Metameric MIMO-OOK transmission scheme using multiple RGB LEDs

In this work, we propose a novel visible light communication (VLC) scheme utilizing multiple di erent red green and blue triplets each with a di erent emission spectrum of red, green and blue for mitigating the e ect of interference due to di erent colors using spatial multiplexing. On-o keying modulation is considered and its e ect on light emission in terms of flickering, dimming and color rendering is discussed so as to demonstrate how metameric properties have been considered. At the receiver, multiple photodiodes with color filter-tuned on each transmit light emitting diode (LED) are employed. Three di erent detection mechanisms of color zero forcing, minimum mean square error estimation and minimum mean square error equalization are then proposed. The system performance of the proposed scheme is evaluated both with computer simulations and tests with an Arduino board implementatio

Mortality in celiac disease.

Although the prevalence rates of celiac disease tend to be very similar in different Western populations, mortality rates for this disease vary widely. In this Review we focus on the papers that have addressed this issue so far. We evaluated mortality rates in different forms of celiac disease, such as symptomatic celiac disease, unrecognized celiac disease, dermatitis herpetiformis and refractory celiac disease. We also evaluated the role of possible protective factors, such as adherence to a gluten-free diet, early diagnosis and severity of clinical presentation. Finally, we noticed that the mortality rate for celiac disease seems to be higher in Southern than in Northern Europe and seems to correlate with 'national' gluten consumption. To explain these differences, we propose a hypothesis that links mortality rates to the amount of gluten consumed not only after but also before the diagnosis of celiac disease

ASK-based spatial multiplexing RGB scheme using symbol-dependent self-interference for detection

We propose a vsible light communication scheme utilizing red, green and blue lightemitting diodes (LEDs) and three color-Tuned photodiodes. Amplitude shift keying modulation is considered, and its effect on light emission in terms of flickering, dimming, and color rendering is discussed. The presence of interference at each photodiode generated by the other two colors is used to improve detection since interference is symbol-dependent. Moreover, the capability of the photodiodes to follow the LEDs speed is considered by analyzing the possibility of equalizing the received signal, and also self-interference mitigation is proposed. The system performance is evaluated both with computer simulations and tests on an Arduino board implementation

Green compressive sampling reconstruction in IoT networks

In this paper, we address the problem of green Compressed Sensing (CS) reconstruction within Internet of Things (IoT) networks, both in terms of computing architecture and reconstruction algorithms. The approach is novel since, unlike most of the literature dealing with energy efficient gathering of the CS measurements, we focus on the energy efficiency of the signal reconstruction stage given the CS measurements. As a first novel contribution, we present an analysis of the energy consumption within the IoT network under two computing architectures. In the first one, reconstruction takes place within the IoT network and the reconstructed data are encoded and transmitted out of the IoT network; in the second one, all the CS measurements are forwarded to off-network devices for reconstruction and storage, i.e., reconstruction is off-loaded. Our analysis shows that the two architectures significantly differ in terms of consumed energy, and it outlines a theoretically motivated criterion to select a green CS reconstruction computing architecture. Specifically, we present a suitable decision function to determine which architecture outperforms the other in terms of energy efficiency. The presented decision function depends on a few IoT network features, such as the network size, the sink connectivity, and other systems’ parameters. As a second novel contribution, we show how to overcome classical performance comparison of different CS reconstruction algorithms usually carried out w.r.t. the achieved accuracy. Specifically, we consider the consumed energy and analyze the energy vs. accuracy trade-off. The herein presented approach, jointly considering signal processing and IoT network issues, is a relevant contribution for designing green compressive sampling architectures in IoT networks

Smart Vehicles, Technologies and Main Applications in Vehicular Ad hoc Networks

Vehicular Ad hoc NETworks (VANETs) belong to a subcategory of traditional Mobile Ad hoc NETworks (MANETs). The main feature of VANETs is that mobile nodes are vehicles endowed with sophisticated “on-board” equipments, traveling on constrained paths (i.e., roads and lanes), and communicating each other for message exchange via Vehicle-to-Vehicle (V2V) communication protocols, as well as between vehicles and fixed road-side Access Points (i.e., wireless and cellular network infrastructure), in case of Vehicle-to-Infrastructure (V2I) communications. In this chapter we will introduce the state-of-the-art of recent technologies used in vehicular networks, specifically for smart vehicles, which require novel functionalities such as data communications, accurate positioning, control and decision monitoring

Prevention and early diagnosis of oral carcinoma in construction workers in Italy: a pilot project

Objectives: A research project on occupational exposure in relation to oral carcinoma was periodic compulsory check-ups, oral examinations were performed to detect pathologies and the prevalence of potentially neoplastic oral conditions and a selfassessment questionnaire was administered to all of the subjects. The questionnaire was structured to collect information regarding demographic and clinical characteristics, risk habits (tobacco and alcohol consumption) and oral health habits, and to allow an assessment of knowledge about oral cancer, related risk factors and early signs. Results: The study cohort included people with different ethnicities, and there were significant differences in clinical characteristics between Italians and other Europeans. The subjects showed a good knowledge about oral cancer and related risk factors (with correct answers provided to >50% of the questions) but insufficient knowledge about the early signs of oral carcinoma (correct-answer rates of 16–42%). There were high rates of habits that are potentially harmful to oral health, such as smoking (43.8%) and alcohol consumption (57%). The daily habit of brushing teeth was present in 92.6% of the subjects, but they had a low propensity to undergo regular dental examinations. The percentage of subjects with pathologies of the oral cavity was 18.6%. Conclusions: Despite the smallness of the sample, this pilot project could facilitate the acquisition of valid and cost-effective data for the primary prevention of oral cancer through information and educational campaigns on the related risk factors

Blood Oxygen Level-Dependent Activation of the Primary Visual Cortex Predicts Size Adaptation Illusion

In natural scenes, objects rarely occur in isolation but appear within a spatiotemporal context. Here, we show that the perceived size of a stimulus is significantly affected by the context of the scene: brief previous presentation of larger or smaller adapting stimuli at the same region of space changes the perceived size of a test stimulus, with larger adapting stimuli causing the test to appear smaller than veridical and vice versa. In ahumanfMRI study, we measured the blood oxygen level-dependent activation (BOLD) responses of the primary visual cortex (V1) to the contours of large-diameter stimuli and found that activation closely matched the perceptual rather than the retinal stimulus size: the activated area of V1 increased or decreased, depending on the size of the preceding stimulus. A model based on local inhibitory V1 mechanisms simulated the inward or outward shifts of the stimulus contours and hence the perceptual effects. Our findings suggest that area V1 is actively involved in reshaping our perception to match the short-term statistics of the visual scene

Avançando o ensino-aprendizagem da anatomia humana: implementação do Banco Anatômico-Radiológico Digital (BARD) da UNILA

VII Seminário de Extensão Universitária da UNILA (SEUNI); VIII Encontro de Iniciação Científica e IV Encontro de Iniciação em Desenvolvimento Tecnológico e Inovação (EICTI 2019) e Seminário de Atividades Formativas da UNILA (SAFOR)Este projeto de extensão tem por objetivo implementar uma base de peças anatômicas digital que possa ser utilizada por alunos e professores de cursos da área da saúde da Universidade Federal da Integração Latino-Americana, principalmente no ensino e pesquisa de anatomia e radiologia com alunos e com a comunidade externa, utilizando o software InVesalius. A implementação consistirá de três tipos de atividades: a coleta de imagens de instituições de saúde e pacientes, mediante autorização; a criação e manutenção de um ambiente virtual onde os arquivos recebidos serão armazenados, catalogados e indexados; e a criação de um guia rápido do usuário para docentes, discentes e pesquisadores. O ambiente utilizado será o Laboratório de Simulações da Unila (Campus JU), cujos equipamentos servirão tanto no processo de desenvolvimento do banco de imagens quanto no posterior estudo e aprendizado dos alunos. O momento atual do projeto situa-se na etapa de catalogação e indexação de arquivos pelos grupos de discentes participantes. Espera-se, ao final, disponibilizar uma ferramenta com potencial para o contínuo desenvolvimento da educação médica, em especial no que tange ao ensino da anatomia humanaAgradeço à UNILA pela bolsa de estudos concedida durante o desenvolvimento deste projeto de extensão

Hierarchical CoSaMP for compressively sampled sparse signals with nested structure

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Graphite/epoxy composite for building Bipolar Plates

Bipolar plates (BPs) are important components of Proton Exchange Membrane Fuel Cells (PEMFC). Graphite-epoxy composites, having a better corrosion resistance than metal-based BPs and better mechanical properties than graphite BPs, are a promising alternative. In this study, we tried to develop graphite-epoxy composites meeting the technical US DOE targets for 2020, with a proper choice of manufacturing conditions that ensure a good compromise between conductivity, flexural strength, and gas permeability. In particular, we studied the influence of the filler to binder ratio, changed the molding temperature and time, and investigated the effects of increasing pressure both on in-plane conductivity and on helium permeability. We found that both formulation and molding pressure are crucial in determining the permeability of the graphite-epoxy composites, whereas molding temperature and time seem to play a minor role