142,802 research outputs found
Design of Internet of Things (IoT) Based Hydroponic Controlling Device in Pyramid Greenhouse
Smart farming technology was previously implemented at Wedomartani experimental station, Faculty of Agriculture UPN "Veteran" Yogyakarta. It is proven to overcome human resource limitations in hydroponic cultivation. Even so, Smart farming has not been implemented yet in Pyramid Greenhouse, Which is the iconic landmark of the Faculty of Agriculture. Preparing IoT-based devices requires designs with certain specifications. Without an appropriate design, it would be found a failure system. This article’s purpose was to design an Internet of things (IoT) based hydroponic controlling device in Greenhouse Pyramid UPN “Veteran” Yogyakarta. It was built based on a literature study. Expert proofing was performed to ensure the design would work if implemented. The design contained the system overview, hardware description, user interface design, and integration of device system design in hydroponic installations. The design was positively accepted by users (Head of the experimental field and technicians). In the future, the proposed design needs to be realized as a part of greenhouse development
Smart Surge Irrigation Using Microcontroller Based Embedded Systems and Internet of Things
Surge Irrigation is a type of furrow irrigation and one of many efficient irrigation techniques. It is one of the economical techniques and requires minimum labor for monitoring it. In surge irrigation, water is applied intermittently to a field to achieve uniform distribution of water along the furrows, which is important while irrigating, as it ensures that there is enough water near the root zone of the crop. The uneven distribution can cause a loss in crop productivity.
Surge irrigation uses a surge valve, which is an electro-mechanical device that irrigates a field. The commercial surge valves available on the market are made to control only the time for the irrigation. However, their functionality is limited and requires human intervention to control and monitor the irrigation process. Therefore, monitoring the irrigation with these controllers is a big challenge. The lack of monitoring may result reduced irrigation efficiency.
The purpose of this thesis is to design and develop an embedded system for surge irrigation that resolves the drawback associated with the commercial surge valves. In this thesis, a “Surge Controller” is designed, implemented, and tested on the farm. The surge controller is a microcontroller-based embedded system, which runs the real-time operating system FreeRTOS on a single core ARM Cortex M3 microcontroller for multitasking. The important feature, which makes the surge controller “Smart”, is the Internet of Things (IoT) that enables the controller to send irrigation data over the Internet to a remote station.
During the Spring and Summer, 2017, the surge controller was developed and tested in the field at Rice Research and Extension Center of the University of Arkansas. Five irrigation events were run in a 20 acres soybean field. The controller was tested for the durability of the components in the environment and field conditions, performance and overall feasibility of the device to achieve successful results from an irrigation event. After the successful testing, the IoT feature was added in Fall 2017 and Spring 2018 and tested for its functionality by running a few irrigation events in the Laboratory. The surge controller worked as expected continuously without interruption
Project based learning on industrial informatics: applying IoT to urban garden
Copyright (c) 2018 IEEEThe fast evolution of technologies forces teachers to
trade content off for self-learning. PBL is one of the best ways
to promote self-learning and simultaneously boost motivation. In
this paper, we present our experience introducing project-based
learning in the last year subject. New Internet of Things (IoT) topic
allows us to carry out complete projects, integrating different
technologies and tools. Moreover, the selection of open-source and
standard free technologies makes easy and cheap the access to
hardware and software platforms used. We carefully have picked
communication, data management, and programming tools that
we think would be attractive to our students. They can start
making fast prototyping with little initial skills and, at the same
time, these are serious and popular tools widely used in the
industry. In this paper, we report on the design of a project-based
learning for our course and the impact this has on the
student satisfaction and motivation. Surveys taught us that tuning
the courses towards developing real projects on the field, has a
large impact on acceptance, learning objectives achievements and
motivation towards the course content.”I Plan Propio Integral de Docencia de la Universidad de Málaga” y Proyecto de InnovaciĂłn Educativa PIE17/085, de la Universidad de Málaga. Universidad de Málaga. Campus de Excelencia Internacional AndalucĂa Tech
Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions
Traditional power grids are being transformed into Smart Grids (SGs) to
address the issues in existing power system due to uni-directional information
flow, energy wastage, growing energy demand, reliability and security. SGs
offer bi-directional energy flow between service providers and consumers,
involving power generation, transmission, distribution and utilization systems.
SGs employ various devices for the monitoring, analysis and control of the
grid, deployed at power plants, distribution centers and in consumers' premises
in a very large number. Hence, an SG requires connectivity, automation and the
tracking of such devices. This is achieved with the help of Internet of Things
(IoT). IoT helps SG systems to support various network functions throughout the
generation, transmission, distribution and consumption of energy by
incorporating IoT devices (such as sensors, actuators and smart meters), as
well as by providing the connectivity, automation and tracking for such
devices. In this paper, we provide a comprehensive survey on IoT-aided SG
systems, which includes the existing architectures, applications and prototypes
of IoT-aided SG systems. This survey also highlights the open issues,
challenges and future research directions for IoT-aided SG systems
Enabling Micro-level Demand-Side Grid Flexiblity in Resource Constrained Environments
The increased penetration of uncertain and variable renewable energy presents
various resource and operational electric grid challenges. Micro-level
(household and small commercial) demand-side grid flexibility could be a
cost-effective strategy to integrate high penetrations of wind and solar
energy, but literature and field deployments exploring the necessary
information and communication technologies (ICTs) are scant. This paper
presents an exploratory framework for enabling information driven grid
flexibility through the Internet of Things (IoT), and a proof-of-concept
wireless sensor gateway (FlexBox) to collect the necessary parameters for
adequately monitoring and actuating the micro-level demand-side. In the summer
of 2015, thirty sensor gateways were deployed in the city of Managua
(Nicaragua) to develop a baseline for a near future small-scale demand response
pilot implementation. FlexBox field data has begun shedding light on
relationships between ambient temperature and load energy consumption, load and
building envelope energy efficiency challenges, latency communication network
challenges, and opportunities to engage existing demand-side user behavioral
patterns. Information driven grid flexibility strategies present great
opportunity to develop new technologies, system architectures, and
implementation approaches that can easily scale across regions, incomes, and
levels of development
Real-Time Context-Aware Microservice Architecture for Predictive Analytics and Smart Decision-Making
The impressive evolution of the Internet of Things and the great amount of data flowing through the systems provide us with an inspiring scenario for Big Data analytics and advantageous real-time context-aware predictions and smart decision-making. However, this requires a scalable system for constant streaming processing, also provided with the ability of decision-making and action taking based on the performed predictions. This paper aims at proposing a scalable architecture to provide real-time context-aware actions based on predictive streaming processing of data as an evolution of a previously provided event-driven service-oriented architecture which already permitted the context-aware detection and notification of relevant data. For this purpose, we have defined and implemented a microservice-based architecture which provides real-time context-aware actions based on predictive streaming processing of data. As a result, our architecture has been enhanced twofold: on the one hand, the architecture has been supplied with reliable predictions through the use of predictive analytics and complex event processing techniques, which permit the notification of relevant context-aware information ahead of time. On the other, it has been refactored towards a microservice architecture pattern, highly improving its maintenance and evolution. The architecture performance has been evaluated with an air quality case study
Software Defined Media: Virtualization of Audio-Visual Services
Internet-native audio-visual services are witnessing rapid development. Among
these services, object-based audio-visual services are gaining importance. In
2014, we established the Software Defined Media (SDM) consortium to target new
research areas and markets involving object-based digital media and
Internet-by-design audio-visual environments. In this paper, we introduce the
SDM architecture that virtualizes networked audio-visual services along with
the development of smart buildings and smart cities using Internet of Things
(IoT) devices and smart building facilities. Moreover, we design the SDM
architecture as a layered architecture to promote the development of innovative
applications on the basis of rapid advancements in software-defined networking
(SDN). Then, we implement a prototype system based on the architecture, present
the system at an exhibition, and provide it as an SDM API to application
developers at hackathons. Various types of applications are developed using the
API at these events. An evaluation of SDM API access shows that the prototype
SDM platform effectively provides 3D audio reproducibility and interactiveness
for SDM applications.Comment: IEEE International Conference on Communications (ICC2017), Paris,
France, 21-25 May 201
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