Main Idea: Green computing reduces the environmental impact of computing practices.
Focus on ener... more Main Idea: Green computing reduces the environmental impact of computing practices. Focus on energy efficiency, resource conservation, and waste reduction. The role of Machine Learning (ML) and Artificial Intelligence (AI) in enhancing energy use optimization and sustainability. Impact on energy consumption, carbon footprint, and electronic waste management
This poster introduces the new techniques to achieve the complicated operations done with the hel... more This poster introduces the new techniques to achieve the complicated operations done with the help of fixtures. The computer-aided structural analysis and simulations have been performed to study the stress and deformation of mechanical components in assembly process
Filtering Approach for Detection of Lung Nodule Using X-ray
Lung tumor is one of the most serious cancers in the world. Longevity from lung cancer is directl... more Lung tumor is one of the most serious cancers in the world. Longevity from lung cancer is directly related to its rise at its exposure. The earlier the exposure is, the higher the chances of successful treatment. Lung image has been used for detecting lung cancer for a long time. The initial exposure and analysis of cancerous nodules in chest X-ray image are among the most required scientific tasks performed by radiologists. In this paper, processing the X-ray images using various image processing algorithms like Gray scale algorithm, Thresholding algorithms, Histogram Operation and various other techniques. Input X-ray image filtered two times first we use spherical kernel for noduleenhanced image, and second median filter is used to obtain a tumor suppressed image. Blob detection then obtained by subtraction of the two filtered images. The previous work on computer aided identification of tumor images in chest radiograph depends mainly on edge identification & enhancement. Previou...
Review: Data Driven Traffic Flow Forecasting using MapReduce in Distributed Modelling
from last decade, the use of communication and transportation technology increases in urban traff... more from last decade, the use of communication and transportation technology increases in urban traffic management system. To predict the correct result forecasting technique is used. Furthermore, as more data are collected, increase in traffic data. In short, traffic flow forecasting system find out collection of historical observations for records similar to the current conditions and uses these to estimate the future state of the system. In this paper we focus on data driven traffic flow forecasting system which is based on MapReduce framework for distributed system with Bayesian network approach. For probability distribution of data between two adjacent node i.e. data used for forecasting(Input node) and data which is forecasted (output node) used a Gaussian mixture model (GMM) whose parameters are updated using Expectation Maximization algorithm. Finally focus on model fusion, main problem in distributed modelling for data storage and processing in traffic flow forecasting system. ...
Entrevista a Bibiana Campos Seijo, Editora en jefe de Chemical and Engineering News (C&EN)
Anales de Química, 2017
Bibiana Campos Seijo es editora en jefe de Chemical and Engineering News (C&EN), la revista seman... more Bibiana Campos Seijo es editora en jefe de Chemical and Engineering News (C&EN), la revista semanal de la American Chemical Society.
As the cloud computing development creates the most recent decade, outsourcing information to clo... more As the cloud computing development creates the most recent decade, outsourcing information to cloud service for storage turns into an attractive example, which benefits in saving efforts on substantial information maintain and manage, In any case, following the outsourced cloud storage is not completely reliable, it raises security worries on the most capable method to recognize information deduplication in cloud while accomplishing Integrity Auditing. In this work, the issue of integrity auditing and secure deduplication on cloud information. Specifically, going for accomplishing both information integrity and deduplication in cloud, in this propose two protected frameworks, to be specific SecCloud and SecCloud+ with additionally block level deduplication is achieve for saving the storage space of cloud. SecCloud presents an auditing substance with an maintain a MapReduce cloud, which assists clients with producing information tags before transferring and in addition audit the inte...
Computational Study of Poppet Valves on Flow Fields
I hereby release this thesis to the public. I understand that this thesis will be made available ... more I hereby release this thesis to the public. I understand that this thesis will be made available from the OhioLINK ETD Center and the Maag Library Circulation Desk for public access. I also authorize the University or other individuals to make copies of this thesis as needed for scholarly research. Signature:
International Journal for Scientific Research and Development, 2015
There have been very large no deaths and injuries due to tsunamis caused so far till date. People... more There have been very large no deaths and injuries due to tsunamis caused so far till date. People in surrounding region of tsunami centers are at very high risk of loosing their lives. While rare, high-impact tsunamis have the potential to cause widespread destruction. Displacement and damage to infrastructure are also important contributors to the human, social, and economic effects of tsunamis .Hence some smart system is necessary to detect tsunamis in advance and alert people in the near by region about it. This may help people to get to on large surface ground or higher at multistory building. Eventually large no of lives could be saved. So we are using smart wireless sensor network to detect tsunamis and then this information is wirelessly transmitted to control room and there onwards people whose entries have been registered into database of computer would be given alert by sending messages by means of GSM module used at control room.
Diabetes mellitus is one of the world’s major diseases. It currently affects an estimated143 mill... more Diabetes mellitus is one of the world’s major diseases. It currently affects an estimated143 million people worldwide and the number is growing rapidly. In the India, about 1-5% population suffer from diabetes or related complication. So there is need to cure this disease. Anti-diabetic drugs treat diabetes mellitus by lowering glucose levels in the blood. With the exceptions of insulin, exenatide, and pramlintide, all are administered orally and are thus also called oral hypoglycemic agents or oral antihyperglycemic agents. There are different classes of anti-diabetic drugs, and their selection depends on the nature of the diabetes, age and situation of the person, as well as other factors. Diabetes mellitus type 1 is a disease caused by the lack of insulin. Insulin must be used in Type 1, which must be injected or inhaled. Diabetes mellitus type 2 is a disease of insulin resistance by cells. Treatments include agents which increase the amount of insulin secreted by the pancreas, a...
Numerous techniques are projected by several researchers for written also as written character an... more Numerous techniques are projected by several researchers for written also as written character and numeral gratitude. Recognition is the method of exchange of written text into computer legible type. To achieve the most effective accuracy of any recognition system the choice of feature extraction and categorization technique is critical. The information concerning the character is collected by the options and as a result, classifiers categorize the character decidedly. For written characters there is a unit drawback love it differs from one author to another, even once the same person writes the same character variety of times there's a division in form, size, and position of the character. Newest analysis during this space has used frequent styles of the method, classifiers, and options to reduce the complexness of recognizing written text. During this paper, benefits and downsides of 2 diverse techniques of feature extraction and sorting are mentioned. Keywords—component HCR, ...
International Journal of Advanced Trends in Computer Science and Engineering, 2020
Multi Authority Cipher-text-policy Attribute-Based Encryption (MA-C-ABE) scheme is a modern form ... more Multi Authority Cipher-text-policy Attribute-Based Encryption (MA-C-ABE) scheme is a modern form of basic cryptographic and data encryption, which is useful for data cloud storage for fine-grained access control. Multi-Keyword searchable encryption process allows legitimate users to quickly identify useful data stored in a cloud server without disclosing the searched keywords relevant data. Nonetheless, most of the preceding multi-authority attributebased models are just considered to be true in poor design or lack of user revocation performance. In this study, it includes a multi-keyword searchable attribute-based encryption technique with a cloud-based attribute update, which is a hybrid of the attribute-based encryption algorithm and multi-keyword searchable encryption technique. It provide a Multi-Keyword Searchable Cipher-text-Attribute-based Encryption (MK-C-ABE) with user revocation to solve the existing issues in cloud services, where access mechanisms are partially hidden so that recipients may never extract confidential data from the ciphertext. However, based on the idea of Bi-Linear (BL) and Bi-Linear Diffie-Hellman (BDH), our framework is proven to be safe toward specifically selected keyword attacks and selectively identified ciphertext attacks, and other ensuring privacy protection.
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Papers by Prashant Mane
Focus on energy efficiency, resource conservation, and waste reduction.
The role of Machine Learning (ML) and Artificial Intelligence (AI) in enhancing energy use optimization and sustainability.
Impact on energy consumption, carbon footprint, and electronic waste management