O presente estudo tem como objetivo investigar o papel do professor de educação infantil na detecção precoce necessidades especiais, enfatizando a importância da formação continuada e das práticas pedagógicas adotadas no contexto escolar. A pesquisa se justifica pela necessidade compreender os educadores podem identificar, desde primeiros anos escolarização, sinais dificuldades nas crianças, contribuindo para uma intervenção mais eficaz. metodologia utilizada foi revisão bibliográfica...

Some of the most difficult problems to deal with when using Wireless Sensor Networks (WSNs) are related unreliable nature communication channels. In this context, use cooperative diversity techniques and application network coding concepts may be promising solutions improve reliability. paper, we propose NetCoDer scheme address problem. Its design is based on merging concepts. We evaluate effectiveness through both an experimental setup real WSN nodes a simulation assessment, comparing...

The use of mobile nodes to collect data in a Wireless Sensor Network (WSN) has gained special attention over the last years. Some researchers explore Unmanned Aerial Vehicles (UAVs) as node for such data-collection purposes. Analyzing these works, it is apparent that used scenarios are typically equipped with at least two different radio interfaces. present work presents Dual-Stack Single-Radio Communication Architecture (DSSRCA), which allows UAV communicate bidirectional manner WSN and...

Achieving RF connectivity is a critical issue in any wireless application. This particularly challenging mobile applications, as links are up and down many times. In such scenarios, where nodes keep on moving, it would be interesting for them to have knowledge of their remaining time. Such information can used, instance, improve existing network protocols. The current paper addresses this problem by presenting the so-called Oriented Birth-Death (O-BD). proposed solution modified version (BD)...

The increasing adoption of the Internet things and cloud computing in recent years provided development improvement various well-known approaches, such as ambient assisted living approach. merging brought about so-called CloudIoT paradigm. intends to extend both technologies make possible developing next generation smart environments, healthcare applications. New applications demand an capacity resources for storing, processing, transmitting data. Looking at this scenario, along with growing...

In this paper, we present a Semi-Supervised Deep Learning approach for anomaly detection of Wind Turbine generators based on vibration signals. The proposed solution is integrated into an IoT Platform as real-time Workflow. Workflow responsible the whole process when new sample inserted in Platform, performing data gathering, preprocessing, feature extraction, and classification. chosen model DAE, which builds normality using healthy data. classification consists comparing reconstruction...

ABSTRACT Background Brazil has the second largest COVID-19 number of cases, worldly. Even so, underdiagnosis in country is massive. Nowcasting techniques have helped to overcome underdiagnosis. Recent advances machine learning offer opportunities refine nowcasting. This study aimed analyze COVID-19, through nowcasting with learning, a South capital. Methods The an observational ecological design. It used data from 3916 notified cases April 14 th June 02 nd , 2020, Florianópolis, Santa...

This paper presents a new routing protocol named RACE (network conditions Aware geographical forwarding for real-time applications in mobile wireless sensor networks) that was developed to address the challenges found while using WSNs running competition scenario: QoS, mobility, and high workload. aims provide QoS requirements application layer by giving priority messages also handling network congestions. Routing is performed node-by-node, where each node calculates score choose best...

In the automotive industry, study of internal combustion engines (ICE) has massively been studied to identify occurrence some failures, such as engine knock [1], [2]. The this phenomenon on directly affects maintenance cost and longer life. use machine learning for failure detection is highlighted [3]–[6]. An investigation was carried out by performing experiments with a Renault Sandero car, collecting sets variables batch analysis. paper, we artificial intelligence techniques data-driven...

One of the requirements Industry 4.0 is concern about stability its product development. Applying emerging technologies to improve quality control a significant step in achieving balance production process. The acoustic emission highly efficient technique used industry test products detect structural failures. This type method well known as non-destructive testing. We assert that can be significantly improved by combining with machine learning techniques. To achieve our claim, we built...

This paper describes a low cost wireless communication infrastructure designed for short-range Unmanned Aerial Vehicle (UAV). It aims at providing link between the UAV and base station also additional links that may allow collecting data from remote Wireless Sensor Network (WSN). The challenge here is using same hardware to communicate with potential heterogeneous devices different protocols. details software layer support reliable station, as well highly efficient best-effort nodes WSN. For...

This paper presents a middleware infrastructure for integration of heterogeneous embedded devices in ubiquitous computing environments. The proposed employs the Devices Profile Web Services (DPWS) as underlying technology, allowing that adopt different networking standards to interact with each other, through use interconnection and software components responsible building communication path among them. A prototype implementation this is also described, results performance measurements...

The use of cooperative diversity techniques and network coding concepts are promising solutions to improve the communication reliability in industrial Wireless Sensor Networks (WSNs). In this paper, we propose NetCoDer scheme address problem, whose design is based these concepts. effectiveness evaluated through both an experimental setup with real WSN nodes a simulation assessment, comparing its performance against state-of-the-art TDMA-based retransmission techniques.

To analyze the underdiagnosis of COVID-19 through nowcasting with machine learning in a Southern Brazilian capital city.Observational ecological design and data from 3916 notified cases April 14th to June 2nd, 2020 Florianópolis, Brazil. A machine-learning algorithm was used classify that had no diagnosis, producing nowcast. underdiagnosis, difference between without median nowcasted projections for entire period six days date onset symptoms were compared.The number new throughout 389. With...

The use of Wireless Sensor Networks (WSNs) is considerably increasing, mainly due to their inherent low cost and wide range applications. formation a WSN driven by request-based procedure that associates sensor nodes PAN (Personal Area Network) coordinator. In the IEEE 802.15.4 standard, communication exchanges between node willing join network coordinator follows CSMA/CA protocol. this paper, we propose set specific improvements for enhancement joining procedure. goal reduce time spent in...

Many Wireless Sensor Network (WSN) applications operate autonomously in unreliable or inaccessible environments, precluding maintenance human intervention. Redundant deployment schemes are usually considered this scenario, making the network resilient to failure and environmental changes. Furthermore, sleep-scheduling techniques can also be applied, enabling redundant nodes turn off their radios, while active perform monitoring services. This paper investigates behavior of (m, k)-Gur Game...