Agriculture is the backbone of many nations' economies. As India is an agricultural country where, 70% of the population depends on farming, the processing of grains plays a vital role in the national economy. Mai...
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In this paper, we propose a cable-driven 7-DOF robotic arm based on tensegrity joints and derive its inverse kinematics. The inverse kinematics of this robotic arm can be determined with two steps. Firstly, by given t...
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With the development of big data, artificial intelligence, and wearable technology, the data generated by learners in the learning process can be fully recorded and stored. Using these data to study the characteristic...
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This interdisciplinary research integrates theoretical principles like Betz's law, Bernoulli's principle, and Navier-Stokes equations that helps in CFD (Computational Fluid Dynamics) simulations to design an e...
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Load carriage is common in daily activities. Excessive load carriage leads to postural alteration, discomfort, and potential injuries. A variety of bags are available in the market, with certain bags featuring ergonom...
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There is an implicit assumption that two adjacent moments have the same state quantity in the traditional Kalman filter-based remaining useful life (RUL) prediction method, which may result in a low prediction accurac...
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Optical Character Recognition (OCR) models are deployed on edge devices for many applications ranging from document scanning to real-time text recognition. For edge deployment, it is suitable to convert OCR models to ...
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Patient monitoring and continuous updation of their health status is very serious concern especially during the times of pandemic like situations. Since, it is a costly affair with heavy instruments and hosptializatio...
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Label assignment refers to determining positive/negative labels foreach sample to supervise the training process. Existing Siamese-based trackersprimarily use fixed label assignment strategies according to human prior...
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Label assignment refers to determining positive/negative labels foreach sample to supervise the training process. Existing Siamese-based trackersprimarily use fixed label assignment strategies according to human priorknowledge;thus, they can be sensitive to predefined hyperparameters and failto fit the spatial and scale variations of samples. In this study, we first developa novel dynamic label assignment (DLA) module to handle the diverse datadistributions and adaptively distinguish the foreground from the backgroundbased on the statistical characteristics of the target in visual object *** core of DLA module is a two-step selection mechanism. The first stepselects candidate samples according to the Euclidean distance between trainingsamples and ground truth, and the second step selects positive/negativesamples based on the mean and standard deviation of candidate *** proposed approach is general-purpose and can be easily integrated intoanchor-based and anchor-free trackers for optimal sample-label *** to extensive experimental findings, Siamese-based trackers withDLA modules can refine target locations and outperformbaseline trackers onOTB100, VOT2019, UAV123 and LaSOT. Particularly, DLA-SiamRPN++improves SiamRPN++ by 1% AUC and DLA-SiamCAR improves Siam-CAR by 2.5% AUC on OTB100. Furthermore, hyper-parameters analysisexperiments show that DLA module hardly increases spatio-temporal complexity,the proposed approach maintains the same speed as the originaltracker without additional overhead.
Fused deposition modeling (FDM) is the first 3D printing technique that most people and consumers are getting introduced. Globally, 3D printing with the FDM method is most often used with 3D printers. Among the seven ...
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