27 research outputs found

    Real-time fire detection based on CNN and inception V3 algorithms

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    Fire is an abnormal event that can cause significant damage to lives and property within a very short time. The main cause of fire disaster includes a human error or system failure which results in severe loss of human life and other damages. Traditional fire alarms are based on sensors that require proximity for activation. They need human involvement to confirm a fire. To overcome these limitations, vision-based real-time fire detection has been enabled in surveillance devices. Once fire appears in any camera, the approach can detect it and send a signal to respective officers of the fire region. This work focused on an intelligent approach using the Deep Learning model for preventing fire hazards from going out of control in high-fire-risk areas. Deep Learning models are effective for fire detection. Convolutional Neural Networks outperform other algorithms in terms of accuracy. In this work Convolution, Neural Network model Inception V3 is used to detect fire indoors and outdoors and protect the surroundings and living beings

    Adaptive video streaming over HTTP through 4G wireless networks based on buffer analysis

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    Abstract One of the main challenges in video transmission is understanding and adapting to the varying network bandwidth. The traditional approach of bandwidth estimation is not accurate as there are many factors like congestion that can delay the arrival rate of the ping packet which may lead to a misconception that the bandwidth was low. Thus, the better approach to this problem will be to estimate the link conditions based on the buffer fullness. In this paper, a new system to support streaming of live and stored video through wireless network is proposed which is based on adaptive playback buffer management on the top of HTTP at the client. The buffer fullness is treated as a direct state variable that reflects the fluctuation of the network bandwidth. The buffer fullness estimation predicts the buffer status at a point in the future based on observations of the buffer over a stipulated period of time. The proposed algorithm uses non-linear exponential non-parametric regression for computing the decision parameter. A feedback message is then sent to the server in order to change the quality of the video stream for smoother video play at the client side. The synchronized update and feedback between the server and clients is achieved using HTTP protocol. During the experimentation with live video streaming, the proposed algorithm shows an improvement of 24.48% in average peak signal-to-noise ratio and 6.63% in average structural similarity index against the buffer underflow probability algorithm

    A review on silent sinus syndrome

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    Silent sinus syndrome (SSS) is a rare condition that causes facial asymmetry, unilateral painless enophthalmos, orbital floor collapse, and diplopia, which represent the chronic maxillary sinus atelectasis with chronic negative pressure within the sinus. SSS is also known as imploding antrum. Some believe that congenital development of the maxillary sinus may also be responsible for the development of SSS. Its characteristic imaging features are maxillary sinus outlet obstruction, sinus opacification, and volume loss caused by inward retraction of the sinus wall. Ostium obstruction appears to play a critical role in the development of SSS. Treatment involves reconstructive procedure of orbital floor and functional endoscopic sinus surgery

    Species diversity and some aspects of reproductive biology and life history of groupers (Pisces: Serranidae: Epinephelinae) off the central eastern coast of India

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    <div><p></p><p>Due to increased fishing activity, catches of larger species and individuals decrease. Behaviour, reproductive biology and life history data are fundamental to determine vulnerability to fishing. Groupers (Serranidae: Epinephelinae) are valuable targets for fisheries in many parts of the world but are highly susceptible to heavy and unregulated fishing. For many regions, biological information on groupers necessary for management purposes is still scarce. The North Andhra region, central east coast of India, has been the centre for a variety of fishing activities for a long time. Many species of groupers are landed by a variety of gears at fishing harbours and nearby fishing villages of this region. The present paper incorporates data on species diversity and length groups represented in the catches, results of length-weight relationship studies, length at first maturity, and fecundity of grouper species belonging to two genera, <i>Cephalopholis</i> and <i>Epinephelus</i>, that are represented in the commercial catches of this region. The consideration of length at first maturity and fecundity estimations is a very important prerequisite to prevent exploitation and detrimental effects for these fisheries resources.</p></div

    A controlled-release oral opioid supports S. aureus survival in injection drug preparation equipment and may increase bacteremia and endocarditis risk.

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    BackgroundInjection drug use-associated endocarditis (IDUaIE) incidence in Ontario has recently been associated with hydromorphone prescribing rates. Staphylococcus aureus causes the majority of cases of IDUaIE in Ontario and across North America. Hydromorphone controlled-release (Hydromorphone-CR) requires a complex technique for injection and therefore provides multiple opportunities for contamination. Hydromorphone-CR contains several excipients, which could enhance staphylococcal survival and increase risk of contaminating the injectate.MethodsUsed injection drug preparation equipment (cookers/filters) was collected from persons who inject drugs (PWID), rinsed with water, and plated on Mannitol salt agar. Bacterial isolates from bacteremic PWID were used to assess the survival of S. aureus and Streptococcus pyogenes on cookers/filters with Hydromorphone-CR, hydromorphone immediate-release (Hydromorphone-IR) or oxycodone controlled-release (Oxycodone-CR). The solutions spiked with S. aureus were heated and the remaining viable bacteria enumerated.ResultsS. aureus was detected in 12/87 (14%, 95%CI 8-23%) cookers/filters samples used for injection of Hydromorphone-CR. Hydromorphone-CR was the only opioid associated with greater survival of methicillin-sensitive S. aureus (MSSA) and methicillin-resistant S. aureus (MRSA) on cookers/filters when compared to sterile water vehicle control. There was a ~2 log reduction in the number of S. aureus that survived when cookers/filters were heated.Conclusion14% of all cookers/filters used in the preparation of Hydromorphone-CR were contaminated with S. aureus. Hydromorphone-CR prolongs the survival of MRSA and MSSA in cookers/filters. Heating cookers/filters may be a harm-reduction strategy
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