MOHAMMED SUHAIL M A - Academia.edu (original) (raw)

Papers by MOHAMMED SUHAIL M A

Research paper thumbnail of Light Field Neural Rendering

ArXiv, 2021

Classical light field rendering for novel view synthesis can accurately reproduce view-dependent ... more Classical light field rendering for novel view synthesis can accurately reproduce view-dependent effects such as reflection, refraction, and translucency, but requires a dense view sampling of the scene. Methods based on geometric reconstruction need only sparse views, but cannot accurately model non-Lambertian effects. We introduce a model that combines the strengths and mitigates the limitations of these two directions. By operating on a four-dimensional representation of the light field, our model learns to represent view-dependent effects accurately. By enforcing geometric constraints during training and inference, the scene geometry is implicitly learned from a sparse set of views. Concretely, we introduce a two-stage transformer-based model that first aggregates features along epipolar lines, then aggregates features along reference views to produce the color of a target ray. Our model outperforms the state-ofthe-art on multiple forward-facing and 360◦ datasets, with larger ma...

Research paper thumbnail of Segmentation-grounded Scene Graph Generation

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021

Scene graph generation has emerged as an important problem in computer vision. While scene graphs... more Scene graph generation has emerged as an important problem in computer vision. While scene graphs provide a grounded representation of objects, their locations and relations in an image, they do so only at the granularity of proposal bounding boxes. In this work, we propose the first, to our knowledge, framework for pixel-level segmentationgrounded scene graph generation. Our framework is agnostic to the underlying scene graph generation method and address the lack of segmentation annotations in target scene graph datasets (e.g., Visual Genome [23]) through transfer and multi-task learning from, and with, an auxiliary dataset (e.g., MS COCO [28]). Specifically, each target object being detected is endowed with a segmentation mask, which is expressed as a lingual-similarity weighted linear combination over categories that have annotations present in an auxiliary dataset. These inferred masks, along with a novel Gaussian attention mechanism which grounds the relations at a pixel-level within the image, allow for improved relation prediction. The entire framework is end-to-end trainable and is learned in a multi-task manner with both target and auxiliary datasets.

Research paper thumbnail of Framework Execution and Schematic of Jounce Bumper in Two-Wheeler Fork

Lecture Notes in Mechanical Engineering, 2019

A two-wheeler fork connects the front wheel and the axle to its frame, via a pair of triple tree ... more A two-wheeler fork connects the front wheel and the axle to its frame, via a pair of triple tree clamps. It typically incorporates the front suspension and front brake, which allows the front wheel to rotate about the steering axis so that the two-wheeler may be steered effectively. The front suspension is either hydraulic or pneumatic shock absorption type. The common type of the front suspension in motorcycle is telescopic forks which are now replaced by mono-shocks that gives a superior vehicle handling and provides safety while braking. The existing front fork suspension assembly consists of fork tubes, sliders, spring, damper rod, spacer, and gaiters to absorb and dampen the shock impulses. The front suspension contributes to the vehicle's handling, thus providing safety and comfort by keeping the vehicle's passengers comfortably isolated from bumps, vibration, and road noise. The objective of our work is to enhance the overall suspension efficiency of the front suspension system by introducing jounce bumper (bump stopper) between the spring and damper rod. The jounce bumper is a polymeric component usually made of polyurethane that can improve the noise, vibration, and harshness performance of the entire vehicle. Polyurethane is known for its low density, flexibility, and resistance to fatigue. Hence with the added absorption capacity of the jounce bumper, the effects of front suspension will get enhanced, which will result in reduction in noise, vibration, and harshness (NVH) leading to improved ride quality and vehicle handling.

Research paper thumbnail of Priority Approach for Data Exchange in VANET

VANET (vehicular Ad Hoc Network) may be a standout among the under investigating topics. Througho... more VANET (vehicular Ad Hoc Network) may be a standout among the under investigating topics. Throughout the years, the helpfulness of remote vehicular Ad Hoc network has been archived. A considerable measure of exertion has gone in to the investigation of integrating vehicular Ad Hoc network and the internet .In VANET, vehicles speak with one another as well as road side poles. VANET also helps web connectivity, that is, the vehicles on the road can access internet through the infrastructure. The infrastructure acts as a gateway between the vehicle and the World Wide Web. The vehicles join remotely to the infrastructure and Furthermore right of entry to the internet. Those infrastructures might have a chance to be joined wired or remotely to the internet. For VANETs applications, it is essential to disseminate information from a data source vehicle to numerous goal vehicles out and about. Disseminate of information in VANETs is utilized to enhance the nature of driving as far as time, d...

Research paper thumbnail of Prcacticability of Nursi Methodology in The Social Reform of Indian Muslims

Thesis On Nursi Studies, 2015

Bediuzzaman Said Nursi (1873-1960) is one of the prominent Islamic thinkers of 20th century who l... more Bediuzzaman Said Nursi (1873-1960) is one of the prominent Islamic thinkers of 20th century who led a very creative renaissance in Modern Turkey. His thoughts and concepts have influenced millions of people from all aspects of life. Now ‘Nur’ movement is growing outsides of Turkey. As a result, discussions and debates about Nursi methodology are taking place in different parts of world. Nursi methodology is quite different from that of other Muslim thinkers. Combined education of Religious and Material studies, Unity of Muslims in the common problems, Unity of people of faith against materialism, Friendly approach towards west, appropriate political methods in different situations, and scientific and philosophic description of Islamic believes through the Quranic perspective are the core of Nursi methods. These methods are practicable in the religious renaissance and social reform of Muslims in the modern world. Indian Muslims live in a condition similar to that of Turkish people i...

Research paper thumbnail of Validation of tuna Potential Fishing Zone advisories of Lakshadweep with a note on tuna habitat preferences and biology

Validation of tuna Potential Fishing Zone advisories of Lakshadweep with a note on tuna habitat p... more Validation of tuna Potential Fishing Zone advisories of Lakshadweep with a note on tuna habitat preferences and biology

Research paper thumbnail of Energy-Based Learning for Scene Graph Generation

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Traditional scene graph generation methods are trained using cross-entropy losses that treat obje... more Traditional scene graph generation methods are trained using cross-entropy losses that treat objects and relationships as independent entities. Such a formulation, however, ignores the structure in the output space, in an inherently structured prediction problem. In this work, we introduce a novel energy-based learning framework for generating scene graphs. The proposed formulation allows for efficiently incorporating the structure of scene graphs in the output space. This additional constraint in the learning framework acts as an inductive bias and allows models to learn efficiently from a small number of labels. We use the proposed energy-based framework 1 to train existing stateof-the-art models and obtain a significant performance improvement, of up to 21% and 27%, on the Visual Genome [9] and GQA [5] benchmark datasets, respectively. Furthermore, we showcase the learning efficiency of the proposed framework by demonstrating superior performance in the zero-and few-shot settings where data is scarce.

Research paper thumbnail of Mixture-Kernel Graph Attention Network for Situation Recognition

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019

Understanding images beyond salient actions involves reasoning about scene context, objects, and ... more Understanding images beyond salient actions involves reasoning about scene context, objects, and the roles they play in the captured event. Situation recognition has recently been introduced as the task of jointly reasoning about the verbs (actions) and a set of semantic-role and entity (noun) pairs in the form of action frames. Labeling an image with an action frame requires an assignment of values (nouns) to the roles based on the observed image content. Among the inherent challenges are the rich conditional structured dependencies between the output role assignments and the overall semantic sparsity. In this paper, we propose a novel mixture-kernel attention graph neural network (GNN) architecture designed to address these challenges. Our GNN enables dynamic graph structure during training and inference, through the use of a graph attention mechanism, and context-aware interactions between role pairs. It also alleviates semantic sparsity by representing graph kernels using a convex combination of learned basis. We illustrate the efficacy of our model and design choices by conducting experiments on imSitu benchmark dataset, with accuracy improvements of up to 10% over state-of-the-art. 1 Semantic sparsity here refers to inability of a training dataset to span combinatorial number of possible action frame outputs.

Research paper thumbnail of Study of pulmonary function test in hypothyroidism

Indian Journal of Clinical Anatomy and Physiology, 2020

Introduction: Thyroid disorders are very common worldwide and there is steep rise in thyroid diso... more Introduction: Thyroid disorders are very common worldwide and there is steep rise in thyroid disorders in India as well. 1 There are very few studies done in past to evaluate effect of thyroid disorder on pulmonary function. This study is focused on estimating effects of hypothyroidism on pulmonary function of affected individual. Aim: To study pulmonary function test in hypothyroid patients and to assess correlation of compromised pulmonary function with Thyroid stimulating hormone levels, duration of hypothyroidism, age of patient and body mass index values. Materials and Methods: A total of 67 hypothyroid patients were selected. This study was approved by the Ethical Committee. The present study was carried out in accordance with the Helsinki declaration all participants participated voluntarily after being given a detailed explanation of the purpose of the study. All hypothyroid patients visiting medicine OPD and those hospitalised were included in study. Smokers, former smokers, patients suffering from lifestyle disease and all patients suffering from pulmonary diseases were excluded from study. Pulmonary function tests were evaluated by computerised spirometer HELIOS 702 of recorders and medicare systems private limited (RMS). Data so obtained was analysed with the help of SPSS. Results: both FVC and FEV1 means were decreased. 44% of patients were having restrictive type of lung disease. Forced vital capacity (FVC) and forced expiratory volume in one sec (FEV1) showed strong negative correlation with Thyroid stimulating hormone levels (TSH), duration of hypothyroidism and Body mass Index (BMI). Conclusion: Findings of this study were consistent with restrictive type of lung disease in hypothyroid patients. Hypothyroidism compromises the pulmonary function of affected individual to variable degree depending upon duration of disease and higher levels of TSH and BMI. All hypothyroid patients must be screened for abnormalities of pulmonary function and all patients with impaired pulmonary function must be screened for thyroid function test to detect and prevent adverse outcomes.

Research paper thumbnail of Off-feed Axis Solar Concentrating Collector with a β-configuration Stirling Engine

International Journal of Engineering Research and, 2014

India is endowed with abundant natural and renewable resources of energy. There is a growing cens... more India is endowed with abundant natural and renewable resources of energy. There is a growing census that renewable energy sources will be a viable alternative in solution of energy needs. In an attempt to tread the line between the demand and supply energy, selected contemporary project will address how the applicability of the low temperature differential designed Stirling engine with solar collector is relevant to develop more efficient to utilize our renewable energy sources and low cost i.e. required to be competitive in this space. The system, primarily uses Stirling engine placed at the focal plane of a parabolic collector. The preliminary prototype design and methodology follows the process, i.e., Heat to mechanical & latter to electric. The conversion of the solar energy per thermal way into electricity is a major stake. The simulation presented provides satisfactory prediction of Solar Energy Extraction System performance as compared to the experimental data by scaling i.e. Three times the power obtained, in comparison to photo-voltaic cells. Experimental verification of simulation being carried out and presented here. Shortcomings of the methodology for simulation are highlighted and an alternative approach to solving particulars suggested.

Research paper thumbnail of Analysis of Some Characteristics of Polymer Concrete by Nontraditional Methods

Polymer Science, Series D, 2018

An assessment of the surface potential of polymer concrete by using the method of sclerometry in ... more An assessment of the surface potential of polymer concrete by using the method of sclerometry in combination with microhardness measuring was carried out. It is shown that a gelcoat layer on a polymerconcrete surface increases the resistance of such a surface to scratching and its microhardness is more twice as high as the microhardness of the untreated polymer-concrete surface.

Research paper thumbnail of On the effectiveness of curing blanks from polymer concrete with a polyether matrix by an ultraviolet irradiator

Proceedings of VIAM, 2017

Research paper thumbnail of Investigate Proppant Transport with Varying Perforation Density and its Impact on Proppant Dune Development Inside Hydraulic Fractures

Day 2 Tue, March 19, 2019, 2019

Proppant transport adequately during hydraulic fracturing treatment assumes same perforation cont... more Proppant transport adequately during hydraulic fracturing treatment assumes same perforation contribution through multi-perforation system. Proppant transport performance into the different ordination fracture system using multi-entry perforation technique is still not fully understood. This experimental study was aimed to deeply investigate five factors that affect proppant transport performance: number of perforations, perforation opening size, shear rate, fracture orientation, and proppant size distribution. The impact of these factors on proppant transport performance from different perspective was studied. Fracture slot model was designed and built to observe easily the effects of perforation density and fracture orientation. The results of this experimental work show that limited-entry perforation technique has significant impact on proppant transport within fractures where single top perforation had better proppant placement than multi-perforation system. Fracture area was ap...

Research paper thumbnail of Study of Cardiac Autonomic Neuropathy (CAN) in Type II Diabetes Mellitus Patients Attending a Tertiary Health Care Center in Maharashtra

International Journal of Physiology, 2017

Research paper thumbnail of Study of cardiovascular responses to sustained handgrip and change in posture in Type II diabetes mellitus patients

National Journal of Physiology, Pharmacy and Pharmacology, 2017

Background: In India, more than 50% of patients with Type II diabetes have poor glycemic control ... more Background: In India, more than 50% of patients with Type II diabetes have poor glycemic control and these patients suffer from complications of diabetes. One of the major complications of diabetes is impaired cardiovascular autonomic reflexes. Postural tachycardia index, blood pressure (BP) response to sustained handgrip (SHG), and BP response to standing these tests are used to assess cardiovascular autonomic responses. Aims and Objectives: This study was done to assess cardiovascular responses to SHG and change in posture in Type II diabetes mellitus patients. Materials and Methods: A total of 90 participants were selected out, of which 30 participants had uncontrolled diabetes, 30 had controlled diabetes, and remaining were 30 age-and gender-matched healthy controls. Postural tachycardia index, BP response to SHG, and BP response to standing were measured using Physiopac-8: Computerized 8-channel biopotential acquisition system and Omron Intellisense M3 BP monitor. Data obtained were analyzed statistically. Results: Postural tachycardia index values were significantly lower in uncontrolled diabetes patient group as compared to controlled diabetes patient group and healthy control group. The value of BP response to sustained handgrip in uncontrolled diabetes patient group was significantly lower as compared to healthy controls (P < 0.01), whereas no statistically significant difference observed between uncontrolled and controlled diabetes patient groups (P = 0.35). The value of BP response to standing was significantly higher in uncontrolled diabetes patient group as compared healthy controls (P < 0.01), there is a progressive increase in value of fall of BP to standing from healthy control group to uncontrolled diabetes patient group. Value of fall in BP is more in both controlled and uncontrolled diabetes patient group compared to controls but value is greater in patients with uncontrolled diabetes. Conclusion: Poor glycemic control leads to impairment of cardiovascular response to change in posture and SHG in Type II diabetes mellitus patients.

Research paper thumbnail of Fast data sampling for large scale support vector machines

2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions (WCI), 2015

Traditional algorithms for training the Support Vector Machines (SVMs) have a worst case time com... more Traditional algorithms for training the Support Vector Machines (SVMs) have a worst case time complexity of O(n3) and a space complexity of O(n2). This makes it difficult to scale the training algorithm for large scale datasets. In this paper, three algorithms have been proposed for reducing the training dataset. The algorithms mine the potential support vectors based on closeness to decision boundary information and use only them for learning the hyper-plane. The algorithms use spatial distribution descriptors such as median and quartiles to realize the closeness of data points to boundary. Initially a distance based algorithm is proposed for linear SVM, and later the same is extended for kernel SVM using projection vectors. The proposed data sampling algorithms have a time complexity of O(n). On experimentation, the algorithms are found to drastically reduce the number of training samples and accordingly reduce the training time of SVM, and in general, much compromise is not seen in classification accuracy.

Research paper thumbnail of Bacterial Isolates from Otitis Media Infections and their Antibiograms, Hodeidah City, Yemen

British Microbiology Research Journal, 2016

The study was aimed at determining the causal microbial agents of URT infections in children and ... more The study was aimed at determining the causal microbial agents of URT infections in children and the susceptibility of isolates to antibiotics and propolis as a natural antimicrobial substance. A total of 17 throat swabs was obtained from children patients (aged up to 11 years) who were diagnosed with upper respiratory tract infections attending Al-Thawrah hospital, Hodeidah City. Samples were collected between April and June, 2011, cultured and the isolates were characterized by standard microbiological procedures. Of the 17 samples, 9 children had positive cultures with Streptococcus pyogenes having the highest prevalence (52.9 %), followed by 2 Haemophilus influenzae (11.8 %) and 6 isolates were identified as Candida albicans (35.3 %). The highest rate of Streptococcus pyogenes isolates was from the age group of 8-11 years. Haemophilus influenzae was not isolated in age group 3. The highest presence of Candida albicans was recorded in the age group 3. All isolates of S. pyogenes were susceptible to ciprofloxacin, amoxacillin and cephalixin. Some isolates showed resistance to ampicillin and erythromycin. The two isolates of H. influenzae were sensitive to ciprofloxacin, lincomycin and cephalixin, while erythromycin was ineffective. Nystatin recorded positive antifungal activity against the isolates of C. albicans. Propolis antimicrobial activity revealed that all isolates were sensitive. The growth of S. pyogenes, H. influenzae and C. albicans was inhibited by using propolis at MIC of 200 mg/ml with zones of inhibition of 24, 17 and 19 mm, respectively. The efficacy of propolis as a treatment of URT infections in 41 pediatric patients was also tested. An enhanced antimicrobial effect was obtained by using a mixture of propolis and goat's milk. A complete remission of both streptococcal and candidal symptoms was attained in a shorter time (2-5 days) than the time of recovery achieved by using each agent singly in all children. The findings suggest that propolis mixed with goat's milk is a very effective antimicrobial agent for the treatment and management of throat infections caused by bacterial and candidal species in children.

Research paper thumbnail of Hepatopulmonary Shunting: A Prognostic Indicator of Survival in Patients with Metastatic Colorectal Adenocarcinoma Treated with 90Y Radioembolization

Radiology, 2017

To determine if high lung shunt fraction (LSF) is an independent prognostic indicator of poor sur... more To determine if high lung shunt fraction (LSF) is an independent prognostic indicator of poor survival in patients who undergo yttrium 90 radioembolization for unresectable liver-dominant metastatic colorectal cancer. Materials and Methods: Retrospective data were analyzed from 606 patients (62% men; mean age, 62 years) who underwent radioembolization to treat liver metastases from colorectal adenocarcinoma between July 2002 and December 2011 at 11 U.S. centers. Institutional review board exemptions were granted prior to the collection of data at each site. Overall survival was estimated by using Kaplan-Meier survival and univariate Cox proportional hazards models to examine the effect of LSF on survival and to compare this to other potential prognostic indicators. Multivariate analysis was also performed to determine whether LSF is an independent risk factor for poor survival. Results: LSF higher than 10% was predictive of significantly decreased survival (median, 6.9 months vs 10.0 months; hazard ratio, 1.60; P , .001) and demonstrated a mild but significant correlation to serum carcinoembryonic antigen levels and tumor-to-liver volume ratio (Pearson correlation coefficients, 0.105 and 0.113, respectively; P , .05). A progressive decrease in survival was observed as LSF increased from less than 5% to more than 20% (P , .05). LSF did not correlate with the presence of extrahepatic metastases or prior administration of bevacizumab. Conclusion: Increased LSF is an independent prognostic indicator of worse survival in patients undergoing radioembolization for liver-dominant metastatic colorectal adenocarcinoma. High LSF correlates poorly to other potential markers of tumor size, such as tumor-to-liver volume ratio or serum carcinoembryonic antigen level, and does not correlate to the presence of extrahepatic metastases.

Research paper thumbnail of Nephroprotective Effect of Ethanolic Extract of Tabernaemontana Coronaria in Mercuric Chloride InducedRenal Damage in Wistar Albino Rats

International Journal of Chemical Engineering and Applications, 2012

Plants and plant-derived products are part of the healthcare system since ancient human civilizat... more Plants and plant-derived products are part of the healthcare system since ancient human civilization. Herbal medicines have been used for many years. The present study was carried out to evaluate the effect of ethanolic extract of Tabernaemontana coronaria in renal oxidative damage induced by mercuric chloride (HgCl2) in rats. HgCl2 (3 mg/kg) was administered intraperitoneally to the rats and the extract was fed orally for 21days. Results indicated that the levels of protein content, enzymic & non-enzymic antioxidants and membrane bound ATPases were decreased in the Group II rats and reverted back to the normal level in the treatment groups. In contrast, the serum levels of cholesterol, urea, uric acid, creatinine and liver marker enzymes were increased in the Group II rats and reverted back to normal level in the treatment groups. Our findings showed that treatment with ethanolic extract of Tabernaemontana coronaria offers imperative protection from HgCl2-induced nephrotoxicity. The deterioration of antioxidant enzymes and histological damage caused by HgCl2 are markedly improved by treatment the treatment with the ethanolic extract of Tabernaemontana coronaria. These observations may be attributed partially to the antioxidant effect of ethanolic extract of Tabernaemontana coronaria and suggest that it may be a clinically valuable agent in the prevention of acute renal failure caused by inorganic mercury intoxication.

Research paper thumbnail of Chronic Hyperglycemia and Inhomogenous Ventricular Repolarisation - an Electrophysiological Approach

International Journal of Physiology, 2015

The QT interval expresses the myocardial depolarization and repolarisation time. QTd is regarded ... more The QT interval expresses the myocardial depolarization and repolarisation time. QTd is regarded as an index of myocardial electrical activity. Present study was done to investigate the differences in QTd between non-diabetics, well controlled diabetes patients and poorly controlled diabetics. The study group comprised of 60 type 2 diabetes patients within the age group of 40–60 years coming to diabetic clinic and those hospitalized in medicine wards, They were further classified in to two sub-groups(n = 30 in each group), Type2 diabetes patients with good glycemic control (HbA1c 7). Glycosylated hemoglobin level was detected by calorimetric method (spectronic -2). The control group consisted of 30 age matched healthy subjects (volunteers). After thorough examination of the subjects as per the proforma, 12 lead ECG was taken with (Montara instrument ELI 250), QT interval was measured on the 12 lead resting ECG. QTd was calculated manually. The value of QT dispersion was significantly high (p < 0.01) in Type2 Diabetes mellitus patients with poor glycemic control compared to well controlled diabetics and healthy subjects. Chronic hyperglycemia is associated with high QT dispersion which suggests that such patients have a greater inhomogeneity of repolarization and therefore they are more prone for adverse cardiovascular events.

Research paper thumbnail of Light Field Neural Rendering

ArXiv, 2021

Classical light field rendering for novel view synthesis can accurately reproduce view-dependent ... more Classical light field rendering for novel view synthesis can accurately reproduce view-dependent effects such as reflection, refraction, and translucency, but requires a dense view sampling of the scene. Methods based on geometric reconstruction need only sparse views, but cannot accurately model non-Lambertian effects. We introduce a model that combines the strengths and mitigates the limitations of these two directions. By operating on a four-dimensional representation of the light field, our model learns to represent view-dependent effects accurately. By enforcing geometric constraints during training and inference, the scene geometry is implicitly learned from a sparse set of views. Concretely, we introduce a two-stage transformer-based model that first aggregates features along epipolar lines, then aggregates features along reference views to produce the color of a target ray. Our model outperforms the state-ofthe-art on multiple forward-facing and 360◦ datasets, with larger ma...

Research paper thumbnail of Segmentation-grounded Scene Graph Generation

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021

Scene graph generation has emerged as an important problem in computer vision. While scene graphs... more Scene graph generation has emerged as an important problem in computer vision. While scene graphs provide a grounded representation of objects, their locations and relations in an image, they do so only at the granularity of proposal bounding boxes. In this work, we propose the first, to our knowledge, framework for pixel-level segmentationgrounded scene graph generation. Our framework is agnostic to the underlying scene graph generation method and address the lack of segmentation annotations in target scene graph datasets (e.g., Visual Genome [23]) through transfer and multi-task learning from, and with, an auxiliary dataset (e.g., MS COCO [28]). Specifically, each target object being detected is endowed with a segmentation mask, which is expressed as a lingual-similarity weighted linear combination over categories that have annotations present in an auxiliary dataset. These inferred masks, along with a novel Gaussian attention mechanism which grounds the relations at a pixel-level within the image, allow for improved relation prediction. The entire framework is end-to-end trainable and is learned in a multi-task manner with both target and auxiliary datasets.

Research paper thumbnail of Framework Execution and Schematic of Jounce Bumper in Two-Wheeler Fork

Lecture Notes in Mechanical Engineering, 2019

A two-wheeler fork connects the front wheel and the axle to its frame, via a pair of triple tree ... more A two-wheeler fork connects the front wheel and the axle to its frame, via a pair of triple tree clamps. It typically incorporates the front suspension and front brake, which allows the front wheel to rotate about the steering axis so that the two-wheeler may be steered effectively. The front suspension is either hydraulic or pneumatic shock absorption type. The common type of the front suspension in motorcycle is telescopic forks which are now replaced by mono-shocks that gives a superior vehicle handling and provides safety while braking. The existing front fork suspension assembly consists of fork tubes, sliders, spring, damper rod, spacer, and gaiters to absorb and dampen the shock impulses. The front suspension contributes to the vehicle's handling, thus providing safety and comfort by keeping the vehicle's passengers comfortably isolated from bumps, vibration, and road noise. The objective of our work is to enhance the overall suspension efficiency of the front suspension system by introducing jounce bumper (bump stopper) between the spring and damper rod. The jounce bumper is a polymeric component usually made of polyurethane that can improve the noise, vibration, and harshness performance of the entire vehicle. Polyurethane is known for its low density, flexibility, and resistance to fatigue. Hence with the added absorption capacity of the jounce bumper, the effects of front suspension will get enhanced, which will result in reduction in noise, vibration, and harshness (NVH) leading to improved ride quality and vehicle handling.

Research paper thumbnail of Priority Approach for Data Exchange in VANET

VANET (vehicular Ad Hoc Network) may be a standout among the under investigating topics. Througho... more VANET (vehicular Ad Hoc Network) may be a standout among the under investigating topics. Throughout the years, the helpfulness of remote vehicular Ad Hoc network has been archived. A considerable measure of exertion has gone in to the investigation of integrating vehicular Ad Hoc network and the internet .In VANET, vehicles speak with one another as well as road side poles. VANET also helps web connectivity, that is, the vehicles on the road can access internet through the infrastructure. The infrastructure acts as a gateway between the vehicle and the World Wide Web. The vehicles join remotely to the infrastructure and Furthermore right of entry to the internet. Those infrastructures might have a chance to be joined wired or remotely to the internet. For VANETs applications, it is essential to disseminate information from a data source vehicle to numerous goal vehicles out and about. Disseminate of information in VANETs is utilized to enhance the nature of driving as far as time, d...

Research paper thumbnail of Prcacticability of Nursi Methodology in The Social Reform of Indian Muslims

Thesis On Nursi Studies, 2015

Bediuzzaman Said Nursi (1873-1960) is one of the prominent Islamic thinkers of 20th century who l... more Bediuzzaman Said Nursi (1873-1960) is one of the prominent Islamic thinkers of 20th century who led a very creative renaissance in Modern Turkey. His thoughts and concepts have influenced millions of people from all aspects of life. Now ‘Nur’ movement is growing outsides of Turkey. As a result, discussions and debates about Nursi methodology are taking place in different parts of world. Nursi methodology is quite different from that of other Muslim thinkers. Combined education of Religious and Material studies, Unity of Muslims in the common problems, Unity of people of faith against materialism, Friendly approach towards west, appropriate political methods in different situations, and scientific and philosophic description of Islamic believes through the Quranic perspective are the core of Nursi methods. These methods are practicable in the religious renaissance and social reform of Muslims in the modern world. Indian Muslims live in a condition similar to that of Turkish people i...

Research paper thumbnail of Validation of tuna Potential Fishing Zone advisories of Lakshadweep with a note on tuna habitat preferences and biology

Validation of tuna Potential Fishing Zone advisories of Lakshadweep with a note on tuna habitat p... more Validation of tuna Potential Fishing Zone advisories of Lakshadweep with a note on tuna habitat preferences and biology

Research paper thumbnail of Energy-Based Learning for Scene Graph Generation

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Traditional scene graph generation methods are trained using cross-entropy losses that treat obje... more Traditional scene graph generation methods are trained using cross-entropy losses that treat objects and relationships as independent entities. Such a formulation, however, ignores the structure in the output space, in an inherently structured prediction problem. In this work, we introduce a novel energy-based learning framework for generating scene graphs. The proposed formulation allows for efficiently incorporating the structure of scene graphs in the output space. This additional constraint in the learning framework acts as an inductive bias and allows models to learn efficiently from a small number of labels. We use the proposed energy-based framework 1 to train existing stateof-the-art models and obtain a significant performance improvement, of up to 21% and 27%, on the Visual Genome [9] and GQA [5] benchmark datasets, respectively. Furthermore, we showcase the learning efficiency of the proposed framework by demonstrating superior performance in the zero-and few-shot settings where data is scarce.

Research paper thumbnail of Mixture-Kernel Graph Attention Network for Situation Recognition

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019

Understanding images beyond salient actions involves reasoning about scene context, objects, and ... more Understanding images beyond salient actions involves reasoning about scene context, objects, and the roles they play in the captured event. Situation recognition has recently been introduced as the task of jointly reasoning about the verbs (actions) and a set of semantic-role and entity (noun) pairs in the form of action frames. Labeling an image with an action frame requires an assignment of values (nouns) to the roles based on the observed image content. Among the inherent challenges are the rich conditional structured dependencies between the output role assignments and the overall semantic sparsity. In this paper, we propose a novel mixture-kernel attention graph neural network (GNN) architecture designed to address these challenges. Our GNN enables dynamic graph structure during training and inference, through the use of a graph attention mechanism, and context-aware interactions between role pairs. It also alleviates semantic sparsity by representing graph kernels using a convex combination of learned basis. We illustrate the efficacy of our model and design choices by conducting experiments on imSitu benchmark dataset, with accuracy improvements of up to 10% over state-of-the-art. 1 Semantic sparsity here refers to inability of a training dataset to span combinatorial number of possible action frame outputs.

Research paper thumbnail of Study of pulmonary function test in hypothyroidism

Indian Journal of Clinical Anatomy and Physiology, 2020

Introduction: Thyroid disorders are very common worldwide and there is steep rise in thyroid diso... more Introduction: Thyroid disorders are very common worldwide and there is steep rise in thyroid disorders in India as well. 1 There are very few studies done in past to evaluate effect of thyroid disorder on pulmonary function. This study is focused on estimating effects of hypothyroidism on pulmonary function of affected individual. Aim: To study pulmonary function test in hypothyroid patients and to assess correlation of compromised pulmonary function with Thyroid stimulating hormone levels, duration of hypothyroidism, age of patient and body mass index values. Materials and Methods: A total of 67 hypothyroid patients were selected. This study was approved by the Ethical Committee. The present study was carried out in accordance with the Helsinki declaration all participants participated voluntarily after being given a detailed explanation of the purpose of the study. All hypothyroid patients visiting medicine OPD and those hospitalised were included in study. Smokers, former smokers, patients suffering from lifestyle disease and all patients suffering from pulmonary diseases were excluded from study. Pulmonary function tests were evaluated by computerised spirometer HELIOS 702 of recorders and medicare systems private limited (RMS). Data so obtained was analysed with the help of SPSS. Results: both FVC and FEV1 means were decreased. 44% of patients were having restrictive type of lung disease. Forced vital capacity (FVC) and forced expiratory volume in one sec (FEV1) showed strong negative correlation with Thyroid stimulating hormone levels (TSH), duration of hypothyroidism and Body mass Index (BMI). Conclusion: Findings of this study were consistent with restrictive type of lung disease in hypothyroid patients. Hypothyroidism compromises the pulmonary function of affected individual to variable degree depending upon duration of disease and higher levels of TSH and BMI. All hypothyroid patients must be screened for abnormalities of pulmonary function and all patients with impaired pulmonary function must be screened for thyroid function test to detect and prevent adverse outcomes.

Research paper thumbnail of Off-feed Axis Solar Concentrating Collector with a β-configuration Stirling Engine

International Journal of Engineering Research and, 2014

India is endowed with abundant natural and renewable resources of energy. There is a growing cens... more India is endowed with abundant natural and renewable resources of energy. There is a growing census that renewable energy sources will be a viable alternative in solution of energy needs. In an attempt to tread the line between the demand and supply energy, selected contemporary project will address how the applicability of the low temperature differential designed Stirling engine with solar collector is relevant to develop more efficient to utilize our renewable energy sources and low cost i.e. required to be competitive in this space. The system, primarily uses Stirling engine placed at the focal plane of a parabolic collector. The preliminary prototype design and methodology follows the process, i.e., Heat to mechanical & latter to electric. The conversion of the solar energy per thermal way into electricity is a major stake. The simulation presented provides satisfactory prediction of Solar Energy Extraction System performance as compared to the experimental data by scaling i.e. Three times the power obtained, in comparison to photo-voltaic cells. Experimental verification of simulation being carried out and presented here. Shortcomings of the methodology for simulation are highlighted and an alternative approach to solving particulars suggested.

Research paper thumbnail of Analysis of Some Characteristics of Polymer Concrete by Nontraditional Methods

Polymer Science, Series D, 2018

An assessment of the surface potential of polymer concrete by using the method of sclerometry in ... more An assessment of the surface potential of polymer concrete by using the method of sclerometry in combination with microhardness measuring was carried out. It is shown that a gelcoat layer on a polymerconcrete surface increases the resistance of such a surface to scratching and its microhardness is more twice as high as the microhardness of the untreated polymer-concrete surface.

Research paper thumbnail of On the effectiveness of curing blanks from polymer concrete with a polyether matrix by an ultraviolet irradiator

Proceedings of VIAM, 2017

Research paper thumbnail of Investigate Proppant Transport with Varying Perforation Density and its Impact on Proppant Dune Development Inside Hydraulic Fractures

Day 2 Tue, March 19, 2019, 2019

Proppant transport adequately during hydraulic fracturing treatment assumes same perforation cont... more Proppant transport adequately during hydraulic fracturing treatment assumes same perforation contribution through multi-perforation system. Proppant transport performance into the different ordination fracture system using multi-entry perforation technique is still not fully understood. This experimental study was aimed to deeply investigate five factors that affect proppant transport performance: number of perforations, perforation opening size, shear rate, fracture orientation, and proppant size distribution. The impact of these factors on proppant transport performance from different perspective was studied. Fracture slot model was designed and built to observe easily the effects of perforation density and fracture orientation. The results of this experimental work show that limited-entry perforation technique has significant impact on proppant transport within fractures where single top perforation had better proppant placement than multi-perforation system. Fracture area was ap...

Research paper thumbnail of Study of Cardiac Autonomic Neuropathy (CAN) in Type II Diabetes Mellitus Patients Attending a Tertiary Health Care Center in Maharashtra

International Journal of Physiology, 2017

Research paper thumbnail of Study of cardiovascular responses to sustained handgrip and change in posture in Type II diabetes mellitus patients

National Journal of Physiology, Pharmacy and Pharmacology, 2017

Background: In India, more than 50% of patients with Type II diabetes have poor glycemic control ... more Background: In India, more than 50% of patients with Type II diabetes have poor glycemic control and these patients suffer from complications of diabetes. One of the major complications of diabetes is impaired cardiovascular autonomic reflexes. Postural tachycardia index, blood pressure (BP) response to sustained handgrip (SHG), and BP response to standing these tests are used to assess cardiovascular autonomic responses. Aims and Objectives: This study was done to assess cardiovascular responses to SHG and change in posture in Type II diabetes mellitus patients. Materials and Methods: A total of 90 participants were selected out, of which 30 participants had uncontrolled diabetes, 30 had controlled diabetes, and remaining were 30 age-and gender-matched healthy controls. Postural tachycardia index, BP response to SHG, and BP response to standing were measured using Physiopac-8: Computerized 8-channel biopotential acquisition system and Omron Intellisense M3 BP monitor. Data obtained were analyzed statistically. Results: Postural tachycardia index values were significantly lower in uncontrolled diabetes patient group as compared to controlled diabetes patient group and healthy control group. The value of BP response to sustained handgrip in uncontrolled diabetes patient group was significantly lower as compared to healthy controls (P < 0.01), whereas no statistically significant difference observed between uncontrolled and controlled diabetes patient groups (P = 0.35). The value of BP response to standing was significantly higher in uncontrolled diabetes patient group as compared healthy controls (P < 0.01), there is a progressive increase in value of fall of BP to standing from healthy control group to uncontrolled diabetes patient group. Value of fall in BP is more in both controlled and uncontrolled diabetes patient group compared to controls but value is greater in patients with uncontrolled diabetes. Conclusion: Poor glycemic control leads to impairment of cardiovascular response to change in posture and SHG in Type II diabetes mellitus patients.

Research paper thumbnail of Fast data sampling for large scale support vector machines

2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions (WCI), 2015

Traditional algorithms for training the Support Vector Machines (SVMs) have a worst case time com... more Traditional algorithms for training the Support Vector Machines (SVMs) have a worst case time complexity of O(n3) and a space complexity of O(n2). This makes it difficult to scale the training algorithm for large scale datasets. In this paper, three algorithms have been proposed for reducing the training dataset. The algorithms mine the potential support vectors based on closeness to decision boundary information and use only them for learning the hyper-plane. The algorithms use spatial distribution descriptors such as median and quartiles to realize the closeness of data points to boundary. Initially a distance based algorithm is proposed for linear SVM, and later the same is extended for kernel SVM using projection vectors. The proposed data sampling algorithms have a time complexity of O(n). On experimentation, the algorithms are found to drastically reduce the number of training samples and accordingly reduce the training time of SVM, and in general, much compromise is not seen in classification accuracy.

Research paper thumbnail of Bacterial Isolates from Otitis Media Infections and their Antibiograms, Hodeidah City, Yemen

British Microbiology Research Journal, 2016

The study was aimed at determining the causal microbial agents of URT infections in children and ... more The study was aimed at determining the causal microbial agents of URT infections in children and the susceptibility of isolates to antibiotics and propolis as a natural antimicrobial substance. A total of 17 throat swabs was obtained from children patients (aged up to 11 years) who were diagnosed with upper respiratory tract infections attending Al-Thawrah hospital, Hodeidah City. Samples were collected between April and June, 2011, cultured and the isolates were characterized by standard microbiological procedures. Of the 17 samples, 9 children had positive cultures with Streptococcus pyogenes having the highest prevalence (52.9 %), followed by 2 Haemophilus influenzae (11.8 %) and 6 isolates were identified as Candida albicans (35.3 %). The highest rate of Streptococcus pyogenes isolates was from the age group of 8-11 years. Haemophilus influenzae was not isolated in age group 3. The highest presence of Candida albicans was recorded in the age group 3. All isolates of S. pyogenes were susceptible to ciprofloxacin, amoxacillin and cephalixin. Some isolates showed resistance to ampicillin and erythromycin. The two isolates of H. influenzae were sensitive to ciprofloxacin, lincomycin and cephalixin, while erythromycin was ineffective. Nystatin recorded positive antifungal activity against the isolates of C. albicans. Propolis antimicrobial activity revealed that all isolates were sensitive. The growth of S. pyogenes, H. influenzae and C. albicans was inhibited by using propolis at MIC of 200 mg/ml with zones of inhibition of 24, 17 and 19 mm, respectively. The efficacy of propolis as a treatment of URT infections in 41 pediatric patients was also tested. An enhanced antimicrobial effect was obtained by using a mixture of propolis and goat's milk. A complete remission of both streptococcal and candidal symptoms was attained in a shorter time (2-5 days) than the time of recovery achieved by using each agent singly in all children. The findings suggest that propolis mixed with goat's milk is a very effective antimicrobial agent for the treatment and management of throat infections caused by bacterial and candidal species in children.

Research paper thumbnail of Hepatopulmonary Shunting: A Prognostic Indicator of Survival in Patients with Metastatic Colorectal Adenocarcinoma Treated with 90Y Radioembolization

Radiology, 2017

To determine if high lung shunt fraction (LSF) is an independent prognostic indicator of poor sur... more To determine if high lung shunt fraction (LSF) is an independent prognostic indicator of poor survival in patients who undergo yttrium 90 radioembolization for unresectable liver-dominant metastatic colorectal cancer. Materials and Methods: Retrospective data were analyzed from 606 patients (62% men; mean age, 62 years) who underwent radioembolization to treat liver metastases from colorectal adenocarcinoma between July 2002 and December 2011 at 11 U.S. centers. Institutional review board exemptions were granted prior to the collection of data at each site. Overall survival was estimated by using Kaplan-Meier survival and univariate Cox proportional hazards models to examine the effect of LSF on survival and to compare this to other potential prognostic indicators. Multivariate analysis was also performed to determine whether LSF is an independent risk factor for poor survival. Results: LSF higher than 10% was predictive of significantly decreased survival (median, 6.9 months vs 10.0 months; hazard ratio, 1.60; P , .001) and demonstrated a mild but significant correlation to serum carcinoembryonic antigen levels and tumor-to-liver volume ratio (Pearson correlation coefficients, 0.105 and 0.113, respectively; P , .05). A progressive decrease in survival was observed as LSF increased from less than 5% to more than 20% (P , .05). LSF did not correlate with the presence of extrahepatic metastases or prior administration of bevacizumab. Conclusion: Increased LSF is an independent prognostic indicator of worse survival in patients undergoing radioembolization for liver-dominant metastatic colorectal adenocarcinoma. High LSF correlates poorly to other potential markers of tumor size, such as tumor-to-liver volume ratio or serum carcinoembryonic antigen level, and does not correlate to the presence of extrahepatic metastases.

Research paper thumbnail of Nephroprotective Effect of Ethanolic Extract of Tabernaemontana Coronaria in Mercuric Chloride InducedRenal Damage in Wistar Albino Rats

International Journal of Chemical Engineering and Applications, 2012

Plants and plant-derived products are part of the healthcare system since ancient human civilizat... more Plants and plant-derived products are part of the healthcare system since ancient human civilization. Herbal medicines have been used for many years. The present study was carried out to evaluate the effect of ethanolic extract of Tabernaemontana coronaria in renal oxidative damage induced by mercuric chloride (HgCl2) in rats. HgCl2 (3 mg/kg) was administered intraperitoneally to the rats and the extract was fed orally for 21days. Results indicated that the levels of protein content, enzymic & non-enzymic antioxidants and membrane bound ATPases were decreased in the Group II rats and reverted back to the normal level in the treatment groups. In contrast, the serum levels of cholesterol, urea, uric acid, creatinine and liver marker enzymes were increased in the Group II rats and reverted back to normal level in the treatment groups. Our findings showed that treatment with ethanolic extract of Tabernaemontana coronaria offers imperative protection from HgCl2-induced nephrotoxicity. The deterioration of antioxidant enzymes and histological damage caused by HgCl2 are markedly improved by treatment the treatment with the ethanolic extract of Tabernaemontana coronaria. These observations may be attributed partially to the antioxidant effect of ethanolic extract of Tabernaemontana coronaria and suggest that it may be a clinically valuable agent in the prevention of acute renal failure caused by inorganic mercury intoxication.

Research paper thumbnail of Chronic Hyperglycemia and Inhomogenous Ventricular Repolarisation - an Electrophysiological Approach

International Journal of Physiology, 2015

The QT interval expresses the myocardial depolarization and repolarisation time. QTd is regarded ... more The QT interval expresses the myocardial depolarization and repolarisation time. QTd is regarded as an index of myocardial electrical activity. Present study was done to investigate the differences in QTd between non-diabetics, well controlled diabetes patients and poorly controlled diabetics. The study group comprised of 60 type 2 diabetes patients within the age group of 40–60 years coming to diabetic clinic and those hospitalized in medicine wards, They were further classified in to two sub-groups(n = 30 in each group), Type2 diabetes patients with good glycemic control (HbA1c 7). Glycosylated hemoglobin level was detected by calorimetric method (spectronic -2). The control group consisted of 30 age matched healthy subjects (volunteers). After thorough examination of the subjects as per the proforma, 12 lead ECG was taken with (Montara instrument ELI 250), QT interval was measured on the 12 lead resting ECG. QTd was calculated manually. The value of QT dispersion was significantly high (p < 0.01) in Type2 Diabetes mellitus patients with poor glycemic control compared to well controlled diabetics and healthy subjects. Chronic hyperglycemia is associated with high QT dispersion which suggests that such patients have a greater inhomogeneity of repolarization and therefore they are more prone for adverse cardiovascular events.