This document summarizes literature on smart bin systems that can segregate and measure waste using machine learning. It describes various proposed frameworks that use concepts like convolutional neural networks and image augmentation to classify waste types deposited in bins. Sensors like ultrasonic and IR detectors are used to monitor waste levels and send alerts by SMS or email when bins are full. The frameworks aim to automate waste segregation and management for improved efficiency. The document reviews several past studies on implementing smart bin prototypes and their findings, including using sensors to predict future waste amounts and establish optimized collection routes.
There are many projects made by government under the smart cities and it is necessary that these systems which conflicts the smart-cities garbage systems have to be smarter. With the help of these smart cities systems, it is necessary thatpeople need easy accessibility to the garbage disposing methods as well as the collection process. It should be efficient in terms of time and fuel cost. In our propose system we are going to check garbage fill status of the dustbin by using different types of Sensor to check the status and send the message to cloud. This research paper represents to segregate Dry and Wet garbage more efficient and reliable to certain extents.
IRJET- RFID based Smart Dustbin for Smart CitiesIRJET Journal
This document describes an RFID-based smart dustbin system for waste management in smart cities. The system uses ultrasonic sensors to monitor waste levels in dustbins and RFID sensors to authenticate users and ensure dustbin security. Data from the sensors is sent to a web server via an IoT modem. When a dustbin becomes full based on ultrasonic readings, the web server notifies cleaning staff via a mobile app. This allows for automated monitoring of waste levels and scheduling of collection to improve waste management efficiency. Security is provided through RFID authentication of dustbin users. The system aims to address current issues with waste management like lack of monitoring and unsanitary practices.
Novel Methodology of Data Management in Ad Hoc Network Formulated using Nanos...Drjabez
In Ad hoc Network of Nanosensors for Wastage detection, clustering assist in nodal communication and in organization of the data fetched by the nanosensors in the network. The attempt of traditional cluster formation techniques degraded the formation of cluster in a precise manner. The data from the nanosensors which act as the nodes of the network have to be distinctively added into the clusters. The dynamic path selection cluster would achieve this distinct addition by dynamically creating a path to the data as an initial process and then redirecting the data to their appropriate cluster based to the readied scheme.
IoT: smart garbage monitoring using android and real time databaseTELKOMNIKA JOURNAL
Every single day, garbage is always produced and sometimes, due to the unbalance between high volume produced and the garbage volume transported to the landfill; it then leads to the buildup. To prevent any negative impact on environment, a system is needed to support the waste management process. Smart Garbage Monitoring System consists of two parts: portable garbage can and monitoring application using android smartphone. The use of ultrasonic sensor, GPS and GSM Module on the garbage can aims to provide the data on the garbage and send it to the real time database, in which the data will be processed by the monitoring application on smartphone to determine the time of garbage transport purposely to prevent any buildup. The system doesn't need a server to process, because the entire process of will be run by android application on a smartphone. Test results showed the capability of the system in monitoring the garbage can with the minimum distance between the wastes by three meters. The information on the height level of garbage can be synchronized in real time to smartphone, with an average delay on the EDGE network of 4.57 seconds, HSPA+ of 4.52 seconds and LTE of 3.85 seconds.
IRJET- Raspberry Pi Baesd Automated Waste Segregation SystemIRJET Journal
This document describes an automated waste segregation system using a Raspberry Pi microcontroller. The system uses sensors like an ultrasonic sensor, inductive proximity sensor, and moisture sensor to identify and sort waste into categories like wet, dry, and metallic. It aims to provide an inexpensive and easy-to-use solution for waste segregation at households to help realize the economic value of segregated waste and reduce manual labor. The system design involves a Raspberry Pi microcontroller that processes sensor input and controls a servo motor to deposit identified waste items into the appropriate collection bins.
Solid waste management is one of the major aspect which has to be considered in terms of making urban area environment healthier. The common dustbins placed by the municipal corporation are leading number of health, environmental and social issues. Various causes are like improper dustbin placement in city, improper system of collecting waste by City Corporation, and more specifically people are not aware enough to use dustbins in proper way. These various major causes are leading serious problems like, an unhygienic condition, air pollution and unhealthy environment creating health disease. Up till now, research has been carried out by developing a Software Applications for indicating dustbin status, another by shortest part method for garbage collecting vehicles by integrating RFID ,GSM, GIS system but no active efforts has been taken paying attention towards managing such waste in atomized way. Considering all these major factors, a smart solid waste management system is designed that will check status and give alert of dustbin fullness and more significantly system has a feature to literate people to use dustbin properly and to literate people to use dustbin properly and to automatically sense and clean garbage present outside the dustbin. Thus presented solution achieves smart solid waste management system. M. Ramyaa | Dr. Perarasi ""Waste Management System by Using IoT"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23479.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23479/waste-management-system-by-using-iot/m-ramyaa
This document summarizes a research paper that proposes a smart waste monitoring system using IoT. The system uses ultrasonic sensors and force sensors to measure waste levels and weight in garbage bins. When a bin is full, it sends a notification with the bin's GPS location to the relevant waste collection authority via GPRS to the Amazon cloud server. This allows for efficient collection of full bins to maintain a clean environment. The system aims to address current issues with waste management by automating monitoring and routing of collection vehicles.
IRJET- Automated Waste Monitoring and Segregation for Efficient RecyclingIRJET Journal
This document presents a system for automated waste monitoring and segregation. The system uses various sensors like a moisture sensor and ultrasonic sensors connected to an Arduino microcontroller to sort garbage into wet and dry bins. It can also monitor bin levels and send alerts via GSM when bins are full. The system aims to efficiently segregate waste at the source to facilitate recycling and reduce mixing of garbage. It provides a basic smart waste management solution that could be expanded to integrate with larger municipal systems.
There are many projects made by government under the smart cities and it is necessary that these systems which conflicts the smart-cities garbage systems have to be smarter. With the help of these smart cities systems, it is necessary thatpeople need easy accessibility to the garbage disposing methods as well as the collection process. It should be efficient in terms of time and fuel cost. In our propose system we are going to check garbage fill status of the dustbin by using different types of Sensor to check the status and send the message to cloud. This research paper represents to segregate Dry and Wet garbage more efficient and reliable to certain extents.
IRJET- RFID based Smart Dustbin for Smart CitiesIRJET Journal
This document describes an RFID-based smart dustbin system for waste management in smart cities. The system uses ultrasonic sensors to monitor waste levels in dustbins and RFID sensors to authenticate users and ensure dustbin security. Data from the sensors is sent to a web server via an IoT modem. When a dustbin becomes full based on ultrasonic readings, the web server notifies cleaning staff via a mobile app. This allows for automated monitoring of waste levels and scheduling of collection to improve waste management efficiency. Security is provided through RFID authentication of dustbin users. The system aims to address current issues with waste management like lack of monitoring and unsanitary practices.
Novel Methodology of Data Management in Ad Hoc Network Formulated using Nanos...Drjabez
In Ad hoc Network of Nanosensors for Wastage detection, clustering assist in nodal communication and in organization of the data fetched by the nanosensors in the network. The attempt of traditional cluster formation techniques degraded the formation of cluster in a precise manner. The data from the nanosensors which act as the nodes of the network have to be distinctively added into the clusters. The dynamic path selection cluster would achieve this distinct addition by dynamically creating a path to the data as an initial process and then redirecting the data to their appropriate cluster based to the readied scheme.
IoT: smart garbage monitoring using android and real time databaseTELKOMNIKA JOURNAL
Every single day, garbage is always produced and sometimes, due to the unbalance between high volume produced and the garbage volume transported to the landfill; it then leads to the buildup. To prevent any negative impact on environment, a system is needed to support the waste management process. Smart Garbage Monitoring System consists of two parts: portable garbage can and monitoring application using android smartphone. The use of ultrasonic sensor, GPS and GSM Module on the garbage can aims to provide the data on the garbage and send it to the real time database, in which the data will be processed by the monitoring application on smartphone to determine the time of garbage transport purposely to prevent any buildup. The system doesn't need a server to process, because the entire process of will be run by android application on a smartphone. Test results showed the capability of the system in monitoring the garbage can with the minimum distance between the wastes by three meters. The information on the height level of garbage can be synchronized in real time to smartphone, with an average delay on the EDGE network of 4.57 seconds, HSPA+ of 4.52 seconds and LTE of 3.85 seconds.
IRJET- Raspberry Pi Baesd Automated Waste Segregation SystemIRJET Journal
This document describes an automated waste segregation system using a Raspberry Pi microcontroller. The system uses sensors like an ultrasonic sensor, inductive proximity sensor, and moisture sensor to identify and sort waste into categories like wet, dry, and metallic. It aims to provide an inexpensive and easy-to-use solution for waste segregation at households to help realize the economic value of segregated waste and reduce manual labor. The system design involves a Raspberry Pi microcontroller that processes sensor input and controls a servo motor to deposit identified waste items into the appropriate collection bins.
Solid waste management is one of the major aspect which has to be considered in terms of making urban area environment healthier. The common dustbins placed by the municipal corporation are leading number of health, environmental and social issues. Various causes are like improper dustbin placement in city, improper system of collecting waste by City Corporation, and more specifically people are not aware enough to use dustbins in proper way. These various major causes are leading serious problems like, an unhygienic condition, air pollution and unhealthy environment creating health disease. Up till now, research has been carried out by developing a Software Applications for indicating dustbin status, another by shortest part method for garbage collecting vehicles by integrating RFID ,GSM, GIS system but no active efforts has been taken paying attention towards managing such waste in atomized way. Considering all these major factors, a smart solid waste management system is designed that will check status and give alert of dustbin fullness and more significantly system has a feature to literate people to use dustbin properly and to literate people to use dustbin properly and to automatically sense and clean garbage present outside the dustbin. Thus presented solution achieves smart solid waste management system. M. Ramyaa | Dr. Perarasi ""Waste Management System by Using IoT"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23479.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23479/waste-management-system-by-using-iot/m-ramyaa
This document summarizes a research paper that proposes a smart waste monitoring system using IoT. The system uses ultrasonic sensors and force sensors to measure waste levels and weight in garbage bins. When a bin is full, it sends a notification with the bin's GPS location to the relevant waste collection authority via GPRS to the Amazon cloud server. This allows for efficient collection of full bins to maintain a clean environment. The system aims to address current issues with waste management by automating monitoring and routing of collection vehicles.
IRJET- Automated Waste Monitoring and Segregation for Efficient RecyclingIRJET Journal
This document presents a system for automated waste monitoring and segregation. The system uses various sensors like a moisture sensor and ultrasonic sensors connected to an Arduino microcontroller to sort garbage into wet and dry bins. It can also monitor bin levels and send alerts via GSM when bins are full. The system aims to efficiently segregate waste at the source to facilitate recycling and reduce mixing of garbage. It provides a basic smart waste management solution that could be expanded to integrate with larger municipal systems.
Effective Audio Storage and Retrieval in Infrastructure less Environment over...IRJET Journal
1) The document proposes a system called SAoD for effective audio storage and retrieval in infrastructure-less wireless sensor networks.
2) SAoD uses a time-division cooperative recording technique to segment audio files into chunks stored across multiple sensors. It encodes chunk metadata into Bloom filters and replicates the filters to reduce communication costs.
3) The system estimates the network size using a gossip algorithm. This allows audio chunks to be replicated probabilistically across the network, guaranteeing high retrieval success rates with low communication overhead.
In this paper, we present a cost effective and efficient smart waste management system that acts as an easy link between the user and the authority by providing a mobile application to monitor the bin interfaced with appropriate sensors. Somy P Mathew | Lisha Tomy | Parvathi S | Reshmi Nath ""Smart Waste Management System"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23482.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23482/smart-waste-management-system/somy-p-mathew
The document summarizes a student project proposal for a "Smart Waste Management System". Key points:
- The project aims to develop an IoT-based system using sensors to monitor waste bin levels in real-time and optimize garbage collection routes.
- Sensors will detect waste levels and segregation to increase efficiency. Notifications will inform drivers which bins are full.
- This addresses issues like overflowing bins, uninformed routes wasting time/resources.
- The proposal outlines the existing system, problem statement, proposed solution, scope, architectural design, implementation tools, project plan and references.
This document proposes an Internet of Things (IoT)-enabled system to dynamically manage garbage collection and delivery to processing plants. Sensors and actuators allow for real-time monitoring of waste levels in bins to optimize collection routes and schedules. An Android app with a graphical user interface is developed to demonstrate the system. The model is tested on real waste data from St. Petersburg, Russia and shows consistency and accuracy. Proper garbage management is important as population growth increases waste. The proposed dynamic IoT system aims to address challenges through sensor data and optimized routing to improve waste collection efficiency.
Intelligent flood disaster warning on the fly: developing IoT-based managemen...journalBEEI
The number of natural disasters occurring yearly is increasing at an alarming rate which has caused a great concern over the well-being of human lives and economy sustenance. The rainfall pattern has also been affected and this has caused immense amount of flood cases in recent times. Flood disasters are damaging to economy and human lives. Yearly, millions of people are affected by floods in Asia alone. This has brought the attention of the government to develop a flood forecasting method to reduce flood casualties. In this article, a flood mitigation method will be evaluated which incorporates a miniaturized flow, water level sensor and pressure gauge. The data from the two sensors are used to predict flood status using a 2-class neural network. Real-time monitoring of the data from the sensor into Thingspeak channel were possible with the use of NodeMCU ESP8266. Furthermore, Microsoft’s Azure Machine Learning (AzureML) has built-in 2-class neural network which was used to predict flood status according to predefine rule. The prediction model has been published as Web services through AzureML service and it enables prediction as new data are available. The experimental result showed that using 3 hidden layers has the highest accuracy of 98.9% and precision of 100% when 2-class neural network
is used.
IRJET- Smart Dustbin using GPS TrackingIRJET Journal
This document describes a smart dustbin system that uses IoT technologies like GPS tracking and ultrasonic sensors. The system aims to more efficiently manage waste collection. It includes smart dustbins connected to a real-time monitoring system. Ultrasonic sensors in the dustbins measure waste levels and send this data via NodeMCU microcontrollers and GPS modules to the cloud for analysis. When a bin reaches capacity, an alert is sent to waste collectors with the bin's location from the GPS data. This allows for automated, on-demand waste collection to keep areas cleaner. The system is intended to reduce costs, waste, and human effort compared to traditional waste management methods.
Implementation of environmental monitoring based on KAA IoT platformjournalBEEI
Wireless sensor network (WSN) is a key to access the internet of things (IoT). The popularity of IoT and the prediction that there will be more devices connected to the Internet cause difficulties in integrating and making connected devices. The problem of IoT implementation are the lack of real-time data collection, processing, and the inability to provide continuous monitoring. To overcome these problems, this paper proposes an IoT device for monitoring environmental conditions through the IoT KAA platform that can be monitored anywhere and anytime in real time. The end device node consists of several sensors such as as temperature, humidity, carbon monoxide (CO) and carbon dioxide (CO2) sensors. The collected data from the end device node will be transmitted via a communication based on IEEE 802.15.4 to Raspberry Pi gateway, then sent to the KAA cloud server and saved into the database. The environmental data can be accessed via a web-based sensor application. We Analize the performance evaluation in terms of transaction, availability, data transfer, response time, transaction rate, throughput, and concurrency. The experimental result shows that the use of KAA IoT platform is better than that without platform.
IRJET - Solid Waste Monitoring using IoTIRJET Journal
This document describes a smart waste management system using IoT and cloud computing. An ultrasonic sensor and gas sensor are placed in smart waste bins to detect waste levels and harmful gases. This data is sent to a cloud platform called Thingspeak via an Arduino board and Ethernet shield. The data is analyzed and visualized on Thingspeak. A mobile app allows citizens to view waste bin statuses in real-time. When bins are full, the system notifies municipal authorities to improve waste collection efficiency and reduce environmental impacts from overflowing waste. The system aims to remotely monitor waste levels, detect gases, and alert authorities to prioritize emptying full bins.
A Predetermined Position-Wise Node Deployment for Optimizing Lifetime in Visu...IRJET Journal
This document proposes a node deployment strategy for optimizing the lifetime of a visual sensor network (VSN). It aims to balance energy usage across nodes by considering factors like Rayleigh fading and routing. The strategy involves predetermined placement of heterogeneous sensor nodes based on their energy levels. Simulation results show the strategy improves network lifetime by balancing energy usage while still achieving energy transmission goals, compared to previous approaches. Key contributions are developing a location-aware deployment method and evaluating it through simulation to validate it enhances network lifetime.
IRJET- Smart Waste Segregator and Monitoring SystemIRJET Journal
This document describes a smart waste segregator and monitoring system that was developed. The system uses ultrasonic sensors placed over garbage bins to detect garbage levels and compare it to bin depths. An Arduino microcontroller, LCD screen, WiFi modem, and buzzer are used. The LCD screen displays bin levels and a web page shows status to users monitoring it. This system provides automatic waste segregation to reduce manual sorting efforts and notifies users when bins are full through an alert system. It was found to work as designed after implementation and testing. Future work includes large scale implementation and improving collection efficiency based on bin status.
This document describes a proposed smart waste management system for industries using IoT technologies. The system uses sensors embedded in trash cans to detect fill levels and transmit that data over the internet. The trash can location and fill level data is processed using algorithms to dynamically and efficiently manage waste collection routes. The goals of the system are to minimize environmental impact, maximize resource recovery, reduce collection costs, and make the waste management process more efficient. It proposes using technologies like ultrasonic sensors, Arduino, wireless networks, and algorithms like shortest path and k-means clustering to detect trash can fill levels, locate cans, and optimize waste collection routes.
Complexity Neural Networks for Estimating Flood Process in Internet-of-Things...Dr. Amarjeet Singh
With the advancement of the Internet of Things (IoT)-based water conservation computerization, hydrological data is increasingly enriched. Considering the ability of deep learning on complex features extraction, we proposed a flood process forecastin gmodel based on Convolution Neural Network(CNN) with two-dimension(2D) convolutional operation. At first, we imported the spatial-temporal rainfall features of the Xixian basin. Subsequently, extensive experiments were carried out to determine the optimal hyperparameters of the proposed CNN flood forecasting model.
An Efficient Smart Garbage Disposal System - A Reviewijtsrd
In the recent decades, Urbanization has increased tremendously. At the same phase there is an increase in waste production. Waste management has been a crucial issue to be considered. This review paper is a way to achieve this good cause. In this review paper, smart bin is built on a microcontroller based platform. Microcontroller would be programmed in such a way that it could control the operations of servo doors. This microcontroller would control all three components of our project. The basic idea of our project is the van could move around area given to it. The van is basically a line following robot which would stop at certain intervals below the container, the container would drop off the garbage into the van. The van would go to next station and drop the garbage into the dumping pit. Once these smart bins are implemented on a large scale, by replacing our traditional bins present today, waste can be managed efficiently as it avoids unnecessary lumping of wastes on roadside .Foul smell from these rotten wastes that remain untreated for a long time, due to negligence of authorities and carelessness of public may lead to long term problems. Breeding of insects and mosquitoes can create nuisance around promoting unclean environment. This may even cause dreadful diseases. Abhijeet Gothankar | Shubham Katkar | Swapnatej Pawar | Tejaskumar Dhalmare | Suhasini Goilkar"An Efficient Smart Garbage Disposal System - A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd9605.pdf http://www.ijtsrd.com/engineering/mechanical-engineering/9605/an-efficient-smart-garbage-disposal-system---a-review/abhijeet-gothankar
Sensors Scheduling in Wireless Sensor Networks: An Assessmentijtsrd
The wireless sensor networks WSN is a combination of a large number of low power, short lived, unreliable sensors. The main challenge of wireless sensor network is to obtain long system lifetime. Many node scheduling algorithms are used to solve this problem. This method can be divided into the following two major categories first is round based node scheduling and second is group based node scheduling. In this paper many node scheduling algorithm like one phase decomposition model, Tree Based distributed wake up scheduling and Clique based node scheduling Algorithm are analyzed. Manju Ghorse | Dr. Avinash Sharma "Sensors Scheduling in Wireless Sensor Networks: An Assessment" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29560.pdfPaper URL: https://www.ijtsrd.com/computer-science/computer-network/29560/sensors-scheduling-in-wireless-sensor-networks-an-assessment/manju-ghorse
IRJET- IoT based Industrial Pollution MonitoringIRJET Journal
This document describes an Internet of Things (IoT)-based system for real-time industrial pollution monitoring of water and air. The system uses several sensors connected to a Renesas microcontroller to measure water quality parameters like pH, temperature, and turbidity, as well as air pollutants like carbon dioxide and harmful gases. The sensor values are sent to the cloud for storage and viewing over the internet. The system is designed to detect harmful gas levels and water pH and alert consumers about pollution levels in order to ensure water and air quality are safely monitored.
IRJET- Smart City Waste Management System using IoT ServerIRJET Journal
The document proposes a smart waste management system using IoT for a city. Sensors would be placed in trash cans to detect when they are full. This information would be sent over the internet to a server. The server would then notify the proper authorities and provide the location of full trash cans so they can be emptied efficiently to improve waste collection and reduce health and environmental issues. The system aims to automate waste collection scheduling and routing to enhance current waste management.
This document describes a smart waste monitoring system that uses sensors and wireless communication to automatically monitor waste levels in garbage bins. An ultrasonic sensor is mounted on top of the bin to measure the distance from the sensor to the top of the waste. A microcontroller processes the sensor data and sends alerts via cloud server when the waste level reaches a threshold. The system aims to improve waste management efficiency by alerting collectors only when bins need emptying, reducing overflow and improving sanitation. Real-time monitoring of waste levels is provided through a web application, allowing waste collection to be optimized. The smart bins are a proposed solution for efficient waste handling in urban and "smart cities".
IRJET- IoT based Smart Garbage Management –Optimal Route SearchIRJET Journal
This document discusses algorithms for optimizing garbage collection routes in smart cities. It first describes a smart garbage bin system using sensors to monitor fill levels and send data via GSM to schedule collection. It then compares algorithms like nearest neighbor, sweep, and TSP solver to generate the shortest routes for garbage trucks. The methodology collects data on bins, creates matrices for distance and savings, then uses savings to iteratively add links to routes until completing collections while minimizing distance and time traveled. Evaluating these algorithms can help waste management optimize resource allocation and collection efficiency in smart garbage management systems.
This document describes a smart waste management system that uses image recognition and sensors to automatically sort waste. A Raspberry Pi equipped with a camera captures images of waste on a conveyor belt. Using a TensorFlow model, the Pi identifies the waste type and whether it is wet or dry. A moisture sensor also detects if waste is wet. Then servo motors turn flaps to dump the waste into the appropriate bin for solid or wet waste. This automated system aims to improve waste sorting efficiency and reduce labor costs compared to conventional waste management. It is an example of applying internet of things and machine learning concepts to develop a smart waste sorting solution.
This document describes a smart dustbin monitoring system that uses sensors and a microcontroller to monitor waste levels and conditions in trash bins. Moisture and infrared sensors attached to dustbins can detect whether waste is wet or dry, and measure waste volume. The microcontroller sends this data via an app to notify authorities when bins are full. Implementing this system widely could help manage waste more efficiently and prevent health issues from overflowing or untreated trash. The document provides background on waste management challenges and reviews several related works using sensors and IoT technologies to monitor trash bins and automate waste collection.
IRJET - Smart Garbage Monitoring System using NodeMCUIRJET Journal
This document describes a smart garbage monitoring system using NodeMCU. The system monitors garbage levels in bins using ultrasonic sensors connected to a NodeMCU microcontroller. It transmits bin fill levels over WiFi to a website. When bins reach capacity, authorities can empty them. This automated system addresses issues with manual garbage collection by providing real-time bin monitoring to promote cleanliness and public health.
Design of IOT Garbage Monitoring with Weight SensingIRJET Journal
This document summarizes a research paper that designed an IoT-based garbage monitoring system using weight and ultrasonic sensors. The system senses the fill level and weight of garbage bins and sends this data over WiFi. This allows authorities to know when bins are full based on either the detected fill level or reached weight threshold. Using both sensors provides more accurate monitoring compared to only using one sensor. The system uses a node microcontroller, LCD screen, and WiFi modem. It aims to improve garbage management efficiency by automatically informing authorities when bins need to be emptied.
Effective Audio Storage and Retrieval in Infrastructure less Environment over...IRJET Journal
1) The document proposes a system called SAoD for effective audio storage and retrieval in infrastructure-less wireless sensor networks.
2) SAoD uses a time-division cooperative recording technique to segment audio files into chunks stored across multiple sensors. It encodes chunk metadata into Bloom filters and replicates the filters to reduce communication costs.
3) The system estimates the network size using a gossip algorithm. This allows audio chunks to be replicated probabilistically across the network, guaranteeing high retrieval success rates with low communication overhead.
In this paper, we present a cost effective and efficient smart waste management system that acts as an easy link between the user and the authority by providing a mobile application to monitor the bin interfaced with appropriate sensors. Somy P Mathew | Lisha Tomy | Parvathi S | Reshmi Nath ""Smart Waste Management System"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23482.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23482/smart-waste-management-system/somy-p-mathew
The document summarizes a student project proposal for a "Smart Waste Management System". Key points:
- The project aims to develop an IoT-based system using sensors to monitor waste bin levels in real-time and optimize garbage collection routes.
- Sensors will detect waste levels and segregation to increase efficiency. Notifications will inform drivers which bins are full.
- This addresses issues like overflowing bins, uninformed routes wasting time/resources.
- The proposal outlines the existing system, problem statement, proposed solution, scope, architectural design, implementation tools, project plan and references.
This document proposes an Internet of Things (IoT)-enabled system to dynamically manage garbage collection and delivery to processing plants. Sensors and actuators allow for real-time monitoring of waste levels in bins to optimize collection routes and schedules. An Android app with a graphical user interface is developed to demonstrate the system. The model is tested on real waste data from St. Petersburg, Russia and shows consistency and accuracy. Proper garbage management is important as population growth increases waste. The proposed dynamic IoT system aims to address challenges through sensor data and optimized routing to improve waste collection efficiency.
Intelligent flood disaster warning on the fly: developing IoT-based managemen...journalBEEI
The number of natural disasters occurring yearly is increasing at an alarming rate which has caused a great concern over the well-being of human lives and economy sustenance. The rainfall pattern has also been affected and this has caused immense amount of flood cases in recent times. Flood disasters are damaging to economy and human lives. Yearly, millions of people are affected by floods in Asia alone. This has brought the attention of the government to develop a flood forecasting method to reduce flood casualties. In this article, a flood mitigation method will be evaluated which incorporates a miniaturized flow, water level sensor and pressure gauge. The data from the two sensors are used to predict flood status using a 2-class neural network. Real-time monitoring of the data from the sensor into Thingspeak channel were possible with the use of NodeMCU ESP8266. Furthermore, Microsoft’s Azure Machine Learning (AzureML) has built-in 2-class neural network which was used to predict flood status according to predefine rule. The prediction model has been published as Web services through AzureML service and it enables prediction as new data are available. The experimental result showed that using 3 hidden layers has the highest accuracy of 98.9% and precision of 100% when 2-class neural network
is used.
IRJET- Smart Dustbin using GPS TrackingIRJET Journal
This document describes a smart dustbin system that uses IoT technologies like GPS tracking and ultrasonic sensors. The system aims to more efficiently manage waste collection. It includes smart dustbins connected to a real-time monitoring system. Ultrasonic sensors in the dustbins measure waste levels and send this data via NodeMCU microcontrollers and GPS modules to the cloud for analysis. When a bin reaches capacity, an alert is sent to waste collectors with the bin's location from the GPS data. This allows for automated, on-demand waste collection to keep areas cleaner. The system is intended to reduce costs, waste, and human effort compared to traditional waste management methods.
Implementation of environmental monitoring based on KAA IoT platformjournalBEEI
Wireless sensor network (WSN) is a key to access the internet of things (IoT). The popularity of IoT and the prediction that there will be more devices connected to the Internet cause difficulties in integrating and making connected devices. The problem of IoT implementation are the lack of real-time data collection, processing, and the inability to provide continuous monitoring. To overcome these problems, this paper proposes an IoT device for monitoring environmental conditions through the IoT KAA platform that can be monitored anywhere and anytime in real time. The end device node consists of several sensors such as as temperature, humidity, carbon monoxide (CO) and carbon dioxide (CO2) sensors. The collected data from the end device node will be transmitted via a communication based on IEEE 802.15.4 to Raspberry Pi gateway, then sent to the KAA cloud server and saved into the database. The environmental data can be accessed via a web-based sensor application. We Analize the performance evaluation in terms of transaction, availability, data transfer, response time, transaction rate, throughput, and concurrency. The experimental result shows that the use of KAA IoT platform is better than that without platform.
IRJET - Solid Waste Monitoring using IoTIRJET Journal
This document describes a smart waste management system using IoT and cloud computing. An ultrasonic sensor and gas sensor are placed in smart waste bins to detect waste levels and harmful gases. This data is sent to a cloud platform called Thingspeak via an Arduino board and Ethernet shield. The data is analyzed and visualized on Thingspeak. A mobile app allows citizens to view waste bin statuses in real-time. When bins are full, the system notifies municipal authorities to improve waste collection efficiency and reduce environmental impacts from overflowing waste. The system aims to remotely monitor waste levels, detect gases, and alert authorities to prioritize emptying full bins.
A Predetermined Position-Wise Node Deployment for Optimizing Lifetime in Visu...IRJET Journal
This document proposes a node deployment strategy for optimizing the lifetime of a visual sensor network (VSN). It aims to balance energy usage across nodes by considering factors like Rayleigh fading and routing. The strategy involves predetermined placement of heterogeneous sensor nodes based on their energy levels. Simulation results show the strategy improves network lifetime by balancing energy usage while still achieving energy transmission goals, compared to previous approaches. Key contributions are developing a location-aware deployment method and evaluating it through simulation to validate it enhances network lifetime.
IRJET- Smart Waste Segregator and Monitoring SystemIRJET Journal
This document describes a smart waste segregator and monitoring system that was developed. The system uses ultrasonic sensors placed over garbage bins to detect garbage levels and compare it to bin depths. An Arduino microcontroller, LCD screen, WiFi modem, and buzzer are used. The LCD screen displays bin levels and a web page shows status to users monitoring it. This system provides automatic waste segregation to reduce manual sorting efforts and notifies users when bins are full through an alert system. It was found to work as designed after implementation and testing. Future work includes large scale implementation and improving collection efficiency based on bin status.
This document describes a proposed smart waste management system for industries using IoT technologies. The system uses sensors embedded in trash cans to detect fill levels and transmit that data over the internet. The trash can location and fill level data is processed using algorithms to dynamically and efficiently manage waste collection routes. The goals of the system are to minimize environmental impact, maximize resource recovery, reduce collection costs, and make the waste management process more efficient. It proposes using technologies like ultrasonic sensors, Arduino, wireless networks, and algorithms like shortest path and k-means clustering to detect trash can fill levels, locate cans, and optimize waste collection routes.
Complexity Neural Networks for Estimating Flood Process in Internet-of-Things...Dr. Amarjeet Singh
With the advancement of the Internet of Things (IoT)-based water conservation computerization, hydrological data is increasingly enriched. Considering the ability of deep learning on complex features extraction, we proposed a flood process forecastin gmodel based on Convolution Neural Network(CNN) with two-dimension(2D) convolutional operation. At first, we imported the spatial-temporal rainfall features of the Xixian basin. Subsequently, extensive experiments were carried out to determine the optimal hyperparameters of the proposed CNN flood forecasting model.
An Efficient Smart Garbage Disposal System - A Reviewijtsrd
In the recent decades, Urbanization has increased tremendously. At the same phase there is an increase in waste production. Waste management has been a crucial issue to be considered. This review paper is a way to achieve this good cause. In this review paper, smart bin is built on a microcontroller based platform. Microcontroller would be programmed in such a way that it could control the operations of servo doors. This microcontroller would control all three components of our project. The basic idea of our project is the van could move around area given to it. The van is basically a line following robot which would stop at certain intervals below the container, the container would drop off the garbage into the van. The van would go to next station and drop the garbage into the dumping pit. Once these smart bins are implemented on a large scale, by replacing our traditional bins present today, waste can be managed efficiently as it avoids unnecessary lumping of wastes on roadside .Foul smell from these rotten wastes that remain untreated for a long time, due to negligence of authorities and carelessness of public may lead to long term problems. Breeding of insects and mosquitoes can create nuisance around promoting unclean environment. This may even cause dreadful diseases. Abhijeet Gothankar | Shubham Katkar | Swapnatej Pawar | Tejaskumar Dhalmare | Suhasini Goilkar"An Efficient Smart Garbage Disposal System - A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd9605.pdf http://www.ijtsrd.com/engineering/mechanical-engineering/9605/an-efficient-smart-garbage-disposal-system---a-review/abhijeet-gothankar
Sensors Scheduling in Wireless Sensor Networks: An Assessmentijtsrd
The wireless sensor networks WSN is a combination of a large number of low power, short lived, unreliable sensors. The main challenge of wireless sensor network is to obtain long system lifetime. Many node scheduling algorithms are used to solve this problem. This method can be divided into the following two major categories first is round based node scheduling and second is group based node scheduling. In this paper many node scheduling algorithm like one phase decomposition model, Tree Based distributed wake up scheduling and Clique based node scheduling Algorithm are analyzed. Manju Ghorse | Dr. Avinash Sharma "Sensors Scheduling in Wireless Sensor Networks: An Assessment" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29560.pdfPaper URL: https://www.ijtsrd.com/computer-science/computer-network/29560/sensors-scheduling-in-wireless-sensor-networks-an-assessment/manju-ghorse
IRJET- IoT based Industrial Pollution MonitoringIRJET Journal
This document describes an Internet of Things (IoT)-based system for real-time industrial pollution monitoring of water and air. The system uses several sensors connected to a Renesas microcontroller to measure water quality parameters like pH, temperature, and turbidity, as well as air pollutants like carbon dioxide and harmful gases. The sensor values are sent to the cloud for storage and viewing over the internet. The system is designed to detect harmful gas levels and water pH and alert consumers about pollution levels in order to ensure water and air quality are safely monitored.
IRJET- Smart City Waste Management System using IoT ServerIRJET Journal
The document proposes a smart waste management system using IoT for a city. Sensors would be placed in trash cans to detect when they are full. This information would be sent over the internet to a server. The server would then notify the proper authorities and provide the location of full trash cans so they can be emptied efficiently to improve waste collection and reduce health and environmental issues. The system aims to automate waste collection scheduling and routing to enhance current waste management.
This document describes a smart waste monitoring system that uses sensors and wireless communication to automatically monitor waste levels in garbage bins. An ultrasonic sensor is mounted on top of the bin to measure the distance from the sensor to the top of the waste. A microcontroller processes the sensor data and sends alerts via cloud server when the waste level reaches a threshold. The system aims to improve waste management efficiency by alerting collectors only when bins need emptying, reducing overflow and improving sanitation. Real-time monitoring of waste levels is provided through a web application, allowing waste collection to be optimized. The smart bins are a proposed solution for efficient waste handling in urban and "smart cities".
IRJET- IoT based Smart Garbage Management –Optimal Route SearchIRJET Journal
This document discusses algorithms for optimizing garbage collection routes in smart cities. It first describes a smart garbage bin system using sensors to monitor fill levels and send data via GSM to schedule collection. It then compares algorithms like nearest neighbor, sweep, and TSP solver to generate the shortest routes for garbage trucks. The methodology collects data on bins, creates matrices for distance and savings, then uses savings to iteratively add links to routes until completing collections while minimizing distance and time traveled. Evaluating these algorithms can help waste management optimize resource allocation and collection efficiency in smart garbage management systems.
This document describes a smart waste management system that uses image recognition and sensors to automatically sort waste. A Raspberry Pi equipped with a camera captures images of waste on a conveyor belt. Using a TensorFlow model, the Pi identifies the waste type and whether it is wet or dry. A moisture sensor also detects if waste is wet. Then servo motors turn flaps to dump the waste into the appropriate bin for solid or wet waste. This automated system aims to improve waste sorting efficiency and reduce labor costs compared to conventional waste management. It is an example of applying internet of things and machine learning concepts to develop a smart waste sorting solution.
This document describes a smart dustbin monitoring system that uses sensors and a microcontroller to monitor waste levels and conditions in trash bins. Moisture and infrared sensors attached to dustbins can detect whether waste is wet or dry, and measure waste volume. The microcontroller sends this data via an app to notify authorities when bins are full. Implementing this system widely could help manage waste more efficiently and prevent health issues from overflowing or untreated trash. The document provides background on waste management challenges and reviews several related works using sensors and IoT technologies to monitor trash bins and automate waste collection.
IRJET - Smart Garbage Monitoring System using NodeMCUIRJET Journal
This document describes a smart garbage monitoring system using NodeMCU. The system monitors garbage levels in bins using ultrasonic sensors connected to a NodeMCU microcontroller. It transmits bin fill levels over WiFi to a website. When bins reach capacity, authorities can empty them. This automated system addresses issues with manual garbage collection by providing real-time bin monitoring to promote cleanliness and public health.
Design of IOT Garbage Monitoring with Weight SensingIRJET Journal
This document summarizes a research paper that designed an IoT-based garbage monitoring system using weight and ultrasonic sensors. The system senses the fill level and weight of garbage bins and sends this data over WiFi. This allows authorities to know when bins are full based on either the detected fill level or reached weight threshold. Using both sensors provides more accurate monitoring compared to only using one sensor. The system uses a node microcontroller, LCD screen, and WiFi modem. It aims to improve garbage management efficiency by automatically informing authorities when bins need to be emptied.
IRJET- IoT based Connected Dustbins for Waste Management in Commercial PlacesIRJET Journal
This document proposes an IoT-based smart waste management system for commercial places using connected dustbins. Key points:
1. The system uses ultrasonic sensors in dustbins to detect waste levels, microcontrollers to transmit data wirelessly, and an anti-theft system to detect bin movement.
2. Data on bin location, fill level, and cleaning history is sent to a cloud database and displayed in a mobile app.
3. The app helps maintenance crews focus only on full bins, and the system sends alerts when bins need urgent emptying or have been moved.
4. The proposed system aims to streamline waste collection and prevent unnecessary bin checks compared to manual inspection methods.
This document summarizes several research papers on automated waste management systems. It begins by outlining some key issues with current waste collection practices, including the large amount of waste generated globally and lack of access to regular trash collection in many areas. It then summarizes 6 research papers on different automated waste segregation and monitoring systems that use technologies like sensors, microcontrollers, GPS, and IoT. It identifies some limitations or gaps in these systems, such as sensor accuracy issues, short wireless range, reliance on networks, and human intervention still required for segregation. Finally, it describes the overall design of the Automated Waste Segregator system presented in the paper, which aims to provide a more efficient solution to waste management.
This document describes a smart dustbin system that uses an ultrasonic sensor and Arduino microcontroller to detect waste levels in garbage bins. When the bin reaches a threshold level of fullness, it sends a message to the municipality to alert them for garbage collection. It discusses the issues with overflowing bins currently and how this system aims to address that. It also reviews several related works that use sensors and IoT to monitor waste levels and communicate with authorities. The proposed system architecture uses an ultrasonic sensor connected to an Arduino board to measure levels and send data to a GSM module to message the municipality when the threshold is reached. This is aimed to improve waste management and promote a cleaner environment.
The govt. of India has launched various smart city projects and for these cities to be smarter it is necessary that the system which collects the garbage has to be smarter. In addition to that it is necessary that people need easy accessibility to the garbage disposing points as well as the garbage collection process. It has to be efficient in terms of time and fuel cost. Most of the urban cities and town in India are not well designed to facilitate the proper garbage disposing and collection mechanism. Also there are cities which are expanding rapidly and are putting the pressure on the current infrastructure which is not developing at the same pace as that of the current urbanization. In our propose system we are going to check garbage fill status of the dustbin by using Ultrasonic Sensor, Buzzer, Arduino Board, Moisture Sensor, Wifi Model this will check the status and send the message to cloud that Dustbin is full, then message is sent to collection van through Wifi Module then garbage collection is done, if the Dustbin is not cleaned in paticular time we will send message to higher authority and they will take approprite action on it.Our proposed system is going to segregate Dry and Wet garbage. Therefore, the Automatic Garbage Fill Alerting system makes the garbage collection more efficient, which will ultimately make our dustbins and also cities smart at the same time. Dhaval Patel | Aditya Kulkarni | Hrushikesh Udar | Sachin Sharma ""Smart Dustbins for Smart Cities"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22993.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/22993/smart-dustbins-for-smart-cities/dhaval-patel
IRJET- LORA based Solid Waste ManagementIRJET Journal
This document describes a proposed smart waste management system using LORA technology for communication. Key features include smart bins fitted with sensors to detect waste levels and conditions. The bin data is transmitted via LORA modules to a gateway and then to the cloud for storage and analysis. This allows waste collection trucks to be routed efficiently based on real-time bin levels. An Android app and web server interface provide access to the bin data for users, collectors and administrators. The goal is to improve waste collection efficiency while gaining insights into waste production patterns.
This document describes a smart dustbin system that uses ultrasonic sensors and a GSM module connected to an Arduino Uno microcontroller board. The ultrasonic sensor measures the garbage level in the dustbin and sends this information to the Arduino. When the dustbin becomes full, the Arduino instructs the GSM module to send an SMS alert with the dustbin ID to a predefined phone number. This alerts sanitation workers that the dustbin needs to be emptied. The system aims to help manage waste more efficiently and keep areas cleaner.
IOT BASED TOOL GARBAGE MONITORING SYSTEMIRJET Journal
This document proposes an IOT-based tool garbage monitoring system. It uses ultrasonic sensors, an Arduino microcontroller, WiFi module and GPS to monitor waste bins and send alerts when bins are full. The system measures garbage levels in bins and sends the data via WiFi to a web page. When a bin reaches capacity, it activates a buzzer and sends a notification to authorities for collection. This automatic monitoring system aims to improve waste management efficiency and keep cities cleaner.
IRJET- Surveillance of Object Motion Detection and Caution System using B...IRJET Journal
This document describes a proposed surveillance system using a block matching algorithm for motion detection. The system would use IP cameras to stream video that is monitored for unauthorized activity. Motion detection is performed by comparing frames using the block matching algorithm to detect changes in pixel intensity values, which would trigger an alarm. The block matching algorithm divides frames into blocks of pixels and validates the maximum and minimum intensity of each pixel. Comparing blocks between frames identifies motion if intensity values change beyond a threshold. If motion is detected in a designated sensitive area, the system saves the video and sends alerts by email and mobile notification to users.
This document describes an IoT-enabled smart waste management system. It discusses the drawbacks of traditional waste collection methods like lack of real-time information and inefficient routing. The proposed system uses ultrasonic sensors in smart bins to monitor fill levels and send data to a controller via WiFi. When bins pass a threshold, notifications are sent to cleaning crews. This allows for optimized collection routes and schedules. The system aims to improve efficiency, reduce costs and fuel consumption, and create a cleaner environment.
IRJET- Smart Dustbin Container using IoT NotificationIRJET Journal
This document describes a smart dustbin system that uses IoT technology to notify the proper authorities when garbage bins are nearly full. An ultrasonic sensor detects the fill level of the dustbin and an ESP8266 WiFi module sends this data via the internet. When a bin reaches 70% capacity, an SMS alert is sent using a GSM module. This helps waste collection trucks only service bins that need emptying, saving time, fuel and reducing pollution. The system aims to improve waste management and support initiatives for smart cities.
IoT Based Smart Trash Bins – A Step Toward Smart CityIRJET Journal
This document describes a smart trash bin system that uses IoT technology for waste management. The system uses ultrasonic sensors connected to an Arduino microcontroller to detect when trash bins are 90% full. It then sends an alert via WiFi and the IoT to a municipal web server. This notifies municipal workers to empty the bins. The goals are to optimize waste collection, reduce costs and pollution from unnecessary bin emptying, and provide real-time monitoring of waste levels. It is part of creating smarter waste management for the city of Hubli, India as the population grows and waste problems increase.
IRJET- Waste Management System based on IoTIRJET Journal
This document proposes a smart waste management system using IoT technologies like ultrasonic sensors, Arduino, and WiFi modules. The system aims to address the problem of overflowing public garbage bins by automatically detecting the fill level using ultrasonic sensors and alerting municipal authorities. When a bin is filled beyond a threshold, a message is sent to a municipal web server via WiFi so workers can quickly empty it. RFID tags are also used for verification after emptying. The system is intended to improve waste collection efficiency and allow remote monitoring of the cleaning process from an Android app. It provides real-time status updates to help authorities better manage waste disposal.
IRJET- Smart Garbage Monitoring System using IoTIRJET Journal
This document proposes a smart garbage collection system using IoT to efficiently collect garbage from apartments and housing societies. The system uses GSM and GPS modules mounted on garbage collection vehicles. As the vehicle approaches a new area, an SMS is sent to residents informing them of the vehicle's impending arrival. This allows residents time to gather their garbage for collection, avoiding irresponsible dumping. The system aims to establish a regular collection schedule and route planning to properly manage waste.
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STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
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A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
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A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
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Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
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Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
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A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
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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
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A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
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Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
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Review on studies and research on widening of existing concrete bridgesIRJET Journal
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React based fullstack edtech web applicationIRJET Journal
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A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
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A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
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Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
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Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
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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.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
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.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
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Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
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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
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