Utility of Parametric Curves in Image Processing Applications

Manish Dixit,Sanjay Silakari 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.7

Image Processing is dealing with images containing lots of points. By Interpolation of these points to form different curves are taken under consideration in this paper. The curve modification and fitting in image processing can use Bezier Curve applications in various ways and by modifying these curves better result are generated. Bezier curve and its applications have vast scope for research in image processing like curve fitting algorithm, pattern recognition and computer aided geometric design. Application of Bezier curve are widely implemented in face detection, smile detection, hand writing and digit recognition which give wide view of Bezier curves. In this paper we go through various concepts and its application which can be used in image processing for providing extra edge in this field.

Face Recognition Using Approximated Bezier Curve and Supervised Learning Approach

Manish Dixit,Sanjay Silakari 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.4

Bezier curve are very strong for variety of application. Specifically in image processing it applies to object recognition, face recognition, and human gait recognition. It also works on fingerprint and other biometric system recognition. This paper presents a work to recognize digital images of human frontal faces using the approximated Bezier curve and an intelligent process of learning using neural network. The main structural features of faces like eye, eyebrows, nose, lips, and Face boundaries are extracted and using minimum of these features face is recognized efficiently.

Automation of Segmentation of MRI Images in the Presence of Intensity Inhomogeneity by the Application of Probabilistic Neural Network

Manish Dixit,Amit Singh Chauhan,Sanjay Silakari 보안공학연구지원센터 2015 International Journal of Bio-Science and Bio-Techn Vol.7 No.4

This paper presents a different approach by employing probabilistic neural network (PNN) with level set method for segmentation of intensity inhomogeneous magnetic resonance images (MRI). The input image is classified by PNN, and initialise the image with initial zero level set contours. A cascade approach is used in which after processing image by PNN, the output of PNN is fed into Level Set Method (LSM) Algorithm. The LSM is usedto perform the segmentation and to estimate bias field.

Solvent Free N-Heterocyclization of Primary Amines to N-Substituted Azacyclopentanes Using Hydrotalcite as Solid Base Catalyst

Manish Dixit,Manish Mishra,P.A. Joshi,D.O. Shah 대한화학회 2012 Bulletin of the Korean Chemical Society Vol.33 No.5

An ecofriendly catalytic route for selective synthesis of N-substituted azacyclopentanes, nitrogen-containing heterocyclic intermediates for many bioactive compounds, was established by carrying out N-heterocyclization (di N-alkylation) of primary amines with 1,4-dichloro butane (as dialkylating agent) using catalytic amount of hydrotalcite as solid base catalyst. The hydrotalcite was found to be efficient solid base catalyst for di Nalkylation of different primary amines (aniline, benzyl amine, cyclohexyl amine and n-butyl amine) giving 82 to 96% conversion (at optimized reaction condition) of 1,4-dichloro butane and > 99% selectivity of respective N-substituted azacyclopentanes within 30 min. under solvent free condition. The reaction parameters significantly influence the conversion of 1,4-dichloro butane to N-substituted azacyclopentanes. The nature of substituent present on amino group affects the reactivity of amine substrates for di N-alkylation reaction with 1,4-dichloro butane. The 1,4-dichloro butane was found to be highly reactive alkylating agent for di Nalkylation of amines as compared to 1,4-dihydroxy butane. The reusability of the catalyst and its chemical stability in the reaction was demonstrated.

Experimental estimate of Nγ values and corresponding settlements for square footings on finite layer of sand

Dixit, Manish S.,Patil, Kailas A. Techno-Press 2013 Geomechanics & engineering Vol.5 No.4

Any structure constructed on the earth is supported by the underlying soil. Foundation is an interfacing element between superstructure and the underlying soil that transmits the loads supported by the foundation including its self weight. Foundation design requires evaluation of safe bearing capacity along with both immediate and long term settlements. Weak and compressible soils are subjected to problems related to bearing capacity and settlement. The conventional method of design of footing requires sufficient safety against failure and the settlement must be kept within the allowable limit. These requirements are dependent on the bearing capacity of soil. Thus, the estimation of load carrying capacity of footing is the most important step in the design of foundation. A number of theoretical approaches, in-situ tests and laboratory model tests are available to find out the bearing capacity of footings. The reliability of any theory can be demonstrated by comparing it with the experimental results. Results from laboratory model tests on square footings resting on sand are presented in this paper. The variation of bearing capacity of sand below a model plate footing of square shape with variation in size, depth and the effect of permissible settlement are evaluated. A steel tank of size $900mm{\times}1200mm{\times}1000mm$ is used for conducting model tests. Bearing capacity factor $N_{\gamma}$ is evaluated and is compared with Terzaghi, Meyerhof, Hansen and Vesic's $N_{\gamma}$ values. From the experimental investigations it is found that, as the depth of sand cushion below the footing ($D_{sc}$) increases, ultimate bearing capacity and settlement values show an increasing trend up to a certain depth of sand cushion.

Solvent Free N-Heterocyclization of Primary Amines to N-Substituted Azacyclopentanes Using Hydrotalcite as Solid Base Catalyst

Dixit, Manish,Mishra, Manish,Joshi, P.A.,Shah, D.O. Korean Chemical Society 2012 Bulletin of the Korean Chemical Society Vol.33 No.5

An ecofriendly catalytic route for selective synthesis of $N$-substituted azacyclopentanes, nitrogen-containing heterocyclic intermediates for many bioactive compounds, was established by carrying out $N$-heterocyclization (di $N$-alkylation) of primary amines with 1,4-dichloro butane (as dialkylating agent) using catalytic amount of hydrotalcite as solid base catalyst. The hydrotalcite was found to be efficient solid base catalyst for di $N$-alkylation of different primary amines (aniline, benzyl amine, cyclohexyl amine and n-butyl amine) giving 82 to 96% conversion (at optimized reaction condition) of 1,4-dichloro butane and > 99% selectivity of respective $N$-substituted azacyclopentanes within 30 min. under solvent free condition. The reaction parameters significantly influence the conversion of 1,4-dichloro butane to $N$-substituted azacyclopentanes. The nature of substituent present on amino group affects the reactivity of amine substrates for di $N$-alkylation reaction with 1,4-dichloro butane. The 1,4-dichloro butane was found to be highly reactive alkylating agent for di $N$-alkylation of amines as compared to 1,4-dihydroxy butane. The reusability of the catalyst and its chemical stability in the reaction was demonstrated.

An Exhaustive Survey on Nature Inspired Optimization Algorithms

Manish Dixit,Nikita Upadhyay,Sanjay Silakari 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.4

Human being are greatly inspired by nature. Nature has the ability to solve very complex problems in its own distinctive way. The problems around us are becoming more and more complex in the real time and at the same instance our mother nature is guiding us to solve these natural problems. Nature gives some of the logical and effective ways to find solution to these problems. Nature acts as an optimizer for solving the complex problems. In this paper, the algorithms which are discussed imitate the processes running in nature. And due to this these process are named as “Nature Inspired Algorithms”. The algorithms inspired from human body and its working and the algorithms inspired from the working of groups of social agents like ants, bees, and insects are the two classes of solving such Problems. This emerging new era is highly unexplored young for the research. This paper proposes the high scope for the development of new, better and efficient techniques and application in this area.

Physico-chemical and catalytic properties of Mg–Al hydrotalcite and Mg–Al mixed oxide supported copper catalysts

Manish Dixit,Manish Mishra,P.A. Joshi,D.O. Shah 한국공업화학회 2013 Journal of Industrial and Engineering Chemistry Vol.19 No.2

The Mg–Al hydrotalcite (HT) and Mg–Al mixed oxide supported copper catalysts containing 3–3.5 wt.%copper in finely dispersed form were synthesized and characterized. The effect of support nature on physico-chemical and catalytic properties of supported copper species were studied. The loading of copper on the supports was observed to be influencing the surface acidic, basic and reducibility properties, and catalytic behavior in dehydrogenation of benzyl alcohol. The high basicity and intercalated copper ions in Mg–Al hydrotalcite supported copper sample showed multifunctional activity in catalytic transformations of alcohols (primary, secondary and aromatic alcohols).

A Review on Modified Image Enhancement Applications

Mahendra PS Kuber,Manish Dixit 보안공학연구지원센터 2014 International Journal of Signal Processing, Image Vol.7 No.5

The aim of image enhancement is to or to provide ‘better’ input for other improve the interpretability or perception of information in images for human viewing automated image processing techniques. Various Histogram Equalization techniques like CHE, GHE, BBHE, DSIHE, RMSHE and Multi-HE techniques are used for processing the image input to enhance its output. This paper provides a review over the modification of the brightness preserving dynamic histogram equalization technique to improve its brightness preserving and contrast enhancement abilities while reducing its computational complexity. There are many modified technique related to brightness preserving dynamic Histogram Equalization that uses statistics of digital images for their representation and processing are discussed here. Representation and processing of images in the spatial domain enables the technique to handle the inexactness of gray level values in a better way, resulting in improved performance. This algorithm enhances image contrast as well as preserves the brightness very effectively. Some images are not available to good quality, so these algorithms are used for image enhancement to improve the quality of the image.

A Review on Network Intrusion Detection System Using Open Source Snort

Sakshi Sharma,Manish Dixit 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.4

In the present scenario most of the organization depends on the internet for their communication, storage and protection of their valuable data and other internal resources from the unauthorized access as the importance of internet is increasing rapidly the chances of attacks also increases in the ratio. Intrusion Detection System plays a very important role in network security. Its main role in the network is to help computer system to create and deal with network attacks. An IDS acts as a key component to ensuring the safety of any network or system on which it runs. IDS works on the concept of investigating all the incoming packets for the detection of any malicious activity. This is a survey paper on the various enhancements over the decades on IDS. Snort is a lightweight and open source software which used signature based IDS. In the survey, we used BASE for providing graphical interface for displaying the result. Its used world widely in Intrusion Detection and Prevention.