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Nauman Zafar

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University of California, Santa Barbara

University of British Columbia

Prof. Saeid Eslamian

Isfahan University of Technology

University of Exeter

Armando Marques-Guedes

UNL - New University of Lisbon

Iolanda Craifaleanu

Technical University Of Civil Engineering, Bucharest

Fabián Hoyos Patiño

Universidad Nacional de Colombia (National University of Colombia)

Kozminski University

Mikail F Lumentut

National Taiwan University

Guilherme Moerbeck

UERJ - Universidade do Estado do Rio de Janeiro / Rio de Janeiro State University

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Papers by Nauman Zafar

установка для изучения электродных процессов на синусоидальном переменном токе

Федеральное государственное образовательное учреждение высшего профессионального образования «Тамбовский государственный технический университет», 2010

MP22-02 THE Effect of Smaller Residual Stones After Minimal Invasive Endourology Procedures for Renal Stones

The Journal of Urology, 2020

INTRODUCTION AND OBJECTIVE:The new era in urology with the advent of minimally invasive surgical ... more

Frequency of hypomagnesemia in adult patients with diabetic ketoacidosis

Rawal Medical Journal, 2020

Objective: To determine the frequency of hypomagnesaemia in patients presenting with diabetic ket... more Objective: To determine the frequency of hypomagnesaemia in patients presenting with diabetic ketoacidosis. Methodology: This cross sectional study was conducted at Medical Unit-IV, Jinnah Hospital, Lahore from February 15, 2017 to August 16, 2018. A total of 265 cases of diabetic ketoacidosis with age between 15 to 50 year and both gender were included in the study. Patients were inquired for their demographics which include age, gender and address. Magnesium level was measured within 10 hours of presentation. Results: Out of 265 patients, 143(54%) were male. Mean age of patients was 20.06±4.13 years. Mean duration of disease was 3.96±2.51 years. Hypomagnesemia was found in 157(59.2%) patients. Conclusion: A high frequency of hypomagnesemia was noted during treatment in patients with diabetic ketoacidosis.

International MultiCenter Experience with Early Unclamping Technique during Robotic Partial Nephrectomy

2 4 A Surgical Risk Calculator For Complications From Robotic Assisted Partial Nephrectomy Michae... more 2 4 A Surgical Risk Calculator For Complications From Robotic Assisted Partial Nephrectomy Michael Johnson1, Zhaoyong Feng1, Mark Ball1, Michael Gorin1, Michael Stifelman2, Craig Rogers3, Jihad Kaouk4, Sam Bhayani5, Bruce Trock1, Mohamad Allaf1 1Johns Hopkins Medical Insitutions, Baltimore, MD; 2New York University, New York, NY; 3Henry Ford Hospital, Detroit, MI; 4Cleveland Clinic Foundation, Cleveland, OH; 5Washington University School of Medicine, St. Louis, MO

Image Caption Generator with Novel Object Injection

2018 Digital Image Computing: Techniques and Applications (DICTA), 2018

Image captioning is a field within artificial intelligence that is progressing rapidly and it has... more Image captioning is a field within artificial intelligence that is progressing rapidly and it has a lot of potentials. A major problem when working in this field is the limited amount of data that is available to us as is. The only dataset considered suitable enough for the task is the Microsoft: Common Objects in Context (MSCOCO) dataset, which contains about 120,000 training images. This covers about 80 object classes, which is an insufficient amount if we want to create robust solutions that aren't limited to the constraints of the data at hand. In order to overcome this problem, we propose a solution that incorporates Zero-Shot Learning concepts in order to identify unknown objects and classes by using semantic word embeddings and existing state-of-the-art object identification algorithms. Our proposed model, Image Captioning using Novel Word Injection, uses a pre-trained caption generator and works on the output of the generator to inject objects that are not present in the dataset into the caption. We evaluate the model on standardized metrics, namely, BLEU, CIDEr and ROUGE-L. The results, qualitatively and quantitatively, outperform the underlying model.

New insights on possible vaccine development against SARS-CoV-2

Life Sciences, 2020

, a novel virus, namely COVID-19 caused by SARS-CoV-2, developed from Wuhan, (Hubei territory of ... more , a novel virus, namely COVID-19 caused by SARS-CoV-2, developed from Wuhan, (Hubei territory of China) used its viral spike glycoprotein receptor-binding domain (RBD) for the entrance into a host cell by binding with ACE-2 receptor and cause acute respiratory distress syndrome (ARDS). Data revealed that the newly emerged SARS-CoV-2 affected more than 24,854,140 people with 838,924 deaths worldwide. Until now, no licensed immunization or drugs are present for the medication of SARS-CoV-2. The present review aims to investigate the latest developments and discuss the candidate antibodies in different vaccine categories to develop a reliable and efficient vaccine against SARS-CoV-2 in a short time duration. Besides, the review focus on the present challenges and future directions, structure, and mechanism of SARS-CoV-2 for a better understanding. Based on data, we revealed that most of the vaccines are focus on targeting the spike protein (S) of COVID-19 to neutralized viral infection and develop long-lasting immunity. Up to phase-1 clinical trials, some vaccines showed the specific antigen-receptor T-cell response, elicit the humoral and immune response, displayed tight binding with human-leukocytes-antigen (HLA), and recognized specific antibodies to provoke longlasting immunity against SARS-CoV-2.

Single Image Dehazing using CNN

Procedia Computer Science, 2019

Haze is a natural phenomenon in which the dust, smoke and other particles alter the vision of the... more Haze is a natural phenomenon in which the dust, smoke and other particles alter the vision of the sky to reduce the visibility. Hazy images cause various visibility problems for traffic user, tourists everywhere, especially in hilly areas where haze and fog are very common. In this paper, a method for single image dehazing using convolutional neural network is proposed. Outdoor images have been used on which particular filters are applied to find the haze in image. Hazy images contain small value in only one-color alpha channel from Red, Blue, green RGB channel. The intensity of these pixels is mainly bestowed by air light depth map. Estimating these low value points of haze transmission map are useful to obtain a high quality dehazed image. An end-to-end encoder-decoder training model is utilized to achieve a high quality dehazed image. The approach is validated on datasets which consists of around 1500 outdoor images. The method also gives transmission map of the hazy image which can further be used to enhance visibility of the scene.

A Framework to Estimate the Nutritional Value of Food in Real Time Using Deep Learning Techniques

IEEE Access, 2018

There has been a rapid increase in dietary ailments during the last few decades, caused by unheal... more There has been a rapid increase in dietary ailments during the last few decades, caused by unhealthy food routine. Mobile-based dietary assessment systems that can record real-time images of the meal and analyze it for nutritional content can be very handy and improve the dietary habits and, therefore, result in a healthy life. This paper proposes a novel system to automatically estimate food attributes such as ingredients and nutritional value by classifying the input image of food. Our method employs different deep learning models for accurate food identification. In addition to image analysis, attributes and ingredients are estimated by extracting semantically related words from a huge corpus of text, collected over the Internet. We performed experiments with a dataset comprising 100 classes, averaging 1000 images for each class to acquire top 1 classification rate of up to 85%. An extension of a benchmark dataset Food-101 is also created to include sub-continental foods. Results show that our proposed system is equally efficient on the basic Food-101 dataset and its extension for sub-continental foods. The proposed system is implemented as a mobile app that has its application in the healthcare sector. INDEX TERMS Food recognition, convolutional neural networks, vector embeddings, attribute estimation. I. INTRODUCTION

Compressive Strength of Concrete Cylinders Confined with CFRP Wraps

Advances in FRP Composites in Civil Engineering, 2011

It is well established that the confinement of concrete with fiber reinforced polymers (FRP) comp... more It is well established that the confinement of concrete with fiber reinforced polymers (FRP) composites can lead to a significant increase in both the compressive strength and ultimate strain of concrete. Most of the studies focused on normal-strength concretes with strengths in the range of 35 to 60 MPa, and research on FRP-confined low-strength concrete has been very limited. This paper presents the results of an experimental study on the compressive strengths of FRP-confined concrete cylinders with unconfined concrete strength in the range of 21 MPa. Different confinement schemes were used to determine the effect of schemes on the compressive strength of concrete. All the cylinders were tested in uniaxial compression to determine the load carrying capacities of the confined and unconfined cylinders. Compressive strength of FRP-confined concrete was enhanced in all confinement schemes indicating that confinement of concrete using CFRP strips is an efficient method to improve strength of concrete.

MP13-19 the Learning Curve of Multiple Operators for Laser Enucleation of Prostate in Treatment of Benign Prostate Obstruction

The Journal of Urology, 2015

INTRODUCTION AND OBJECTIVES: Greenlight XPS laser is an alternative to open prostatectomy in the ... more INTRODUCTION AND OBJECTIVES: Greenlight XPS laser is an alternative to open prostatectomy in the treatment of benign prostatic hyperplasia (BPH) larger than 80ml. The purpose of this study was to report the perioperative and functional data of photovaporisation of the prostate (PVP) in a large, multi-institutional and prospective cohort. METHODS: From September 2010 to April 2014, 184 patients with symptomatic BPH greater than 80 ml underwent PVP with Greenlight XPS, at 4 different institutions. Baseline characteristics and perioperative data were collected prospectively. Functional results were evaluated at 3 and 12 months post-operatively with IPSS and quality of life (QoL) scores, IIEF5, maximal flow rate (Q max) and post-void residual (PVR). Transrectal ultrasound (TRUS) prostate volume and PSA were assessed in 1 institution. RESULTS: Mean patient age was 72AE9 years. 37% of the patients were on antiplatelet therapy and 6% were on anticoagulant therapy. Mean prostate volume was 112AE34 ml. Mean operative time and energy delivered were 113AE37 min and 4.6 kJ/ml. A second fiber was necessary in 45% of cases. Mean catheter duration was 1.7 days and hospitalization stay was 2.4 days, respectively. Urinary catheter was removed at day 1 or 2 in 89% of cases. Transfusion and severe complications rates (modified Clavien-GL!3) were 5.0% and 3.2%. One month post-operatively, success rate (ability to pass urine) was 96%. Significant improvement of IPSS, QoL, Q max and PVR was observed at 3 and 12 months evaluation (table 1). PSA and TRUS prostate volume were decreased by 61 and 62%. CONCLUSIONS: The treatment of large BPH with Greenlight XPS laser is safe and effective. The operation time is long but the catheter duration and the hospital stay are short. The transfusion and complication rates are lower than observed for open prostatectomy.

Green-tailed Towhee (Pipilo chlorurus)

The Birds of North America Online, 1998

Evaluation of the corrosion resistance of SA-543 and X65 steels in emulsions containing H2S and CO2 using a novel emulsion flow loop

Corrosion Science, 2015

A novel emulsion flow loop was constructed to investigate the corrosion resistance (R P) of SA-54... more A novel emulsion flow loop was constructed to investigate the corrosion resistance (R P) of SA-543 and X65 steels in oil-in-water emulsions containing H 2 S and CO 2. Results show that R P of SA-543 steel is significantly better than that of X65 steel. The R P, which increases with increasing oil concentration, velocity, and temperature, is lower in the developing flow region when compared to that in the fully developed region.

Object segmentation using feature based conditional morphology

12th International Conference on Image Analysis and Processing, 2003.Proceedings.

This paper presents a new technique to segment objects of interest from cluttered background with... more This paper presents a new technique to segment objects of interest from cluttered background with varying edge densities and illumination conditions from gray scale imagery. An optimal background model is generated and an index of disparity of the objects from this model is computed. This index estimates the disparity, both in terms of edge densities and edge orientation. We introduce Feature Based Conditional Morphology to process the representations that are most likely to belong to the object of interest and obtain a distilled edge map. These edges are linked using N th order interpolation to get the final outline of the object. We compare our approach with 9 contemporary background subtraction algorithms as given in [8]. Our approach shows significant performance advantages and uses only the gray scale images, while the other approaches also need the color images for their algorithms. A comparison with the conventional morphological techniques is also made to highlight the advantages of our algorithms.

System Security Requirements Analysis:A Smart Grid Case Study

Systems Engineering, 2013

One of the main concerns in development and operation of mission-critical systems is system secur... more One of the main concerns in development and operation of mission-critical systems is system security. It is of critical importance to properly specify and implement system security requirements. In this paper, we apply a system security requirements analysis method to elicit, specify, categorize, and prioritize the system security requirements on the smart grid as a complex system-of-systems case study. In particular, we apply the Security Quality Requirements Engineering (SQUARE) method as a representative system security requirements analysis method. The main contributions of this research are the smart grid customer domain security requirements specification and its analysis from the system-of-systems perspective. We elicited a large proportion of system and system-of-systems vulnerabilities and requirements, and used them to specify secure smart grid intersystem interactions.

Dye-sensitized solar cells with high-performance electrodeposited gold/polyaniline composite counter electrodes

Materials Science in Semiconductor Processing, 2015

ABSTRACT Electrodeposited gold/polyaniline (Au/PANI) composite film on stainless steel is used as... more ABSTRACT Electrodeposited gold/polyaniline (Au/PANI) composite film on stainless steel is used as counter electrode of dye-sensitized solar cell (DSSC). The influence of gold concentration on the performance of DSSCs has been investigated. The Au/PANI composite has a rough and porous structure and shows a large cathodic current density~5.08 mA/cm2, low charge transfer resistance~3.26 Ω cm−2 and enhanced conductivity~57 S cm−1, that results in excellent electrocatalytic activity for reduction. Power conversion efficiency~6.71% of DSSC is achieved with Au/PANI composite counter electrode, which is greater than thermally decomposed Pt based counter electrode (6.18%). This work demonstrates a low-cost substitute of platinum for commercialization of DSSCs.

Smart grid customer domain analysis

2010 IEEE International Energy Conference, 2010

Smart Grid Initiative aims to use the current energy resources more efficiently by providing a mo... more Smart Grid Initiative aims to use the current energy resources more efficiently by providing a more resilient and reliable infrastructure. One of the main targets of this initiative is the increased customer participation and interaction with the overall grid. In this paper, we analyse the customer domain in order to increase the understanding of this domain within smart grid and to investigate the tasks designated to this domain in detail. The analysis outlined in this paper includes the modeling of the system by using UML diagrams such as component and use case diagrams as well as use case scenarios that elaborate the actions performed by various entitities within the customer domain. The design and modelling efforts presented in this paper aim at providing means to obtain greater confidence in smart grid through domain analysis.

The use of simulation tools in teaching lighting system design

2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO), 2013

The recent technological advancements in the fields of Information Technology have given us excit... more The recent technological advancements in the fields of Information Technology have given us exciting opportunities for knowledge gathering and knowledge sharing. This paper presents the use of simulation software DIALux in teaching Electrical Engineering subjects in general and Energy efficiency aspects in particular. A typical office room in AbuDhabi in the United Arab Emirates (U.A.E) is selected and the use of DIALux software for teaching lighting system design is explained. It is expected that the proposed teaching methodology of computer-based simulation of office lighting system design shall enhance motivation, increase deep-learning skills of Electrical Engineering graduates, promote independent learning skills and stimulate life-long learning.

Unravelling the prostate-specific antigen controversy: a West of Scotland perspective

Scottish Medical Journal, 2014

The use of serum prostate-specific antigen (PSA) as a screening tool for prostate cancer in asymp... more The use of serum prostate-specific antigen (PSA) as a screening tool for prostate cancer in asymptomatic men is hugely controversial in the light of randomised controlled trials failing to demonstrate a benefit without risk of significant overtreatment. However, PSA can be used as a tool to risk assess disease progression in men with lower urinary tract symptoms suggestive of benign prostatic enlargement (LUTS/BPE). The aim of this study was to canvas the opinions of West of Scotland Urologists regarding the use of PSA in both symptomatic and asymptomatic patients. A questionnaire-based survey was sent to all the Consultants and Trainees in the West of Scotland. Survey response rate was 45% (47/105). In patients &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;70 years, 93% would perform a PSA testing in patients symptomatic of LUTS/BPE, but only 17% would offer PSA screening to asymptomatic patients. In patients &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;70 years, only 48% of urologists would perform a PSA if patients were symptomatic and none would offer PSA screening. In terms of self-testing, 59% of urologists would have a PSA test if symptomatic and 31% of urologists would have PSA screening. This study highlights significant variability in the use of PSA for both asymptomatic and symptomatic men. Despite a lack of evidence, PSA screening is still offered to asymptomatic men. Further randomised studies are required to determine the utility of PSA-based screening algorithms for prostate cancer detection.

Laparoscopic pyeloplasty in a solitary kidney

Nature Clinical Practice Urology, 2007

Comparison of the clinical and laboratory features of muscle infections caused by Salmonella and those caused by other pathogens

Journal of Infection and Chemotherapy, 2001

ABSTRACT Muscle infections caused by Salmonella constitute an uncommon complication of extraenter... more ABSTRACT Muscle infections caused by Salmonella constitute an uncommon complication of extraenteric salmonellosis. The aim of this study was to compare the clinical features of Salmonella muscle infections with those reported in several large series of typical, both tropical and non-tropical, pyomyositis, caused mostly by Staphylococcus aureus. A literature survey of Salmonella muscle infections was carried out by using MEDLINE files 1966 through 2000, and cross-references from the selected articles, as well as major reviews of Salmonella infections and of pyomyositis. The survey yielded 32 cases suitable for analysis. The sex distribution, duration of symptom at presentation, degree of fever, involvement of multiple muscle groups, and leukocyte counts were not significantly different between patients with muscle infections caused by Salmonella and typical pyomyositis patients. In contrast, the median age of the patients with Salmonella muscle infections, and the rate of underlying conditions, were significantly higher than those in typical pyomyositis. Psoas muscle was involved more commonly in Salmonella infections than in typical pyomyositis, and the yield of positive blood cultures and, particularly, the mortality rate, were substantially higher in Salmonella muscle infections than in typical pyomyositis. We conclude that patients with Salmonella muscle infections seem to have some different characteristics with respect to typical pyomyositis, such as older age, and higher rates of associated conditions, psoas muscle involvement, bacteremia, and mortality.

установка для изучения электродных процессов на синусоидальном переменном токе

Федеральное государственное образовательное учреждение высшего профессионального образования «Тамбовский государственный технический университет», 2010

MP22-02 THE Effect of Smaller Residual Stones After Minimal Invasive Endourology Procedures for Renal Stones

The Journal of Urology, 2020

INTRODUCTION AND OBJECTIVE:The new era in urology with the advent of minimally invasive surgical ... more

Frequency of hypomagnesemia in adult patients with diabetic ketoacidosis

Rawal Medical Journal, 2020

Objective: To determine the frequency of hypomagnesaemia in patients presenting with diabetic ket... more Objective: To determine the frequency of hypomagnesaemia in patients presenting with diabetic ketoacidosis. Methodology: This cross sectional study was conducted at Medical Unit-IV, Jinnah Hospital, Lahore from February 15, 2017 to August 16, 2018. A total of 265 cases of diabetic ketoacidosis with age between 15 to 50 year and both gender were included in the study. Patients were inquired for their demographics which include age, gender and address. Magnesium level was measured within 10 hours of presentation. Results: Out of 265 patients, 143(54%) were male. Mean age of patients was 20.06±4.13 years. Mean duration of disease was 3.96±2.51 years. Hypomagnesemia was found in 157(59.2%) patients. Conclusion: A high frequency of hypomagnesemia was noted during treatment in patients with diabetic ketoacidosis.

International MultiCenter Experience with Early Unclamping Technique during Robotic Partial Nephrectomy

2 4 A Surgical Risk Calculator For Complications From Robotic Assisted Partial Nephrectomy Michae... more 2 4 A Surgical Risk Calculator For Complications From Robotic Assisted Partial Nephrectomy Michael Johnson1, Zhaoyong Feng1, Mark Ball1, Michael Gorin1, Michael Stifelman2, Craig Rogers3, Jihad Kaouk4, Sam Bhayani5, Bruce Trock1, Mohamad Allaf1 1Johns Hopkins Medical Insitutions, Baltimore, MD; 2New York University, New York, NY; 3Henry Ford Hospital, Detroit, MI; 4Cleveland Clinic Foundation, Cleveland, OH; 5Washington University School of Medicine, St. Louis, MO

Image Caption Generator with Novel Object Injection

2018 Digital Image Computing: Techniques and Applications (DICTA), 2018

Image captioning is a field within artificial intelligence that is progressing rapidly and it has... more Image captioning is a field within artificial intelligence that is progressing rapidly and it has a lot of potentials. A major problem when working in this field is the limited amount of data that is available to us as is. The only dataset considered suitable enough for the task is the Microsoft: Common Objects in Context (MSCOCO) dataset, which contains about 120,000 training images. This covers about 80 object classes, which is an insufficient amount if we want to create robust solutions that aren't limited to the constraints of the data at hand. In order to overcome this problem, we propose a solution that incorporates Zero-Shot Learning concepts in order to identify unknown objects and classes by using semantic word embeddings and existing state-of-the-art object identification algorithms. Our proposed model, Image Captioning using Novel Word Injection, uses a pre-trained caption generator and works on the output of the generator to inject objects that are not present in the dataset into the caption. We evaluate the model on standardized metrics, namely, BLEU, CIDEr and ROUGE-L. The results, qualitatively and quantitatively, outperform the underlying model.

New insights on possible vaccine development against SARS-CoV-2

Life Sciences, 2020

, a novel virus, namely COVID-19 caused by SARS-CoV-2, developed from Wuhan, (Hubei territory of ... more , a novel virus, namely COVID-19 caused by SARS-CoV-2, developed from Wuhan, (Hubei territory of China) used its viral spike glycoprotein receptor-binding domain (RBD) for the entrance into a host cell by binding with ACE-2 receptor and cause acute respiratory distress syndrome (ARDS). Data revealed that the newly emerged SARS-CoV-2 affected more than 24,854,140 people with 838,924 deaths worldwide. Until now, no licensed immunization or drugs are present for the medication of SARS-CoV-2. The present review aims to investigate the latest developments and discuss the candidate antibodies in different vaccine categories to develop a reliable and efficient vaccine against SARS-CoV-2 in a short time duration. Besides, the review focus on the present challenges and future directions, structure, and mechanism of SARS-CoV-2 for a better understanding. Based on data, we revealed that most of the vaccines are focus on targeting the spike protein (S) of COVID-19 to neutralized viral infection and develop long-lasting immunity. Up to phase-1 clinical trials, some vaccines showed the specific antigen-receptor T-cell response, elicit the humoral and immune response, displayed tight binding with human-leukocytes-antigen (HLA), and recognized specific antibodies to provoke longlasting immunity against SARS-CoV-2.

Single Image Dehazing using CNN

Procedia Computer Science, 2019

Haze is a natural phenomenon in which the dust, smoke and other particles alter the vision of the... more Haze is a natural phenomenon in which the dust, smoke and other particles alter the vision of the sky to reduce the visibility. Hazy images cause various visibility problems for traffic user, tourists everywhere, especially in hilly areas where haze and fog are very common. In this paper, a method for single image dehazing using convolutional neural network is proposed. Outdoor images have been used on which particular filters are applied to find the haze in image. Hazy images contain small value in only one-color alpha channel from Red, Blue, green RGB channel. The intensity of these pixels is mainly bestowed by air light depth map. Estimating these low value points of haze transmission map are useful to obtain a high quality dehazed image. An end-to-end encoder-decoder training model is utilized to achieve a high quality dehazed image. The approach is validated on datasets which consists of around 1500 outdoor images. The method also gives transmission map of the hazy image which can further be used to enhance visibility of the scene.

A Framework to Estimate the Nutritional Value of Food in Real Time Using Deep Learning Techniques

IEEE Access, 2018

There has been a rapid increase in dietary ailments during the last few decades, caused by unheal... more There has been a rapid increase in dietary ailments during the last few decades, caused by unhealthy food routine. Mobile-based dietary assessment systems that can record real-time images of the meal and analyze it for nutritional content can be very handy and improve the dietary habits and, therefore, result in a healthy life. This paper proposes a novel system to automatically estimate food attributes such as ingredients and nutritional value by classifying the input image of food. Our method employs different deep learning models for accurate food identification. In addition to image analysis, attributes and ingredients are estimated by extracting semantically related words from a huge corpus of text, collected over the Internet. We performed experiments with a dataset comprising 100 classes, averaging 1000 images for each class to acquire top 1 classification rate of up to 85%. An extension of a benchmark dataset Food-101 is also created to include sub-continental foods. Results show that our proposed system is equally efficient on the basic Food-101 dataset and its extension for sub-continental foods. The proposed system is implemented as a mobile app that has its application in the healthcare sector. INDEX TERMS Food recognition, convolutional neural networks, vector embeddings, attribute estimation. I. INTRODUCTION

Compressive Strength of Concrete Cylinders Confined with CFRP Wraps

Advances in FRP Composites in Civil Engineering, 2011

It is well established that the confinement of concrete with fiber reinforced polymers (FRP) comp... more It is well established that the confinement of concrete with fiber reinforced polymers (FRP) composites can lead to a significant increase in both the compressive strength and ultimate strain of concrete. Most of the studies focused on normal-strength concretes with strengths in the range of 35 to 60 MPa, and research on FRP-confined low-strength concrete has been very limited. This paper presents the results of an experimental study on the compressive strengths of FRP-confined concrete cylinders with unconfined concrete strength in the range of 21 MPa. Different confinement schemes were used to determine the effect of schemes on the compressive strength of concrete. All the cylinders were tested in uniaxial compression to determine the load carrying capacities of the confined and unconfined cylinders. Compressive strength of FRP-confined concrete was enhanced in all confinement schemes indicating that confinement of concrete using CFRP strips is an efficient method to improve strength of concrete.

MP13-19 the Learning Curve of Multiple Operators for Laser Enucleation of Prostate in Treatment of Benign Prostate Obstruction

The Journal of Urology, 2015

INTRODUCTION AND OBJECTIVES: Greenlight XPS laser is an alternative to open prostatectomy in the ... more INTRODUCTION AND OBJECTIVES: Greenlight XPS laser is an alternative to open prostatectomy in the treatment of benign prostatic hyperplasia (BPH) larger than 80ml. The purpose of this study was to report the perioperative and functional data of photovaporisation of the prostate (PVP) in a large, multi-institutional and prospective cohort. METHODS: From September 2010 to April 2014, 184 patients with symptomatic BPH greater than 80 ml underwent PVP with Greenlight XPS, at 4 different institutions. Baseline characteristics and perioperative data were collected prospectively. Functional results were evaluated at 3 and 12 months post-operatively with IPSS and quality of life (QoL) scores, IIEF5, maximal flow rate (Q max) and post-void residual (PVR). Transrectal ultrasound (TRUS) prostate volume and PSA were assessed in 1 institution. RESULTS: Mean patient age was 72AE9 years. 37% of the patients were on antiplatelet therapy and 6% were on anticoagulant therapy. Mean prostate volume was 112AE34 ml. Mean operative time and energy delivered were 113AE37 min and 4.6 kJ/ml. A second fiber was necessary in 45% of cases. Mean catheter duration was 1.7 days and hospitalization stay was 2.4 days, respectively. Urinary catheter was removed at day 1 or 2 in 89% of cases. Transfusion and severe complications rates (modified Clavien-GL!3) were 5.0% and 3.2%. One month post-operatively, success rate (ability to pass urine) was 96%. Significant improvement of IPSS, QoL, Q max and PVR was observed at 3 and 12 months evaluation (table 1). PSA and TRUS prostate volume were decreased by 61 and 62%. CONCLUSIONS: The treatment of large BPH with Greenlight XPS laser is safe and effective. The operation time is long but the catheter duration and the hospital stay are short. The transfusion and complication rates are lower than observed for open prostatectomy.

Green-tailed Towhee (Pipilo chlorurus)

The Birds of North America Online, 1998

Evaluation of the corrosion resistance of SA-543 and X65 steels in emulsions containing H2S and CO2 using a novel emulsion flow loop

Corrosion Science, 2015

A novel emulsion flow loop was constructed to investigate the corrosion resistance (R P) of SA-54... more A novel emulsion flow loop was constructed to investigate the corrosion resistance (R P) of SA-543 and X65 steels in oil-in-water emulsions containing H 2 S and CO 2. Results show that R P of SA-543 steel is significantly better than that of X65 steel. The R P, which increases with increasing oil concentration, velocity, and temperature, is lower in the developing flow region when compared to that in the fully developed region.

Object segmentation using feature based conditional morphology

12th International Conference on Image Analysis and Processing, 2003.Proceedings.

This paper presents a new technique to segment objects of interest from cluttered background with... more This paper presents a new technique to segment objects of interest from cluttered background with varying edge densities and illumination conditions from gray scale imagery. An optimal background model is generated and an index of disparity of the objects from this model is computed. This index estimates the disparity, both in terms of edge densities and edge orientation. We introduce Feature Based Conditional Morphology to process the representations that are most likely to belong to the object of interest and obtain a distilled edge map. These edges are linked using N th order interpolation to get the final outline of the object. We compare our approach with 9 contemporary background subtraction algorithms as given in [8]. Our approach shows significant performance advantages and uses only the gray scale images, while the other approaches also need the color images for their algorithms. A comparison with the conventional morphological techniques is also made to highlight the advantages of our algorithms.

System Security Requirements Analysis:A Smart Grid Case Study

Systems Engineering, 2013

One of the main concerns in development and operation of mission-critical systems is system secur... more One of the main concerns in development and operation of mission-critical systems is system security. It is of critical importance to properly specify and implement system security requirements. In this paper, we apply a system security requirements analysis method to elicit, specify, categorize, and prioritize the system security requirements on the smart grid as a complex system-of-systems case study. In particular, we apply the Security Quality Requirements Engineering (SQUARE) method as a representative system security requirements analysis method. The main contributions of this research are the smart grid customer domain security requirements specification and its analysis from the system-of-systems perspective. We elicited a large proportion of system and system-of-systems vulnerabilities and requirements, and used them to specify secure smart grid intersystem interactions.

Dye-sensitized solar cells with high-performance electrodeposited gold/polyaniline composite counter electrodes

Materials Science in Semiconductor Processing, 2015

ABSTRACT Electrodeposited gold/polyaniline (Au/PANI) composite film on stainless steel is used as... more ABSTRACT Electrodeposited gold/polyaniline (Au/PANI) composite film on stainless steel is used as counter electrode of dye-sensitized solar cell (DSSC). The influence of gold concentration on the performance of DSSCs has been investigated. The Au/PANI composite has a rough and porous structure and shows a large cathodic current density~5.08 mA/cm2, low charge transfer resistance~3.26 Ω cm−2 and enhanced conductivity~57 S cm−1, that results in excellent electrocatalytic activity for reduction. Power conversion efficiency~6.71% of DSSC is achieved with Au/PANI composite counter electrode, which is greater than thermally decomposed Pt based counter electrode (6.18%). This work demonstrates a low-cost substitute of platinum for commercialization of DSSCs.

Smart grid customer domain analysis

2010 IEEE International Energy Conference, 2010

Smart Grid Initiative aims to use the current energy resources more efficiently by providing a mo... more Smart Grid Initiative aims to use the current energy resources more efficiently by providing a more resilient and reliable infrastructure. One of the main targets of this initiative is the increased customer participation and interaction with the overall grid. In this paper, we analyse the customer domain in order to increase the understanding of this domain within smart grid and to investigate the tasks designated to this domain in detail. The analysis outlined in this paper includes the modeling of the system by using UML diagrams such as component and use case diagrams as well as use case scenarios that elaborate the actions performed by various entitities within the customer domain. The design and modelling efforts presented in this paper aim at providing means to obtain greater confidence in smart grid through domain analysis.

The use of simulation tools in teaching lighting system design

2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO), 2013

The recent technological advancements in the fields of Information Technology have given us excit... more The recent technological advancements in the fields of Information Technology have given us exciting opportunities for knowledge gathering and knowledge sharing. This paper presents the use of simulation software DIALux in teaching Electrical Engineering subjects in general and Energy efficiency aspects in particular. A typical office room in AbuDhabi in the United Arab Emirates (U.A.E) is selected and the use of DIALux software for teaching lighting system design is explained. It is expected that the proposed teaching methodology of computer-based simulation of office lighting system design shall enhance motivation, increase deep-learning skills of Electrical Engineering graduates, promote independent learning skills and stimulate life-long learning.

Unravelling the prostate-specific antigen controversy: a West of Scotland perspective

Scottish Medical Journal, 2014

The use of serum prostate-specific antigen (PSA) as a screening tool for prostate cancer in asymp... more The use of serum prostate-specific antigen (PSA) as a screening tool for prostate cancer in asymptomatic men is hugely controversial in the light of randomised controlled trials failing to demonstrate a benefit without risk of significant overtreatment. However, PSA can be used as a tool to risk assess disease progression in men with lower urinary tract symptoms suggestive of benign prostatic enlargement (LUTS/BPE). The aim of this study was to canvas the opinions of West of Scotland Urologists regarding the use of PSA in both symptomatic and asymptomatic patients. A questionnaire-based survey was sent to all the Consultants and Trainees in the West of Scotland. Survey response rate was 45% (47/105). In patients &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;70 years, 93% would perform a PSA testing in patients symptomatic of LUTS/BPE, but only 17% would offer PSA screening to asymptomatic patients. In patients &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;70 years, only 48% of urologists would perform a PSA if patients were symptomatic and none would offer PSA screening. In terms of self-testing, 59% of urologists would have a PSA test if symptomatic and 31% of urologists would have PSA screening. This study highlights significant variability in the use of PSA for both asymptomatic and symptomatic men. Despite a lack of evidence, PSA screening is still offered to asymptomatic men. Further randomised studies are required to determine the utility of PSA-based screening algorithms for prostate cancer detection.

Laparoscopic pyeloplasty in a solitary kidney

Nature Clinical Practice Urology, 2007

Comparison of the clinical and laboratory features of muscle infections caused by Salmonella and those caused by other pathogens

Journal of Infection and Chemotherapy, 2001

ABSTRACT Muscle infections caused by Salmonella constitute an uncommon complication of extraenter... more ABSTRACT Muscle infections caused by Salmonella constitute an uncommon complication of extraenteric salmonellosis. The aim of this study was to compare the clinical features of Salmonella muscle infections with those reported in several large series of typical, both tropical and non-tropical, pyomyositis, caused mostly by Staphylococcus aureus. A literature survey of Salmonella muscle infections was carried out by using MEDLINE files 1966 through 2000, and cross-references from the selected articles, as well as major reviews of Salmonella infections and of pyomyositis. The survey yielded 32 cases suitable for analysis. The sex distribution, duration of symptom at presentation, degree of fever, involvement of multiple muscle groups, and leukocyte counts were not significantly different between patients with muscle infections caused by Salmonella and typical pyomyositis patients. In contrast, the median age of the patients with Salmonella muscle infections, and the rate of underlying conditions, were significantly higher than those in typical pyomyositis. Psoas muscle was involved more commonly in Salmonella infections than in typical pyomyositis, and the yield of positive blood cultures and, particularly, the mortality rate, were substantially higher in Salmonella muscle infections than in typical pyomyositis. We conclude that patients with Salmonella muscle infections seem to have some different characteristics with respect to typical pyomyositis, such as older age, and higher rates of associated conditions, psoas muscle involvement, bacteremia, and mortality.