14 research outputs found

    Object Tracking Using Adaptive Frame Differecing and Dynmaic Template Matching Method

    Get PDF
    In this project I have used the concept of frame differencing and background subtraction algorithm to propose a modified algorithm which can be used effectively and accurately with comparison to both frame differencing method and background subtraction model used individually for detecting moving objects in a sequence of frames. In this project we have used the method of frame differencing to propose a new adaptive frame differencing method which shall take account of the velocity of the moving object in order to find the number of frames to be skipped each stage of detection to calculate inter-frame difference in order to get the region of moving object. The above procedure is combined with background subtraction model with a new idea of changing the background dynamically to have a better image of the moving object. The area obtained from adaptive frame differencing is added with the area obtained from adaptive background subtraction model to have a clear view of the pixels associated with the moving object. After getting the detected object the centroid of it is passed to the tracking module in order to track the object in upcoming frames by using the concept of dynamic template matching algorithm which uses a correlation function in order to track the detected object in the region of interest in the upcoming frames. When the tracking fails the algorithm goes back to detection module and the process repeats. Thus we proposed a effective tracking algorithm which can be use even if the object of interest is far away from the camera independent of the motion of the object

    Optimizing Electric Vehicle Efficiency with Real-Time Telemetry using Machine Learning

    Full text link
    In the contemporary world with degrading natural resources, the urgency of energy efficiency has become imperative due to the conservation and environmental safeguarding. Therefore, it's crucial to look for advanced technology to minimize energy consumption. This research focuses on the optimization of battery-electric city style vehicles through the use of a real-time in-car telemetry system that communicates between components through the robust Controller Area Network (CAN) protocol. By harnessing real-time data from various sensors embedded within vehicles, our driving assistance system provides the driver with visual and haptic actionable feedback that guides the driver on using the optimum driving style to minimize power consumed by the vehicle. To develop the pace feedback mechanism for the driver, real-time data is collected through a Shell Eco Marathon Urban Concept vehicle platform and after pre-processing, it is analyzed using the novel machine learning algorithm TEMSL, that outperforms the existing baseline approaches across various performance metrics. This innovative method after numerous experimentation has proven effective in enhancing energy efficiency, guiding the driver along the track, and reducing human errors. The driving-assistance system offers a range of utilities, from cost savings and extended vehicle lifespan to significant contributions to environmental conservation and sustainable driving practices

    Newer insights of H1N1: Swine Flu Virus

    Get PDF
    Swine flu, caused by the H1N1 influenza virus, is a subtype of influenza A that affects both the upper and lower respiratory tracts. It is primarily found in pigs and can be transmitted to humans through genetic variations in the virus. The 1918 Spanish flu pandemic resulted in the deaths of 50 to 100 million individuals. In 2009, the pandemic affected 178 countries, resulting in an estimated 43 to 89 million cases and 1799 deaths. The pathophysiology of H1N1 involves inflammation of the respiratory tract, with an incubation period of 1 to 4 days and a contagious period lasting 5 to 7 days. The signs and symptoms of swine flu include cough, sore throat, fever, myalgia, congestion, headache, rhinorrhoea, dizziness, sneezing, loss of appetite, fatigue, abdominal pain, shortness of breath, and in rare cases, vomiting and diarrhoea. The most common cause of death is respiratory failure, and neurological symptoms can occur due to high fever. To diagnose swine flu, various tests such as haematological, biochemical, and microbiological tests are conducted, including the collection of nasal or oral swabs for reverse transcriptase polymerase chain reaction (RT-PCR). Prevention and control measures include managing swine flu in pigs through herd management, hygiene practices, and vaccination. Treatment options vary based on the severity of the case. Mild to moderate cases can be managed with rest, antipyretics, NSAIDs, antihistamines, and oral rehydration therapy. Severe cases may require intravenous hydration, antibiotics for bacterial infections, antiviral therapy, and respiratory support

    Role of imaging in the management of thyroglossal duct cyst carcinomas (TGC-TIRADS): a single centre retrospective study over 16 years

    Get PDF
    IntroductionThyroglossal duct cyst (TGDC) is the most frequently encountered developmental anomaly in thyroid genesis with a reported incidence of 7% in the adult population. The cyst is known to develop anywhere along the pathway of thyroid descent but is more frequently seen in the infrahyoid neck in the midline. The incidence of malignancy in a TGDC is approximately 1%; a majority of these are papillary carcinomas. This study was conducted at a single tertiary care centre which spanned over a decade which adds practice changing evidence-based knowledge to existing literature on this rare entity. A comprehensive study which conclusively establishes the imaging features predictive of malignancy in TGDC carcinomas (TGDCa), the protocol for optimal management, clinical outcome and long-term survival of these patients is not available. Although TGDC carcinoma is thought to have an excellent prognosis, there is not enough data available on the long-term survival of these patients. The aim of this study was to identify whether neck ultrasound (US) can serve as an accurate imaging tool for the preoperative diagnosis of TGDC carcinomas.MethodsWe accessed the electronic medical records of 86 patients with TGDC between January 2005 to December 2021. Of these, 22 patients were detected with TGDC papillary carcinoma on histopathologic examination. Relevant imaging, treatment and follow up information for all cases of TGDC carcinoma were retrospectively reviewed. We compared US characteristics predictive of malignancy across outcomes groups; malignant vs benign using the Chi-square test. Based on the results, a TGC-TIRADS classification was proposed with calculation of the percentage likelihood of malignancy for each category.ResultsCompared to benign TGDCs, malignant TGDCs were more likely to present with following US characteristics: irregular or lobulated margins (90.40 vs. 38.10%), solid-cystic composition (61.90 vs. 17.07%), internal vascularity (47.62 vs. 4.88 %), internal calcification (76.19 vs. 7.32 %) (each p value < 0.005). Calcifications and internal vascularity were the most specific while irregular/lobulated margins were the most sensitive feature for malignancy. AUC under the ROC curve was 0.88. Allpatients were operated and were disease free at the end of 5 years or till the recent follow up.DiscussionUS is the imaging modality of choice for pre-operative diagnosis of TGDC carcinoma. Thepre-operative diagnosis and risk stratification of thyroglossal lesions will be aided by the application of the proposed TGC-TIRADS classification, for which the percentage likelihood of malignancy correlated well with the results in our study. Sistrunk procedure is adequate for isolated TGDC carcinoma; suspicious neck nodes on imaging also necessitates selective nodal dissection. Papillary carcinomas have an excellent prognosis with low incidence of disease recurrence

    The Impact of COVID-19 on Stock Returns of the Indian Healthcare and Pharmaceutical Sector

    Get PDF
    Increasing COVID-19 cases has not only impacted health and day-to-day lives of people, but it has also had a material effect on India’s economic growth. Stock returns of various sectors are evidence of a country’s stagnated growth but the healthcare and pharmaceutical sector might be affected in a different manner. The purpose of this paper is to find out how has this pandemic has impacted the healthcare and pharma stocks. Daily closing prices of sector specific indexes for 233 days ranging from 15 May 2019 to 24 April 2020 have been taken to compare different sectors with our test sector, on the basis of different criteria. This study has applied the widely used event study methodology on our test sector; calculated abnormal returns, cumulative abnormal returns and also tested their significance. Event study approach suggests that there have been significant abnormal returns and cumulative abnormal returns in our test sector (healthcare and pharmaceutical sector) over the event window, though while comparing it with other sectors through another econometric model, the returns are not statistically significant and do not explicitly indicate the same

    Incobotulinum Toxin-A Improves Post-Surgical and Post-Radiation Pain in Cancer Patients

    No full text
    Cancer patients who undergo surgery or radiation can develop persistent focal pain at the site of radiation or surgery. Twelve patients who had surgery or radiation for local cancer and failed at least two analgesic medications for pain control were prospectively enrolled in a research protocol. Patients were injected up to 100 units of incobotulinum toxin A (IncoA) intramuscularly or subcutaneously depending on the type and location of pain (muscle cramp or neuropathic pain). Two patients passed away, one dropped out due to a skin reaction and another patient could not return for the follow up due to his poor general condition. All remaining 8 subjects (Age 31–70, 4 female) demonstrated significant improvement of Visual Analog Scale (VAS) (3 to 9 degrees, average 3.9 degrees) and reported significant satisfaction in Patients’ Global Impression of Change scale (PGIC) (7 out of 8 reported the pain as much improved). Three of the 8 patients reported significant improvement of quality of life
    corecore