Linearity of Feature Extraction Techniques for Medical Images by using Scale Invariant Feature Transform

In Machine Learning, Pattern Recognition and in the field of image processing, Feature Extraction starts from an initial set of the measured data. Builds derived values are intended to be informative and non redundant, facilating the subsequent learning and in some cases leading to the better human interpretations. Feature Extraction is a dimensionally reduction process, where an initial set of raw variables has been reduced to more manageable groups. Many data analysis software packages provide for feature extraction and for dimension reduction. Determining a subset of the initial features is also known as feature extraction. Common Numerical programming environments are MATLAB, SciLab, NumPy, etc. 

Ramar S | Keerthiswaran V | Karthik Raj S S ""Linearity of Feature Extraction Techniques for Medical Images by using Scale Invariant Feature Transform""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30358.pdf

Paper Url :https://www.ijtsrd.com/engineering/bio-mechanicaland-biomedical-engineering/30358/linearity-of-feature-extraction-techniques-for-medical-images-by-using-scale-invariant-feature-transform/ramar-s

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Design and Evaluation of Ankle Reconstruction

Ankle reconstruction is a fairly new concept and is one of the popular treatment for ankle fractures and arthritis. Ankle reconstruction aims to offer a successful alternative to arthrodesis, the existing mainstay and gold standard surgical procedure for disabling ankle arthritis. The surgeon fits the talus bone of the upper foot and the tibia bone at the end of the lower leg with metal components made of cobalt chromium alloy with pure titanium where they comes in contact with bone. This project focuses on modelling and 3D printing of a prosthetic talocrural joint. The standard sizes of tibia which is the longer base of lower leg and talus being lower part of the ankle joint are observed and modelled accordingly by using CATIA with standard dimensions. The prototype is made with PLA plastic using an FDM Fused Deposition Modelling 3D printer. The analysis test carried on ANSYS by applying human weight on the tibial surface and physical tests are conducted on universal testing machine. The compressing force is applied on the prototype and observed till failure. Results obtained are compared for static position of the foot of both analytical and physical outcomes. 

by A. Kranthi Kumar | B. Sai Krishna | B. Sai Ram | Mr. P. Naresh ""Design and Evaluation of Ankle Reconstruction""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30327.pdf

Paper Url :https://www.ijtsrd.com/engineering/mechanical-engineering/30327/design-and-evaluation-of-ankle-reconstruction/a-kranthi-kumar

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Performance Analysis of Fading Channels on Cooperative Mode Spectrum Sensing Technique for Cognitive Radio

Spectrum sensing is the main feature of cognitive radio technology. Spectrum sensing gives an idea of detecting the presence of the primary users in a licensed spectrum. The sensing of radio spectrum is an essential problem in cognitive radio CR networks, where secondary users SUs need to detect the presence of primary users PUs before they use the spectrum allocated to PUs. The detection of primary user status and the spectrum sensing are the major issues in cognitive radio systems. We employ one of the simplest and most efficient Spectrum Sensing technique, the cooperative spectrum sensing with three different digital modulation techniques BPSK, QPSK, 16 QAM. In this paper, we analyze the performance of the cooperative spectrum sensing technique with BPSK, QPSK, 16 QAM modulation techniques over Rayleigh fading Channel. Further, we analyze the performance and BER Bit Error Rate of cooperative spectrum sensing under Rayleigh fading and AWGN channels. The investigation and analysis on cooperative spectrum sensing with above digital modulation techniques can be utilized for future reference of spectrum sensing in the CR networks over AWGN and Rayleigh fading channels. 

by Sangram Singh | Rashmi Raj ""Performance Analysis of Fading Channels on Cooperative Mode Spectrum Sensing Technique for Cognitive Radio""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30338.pdf

Paper Url :https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30338/performance-analysis-of-fading-channels-on-cooperative-mode-spectrum-sensing-technique-for-cognitive-radio/sangram-singh

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Gesture Based Communication System

Gesture based communication system is designed keeping in mind the communication needs of the people who are either bedridden or suffer from some kind of speech impairment. The main benefit of this system is that it's not necessary for some other person to be present with the bedridden person always by providing message services. It is a microcontroller based system that uses buttons present on the glove to display on a screen and play a particular message through speaker that is already stored in the system and uses joystick to compose a message not present in the system and to send the same to a person not physically there. The person can also communicate with the disabled person through a software to ensure 2 way communication. In this way, this project will help to lower the communication gap between poorly abled and normal people. 

by Heebatullah | Zarka Latief | Nazish Ara | Sumyra Jan | Bazila Nazir ""Gesture Based Communication System""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30230.pdf

Paper Url : https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30230/gesture-based-communication-system/heebatullah

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Care – Max for Drowsiness Detection and Notification

This project proposes drowsiness detection and notification system for vehicles and a mobile application for car maintenance. The major objective of the system is to prevent the road accidents caused by driver falling asleep during the travel. The system for drowsiness detection has a camera that monitors the driver’s eye continuously. It calculates the eye aspect ratio to detect if the driver is drowsy. If found drowsy, alarm rings. In this project, a Raspberry Pi board is used for drowsiness detection and alerting the driver. The IoT based mobile application built using android studio proposed here has certain settings like next service date, interval for wheel air checking, interval for wheel alignment. The app is connected to the system using IoT. The information is sent to the system. These settings are notified to the driver through a voice module. 

R N Susheel | B M Mathumitha | Mr. C Raju ""Care – Max for Drowsiness Detection and Notification""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30303.pdf

Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/30303/care-%E2%80%93-max-for-drowsiness-detection-and-notification/r-n-susheel

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MRI Brain Image Segmentation using Fuzzy Clustering Algorithms

MR image segmentation assumes a significant job and a significant job in the restorative field because of its assortment of utilizations particularly in Brain tumor investigation. Cerebrum tumor is an unusual and uncontrolled development of cells. It occupies room inside the skull. It can pack, move and damage solid cerebrum tissue and nerves. Additionally as a rule it deter with ordinary mind work. Tumors can be kindhearted non dangerous or threatening malignant , can occur in various pieces of the cerebrum. Cerebrum tumor arrangement and ID from Magnetic Resonance MR information is a fundamental. However, it requires some serious energy and manual errand finished by restorative pros. Mechanizing this undertaking is a difficult due to the high assortment in the vibe of tumor tissues among various patients and by and large similitude with the ordinary tissues. Right now, tumor picture has been portioned utilizing proposed Fuzzy grouping calculation FCM . The presentation of FCM division strategy is contrasted and those of watershed and SVM calculations. 

Pavithra. R | E. Sivaraman ""MRI Brain Image Segmentation using Fuzzy Clustering Algorithms""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30316.pdf

Paper Url :https://www.ijtsrd.com/engineering/electrical-engineering/30316/mri-brain-image-segmentation-using-fuzzy-clustering-algorithms/pavithra-r

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Comparative Assessments of Contrast Enhancement Techniques in Brain MRI Images

Image processing plays a significant role in the medical field, particularly in medical imaging diagnostics, which is a growing and challenging area. Medical imaging is advantageous in diagnosis and early detection of many harmful diseases. One of such dangerous disease is a brain tumor medical imaging provides proper diagnosis of brain tumor. This paper will have an analysis of fundamental concepts as well as algorithms for brain MRI image processing. We have adhered several image processing steps on brain MRI images, conducting specific contrast enhancements and segmentation techniques, and evaluating every techniques performance in terms of evaluation parameters. The methods evaluated based on two measurement criteria, Peak Signal to Noise Ratio PSNR and Mean Square Error MSE , namely Contrast Stretching, Shock Filter, Histogram Equalization, Contrast Limited Adaptive Histogram Equalization CLAHE . This comparative analysis will be handy in identifying the best way for medical diagnosis, which would be the best method for providing better performance for brain MRI image analysis than others. 

Anchal Sharma | Mr. Mukesh Kumar Saini ""Comparative Assessments of Contrast Enhancement Techniques in Brain MRI Images""
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30336.pdf

Paper Url :https://www.ijtsrd.com/engineering/bio-mechanicaland-biomedical-engineering/30336/comparative-assessments-of-contrast-enhancement-techniques-in-brain-mri-images/anchal-sharma

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