RFID System Applicability Model for Traceability of Luggage at Airports

One of the critical points in the framework of air transport, is the management of luggage at airports. Every year, a large number of people feel the need to travel for various reasons and that efficient management is a difficult task that needs to keep up with the growth demand in a satisfactorily. One of the problems that has not been solved is exactly the loss, misplacement or mishandling of baggage at airports, given the difficulty of the current management systems to monitor the baggage, which causes unwanted situations to life. Radiofrequency Identification Technology (RFID), integrated with an information system, presents itself as a solution to numerous daily setbacks in various segments, because its main feature is basically to capture information at a distance about some element in movement. By implementing a smart tag (tag) in each baggage, it becomes possible to trace it along the path. In order to solve this problem, the present work aims to develop a prototype software, integrated with RFID, to simulate the control of luggage at airports by means of three scenarios where luggage misplacement may occur

NCESPARC+: an implementation of a SPARC architecture with hardware support to multithreading for the multiplus multiprocessor

NCESP ARC + is an implementation of the SP ARC v: 8 architecture with hardware support to a variable number of thread contexts, which is under development for use within the framework of the Multiplus distributed shared-memory multiprocessor. It is expected to provide an efficient and automatic mechanism to hide the latency of busy-waiting synchronization loops, cachecoherence protocol and remote memory access operations within the Multiplus multiprocessor. NCESPARC + performs context-switching in at most four processor cycles whenever there is an instruction cache miss, a data dependency in relation to the destination operand of a pending load instruction or a busy-waiting synchronization loop. It has a decoupled architecture which allows the main pipeline to process instructions from a given context while the Memory Interface Unit performs memory access operations related to that same context or to any other context. Results of simulation experiments show the impact of some architectural parameters on the NCESPARC + processor performance and demonstrate that the use of multiple thread contexts can e.ffectively produce a much better utilization of the processor when long latency operations are performed In addition, NCESPARC + processor performance with a single context is superior to that of a standard implementation of the SPARC architecture due to its decoupled architecture

South American Expert Roundtable : increasing adaptive governance capacity for coping with unintended side effects of digital transformation

This paper presents the main messages of a South American expert roundtable (ERT) on the unintended side effects (unseens) of digital transformation. The input of the ERT comprised 39 propositions from 20 experts representing 11 different perspectives. The two-day ERT discussed the main drivers and challenges as well as vulnerabilities or unseens and provided suggestions for: (i) the mechanisms underlying major unseens; (ii) understanding possible ways in which rebound effects of digital transformation may become the subject of overarching research in three main categories of impact: development factors, society, and individuals; and (iii) a set of potential action domains for transdisciplinary follow-up processes, including a case study in Brazil. A content analysis of the propositions and related mechanisms provided insights in the genesis of unseens by identifying 15 interrelated causal mechanisms related to critical issues/concerns. Additionally, a cluster analysis (CLA) was applied to structure the challenges and critical developments in South America. The discussion elaborated the genesis, dynamics, and impacts of (groups of) unseens such as the digital divide (that affects most countries that are not included in the development of digital business, management, production, etc. tools) or the challenge of restructuring small- and medium-sized enterprises (whose service is digitally substituted by digital devices). We identify specific issues and effects (for most South American countries) such as lack of governmental structure, challenging geographical structures (e.g., inclusion in high-performance transmission power), or the digital readiness of (wide parts) of society. One scientific contribution of the paper is related to the presented methodology that provides insights into the phenomena, the causal chains underlying “wanted/positive” and “unwanted/negative” effects, and the processes and mechanisms of societal changes caused by digitalization

Human respiratory syncytial virus in children hospitalized for acute lower respiratory infection

OBJETIVO: Avaliar a prevalência e a sazonalidade do vírus respiratório sincicial humano (VRSH) em crianças de 0 a 6 anos hospitalizadas por infecção aguda das vias aéreas inferiores (IVAI) em São José do Rio Preto (SP) e a associação entre faixa etária, diagnóstico e VRSH. MÉTODOS: Entre maio de 2004 e setembro de 2005, foram estudados 290 episódios consecutivos de IVAI adquiridos na comunidade em crianças de 0 a 6 anos internadas no Hospital de Base de São José do Rio Preto. Para identificação do VRSH, foram coletadas amostras de secreção de nasofaringe e realizou-se análise molecular por meio da técnica de RT-PCR. RESULTADOS: A prevalência de VRSH foi de 29,3% nos episódios de IVAI hospitalizados. A IVAI foi frequente em lactentes (mediana de idade = 13,5 meses). O VRSH foi mais frequente nos casos de bronquiolite (64%) e no primeiro ano de vida (35%). Os episódios de infecção por VRSH ocorreram entre o outono e a primavera, com frequência maior em 2004 do que em 2005. Os critérios clínicos e radiológicos não foram suficientes para o diagnóstico de infecção pelo VRSH. Em 78,8% dos episódios de VRSH, houve tratamento com antibiótico. CONCLUSÕES: A prevalência do VRSH em crianças de 0 a 6 anos hospitalizadas por IVAI foi elevada, com predomínio nas mais jovens ou com bronquiolite. A circulação do vírus variou nos dois anos estudados. Os resultados sugerem necessidade de diagnóstico laboratorial do VRSR na prática clínica.OBJECTIVE: To evaluate the prevalence and seasonality of human respiratory syncytial virus (HRSV) in children aged 0 to 6 years, hospitalized with acute lower respiratory infection (ALRI) in São José do Rio Preto, SP, Brazil, and the association between age, diagnosis, and HRSV. METHODS: Between May 2004 and September 2005, we studied 290 consecutive episodes of community-acquired ALRI in children aged 0 to 6 years admitted to the Hospital de Base of São José do Rio Preto. In order to detect HRSV, nasopharyngeal secretion samples were collected and RT-PCR molecular analysis was performed. RESULTS: The HRSV prevalence was 29.3% for the cases of hospitalized patients with ALRI. ALRI was common in infants (median age = 13.5 months). HRSV was more frequent in cases of bronchiolitis (64%) and during the first year of life (35%). Episodes of HRSV infection occurred between fall and spring, showing higher frequency in 2004 than in 2005. Clinical and radiological criteria were not sufficient to establish the diagnosis of infection with HRSV. Antibiotic therapy was used in 78.8% of episodes of HRSV. CONCLUSIONS: There was a high prevalence of HRSV in children aged 0 to 6 years who were hospitalized for ALRI, predominantly in younger patients or those with bronchiolitis. The circulation of the virus varied in the two years studied. Our results suggest the need for laboratory diagnosis of HRSV in the clinical practice

Automação de árvores solares / Solar tree automation

Atualmente, a crise energética tornou-se um dos motivadores da pesquisa tecnológica na área de energias renováveis visando à melhoria contínua da captação de energia através do uso de ferramentas e técnicas mais eficientes. A tecnologia apresentada possui como base a junção das seguintes tecnologias: árvores solares, que em suas configurações naturais possuem maior eficiência na captação energética quando comparados com os modelos planos de painéis solares, e um sistema de controle de rastreamento solar (sistema de posicionamento e orientação para melhor disposição e captação de incidência solar). A pesquisa acadêmica apresentada neste projeto tem como objetivo buscar conhecimento nas áreas de estudo da automação sensorial, estudo de células solares flexíveis, aplicação de disposição e convexidade natural das folhas, montagem e elaboração de dispositivos, dimensionamento, projeto teórico e aplicação prática. 

Assessment of honey bee cells using deep learning

Temporal assessment of honey bee colony strength is required for different applications in many research projects. This task often requires counting the number of cells with brood and food reserves multiple times a year from images taken in the apiary. There are thousands of cells in each frame, which makes manual counting a time-consuming and tedious activity. Thus, the assessment of frames has been frequently been performed in the apiary in an approximate way by using methods such as the Liebefeld. The automation of this process using modern imaging processing techniques represents a major advance. The objective of this work was to develop a software capable of extracting each cell from frame images, classify its content and display the results to the researcher in a simple way. The cells’ contents display a high variation of patterns which added to light variation make their classification by software a challenging endeavor. To address this challenge, we used Deep Neural Networks (DNNs) for image processing. DNNs are known by achieving the state-of-art in many fields of study including image classification, because they can learn features that best describe the content being classified, such as the interior of frame cells. Our DNN model was trained with over 60,000 manually labeled images whose cells were classified into seven classes: egg, larvae, capped larvae, honey, nectar, pollen, and empty. Our contribution is an end-to-end software capable of doing automatic background removal, cell detection, and classification of its content based on an input image. With this software the researcher is able to achieve an average accuracy of 94% over all classes and get better results compared with approximation methods and previous techniques that used handmade features like color and texture.This research was funded through the 2013-2014 BiodivERsA/FACCE-JPJ joint call for research proposals,witht he national funders FCT (Portugal), CNRS (France), and MEC (Spain).info:eu-repo/semantics/publishedVersio

Zoneamento agroclimático para produção de mudas de morangueiro no Rio Grande do Sul.

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EAGLE: identificando os melhores locais para instalar câmeras de vigilância através da análise de dados abertos

A cidade de Feira de Santana é considerada a 14ª cidade mais violenta do mundo de acordo com o ranking divulgado pela organização Conselho Cidadão para a Segurança Pública e a Justiça Penal do México, levando em consideração o índice de homicídios registrados em 2018