Wednesday, April 28, 2021

Implementation of Medical Image Analysis using Image Processing Techniques

 Clinical imaging is playing a fundamental limit in assessment and patching of affliction and discovering tumors and finding of threatening cells in less than ideal stage. As a standard system for perceiving bone features, is minute pictures were used. These photos are secured by using small radiography, where it expected to reiterated, drawn out and work raised measure. This method cant recognize the destructive cells because of the presence of uproar in the photos. Hence there is a necessity for automated and strong strategies to finish the image planning examination. As a first stage, the most fundamental piece of picture planning is to denoising without barging in on the diagnostics information during the clearing of commotion. The past collaboration disposes of the uproar and present fog in the image. To get precise picture getting ready, we have executed fragile and hard breaking point with various coefficients and to check the edge Visu wither was used. It was found that the Wavelet deionsing gadget was a helpful resource for picture improvement. In the gathering, our proposed work was connected with pre planning methodology to wipe out the noise and to get smooth pictures. This collaboration will help with improving the idea of the image and besides take out the fake areas. To recognize the presence of bone illness and to choose its stage, K infers estimation was used and thusly to get smooth picture, edge division measure was performed. 

by Miss. Kode Keerthi | Mr. Parasurama N "Implementation of Medical Image Analysis using Image Processing Techniques" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd39893.pdf 

Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/39893/implementation-of-medical-image-analysis-using-image-processing-techniques/miss-kode-keerthi

internationaljournalofmanagement, callforpapermanagement, managementjournal 

Sunday, April 25, 2021

Development of 3D Website Along with VFX and Animation

This paper focuses on the development of 3D web application by designing dynamic 3D model with the help of VFX and animation. 3D Modeling can create the static exposure of product but VFX and animation adds dynamic effects for real time rendering of product. Real time rendering and interactive roaming gives a detailed view of the 3D objects created. Firstly, Blender software was used to design a raw 3D model of a swiss knife and, VFX and animation were applied to add dynamics and interactive features to this model. Verge3D online application was used to define functions that HTML can perform on different parts of the model designed. Lastly, Google web designer was employed to develop an HTML page where we have placed HTML embedded 3D model retrieved from Verge3D. In addition to this, different buttons were placed and linked in the website to allow user to perform different functions defined in Verge3D. 


by Surya Prakash Uniyal | Shivam Amoli | Vipul Kumar Singh | Prashant Chaudhary "Development of 3D Website Along with VFX and Animation" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advances in Engineering, Science and Technology - 2021 , May 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd42459.pdf 

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/42459/development-of-3d-website-along-with-vfx-and-animation/surya-prakash-uniyal

callforpaperarts, artsjournal, peerreviewedjournal

Saturday, April 24, 2021

Agricultural Waste Materials as Potential Adsorbent for Treating Industrial Waste Water

Nowadays, the people suffer a lot due to water pollution and it becomes a serious problem. Therefore, it is very important to minimize the water pollution and utilize the treated waste water for domestic purpose. The principle objective of waste water treatment is to use the water for the domestic purpose without causing any damage to the human health and environment. The waste water from dyeing industries is treated by using agricultural waste such as Saccharum Officinarum leaves, Curcuma Longa leaves, CocosNucifera shell, Rice husk and Saw dust and compares the physical properties of this treated water with the distilled water and drinking water. The agro waste added as 10g, 20g and 30g to the 1000 ml wastewater and leaves it for a period of 1day, 3days, 5days, 7days and 9days and then tested. As a result, addition of 20g of CocosNucifera shell powder in 1000 ml waste water reduces pH and concentrations greatly than other agricultural waste used. Then the color of wastewater can be removed by using coconut shell ash within a period of 2 to 3 days. This study is conducted for the purpose of knowing how efficiently the wastewater could be treated and utilized for domestic purpose using low cost adsorbent such as agricultural waste. 


by S. Shanmathi | Dr. M. Gunasekaran | A. K. Arunagiri Murugan | Dr. S. Christian Johnson "Agricultural Waste Materials as Potential Adsorbent for Treating Industrial Waste Water" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd39995.pdf 

Paper URL: https://www.ijtsrd.com/engineering/civil-engineering/39995/agricultural-waste-materials-as-potential-adsorbent-for-treating-industrial-waste-water/s-shanmathi

ugcjournallist, listofugcapprovedjournals, researchpublication

Color Based Object Tracking with OpenCV A Survey

Object tracking is a rapidly growing field in machine learning. Object tracking is exactly what name suggests, to keep tracking of an object. This method has all sorts of application in wide range of fields like military, household, traffic cameras, industries, etc. There are certain algorithms for the object tracking but the easiest one is color based object detection. This is a color based algorithm for object tracking supported very well in OpenCV library. OpenCV is an library popular among python developers, those who are interested in Computer vision. It is an open source library and hence anyone can use and modify it without any restrictions and licensing. The Color based method of object tracking is fully supported by OpenCVs vast varieties of functions. There is little bit of simple math and an excellent logic behind this method of object tracking. But in simple language the target object is identified from and image given explicitly by user or some area selected from frame of video, and algorithm continuously search for that object from each frame in video and highlights the best match for every frame. But like every algorithm it also has some pros and cons which are discussed here. 


by Vatsal Bambhania | Harshad P Patel "Color Based Object Tracking with OpenCV - A Survey" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd39964.pdf 

Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/39964/color-based-object-tracking-with-opencv--a-survey/vatsal-bambhania

callforpaperchemistry, chemistryjournal, openaccessjournalofchemistry, ugcapprovedjournalsforchemistry

Cultivation of Crops using Machine Learning and Deep Learning

To assist you with the entire farming operation, we use cutting edge machine learning and deep learning technologies. Make educated decisions about your areas demographics, the factors that influence your crop, and how to keep them safe for a super awesome good yield. With the rise of big data technology and high performance computing, machine learning has opened up new possibilities for data intensive research in the multi disciplinary agri technologies domain. a Plant disease forecast, b fertilizer recommendation, and c crop recommendation The papers presented have been filtered and classified to show how machine learning technology can support agriculture. Farm management systems are evolving into real time artificial intelligence powered programmes that provide rich suggestions and insights for farmer decision support and action through applying machine learning to sensor data.


 

by Ms. A. Benazir Begum | Ajith Manoj | Nithya E | Anamika S S | Sneshna "Cultivation of Crops using Machine Learning and Deep Learning" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd39891.pdf 

Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/39891/cultivation-of-crops-using-machine-learning-and-deep-learning/ms-a-benazir-begum

callforpaperphysics, physicsjournal

A Review on Credit Card Default Modelling using Data Science

In the last few years, credit card issuers have become one of the major consumer lending products in the U.S. as well as several other developed nations of the world, representing roughly 30 of total consumer lending USD 3.6 tn in 2016 . Credit cards issued by banks hold the majority of the market share with approximately 70 of the total outstanding balance. Bank’s credit card charge offs have stabilized after the financial crisis to around 3 of the outstanding total balance. However, there are still differences in the credit card charge off levels between different competitors. 


by Harsh Nautiyal | Ayush Jyala | Dishank Bhandari "A Review on Credit Card Default Modelling using Data Science" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advances in Engineering, Science and Technology - 2021 , May 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd42461.pdf

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/42461/a-review-on-credit-card-default-modelling-using-data-science/harsh-nautiyal

callforpaperlifesciences, lifesciencesjournal, researchpapers

Friday, April 23, 2021

Water Saving Irrigation Technology Uses

This article presents the results of field experiments of the authors in theoretical and natural conditions. Field experiments were carried out on the territory of the Hodjayakshaba MFY of Kagan district, Bukhara region. The technology of muddy water irrigation for drip irrigation of gardens has been developed. The implementation of drip irrigation technology in intensive gardens has resulted in a 20 60 reduction in water consumption on arable land, up to 50 on mineral fertilizers and up to 30 on fuel and lubricants. Also, the level of ground water does not rise due to the irrigation water requirements of the plant and excessive water supply, low water evaporation from the soil, as well as uniform moisture throughout the field. 


by I. J. Xudayev | J. Sh. Fazliev | A. U. Madirimov "Water-Saving Irrigation Technology Uses" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Development of Modern Research , April 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd41159.pdf 

Paper URL : https://www.ijtsrd.com/engineering/agricultural-engineering/41159/watersaving-irrigation-technology-uses/i-j-xudayev

callforpaperpharmacy, pharmacyjournal, internationalpeerreviewedjournal