124 research outputs found
Mining a Small Medical Data Set by Integrating the Decision Tree and t-test
[[abstract]]Although several researchers have used statistical methods to prove that aspiration followed by the injection of 95% ethanol left in situ (retention) is an effective treatment for ovarian endometriomas, very few discuss the different conditions that could generate different recovery rates for the patients. Therefore, this study adopts the statistical method and decision tree techniques together to analyze the postoperative status of ovarian endometriosis patients under different conditions. Since our collected data set is small, containing only 212 records, we use all of these data as the training data. Therefore, instead of using a resultant tree to generate rules directly, we use the value of each node as a cut point to generate all possible rules from the tree first. Then, using t-test, we verify the rules to discover some useful description rules after all possible rules from the tree have been generated. Experimental results show that our approach can find some new interesting knowledge about recurrent ovarian endometriomas under different conditions.[[journaltype]]國外[[incitationindex]]EI[[booktype]]紙本[[countrycodes]]FI
Advanced Trends in Wireless Communications
Physical limitations on wireless communication channels impose huge challenges to reliable communication. Bandwidth limitations, propagation loss, noise and interference make the wireless channel a narrow pipe that does not readily accommodate rapid flow of data. Thus, researches aim to design systems that are suitable to operate in such channels, in order to have high performance quality of service. Also, the mobility of the communication systems requires further investigations to reduce the complexity and the power consumption of the receiver. This book aims to provide highlights of the current research in the field of wireless communications. The subjects discussed are very valuable to communication researchers rather than researchers in the wireless related areas. The book chapters cover a wide range of wireless communication topics
A survey on Bluetooth multi-hop networks
Bluetooth was firstly announced in 1998. Originally designed as cable replacement connecting devices in a point-to-point fashion its high penetration arouses interest in its ad-hoc networking potential. This ad-hoc networking potential of Bluetooth is advertised for years - but until recently no actual products were available and less than a handful of real Bluetooth multi-hop network deployments were reported. The turnaround was triggered by the release of the Bluetooth Low Energy Mesh Profile which is unquestionable a great achievement but not well suited for all use cases of multi-hop networks. This paper surveys the tremendous work done on Bluetooth multi-hop networks during the last 20 years. All aspects are discussed with demands for a real world Bluetooth multi-hop operation in mind. Relationships and side effects of different topics for a real world implementation are explained. This unique focus distinguishes this survey from existing ones. Furthermore, to the best of the authors’ knowledge this is the first survey consolidating the work on Bluetooth multi-hop networks for classic Bluetooth technology as well as for Bluetooth Low Energy. Another individual characteristic of this survey is a synopsis of real world Bluetooth multi-hop network deployment efforts. In fact, there are only four reports of a successful establishment of a Bluetooth multi-hop network with more than 30 nodes and only one of them was integrated in a real world application - namely a photovoltaic power plant. © 2019 The Author
Energy Efficiency
This book is one of the most comprehensive and up-to-date books written on Energy Efficiency. The readers will learn about different technologies for energy efficiency policies and programs to reduce the amount of energy. The book provides some studies and specific sets of policies and programs that are implemented in order to maximize the potential for energy efficiency improvement. It contains unique insights from scientists with academic and industrial expertise in the field of energy efficiency collected in this multi-disciplinary forum
A sensor node soC architecture for extremely autonomous wireless sensor networks
Tese de Doutoramento em Engenharia Eletrónica e de Computadores (PDEEC) (especialidade em Informática Industrial e Sistemas Embebidos)The Internet of Things (IoT) is revolutionizing the Internet of the future and the
way new smart objects and people are being connected into the world. Its pervasive
computing and communication technologies connect myriads of smart devices, presented
at our everyday things and surrounding objects. Big players in the industry
forecast, by 2020, around 50 billion of smart devices connected in a multitude of scenarios
and heterogeneous applications, sharing data over a true worldwide network.
This will represent a trillion dollar market that everyone wants to take a share.
In a world where everything is being connected, device security and device interoperability
are a paramount. From the sensor to the cloud, this triggers several
technological issues towards connectivity, interoperability and security requirements
on IoT devices. However, fulfilling such requirements is not straightforward. While
the connectivity exposes the device to the Internet, which also raises several security
issues, deploying a standardized communication stack on the endpoint device
in the network edge, highly increases the data exchanged over the network. Moreover,
handling such ever-growing amount of data on resource-constrained devices,
truly affects the performance and the energy consumption. Addressing such issues
requires new technological and architectural approaches to help find solutions to
leverage an accelerated, secure and energy-aware IoT end-device communication.
Throughout this thesis, the developed artifacts triggered the achievement of important
findings that demonstrate: (1) how heterogeneous architectures are nowadays
a perfect solution to deploy endpoint devices in scenarios where not only (heavy
processing) application-specific operations are required, but also network-related capabilities
are major concerns; (2) how accelerating network-related tasks result in a
more efficient device resources utilization, which combining better performance and
increased availability, contributed to an improved overall energy utilization; (3) how
device and data security can benefit from modern heterogeneous architectures that
rely on secure hardware platforms, which are also able to provide security-related
acceleration hardware; (4) how a domain-specific language eases the co-design and
customization of a secure and accelerated IoT endpoint device at the network edge.Internet of Things (IoT) é o conceito que está a revolucionar a Internet do futuro
e a forma como coisas, processos e pessoas se conectam e se relacionam numa infraestrutura
de rede global que interligará, num futuro próximo, um vasto número de
dispositivos inteligentes e de utilização diária. Com uma grande aposta no mercado
IoT por parte dos grandes líderes na industria, algumas visões otimistas preveem
para 2020 mais de 50 mil milhões de dispositivos ligados na periferia da rede, partilhando
grandes volumes de dados importantes através da Internet, representando
um mercado multimilionário com imensas oportunidades de negócio.
Num mundo interligado de dispositivos, a interoperabilidade e a segurança é uma
preocupação crescente. Tal preocupação exige inúmeros esforços na exploração de
novas soluções, quer a nível tecnológico quer a nível arquitetural, que visem impulsionar
o desenvolvimento de dispositivos embebidos com maiores capacidades de
desempenho, segurança e eficiência energética, não só apenas do dispositivo em si,
mas também das camadas e protocolos de rede associados. Apesar da integração
de pilhas de comunicação e de protocolos standard das camadas de rede solucionar
problemas associados à conectividade e a interoperabilidade, adiciona a sobrecarga
inerente dos protocolos de comunicação e do crescente volume de dados partilhados
entre os dispositivos e a Internet, afetando severamente o desempenho e a disponibilidade
do mesmo, refletindo-se num maior consumo energético global.
As soluções apresentadas nesta tese permitiram obter resultados que demonstram:
(1) a viabilidade de soluções heterogéneas no desenvolvimento de dispositivos IoT,
onde não só tarefas inerentes à aplicação podem ser aceleradas, mas também tarefas
relacionadas com a comunicação do dispositivo; (2) os benefícios da aceleração de
tarefas e protocolos da pilha de rede, que se traduz num melhor desempenho do
dispositivo e aumento da disponibilidade do mesmo, contribuindo para uma melhor
eficiência energética; (3) que plataformas de hardware modernas oferecem mecanismos
de segurança que podem ser utilizados não apenas em prol da segurança do
dispositivo, mas também nas capacidades de comunicação do mesmo; (4) que o desenvolvimento
de uma linguagem de domínio específico permite de forma mais eficaz
e eficiente o desenvolvimento e configuração de dispositivos IoT inteligentes.This thesis was supported by a PhD scholarship from Fundação para a Ciência e Tecnologia, SFRH/BD/90162/201
Applications
Volume 3 describes how resource-aware machine learning methods and techniques are used to successfully solve real-world problems. The book provides numerous specific application examples: in health and medicine for risk modelling, diagnosis, and treatment selection for diseases in electronics, steel production and milling for quality control during manufacturing processes in traffic, logistics for smart cities and for mobile communications
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