PANKAJ BHAMBRI (114 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. pages cm.

Zustand: New.

Paperback. Zustand: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.

Paperback. Zustand: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware -Research Paper (undergraduate) from the year 2018 in the subject Engineering - Computer Engineering, grade: 9.8, University of the Punjab (Guru Nanak Dev Engineering College, Ludhiana), course: Masters of Technology, language: English, abstract: The traditional test extraction suffers from the drawback of size style and rotation of text arose on the images. Thus the scanning device needs to focus on the textual region of the images. Which is going to involve the person who is using the application software This can be automated using algorithm which is written and designed in such a way so that the text area on the image will be easily identified either at some orientation or at variable sizes. In the presented work, the characters are segmented by using the pixel neighborhood technique and resized to a 32x32 block.The centre of gravity of the different characters is computed by using the first order moments. The contour of the pixel is extracted by means of Robert¿s operator. The radii from centre of gravity to contour pixel and are arranged in descending order. If the same character is rotated about its centre of gravity by some angle, the same radii are extracted and are arranged in descending order.It is observed that the first few radii are same for the same character if rotated at any angle. This gives the rotation invariant character recognition. Further, the characters are normalized with respect to size by dividing the radii by mean radius. The location invariance is obtained by use of centre of gravity. In the proposed algorithm, the different in-variances are considered into the features extraction process such that the normalization of characters is done in all respect. Once the features of different characters are set and are constant for the same object in either form, then that features can be used for character identification purposes.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Research Paper (undergraduate) from the year 2018 in the subject Engineering - Computer Engineering, grade: 9.8, University of the Punjab (Guru Nanak Dev Engineering College, Ludhiana), course: Masters of Technology, language: English, abstract: The traditional test extraction suffers from the drawback of size style and rotation of text arose on the images. Thus the scanning device needs to focus on the textual region of the images. Which is going to involve the person who is using the application software This can be automated using algorithm which is written and designed in such a way so that the text area on the image will be easily identified either at some orientation or at variable sizes. In the presented work, the characters are segmented by using the pixel neighborhood technique and resized to a 32x32 block.The centre of gravity of the different characters is computed by using the first order moments. The contour of the pixel is extracted by means of Robert's operator. The radii from centre of gravity to contour pixel and are arranged in descending order. If the same character is rotated about its centre of gravity by some angle, the same radii are extracted and are arranged in descending order.It is observed that the first few radii are same for the same character if rotated at any angle. This gives the rotation invariant character recognition. Further, the characters are normalized with respect to size by dividing the radii by mean radius. The location invariance is obtained by use of centre of gravity. In the proposed algorithm, the different in-variances are considered into the features extraction process such that the normalization of characters is done in all respect. Once the features of different characters are set and are constant for the same object in either form, then that features can be used for character identification purposes.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2017 in the subject Computer Science - Bioinformatics, grade: 90, Punjabi University (Guru Nanak Dev Engineering College, Ludhiana), course: Masters of Technology, language: English, abstract: Computational screening of databases has gained immense popularity in the pharmaceutical research and development. To do such screening tests the Virtual Screening technique is used. It uses computer-based algorithms and methods which takes into consideration a lot of parameters to discover new ligands on the basis of biological structures. The process of discovering new drugs has now become a crucial factor for all the Pharmaceutical Industries. Acceleration of Virtual screening would provide an edge to save the resources as well as the time required. Here, the effectual implementation of the parallel architecture of CUDA and GP-GPU for the acceleration of Virtual screening has been analyzed. The implementation is in CUDA programming models. This implementation tries to take maximum advantage of a GPU to give a better solution in the process of drug discovery. The result which would be higher speedup when implemented on CUDA GPU architecture to provide the better solution considering performance & cost ratio.

Zustand: New.

Paperback. Zustand: Brand New. 258 pages. 10.00x7.00x10.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware -This project on consumer perception towards various bikes is analyzed. It clearly indicates that all majority of people use the bikes and very less number of people do not use the bikes. Further, people mostly use Pulsor, Karizma and prefer to use these products. Bikes are the effective mode of transportation and people are more satisfied with the bikes as well as the performance of products. They also wants improvements in information on label of quality, price of the bikes etc. Demand for the bikes will also increase in the coming time. For the companies of organization of bikes is considered as beneficial segment for all aspects provided that the companies provide better quality products and competitive price. Last but not the least important point is that the coming time, people will save time, money and resources used for prescription making from dealer. So, it may be possible in the coming time that the companies modify the bikes.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.

Taschenbuch. Zustand: Neu. Inventing a Recognition System to Rotate, Scale and Translate Invariant Characters | Pankaj Bhambri | Taschenbuch | 52 S. | Englisch | 2018 | GRIN Verlag | EAN 9783668719309 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Neuware -Crop production analysis is one of the applications of prediction analysis. This study is related to paddy production. In the previous research work, the SVM and KNN algorithm is implemented to analyze prediction. To improve the accuracy of the paddy production, the hybrid classifier will be designed based on K-mean clustering and Naive Bayes classifier. The presented and earlier algorithms will be applied in python and it is expected that accuracy will be improved with a reduction in execution time. The performance of SVM, KNN, and Naive Bayes is compared for the wheat production prediction. Naive Bayes is the best classifier for the wheat production prediction as per the obtained analytic results.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -The network built via Internet of Things allows sensor nodes to join or leave as per the demand due to the decentralized nature of sensor nodes. The energy consumption is one of the key challenges of such networks. Limited size and remotely deployed sensing nodes are the main reasons of this challenge. The partition of complete network is carried out in many clusters of finite size and cluster heads are chosen cluster-wise based on distance and energy. The Ad-hoc On Demand Vector routing protocol is used for the path establishment between each level of the network. The proposed improvement with two way hierarchal protocol and cache method reduces the routing overhead which in turn improves the energy efficiency of Wireless Sensor Networks. MATLAB is used for this research work implementation and the results are analyzed in concern to various parameters.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -The primary goal of an adhoc network routing protocol is to meet the challenges of the dynamically changing topology. Therefore, it is very much essential to make an efficient route between any two nodes with minimum routing overhead and bandwidth consumption. These networks consist of constantly moving nodes running on limited batteries. This research focused on increasing its network lifetime. Also, the proposed technique is presented which is a modification to existing AODV-CS technique. In this research work, the MANET characteristics and challenges are highlighted. Also, the previously mentioned categories of routing protocols, proactive and reactive, are explored. Moreover, a comparison is conducted between three protocols: namely, DSDV, DSR, and AODV in terms of various features and their performance. Finally, a critical analysis is performed. In terms of optimization, the Cuckoo Search Algorithm and Firefly Optimization Technique are used.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch.

Zustand: New.

Paperback. Zustand: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock.

Paperback. Zustand: Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock.

Taschenbuch. Zustand: Neu. Design of Paddy Crop Production Technique | Using K-Mean, Naive Bayes, KNN and SVM Classifiers | Pankaj Bhambri | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202683302 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Hybrid Classification Model For The Reverse Code Generation | Software Engineering | Pankaj Bhambri (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9786202683432 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Paperback. Zustand: Brand New. 296 pages. 9.18x6.12x9.21 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware -Edge Detection leads to reducing the search space and time required for processing. There are many existing edge detection techniques but still many practical issue exists in this field. Edge is a set of those pixels whose grey have step change/ rooftop change and it exists between objects & its background, onject & object, region & region and between element & element. These edge detection techniques do not work well upon these images. Many edge detection algorithms are used to find boundaries in images. A significant problem with mammography is the variability of diagnosis among radiologist and computer aided diagnosis (CAD) methods that consistently highlight region on mammograms that may warn further examinations. One of the first step in CAD is the segmentation of the image into background and the breast. This has the advantage of further simplifying the processing of image (by eleminating the background) and also provides as a reference for the alignment of the views when two viewes are being compared. Knowledge of the breast edge also sometimes identifies large masses that have distorted the outline of the breast.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -Medical Image Fusion has been used to derive the useful information from multimodality medical image data. The idea is to improve the image content by fusing images like CT and MRI image, so as to improve more information to the doctor and clinical treatment planning system. Despite the significant research conducted on this topic and many algorithms have been developed for the image fusion, but the development of an efficient image fusion method is still a big challenge for the researchers. In the Present work, New Efficient Method is proposed for Image Fusion. The proposed method is developed using Discrete Wavelet Transform and it involves region based fusion rules to optimize the image pixel values to be fused togather. The proposed method is compared with both qualitatively as well as quantitatively with the other fusion methods. After that the resultant images are validated using Phantom Images as well as Clinical Testing. The Experimental results show that the proposed method is better than other multi model image fusion methods and increases the contrast of the fused image thereby preserving the detail features.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -Bioinformatics is an upcoming area resulting from the combination of biotechnology and computer science. All the findings in the bioinformatics are stored and utilized with the help of computer science to get the constructive results and elaborations. Phylogenetic trees are constructed from the molecular sequences of the different living organisms. These are required to evaluate the relation between the different species and also the different time gaps from the actual origin. Sequence alignment is one of the applications of the bioinformatics. Multiple Sequence Alignment is used to align the biological sequences along a column. Multiple sequence alignment arranges the sequences in such a way that evolutionarily equivalent positions across all sequences are matched. The process starts by generating distances of multiple alignments among the pairs of different species, then a phylogenetic tree is formulated. Further, taking different data sets, bootstrapping of phylogenetics and consensus trees are being shown. Web based FASTA sequences are considered as input.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -The research in bioinformatcs has accumulated large amount of data. It is the study of Bio-molecules information. Bioinformatics offers different knowledge discovery concepts for molecular biology and has many practical applications. DNA sequence alignment is one of the applications of the bioinformatics. Multiple sequence alignment is used to align the biological sequences along a column. As the process generates distances of multiple alignments among the pairs of different species, phylogenetic tree is being formulated. Multiple sequence alignment arranges the sequences in such a way that evolutionarily equivalent positions accross all sequences are matched. Alignement of substitutions made into two categories: Jukes Cantor Method and Kimura's Method. Jukes Cantor Method and Kimura's Method are used in the present work for constructing phylogenetic tree. These trees are based on the two scoring techniques: UPGMA (Un-weighted Pair Group method with Arithmatic Mean) and NJ (Neigbor Joining). Advanced Kimura's method is proposed which supercedes the traditional methods. Web based FASTA sequences are considered as input and the results are compared for all the three models.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -The term bioinformatics is related to study of biomolecules information. The informatics techniques are applied to understand and organize the information associated with the molecules. Bioinfromatics is the management of information system for molecular biology and has many practical applications. GOR method based on information theory and bayesian statistics is quite successful in its accuracy of secondary structure prediction. Probabilities of three confirmational states are predicted for each residue in the sequence with the help of GOR method and this information can be used for furthher analysis. These results are acheived when prections are made on single sequence. The developement method is highly stable and consistent when tested against the different DSSP secondary structure reduction methods conducted in this research. Information regarding the secondary structure elements such as helix, sheet and coil that form for a particular sequence of amino acid is distributed across whole window. This information is retrieved from database of 267 proteins.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -Data Mining Model for Protein Sequence Alignment Bioinformatics is the Science of managing, mining and interpreting information from biological sequences and structures. It is an inter-disciplinary research area which may be defined as the interface between biological and computational scineces. This scientific field deals with the computational management of all kinds of biological information. This information can be on genes and their prodicts, whole organisms, or even ecological systems. Over the past few decades, major advances in the field of molecular biology coupled with advances in genomic technologies have led to an explosive growth in the biological information generated by the scientific community. During the last few years, bioinformatics has been overwhelmed with increasing floods of data both in terms of volumes and in terms of new databases and new types of data. This deluge of genomic information has in turn, led to an absolute requirement for computerized databases to store, organize and and index the data and for specilized tools to view and analyze the data.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -Past two decades have seen a dramatic increase in the amount of information or data being stored in electronic format. Data storage has been easier as the accessibility of large amount of computing power is available at low cost. The research in bioinformatics has accumulated large amount of data. As the hardware technology is advancing, the cost of storage is decreasing. In the present work, data mining solution is provided for the problem of protein sequence alignment. Different formats of sequences are studied and plain test format is chosen for the problem of consideration. Scoring matrix accesses the replacement of one amino acid by another, accepted by natural selection. The replacement can be due to the result of two distinct processes. i) Occurance of mutation in the portion of the gene template producing one amino acid of a protein. ii) Acceptance of the mutation by the species (similar function). PAM (Accepted Point Mutations) and BLOSUM (Blocks database) are the scoring matrices that are used for the different computations. BLOSUM-50 matrix is used for the problem under consideration. Global and local alignments are predicted alongwith the alignement score.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -The goal of segmentation is to simplify and change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. The result of image segmentation is a set of segments that collectively covers the entire image, or a set of contours extracted from the image. Each of the pixels in a region are similar with respect to some characteristics or computed properly, such as color, intensity or texture. Adjacent regions are significantly different with respect to same characteristics. The technique usually adopted for improving the quality of the images by segmenting the images into various regions. Many segmentation algorithms have been developed over the years. The proposed algorithm has been implemented on a set of different JPEG images. In the proposed algorithm, firstly an image is selected and then it is segmented and then the segmented image is compared with the original image.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch.

Taschenbuch. Zustand: Neu. An Energy Efficient Adhoc On-Demand Distance Vector Protocol for IoT | Pankaj Bhambri (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786205488218 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.