Volume-2 Issue-3, July 2013 – International Journal of Recent Technology and Engineering (IJRTE)

C0742072313

IJRTE Journal — Thu, 10 Nov 2022 09:36:51 +0000

Spam Detection using Baysian with Pattren Discovery
Asmeeta Mali
Asmeeta Mali. DYPIET, University of Pune (Maharashtra), India.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 139-143 | Volume-2 Issue-3, July 2013 | Retrieval Number: C0742072313/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Text mining is nothing but the discovery of interesting knowledge in text documents. But there is a big challenging issue that how to guarantee the quality of discovered relevant features. And that are in the text documents for describing user preferences because of the large number of terms, patterns and noise. For text mining there are basically two types of approaches; one is term based approach and another is phrase based approach. But term based approach suffered with the problem of polysemy and synonymy. And phrase based approach suffered with low frequency occurrence. But phrase based approachs are better than the term based approachs. But pattern based approach is better than the term based and phrase based approach. The proposed method is an innovative and effective pattern discovery technique. This method includes two main processes pattern deploying and inner pattern evaluation. This paper presents an effective technique to improve the effectiveness of using and updating discovered patterns for finding relevant and interesting information. Using Baysian filtering algorithm and effective pattern Discovery technique we can detect the spam mails from the email dataset with good correctness of term.
Keywords: Text Mining, Information Filtering, Pattern Mining, Sequential Pattern, Closed Sequential Patterns.
Scope of the Article: Text Mining

Download PDF

The post C0742072313 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

C0740072313

IJRTE Journal — Thu, 10 Nov 2022 09:31:54 +0000

Probabilistic Neural Network Based Delineation of QRS-complexes in Single-Lead ECG using Slope Criterion
M. K. Bhaskar¹, S. S. Mehta², N. S. Lingayat³, Guneet Singh Mehta⁴, D. A. Shete⁵
¹M. K. Bhaskar, Department of Electrical Engineering, M.B.M. Engineering College, J.N.V. University, Jodhpur (Rajasthan), India.
²S.S. Mehta, Department of Electrical Engineering, M.B.M. Engineering College, J.N.V. University, Jodhpur (Rajasthan), India.
³N. S. Lingayat, Department of Electrical Engineering, Dr. B.A.T. University, I.O.P.E. Lonere (Maharashtra), India.
⁴Guneet Singh Mehta, Department of Electrical Engineering, Indian Institute of Technology, Jodhpur, (Rajasthan), India.
⁵D.A. Shete, Department of Electrical Engineering, Government Polytechnic College, Latur (Maharashtra), India.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 133-138 | Volume-2 Issue-3, July 2013 | Retrieval Number: C0740072313/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper presents the delineation of QRS-complexes in electrocardiogram using Probabilistic Neural Network (PNN) and Slope criteria. Before going to the step of delineation of QRS-complexes, first follow the step of detection of QRS-complexes. The results of detection rate of QRS-complexes are obtained is quite encouraging i.e. 99.23% using slope criteria and PNN. The delineation is process to determine the onset and offset of QRS-region. The delineation performance of the proposed algorithm is validated using referees annotations and the combined program median provided in the CSE multi-lead measurement library. The results of delineation are presented using BA- plots and they are found to be well within tolerance limits as specified by CSE working group.
Keywords: BA-Plot, Combined Program Median, Delineation, Probabilistic Neural Network (PNN), QRS-complexes, Refree’s Annotation.
Scope of the Article: Neural Information Processing

Download PDF

The post C0740072313 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

C0739072313

IJRTE Journal — Thu, 10 Nov 2022 09:20:45 +0000

Development of Algorithm for Assessment of Cloud Properties
Tanutdech Rotjana Kusol
Tanutdach Rotjanakusol, Department of Physics, Faculty of Science, Mahasarakham University, Khamreang, Kantarawichai, Mahasarakham Thailand.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 129-132 | Volume-2 Issue-3, July 2013 | Retrieval Number: C0739072313/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The aim of this study is to development of algorithm for assessment of cloud properties in the atmosphere using satellite data. The work began by analyzing cloud cover in Thailand. To reduce possible confusion between high clouds and precipitation-causing clouds, the high clouds were removed using the spectral method based on the a priori knowledge-based threshold. This study successful development of algorithm for assessment of cloud properties in the atmosphere using satellite data, which will be use for early warnings of precipitation-causing clouds in Thailand.
Keywords: Development of Algorithm, Satellite Data, a Priori Knowledge-Based Threshold.
Scope of the Article: Web Algorithms

Download PDF

The post C0739072313 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

C0729072313

IJRTE Journal — Thu, 10 Nov 2022 09:15:42 +0000

Investigation of Transform Dependency in Speech Enhancement
Rohini R. Mergu¹, Shantanu K. Dixit²
¹Mrs. Rohini R. Mergu, Assistant Professor, WIT, Solapur (Maharashtra), India.
²Dr. Shantanu K. Dixit, Professor and Head E&TC WIT, Solapur (Maharashtra), India.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 124-128 | Volume-2 Issue-3, July 2013 | Retrieval Number: C0729072313/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Noise is an unwanted signal. One of the most common type of noise is a background noise which is always present. The paper presents speech enhancement scheme for suppression of background noise. The objective of speech enhancement is to improve the perceptual aspect such as quality and intelligibility of the processed speech. The main objective of this paper is to investigate the use of different transforms for speech enhancement. Speech enhancement using wiener filtering approach is proposed and implemented using DFT, DCT and DWT thus showing the feasibility of utilization of the different transforms.
Keywords: Speech Enhancement, DFTF, DCTF, DWTF, Wiener Filter, Transform
Scope of the Article: Computer Network

Download PDF

The post C0729072313 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

C0728072313

IJRTE Journal — Thu, 10 Nov 2022 09:08:58 +0000

A Fault Analysis based Model for Software Reliability Estimation
Garima Chawla¹, Santosh Kr Thakur²
¹Garima Chawla, Department of CSE, BRCM Engg. College, Bahal (Haryana), India.
²Santosh Kr Thakur, Department of CSE, BRCM Engg. College, Bahal (Haryana), India.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 121-123 | Volume-2 Issue-3, July 2013 | Retrieval Number: C0728072313/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: When a software system is designed, the major concern is the software quality. The quality of software depends on different factors such as software reliability, efficiency, cost etc. In this paper, we have defined the software reliability as the measure of software quality. There are different available models that estimate the reliability of software based on type of faults, fault density etc. In this paper, a study on different aspects related to software reliability are discussed..
Keywords: Software Faults, Reliability, Quality.
Scope of the Article: Agent-Based Software Engineering

Download PDF

The post C0728072313 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

C0721072313

IJRTE Journal — Thu, 10 Nov 2022 09:02:49 +0000

Contrast Enhancement for Remote Sensing Images with Discrete Wavelet Transform
G.Veena¹, V.Uma², Ch. Ganapathy Reddy³
¹G.Veena, Department of E.C.E, G. Narayanamma Institute of Technology and Science, Hyderabad (Telangana), India.
²V. Uma, Assoc. Prof, Department of E.C.E, G. Narayanamma Institute of Technology and Science, Hyderabad (Telangana), India.
³Prof. Ch. Ganapathy Reddy, Department of E.C.E, G. Narayanamma Institute of Technology and Science, Hyderabad (Telangana), India.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 114-120 | Volume-2 Issue-3, July 2013 | Retrieval Number: C0721072313/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Contrast Enhancement is very important for better visual perception and color reproduction. In this paper we explained the base enhancement techniques Histogram Equalization, Bi-histogram Equalization, Contrast Enhancement using Discrete Wavelet Transform(DWT) and Singular Value Decomposition (SVD),Discrete Cosine Transform(DCT) and Singular Value Decomposition(SVD) and the proposed technique Contrast enhancement based on Dominant Brightness and Adaptive Transformation. The performance of every method is evaluated with parameters such Mean Square Error (MSE), Measure of Enhancement (EME), Peak Signal to Noise Ratio (PSNR) and Mean Absolute Error (MAE).
Keywords: Bi Histogram Equalization (BHE), Discrete Cosine Transform (DCT),Discrete Wavelet Transform (DWT), Histogram Equalization (HE), Singular Value Decomposition (SV)D.
Scope of the Article: Discrete Optimization

Download PDF

The post C0721072313 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

C0717072313

IJRTE Journal — Thu, 10 Nov 2022 08:54:07 +0000

Comparative Study of Clustering Based Algorithm in Mobile Ad-Hoc Network
Harjeet Singh Chauhan
Prof. Harjeet Singh Chauhan, Registrar, B.M. Group of Institution, Gurgaon (Haryana), India.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 110-113 | Volume-2 Issue-3, July 2013 | Retrieval Number: C0717072313/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Today Energy efficiency is a critical issue in mobile ad hoc networks (MANETs) for increasing the lifetime of the individual nodes as well as the overall network. Mobile ad-hoc network has become a very important field of study for students and researchers owing to its wide application. In mobile ad-hoc network all nodes are responsible for routing and forwarding of packets, hence all nodes are required to act selflessly for proper functioning of mobile ad-hoc network. In the we present the study of low power clustering algorithm. In this paper present the survey of clustering algorithms in MANET. In particular, the algorithms under consideration are single hop representatives of the energy constrained ad hoc network. The emphasis is given mostly on the cluster formation principles and the cluster maintenance parameters of the algorithms. Simulation results are discussed to describe the effect of transmission range and the size of the network on the parameters like cluster density, frequency of reelection, frequency of cluster changes in the dynamic network. Partitioning the mobile nodes is a NP-hard problem. The lowest id, highest connectivity and weighted cluster algorithm to make it more intrusting.
Keywords: MANET, Lowest Id Theorem, Highest Connective Algorithm, Weight Cluster Algorithm.
Scope of the Article: Software Engineering Case Study and Experience Reports

Download PDF

The post C0717072313 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

C0712072313

IJRTE Journal — Thu, 10 Nov 2022 08:47:33 +0000

Combinatorial Auction for Grid Computing
Monika Rana¹, Sudesh Kumar², Surbhi Sangwan³
¹Monika Rana, Department of CSE, BRCM Engg. College, MDU, Rohtak (Haryana), India.
²Sudesh Kumar, Department of CSE, BRCM Engg. College, MDU, Rohtak (Haryana), India.
³Surbhi Sangwan, Department of CSE,BRCM Engg. College, MDU, Rohtak (Haryana), India.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 107-109 | Volume-2 Issue-3, July 2013 | Retrieval Number: C0712072313/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Grid computing, emerging as a new paradigm for next-generation computing, enables the sharing, selection, and aggregation of geographically distributed heterogeneous resources for solving large-scale problems in science, engineering, and commerce. The resources in the Grid are heterogeneous and geographically distributed. The paper demonstrates the capability of economic-based systems for wide-area parallel and distributed computing by using auction-oriented approach. In this paper combinatorial auction has been discussed. This auction model allows biders to bid on various attributes beyond the price .The overall utility of a deal for the buyer must consider a combination of the different attributes. This model has also been implemented. The auctioneer selects winners based on the price as well as on other attributes.
Keywords: Combinatorial Auction, Grid Computing, Resource Management, Economic Models and Auction Models
Scope of the Article: Cloud Computing and Networking

Download PDF

The post C0712072313 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

C0741072313

IJRTE Journal — Thu, 10 Nov 2022 08:40:43 +0000

Video Classification using SVM
Ashwini S. Mane¹, P. M. Kamde²
¹Ashwini S. Mane, Department of Computer Engineering, Sinhgad College of Engineering, Pune University ,Pune (M.H), India.
²Prof. P.M. Kamde, Department of Computer Engineering, Sinhgad College of Engineering, Pune University ,Pune (M.H), India.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 104-106 | Volume-2 Issue-3, July 2013 | Retrieval Number: C0741072313/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In today’s world, information is indispensable in each and every activity. Precise retrieval of information according to the user’s requirement is the dire need of the day. A Content Based Video Retrieval System, in a nutshell, aims at assisting a user to retrieve a video sequence target within a potentially large database. Content-based Video Retrieval Systems (CBVRS) are less common and is even now a research area. There are no existing systems of CBVRS in use because of various restrictions like video size, characteristics, high error rate etc. Search engines like Google etc use textual annotations to retrieve videos for the user which has very high error rate. Content based video retrieval has lots of applications in varied areas like medical sciences, news broadcasting, advertizing, video archiving and will surely revolutionize the field of information technology. A consequence of the growing consumer demand for visual information is sophisticated technology that is needed for representing, modeling, indexing and retrieving multimedia data. In particular, we need robust techniques to index/retrieve and compress visual information. Therefore this system Video Classification using SVM will play an important role in information retrieval and information storage.
Keywords: Direct Frame Difference, FFT , Mean and Standard Deviation ,Support Vector Machine
Scope of the Article: Classification

Download PDF

The post C0741072313 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

C0738072313

IJRTE Journal — Thu, 10 Nov 2022 07:41:27 +0000

Predictive Location-Based QoS Routing with Admission Control in Mobile Ad-hoc Networks
M. V. Yadav¹, G. T. Chavan²
¹Mangesh Yadav, ME (CN) Student, Sinhgad College of Engineering, Pune University, Pune (M.H), India..
²Prof. G. T. Chavan, Professor, SCOE, Pune University, Pune (M.H), India.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 99-103 | Volume-2 Issue-3, July 2013 | Retrieval Number: C0738072313/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper is aimed at identifying the issues and challenges involved in providing QoS in MANETs, overcoming these issues by using predictive location based QoS routing with admission control which are required to ensure high levels of QoS, improving bandwidth, throughput and minimizing packet loss rate, end to end delay, jitter, throughput QoS metrics. Distributed Admission Control Mechanism (DACME) applies on the valid route to check whether that route satisfies QoS or not if it satisfies QoS requirement then only route is selected otherwise rejected.The aim here is to improve peer to peer communication in wireless mobile ad hoc networks by identifying the location of mobile node using Predictive Location Based Routing Protocol (PLBRP) and Admission Control mechanism. This project can adapt to applications with bandwidth, delay and jitter constraints .This application proposes optimizations based on interactions between routing, and admission control layers which offer important performance improvements.
Keywords: Predictive Location Based QoS Routing Protocol ( PLQRP ), Quality of Service (QoS), Medium Access Control (MAC), QoS Specification (QSPEC).
Scope of the Article: High Speed Networks

Download PDF

The post C0738072313 appeared first on International Journal of Recent Technology and Engineering (IJRTE).