Mohit Saxena - Academia.edu (original) (raw)

Papers by Mohit Saxena

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN), 2016

PHR(Personal health Record) is a model which is using for exchange the health information of pati... more PHR(Personal health Record) is a model which is using for exchange the health information of patient. Generally PHR system is operate by the third party for storage purpose like cloud storage purpose. Though there are a lot of concerns over privacy like PHI that can be show to servers & unauthorized users of the third party. Before outsource the PHR data, PHR data encryption is very important for the security reasons. In this paper, we are working over enhancing the security of PHR by implementation of DWT that is based over Steganography. Steganography is that process in which information can be hided in a picture. Steganography has the ability of inserting more information into one image. PHR data will be hided in one image by Steganography. In the Steganography encryption & decryption process will be executed by DWT. In this paper, we are working for hiding the PHR data into a single image for the security reasons. For hiding the PHR data into an image, Wavelet based Steganograph...

The recent adoption of deep learning for diverse applications has required scaling infrastructure... more The recent adoption of deep learning for diverse applications has required scaling infrastructures both horizontally and vertically. As a result, efficient resource management for distributed deep learning (DDL) frameworks is becoming increasingly important. However, existing techniques for scaling DDL applications rely on general-purpose resource managers originally designed for data intensive applications. In contrast, DDL applications present unique challenges for resource management as compared to traditional big data frameworks, such as a different master-slave communication paradigm, deeper ML models that are more computationally and network bound than I/O, and use of heterogeneous resources (GPUs, TPUs, and variable memory). In addition, most DDL frameworks require data scientists to manually configure the task placement and resource assignment to execute DDL models. In this paper, we present Dike, an application scheduler framework that transparently makes scheduling decisio...

International Journal of Current Research and Review

Background: Isotretinoin is the most potent anti-acne agent available today and only one that add... more Background: Isotretinoin is the most potent anti-acne agent available today and only one that addresses all pathogenic mechanism; However, it is associated with multiple dose-dependent side effects. Objective: To evaluate the efficacy and tolerability of various therapeutic regimens (daily; alternate and low dose) of oral isotretinoin in moderate to severe acne vulgaris. Methods: This randomised, prospective, single-blind, parallel-group study was carried out in 90 randomised with a group of 30 patients each categorized as Group A receiving a conventional daily dose of oral isotretinoin 0.5mg/kg/day for 24 weeks, Group B receiving alternate day dose of oral isotretinoin 0.5mg/kg for 24 weeks and Group C receiving low dose 20 mg daily regimen of oral isotretinoin for 24 weeks for the total duration of 24 weeks with every 2 weeks follow up visits for their efficacy and safety. Results: Out of total 90, only 6 patients lost to follow up during study period, so remaining 84 patients included in the final analysis as 27 patients in Group A, 28 patients in Group B and 29 patients in Group C. The comparison of mean initial acne load at each visit in all three groups suggested no significant difference at initial acne scores in various treatment groups, which was found to be significantly decreased at each follow-up and the end of therapy and no significant difference at the end of the therapy. Frequency of all the side effects was higher in treatment group A. Severity of the all the side effects including mucocutaneous and systemic were maximum in group A and minimum in group C. Conclusion: Looking at the efficacy and safety profile of various oral isotretinoin regimens, one can plan for reducing dose regimen of oral isotretinoin for severe acne and low dose isotretinoin for mild to moderate acne.

Bulletin of Environmental Contamination and Toxicology

In this study, ambient NH, NO, NO, CO and SOwere measured continuously from February, 2008, to De... more In this study, ambient NH, NO, NO, CO and SOwere measured continuously from February, 2008, to December, 2016. The annual average mixing ratios (mole/mole) of NH, NO, NO, CO and SOwere 17.8 ± 3.4 ppb; 21.2 ± 2.3 ppb, 18.1 ± 3.2 ppb; 1.7 ± 0.3 ppm and 2.0 ± 0.3 ppb, respectively. All the trace gases (NH, NO, NO, CO and SO) showed significant annual variation during the study. A significant increasing trend in mixing ratios of ambient NHand NOwere observed at the observational site of Delhi, whereas, increasing trend were recorded in case of NO, CO and NOmixing ratios. The results emphasized that traffic could be one of the significant sources of ambient NHat the urban site of Delhi, as illustrated by positive correlations of NHwith traffic related co-pollutants (NO and CO).

Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing - ICVGIP '16, 2016

Parkinson's disease (PD) is a neurodegenerative disorder, which needs to be accurately diagno... more Parkinson's disease (PD) is a neurodegenerative disorder, which needs to be accurately diagnosed in early stage. Voxel-based morphometry (VBM) has been extensively utilized to determine focal changes between PD patients and controls. However, it is not much utilized in differential diagnosis of an individual subject. Thus, in this study, VBM findings in conjunction with minimum redundancy maximum relevance (mRMR) method are utilized to obtain a set of relevant and non-redundant features for computer-aided diagnosis (CAD) of PD using T1-weighted MRI. In the proposed method, firstly, statistical features are extracted from the clusters obtained from statistical maps, generated using VBM, of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF) independently and their different combinations. Then mRMR, a multivariate feature selection method, is utilized to find a minimal set of relevant and non-redundant features. Finally, support vector machine is utilized to learn a decision model using the selected features. Experiments are performed on newly acquired T1-weighted MRI of 30 PD patients and 30 age & gender matched controls. The performance is evaluated using leave-one out cross-validation scheme in terms of sensitivity, specificity and classification accuracy. The maximum accuracy of 88.33% is achieved for GM+WM and GM+WM+CSF. In addition, the proposed method outperforms the existing methods. It is also observed that the selected clusters belong to regions namely middle and superior frontal gyrus for GM, inferior, middle frontal gyrus and insula for WM and lateral ventricle for CSF. Further, correlation of UPDRS/H&Y staging scale with GM/WM/CSF volume is observed to be not significant. Appreciable classification performance of the proposed method highlights the potential of the proposed method in CAD support system for the clinicians in PD diagnosis.

Biomedical Signal Processing and Control, 2017

Computer-aided diagnosis (CAD) of Parkinson’s disease (PD) using structural magnetic resonance im... more Computer-aided diagnosis (CAD) of Parkinson’s disease (PD) using structural magnetic resonance imaging is an emerging research field for the pattern recognition community. The existing research works have utilized gray matter, white matter and cerebrospinal fluid tissues individually for diagnosis of PD and have ignored the intercorrelation among the three tissues. Thus, there is a need to define a fused feature descriptor (FFD) which can capture information and intercorrelation of all the three tissues simultaneously, and to further enhance the performance of CAD. The present study proposes a simple and efficient FFD, in terms of all the three tissues, for CAD of PD. Each brain volume is represented in terms of the FFD. Then each fused volume is segmented into 118 brain regions. Thereafter, features extraction is carried out from each brain region using 3D local binary pattern. Then, a set of discriminating and uncorrelated features are identified using t-test in conjunction with minimum redundancy maximum relevance feature selection method. Finally, support vector machine is utilized to build a decision model. Volumetric 3D T1-weighted magnetic resonance imaging dataset (age & gender matched 30 PD and 30 healthy subjects) is acquired using 1.5T machine and is utilized to investigate the efficacy of the proposed method. The classification accuracy of 95% is achieved using leave-one-out cross-validation scheme which is superior to the existing methods. Regions namely Hippocampus_R, Cingulum_Mid_L, Frontal_Inf_Tri_L, Precentral_R, Precentral_L, Frontal_Mid_L, Frontal_Mid_Orb_L, Cingulum_Ant_L and Hippocampus_L, are observed to be the most discriminative regions for diagnosis of PD. The notable performance of the proposed method suggests that instead of studying the three tissues independently, their intercorrelation should also be considered. Further, the proposed method may be employed as a diagnostic tool for diagnosis of PD.

Bulletin of environmental contamination and toxicology, Jan 21, 2016

Chemical characterization of PM2.5 [organic carbon, elemental carbon, water soluble inorganic ion... more Chemical characterization of PM2.5 [organic carbon, elemental carbon, water soluble inorganic ionic components, and major and trace elements] was carried out for a source apportionment study of PM2.5 at an urban site of Delhi, India from January, 2013, to December, 2014. The annual average mass concentration of PM2.5 was 122 ± 94.1 µg m(-3). Strong seasonal variation was observed in PM2.5 mass concentration and its chemical composition with maxima during winter and minima during monsoon. A receptor model, positive matrix factorization (PMF) was applied for source apportionment of PM2.5 mass concentration. The PMF model resolved the major sources of PM2.5 as secondary aerosols (21.3 %), followed by soil dust (20.5 %), vehicle emissions (19.7 %), biomass burning (14.3 %), fossil fuel combustion (13.7 %), industrial emissions (6.2 %) and sea salt (4.3 %).

International Journal of Advanced Science and Technology, 2015

This paper presents a novel optimal 2-D layout using PN and PNN pattern during placement, we util... more This paper presents a novel optimal 2-D layout using PN and PNN pattern during placement, we utilize the device merging, abutment and alignment technique to enhance the wire-length and area-efficiency. A placement objective is formulated balancing the symmetry for routing and the area efficiency. To the best of my knowledge, this is the first piece of work that can handle PN and PNN pattern for placement and using device merging, abutment and alignment technique simultaneously. Two cell (MTIP3&IP3) are used to demonstrate the effectiveness of approach. Moreover, the proposed method generates more area-efficient transistor placements than the conventional method. In experiment we applied PN and PNN pattern for placement of devices with the device merging and abutment technique to attain the results for MTIP3 and IP3 cell 6.5025umsq and 3.114umsq respectively. Result shows that the area of IP3 cell is improved by 50%.

2011 Annual IEEE India Conference, 2011

In this paper electric power generation from wind is achieved by directly coupling wind turbine t... more In this paper electric power generation from wind is achieved by directly coupling wind turbine to a squirrel cage induction generator without gear box. A matrix converter (MC) is used as an interface between the grid and the generator for direct to grid power injection. For the control of the induction generator voltage and frequency, a cosinusoidal modulation technique for

Natural product communications, 2010

Although a number of chemicals have been isolated from Lantana camara, only a few have been evalu... more Although a number of chemicals have been isolated from Lantana camara, only a few have been evaluated for their biological significance. As part of our drug discovery program for cytotoxic agents from Indian medicinal plants, roots of L. camara L. were chemically investigated, which resulted in the isolation and identification of a cytotoxic agent, oleanolic acid (1b) as a major constituent. Oleanolic acid was converted into six semi-synthetic ester (2-7) and seven amide (8-14) derivatives. The ester derivatives (2-7) showed 3-6 times more selective activity than 1b against the human ovarian cancer cell line (IGR-OV-1), while amide derivatives 8-14 showed 16-53 times more selective activity against the human lung cancer cell line (HOP-62). Structure activity relationship within the ester (2-7) and amide (8-14) derivatives are discussed.

Journal of Atmospheric and Solar-Terrestrial Physics, 2014

ABSTRACT Variation of organic carbon (OC), elemental carbon (EC), water soluble inorganic ionic c... more ABSTRACT Variation of organic carbon (OC), elemental carbon (EC), water soluble inorganic ionic components (WSIC) and major &amp; trace elements of particulate matter (PM10) were studied over Delhi, an urban site of the Indo Gangatic Plain (IGP), India in 2010. Strong seasonal variation was noticed in the mass concentration of PM10 and its chemical composition with maxima during winter (PM10: 213.1±14.9 µg m−3; OC: 36.05±11.60 µg m−3; EC: 9.64±2.56 µg m−3) and minima during monsoon (PM10: 134.7±39.9 µg m−3; OC: 14.72±6.95 µg m−3; EC: 3.35±1.45 µg m−3). The average concentration of major and trace elements (Na, Mg, Al, P, S, Cl, K, CA, Cr, Ti, Fe, Zn and Mn) was accounted for ~17% of the PM10 mass. Average values of K+/EC (0.28) and Cl-/EC (0.59) suggest the influences of biomass burning in PM10, whereas, higher concentration of Ca2+ suggests the soil erosion as possible source from the nearby agricultural field. Fe/Al ratio (0.34) indicates mineral dust as a source at the sampling site, similarly, Ca/Al ratio (2.45) indicates that aerosol over this region is rich in Ca mineral compared to average upper continental crust. Positive Matrix Factorization (PMF) analysis quantifies the contribution of soil dust (20.7%), vehicle emissions (17.0%), secondary aerosols (21.7%), fossil fuel combustion (17.4%) and biomass burning (14.3%) to PM10 mass concentration at the observational site of Delhi.

Aerosol and Air Quality Research, 2010

PM1 (particles having aerodynamic diameter < 1.0 µm) concentrations were measured at a samplin... more PM1 (particles having aerodynamic diameter < 1.0 µm) concentrations were measured at a sampling site inside the Indian Institute of Technology (IIT) Kanpur campus for 11 months from July, 2008May, 2009. The sampling was carried out for all the major seasons of India and a ...