Volume-3 Issue-2, May 2014 – International Journal of Recent Technology and Engineering (IJRTE) https://www.ijrte.org Exploring Innovation | ISSN:2277-3878(Online) | A Periodical Journal | Reg. No.: C/819981 | Published By BEIESP Mon, 07 Nov 2022 03:55:02 +0000 en-US hourly 1 https://www.ijrte.org/wp-content/uploads/2021/02/cropped-IJRTE-Logo-WS-32x32.png Volume-3 Issue-2, May 2014 – International Journal of Recent Technology and Engineering (IJRTE) https://www.ijrte.org 32 32 B1108053214 https://www.ijrte.org/portfolio-item/b1108053214/ Sat, 05 Nov 2022 11:11:16 +0000 https://www.ijrte.org/?post_type=portfolio&p=33216 The post B1108053214 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Review Mining: A New Approach using Modified NLP
Umang Sardesai1, Aakash Makwana2, Sagar Haria3
1Umang Sardesai,  U.G. Student, Department of Computer, DJSCOE, Vile-Parle (W), Mumbai (Maharashtra), India.
2Aakash Makwana, U.G. Student, Department of Computer, DJSCOE, Vile-Parle (W), Mumbai (Maharashtra), India.
3Sagar Haria, U.G. Student, Department of Computer, DJSCOE, Vile-Parle (W), Mumbai (Maharashtra), India.
Manuscript received on 20 May 2014 | Revised Manuscript received on 25 May 2014 | Manuscript published on 30 May 2014 | PP: 87-90 | Volume-3 Issue-2, May 2014 | Retrieval Number: B1108053214/2014©BEIESP
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© 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 Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, forums, discussion groups, and blogs. Nowadays we get all the technical specifications of a product on the Web, but what matters is what the customer feels about or what his opinions about the product are. This paper focuses on analyzing and summarizing online customer reviews of products. While analyzing we devise a new approach for NLP, by assigning a latent weight to each aspect/feature of a product. After extracting the sentiment in each sentence of the review, we summarize the opinions and express it graphically. This will not only help customers but also help the product manufacturers to get an indirect customer feedback.
Keywords: NLP, Sentiment Analysis, Opinion mining, Latent weight, Visualization
Scope of the Article: Predictive Analysis

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]]> B1110053214 https://www.ijrte.org/portfolio-item/b1110053214/ Sat, 05 Nov 2022 11:04:05 +0000 https://www.ijrte.org/?post_type=portfolio&p=33213 The post B1110053214 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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System for Diagnosis of Diabetic Retinopathy using Neural Network
Dipika Gadriye1, Gopichand Khandale2, Rahul Nawkhare3
1Dipika Gadriye, P.G. Student, Department of Electronics Engineering, Wainganga College of Engineering & Management, Nagpur, (Maharashtra), India.
2Prof. Gopichand Khandale, Assistant professor Department of Electronics Engineering, Wainganga College of Engineering& Management, R. T.M.U, Nagpur, (Maharashtra), India.
3Prof. Rahul Nawkhare, Assistant professor Department of Electronics Engineering, Wainganga College of Engineering & Management, R. T.M.U, Nagpur, (Maharashtra), India.
Manuscript received on 20 May 2014 | Revised Manuscript received on 25 May 2014 | Manuscript published on 30 May 2014 | PP: 81-86 | Volume-3 Issue-2, May 2014 | Retrieval Number: B1110053214/2014©BEIESP
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© 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 main cause of blindness for the working age population in western countries is Diabetic Retinopathy – a complication of diabetes mellitus – is a severe and wide- spread eye disease. Digital color fundus images are becoming increasingly important for the diagnosis of Diabetic Retinopathy. In order to facilitate and improve diagnosis in different ways, this fact opens the possibility of applying image processing techniques. An algorithm able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a correct diagnosis as microaneurysms are earliest sign of DR. The key for low cost widespread screening is a system usable by operators with little training. Some methods that address this problem can be found in the literature but they have some drawbacks like accuracy or speed. The aim of this thesis is to develop and test a new method for detecting the microaneurysms in retina images. To do so preprocessing, gray level 2D feature based vessel extraction is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than rule based methods. Morphological opening and image enhancement are performed to identify microaneurysms in an image. The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can be estimated with the better accuracy and in shorter time than previous techniques.
Keywords: Contrast normalization, Fundus, Microaneurysms, Retina, Pixel Classification, Retina.
Scope of the Article: Classification

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]]> B1107053214 https://www.ijrte.org/portfolio-item/b1107053214/ Sat, 05 Nov 2022 10:54:02 +0000 https://www.ijrte.org/?post_type=portfolio&p=33210 The post B1107053214 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Palmprint Texture Analysis using 1D Log-Gabor Filter
Trupti.Thite1, Sharada.C.Sajjan2
1Trupti. Thite, Department of ECE, SDMCET, Dharwad, (Karnataka), India.
2Sharada.C. Sajjan, Department of ECE, SDMCET, Dharwad, (Karnataka), India.
Manuscript received on 20 May 2014 | Revised Manuscript received on 25 May 2014 | Manuscript published on 30 May 2014 | PP: 77-80 | Volume-3 Issue-2, May 2014 | Retrieval Number: B1107053214/2014©BEIESP
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© 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: Biometrics is the study of automated methods for recognizing a person based on his physical or behavioral characteristic. Biometric systems can be divided into two categories- identification systems and verification systems. Identification systems tell “who you are?” and verification system tell “are you the one who you claim to be?” Security has become a paramount concern in today’s arena. Hence palmprint identification plays a very significant role to address issues of authentication .This involves image acquisition, preprocessing, feature extraction, and pattern matching. Here 1D Log-Gabor filter is used for texture analysis and feature extraction. Support Vector Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance. By the incorporation of this SVM classifier the performance of the whole application has significantly increased duly yielding concise accurate results
Keywords: CCD, SVM. 
Scope of the Article: Predictive Analysis

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]]> B1102053214 https://www.ijrte.org/portfolio-item/b1102053214/ Sat, 05 Nov 2022 10:47:30 +0000 https://www.ijrte.org/?post_type=portfolio&p=33207 The post B1102053214 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Semantic based Sentence Ordering Approach for Multi-Document Summarization
P.Sukumar1, K.S.Gayathri2
1P. Sukumar, PG Scholar, Department of Computer Science and Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, Chennai, (Tamil Nadu), India.
2K.S. Gayathri, Associate Professor, Department of Computer Science and Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, Chennai,(Tamil Nadu), India.
Manuscript received on 20 May 2014 | Revised Manuscript received on 25 May 2014 | Manuscript published on 30 May 2014 | PP: 71-76 | Volume-3 Issue-2, May 2014 | Retrieval Number: B1102053214/2014©BEIESP
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© 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: With the rapid growth of online information which is unstructured in nature poses a great challenge to the text mining algorithms to retrieve useful and meaningful information in an efficient way. However larger amount of data are readily available, it is very difficult to access the required information at the right time and also in the most appropriate form. Therefore a systematic approach called multi-document summarization is required to generate a summary about particular topic. The main focus of document summarization is sentence ordering and ranking. The existing system for sentence ordering deals with the measures such as chronology, topical, precedence and succedence experts. The main drawback of existing system is, it does not address the semantic relationship between the sentences in the summary which is necessary to create a meaningful summary. The proposed system addresses the semantic relationship between sentences in the summary using wordnet synsets. This system builds an entailment model which infer the logical relationship among the sentences when arranging the sentences in the summary. Graph method is used for ranking the sentences, where nodes represents the sentences and the edges represents the preference value of one sentence over another sentence. The proposed system provides an efficient summary which is considerably increases the meaningfulness of the final summary and also typically recovering the user from the information overload problem by giving quick and efficient access to required information.
Keywords: Multi-document Summarization, Sentence Ordering, Sentence ranking, Semantic Expert, Text Entailment Expert.
Scope of the Article: Text Mining

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]]> B1096053214 https://www.ijrte.org/portfolio-item/b1096053214/ Sat, 05 Nov 2022 10:39:17 +0000 https://www.ijrte.org/?post_type=portfolio&p=33203 The post B1096053214 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Optimization of PSC Slab Bridges
Brij Kishor Kushwaha1, N. G. Gore2, P.J. Salunke3
1Brij Kishor Kushwaha, Department of ME (struct.) M.G.M.CET, Navi Mumbai (Maharashtra), India.
2Prof. N. G. Gore, Department of Civil Engineering  M.G.M.CET, Navi Mumbai (Maharashtra), India.
3Prof. P.J. Salunke, Department of Civil Engineering, M.G.M.CET, Navi Mumbai (Maharashtra), India.
Manuscript received on 20 May 2014 | Revised Manuscript received on 25 May 2014 | Manuscript published on 30 May 2014 | PP: 67-70 | Volume-3 Issue-2, May 2014 | Retrieval Number: B1096053214/2014©BEIESP
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© 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 objective of this study is to investigate the appropriate optimization method to find minimum weight and the minimum cost of a Railway PSC slabs. In view of achieving this objective it is decided to develop a computer code in MATLAB7. After validating this computer code by comparing the results with analytical results, it is planned to carry out the economical and safe design of PSC slab. For the minimum weight and cost design of the PSC slab unit the following design variables are chosen: 1- Depth of PSC slab unit at center, 2-Depth of PSC slab unit at end, 3-Eccentricity of prestressing cable at center, & 4-Total prestressing force.
Keywords: Prestressed concrete slab, Railway bridges, Structural optimization, Prestressing force, Cost and weight Optimisation.
Scope of the Article: Concrete Engineering

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]]> B1105053214 https://www.ijrte.org/portfolio-item/b1105053214/ Sat, 05 Nov 2022 10:33:17 +0000 https://www.ijrte.org/?post_type=portfolio&p=33201 The post B1105053214 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Analysis of Composite Laminate for Maximum Stiffness
Sharad D. Pawar1, Abhay Utpat2
1Sharad D. Pawar, Department of Mechanical Engineering, SVERI’s College of Engineering, Pandharpur, (Maharashtra), India.
2Abhay Utpat, Department of Mechanical Engineering, FTC’s College of Engineering and Research, Sangola, (Maharashtra), India.
Manuscript received on 20 May 2014 | Revised Manuscript received on 25 May 2014 | Manuscript published on 30 May 2014 | PP: 60-66 | Volume-3 Issue-2, May 2014 | Retrieval Number: B1105053214/2014©BEIESP
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© 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 purpose of this study is to develop optimization procedure to maximize the stiffness and minimize the weight of composite laminate subjected to in-plane loading .The design variables for optimization problem are fiber orientation angles, thickness of lamina and number of laminas. Maximum stress failure criteria are used to determine whether load bearing capacity is exceeded for a configuration generated during optimization process. In a recent year, the application of Fiber reinforced composite material has increased with increasing need of low weight, high strength, high stiffness etc. in aerospace industry, automobile industry, sporting equipment, civil industry etc. In the case of Fiber Reinforcement Plastic composite structural design, the requirements of certain application can be achieved not only by sizing the cross sectional areas and thickness of components but by changing the material system design i.e. optimizing the material system itself such as fiber orientation angle, ply thickness, stacking sequence etc. The optimization techniques are being used to assist the designer in finding an optimized solution. Carefully designed individual composite parts at present, are about 20-30% lighter than their conventional metal parts.
Keywords: Composite Material, FEA,Stiffness.
Scope of the Article: Composite Materials

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]]> B1100053214 https://www.ijrte.org/portfolio-item/b1100053214/ Sat, 05 Nov 2022 10:29:23 +0000 https://www.ijrte.org/?post_type=portfolio&p=33199 The post B1100053214 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Gayathri M1, A. Sudha2
1Gayathri M, II year student, M.E(CSE) Department of CSE, Al-Ameen Engineering College, College, Erode, (Tamil Nadu), India.
2A. Sudha, Assistant Professor, Department of CSE, Al-Ameen Engineering Erode, (Tamil Nadu), India.
Manuscript received on 20 May 2014 | Revised Manuscript received on 25 May 2014 | Manuscript published on 30 May 2014 | PP: 54-59 | Volume-3 Issue-2, May 2014 | Retrieval Number: B1100053214/2014©BEIESP
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© 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: Fault prediction in software systems is crucial for any software organization to produce quality and reliable software. Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of software life cycle, so that more testing efforts can be put on faulty modules. Various metrics in software like Cyclomatic complexity, Lines of Code have been calculated and effectively used for predicting faults. Techniques like statistical methods, data mining, machine learning, and mixed algorithms, which were based on software metrics associated with the software, have also been used to predict software defects. Many works have been carried out in the prediction of faults and fault-proneness of software systems using varied techniques. In this paper, an enhanced Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is performed for the modeling of fault-proneness prediction in software systems. The data set of software metrics used for this research is acquired from NASA’s Metrics Data Program (MDP).
Keywords: Faults, Fault-proneness, Software Metrics, Software Defect Prediction, Multilayer Perceptron Neural Network.
Scope of the Article: Computer Network

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]]> B1097053214 https://www.ijrte.org/portfolio-item/b1097053214/ Sat, 05 Nov 2022 10:25:22 +0000 https://www.ijrte.org/?post_type=portfolio&p=33197 The post B1097053214 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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A CMOS Class-E Cascode Power Amplifier for GSM Application
Manoj Sharadrao Awakhare
Manoj S. Awakhare, P.G. Student, Department of VLSI Design, Ramdeobaba College of Engineering, Nagpur (Maharashtra), India.
Manuscript received on 20 May 2014 | Revised Manuscript received on 25 May 2014 | Manuscript published on 30 May 2014 | PP: 49-53 | Volume-3 Issue-2, May 2014 | Retrieval Number: B1097053214/2014©BEIESP
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© 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 design of A 2.4-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC 0.18-μm CMOS technology present in this paper. Proposed Class E cascode PA topology is a single-stage topology in order to minimize the device stress problem. A parallel capacitor is connected across the transistors for efficiency enrichment also for dominating the effect of parasitic capacitances at the drain node. The simulation results point to that the PA delivers 12 dBm output power with 43.6% and 46.6% of power added efficiency (PAE) and drain efficiency (DE) respectively with 2.5-Volt power supply into a 50-Ω load
Keywords: Class E, CMOS Power amplifier, Power Added Efficiency, Switching Amplifier.
Scope of the Article: Routing, Switching and Addressing Techniques

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]]> B1094053214 https://www.ijrte.org/portfolio-item/b1094053214/ Sat, 05 Nov 2022 10:21:14 +0000 https://www.ijrte.org/?post_type=portfolio&p=33195 The post B1094053214 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Vithya KP1, Premkumar R2
1Vithya KP, PG Scholar, Mount Zion College of Engineering and Technology, Pudukkottai – 622507, (Tamil Nadu), India.
2Premkumar R, Assistant Professor, Mount Zion College of Engineering and Technology, Pudukkottai – 622507, (Tamil Nadu), India.
Manuscript received on 20 May 2014 | Revised Manuscript received on 25 May 2014 | Manuscript published on 30 May 2014 | PP: 46-48 | Volume-3 Issue-2, May 2014 | Retrieval Number: B1094053214/2014©BEIESP
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© 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 detailed condition of a cardiac patient can be better understood from his ECG. For treatment of the patient over the internet both the security and the bandwidth issues plays a very vital role. A new approach which combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which enables uploading of important coefficients of ECG signal. This technique not only provides security but also provides doctor to patient interaction. The simulation results indicate that the proposed method enhances the security for data transmission over the internet with a compression ratio of 2.5. The idea for choosing the SPHIT is it is lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all means.
Keywords: Image compression, Image encryption, discrete wavelet transform, RSA Encryption, SPHIT, ECG.
Scope of the Article: Image analysis and Processing

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]]> B1087053214 https://www.ijrte.org/portfolio-item/b1087053214/ Sat, 05 Nov 2022 10:16:39 +0000 https://www.ijrte.org/?post_type=portfolio&p=33193 The post B1087053214 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Radio Frequency Based Automatic Meter Reading System
Prachi Agrawal
Prachi Agrawal, E&TC (VLSI & Embedded System Design), Disha Institute of Management and Technology, CSVU University, Raipur, (C.G.) India.
Manuscript received on 20 May 2014 | Revised Manuscript received on 25 May 2014 | Manuscript published on 30 May 2014 | PP: 43-45 | Volume-3 Issue-2, May 2014 | Retrieval Number: B1087053214/2014©BEIESP
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© 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: IThis paper specifies a practical model of Pulse Detection and Electric Metering System based on the Radio Frequency (RF). The supporting device transmitter works on 98.5 MHz operating frequency and 200.5 MHz carrier frequency and receiver works on same.. This project works within the range of 50 meters. This Radio Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on actual consumption rather than on an estimate based on previous consumption.
Keywords: Automatic Meter Reading, Digital Power Meter, Radio Frequency, Short Messaging System.
Scope of the Article: Frequency Selective Surface

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