Our project aims to help a common user in viewing and analyzing data related to their smart home. It contains time readings on different appliances in a house, combined with data on weather conditions.
- Version 2.0 of the Alertas @MARN.SV Android app includes a new look, buttons to access sharing and plotting functionality instead of press actions, and a new map button to view the last 10 earthquakes reported by MARN El Salvador.
- Future plans for the app include adding contextual maps and charts to notifications, checking the volcanic activity chart, and potentially including a "Did you feel it?" feature to collect public information after earthquakes.
Description of the first steps of MARN for the stablishment of an automated monitoring system for drought, specifically the monitoring of soil moisture.
WMT Wildfire Management Tool GIS Day Poster 2015Bruce Schubert
Wildfire Management Tool (WMTweb) Poster for GIS Day 2015.
World GIS Day at Ventura College
A GIS conference for Santa Barbara, Ventura and the surrounding regions.
Friday, November 20, 2015.
Wildfire Management Tool - Using NASA Web World Wind to Predict Wildfire Beha...Bruce Schubert
The Wildfire Management Tool - Web Edition (WMTweb) is a mobile and desktop compatible web application that displays the potential fire behavior of wildfire on a virtual 3D globe. WMTweb is built on the NASA Web World Wind JavaScript SDK and interfaces with the LANDFIRE, GeoMAC and National Weather Service REST services. WMTweb runs in your browser (Chrome and FireFox). WMTweb displays the potential fire behavior using new symbology -- the "Wildfire Diamond" -- which conveys the fire behavior at the head, flanks and heal. Point weather forecasts are graphically displayed using weather station symbols.
The Wildfire Management Tool (WMT) is a decision support system that predicts potential fire behavior using on-scene fire behavior observations, unlike models like BehavePlus and FARSITE. It aims to provide tactical decision support to wildland firefighters. The WMT displays complex fire behavior data simply, predicts fire behavior at any location, and shows thresholds of control. It also seeks to determine trigger points where fire behavior may change, add a wind field model, and simulate short-term fire behavior. The tool is used by agencies like the US Forest Service and CALFIRE.
This document outlines the design of a satellite communications buoy that will gather environmental data and transmit it to a CubeSat in low Earth orbit. The key aspects covered include the functional specifications, block diagrams, data and power budgets, sensor subsystems, communications link, mechanical design, and power system. The goal is for the buoy to autonomously measure various sensors, transmit the data to a passing satellite, and operate using solar power.
Building Climate Resilience: Translating Climate Data into Risk Assessments Safe Software
Climate change affects us all. It is an urgent issue that requires practical solutions to mitigate its impacts. Data is at the center of understanding this challenge. In this informative webinar, we will explore how data can be leveraged to translate climate change projections into tangible hazard and risk assessments at the local level.
The webinar will cover a range of topics: including flood, fire, heat, drought, population health, and critical infrastructure, among others. We will also highlight our partner and customer experiences in this field and present key results from our participation in recent OGC pilots on Climate Resilience and Disaster Response. We will also be joined by special guests sharing their experience in the AgriTech sector, where gathering metrics and data from sensors is helping to reduce the demand from farming on precious resources like water for irrigation.
Through live demos, attendees will gain practical knowledge in accessing climate services from USGS & Environment Canada and how to convert climate model NetCDF outputs into more GIS-friendly formats like geodatabase & GeoJSON.
Finally, we will address the significant gaps and challenges that remain in assessing climate-related hazards and risks, and explore how FME can play a critical role in addressing these gaps. Join us for this important discussion on how you can use FME to build resilience and mitigate the impacts of climate change.
Meteoio Introduction given by Mathias Bavey in BozenRiccardo Rigon
MeteoIO is a toolbox for working with meteorological data in C++. It acts as an interface between physical models and different data sources. MeteoIO reads data from various sources, preprocesses it, and provides the data to models in a standardized way regardless of the original data characteristics. It performs operations like unit conversions, interpolation, and filtering to prepare data for use in models. MeteoIO uses a plugin architecture so that each data source is handled by its own plugin, while exposing a common interface to models.
- Version 2.0 of the Alertas @MARN.SV Android app includes a new look, buttons to access sharing and plotting functionality instead of press actions, and a new map button to view the last 10 earthquakes reported by MARN El Salvador.
- Future plans for the app include adding contextual maps and charts to notifications, checking the volcanic activity chart, and potentially including a "Did you feel it?" feature to collect public information after earthquakes.
Description of the first steps of MARN for the stablishment of an automated monitoring system for drought, specifically the monitoring of soil moisture.
WMT Wildfire Management Tool GIS Day Poster 2015Bruce Schubert
Wildfire Management Tool (WMTweb) Poster for GIS Day 2015.
World GIS Day at Ventura College
A GIS conference for Santa Barbara, Ventura and the surrounding regions.
Friday, November 20, 2015.
Wildfire Management Tool - Using NASA Web World Wind to Predict Wildfire Beha...Bruce Schubert
The Wildfire Management Tool - Web Edition (WMTweb) is a mobile and desktop compatible web application that displays the potential fire behavior of wildfire on a virtual 3D globe. WMTweb is built on the NASA Web World Wind JavaScript SDK and interfaces with the LANDFIRE, GeoMAC and National Weather Service REST services. WMTweb runs in your browser (Chrome and FireFox). WMTweb displays the potential fire behavior using new symbology -- the "Wildfire Diamond" -- which conveys the fire behavior at the head, flanks and heal. Point weather forecasts are graphically displayed using weather station symbols.
The Wildfire Management Tool (WMT) is a decision support system that predicts potential fire behavior using on-scene fire behavior observations, unlike models like BehavePlus and FARSITE. It aims to provide tactical decision support to wildland firefighters. The WMT displays complex fire behavior data simply, predicts fire behavior at any location, and shows thresholds of control. It also seeks to determine trigger points where fire behavior may change, add a wind field model, and simulate short-term fire behavior. The tool is used by agencies like the US Forest Service and CALFIRE.
This document outlines the design of a satellite communications buoy that will gather environmental data and transmit it to a CubeSat in low Earth orbit. The key aspects covered include the functional specifications, block diagrams, data and power budgets, sensor subsystems, communications link, mechanical design, and power system. The goal is for the buoy to autonomously measure various sensors, transmit the data to a passing satellite, and operate using solar power.
Building Climate Resilience: Translating Climate Data into Risk Assessments Safe Software
Climate change affects us all. It is an urgent issue that requires practical solutions to mitigate its impacts. Data is at the center of understanding this challenge. In this informative webinar, we will explore how data can be leveraged to translate climate change projections into tangible hazard and risk assessments at the local level.
The webinar will cover a range of topics: including flood, fire, heat, drought, population health, and critical infrastructure, among others. We will also highlight our partner and customer experiences in this field and present key results from our participation in recent OGC pilots on Climate Resilience and Disaster Response. We will also be joined by special guests sharing their experience in the AgriTech sector, where gathering metrics and data from sensors is helping to reduce the demand from farming on precious resources like water for irrigation.
Through live demos, attendees will gain practical knowledge in accessing climate services from USGS & Environment Canada and how to convert climate model NetCDF outputs into more GIS-friendly formats like geodatabase & GeoJSON.
Finally, we will address the significant gaps and challenges that remain in assessing climate-related hazards and risks, and explore how FME can play a critical role in addressing these gaps. Join us for this important discussion on how you can use FME to build resilience and mitigate the impacts of climate change.
Meteoio Introduction given by Mathias Bavey in BozenRiccardo Rigon
MeteoIO is a toolbox for working with meteorological data in C++. It acts as an interface between physical models and different data sources. MeteoIO reads data from various sources, preprocesses it, and provides the data to models in a standardized way regardless of the original data characteristics. It performs operations like unit conversions, interpolation, and filtering to prepare data for use in models. MeteoIO uses a plugin architecture so that each data source is handled by its own plugin, while exposing a common interface to models.
A long range, energy efficient Internet of Things based drought monitoring sy...IJECEIAES
The climate change and global warning have been appeared as an emerging issue in recent decades. In which, the drought problem has been influenced on economics and life condition in Vietnam. In order to solve this problem, in this paper, we have designed and deployed a long range and energy efficient drought monitoring based on IoT (Internet of Things) for real time applications. After being tested in the real condition, the proposed system has proved its high dependability and effectiveness. The system is promising to become a potential candidate to solve the drought problem in Vietnam.
since the word limit is less so now i have to make it fill the criteria.pptxlightkira108
This document describes a student project consisting of two modules: a weather forecasting system and an online agricultural product marketing system. The weather forecasting system is a Python GUI application that utilizes the Tkinter module and OpenWeatherMap API to provide real-time weather information and crop suggestions. The online marketing system aims to create an efficient online platform for browsing and purchasing agricultural products like seeds and fertilizers. Both systems aim to leverage technology to benefit farmers and the agricultural community.
Design and Implementation of High Resolution Data Acquisition Systemijsrd.com
Fuel cell stacks containing hundreds of individual cells are capable of generating high voltage and current values needed for transportation, commercial, residential, portable and industrial power applications. Although majority of hydrogen produced today comes from reformulated natural gas generated through a process that creates a significant amount of carbon dioxide, fuel cell is still a viable energy source for the future electrical power applications. One of the hard cases of the fuel-cell power systems is proper monitoring, instrumentation and data acquisition of system parameters such as fuel flow into the system, AC and DC voltage values, load current, humidity, power, pressure, temperature, fuel utilization, overall system efficiency, noise, etc. Fuel cell test systems must precisely monitor and control the aforementioned hundreds of measurements in real-time. It is necessary to have an instrumentation system which is able to monitor and control fuel cell operation under varying conditions and accurately get information relating to real-time performance and operational characteristics to calculate fuel cell efficiency correctly. Instrumentation and interface systems must also provide flexible data acquisition, monitoring, and control capability to precisely control fuel cell operation. Therefore, a typical fuel cell test system requires high-resolution, high-voltage input, isolation, and waveform acquisition capability. The objective of this applied research project is design and implementation of a high-resolution data acquisition and interface module for a 500 W Hydrogen fuel cell power station using LabVIEW ™ PDS v8.20 software and field point based data acquisition modules.
Training materials developed with peers at Columbia University for Google, Inc. These materials illustrate methods to incorporate JavaScript into Google Earth Engine to generate relevant products for stakeholders using climate data.
SUNSHINE short overview of the project and its objectives Raffaele de Amicis
The document provides an overview of the SUNSHINE project, which aims to develop smart urban services for higher energy efficiency. It discusses the project objectives, timeline, partners, and budget. The project will create energy maps and models to optimize energy consumption in buildings and public lighting. It will deploy pilots in several cities to test the technologies in real-world conditions and assess energy savings. The last 12 months focused on completing the pilots, testing the technologies, gathering additional energy usage data, and standardizing the solutions.
This document describes a Zigbee-based weather monitoring system that uses wireless sensors to remotely monitor various weather parameters without human intervention. The system collects data from sensors that measure temperature, humidity, wind speed and direction, rainfall, and other factors. An ARM7 microcontroller is used to multiplex sensor data and transmit it wirelessly via Zigbee modules. The received data is sent to a computer system. The system provides accurate, real-time monitoring over a large area at low cost compared to traditional weather monitoring methods. It was found to reliably transmit weather data from multiple remote locations.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
This document summarizes a research project on implementing smart grid technologies in the cities of Grenoble and Lyon, France. It includes 3 key points:
1. The project, called GreenLys, aims to help end users consume energy better, integrate local renewable production, handle peaks in production/consumption, and improve grid reliability. It involves 11 work packages including intelligent management solutions.
2. The electrical network was modeled using software like GAMS, MATLAB, and RT-Lab. Several scenarios were evaluated using the real-time simulator to analyze different loads, phases, and reactive power situations.
3. Future work includes integrating SCADA communication and sending real-time information between simulation tools and analog devices
Use of Qualitative and Quantitative Data in Sectoral Energy Performance Bench...Umesh Bhutoria
This document discusses using statistical modeling to benchmark energy performance across textile plants. It presents a case study comparing the energy use of 3 plants based on production levels and counts. Key points:
- Production data and electricity use from the plants over 3 months is analyzed using statistical tools to model the relationship between energy use and factors like product type and count.
- The analysis identifies the largest impacts different factors have on each plant's energy use. It also calculates expected energy use and energy performance indexes based on the statistical models.
- The energy performance indexes change when the production mix or other factors are adjusted in the models, showing how normalization is important for accurate benchmarking. Deeper and more consistent data across more plants
IRJET- Temperature Conditioning for Solar DryerIRJET Journal
This document describes the design of a temperature controlled solar dryer. It begins with an introduction that explains the problems with traditional sun drying methods and how a solar dryer aims to improve the drying process. It then provides details on the methodology, including the use of a microcontroller to automatically control and maintain the temperature based on sensors. Diagrams of the system design and block diagrams of the circuit are included. The drying chamber consists of multiple trays and the microcontroller is programmed with different temperature ranges for different seasons and products. When drying is complete, an alarm will sound to notify the user. In summary, this document outlines the design of an automated solar dryer that uses a microcontroller to precisely control temperature during drying based on
Understanding how sub-metering benefits multifamily residential owners by providing information at a local level, enabling building occupants and tenant agencies to identify smarter decision about their energy use.
Kamstrup RHI Compliant Heat Meters & Thermal Energy Measurement - Multical 60...Thorne & Derrick UK
MULTICAL 602 is an energy calculator that measures heat, cooling, and combined heat/cooling. It connects to flow sensors and temperature sensors to calculate energy usage. It has a long battery life, stores consumption data daily/hourly, and has various communication options. Its info codes and data loggers monitor the system for errors and allow troubleshooting. It provides accurate measurements over its lifetime to optimize building operations and energy billing.
This document summarizes a project that developed an IoT-based smart module to optimize energy usage in homes. The module uses sensor nodes to measure electricity and gas consumption of appliances like air conditioners and heaters. It collects real-time data and uses machine learning to intelligently switch between gas and electric supply based on consumption thresholds to reduce energy usage and costs without compromising comfort. The project achieved its objectives of prototyping the switching module and mobile app interface and evaluating its efficiency through hardware implementation and results analysis.
The document discusses using big data technologies for environmental forecasting and climate prediction at the Barcelona Supercomputing Center (BSC). It outlines three key areas: 1) Developing capabilities for air quality forecasting using data streaming; 2) Implementing simultaneous analytics and high-performance computing for climate predictions; 3) Developing analytics as a service using platforms like the Earth System Grid Federation to provide climate data and services to users. The BSC is working on several projects applying big data, including operational air quality and dust forecasts, high-resolution city-scale air pollution modeling, and decadal climate predictions using workflows and remote data analysis.
Control Consultants, Inc, (CCI) developed a robust Niagara metering dashboard to address Niagara metering dashboard and aggregation needs! The metering dashboard is for use on any Niagara device and can be used with Honeywell meters, E-mon D-mon Kw meters or any generic pulse meter.
MetOp Satellites Data Processing for Air Pollution Monitoring in Morocco IJECEIAES
This paper presents a data processing system based on an architecture comprised of multiple stacked layers of computational processes that transforms Raw Binary Pollution Data coming directly from Two EUMETSAT MetOp satellites to our servers, into ready to interpret and visualise continuous data stream in near real time using techniques varying from task automation, data preprocessing and data analysis to machine learning using feedforward artificial neural networks. The proposed system handles the acquisition, cleaning, processing, normalizing, and predicting of Pollution Data in our area of interest of Morocco.
Spark Streaming and IoT by Mike FreedmanSpark Summit
This document discusses using Spark Streaming for IoT applications and the challenges involved. It notes that while Spark simplifies programming across different processing intervals from batch to stream, programming models alone are not sufficient as IoT data streams can have varying rates and delays. It proposes a unified data infrastructure with abstractions like data series that support joining real-time and historical data while handling delays transparently. It also suggests approaches for Spark Streaming to better support processing many independent low-volume IoT streams concurrently and improving resource utilization for such applications. Finally, it introduces the Device-Model-Infra framework for addressing these IoT analytics challenges through combined programming models and data abstractions.
Study and Development of Temperature & Humidity monitoring system through Wir...IJERA Editor
Wireless sensor networks have become an integral part of any developing country as it is being used nowadays as the primary monitoring system in various applications. The wireless sensor networks eliminate the hazards associated with the wiring systems and make data measurement and monitoring process much easier and cost effective. The decentralized architecture of the wireless sensor network and its flexibility of deployment make wireless networks most suitable for various process plants, industries and remote & rural communication. In this work, applications of wireless sensor network is carried out on online measurement and monitoring of reaction chamber, furnace etc, which is to be measured in the industries.
Catalyst 2016: Bill Splits, Submeters, Chargeback ManagerEnergyCAP, Inc.
This document provides an overview and demonstration of EnergyCAP's submetering and chargeback functionality. It discusses navigating customer and account hierarchies, the building blocks of a chargeback including customers, accounts, meters and distributions, and examples of simple split distributions. It also covers order of setup, distribution setup, creating chargeback bills, submeter terminology and setup, and answering questions.
This document summarizes a research project that aims to attack neural network-based traffic sign recognition systems using adversarial images. The researchers generate toxic adversarial signs using techniques like fast gradient sign method and iterative gradient sign method to fool models into misclassifying signs. They find that single-step attacks work better in black-box settings while iterative attacks are more effective in white-box settings. Some potential defenses discussed include gradient masking, robust optimization of models, and detecting adversarial examples. The researchers conclude with a demonstration of their attacks and links to their source code and paper.
This document describes a visual analytics project that aims to create an interactive dashboard to monitor household energy consumption data. The dashboard will visualize the dataset using various charts like density plots, bar plots, line plots, heatmaps, box plots, and scatter plots. It will allow users to interact with the visualizations through actions like clicking, hovering, zooming, filtering, and switching. The dataset comes from a smart home dataset with weather information and contains energy usage data from different devices and weather parameters collected every second. The team's GitHub page contains all project resources.
A long range, energy efficient Internet of Things based drought monitoring sy...IJECEIAES
The climate change and global warning have been appeared as an emerging issue in recent decades. In which, the drought problem has been influenced on economics and life condition in Vietnam. In order to solve this problem, in this paper, we have designed and deployed a long range and energy efficient drought monitoring based on IoT (Internet of Things) for real time applications. After being tested in the real condition, the proposed system has proved its high dependability and effectiveness. The system is promising to become a potential candidate to solve the drought problem in Vietnam.
since the word limit is less so now i have to make it fill the criteria.pptxlightkira108
This document describes a student project consisting of two modules: a weather forecasting system and an online agricultural product marketing system. The weather forecasting system is a Python GUI application that utilizes the Tkinter module and OpenWeatherMap API to provide real-time weather information and crop suggestions. The online marketing system aims to create an efficient online platform for browsing and purchasing agricultural products like seeds and fertilizers. Both systems aim to leverage technology to benefit farmers and the agricultural community.
Design and Implementation of High Resolution Data Acquisition Systemijsrd.com
Fuel cell stacks containing hundreds of individual cells are capable of generating high voltage and current values needed for transportation, commercial, residential, portable and industrial power applications. Although majority of hydrogen produced today comes from reformulated natural gas generated through a process that creates a significant amount of carbon dioxide, fuel cell is still a viable energy source for the future electrical power applications. One of the hard cases of the fuel-cell power systems is proper monitoring, instrumentation and data acquisition of system parameters such as fuel flow into the system, AC and DC voltage values, load current, humidity, power, pressure, temperature, fuel utilization, overall system efficiency, noise, etc. Fuel cell test systems must precisely monitor and control the aforementioned hundreds of measurements in real-time. It is necessary to have an instrumentation system which is able to monitor and control fuel cell operation under varying conditions and accurately get information relating to real-time performance and operational characteristics to calculate fuel cell efficiency correctly. Instrumentation and interface systems must also provide flexible data acquisition, monitoring, and control capability to precisely control fuel cell operation. Therefore, a typical fuel cell test system requires high-resolution, high-voltage input, isolation, and waveform acquisition capability. The objective of this applied research project is design and implementation of a high-resolution data acquisition and interface module for a 500 W Hydrogen fuel cell power station using LabVIEW ™ PDS v8.20 software and field point based data acquisition modules.
Training materials developed with peers at Columbia University for Google, Inc. These materials illustrate methods to incorporate JavaScript into Google Earth Engine to generate relevant products for stakeholders using climate data.
SUNSHINE short overview of the project and its objectives Raffaele de Amicis
The document provides an overview of the SUNSHINE project, which aims to develop smart urban services for higher energy efficiency. It discusses the project objectives, timeline, partners, and budget. The project will create energy maps and models to optimize energy consumption in buildings and public lighting. It will deploy pilots in several cities to test the technologies in real-world conditions and assess energy savings. The last 12 months focused on completing the pilots, testing the technologies, gathering additional energy usage data, and standardizing the solutions.
This document describes a Zigbee-based weather monitoring system that uses wireless sensors to remotely monitor various weather parameters without human intervention. The system collects data from sensors that measure temperature, humidity, wind speed and direction, rainfall, and other factors. An ARM7 microcontroller is used to multiplex sensor data and transmit it wirelessly via Zigbee modules. The received data is sent to a computer system. The system provides accurate, real-time monitoring over a large area at low cost compared to traditional weather monitoring methods. It was found to reliably transmit weather data from multiple remote locations.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
This document summarizes a research project on implementing smart grid technologies in the cities of Grenoble and Lyon, France. It includes 3 key points:
1. The project, called GreenLys, aims to help end users consume energy better, integrate local renewable production, handle peaks in production/consumption, and improve grid reliability. It involves 11 work packages including intelligent management solutions.
2. The electrical network was modeled using software like GAMS, MATLAB, and RT-Lab. Several scenarios were evaluated using the real-time simulator to analyze different loads, phases, and reactive power situations.
3. Future work includes integrating SCADA communication and sending real-time information between simulation tools and analog devices
Use of Qualitative and Quantitative Data in Sectoral Energy Performance Bench...Umesh Bhutoria
This document discusses using statistical modeling to benchmark energy performance across textile plants. It presents a case study comparing the energy use of 3 plants based on production levels and counts. Key points:
- Production data and electricity use from the plants over 3 months is analyzed using statistical tools to model the relationship between energy use and factors like product type and count.
- The analysis identifies the largest impacts different factors have on each plant's energy use. It also calculates expected energy use and energy performance indexes based on the statistical models.
- The energy performance indexes change when the production mix or other factors are adjusted in the models, showing how normalization is important for accurate benchmarking. Deeper and more consistent data across more plants
IRJET- Temperature Conditioning for Solar DryerIRJET Journal
This document describes the design of a temperature controlled solar dryer. It begins with an introduction that explains the problems with traditional sun drying methods and how a solar dryer aims to improve the drying process. It then provides details on the methodology, including the use of a microcontroller to automatically control and maintain the temperature based on sensors. Diagrams of the system design and block diagrams of the circuit are included. The drying chamber consists of multiple trays and the microcontroller is programmed with different temperature ranges for different seasons and products. When drying is complete, an alarm will sound to notify the user. In summary, this document outlines the design of an automated solar dryer that uses a microcontroller to precisely control temperature during drying based on
Understanding how sub-metering benefits multifamily residential owners by providing information at a local level, enabling building occupants and tenant agencies to identify smarter decision about their energy use.
Kamstrup RHI Compliant Heat Meters & Thermal Energy Measurement - Multical 60...Thorne & Derrick UK
MULTICAL 602 is an energy calculator that measures heat, cooling, and combined heat/cooling. It connects to flow sensors and temperature sensors to calculate energy usage. It has a long battery life, stores consumption data daily/hourly, and has various communication options. Its info codes and data loggers monitor the system for errors and allow troubleshooting. It provides accurate measurements over its lifetime to optimize building operations and energy billing.
This document summarizes a project that developed an IoT-based smart module to optimize energy usage in homes. The module uses sensor nodes to measure electricity and gas consumption of appliances like air conditioners and heaters. It collects real-time data and uses machine learning to intelligently switch between gas and electric supply based on consumption thresholds to reduce energy usage and costs without compromising comfort. The project achieved its objectives of prototyping the switching module and mobile app interface and evaluating its efficiency through hardware implementation and results analysis.
The document discusses using big data technologies for environmental forecasting and climate prediction at the Barcelona Supercomputing Center (BSC). It outlines three key areas: 1) Developing capabilities for air quality forecasting using data streaming; 2) Implementing simultaneous analytics and high-performance computing for climate predictions; 3) Developing analytics as a service using platforms like the Earth System Grid Federation to provide climate data and services to users. The BSC is working on several projects applying big data, including operational air quality and dust forecasts, high-resolution city-scale air pollution modeling, and decadal climate predictions using workflows and remote data analysis.
Control Consultants, Inc, (CCI) developed a robust Niagara metering dashboard to address Niagara metering dashboard and aggregation needs! The metering dashboard is for use on any Niagara device and can be used with Honeywell meters, E-mon D-mon Kw meters or any generic pulse meter.
MetOp Satellites Data Processing for Air Pollution Monitoring in Morocco IJECEIAES
This paper presents a data processing system based on an architecture comprised of multiple stacked layers of computational processes that transforms Raw Binary Pollution Data coming directly from Two EUMETSAT MetOp satellites to our servers, into ready to interpret and visualise continuous data stream in near real time using techniques varying from task automation, data preprocessing and data analysis to machine learning using feedforward artificial neural networks. The proposed system handles the acquisition, cleaning, processing, normalizing, and predicting of Pollution Data in our area of interest of Morocco.
Spark Streaming and IoT by Mike FreedmanSpark Summit
This document discusses using Spark Streaming for IoT applications and the challenges involved. It notes that while Spark simplifies programming across different processing intervals from batch to stream, programming models alone are not sufficient as IoT data streams can have varying rates and delays. It proposes a unified data infrastructure with abstractions like data series that support joining real-time and historical data while handling delays transparently. It also suggests approaches for Spark Streaming to better support processing many independent low-volume IoT streams concurrently and improving resource utilization for such applications. Finally, it introduces the Device-Model-Infra framework for addressing these IoT analytics challenges through combined programming models and data abstractions.
Study and Development of Temperature & Humidity monitoring system through Wir...IJERA Editor
Wireless sensor networks have become an integral part of any developing country as it is being used nowadays as the primary monitoring system in various applications. The wireless sensor networks eliminate the hazards associated with the wiring systems and make data measurement and monitoring process much easier and cost effective. The decentralized architecture of the wireless sensor network and its flexibility of deployment make wireless networks most suitable for various process plants, industries and remote & rural communication. In this work, applications of wireless sensor network is carried out on online measurement and monitoring of reaction chamber, furnace etc, which is to be measured in the industries.
Catalyst 2016: Bill Splits, Submeters, Chargeback ManagerEnergyCAP, Inc.
This document provides an overview and demonstration of EnergyCAP's submetering and chargeback functionality. It discusses navigating customer and account hierarchies, the building blocks of a chargeback including customers, accounts, meters and distributions, and examples of simple split distributions. It also covers order of setup, distribution setup, creating chargeback bills, submeter terminology and setup, and answering questions.
This document summarizes a research project that aims to attack neural network-based traffic sign recognition systems using adversarial images. The researchers generate toxic adversarial signs using techniques like fast gradient sign method and iterative gradient sign method to fool models into misclassifying signs. They find that single-step attacks work better in black-box settings while iterative attacks are more effective in white-box settings. Some potential defenses discussed include gradient masking, robust optimization of models, and detecting adversarial examples. The researchers conclude with a demonstration of their attacks and links to their source code and paper.
This document describes a visual analytics project that aims to create an interactive dashboard to monitor household energy consumption data. The dashboard will visualize the dataset using various charts like density plots, bar plots, line plots, heatmaps, box plots, and scatter plots. It will allow users to interact with the visualizations through actions like clicking, hovering, zooming, filtering, and switching. The dataset comes from a smart home dataset with weather information and contains energy usage data from different devices and weather parameters collected every second. The team's GitHub page contains all project resources.
Cloud-based Stream Analytics VS InfuxDB Time-series analyticsLeonardoSalvucci1
This document compares cloud-based stream analytics using Microsoft Azure to time-series analytics using InfluxDB. Both platforms allow querying temporal data using SQL-like languages and provide common functions for aggregation, time, and DML statements. The main differences are that Azure is cloud-based only while InfluxDB can be used locally, Azure has commercial licensing while InfluxDB is open source, and Azure supports fewer programming languages for input/output.
This document describes a forest fire prevention system called Forests Safe. It uses IoT sensors to monitor environmental conditions related to fire risk, including temperature, humidity, rainfall and fuel moisture levels. The sensors transmit data via LoRaWAN to a cloud platform where a risk model calculates the fire risk level in real-time. Risk levels of low, medium, high or very high are pushed to Firebase. The system is intended for small/medium landowners and aims to help prevent fires through early detection without the complexity of a large sensor network. It uses inexpensive, easily deployable hardware and cloud technologies like TheThingsNetwork and AWS to process the risk model.
In this presentation, we show the User Evaluation about the project for the Internet of things course. Our solution aims to curb the real problem of monitoring and prevention of forest fires.
We offer an economical and flexible solution for real-time monitoring of forest fires. Our goal is to create a usable product that aims to satisfy the customer's needs.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
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.
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
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
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
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Home Energy Monitoring
1. Visual Analytics Project 2019/2020
Home
Energy
Monitoring
Fabio Montello 1834411
Leonardo Salvucci 1601997
2. Our goal is to create a complex but user-friendly dashboard that
allows a user to monitor household hourly, daily and weekly
consumption.
We will illustrate the visualization techniques designed to analyze
the dataset and interact with it.
Project goals
3. Pipeline Dataset
Data cleaning and preparation
Technologies
Python and d3.js
Visualization
Density plot, bar plot, line plot, heatmap, box plot, scatterplot, etc.
Actions
Click, mouseover, zoom, lateral sliding, switch etc.
Filters
Filtering datasets by user interaction
7. Charts – Density plot
Description
Weekly representation of the total
consumption by devices and the
quantity generated by solar
panels
Interactions
1) MOUSEOVER: Highlighting
of the selected parameters
2) ZOOM: Data filtering
3) SWITCH BUTTON: Switch
to consumption for individual
devices
4) BRUSH SLIDER: Side
navigation in the graph
Parameters
Gen, Use
8. Charts – Density plot
Description
Weekly representation of consumption
by single device, with different colors
Interactions
1) MOUSEOVER: Highlighting
of the selected parameters and
update label value
2) CLICK CHECKBOX:
Add/remove the device view
3) ZOOM: Data filtering
4) SWITCH BUTTON: Switch
to general consumption
5) LATERAL SLIDING: Side
navigation in the graph
Parameters
Barn, Dishwasher, Fridge, Furnace 1,
Furnace 2, Garage door, Home office,
Kitchen 12, Kitchen 14, Kitchen 38,
Living room, Microwave, Well, Wine
cellar
9. Charts – Correlation matrix
Description
Representation of the relationship
between parameters of the dataset
Interactions
1) MOUSEOVER: Highlighting
of the selected parameters
Parameters
Barn, Dishwasher, Fridge, Furnace 1,
Furnace 2 , Garage door, Home office
,Kitchen 12 ,Kitchen 14 ,Kitchen 38 ,
Living room , Microwave ,Well ,Wine
cellar ,dewPoint, gen , humidity,
precipIntensity,precipProbability,
pressure, temperature, use, visibility,
windBearing, windSpeed
10. Charts – Scatter & Parallel plot
Description
t-SNE projection on two
dimensions of weather
parameters. Color scale for energy
consumption.
Interactions
1) SCATTER PLOT AREA
SELECTION: Filtering data in the
parallel graph
2) PARALLEL COORDINATES
AXIS SELECTION: Filtering data
in the scatter plot
3) AXIS SORTING: Reordering
the axis according to user’s
interest
Parameters
dewPoint , humidity, precipIntensity,
precipProbability, pressure,
temperature, visibility, windBearing,
windSpeed
11. PCA vs t-SNE
t-distributed Stochastic Neighbor
Embedding
Principal Component Analysis
Total Variance: 0.46
12. Charts – Heat Map
Description
Weekly representation of the
device’s consumption. Each box
represents (based on the color
scale) the sum of the average of
each device’s consumption on that
day/hour
Interactions
1) MOUSEOVER: Display of
the corresponding value
2) CLICK: Opening of the bar
plot
Parameters
Barn, Dishwasher, Fridge, Furnace 1,
Furnace 2 , Garage door, Home office,
Kitchen 12 ,Kitchen 14, Kitchen 38 ,
Living room, Microwave , Well, Wine
cellar
13. Charts – Bar plot
Description
Device consumption for a specific
day/hour. Each bar represents the
average consumption of each device at
that time
Interactions
1) MOUSEOVER: Display of
the corresponding value
2) CLICK: Opening of the line
plot
3) SWITCH: Showing average
for hour of the week or for daily
consumption
4) BACK: Go to the previous
state
Parameters
Time, Barn, Dishwasher, Fridge, Furnace
1, Furnace 2 , Garage door, Home office,
Kitchen 12 ,Kitchen 14, Kitchen 38 ,
Living room, Microwave , Well, Wine
cellar
14. Charts – Line plot
Description
Representation of the device’s
consumption for a specific
hour/day. Each point of the graph
represents the consumption at the
instant considered
Interactions
1) MOUSEOVER: Display of
the exact value of time and Kw.
A dashed line is added to
facilitate comparison
2) BACK: Return to the
previous state
Parameters
Time, Barn, Dishwasher, Fridge,
Furnace 1, Furnace 2 , Garage door,
Home office, Kitchen 12 ,Kitchen 14,
Kitchen 38 , Living room, Microwave ,
Well, Wine cellar
15. Charts – Box Plot 1
Description
It represents 90% of the weekly
surveys for each device
Interactions
1) MOUSEOVER: Display of
the list of corresponding
values. Three lines are added
to facilitate comparison
between the devices
2) CLICK: View the entire
distribution and open the bar
plots, concurrently
Parameters
Barn, Dishwasher, Fridge, Furnace 1,
Furnace 2 , Garage door, Home
office, Kitchen 12, Kitchen 14,
Kitchen 38, Living room, Microwave,
Well, Wine cellar
16. Charts – Box Plot 2
Description
It represents 90% of the weekly
surveys for each device
Interactions
1) MOUSEOVER: Display of
the list of corresponding
values. Three lines are added
to facilitate comparison
between the devices
2) CLICK: Open the bar plots
3) RESET: Reset the chart
Parameters
Barn, Dishwasher, Fridge, Furnace
1, Furnace 2 , Garage door, Home
office, Kitchen 12, Kitchen 14,
Kitchen 38, Living room, Microwave,
Well, Wine cellar
17. Charts – Bar Plots
Description
Combination of bar plots for
displaying the weekly consumption
for individual device, with
corresponding consumption for hour
Parameters
Time, Barn, Dishwasher, Fridge,
Furnace 1, Furnace 2, Garage door,
Home office, Kitchen 12, Kitchen
14, Kitchen 38, Living room,
Microwave, Well, Wine cellar
Interactions
1) MOUSEOVER: Display of the
corresponding values
2) CLICK: The bar clicked is
highlighted and the corresponding
graph is updated