المؤلفون: Yadav, Rishabh Dev, Jones, Brycen, Gupta, Saksham, Sharma, Amitabh, Sun, Jiefeng, Zhao, Jianguo, Roy, Spandan

مصطلحات موضوعية: Computer Science - Robotics

الوصف: Grasping using an aerial robot can have many applications ranging from infrastructure inspection and maintenance to precise agriculture. However, aerial grasping is a challenging problem since the robot has to maintain an accurate position and orientation relative to the grasping object, while negotiating various forms of uncertainties (e.g., contact force from the object). To address such challenges, in this paper, we integrate a novel passive gripper design and advanced adaptive control methods to enable robust aerial grasping. The gripper is enabled by a pre-stressed band with two stable states (a flat shape and a curled shape). In this case, it can automatically initiate the grasping process upon contact with an object. The gripper also features a cable-driven system by a single DC motor to open the gripper without using cumbersome pneumatics. Since the gripper is passively triggered and initially has a straight shape, it can function without precisely aligning the gripper with the object (within an $80$ mm tolerance). Our adaptive control scheme eliminates the need for any a priori knowledge (nominal or upper bounds) of uncertainties. The closed-loop stability of the system is analyzed via Lyapunov-based method. Combining the gripper and the adaptive control, we conduct comparative real-time experimental results to demonstrate the effectiveness of the proposed integrated system for grasping. Our integrated approach can pave the way to enhance aerial grasping for different applications.
Comment: 10 pages, 14 figures

الوصول الحر: http://arxiv.org/abs/2311.00769Test

المؤلفون: van Draanen, Jenna, Tao, HaoDong, Gupta, Saksham, Liu, Sam

المصدر: JMIR Public Health and Surveillance, Vol 6, Iss 4, p e18540 (2020)

مصطلحات موضوعية: Public aspects of medicine, RA1-1270

الوصف: BackgroundInfodemiology is an emerging field of research that utilizes user-generated health-related content, such as that found in social media, to help improve public health. Twitter has become an important venue for studying emerging patterns in health issues such as substance use because it can reflect trends in real-time and display messages generated directly by users, giving a uniquely personal voice to analyses. Over the past year, several states in the United States have passed legislation to legalize adult recreational use of cannabis and the federal government in Canada has done the same. There are few studies that examine the sentiment and content of tweets about cannabis since the recent legislative changes regarding cannabis have occurred in North America. ObjectiveTo examine differences in the sentiment and content of cannabis-related tweets by state cannabis laws, and to examine differences in sentiment between the United States and Canada between 2017 and 2019. MethodsIn total, 1,200,127 cannabis-related tweets were collected from January 1, 2017, to June 17, 2019, using the Twitter application programming interface. Tweets then were grouped geographically based on cannabis legal status (legal for adult recreational use, legal for medical use, and no legal use) in the locations from which the tweets came. Sentiment scoring for the tweets was done with VADER (Valence Aware Dictionary and sEntiment Reasoner), and differences in sentiment for states with different cannabis laws were tested using Tukey adjusted two-sided pairwise comparisons. Topic analysis to determine the content of tweets was done using latent Dirichlet allocation in Python, using a Java implementation, LdaMallet, with Gensim wrapper. ResultsSignificant differences were seen in tweet sentiment between US states with different cannabis laws (P=.001 for negative sentiment tweets in fully illegal compared to legal for adult recreational use states), as well as between the United States and Canada (P=.003 for positive sentiment and P=.001 for negative sentiment). In both cases, restrictive state policy environments (eg, those where cannabis use is fully illegal, or legal for medical use only) were associated with more negative tweet sentiment than less restrictive policy environments (eg, where cannabis is legal for adult recreational use). Six key topics were found in recent US tweet contents: fun and recreation (keywords, eg, love, life, high); daily life (today, start, live); transactions (buy, sell, money); places of use (room, car, house); medical use and cannabis industry (business, industry, company); and legalization (legalize, police, tax). The keywords representing content of tweets also differed between the United States and Canada. ConclusionsKnowledge about how cannabis is being discussed online, and geographic differences that exist in these conversations may help to inform public health planning and prevention efforts. Public health education about how to use cannabis in ways that promote safety and minimize harms may be especially important in places where cannabis is legal for adult recreational and medical use.

وصف الملف: electronic resource

العلاقة: https://publichealth.jmir.org/2020/4/e18540Test; https://doaj.org/toc/2369-2960Test

الوصول الحر: https://doaj.org/article/9834f3d113fb4cd5b2412922d6e47597Test

المؤلفون: Gupta, Saksham, Verbruggen, Gust, Singh, Mukul, Gulwani, Sumit, Le, Vu

مصطلحات موضوعية: Computer Science - Software Engineering

الوصف: Automation platforms aim to automate repetitive tasks using workflows, which start with a trigger and then perform a series of actions. However, with many possible actions, the user has to search for the desired action at each step, which hinders the speed of flow development. We propose a personalized transformer model that recommends the next item at each step. This personalization is learned end-to-end from user statistics that are available at inference time. We evaluated our model on workflows from Power Automate users and show that personalization improves top-1 accuracy by 22%. For new users, our model performs similar to a model trained without personalization.
Comment: 4 pages, Accepted at ICSE 2023

الوصول الحر: http://arxiv.org/abs/2305.10530Test

المؤلفون: Charan, Pabbathi Sri, Gupta, Saksham, Agrawal, Satvik, Sindhu, Gadupudi Sahithi

مصطلحات موضوعية: Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence

الوصف: Computers today aren't just confined to laptops and desktops. Mobile gadgets like mobile phones and laptops also make use of it. However, one input device that hasn't changed in the last 50 years is the QWERTY keyboard. Users of virtual keyboards can type on any surface as if it were a keyboard thanks to sensor technology and artificial intelligence. In this research, we use the idea of image processing to create an application for seeing a computer keyboard using a novel framework which can detect hand gestures with precise accuracy while also being sustainable and financially viable. A camera is used to capture keyboard images and finger movements which subsequently acts as a virtual keyboard. In addition, a visible virtual mouse that accepts finger coordinates as input is also described in this study. This system has a direct benefit of reducing peripheral cost, reducing electronics waste generated due to external devices and providing accessibility to people who cannot use the traditional keyboard and mouse.

الوصول الحر: http://arxiv.org/abs/2208.00913Test

المؤلفون: Gupta, Saksham

مرشدي الرسالة: Ching, Chan Y., Mechanical Engineering

مصطلحات موضوعية: Plain fin and tube heat exchanger, Bypass flow, Partially ducted heat exchanger, heat transfer correlation, friction factor correlation

الوصف: This study numerically examines the heat transfer and pressure drop performance of finned tube heat exchangers with staggered and inline tube layout for a range of tube pitch. The first part of the thesis considers the case where the heat exchanger is placed in fully ducted airflow. The simulations indicate that the performance reduced considerably for the staggered tube layout with an increase in the tube pitch, but a minimal difference for the inline tube arrangement. The effects of other geometrical parameters like fin pitch and the number of tube rows are then presented. Finally, a correlation for fin and tube heat exchangers with inline tube layout is proposed based on 280 simulations for 70 different configurations. The proposed heat transfer correlation can describe the database within ±8% discrepancy while the friction factor correlation can correlate the dataset within a ±10% discrepancy. The mean deviations for heat transfer and friction factor correlations are 4.3% and 5.4%. An important factor that influences the performance of flat plate and finned tube heat exchangers is when there is bypass flow around the heat exchanger. The next section of this thesis numerically investigates the partially ducted inline fin and tube heat exchanger with side bypass. The effects of the side clearance and the Reynolds number on the heat transfer and the pressure drop performance of the heat exchanger are presented. The simulations indicate that the heat transfer performance depreciates by more than 25% for infinite side clearance. The study then compares the pressure difference observed for entry, exit and the friction pressure drop with the various correlations available in the literature. Finally, the heat transfer and pressure drop performance for staggered and inline tube layouts are compared.
Thesis
Master of Applied Science (MASc)

الإتاحة: http://hdl.handle.net/11375/25999Test

المؤلفون: Winkler, Andrea S, Gupta, Saksham, Patel, Vikram, Bhebhe, Arnold, Fleury, Agnès, Aukrust, Camilla G, Dua, Tarun, Welte, Tamara M, Chakraborty, Sarbani, Park, Kee B

المصدر: The Lancet Global Health ; volume 12, issue 5, page e735-e736 ; ISSN 2214-109X

مصطلحات موضوعية: General Medicine

الإتاحة: https://doi.org/10.1016/s2214-109xTest(23)00602-2
https://api.elsevier.com/content/article/PII:S2214109X23006022?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S2214109X23006022?httpAccept=text/plainTest

المؤلفون: Anand, Sukhad, Gupta, Saksham, Darbari, Vaibhav, Kohli, Shivam

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

الوصف: With the advent of self-driving cars and autonomous robots, it is imperative to detect road impairments like cracks and potholes and to perform necessary evading maneuvers to ensure fluid journey for on-board passengers or equipment. We propose a fully autonomous robust real-time road crack and pothole detection algorithm which can be deployed on any GPU based conventional processing boards with an associated camera. The approach is based on a deep neural net architecture which detects cracks and potholes using texture and spatial features. We also propose pre-processing methods which ensure real-time performance. The novelty of the approach lies in using texture- based features to differentiate between crack surfaces and sound roads. The approach performs well in large viewpoint changes, background noise, shadows, and occlusion. The efficacy of the system is shown on standard road crack datasets.
Comment: Submitted at DICTA 2018

الوصول الحر: http://arxiv.org/abs/1810.05107Test

المؤلفون: Gupta, Saksham, Anand, Sukhad, Rai, Atul

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

الوصف: In the previous decade, there has been a considerable rise in the usage of smartphones.Due to exorbitant advancement in technology, computational speed and quality of image capturing has increased considerably. With an increase in the need for remote fingerprint verification, smartphones can be used as a powerful alternative for fingerprint authentication instead of conventional optical sensors. In this research, wepropose a technique to capture finger-images from the smartphones and pre-process them in such a way that it can be easily matched with the optical sensor images.Effective finger-image capturing, image enhancement, fingerprint pattern extraction, core point detection and image alignment techniques have been discussed. The proposed approach has been validated on FVC 2004 DB1 & DB2 dataset and the results show the efficacy of the methodology proposed. The method can be deployed for real-time commercial usage.
Comment: 11 pages

الوصول الحر: http://arxiv.org/abs/1708.00884Test

المؤلفون: Gupta, Saksham, Arnaout, Omar

مصطلحات موضوعية: Letter

وصف الملف: text/html

العلاقة: http://jnis.bmj.com/cgi/content/short/15/8/831Test; http://dx.doi.org/10.1136/jnis-2022-019498Test

الإتاحة: https://doi.org/10.1136/jnis-2022-019498Test
http://jnis.bmj.com/cgi/content/short/15/8/831Test

المؤلفون: Gupta, Saksham, Hauser, Blake M, Catapano, Joshua S, Farhadi, Dara, Ng, Patrick R, Bernstock, Joshua D, See, Alfred Pokmeng, Lawton, Michael T, Smith, Edward R, Du, Rose

المصدر: Neurosurgery

مصطلحات موضوعية: case series, giant aneurysm, rupture, systematic review, vascular disorders

الوصف: OBJECTIVE: Giant aneurysms in pediatric patients are vascular lesions that can cause significant neurological morbidity and mortality. Their rarity has precluded large cohort studies to inform their management. The objective of this study was to understand the clinical course and outcomes of giant aneurysms in pediatric patients. METHODS: The authors performed a multi-institutional cohort study of cases from Boston Children's Hospital and Barrow Neurological Institute, as well as a systematic review and pooled cohort analysis of previously reported cases using descriptive statistics and multivariate regression modeling. RESULTS: Fifteen patients were included in the multi-institutional cohort, and an additional 88 patients were included from 14 series, yielding 103 patients within the pooled cohort. Among the pooled cohort, the most common aneurysm locations were in the middle cerebral artery (36%), internal carotid artery (27%), vertebral artery (11%), and vertebrobasilar junction (8%). Within 69 cases containing radiographic data in the analysis, 38% of aneurysms were saccular. Twenty-eight cases presented with aneurysm rupture (28%), including 0% of cavernous carotid aneurysms, 26% of other anterior circulation aneurysms, and 44% of posterior circulation aneurysms (p = 0.003). In multivariate analysis, posterior circulation location (OR 2.66, 95% CI 1.03-6.86) and younger age (OR 0.90 per year, 95% CI 0.81-1.00) were associated with aneurysm rupture presentation. Most cases were treated (97%) rather than observed (3%). The mortality rate was 3% for unruptured aneurysms and 18% for ruptured aneurysms. A favorable neurological outcome occurred in 80% of unruptured aneurysm cases and 54% of ruptured cases. In multivariate analysis, unruptured aneurysm presentation (OR 3.74, 95% CI 1.24-11.29) and endovascular treatment modality (OR 5.05, 95% CI 1.56-16.29) were associated with a favorable outcome. CONCLUSIONS: Giant aneurysms are rare entities in pediatric patients that are unlikely to be discovered incidentally ...

العلاقة: https://scholar.barrowneuro.org/neurosurgery/1942Test; https://doi.org/10.3171/2023.10.PEDS23296Test

الإتاحة: https://doi.org/10.3171/2023.10.PEDS23296Test
https://scholar.barrowneuro.org/neurosurgery/1942Test