Global Journal of Computer Science and Technology (976)
GJCST
Children categories
Texture Image Segmentation using Morphology in Wavelet Transforms
Published In: GJCST Part: F: Graphics & Vision Volume: 17 Issue: 1
One of the essential and crucial steps for image understanding, interpretation, analysis and recognition is the image segmentation. This paper advocates a new segme- ntation scheme using morphology on wavelet decomposed images. The present paper provides a good segmentation on natural images and textures by dividing an image into non overlapping regions, which are homogenous in terms of ...
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Authors V Vijaya KumarRead Journal Click Here
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Page No. 1 to 17
WebGIS based Decision Support System for Disseminating NOWCAST based Alerts: OpenGIS Approach
Published In: GJCST Part: E: Network, Web & Security Volume: 16 Issue: 7
WebGIS is a kind of distributed information system which holds the potential to make geographic information available worldwide. It is cost effective and provides an easy way of disseminating geospatial data. This paper outlines the design and development of a WebGIS based Decision Support System (DSS) for disseminating Nowcasting of Extreme Orographic Rain events generated at regular in...
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Authors Shweta Mishra, Neha SharmaRead Journal Click Here
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Page No. 57 to 64
Telugu Text Categorization using Language Models
Published In: GJCST Part: H: Information & Technology Volume: 16 Issue: 4
Document categorization has become an emerging technique in the field of research due to the abundance of documents available in digital form. In this paper we propose language dependent and independent models applicable to categorization of Telugu documents. India is a multilingual country; a provision is made for each of the Indian states to choose their own authorized language for com...
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Authors Swapna Narala, B. Padmaja Rani, K. RamakrishnaRead Journal Click Here
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Page No. 9 to 14
A Survey on Clustering Techniques for Multi-Valued Data Sets
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 5
The complexity of the attributes in some particular domain is high when compare to the standard domain, the reason for this is its internal variation and the structure .their representation needs more complex data called multi-valued data which is introduced in this paper. Because of this reason it is needed to extend the data examination techniques (for example characterization, discrim...
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Authors Lnc.Prakash K, K.Anuradha, D.VasumathiiRead Journal Click Here
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Page No. 43 to 50
Artificial Intelligence and Mind
Published In: GJCST Part: H: Information & Technology Volume: 16 Issue: 4
According to the absence of any indication in favor of the subjective experience in artificial intelligence simulations including a model with many numbers of neurons and synapses, this should be due to the system structure, not the numbers. This structure may be due to an extra dimension with a different information (quale). While the number of transistors is directly proportional to th...
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Authors Dr. Nergis UstogluRead Journal Click Here
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Page No. 15 to 16
ECARDM: Energy Consumption Aware Route Discovery for Multicasting in Mobile Ad hoc Networks
Published In: GJCST Part: E: Network, Web & Security Volume: 16 Issue: 7
Consideration of energy consumption in the case of wireless ad hoc networks leads to effective reduction of energy consumption by the nodes and increases the lifetime of the batteries for nodes. It is imperative from the existing models that there is significant scope for improvement in the energy-consumption based route discovery models. A model of Fuzzy based marginal energy disbursed ...
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Authors K.Seshadri Ramana,Dr.A.A ChariRead Journal Click Here
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Page No. 49 to 56
Comparative Analysis of MapReduce Framework for Efficient Frequent Itemset Mining in Social Network Data
Published In: GJCST Part: B: Cloud & Distributed Volume: 16 Issue: 3
Social networking sites are the virtual community for sharing information among the people. It raises its popularity tremendously over the past few years. Many social networking sites like Twitter, Facebook, WhatsApp, Instragram, LinkedIn generates tremendous amount data. Mining such huge amount of data can be very useful. Frequent itemset mining plays a significant role to extract knowl...
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Authors Suman Saha, Md. Syful Islam MahfuzRead Journal Click Here
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Page No. 45 to 51
Security in Data Mining- A Comprehensive Survey
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 5
Data mining techniques, while allowing the individuals to extract hidden knowledge on one hand, introduce a number of privacy threats on the other hand. In this paper, we study some of these issues along with a detailed discussion on the applications of various data mining techniques for providing security. An efficient classification technique when used properly, would allow an user to ...
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Authors Niranjan A, Nitish A, P Deepa Shenoy, Venugopal K RRead Journal Click Here
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Page No. 51 to 72
Fast Search Approaches for Fractal Image Coding: Review of Contemporary Literature
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 3
Fractal Image Compression (FIC) as a model was conceptualized in the 1989. In furtherance, there are numerous models that has been developed in the process. Existence of fractals were initially observed and depicted in the Iterated Function System (IFS), and the IFS solutions were used for encoding images. The process of IFS pertaining to any image constitutes much lesser space for recor...
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Authors Srinivasa Rao D, Dr. Subhash Chandra NRead Journal Click Here
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Page No. 37 to 46
Estimation of Missing Attribute Value in Time Series Database in Data Mining
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 5
Missing data is a widely recognized problem affecting large database in data mining. The substitution of mean values for missing data is commonly suggested and used in many statistical software packages, however, mean substitution lead to large errors in correlation matrix and therefore degrading the performance of statistical modeling. The problems arises are biasness of result data bas...
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Authors Swati Jain, Kalpana JainRead Journal Click Here
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Page No. 73 to 76
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Big Data Analysis of Salary Dataset using Hive
Published In: GJCST Part: H: Information & Technology Volume: 16 Issue: 4
One way to understand how a city government works is by looking at who it employs and how its employees are compensated. This data contains the names, job title, and compensation for San Francisco city employees on an annual basis from 2011 to 2014. The analyzed data will be shown in the form of various charts and graphs with respect to 1. Yearly Mean Pay, 2. Mean Pay by Job Type, 3. Pay...
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Authors Ishan FafadiaRead Journal Click Here
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Page No. 17 to 20
Recognition of Cursive Arabic Handwritten Text using Embedded Training based on HMMs
Published In: GJCST Part: D: Neural & AI Volume: 16 Issue: 1
In this paper we present a system for offline recognition cursive Arabic handwritten text based on Hidden Markov Models (HMMs). The system is analytical without explicit segmentation used embedded training to perform and enhance the character models. Extraction features preceded by baseline estimation are statistical and geometric to integrate both the peculiarities of the text and the p...
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Authors Mouhcine RabiRead Journal Click Here
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Page No. 27 to 31
Sentiment Analysis and Opinion Mining from Social Media : A Review
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 5
Ubiquitous presence of internet, advent of web 2.0 has made social media tools like blogs, Facebook, Twitter very popular and effective. People interact with each other, share their ideas, opinions, interests and personal information. These user comments are used for finding the sentiments and also add financial, commercial and social values. However, due to the enormous amount of user g...
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Authors Savitha Mathapati, S H Manjula, Venugopal K RRead Journal Click Here
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Page No. 77 to 90
Evaluation of Features Extraction and Classification Techniques for Offline Handwritten Tifinagh Recognition
Published In: GJCST Part: C: Software & Data Engineering Volume: 16 Issue: 5
This paper presents a review on different features extraction and classification methods for off-line handwritten Amazigh characters (called Tifinagh) recognition. The features extraction methods are discussed based on Statistical, Structural, Global transformation and moments.Although a number of techniques are available for feature extraction and classification,but the choice of an exc...
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Authors Mouhcine Rabi, Mustapha Amrouch, Zouhir MahaniRead Journal Click Here
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Page No. 37 to 42
