the environment vulnerable, their use as a fuel is unreasonable. In recent years, urban planners have been designing low-energy cities such as Masdar in the UAE. In a city like Tehran that is plagued by a variety of environmental problems, optimizing energy consumption in urban areas is a necessity. The purpose of this study was to evaluate the potential of renewable energy type In District 4 of Tehran and its applicability in different sectors to achieve sustainability. The research method is applied-developmental. The information is based on the documentation and field method. According to experts, the main variables of the research are considered three dimensions of solar, wind, and geothermal energy. The data were collected by a questionnaire from a sample of 76 statistical experts. In the areas of functionality and productivity of each type of energy, the statistical analysis of PLS and in order to investigate the potential evaluation of feasible zones, in three main dimensions with 21 zones, T-test statistical model was used. Since Tehran's District 4 is large and has a variety of uses, Considering the results of the research, it is appropriate to start equipping specific land use(military, forestry, parks, industrial areas, etc.) to develop renewable energies as a first step. At the same time, the municipality, as the most important developer of this type of energy, along with the Renewable Energy Organization, should develop this part of the energy in public spaces such as passageways and so on.
Published by: Mohammadreza Arasteh Taleshmekaiil
Author: Mohammadreza Arasteh Taleshmekaiil
Paper ID: V8I1-1154
Paper Status: published
Published: January 8, 2022
Jaundice prediction using Machine Learning approach
Jaundice occurs when the rise in the level of bilirubin causes the skin, mucus membrane, and white part of the eyes to appear yellowish. bilirubin is a reddish-yellow substance produced when red blood cells break down.it is excreted through the liver. the bilirubin level will rise up when an abnormally high level of red blood cells breaks down. Any person with liver disease develops jaundice (i.e) when the liver does metabolize bilirubin the way it’s supposed to do, jaundice is developed. Depending on the underlying cause of jaundice, treatment will be provided. If it is caused by viral hepatitis, it will recover on its own. If the cause is because of other infections, diagnosing will be the appropriate treatment. The objective of this work is to develop the most efficient model for any medical lab to predict jaundice. Any data containing relevant factors to jaundice can be used in this model. The standard dataset is collected containing the components age, gender, total bilirubin, direct bilirubin, total protein level, albumin, sgpt, sgot and etc. Principal component analysis and factor analysis are performed to identify the useful and important factors which help to determine jaundice. Supervised learning models such as random forest, decision tree, support vector machines, naive Bayes classifier, and other models are used to train the dataset to predict jaundice with better accuracy.
Published by: Sussma S., Srivignesh S., Kishore V. S., Dr. M. Marimuthu
Author: Sussma S.
Paper ID: V7I6-1394
Paper Status: published
Published: January 6, 2022
Understanding the impact of Biodiversity on human beings due to climatic changes.
Our survival is largely dependent on the diversity of flora and fauna, any loss is no longer merely an environmental concern it is also a financial one. Biodiversity loss affects not only our health but also the climate. Species and ecosystems are vanishing at an alarming rate. Biodiversity continues to dwindle at an alarming rate, putting the planet's ability to provide goods and services in jeopardy. The present extinction rate is predicted to be 1000 times faster than the natural extinction rate. However, we may be approaching a new period marked by the sixth global mass extinction of species that will be the first to be created by humans. if present loss rates continue, by 2050, an area of 1.3 billion hectares- almost 1.5 times the size of the United States - would have lost all of its natural biodiversity. Climate change is exacerbating this unparalleled loss of biodiversity. Climate change may cause the extinction of more than 30% of all known species by the end of the century. The effect and repercussions of our planet's unparalleled loss of ability to continue delivering goods and services that we humans take for granted are unclear to the general public and policymakers. We must all take responsibility for our actions. We must confront the difficulties posed by the biodiversity loss catastrophe as a group. Fresh initiatives and a new perspective are required. Every country and every person of the world must band together to defend life on the planet. 2010 has been designated as the International Year of Biodiversity by the United Nations. The year 2010 is a celebration of life on Earth and the importance of biodiversity in our lives, with the goal of involving people from all over the globe in the struggle to safeguard life on Earth and allowing us to take the necessary actions to stop the erosion of our natural foundations.
Published by: Dr. Sandeep Shukla
Author: Dr. Sandeep Shukla
Paper ID: V8I1-1166
Paper Status: published
Published: January 6, 2022
The present and future trends of cybercrimes
There have been many challenges today amongst the organizations and the governments to achieve a more secure digital environment. The recent pandemic has paved the way to cyber criminals to a unique opportunity to penetrate human defenses. The present-day cyberattacks become highly sophisticated and much more dangerous. Data leakage continues to be a significant threat by working remotely, the cost of defending the breaches has risen to a new high. The present-day cyber-attacks show not just data theft, they are acting in a catastrophic manner by intruding into the essential infrastructures like hospitals, gas pipelines, electricity, and water supply leading to serious physical harm. Tessian cybercrime statistics says, “Google has registered 2,145,013 phishing sites as of January 17, 2021. This is up from 1,690,000 on January 19, 2020. (27% increase in a year). Ransomware is prevalent in 2021. Data exfiltration is now a big part of the game with what is called double extortion ransomware. Trend Micro alone detected 34% more new ransomware families in 2021than last year”. Apart from the present-day cybercrimes, newer forms of cyber threats are evolving every day. Cyber threat statistics show that there are many emerging threats like Ransomware attacks using data exfiltration, Cryptojacking, Mobile spyware, IoT-focused cybercrimes, 5 G-based intrusion, Stalkerware, irreparable malware attacks, and State-sponsored Cyberactivism. As technology is growing at a rapid pace, present-day cyber criminals make use of every technological development for their criminal activities. The purpose of this article is to understand the modalities of present forms of cybercrimes and the evolution of new cybercrime trends of the near future.
Published by: Ravichandran Ramasamy
Author: Ravichandran Ramasamy
Paper ID: V8I1-1151
Paper Status: published
Published: January 6, 2022
