1,006 research outputs found

    An Intelligent Monitoring System of Vehicles on Highway Traffic

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    Vehicle speed monitoring and management of highways is the critical problem of the road in this modern age of growing technology and population. A poor management results in frequent traffic jam, traffic rules violation and fatal road accidents. Using traditional techniques of RADAR, LIDAR and LASAR to address this problem is time-consuming, expensive and tedious. This paper presents an efficient framework to produce a simple, cost efficient and intelligent system for vehicle speed monitoring. The proposed method uses an HD (High Definition) camera mounted on the road side either on a pole or on a traffic signal for recording video frames. On the basis of these frames, a vehicle can be tracked by using radius growing method, and its speed can be calculated by calculating vehicle mask and its displacement in consecutive frames. The method uses pattern recognition, digital image processing and mathematical techniques for vehicle detection, tracking and speed calculation. The validity of the proposed model is proved by testing it on different highways.Comment: 5 page

    Productivity Constraints of Cholistani Farmers

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    This paper examines the factors behind low crop yield in Cholistan. Both the quantitative and qualitative analysis show how the low levels of agricultural productivity in this area may be linked to material and climatic factors. The quantitative analysis is mainly focused on physical factors. The qualitative analysis, however, emphasises that relative inefficiency of agricultural activity in Cholistan reflects the influence of physical, economic, social and, most importantly, climatic factors. The quantitative findings provide valuable insight into various ‘sources of productivity’ in terms of acreage effect, capital input effect and irrigation water availability effect. The size of the positive and significant coefficients on these variables suggest the extent to which one or the other variable effect is prominent in improving the crop yield. The qualitative analysis examines multiple interrelated factors which can be blamed on for relative inefficiency of Cholistani farmers. The hot climate of the area turns out to be the most critical variable in this analysis. Many specific technological drought-mitigating measures are proposed. However, for consistent policy formulation, a thorough study and quantitative evaluation of the potential and practicality of these measures in Cholistan is suggested.

    Elastoplastic Quasi-Static and Impact Load Response of Steel Structure Sub-Assemblage with CFRP Strips

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    Presented in this paper is the outcome of an experimental investigation of the elastoplastic quasi-static and impact load response of a steel sub-assemblage constructed using a pair of hollow square section members with or without Carbon Fiber Reinforced Polymer (CFRP) strips. The sub-assemblage consists of a long structural member welded to a short member, thus representing a typical combination of a column and a beam on the face of a multi-story steel building frame. The column is subjected to a lateral quasi-static or impact load. Tests are conducted on four separate steel sub-assemblages. The first two tests are conducted with a gradually increasing flexural load applied at the midspan of the column up to the collapse condition without and with CFRP strips, respectively. Additional two tests are performed with a flexural impact load applied at midspan of the column also both without and with CFRP strips, respectively. The results of the study show that CFRP strips substantially increase the quasi-static collapse load of the sub-assemblage. However, when subjected to an impact load, the steel structure sub-assemblage with CFRP strips developed smaller strains in comparison with those without the CFRP strips. The post-impact time-dependent strains also became considerably smaller for the sub-assemblage with CFRP strips

    Spatio-Temporal Analysis of Areas Vulnerable to Urban Flooding: A Case Study of Lahore, Pakistan

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    Identification of existing hotspots is one of the principal steps for evolving strategy to mitigate urbanflooding, an emerging problem in mega cities of developing countries. Therefore, this paper aims to provide aframework of assessing the spatio-temporal hotspots of urban flooding incidents in Lahore district, Punjab, Pakistan.For this purpose, a database was created by gathering information of sore points by a governmental body, Water andSanitation Agency (WASA) to execute spatio-temporal analysis of urban flooding through hotspot analysis in spatialanalyst tool box in Arc GIS. Results show that urban flooding occurs in each town of Lahore excluding Wahga town.Among all affected towns of Lahore, Data Gunj Bakhsh town is noted as a highly affected area accounting 27 percentof urban flooding incidents during monsoon period from 2012-2017. Temporal study also shows an overall increasingtrend for incidents of urban flooding during 2012-2017. Moreover, detailed study shows that month of August isnoteworthy for urban flooding which is consistently increasing

    Granuloma whorls

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    What is the significance of bone marrow examination in presence of peripheral cytopenias? It is still regarded as a mandatory investigation to diagnose hematological disorders. In this case, bone marrow trephine was initially done as a diagnosis of exclusion for ITP, whereas it revealed multiple granulomas suggesting mycobacterium tuberculosis infection

    Growth Factors in Proliferative Diabetic Retinopathy

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    Many growth factors are implicated in the pathogenesis of proliferative diabetic retinopathy. Alteration of growth factors and their receptors in diabetes has been shown in both experimental and clinical studies. Sustained hyperglycemia resulting from long-standing diabetes leads to several biochemical abnormalities that consequently result in retinal hypoxia. Retinal oxygenation state regulates various growth factors that promote angiogenesis in order to meet the oxygen demands of the tissue. However, unregulated expression of these growth factors and induction of complex cascades leading to augmentation of other proangiogenic factors, which may not be regulated by tissue oxygenation, leads to uncontrolled retinal neovascularization and blindness in diabetic patients

    High Spectral Spatial Resolution Synthetic HyperSpectral Dataset form multi-source fusion

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    This research paper introduces a synthetic hyperspectral dataset that combines high spectral and spatial resolution imaging to achieve a comprehensive, accurate, and detailed representation of observed scenes or objects. Obtaining such desirable qualities is challenging when relying on a single camera. The proposed dataset addresses this limitation by leveraging three modalities: RGB, push-broom visible hyperspectral camera, and snapshot infrared hyperspectral camera, each offering distinct spatial and spectral resolutions. Different camera systems exhibit varying photometric properties, resulting in a trade-off between spatial and spectral resolution. RGB cameras typically offer high spatial resolution but limited spectral resolution, while hyperspectral cameras possess high spectral resolution at the expense of spatial resolution. Moreover, hyperspectral cameras themselves employ different capturing techniques and spectral ranges, further complicating the acquisition of comprehensive data. By integrating the photometric properties of these modalities, a single synthetic hyperspectral image can be generated, facilitating the exploration of broader spectral-spatial relationships for improved analysis, monitoring, and decision-making across various fields. This paper emphasizes the importance of multi-modal fusion in producing a high-quality synthetic hyperspectral dataset with consistent spectral intervals between bands.Comment: IJCNN workshop on Multimodal Synthetic Data for Deep Neural Networks (MSynD), 202

    In vitro antifungal effect of Thymus vulgaris essence on Candida albicans isolated from patients with oral candidiasis

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    زمینه و هدف: کاندیدا آلبیکنس شایع ترین عامل اتیولوژیک بیماری های ناشی از مخمرهای جنس کاندیدا است. با توجه به این که مقاومت قارچ ها نسبت به تعدادی از داروهای ضد قارچی افزایش یافته و بسیاری از این داروها سمی و گران هستند، بررسی فرآورده های طبیعی گیاهی موثر بر این قارچ ها ضروری است. لذا هدف این تحقیق بررسی اثر اسانس آویشن بر ممانعت از رشد کاندیدا آلبیکنس در شرایط آزمایشگاهی بود. روش بررسی: این مطالعه تجربی بر روی 50 بیمار مبتلا به کاندیدیازیس دهانی، صورت گرفت. نمونه های حاصل از سواپ در محیط سابورودکستروز آگار همراه با سیکلوهگزیمید و کلرآمفنیکل کشت و در نهایت با انجام آزمایشات تکمیلی، تعداد 32 ایزوله به عنوان کاندیدا آلبیکنس شناسایی و در محیط کشت رشد داده شدند. سپس اسانس آویشن در غلظت های مختلف به این محیط اضافه و حداقل غلظت مهار کننده اسانس برای رقت های مختلف سوسپانسیونی حاوی کاندیدا آلبیکنس محاسبه گردید. یافته ها: حداقل غلظت مهار کننده اسانس آویشن برای رقت های 10، 1-10 و 2-10 برابر با 390/0 میکرولیتر در هر میلی لیتر و برای رقت 3-10 و 4-10 به ترتیب برابر با 195/0 و 0975/0 میکرولیتر در هر میلی لیتر از محیط کشت تعیین شد. نتیجه گیری: اسانس آویشن دارای اثر ضد قارچی بسیار خوب علیه کاندیدا آلبیکنس می باشد و در مقادیر نسبتاً کم می تواند از رشد کاندیدا آلبیکنس در محیط کشت جلوگیری نماید

    Comparative Expression Studies of Fiber Related Genes in Cotton Spp.

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    Cotton fibers are the seed trichomes that are developed around the seed and are used to make clothes and yarn for the textile industry. Expression profiling of cotton fiber genes is very important to estimate the differential gene expression level at different fiber developmental stages. Expression analysis of fiber developing genes are very important to enhance the fiber length of cotton. The expression profiling of three gene families in five stages (0, 5, 10, 15 and 20 DPA) of cotton fiber tissues was carried out through real-time PCR. Expression analysis revealed that transcripts of GA-20 Oxidase, XTH, and PEPc were elevated from 5 to 20 days post-anthesis (DPA) fibers. Total RNA was extracted from various stages of cotton fiber development and was reverse transcribed to cDNA for PCR amplification. For data normalization, 18s rRNA was used as an internal control. The objective of this study was to explore the expression level of fiber developing genes at specific stages of fiber development. The results showed that most of the genes were expressed during the elongation phase in between 5 DPA to 15 DPA. Results obtained from this study may be helpful for the further identification of fiber genes and the improvement of fiber characteristics in cotton. PEPc and XTH genes that are expressed with a high rate during the fiber development may be used in breeding programmes for the improvement of fiber quality and quantity
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