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


  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


  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


  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


  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


  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

Air pollution monitoring system based on wireless sensor networks

Natalja Osintsev

Volume 3, Issue 1 , March 2023, , Pages 1-7


  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

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


  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

Leakage Detection in Water Pipes: An Approach of Smart Water

Dmitriy S Vladislav

Volume 3, Issue 1 , March 2023, , Pages 8-14


  This is an application of Wireless Sensor Network (WSN) 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 ...  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


  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

Prediction of fertilizer in horticulture through IoT enabled technology

Agyan Kumar; Antonio Clecio Fontelles Thomaz

Volume 3, Issue 1 , March 2023, , Pages 15-20


  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

Greenhouse monitoring with wireless sensor network

Samira Torabi; Lu Fan

Volume 3, Issue 1 , March 2023, , Pages 21-25


  Greenhouse works with exact observing and controlling of different boundaries, to develop quality conscience crops without killing assets. The cabling laid for the sensors, conveyed inside the greenhouse isn't possible. Thus the need for a computerized framework utilizing remote correspondence, what's ...  Read More

Automated class student counting through image processing

Agyan Panda; Azadeh Shemshad

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


  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

Soil quality based agricultural activity through IoT and wireless sensor network

Zhi Zhou

Volume 3, Issue 1 , March 2023, , Pages 26-31


  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

Optimization of fuzzy linear fractional programming problem with fuzzy numbers

Sapan Kumar Das

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


  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

Application sensors in smart cities deployment

Victoria Nozick

Volume 3, Issue 1 , March 2023, , Pages 32-38


  Programmable foundation has experienced the characteristic for directing the instruments in the network. The plotting of uses of the network has begun the potential of the example of SDN that has aided in the enhancement of directing the network. Dossier Planes and Control Planes are deflected from each ...  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


  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


  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


  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


  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


  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


  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


  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


  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


  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


  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