This document summarizes a research paper on developing an automatic room temperature control system using voice integration. The system uses sensors to monitor temperature and humidity. An Arduino microcontroller processes the sensor data and activates cooling or heating devices when the temperature exceeds or falls below the set threshold. Voice commands through a cloud-based platform allow users to adjust the temperature setting without physical interaction. The system aims to improve comfort, efficiency and accessibility of automatic temperature control.
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This document describes a smart greenhouse system that uses IoT sensors and machine learning algorithms to automatically control and optimize greenhouse conditions. Sensors collect data on soil moisture, temperature, humidity, and light intensity. This data is sent to the cloud for remote monitoring and analysis. Machine learning models then analyze the sensor data to predict conditions and automatically adjust parameters like temperature to create an ideal environment for plant growth. The system aims to provide more accurate guidance for farmers compared to manual greenhouse operations. It presents the system design and components, literature review on similar projects, materials and methods, results and discussion of benefits, and conclusions.
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This document describes an agriculture environment monitoring system using Android that measures temperature, moisture, and other parameters to help farmers. The system includes soil moisture sensors, a temperature sensor, humidity sensor, and ultrasonic sensor to measure water levels. An Arduino board collects data from the sensors. If the soil moisture is low, a water motor will automatically turn on. Farmers can monitor parameters in real-time using a mobile Android application. The system aims to help with remote monitoring, water conservation, and increasing crop yields for Indian agriculture.
1. The document describes a smart and secure home system using IoT that allows users to control home appliances like AC and washing machines remotely through an internet connection from anywhere in the world.
2. The system uses an Arduino Mega board connected to sensors and a GSM modem to monitor temperature and motion in the home. If thresholds are exceeded, the system sends SMS alerts to users. It can also control appliances through relays.
3. The system includes a fire emergency system that uses a temperature sensor to detect fires and alert users through SMS, as well as a security system using a PIR motion sensor to detect intruders and notify users. This allows remote monitoring and control of the home while providing
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1) The document describes an IoT-based system for monitoring and controlling the environment in a greenhouse.
2) Sensors measure parameters like temperature, humidity, soil moisture, light intensity, and more, and an Arduino microcontroller controls fans, pumps, lights, and other devices based on the sensor readings.
3) An ESP8266 WiFi module transmits sensor data to the cloud so that users can monitor and control the greenhouse remotely using a computer or mobile device.
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This document describes a proposed smart gardening system using IoT technology. It would use sensors to monitor soil conditions like moisture, temperature and humidity. An ESP32 microcontroller would collect data from the sensors and send it via WiFi to the cloud. The user could access the sensor data through a mobile app to monitor their garden remotely. If conditions exceed thresholds, the system could automatically trigger actions like turning on irrigation. The system aims to help farmers more easily manage their gardens without constant physical presence through automated monitoring and control enabled by IoT.
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This document provides a short review of home automation technology perspectives. It discusses how technologies like IoT, Bluetooth, GSM, and Arduino allow for remote control and monitoring of home appliances and devices through smartphones. The review covers literature on using voice recognition, GSM networks, and brain-computer interfaces for home automation. It also discusses using cloud computing to collect home appliance data and control devices remotely. The conclusion is that the review presents different technologies that can help ensure home automation security.
A Comparative Study of Internet of Things Based Home Automation SystemIRJET Journal
This document discusses a comparative study of an Internet of Things (IoT) based home automation system. It describes how sensors like PIR, rain, and piezo sensors can be used with a microcontroller like Node MCU to automatically control lights and windows based on environmental conditions. A PHP web page is also proposed to allow remote control of appliances from anywhere using toggle buttons. The system aims to improve efficiency and reduce power waste through automated monitoring and control.
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This document describes a smart incubator system with real-time temperature and humidity control. The system uses a Tensilica ESP 8266 processor with built-in WiFi to connect to a smartphone. A DHT11 sensor measures the temperature and humidity inside the incubator. Fans and a water system are used to control the humidity levels. The smartphone can be used to monitor and adjust the temperature and humidity settings remotely. The goal is to provide optimal conditions for hatching eggs by maintaining precise environmental conditions inside the incubator.
Smart Greenhouse using Machine LearningIRJET Journal
This document describes a smart greenhouse system that uses IoT sensors and machine learning algorithms to automatically control and optimize greenhouse conditions. Sensors collect data on soil moisture, temperature, humidity, and light intensity. This data is sent to the cloud for remote monitoring and analysis. Machine learning models then analyze the sensor data to predict conditions and automatically adjust parameters like temperature to create an ideal environment for plant growth. The system aims to provide more accurate guidance for farmers compared to manual greenhouse operations. It presents the system design and components, literature review on similar projects, materials and methods, results and discussion of benefits, and conclusions.
AGRICULTURE ENVIRONMENT MONITORING SYSTEM USING ANDROIDIRJET Journal
This document describes an agriculture environment monitoring system using Android that measures temperature, moisture, and other parameters to help farmers. The system includes soil moisture sensors, a temperature sensor, humidity sensor, and ultrasonic sensor to measure water levels. An Arduino board collects data from the sensors. If the soil moisture is low, a water motor will automatically turn on. Farmers can monitor parameters in real-time using a mobile Android application. The system aims to help with remote monitoring, water conservation, and increasing crop yields for Indian agriculture.
1. The document describes a smart and secure home system using IoT that allows users to control home appliances like AC and washing machines remotely through an internet connection from anywhere in the world.
2. The system uses an Arduino Mega board connected to sensors and a GSM modem to monitor temperature and motion in the home. If thresholds are exceeded, the system sends SMS alerts to users. It can also control appliances through relays.
3. The system includes a fire emergency system that uses a temperature sensor to detect fires and alert users through SMS, as well as a security system using a PIR motion sensor to detect intruders and notify users. This allows remote monitoring and control of the home while providing
IRJET- Design and Implementation of IoT based Greenhouse Environment Monitori...IRJET Journal
1) The document describes an IoT-based system for monitoring and controlling the environment in a greenhouse.
2) Sensors measure parameters like temperature, humidity, soil moisture, light intensity, and more, and an Arduino microcontroller controls fans, pumps, lights, and other devices based on the sensor readings.
3) An ESP8266 WiFi module transmits sensor data to the cloud so that users can monitor and control the greenhouse remotely using a computer or mobile device.
Smart Gardening System Using the Internet of ThingsIRJET Journal
This document describes a proposed smart gardening system using IoT technology. It would use sensors to monitor soil conditions like moisture, temperature and humidity. An ESP32 microcontroller would collect data from the sensors and send it via WiFi to the cloud. The user could access the sensor data through a mobile app to monitor their garden remotely. If conditions exceed thresholds, the system could automatically trigger actions like turning on irrigation. The system aims to help farmers more easily manage their gardens without constant physical presence through automated monitoring and control enabled by IoT.
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This document provides a short review of home automation technology perspectives. It discusses how technologies like IoT, Bluetooth, GSM, and Arduino allow for remote control and monitoring of home appliances and devices through smartphones. The review covers literature on using voice recognition, GSM networks, and brain-computer interfaces for home automation. It also discusses using cloud computing to collect home appliance data and control devices remotely. The conclusion is that the review presents different technologies that can help ensure home automation security.
A Comparative Study of Internet of Things Based Home Automation SystemIRJET Journal
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IRJET- Centralized Wireless Home Appliances Control SystemIRJET Journal
This document describes a centralized wireless home appliances control system that allows users to control home appliances remotely using a smartphone application. The system uses a NodeMCU microcontroller connected to appliances via relays to control devices based on signals from the smartphone app over WiFi. Sensors such as moisture, ultrasonic, and infrared sensors can also send data to the user. The system aims to provide convenient, easy to use, and affordable remote control of home appliances.
IoT Based Smart Ventilator & Patient Monitoring SystemIRJET Journal
This document describes an IoT-based smart ventilator and patient monitoring system. The system has two parts - an IoT ventilator that uses a servo motor to pump air into an Ambu bag to ventilate patients, and a patient monitoring system that measures vital signs like temperature, blood oxygen levels, and heart rate. Both systems connect to the internet using ESP8266 and send data to a website where doctors can monitor patients. The integrated system provides low-cost ventilation and health monitoring, especially important during the COVID-19 pandemic. It allows remote patient monitoring to help doctors track vitals and decide if ventilation is needed.
Smart monitoring system using NodeMCU for maintenance of production machinesnooriasukmaningtyas
Maintenance is an activity that helps to reduce risk, increase productivity, improve quality, and minimize production costs. The necessity for maintenance actions will increase efficiency and enhance the safety and quality of products and processes. On getting these conditions, it is necessary to implement a monitoring system used to observe machines' conditions from time to time, especially the machine parts that often experience problems. This paper presents a low-cost intelligent monitoring system using NodeMCU to continuously monitor machine conditions and provide warnings in the case of machine failure. Not only does it provide alerts, but this monitoring system also generates historical data on machine conditions to the Google Cloud (Google Sheet), includes which machines were down, downtime, issues occurred, repairs made, and technician handling. The results obtained are machine operators do not need to lose a relatively long time to call the technician. Likewise, the technicians assisted in carrying out machine maintenance activities and online reports so that errors that often occur due to human error do not happen again. The system succeeded in reducing the technician-calling time and maintenance workreporting time up to 50%. The availability of online and real-time maintenance historical data will support further maintenance strategy.
IRJET- Home Control System using Artificial IntelligenceIRJET Journal
This document describes a home control system that uses voice commands via the Google Assistant. The system allows users to control household appliances like lights, fans, and TVs using natural language voice commands to the Google Assistant. The Google Assistant then sends the commands to IFTTT, which decodes them and sends signals to a NodeMCU microcontroller over WiFi. The microcontroller controls relays connected to appliances, turning them on and off. The system provides a low-cost way to control home appliances using voice commands with readily available components like the Google Assistant, IFTTT, NodeMCU, and relays.
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This document describes a smart switch system that can control the flow of electricity from solar panels, batteries, or the grid to power various home appliances. It uses an ESP8266 Wi-Fi module connected to a relay board to allow remote control of appliances via a smartphone app. When signals are sent from the app, the Wi-Fi module activates the relay board to switch appliances on or off. This provides a smart home solution for remotely monitoring and controlling lights, AC, fans and other devices using a wireless network. The system was tested successfully and could enable more convenient and efficient energy management in homes with solar power.
This document discusses smart building subsystems and a design for a smart fire and gas detection system. It describes smart lighting, security, and other building subsystems. It then discusses a system using an Arduino microcontroller, gas and flame sensors, and a mobile phone to detect gas leaks or fires and automatically call designated phone numbers. If a sensor is triggered, the microcontroller tells a relay module to call the user's phone number to warn them of the emergency.
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This document presents a seasonable IoT-based dehydration system for agricultural products. The system uses an ESP32 controller, temperature sensor, fan, heating coil and tray to remove moisture from grains and preserve them. It aims to help farmers get proper value for their crops by controlling moisture levels. The system is automated and can be monitored remotely using an app. It circulates heated air over crops on trays to dry them in an energy efficient manner while avoiding spoilage. Key features include IoT connectivity, temperature control and automated operation to help farmers during rainy seasons.
Development of Personal Weather Report for Home SecurityIOSRJVSP
With the fast growing technology, it is a great need to get to know about our surrounding weather parameters (temperature, humidity, atmospheric pressure, gas and light intensity) for better development of living community. A complete weather report can easily access the rarest and the farthest information at one’s own fingertips. It is based on IoT (Internet of Things), which is an emerging field in which all the devices are connected to a channel and collect the data to gather a complete information through a personnel devices. It is generally used to view the weather parameters with the help of unique API key for a particular user. Wi-Fi module, temperature, pressure, humidity, gas, and light intensity sensors are interfaced with the Arduino. The user is prompted to provide the API key of channel. ESP8266-01 reads the key and sends it to the Arduino. If the key is matched, then the data transmission can be carried out between the channel and the microcontroller. The module is connected to the Wi-Fi through some AT Commands.
This document discusses a proposed system for warehouse management using IoT. The system would use sensors like DHT11 (for temperature and humidity), a flame detector, and an ADXL335 accelerometer to continuously monitor the environment in a warehouse for factors like temperature, moisture, fire, and earthquakes. If any emergency events are detected, such as a fire or earthquake, the system would send alert messages via GSM to notify warehouse officials, emergency services, and hospitals so they can respond quickly. The system aims to automate environmental monitoring and alerting to improve safety and efficiency over manual methods, while using low-cost, low-power components suitable for rural areas.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IRJET- Solar Power Based Remote Monitoring and Control of Industrial Paramete...IRJET Journal
This document describes a proposed system for remote monitoring and control of industrial parameters using solar power and IoT technology. The system uses various sensors to measure parameters like temperature, pressure, gas levels etc. and sends the data via an IoT module to the cloud for storage. A user can access the parameter values through software on their device and control devices remotely. If any parameters exceed thresholds, automated actions are taken like turning on cooling fans. The system aims to improve safety and efficiency by allowing constant remote monitoring without human intervention. It can send alerts if emergencies like fires occur and notify authorities. The solar power aspect makes it more sustainable by reducing energy usage for monitoring.
QAC020X355A Designing And Developing Products For The Internet Of Everything....write5
This document describes the design of a Bluetooth-enabled IoT system to monitor temperature, humidity, and gas levels in a home. The system uses sensors to measure these environmental factors and sends alerts if levels exceed safe thresholds. It aims to promote health and comfort by regulating heating/cooling, humidity, and detecting gas leaks through automated or user-controlled devices. The system architecture and components like microcontrollers, sensors, displays, and Bluetooth modules are outlined.
IRJET- Design and Implementation of Integrated Smart Home System (ISHS)IRJET Journal
This document describes the design and implementation of an integrated smart home system using an Arduino Mega 2560 PRO microcontroller and Internet of Things (IoT) technology. The proposed system integrates various sensors and devices to monitor and control the home environment, including temperature, humidity, gas leaks, fire detection, soil moisture, and presence of people. It allows remote control and monitoring via an Android application and provides features like automated trash management, gas booking, and one-time password entry for authorized guests. The system aims to provide improved convenience, security, and energy efficiency compared to existing smart home systems.
1. The document describes a smart refrigerator system that uses sensors and IoT technology to monitor food levels and conditions inside the refrigerator.
2. An ESP32 microcontroller is used as the central processing unit, connected to sensors like a load cell to detect food levels, temperature/humidity sensors, and a water level sensor.
3. The sensor data is sent to an Android app via WiFi to allow users to remotely monitor the refrigerator conditions and food levels, with features like automatic reordering when food gets low.
IRJET - Wireless Monitoring and Controlling of Greenhouse EnvironmentIRJET Journal
This document presents a system for wirelessly monitoring and controlling the greenhouse environment. The system uses sensors to monitor temperature, humidity, soil moisture, and light levels. A local station collects sensor data via a microcontroller and transmits it wirelessly to a central station using Zigbee. The central station is a PC that can analyze the data and send control signals back to actuators at the local station, such as heaters or sprinklers, to maintain optimal environmental conditions for plant growth. The system aims to independently control the greenhouse environment for maximum crop yields.
IRJET- Smart Weather Monitoring and Real Time Alert System using IoTIRJET Journal
This document proposes a smart weather monitoring system using IoT that measures various weather parameters like temperature, humidity, wind speed, etc. using sensors. The sensors send real-time data to a web page for access from anywhere. An app also sends alerts about sudden weather changes. While existing systems have limitations like high costs, maintenance needs and delayed warnings, the proposed system is compact, portable, and cheaper due to its solar power and sensor costs. It analyzes sensor data using an API and Raspberry Pi to predict weather accurately. This smart monitoring system could benefit various industries.
IRJET - Prevention of Crop Disease in Plants (Groundnut) using IoT and Ma...IRJET Journal
The article discusses international issues. It mentions that globalization has increased economic interdependence between nations while also raising tensions over immigration and trade. Solutions will require cooperation and compromise and a recognition that isolationism is not a viable strategy in an interconnected world.
IRJET- Automated Smart Greenhouse Environment using IoTIRJET Journal
This document describes an automated smart greenhouse system using Internet of Things (IoT) technology. Sensors are used to monitor environmental parameters like temperature, humidity, soil moisture, light intensity, and pH levels. An Arduino microcontroller collects data from the sensors and sends it over WiFi or Ethernet to a cloud server. Users can access the sensor data through a mobile app to remotely monitor greenhouse conditions. If any parameters exceed a threshold, the system can automatically control actuators like fans, pumps, and lights to regulate the greenhouse environment. The system aims to help farmers efficiently manage greenhouse agriculture without constant on-site presence.
This document describes an Internet of Things (IoT) based temperature and humidity monitoring and control system. The system uses a DHT11 sensor to monitor temperature and humidity levels, which are sent to a NodeMCU microcontroller over WiFi. The NodeMCU then transmits the sensor data to the ThingSpeak IoT platform where it is stored and visualized on online charts. Based on predefined temperature and humidity thresholds, the system can automatically control actuators like fans and air conditioners using relays to regulate the environment as needed. The system provides remote monitoring of environmental conditions from anywhere via the internet and has applications in agriculture, industrial processes, and building management.
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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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.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
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.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.