Crash Detecting System Using Deep Learning

Accidents pose a significant risk to both individual and property safety, requiring effective detection and response systems. This work introduces an accident detection system using a convolutional neural network (CNN), which provides an impressive accuracy of 86.40%. Trained on diverse data sets of images and videos from various online sources, the model exhibits complex accident detection and classification and is known for its prowess in image classification and visualization. CNN ensures better accident detection in various scenarios and road conditions. This example shows its adaptability to a real-world accident scenario and enhances its effectiveness in detecting early events. A key contributor to this project was a real-time alert system that quickly notifies authorities when an accident is detected. The CNN algorithm captures high-resolution images, which are then sent to designated email addresses, facilitating coordinated responses and providing visual evidence for post-accident investigations. Implementing accident detection systems shows a significant improvement in road safety, enabling faster and more accurate accident detection. Using email alerts and their integration into hybrid crash data systems helps improve both response time and road safety efforts and can save lives by reducing serious crashes. Future improvements will focus on improving accuracy, speed, and efficiency to further reduce the frequency and severity of accidents, ultimately saving lives and reducing their social impact

Adaptive Energy-aware Scheduling of Dynamic Event Analytics across Edge and Cloud Resources

The growing deployment of sensors as part of Internet of Things (IoT) is generating thousands of event streams. Complex Event Processing (CEP) queries offer a useful paradigm for rapid decision-making over such data sources. While often centralized in the Cloud, the deployment of capable edge devices on the field motivates the need for cooperative event analytics that span Edge and Cloud computing. Here, we identify a novel problem of query placement on edge and Cloud resources for dynamically arriving and departing analytic dataflows. We define this as an optimization problem to minimize the total makespan for all event analytics, while meeting energy and compute constraints of the resources. We propose 4 adaptive heuristics and 3 rebalancing strategies for such dynamic dataflows, and validate them using detailed simulations for 100 - 1000 edge devices and VMs. The results show that our heuristics offer O(seconds) planning time, give a valid and high quality solution in all cases, and reduce the number of query migrations. Furthermore, rebalance strategies when applied in these heuristics have significantly reduced the makespan by around 20 - 25%.Comment: 11 pages, 7 figure

Estimation of wheat crop evapotranspiration using NDVI vegetation index

The evapotranspiration of the wheat crop grown in Tarafeni South Main Canal (TSMC) irrigation command area of West Bengal, India was estimated based on Normalized Difference Vegetation Index (NDVI) from LANDSAT images. The crop evapotranspiration (ETc) of wheat crop was estimated using the crop coefficient (Kc) maps and the reference evapotranspiration (ETo) in the TSMC irrigation command area. The ETo was estimated from the well known temperature based ETo estimation method, i.e. FAO-24 modified Blaney-Criddle method using measured maximum and minimum air temperatures data during January 2011 in the command area. The Kc maps were mapped in ARC GIS software using procured LANDSAT images for the study period. The area under wheat crop was clipped from land use/land cover map generated from LANDSAT image of January, 2011 for winter season. Further, the crop evapotranspiration map was obtained by multiplying Kc map with the estimated ETo value i.e., 5.76 mm/day for a particular day. The maximum crop evapotranspiration computed for Rabi crop was 5.57 mm/ day, whereas minimum was 1.59 mm/day for the TSMC command area

Ecological Studies of Cestode Parasites of Some Marine Fishes along the Raigad coast (M.S) India

     This communication deals with ecological studies of cestode parasites of some marine fishes along the Raigad coast (M.S) India, over a period of one year (June to December 2006 and January to May 2007). The study highlights at establishing the magnitude of parasitization in different fishes as well as quantifying the host specificity of the parasites and their fish hosts. Fish samples were collected from main landing beaches of Raigad coast: Alibag, Borli, Murud, Dighi and Shrivardhan. The fish sample (Host) examined for parasites included: Rastrelliger kanagurata, Dasyatis bleekeri, Dasyatis walga, Aetomylaeus nichoffii, Chiloscyllium palgiosum, Mobula mobular, Carcharihinus dussumeri and Rhynchobatus djeddensis. This study has revealed that out of 8 fishes examined only 5 species were infected with parasites. Dasyatis bleekari infected with Acanthobothrium and Rhinebothrium; Dasyatis walga infected with Tetragonacephalum and Nybelina: Aetomylaeus nichoffii infected with Hexacanalis and Tylocephalum; Chiloscyllium plagiosum infected with Phyllobothrium: Rhynchobatus djeddensis infected with Tetragonacephalum, out of the 5 species Dasyatis bleekari was the most heavily infected increase with age (size) especially in Aetomylaeus nichoffii where very young fish were rarely infected where as     adult  were heavily infected

Rheological Behavior of Aqueous Suspensions of Laponite: New Insights into the Ageing Phenomena

In this paper, ageing behavior of suspensions of laponite with varying salt concentration is investigated using rheological tools. It is observed that the ageing is accompanied by an increase in the complex viscosity. The succeeding creep experiments performed at various ages showed damped oscillations in the strain. The characteristic time-scale of the damped oscillations, retardation time, showed a prominent decrease with the age of the system. However, this dependence weakens with an increase in the salt concentration, which is known to change microstructure of the system from glass-like to gel-like. We postulate that a decrease in the retardation time can be represented as a decrease in the viscosity (friction) of the dissipative environment surrounding the arrested entities that opposes elastic deformation of the system. We believe that ageing in colloidal glass leads to a greater ordering that enhances relative spacing between the constituents thereby reducing the frictional resistance. However, since a gel state is inherently different in structure (fractal network) than that of a glass (disordered), ageing in the same does not induce ordering. Consequently, we observe inverse dependence of retardation time on age becoming weaker with an increase in the salt concentration. We analyze these results from a perspective of ageing dynamics of both glass state and gel state of laponite suspensions.Comment: 27 Pages, 12 figure

Block-ownership structure, bank nominee director and crash-risk

We study the effect of outside block-ownership on the future firm-specific crash-risk of Indian firms. Major and dedicated block-owners play a significant role in aggravating the firm’s susceptibility towards crash-risk. Within a novel regulatory setup in India, where borrowing firms are entitled to a bank nominated board-member, we find an ancillary influence of bank nominee’s presence in dissipating block-owners influence on firm-level crash-risk. These results support the monitoring hypothesis in alleviating future firm-level crash-risk. Our results are robust to alternate model specifications, different crash-risk and block-ownership measures, clustering, and an array of control variables

Aging in a Colloidal Glass in Creep Flow: Time-Stress Superposition

In this work, we study ageing behavior of aqueous laponite suspension, a model soft glassy material, in creep. We observe that viscoelastic behavior is time dependent and is strongly influenced by the deformation field; the effect is known to arise due to ageing and rejuvenation. We show that irrespective of strength of deformation field (shear stress) and age, when imposed time-scale is normalized with dominating relaxation mode of the system, universal ageing behavior is obtained demonstrating time-stress superposition; the phenomena that may be generic in variety of soft materials.Comment: 10 pages, 4 figure

HEREDITORY GINGIVAL FIBROMATOSIS IN A 7-YEAR-OLD GIRL: A CASE REPORT

ABSTRACTThis paper presents a case of hereditary gingival fibromatosis, a rarely reported disorder and addresses the complex nature of oral diagnosis,treatment and long-term case management in the hereditary form of recurrent gingival fibromatosis. Case management is discussed in relation toa 7-year-old girl who presented with recurrent, progressive gingival enlargement requiring consecutive periodontal treatment. The initial course oftreatment included 4-quadrant gingivectomy with excisional bevel incisions, followed by microscopic examination of the gingivectomy specimenswhich supported the clinical diagnosis. 1 year later, recurrence of the condition was observed in all quadrants. It is recommended that patients withthis condition be monitored closely after gingivectomy so that the treatment requirements of localized areas can be addressed as needed.Keywords: Heredity, Genome, Phenotype, Chromosome, Autosomal inheritance