This document presents an indoor positioning system that uses magnetic positioning and Bluetooth Low Energy (BLE) beacons. It discusses how magnetic positioning works by detecting disturbances in the Earth's magnetic field caused by structural elements in buildings. An Android application is proposed that would collect magnetic fingerprints using the phone's magnetometer and send them to IndoorAtlas' API to determine the user's location. BLE beacons would also be used to improve positioning accuracy. The system does not require dedicated infrastructure. Magnetic positioning coupled with BLE allows for accurate indoor localization without extra hardware costs. It is presented as a potential standard for indoor positioning systems.
IRJET- Personal Assistant for Visually Impaired People in MallsIRJET Journal
This document proposes a personal assistant system for visually impaired people navigating indoor areas like malls using WiFi fingerprinting. The system uses existing WiFi access points to locate a user's position by comparing received signal strength indicator (RSSI) values to a database of reference points mapped to specific locations. It determines the shortest route between locations using Dijkstra's algorithm on a graph of reference points. The system was designed to help the large visually impaired population navigate complex indoor areas more easily using a mobile app and WiFi positioning without the need for additional infrastructure deployment. It aims to provide an indoor location system as an alternative to GPS which does not work well inside buildings.
IRJET- IOT based Intrusion Detection and Tracking SystemIRJET Journal
The document describes a proposed IoT-based intrusion detection and tracking system using a Raspberry Pi. A PIR sensor is used for motion detection and sends alerts to the Raspberry Pi upon detecting motion. The Raspberry Pi then sends an email alert to the user. It also uses a camera module to capture video of any intruders which is uploaded to the cloud for object tracking using a TLD (tracking-learning-detection) framework. This allows the system to not only detect intrusions but also track detected objects in the video frames in real-time. The proposed system provides improvements over existing systems by enabling video surveillance and using more powerful hardware like the Raspberry Pi for real-time object tracking.
Implementation of embedded real time monitoring temperature and humidity systemJournal Papers
This document describes the implementation of an embedded real-time temperature and humidity monitoring system using Arduino for Internet of Things (IoT) applications. An Arduino microcontroller is connected to a DHT22 temperature and humidity sensor and a Dragino LoRa shield to transmit sensor readings wirelessly via LoRaWAN to a Node-RED dashboard interface. The system was deployed both indoors and outdoors to monitor temperature and humidity levels and investigate their relationship to environmental conditions. Indoor tests showed temperature and humidity increased with higher floor elevations, while outdoor readings were higher during the day than night and humidity increased as temperature decreased at night.
This document presents the final report for a project to develop an indoor positioning system (IPS) as part of the UK Future Care and Cities Unlocked projects. The system uses ultrasound time-difference-of-arrival triangulation to locate a wearable receiver band within 50cm accuracy. It consists of ultrasound transmitting nodes placed around rooms, a receiver band, a coordinating hub computer, and a smartphone app. The document describes the design and testing of each component and how they work together to locate the band. Evaluation of the full system achieved a spatial resolution of 27cm.
Mobile devices - and Apps - can define the location of the user so any venue can trigger any type of content or interaction on the phone. Different location analysing technologies, like GPS, Wifi or Beacons have different advantages and limitations, specially when it comes to huge indoor areas, like Airports, Hotels, Museums, Malls or Expo Venues. But there is may one perfect solution above all: Magnetic Field Based technologies, like IndoorAtlas.
An indoor positioning system uses sensors in mobile devices to locate objects and people inside buildings where GPS signals are blocked. It relies on distance measurement to WiFi access points, beacons, or magnetic positioning rather than satellites. Beacons are small hardware devices that use Bluetooth to transmit messages to nearby phones and tablets, helping locate users within indoor spaces. Indoor positioning systems have applications in transportation hubs, universities, hospitals, malls, and offices such as providing customized content or helping passengers reclaim lost baggage.
This document describes an indoor positioning system that uses Bluetooth Low Energy (BLE) beacons to locate people inside buildings. It uses an Android app to collect signal strength data from nearby beacons, which is sent to a Flask server running on a Raspberry Pi. A trilateration algorithm on the server calculates the user's position based on distances estimated from the signal strengths. A Python curses GUI then displays the user's location in real-time. The system was found to provide efficient and accurate indoor positioning using BLE beacons and the described client-server architecture.
IRJET- Personal Assistant for Visually Impaired People in MallsIRJET Journal
This document proposes a personal assistant system for visually impaired people navigating indoor areas like malls using WiFi fingerprinting. The system uses existing WiFi access points to locate a user's position by comparing received signal strength indicator (RSSI) values to a database of reference points mapped to specific locations. It determines the shortest route between locations using Dijkstra's algorithm on a graph of reference points. The system was designed to help the large visually impaired population navigate complex indoor areas more easily using a mobile app and WiFi positioning without the need for additional infrastructure deployment. It aims to provide an indoor location system as an alternative to GPS which does not work well inside buildings.
IRJET- IOT based Intrusion Detection and Tracking SystemIRJET Journal
The document describes a proposed IoT-based intrusion detection and tracking system using a Raspberry Pi. A PIR sensor is used for motion detection and sends alerts to the Raspberry Pi upon detecting motion. The Raspberry Pi then sends an email alert to the user. It also uses a camera module to capture video of any intruders which is uploaded to the cloud for object tracking using a TLD (tracking-learning-detection) framework. This allows the system to not only detect intrusions but also track detected objects in the video frames in real-time. The proposed system provides improvements over existing systems by enabling video surveillance and using more powerful hardware like the Raspberry Pi for real-time object tracking.
Implementation of embedded real time monitoring temperature and humidity systemJournal Papers
This document describes the implementation of an embedded real-time temperature and humidity monitoring system using Arduino for Internet of Things (IoT) applications. An Arduino microcontroller is connected to a DHT22 temperature and humidity sensor and a Dragino LoRa shield to transmit sensor readings wirelessly via LoRaWAN to a Node-RED dashboard interface. The system was deployed both indoors and outdoors to monitor temperature and humidity levels and investigate their relationship to environmental conditions. Indoor tests showed temperature and humidity increased with higher floor elevations, while outdoor readings were higher during the day than night and humidity increased as temperature decreased at night.
This document presents the final report for a project to develop an indoor positioning system (IPS) as part of the UK Future Care and Cities Unlocked projects. The system uses ultrasound time-difference-of-arrival triangulation to locate a wearable receiver band within 50cm accuracy. It consists of ultrasound transmitting nodes placed around rooms, a receiver band, a coordinating hub computer, and a smartphone app. The document describes the design and testing of each component and how they work together to locate the band. Evaluation of the full system achieved a spatial resolution of 27cm.
Mobile devices - and Apps - can define the location of the user so any venue can trigger any type of content or interaction on the phone. Different location analysing technologies, like GPS, Wifi or Beacons have different advantages and limitations, specially when it comes to huge indoor areas, like Airports, Hotels, Museums, Malls or Expo Venues. But there is may one perfect solution above all: Magnetic Field Based technologies, like IndoorAtlas.
An indoor positioning system uses sensors in mobile devices to locate objects and people inside buildings where GPS signals are blocked. It relies on distance measurement to WiFi access points, beacons, or magnetic positioning rather than satellites. Beacons are small hardware devices that use Bluetooth to transmit messages to nearby phones and tablets, helping locate users within indoor spaces. Indoor positioning systems have applications in transportation hubs, universities, hospitals, malls, and offices such as providing customized content or helping passengers reclaim lost baggage.
This document describes an indoor positioning system that uses Bluetooth Low Energy (BLE) beacons to locate people inside buildings. It uses an Android app to collect signal strength data from nearby beacons, which is sent to a Flask server running on a Raspberry Pi. A trilateration algorithm on the server calculates the user's position based on distances estimated from the signal strengths. A Python curses GUI then displays the user's location in real-time. The system was found to provide efficient and accurate indoor positioning using BLE beacons and the described client-server architecture.
Environmental Monitoring using Wireless Sensor Networks (WSN) based on IOT.IRJET Journal
This document describes a wireless sensor network system for environmental monitoring using Internet of Things (IoT) technology. Key points:
- Sensor nodes collect data from sensors and send it wirelessly to a Raspberry Pi base station using a Zigbee protocol. The base station sends the data to a cloud server.
- The system monitors parameters like temperature, humidity, CO2, and vibration. Real-time sensor data is fetched by a web server and displayed to users via the Internet.
- The Raspberry Pi acts as the base station, connecting to multiple sensor nodes. It contains a database and web server to store and display the sensor data remotely.
- Common sensor nodes used include MQ2 and
Secure Distributed Collection of Data Using Participator Sensing ParadigmIJERA Editor
Distributed collection of data has been made possible with the deployment of sensor devices across many
geographical areas. Mobile phone users who employ sensors to acquire local knowledge pertaining to
temperature, product pricing, transportation facilities and so on can participate in the network that is distributed
in nature. Such network can acquire varied knowledge from diversified geographical locations. This kind of
knowledge acquisition from across the globe is known as participatory sensing (PS). Of late it has become
ubiquitous and rigorous research is on this field. Cristofaro and Soriente studied the operations of PS recently
and came to know the fact that participation of mobile users is at risk when incentives or not considered and the
users’ privacy is at stake. Their framework could provide privacy besides improving the rate of mobile user
participation in PS. However, their solution can be enhanced with respect to query privacy in the operations of
PS. Towards this end we propose a framework that incorporates TLS security among the network so as to ensure
foolproof security in the distributed collection of data through participatory sensing.
There are many advantages to being able to track in real-time the movement of things or humans.
This is especially important in tracking goods in the supply chain, in security and also in health and safety.
The Global Positioning Satellite (GPS) system works well in outdoor environments but it cannot track items
indoors. There is also the problem of power hungry sensor chips inherent in some GPS trackers. Mobile
Cellular triangulation also works well for many outdoor solutions but problems with cost, accuracy and
reliability make it difficult to deploy for indoor tracking scenarions. The levels of accuracy can vary by up to
50 meters which hinder its ability for adoption in many use case scenarios. There are also problems with
poor cellular coverage in rural areas. Solutions built on WiFi–the IEEE 802.11 standard overcome many of
these issues. WiFi location tracking works via sampling of the received signal strength (RSS) which along
with triangulation and prior mapping allows systems to locate items or humans with fine-granularity. This
WiFi fingerprinting is a viable cost-effective approach to determining movement within indoor enviroments.
This paper presents an overview of popular techniques and off-the-shelf solutions which can be used to
determine movement of people and objects indoors. We outline the Locator frameworks which is built on
both active and passive indoor localisation techniques for tracking movement within indoor environments.
IRJET- A Novel Mechanism for Clone Attack Detection in Hybrid IoT DevicesIRJET Journal
This document proposes a new method called MDSClone for detecting clone attacks in hybrid IoT networks. MDSClone uses multidimensional scaling (MDS) to generate a network map based on relative distances between nodes, without requiring knowledge of node locations. This overcomes limitations of existing methods that rely on node geography or assume static networks. MDSClone can detect clones in hybrid networks containing both static and mobile nodes. It parallelizes parts of the detection process to speed up clone identification. The method is designed specifically for IoT environments where nodes may lack accurate location data and have varying mobility.
Report-Fog Based Emergency System For Smart Enhanced Living EnvironmentKEERTHANA M
Report-An ambient assisted-living emergency system exploits cloud and fog computing, an outdoor positioning mechanism, and emergency and communication protocols to locate activity-challenged individuals.
This document summarizes Arpan Pal's presentation on communication and signal processing technologies for intelligent infrastructure and cyber-physical systems. It outlines the challenges of reducing communication costs, preserving battery power, and extracting information from noisy sensor data. It then provides examples of applying these technologies to intelligent transportation systems using accelerometer analytics on buses to analyze road conditions, home energy management through non-intrusive load monitoring of energy meter data, and mobile phone-based wellness applications using sensors to count steps, measure pulse, and classify activities. It also introduces RIPSAC, a generic platform developed by TCS for Internet of Things applications.
An IOT Based Low Power Health Monitoring with Active Personal Assistanceijtsrd
Among sensible goals of active and assisted living paradigm is the unobtrusive monitoring of daily living activities. A lot of research has been going on continuous home and personal monitoring applications. There are many solutions were adapted by these technologies to make better remote monitoring applications. The traditional continuous home and personal monitoring systems which are implemented with traditional client server architecture which may fail in factors like low power consumption, un deterministic data delivery time, More sensitive to external connectivity issues temporary failures of servers , adhoc networks using ZigBee and Z wave etc. and also increase the cost of implementation. However, when dealing with the home environment, and especially with older adults, obtrusiveness, usability, and cost concerns are of the utmost relevance for active and assisted Living AAL joint program. With advent of cloud services, the continuous remote monitoring based applications became truly plug and play' approach implementation and also reduce the problems of temporary failures. One of the biggest challenges in this area is to make such application devices work with low power battery based applications . The main drawback comes from the higher power consumption, inherently needed to sustain much higher data rates. In this project, a solution is proposed to improve the low power consumption in Wi Fi sensors by making use of advanced RF based Microprocessor from Texas instruments CC3200 . Bed Occupancy sensor automation has been designed and implemented to test the feasibility of the approach. The TI CC3200 comes with ARM Cortex M4 as a core and inbuilt Wi Fi subsystem. The CC3200 provides different power modes to make the device enter into sleep or hibernate mode. This device will only enter only in work phase when the sensor is active state. During this phase, the processor sample and processes the sensor data and uploads to the cloud using REST API. Thing speak is an IoT cloud service used to present the sensory data as graphs, bar charts, and dashboards on the cloud remaining time it will enter into sleep phase to save the power of the device, so that it will extend the battery life time of the device. B. N. Meenakshi | Mrs. N. V. Durga "An IOT Based Low Power Health Monitoring with Active Personal Assistance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29603.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/29603/an-iot-based-low-power-health-monitoring-with-active-personal-assistance/b-n-meenakshi
1) The document describes a smart doorbell system that uses image recognition to identify visitors and control access to a home.
2) A Raspberry Pi connected to a camera captures images of visitors and compares them to a database of authorized individuals.
3) If the image matches someone in the database, the door will automatically unlock, but if not, an alert message will be sent to the homeowner. The system aims to remotely monitor and control home security.
IRJET- Smart and Ubiquitous Defense Monitoring System based on IoTIRJET Journal
This document describes a smart and ubiquitous defense monitoring system based on the Internet of Things (IoT) that is designed to provide security for individuals. The system uses sensors like a Global Positioning System (GPS), temperature sensor, heartbeat sensor, and Passive Infrared Sensor embedded in a wearable device. When the sensors detect an abnormal heartbeat rate or increase in temperature, indicating distress, the system automatically sends alerts with the person's location to registered contacts and nearby police stations using IoT technologies like SIM800A modules and WiFi. The system is implemented using an Arduino Uno microcontroller, embedded C programming, and the Proteus simulation software. It aims to help individuals in dangerous situations by quickly notifying authorities and
Indoor Tracking System. Detailed information and comparision between two efficient systems, RFID based and WIFI based. Made it referring two institutional research papers. ONLY FOR EDUCATIONAL PURPOSES! Never implemented! :P
OPTIMIZING SMART THINGS ADDRESSING THROUGH THE ZIGBEE-BASED INTERNET OF THINGSIJCNCJournal
Devices are becoming increasingly interconnected; linked with each other and with humans. The internet
of things(IoT) concept is currently used in machine to machine (M2M) applications like power, gas, and oil
utilities transmission and transport. The most profound challenge that IoT faces is how to connect several
very different devices into a network of things. In this regard, the standard for sending information between
devices supporting IoT is called ZigBee, also known as the IEEE 802.15.4-2006 standard: ZigBee is
indispensable to the functioning of the IoT. In this paper, OPNET has been used to simulate two quite
differently scaled Wireless Sensor Network environments. The two environments had quite different ZigBee
topologies; thus, an analysis of the performance in regard to each topology could be made. We
propose,ZigBee as optional addressing method for smart-things making up the smart world which
facilitates the transmission and analysis of data automatically.
Precision (Indoor) Real Time Location SystemsPeter Batty
This document summarizes an indoor real-time location system (RTLS) using ultrawideband (UWB) technology. It can track tags with 15cm accuracy. The system uses sensors to detect time-of-arrival of UWB signals from tags to determine precise 3D locations. Example applications discussed include tracking assets in manufacturing plants and ports with accuracy better than WiFi and RFID. The system has also been used to track soldiers in military training exercises, track vehicles and tools at BMW, and monitor dairy cows on farms.
IRJET- Body Sensor Network using Raspberry Pi3: IoTIRJET Journal
This document proposes a body sensor network system using a Raspberry Pi 3 that can monitor health parameters like temperature, heart rate, and detect emergencies by sending alerts to doctors and caregivers. The system uses various sensors connected to a Raspberry Pi 3 to measure vital signs, and if any parameters exceed thresholds, it sends notifications through WiFi to a server and alerts caregivers through SMS. The proposed system aims to remotely monitor patients in real-time using IoT technologies like sensors and cloud computing for improved healthcare.
Learning objective: The goal of this signature seminar is to examine the current trends that are driving the rapid growth in the use of Embedded Systems; what employers and solutions providers are looking for in talent, and how Aerotek and EASi can help to connect buyers and sellers in this vast marketplace.
As more and more mechanical and electrical devices rely heavily on embedded hardware and software to function effectively, the future of the already expansive embedded systems marketplace continues to look bright.
At the end of this seminar, participants will gain a greater awareness of:
a. The major trends that are driving the growth of Embedded Systems; specifically, Connectivity and the Internet of Things (IOT).
b. The types of Embedded Systems related solutions and skillsets that will be in demand in the future, and how Aerotek and EASi can help to connect buyers and sellers.
Office Automation & Attendance System using IoTIRJET Journal
This document describes an office automation and attendance tracking system using Internet of Things (IoT) technology. The system allows remote control of office appliances like lights and fans using a mobile app. It also uses RFID cards and readers to track employee attendance by time of entry and exit. The RFID data is sent to a cloud database using an ESP8266 WiFi module. This provides a contactless, secure way to track attendance. The system aims to automate office tasks and make appliance control and attendance tracking more efficient using IoT connectivity.
Smart home system is very popular in current days that give many kind of application that make all simple and easy to control. In modern day, home machines are using wireless equipment and can be retrieved by internet that will make populations life easier and organized. It based Home Computerization System is designed to assist the people with physical debilities and elderly to provide support as well as to control the electrical usages and monitor the room infection using mobile application. The design is using surrounded controller board and the home appliances are physically associated to output ports of this board via relays. The Home Automation is a wireless home computerization system that is supposed to be executed in existing home environments, without any variations in the infrastructure. Arun Kumar. N | Sathiyabama. T "Smart Security System (IOT)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29337.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/29337/smart-security-system-iot/arun-kumar-n
Although all of this may come soon, we still need to understand the myriad behind-the-scenes technology that makes dreams a reality. Without them, dreams will never be realized.
Secure remote protocol for fpga reconfigurationeSAT Journals
Abstract In most of the wireless sensor network nodes main functionality in software are implemented using CPU. Since total energy consumption of periodic measurement and network listening are considerably increased. In order to tackle this problem novel reconfigurable peripheral blocks are introduced into the WSN. For ultra-low-power sensor networks, finite state machines are used for simple tasks where the system’s microprocessor would be overqualified. This FSM unit autonomously handles simple sub-tasks of the periodic activities, Microprocessor to remain in a sleep state, thus saving energy. This work presents for implementing transition based reconfigurable FSM Keywords: - Finite State Machine (FSM), Reconfiguration, Wireless Sensor Network (WSN).
With the rapid development of
smartphone industry, various positioning-enabled
sensors such as GPS receivers, accelerometers,
gyroscopes, digital compasses, cameras, Wi-Fi and
Bluetooth have been built in smartphones for
communication, entertainment and location-based
services. Smartphone users can get their locations
fixed according to the function of GPS receiver.
This document proposes a real-time indoor navigation system that fuses Wi-Fi RSSI readings, IMU sensor data, and floor plan information using an enhanced particle filter. The system achieves high accuracy indoor localization on smartphones. Experimental results show the system can automatically recover from localization failures and achieve an average tracking error of 1.15 meters with 90% accuracy within 1.8 meters. The key aspects of the system include fusing Wi-Fi RSSI, IMU sensors, and a discretized graph-based floor plan representation into a particle filter for location estimation, and using efficient filtering to mitigate errors from low-quality IMUs and magnetic disturbances.
Environmental Monitoring using Wireless Sensor Networks (WSN) based on IOT.IRJET Journal
This document describes a wireless sensor network system for environmental monitoring using Internet of Things (IoT) technology. Key points:
- Sensor nodes collect data from sensors and send it wirelessly to a Raspberry Pi base station using a Zigbee protocol. The base station sends the data to a cloud server.
- The system monitors parameters like temperature, humidity, CO2, and vibration. Real-time sensor data is fetched by a web server and displayed to users via the Internet.
- The Raspberry Pi acts as the base station, connecting to multiple sensor nodes. It contains a database and web server to store and display the sensor data remotely.
- Common sensor nodes used include MQ2 and
Secure Distributed Collection of Data Using Participator Sensing ParadigmIJERA Editor
Distributed collection of data has been made possible with the deployment of sensor devices across many
geographical areas. Mobile phone users who employ sensors to acquire local knowledge pertaining to
temperature, product pricing, transportation facilities and so on can participate in the network that is distributed
in nature. Such network can acquire varied knowledge from diversified geographical locations. This kind of
knowledge acquisition from across the globe is known as participatory sensing (PS). Of late it has become
ubiquitous and rigorous research is on this field. Cristofaro and Soriente studied the operations of PS recently
and came to know the fact that participation of mobile users is at risk when incentives or not considered and the
users’ privacy is at stake. Their framework could provide privacy besides improving the rate of mobile user
participation in PS. However, their solution can be enhanced with respect to query privacy in the operations of
PS. Towards this end we propose a framework that incorporates TLS security among the network so as to ensure
foolproof security in the distributed collection of data through participatory sensing.
There are many advantages to being able to track in real-time the movement of things or humans.
This is especially important in tracking goods in the supply chain, in security and also in health and safety.
The Global Positioning Satellite (GPS) system works well in outdoor environments but it cannot track items
indoors. There is also the problem of power hungry sensor chips inherent in some GPS trackers. Mobile
Cellular triangulation also works well for many outdoor solutions but problems with cost, accuracy and
reliability make it difficult to deploy for indoor tracking scenarions. The levels of accuracy can vary by up to
50 meters which hinder its ability for adoption in many use case scenarios. There are also problems with
poor cellular coverage in rural areas. Solutions built on WiFi–the IEEE 802.11 standard overcome many of
these issues. WiFi location tracking works via sampling of the received signal strength (RSS) which along
with triangulation and prior mapping allows systems to locate items or humans with fine-granularity. This
WiFi fingerprinting is a viable cost-effective approach to determining movement within indoor enviroments.
This paper presents an overview of popular techniques and off-the-shelf solutions which can be used to
determine movement of people and objects indoors. We outline the Locator frameworks which is built on
both active and passive indoor localisation techniques for tracking movement within indoor environments.
IRJET- A Novel Mechanism for Clone Attack Detection in Hybrid IoT DevicesIRJET Journal
This document proposes a new method called MDSClone for detecting clone attacks in hybrid IoT networks. MDSClone uses multidimensional scaling (MDS) to generate a network map based on relative distances between nodes, without requiring knowledge of node locations. This overcomes limitations of existing methods that rely on node geography or assume static networks. MDSClone can detect clones in hybrid networks containing both static and mobile nodes. It parallelizes parts of the detection process to speed up clone identification. The method is designed specifically for IoT environments where nodes may lack accurate location data and have varying mobility.
Report-Fog Based Emergency System For Smart Enhanced Living EnvironmentKEERTHANA M
Report-An ambient assisted-living emergency system exploits cloud and fog computing, an outdoor positioning mechanism, and emergency and communication protocols to locate activity-challenged individuals.
This document summarizes Arpan Pal's presentation on communication and signal processing technologies for intelligent infrastructure and cyber-physical systems. It outlines the challenges of reducing communication costs, preserving battery power, and extracting information from noisy sensor data. It then provides examples of applying these technologies to intelligent transportation systems using accelerometer analytics on buses to analyze road conditions, home energy management through non-intrusive load monitoring of energy meter data, and mobile phone-based wellness applications using sensors to count steps, measure pulse, and classify activities. It also introduces RIPSAC, a generic platform developed by TCS for Internet of Things applications.
An IOT Based Low Power Health Monitoring with Active Personal Assistanceijtsrd
Among sensible goals of active and assisted living paradigm is the unobtrusive monitoring of daily living activities. A lot of research has been going on continuous home and personal monitoring applications. There are many solutions were adapted by these technologies to make better remote monitoring applications. The traditional continuous home and personal monitoring systems which are implemented with traditional client server architecture which may fail in factors like low power consumption, un deterministic data delivery time, More sensitive to external connectivity issues temporary failures of servers , adhoc networks using ZigBee and Z wave etc. and also increase the cost of implementation. However, when dealing with the home environment, and especially with older adults, obtrusiveness, usability, and cost concerns are of the utmost relevance for active and assisted Living AAL joint program. With advent of cloud services, the continuous remote monitoring based applications became truly plug and play' approach implementation and also reduce the problems of temporary failures. One of the biggest challenges in this area is to make such application devices work with low power battery based applications . The main drawback comes from the higher power consumption, inherently needed to sustain much higher data rates. In this project, a solution is proposed to improve the low power consumption in Wi Fi sensors by making use of advanced RF based Microprocessor from Texas instruments CC3200 . Bed Occupancy sensor automation has been designed and implemented to test the feasibility of the approach. The TI CC3200 comes with ARM Cortex M4 as a core and inbuilt Wi Fi subsystem. The CC3200 provides different power modes to make the device enter into sleep or hibernate mode. This device will only enter only in work phase when the sensor is active state. During this phase, the processor sample and processes the sensor data and uploads to the cloud using REST API. Thing speak is an IoT cloud service used to present the sensory data as graphs, bar charts, and dashboards on the cloud remaining time it will enter into sleep phase to save the power of the device, so that it will extend the battery life time of the device. B. N. Meenakshi | Mrs. N. V. Durga "An IOT Based Low Power Health Monitoring with Active Personal Assistance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29603.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/29603/an-iot-based-low-power-health-monitoring-with-active-personal-assistance/b-n-meenakshi
1) The document describes a smart doorbell system that uses image recognition to identify visitors and control access to a home.
2) A Raspberry Pi connected to a camera captures images of visitors and compares them to a database of authorized individuals.
3) If the image matches someone in the database, the door will automatically unlock, but if not, an alert message will be sent to the homeowner. The system aims to remotely monitor and control home security.
IRJET- Smart and Ubiquitous Defense Monitoring System based on IoTIRJET Journal
This document describes a smart and ubiquitous defense monitoring system based on the Internet of Things (IoT) that is designed to provide security for individuals. The system uses sensors like a Global Positioning System (GPS), temperature sensor, heartbeat sensor, and Passive Infrared Sensor embedded in a wearable device. When the sensors detect an abnormal heartbeat rate or increase in temperature, indicating distress, the system automatically sends alerts with the person's location to registered contacts and nearby police stations using IoT technologies like SIM800A modules and WiFi. The system is implemented using an Arduino Uno microcontroller, embedded C programming, and the Proteus simulation software. It aims to help individuals in dangerous situations by quickly notifying authorities and
Indoor Tracking System. Detailed information and comparision between two efficient systems, RFID based and WIFI based. Made it referring two institutional research papers. ONLY FOR EDUCATIONAL PURPOSES! Never implemented! :P
OPTIMIZING SMART THINGS ADDRESSING THROUGH THE ZIGBEE-BASED INTERNET OF THINGSIJCNCJournal
Devices are becoming increasingly interconnected; linked with each other and with humans. The internet
of things(IoT) concept is currently used in machine to machine (M2M) applications like power, gas, and oil
utilities transmission and transport. The most profound challenge that IoT faces is how to connect several
very different devices into a network of things. In this regard, the standard for sending information between
devices supporting IoT is called ZigBee, also known as the IEEE 802.15.4-2006 standard: ZigBee is
indispensable to the functioning of the IoT. In this paper, OPNET has been used to simulate two quite
differently scaled Wireless Sensor Network environments. The two environments had quite different ZigBee
topologies; thus, an analysis of the performance in regard to each topology could be made. We
propose,ZigBee as optional addressing method for smart-things making up the smart world which
facilitates the transmission and analysis of data automatically.
Precision (Indoor) Real Time Location SystemsPeter Batty
This document summarizes an indoor real-time location system (RTLS) using ultrawideband (UWB) technology. It can track tags with 15cm accuracy. The system uses sensors to detect time-of-arrival of UWB signals from tags to determine precise 3D locations. Example applications discussed include tracking assets in manufacturing plants and ports with accuracy better than WiFi and RFID. The system has also been used to track soldiers in military training exercises, track vehicles and tools at BMW, and monitor dairy cows on farms.
IRJET- Body Sensor Network using Raspberry Pi3: IoTIRJET Journal
This document proposes a body sensor network system using a Raspberry Pi 3 that can monitor health parameters like temperature, heart rate, and detect emergencies by sending alerts to doctors and caregivers. The system uses various sensors connected to a Raspberry Pi 3 to measure vital signs, and if any parameters exceed thresholds, it sends notifications through WiFi to a server and alerts caregivers through SMS. The proposed system aims to remotely monitor patients in real-time using IoT technologies like sensors and cloud computing for improved healthcare.
Learning objective: The goal of this signature seminar is to examine the current trends that are driving the rapid growth in the use of Embedded Systems; what employers and solutions providers are looking for in talent, and how Aerotek and EASi can help to connect buyers and sellers in this vast marketplace.
As more and more mechanical and electrical devices rely heavily on embedded hardware and software to function effectively, the future of the already expansive embedded systems marketplace continues to look bright.
At the end of this seminar, participants will gain a greater awareness of:
a. The major trends that are driving the growth of Embedded Systems; specifically, Connectivity and the Internet of Things (IOT).
b. The types of Embedded Systems related solutions and skillsets that will be in demand in the future, and how Aerotek and EASi can help to connect buyers and sellers.
Office Automation & Attendance System using IoTIRJET Journal
This document describes an office automation and attendance tracking system using Internet of Things (IoT) technology. The system allows remote control of office appliances like lights and fans using a mobile app. It also uses RFID cards and readers to track employee attendance by time of entry and exit. The RFID data is sent to a cloud database using an ESP8266 WiFi module. This provides a contactless, secure way to track attendance. The system aims to automate office tasks and make appliance control and attendance tracking more efficient using IoT connectivity.
Smart home system is very popular in current days that give many kind of application that make all simple and easy to control. In modern day, home machines are using wireless equipment and can be retrieved by internet that will make populations life easier and organized. It based Home Computerization System is designed to assist the people with physical debilities and elderly to provide support as well as to control the electrical usages and monitor the room infection using mobile application. The design is using surrounded controller board and the home appliances are physically associated to output ports of this board via relays. The Home Automation is a wireless home computerization system that is supposed to be executed in existing home environments, without any variations in the infrastructure. Arun Kumar. N | Sathiyabama. T "Smart Security System (IOT)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29337.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/29337/smart-security-system-iot/arun-kumar-n
Although all of this may come soon, we still need to understand the myriad behind-the-scenes technology that makes dreams a reality. Without them, dreams will never be realized.
Secure remote protocol for fpga reconfigurationeSAT Journals
Abstract In most of the wireless sensor network nodes main functionality in software are implemented using CPU. Since total energy consumption of periodic measurement and network listening are considerably increased. In order to tackle this problem novel reconfigurable peripheral blocks are introduced into the WSN. For ultra-low-power sensor networks, finite state machines are used for simple tasks where the system’s microprocessor would be overqualified. This FSM unit autonomously handles simple sub-tasks of the periodic activities, Microprocessor to remain in a sleep state, thus saving energy. This work presents for implementing transition based reconfigurable FSM Keywords: - Finite State Machine (FSM), Reconfiguration, Wireless Sensor Network (WSN).
With the rapid development of
smartphone industry, various positioning-enabled
sensors such as GPS receivers, accelerometers,
gyroscopes, digital compasses, cameras, Wi-Fi and
Bluetooth have been built in smartphones for
communication, entertainment and location-based
services. Smartphone users can get their locations
fixed according to the function of GPS receiver.
This document proposes a real-time indoor navigation system that fuses Wi-Fi RSSI readings, IMU sensor data, and floor plan information using an enhanced particle filter. The system achieves high accuracy indoor localization on smartphones. Experimental results show the system can automatically recover from localization failures and achieve an average tracking error of 1.15 meters with 90% accuracy within 1.8 meters. The key aspects of the system include fusing Wi-Fi RSSI, IMU sensors, and a discretized graph-based floor plan representation into a particle filter for location estimation, and using efficient filtering to mitigate errors from low-quality IMUs and magnetic disturbances.
A genetic based indoor positioning algorithm using Wi-Fi received signal stre...IAESIJAI
The recent trend in location-based services has led to a proliferation of studies in indoor positioning technology. Wi-Fi received signal strength indicator (RSSI) Fingerprinting and pedestrian dead reckoning (PDR) are the two best representatives from both approaches. This research proposed a genetic algorithm to combine Wi-Fi Fingerprinting and PDR. By taking advantage of PDR and genetic algorithm, we only need to collect a limited number of points for the fingerprint dataset with known coordinates, then target trajectories' position can be estimated with high accuracy. Results from our experiments and simulations have shown that even in the scenario of noisy inertial measurement unit (IMU) sensors data, using RSSI measurements and the coordinate of 8 points, our proposed method was able to achieve 1.589 meters of average distance error which is 34.4 percent lower than the conventional Fingerprinting method.
The document describes an indoor positioning system that uses Wi-Fi fingerprinting. It discusses collecting Wi-Fi signals from access points at reference points throughout a building to create a radio map database. A mobile application then determines the user's location by comparing currently observed Wi-Fi signals to those in the database using a localization algorithm. The system was implemented in an Android application for a college building that already had Wi-Fi access points installed.
Smart Frame - A Location Sensing Picture Frame using IOTrahulmonikasharma
To make communication easier, We have created a IOT Location Sensing Picture Frame. A decorative item which acts smart to tell the user the location of their family member. Each family member has a photo of themselves in the picture frame. Each photo has a corresponding strip of lights that is controlled by an app which runs in the background of the designated family member’s smart phone. The lights are programmed to display colors in a spectrum ranging from red to green. Even the app is designed in such a way that a panic alert can be sent to the emergency contact and alert will be depicted in the photo frame with red lights and a buzzer.
Abstract: Wireless location finding is one of the key technologies for wireless sensor networks. GPS is the technology used but it can be used for the outdoor location. When we deal with the indoor locations GPS does not work. Indoor locations include buildings like supermarkets, big malls, parking, universities, and locations under the same roof. In these areas the accuracy of the GPS location is greatly reduced. Location showed on the map in not correct when the GPS is used under the indoor environments. But for the indoor localization it requires the higher accuracy sp GPS is not feasible for the current view. And also when the GPS is used in the mobile device it consumes a lot of the mobile battery to run the application which causes the drainage of the mobile battery within some hours. So to find out the accurate location for indoor environment we use the RSSI based trilateral localization algorithm. The algorithm has the low cost and the algorithm does not require any additional hardware support and moreover the algorithm is easy to understand. The algorithm consumes very less battery as compared to the battery consumption of the GPS. Because of these this algorithm has become the mainstream localization algorithm in the wireless sensor networks. With the development of the wireless sensor networks and the smart devices the WIFI access points are also increasing. The mobile smart devices detect three or more known WIFI hotspots positions. And using the values from the WIFI routers it calculates the current location of the mobile device. In this paper we have proposed a system so that we can find out the exact location of the mobile device under the indoor environment and can navigate to the destination using the navigation function and also can enable the low consumption of the smart mobile battery for the tracking purpose.
Goals:
1. Useful at the places where GPS cannot work
2. Reduces the battery consumption
3. Routers are used.
4. Provides the path as well as the information of the location as per the requirement of user.
With the rapid development of smartphone industry,
various positioning-enabled sensors such as GPS receivers,
accelerometers, gyroscopes, digital compasses, cameras, WiFi and Bluetooth have been built in smartphones for
communication, entertainment and location-based services.
Smartphone users can get their locations fixed according to
the function of GPS receiver.
IRJET- A System for Indoor Navigation: GuideIt - Personal AssistantIRJET Journal
The document describes a proposed Android application called GuideIt that aims to provide indoor navigation assistance using step counting and augmented reality. The application would use sensors like the accelerometer and GPS on a smartphone, along with image recognition, to guide users inside complex indoor environments like malls, universities, and hospitals. It discusses related indoor navigation technologies and the limitations of GPS for indoor use. The proposed application seeks to offer a low-cost indoor navigation solution by counting a user's steps based on a path recorded previously by an administrator and providing turn-by-turn voice directions.
The document discusses location-based technologies and mobile UI/UX mistakes to avoid. It defines location-based technology and services, and discusses advantages like store locators, proximity marketing, and fraud prevention. It then covers different location technologies like GPS, WiFi, Bluetooth, and beacons. The future of location services is predicted to grow as privacy concerns are addressed and mobile internet access increases.
IRJET- A Survey on Child Safety & Tracking Management SystemIRJET Journal
This document summarizes a research paper on a child safety and tracking management system using mobile phones. The system allows parents to monitor their child's location in real-time using GPS and set up geographical boundaries. It also allows children to send emergency SMS messages with their location if needed. The system is designed as an Android application to take advantage of the GPS, geo-fencing, and SMS capabilities on Android phones. It aims to help parents keep their children safe by knowing their locations and setting alerts if they leave approved areas.
Development of real-time indoor human tracking system using LoRa technology IJECEIAES
The document describes the development of a real-time indoor human tracking system using LoRa technology. The system uses received signal strength indication (RSSI) to determine the location of employees by measuring the signal strength between a LoRa tracker attached to employees and a LoRa gateway. Eight evaluation scenarios are considered that vary the size of the area, number of obstacles, and height of the tracker and gateway. Testing of the system showed it has high precision and reliability for locating employees across different indoor environments.
IRJET- IoT based Vehicle Tracking using GPSIRJET Journal
This document describes a vehicle tracking system using GPS and an Android application. It aims to reduce waiting times for bus students by informing them of bus arrival and departure times in real-time. The system uses GPS devices in buses to track their locations and an Android app to update students. It discusses how embedded systems and GPS work, and reviews previous research on bus tracking systems. The document outlines the system design, including how the Android app integrates maps and utilizes GPS, GSM, and a centralized database. It concludes the proposed system could resolve issues with current manual tracking while improving transportation services.
Wi-Fi fingerprinting-based floor detection using adaptive scaling and weighte...CSITiaesprime
In practical applications, accurate floor determination in multi-building/floor environments is particularly useful and plays an increasingly crucial role in the performance of location-based services. An accurate and robust building and floor detection can reduce the location search space and ameliorate the positioning and wayfinding accuracy. As an efficient solution, this paper proposes a floor identification method that exploits statistical properties of wireless access point propagated signals to exponent received signal strength (RSS) in the radio map. Then, using single-layer extreme learning machine-weighted autoencoder (ELM-WAE) main feature extraction and dimensional reduction is implemented. Finally, ELM based classifier is trained over a new feature space to determine floor level. For the efficiency evaluation of our proposed model, we utilized three different datasets captured in the real scenarios. The evaluation result shows that the proposed model can achieve state-of-art performance and improve the accuracy of floor detection compared with multiple recent techniques. In this way, the floor level can be identified with 97.30%, 95.32%, and 96.39% on UJIIndoorLoc, Tampere, and UTSIndoorLoc datasets, respectively.
1) Fog computing is an extension of cloud computing that processes data closer to the edge of the network, such as at factory equipment, power poles, or vehicles. It aims to improve efficiency and reduce data transportation costs compared to cloud computing alone.
2) Fog computing involves fog nodes that are located between end devices and the cloud. Fog nodes can perform tasks like data analysis, storage, and sharing results with the cloud and other nodes. This helps process time-sensitive data locally for applications involving the internet of things.
3) Fog computing provides advantages over cloud computing like lower latency, better support for mobility and real-time interactions, local data processing for privacy and efficiency, and ability to handle
The proposed System for Indoor Location TrackingEditor IJCATR
Indoor location tracking systems are used to locate people or certain objects in buildings and in closed areas. For example,
finding co-workers in a large office building, locating customers within a shopping mall and locating patients in the hospital are a few
applications of indoor location tracking systems. Indoor tracking capability opens up multiple possibilities. To address this need, this
paper describes the implementation of a Bluetooth-based indoor location tracking system that utilizes the integrated Bluetooth modules
in any today's mobile phones to specify and display the location of the individuals in a certain building. The proposed system aims for
location tracking/monitoring and marketing applications for whom want to locate individuals carrying mobile phones and advertise
products and services.
Smart Geo-Fencing Based reminder services on To-Do-ListIRJET Journal
This document describes a smart geo-fencing system that uses location-based notifications to remind users about tasks on their to-do lists. The system allows retailers to create geo-fences around their locations and send notifications to users when they enter or exit those areas. It consists of a mobile application for users and a web application for retailers to manage geo-fences, products, orders and discounts. When users install the mobile app, it tracks their location using GPS and checks for geo-fence triggers that match tasks on the user's to-do list, then sends notifications. This addresses issues with existing geo-fencing systems that rely solely on mobile devices for location tracking and geo-fence checking.
Navigation for Indoor Location Based On QR Codes and Google Maps – A SurveyAM Publications,India
QR codes is simple and efficient tool used in smartphones to obtain accurate indoor user location. As an increasing number of geo-location services are exploiting the capabilities of smartphones, most of which incorporate GPS location. The smartphones compasses to direct the user to the destination. With the help of accelerometers, it will be possible to estimate the walking distances as an auxiliary information. An, idea in order to calculate the user position inside a building by using QR codes and Google maps. Navigation is the process or activity of accurately ascertaining one’s position, planning and following the route to goal location. Mobile phones are devices merely used to communicate. Based on new techniques like GPS and sensors, compass and accelerometers that can determine the orientation of devices, location based applications coupled with augmented reality views are possible.
High precision location tracking technology in ir4.0Journal Papers
1) The document discusses deploying an Ultra-Wideband (UWB) indoor positioning system (IPS) in a manufacturing factory for high-precision location tracking as part of Industry 4.0 initiatives.
2) Key challenges in deploying UWB IPS in a factory environment include radio signal reflections off metal surfaces, ensuring line-of-sight between tags and sensors, and strategic sensor placement and tag wearing.
3) Techniques to improve positioning accuracy include implementing Kalman filtering on position data and considering factors like tag placement, sensor density, and signal obstructions. The UWB IPS framework incorporates hardware, positioning algorithms, and a dashboard interface.
A Survey of Indoor Localization TechniquesIOSR Journals
This document provides a survey of indoor localization techniques. It begins by explaining that GPS cannot be used indoors due to lack of line of sight with satellites. It then classifies indoor localization techniques based on enabling technologies like radio frequency, ultrasound, wireless sensor networks, and smartphones. The document compares various techniques based on parameters like cost, accuracy, and provides a table comparing the results. It surveys localization techniques for applications like healthcare, asset tracking, and navigation indoors.
IRJET- Sniffer for Tracking Lost MobileIRJET Journal
This document describes a proposed system called a "sniffer" to track lost mobile phones. The sniffer would act as a base station using sniffer technology. It would include a sniffer base station to maintain frequency, a unidirectional antenna to transmit and receive signals at the desired frequency, and tracking software. The tracking software would input the IMEI number of the lost phone from its RAM and check for response signals from the phone. If a response signal is received, the location of the lost phone could be determined. The document discusses the design of the sniffer base station, antenna, and software to implement this tracking system using the phone's unique IMEI number.
Similar to Indoor Positioning System using Magnetic Positioning and BLE beacons (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.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
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
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.