Quarterly Publication

Smart bus ticketing system through IoT enabled technology

Agyan Kumar; Antônio Clécio Fontelles Thomaz

Volume 2, Issue 1 , March 2022, , Pages 1-8

https://doi.org/10.22105/bdcv.2022.326976.1046

Abstract
  This project is concerned with using a digital rather than a manual approach to providing bus passes. The major goal of this technology is to digitally manufacture bus passes and eliminate the need for handwritten paperwork. Commuters will be able to acquire their passes in a fraction of a second, eliminating ...  Read More

A comprehensive review of big data applications

Soheil Fakheri

Volume 2, Issue 1 , March 2022, , Pages 9-17

https://doi.org/10.22105/bdcv.2022.325256.1041

Abstract
  Analysis of big data has been presented as an advanced analytical technology involving large-scale and complex applications. In this paper, we review the general background of big data, and focus on data generation and data analysis. Then, we examine the several representative applications of big data, ...  Read More

Presenting a model for the diagnosis of heart failure using cumulative and deep learning algorithms: a case study of tehran heart center

Amir Hossein Hariri; Esmaeil Bagheri; Sayyed Mohammad Reza Davoodi

Volume 2, Issue 1 , March 2022, , Pages 18-30

https://doi.org/10.22105/bdcv.2022.325710.1043

Abstract
  Coronary artery heart failure is the leading cause of mortality among other cardiac diseases. In most of the cases, angiography is a reliable method for the diagnosis and treatment of cardiovascular diseases. However, it is a costly approach associated with various complications. The significant increase ...  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

Academic progress monitoring through neural network

Ramri Shukla; Bardia Khalilian; Sara Partouvi

Volume 1, Issue 1 , March 2021, , Pages 1-6

https://doi.org/10.22105/bdcv.2021.142228

Abstract
  To lessen the impact of a low student success rate, it's critical to be able to identify students who are in danger of failing early on, so that more targeted remedial intervention may be implemented. Private colleges use a variety of techniques, including increased tuition, expanded laboratory access, ...  Read More

Identification, evaluation and prioritization of hazards caused by high voltage power towers in urban areas

Negar Afzali Behbahani

Volume 1, Issue 1 , March 2021, , Pages 7-14

https://doi.org/10.22105/bdcv.2021.142091

Abstract
  In recent years, industrial advances in human societies have led to the rapid growth of electrical technology and its production and transmission, and this has led to an increase in power networks and the use of high voltages. While the energy from a high voltage power tower is not visible or palpable, ...  Read More

Additive slacks-based measure of efficiency for dealing with undesirable outputs based on DEA-R model

Javad Gerami; Mohammad Reza Mozaffari

Volume 1, Issue 1 , March 2021, , Pages 15-23

https://doi.org/10.22105/bdcv.2021.142082

Abstract
  In this paper, we present an Additive Slacks-Based Measure (ASBM) model for measuring efficiency Decision-Making Unit (DMU) in the presence of undesirable outputs based on DEA Ratio based (DEA-R) model. In order to obtain a reasonable measure of efficiency, this paper proposes a concept for determining ...  Read More

Automated class student counting through image processing

Agyan Panda; Azadeh Shemshad

Volume 1, Issue 1 , March 2021, , Pages 24-29

https://doi.org/10.22105/bdcv.2021.142509

Abstract
  Teachers used to keep student records manually by calling names or distributing an attendance sheet around the classroom. These procedures take time, are prone to errors, and require proxy attendance. Furthermore, digital record assimilation is time-consuming since teachers must manually put in the entries ...  Read More

Optimization of fuzzy linear fractional programming problem with fuzzy numbers

Sapan Kumar Das

Volume 1, Issue 1 , March 2021, , Pages 30-35

https://doi.org/10.22105/bdcv.2021.142084

Abstract
  In this paper, we consider a Fuzzy Linear Fractional Programming (FLFP) problem under the condition that the objective function and the values of the right-hand side are represented by symmetric trapezoidal fuzzy numbers while the left-hand side constraints are represented by real numbers. Decision variables ...  Read More

Comparison of Banks and Ranking of Bank Loans Types on Based of Efficiency with Dea in Iran

Reza Fallah; Mohadeseh Kouchaki Tajani; Mehdi Maranjory; Razieh Alikhani

Volume 1, Issue 1 , March 2021, , Pages 36-51

https://doi.org/10.22105/bdcv.2021.142086

Abstract
  Banks as financial and service-provider institutions in a society have a decisive role in the circulation of money and wealth of a country, so they have a special place in the economy of each country. Considering the importance of lending in quality of banks return and econom-ic decisions and increasing ...  Read More

Smart home with neural network based object detection

Agyan Panda; Sheila Maria Muniz

Volume 2, Issue 1 , March 2022, , Pages 40-48

https://doi.org/10.22105/bdcv.2022.326975.1045

Abstract
  Household object detection is a brand-new computer technique that combines image processing and computer vision to recognise 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

Audit committee characteristics and audit report lag: evidence from the Iran

Mehdi Maranjory; Mohadeseh Kouchaki Tajani

Volume 2, Issue 1 , March 2022, , Pages 49-60

https://doi.org/10.22105/bdcv.2022.331039.1047

Abstract
  The purpose of this research was to empirically examine the effect of independence, size, expertise, and gender of the audit committee on audit report lag in firms listed on the Tehran Stock Exchange (TSE). Using unique data from Iran for a 5-year period between 2016 and 2020, the results showed that ...  Read More

Value engineering and its impact on construction projects using building information modeling

Hadi Faghihmaleki; Saman Rahimireskati; Mohamamd Darbandi

Volume 1, Issue 2 , June 2021, , Pages 52-56

https://doi.org/10.22105/bdcv.2021.142587

Abstract
  Due to the fact that science is advancing and construction in our society is increasing, the engineering community is also obliged to introduce new approaches to the country and use them in this field. The traditional method (CAD) used to be used in this field and now the engineering community in most ...  Read More

The role of environmental sustainability, foreign direct investment and trade openness in economic growth: with emphasis on the causal linkage

Hossein Ali Fakher

Volume 1, Issue 2 , June 2021, , Pages 57-70

https://doi.org/10.22105/bdcv.2021.142227

Abstract
  Foreign direct investment (FDI) and environmental quality contributes very significantly to all parts of the world, especially developing countries. These two factors have been so important that are known as the engine of economic growth and progression. This paper aimed to examine the association between ...  Read More

Choosing the Best Private-Sector Partner According to the Risk Factors in Neutrosophic Environment

Seyed Farhad Saberhoseini; Seyyed Ahmad Edalatpanah; Ali Sorourkhah

Volume 2, Issue 2 , June 2022, , Pages 61-68

https://doi.org/10.22105/bdcv.2022.334005.1075

Abstract
  Public-Private Partnership (PPP) refers to a partnership between a government and a private sector to provide public infrastructure projects, services, etc. These projects have been associated with numerous problems, many of which failed. A critical issue in PPP projects is choosing the right private-sector ...  Read More

Optimizing Supplier Selection for a Construction Project by a Cash-Flow Approach Using a Hybrid Metaheuristic Algorithm

Seyyed Esmaeil Najafi; Soheil Salahshour; Bijan Rahmani Parchikolaei

Volume 2, Issue 2 , June 2022, , Pages 69-79

https://doi.org/10.22105/bdcv.2022.342616.1081

Abstract
  Supplier selection is the practice of evaluating and selecting the best or most suitable supplier for the organization based on the candidates' qualities and qualifications. In large construction projects, supplier selection strongly impacts the quality of materials as well as the cash-flow and logistical ...  Read More

Improve crop production through wsn: an approach of smart agriculture

Agyan Panda; Seyed Ahmad Edalatpanah; Ramin Godarzi Karim

Volume 1, Issue 2 , June 2021, , Pages 71-82

https://doi.org/10.22105/bdcv.2021.142230

Abstract
  The goal is to build and create an agricultural monitoring system that uses a wireless sensor network to boost farming production and quality without having to manually monitor it all of the time. In agriculture, temperature, humidity, and carbon dioxide levels are the most critical elements affecting ...  Read More

Solving the Problem of Linear Programming with Cost Coefficients and Grey Resources Using the Primal Simplex Algorithm

Farid Pourofoghi

Volume 2, Issue 2 , June 2022, , Pages 80-89

https://doi.org/10.22105/bdcv.2022.350381.1082

Abstract
  In most real-world issues, we are dealing with situations where accurate data and complete information are not available. One way to deal with these uncertainties in real life is to use Grey System Theory (GST). In this paper, a linear programing problem in a grey environment with interval Grey Numbers ...  Read More

A new neurodynamic model with Adam optimization method for solving generalized eigenvalue problem

Ebrahim Ganjalipour; Khadijeh Nemati; Amir Hosein Refahi Sheikhani; Hashem Saberi Najafi

Volume 1, Issue 2 , June 2021, , Pages 83-95

https://doi.org/10.22105/bdcv.2021.142589

Abstract
  In this paper we proposed a new neurodynamic model with recurrent learning process for solving ill-condition Generalized eigenvalue problem (GEP) Ax = lambda Bx. our method is based on recurrent neural networks with customized energy function for finding smallest (largest) or all eigenpairs. We evaluate ...  Read More

A Short Study on the Involvement of Wireless Sensor Network in Todays’ World

Salwa El-Morsy

Volume 2, Issue 2 , June 2022, , Pages 90-94

https://doi.org/10.22105/bdcv.2022.334376.1080

Abstract
  Wireless sensor networks are fast process of connection in part such as agriculture, healthcare, environmental monitoring, security, and manufacturing and also it thesaurus and measure physical signals and it also have wireless communication. Wireless sensors also can track the appliances; it is an automatic ...  Read More

Smart Parking and Smart Transportation with AI based Parking and Driving

Haifa Alqahtani

Volume 2, Issue 2 , June 2022, , Pages 95-100

https://doi.org/10.22105/bdcv.2022.332450.1058

Abstract
  Parking and transportation becoming crucial from decades, the accidents per day around the world are increasing, so with sensors we can drastically decrease the death rate and accident rate around the world. In this paper I suppose to present you the sensors-based cloud smart parking and sensors-based ...  Read More

Rough sets theory and its extensions for attribute reduction: a review

Sadegh Eskandari

Volume 1, Issue 2 , June 2021, , Pages 96-100

https://doi.org/10.22105/bdcv.2021.142085

Abstract
  The rough sets theory is a mathematical tool to express vagueness by means of boundary region of a set. The main advantage of this implementation of vagueness is that it requires no human input or domain knowledge other than the given data set. Several efforts have been made to make close the rough sets ...  Read More

Managerial and natural disposability in two-stage network structure: a DEA-based approach

Mahnaz Maghbouli; Azam Pourhabib Yekta

Volume 1, Issue 2 , June 2021, , Pages 101-110

https://doi.org/10.22105/bdcv.2021.142087

Abstract
  The traditional Data Envelopment Analysis (DEA) model on network-structured performance analysis normally considers desirable intermediate measures. In many real cases, the intermediate measures consist of both desirable and undesirable factors. The motivation of this paper is employing “Natural ...  Read More

A Short Study of the Components and Applications of Wireless Sensor Network

Lu Fan

Volume 2, Issue 2 , June 2022, , Pages 101-106

https://doi.org/10.22105/bdcv.2022.331570.1052

Abstract
  Wireless Sensor Networks (WSNs) consist of small nodes with identifying component by sensing, computation, and wireless communications infrastructure capabilities. The path searching means routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy ...  Read More

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