International Journal on Future Revolution in Computer Science & Communication Engineering
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    1384 research outputs found

    Spammers Detection on Twitter by Automated Multi Level Detection System

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    Twitter is one of the most well known micro-blogging administrations, which is commonly used to share news and updates through short messages confined to 280 characters. In any case, its open nature and huge client base are every now and again misused via robotized spammers, content polluters, and other not well expected clients to carry out different cyber violations, for example, cyber bullying, trolling, rumor dissemination, and stalking. Likewise, various methodologies have been proposed by specialists to address these issues. Nonetheless, the majority of these methodologies depend on client portrayal and totally dismissing shared communications. In this examination, we present a hybrid methodology for recognizing mechanized spammers by amalgamating network based features with other feature classifications, to be specific metadata-, content-, and association based features. The curiosity of the proposed methodology lies in the portrayal of clients dependent on their communications with their supporters given that a client can dodge features that are identified with his/her very own exercises, yet sidestepping those dependent on the devotees is troublesome. Nineteen distinct features, including six recently characterized features and two re-imagined features, are distinguished for learning three classifiers, in particular, irregular woods, choice tree, Bayesian system, and example pre-handling on a genuine dataset that involves generous clients and spammers. The separation intensity of various feature classifications is additionally broke down, and cooperation and network based features are resolved to be the best for spam identification, though metadata-based features are demonstrated to be the least compelling

    An Experimental Approach for Detecting Brain Tumor from MRI Images using Digital Image Processing Techniques in MatLab

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    The Digital Image Process plays a very important role in Medical Research and processing the MRI images. Using image processing techniques the MRI images can be used to detect and analysis the tumor growing in brain. SAR images are the high resolution images which cannot be collected manually. In this work, we identified the SAR images randomly from web with different region inclusions. The comparative results are generated against the statistical observations obtained for existing and proposed approach. The parameters considered are the mean value, standard deviation, entropy etc. The comparative results show that the method has improved the accuracy of region classification

    The Design of Traceability System for Exporting of Thailand’s OTOP Products

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    This research aims to study an exporting pattern of Thailand’s community enterprises (OTOP product), prototyping an appropriate traceability system of the product in Thailand community enterprise and create the manual of traceability system for community. This research use method in Participatory Action Research (PAR), The system development consist of Thai entrepreneurs who export to abroad, merchant middle man/ export company and abroad customer . The process is based on SDLC standard process. The result of this research is a model of the product exporting from community enterprises, which can be divided into 2 approaches: (1) exports through export company and (2) exports through merchant middleman; also a prototype of product traceability system was developed for Thailand’s community enterprises. The web-based system consists of 6 sections, there are (1) information traceability page, (2) member system, (3) product addition system, (4) label printing system, (5) register system for entrepreneur and (6) super admin system. In this research, the development of product label that supporting for the traceability system also achieved. The satisfaction of users overall satisfaction level is 4.41 of 5 in the good level and the standard deviation is 0.08. The Manual book of traceability system for community products was also created, the satisfaction of users overall satisfaction level is 4.35 of 5 in the good level and the standard deviation is 0.34

    Vectors Space and Module

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    A vector space is a set that is closed under finite vector addition and scalar multiplication. It has scalars with multiplication by complex numbers, rational numbers or any field. In abstract algebra, the fundamental algebraic structure is called as module. In this vector space and module to be same in terms of definition. Module have coefficients in much more general algebraic objects. But when we analysed deeply, they are quite different as discussed in this paper

    A Comparative Study on Brain Tumour Detection Methods Using Image Segmentation

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    Now a day’s image processing is the most challenging and important field. This paper focus on information and methodology to detect, spot and extract tumour from the human brain MRI and CT scan images. Brain tumour detection has some pre-processing steps like grayscale conversion, resizing and noise removal functions, segmentation and morphological operations. To detect and extract the tumour from the brain MRI and CT scan images MATLAB software has been used. The main goal of this paper is to spot the tumour from various brain MRI and CT scan images. This paper tends to find out the best techniques or algorithms for detecting and extraction of brain tumour comparing various image segmentation methods with a intension to attain high accuracy with less complexity

    A Study on Inspection of Defective Tablet Blister Using Image Segmentation Techniques

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    humansareaffectedfrom many kind ofdiseases. Proper Medicationistheonlywaytoovercome fromsuchdiseases.Somedicinesbecome most important part of human life.Manufacturing of medicines is done in very large scale. Duringmanufacturing, thereare many kind of defects in tablet blister, defects are likebreakage, cracksetcpresentin tablets or capsules.There may be side-effects of these defected tablets or capsules due to variation in dosage when consumed. The manufactured tablets should be properly inspected before reaching to the public, so that they do not cause any side-effects.Manual inspection of such defects in tablet blister may be very challenging task.Image segmentation is an important technique for automation of visual inspection. Hence, it is important to propose some approaches to detect these defects in tablet blister. In literaturesurvey many researchers have proposed multiple procedures for identifying defects in tablet blister. In this research work we review allthe methods used to identify defects in tablets blister

    Online Library Package to Boost the Functionality and Usability of the Existing Libraries

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    The current computational era has given rise to the idea of the digital library. The essential purpose of digital libraries is to enable readers to more easily explore books for reading. The library is a fast-growing process. The prehistoric system of maintaining it is no longer efficient. Library staff handles tedious tasks which involve sorting, lending, returning, classification of books etc. In addition, library users encounter problems for searching, borrowing, renewing the book, queuing, and so on. To overcome these barriers, this paper proposes a smart E-library Application based on Android technology. It mainly focuses on the central operations in a Library like analyzing total books, calculating available books, updating information, searching books and a facility to request and return books. This Software package is an Android Application developed for android O.S based phones, intended to help users to maintain and organize Library Services. This software package is user-friendly. It will allow quick transactions and will make easy to handle the issue and return of books from the Library without much involvement of manual bookkeeping. This software has been developed to maintain all the daily work of the library. It has many features which are generally not available in normal library systems like facility of reader login and a facility of admin login. The admin can monitor the whole system

    Review on Machine Learning Algorithms for Weather Forecasting Issues

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    Machine leaning is a ground of recent research that officially focuses on the theory, performance, and properties of learning systems and algorithms. It is particularly cross disciplinary field building upon ideas from many different kinds of fields such as artificial intelligence, optimization theory, information theory, statistics, cognitive science, optimal control, and many other disciplines of science, engineering, and mathematics. Since implementation in a wide range of applications, machine learning has covered almost every scientific domain, which has brought great impact on the science and society. Machine learning techniques has been used on a variety of problems, including recommendation engines, recognition systems, informatics and data mining, and autonomous control systems. This research paper compared different machine algorithms for classification. Classification is used when the desired output is a discrete label

    Ducted Wind Turbines-A Review

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    Today Wind Energy is a significant source of energy throughout the world. Therefore, it is necessary to develop innovative wind capturing devices that can produce energy in the locations where large conventional horizontal axis wind turbines are too impractical to install and operate. For example, Exploiting the wind energy at low wind velocities is a major predicament in creating a sustainable energy resource from wind. Over the recent decades to augment efficiency of wind turbines many different Ducted Wind Turbines (DWTs) have been designed. The ducted turbine has the ability to accelerate the air flow through a converging intake thereby increasing the power that can be extracted from the air flow. As the wind passes through a converging duct the velocity increases while the pressure decreases. The power extracted has a cubic relationship to wind velocity whereas the relation to pressure is linear. Operation of nozzle, diffuser, and Venturi devices are well known in internal flows to accelerate, decelerate, or affect flows in desirable manner. But some of researchers studies on different types of ducts, turbines or blades to consider the effect of them on accelerating of wind. CFD simulation helped researchers to study the generation of more mass flow through the ducted wind turbines. This paper describes recent works done to develop and test different model of a Ducted Wind Turbine and its integration. The paper will describe the concept of the ducted wind turbine different researchers used and the result reported for development of the mathematical model and comparison with experimental data. According to reviewed papers ducted wind turbines power can be increased by 5 to 6 times in comparison with traditional wind turbine

    A Review on Multimodal Medical Image Fusion

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    Algorithms and devices of multimodal medical image fusion have shown notable achievements in raising the clinical accuracy of decisions based on medical images. In this paper procedure for multi modal medical image fusion and applications of medical imaging modalities have been described .The fusion of medical images has established to be helpful for the treatment of various diseases

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    International Journal on Future Revolution in Computer Science & Communication Engineering
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