Volume-2 Issue-12, November 2014 – International Journal of Inventive Engineering and Sciences (IJIES) https://www.ijies.org Exploring Innovation | ISSN: 2319-9598(Online) | A Periodical Journal | Reg. No.: C/1383209 | Published by BEIESP Fri, 27 Aug 2021 04:55:37 +0000 en-US hourly 1 https://www.ijies.org/wp-content/uploads/2021/02/cropped-IJIES-Logo-WF-32x32.png Volume-2 Issue-12, November 2014 – International Journal of Inventive Engineering and Sciences (IJIES) https://www.ijies.org 32 32 L05471121214 https://www.ijies.org/portfolio-item/l05471121214/ https://www.ijies.org/portfolio-item/l05471121214/#respond Thu, 26 Aug 2021 11:27:01 +0000 https://www.ijies.org/?post_type=portfolio&p=5965 The post L05471121214 appeared first on International Journal of Inventive Engineering and Sciences (IJIES).

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Automatic Blood Vessel Segmentation in Retinal Image Based on Mathematical Morphology
Vandana Y. Koli1, Ashwini G. Andurkar2, Harsha S. Jain3
1Miss. Vandana Koli, Department of Electronics & Tele Communication, Government College of Engineering, Jalgaon, India.
2Mrs. Ashwini Andurkar, Department of Electronics & Tele Communication, Government College of Engineering, Jalgaon, India.
3Miss. Harsha Jain, Department of Electronics & Tele Communication, Government College of Engineering, Jalgaon, India.
Manuscript received on November 06, 2014. | Revised Manuscript Received on November 20, 2014. | Manuscript published on November 20, 2014. | PP: 33-37 | Volume-2, Issue-12, November 2014. | Retrieval Number: L05471121214/2014©BEIESP
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© The Authors. Published By: 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: Retinal blood vessels detection or segmentation is important according to ophthalmologist. To diagnose the retinal disease or to avoid the vision loss, regular checkup of retinal blood vessels is necessary. This regular checkup provides the information about the changes of blood vessels. This changes are like swelling, narrowing of blood vessels etc. The automatic segmentation of blood vessels helps in the diagnosis of retinal diseases. In this work two approaches are used for vessel segmentation. First one is segmentation using morphology with Thresholding and second is segmentation using morphology with Fuzzy-C-Means clustering. Both approaches are unsupervised methods. The segmentation result of these methods is approximately same but there is one difference. The first one technique provides better result for major vessel while second provides good result for minor vessels. This system designed to resolve the problem of ophthalmologist by developing two algorithms.
Keywords: Retinal Blood Vessels, Fuzzy-C-Means, Mathematical Morphology, Thresholding

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Doppler Spectrogram Calculation using DSP Processor & MATLAB
Harsha Jain1, Ashwini Andurkar2, Vandana Koli3
1Miss. Harsha Jain, Department of Electronics & Tele Communication, Government College of Engineering, Jalgaon, India.
2Mrs. Ashwini Andurkar, Department of Electronics & Tele Communication, Government College of Engineering, Jalgaon, India.
3Miss. Vandana Koli, Department of Electronics & Tele Communication, Government College of Engineering, Jalgaon, India.
Manuscript received on November 01, 2014. | Revised Manuscript Received on November 16, 2014. | Manuscript published on November 20, 2014. | PP: 28-32 | Volume-2, Issue-12, November 2014. | Retrieval Number: L05451121214/2014©BEIESP
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© The Authors. Published By: 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: Doppler echocardiography is a method for detecting the direction and velocity of moving blood vessels within the heart. It uses Doppler’s shift principle that there is change in frequency of ultrasonic waves relative to the motion of moving blood cells. The change in frequency is proportional to the velocity of blood cells. Most of the Doppler ultrasound systems employ quadrature demodulation technique at the detection stage. The information concerning flow direction encoded in the phase relationship between in-phase and quadrature phase channels is not obvious at this stage. A method based on the complex fast Fourier transform (CFFT) and complex wavelet transform (CWT) has been described. It eliminates the intermediate processing stages by mapping directional information in frequency and scale domain respectively. These methods are implemented in real time using commercially available digital signal processors TMS320C6713DSK along with Code Composer Studio 3.1 and also used MATLAB 7.4.0(R2007a) software. This system has been designed as open research platform, which can be programmable with variety of novel algorithms for studying improved and resolved spectrograms to obtain accurate diagnostic details in the future.
Keywords: Directional Doppler, Doppler Echocardiography, CFFT, CWT, TMS320C6713DSK

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EEG Signal Sorting & ANN Principal Features Analysis for Brain Disease Diagnosis
Sangita V. Darandale1, M.B. Tadwalkar2
1Sangita V. Darandale, Department of Electronics and Telecomm Engineering, JSPMs, Jayawantrao Sawant College of Engg, Hadapsar, Pune 28, India.
2Prof. M.B.Tadwalkar, Department of Electronics and Telecomm Engineering, JSPMs,Jayawantrao Sawant College of Engg, Hadapsar, Pune 28, India.
Manuscript received on November 01, 2014. | Revised Manuscript Received on November 20, 2014. | Manuscript published on November 20, 2014. | PP: 23-27 | Volume-2, Issue-12, November 2014. | Retrieval Number: L05441121214/2014©BEIESP
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© The Authors. Published By: 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: Automatic support system for EEG signal classification for brain diseases diagnosis is proposed in this study. The artificial neural network is used to diagnosis disease like epilepsy by classifying the EEG Signal. The manual analysis of the signal require more time. Also there is a requirement of intensive trained person, to minimize the diagnostics errors. Back Propagation Network with data processing techniques was employed. Decision is based on two stages: feature extraction using Principal Component Analysis and the classification using Back Propagation Network (BPN).The training performance as well as classification accuracy is evaluated for Back Propagation classifier performance. Back Propagation Network classifier is used for high speed and accuracy.
Keywords: EEG signals, Classification algorithms, Back propagation network, epilepsy disease.

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An Analysis of Psoriasis Skin Images
Ashwini C. Bolkote1, M.B. Tadwalkar2
1Ashwini C. Bolkote, Department of Electronics and Telecomm Engineering, JSPMs, Jayawantrao Sawant College of Engg, Hadapsar, Pune 28, India.
2Prof. M. B. Tadwalkar, Department of Electronics and Telecomm Engineering, JSPMs, Jayawantrao Sawant College of Engg, Hadapsar, Pune 28, India.
Manuscript received on November 08, 2014. | Revised Manuscript Received on November 20, 2014. | Manuscript published on November 20, 2014. | PP: 17-22 | Volume-2, Issue-12, November 2014. | Retrieval Number: L05431121214/2014©BEIESP
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© The Authors. Published By: 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 this study a skin disease diagnosis system was developed and tested. The system was used for diagnosis of psoriases skin disease. Present study relied on both skin color and texture features (features derives from the GLCM) to give a better and more efficient recognition accuracy of skin diseases. In this study feed forward neural networks is used to classify input images to be psoriases infected or non psoriasis infected.
Keywords: Skin recognition, skin texture, computer aided disease diagnosis, texture analysis, neural networks, Psoriasis.

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Object Pose Estimation using Least Non Coplanar Feature Points
Rohit Prasad1, Tejaswini Kar2
1Rohit Prasad, School of Electronics Engineering, Kalinga Institute of Industrial Technology, KIIT University, Bhubaneswar, India.
2Tejaswini Kar, School of Electronics Engineering, Kalinga Institute of Industrial Technology, KIIT University, Bhubaneswar, India.
Manuscript received on November 09, 2014. | Revised Manuscript Received on November 18, 2014. | Manuscript published on November 20, 2014. | PP: 13-16 | Volume-2, Issue-12, November 2014. | Retrieval Number: : L05421121214/2014©BEIESP
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© The Authors. Published By: 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 describes the pose estimation of an object using a calibrated camera. The idea is to first calibrate the camera and then implement the algorithm to find the estimated matrices that describes the three dimensional pose of the object. The camera calibration process includes capturing the images and then processing them to find the intrinsic and extrinsic parameters, which are used to estimate the object pose. And object pose estimation is carried out by first finding the corners with the help of Harris feature extraction and then comparing the image and object matrices in the POSIT algorithm and finally eliminating the errors with the help of iterations. The algorithm estimates the pose with a minimum of four non-coplanar points from the acquired image. Both camera calibration and pose estimation processes were implemented using MATLAB® Ver.7.12.0.635 (R2011a).
Keywords: POSIT, pose estimation, camera calibration, intrinsic parameters, non-coplanar feature points.

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Home Security System
Dhadiwal Kalpesh Paraskumar1, Abhishek Pandey2, Dharmendra Kumar3, Pankaj Kumar4, Deepali Javale5
1Dhadiwal Kalpesh Paraskumar, University of Pune, MIT College of Engineering, Department of Computer Engineering, Pune, India.
2Abhishek Pandey, University of Pune, MIT College of Engineering, Department of Computer Engineering, Pune, India.
3Dharmendra Kumar, University of Pune, MIT College of Engineering, Department of Computer Engineering, Pune, India.
4Pankaj Kumar, University of Pune, MIT College of Engineering, Department of Computer Engineering, Pune, India.
5Deepali Javale, University of Pune, MIT College of Engineering, Department of Computer Engineering, Pune, India.
Manuscript received on November 04, 2014. | Revised Manuscript Received on November 19, 2014. | Manuscript published on November 20, 2014. | PP: 11-12 | Volume-2, Issue-12, November 2014. | Retrieval Number: L05381121214/2014©BEIESP
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© The Authors. Published By: 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: Home Security is an important issue everywhere. Now a days as the possibilities of intrusion are increasing so home security is required. We propose home security system which focus on monitoring home space to detect intruders and the visitors that are visiting our home. The Android phone is the advantage of the system as it is carried by everyone and used at any place at any instant as compared to personal computer. The user can monitor the home status using the android phone even when the user is not at home. Internet will be the main communication media between the android phone and the home security system.
Keywords: Android phone, IR, Raspberry pi, Zig Bee

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Mobile CMS Platform for Android
A. Jalali1, A. Nalawade2, K. Kulkarni3, S. Mishra4
1A. Jalali, Department of Computer Science, Marathwada Mitra Mandal’s Institute of Technology, Pune, Maharashtra, India.
2A. Nalawade, Department of Computer Science, Marathwada Mitra Mandal’s Institute of Technology, Pune, Maharashtra, India.
3K. Kulkarni, Department of Computer Science, Marathwada Mitra Mandal’s Institute of Technology, Pune, Maharashtra, India.
4S. Mishra, Department of Computer Science, Marathwada Mitra Mandal’s Institute of Technology, Pune, Maharashtra, India.
Manuscript received on November 01, 2014. | Revised Manuscript Received on November 12, 2014. | Manuscript published on November 20, 2014. | PP: 8-10 | Volume-2, Issue-12, November 2014. | Retrieval Number: L05361121214/2014©BEIESP
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© The Authors. Published By: 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: Android is playing a vital role in today’s world. Everybody is more interactive with android applications rather than using the Websites. For any enterprise the explosive growth in mobile devices is impossible to ignore. But while many companies would love to extend their e-commerce website to a mobile audience, they’re often uncertain about how to proceed. We provide a solution to this problem by providing a platform .Our system focuses particularly on the E-commerce websites which are built with the help of Magento [1] Framework. The web Interface Which we are building will be converting any E- commerce website based on magento framework into an android application. All third party payments will be handled by the system admin and also customer website’s database security is kept in mind.
Keywords: Android, CMS, Magento, Web Interface.

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Survey Paper on “Ontology as a Driving Force”
Sumitra Pundlik1, Shwetali Jori2, Juilee Kapure3, Anisha Gaikwad4, Shweta Valunj5
1Prof. Sumitra Pundlik, Department of Computer, Pune University, Pune, India.
2Shwetali Jori, Department of Computer, Pune University, Pune, India.
3Juilee Kapure, Department of Computer, Pune University, Pune, India.
4Anisha Gaikwad, Department of Computer, Pune University, Pune, India.
5Shweta Valunj, Department of Computer, Pune University, Pune, India.
Manuscript received on November 05, 2014. | Revised Manuscript Received on November 15, 2014. | Manuscript published on November 20, 2014. | PP: 4-7 | Volume-2, Issue-12, November 2014. | Retrieval Number: L05331121214/2014©BEIESP
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© The Authors. Published By: 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: Ontology, a branch of artificial intelligence, is a formal representation of concepts of a particular domain and relationships amongst those concepts. Ontology acts as a powerful tool or a driving factor for many real world applications and this paper presents some of those ontology-based approaches. This paper describes how ontology is modeled, implemented and used in Web Semantics, Business Process Networks and Knowledge and Application Engineering.
Keywords: Ontology, Semantic Web, Ontological Development.

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Proposal for an Automatic Identification Model of Learning Styles
Sanae El Attar1, Souhaib Aammou2, Az-Eddine Nasseh3
1Sanae El Attar, LIROSA, Abdelmalek Essaadi University, Faculty of Sciences, Tétouan, Morocco.
2Prof. Souhaib Aammou, LIROSA, Abdelmalek Essaadi University, Faculty of Sciences, Tétouan, Morocco.
3Prof. Az-Eddine Nasseh, LIROSA, Abdelmalek Essaadi University, Faculty of Sciences, Tétouan, Morocco.
Manuscript received on November 03, 2014. | Revised Manuscript Received on November 19, 2014. | Manuscript published on November 20, 2014. | PP: 1-3 | Volume-2, Issue-12, November 2014. | Retrieval Number: L05321121214/2014©BEIESP
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© The Authors. Published By: 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: Hypermedia environments are becoming essential tools to enhance the educational value in teaching. This use is seen by facilitating the coming of the web world that offers us the opportunity to access hypermedia resources on the Web. The implementation of some educational activities in the form of hypermedia, can enhance the learning of cognitive skills in some learners. However, several LMS (Learning Management Systems) offer non-adapted to different types of learners learning activities. Now a Adaptive educational hypermedia system well designed, can generate varied and adapted to each profile educational activities. The consideration of values is very important to get to offer appropriate activities, and produce appropriate feedback. If this system called automatic identification of learning styles which is the subject of this document model, taking into account key factors such as learner preferences, values, characteristics and types of feedback, is to arrive interpret preferences peculiarities that distinguish each user. So we group a set of patterns each with its appropriate weight for each learner, through which one can determine the corresponding values of each characteristics in Learning Style Model. Once this is accomplished, we come to calculate the value of distinct preference for each profile, and the value of the confidence level based on the availability of data on each learner associated to each characteristic. To validate our model, which is still in experimental stage, we stage of implementation of the necessary tools. Once confirmation is made, the model will be used as an analytical tool.
Keywords: Adaptive hypermedia system, learner model, learning styles.

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