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An Extensive Review on Image Quality Enhancement using Filtering Techniques
Vivek Kumar Sharma
Computer Science and Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 56 - 58
A very vast portion of digital image processing is concerned with image de-noising. This includes research in algorithm and routine goal oriented image Processing. Image restoration is the removal or reduction of degraded images that are incurred while the image is being obtained. Degradation comes from blurring as Wall as noise due to various sources. Blurring is a form of bandwidth reduction in the image caused by the imperfect image formation process like relative motion between the camera & the object or by an optical system which is out of the focus. Image de-noising is often usеd in the fiеld of photography or publishing wherе an imagе is somehow degradеd but it neеds to be improvеd beforе it can be printеd. For this typе of application we neеd to know about the degradation process in order to dеsign a modеl for it. Whеn a modеl for the dеgradation procеss is designed, the inverse procеss can be applied to the imagе to de-noise it back to its original form. It is the typе of imagе de-noise oftеn usеd in spacе еxploration to hеlp eliminatе artifacts generatеd by mеchanical jittеr in a spacеcraft or to reducе distortion in the optical systеm of a telescopе. Imagе de-noising finds applications in fiеlds such as astronomy wherе the rеsolution limitations are high, in mеdical imaging wherе the physical requiremеnts for high quality imaging are needеd for analyzing the imagеs of uniquе evеnts and in the forеnsic sciencе wherе potеntially usеful photographic information is sometimеs of extremеly bad quality.
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A Tweet Segment Implementation On The NLP with The Summarization and Timeline Generation for Evolutionary Tweet Streams of Global and Local Context
Kanchan Varpe
Computer Science and Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 59 - 65
A Tweeter is the Social Media Network to demonstrate the different kind of language which having an independent nature of classifiers, presenting an result on the several text classification. A classification problems text general classification and topic detection in several language forms like Greek, English, Dautsch and Chinese. Then the study on key factors in the CAN (i.e. Chain Augmented Naive) model that can influence the classification performance of the global context and local context. Two novel smoothing techniques variation of Jelinek-Mercer and linear inter polation technique which perform existing methods. Natural languages are full of collocations, recurrent combinations of words that occur more often than expected by chance and that correspond to arbitrary word usages. Recent work in lexicography indicates that collocations are in English apparently they are common in all types of writing, including both technical and nontechnical generations. These kind of document describes the properties and some applications of the Microsoft Web Ngram corpus. The corpus can have the characteristics, contrast to static data distribution of previous corpus releases, this N-gram corpus is made publicly available as an XML Web Service so that it can be updated as deemed necessary by the user community to include new words and phrases constantly being added to the Web.
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Design of a Power Meter for RISC Architecture Having WIFI Wireless Communication Module
Shweta A Gadad
Electrical and Electronics Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 66 - 72
Energy problem is becoming one of the toughest issues nowadays. In order to meet the increased demands regarding energy awareness, we have been developing a new way of representing and interacting with energy in electric products, specifically home appliances. This paper presents the design and implementation of power meter. The design presents new methodology for preventing the high construction and maintenance costs with the existing meter reading technology, the applicability to different residential buildings and network infrastructure should be improved. Now wireless broadband network develops rapidly. At present, many cities in many countries are building or will build Wireless Metropolitan Area Networks by Wi-Fi, it provides the new connection ways to the this system. This system scheme using Wi-Fi technology and an ARM-Based PMWCM (Power Meter with Wi-Fi Communication Module) scheme. The ARM based hardware system is consisted of processor core board and peripheral board, and the software program is basing on embedded Linux. This paper also proposes the functions of wireless communication module and design detail.
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Assessment of Toxic Heavy Metals in Agricultural Fields of Mysore District
Shiva Kumar D ; Abhilash M R; Smitha N; Shobha M S; Nagaraju A
Environmental Sciences
Year: 2016, Volume:3, Issue : 2
Pages: 73 - 77
Heavy metals are natural constituents of the environment, but indiscriminate use for human purposes has altered their geochemical cycles and biochemical balance. These results in excess release of heavy metals such as cadmium, copper, lead, nickel, zinc etc. into natural resources like the soil and aquatic environments. Prolonged exposure and higher accumulation of such heavy metals can have deleterious health effects on human life and aquatic biota. The role of microorganisms and plants in biotransformation of heavy metals into nontoxic forms is well-documented, and understanding the molecular mechanism of metal accumulation has numerous biotechnological implications for bioremediation of metal-contaminated sites. In view of this, the present review investigates the abilities of microorganisms and plants in terms of tolerance and degradation of heavy metals. In this study vegetables were collected from different places of Mysore district and analysed for the accumulated metals through ICP-MS.
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A Secure Communication in Dynamic Wireless Sensor Network using Certificate Less Effective Key Management
Jagadish ; Prof.Nagalingayya M
Computer Science and Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 78 - 80
Wireless sensor networks (WSNs) have been deploy for a spacious assortment of application, including military sensing and tracking, unwearied eminence monitor, passage flow monitoring, where sensory diplomacy habitually stir amid diverse locations. Securing facts and transportation requires apt encryption key protocols. we intend a license less-effective key running etiquette for sheltered communiqué in vibrant WSNs pigeonholed by knob mobility, supports proficient key updates when a bump plants or joins a huddle and ensures bold and hesitant key concealment. The etiquette also chains competent key revocation for compromised nodes and minimize the blow of a lump conciliation on the defense of other announcement acquaintances. A sanctuary scrutiny of our proposal shows that our practice is valuable in protecting alongside different attacks.
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A System for Large-Scale Graph Processing on the Concept of Map-Reduce and MRBG
Nilesh Kurhade ; Prof. Snadip Kahate
Computer Science and Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 81 - 85
A time-line based framework for topic MapReduce programming model is widely used for large scale and one-time data intensive distributed computing, but lacks flexibility and efficiency of processing small incremental data. Incremental Mapreduce framework is proposed for incrementally processing new data of a large data set, which takes state as implicit input and combines it with new data. Map tasks are created according to new splits instead of entire splits while reduce tasks fetch their inputs including the state and the intermediate results of new map tasks from Preserved and latest generated result. The preserved states really producing the promising result and significantly reduce the run time for refreshing big data mining results compared to re-calculating on both simple and multi stage MapReduce. The intermediate states are saved in the form of kv-pair level data and data dependence in a MapReduce computation as a bipartite graph, called MRBGraph. A MRBG-Store is designed to preserve the fine-grain states in the MRBGraph and support efficient queries to retrieve fine-grain states for incremental processing.
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Design of a Vedic Arithmetic and Logical Unit using LabView
Jyoti ; Anuradha. S
Electronics & Communication Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 86 - 89
In the today’s technologies the computation unit is the important unit of all of the currently available technology. This paper represents the design concept of Vedic Arithmetic and logical unit using labview. The LABVIEW is used here to perform all design methodology. Every module of ALU is implemented in LABVIEW. Vedic mathematics is used in the multiplier unit. The Vedic mathematics sutra Urdhvatriyakbhyam is used to design Vedic multiplier. The labview illustrates how the CPU executes simple and a few complex operations using basic logic functions.
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Image Registration
Jyoti Rohilla ; Abhishek Bhatnagar
Computer Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 90 - 93
Image registration is a fundamental task in remote sensing image processing that is used to match two or more images taken, for example, at different times, from different sensors or from different viewpoints. A lot of automation has been achieved in this field but ever sprouting data quality and characteristics compel innovators to design new and/or improve existing registration techniques. In this paper, image registration methodologies are broadly classified into intensity and feature based approaches and analyzed critically.
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TLBO Optimization in Matching of Rotated Image
Jyoti Rohilla ; Abhishek Bhatnagar
Computer Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 94 - 101
The main work of this research is the development of computational frameworks that deal with the problems arising in the construction of an image registration module. A novel algorithm for image features matching is used in terms of optimization algorithms. We have efficiently used the teacher learning based optimization algorithm (TLBO) to match image features by tuning the rotating angle of image. The complete work is divided into three modules: edge detection, features extraction and features matching. After studying previous work on this, the phase congruency method for the edge detection is used to avoid non uniform illumination problem occurred in detection of edges. The requirement of features extraction is that invariant matching points which remain same even after change in angle of rotation of image. So we used scale invariant features transform (SIFT) method to extract features and finally we purposed the optimized matching algorithm which can work for almost every type of image. Our features matching using TLBO algorithm tune the rotational angle of test image and set it to an optimum angle so that it can best match with the reference image.
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A DWT Approach for Detection and Classification of Transmission Line Faults
Prasad Purushottam Kawale ; Prof. C. Veeresh
Electrical Engineering
Year: 2016, Volume:3, Issue : 2
Pages: 102 - 114
The rapid growth of electric power systems has resulted in a large increase of the number of lines in operation and their total length. These lines are exposed to faults because of many reasons such as a result of lightning, short circuits, faulty equipments, miss-operation, human errors, overload, and aging etc Due to these faults .long term power outages for customers and may lead to signiï¬cant losses. Therefore fast detection and classification of transmission line faults is important in maintaining a reliable power system operation and to ensure quality performance of the power system. This paper aims at detecting and classifying the transmission line faults by using Discrete Wavelet Transform (DWT) and Artificial neural network (ANN). Various types of fault conditions such as Single line-to-ground faults (L-G), Line-to-Line faults (L-L) and Double Line-to-ground faults (L-L-G) are simulated in Power System Computer Added Design (PSCAD) software. An extremely large data set of current and voltage signals is generated by simulating various types of fault conditions by varying the system parameters. Then an advanced signal processing tools such as discrete wavelet transform (DWT) is used for calculating detail coefficients energy of the fault signals. Depending upon the detail coefficients energy the fault will be detected. A properly conï¬gured Artificial Neural Network (ANN) can be utilized for classiï¬cation of the faults based on the DWT signal.
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Abstract
