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Research Paper

Comparative study of the prevalence of thyroid disorders

Thyroid hormone disorders are the commonest endocrine disorder in India and also the commonest preventable cause of mental retardation. The male and female ratio of the disease ranges from 4:1 to 7:1 Untreated hypothyroidism during pregnancy can lead to delays in growth and intellectual development in the baby. The present study focused on the comparison of prevalence of thyroid disorders on various aspects like Comparison of prevalence of thyroid disorder on the basis of age, on the basis of gender, and on the basis of religion. The clinic-based study was conducted in the clinic Ranchi, in this study 305 patients are taken as samples who visited the clinic for treatment of thyroid disorder (Hypothyroidism, Hyperthyroidism) from year Sept 2015 to Dec 2017. Patients of all ages are included in the study. Out of the 305 patients with a thyroid disorder, 298 patients found to have hypothyroidism (98%) and 7 patients with hyperthyroidism (2%). The comparison of disorders found that hypothyroidism is more prevalent than hyperthyroidism. Thyroid disorder is more prevalent in females than males. There is a high prevalence of thyroid dysfunction in female in Ranchi and need for similar studies from different regions of the country covering larger population are well appreciated.

Published by: Rose Rani Minz, Dr. Manju Kumari

Author: Rose Rani Minz

Paper ID: V7I1-1277

Paper Status: published

Published: February 27, 2021

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Research Paper

Load Flow and Transient simulation of power system using PSSE software. A case study of interconnection for new run of river hydro power plant at Machai with national grid.

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Published by: Nageen Jalal, Muhammad Iftikhar, Mujtaba Hassan, Anjum Khalid

Author: Nageen Jalal

Paper ID: V7I1-1266

Paper Status: published

Published: February 27, 2021

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Research Paper

Foraging efficiency of APIs spp. in Syzygium cumini (Myrtaceae)

The foraging behavior of honey bees (Apis spp.) on blackberry (Syzgium cumini) was studied in Bengaluru. During fully flower blooming period of March to April in 2019 and 2020. twenty days in each period of the year. It was noticed that honey bee intensely and preferably forage pollen first and then nectar almost thought the day from 6 am to 6 pm with a peak between 9 am to 11 am. And noticed that percentage of foraging Apis florea (51.18%), Apis dorsata(19.75%), Apis mellifera(14.76%), and Apis cerana(14.31%). Apis florea spent more time to forage per flower and at least one is Apis dorsata than the other.

Published by: Amaravathi D., Dr. M. Shankar Reddy

Author: Amaravathi D.

Paper ID: V7I1-1234

Paper Status: published

Published: February 26, 2021

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Research Paper

Audio detail generation of the environment in a surveillance system for blind people

Surveillance cameras are widely utilized as a resource to better control home environments such as monitoring children, the elderly, pets, and safety, among other applications. However, as it relates categorically to visual information, people who are visually impaired or blind are omitted due to the barriers that result from accessing information predicated on visual content. The purpose of this work is to propose a cumulation of deep learning techniques for the recognition of objects in video and to utilize an accessibility resource called audio-description to engender a narrative of detected information. The result is a video object narrative-based surveillance system that provides useful contextual information about the environment for blind and visually impaired people.

Published by: Aryan Mishra, Tejas Mutyalwar, Kaustubh Kulkarni, Diwanshu Chouragade

Author: Aryan Mishra

Paper ID: V7I1-1284

Paper Status: published

Published: February 26, 2021

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Review Paper

Security in cloud computing using honey encryption

As more and more data creation is happening in today’s age, it is getting very difficult to store such a vast amount of information. The best way to store these vast amounts of data is to store it on the cloud. As people and big organizations are moving towards the cloud to store their data, security remains the primary concern. Is the data securing enough on the cloud? One of the ways to provide security in cloud computing is with Honey Encryption. Honey encryption generates ciphertext, which is provided with an incorrect decryption key, produces a believable plaintext. Hence, by providing false plaintext Honey Encryption provides assurance against Brute force attack. In addition, after the data encryption, SRM (Secure Repository Manager) divides the data into chunks of small data and uploads it to cloud servers.

Published by: Navneet Singh Khurana

Author: Navneet Singh Khurana

Paper ID: V7I1-1282

Paper Status: published

Published: February 26, 2021

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Research Paper

IoT based smart farming system

Agriculture has become an important growing sector due to the constantly increasing population throughout the world. In the agricultural sector, enhancing farm quality and farm productivity is a massive task without continual record-keeping ensuring high and quickly expanding food demands. Except for the growing population, climate change is a serious concern in the agriculture sector as well. To deal with such situations smart farming system using the cloud and Internet of Things is the best solution proposed in this research work. Smart farming can be used that may offer a collection of useful data i.e temperature, humidity. The Paperwork represents a smart device for farm field tracking that controls soil, humidity, and temperature. Based on these principles, it takes appropriate action after obtaining the sensor readings without human involvement. Soil temperature and moisture are gathered here and sensed values are processed for future data processing in the cloud.

Published by: Neha Patil, Dr. Vaishali D. Khairnar

Author: Neha Patil

Paper ID: V7I1-1280

Paper Status: published

Published: February 26, 2021

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