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
Amplifying the Yield of the Harvests through Wireless Sensor Network in Smart Agriculture

Badria Almaz Ali Yousif

Volume 2, Issue 4 , December 2022, Pages 138-142

https://doi.org/10.22105/bdcv.2022.334373.1077

Abstract
  The Wireless Sensors Network (WSN) is these days generally used to fabricate choice emotionally supportive networks to survive numerous issues. One of the most intriguing fields having an expanding need of choice emotionally supportive networks is accuracy farming Precision Agriculture (PA). This paper ...  Read More

Original Article
Object Detection by Neural Network for Smart Home

Ibrahim Mekawy

Volume 2, Issue 4 , December 2022, Pages 143-148

https://doi.org/10.22105/bdcv.2022.333756.1072

Abstract
  Household object detection is a brand-new computer technique that combines image processing and computer vision to recognize objects in the home. All objects stored in the kitchen, room, and other areas will be detected by the camera. Low-end device techniques for detecting people in video or images ...  Read More

Original Article
Difference between Domestic and Hostile Applications of Wireless Sensor Networks

Haoran Yu

Volume 2, Issue 4 , December 2022, Pages 149-153

https://doi.org/10.22105/bdcv.2022.331569.1051

Abstract
  Wireless Sensor Networks (WSNs) always have many potential applications and also unique challenges. They usually consist of hundreds or thousands of small sensor nodes such as MICA2, which operate autonomously conditions such as cost, invisible deployment and many application domains, such as lead to ...  Read More

Original Article
Smart Fire Detection Using Wireless Sensors and Networks for Forest

Aziza Algarni

Volume 2, Issue 4 , December 2022, Pages 154-158

https://doi.org/10.22105/bdcv.2022.334374.1078

Abstract
  We all know forest is very important resource of oxygen. Saving our environmental resources is human beings responsibility. One of the techniques to save forests is forest fire detection. This is a technique used to detect the fire and prevent them in less time. Forest fire leads to death of wild life ...  Read More

Original Article
Avoidance Traffic Congestion Through Smart Transportation Approach

Chenguang Wang

Volume 2, Issue 4 , December 2022, Pages 159-162

https://doi.org/10.22105/bdcv.2022.332460.1064

Abstract
  Recent times the concept of smart city gained so much of popularity because of internet of things technology. Smart parking is one of the ideas of smart city. Smart parking system used to monitor the status of every parking available. As society fosters the streets become more swarmed and vehicles fill ...  Read More

Original Article
Crop Health Monitoring through WSN and IoT

ZongKe Bao

Volume 2, Issue 4 , December 2022, Pages 163-169

https://doi.org/10.22105/bdcv.2022.331571.1053

Abstract
  Remote sensor organizations (WSNs) have exhibited research and formative interestsin various fields, similar to correspondence, horticulture, industry, shrewd wellbeing, checking, and reconnaissance. In the space of horticulture creation, IoT-based WSN has been utilized to notice the yields condition ...  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

Original Article
Air Pollution Monitoring System based on Wireless Sensor Networks

Natalja Osintsev

Articles in Press, Accepted Manuscript, Available Online from 20 December 2022

https://doi.org/10.22105/bdcv.2022.334375.1079

Abstract
  Air pollution is the biggest environmental hazard that cannot be ignored. Due to increase in number of industries and urbanization increases air pollutants concentrations in many areas because of this different changes are been happening in human life like health issues and as well as other living organisms ...  Read More

Original Article
Leakage Detection in Water Pipes: An Approach of Smart Water

Victoria Nozick

Articles in Press, Accepted Manuscript, Available Online from 20 December 2022

https://doi.org/10.22105/bdcv.2022.331567.1050

Abstract
  This is an application of wireless sensor network to avoid the leakages, which are happening in the underground. It is quite hard to detect the leaks inside the ground, so this is a method which we can send some signals and detect where the leakage is happened and we can fix it easily. Our main aim is ...  Read More

Original Article
Soil Quality Based Agricultural Activity through IoT and Wireless Sensor Network

Zhi Zhou

Articles in Press, Accepted Manuscript, Available Online from 20 December 2022

https://doi.org/10.22105/bdcv.2022.332447.1056

Abstract
  In India, Agriculture plays an important role in providing various goods such as vegetables, fruits, grains, etc. Farmers have been producing crops in the fields day and night. for producing these products. Now days, the production of the crops in the yields are reducing year by year. This is mainly ...  Read More

Original Article
Prediction of Fertilizer in Horticulture through IoT Enabled Technology

Agyan Kumar

Articles in Press, Accepted Manuscript, Available Online from 20 December 2022

https://doi.org/10.22105/bdcv.2022.332448.1057

Abstract
  Wireless Sensor Networks due to their vast area of application being used in current research areas. In agricultural field like Greenhouses, various Climatic Condition Parameters are essential to monitored for regulation of crop production. Smooth farming by means of the use of Web of Things advances ...  Read More