This document presents a study comparing two localization systems - synchronous and asynchronous - that use the propagation time of a signal to measure distances and determine the position of a mobile object in a 2D plane.
The synchronous system uses three components: an object that emits both a positioning signal (e.g. ultrasound) and a control signal, and two sensors that detect the positioning signal arrival times. The control signal allows the system to know the exact emission time of the positioning signal.
The asynchronous system removes the control signal, so the emission time is unknown. It uses three sensors to obtain three equations for trilateration, solving for the three unknowns of position. Management of measurement times is important since emission times
Design and Implementation of Spatial Localization Based on Six -axis MEMS SensorIJRES Journal
This paper focuses on the 3-axis MEMS gyroscope, 3-axis MEMS accelerometer study spatial
orientation. In order to avoid the influence of the environment on the positioning of the text based on physical
principles established sports model, combining coordinate transformation method, the microcontroller STM32
platform with integrated 3-axis MEMS gyroscope, 3-axis MEMS accelerometer chip MPU60x0 designed a new
space positioning system, and using I2C protocol to transfer information. The system is highly integrated, simple
circuit, small size, low power consumption, easy expansion, easy maintenance, etc., can be used as an adjunct to
a wireless network based positioning, improve positioning accuracy, precision can also be positioned relatively
low areas applications.
This document summarizes positioning techniques for wireless sensor networks (WSNs) and Internet of Things (IoT) systems. It discusses both range-based and range-free localization methods. Range-based methods use distance or angle measurements between sensor nodes, including received signal strength indication (RSSI), time of arrival (TOA), time difference of arrival (TDOA), and angle of arrival (AOA). Range-free methods depend on node connectivity and do not require specialized hardware. The document reviews several algorithms and techniques for each category.
Optimization of a 2D localization system of a moving object based on the prop...IRJET Journal
This document discusses optimization methods for a 2D localization system that tracks a moving object using signal propagation time measurements. It evaluates different filtering and calculation techniques to improve the accuracy of distance measurements from asynchronous sensors, including limiting measured values to an interval, calculating the average, mode, median, and using shift value selection. The median with shift value selection method provided the most accurate results by smoothing outliers while still responding to object movement. However, increasing the number of measurements to improve precision also increases response time, presenting a precision/response time tradeoff for implementation. Further measurement refinement through time-to-digital conversion systems may also help reduce errors.
IRJET- Clustering the Real Time Moving Object Adjacent TrackingIRJET Journal
This paper proposes a new algorithm for clustering the trajectories of moving objects in real-time based on sensor data. The algorithm represents each object's trajectory as a series of time-stamped positions. It aims to reduce data storage and transmission costs by clustering objects with similar movements together and sending updates only when objects change clusters. The key aspects of the algorithm are using a metric called M that measures how well an object fits in a cluster based on its predicted future trajectory, and updating clusters and transmitting changes when this metric exceeds a threshold for an object.
This document describes a method for indoor localization using a smartphone and Bluetooth Low Energy (BLE) sensor tag. The sensor tag contains an accelerometer, gyroscope, and other sensors to measure a user's motion and transmit the data via BLE to a smartphone app. The app uses dead reckoning algorithms integrating accelerometer and gyroscope data to calculate the user's distance and direction of movement over time without GPS or network connectivity. Challenges included increasing the sensor sampling rate and integrating data from multiple sensors. The described method provides indoor navigation when outdoor positioning systems like GPS are unavailable.
Indoor localisation and dead reckoning using Sensor Tag™ BLE.Abhishek Madav
The mobile application uses readings of the Accelerometer and Gyroscope from the Sensor Tag to describe details of motion in a planar mode. The project has been implemented as a part of the EECS 221 coursework at University of California, Irvine.
This document describes a method for indoor localization using a smartphone and Bluetooth Low Energy (BLE) sensor tag. The sensor tag contains an accelerometer, gyroscope, and other sensors to measure a user's motion and transmit the sensor data via BLE to a smartphone app. The app uses dead reckoning algorithms integrating accelerometer and gyroscope data to calculate the user's distance and direction of movement over time without GPS or network connectivity. Challenges addressed include increasing the sensor sampling rate and integrating accelerometer and gyroscope data to limit position error accumulation. The described system provides indoor navigation when outdoor positioning systems like GPS are unavailable.
This document summarizes a target tracking radar system that uses sequential lobing technique to measure a single target's angle. It does this by switching the radar beam between different positions to gain improved angular information about the target's position. The radar system is then able to determine and track the target's azimuth and elevation angles. It consists of major hardware components including a transmitter, receiver, antenna, ranging, and positioning systems. Together, these allow the radar to detect target echoes, determine the target's range and angular position, and keep the antenna aimed at the target for continuous tracking.
Design and Implementation of Spatial Localization Based on Six -axis MEMS SensorIJRES Journal
This paper focuses on the 3-axis MEMS gyroscope, 3-axis MEMS accelerometer study spatial
orientation. In order to avoid the influence of the environment on the positioning of the text based on physical
principles established sports model, combining coordinate transformation method, the microcontroller STM32
platform with integrated 3-axis MEMS gyroscope, 3-axis MEMS accelerometer chip MPU60x0 designed a new
space positioning system, and using I2C protocol to transfer information. The system is highly integrated, simple
circuit, small size, low power consumption, easy expansion, easy maintenance, etc., can be used as an adjunct to
a wireless network based positioning, improve positioning accuracy, precision can also be positioned relatively
low areas applications.
This document summarizes positioning techniques for wireless sensor networks (WSNs) and Internet of Things (IoT) systems. It discusses both range-based and range-free localization methods. Range-based methods use distance or angle measurements between sensor nodes, including received signal strength indication (RSSI), time of arrival (TOA), time difference of arrival (TDOA), and angle of arrival (AOA). Range-free methods depend on node connectivity and do not require specialized hardware. The document reviews several algorithms and techniques for each category.
Optimization of a 2D localization system of a moving object based on the prop...IRJET Journal
This document discusses optimization methods for a 2D localization system that tracks a moving object using signal propagation time measurements. It evaluates different filtering and calculation techniques to improve the accuracy of distance measurements from asynchronous sensors, including limiting measured values to an interval, calculating the average, mode, median, and using shift value selection. The median with shift value selection method provided the most accurate results by smoothing outliers while still responding to object movement. However, increasing the number of measurements to improve precision also increases response time, presenting a precision/response time tradeoff for implementation. Further measurement refinement through time-to-digital conversion systems may also help reduce errors.
IRJET- Clustering the Real Time Moving Object Adjacent TrackingIRJET Journal
This paper proposes a new algorithm for clustering the trajectories of moving objects in real-time based on sensor data. The algorithm represents each object's trajectory as a series of time-stamped positions. It aims to reduce data storage and transmission costs by clustering objects with similar movements together and sending updates only when objects change clusters. The key aspects of the algorithm are using a metric called M that measures how well an object fits in a cluster based on its predicted future trajectory, and updating clusters and transmitting changes when this metric exceeds a threshold for an object.
This document describes a method for indoor localization using a smartphone and Bluetooth Low Energy (BLE) sensor tag. The sensor tag contains an accelerometer, gyroscope, and other sensors to measure a user's motion and transmit the data via BLE to a smartphone app. The app uses dead reckoning algorithms integrating accelerometer and gyroscope data to calculate the user's distance and direction of movement over time without GPS or network connectivity. Challenges included increasing the sensor sampling rate and integrating data from multiple sensors. The described method provides indoor navigation when outdoor positioning systems like GPS are unavailable.
Indoor localisation and dead reckoning using Sensor Tag™ BLE.Abhishek Madav
The mobile application uses readings of the Accelerometer and Gyroscope from the Sensor Tag to describe details of motion in a planar mode. The project has been implemented as a part of the EECS 221 coursework at University of California, Irvine.
This document describes a method for indoor localization using a smartphone and Bluetooth Low Energy (BLE) sensor tag. The sensor tag contains an accelerometer, gyroscope, and other sensors to measure a user's motion and transmit the sensor data via BLE to a smartphone app. The app uses dead reckoning algorithms integrating accelerometer and gyroscope data to calculate the user's distance and direction of movement over time without GPS or network connectivity. Challenges addressed include increasing the sensor sampling rate and integrating accelerometer and gyroscope data to limit position error accumulation. The described system provides indoor navigation when outdoor positioning systems like GPS are unavailable.
This document summarizes a target tracking radar system that uses sequential lobing technique to measure a single target's angle. It does this by switching the radar beam between different positions to gain improved angular information about the target's position. The radar system is then able to determine and track the target's azimuth and elevation angles. It consists of major hardware components including a transmitter, receiver, antenna, ranging, and positioning systems. Together, these allow the radar to detect target echoes, determine the target's range and angular position, and keep the antenna aimed at the target for continuous tracking.
Development of an Integrated Attitude Determination System for Small Unmanned...IRJET Journal
This document presents a study that developed an integrated attitude determination system for small unmanned aerial vehicles (UAVs) based on the principles of simple neural networks. The system fuses data from sensors like gyroscopes, accelerometers, magnetometers, and GPS to determine vehicle attitude. Individual sensor solutions are combined using weights based on sensor error and deviation from the mean attitude. The algorithm was evaluated by comparing its outputs to those of a traditional attitude determination system on a commercial UAV. Results found good agreement, validating the proposed approach as a computationally efficient alternative.
Study on the correct tilt of the navigation of agricultural machinery based o...eSAT Journals
Abstract In recent years, the development of GPS navigation technology is very fast, has been applied to almost everywhere in life, especially in the field of agricultural production in recent years is more important. In foreign countries, GPS navigation application in agricultural production development has been very mature, but in China, the application of GPS in agricultural machinery navigation is still in the stage of research and development, application in agricultural machinery navigation, the GPS navigation technology to achieve accurate positioning: the most important thing is to tilt, lateral posture correction, pure line operation and a series of work based on path tracking. The GPS carrier phase measurement technology, static positioning can not only realize agricultural accurate and real-time dynamic positioning; but also can achieve high-precision attitude measurement based on observation of carrier phase receiver. Through the vector in the process of operation because of the navigation error of surface height fluctuation generated by the tilt correction algorithm, can be derived on the agricultural machinery navigation correction, because in the process of agricultural navigation operation, positioning error vector produced by the inclination will directly affect the pure path tracking algorithm based on the trajectory of the straight line thus, effects of mechanization and efficiency of intelligent agricultural production, so the research of calibration for the error caused by the tilt is of great significance. Considering the difficulty of the experiment, our research is a double side antenna attitude, so in the original location of the next step is to collect model cars some simulation of agricultural operations process data, and then use MATLAB to carry out simulation on the PC machine, according to before and after correction for the navigation of agricultural machinery industry to observe the trajectory correction effect. . Keywords: GPS positioning; attitude measurement; tilt correction; simulation
1. The document compares two methods for determining position using distributed ultrasound beacons: an iterative method and a direct method.
2. The iterative method uses least squares approximation in multiple iterations to handle an over-determined problem, while the direct method uses geometry to directly solve for position from three transmitter measurements.
3. Testing showed the direct method had slightly better average accuracy but was less robust, while the iterative method was faster computationally and better handled missing or erroneous data. Neither method emerged as a clear winner.
IRJET- Positioning of Underwater Vehicle using Acoustic SignalIRJET Journal
1) The document describes methods for positioning an underwater vehicle using acoustic signals. Time of arrival (TOA) and time difference of arrival (TDOA) techniques are simulated to locate the vehicle relative to acoustic beacons.
2) TOA calculates distance based on the time it takes a signal to travel between beacons and the vehicle, while TDOA uses differences in arrival times between multiple beacons.
3) Trilateration and multilateration methods are discussed. Trilateration uses TOA to three beacons, while multilateration employs TDOA and does not require synchronization between nodes. Multilateration is preferred as it eliminates the need for extra synchronization
Massive Sensors Array for Precision Sensingoblu.io
More than a billion smartphones being sold annually and growing with CAGR of 16%, the smartphone industry has become a driving force in the development of ultralow-cost inertial sensors. Unfortunately, these ultra low-cost sensors do not yet meet the needs of more demanding applications like inertial navigation and biomedical motion tracking systems. However, by adapting a wisdom of the crowd’s thinking and design arrays consisting of hundreds of sensing elements, one can capitalize on the decreasing cost, size, and power-consumption of the sensors to construct virtual high-performance low-cost inertial sensors. Team at KTH, Sweden and WUSTL, USA share findings and challenges.
IRJET- Implementation of IoT based Dual Axis Photo-Voltaic Solar Tracker ...IRJET Journal
This document describes an IoT-based dual-axis solar tracker system with maximum power point tracking (MPPT) using a Raspberry Pi and NodeMCU. It calculates the sun's position using equations that take latitude, longitude, time and date as inputs to determine the azimuth and altitude angles without sensors. An MQTT protocol transmits data between the PV module (NodeMCU) and server (Node-RED) regarding voltage, current, angles, and duty cycle. Node-RED installed on the Raspberry Pi calculates the duty cycle to extract maximum power from the PV system using two servo motors to adjust the panel's position. Experimental results found a tracking error of 0.1° and 0.47° for altitude and
Time of arrival based localization in wireless sensor networks a non linear ...sipij
In this paper, we aim to obtain the location information of a sensor node deployed in a Wireless Sensor Network (WSN). Here, Time of Arrival based localization technique is considered. We calculate the position information of an unknown sensor node using the non- linear techniques. The performances of the techniques are compared with the Cramer Rao Lower bound (CRLB). Non-linear Least Squares and the Maximum Likelihood are the non-linear techniques that have been used to estimate the position of the unknown sensor node. Each of these non-linear techniques are iterative approaches, namely, Newton
Raphson estimate, Gauss Newton Estimate and the Steepest Descent estimate for comparison. Based on the
results of the simulation, the approaches have been compared. From the simulation study, Localization
based on Maximum Likelihood approach is having higher localization accuracy.
IRJET- Survey Paper on Human Following RobotIRJET Journal
The document summarizes research on developing an autonomous human following robot. It discusses using triangulation of radio signals from a tag worn by a human to calculate the tag's location using multiple antennas on the robot. The robot would use triangulation and received signal strength to determine the tag's position and direction to follow the human. It reviews several localization algorithms and navigation techniques used in other projects. The proposed method is to use triangulation of signals from three antennas to accurately calculate the tag's position and allow the robot to autonomously follow or be remotely controlled via Bluetooth.
This document presents a method for deriving equations to model the operation of a bistatic tracking radar (BTR) system. A BTR uses separate transmitter and receiver stations to detect and track targets. The document:
1) Uses triangulation geometry to model the positions and angles between the transmitter, receiver, and target.
2) Derives equations to calculate distances and antenna angles/directions based on initial target data and the propagation time delay.
3) Explains how the BTR system would use these equations to continuously track a maneuvering target by adjusting the transmitter antenna position based on receiver measurements and commands.
4) Presents simulation results validating the derived BTR modeling equations and tracking algorithm.
Abstract In this paper, localization of the robot is achieved by considering two Global Positioning Systems (GPS) or DGPS. Differential Global Positioning System (DGPS) is interfaced with MBED with the help of Zigbee protocol. For accurate localization of mobile robot DGPS is preferred. Filters are used to remove the erroneous noise from the data obtained from GPS. Low pass IIR filter for DGPS is realized. The project work discusses each of these approaches for localization in Outdoor environment. The above algorithm is implemented on MBED Platform. Simulation results are extracted using Matlab. Keywords—localization, Outdoor environment, Low pass IIR filter, DGPS, MBED
This document summarizes the accuracy of tracking radar systems. It discusses the monopulse concept of tracking targets using sum and difference patterns. It examines limitations to tracking accuracy from receiver noise, multipath effects, and antenna pattern generation. Simulation results show that narrower beamwidths and knowledge of target behavior can help reduce errors from multipath. Receiver noise error decreases with higher signal-to-noise ratios and more integrated pulses. Multipath causes angle tracking errors that depend on antenna height, target height, and range.
Abstract - In wireless sensor network, energy efficiency is a major concern as the sensors have minimum energy capacity. As the sensor energy consumption plays a vital role in determining the network lifetime, many strategies have been proposed for energy conservation. One of them is mobile data gathering (MDG).In Mobile Data Gathering either the sink can go on tour to collect the data or a Mobile Data Collector (MDC) can collect the data from sensors and drops them back to the static sink. In this paper, static sink with mobile data collector is considered for the topic of interest. The mobile data collector will reach the cluster of sensors at some appropriate locations called as anchor points. For the formation of clusters, many algorithms have been proposed so far, two of them , Square Grid based Clustering (SGC) and Sensor Transmission based Clustering (STC) are analysed here for the selection of anchors in the anchor based mobile data gathering approach.
Three Element Beam forming Algorithm with Reduced Interference Effect in Sign...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
Investigations on real time RSSI based outdoor target tracking using kalman f...IJECEIAES
Target tracking is essential for localization and many other applications in Wireless Sensor Networks (WSNs). Kalman filter is used to reduce measurement noise in target tracking. In this research TelosB motes are used to measure Received Signal Strength Indication (RSSI). RSSI measurement doesn‟t require any external hardware compare to other distance estimation methods such as Time of Arrival (TOA), Time Difference of Arrival (TDoA) and Angle of Arrival (AoA). Distances between beacon and non-anchor nodes are estimated using the measured RSSI values. Position of the nonanchor node is estimated after finding the distance between beacon and nonanchor nodes. A new algorithm is proposed with Kalman filter for location estimation and target tracking in order to improve localization accuracy called as MoteTrack InOut system. This system is implemented in real time for indoor and outdoor tracking. Localization error reduction obtained in an outdoor environment is 75%.
Calibration of Geomagnetic and Soil Temperatur Sensor for Earthquake Early Wa...TELKOMNIKA JOURNAL
The document describes the calibration of sensors for an earthquake early warning system. Specifically, it calibrates a geomagnetic sensor (MAG3110) and soil temperature sensor (DHT11) by comparing their measurements to standard instruments. For the magnetic sensor, the calibration found standard deviations of 8.5, 2.66, and 1.9 for the x, y, and z axes respectively. For the temperature sensor, the standard deviation was 0.1161. Properly calibrating the sensors improves the accuracy of measurements for predicting earthquakes.
Preliminary Research on Data Abnormality Diagnosis Methods of Spacecraft Prec...IJERA Editor
For precision measuring the satellite equipments, providing technical support for satellite assembly, combined
with satellite small size, complex structure, satellite equipment shapes vary, and other characteristics, presently,
indirect method that using electronic theodolite to measure cube mirror are commonly used to obtain the relative
attitude of the respective devices. But in the actual measurement process, there are measurement errors in the
measurement data. How to detect anomalies in the data is the focus of this study. This paper proposes two
methods to detect abnormal data, that is mathematical geometric method and outlier detection methods. This
paper analyzes their theoretical basis and verifies the feasibility of the two methods through part of the actual
measurement data to.
Anchor Positioning using Sensor Transmission Range Based Clustering for Mobil...ijdmtaiir
This document summarizes and compares two algorithms for selecting anchor points for mobile data collection in wireless sensor networks: Square Grid Clustering (SGC) and Sensor Transmission based Clustering (STC). SGC divides the deployment area into a grid and uses the centroid of each grid cell as an anchor point. STC clusters sensors based on their transmission range and uses the centroid of each cluster as an anchor point. The document finds that STC typically results in fewer anchor points than SGC and lower round-trip times for the mobile data collector. An analysis of the algorithms using sample sensor networks shows that STC outperforms SGC in anchor point selection and data collection efficiency.
Iaetsd concepts of surveying with totalstation-a latestIaetsd Iaetsd
This document provides an overview of surveying with a total station, which is a modern surveying instrument that integrates an electronic theodolite, distance measuring instrument, and computer. It discusses the components and functions of a total station, including the gun, batteries, environmental box, data collector, focus adjustment knobs, and data screens. The document also covers electronic distance measurement, basic mapping terms, and advantages of using a total station compared to traditional surveying methods.
Analysis of Obstacle Detection Using Ultrasonic SensorIRJET Journal
This document summarizes a study that used an ultrasonic sensor on a LEGO Mindstorm EV3 robot to detect and classify obstacles. The robot was programmed to slow down when a certain distance from an obstruction and stop when 15 cm away. Distance measurements were taken for 5 materials - wood, paper, cloth, plastic, and metal. Overall, the ultrasonic sensor was highly correlated at measuring distances of different materials but was very poor at classifying materials based on distance measurements alone. The aim of the study was to analyze obstacle detection using ultrasonic sensors to potentially benefit auto safety systems.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
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Development of an Integrated Attitude Determination System for Small Unmanned...IRJET Journal
This document presents a study that developed an integrated attitude determination system for small unmanned aerial vehicles (UAVs) based on the principles of simple neural networks. The system fuses data from sensors like gyroscopes, accelerometers, magnetometers, and GPS to determine vehicle attitude. Individual sensor solutions are combined using weights based on sensor error and deviation from the mean attitude. The algorithm was evaluated by comparing its outputs to those of a traditional attitude determination system on a commercial UAV. Results found good agreement, validating the proposed approach as a computationally efficient alternative.
Study on the correct tilt of the navigation of agricultural machinery based o...eSAT Journals
Abstract In recent years, the development of GPS navigation technology is very fast, has been applied to almost everywhere in life, especially in the field of agricultural production in recent years is more important. In foreign countries, GPS navigation application in agricultural production development has been very mature, but in China, the application of GPS in agricultural machinery navigation is still in the stage of research and development, application in agricultural machinery navigation, the GPS navigation technology to achieve accurate positioning: the most important thing is to tilt, lateral posture correction, pure line operation and a series of work based on path tracking. The GPS carrier phase measurement technology, static positioning can not only realize agricultural accurate and real-time dynamic positioning; but also can achieve high-precision attitude measurement based on observation of carrier phase receiver. Through the vector in the process of operation because of the navigation error of surface height fluctuation generated by the tilt correction algorithm, can be derived on the agricultural machinery navigation correction, because in the process of agricultural navigation operation, positioning error vector produced by the inclination will directly affect the pure path tracking algorithm based on the trajectory of the straight line thus, effects of mechanization and efficiency of intelligent agricultural production, so the research of calibration for the error caused by the tilt is of great significance. Considering the difficulty of the experiment, our research is a double side antenna attitude, so in the original location of the next step is to collect model cars some simulation of agricultural operations process data, and then use MATLAB to carry out simulation on the PC machine, according to before and after correction for the navigation of agricultural machinery industry to observe the trajectory correction effect. . Keywords: GPS positioning; attitude measurement; tilt correction; simulation
1. The document compares two methods for determining position using distributed ultrasound beacons: an iterative method and a direct method.
2. The iterative method uses least squares approximation in multiple iterations to handle an over-determined problem, while the direct method uses geometry to directly solve for position from three transmitter measurements.
3. Testing showed the direct method had slightly better average accuracy but was less robust, while the iterative method was faster computationally and better handled missing or erroneous data. Neither method emerged as a clear winner.
IRJET- Positioning of Underwater Vehicle using Acoustic SignalIRJET Journal
1) The document describes methods for positioning an underwater vehicle using acoustic signals. Time of arrival (TOA) and time difference of arrival (TDOA) techniques are simulated to locate the vehicle relative to acoustic beacons.
2) TOA calculates distance based on the time it takes a signal to travel between beacons and the vehicle, while TDOA uses differences in arrival times between multiple beacons.
3) Trilateration and multilateration methods are discussed. Trilateration uses TOA to three beacons, while multilateration employs TDOA and does not require synchronization between nodes. Multilateration is preferred as it eliminates the need for extra synchronization
Massive Sensors Array for Precision Sensingoblu.io
More than a billion smartphones being sold annually and growing with CAGR of 16%, the smartphone industry has become a driving force in the development of ultralow-cost inertial sensors. Unfortunately, these ultra low-cost sensors do not yet meet the needs of more demanding applications like inertial navigation and biomedical motion tracking systems. However, by adapting a wisdom of the crowd’s thinking and design arrays consisting of hundreds of sensing elements, one can capitalize on the decreasing cost, size, and power-consumption of the sensors to construct virtual high-performance low-cost inertial sensors. Team at KTH, Sweden and WUSTL, USA share findings and challenges.
IRJET- Implementation of IoT based Dual Axis Photo-Voltaic Solar Tracker ...IRJET Journal
This document describes an IoT-based dual-axis solar tracker system with maximum power point tracking (MPPT) using a Raspberry Pi and NodeMCU. It calculates the sun's position using equations that take latitude, longitude, time and date as inputs to determine the azimuth and altitude angles without sensors. An MQTT protocol transmits data between the PV module (NodeMCU) and server (Node-RED) regarding voltage, current, angles, and duty cycle. Node-RED installed on the Raspberry Pi calculates the duty cycle to extract maximum power from the PV system using two servo motors to adjust the panel's position. Experimental results found a tracking error of 0.1° and 0.47° for altitude and
Time of arrival based localization in wireless sensor networks a non linear ...sipij
In this paper, we aim to obtain the location information of a sensor node deployed in a Wireless Sensor Network (WSN). Here, Time of Arrival based localization technique is considered. We calculate the position information of an unknown sensor node using the non- linear techniques. The performances of the techniques are compared with the Cramer Rao Lower bound (CRLB). Non-linear Least Squares and the Maximum Likelihood are the non-linear techniques that have been used to estimate the position of the unknown sensor node. Each of these non-linear techniques are iterative approaches, namely, Newton
Raphson estimate, Gauss Newton Estimate and the Steepest Descent estimate for comparison. Based on the
results of the simulation, the approaches have been compared. From the simulation study, Localization
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IRJET- Survey Paper on Human Following RobotIRJET Journal
The document summarizes research on developing an autonomous human following robot. It discusses using triangulation of radio signals from a tag worn by a human to calculate the tag's location using multiple antennas on the robot. The robot would use triangulation and received signal strength to determine the tag's position and direction to follow the human. It reviews several localization algorithms and navigation techniques used in other projects. The proposed method is to use triangulation of signals from three antennas to accurately calculate the tag's position and allow the robot to autonomously follow or be remotely controlled via Bluetooth.
This document presents a method for deriving equations to model the operation of a bistatic tracking radar (BTR) system. A BTR uses separate transmitter and receiver stations to detect and track targets. The document:
1) Uses triangulation geometry to model the positions and angles between the transmitter, receiver, and target.
2) Derives equations to calculate distances and antenna angles/directions based on initial target data and the propagation time delay.
3) Explains how the BTR system would use these equations to continuously track a maneuvering target by adjusting the transmitter antenna position based on receiver measurements and commands.
4) Presents simulation results validating the derived BTR modeling equations and tracking algorithm.
Abstract In this paper, localization of the robot is achieved by considering two Global Positioning Systems (GPS) or DGPS. Differential Global Positioning System (DGPS) is interfaced with MBED with the help of Zigbee protocol. For accurate localization of mobile robot DGPS is preferred. Filters are used to remove the erroneous noise from the data obtained from GPS. Low pass IIR filter for DGPS is realized. The project work discusses each of these approaches for localization in Outdoor environment. The above algorithm is implemented on MBED Platform. Simulation results are extracted using Matlab. Keywords—localization, Outdoor environment, Low pass IIR filter, DGPS, MBED
This document summarizes the accuracy of tracking radar systems. It discusses the monopulse concept of tracking targets using sum and difference patterns. It examines limitations to tracking accuracy from receiver noise, multipath effects, and antenna pattern generation. Simulation results show that narrower beamwidths and knowledge of target behavior can help reduce errors from multipath. Receiver noise error decreases with higher signal-to-noise ratios and more integrated pulses. Multipath causes angle tracking errors that depend on antenna height, target height, and range.
Abstract - In wireless sensor network, energy efficiency is a major concern as the sensors have minimum energy capacity. As the sensor energy consumption plays a vital role in determining the network lifetime, many strategies have been proposed for energy conservation. One of them is mobile data gathering (MDG).In Mobile Data Gathering either the sink can go on tour to collect the data or a Mobile Data Collector (MDC) can collect the data from sensors and drops them back to the static sink. In this paper, static sink with mobile data collector is considered for the topic of interest. The mobile data collector will reach the cluster of sensors at some appropriate locations called as anchor points. For the formation of clusters, many algorithms have been proposed so far, two of them , Square Grid based Clustering (SGC) and Sensor Transmission based Clustering (STC) are analysed here for the selection of anchors in the anchor based mobile data gathering approach.
Three Element Beam forming Algorithm with Reduced Interference Effect in Sign...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
Investigations on real time RSSI based outdoor target tracking using kalman f...IJECEIAES
Target tracking is essential for localization and many other applications in Wireless Sensor Networks (WSNs). Kalman filter is used to reduce measurement noise in target tracking. In this research TelosB motes are used to measure Received Signal Strength Indication (RSSI). RSSI measurement doesn‟t require any external hardware compare to other distance estimation methods such as Time of Arrival (TOA), Time Difference of Arrival (TDoA) and Angle of Arrival (AoA). Distances between beacon and non-anchor nodes are estimated using the measured RSSI values. Position of the nonanchor node is estimated after finding the distance between beacon and nonanchor nodes. A new algorithm is proposed with Kalman filter for location estimation and target tracking in order to improve localization accuracy called as MoteTrack InOut system. This system is implemented in real time for indoor and outdoor tracking. Localization error reduction obtained in an outdoor environment is 75%.
Calibration of Geomagnetic and Soil Temperatur Sensor for Earthquake Early Wa...TELKOMNIKA JOURNAL
The document describes the calibration of sensors for an earthquake early warning system. Specifically, it calibrates a geomagnetic sensor (MAG3110) and soil temperature sensor (DHT11) by comparing their measurements to standard instruments. For the magnetic sensor, the calibration found standard deviations of 8.5, 2.66, and 1.9 for the x, y, and z axes respectively. For the temperature sensor, the standard deviation was 0.1161. Properly calibrating the sensors improves the accuracy of measurements for predicting earthquakes.
Preliminary Research on Data Abnormality Diagnosis Methods of Spacecraft Prec...IJERA Editor
For precision measuring the satellite equipments, providing technical support for satellite assembly, combined
with satellite small size, complex structure, satellite equipment shapes vary, and other characteristics, presently,
indirect method that using electronic theodolite to measure cube mirror are commonly used to obtain the relative
attitude of the respective devices. But in the actual measurement process, there are measurement errors in the
measurement data. How to detect anomalies in the data is the focus of this study. This paper proposes two
methods to detect abnormal data, that is mathematical geometric method and outlier detection methods. This
paper analyzes their theoretical basis and verifies the feasibility of the two methods through part of the actual
measurement data to.
Anchor Positioning using Sensor Transmission Range Based Clustering for Mobil...ijdmtaiir
This document summarizes and compares two algorithms for selecting anchor points for mobile data collection in wireless sensor networks: Square Grid Clustering (SGC) and Sensor Transmission based Clustering (STC). SGC divides the deployment area into a grid and uses the centroid of each grid cell as an anchor point. STC clusters sensors based on their transmission range and uses the centroid of each cluster as an anchor point. The document finds that STC typically results in fewer anchor points than SGC and lower round-trip times for the mobile data collector. An analysis of the algorithms using sample sensor networks shows that STC outperforms SGC in anchor point selection and data collection efficiency.
Iaetsd concepts of surveying with totalstation-a latestIaetsd Iaetsd
This document provides an overview of surveying with a total station, which is a modern surveying instrument that integrates an electronic theodolite, distance measuring instrument, and computer. It discusses the components and functions of a total station, including the gun, batteries, environmental box, data collector, focus adjustment knobs, and data screens. The document also covers electronic distance measurement, basic mapping terms, and advantages of using a total station compared to traditional surveying methods.
Analysis of Obstacle Detection Using Ultrasonic SensorIRJET Journal
This document summarizes a study that used an ultrasonic sensor on a LEGO Mindstorm EV3 robot to detect and classify obstacles. The robot was programmed to slow down when a certain distance from an obstruction and stop when 15 cm away. Distance measurements were taken for 5 materials - wood, paper, cloth, plastic, and metal. Overall, the ultrasonic sensor was highly correlated at measuring distances of different materials but was very poor at classifying materials based on distance measurements alone. The aim of the study was to analyze obstacle detection using ultrasonic sensors to potentially benefit auto safety systems.
Similar to 2D localization systems of a mobile object based on the propagation time of signal, using synchronous and asynchronous distance measurement systems (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.
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.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
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.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.