This document describes an IOT-based system to monitor the freshness of fruits using an Arduino Nano microcontroller. The system measures the concentration of ethylene gas and other gases in the fruit's atmosphere using MQ3 and MQ5 gas sensors. It also measures temperature and humidity using a DHT11 sensor. The sensors detect factors that indicate ripeness and spoilage. If thresholds for ethylene levels, other gases, temperature or humidity are exceeded, the system triggers a buzzer and displays warnings on an LCD screen. The system was tested on apples and bananas. It was found that excessively decayed fruit produces over 300ppm of ethylene. The simple and low-cost device could
Environment pollution is one of the core problems which is hampering the natural inhabitants. The most common examples of environment pollutions are massive emissions of Carbon-dioxide (CO2) gas, smoke from chimneys, which basically fall under Air pollution, and then there are also Sound pollution and Water pollution which adds to the list. In our project, the main objective is the measurement of the pollutants in nature and store the data in a “Cloud Server” which would be integrated with Raspberry pi so that, anyone can have access to read the data of various parameters which are responsible for environment pollution using laptops, computers, smartphones or any kind of smart devices through the internet.
• Why Important?
It is important for us to keep track of the pollution levels because once they cross the safe limits, it will be detrimental to our surroundings. Moreover, Dhaka is one of the most populated cities around the world, and this is why this measurement of Environment Pollution will come in handy as the system we are setting up will collect data and send it to store them in a cloud which would be sent to the authorities so that they can take the measures to control the damage.
• Utility (Service)
Cloud IoT platforms provides several kinds of services that are very useful. Cloud data storage system enables users to store data sent from different boards (like Arduino or Raspberry pi). The data can be accessed from anywhere around the world, so that they can be analyzed later for future purposes. The data collected is a real time scenario, so that people can see it on the website the condition of the environment by seeing the data and the responsible authority can compare these at different locations.
In our work so far, we have used Arduino, which is an open source electronic platform based on easy-to-hardware and software. Arduino boards can read inputs from a sensor and turn them into outputs by obeying the set of instructions given to the microcontroller on the board. This has been achieved by using the Arduino programming language and Arduino programming software.
The sole purpose of using Arduino as a medium and not directly send it to the cloud using Raspberry pi is because the sensors in Arduino are analogue but, raspberry pi has all digital ports. Arduino has both digital and analogue pins.
Sound and air pollution are a prominent subject that in our country continues to be highlighted every year.The Air Quality Index(AQI) in certain sections of the nation exceeds 500 and in traffic sounds exceeds 100 dB. Air quality and sound amplitude must be monitored for a better and safer life for everybody.
We present here a method for air pollution monitoring and sound pollution control that enables us to monitor live air Pollution and sound contamination by IOT in a region.
The document describes Wisenet, a wireless sensor network that monitors environmental conditions like temperature, light, and humidity using sensor nodes called "motes". The motes form an ad-hoc network to transmit sensor data to a server, which stores the data in a database. This data can then be analyzed and retrieved through a web interface. The network uses a microcontroller with integrated radio, various digital sensors, and software like TinyOS, MySQL, and PHP to acquire and analyze the sensor data. The system was implemented with one sensor mote to test functionality.
Covid-19 and IoT: Some Perspectives on the Use of IoT Technologies in Prevent...eraser Juan José Calderón
Covid-19 and IoT: Some Perspectives on the Use of
IoT Technologies in Preventing and Monitoring
COVID-19 Like Infectious Diseases & Lessons
Learned and Impact of Pandemic on IoT
The document discusses mixed reality and the Microsoft HoloLens. It defines mixed reality as a hybrid of virtual and actual reality where physical and digital objects can interact. The HoloLens allows users to see, hear, and interact with holograms overlaid on the real world. It has sensors and specialized hardware like the Holographic Processing Unit that allow it to track hand motions and blend holograms into the environment. The document outlines the HoloLens hardware components, development workflow, applications like education and marketing, and concludes that the HoloLens enables rich holographic computing experiences beyond current technologies.
Environment pollution is one of the core problems which is hampering the natural inhabitants. The most common examples of environment pollutions are massive emissions of Carbon-dioxide (CO2) gas, smoke from chimneys, which basically fall under Air pollution, and then there are also Sound pollution and Water pollution which adds to the list. In our project, the main objective is the measurement of the pollutants in nature and store the data in a “Cloud Server” which would be integrated with Raspberry pi so that, anyone can have access to read the data of various parameters which are responsible for environment pollution using laptops, computers, smartphones or any kind of smart devices through the internet.
• Why Important?
It is important for us to keep track of the pollution levels because once they cross the safe limits, it will be detrimental to our surroundings. Moreover, Dhaka is one of the most populated cities around the world, and this is why this measurement of Environment Pollution will come in handy as the system we are setting up will collect data and send it to store them in a cloud which would be sent to the authorities so that they can take the measures to control the damage.
• Utility (Service)
Cloud IoT platforms provides several kinds of services that are very useful. Cloud data storage system enables users to store data sent from different boards (like Arduino or Raspberry pi). The data can be accessed from anywhere around the world, so that they can be analyzed later for future purposes. The data collected is a real time scenario, so that people can see it on the website the condition of the environment by seeing the data and the responsible authority can compare these at different locations.
In our work so far, we have used Arduino, which is an open source electronic platform based on easy-to-hardware and software. Arduino boards can read inputs from a sensor and turn them into outputs by obeying the set of instructions given to the microcontroller on the board. This has been achieved by using the Arduino programming language and Arduino programming software.
The sole purpose of using Arduino as a medium and not directly send it to the cloud using Raspberry pi is because the sensors in Arduino are analogue but, raspberry pi has all digital ports. Arduino has both digital and analogue pins.
Sound and air pollution are a prominent subject that in our country continues to be highlighted every year.The Air Quality Index(AQI) in certain sections of the nation exceeds 500 and in traffic sounds exceeds 100 dB. Air quality and sound amplitude must be monitored for a better and safer life for everybody.
We present here a method for air pollution monitoring and sound pollution control that enables us to monitor live air Pollution and sound contamination by IOT in a region.
The document describes Wisenet, a wireless sensor network that monitors environmental conditions like temperature, light, and humidity using sensor nodes called "motes". The motes form an ad-hoc network to transmit sensor data to a server, which stores the data in a database. This data can then be analyzed and retrieved through a web interface. The network uses a microcontroller with integrated radio, various digital sensors, and software like TinyOS, MySQL, and PHP to acquire and analyze the sensor data. The system was implemented with one sensor mote to test functionality.
Covid-19 and IoT: Some Perspectives on the Use of IoT Technologies in Prevent...eraser Juan José Calderón
Covid-19 and IoT: Some Perspectives on the Use of
IoT Technologies in Preventing and Monitoring
COVID-19 Like Infectious Diseases & Lessons
Learned and Impact of Pandemic on IoT
The document discusses mixed reality and the Microsoft HoloLens. It defines mixed reality as a hybrid of virtual and actual reality where physical and digital objects can interact. The HoloLens allows users to see, hear, and interact with holograms overlaid on the real world. It has sensors and specialized hardware like the Holographic Processing Unit that allow it to track hand motions and blend holograms into the environment. The document outlines the HoloLens hardware components, development workflow, applications like education and marketing, and concludes that the HoloLens enables rich holographic computing experiences beyond current technologies.
This document discusses different types of immersive technology including virtual reality (VR), augmented reality (AR), and mixed reality (MR). VR creates a simulated 3D environment that users can interact with using special equipment. AR superimposes digital images on the real world to provide a composite view. MR blends the physical and digital worlds for natural 3D interactions. Examples of immersive technologies provided include 360-degree videos, VR headsets like Oculus Quest, AR on smartphones, and mixed reality devices like HoloLens 2 and Jio Glass. Augmented guidance systems are also discussed which use AR to visually guide users through tasks.
The document proposes a temperature monitoring system using an Arduino Uno, ESP8266 Wi-Fi module, DHT11 temperature and humidity sensor, and 9V battery. The DHT11 sensor measures temperature and sends the data to the Arduino MCU, which then uploads the values to the cloud through the ESP8266 module. Users can view the temperature graphically from anywhere in the world. The system has applications in industries like pharmacy, agriculture, food safety, and equipment monitoring by providing remote temperature monitoring and alerts.
The growth of embedded systems connecting to the Internet or "Internet of Things" (IoT) increases year by year. Thus, the IoT ecosystems become new targets of the attackers. This presentation will talk about the basic principle of information security, why we need to secure IoT ecosystems, and also the vulnerabilities and solutions from OWASP.
The document presents a summary of domain specific IoT systems by Ms. R. R. Mahalle. It introduces IoT, how IoT works based on M2M communication, and common IoT protocols like MQTT and CoAP. Applications of IoT are discussed for agriculture, smart cities, health, home automation and more. K-nearest neighbors and naive bayes algorithms are described for computing IoT data. The future scope of IoT includes low power sensing, high efficiency connectivity, and reliable communication.
The document presents an overview of Internet of Things (IoT) concepts and proposes a reference architecture for IoT. It discusses core IoT concerns like connectivity, device management, data handling and security. It describes common IoT device types like Arduino, Raspberry Pi and communication protocols like HTTP, MQTT, CoAP. The proposed reference architecture aims to provide a scalable and secure way to interact with billions of connected devices by addressing issues like management, data processing and disaster recovery. An example implementation of the architecture for an RFID attendance tracking system is also presented.
COMP 4010 Course on Virtual and Augmented Reality. Lectures for 2017. Lecture 3: VR Input and Systems. Taught by Bruce Thomas on August 10th 2017 at the University of South Australia. Slides by Mark Billinghurst
This document describes an air pollution monitoring system that uses sensors interfaced with a monitoring shield to detect pollutants like dust, smoke, carbon monoxide, and carbon dioxide. The sensor data is transmitted wirelessly to a web server and cloud database. Users can monitor real-time data streams online. Data analytics are performed periodically to analyze trends and generate alert messages when pollution levels exceed thresholds. The system was deployed to monitor indoor and outdoor air quality.
This document discusses Internet of Things (IoT) applications in agriculture. It defines IoT as the internetworking of physical devices that can transfer data over a network without human interaction. Key IoT applications in agriculture discussed include crop water management using soil moisture sensors, pest management using motion sensors, and precision agriculture. The document outlines an implemented method using Arduino, sensors, and wireless communication to monitor soil moisture levels and detect predator motion to send alerts and reduce crop damage while optimizing water usage.
This document proposes using IoT technology to effectively utilize and conserve power in smart homes. It discusses how recognizing human activity through sensors like cameras can reduce energy waste. The objectives are to properly manage electricity distribution to save energy, effectively utilize and conserve power, and control and monitor operating systems to make power usage low. The proposed method uses cameras to detect user activity, compares current activity to a training phase, and allows remote monitoring and control of appliances via a smartphone app and IoT microcontroller over WiFi. This system aims to be standalone, low-cost, flexible, easy to operate, and compatible with Android smartphones.
The NodeMCU is an open-source IoT development kit that allows users to prototype IoT products using a few lines of Lua script. It contains an ESP8266 WiFi SoC, programmable GPIO pins, 32KB RAM, 80KB DRAM, and 200KB flash memory. The NodeMCU can be programmed via C or Lua and connect to devices via WiFi or by connecting pins to sensors and actuators. It provides a low-cost way to build an interactive and programmable smart device with WiFi connectivity.
seminar report on night vision technologyAmit Satyam
This document summarizes the history and technology behind night vision devices. It describes how early generations used multiple image intensifier tubes to amplify light, while later generations employed microchannel plates and gallium arsenide photocathodes to improve light sensitivity and gain. The document outlines the key technological advances between each generation, from Generation 0 devices that used infrared illumination to Generation 4's filmless and gated technology offering improved resolution and reduced noise in varying light conditions.
The document discusses Internet of Things (IoT) concepts including embedded systems, sensors and actuators, microcontrollers and applications, and networks, protocols, and mobile ad hoc networks (MANETs). It provides examples of smart refrigerators and cars that are connected to networks and can sense their environments. The key aspects of IoT are connecting everyday objects to collect and share data over the Internet or other networks.
Air pollution monitoring system using mobile gprs sensors array pptSaurabh Giratkar
ppt This paper contain brief introduction to vehicular pollution, effect of increase in vehicular pollution on environment as well on human health. To monitor this pollution wireless sensor network (WSN) system is proposed. The proposed system consists of a Mobile Data-Acquisition Unit (Mobile-DAQ) and a fixed Internet-Enabled Pollution Monitoring Server (Pollution-Server). The Mobile-DAQ unit integrates a single-chip microcontroller, air pollution sensors array, a General Packet Radio Service Modem (GPRS-Modem), and a Global Positioning System Module (GPS-Module). The Pollution-Server is a high-end personal computer application server with Internet connectivity. The Mobile-DAQ unit gathers air pollutants levels (CO, NO2, and SO2), and packs them in a frame with the GPS physical location, time, and date. The frame is subsequently uploaded to the GPRS-Modem and transmitted to the Pollution-Server via the public mobile network. A database server is attached to the Pollution- Server for storing the pollutants level for further usage by various clients such as environment protection agencies, vehicles registration authorities, and tourist and insurance companies.
This document outlines the key aspects of the i-Mouse project. It discusses: [1] What the i-Mouse is and its benefits; [2] The block diagram and literature survey of related concepts; [3] The existing and proposed systems including the architectural design and system requirements. The goal of the i-Mouse is to provide hands-free cursor control using eye tracking to help disabled users control a computer.
Done by Group : Diamond
School Name : Umm Hakeem Independent Secondary School for Girls.
Smart Sensors Module : Gives knowledge about smart sensors and the PVDF films through activities, experiments and projects which depend on smart sensors.
the product Idea is : The smart blind glasses have an infrared sensor , it will be used by blind people which will allow them to walk freely like any other normal person, or let’s say that they are going to walk like they actually can see.
This document describes an IOT-based garbage monitoring system that uses ultrasonic sensors attached inside dustbins to detect whether they are empty or full. The sensor data is sent to an ATmega16 microcontroller via WiFi, and the microcontroller displays the status on an LCD and sends the data to a server. The server software manages the live dustbin level monitoring data. The system is intended to help manage waste more efficiently in places like homes, offices, and colleges.
Touchless technology Seminar PresentationAparna Nk
This document discusses touchless technology that allows users to interact with screens without physically touching them. It describes a touchless monitor developed by TouchKo, White Electronics Designs, and Groupe 3D that uses sensors around the screen to detect 3D motions and interpret them as on-screen interactions. The document also mentions several other touchless technologies like the Touchless SDK, Touch Wall, eye tracking devices, gesture recognition tools, and motion sensors that enable touchless control of devices.
This document describes an IoT project using an Arduino Uno, GSM shield, and relay to remotely control a water pump via mobile phone. The system allows farmers to turn a water pump on and off from anywhere using an AT command text message to the GSM shield. Key hardware includes the Arduino for control logic, GSM shield for cellular connectivity, and relay to switch the water pump power. The system aims to help farmers remotely operate water pumps for irrigation from off-site locations using a mobile phone.
This document discusses touchscreen technology. It describes how touchscreens work using touch sensors, controllers and drivers. It then covers the main types of touchscreen technologies - resistive, capacitive and infrared. It discusses usage of touchscreens with fingers or styli. Multi-touch technology is also introduced. Advantages include ease of use and interactivity while disadvantages include potential finger stress and fingerprints on the screen. The document concludes that while touchscreens have limitations, the technology is widely accepted and continuing to improve.
A Review on Pesticide Monitoring System for Fruits and Vegetables using IoTIRJET Journal
This document reviews a pesticide monitoring system for fruits and vegetables using IoT technology. It discusses how the system uses photo-sensitive effects and IoT to non-destructively detect pesticide toxicity levels in foods. The system is designed as a portable, accurate and user-friendly mobile phone app to help consumers choose produce with high quality and safety. It also aims to accelerate digitalization and improve public health by providing information on pesticide levels. The system combines IoT and mobile technologies to analyze chemicals in foods and send results to users.
CODET: Revolutionizing how we tackle food wasteKwasiTano1
With over 1 trillion of food wasted annually, codet aims to tackle this by focusing on understanding and predicting fruit maturity to determine the shelf life and quality of the fruit.
This document discusses different types of immersive technology including virtual reality (VR), augmented reality (AR), and mixed reality (MR). VR creates a simulated 3D environment that users can interact with using special equipment. AR superimposes digital images on the real world to provide a composite view. MR blends the physical and digital worlds for natural 3D interactions. Examples of immersive technologies provided include 360-degree videos, VR headsets like Oculus Quest, AR on smartphones, and mixed reality devices like HoloLens 2 and Jio Glass. Augmented guidance systems are also discussed which use AR to visually guide users through tasks.
The document proposes a temperature monitoring system using an Arduino Uno, ESP8266 Wi-Fi module, DHT11 temperature and humidity sensor, and 9V battery. The DHT11 sensor measures temperature and sends the data to the Arduino MCU, which then uploads the values to the cloud through the ESP8266 module. Users can view the temperature graphically from anywhere in the world. The system has applications in industries like pharmacy, agriculture, food safety, and equipment monitoring by providing remote temperature monitoring and alerts.
The growth of embedded systems connecting to the Internet or "Internet of Things" (IoT) increases year by year. Thus, the IoT ecosystems become new targets of the attackers. This presentation will talk about the basic principle of information security, why we need to secure IoT ecosystems, and also the vulnerabilities and solutions from OWASP.
The document presents a summary of domain specific IoT systems by Ms. R. R. Mahalle. It introduces IoT, how IoT works based on M2M communication, and common IoT protocols like MQTT and CoAP. Applications of IoT are discussed for agriculture, smart cities, health, home automation and more. K-nearest neighbors and naive bayes algorithms are described for computing IoT data. The future scope of IoT includes low power sensing, high efficiency connectivity, and reliable communication.
The document presents an overview of Internet of Things (IoT) concepts and proposes a reference architecture for IoT. It discusses core IoT concerns like connectivity, device management, data handling and security. It describes common IoT device types like Arduino, Raspberry Pi and communication protocols like HTTP, MQTT, CoAP. The proposed reference architecture aims to provide a scalable and secure way to interact with billions of connected devices by addressing issues like management, data processing and disaster recovery. An example implementation of the architecture for an RFID attendance tracking system is also presented.
COMP 4010 Course on Virtual and Augmented Reality. Lectures for 2017. Lecture 3: VR Input and Systems. Taught by Bruce Thomas on August 10th 2017 at the University of South Australia. Slides by Mark Billinghurst
This document describes an air pollution monitoring system that uses sensors interfaced with a monitoring shield to detect pollutants like dust, smoke, carbon monoxide, and carbon dioxide. The sensor data is transmitted wirelessly to a web server and cloud database. Users can monitor real-time data streams online. Data analytics are performed periodically to analyze trends and generate alert messages when pollution levels exceed thresholds. The system was deployed to monitor indoor and outdoor air quality.
This document discusses Internet of Things (IoT) applications in agriculture. It defines IoT as the internetworking of physical devices that can transfer data over a network without human interaction. Key IoT applications in agriculture discussed include crop water management using soil moisture sensors, pest management using motion sensors, and precision agriculture. The document outlines an implemented method using Arduino, sensors, and wireless communication to monitor soil moisture levels and detect predator motion to send alerts and reduce crop damage while optimizing water usage.
This document proposes using IoT technology to effectively utilize and conserve power in smart homes. It discusses how recognizing human activity through sensors like cameras can reduce energy waste. The objectives are to properly manage electricity distribution to save energy, effectively utilize and conserve power, and control and monitor operating systems to make power usage low. The proposed method uses cameras to detect user activity, compares current activity to a training phase, and allows remote monitoring and control of appliances via a smartphone app and IoT microcontroller over WiFi. This system aims to be standalone, low-cost, flexible, easy to operate, and compatible with Android smartphones.
The NodeMCU is an open-source IoT development kit that allows users to prototype IoT products using a few lines of Lua script. It contains an ESP8266 WiFi SoC, programmable GPIO pins, 32KB RAM, 80KB DRAM, and 200KB flash memory. The NodeMCU can be programmed via C or Lua and connect to devices via WiFi or by connecting pins to sensors and actuators. It provides a low-cost way to build an interactive and programmable smart device with WiFi connectivity.
seminar report on night vision technologyAmit Satyam
This document summarizes the history and technology behind night vision devices. It describes how early generations used multiple image intensifier tubes to amplify light, while later generations employed microchannel plates and gallium arsenide photocathodes to improve light sensitivity and gain. The document outlines the key technological advances between each generation, from Generation 0 devices that used infrared illumination to Generation 4's filmless and gated technology offering improved resolution and reduced noise in varying light conditions.
The document discusses Internet of Things (IoT) concepts including embedded systems, sensors and actuators, microcontrollers and applications, and networks, protocols, and mobile ad hoc networks (MANETs). It provides examples of smart refrigerators and cars that are connected to networks and can sense their environments. The key aspects of IoT are connecting everyday objects to collect and share data over the Internet or other networks.
Air pollution monitoring system using mobile gprs sensors array pptSaurabh Giratkar
ppt This paper contain brief introduction to vehicular pollution, effect of increase in vehicular pollution on environment as well on human health. To monitor this pollution wireless sensor network (WSN) system is proposed. The proposed system consists of a Mobile Data-Acquisition Unit (Mobile-DAQ) and a fixed Internet-Enabled Pollution Monitoring Server (Pollution-Server). The Mobile-DAQ unit integrates a single-chip microcontroller, air pollution sensors array, a General Packet Radio Service Modem (GPRS-Modem), and a Global Positioning System Module (GPS-Module). The Pollution-Server is a high-end personal computer application server with Internet connectivity. The Mobile-DAQ unit gathers air pollutants levels (CO, NO2, and SO2), and packs them in a frame with the GPS physical location, time, and date. The frame is subsequently uploaded to the GPRS-Modem and transmitted to the Pollution-Server via the public mobile network. A database server is attached to the Pollution- Server for storing the pollutants level for further usage by various clients such as environment protection agencies, vehicles registration authorities, and tourist and insurance companies.
This document outlines the key aspects of the i-Mouse project. It discusses: [1] What the i-Mouse is and its benefits; [2] The block diagram and literature survey of related concepts; [3] The existing and proposed systems including the architectural design and system requirements. The goal of the i-Mouse is to provide hands-free cursor control using eye tracking to help disabled users control a computer.
Done by Group : Diamond
School Name : Umm Hakeem Independent Secondary School for Girls.
Smart Sensors Module : Gives knowledge about smart sensors and the PVDF films through activities, experiments and projects which depend on smart sensors.
the product Idea is : The smart blind glasses have an infrared sensor , it will be used by blind people which will allow them to walk freely like any other normal person, or let’s say that they are going to walk like they actually can see.
This document describes an IOT-based garbage monitoring system that uses ultrasonic sensors attached inside dustbins to detect whether they are empty or full. The sensor data is sent to an ATmega16 microcontroller via WiFi, and the microcontroller displays the status on an LCD and sends the data to a server. The server software manages the live dustbin level monitoring data. The system is intended to help manage waste more efficiently in places like homes, offices, and colleges.
Touchless technology Seminar PresentationAparna Nk
This document discusses touchless technology that allows users to interact with screens without physically touching them. It describes a touchless monitor developed by TouchKo, White Electronics Designs, and Groupe 3D that uses sensors around the screen to detect 3D motions and interpret them as on-screen interactions. The document also mentions several other touchless technologies like the Touchless SDK, Touch Wall, eye tracking devices, gesture recognition tools, and motion sensors that enable touchless control of devices.
This document describes an IoT project using an Arduino Uno, GSM shield, and relay to remotely control a water pump via mobile phone. The system allows farmers to turn a water pump on and off from anywhere using an AT command text message to the GSM shield. Key hardware includes the Arduino for control logic, GSM shield for cellular connectivity, and relay to switch the water pump power. The system aims to help farmers remotely operate water pumps for irrigation from off-site locations using a mobile phone.
This document discusses touchscreen technology. It describes how touchscreens work using touch sensors, controllers and drivers. It then covers the main types of touchscreen technologies - resistive, capacitive and infrared. It discusses usage of touchscreens with fingers or styli. Multi-touch technology is also introduced. Advantages include ease of use and interactivity while disadvantages include potential finger stress and fingerprints on the screen. The document concludes that while touchscreens have limitations, the technology is widely accepted and continuing to improve.
A Review on Pesticide Monitoring System for Fruits and Vegetables using IoTIRJET Journal
This document reviews a pesticide monitoring system for fruits and vegetables using IoT technology. It discusses how the system uses photo-sensitive effects and IoT to non-destructively detect pesticide toxicity levels in foods. The system is designed as a portable, accurate and user-friendly mobile phone app to help consumers choose produce with high quality and safety. It also aims to accelerate digitalization and improve public health by providing information on pesticide levels. The system combines IoT and mobile technologies to analyze chemicals in foods and send results to users.
CODET: Revolutionizing how we tackle food wasteKwasiTano1
With over 1 trillion of food wasted annually, codet aims to tackle this by focusing on understanding and predicting fruit maturity to determine the shelf life and quality of the fruit.
IRJET- An Efficient System to Detect Freshness and Quality of FoodIRJET Journal
The document describes a proposed system to detect the freshness and quality of food using sensors. The system would use a hydrogen sensor, moisture sensor, and gas sensor attached to an Arduino board to measure parameters of foods like dairy products and fruits. The sensor readings would be sent to a server for analysis and compared to thresholds to determine if the food is fresh. Results would be displayed on an LCD screen as well as stored in a database. A web application would allow admin, students, and organizations to view the results and submit complaints if the system provides inaccurate results. The goal is to help ensure food safety and reduce food poisoning.
IRJET - Farmer Surveillance System with Paddy Disease DetectionIRJET Journal
This document describes a farmer surveillance system using sensors and image processing techniques to monitor fields and detect diseases in paddy crops. The system uses sensors to monitor soil moisture, temperature, and humidity and sends that data to the cloud for remote access via a web application. A camera captures images of the crop which are analyzed using deep learning algorithms like VGG16 and AlexNet to detect common rice diseases. When a disease is identified, the system recommends appropriate fertilizer treatments. The system is intended to help farmers efficiently monitor crops and address diseases early to minimize losses and reduce costs.
IRJET- Soil, Water and Air Quality Monitoring System using IoTIRJET Journal
This document summarizes a research paper on developing a soil, water, and air quality monitoring system using IoT technologies. Sensors are used to measure various parameters of soil, water, and air quality, including pH, moisture, temperature, turbidity, and nutrients. The sensor data is sent to a Raspberry Pi controller and then uploaded to the cloud. If measurements are abnormal, an alert message is sent. The system aims to help farmers and users monitor natural resource quality and make informed decisions. Future work could include using machine learning to analyze trends and make crop recommendations based on sensor readings.
This document presents a food spoilage detection system that utilizes sensors and data analysis to detect signs of food spoilage in real-time and provide alerts. The system aims to enhance food safety, cut costs by preventing food loss and spoilage, and reduce food waste by leveraging technology like sensors and machine learning. It collects data on indicators of spoilage using sensors for temperature, humidity, and other factors. Machine learning is then used to analyze the data and identify patterns that can provide early detection of spoilage. When spoilage is detected, the system provides real-time alerts to consumers or businesses.
This document describes a proposed mobile application called Kisan Seeva that aims to help farmers detect crop diseases, obtain market prices for crops, and rent farming equipment. The application uses a convolutional neural network model to identify diseases by analyzing photos of plant leaves. It also provides updated market pricing data for crops from multiple markets through an API. Additionally, the app allows farmers to rent equipment and tools as needed. The goal is to help farmers identify issues early, make informed decisions, increase crop yields and profits, and support sustainable agriculture practices through the use of technology.
Food Quality Detection And Calorie Estimation Using Machine LearningIRJET Journal
This document describes a project that aims to help non-profit organizations maintain food quality and provide balanced diets. It involves developing both hardware and software components. The hardware uses sensors like MQ3 and temperature sensors connected to an Arduino board to detect spoiled food. If spoilage is detected, a buzzer and LED lights activate. Sensor data is sent to a Blynk app. The software is a web app that estimates food calories using machine learning. Users can upload images of foods, which are classified and linked to calorie information displayed on the app. Together, the system works to ensure unspoiled food is served and balanced diets with appropriate calorie levels are provided.
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.
Fruit Disease Detection and ClassificationIRJET Journal
This document proposes and experimentally validates a solution for detecting and classifying fruit diseases from images. The proposed approach uses K-means clustering for image segmentation, extracts features from the segmented image, and classifies the images using a Support Vector Machine (SVM). The experimental results show the proposed solution can accurately detect and automatically classify fruit diseases. It is intended to help farmers identify diseases early to improve crop management and reduce economic losses from diseases.
This document proposes a soilless cultivation system using IoT. Sensors would monitor the pH level and temperature of the water in hydroponic cultivation. If the pH is unsuitable or temperature is too high/low, it would trigger a notification to the user via their Android device. This system aims to address issues with conventional agriculture like lack of land and optimize resource use by automating environmental monitoring and control with IoT sensors. The proposed system seeks to implement real-time hydroponic cultivation and provide an easy-to-use mobile app interface to improve on existing prototype systems.
AI Based Smart Agriculture – Leaf Disease Prediction Using Optimized CNN ModelIRJET Journal
This document discusses using optimized convolutional neural network (CNN) models for leaf disease prediction in smart agriculture. Sensors are used to collect environmental data from fields, and images of plant leaves are analyzed for disease identification. Three CNN methods - fast R-CNN, faster R-CNN, and Mask R-CNN - are evaluated and the best method is selected based on prediction accuracy. The optimized CNN model identifies diseases and recommends suitable pesticides, while sensor data is also used for irrigation control and crop recommendations based on soil conditions. The system aims to help farmers detect diseases early and improve crop productivity using artificial intelligence and internet of things technologies.
IoT-Based Food Tracking and Management System Employing NodeMCU and the Blynk...IRJET Journal
This document describes an IoT-based food tracking and management system that monitors temperature, humidity, and gas levels inside a food storage unit in real-time using sensors. The system utilizes a DHT11 sensor to measure temperature and humidity, an MQ4 gas sensor to detect harmful gases, a NodeMCU controller to manage the sensors, and a Blynk server and mobile app for remote monitoring. The system is designed to maintain safe storage conditions and reduce food waste through real-time monitoring and control of the storage environment. Testing showed the system can effectively monitor conditions and activate an exhaust fan when temperature exceeds thresholds to ensure food safety.
IRJET- Food(Fruit) Quality Recognition by External Appearance and Interna...IRJET Journal
This document summarizes a research paper that proposes a smart fruit grading system using computer vision and sensors to classify fruits by external appearance and internal flavor factors. The system uses a camera to capture images of fruits on a rotating desk and analyzes the images using MATLAB to detect external defects and measure features. Gas sensors are also used to estimate internal quality factors. An artificial neural network model is suggested to classify fruits based on these external and internal criteria. The goal is to develop an automated system that can grade fruits more efficiently and cost-effectively than manual labor.
Smart system monitoring on soil using internet of things (IOT)IRJET Journal
This document describes a smart system for monitoring soil conditions using sensors and the Internet of Things (IoT). Sensors placed in agricultural land would measure the soil's pH rate, temperature, and moisture levels. This data would be sent to the cloud and then relayed to registered farmers via their mobile devices. The system aims to reduce farmers' workload by automatically monitoring soil and alerting them to abnormalities. It could also recommend pesticides to improve cultivation based on pH readings. The system is designed to help farmers better manage their land even from a distance through IoT-connected soil monitoring and analytics.
IRJET - An Efficient System to Detect Freshness and Quality of FoodIRJET Journal
This document describes a proposed system to detect the freshness and quality of food using sensors. The system would use a hydrogen sensor, moisture sensor, and gas sensor attached to an Arduino board to measure parameters like pH, moisture content, and ethanol/gas levels in foods. The sensor data would be sent wirelessly to a server and compared to thresholds to determine if the food is fresh or spoiled. Results would be displayed on an LCD screen and stored in a database. A web application would allow administrators, students, and hostel organizations to view the results and submit complaints if the system provides inaccurate readings. The goal is to help ensure food safety and quality by detecting spoilage early before visual signs appear.
IRJET- Fish Feeder using Internet of ThingsIRJET Journal
This document describes a proposed fish feeder system that uses Internet of Things technology. The system aims to reduce manual work by allowing fish owners to feed their fish remotely using a mobile application. It includes modules for food storage and automatic dispensing, WiFi connectivity, a graphical user interface, and notifications. The system is designed to allow owners to monitor feeding and control the feeder remotely so that fish can be fed regularly even when owners are not home. It uses Arduino and a mobile app to connect the feeder to the Internet and provide a dashboard interface for owners to control feeding times and amounts.
IRJET - An Effective Automated Monitoring and Controlling of Poultry Farm usi...IRJET Journal
This document describes a proposed system to automate and monitor a poultry farm using IoT technology. The system would automatically control and monitor key parameters like temperature, food feeding, movement of chickens, weight of chickens, and disposal of waste. Sensors would monitor these parameters and a microcontroller would control devices like fans, food dispensers, and motors to automate tasks. Data would be sent to the cloud and alerts could be sent to farmers via a mobile app. This would help reduce labor needs, improve health and growth of chickens, and make farm management easier.
A Food Monitoring System Based on Bluetooth Low Energy and Internet of ThingsIJERA Editor
A Food Monitoring System Based on Bluetooth Low Energy(BLE) and Internet of Things(IoT)have provided a plethora of benefits to a variety of commercial industries, including the agricultural, biomedical, cosmetics, environmental, food manufacturing, military, pharmaceutical, regulatory,and various scientific research fields. In this System there exists a gas sensor which is used to detect the gases evolved from the food, temperature sensor to detect the temperature of the food storage area and the humidity sensor to check the humidity. The collected data from the test samples is transferred to the application through Bluetooth using Bluetooth Low Energy(BLE) or Internet of Things(IoT) based on the range of the server. The system uses a GSM/GPRS public wireless network for remote data transfer The combination of internet of things technology, GSM / GPRS public wireless network technology and Internet significantly reduces the cost of the system, with leading limitless scope of tracking recognition, which enhances the comprehensive performance of the system greatly.Advances have improved productattributes, uniformity, and consistency as a result of increases in quality control capabilities afforded by A Food monitoring system based on Bluetooth Low Energy(BLE) and Internet of Things of all phases of industrial manufacturing processes. This paper is a review of some of the more important and modern applications that have been of greatest benefit to the humankind
The document describes a smart farming app called Kissan Konnect that was developed to help farmers in India. The app provides several services including crop prediction based on soil and weather conditions, plant disease detection using image recognition, tool rental marketplace, weather updates, and climate information. It uses machine learning algorithms like random forest classifier to predict optimal crops and diagnose diseases by comparing uploaded photos to a database. The goal is to increase crop yields and reduce costs by helping farmers make better decisions around planting and disease management.
Similar to IOT Based Monitoring of Fruit Freshness Using Arduino Nano (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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%.
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
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.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
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.