Quarterly Publication

Big Data and Computing Visions (BDCV) is an international scholarly open access, interdisciplinary, fully refereed, and quarterly free of charge journal as a non-commercial publication. The publication start year of BDCV is 2021. All submitted manuscripts are checked for similarity through a trustworthy software named iThenticate to be assured about its originality and rigorously peer-reviewed by the international reviewers (The similarity rate must be below 20%).

BDCV is a peer-reviewed journal publishes original research papers, reviews, case studies, short communication and innovative research studies, covering all aspects on theoretical and applied papers of Big Data  and Computing Visions concepts such as “data analysis”, “data mining”, “information systems”, “pattern recognition”, “soft computing”, ”computer vision”, ”image and video processing”, “distributed systems”, “Intelligent Systems”, “Bioinformatics”,” performance evaluation”,” data envelopment analysis”, “mathematical modeling”,” financial analysis”, etc. This journal respects the ethical rules in publishing and is subject to the rules of the Ethics Committee" for Publication (COPE) and committed to follow the executive regulations of the Law on Prevention and Combating Fraud in Scientific  Works. This journal publishes fully open access journals, which means that all articles are available on the internet to all users immediately upon publication.

 

Original Article
Forest Fire Detection Using Wireless Sensors and Networks

Mingyue Wang

Volume 2, Issue 3 , September 2022, Pages 107-111

https://doi.org/10.22105/bdcv.2022.332453.1060

Abstract
  Wireless sensor network technologies normally deploy a large number of small, low cost sensors, fairly densely that can observe and influence the physical world around them by gathering physical information, transform it into electrical signals, send it to a remote location to do some analysis and deploy ...  Read More

Original Article
Survey on Low Energy Adaptive Clustering Hierarchical Protocol

Khatereh Bagherzadeh Asl; Alhanouf Alburaikan

Volume 2, Issue 3 , September 2022, Pages 112-116

https://doi.org/10.22105/bdcv.2022.332454.1061

Abstract
  Wireless Sensor Network (WSN) are in incredible request from the new year’s, as these days we have seen wide development of remote gadgets including cell telephones, workstations, mobiles, PDA's and so forth remote sensor networks comprises of thousands of minuscule sensor hubs. In a remote sensors ...  Read More

Original Article
A Short Study of LEACH Routing Protocol of Wireless Sensor Networks

Rita de Fátima Muniz

Volume 2, Issue 3 , September 2022, Pages 117-121

https://doi.org/10.22105/bdcv.2022.333760.1074

Abstract
  Wireless Sensor Network (WSN) are in great demand from the recent years, as nowadays we have seen a wide growth of wireless devices including cellular phones, laptops, mobiles, PDA’s etc. WSNs consists of thousands of tiny sensor nodes. In a WSN a node is no longer useful when its battery dies, ...  Read More

Original Article
A Short Study on Smart Water Distribution through Sensor Network

Dmitriy S Vladislav

Volume 2, Issue 3 , September 2022, Pages 122-127

https://doi.org/10.22105/bdcv.2022.333013.1065

Abstract
  Water is individual of the maximum essential beginnings for all consisting beings in the soil. In a rustic like India accompanying excellent society, categorization and control of water is established wonted harsh. The forever increasing entail for water stresses projects had relation accompanying water ...  Read More

Original Article
Adoption of Drone Technology for the Smart Safety Mechanism of Women

Victoria Nozick

Volume 2, Issue 3 , September 2022, Pages 128-132

https://doi.org/10.22105/bdcv.2022.333758.1073

Abstract
  In any other place in the world, people crave for protection during dark times (Night). Either it is man or women. Everyone is scared of being alone where dark looks like a haunting one to everyone. Where people are going MAD towards women during at that point. So, I am contributing this project to all ...  Read More

Original Article
Status Monitoring of Parking Space by Using Sensor Technology

Zhang Hao

Volume 2, Issue 3 , September 2022, Pages 133-137

https://doi.org/10.22105/bdcv.2022.332451.1059

Abstract
  Parking a vehicle in a busy parking lot  lead to excess time of driving in search of free space which lead to waste of time and environmental pollution. Lack of proper information to vacant parking spaces is one of the main reasons for insufficient parking. Smart parking system and technologies ...  Read More

Using machine learning-based models for personality recognition

Fatemeh Mohades Deilami; Hossein Sadr; Mozhdeh Nazari

Volume 1, Issue 3 , September 2021, , Pages 128-139

https://doi.org/10.22105/bdcv.2021.142588

Abstract
  Personality can be defined as the combination of behavior, emotion, motivation, and thoughts that aim at describing various aspects of human behavior based on a few stable and measurable characteristics. Considering the fact that our personality has a remarkable influence in our daily life, automatic ...  Read More

Toward prediction of entrepreneurial exit in Iran; a study based on GEM 2008-2019 data and approach of machine learning algorithms

Masoumeh Moterased; Seyed Mojtaba Sajadi; Ali Davari; Mohammad Reza Zali

Volume 1, Issue 3 , September 2021, , Pages 111-127

https://doi.org/10.22105/bdcv.2021.142089

Abstract
  This study discusses the prediction model of Entrepreneurial Exit from Entrepreneurial Perceptions, acquired the data from the Global Entrepreneurship Monitor's (GEM) database in 2008-2019. Some essential indicators include Opportunity Perception, Fear of Failure, Capability Perception, Role Model, and ...  Read More

Environmental risk assessment using FMEA and entropy based on TOPSIS method: a case study oil wells drilling

Negar Afzali Behbahani; Mazdak Khodadadi-Karimvand; Afarin Ahmadi

Volume 2, Issue 1 , March 2022, , Pages 31-39

https://doi.org/10.22105/bdcv.2022.331778.1054

Abstract
  Drilling is among the major processes of exploration, description, and development of oil and gas reservoirs with a strategic significance in the oil industry. It has also always been a major challenge in the oil industry. Because of the importance of drilling in major upstream oil and gas industries, ...  Read More

Estimating cash in bank branches by time series and neural network approaches

Pejman Peykani; Farzad Eshghi; Alireza Jandaghian; Hamed Farrokhi-Asl; Farid Tondnevis

Volume 1, Issue 4 , December 2021, , Pages 170-178

https://doi.org/10.22105/bdcv.2021.142232

Abstract
  Providing efficient and powerful approach for liquidity management of bank branches has always been one of the most important and challenging issues for researchers and scholars in the banking field. In other words, estimating the amount of required cash in different branches of the bank is one of the ...  Read More

Efficient energy consumption in smart buildings using personalized NILM-based recommender system

Fatemeh Taghvaei; Ramin Safa

Volume 1, Issue 3 , September 2021, , Pages 161-169

https://doi.org/10.22105/bdcv.2022.325031.1039

Abstract
  As the construction sector accounts for the highest energy consumption worldwide, new solutions must be offered in buildings through the adoption of energy-efficient techniques. The main factors involved in energy consumption and residents' behaviors patterns considering environmentally-friendly lifestyle ...  Read More