Self-wound analysis using Machine Learning and Image Processing
The significance of powerful surgical wound care can never be underestimated. Poorly managing surgical wounds may reason many critical complications. As a result, it increases. The necessity to broaden a patient-friendly self-care device which can assist both sufferers and clinical specialists to ensure the Nation of the surgical wounds without any unique medical equipment. On this paper, a surgical wound evaluation gadget for Self-care is proposed. The proposed machine is designed to allow patients seize surgical wound pictures of themselves with the aid of the usage of a cellular tool and add these pix for evaluation. Combining Image-processing and gadget-gaining knowledge of strategies, the proposed approach consists of four levels. First, photos are segmented into superpixels wherein each superpixel carries the pixels within the comparable shade distribution. 2nd, these superpixels corresponding to the pores and skin are recognized and the area of related skin Superpixels is derived. 1/3, surgical wounds can be extracted from this place primarily based on the statement of the texture distinction between skin and wounds. Ultimately, country and signs and symptoms of surgical Wound may be assessed. Full-size experimental effects are Conducted. With the proposed method, greater than 90% of country evaluation consequences are correct, and greater than ninety one% of symptom evaluation results consistent with the real analysis. Furthermore, case studies are furnished to show the benefit and trouble of this machine. Those results display that this device should perform
Published by: Varun Ganesh, U. Nomesh
Author: Varun Ganesh
Paper ID: V7I3-1767
Paper Status: published
Published: June 10, 2021
ERP system for large scale business vs small & mid-scale business
Enterprise resource planning (ERP) System is being used for the last 15 to 20 years and This research paper attempts to identify and explore the main issues affecting large scale businesses as well as small and medium scale businesses regarding the implementation of ERP System in enterprises. In this paper manufacturing companies are ranging in size from million dollars to over billion dollars as per their annual turnover. Basically, this research paper highlights the main issues where the different methods or solutions are to be applied according to the organization's scale. Except this also the benefits get differed by company size as small and medium companies gets some limitations compared with large companies. Large companies get financial improvement and economically better results whereas these smaller and mid-size organizations get better results in Production as well Logistics and manufacturing sectors.
Published by: Savita Virkar, Lavina Jadhav
Author: Savita Virkar
Paper ID: V7I3-1761
Paper Status: published
Published: June 10, 2021
Enriching Indoor and outdoor Fire Detection through CNN
Fire is a highly useful as well as a dangerous resource that has been utilized by humans since centuries. The only type of fire that is highly useful is the type of fire that is controlled and the energy generated can be used for different purposes. But not all fires are like that and some fires can be extremely devastating. These fires can become large and take down acres and acres of forests leading to extreme death and destruction. There have been recent and highly devastating fires that have rocked major rainforests and decimated a lot of wildlife close to extinction and endangerment. These fires can be stopped if detected when they are in their starting stages and lead to effective reduction in the destruction. There are several techniques such as sensors and other equipment that have been useful in the detection of the fire, but they have not been highly effective and efficient in the deployment. Therefore, an image processing based approach is defined in this research article to achieve effective realization of the fire detection. The proposed approach utilizes Convolutional Neural Networks along with Decision Tree to achieve the effective Fire detection. The experimental results confirm the accurate deployment of the fire detection mechanism.
Published by: Swapnali Kamble, Vaishnavi Sade, Rutuja Kamble, Sumedh Patil, Shubhangi Ingale, Shalaka Deore
Author: Swapnali Kamble
Paper ID: V7I3-1752
Paper Status: published
Published: June 10, 2021
A study on WiTricity (Wireless Electricity Technology)
Here we are going to discuss on , Wireless Electricity Transmission which is a valuable innovation that can be utilized to gather sun-based energy(solar energy) and focus on the earth surface in the absence of the wire association called a sunlight based force satellites (SPS) Since the remote force transmission consolidates numerous hypotheses and clarified by numerous techniques, here we are discussing about the various strategies utilized for the remote power. This connector is associated with a waveguide ferrite circulator which shields the microwave source from the reflected force. In their benefits, drawbacks and conservative thought will likewise be introduced.
Published by: Shubham Sunil Tambade, Lavina Jadhav
Author: Shubham Sunil Tambade
Paper ID: V7I3-1719
Paper Status: published
Published: June 10, 2021
Pneumonia: Medical Image Analysis
Pneumonia is an infectious and deadly illness in the respiratory tract that is caused by bacteria, fungi, or a virus that infects the human lung air sacs with the load full of fluid or pus. Chest X-rays are the common method used to diagnose pneumonia and it needs a medical expert to evaluate the result of X-ray. The troublesome method of detecting pneumonia causes a life loss due to improper diagnosis and treatment. With the emerging computer technology, development of an automatic system to detect pneumonia and treat the disease is now possible especially if the patient is in a distant area and medical services are limited. This study intends to incorporate deep learning methods to alleviate the problem. Convolutional Neural Network is optimized to perform the complicated task of detecting diseases like pneumonia to assist medical experts in diagnosis and possible treatment of the disease.The result achieved a 93 percent accuracy rate for CNN with Gamma and the lowest rate is 79.9 %percent achieved by the CNN model. Convolutional neural network (CNNs) has achieved state-of-the-art performance for automatic medical image segmentation. However, they have not demonstrated sufficiently accurate and robust results for clinical use. In addition, they are limited by the lack of image-specific adaptation and the lack of generalizability to previously unseen object classes. Medical datasets are often highly imbalanced with over representation of common medical problems and a paucity of data from rare conditions. We propose simulation of pathology in images to overcome the above limitations.
Published by: Shubham Sharma, Shubham Kamble, Shlok Hegde
Author: Shubham Sharma
Paper ID: V7I3-1696
Paper Status: published
Published: June 10, 2021
Bacteriological analysis of different types of fresh fruit juices from market
Bacteriological analysis of samples of fresh orange and pineapple juices collected from different shops confirmed the presence of bacteria. The isolated bacteria were identified as Escherichia coli and Staphylococcus aureus by employing techniques like Microscopy, Culture and Biochemical Reactions. The presence of Staphylococcus aureus and Escherichia coli may be interpreted respectively as contamination of fruit juices by the bacteria present on the skin surface of the juice maker or by the bacteria present on the water used for preparing those fresh juices. It has been proved that Staphylococcus aureus can exist as commensals on skin. Similarly E.coli being a common water contaminant can easily contaminate fresh juice. Hence it is advised to take necessary precautions to avoid bacterial contamination of juices during the preparation of fresh juices without preservatives. This can be achieved by proper hand washing techniques before juice preparation and also by using filtered cold water for juice preparation. In order to suggest a suitable therapeutic regimen in case of infections occurred during the consumption of such contaminated juices, antibiotic susceptibility testing of Escherichia coli and Staphylococcus aureus was done using antibiotics like Amoxicillin, Chloramphenicol, Tetracycline and Streptomycin. From the results obtained it has been assumed that Amoxicillin was more effective against both Staphylococcus aureus and Escherichia coli. The antibacterial effects of Amoxicillin, Chloramphenicol, Tetracycline and Streptomycin against Staphylococcus aureus and Escherichia coli showed the biocide effects of these antibiotics against the Gram positive and Gram negative bacteria.
Published by: Annamma Alex, Athira Omanakuttan, Renji Varghese
Author: Annamma Alex
Paper ID: V7I3-1658
Paper Status: published
Published: June 9, 2021
