This document discusses using drones to inspect industrial components and structures. It provides guidelines for carrying out drone-supported surveys, including choosing drones and sensors, flight planning, and risk assessment. Drones can be equipped with cameras, thermal sensors, and other devices to inspect equipment, pipelines, solar panels, buildings, and more. Regulations divide drones into classes based on weight, and pilots require certifications. Future regulations in Europe may create a single drone category and adjust certification requirements. Inspections allow evaluating assets without direct contact or safety equipment and can reduce time and costs compared to traditional methods.
This document provides an overview of modern survey instruments, including laser levels, digital levels, total stations, GNSS/GPS systems, and laser scanners. It lists the components and purposes of these instruments, such as electronic theodolites, EDM units, data collectors, and prisms for total stations. Ranges for total stations are given as up to 5400m. Leica systems such as the GPS500, GPS900, GPS1200 and GNSS Viva are also mentioned.
Critical Infrastructure Monitoring Using UAV Imageryaditess
The use of two rapidly evolving approaches, the Unmanned Aerial Vehicles (UAVs) and Dense Image Matching (DIM) techniques is an attractive solution to extract high quality photogrammetric products like 3D point clouds and orthoimages.
The landslide consists of rock wedge threatening two roads which are important for local
transportation. The present work encompasses all the components of an early warning system, including
the geological knowledge, the risk scenarios, the kinematic characterization of the landslide, the choice and
installation of the monitoring system, the setting of appropriate alarm levels and the definition of plans of
civil protection. The focus is on practical and logistical issues met in all these phases and the countermeasures adopted. At present the system consists in 13 wire extensometers, 1 thermometer, 1 rain gauge
and 3 cameras. Should a velocity threshold be exceeded by two or more sensors, the attention level would be
entered, causing improved monitoring and surveillance. In case the behaviour of the landslide changes and,
by using expert judgment and forecasting methods, an imminent failure is hinted, then an alarm is issued
and the upper road is closed.
Photogrammetry for Architecture and ConstructionDat Lien
The document discusses photogrammetry workflows for capturing exterior and interior architectural spaces. It covers topics such as photogrammetry basics, data capture including vehicle payloads and mission planning, data processing software options, and output formats including point clouds, 3D meshes, and methods for integrating the data into BIM platforms. Sample projects demonstrate the process and potential applications like clash detection and virtual tours are presented.
Real-Time Map Building using Ultrasound ScanningIRJET Journal
This document describes a device that uses an ultrasonic sensor to build maps of environments in real-time. The device scans the sensor across a 180 degree range to collect distance data points and generates a 2D map visualization. It is intended to enable robots to autonomously map and navigate environments. The device was able to generate basic maps of test environments but had some inaccuracies, depicting flat surfaces as arcs rather than straight lines due to the wide beam of the ultrasonic sensor. Improving the sensor resolution could help address these inaccuracies. The real-time mapping ability, low cost, and small size make the device suitable for mobile robot applications.
Experience on using total station surveying for mapping and contouringIAEME Publication
This document describes the experience of using a total station to map and create contours of a large university campus. Key points:
- A total station was used to efficiently collect planimetric and elevation data across the 1.5km x 2.5km campus to update existing inaccurate maps.
- Over 700-1000 points per day could be collected using one or more prisms simultaneously. Precise procedures were developed to quickly collect data for both mapping and contouring.
- In the office, data files from each instrument setup were processed individually in Excel and drawn in AutoCAD. Files were then combined and aligned to create a unified campus map and contour lines.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Waypoint Flight Parameter Comparison of an Autonomous Uavijaia
The present paper compares the effect of different waypoint parameters on the flight performance of a
special autonomous indoor UAV (unmanned aerial vehicle) fusing ultrasonic, inertial, pressure and optical
sensors for 3D positioning and controlling. The investigated parameters are the acceptance threshold for
reaching a waypoint as well as the maximal waypoint step size or block size. The effect of these parameters
on the flight time and accuracy of the flight path is investigated. Therefore the paper addresses how the
acceptance threshold and step size influence the speed and accuracy of the autonomous flight and thus
influence the performance of the presented autonomous quadrocopter under real indoor navigation
circumstances. Furthermore the paper demonstrates a drawback of the standard potential field method for
navigation of such autonomous quadrocopters and points to an improvement
This document provides an overview of modern survey instruments, including laser levels, digital levels, total stations, GNSS/GPS systems, and laser scanners. It lists the components and purposes of these instruments, such as electronic theodolites, EDM units, data collectors, and prisms for total stations. Ranges for total stations are given as up to 5400m. Leica systems such as the GPS500, GPS900, GPS1200 and GNSS Viva are also mentioned.
Critical Infrastructure Monitoring Using UAV Imageryaditess
The use of two rapidly evolving approaches, the Unmanned Aerial Vehicles (UAVs) and Dense Image Matching (DIM) techniques is an attractive solution to extract high quality photogrammetric products like 3D point clouds and orthoimages.
The landslide consists of rock wedge threatening two roads which are important for local
transportation. The present work encompasses all the components of an early warning system, including
the geological knowledge, the risk scenarios, the kinematic characterization of the landslide, the choice and
installation of the monitoring system, the setting of appropriate alarm levels and the definition of plans of
civil protection. The focus is on practical and logistical issues met in all these phases and the countermeasures adopted. At present the system consists in 13 wire extensometers, 1 thermometer, 1 rain gauge
and 3 cameras. Should a velocity threshold be exceeded by two or more sensors, the attention level would be
entered, causing improved monitoring and surveillance. In case the behaviour of the landslide changes and,
by using expert judgment and forecasting methods, an imminent failure is hinted, then an alarm is issued
and the upper road is closed.
Photogrammetry for Architecture and ConstructionDat Lien
The document discusses photogrammetry workflows for capturing exterior and interior architectural spaces. It covers topics such as photogrammetry basics, data capture including vehicle payloads and mission planning, data processing software options, and output formats including point clouds, 3D meshes, and methods for integrating the data into BIM platforms. Sample projects demonstrate the process and potential applications like clash detection and virtual tours are presented.
Real-Time Map Building using Ultrasound ScanningIRJET Journal
This document describes a device that uses an ultrasonic sensor to build maps of environments in real-time. The device scans the sensor across a 180 degree range to collect distance data points and generates a 2D map visualization. It is intended to enable robots to autonomously map and navigate environments. The device was able to generate basic maps of test environments but had some inaccuracies, depicting flat surfaces as arcs rather than straight lines due to the wide beam of the ultrasonic sensor. Improving the sensor resolution could help address these inaccuracies. The real-time mapping ability, low cost, and small size make the device suitable for mobile robot applications.
Experience on using total station surveying for mapping and contouringIAEME Publication
This document describes the experience of using a total station to map and create contours of a large university campus. Key points:
- A total station was used to efficiently collect planimetric and elevation data across the 1.5km x 2.5km campus to update existing inaccurate maps.
- Over 700-1000 points per day could be collected using one or more prisms simultaneously. Precise procedures were developed to quickly collect data for both mapping and contouring.
- In the office, data files from each instrument setup were processed individually in Excel and drawn in AutoCAD. Files were then combined and aligned to create a unified campus map and contour lines.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Waypoint Flight Parameter Comparison of an Autonomous Uavijaia
The present paper compares the effect of different waypoint parameters on the flight performance of a
special autonomous indoor UAV (unmanned aerial vehicle) fusing ultrasonic, inertial, pressure and optical
sensors for 3D positioning and controlling. The investigated parameters are the acceptance threshold for
reaching a waypoint as well as the maximal waypoint step size or block size. The effect of these parameters
on the flight time and accuracy of the flight path is investigated. Therefore the paper addresses how the
acceptance threshold and step size influence the speed and accuracy of the autonomous flight and thus
influence the performance of the presented autonomous quadrocopter under real indoor navigation
circumstances. Furthermore the paper demonstrates a drawback of the standard potential field method for
navigation of such autonomous quadrocopters and points to an improvement
The document provides guidance on using total station equipment for topographic surveys. It discusses the features and operation of total stations, which combine electronic theodolites and distance measurement instruments. Total stations allow large amounts of survey data to be collected quickly and efficiently compared to traditional methods. The document outlines considerations for equipment selection and inventory, including total station models, data collectors, batteries, and maintenance procedures to ensure equipment remains calibrated and in good working condition.
IRJET- Tool: Segregration of Bands in Sentinel Data and Calculation of NDVIIRJET Journal
This document discusses using satellite imagery and vegetation indices to analyze and map vegetation. It summarizes several research papers on using the Normalized Difference Vegetation Index (NDVI) with different sensors and techniques. Specifically, it examines calculating NDVI from mountain terrain satellite data, using selected bands from Sentinel-2 satellite data for agriculture applications, extracting buildings from satellite images using shadow detection, and applying NDVI to unmanned aerial system multispectral remote sensing for post-disaster assessment. The document also discusses preprocessing techniques and algorithms like random forests and support vector machines for satellite image classification.
Comparative Study of Indoor Navigation Systems for Autonomous FlightTELKOMNIKA JOURNAL
Recently, Unmanned Aerial Vehicles (UAVs) have attracted the society and researchers due to
the capability to perform in economic, scientific and emergency scenarios, and are being employed in large
number of applications especially during the hostile environments. They can operate autonomously for
both indoor and outdoor applications mainly including search and rescue, manufacturing, forest fire
tracking, remote sensing etc. For both environments, precise localization plays a critical role in order to
achieve high performance flight and interacting with the surrounding objects. However, for indoor areas
with degraded or denied Global Navigation Satellite System (GNSS) situation, it becomes challenging to
control UAV autonomously especially where obstacles are unidentified. A large number of techniques by
using various technologies are proposed to get rid of these limits. This paper provides a comparison of
such existing solutions and technologies available for this purpose with their strengths and limitations.
Further, a summary of current research status with unresolved issues and opportunities is provided that
would provide research directions to the researchers of the similar interests.
This document discusses digital photogrammetry. It begins by explaining that digital photogrammetry uses digital images that are stored and processed on a computer, rather than hard copy photos. These digital images can come from satellites, airplanes, or cameras. The document then discusses some applications of digital photogrammetry like topographic mapping and creating orthophotos, digital elevation models (DEMs), and virtual landscapes. It also notes that nadir imagery and image overlap are needed to provide 3D information. Finally, the document lists some common products of digital photogrammetry such as maps, DEMs, and virtual landscapes.
Fundamentals of Remote Sensing- A training moduleNishant Sinha
This document provides an overview of fundamentals of remote sensing. It begins by defining remote sensing as acquiring information about an object without physical contact. It then discusses various aspects of remote sensing including the basic components of a remote sensing system, examples of early and modern remote sensing applications, different sensor types and resolutions. The document also covers topics such as raster data models, file formats for raster data, imagery types, preprocessing techniques including radiometric and geometric corrections, image enhancement methods, image classification approaches, and principles of image interpretation.
This document discusses the history and fundamentals of digital photogrammetry. It describes the evolution from analog to digital photogrammetry and how computer hardware and software have advanced the discipline. The key aspects covered include digital image characteristics like resolution, sampling and quantization. It also outlines common image processing operations, hardware requirements, and software functions needed for digital photogrammetry like image matching, rectification and visualization.
Modern surveying instruments like total stations have replaced traditional tools. Total stations combine an electronic theodolite and distance meter to precisely measure horizontal and vertical angles as well as slope distances to determine point coordinates. They automate data collection and calculations in the field, transferring soft data to computers for mapping. Total stations offer accurate, fast surveying and are widely used in engineering, archaeology, accident reconstruction and more.
This document presents a methodology for damage mapping after earthquakes using object textural parameters extracted from very high resolution pre- and post-earthquake satellite imagery. The method is tested on imagery of Bam, Iran after the 2003 earthquake. Textural features are calculated for individual buildings rather than using a moving window approach. Results show that the dissimilarity textural parameter best distinguishes between damage grades, with grades 1-2 distinguishable from grades 4-5. Further analysis is needed to improve co-registration and handle grade 3 misclassifications.
Computer applications in drilling and blastingchemistrya40
1. Computer aided tools and technologies are used at different stages of drilling and blasting including planning, execution, and monitoring blast output. This includes tools for drill pattern design, bulk explosive loading, electronic detonator initiation, and photography.
2. Technologies to monitor blast output include systems for measuring ground vibrations, performing rock fragmentation assessment using computerized photoanalysis, and conducting diagnostic monitoring for issues like misfires.
3. Several software programs are available to assist with blast design, modeling impacts, and analyzing fragmentation parameters.
Modern surveying techniques utilizes advanced electronic equipment for measuring distances, angles, and elevations. This includes digital levels that use electronic image processing of barcoded staff readings, total stations that integrate distance and angle measurements, and electromagnetic distance measurement instruments. Remote sensing involves analyzing sensor data such as satellite imagery to obtain information about areas without direct contact. It has various applications including agriculture, urban planning, hydrology, and disaster management by aiding tasks such as early warning, damage assessment, and recovery efforts.
Photogrammetry is a technique for measuring objects from photographs. It involves taking aerial photographs from an aircraft or ground positions and using the photos to indirectly measure objects and map terrain. Key steps in the photogrammetric process include image acquisition, establishing ground control points, aerial triangulation to determine photo orientation, stereo compilation to map features, and quality control checks of the final maps. Photogrammetry is useful for mapping large or inaccessible areas and produces digital products like orthophotos and terrain models. It is cost-effective for surveying wide areas but may not be suitable if higher accuracy is required or the scope of work is too small.
AUTO LANDING PROCESS FOR AUTONOMOUS FLYING ROBOT BY USING IMAGE PROCESSING BA...csandit
In today’s technological life, everyone is quite familiar with the importance of security
measures in our lives. So in this regard, many attempts have been made by researchers and one
of them is flying robots technology. One well-known usage of flying robot, perhaps, is its
capability in security and care measurements which made this device extremely practical, not
only for its unmanned movement, but also for the unique manoeuvre during flight over the
arbitrary areas. In this research, the automatic landing of a flying robot is discussed. The
system is based on the frequent interruptions that is sent from main microcontroller to camera
module in order to take images; these images have been distinguished by image processing
system based on edge detection, after analysing the image the system can tell whether or not to
land on the ground. This method shows better performance in terms of precision as well as
experimentally.
This paper will discuss three different aspects of surveying technology, namely the types of surveying technologies available for use in a quarry environment, the types of applications the surveying technologies are used for and comparative performance of different surveying technologies in measuring stockpile volumes.
This document summarizes various modern surveying equipment used for mapping and construction projects, including:
- Electronic distance measurement (EDM) devices and total stations that integrate EDM to measure distances electronically.
- Automatic and digital levels used to measure elevations and slopes accurately and efficiently.
- Global positioning systems (GPS) that use satellites to determine precise locations on Earth.
- Key principles, components, operations, and uses of total stations are described, which integrate distance measurement, angle measurement, and data recording into one portable instrument.
This document describes a project using unmanned aerial vehicles (UAVs) and the concept of swarm robotics to detect landmines. The key points are:
1. UAVs equipped with sensors like metal detectors and cameras will work together to detect landmines over large areas.
2. Once detected, the locations of landmines will be mapped using high-resolution 360-degree cameras.
3. The goal is to reduce costs and risks to human lives by automating landmine detection and mapping operations. This system could save lives by eliminating dangerous manual detection methods.
IRJET - Military Spy Robot with IntelligentdestructionIRJET Journal
This document describes a proposed military spy robot with intelligent destruction capabilities. The robot would use cameras and image processing techniques like histograms of oriented gradients and grey level co-occurrence matrices to identify authorized versus unauthorized trespassers on a military border. If an unauthorized trespasser is detected, the robot would send a signal to an Arduino board via a relay to activate a "bomb destructor" to destroy the trespasser within 100m. The goal is to enhance border security and reduce loss of human army men through automated surveillance and targeted destruction capabilities.
The document provides guidance on using total station equipment for topographic surveys. It discusses the features and operation of total stations, which combine electronic theodolites and distance measurement instruments. Total stations allow large amounts of survey data to be collected quickly and efficiently compared to traditional methods. The document outlines considerations for equipment selection and inventory, including total station models, data collectors, batteries, and maintenance procedures to ensure equipment remains calibrated and in good working condition.
IRJET- Tool: Segregration of Bands in Sentinel Data and Calculation of NDVIIRJET Journal
This document discusses using satellite imagery and vegetation indices to analyze and map vegetation. It summarizes several research papers on using the Normalized Difference Vegetation Index (NDVI) with different sensors and techniques. Specifically, it examines calculating NDVI from mountain terrain satellite data, using selected bands from Sentinel-2 satellite data for agriculture applications, extracting buildings from satellite images using shadow detection, and applying NDVI to unmanned aerial system multispectral remote sensing for post-disaster assessment. The document also discusses preprocessing techniques and algorithms like random forests and support vector machines for satellite image classification.
Comparative Study of Indoor Navigation Systems for Autonomous FlightTELKOMNIKA JOURNAL
Recently, Unmanned Aerial Vehicles (UAVs) have attracted the society and researchers due to
the capability to perform in economic, scientific and emergency scenarios, and are being employed in large
number of applications especially during the hostile environments. They can operate autonomously for
both indoor and outdoor applications mainly including search and rescue, manufacturing, forest fire
tracking, remote sensing etc. For both environments, precise localization plays a critical role in order to
achieve high performance flight and interacting with the surrounding objects. However, for indoor areas
with degraded or denied Global Navigation Satellite System (GNSS) situation, it becomes challenging to
control UAV autonomously especially where obstacles are unidentified. A large number of techniques by
using various technologies are proposed to get rid of these limits. This paper provides a comparison of
such existing solutions and technologies available for this purpose with their strengths and limitations.
Further, a summary of current research status with unresolved issues and opportunities is provided that
would provide research directions to the researchers of the similar interests.
This document discusses digital photogrammetry. It begins by explaining that digital photogrammetry uses digital images that are stored and processed on a computer, rather than hard copy photos. These digital images can come from satellites, airplanes, or cameras. The document then discusses some applications of digital photogrammetry like topographic mapping and creating orthophotos, digital elevation models (DEMs), and virtual landscapes. It also notes that nadir imagery and image overlap are needed to provide 3D information. Finally, the document lists some common products of digital photogrammetry such as maps, DEMs, and virtual landscapes.
Fundamentals of Remote Sensing- A training moduleNishant Sinha
This document provides an overview of fundamentals of remote sensing. It begins by defining remote sensing as acquiring information about an object without physical contact. It then discusses various aspects of remote sensing including the basic components of a remote sensing system, examples of early and modern remote sensing applications, different sensor types and resolutions. The document also covers topics such as raster data models, file formats for raster data, imagery types, preprocessing techniques including radiometric and geometric corrections, image enhancement methods, image classification approaches, and principles of image interpretation.
This document discusses the history and fundamentals of digital photogrammetry. It describes the evolution from analog to digital photogrammetry and how computer hardware and software have advanced the discipline. The key aspects covered include digital image characteristics like resolution, sampling and quantization. It also outlines common image processing operations, hardware requirements, and software functions needed for digital photogrammetry like image matching, rectification and visualization.
Modern surveying instruments like total stations have replaced traditional tools. Total stations combine an electronic theodolite and distance meter to precisely measure horizontal and vertical angles as well as slope distances to determine point coordinates. They automate data collection and calculations in the field, transferring soft data to computers for mapping. Total stations offer accurate, fast surveying and are widely used in engineering, archaeology, accident reconstruction and more.
This document presents a methodology for damage mapping after earthquakes using object textural parameters extracted from very high resolution pre- and post-earthquake satellite imagery. The method is tested on imagery of Bam, Iran after the 2003 earthquake. Textural features are calculated for individual buildings rather than using a moving window approach. Results show that the dissimilarity textural parameter best distinguishes between damage grades, with grades 1-2 distinguishable from grades 4-5. Further analysis is needed to improve co-registration and handle grade 3 misclassifications.
Computer applications in drilling and blastingchemistrya40
1. Computer aided tools and technologies are used at different stages of drilling and blasting including planning, execution, and monitoring blast output. This includes tools for drill pattern design, bulk explosive loading, electronic detonator initiation, and photography.
2. Technologies to monitor blast output include systems for measuring ground vibrations, performing rock fragmentation assessment using computerized photoanalysis, and conducting diagnostic monitoring for issues like misfires.
3. Several software programs are available to assist with blast design, modeling impacts, and analyzing fragmentation parameters.
Modern surveying techniques utilizes advanced electronic equipment for measuring distances, angles, and elevations. This includes digital levels that use electronic image processing of barcoded staff readings, total stations that integrate distance and angle measurements, and electromagnetic distance measurement instruments. Remote sensing involves analyzing sensor data such as satellite imagery to obtain information about areas without direct contact. It has various applications including agriculture, urban planning, hydrology, and disaster management by aiding tasks such as early warning, damage assessment, and recovery efforts.
Photogrammetry is a technique for measuring objects from photographs. It involves taking aerial photographs from an aircraft or ground positions and using the photos to indirectly measure objects and map terrain. Key steps in the photogrammetric process include image acquisition, establishing ground control points, aerial triangulation to determine photo orientation, stereo compilation to map features, and quality control checks of the final maps. Photogrammetry is useful for mapping large or inaccessible areas and produces digital products like orthophotos and terrain models. It is cost-effective for surveying wide areas but may not be suitable if higher accuracy is required or the scope of work is too small.
AUTO LANDING PROCESS FOR AUTONOMOUS FLYING ROBOT BY USING IMAGE PROCESSING BA...csandit
In today’s technological life, everyone is quite familiar with the importance of security
measures in our lives. So in this regard, many attempts have been made by researchers and one
of them is flying robots technology. One well-known usage of flying robot, perhaps, is its
capability in security and care measurements which made this device extremely practical, not
only for its unmanned movement, but also for the unique manoeuvre during flight over the
arbitrary areas. In this research, the automatic landing of a flying robot is discussed. The
system is based on the frequent interruptions that is sent from main microcontroller to camera
module in order to take images; these images have been distinguished by image processing
system based on edge detection, after analysing the image the system can tell whether or not to
land on the ground. This method shows better performance in terms of precision as well as
experimentally.
This paper will discuss three different aspects of surveying technology, namely the types of surveying technologies available for use in a quarry environment, the types of applications the surveying technologies are used for and comparative performance of different surveying technologies in measuring stockpile volumes.
This document summarizes various modern surveying equipment used for mapping and construction projects, including:
- Electronic distance measurement (EDM) devices and total stations that integrate EDM to measure distances electronically.
- Automatic and digital levels used to measure elevations and slopes accurately and efficiently.
- Global positioning systems (GPS) that use satellites to determine precise locations on Earth.
- Key principles, components, operations, and uses of total stations are described, which integrate distance measurement, angle measurement, and data recording into one portable instrument.
This document describes a project using unmanned aerial vehicles (UAVs) and the concept of swarm robotics to detect landmines. The key points are:
1. UAVs equipped with sensors like metal detectors and cameras will work together to detect landmines over large areas.
2. Once detected, the locations of landmines will be mapped using high-resolution 360-degree cameras.
3. The goal is to reduce costs and risks to human lives by automating landmine detection and mapping operations. This system could save lives by eliminating dangerous manual detection methods.
IRJET - Military Spy Robot with IntelligentdestructionIRJET Journal
This document describes a proposed military spy robot with intelligent destruction capabilities. The robot would use cameras and image processing techniques like histograms of oriented gradients and grey level co-occurrence matrices to identify authorized versus unauthorized trespassers on a military border. If an unauthorized trespasser is detected, the robot would send a signal to an Arduino board via a relay to activate a "bomb destructor" to destroy the trespasser within 100m. The goal is to enhance border security and reduce loss of human army men through automated surveillance and targeted destruction capabilities.
UAVs have been operating since 1996 in Indian Armed Forces . Although there is a huge limitation in the development of the communication system for a wireless HD video and data telemetry link for real time surveillance in BVLOS operations.. What are the main components required for the basic transmission of video and data link? What are the parameters on basis of which such link should be feasible for long range communication? This paper focuses on integration aspects and comparison of the components and its parameters by conducting tests on a UAV set-up.
Drone Detection & Classification using Machine LearningIRJET Journal
This document summarizes a research paper on drone detection and classification using machine learning. It discusses how drone technology is used for various purposes like food delivery and emergency response. The research focuses on using machine learning and image processing for drone surveillance in high-risk areas. It describes the system architecture, which uses sensors like thermal cameras, video cameras, and microphones along with a machine learning model on a laptop. The document outlines the methodology, including how the sensors are mounted and integrated into the system. It also discusses the software and algorithms used for detection, classification and tracking of drones.
Quadcopter (uavs) for border security with gui systemeSAT Journals
Abstract The authors are designing the Quad-copter (UAVs) for Border Security with GUI System. Now-a-days the security issues of borders are daily increasing. Terrorist activities, firing, etc. at border are increasing day by day. Monitoring is becoming more difficult due to weather conditions, difficult areas which are out of reach etc and risk of losing life of soldier is also increasing. Designing an unmanned air vehicle which will monitor the border area, difficult location, movie shooting etc from long distance can be a good option. GPS is used to track the position of intruder or our troops or vehicles. This GPS data will be received by ARM9 processor and conveyed to observer or controller via zigbee. The Quad-copter is controlled by observer via the IR remote. Observer will fly the Quad-copter from a distance to area which has to be monitored. The Audio-Visual will be transmitted to PC via Wireless camera mounted on assembly. Also recording will be done. Keywords: Quadcopter, GPS, Zigbee, Wireless camera, IR remote, Battery, ARM9 processor, GUI
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Microwave Radiometer Analysis for Imaging and Vehicular SystemsIRJET Journal
This document summarizes a research paper about using microwave radiometry for fire detection around moving vehicles. The paper proposes using a ground-based microwave radiometer mounted near a road or rail track to image potential fire areas on a passing vehicle. Simulations were conducted using 30 GHz microwave radiation to analyze transmission through typical vehicle walls of different materials, thicknesses, and properties. The research suggests microwave radiometry may provide early fire detection by measuring changes in emitted radiation transmitted through dielectric vehicle walls, as an alternative or supplement to existing infrared sensor systems.
Total station and its application to civil engineeringTushar Dholakia
Total stations are surveying instruments that combine an electronic theodolite, electronic distance meter, and on-board computer. They allow users to measure horizontal and vertical angles as well as slope distances to calculate coordinates. Modern total stations can store thousands of data points, perform computations, and transfer data remotely via memory cards or wireless connections. They have largely replaced standalone theodolites and distance meters due to greater accuracy, automation, and data processing capabilities. Total stations find wide application in civil engineering, mining, accident reconstruction, and other fields requiring precise spatial measurements and positioning.
The document describes a proposed smartdust network system for tactical border surveillance using multiple sensor signatures. The system consists of two smartdust sensor motes equipped with seismic, magnetic, acoustic, and thermal sensors and a central monitoring mote. The smartdust motes are designed using an ARM microcontroller, IEEE 802.15.4 radio transceiver, and various MEMS sensors. They form an ad-hoc wireless network to detect intrusions based on sensor signatures and relay information to the central monitoring mote. The central mote also displays the intrusion tracking history. The system is intended to address limitations of existing border surveillance methods like aircraft, armed forces, and ground RADAR systems by providing a low-cost, low
The document describes a proposed smartdust network system for tactical border surveillance using multiple sensor signatures. The system consists of two smartdust sensor motes equipped with seismic, magnetic, acoustic, and thermal sensors and a central monitoring mote. The smartdust motes are designed using an ARM microcontroller, IEEE 802.15.4 radio transceiver, and various MEMS sensors. They form an ad-hoc wireless network to detect intrusions based on sensor signatures and relay information to the central monitoring mote. The central mote also displays the intrusion tracking history. The system aims to provide an effective low-cost solution for monitoring large border areas with minimal infrastructure.
Smartdust Network for Tactical Border Surveillance Using Multiple SignaturesIOSR Journals
Abstract: The paper aims at designing a system for border surveillance using the concept of smartdust
technology. Smartdusts are small dust like wireless sensor motes with multiple on-board sensors and
microcontroller. In real time, thousands of such smartdust motes must be deployed in a large area. The motes
can form a network among them and has wireless connection to outside world. Onboard hardware include a
variety of sensors for vibration/seismic, magnetic, acoustic and thermal signature recognition, a
microcontroller for processing these sensor values and a radio transceiver for communication over a wireless
network. In this experimental project, we have designed one central monitoring mote and two smartdust motes
using ARM controller, IEEE radio transceiver and sensors.The central monitoring mote also displays the
tracking history of intrusion on enabling a switch.
Keywords:Advanced RISC Machine (ARM), Cortex microcontroller software interface standard (CMSIS), Inter
Integrated Circuit (I2C), MEMS accelerometer, Serial Peripheral Interface (SPI),Smartdust mote.
Smartdust Network for Tactical Border Surveillance Using Multiple SignaturesIOSR Journals
The paper aims at designing a system for border surveillance using the concept of smartdust
technology. Smartdusts are small dust like wireless sensor motes with multiple on-board sensors and
microcontroller. In real time, thousands of such smartdust motes must be deployed in a large area. The motes
can form a network among them and has wireless connection to outside world. Onboard hardware include a
variety of sensors for vibration/seismic, magnetic, acoustic and thermal signature recognition, a
microcontroller for processing these sensor values and a radio transceiver for communication over a wireless
network. In this experimental project, we have designed one central monitoring mote and two smartdust motes
using ARM controller, IEEE radio transceiver and sensors.The central monitoring mote also displays the
tracking history of intrusion on enabling a switch
IRJET- Unmanned Ground Vehicle for Military AssistanceIRJET Journal
This document summarizes an unmanned ground vehicle designed for military assistance applications. The proposed vehicle would be controlled remotely via radio signals and equipped with cameras, GPS, radar, and a metal detector to undertake missions like border patrol and surveillance. It aims to provide a safer alternative to putting soldiers in harm's way for tasks like detecting landmines. The vehicle would be controlled by an Arduino microcontroller and use sensors like infrared, ultrasonic, and a metal detector coupled with a mobile phone to navigate terrain and detect obstacles and metals. It discusses the need for such technologies and provides details on the proposed system design and components.
MILITANT INTRUSION DETECTION USING MACHINE LEARNINGIRJET Journal
This document describes a machine learning system for militant intrusion detection. The system uses a Raspberry Pi equipped with cameras and sensors to detect weapons, vehicles, and intruders. It applies the YOLO-V5 object detection algorithm to images in real-time. When threats are detected, the system sends alerts to administrators and turns on warning lights. The system aims to increase security at military sites by automatically detecting intrusions and threats.
This document describes a prototype for an intelligent fire sprinkler system that uses an infrared camera and targeting mechanism to detect and locally suppress fires. The system processes IR images to identify heat sources, then aims a water nozzle to hit the source. This reduces water damage compared to traditional sprinklers. A proof-of-concept was built with retail components, and a study found the system could be commercially viable despite higher costs than traditional sprinklers, as it provides added protection for sensitive spaces.
IRJET- Robust and Fast Detection of Moving Vechiles in Aerial Videos usin...IRJET Journal
This document discusses a method for detecting moving vehicles in aerial videos using sliding windows in MATLAB. It first performs foreground motion segmentation and trajectory accumulation to build a dynamic scene motion heat map. It then introduces a novel saliency-based background model that enhances moving objects to segment vehicles in high-heat areas. Key steps include compensating for camera motion, detecting independent motion via tracking image corners, and applying a sliding window classifier with optimized parameters like window size and orientation. Evaluation on urban videos shows the approach achieves 88% detection rates with only 2% false positives, outperforming alternative segmentation-based methods in processing time and accuracy. The goal is robust, real-time vehicle detection from aerial videos for applications like traffic monitoring.
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
International Journal of Engineering and Science Invention (IJESI) inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
Person Detection in Maritime Search And Rescue OperationsIRJET Journal
This document discusses recent research on using computer vision and machine learning techniques for person detection in maritime search and rescue operations from images and video captured by drones. Specifically, it summarizes 12 research papers on this topic, covering approaches such as training convolutional neural networks on bird's eye view datasets to detect people from aerial images, using multiple detection methods like sliding windows and precise localization, combining data from multiple drones and sensors to optimize search efforts, and evaluating models on both RGB and thermal image datasets. The goal of this research is to automate part of the search process to make maritime rescue operations more efficient and effective.
Similar to IRJET- Inspection of Components with the Support of the Drones (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.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
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%.
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.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
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.
AI for Legal Research with applications, toolsmahaffeycheryld
AI applications in legal research include rapid document analysis, case law review, and statute interpretation. AI-powered tools can sift through vast legal databases to find relevant precedents and citations, enhancing research accuracy and speed. They assist in legal writing by drafting and proofreading documents. Predictive analytics help foresee case outcomes based on historical data, aiding in strategic decision-making. AI also automates routine tasks like contract review and due diligence, freeing up lawyers to focus on complex legal issues. These applications make legal research more efficient, cost-effective, and accessible.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.