657 research outputs found
Performance assessment for mountain bike based on WSN and Cloud Technologies
The mountain bike is one of the most used equipment’s in outdoor sports activities. The thesis
describes the design and all development and implementation of Performance Assessment for
Mountain Bike based on Wireless Sensor Network (WSN) and Cloud Technologies. The
work presents a distributed sensing system for cycling assessment-providing data for
objective evaluation of the athlete performance during training. Thus a wireless sensor
network attached to the sport equipment provides to the athlete and the coach with
performance values during practice. The sensors placed in biker equipment’s behave as nodes
of a WSN. This is possible with the developing of IoT-based systems in sports, the tracking
and monitoring of athletes in their activities has an important role on his formation as bikers
and helps to increase performance, through the analyze of each session. The implemented
system performs acquisition, processing and transmission, of data using a ZigBee wireless
networks that provide also machine-to-machine communication and data storage in a server
located in the cloud. As in many cycling applications use the phone as a module to get the
values, this work will be a little different making use of phone/tablet to consult information.
The information stored on the cloud server is accessed through a mobile application that
analyses and correlates all metrics calculated using the training data obtained during practice.
Additional information regarding the health status may be also considered. Therefore, the
system permits that athletes perform an unlimited number of trainings that can be accessed at
any time through the mobile application by the bikers and coach. Based on capability of the
system to save a history of the evolution of each athlete during training the system permits to
perform appropriate comparisons between different training sessions and different athlete’s
performances.A bicicleta de montanha é um dos equipamentos para desportos no exterior mais usada. A tese
descreve todo o desenho, desenvolvimento e implementação de Performance Assessment for
Mountain Bike based on WSN and Cloud Technologies. Este apresenta um sistema de deteção
distribuída para o aumento do desempenho, melhorar a metodologia da prática do ciclismo e
para formação de atletas. Para tal foi desenvolvida e anexada uma rede de sensores que está
embutida no equipamento do ciclista, através desta rede de sensores sem fios são obtidos os
valores respetivos à interação do utilizador e a sua bicicleta, sendo estes apresentados ao
treinador e ao próprio ciclista. Os sensores colocados comportam-se como nós de uma rede de
sensores sem fios. Isso é possível com o desenvolvimento de sistemas baseados na Internet
das coisas no desporto, a observação da movimentação e monitoramento de atletas nas suas
atividades tem um papel importante na sua formação como ciclistas e ajuda a aumentar o
desempenho. O sistema é baseado numa rede ZigBee sem fios, que permite a comunicação
máquina-para-máquina e o armazenamento de dados num servidor localizado na nuvem. Toda
a informação na nuvem pode ser acedida através de uma aplicação mobile que analisa e
correlaciona todos os valores calculados usando os dados recolhidos durante o treino efetuado
por cada ciclista. Como em muitas aplicações de ciclismo estas usam o telefone como um
módulo para obter os valores, neste trabalho o caso é diferente fazendo o uso do
telefone/tablet para apenas consultar as informações. Alguma informação sobre o ciclista é
fornecida para poder efetuar alguns cálculos, relativos à saúde do ciclista, neste caso toda a
energia gasta na prática de um determinado treino. Toda esta informação pode ser acedida
através de uma aplicação Android e por consequência num dispositivo Android. Com a
aplicação desenvolvida é possível observar e processar toda a informação recolhida através
dos sensores implementados, a observação dos dados recolhidos pode ser efetuada pelo
treinador responsável, como pelo próprio atleta. Portanto, o sistema permite a realização de
um ilimitado número de sessões de treino, estes podem ser consultados a qualquer momento
através da aplicação móvel. Fazendo com que seja possível manter um histórico da evolução
de cada atleta, podendo assim observar e comparar cada sessão de treino, realizada por cada
atleta
TinyML: Tools, Applications, Challenges, and Future Research Directions
In recent years, Artificial Intelligence (AI) and Machine learning (ML) have
gained significant interest from both, industry and academia. Notably,
conventional ML techniques require enormous amounts of power to meet the
desired accuracy, which has limited their use mainly to high-capability devices
such as network nodes. However, with many advancements in technologies such as
the Internet of Things (IoT) and edge computing, it is desirable to incorporate
ML techniques into resource-constrained embedded devices for distributed and
ubiquitous intelligence. This has motivated the emergence of the TinyML
paradigm which is an embedded ML technique that enables ML applications on
multiple cheap, resource- and power-constrained devices. However, during this
transition towards appropriate implementation of the TinyML technology,
multiple challenges such as processing capacity optimization, improved
reliability, and maintenance of learning models' accuracy require timely
solutions. In this article, various avenues available for TinyML implementation
are reviewed. Firstly, a background of TinyML is provided, followed by detailed
discussions on various tools supporting TinyML. Then, state-of-art applications
of TinyML using advanced technologies are detailed. Lastly, various research
challenges and future directions are identified.Comment: 12 pags, 3 tables, 4 figure
Enabling intuitive and efficient physical computing
Making tools for technology accessible to everyone is important for diverse and inclusive innovation. Significant effort has already been made to make software innovation more accessible, and this effort has created a movement of citizen developers. These citizen developers have the drive to create, but not necessarily the technical skill to innovate with technology. Software, however, has limited impact in the real world compared to hardware and here, physical computing is democratising access to technological innovation. Using microcontroller programming and networking, citizens can now build interactive devices and systems that respond to the real world. But building a physical computing device is riddled with complexity. Memory efficient but hard to use low-level programming languages are used to program microcontrollers, implementation efficient but hard to use wired protocols are used to compose microcontrollers and peripherals, and energy efficient but hard to configure wireless protocols are used to network devices to each other and to the Internet. This consistent trade off between efficiency and ease of use means that physical computing is inaccessible to some. This thesis seeks to democratise microcontroller programming and networking in order to make physical computing accessible to all. It provides a deep exploration of three areas fundamental to physical computing: programming, hardware composition, and wireless networking, drawing parallels with consumer technologies throughout. Based upon these parallels, it presents requirements for each area that may lead to a more intuitive physical computing experience. It uses these requirements to compare existing work in the space and concludes that no existing technology correctly strikes the balance between efficient operation for microcontrollers and intuitive experiences for citizen developers. It therefore goes onto describe and evaluate three new technologies designed to make physical computing accessible to everyone
A Review of Low-end, Middle-end and High-end IoT Devices
Internet of Things (IoT) devices play a crucial role in the overall development of IoT in providing countless applications in various areas. Due to the increasing interest and rapid technological growth of sensor technology, which have certainly revolutionized the way we live today, a need to provide a detailed analysis of the embedded platforms and boards is consequential. This paper presents a comprehensive survey of the recent and most-widely used commercial and research embedded systems and boards in different classification emphasizing their key attributes including processing and memory capabilities, security features, connectivity and communication interfaces, size, cost and appearance, operating system (OS) support, power specifications and battery life and listing some interesting projects for each device. Through this exploration and discussion, readers can have an overall understanding on this area and foster more subsequent studies
EYECOM: an innovative approach for computer interaction
The world is innovating rapidly, and there is a need for continuous interaction with the technology. Sadly, there do not exist promising options for paralyzed people to interact with the machines i.e., laptops, smartphones, and tabs. A few commercial solutions such as Google Glasses are costly and cannot be afforded by every paralyzed person for such interaction. Towards this end, the thesis proposes a retina-controlled device called EYECOM. The proposed device is constructed from off-the-shelf cost-effective yet robust IoT devices (i.e., Arduino microcontrollers, Xbee wireless sensors, IR diodes, and accelerometer). The device can easily be mounted on to the glasses; the paralyzed person using this device can interact with the machine using simple head movement and eye blinks. The IR detector is located in front of the eye to illuminate the eye region. As a result of illumination, the eye reflects IR light which includes electrical signals and as the eyelids close, the reflected light over eye surface is disrupted, and such change in reflected value is recorded. Further to enable cursor movement onto the computer screen for the paralyzed person a device named accelerometer is used. The accelerometer is a small device, with the size of phalanges, a human thumb bone. The device operates on the principle of axis-based motion sensing and it can be worn as a ring by a paralyzed person. A microcontroller processes the inputs from the IR sensors, accelerometer and transmits them wirelessly via Xbee wireless sensor (i.e., a radio) to another microcontroller attached to the computer. With the help of a proposed algorithm, the microcontroller attached to the computer, on receiving the signals moves cursor onto the computer screen and facilitate performing actions, as simple as opening a document to operating a word-to-speech software. EYECOM has features which can help paralyzed persons to continue their contributions towards the technological world and become an active part of the society. Resultantly, they will be able to perform number of tasks without depending upon others from as simple as reading a newspaper on the computer to activate word-to-voice software
SYSTEM DETECTION FOR VEHICLE MOVEMENT
The main objective for this project is to develop an intelligent robot which can detect an
obstacle object that blocking the main road. Besides the system also develop to create
one robot system that can follow certain path to be use in moving or transport
industries. Then security aspect also has been applied in this project by providing
surveillance camera which able to monitor certain activity at one place by transmitting
data or image recorded by it to security center.
This research is on artificial intelligence knowledge which related to knowledge and
intelligence that has been applied to robot system in order to implement the task which
is similar or more human can do. All the task are done using latest technology in order
to produce the greatest system that can be use by all sides and give benefit to all.
From the finish product, I hope this robot can be use for the broad purpose and
contribute to the big research of robotic development. From my research, Malaysia is
still new with robot development, and with that I hope robot industry can become wider.
Detection of GSM Based Accident Location, Vehicle Theft and Fuel Theft Using ARM Cortex M-3 Microcontroller
In Today's world the amount of vehicle theft, fuel theft and accident of vehicles are increasing day by day. As per the survey made, each year more than a million vehicles are stolen in the U.S (one vehicle every 30 seconds). Vehicle theft occurs not only in metropolitan areas but also it can occur in seedy areas of town. To overcome this limitation, an automotive localization system using GPS and GSM services for the detection of accident location, fuel theft and vehicle theft using ARM Cortex M-3 is proposed. Here, the Vehicle tracking and locking system installed in the vehicle, to track the place and locking engine motor. The place of the vehicle identified using Global Positioning system (GPS) and Global system mobile communication (GSM). These systems constantly watch a moving Vehicle and report the status on demand. When the theft identified, the responsible person send SMS to the ARM Cortex M-3 controller, then controller issue the control signals to stop the engine motor. Authorized person need to send the password to controller to restart the vehicle and open the door which provides more secured, reliable and low cost. The proposed model shows better in its performance
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