15 research outputs found
The Next Generation of Wireless Communication Using Li-Fi (Light Fidelity) Technology
No full textInternational audienceToday scenario almost all the peoples are using internet to fulfill their task through a wired or wireless network. The speed of internet is an important issue and everyone be it business, organizations, entrepreneurs, and institutions is thrust for getting correct information at the correct time and correct place. Then need rapid internet connectivity, technology and huge spectrum of channels. The wireless-fidelity (Wi-Fi) gives you the speed of 150 Mbps, according to standards of 1EEE 802.11n, but not sufficient to fulfill the necessity of required users over the network. In order to remove this deficiency of Wi-Fi, a new technology is developed by German physicist, professor Harald Haas is known as Li-Fi. The Li-Fi is a wireless communication system in which light is used as a carrier signal instead of traditional radio frequency as in Wi-Fi. Li-Fi is a technology that utilizes a light emitting diode to transmit data wirelessly. It uses a bidirectional and the wireless mode of communication using light. In this paper, I am aiming to demonstrate a close-up view about Li-Fi Technology. This technology we can obtain the data rate greatly speedier than 10 Mbps, which is a lot greater than our LAN (Local Area Network). Li-Fi is very remunerative over Wi-Fi as it uses VLC by which we can make use of the maximum 60 GHz spectrum. Li-Fi confer transmission of data via LED bulb whose intensity change in an excessively faster speed that it could not be able to be explored by the human eye. Li-Fi is confined to the illuminated area, endue a tremendously controllable environment. The signals cannot travel via walls and are fully secure essentially disassemble the threat of data being hacked remotely
THE AMBIENT SCRUTINIZE OF SCHEDULING ALGORITHMS IN BIG DATA TERRITORY.
No full textToday scenario, we live in the data age and a key metric of existing times is the amount of data that is originates ubiquitously around us. At present-time intense increase in the number of Internet subscriber and connected devices, as well as rising of the IoT. As an outcome, quantities of data are originated (so called Big Data), such as user data (structured, unstructured, or semi structured), sensor data and log files. It is an increasingly business for companies to collect and analysis Big Data and provides insights to their client. In general processing such spacious amount of data with multifarious formats can be time consuming. The Hadoop is an open source framework that is used to process spacious amounts of data in an economical and proficient way, and job scheduling has become a significant factor to attain high performance in Hadoop cluster. The job scheduling algorithms are essential for efficient make use of cluster resources and executing them in short time. The fundamental purpose of this paper is to present a classification of Hadoop schedulers along with their existing scheduling algorithm in Hadoop territory. In addition, this paper paraphrases the features, advantages, disadvantages, and limitations of several Hadoop scheduling algorithms
The Bidirectional Long-Short-Term Memory Neural Network based Word Retrieval for Arabic Documents
No full textInternational audienceThe reflow from Arabic document image collections is a challenging task. This is partly due to the insolubility of the Arabic script. Because of the peculiarity of the whole body of the Arabic words, namely connectivity between the characters, thereby the segmentation of An Arabic word is very arduous and also the variability of the handwritten styles and shapes as well as deceleratation in the print therefore Arabic document repositories are not liable to indexation and reflow. In this paper, we are proposing an idea for reflow coherent Arabic document in response to an appropriate Arabic query word. We present a novel approach at reflow on an Arabic document image, using a Bidirectional Long-Short-Term Memory Neural Network. The designed to take relating to information into account, these networks can maintain Arabic word images that cannot be durable segmented into individual Arabic characters. The partitioning Arabic word, we easier the problem and receive elevated reflow rates. The proposed capable reflow scheme avoids unambiguous recognition of Arabic characters. An experimental evaluation on a dataset of Arabic word images conjunct from handwritten notebook show good precision even in the impendence of printing transformation and deceleratation. The reflow Arabic word performance is comparison with baseline methods. These results encourage the development of real world systems for word reflow for Arabic documents
BI-LSTM MODELS FOR OPTIMIZED CROP SELECTION AND YIELD FORECAST IN PRECISION AGRICULTURE
No full textAgriculture is necessary to feed the world's population, and with climate change and limited resources, it is becoming more and more important to pick the correct crops and guess how much they will produce. This research introduces a deep learning framework that employs Bidirectional Long Short-Term Memory (Bi-LSTM) networks to enhance decision-making in crop selection and accurately predict crop yields. The model incorporates historical data on farming, such how crops have done in the past, the weather (temperature, rainfall, and humidity), and the soil's characteristics. Bi-LSTM is better than regular machine learning models and unidirectional LSTMs since it can find temporal relationships in both directions. The proposed system is trained and evaluated using publicly accessible agricultural information. It can precisely predict how much of a crop will grow and advise the best kind of crops for various places. The study used the Agricultural Crop Yield dataset to train and test the Bi-LSTM model. To discover the Mean Absolute Error, Root Mean Squared Error, R² score, and Mean Absolute Percentage Error, the performance is compared to various methods like Linear Regression, Random Forest, and a basic LSTM. The Bi-LSTM model works best, with an MAE of 0.32, an RMSE of 0.47, and a R² score of 0.91. This study's findings may assist farmers, agronomists, and policymakers in optimizing resource use and enhancing agricultural productivity using data-driven insights
Future Business Prospects and Marketing Strategies of Oil and Energy Marketing Companies (Under Government of India)
No full textFuture Business Prospects and Marketing Strategies of Oil and Energy Marketing Companies (Under Government of India)
Shubham Parsoya
Ph.D. Scholar/Research Scholar,
Sangam University Bhilwara (Rajasthan), India
Priyanka Parsoya
Ph.D. Scholar/Research Scholar,
Faculty of Social Science & Humanities, Pacific
University Debari, Udaipur, (Rajasthan), India
Dr. Asif Perwej
Associate Professor, Sangam University,
Bhilwara (Rajasthan), India
Abstract:
The prosperity of a country depends directly on the development of agriculture and industry. For adequate agricultural production, many types of other facilities are required such as operating power, transport, energy generation, and many types of other facilities. Whereas for industrial production and development not only machinery and equipment but also skilled manpower, management, energy, etc. facilities are needed. All these facilities and services are collectively called infrastructure. India has both commercials as well as non-commercial sources of energy. Our Indian government is also engaged in the discovery of various types of unconventional sources of energy to give extra support to the development of country India. Consumption of petroleum products in India in 1973 was about 240 million tonnes, which increased to 1382 lakh tonnes in the year 2009-2010. Crude oil production in India is only about 335 million tonnes, whereas the consumption of crude oil in India is at a much higher level than its actual production in country India. Due to this, in 2008-2009, India had imported 138 million tonnes of crude oil from outside, which went on steadily increase over time. As a result of this, foreign exchange is going outflow against the import of crude oil in India.
Keywords: energy, petroleum, diesel, fuel, agriculture, promotions, infrastructure, prosperity, transport, power, development
Vidyawarta®
Peer-Reviewed International Journal
Interdisciplinary Multilingual Refereed Journal
Jan. To March 2020
Issue-33, Vol-09
MAH MUL/03051/2012
ISSN: 2319 9318
Impact Factor 7.041 (IIJIF)Description About the author: - Mr. Shubham Parsoya, Ex-Assistant Professor, School of Management Studies Ph.D. Research Scholar (Management) Master of Business Administration in (Human Resources Management and Marketing Management) from Guru Gobind Singh Indraprastha University, New Delhi, India Bachelor of Commerce Lean Six Sigma Champion Certified, School of Business Leadership Colorado, United States Six Sigma Yellow Belt Professional, Project Management Institute Accounting Fundamentals Certified, Corporate Finance Institute, Vancouver, Canad
Study of the Negative & the Positive Impact of Coronavirus Pandemic on Different Types of Industry, Businesses & the Society
No full textWesleyan Journal of Research, UGC Care-listed | ISSN: 0975-1386 | Peer-reviewed Journal
Vol. 13 No. 69 (March 2021)
Research Article: Management
Study of the Negative & the Positive Impact of Coronavirus Pandemic on Different Types of Industry, Businesses & the Society
Shubham Parsoya and Dr. Asif Perwej
School of Management Studies (SOMS), Sangam University (SU), Bhilwara, Rajasthan, India
Abstract:
In the background of unforeseen occurrence scenario of COVID-19 nationwide pandemic, this paper has created an endeavour to study the impact of coronavirus pandemic (COVID-19) on differing kinds of companies and industries in numerous ways. Once the emergence of Corona pandemic in India introduced, the matter of public health condition has become core issue of the people in India and it's been on the forefront in conjunction with alternative and related serious issues of migrant labour, loss of employment, economic and industrial instability etc., and on the other side with the massive population size and its ever growing rate over the last 3 decades, the general public health scenario has been deteriorated significantly, and the occurrence of COVID-19 since 2019 has changed the entire world’s functioning accordingly. Internationally the Pandemic of COVID-19 has affected all sections of the economy and nobody will specifically predict when the pandemic is going to be over and everything are going to be like our past days. With the beginning of the unfold of COVID-19, business and various other industries, such as; region trade, transport industry, food industry, agriculture industry, housing industry, education industry, cinema industry, energy industry, producing industry, music industry, mining trade, were straightaway clean up, and the outside travelling and domestic travel activities were also withheld for the unknown length on such moment. The impact of Covid-19 on all such industries was very big. Globally all business and industry are witnessing serious threat with the spreading of COVID-19. All the countries have the first preference of the protection of the people, interference of unfold and health care of the infected folks. However, there are some types of industries that are becoming some extreme number of advantages from such COVID-19 pandemic conditions in some direct or indirect ways. Such industries are; Education (EdTech) industries, E-retail industries, Banking, financial services and insurance industries (BFSI). Medical sector, Information technology and knowledge Technology Enabled Services, Etc.
Keywords: Pandemic, COVID-19, Industries, Businesses, Impact, Problems, World, Economy
Conference Details:-
International Conference on Analytical & Interdisciplinary Research – 2021 (ICAIR-2021)
05th - 06th February, 2021
https://www.sangamuniversity.ac.in/inner-pages/ICAIR-2021.php
Description about the author: -
Mr. Shubham Parsoya,
Ex-Assistant Professor,
School of Management Studies
Ph.D. Doctoral Researcher (Business & Management)
Master of Business Administration (MBA) in (Human Resources Management and
Marketing Management) from Guru Gobind Singh Indraprastha University, New Delhi, India
Bachelor of Commerce (B.Com.)
Lean Six Sigma Champion Certified Professional (LSSCCP),
School of Business Leadership Colorado, United States
Six Sigma Yellow Belt Certified Professional (SSYBCP),
Project Management Institute
Accounting Fundamentals Certified Professional (AFCP),
Corporate Finance Institute, Vancouver, Canada, United StatesInternational Conference on Analytical & Interdisciplinary Research – 2021
05th - 06th February 2021
https://www.sangamuniversity.ac.in/inner-pages/ICAIR-2021.ph
An Empirical Study on the Current State of Internet of Multimedia Things (IoMT)
No full textAs the Internet continues to expand, immense people around the globe join the Internet. The Internet of Things (IoT) can be defined as the interconnection of peerless identifiable embedded computing devices within the current Internet infrastructure. This paradigm encompasses an infrastructure of software, hardware, and services that link tangible objects called things to the Internet. In Internet of Things technology, multimedia big data which is said to be the huge amount of data from multimedia devices will be generated with the swiftly rise of the multimedia gadgets and devices. The multimedia devices need higher processing and memory resources to process the obtained multimedia information. The Internet of Things systems are fiasco in realizing the multimedia devices connectivity unless they are able in processing multimedia gadgets and devices at a moment. In this paper, we are introduces a new concept of Internet of Multimedia Things (IoMT) for multimedia communications in Internet of Things (IoT). Internet of Multimedia Things (IoMT) communications play a vital role in Internet of Things (IoT) applications such as traffic control and handling, environmental monitoring, healthcare sector, observation & surveillance, event recognition and house monitoring and automation. In this paper, we present a comprehensive survey of IoMT and future research directions. The Internet of Multimedia Things (IoMT) applications such as real-time multimedia based security and monitoring in smart house, Smart Agriculture, multispecialty hospitals, metropolitan area, and smart transportation handling systems are of the most difficult systems to deploy
