Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti

Machine learning techniques are presented for automatic recognition of the historical letters (XI-XVIII centuries) carved on the stoned walls of St.Sophia cathedral in Kyiv (Ukraine). A new image dataset of these carved Glagolitic and Cyrillic letters (CGCL) was assembled and pre-processed for recognition and prediction by machine learning methods. The dataset consists of more than 4000 images for 34 types of letters. The explanatory data analysis of CGCL and notMNIST datasets shown that the carved letters can hardly be differentiated by dimensionality reduction methods, for example, by t-distributed stochastic neighbor embedding (tSNE) due to the worse letter representation by stone carving in comparison to hand writing. The multinomial logistic regression (MLR) and a 2D convolutional neural network (CNN) models were applied. The MLR model demonstrated the area under curve (AUC) values for receiver operating characteristic (ROC) are not lower than 0.92 and 0.60 for notMNIST and CGCL, respectively. The CNN model gave AUC values close to 0.99 for both notMNIST and CGCL (despite the much smaller size and quality of CGCL in comparison to notMNIST) under condition of the high lossy data augmentation. CGCL dataset was published to be available for the data science community as an open source resource.Comment: 11 pages, 9 figures, accepted for 25th International Conference on Neural Information Processing (ICONIP 2018), 14-16 December, 2018 (Siem Reap, Cambodia

Emissions and source allocation of carbonaceous air pollutants from wood stoves in developed countries: A review

In recent years, residential wood combustion (RWC) has become a major source of ambient particulate matter (PM) in many developed countries, and in some of these countries even the largest source of primary particle emissions. While other sources of PM have been regulated intensively during the past decades, RWC has been subject to only minor regulation despite of its impact on climate and health. This review covers recent research publications on RWC contributions to ambient PM in different regions of Europe, North America and Australasia, and on key species associated with RWC. Furthermore, factors governing emissions from wood stoves (as the typical appliance used in residential heating) are evaluated. State-of-the-art methods for estimating RWC as a source of ambient PM are discussed. We conclude by highlighting important areas for future research and policies

The effect of ventilation on air particulate matter in school classrooms

Health problems and respiratory diseases are associated with indoor air particulate matter (PM) mass. This is specially a concern in schools as children spend most of their time indoors. Understanding factors that affect PM mass such as occupant activities, ventilation and the infiltrating outdoor environment are important to safeguard occupant health. We investigated the air quality inside and outside two low decile primary school classrooms (children ages 7–9) over a three-week period during the southern hemisphere winter season in Palmerston North, New Zealand. Both classrooms were heated with wall mounted inverter heat pumps and in addition one classroom roof was fitted with a solar air heated ventilation unit (treatment). Particulate matter was continuously sampled and monitored to identify particles less than 10 µm in aerodynamic diameter (PM10) both outside and inside both classrooms to compare their indoor air quality. Significantly higher PM10 concentrations occurred within both classrooms during school hours (0845–1500), but the ventilated treatment classroom had PM10 concentrations on average 66% lower than those measured in the unventilated control classroom. Elemental composition and source apportionment of hourly samples showed that outdoor sources of PM10 infiltrated indoors, with similar contributions in both classrooms to those measured outdoors. However, the increased PM10 in the classrooms was predominantly from crustal sources, thought to be soil tracked in from outside on children's footwear and re-suspended during activities within the classrooms. Our results indicate that ventilation plays an important role in the quality of indoor air of classrooms and will contribute to the wellbeing of the students. In addition, there is a need to improve dust exposure mitigation strategies (carpet cleaning regime, dust reducing carpet) in classrooms fitted with carpets

High-resolution sampling and analysis of ambient particulate matter in the Pearl River Delta region of southern China: source apportionment and health risk implications

Hazardous air pollutants, such as trace elements in particulate matter (PM), are known or highly suspected to cause detrimental effects on human health. To understand the sources and associated risks of PM to human health, hourly time-integrated major trace elements in size-segregated coarse (PM2.5–10) and fine (PM2.5) particulate matter were collected at the industrial city of Foshan in the Pearl River Delta region, China. Receptor modeling of the data set by positive matrix factorization (PMF) was used to identify six sources contributing to PM2.5 and PM10 concentrations at the site. Dominant sources included industrial coal combustion, secondary inorganic aerosol, motor vehicles and construction dust along with two intermittent sources (biomass combustion and marine aerosol). The biomass combustion source was found to be a significant contributor to peak PM2.5 episodes along with motor vehicles and industrial coal combustion. Conditional probability function (CPF) analysis was applied to estimate the source locations using the PMF-resolved source contribution coupled with the surface wind direction data. Health exposure risk of hazardous trace elements (Pb, As, Si, Cr, Mn and Ni) and source-specific values were estimated. The total hazard quotient (HQ) of PM2.5 was 2.09, higher than the acceptable limit (HQ = 1). The total carcinogenic risk (CR) was 3.37 × 10−3 for PM2.5, which was 3 times higher than the least stringent limit (1.0 × 10−4). Among the selected trace elements, As and Pb posed the highest non-carcinogenic and carcinogenic risks to human health, respectively. In addition, our results show that the industrial coal combustion source is the dominant non-carcinogenic and carcinogenic risk contributor, highlighting the need for stringent control of this source. This study provides new insight for policy makers to prioritize sources in air quality management and health risk reduction

Bilan de la surveillance épidémiologique des travailleurs du cycle électronucléaire en France

À ce jour, les normes internationales de radioprotection sont essentiellement basées sur les connaissances des effets sanitaires des rayonnements ionisants issues des études de cohortes de survivants des bombardements atomiques d’Hiroshima et de Nagasaki, qui ont subi des irradiations par voie externe à forts débits de doses. Or, les expositions aux rayonnements ionisants survenant en population générale et chez certains travailleurs correspondent généralement à de faibles doses, cumulées de manière prolongée dans le temps. Ces expositions peuvent avoir lieu par irradiation externe mais aussi par contamination interne. Les études épidémiologiques chez les travailleurs du nucléaire permettent notamment de mieux caractériser les effets de ces conditions d’expositions. Elles permettent ainsi d’évaluer l’adéquation des normes de radioprotection pour protéger les travailleurs, mais également la population générale adulte, contre les risques de cancer. Par ailleurs, elles permettent d’aborder de nouveaux questionnements de recherche en radioprotection, comme les potentiels effets non cancéreux. Enfin, ces études fournissent un bilan de santé général des populations de travailleurs du nucléaire. Cet article propose une vue d’ensemble des recherches épidémiologiques menées par l’Institut de Radioprotection et de Sûreté Nucléaire (IRSN) chez les travailleurs du cycle électronucléaire en France. Il dresse également quelques perspectives de développements possibles de ces recherches