This document discusses a study on assessing air quality in Delhi, India using the Air Quality Index (AQI). It provides background on air pollution and the importance of measuring AQI. The study calculates daily AQI values over three years for Delhi based on concentrations of pollutants like NO2, SO2, SPM and RSPM. The results show AQI values were regularly unhealthy around 200. SPM and RSPM correlated most strongly with AQI, suggesting they are major contributors to air pollution. Stricter measures are needed to address rising levels of particulate matter and improve air quality.
This document discusses appropriate instruments and techniques for complying with new ambient air quality monitoring standards for sulfur dioxide (SO2). It describes two common methods for measuring SO2 levels: the Improved West and Gaeke method, which uses a solution to absorb SO2 from the air, and ultraviolet fluorescence, which detects SO2 using ultraviolet light absorption. The document also establishes the national air quality standards for SO2 and discusses natural and anthropogenic sources of SO2 as well as methods for reducing SO2 emissions.
air quality assessment and its relation to potential health impactsUTKARSH YADAV
The presentation aims at studying the quality of air in delhi and doing a correlative study between the quality of air and various health impacts that occur . also a study of increase in pattern of patients in hospitals due to various respiratory diseases .
various pollutants of the air are studied for this and also the sources and for sample few regions were selected in delhi , also a sesonal variation is studied due to air pollution.
Further functions like household production function and demand function indicating an impact on household due to pollution .
a data sample was collected and an econometric and graphical analysis is also done
Environmental Impact Assessment in Sri Lanka: State of Knowledge and New Dire...Josh Gellers
In this talk, I provide a brief explanation of environmental impact assessment (EIA), discuss the state of knowledge about the factors that influence EIA quality, provide an overview of the EIA process in Sri Lanka and extant research in this context, and offer some preliminary findings from new research on the efficiency of the EIA process and weaknesses identified in Sri Lankan EIAs.
The document discusses improving air quality in Beijing, China. It begins by introducing the Air Quality Index (AQI) and noting that Beijing has an AQI of 178, meaning its air quality is considered "unhealthy". The document then analyzes Beijing's air quality data over time using control charts. Several solutions are proposed to improve air quality, such as promoting electric vehicles, increasing green spaces, and reducing coal power. These solutions help lower Beijing's AQI to 98, in the moderate range. The document concludes by calculating the improved process capability for Beijing's air quality.
This document discusses air pollution, its causes, and effects. It defines air pollution as occurring when harmful amounts of gases, dust, fumes or odors are present in the air. The six most common pollutants are particulate matter, carbon monoxide, sulfur dioxide, lead, nitrogen dioxide, and ground-level ozone. Major sources of pollution include vehicles, industries, crop burning, and others. Air pollution affects both human and environmental health, causing diseases and issues like acid rain and global climate change. The document examines pollution levels and control measures in Delhi, India.
Measurement of ambient air pollutants, sampling and analysisAbhishek Tiwari
The document summarizes air pollution monitoring training conducted at the Analytical and Environmental Engineering Laboratory in Ranchi, India. Over the course of 5 days, participants learned air sampling techniques and how to use equipment like a respirable dust sampler to measure concentrations of PM10, PM2.5, SO2, and NO2 in ambient air. Samples collected during fieldwork were then analyzed, and concentrations of pollutants were found to be within regulatory limits set by India's Central Pollution Control Board.
This document discusses appropriate instruments and techniques for complying with new ambient air quality monitoring standards for sulfur dioxide (SO2). It describes two common methods for measuring SO2 levels: the Improved West and Gaeke method, which uses a solution to absorb SO2 from the air, and ultraviolet fluorescence, which detects SO2 using ultraviolet light absorption. The document also establishes the national air quality standards for SO2 and discusses natural and anthropogenic sources of SO2 as well as methods for reducing SO2 emissions.
air quality assessment and its relation to potential health impactsUTKARSH YADAV
The presentation aims at studying the quality of air in delhi and doing a correlative study between the quality of air and various health impacts that occur . also a study of increase in pattern of patients in hospitals due to various respiratory diseases .
various pollutants of the air are studied for this and also the sources and for sample few regions were selected in delhi , also a sesonal variation is studied due to air pollution.
Further functions like household production function and demand function indicating an impact on household due to pollution .
a data sample was collected and an econometric and graphical analysis is also done
Environmental Impact Assessment in Sri Lanka: State of Knowledge and New Dire...Josh Gellers
In this talk, I provide a brief explanation of environmental impact assessment (EIA), discuss the state of knowledge about the factors that influence EIA quality, provide an overview of the EIA process in Sri Lanka and extant research in this context, and offer some preliminary findings from new research on the efficiency of the EIA process and weaknesses identified in Sri Lankan EIAs.
The document discusses improving air quality in Beijing, China. It begins by introducing the Air Quality Index (AQI) and noting that Beijing has an AQI of 178, meaning its air quality is considered "unhealthy". The document then analyzes Beijing's air quality data over time using control charts. Several solutions are proposed to improve air quality, such as promoting electric vehicles, increasing green spaces, and reducing coal power. These solutions help lower Beijing's AQI to 98, in the moderate range. The document concludes by calculating the improved process capability for Beijing's air quality.
This document discusses air pollution, its causes, and effects. It defines air pollution as occurring when harmful amounts of gases, dust, fumes or odors are present in the air. The six most common pollutants are particulate matter, carbon monoxide, sulfur dioxide, lead, nitrogen dioxide, and ground-level ozone. Major sources of pollution include vehicles, industries, crop burning, and others. Air pollution affects both human and environmental health, causing diseases and issues like acid rain and global climate change. The document examines pollution levels and control measures in Delhi, India.
Measurement of ambient air pollutants, sampling and analysisAbhishek Tiwari
The document summarizes air pollution monitoring training conducted at the Analytical and Environmental Engineering Laboratory in Ranchi, India. Over the course of 5 days, participants learned air sampling techniques and how to use equipment like a respirable dust sampler to measure concentrations of PM10, PM2.5, SO2, and NO2 in ambient air. Samples collected during fieldwork were then analyzed, and concentrations of pollutants were found to be within regulatory limits set by India's Central Pollution Control Board.
This document summarizes particulate matter (PM) air pollution and associated health risks. PM comes from natural and human-made sources and varies in size. Small PM can travel deep into lungs. PM is regulated as a criteria air pollutant due to links to premature death, heart and lung disease. Factors like weather, topography and inversions affect PM concentrations. Modern epidemiological studies use monitoring and statistical methods to establish relationships between PM exposure and health outcomes. Research priorities aim to better characterize sources, exposures, health impacts and susceptible groups.
This document discusses fundamentals of air quality management. It defines air quality management as activities undertaken by regulatory authorities to ensure safe indoor and outdoor air. The key aspects of air quality management discussed are monitoring ambient air quality and emissions; modeling air pollution; assessing impacts on human health and the environment; developing and implementing legislation, regulations, and control strategies; enforcing compliance; and involving the public. Control strategies aim to limit pollution from sources using methods like emissions trading and end-of-pipe technologies. Successful strategies are adopted into enforceable regulatory programs.
Air pollution, sources and characteristicsECRD2015
This document summarizes sources and characteristics of common air pollutants. It discusses how air pollutants can arise from both natural and human processes. Some key pollutants discussed include particulate matter, sulfur dioxide, nitrogen oxides, carbon monoxide, and lead. Major sources of these pollutants include thermal power plants, automobiles, cement manufacturing, and sulfuric acid production. The health effects of several pollutants are also outlined, such as how particulate matter and sulfur dioxide can impact the respiratory system and lead to conditions like bronchitis.
Nowadays by seeing the present scenario AIR is the essential element to live & Air Quality Index is a tool to distinguish the benefit of air quality. There are different methods to identify AQI, based on many impurities viz. PM2.5, PM10,CO were used to compare ambient air quality. By calculating AQI we define the quality level of air to be good, moderate, and hazardous as AQI is calculated by using the reference of "The United States Environmental Protection Agency" We are using thingspeak server to fetch the data into the cloud, so anyone can access the data in their respective location. We are not only focusing on stationary measurement but also on the real time value measurement of AQI. Which helps common people to access the Air Quality Index throughout the city and help them decide to stay in a cleaner air environment? Thus the foremost idea of AQI is to inform people about their air quality so they can step to defend their health.
Air pollutionAir Quality IndexEmission StandardThe Effects Of Air Pollution...RAMPRASAD KUMAWAT
An air quality index (AQI) is used to communicate to the public how polluted the air currently is and potential health effects. The AQI incorporates measurements of major air pollutants regulated in national standards. Emission standards set limits on amounts of specific air pollutants that can be released from sources to achieve air quality standards and protect human health. Air pollution damages human health by affecting multiple organs and functions, and is a major cause of death worldwide. Reducing emissions from transportation, energy production, waste, and industry can help tackle air pollution and its health impacts.
The document discusses environmental risk assessment and management. It defines key terms like risk, environmental risk assessment, and risk characterization. It outlines the steps in risk assessment as hazard identification, dose-response assessment, exposure assessment, and risk characterization. It also discusses grading of risk from low to high. The steps in risk management are identified as risk assessment, technological feasibility assessment, economic impact analysis, consideration of public concerns and legal requirements, decision making, implementation, monitoring and evaluation, and review. Risk management aims to prevent adverse effects on human health and ecological systems.
AIR POLLUTION CONTROL course material by Prof S S JAHAGIRDAR,NKOCET,SOLAPUR for BE (CIVIL ) students of Solapur university. Content will be also useful for SHIVAJI and PUNE university students
Automated features extraction from satellite images.HimanshuGupta1081
This is the final year civil engineering project presentation in which different features i.e. Buildings, Road Network, Vegetation and Water are extracted automatically from satellite images with the help of Ecognition software. We have done our analysis on satellite images of sikar, rajasthan. In this project object based image analysis (OBIA) approach are used.
Air pollution is introduced into the atmosphere by both natural and human sources. Some key pollutants are sulfur and nitrogen oxides, carbon monoxide, volatile organic compounds, and particulate matter. Indoor and outdoor air pollution causes millions of premature deaths worldwide annually due to increased respiratory and heart disease. Exposure to air pollutants has widespread health impacts depending on the type, degree, and duration of exposure. Reducing air pollution can help decrease mortality and disease.
Nuclear Waste: Introduction to its ManagementAM Publications
Nuclear waste is a waste product containing radioactive decay material. It is usually the product of a
nuclear process such as nuclear fission, though industries not directly connected to the nuclear power industry may
also produce radioactive waste. Radioactivity diminishes over time, so in principle the waste needs to be isolated for a
period of time until it no longer poses a hazard. The main approaches to managing radioactive waste to date have
been segregation and storage for short-lived wastes, near-surface disposal for low and some intermediate level wastes,
and deep burial or transmutation for the long-lived, high-level wastes. The main objective in managing and disposing
of radioactive (or other) waste is to protect people and the environment. This study initially focused on how nuclear
power affects the surrounding environment. Also this paper presents various types of waste generation, storage and
transportation. Finally this paper demonstrates that the treatment options for nuclear waste.
The attached powerpoint presentation contains information about the Meteorology - 2nd unit in Open Elective - Air Pollution and Control Engineering, for affiliated institutions of Anna University.
OCE551 - Air Pollution and Control Engineering
History of Air pollution and episodes, Sources of air pollution and types, Introduction
to meteorology and transport of air pollution: Global winds, Headley cells, wind rose terrestrial wind profile, Effects of terrain and topography on winds, lapse rate, maximum mixing depths, plume rise
1.3c Methodology for Climate Change Risk Assessment Using Text MiningNAP Events
This document summarizes research assessing climate change risks through text mining of newspaper articles. The research aims to evaluate climate change risks objectively and inform climate change adaptation policy. It analyzes over 4,000 newspaper articles on climate impacts to identify 181 climate risks. It calculates the frequency and damage amounts of each risk to assess consequences and probabilities. Major risks include coastal and agricultural land damage from flooding. The analysis compares identified risks to existing adaptation measures and policies.
Environmental toxicology is the study of harmful effects of chemicals, biological and physical agents on living organisms. Rachel Carson is considered the founder of environmental toxicology through her book Silent Spring which documented the effects of uncontrolled pesticide use. Some key sources of environmental toxicity include pollutants, heavy metals, pesticides, and hazardous wastes. Proper management and regulations of hazardous wastes are needed to reduce environmental and health risks.
Methods of eia(environmental impact assessment)Akhil Chibber
The document discusses different methods used for environmental impact assessment (EIA), including simulation models, matrices, expert judgement, GIS mapping, and checklists. It focuses on checklists, explaining that they are structured lists of environmental factors that could be affected. Checklists can identify impacts on resources like soil, water, flora and fauna. They comprise simple lists with no impact information, descriptive lists that provide magnitude/importance of impacts, and scaling checklists that additionally assess impacts subjectively. Checklists provide an initial overview to guide interdisciplinary discussions in the EIA process.
Industrial and agricultural activities over the last 50 years have significantly increased the concentration of toxic pollutants in the environment such as PAHs, PCBs, chlorophenols, nitrophenols, and BTEX. Most of these substances are mutagenic and carcinogenic. Environmental pollution accounts for over 55% of all cancers according to the WHO. Carcinogens may be chemical, physical, or biological agents that can cause cancer. They may act as initiators that alter DNA or promoters that encourage uncontrolled cell growth. Cancer rates are expected to increase significantly in the coming decades due to rising environmental pollution.
A Literature Review on Ambient Air Quality Monitoring Near the Solid Waste Di...IRJET Journal
This document presents a literature review on ambient air quality monitoring near a solid waste disposal site in Harihar Taluk, Davangere District, Karnataka, India. It discusses methodologies used in previous studies to determine concentration levels of air pollutants like particulate matter, sulfur dioxide, and nitrogen dioxide near solid waste sites. It also reviews how previous studies have calculated and predicted air quality index values based on measured pollutant concentrations. The objectives of the literature review are to determine pollutant concentration levels near the Harihar solid waste site and compare them to national standards, and to calculate and predict air quality index values for the site.
Air Pollution Prediction via Differential Evolution Strategies with Random Fo...IRJET Journal
This document discusses using a hybrid machine learning technique combining differential evolution and random forest methods to predict air pollution levels. It analyzes data on various pollutants from two cities in India - Delhi and Patna. The proposed approach is experimentally validated to achieve better performance compared to independent classifiers and multi-label classifiers in terms of accuracy, area under the curve, success index and correlation. Differential evolution is used to initialize population and optimize candidate solutions. Random forest creates an ensemble of decision trees to make predictions. The hybrid method is tested on predicting carbon monoxide, nitrogen dioxide and benzene levels using data from a monitoring station in Delhi.
This document summarizes particulate matter (PM) air pollution and associated health risks. PM comes from natural and human-made sources and varies in size. Small PM can travel deep into lungs. PM is regulated as a criteria air pollutant due to links to premature death, heart and lung disease. Factors like weather, topography and inversions affect PM concentrations. Modern epidemiological studies use monitoring and statistical methods to establish relationships between PM exposure and health outcomes. Research priorities aim to better characterize sources, exposures, health impacts and susceptible groups.
This document discusses fundamentals of air quality management. It defines air quality management as activities undertaken by regulatory authorities to ensure safe indoor and outdoor air. The key aspects of air quality management discussed are monitoring ambient air quality and emissions; modeling air pollution; assessing impacts on human health and the environment; developing and implementing legislation, regulations, and control strategies; enforcing compliance; and involving the public. Control strategies aim to limit pollution from sources using methods like emissions trading and end-of-pipe technologies. Successful strategies are adopted into enforceable regulatory programs.
Air pollution, sources and characteristicsECRD2015
This document summarizes sources and characteristics of common air pollutants. It discusses how air pollutants can arise from both natural and human processes. Some key pollutants discussed include particulate matter, sulfur dioxide, nitrogen oxides, carbon monoxide, and lead. Major sources of these pollutants include thermal power plants, automobiles, cement manufacturing, and sulfuric acid production. The health effects of several pollutants are also outlined, such as how particulate matter and sulfur dioxide can impact the respiratory system and lead to conditions like bronchitis.
Nowadays by seeing the present scenario AIR is the essential element to live & Air Quality Index is a tool to distinguish the benefit of air quality. There are different methods to identify AQI, based on many impurities viz. PM2.5, PM10,CO were used to compare ambient air quality. By calculating AQI we define the quality level of air to be good, moderate, and hazardous as AQI is calculated by using the reference of "The United States Environmental Protection Agency" We are using thingspeak server to fetch the data into the cloud, so anyone can access the data in their respective location. We are not only focusing on stationary measurement but also on the real time value measurement of AQI. Which helps common people to access the Air Quality Index throughout the city and help them decide to stay in a cleaner air environment? Thus the foremost idea of AQI is to inform people about their air quality so they can step to defend their health.
Air pollutionAir Quality IndexEmission StandardThe Effects Of Air Pollution...RAMPRASAD KUMAWAT
An air quality index (AQI) is used to communicate to the public how polluted the air currently is and potential health effects. The AQI incorporates measurements of major air pollutants regulated in national standards. Emission standards set limits on amounts of specific air pollutants that can be released from sources to achieve air quality standards and protect human health. Air pollution damages human health by affecting multiple organs and functions, and is a major cause of death worldwide. Reducing emissions from transportation, energy production, waste, and industry can help tackle air pollution and its health impacts.
The document discusses environmental risk assessment and management. It defines key terms like risk, environmental risk assessment, and risk characterization. It outlines the steps in risk assessment as hazard identification, dose-response assessment, exposure assessment, and risk characterization. It also discusses grading of risk from low to high. The steps in risk management are identified as risk assessment, technological feasibility assessment, economic impact analysis, consideration of public concerns and legal requirements, decision making, implementation, monitoring and evaluation, and review. Risk management aims to prevent adverse effects on human health and ecological systems.
AIR POLLUTION CONTROL course material by Prof S S JAHAGIRDAR,NKOCET,SOLAPUR for BE (CIVIL ) students of Solapur university. Content will be also useful for SHIVAJI and PUNE university students
Automated features extraction from satellite images.HimanshuGupta1081
This is the final year civil engineering project presentation in which different features i.e. Buildings, Road Network, Vegetation and Water are extracted automatically from satellite images with the help of Ecognition software. We have done our analysis on satellite images of sikar, rajasthan. In this project object based image analysis (OBIA) approach are used.
Air pollution is introduced into the atmosphere by both natural and human sources. Some key pollutants are sulfur and nitrogen oxides, carbon monoxide, volatile organic compounds, and particulate matter. Indoor and outdoor air pollution causes millions of premature deaths worldwide annually due to increased respiratory and heart disease. Exposure to air pollutants has widespread health impacts depending on the type, degree, and duration of exposure. Reducing air pollution can help decrease mortality and disease.
Nuclear Waste: Introduction to its ManagementAM Publications
Nuclear waste is a waste product containing radioactive decay material. It is usually the product of a
nuclear process such as nuclear fission, though industries not directly connected to the nuclear power industry may
also produce radioactive waste. Radioactivity diminishes over time, so in principle the waste needs to be isolated for a
period of time until it no longer poses a hazard. The main approaches to managing radioactive waste to date have
been segregation and storage for short-lived wastes, near-surface disposal for low and some intermediate level wastes,
and deep burial or transmutation for the long-lived, high-level wastes. The main objective in managing and disposing
of radioactive (or other) waste is to protect people and the environment. This study initially focused on how nuclear
power affects the surrounding environment. Also this paper presents various types of waste generation, storage and
transportation. Finally this paper demonstrates that the treatment options for nuclear waste.
The attached powerpoint presentation contains information about the Meteorology - 2nd unit in Open Elective - Air Pollution and Control Engineering, for affiliated institutions of Anna University.
OCE551 - Air Pollution and Control Engineering
History of Air pollution and episodes, Sources of air pollution and types, Introduction
to meteorology and transport of air pollution: Global winds, Headley cells, wind rose terrestrial wind profile, Effects of terrain and topography on winds, lapse rate, maximum mixing depths, plume rise
1.3c Methodology for Climate Change Risk Assessment Using Text MiningNAP Events
This document summarizes research assessing climate change risks through text mining of newspaper articles. The research aims to evaluate climate change risks objectively and inform climate change adaptation policy. It analyzes over 4,000 newspaper articles on climate impacts to identify 181 climate risks. It calculates the frequency and damage amounts of each risk to assess consequences and probabilities. Major risks include coastal and agricultural land damage from flooding. The analysis compares identified risks to existing adaptation measures and policies.
Environmental toxicology is the study of harmful effects of chemicals, biological and physical agents on living organisms. Rachel Carson is considered the founder of environmental toxicology through her book Silent Spring which documented the effects of uncontrolled pesticide use. Some key sources of environmental toxicity include pollutants, heavy metals, pesticides, and hazardous wastes. Proper management and regulations of hazardous wastes are needed to reduce environmental and health risks.
Methods of eia(environmental impact assessment)Akhil Chibber
The document discusses different methods used for environmental impact assessment (EIA), including simulation models, matrices, expert judgement, GIS mapping, and checklists. It focuses on checklists, explaining that they are structured lists of environmental factors that could be affected. Checklists can identify impacts on resources like soil, water, flora and fauna. They comprise simple lists with no impact information, descriptive lists that provide magnitude/importance of impacts, and scaling checklists that additionally assess impacts subjectively. Checklists provide an initial overview to guide interdisciplinary discussions in the EIA process.
Industrial and agricultural activities over the last 50 years have significantly increased the concentration of toxic pollutants in the environment such as PAHs, PCBs, chlorophenols, nitrophenols, and BTEX. Most of these substances are mutagenic and carcinogenic. Environmental pollution accounts for over 55% of all cancers according to the WHO. Carcinogens may be chemical, physical, or biological agents that can cause cancer. They may act as initiators that alter DNA or promoters that encourage uncontrolled cell growth. Cancer rates are expected to increase significantly in the coming decades due to rising environmental pollution.
A Literature Review on Ambient Air Quality Monitoring Near the Solid Waste Di...IRJET Journal
This document presents a literature review on ambient air quality monitoring near a solid waste disposal site in Harihar Taluk, Davangere District, Karnataka, India. It discusses methodologies used in previous studies to determine concentration levels of air pollutants like particulate matter, sulfur dioxide, and nitrogen dioxide near solid waste sites. It also reviews how previous studies have calculated and predicted air quality index values based on measured pollutant concentrations. The objectives of the literature review are to determine pollutant concentration levels near the Harihar solid waste site and compare them to national standards, and to calculate and predict air quality index values for the site.
Air Pollution Prediction via Differential Evolution Strategies with Random Fo...IRJET Journal
This document discusses using a hybrid machine learning technique combining differential evolution and random forest methods to predict air pollution levels. It analyzes data on various pollutants from two cities in India - Delhi and Patna. The proposed approach is experimentally validated to achieve better performance compared to independent classifiers and multi-label classifiers in terms of accuracy, area under the curve, success index and correlation. Differential evolution is used to initialize population and optimize candidate solutions. Random forest creates an ensemble of decision trees to make predictions. The hybrid method is tested on predicting carbon monoxide, nitrogen dioxide and benzene levels using data from a monitoring station in Delhi.
This document presents a framework for visualizing air quality data. It involves collecting data on various air pollutants, preprocessing the data, using a machine learning model to predict an Air Quality Index, and visualizing the results. Specifically, it trains a random forest regression model on data from the Central Pollution Control Board to predict the AQI based on parameters like PM2.5, PM10, NO2, etc. It then implements the model to make real-time predictions using an API and stores the results in a database. These predictions are visualized on an interactive web page to show users the current air quality levels. The framework aims to help people monitor local air quality and help government organizations address areas with poor air quality.
Assessment of Variation in Concentration of Air Pollutants Within Monitoring ...IRJET Journal
This document summarizes a study that assessed variation in air pollutant concentration across 12 monitoring stations in Mumbai, India. The study analyzed monthly pollution data from 2020-2021 for 7 pollutants (PM2.5, PM10, NO2, NH3, SO2, CO, ozone) from the Central Pollution Control Board. Statistical analysis using ANOVA and Tukey's HSD post-hoc test identified pairs of stations without significant differences in pollutant concentrations across all 7 pollutants. This analysis could help identify redundant monitoring stations. The study also used logistic regression to predict air quality class based on factors like tree cover, population density, temperature, and more.
An Analytical Survey on Prediction of Air Quality Indexijtsrd
A drastic increase of modernization gives birth to many industries and automobiles, which intern becomes the very common reason for the environmental issues like Air and water pollutions. Air pollution is the immediate affecting factors in our life, which contaminates the air that we breathe to cause serious health hazards. So it is very important to predict the Air quality index for the future coming days so that proper prompt action can be taken by the concern authorities to curb the same. The air quality reading for the different gases can be collect through the physical sensors and these readings can be used to predict the future Air quality index. Machine learning is acting as the catalyst in this prediction scenario to predict the accurate Air quality index for the future instance. Most of the learning systems need a huge amount of the data for the learning purpose and it is not possible to provide this every time. So it is a need to predict the air quality index by using considerable less amount of past instance data, This paper mainly concentrates on analyzing the past work in prediction of air quality index using machine learning and try to evaluate their flaws and to estimate the new possible way of prediction using machine learning. Suraj Kapse | Akshay Kurumkar | Vighnesh Manthapurvar | Prof. Rajesh Tak "An Analytical Survey on Prediction of Air Quality Index" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28072.pdf Paper URL: https://www.ijtsrd.com/engineering/information-technology/28072/an-analytical-survey-on-prediction-of-air-quality-index/suraj-kapse
IRJET- A Comparative Study on Seasonal Variations of Air Quality Index (AQI) ...IRJET Journal
This document presents a comparative study of air quality index (AQI) calculations in Sanathnagar, Hyderabad, India using three different methods. Raw air quality data from 2007-2017 was collected from the local pollution control board station and divided into seasonal data. The AQI was then calculated for each season using the CPCB, PI, and Tiwari & Ali methods. The results showed that AQI was highest in winter, followed by monsoon, pre-monsoon, and lowest in summer. The CPCB method was found to be most applicable for calculating urban air pollution AQI in the study area.
Analysis Of Air Pollutants Affecting The Air Quality Using ARIMAIRJET Journal
This document discusses analyzing air pollutants affecting air quality using the ARIMA time series model. It begins with an abstract describing the decreasing air quality due to factors like traffic and industry. It then discusses predicting and forecasting the Air Quality Index using time series models like ARIMA. The document reviews literature on previous studies analyzing air pollution data using techniques like neural networks and random forests. It describes preprocessing time series air pollution data to address missing values and assess stationarity before deploying the ARIMA model to make predictions.
Prediction of Air Quality Influential Factors with AtmosphericAir Present Pol...IRJET Journal
This document discusses using multiple regression analysis to predict air quality factors based on atmospheric pollutant data from an Italian city. The study uses hourly concentration data for CO, hydrocarbons, benzene, nitrogen oxides, and nitrogen dioxide from 2004-2005. Regression coefficients are estimated to determine how variables correlate with each other. Evaluation metrics like R-squared and adjusted R-squared are calculated, and actual vs predicted values are graphed. The results show the regression model can effectively predict air quality factors based on pollutant concentrations. Future work could involve using deep learning on real-time data.
IRJET- Critically Polluted Area Analysis using Comprehensive Environmental Po...IRJET Journal
This document presents a study analyzing critically polluted areas in Ghaziabad District, Uttar Pradesh, India using a Comprehensive Environmental Pollution Index (CEPI). CEPI is calculated based on Environmental Pollution Indices (EPI) for air, surface water, and groundwater quality at monitoring locations. EPI values are determined by scoring factors related to the pollution source, exposure pathway, health impacts, and adequacy of treatment facilities. Spatial variation of pollutants is analyzed using GIS tools. Results suggest CEPI can help evaluate population exposure to pollutants by considering zone of influence from different emission sources.
Assessment of Ambient Air Quality of Hoshangabad of M.P.ijtsrd
Air quality assessment is frequently driven by the need to determine whether a standard or guideline has been exceeded. This overshadows another objective of air quality assessment providing the information needed to estimate population exposure to air pollution and the effects on the health of the population. In this study analysis of air pollutants such as PM10, PM2.5, SO2, and NO2, were assessed to determine the ambient air quality of Hoshangabad City. The PM10 and PM2.5 were found moderate for residential area i.e. Meenakshi Chowk and higher than the permissible limit for other monitoring stations. Seasonal variation of PM10 and PM2.5 showed that in winter air quality becomes worst due to low temperature and humidity particulate matter condenses in lower atmosphere. Gaseous air pollutants SO2, and NOx were well below the permissible limit in all the sampling station in all three study years. Seasonal values for SO2 and NO2 were also found within the permissible limits at all the stations and in all the seasons. Deepa Rajput | Dr. O. N. Choubey "Assessment of Ambient Air Quality of Hoshangabad of M.P." Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59941.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/environmental-science/59941/assessment-of-ambient-air-quality-of-hoshangabad-of-mp/deepa-rajput
IRJET- Analysis and Prediction of Air QualityIRJET Journal
This document discusses air pollution prediction using machine learning techniques. It begins with an introduction to air pollution, defining it as the introduction of harmful substances into the atmosphere. The six main criteria air pollutants are then described: ozone, particulate matter, carbon monoxide, nitrogen dioxide, sulfur dioxide, and lead. Common machine learning techniques for air pollution prediction are also introduced, including supervised learning algorithms like random forests and support vector machines, and unsupervised learning algorithms like k-means clustering. The document concludes that machine learning provides opportunities for improved air pollution prediction by analyzing historical pollution data.
Studies on Ambient Air Quality Monitoring Near the Solid Waste Disposal Site ...IRJET Journal
This study monitored ambient air quality near a solid waste disposal site in Harihar Taluk, Davangere District, India. Parameters like suspended particulate matter (SPM), sulfur dioxide (SO2), and nitrogen dioxide (NO2) were measured using a high-volume air sampler at locations north, south, east, west, and 500m/1.5km from the site. The air quality index (AQI) was calculated and found to range from 0-50, indicating air quality was within national standards and safe for employees. While SPM levels were close to industrial zone standards, SO2 and NO2 concentrations met national ambient air quality standards guidelines at all locations during the study period.
Air Quality Monitoring System Using Linear Regression and Machine LearningIRJET Journal
1) The document discusses using machine learning techniques to analyze air quality data from India and predict air quality levels.
2) It evaluates different regression techniques and finds that linear regression best predicts air quality in New Delhi with the lowest mean absolute error.
3) Monitoring air pollution is important for public health as exposure can lead to health problems, and machine learning models can be developed and trained on historical data to predict pollution levels and advise the public.
Air Quality Monitoring System Using Linear Regression and Machine Learning.IRJET Journal
1) The document discusses using machine learning techniques to analyze air quality data from India and predict air quality levels.
2) It evaluates different regression methods like linear regression for predicting pollutants and finds that linear regression provides the most accurate results.
3) The goal is to help monitor air quality in New Delhi, identify pollutants, and predict levels to help address health issues from air pollution and improve quality of life.
STUDY ON AMBIENT AIR QUALITY MONITORING FROM GOVT POLYTECHNIC COLLEGE TO GUTT...IRJET Journal
This document summarizes a study on ambient air quality monitoring between Government Polytechnic College and Guttur Road in Harihara City, India. Air quality was monitored over two months at five sites for pollutants SPM, SO2, and NO2. In April and May, air quality was best at A K Colony and Guttur Road with an impact of minimal. Government Polytechnic College and Shivamogga Circle had satisfactory air quality with minor impacts. Harapanahalli Circle had the highest pollution levels and moderate impacts including breathing difficulties. Overall, the study found air quality within permissible limits according to the air quality index.
EDD Project A35 group. final.pdf Department of ENTCMihirDatir1
This document describes an Arduino-based air monitoring system project. It includes an introduction describing the importance of air quality monitoring. It then lists the components of the system, which uses sensors to measure parameters like temperature, humidity, and carbon dioxide levels. The methodology section explains how the Arduino board will read analog voltage values from the sensors and use those to monitor air quality levels. It will control a filter fan if thresholds are exceeded. The system aims to continuously track air quality and display results to increase pollution awareness. It provides a low-cost solution to monitor indoor and outdoor air quality.
The document presents information on emerging technologies for air quality monitoring. It discusses various air pollutants like particulate matter, carbon monoxide, nitrogen oxides, and sulfur dioxides. It also describes different air sampling processes and the application of air quality index (AQI) to report daily air quality levels. The document outlines the objectives to analyze air quality data from pollution control boards and use sensors to provide cautionary values to alert people and improve air quality. It discusses literature review on indoor air quality and wireless sensor networks for air monitoring.
Quantification of rate of air pollution by means ofIJARBEST JOURNAL
To develop efficient strategies for pollution control, it is essential to assess
both the costs of control and the benefits that may result. These benefits will often include
improvements in public health, including reductions in both morbidity and premature
mortality. Until recently, there has been little guidance about how to calculate the benefits
of air pollution controls and how to use those estimates to assign priorities to different air
pollution control strategies. In this work, a method is described for quantifying the benefits
of reduced ambient concentrations of pollutants (such as ozone and particulate matter)
typically found in urban areas worldwide. The method applies the data on Jakara, Indonesia,
an area characterized by little wind, high population density (8 million people), congested
roads, and ambient air pollution. The magnitude of the benefits of pollution control depends
on the level of air pollution, the expected effects on health of the pollutants (dose-response),
the size of the population affected, and the economic value of these effects. In the case of
Jakarta, the methodology suggests that reducing exposure to lead and nitrogen dioxide
should also be a high priority. An important consequence of ambient lead pollution is a
reduction in learning abilities for children, measured as I.Q. loss. Apart from that, reducing
the proportion of respirable particles can reduce the amount of illness and premature
mortality.
This document discusses air pollution indices and how they are used. Air pollution indices transform weighted air pollution parameter values like SPM, SO2, CO, NO2, O3, and hydrocarbons into a single number to simply and clearly indicate the air quality level. They inform the public about daily pollution changes, help compare cities, and evaluate enforcement policies. Common calculation methods include relating parameters to standards, averaging ratios to standards, and assigning sub-index values within parameter ranges. Air pollution indices provide a useful way to track air quality changes and facilitate comparisons.
Seasonal Air Pollution Variation in Delhi (2019): A Case Study using by the G...IRJET Journal
This document summarizes a study on seasonal air pollution variation in Delhi, India in 2019. The study analyzed data from 39 air quality monitoring stations in Delhi to examine concentrations of PM10, PM2.5, NO2, SO2, O3, and CO. Pollution levels were generally higher in winter compared to monsoon season due to factors like agricultural stubble burning, vehicle emissions, and weather phenomena like fog and mist. Using an air quality index, the study found pollution levels in winter ranged from satisfactory to severe, while monsoon levels ranged from good to satisfactory. Pollution levels tended to be higher on weekday working days compared to weekends.
Similar to IRJET - Air Quality Index – A Study to Assess the Air Quality (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia