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A Novel Method For Evaluation of Automation Dry Fog Disinfecting UnitIRJET Journal
This document presents a novel method for evaluating an automated dry fog disinfecting unit. The COVID-19 pandemic has increased interest in automation robots to conduct work in contaminated areas safely. The paper describes the design and development of a new affordable autonomous indoor sterilization robot that uses a wheeled mobile platform and hydrogen peroxide fogging device. A simulation analysis of the dry mist hydrogen peroxide sterilization model was conducted to study dispersal in an indoor environment. The efficacy of the created robot was tested in practical situations like hospitals, hotels, offices and laboratories, with positive results confirmed by an independent testing organization. The robot is aimed at autonomous indoor sanitization tasks to reduce human exposure to pathogens.
AUTOMATIC ATTENDANCE SYSTEM MANAGEMENT USING RASPBERRY PI WITH ULTRASONIC SENSORIRJET Journal
This document describes an automatic attendance system using a Raspberry Pi processor with an ultrasonic sensor and face recognition. The system uses a Raspberry Pi 3B+, ultrasonic sensor, camera, and the Haar Cascade algorithm for face detection and recognition. Students' faces are detected and identified in real-time and their attendance marked electronically. The ultrasonic sensor also helps maintain social distancing during the COVID-19 pandemic by measuring distance between individuals. The system aims to simplify attendance marking and reduce time spent compared to traditional manual systems.
1. The document describes an IoT-based system using Raspberry Pi and Arduino to monitor body temperature in a contactless way and send email alerts if the temperature exceeds a threshold.
2. An IR temperature sensor is used to measure body temperature without contact, and an image of the person is captured using a Pi camera.
3. If the temperature is above 103°F, the person's image and temperature reading will be emailed to authorized departments and displayed on an LCD screen. This helps monitor for COVID-19 symptoms.
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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.
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This document describes a proposed medical analysis system using virtual reality. The system would involve sensors attached to patients in a hospital to monitor vital signs like temperature, heart rate, and respiration. The sensor data would be sent wirelessly to augmented reality glasses worn by doctors. If a patient's vital signs exceed a threshold, the doctor would be alerted. The system is intended to allow real-time remote patient monitoring using virtual reality technologies. It could involve hardware components like sensors, a microcontroller, and wireless transmitter, as well as software like an IDE and embedded C programming.
1) The document describes an Android app called 6'Apart that uses object detection and machine learning to analyze videos taken in crowded areas and determine if people are maintaining proper social distancing of 6 feet or more.
2) The app uses a pre-trained YOLOv3 model to detect objects and people in videos recorded by users. It then calculates the centroids of detected people and checks the distance between centroids to analyze social distancing compliance.
3) The goal is to help police and individuals determine whether an area is following social distancing guidelines as lockdowns are lifted during the COVID-19 pandemic.
1) The document describes an Android app called 6'Apart that uses object detection and machine learning to analyze videos taken in crowded areas and determine if people are maintaining proper social distancing of 6 feet or more.
2) The app uses a pre-trained YOLOv3 model to detect objects and people in videos recorded by users. It then calculates the centroids of detected people and checks the distance between centroids to analyze social distancing compliance.
3) The goal is to help police and individuals determine whether an area is following social distancing guidelines as lockdowns are lifted during the COVID-19 pandemic.
This document summarizes research on firefighting robots. It discusses how robots can be used to detect and extinguish fires in dangerous situations where human firefighters may be at risk. The document reviews several studies on firefighting robots that use sensors to detect flames and temperatures, can be controlled remotely, and have tanks to pump water or other fire extinguishing agents. The goal of this research is to develop autonomous robots that can navigate to the location of a fire, monitor the situation, and help reduce risks to human firefighters by allowing fires to be extinguished from a safe distance using robotic technologies.
A Novel Method For Evaluation of Automation Dry Fog Disinfecting UnitIRJET Journal
This document presents a novel method for evaluating an automated dry fog disinfecting unit. The COVID-19 pandemic has increased interest in automation robots to conduct work in contaminated areas safely. The paper describes the design and development of a new affordable autonomous indoor sterilization robot that uses a wheeled mobile platform and hydrogen peroxide fogging device. A simulation analysis of the dry mist hydrogen peroxide sterilization model was conducted to study dispersal in an indoor environment. The efficacy of the created robot was tested in practical situations like hospitals, hotels, offices and laboratories, with positive results confirmed by an independent testing organization. The robot is aimed at autonomous indoor sanitization tasks to reduce human exposure to pathogens.
AUTOMATIC ATTENDANCE SYSTEM MANAGEMENT USING RASPBERRY PI WITH ULTRASONIC SENSORIRJET Journal
This document describes an automatic attendance system using a Raspberry Pi processor with an ultrasonic sensor and face recognition. The system uses a Raspberry Pi 3B+, ultrasonic sensor, camera, and the Haar Cascade algorithm for face detection and recognition. Students' faces are detected and identified in real-time and their attendance marked electronically. The ultrasonic sensor also helps maintain social distancing during the COVID-19 pandemic by measuring distance between individuals. The system aims to simplify attendance marking and reduce time spent compared to traditional manual systems.
1. The document describes an IoT-based system using Raspberry Pi and Arduino to monitor body temperature in a contactless way and send email alerts if the temperature exceeds a threshold.
2. An IR temperature sensor is used to measure body temperature without contact, and an image of the person is captured using a Pi camera.
3. If the temperature is above 103°F, the person's image and temperature reading will be emailed to authorized departments and displayed on an LCD screen. This helps monitor for COVID-19 symptoms.
IRJET- Waste Management System with ThingspeakIRJET Journal
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 - Medical Analysis using Virtual RealityIRJET Journal
This document describes a proposed medical analysis system using virtual reality. The system would involve sensors attached to patients in a hospital to monitor vital signs like temperature, heart rate, and respiration. The sensor data would be sent wirelessly to augmented reality glasses worn by doctors. If a patient's vital signs exceed a threshold, the doctor would be alerted. The system is intended to allow real-time remote patient monitoring using virtual reality technologies. It could involve hardware components like sensors, a microcontroller, and wireless transmitter, as well as software like an IDE and embedded C programming.
1) The document describes an Android app called 6'Apart that uses object detection and machine learning to analyze videos taken in crowded areas and determine if people are maintaining proper social distancing of 6 feet or more.
2) The app uses a pre-trained YOLOv3 model to detect objects and people in videos recorded by users. It then calculates the centroids of detected people and checks the distance between centroids to analyze social distancing compliance.
3) The goal is to help police and individuals determine whether an area is following social distancing guidelines as lockdowns are lifted during the COVID-19 pandemic.
1) The document describes an Android app called 6'Apart that uses object detection and machine learning to analyze videos taken in crowded areas and determine if people are maintaining proper social distancing of 6 feet or more.
2) The app uses a pre-trained YOLOv3 model to detect objects and people in videos recorded by users. It then calculates the centroids of detected people and checks the distance between centroids to analyze social distancing compliance.
3) The goal is to help police and individuals determine whether an area is following social distancing guidelines as lockdowns are lifted during the COVID-19 pandemic.
This document summarizes research on firefighting robots. It discusses how robots can be used to detect and extinguish fires in dangerous situations where human firefighters may be at risk. The document reviews several studies on firefighting robots that use sensors to detect flames and temperatures, can be controlled remotely, and have tanks to pump water or other fire extinguishing agents. The goal of this research is to develop autonomous robots that can navigate to the location of a fire, monitor the situation, and help reduce risks to human firefighters by allowing fires to be extinguished from a safe distance using robotic technologies.
IRJET- Review: IoT based Smart WashroomIRJET Journal
This document summarizes a research paper on an IoT-based smart washroom system. The system uses various sensors like an IR sensor, ammonia sensor, odor sensor and RFID reader to automatically monitor cleanliness and track employee attendance. The sensors detect factors like presence of people, ammonia and odor levels. If odor levels exceed thresholds, room fresheners are activated. High readings also trigger alerts to cleaning staff. RFID reads sweepers' ID cards to record attendance automatically when they enter washrooms. The system aims to promote hygiene and clean public washrooms using IoT technologies.
The document appears to be a report on the impact of COVID-19 on consumer behaviour. It includes sections such as an introduction, literature review, survey, results, and conclusion. It was submitted by several students for their degree at Sharda University and was supervised by Dr. [Name].
MITIGATING RISK THROUGH AUTOMATIC TEMPERATURE SENSINGIRJET Journal
This document discusses the development of an Automatic Temperature Sensing (ATS) system using IoT and Arduino to help mitigate risks from Covid-19. The system is designed to automatically detect people's temperatures without contact in public spaces to identify potential Covid cases. The document outlines the ATS design process including use case modeling, activity diagrams, class diagrams, and sequence diagrams. It also describes the hardware and software implementation including an MLX90614 temperature sensor, Arduino Uno, breadboard, wires, and Arduino IDE. Testing showed the system could accurately detect normal and elevated temperatures to help control access and reduce virus spread. The research concludes ATS has potential to help manage pandemic risks if implemented in locations where people
In this era of Digitization and Automation, the life of human beings is getting simpler as almost everything is automatic, replacing the old manual systems. Nowadays humans have made internet an integral part of their everyday life without which they are helpless. Internet of things IOT provides a platform that allows devices to connect, sensed and controlled remotely across a network infrastructure. Our project basically focuses on Laboratory automation using smart phone and computer. The IOT devices controls and monitors the electronic electrical and the mechanical systems used in various types of buildings. The devices connected to the cloud server are controlled by a single admin which facilitate a number of users to which a number of sensor and control nodes are connected. The system designed is economical and can be expanded as it allows connection and controlling of a number of different devices. Deepak Adhav | Rahul Pagar | Ravi Sonawane | Sachin Tawade ""Smart Laboratory"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22840.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/22840/smart-laboratory/deepak-adhav
IRJET- Air and Sound Pollution Monitoring System using IoTIRJET Journal
This document describes an air and sound pollution monitoring system using IoT. The system uses sensors to measure air quality parameters like carbon dioxide, nitrogen dioxide, and sound pollution levels. The sensor data is sent to a Raspberry Pi module connected to a GPRS module to transmit the data via mobile networks. The data is stored on a cloud server for remote access and monitoring through a mobile app. The system aims to provide real-time pollution monitoring and alert authorities if fire is detected to help control pollution and ensure public safety.
Automatic covid screening and deep learningIRJET Journal
This document discusses the development of an IoT-based smart screening and disinfection system to help control the spread of COVID-19. The proposed system uses temperature sensors, a pulse sensor, and image processing with deep learning for face mask detection to screen individuals. If thresholds are exceeded, the system would record the individual and activate disinfection protocols like spraying sanitizer or closing doors. It was designed to reduce human involvement in screening processes. The system aims to minimize COVID-19 spread at public entrances through rapid, automated screening and recorded tracking of suspected cases.
IoT Based Human Activity Recognition and Classification Using Machine LearningIRJET Journal
This document discusses a research paper on human activity recognition and classification using machine learning and IoT sensors. It begins with an abstract that outlines several methods for recognizing human activities, including sensors to detect orientation, motion, and position over time. The document then discusses the aim of the project to create an independent device for human activity recognition using IoT sensors to measure acceleration and gyroscopic position, with results predicted using MATLAB. It provides an overview of related work using various sensors and machine learning algorithms for activity recognition. The proposed system architecture is described using an Arduino board, ESP WiFi module, and ADXL334 accelerometer to collect and transmit sensor data for activity classification.
This document summarizes a research paper on developing a system to detect whether individuals are wearing face masks using CCTV cameras in public places like grocery stores. The system uses convolutional neural networks (CNN) for face detection and mask detection in images from the cameras. If someone is detected without a mask, an alert is sent to store owners. The goal is to help reduce the spread of COVID-19 by enforcing mask rules and making people aware of the importance of masks for health and safety. The proposed system could be expanded for use in other public areas like malls and universities to monitor mask compliance through IoT-connected cameras.
IOT Based Anesthesia Parameters Monitoring with Doctor Decision Assistance us...IRJET Journal
The document proposes an IOT-based system using sensors and a Raspberry Pi to monitor anesthesia parameters during surgery, transmitting data to ThingSpeak cloud and providing a predictive risk analysis and alerts to medical staff. It aims to help anesthesia doctors by collecting data on temperature, heart rate, oxygen levels and other vital signs, applying machine learning to predict risks, and sending alerts if readings exceed thresholds. Key challenges addressed developing such a system for real-time use across multiple patients and devices while maintaining data privacy in the medical domain.
AN ADVANCED MONITORING AND HEALTH CARE FOR ASTHMAIRJET Journal
This document describes a proposed advanced monitoring and healthcare system for asthma. The system uses sensors to monitor environmental pollution, dust particles, and a child's breathing to detect any breathing difficulties. If difficulties are detected, the IoT alert system triggers an alarm and notifies emergency contacts via messages. This allows for immediate medical assistance. The system aims to help diagnose and treat children with asthma earlier to reduce complications.
IRJET- Energy Conservation and Digital Security Notice Board for Smart Class ...IRJET Journal
This document proposes a smart classroom system that uses various sensors and technologies to automate student attendance monitoring, information display, security monitoring, and energy conservation. The system uses RFID and fingerprint sensors to automatically record student attendance. An IR sensor counts the number of people in the classroom and a temperature sensor monitors the room climate. Based on occupancy and temperature, lights and fans are automatically controlled. A Raspberry Pi, camera, and GSM module provide security monitoring, information display on a smart board, and communication. The goal is to develop an integrated smart classroom system that saves time, effort and energy compared to separate existing devices.
Face Mask Detection and Contactless Body Temperature SensingIRJET Journal
This document presents a proposed system to detect if individuals are wearing face masks and measure their body temperature using CCTV cameras at grocery stores. The system aims to help reduce the spread of COVID-19 by notifying store owners if an unmasked individual or someone with a high temperature is detected. It uses computer vision and deep learning techniques like convolutional neural networks to identify faces and determine if a mask is worn correctly. An infrared thermometer would also measure temperatures and alert authorities by email if thresholds are exceeded. The researchers hope this system can be implemented in other public areas to enforce mask and distancing rules and control viral transmission through early detection of potential cases.
Thermal Imaging in Surgical Site Infection (SSI) DetectionIRJET Journal
This document summarizes a study on using thermal imaging to detect surgical site infections (SSIs) earlier than current methods. The study collected thermal and digital images of abdominal surgical sites from 6 subjects. It analyzed the images using image processing software to extract temperature and texture features from regions of interest. It found that infected sites had lower average temperatures and different texture features like contrast, homogeneity, and kurtosis compared to uninfected sites. By analyzing differences in these features between infected and uninfected regions, the study aims to predict SSIs earlier than current methods based on visual inspection alone. Thermal imaging is a non-invasive method that could help detect SSIs earlier and improve patient outcomes.
IRJET- IoT based Advanced Healthcare Architecture: A New ApproachIRJET Journal
This document proposes a new IoT-based advanced healthcare architecture with remote monitoring capabilities. The architecture includes new sensors for data collection, a fog computing layer for efficient storage and real-time analysis, and disease prediction and location tracking features. Sensors continuously generate large amounts of heterogeneous data that is analyzed using machine learning algorithms to predict health conditions. Doctors and authorized users can monitor patients' health data through a website or mobile application. The system aims to improve healthcare quality by enabling real-time remote health monitoring, analysis, and automatic control of home appliances based on patients' needs.
IRJET- IoT based Industrial Water Quality Monitoring SystemIRJET Journal
This document describes an IoT-based system for industrial water quality monitoring. The system monitors key water parameters like pH, turbidity, and temperature using sensors. It sends the sensor readings over WiFi to a NodeMCU microcontroller. The microcontroller then sends the data over the internet to a web page, allowing remote monitoring of the water quality in real-time. The system also has a GPS module to track the location of the sensor node. If the sensor readings exceed safe levels, it can automatically send an alert message to notify the relevant industry. The goal is to enable continuous monitoring of industrial wastewater to help control pollution and protect water resources.
Presentation On Advance Monitoring of Cold chain truckPUSHP RAJ BHARTI
This document outlines a project to develop an IoT-based system to minimize false claims in food transportation. The system uses sensors to monitor conditions inside containers and sends data to the cloud for analysis. If any sensor readings exceed thresholds, an alert SMS is sent. Real-time data visualization and storage on cloud databases allows transportation companies to reduce losses from false customer claims about food quality during transport.
Ambient intelligence (AmI) refers to digital environments that are aware of a person's presence and context and can respond accordingly. Key aspects of AmI include systems and technologies that are embedded, context-aware, personalized, adaptive, and anticipatory. AmI aims to improve people's quality of life while also benefiting the environment through more efficient energy usage and waste reduction. Some applications of AmI include smart homes, health monitoring, transportation, education, emergency services, and production facilities. However, challenges remain regarding issues like limited sensor battery life, modeling multiple users, self-testing software, and privacy/security concerns.
A Review Paper on Doctorless Intelligent Covid CenterIRJET Journal
This document reviews a proposed contactless patient health monitoring system for COVID centers. The system would employ touchless technology to prevent infection spread by avoiding direct contact with patients. Sensors would collect patient data like temperature and oxygen levels and transmit it to a microcontroller. The data would be stored in LabVIEW on a server. Applications like paramedic robots would be used to deliver meals and medicine to eliminate personal contact between patients and healthcare providers. The goal is to minimize physical contact with COVID patients and allow remote monitoring by doctors.
This document summarizes a research paper on using the Internet of Things (IoT) for industrial automation. It describes a system that uses sensors to monitor industrial conditions and applications. The sensor data is sent to an Android device and compared to threshold values set by an administrator. If any uneven conditions are detected, alerts or alarms are generated and sent to the administrator by message or email. The system also uses artificial intelligence to take intelligent actions to address problems based on past experiences stored in a cloud database. The goal is to automatically monitor industries and generate alerts or make decisions without human intervention.
IRJET- Crop Yield Prediction and Disease Detection using IoT ApproachIRJET Journal
This document proposes a system to predict crop yields and detect diseases using an IoT approach. The system would use sensors to monitor soil moisture levels, weather conditions, and other environmental factors. This data would be sent to a Raspberry Pi controller and stored in a database. Farmers could access this information through a mobile app to make informed decisions. The system would also automatically predict potential crop diseases based on changing conditions and provide prevention methods to farmers. This precision agriculture approach aims to help farmers save time and resources through better decision making supported by real-time sensor data analysis.
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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In this era of Digitization and Automation, the life of human beings is getting simpler as almost everything is automatic, replacing the old manual systems. Nowadays humans have made internet an integral part of their everyday life without which they are helpless. Internet of things IOT provides a platform that allows devices to connect, sensed and controlled remotely across a network infrastructure. Our project basically focuses on Laboratory automation using smart phone and computer. The IOT devices controls and monitors the electronic electrical and the mechanical systems used in various types of buildings. The devices connected to the cloud server are controlled by a single admin which facilitate a number of users to which a number of sensor and control nodes are connected. The system designed is economical and can be expanded as it allows connection and controlling of a number of different devices. Deepak Adhav | Rahul Pagar | Ravi Sonawane | Sachin Tawade ""Smart Laboratory"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22840.pdf
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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.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
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
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.