1,271 research outputs found

    To Design a Circuit Diagram for Mute Keypad Vocalizer using ARDUINO UNO

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    Mute input device Vocalizer could be a massive scale microcontroller based mostly system being designed to facilitate the communication among the dumb and deaf individuals by manufacturing a speech and text signal. This system can be dynamically reconstructed to work as a "smart device". In this paper, microcontroller and sensors based mute keypad vocalizer is presented. Mute keypad vocalizer discussed is basically a speaker and a keypad equipped microcontroller based system. Keypad sensor can detect the pressing of keys and microcontroller based system converts some specified key values into speech signals. The vocalizer is equipped with a keypad module and an audio processing unit. This system is beneficial for dumb and deaf people. Aditi Pandey | Bharti Dewangan | Deepak Pancholi "To Design a Circuit Diagram for Mute Keypad Vocalizer using ARDUINO UNO" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd11688.pd

    Pandey\u27s Method of Cube Root Extraction: Is it Better than Aryabhata’s Method?

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    We compare two methods of cube root extraction: one proposed by the Nepali mathematician Gopal Pandey in the 19th century, which uses proportionality, and another one provided by the Indian mathematician and astronomer Aryabhata

    STEM CELL IN PHARMACEUTICAL PRODUCT- BOON TO MANKIND

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    Deepak Pokharkar*, Amruta Kulkarni, Lawanya Lata Pandey and Rupesh Pingal

    My Name Is Deepak

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    This chapter looks at the author's responses to being given a nickname by his co-workers: Tupac. They do it in a friendly manner, but the author doesn’t understand the connection with the American rapper. It makes him think about who he is, his identity, and how people see him in his adopted country.</p

    Sideffective - system to mine patient reviews: sentiment analysis

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    Sideffective is the system to crawl, rank and analyze patient testimonials about side ffeects from common medications. Since the wealth of any mining model is the Data corpus, the data collection phase involved extensive crawling of massive medical websites comprised of user forums from the internet. Subsequently, the raw files were subjected to certain site-specific parsing routines, yielding outputs conforming to a well-defined data model. Currently, the system holds close to 400,000 user testimonials pertaining to more than 2500 drugs/medicines. Sideffective aims at gathering and aggregating this wealth of information, build useful associations and present interesting observations and numeric validations, all in a user-friendly interface. The important issues that we have tried to tackle are: Extracting side effects without relying on pre-built lists, aggregating distribution of different side effect for a give drug, site-specific search, ranking and determining the negativity of reviews. The system has been jointly built by Deepak Yalamanchi and Sangeetha Rajagopalan under the guidance of Prof. Tomasz Imielinski. This thesis focuses mainly on Sentiment Analysis of patient reviews. While most existing sentiment analysis systems are predicated by POS (parts of speech) tagging or Bayesian sentiment analysis methods, the same cannot be applied to medical reviews as they generally carry a negative flavor in them. We thereby approached the problem by identifying the features in the sentence and calibrating the sentiment on a Negativity Meter based on their relation to sentiment words. A feature, as defined for the purpose of this thesis, can be a medicine, a side effect or a symptom. The sentiment of each feature is determined by the aggregate of all its polarities with respect to each sentiment word, where the polarity is determined by an inverse relation to the distance of the feature from the sentiment word. Each sentence is then evaluated by the cumulative polarity of all the features contained in it. Sentiment of a review is determined by individually determining the sentiment of each sentence and then getting a weighted sum score of all the sentences in the review. The accuracy of a sentiment analysis system is, in principle, how well it agrees with human judgments. Experimental results, involving human reviewers (extracted from site: www.askapatient.com) and correlating them back to the negativity rating of each review yield conclusive results, demonstrating the effectiveness of the technique. We have also implemented a customized Lucene search on the data using a multi-review summarization approach and a ranking scheme based on the feature-list. Ranking priority is given to the review that has the largest feature list size.M.S.Includes bibliographical referencesby Deepak Yalamanch

    EXPORT POTENTIAL OF INDIA IN LIVESTOCK SECTOR: STRATEGY, PROSPECTS AND POLICY ISSUES

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    Despite constraints like rearing of livestock under sub optimal conditions due to low economic status of livestock owners, India has now become the largest producer of milk in the world. The development of Indian dairy sector is an unprecedented success story as it is based on millions of small producers. Government of India is making concerted efforts to raise the per capita availability of milk through increase in productivity of milch animals. In order to achieve this ambitious goal, assistance is being provided to the State Governments for controlling animal diseases, scientific management and upgradation of genetic resources, increasing availability of nutritious feeds and fodder, etc. In the present milieu, when production of dairy products to match international standards has become necessary to compete in international market of milk and milk products, steps need to be initiated to improve quality of Indian milk products with a view to boost export trade of these products in free trade regime and earn valuable foreign exchange as well as provide clean and quality milk to domestic population for their better health.Marketing Livestock Products India

    EXPORT POTENTIAL OF INDIA IN LIVESTOCK SECTOR: STRATEGY, PROSPECTS AND POLICY ISSUES

    No full text
    Despite constraints like rearing of livestock under sub optimal conditions due to low economic status of livestock owners, India has now become the largest producer of milk in the world. The development of Indian dairy sector is an unprecedented success story as it is based on millions of small producers. Government of India is making concerted efforts to raise the per capita availability of milk through increase in productivity of milch animals. In order to achieve this ambitious goal, assistance is being provided to the State Governments for controlling animal diseases, scientific management and upgradation of genetic resources, increasing availability of nutritious feeds and fodder, etc. In the present milieu, when production of dairy products to match international standards has become necessary to compete in international market of milk and milk products, steps need to be initiated to improve quality of Indian milk products with a view to boost export trade of these products in free trade regime and earn valuable foreign exchange as well as provide clean and quality milk to domestic population for their better health.Export Potential Livestock Sector India

    Correction to: Studies on H2-Assisted Liquefied Petroleum Gas Reduction of NO over Ag/Al2O3 Catalyst

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    Correction to: Bulletin of Chemical Reaction Engineering & Catalysis (2018), 13 (2): 227-235 (doi:10.9767/bcrec.13.2.1307.227-235) An error appeared in Corresponding Author in a paper entitled “Studies on H2-Assisted Liquefied Petroleum Gas Reduction of NO over Ag/Al2O3 Catalyst” published in Bulletin of Chemical Reaction Engineering & Catalysis. The Corresponding Author is corrected to be: * Corresponding Authors. Tel: +919415268192. Email: [email protected] (R. Prasad) Tel: +917505072607. Email: [email protected] (D. Yadav) —————— The original article can be found online at: https://doi.org/10.9767/bcrec.13.2.1307.227-235 —————— Copyright © 2020 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0). How to Cite: Singh, P., Yadav, D., Thakur, P., Pandey, J., Prasad, R. (2020). Correction to: Studies on H2-Assisted Liquefied Petroleum Gas Reduction of NO over Ag/Al2O3 Catalyst. Bulletin of Chemical Reaction Engineering & Catalysis, 15 (2): 603-603 (doi:10.9767/bcrec.15.2.7659.603-603) Permalink/DOI: https://doi.org/10.9767/bcrec.15.2.7659.603-60

    Building Thermal Performance Varies During Extreme Heat within Cities

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    abstract: This document has been superseded by our peer-reviewed publication: Building Thermal Performance, Climate Change, and Urban Heat Vulnerability, Matthew Nahlik, Mikhail Chester, Stephanie Pincetl, David Eisenman, Deepak Sivaraman, and Paul English, 2017, ASCE Journal of Infrastructure Systems, 23(3), doi:10.1061/(ASCE)IS.1943-555X.0000349 The publication is available at: http://dx.doi.org/10.1061/(ASCE)IS.1943-555X.0000349 The leading source of weather-related deaths in the United States is heat, and future projections show that the frequency, duration, and intensity of heat events will increase in the Southwest. Presently, there is a dearth of knowledge about how infrastructure may perform during heat waves or could contribute to social vulnerability. To understand how buildings perform in heat and potentially stress people, indoor air temperature changes when air conditioning is inaccessible are modeled for building archetypes in Los Angeles, California, and Phoenix, Arizona, when air conditioning is inaccessible is estimated. An energy simulation model is used to estimate how quickly indoor air temperature changes when building archetypes are exposed to extreme heat. Building age and geometry (which together determine the building envelope material composition) are found to be the strongest indicators of thermal envelope performance. Older neighborhoods in Los Angeles and Phoenix (often more centrally located in the metropolitan areas) are found to contain the buildings whose interiors warm the fastest, raising particular concern because these regions are also forecast to experience temperature increases. To combat infrastructure vulnerability and provide heat refuge for residents, incentives should be adopted to strategically retrofit buildings where both socially vulnerable populations reside and increasing temperatures are forecast
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