Dhirendra S Mishra

• B.E., M.E., Ph.D. Computer Engineering
• Professor at Narsee Monjee Institute of Management Studies (Deemed -to be University)

Users in the new age have countless choices of movies to watch, which creates the need for recommendation algorithms that will suggest a list of the best movies. The Recommendation algorithms will help users select the best movie to watch based on their personal choices and movie features. The first challenge among researchers is to find the most s...

The paper has used MovieLens dataset for purpose of experimentation. The studied evaluation methods consider both quantitative and qualitative aspects of algorithm with many evaluation parameters like mean squared error (MSE), root mean squared error (RMSE), Test Time and Fit Time are calculated for each popular recommender algorithm (NMF, SVD, SVD...

The advent of the information age has led tothe availability of overwhelming choices of products to userswhich create need of various Recommendation Systems (RS). Recommendation System belongs to the methods of InformationRetrieval, Data Mining and Machine Learning algorithms. Multifaceted Recommendation System Engine (MF-RISE) helpthe users to get...

In this digital era, face recognition system plays a vital role in almost every sector. Face recognition is one of the most implemented biometrics across various different fields. Classroom attendance check is a contributing factor to student participation and the final success in the courses. Every institute follows their own way for taking attend...

Distributed Denial of Service (DDoS) attacks continue to harm servers using intense wars against popular ecommerce and content websites. The short term and long term types of popular DDoS attacks can be detected, prevented and mitigated using the proposed novel Qualified Vector Match and Merge Algorithm (QVMMA) in real time. 14 feature components a...

Quality control unit of fabric industry looks for the effective defect detection methodology. The research is required to be done in this area to develop such solution. Various models based on combination of suitable feature extraction, selection and classification approaches need to be experimented out for the same. This paper attempts to experime...

The field of information security plays an important role in education, IT, health domain, etc. Much research has been carried out in order to secure data in hardware, on the cloud, and during transmission over the network. A secure data transmission and securing the stored data is still taken as one of the concerned areas. Cloud-based SIEM is used...

Mental disorder is becoming one of the major health issues in society today. (WHO) depression will be the leading mental disorder all over the world by 2030. The timely prediction of such disorders is very essential for maintaining the health of human beings. These mental disorders are associated with different symptoms, some of these symptoms are...

Currently, digital images are widely used in different applications to represent distinguishable contents. Also, diagnosing diseases using medical images became vital and crucial and if the data in these images are liable for unauthorized usage, this may lead to severe problems. The security of these data has become an urgent and serious problem an...

Management Zone Delineation (MZD) is a process of identifying homogenous parts of the farm and labeling them as per the soil nutrient distribution and fertility of an individual part. The process is carried out to understand the within-field variability, to make management decisions such as application of fertilization and physical treatment to the...

Use of Precision Agriculture (PA) is the need of an hour to enhance the crop productivity to meet the increasing demand for food supply. Clustering algorithms have been proven to be the best suitable ones to delineate the management zones (as per soil fertility) in PA. Management zones can be treated as sub-fields, which are homogeneous in soil phy...

The advent of the internet age has led to the availability of overwhelming choices of products and services. Now, it’s a responsibility of service provider to filter, prioritize and efficiently deliver only relevant information to the customer. The Internet has served as a platform for businesses which can produce better results as compared to the...

Building efficient Image Features with optimal dimension and high discriminative power is important in processing the digital information hidden inside the images. Image Retrieval systems use the feature vectors to retrieve similar images based on feature vector similarity. Image Feature Vector generation is important step in CBIR. Most of the CBIR...

Image fusion is the process of merging multiple images to generate a single image called 'fused image' which is more informative than input images in terms of human perception and machine processing. In medical applications, images of the same or different modalities are fused to generate a new image which helps clinicians in reliable and accurate...

Feature extraction of images are crucial in image retrieval systems. Many approaches are stated and proved by researchers for image feature extraction and processing. Research is being done from low-level feature extraction toward high-level feature extraction. This paper discusses the feature extraction from the DFT transformed color images in mul...

Multiple medical images of different modalities are fused together to generate a new more informative image thereby reducing the treatment planning time of medical practitioners. In recent years, wavelets and deep learning methods have been widely used in various image processing applications. In this study, we present convolutional neural network...

Diabetic Retinopathy is one of the major eye complications which occurs because of diabetes. The main reason behind this disease is damage to the blood vessels and due to which lack of oxygen supply in retina. This paper is an extension work of the previously done This paper categorizes the severity levels of diabetic retinopathy by using clusterin...

Management zone delineation k-mean algorithm FCM algorithm PFCM algorithm LBG algorithm A B S T R A C T For enhancing the quality and the productivity of the crop, usage of modern tools and techniques has become inevitable. One of such technique is Precision Agriculture (PA). PA collects and controls agronomic information to furnish actual nutrient...

Background: For diagnosis, sub-categorization and follow up of Acute Leukemia (AL), phenotypic analysis using flow cytometry is mandatory. Material and methods: We retrospectively analyzed immunophenotypic data along with cytogenetics/molecular genetics data (wherever available) from 631 consecutive cases of AL diagnosed at our flow cytometry labor...

For enhancing the quality and the productivity of the crop, usage of modern tools and techniques has become inevitable. One of such technique is Precision Agriculture (PA). PA collects and controls agronomic information to furnish actual nutrient needs to parts of fields rather than average needs to complete fields. These parts of fields are manage...

Image Retrieval systems highly rely on the image signatures stored in database. Constructing Image signatures with optimal size and accurate representation of image is most interesting challenge here. High level image features like object and their characteristic are useful in sentiment image analysis but faces the limitations of domain specific fe...

Studies on complete clinico-pathological and cytogenetic profile have been reported mostly from the west with only few from Asian countries. We present data of 190 MDS patients diagnosed from July 2011 to January 2017 at our center. The median age of the study population was 62 years with male predominance (M: F ratio 1.6: 1). Compared to the wes...

Distributed Denial of Service (DDoS) attacks continue to instigate intense wars against popular ecommerce and content websites. One in five companies worldwide become a DDoS attack victim. Such attacks remain active causing prolonged damage from a few hours to several weeks. Deccan Chronicle34,35, dated April 29, 2015, reported above statement as c...

Introduction: EGFR mutation and EML4-Alk translocation routinely guides the usage of EGFR-TKI and Alk-inhibitors in clinical practice for metastatic lung cancer. We report the prevalence of EGFR mutations and EML4-ALK fusions in EGFR mutation-negative cases of NSCLC (adenocarcinoma) in eastern India. Methods: EGFR mutation testing (exons 18–21) was...

Image Fusion is used to retrieve important data from a set of input images and put it into a single output image to make it more informative and useful than any of the input images. It improves quality and applicability of data. Quality of the fused image depends on the application. Image fusion is widely used in intelligent robots, stereo camera f...

With the advent and augmentation of image processing, image fusion has emerged as a topic of great importance in many research areas such as automatic object detection, medical imaging, computer vision, remote sensing, robotics, military and law enforcement, image classification and so on. This dissertation discusses the basic concepts of image fus...

Palm-Vein Biometric Authentication system is a physiological pattern recognition technique that uses the vein patterns of an individual's palm for providing authentication. This paper presents a comprehensive comparative study of basic transforms: PCA (Principal Component Analysis), DCT, DST, Walsh-Hadamard and Slant for Palm Vein recognition. Thes...

Real-time quality inspection of capsules manufacturing in pharmaceutical applications is an important issue from the point of view of industry productivity, competitiveness and quality aspect of the product. Pharmaceutical products are susceptible to several common flows like incorrect size or color, surface defect, missing, broken capsules. To gua...

Optimization of Bandwidth is the open ending issue/challenge. Ideally it can be achieved by compressing data of Multi-media applications to its maximum extend. This paper proposes the technique with Orthogonal Wavelet Transform (OWT) designed using Hadamard and Walsh transform. These techniques are applied on half tone image/Video data as Hybrid CO...

Loading-unloading of goods is an essential task that is undertaken at every industrial site. Mines witness a large scale transportation activity. As the volume of such goods is large in size, the mode of transport used for delivery is usually dumpers. Huge cranes load the dumpers at one location with some material and then the dumper moves to the d...

This paper uses the sectorization method on DFT and Hartley transforms along with sectorization of the DFT and Hartley wavelets over 3 different color spaces namely RGB, LUV and YCbCr. A comparison and evaluation of these methods is carried out and the results are drawn based on the retrieval rates of each class of images from the database. Three d...

Natural language processing is a branch of computer science and artificial intelligence which is concerned with interaction between computers and human languages. Natural language processing is the study of mathematical and computational modeling of various aspects of language and the development of a wide range of systems. These includes the spoke...

Content Based Image Retrieval is the application of computer vision techniques to the image retrieval problem of searching for digital images in large databases. The method of CBIR discussed in this paper can filter images based their content and would provide a better indexing and return more accurate results. In this paper we wouldbe discussing:...

A hash function is any well-defined procedure or mathematical function that converts a large, possibly variable-sized amount of data into a small datum, usually a single integer that may serve as an index to an array. The values returned by a hash function are called hash values, hash codes, hash sums, or simply hashes. Hash functions are mostly us...

This paper mainly discusses the use of discrete cosine transform and its wavelet for feature extraction in the application of content based image retrieval. The proposed method has been experimented based on the concept of sectorization of the transformed images using DCT and DCT Wavelet. For the detailed study of the behavior of the method the sec...

This paper proposes the new Walsh Wavelet generation and its use in the Content Based Image Retrieval. The Walsh Wavelet has been used to transform the images and sectored it into various sector sizes to generate the feature vectors of those images. The transformation of all images in the database has been tried three fold i.e. column wise, row wis...

This issue includes the following articles; P1151048379, P.Thangavel and, S.Gopinathan, "Image Enhancement System Using Wavelet Transform and a Non-Linear Piecewise Filter" P1151034224, A. Benkuider, A. Aarab, "An Improved Watermarking Scheme Images based on the FABEMD" P1151041315, H. B.Kekre and Dhirendra Mishra, "Full DCT Sectorization for Featu...

This paper introduces a novel idea of Binary Pattern observation of column wise and Row wise Walsh transformed color images for feature vector generation. The density distribution of Sal, Cal components of Binary Pattern and its mean values are considered as two different approaches for the same. The proposed method experimented with and without au...

This paper presents the Innovative idea of Sectorization of Haar Wavelet transformed images and Kekre’s Wavelet Transformed images to extract features for image retrieval. Transformed images have been sectored into 4,8,12 and 16 sectors. Each sector produces the feature vector component in particular sector size. Thus the feature vector size increa...

We have introduced a novel idea of sectorization of DCT-DST plane of column wise transformed color images and feature vector generation with and without augmentation of extra row components. We have proposed augmentation of average value of zeroeth row component of DCT plane and absolute values of highest row components of DST plane column transfor...

The concept of sectorization of the transformed images for CBIR is an innovative idea. This paper introduces the concept of Wavelet generation for Discrete sine transform (DST).The sectorization of the DST transformed images and the DST wavelet transforms has been done into various sector sizes i.e.4,8,12, and 16. The transformation of the images i...

We have introduced a novel idea of sectorization of complex Full Walsh transformed components. In this paper we have proposed two different approaches along with augmentation of mean of zero and highest row components of row transformed values and mean of zero- and highest column components of Column transformed values for feature vector generation...

The concept of sectorization of the transformed images for CBIR is an innovative idea. This paper introduces the concept of Wavelet generation for Discrete sine transform (DST).The sectorization of the DST transformed images and the DST wavelet transforms has been done into various sector sizes i.e.4,8,12, and 16. The transformation of the images i...

An innovative idea of sectorization of Full Kekre's Wavelet transformed (KWT)[1] images for extracting the features has been proposed. The paper discusses two planes i.e. Forward plane (Even plane) and backward plane (Odd plane). These two planes are sectored into 4, 8, 12 and 16 sectors. An innovative concept of sum of absolute difference (AD...

We have introduced a novel idea of sectoring of DCT-DST plane of Row wise transformed images and feature vector generation with and without augmentation of zeroth column component of DCT transformed image and the last column component of DST transformed image. Two similarity measures namely sum of absolute difference and Euclidean distance are used...

We have introduced a novel idea of sectorization of DCT transformed components. In this paper we have proposed two different approaches along with augmentation of mean of zero and highest row components of row transformed values in row wise DCT transformed image and mean of zero- and highest column components of Column transformed values in column...

We have introduced a novel idea of conceiving complex Walsh transform for sectorization of transformed components. In this paper we have proposed two different approaches for feature vector generation with consideration of all sal components and all cal components separately. Both these approaches are experimented with the extra components of zero-...

In this paper we have proposed two different approaches for feature vector generation with absolute difference as similarity measuring parameter. Sal-cal vectors density distribution and Individual sector mean of complex Walsh transform. The cross over point performance of overall average of precision and recall for both approaches on all applicabl...

This paper presents the idea of using sal cal density distribution in complex Walsh transform sectors to generate the feature vector for content based image retrieval This paper compares the performance of 8 , 12 and 16 sectors of Walsh Transform. The density distribution of real (sal) and imaginary (cal) values of Walsh sectors in all three color...

This paper presents the idea of using Walsh transform to generate the feature vector for content based image retrieval This paper compares the performance of 4, 8 and 12 sectors of Walsh Transform. The meanof real and imaginary values of Walsh sectors in all three color planes are considered to design the feature vector. The algorithm proposed here...

In this paper we are using Fast Fourier Transform to generate the feature vector which considers the mean real and mean imaginary parts of complex numbers of polar coordinates in frequency domain. The method proposed here considers 12 mean values of 6 upper half sectors real and imaginary parts of each R, G and B components of an image. The algorit...

This paper presents the method developed to search and retrieve similar images from a large database. The Fourier transform is used to generate the feature vectors based on the mean values of real and imaginary parts of complex numbers of polar coordinates infrequency domain. 8 mean values of 4 upper half sectors real and imaginary parts of each R,...

The work of this paper presents the new idea of using Walsh transform to generate the feature vector for content based image retrieval. The complex Walsh transform is conceived by multiplying Sal functions by j and combining them with Cal functions of the samesequency. The angle is calculated by taking tan inverse of sal/cal in the range of 0 to 36...

We have introduced a novel idea of considering complex Walsh transform for sectorization of transformed components. In this process the first coefficient of zero-cal and the last coefficient highest-sal are not used. In this paper we have proposed two different approaches along with the extra components of zero-cal and highest-sal for feature vecto...

We have introduced a novel idea of sectorization of DST transformed components. In this paper we have proposed two different approaches along with augmentation of mean of zero and highest row components of row transformed values in row wise DST transformed image and mean of zero- and highest column components of Column transformed values in column...

Content Based Image Retrieval is a way of computer viewing technique used to retrieve digital images from a huge database. In this paper we have first calculated the feature vector column-wise and row-wise separately. After this we have concatenated the feature vectors of column-wise and row-wise. To evaluate the performance of the proposed method...

CBIR(Content Based Image Retrieval System) uses the visual information of an image to give the relevant images as the output. In this paper, we have implemented CBIR by the method of generating Feature Vector using Plane Sectorization. The plane of the image is sectorized in four different ways, namely: 4 sectors, 8 sectors, 12 sectors and 16 secto...