The paper focuses on the technological needs in Indian aircraft maintenance training sector towards reducing the human errors and to enhance the maintenance reliability. An overview of Indian MRO s’ ...skill requirements and the immediate necessity to improve the standards in maintenance human factors and technology based training is elaborated. The existing level of Indian AMT training in comparison to international standards are discussed to spot the areas with scope of improvement and the weak link in existing process. Need of maintenance training with intense knowledge and practical exposure can downturn maintenance errors and aid in cutting cost of the maintenance expenditure by increasing reliability were discussed. Impact of Computerised Maintenance Management System (CMMS), in augmenting current maintenance performance and its importance in terms of efficient operation and Labour maintenance were reviewed. Technology identification to address the need for improvement in traditional training, using the applications of Virtual Reality (VR) and Augmented Reality (AR) in maintenance training would equip the Aircraft Maintenance Trainees (AMT’s) with complete knowledge and practice were analysed. This view point can be a thought provoking research to evaluate a right road map for improving the current Indian aircraft maintenance training sector to global standards resulting in optimising the state of India’s MRO self-reliance ability.
Cloud computing offers service delivery models that facilitate users during development, execution and deployment of workflows. In this Big-data era, Organizations require value out of big data. For ...this they need not have to deploy complex infrastructure, but can use services that provide value. As such there is a need for a flexible and scalable service called Predictive Analytics as a Service (PAaaS). Predictive analytics can forecast trends, determines statistical probabilities and to act upon fraud and security threats for big data applications such as business trading, fraud detection, crime investigation, banking, insurance, enterprise security, government, healthcare, e-commerce, and telecommunications Prediction algorithms can be supervised or unsupervised with different configurations, and the optimal one may be different for each kind of data. This paper summarizes existing service frameworks for big data and proposes PAaaS framework that can be used by business to deal with prediction in big data. This proposed framework is based upon ensemble model that uses best out of prediction algorithms such as Artificial Neural Networks (ANN), Auto Regression algorithm (ARX) and Gaussian process (GP).
By exchanging safety-related messages, the Internet of Vehicles (IoV) technology can reduce traffic collisions. With the help of the internet, vehicles can communicate and exchange information about ...location and speed with other cars and with roadside devices. False alarms, improper vehicle placement, and other forms of assault become commonplace in the automotive network. Message authentication is a difficult operation since it requires distinguishing between legitimate message packets and attack message packets. This study employs a deep learning method based on binary classification to distinguish benign from malicious data packets. Starting with the publidy available KDD99 and CICIDS 2018 datasets, the training dataset is constructed, including 1,20,223 network packets and 41 features. First, an autoencoder is used to weed out any extraneous information from the one-dimensional network data. After training the model using structured deep neural networks, the Softmax classifier, and the ReLU activation functions are included into the mix, leaving just the most relevant 23 characteristics. In order to train and evaluate the proposed Intrusion Prevention model, google Colab, an open platform cloud service, and the open-source tensor flow are used. In order to ensure the suggested preventive classifier model is accurate, it was tested on a dataset created by network simulation. The experimental findings demonstrate an accuracy of 99.57%, which is better than any other RNN- or CNN-based model currently available. To further enhance the model's efficacy and accuracy, it may be trained in the future on more datasets.
LBP-Based Contactless Palm Vein Authentication Thrilok, M; Prakash, G Bhanu; Suresh, N ...
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT,
03/2023, Letnik:
7, Številka:
3
Journal Article
Odprti dostop
Palm Vein Recognition is one among the biometric authentication methods. It works by recognizing the unique patterns of veins in the palms of the people. In palm vein recognition, the near-infrared ...light is illuminated into the palm emitted by the palm scanner. This near-infrared light is absorbed by the deoxygenated blood flowing through the veins which reduces its ability to reflect back the light. This causes the veins to appear as black patterns and is captured as an image by the scanner. These images are processed using various algorithms and compared with the data in the database and authenticates the individuals.
The assessment of student's clinical competence is of paramount importance, and there are several means of evaluating student performance in medical examinations. The OSCE is an approach to student ...assessment in which aspects of clinical competence are evaluated in a comprehensive, consistent and structured manner with close attention to the objectivity of the process. The faculty of general medicine in collaboration with other clinical departments, Mamata Medical College, Khammam first implemented the objective structured clinical examination (OSCE) in the final MBBS Part-II examination during the internal assessment examination for the 2011–2012 academic years. The study was set out to explore student acceptance of the OSCE as part of an evaluation of final MBBS students. A self-administered questionnaire was completed by successive groups of students immediately after the OSCE. Main outcome measures were student perception of examination attributes, which included the quality of instructions and organization, the quality of performance, authenticity and transparency of the process, and usefulness of the OSCE as an assessment instrument compared to other formats. There was an overwhelming acceptance of OSCE in general medicine with respect to comprehensiveness (90%) transparency (90%) & authenticity of required tasks. Students felt that it was a useful form of examination. Student's feedback was invaluable in influencing faculty teaching curriculum direction and appreciation of student opinion and overall the students were agreeable with newer form of OSCE. The majority of the students felt that OSCE is a fair assessment tool compared to traditional long and short cases and it covers a wide range of knowledge and clinical skills in general medicine.
Background & objectives: India has been reporting the cases of coronavirus disease 2019 (COVID-19) since January 30, 2020. The Indian Council of Medical Research (ICMR) formulated and established ...laboratory surveillance for COVID-19. In this study, an analysis of the surveillance data was done to describe the testing performance and descriptive epidemiology of COVID-19 cases by time, place and person.
Methods: The data were extracted from January 22 to April 30, 2020. The frequencies of testing performance were described over time and by place. We described cases by time (epidemic curve by date of specimen collection; seven-day moving average), place (area map) and person (attack rate by age, sex and contact status), and trends were represented along with public health measures and events.
Results: Between January 22 and April 30, 2020, a total of 1,021,518 individuals were tested for severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). Testing increased from about 250 individuals per day in the beginning of March to 50,000 specimens per day by the end of April 2020. Overall, 40,184 (3.9%) tests were reported positive. The proportion of positive cases was highest among symptomatic and asymptomatic contacts, 2-3-fold higher than among those with severe acute respiratory infection, or those with an international travel history or healthcare workers. The attack rate (per million) by age was highest among those aged 50-69 yr (63.3) and was lowest among those under 10 yr (6.1). The attack rate was higher among males (41.6) than females (24.3). The secondary attack rate was 6.0 per cent. Overall, 99.0 per cent of 736 districts reported testing and 71.1 per cent reported COVID-19 cases.
Interpretation & conclusions: The coverage and frequency of ICMR's laboratory surveillance for SARS-CoV-2 improved over time. COVID-19 was reported from most parts of India, and the attack rate was more among men and the elderly and common among close contacts. Analysis of the data indicates that for further insight, additional surveillance tools and strategies at the national and sub-national levels are needed.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
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