To develop the usefulness of plants as bioindicators requires an appropriate selection of plant species which entail an utmost importance for a particular situation. In the present study a periodic evaluation of air pollution tolerance index [APTI] of selected tree species such as Polyalthia longifolia, (Sonner) Thw., Alstonia scholaris, R. Br., Mangifera indica, L., and shrubs Clerodendron inf...

The air pollution tolerance index (APTI) is one of the modern tools for assessing impacts pollutants on plant physiology. value APTI different species. Plants with higher values are tolerant and act as a sink due to their bioaccumulation ability pollutants. Hence, they can be planted establish green belts in areas severe pollution, especially industrial zones. present investigation was carried ...

Due to industrialization, urbanization and increasing number of vehicles air pollution has turn out be serious problem today. Now a days particulate matter shows the undesirable effects on plants, animals human beings also. Tree plantation programme is best ways control pollution. Most plants filter by their aerial elements. Vegetation naturally cleanses atmosphere absorbing gases some matters ...

Development of a green belt with suitable plant species around the source of emission can mitigate the atmospheric contamination. Selection of such plant species are required to combat air pollution based on their tolerance level. Present study was undertaken to evaluate the tolerance level of higher plants in East of Esfahan city, Iran, during 2011 in terms of assessing Air Pollution Tolerance...

development of a green belt with suitable plant species around the source of emission can mitigate the atmospheric contamination. selection of such plant species are required to combat air pollution based on their tolerance level. present study was undertaken to evaluate the tolerance level of higher plants in east of esfahan city, iran, during 2011 in terms of assessing air pollution tolerance...

Although optical character recognition of printed texts has been a focus of research for the last few decades, Arabic printed text, being cursive, still poses a challenge. The challenge is twofold: segmenting words into letters and identifying individual letters. We propose a method that combines the two tasks, using multiple grids of SIFT descriptors as features. To construct a classifier, we ...

RÉSUMÉ. Nous proposons dans ce travail une approche de reconnaissance de textes arabes imprimés hors-ligne à vocabulaire ouvert et à très basse résolution (72 dpi). La méthode est basée sur les Modèles de Markov Cachés en utilisant la boite à outils HTK. La nouveauté de QRWUH WUDYDLO HVW GDQV O¶DQDO\VH GH FH W\SH GH V\VWqPHV VXU Wrois fontes de calligraphie complexe et présentant de fortes liga...

The discrimination between languages is one of the first steps in the problem of automatic documents text recognition. In many documents, such as bank checks and application forms, printed and handwritten texts are mixed. In this paper, an automatic identification system of Arabic and French words in both handwritten and printed script based on Gaussian Mixture Models (GMMs) was presented. A fi...

Although optical character recognition of printed texts has been a focus of research for the last few decades, Arabic printed text, being cursive, still poses a challenge. The challenge is twofold: segmenting words into letters and identifying individual letters. We describe a method that combines the two tasks, using multiple grids of SIFT descriptors as features. To construct a classifier, we...

High concentration of particulate matter (PM) threatens public health and the environment. Increasing traffic in city is one main factors for increased PM air. Urban green spaces play an important role reducing PM. In this study, leaf surface in-wax (sPM wPM) accumulation were compared 11 plant species widely used landscaping South Korea. addition, biochemical characteristics leaves (ascorbic a...