This document describes an Arduino-based air monitoring and filtration system. The system has two parts: 1) A monitoring system that uses sensors to detect dust particles and air quality and displays the results on an LCD screen. 2) A filtration system that uses a pre-filter, carbon filter, HEPA filter, and UV light to remove pollutants from the air, like those produced when burning incense sticks. The system was tested by burning incense sticks near the sensors and monitoring changes in the readings before and after filtration to evaluate its effectiveness in improving indoor air quality.
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This document discusses the advancement of air purifiers. It begins by outlining the problem of increasing air pollution in many cities due to factors like population growth and industrialization. The objective is to purify indoor air economically for public health. The designed air purifier uses multiple filter types in sequence, including a pre-filter, cold catalyst, carbon filter, antibacterial filter, HEPA filter, and UV light, to remove particulate matter, odors, and toxic gases. Experimental results found the designed purifier achieved over 90% removal efficiency for various air pollutants tested. The document concludes the purifier could be made affordable at large production volumes.
1. The document describes an air duct cleaning robot created by students to clean the dust and debris from air ducts in a non-destructive way.
2. The robot is wirelessly controlled by a joystick and uses sensors like ultrasonic, humidity, gas, and thermal sensors. It is equipped with cameras to view inside the ducts.
3. The robot enters the ducts and a cleaning probe attached removes dust and contaminants to increase air conditioning efficiency while detecting any flaws in the ducts.
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1. The document describes a device called AIRCOP that was developed for remote monitoring of air pollution factors using Internet of Things technology.
2. AIRCOP monitors carbon monoxide, air quality, particulate matter, temperature, humidity, atmospheric pressure, and wind speed using low-cost sensors.
3. The sensor data is sent to a cloud-based IoT platform called Thingspeak where it is stored and visualized, allowing continuous monitoring of environmental conditions.
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This document describes an IoT-based system to monitor air and noise pollution levels in real-time and alert asthma and angina patients when thresholds are exceeded. The system uses sensors to measure pollution levels, a NodeMCU microcontroller to process the data, and a Blynk app to display results to users. When pollution levels surpass safety limits based on measurements from the MQ-7, MQ-135 gas sensors and KY-037 sound sensor, alerts are sent. The system is low-cost, portable and helps authorities and the public make informed decisions to control pollution.
IRJET- Air Pollution Monitoring System using IoTIRJET Journal
This document describes an IoT-based air pollution monitoring system that uses sensors to detect pollutants like CO2, temperature, and humidity in the air. The system collects air quality data using sensors connected to an Arduino board, and transmits the data via WiFi to a cloud database. When pollutant levels exceed a threshold, a buzzer is activated. The system provides real-time air quality information and alerts to improve pollution monitoring and public health.
IRJET- Air Pollution Monitporing System with IoTIRJET Journal
This document describes an IoT-based air pollution monitoring system that uses various air quality sensors. The system monitors air quality over a webpage in real-time and triggers an alarm if pollution levels exceed certain thresholds. It uses sensors to detect gases like CO2, CO, methane, and dust particles. The sensor data is sent over WiFi to a webpage where it is displayed numerically and graphically. This allows remote monitoring of air quality from anywhere with internet access. The system is intended to help authorities monitor pollution levels and act if they become unsafe.
Portable Air Purifier Monitoring And Controlling SystemIRJET Journal
This paper presents a portable air purifier system that monitors and purifies indoor air quality. The system uses sensors to detect air quality and temperature, and displays readings on an LCD screen. When air quality declines, the system activates a fan covered with filters to purify the air. The fan can be turned on and off remotely using a Bluetooth-enabled mobile phone. The system is powered by a battery and housed in an acrylic enclosure, making it portable. The goal is to provide real-time air quality monitoring and purification for small indoor spaces.
This document discusses the advancement of air purifiers. It begins by outlining the problem of increasing air pollution in many cities due to factors like population growth and industrialization. The objective is to purify indoor air economically for public health. The designed air purifier uses multiple filter types in sequence, including a pre-filter, cold catalyst, carbon filter, antibacterial filter, HEPA filter, and UV light, to remove particulate matter, odors, and toxic gases. Experimental results found the designed purifier achieved over 90% removal efficiency for various air pollutants tested. The document concludes the purifier could be made affordable at large production volumes.
1. The document describes an air duct cleaning robot created by students to clean the dust and debris from air ducts in a non-destructive way.
2. The robot is wirelessly controlled by a joystick and uses sensors like ultrasonic, humidity, gas, and thermal sensors. It is equipped with cameras to view inside the ducts.
3. The robot enters the ducts and a cleaning probe attached removes dust and contaminants to increase air conditioning efficiency while detecting any flaws in the ducts.
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This document discusses the design of an eco-friendly system to monitor vehicle emissions. The system would use sensors to measure levels of harmful gases in a vehicle's exhaust, like carbon monoxide, nitrogen oxides, hydrocarbons and oxygen. It would display the emission levels to the driver using an OLED display to increase awareness of engine health and emissions. For high emission levels, the system could cut off the vehicle's ignition using a controller. The document reviews different sensor technologies that could be used to monitor the key gases and aims to help reduce environmental pollution from vehicle emissions.
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1. The document describes a device called AIRCOP that was developed for remote monitoring of air pollution factors using Internet of Things technology.
2. AIRCOP monitors carbon monoxide, air quality, particulate matter, temperature, humidity, atmospheric pressure, and wind speed using low-cost sensors.
3. The sensor data is sent to a cloud-based IoT platform called Thingspeak where it is stored and visualized, allowing continuous monitoring of environmental conditions.
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This document describes an IoT-based system to monitor air and noise pollution levels in real-time and alert asthma and angina patients when thresholds are exceeded. The system uses sensors to measure pollution levels, a NodeMCU microcontroller to process the data, and a Blynk app to display results to users. When pollution levels surpass safety limits based on measurements from the MQ-7, MQ-135 gas sensors and KY-037 sound sensor, alerts are sent. The system is low-cost, portable and helps authorities and the public make informed decisions to control pollution.
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This document describes an IoT-based air pollution monitoring system that uses sensors to detect pollutants like CO2, temperature, and humidity in the air. The system collects air quality data using sensors connected to an Arduino board, and transmits the data via WiFi to a cloud database. When pollutant levels exceed a threshold, a buzzer is activated. The system provides real-time air quality information and alerts to improve pollution monitoring and public health.
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This document describes a pollution monitoring system that uses sensors and RF communication to monitor various air and noise pollution factors in real-time. The system consists of sensors to detect gases like carbon monoxide, nitrogen dioxide, sulfur dioxide, as well as dust, humidity, temperature and noise levels. The sensor data is transmitted using RF modules to a monitoring device like a computer. The monitoring system is intended to detect pollution levels and send alerts when thresholds are exceeded to protect human health.
AIR AND SOUND POLLUTION MONITORING SYSTEM USING IOTIRJET Journal
This document describes an air and sound pollution monitoring system using IoT. The system uses various sensors to monitor air quality, sound levels, temperature, humidity and carbon dioxide levels in an area. It collects data from the sensors and transmits it to a central server via an Arduino microcontroller and WiFi module. The system then analyzes the data and can automatically operate devices like an air purifier or close windows using a servo motor to reduce pollution levels based on the sensor readings in real-time. The data is also displayed on an app to provide live pollution monitoring and alerts to users and policymakers.
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This document describes an IoT-based air pollution monitoring system using Arduino. The system monitors air quality using sensors to detect harmful gases like carbon dioxide, smoke, and NOx. It displays the air quality in parts per million on an LCD screen and webpage. When air quality is poor or hazardous, it triggers an alarm. The system aims to easily monitor air pollution and provide alerts to encourage reducing pollution levels. It uses MQ135 and MQ6 sensors to accurately measure pollutants and temperature and humidity sensors.
IRJET- AI to Analyze and Extract Data to Gain Insights About the Spread o...IRJET Journal
This document describes a system that uses sensors and machine learning to analyze air quality and predict pollution levels. The system collects data from sensors that measure gases like carbon monoxide and nitrogen dioxide. This data is processed using machine learning algorithms to analyze current pollution levels and predict future levels over the next 24 hours. The system aims to provide reliable air quality information to help governments and organizations address pollution issues. It offers a low-cost and mobile alternative to existing stationary sensor systems.
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This document describes an IoT-based low-cost air pollution monitoring system. The system uses sensors to measure levels of pollutants like CO, CO2, and NO2. An ARM7 processor collects data from the sensors via a WiFi module. The data is displayed on an LCD screen and uploaded to a web server. This allows air quality to be monitored remotely using a phone or computer. The system is designed to be low-cost compared to traditional methods, making widespread monitoring more feasible. It aims to address the growing problem of air pollution and provide a way to easily track pollution levels over an area.
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This document proposes an IOT-based system to monitor air and noise pollution levels in a particular region using sensors connected to a Raspberry Pi microcontroller. The sensors detect parameters like gas, humidity, and sound levels, and send the data via GSM module to the cloud for remote monitoring and analysis. The system also includes an alerting mechanism to notify users if pollution levels exceed certain thresholds.
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.
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This document describes an IOT-based air pollution monitoring system using Arduino. The system uses sensors to monitor the levels of pollutants like CO2, smoke, LPG, and other gases. It displays the air quality levels in parts per million (PPM) on an LCD screen and web page. When pollution levels exceed certain thresholds, it triggers an alarm. The system aims to allow monitoring of air pollution from anywhere using the internet. It uses an Arduino microcontroller, WiFi module, gas sensors, LCD display, and buzzer. The sensors detect pollution and send data to Arduino, which transmits it over WiFi. This allows authorities to monitor levels in different areas and take appropriate action when
Smart Air Purifier with Air Quality Monitoring SystemIRJET Journal
The document summarizes a research paper on the development of a smart air purifier with air quality monitoring. Key points:
1) Researchers developed an air purifier equipped with sensors to monitor air quality indicators like temperature, humidity, and air quality index. It displays readings on an LCD screen.
2) The purifier uses HEPA and activated carbon filters to remove particles and odors from the air. It also includes a UV-C lamp to kill viruses.
3) An Arduino microcontroller is used to process sensor data and control the purifier. Calculations were done to select an appropriate fan capacity for the purifier based on room size.
4) Testing showed the purifier was
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The document describes the design and development of a filterless air purifier and humidifier. It uses a water-based filtration system instead of filters to purify air by passing it through a water tank. Experiments showed that at higher speeds, it increased humidity levels while maintaining temperature. Testing with incense and camphor showed it reduced particulate matter in the air by 85-86% within an hour. The purifier provides purified, humidified air without expensive filters, making it suitable for residential use.
IRJET- IoT Air Pollution Monitoring System using ArduinoIRJET Journal
This document describes an IoT air pollution monitoring system using an Arduino microcontroller. The system uses sensors to measure air quality parameters like carbon dioxide, noise levels, and other pollutants. The sensor data is transmitted to the Arduino microcontroller for processing. The Arduino then transmits the sensor data over the internet using an ESP8266 WiFi module. This allows authorities to remotely monitor air pollution levels in different areas. The system is intended to help authorities control air pollution and promote healthier living conditions.
IRJET - IoT based Air Quality Monitoring SystemIRJET Journal
This document describes an IoT-based air quality monitoring system that uses sensors to detect various air pollutants and transmits the data to the cloud platform Thingspeak. The system uses gas sensors connected to an Arduino board to measure pollutants like carbon monoxide, nitrogen dioxide, ammonia, and nitric oxide. The sensor data is sent over WiFi to Thingspeak using an ESP01 module where it can be visualized in graphs. The system provides low-cost, real-time air quality monitoring and alerts authorities when pollution levels exceed safe limits.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Intelligent pollution monitoring using wireless sensor networks eSAT Journals
This document describes an intelligent pollution monitoring system using wireless sensor networks. The system monitors air pollution using gas sensors, water pollution using pH meters, and detects human movement using PIR sensors. When pollution levels exceed standards, it sends SMS alerts to the industry owner and pollution control board. The system aims to control pollution and protect the environment and human health. It provides continuous, real-time pollution monitoring to ensure standards are met.
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This document describes a waste management system that uses IoT technologies like ultrasonic sensors, infrared sensors, moisture sensors, and a Raspberry Pi to monitor waste levels in bins and separate wet and dry waste. Sensors detect waste levels and types, a motor separates waste types, and ThingSpeak is used to view bin levels graphically. When bins are full, an alert email is sent. The system aims to improve waste collection and reduce unhygienic conditions. It detects waste levels in real-time and separates waste to facilitate recycling. ThingSpeak outputs show bin levels and notifications help ensure timely waste collection.
IRJET- Real Time Monitoring of Air PollutionIRJET Journal
This document describes a system for real-time monitoring of air pollution using Internet of Things (IoT) technology. Sensors are used to collect data on air pollutant levels, which is then sent to the cloud via an Arduino microcontroller and WiFi module. This allows the pollution data to be accessible from anywhere via the internet. The goal is to provide information to help reduce air pollution and promote worker health and safety in industries.
Air Pollution Prediction using Machine LearningIRJET Journal
This document discusses using machine learning algorithms to predict air pollution levels. Sensors are used to collect data on air quality, smoke and dust levels. This data is fed into a KNN machine learning model for training and testing. The KNN model achieved 99.1% accuracy in predicting air quality levels based on the Air Quality Index. Machine learning is effective for analyzing large environmental datasets and making accurate pollution predictions to help monitor air quality and reduce health issues from air pollution.
IRJET- PureLiv: Smart Indoor Air Quality Monitoring and Purifying SystemIRJET Journal
This document describes a smart indoor air quality monitoring and purification system called PureLiv. The system uses sensors to measure the air quality index and detect harmful gases like carbon monoxide, smoke, and LPG. An LCD screen displays the air quality measurements. When air quality reaches a threshold level, the system automatically activates an attached air purifier to clean the air. Users can also access the system and control the purifier remotely using a smartphone app, as sensor data is uploaded to the cloud. Test results showed the system successfully monitored indoor air quality levels in real-time and controlled the purifier accordingly to maintain good air quality.
IRJET- Air Quality Monitoring System using Vehicles Based on the IoTIRJET Journal
1) The document describes an air quality monitoring system using a vehicle monitoring system (VMS) based on IoT technology.
2) The VMS contains sensors to measure air pollutants like PM2.5, NO2, CO, and O3, as well as GPS, temperature, and humidity. It transmits the sensor data to a cloud server via LoRa wireless technology.
3) Users and government agencies can access the aggregated data on air quality, location, and weather from the cloud to monitor pollution levels and make decisions on traffic planning and pollution reduction actions.
IRJET- Air Quality Monitoring System using Vehicles Based on the IoTIRJET Journal
1) The document describes an air quality monitoring system using a vehicle monitoring system (VMS) based on IoT technology.
2) The VMS contains sensors to measure air pollutants like PM2.5, NO2, CO, and O3, as well as GPS, temperature, and humidity. It transmits the sensor data to a cloud server via LoRa wireless technology.
3) Users and government agencies can access the aggregated data on air quality, location, and weather from the cloud to monitor pollution levels and make decisions on traffic planning and pollution reduction actions.
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
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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.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
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.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.