Turbidity has an indication that the liquid has been contaminated. In the testing process, turbidity in water can only be measured by sampling. To be able to maintain the quality of water, required a tool that can monitor and measure the level of turbidity of water in real time. water turbidity sensor SEN0189 is a sensor that works by measuring the amount of light from infrared led into the phototransistor that will produce the output voltage on the sensor. The study was conducted to be able to characterize the ability of sensors in detecting water turbidity. The method used is to test the sensors using sediment soil that has been filtered with a diameter of Water is a chemical compound that is a source of human life used to fulfill the needs for everyday activities such as drinking, bathing, washing and other activities .
Internet of Things group-project for Pervasive Systems course - Spring 2018 at "Sapienza Università di Roma".
The idea is to create an Android App that collects data about the positions of the fountains worldwide and a cheap monitoring system to get the quality of the water.
You can check our Github repository here:
https://github.com/WaterMApp/AndroidApp
Demo:
https://youtu.be/W4Bmlybk8DI
Members:
Giuseppe Andreetti
Adriano Pimpini
Lucia Rodinò
Gabrio Tognozzi
AUTOMATIC PLANT WATERING SYSTEM USING ARDUINO BASED PPTrishav164
So what is this project? What does it do? Basically this is a soil moisture monitoring system, which detects if the moisture content in the soil is above or below a certain satisfactory threshold value. If it goes below a certain critical point, it is time to water the plant until the soil surrounding the plant is moist enough. An arrangement of a DC motor relay is used to control the watering mechanism.
Turbidity has an indication that the liquid has been contaminated. In the testing process, turbidity in water can only be measured by sampling. To be able to maintain the quality of water, required a tool that can monitor and measure the level of turbidity of water in real time. water turbidity sensor SEN0189 is a sensor that works by measuring the amount of light from infrared led into the phototransistor that will produce the output voltage on the sensor. The study was conducted to be able to characterize the ability of sensors in detecting water turbidity. The method used is to test the sensors using sediment soil that has been filtered with a diameter of Water is a chemical compound that is a source of human life used to fulfill the needs for everyday activities such as drinking, bathing, washing and other activities .
Internet of Things group-project for Pervasive Systems course - Spring 2018 at "Sapienza Università di Roma".
The idea is to create an Android App that collects data about the positions of the fountains worldwide and a cheap monitoring system to get the quality of the water.
You can check our Github repository here:
https://github.com/WaterMApp/AndroidApp
Demo:
https://youtu.be/W4Bmlybk8DI
Members:
Giuseppe Andreetti
Adriano Pimpini
Lucia Rodinò
Gabrio Tognozzi
AUTOMATIC PLANT WATERING SYSTEM USING ARDUINO BASED PPTrishav164
So what is this project? What does it do? Basically this is a soil moisture monitoring system, which detects if the moisture content in the soil is above or below a certain satisfactory threshold value. If it goes below a certain critical point, it is time to water the plant until the soil surrounding the plant is moist enough. An arrangement of a DC motor relay is used to control the watering mechanism.
To detect the flood that may arise in the Argao River by observing various natural factors, which includes humidity, temperature, water level and flow level
To eliminate or lessen the impacts of the flood, the system uses various natural factors to detect flood. The system has a wifi connectivity, thus it’s collected data can be accessed from anywhere quite easily using IoT.
To eliminate or lessen the impacts of the flood to people living near the Argao River
Flood is unpredictable it can happen any time even if sleeping in the middle of the night.
Manually checking of the changes of the water level in Argao River can cause a lot of time and effort.
Unable to detect early sign of flood may leading to property damage and loss of lives.
“IoT Early Flood Detection & Avoidance System” is an intelligent system which keeps close watch over various natural factors to predict a flood, so we can embrace ourselves for caution, to minimize the damage caused by the flood.
To eliminate or lessen the impacts of the flood, the system uses various natural factors to detect flood. The system has a WIFI connectivity, thus it’s collected data can be accessed from anywhere quite easily using IoT.
To detect a flood the system observes various natural factors, which includes humidity, temperature, water level and flow level. To collect data of mentioned natural factors the system consist of different sensors which collects data for individual parameters.
Groundwater is among the Nation’s most precious natural resources. Measurements of water levels in wells provide the most fundamental indicator of the status of this resource and are critical to meaningful evaluations of the quantity and quality of groundwater and its interaction with surface water.
Design of Flood Warning System Based IoT and Water CharacteristicsTELKOMNIKA JOURNAL
Indonesia is one of the tropical country with high rainfall. It causes a flood disaster that with the loss of property and life. Currently handling flood disasters in developing countries are still using many conventional ways. By using conventional way the flood early warning system is still not able to reach the wider community so that information too late of impending disaster received by the public. Besides that the speed of information is needed in the handling of disasters. Therefore a rapid flood warning system that can reach a wide area such as the internet is necessary to minimize the effects of disasters. IoT (Internet of Thing) is smart technology which has capability to send data in real time, connected to the smart phone, sensor and web service. This ability can be used for smart application to control and manage an early warning system. In this research we also use IoT technology to monitor and control the early detection system of flood disaster. By using IoT technology, sensor data can be sent in real time from sensor to smartphone through internet network. The sensor data contains the water characteristics data on the dam that will be processed in the data base. The processing data of water characteristic will be a decision of hazard level. That decision will be sent to users as notification into the user smartphone application. This research will be useful for deeply research on disaster management system and flood early detection system in Indonesia.
A project of Automatically Water Level Detector and Motor Controlling by Android Mobile Apps.The drinking water crisis in Bangladesh is reaching alarming proportions. It might very soon attain the nature of global crisis. Hence, it is of outmost importance to preserve water. In many houses there is unnecessary wastage of water due to overflow in Overhead Tanks. Automatic Water Level Controller can provide a solution to this problem. It can be most useful through android mobile apps. So water can be used to open or close and levels. As the water level rises or falls, different circuits in the controller send different signals. These signals are used to switch ON or switch OFF or Level mention and Control motor pump by Android apps as per our requirements
To detect the flood that may arise in the Argao River by observing various natural factors, which includes humidity, temperature, water level and flow level
To eliminate or lessen the impacts of the flood, the system uses various natural factors to detect flood. The system has a wifi connectivity, thus it’s collected data can be accessed from anywhere quite easily using IoT.
To eliminate or lessen the impacts of the flood to people living near the Argao River
Flood is unpredictable it can happen any time even if sleeping in the middle of the night.
Manually checking of the changes of the water level in Argao River can cause a lot of time and effort.
Unable to detect early sign of flood may leading to property damage and loss of lives.
“IoT Early Flood Detection & Avoidance System” is an intelligent system which keeps close watch over various natural factors to predict a flood, so we can embrace ourselves for caution, to minimize the damage caused by the flood.
To eliminate or lessen the impacts of the flood, the system uses various natural factors to detect flood. The system has a WIFI connectivity, thus it’s collected data can be accessed from anywhere quite easily using IoT.
To detect a flood the system observes various natural factors, which includes humidity, temperature, water level and flow level. To collect data of mentioned natural factors the system consist of different sensors which collects data for individual parameters.
Groundwater is among the Nation’s most precious natural resources. Measurements of water levels in wells provide the most fundamental indicator of the status of this resource and are critical to meaningful evaluations of the quantity and quality of groundwater and its interaction with surface water.
Design of Flood Warning System Based IoT and Water CharacteristicsTELKOMNIKA JOURNAL
Indonesia is one of the tropical country with high rainfall. It causes a flood disaster that with the loss of property and life. Currently handling flood disasters in developing countries are still using many conventional ways. By using conventional way the flood early warning system is still not able to reach the wider community so that information too late of impending disaster received by the public. Besides that the speed of information is needed in the handling of disasters. Therefore a rapid flood warning system that can reach a wide area such as the internet is necessary to minimize the effects of disasters. IoT (Internet of Thing) is smart technology which has capability to send data in real time, connected to the smart phone, sensor and web service. This ability can be used for smart application to control and manage an early warning system. In this research we also use IoT technology to monitor and control the early detection system of flood disaster. By using IoT technology, sensor data can be sent in real time from sensor to smartphone through internet network. The sensor data contains the water characteristics data on the dam that will be processed in the data base. The processing data of water characteristic will be a decision of hazard level. That decision will be sent to users as notification into the user smartphone application. This research will be useful for deeply research on disaster management system and flood early detection system in Indonesia.
A project of Automatically Water Level Detector and Motor Controlling by Android Mobile Apps.The drinking water crisis in Bangladesh is reaching alarming proportions. It might very soon attain the nature of global crisis. Hence, it is of outmost importance to preserve water. In many houses there is unnecessary wastage of water due to overflow in Overhead Tanks. Automatic Water Level Controller can provide a solution to this problem. It can be most useful through android mobile apps. So water can be used to open or close and levels. As the water level rises or falls, different circuits in the controller send different signals. These signals are used to switch ON or switch OFF or Level mention and Control motor pump by Android apps as per our requirements
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
6. Source : Indonesian Agency for Meteorological, Climatological and Geophysics
(Badan Meteorologi, Klimatologi, dan Geofisika or simply BMKG)
Map Analysis of Rainfall in May 2020
Caption
Rainfall
(LOW
)
(MID)
(HIGH)
7. HAPPENED
7.574 TIMES
FREQUENCY OF
THE FLOOD
DISASTER IN
INDONESIA
Source : National Agency For Disaster Management
(Badan Nasional Penanggulangan Bencana or simply BNPB)
8. FLOOD DAMAGES AND LOSSES
ESTIMATED FOR 2014 IN INDONESIA
IDR 30 Trillion
Source : National Agency For Disaster Management
(Badan Nasional Penanggulangan Bencana or simply BNPB)
10. The rubber will not shift because the
weight of water will press the cloth
down
Solar Panel
Waterflow Sensor
&
PH sensor
LCD Arduino &
LED
11. APPLICATION DESIGN
Application Monitoring
:
• Monitor the water
flow.
• Water level with color
indicator (danger,
medium, safe).
• Monitor battery
condition.
Alert System :
To give an alert
on smartphone.
Automatic Barrier
System :
To give an information
about the barrier
condition.
To inform the Flood
Barrier location.
Ph Indicator :
• To monitor the water
quality.
• As an indicator river
pollution .
15. Benefit
s
FLOOD BARRIER
Lowering the cost of damages
caused by floods
$
Be a solution in dealing with floods
Slowing down the time when flood
happens with adding river overflow
capacity
To make it easier for users to monitor
river conditions
16. The LED will change color based on the water
high and show the data difference on the
The water will be followed up by the
government to be used for public
purpose
PROTOTYPE
VIDEO
When the water volume is getting higher
After that the BNPB team will come to
suck the water before it overflowing
Beside that, this innovation also can detect
the level of water pollution through the pH
Barrier will automatically expand to
accomodate the water temporarily