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Research Paper

COVID-19 facemask and Social Distancing Detector

The world is facing a huge health crisis due to the rapid transmission of COVID-19. The World Health Organization (WHO) issued several guidelines for protection against the spread of coronavirus. The impact of COVID-19 has fallen on almost all sectors of development, mainly the healthcare system is going through a crisis. According to WHO, the most effective preventive measure against COVID-19 is wearing a mask and maintaining social distance in public places. This paper introduces face masks and social distancing detectors that can be used by the authorities to make mitigation, evaluation, prevention, and action planning against COVID-19 which is causing a health crisis. Detection of people who are not wearing masks and not maintaining social distance is a challenge due to the Outbreak of the Coronavirus pandemic which has created various problems. This paper aims at explaining the design of a system that helps in solving the above issues, i.e detection of mask and social distance.

Published by: Mansi Jha, Priya G. M., Nisha, Pallavi N.

Author: Mansi Jha

Paper ID: V7I4-1214

Paper Status: published

Published: July 6, 2021

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Review Paper

Review on Improving the capacity of black cotton soil by using different materials example bio-enzymes and bagasse ash, etc.

Soil is the main part of the foundation; it is very important to build a strong and durable structure. If soil is not stable then, there may cause the failure of the structure. In black cotton, the soil has a very low bearing capacity and high swelling and shrinkage characteristics it forms a very poor foundation, that cannot be affordable, India is the largest area occupied by black cotton soil. India is an agricultural country that comes in the top ten countries in the world it contributes many times through the agricultural field. India consists of 30-40% of Black cotton soil. Maharashtrian Western produces sugarcane on a large scale and bagasse formed by sugarcane. And to improve the strength of soil the stabilization (making more stable) of soil by conducting experiments on Black cotton soil by replacing bagasse ash (4%, 8%,12%,16%,20%). Another material mixed in black cotton soil is bio-enzyme (Terrazyme) with different dosages of 250ml/2m^3,250ml/1.5m^3,250ml/1m^3,250ml/0.5m^3 respectively. Due to this the strength of soil increases.

Published by: Shaikh Pirsab Maqbulsab, Ghogare Satyajeet, B. R. Lagad, Dr. S. R. Bhagat

Author: Shaikh Pirsab Maqbulsab

Paper ID: V7I4-1222

Paper Status: published

Published: July 6, 2021

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Research Paper

The efficiency of food waste material for the removal of metal and metalloid from a multi-element solution

Excessive release of wastewater particularly rich in heavy metals from industrial activities is a critical environmental problem worldwide. Many metals, which are toxic and can cause various environmental problems Therefore, their removal from polluted solutions becomes one of the focuses of environmental remediation. The studies have shown the potential of food waste materials as low cost adsorbents for the removal of heavy metals and toxic elements from wastewater. Adsorption processes are being widely used by various researchers for the removal of heavy metals from waste streams and activated carbon has been frequently used as an adsorbent. Despite its extensive use in water and wastewater treatment industries, activated carbon remains an expensive material. In this study, the adsorption capacities of food waste materials along with agricultural and industrial waste by-products such as rice husk and fly ash were evaluated by comparing the adsorbents’ efficiency for the removal of elements from complex element solutions, maintaining homogeneous experimental conditions. The examined materials resulted to be extremely efficient for the adsorption of many elements from multi-element solutions as well as from a heavy metal wastewater. The objective of this research is to study the utilization possibilities of less expensive adsorbents for the elimination of heavy metals from wastewater.

Published by: Nazrin Riyas, Shabins Basheer, Asna Binu, Arjun T. A., Rashida P. K.

Author: Nazrin Riyas

Paper ID: V7I4-1195

Paper Status: published

Published: July 6, 2021

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Research Paper

Management of fractured endodontic instruments by file bypass technique: A report of two cases

The separation of an endodontic instrument within the root canal system can be one of the most stressful and unpleasant situations with which the clinician can be confronted. These fractures often occur due to incorrect use of instruments. Different devices and techniques have been developed to retrieve fractured instruments during the endodontic procedures The clinician is confronted with a few options when considering this situation. These options can include leaving the fragment where the fracture occurred and incorporating the fragment to form part of the final obturation or removal from the root canal. It can be stated that the bypass technique can be considered a simple and effective technique for the management of broken instruments into the root canal.

Published by: Dr. Pradnya V. Bansode, Dr. Seema D. Pathak, Dr. Madhuri B. Wavdhane, Lipsita Priyadarshini

Author: Dr. Pradnya V. Bansode

Paper ID: V7I4-1220

Paper Status: published

Published: July 6, 2021

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Research Paper

Advance skin diseases diagnosis and leaveraging using image processing

Air pollution has a variety of effects on human skin. In heavily populated areas, skin problems are very frequent. These diseases have a severe effect on people's life because they create a significant demand for disease diagnosis. The suggested study on a skin disease detection system uses image processing to get an accurate diagnosis. By studying the input image, the process detailed here seeks to discover skin illness. Filtering the input to eliminate noise, converting the image to a grayscale image, and image segmentation are all part of the approach. Feature extraction is used to reduce the quantity of data that the classifier has to process. The SVM (Support Vector Machine) is then used in the image classification to identify the skin disease. The greater use of technology has resulted in a more efficient and accurate manner of diagnosing the disease, allowing it to be treated more quickly. Skin illnesses such as rosacea, melanoma, psoriasis, and acne can be detected with an accuracy of 89 percent using the proposed method.

Published by: Akhil Reddy, Raghupathi Reddy, Shiva Kumar, Dr. K. Sateesh Kumar

Author: Akhil Reddy

Paper ID: V7I4-1219

Paper Status: published

Published: July 6, 2021

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Research Paper

Web application security – Automating the manual exploitation methods and eliminating false positives

Many web application security scanners are prone to false alarms indicating that your website is vulnerable when it isn’t. False positives are a major problem in web application security, as they make security testing slower, less accurate and more frustrating. Proof-Based Web Vulnerability Scanning Technology in DevSecOps/SecDevOps environment will let you eliminate security vulnerabilities as early as possible, helping you save a lot of resources. It would automatically exploit identified web security vulnerabilities and also produce a proof of exploits that confirms that the identified vulnerabilities are genuine and not false positives. In this paper we present a technique to find web vulnerabilities using our proposed algorithm and provide extracted sample data as proofs. Our tool identifies vulnerabilities with the same level of certainty as a penetration tester or bounty hunter. This will assist developers and security teams in fixing vulnerabilities in less possible times.

Published by: Jayshish M. Popat, Mohammad Ashar Nawab, Asuri Ritesh Kumar, Nishant Prakash, Manjula M.

Author: Jayshish M. Popat

Paper ID: V7I4-1208

Paper Status: published

Published: July 6, 2021

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