1. Data loggers are devices that record data over time from electrical sensors. They allow monitoring and recording of temperature, humidity, and other variables remotely and automatically without someone present.
2. A data logger works by connecting sensors to a microprocessor that records the sensor measurements in a database. It can record data 24/7 and at frequent, regular time intervals for applications like monitoring industrial processes, environmental conditions, vehicle testing, and more.
3. Advantages of data loggers include monitoring dangerous or remote areas without someone present, accurate frequent recordings without human error, and collecting data continuously for long periods. Disadvantages include upfront equipment costs and potential data loss if equipment fails between recording intervals.
This document describes the design and implementation of a microcontroller-based system for remote monitoring of parameters via SMS. It includes a basic block diagram showing temperature and time base sensors connected to an ATmega32 microcontroller which communicates with a mobile phone using a MAX232 for serial communication and the FBUS protocol to send SMS messages. The system allows monitoring of temperature and time data remotely through SMS at intervals defined by the user.
Digital-Torque-wrenches models that are able to join inside technology, reliability and design. All Italian style. Available with torque reading precision of ± 1% and angle reading precision of ± 1%, to fulfil the most critical applications.
This document outlines a temperature monitoring system that includes sensors to collect temperature data, transmit it to the cloud, and display it on a user dashboard. It allows users to control connected devices like fans from the dashboard. The system aims to provide an end-to-end solution for collecting sensor data and visualizing or acting on it remotely. It also discusses revenue models including freemium options and subscriptions, as well as future enhancements like integrating additional sensors and control capabilities.
The magnitude of problems faced due to traffic congestion is humongous. It is an issue that has affected all mankind for years. But we have tactically laid out a complete solution to this prevalent issue and it is expected to turn down the problems drastically, both in India and worldwide.
This document discusses three technologies: Arduino, ArduSat, and KickSat. Arduino is an open source electronics platform that allows users to build interactive objects through coding. ArduSat is an open source nanosatellite based on CubeSats and Arduino that allows users to upload code and experiments. KickSat is a CubeSat project that launched over 200 tiny "Sprite" satellites to demonstrate amateur radio technology and sensor capabilities in space.
Track 4 session 3 - st dev con 2016 - pedestrian dead reckoningST_World
The document provides an overview of ST Microelectronics' Pedestrian Dead Reckoning (PDR) solution for indoor positioning. The PDR system uses MEMS sensors and algorithms to continuously track a user's position without needing connectivity. It consists of components for sensor calibration, step detection, stride length modeling, attitude filtering, carry position determination, and more. The PDR solution provides APIs to output location, activity mode, and other data to applications and can integrate with Android's location services.
1. Data loggers are devices that record data over time from electrical sensors. They allow monitoring and recording of temperature, humidity, and other variables remotely and automatically without someone present.
2. A data logger works by connecting sensors to a microprocessor that records the sensor measurements in a database. It can record data 24/7 and at frequent, regular time intervals for applications like monitoring industrial processes, environmental conditions, vehicle testing, and more.
3. Advantages of data loggers include monitoring dangerous or remote areas without someone present, accurate frequent recordings without human error, and collecting data continuously for long periods. Disadvantages include upfront equipment costs and potential data loss if equipment fails between recording intervals.
This document describes the design and implementation of a microcontroller-based system for remote monitoring of parameters via SMS. It includes a basic block diagram showing temperature and time base sensors connected to an ATmega32 microcontroller which communicates with a mobile phone using a MAX232 for serial communication and the FBUS protocol to send SMS messages. The system allows monitoring of temperature and time data remotely through SMS at intervals defined by the user.
Digital-Torque-wrenches models that are able to join inside technology, reliability and design. All Italian style. Available with torque reading precision of ± 1% and angle reading precision of ± 1%, to fulfil the most critical applications.
This document outlines a temperature monitoring system that includes sensors to collect temperature data, transmit it to the cloud, and display it on a user dashboard. It allows users to control connected devices like fans from the dashboard. The system aims to provide an end-to-end solution for collecting sensor data and visualizing or acting on it remotely. It also discusses revenue models including freemium options and subscriptions, as well as future enhancements like integrating additional sensors and control capabilities.
The magnitude of problems faced due to traffic congestion is humongous. It is an issue that has affected all mankind for years. But we have tactically laid out a complete solution to this prevalent issue and it is expected to turn down the problems drastically, both in India and worldwide.
This document discusses three technologies: Arduino, ArduSat, and KickSat. Arduino is an open source electronics platform that allows users to build interactive objects through coding. ArduSat is an open source nanosatellite based on CubeSats and Arduino that allows users to upload code and experiments. KickSat is a CubeSat project that launched over 200 tiny "Sprite" satellites to demonstrate amateur radio technology and sensor capabilities in space.
Track 4 session 3 - st dev con 2016 - pedestrian dead reckoningST_World
The document provides an overview of ST Microelectronics' Pedestrian Dead Reckoning (PDR) solution for indoor positioning. The PDR system uses MEMS sensors and algorithms to continuously track a user's position without needing connectivity. It consists of components for sensor calibration, step detection, stride length modeling, attitude filtering, carry position determination, and more. The PDR solution provides APIs to output location, activity mode, and other data to applications and can integrate with Android's location services.
Temperature Monitoring System with 4 Sensorsvackerdxb
The TV2 stores over 80,000 temperatures for each sensors, which means that it will store over 1.5 year of temperature history if you are sampling temperature once every 10 minutes. If you are logging temperature and humidity it will store nine months of history for each of the four sensors. Although the TV2 can store and display temperature from absolute zero to thousands of degrees, the actual temperatures collected depends on the type of sensors being used.
The aim of this project is to provide a device capable of collecting data from various sensors and send such data on the internet, so that you can view with different client.
The data collect is fundamental for research activity and for to have large amounts of data, so that immediately brings many benefits.
Through telecommunication technologies and devices can have a good battery outdoor, you can communicate different data remotely to as many clients.
Io t enabled plant soil moisture monitoring system using wireless sensor netw...Ezhilazhahi AM
The document describes an IoT-enabled plant soil moisture monitoring system using wireless sensor networks. The system uses soil moisture sensors connected to a microcontroller and Zigbee modules to transmit sensor readings wirelessly. The data is sent to a Raspberry Pi gateway and then uploaded to the cloud. An exponential weighted moving average algorithm is used to generate threshold values for event detection and enhance the wireless sensor network's lifetime. The system allows for real-time remote monitoring of soil moisture levels to enable precision agriculture.
The document describes the design and development of ArduSat, an open source space network. It discusses hardware and software requirements including Arduino, sensors, solar panels, batteries, and camera. The hardware section details the redesign of PCB boards to make them more compact and add additional sensors and a camera. It also describes adding solar panels and control circuitry. The software section discusses receiving sensor data from Arduino into Visual Studio, extracting values, and plotting graphs, as well as interfacing with the camera.
This document describes a smart environment IoT project that monitors temperature, pressure, humidity, light, UV index, CO2, GPS data using various sensors. It uses a microcontroller to collect data from the sensors via common protocols like I2C and UART. The data is transmitted to a server using an ESP8266 WiFi module. Power management involves using solar power during the day and a battery at night, with components that switch between the two and put the device in low power mode when not in use. A web portal uses the collected data for visualization on maps and charts.
This document discusses data logging, which involves collecting data from sensors over time using a data logger. Sensors measure variables like temperature, pressure, or pH and send readings to the data logger either wired or wirelessly. The data logger stores the readings until transmitting them to a computer for analysis. Examples given include monitoring patients in intensive care, collecting performance data from racing cars, and testing water quality. Factors like the logging interval and remote data logging are also covered.
PointSense improves network reliability by identifying and quantifying point machine conditions; enabling targeted, timely maintenance. Easy-to-use data capture, powerful processing and graphic visualisation informs operators of the actual condition and performance trends of their assets. This allows maintenance schedules to become adaptive and efficient. The result: reduced operating cost, fewer outages and increased network availability.
This document summarizes a project to design a wireless weather monitoring system using GSM. The system monitors parameters like humidity, rainfall, temperature, and light intensity using sensors connected to a PIC16F877A microcontroller. The microcontroller converts analog sensor data to digital and monitors for abnormal readings. When abnormalities occur, a caution message is sent via GSM modem to programmed mobile numbers. Users can also request current data by sending an SMS. The system provides remote weather monitoring via the GSM network. It has applications in agriculture, industry, and medicine. The document outlines the hardware used including sensors, microcontroller, GSM modem, LCD display, and power supply.
This is a report describing what actually dataloggers is.A data logger (also datalogger or data recorder) is an electronic device that records data over time or in relation to location either with a built in instrument or sensor or via external instruments and sensors. Increasingly, but not entirely, they are based on a digital processor (or computer).The logger usually refers to the usage of a class in log4j. The logger is a member object whose function e.g. severe is called. The logger usually logs into a file (this can be configured through log4j.xml or some other config file or during the program start).
This document proposes a weather station using Internet of Things (IoT) that allows users to access real-time weather data anywhere. The weather station will collect data like temperature, humidity, and pressure from sensors using a NodeMCU microcontroller with a built-in WiFi module. The data will be sent to a local server and made available for users to view on their devices. The project aims to provide a way for users to monitor weather conditions and plan activities by getting timely alerts and forecasts. It will follow a Rapid Application Development methodology and include entity relationship and data flow diagrams in the design.
Remote Monitoring of Crop Field Using Wireless Sensor NetworkIJMER
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.
The document summarizes the development of an Internet of Things system by Steve Dawes to automate monitoring and watering of a greenhouse and land located 10 miles from his home. It discusses:
1) Early experiments monitoring temperature in his home and a data center using sensor networks.
2) An initial Arduino-based watering system for a small greenhouse that had issues with wiring, software, and sensor accuracy.
3) The current solar-powered IOT system deployed in 2014 at the land uses a Digispark processor to automate watering and monitoring via wireless sensors to allow absence from the land for weeks.
4) Thoughts on developing the system further with principles of peer-to
This document discusses requirements and considerations for creating Internet of Things (IOT) edge nodes using microcontrollers. It provides an overview of microcontroller vs microprocessor differences, popular low-power radio technologies like LoRaWAN, development environments like Arduino and Mbed, interfaces for connecting sensors, and an example of creating a weather sensor node with a BME280 environmental sensor and LoRaWAN radio module.
The document describes an NDIR gas sensing circuit designed by Rishav Pandey at CSIR-CEERI under the guidance of Dr. Ravindra Kumar Jha. The circuit uses components like an IR light source, optical filters, thermopile and thermistor IR detectors, op amps, a low noise amplifier, analog microcontroller, and voltage regulator. The PCB is designed to interface with an Arduino board. It uses AD8629 op amps to amplify sensor signals and an ADuCM360 microcontroller to control the lamp voltage and read the ADC outputs to analyze gas concentrations.
This document outlines the design of a weather station to measure wind speed, temperature, and humidity. It includes a block diagram of the system which consists of sensor packs that transmit data wirelessly to a base station, which then transmits to a PC. The document discusses the hardware components used in the sensor packs (anemometer, temperature, humidity sensors) and base station (receiver, LCD). It also covers the software, practical constraints of operating outdoors, technical specifications, and concludes the design is sufficient for students to build a complete weather station.
Fast Tracer is a portable USB vibration analyzer that allows users to easily perform vibration analysis with a single triaxial transducer. It has high performance, reliability, and simplicity. Its MEMS sensors digitize signals directly, providing precise measurements unaffected by cable noise. It comes with software for FFT analysis, time signals, ISO calculations, and exporting data to Excel. It is suitable for predictive maintenance, troubleshooting, and condition monitoring in various industries due to its portability, ease of use, and low cost.
German tech company Fraunhofer has developed a wearable time-keeping device to more accurately measure the time taken for workers to perform tasks in factories. The device, a sensor-equipped sleeve, aims to address drawbacks of existing stopwatch methods by reducing worker anxiety and freeing up supervisor time. The sleeve contains accelerometers that can differentiate workers' movements like reaching and grasping down to the second. The data is analyzed to identify inefficient motions and make process improvements, potentially optimizing productivity. While increasing efficiency, the device may also be seen as burdening workers by scrutinizing their every motion.
Temperature Monitoring System with 4 Sensorsvackerdxb
The TV2 stores over 80,000 temperatures for each sensors, which means that it will store over 1.5 year of temperature history if you are sampling temperature once every 10 minutes. If you are logging temperature and humidity it will store nine months of history for each of the four sensors. Although the TV2 can store and display temperature from absolute zero to thousands of degrees, the actual temperatures collected depends on the type of sensors being used.
The aim of this project is to provide a device capable of collecting data from various sensors and send such data on the internet, so that you can view with different client.
The data collect is fundamental for research activity and for to have large amounts of data, so that immediately brings many benefits.
Through telecommunication technologies and devices can have a good battery outdoor, you can communicate different data remotely to as many clients.
Io t enabled plant soil moisture monitoring system using wireless sensor netw...Ezhilazhahi AM
The document describes an IoT-enabled plant soil moisture monitoring system using wireless sensor networks. The system uses soil moisture sensors connected to a microcontroller and Zigbee modules to transmit sensor readings wirelessly. The data is sent to a Raspberry Pi gateway and then uploaded to the cloud. An exponential weighted moving average algorithm is used to generate threshold values for event detection and enhance the wireless sensor network's lifetime. The system allows for real-time remote monitoring of soil moisture levels to enable precision agriculture.
The document describes the design and development of ArduSat, an open source space network. It discusses hardware and software requirements including Arduino, sensors, solar panels, batteries, and camera. The hardware section details the redesign of PCB boards to make them more compact and add additional sensors and a camera. It also describes adding solar panels and control circuitry. The software section discusses receiving sensor data from Arduino into Visual Studio, extracting values, and plotting graphs, as well as interfacing with the camera.
This document describes a smart environment IoT project that monitors temperature, pressure, humidity, light, UV index, CO2, GPS data using various sensors. It uses a microcontroller to collect data from the sensors via common protocols like I2C and UART. The data is transmitted to a server using an ESP8266 WiFi module. Power management involves using solar power during the day and a battery at night, with components that switch between the two and put the device in low power mode when not in use. A web portal uses the collected data for visualization on maps and charts.
This document discusses data logging, which involves collecting data from sensors over time using a data logger. Sensors measure variables like temperature, pressure, or pH and send readings to the data logger either wired or wirelessly. The data logger stores the readings until transmitting them to a computer for analysis. Examples given include monitoring patients in intensive care, collecting performance data from racing cars, and testing water quality. Factors like the logging interval and remote data logging are also covered.
PointSense improves network reliability by identifying and quantifying point machine conditions; enabling targeted, timely maintenance. Easy-to-use data capture, powerful processing and graphic visualisation informs operators of the actual condition and performance trends of their assets. This allows maintenance schedules to become adaptive and efficient. The result: reduced operating cost, fewer outages and increased network availability.
This document summarizes a project to design a wireless weather monitoring system using GSM. The system monitors parameters like humidity, rainfall, temperature, and light intensity using sensors connected to a PIC16F877A microcontroller. The microcontroller converts analog sensor data to digital and monitors for abnormal readings. When abnormalities occur, a caution message is sent via GSM modem to programmed mobile numbers. Users can also request current data by sending an SMS. The system provides remote weather monitoring via the GSM network. It has applications in agriculture, industry, and medicine. The document outlines the hardware used including sensors, microcontroller, GSM modem, LCD display, and power supply.
This is a report describing what actually dataloggers is.A data logger (also datalogger or data recorder) is an electronic device that records data over time or in relation to location either with a built in instrument or sensor or via external instruments and sensors. Increasingly, but not entirely, they are based on a digital processor (or computer).The logger usually refers to the usage of a class in log4j. The logger is a member object whose function e.g. severe is called. The logger usually logs into a file (this can be configured through log4j.xml or some other config file or during the program start).
This document proposes a weather station using Internet of Things (IoT) that allows users to access real-time weather data anywhere. The weather station will collect data like temperature, humidity, and pressure from sensors using a NodeMCU microcontroller with a built-in WiFi module. The data will be sent to a local server and made available for users to view on their devices. The project aims to provide a way for users to monitor weather conditions and plan activities by getting timely alerts and forecasts. It will follow a Rapid Application Development methodology and include entity relationship and data flow diagrams in the design.
Remote Monitoring of Crop Field Using Wireless Sensor NetworkIJMER
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.
The document summarizes the development of an Internet of Things system by Steve Dawes to automate monitoring and watering of a greenhouse and land located 10 miles from his home. It discusses:
1) Early experiments monitoring temperature in his home and a data center using sensor networks.
2) An initial Arduino-based watering system for a small greenhouse that had issues with wiring, software, and sensor accuracy.
3) The current solar-powered IOT system deployed in 2014 at the land uses a Digispark processor to automate watering and monitoring via wireless sensors to allow absence from the land for weeks.
4) Thoughts on developing the system further with principles of peer-to
This document discusses requirements and considerations for creating Internet of Things (IOT) edge nodes using microcontrollers. It provides an overview of microcontroller vs microprocessor differences, popular low-power radio technologies like LoRaWAN, development environments like Arduino and Mbed, interfaces for connecting sensors, and an example of creating a weather sensor node with a BME280 environmental sensor and LoRaWAN radio module.
The document describes an NDIR gas sensing circuit designed by Rishav Pandey at CSIR-CEERI under the guidance of Dr. Ravindra Kumar Jha. The circuit uses components like an IR light source, optical filters, thermopile and thermistor IR detectors, op amps, a low noise amplifier, analog microcontroller, and voltage regulator. The PCB is designed to interface with an Arduino board. It uses AD8629 op amps to amplify sensor signals and an ADuCM360 microcontroller to control the lamp voltage and read the ADC outputs to analyze gas concentrations.
This document outlines the design of a weather station to measure wind speed, temperature, and humidity. It includes a block diagram of the system which consists of sensor packs that transmit data wirelessly to a base station, which then transmits to a PC. The document discusses the hardware components used in the sensor packs (anemometer, temperature, humidity sensors) and base station (receiver, LCD). It also covers the software, practical constraints of operating outdoors, technical specifications, and concludes the design is sufficient for students to build a complete weather station.
Fast Tracer is a portable USB vibration analyzer that allows users to easily perform vibration analysis with a single triaxial transducer. It has high performance, reliability, and simplicity. Its MEMS sensors digitize signals directly, providing precise measurements unaffected by cable noise. It comes with software for FFT analysis, time signals, ISO calculations, and exporting data to Excel. It is suitable for predictive maintenance, troubleshooting, and condition monitoring in various industries due to its portability, ease of use, and low cost.
German tech company Fraunhofer has developed a wearable time-keeping device to more accurately measure the time taken for workers to perform tasks in factories. The device, a sensor-equipped sleeve, aims to address drawbacks of existing stopwatch methods by reducing worker anxiety and freeing up supervisor time. The sleeve contains accelerometers that can differentiate workers' movements like reaching and grasping down to the second. The data is analyzed to identify inefficient motions and make process improvements, potentially optimizing productivity. While increasing efficiency, the device may also be seen as burdening workers by scrutinizing their every motion.
The document describes a new wearable time-keeping system developed by Fraunhofer to more accurately measure the time taken by workers to perform tasks in factories. Existing stopwatch methods can only monitor a few workers and make them nervous. The new system uses sensor-equipped sleeves to record workers' arm movements without supervision needed. Data from the sleeves is analyzed to identify inefficient motions and optimize processes. The system aims to maximize efficiency while acknowledging workers may occasionally need breaks.
A New Aid for Blind People‖, IEEE Transactions on Neural Systems and Rehabilitation
Engineering, Vol. 20, No. 4, July 2012.
[6] S. S. Rathod, S. S. Agrawal, ―Design and Development of Smart Cane for Visually Impaired
People‖, International Journal of Advanced Research in Electrical, Electronics and Instrumentation
Engineering, Vol. 2, Issue 2, February 2013.
[7] S. S. Rathod, S. S. Agrawal, ―Design and Development of Smart Cane for Visually Impaired
People‖, International Journal of Advanced Research in Electrical, Electronics and Instrumentation
Engineering
Smart City water management solutions -Faststream TechnologiesSudipta Maity
Faststream Technologies provides a simpler, more efficient, and reliable intelligent water Management Solutions for City and Household. Under a single umbrella of Smart Water Management Solutions, we serve AMR, Leakage Management, Water Quality Monitoring, Reservoir Water Level Monitoring, etc. With the portable, ergonomic, and secure hardware design, user-friendly software, and state of the art technologies Faststream enhances efficiency and ease of use in utility management.
it has a small description about how wireless sensor system network can be applied in various field. A application of leaksge detection is discussed in detail.
The document describes the OmniScan MX2 phased array flaw detector from Olympus. The MX2 offers improvements over the previous MX model including a brighter, larger touchscreen, faster setup and testing speeds, more data storage capacity, and new analysis software. It is a modular and customizable instrument that can accommodate current and future phased array technologies to meet a user's evolving needs.
Tektronix keithley Product and Application update Q2 2016Jeff Sable
Tektronix delivers innovative, precise and easy-to-operate test, measurement and monitoring solutions that solve problems, unlock insights and drive discovery.
Physiological monitoring has become increasingly popular with the availability of advanced technology. Techtiles aims to consolidate sensors that normally are not found together on one device to monitor a user's heart activity, breathing, and movement and process the data to compute heart rate, respiration rate, steps, distance, and energy burned. The prototype demonstrated accuracy within 17 beats/min for heart rate, 10 breaths/min for respiration, and was able to be worn comfortably for monitoring purposes.
Digital and Electronics Weighbridge / Truck scales- Sansui Electronics Sansui Electronics
Sansui Electronics is involved in the manufacturing, supplying and exporting of weighbridge , portableweighbridge, mobile weighbridge, electronic weighbridge, pitlessweighbridge, pit weighbridge etc,.our company is supplying wide range of products and service across the country. See more…… www.sansuiscales.com
The document discusses data acquisition systems and their basic components and applications. It also discusses microprocessors and microcontrollers, including their history, architecture, and features. Data acquisition systems comprise sensors, measurement devices, and a computer to process acquired data from electrical or physical phenomena. They capture and store data in an easily retrievable format for analysis. Microprocessors are the central processing units of computers and devices, while microcontrollers are self-contained systems with a processor, memory, and I/O in a single package.
The document discusses Desoutter's CVI3 assembly system for the automotive industry. It provides unmatched flexibility with integrated solutions for advanced process control. The system ensures traceability of safety critical applications with dedicated controllers. It offers a wide range of tools and fully integrated solutions to fit customized applications. The suite of software, tools, and accessories provides maximum productivity, comfort, and flexibility for tightening processes.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This solution provides all necessary means for equipping your distribution grid to have all relevant data always centrally available for monitoring & analysis. The solution can assure some crucial advantages in your grid such as: • system protection improvements • more reliable operation • faster responses to failures • better maintenance • control over power consumption & losses within the network • historic data for better planning • power quality improvement • better control over the installed equipment
Iskra Energy Management Expertise: smart grid solutionsMinka Grdesic
This solution provides all necessary means for equipping your distribution grid to have all relevant data always centrally available for monitoring as well as for basic data analysis. All instrument settings together with their measurements, alarms or PQ data can now always be available at the tip of your fingers.
Next Industries' miniOMNIAlog datalogger, with different radio interfaces, cloud data storage, sms/email alarms, vibrating wire, 4..20mA, 0-10V, NTC, Thermocouples, and Modbus sensors, other than a low power requirements make this four channel datalogger the perfect choice for unattended data monitoring in remote places.
The document discusses future developments in hydrographic software by QPS. It summarizes that QPS will focus on managing increasing data volumes from new sensor technologies through real-time processing and cloud computing. New visualization and user experience techniques will be needed to analyze larger and more complex 4D datasets. QPS will integrate new sensors like sub-bottom profilers and ADCPs into its software suite and optimize workflows. Short term developments at QPS include changes to its product suite and a new feedback voting system.
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This project aims to monitor structured things in real-time for cracks and bending using wireless sensors. The sensors detect physical data from structures and send it to the cloud for processing and analysis. This allows users to identify damages and potential hazards, saving lives. The proposed system uses MEMS and vibration sensors with low-power WiFi modules to wirelessly transmit sensor readings to the cloud for viewing on mobile apps. This provides a robust, flexible and cost-effective alternative to existing wired structural monitoring systems.
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Design and optimization of ion propulsion dronebjmsejournal
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
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.
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...PIMR BHOPAL
Variable frequency drive .A Variable Frequency Drive (VFD) is an electronic device used to control the speed and torque of an electric motor by varying the frequency and voltage of its power supply. VFDs are widely used in industrial applications for motor control, providing significant energy savings and precise motor operation.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
2. PROPERTIES
• 3 axis
• DC to 250Hz useful bandwidth
• Low noise
• 6-hours battery autonomy (1024 samples/second)
• 2 GB storage capacity
• Wireless during vibration measurements
• Compact and rugged design
• Protection grade IP65 – Total protection against dust &
splashing water
• Several sensors can measure synchronously and si-
multaneously
• Synchronization in millisecond level for several hours
+91 9673123829https://gaxcesensors.com/blog/3-axis-shock-vibration-data-logger/
3. POSSIBLE USE
• “Quick & dirty” vibration monitoring &
diagnosis
• Remote vibration diagnostic/consultancy
• Vibration measurement on rotating parts
• Vibration modal analysis
• Machine tools – Automotive – Aviation
• Structural analysis and health monitoring
• Traffic and transport sector
+91 9673123829https://gaxcesensors.com/blog/3-axis-shock-vibration-data-logger/
4. BENEFITS
• Our new wireless vibration recorder, the RECOVIB Tiny measures vibrations and
shocks in all three axis. It is extremely practical for a vibration diagnosis, offering
up to 6 hours of measurement.
• Its wireless technology and intuitive operation provides substantial time savings in
the performance of your measurements.
• It is the only type of vibration and shock recorder that allows several sensors to be
used simultaneously in a synchronized manner enabling the performance of modal
analyses and operational deflection shape
• analyses on large structures such as bridges or walkways.
• We offer different measuring ranges : ± 2/6G, ± 15G, ± 200G. It is able to record
1024 acceleration values (shocks and vibrations) per channel per second.
• The RECOVIB Tiny is the smallest, lightest and the most robust recorder on the
market that is able to perform recordings in extreme conditions ranging from -10°C
to +50°C. It is also dust and water tight to IP65.
• Recovib_TINY_EN-rev1p4
• BLOCK DIAGRAM
+91 9673123829https://gaxcesensors.com/blog/3-axis-shock-vibration-data-logger/
5. OPERATION
• To set up the RECOVIB Tiny, all you have to do is to connect the sensor to a PC or a
smartphone via a USB connection. The supplied software allows for time
synchronization with the PC, selection of the measuring range, as well as
programming of the measurement interval.
• When the sensor is disconnected from the PC or the smartphone and when the
preset measurement start time is reached, the RECOVIB.Tiny begins to
autonomously measure and store vibration values.
• Once the preset stop time is reached, the RECOVIB.Tiny goes into sleep mode until
it is reconnected to the PC or the smartphone.
• The RECOVIB Tiny is therefore recognized by the PC or the smartphone as an
external storage device. Thanks to the supplied software, the measurements of
one or more sensors stored in a compact binary format can be converted to
standard formats depending on user preference (text, CSV, MATLAB™, LabVIEW™
formats).
• The Recovib Tiny is supplied with magnets for easy mounting.
• When several synchronized sensors are used for a measurement, all the data are
stored in one single file with one single time stamp.
+91 9673123829https://gaxcesensors.com/blog/3-axis-shock-vibration-data-logger/
6. RECOVIB Transfer
• Transfer the Android RECOVIB Projects from your Android devices to your computer
• RECOVIB Suite computer software
• Program your sensors, export and analyze your data thanks to our RECOVIB Suite SOFTWARE
which includes 4 tools :
• RECOVIB Tiny
• Multi-Sensors setup
• Download device measurements
• RECOVIB Transfer
• Transfer the Android RECOVIB Projects from your Android devices to your computer
• RECOVIB Converter
• Convert RECOVIB measurements into the format of your choice
• RECOVIB Viewer
• Analysis PC Software
• Replay and analyze data taken from RECOVIB Projects in the time and the frequency domain
+91 9673123829https://gaxcesensors.com/blog/3-axis-shock-vibration-data-logger/