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  Study of Changes in Seasonal and Annual Rainfall Trends Using Mann-Kendall Non-Parametric and Sen Tests in Haraz Watershed Of Mazandarn Province,North of Iran

  Abbas Gholami

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.9 , Issue.2 , pp.1-9, Apr-2021

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  The main purpose of this study was to investigate the trend of annual and seasonal rainfall and the effect of climate change in Haraz watershed. In order to achieve the objectives of this study, according to the statistical situation and considering the appropriate distribution of stations, 4 hydrometric stations in different parts of Haraz River were selected from the upstream part to the outlet of the basin along the Caspian Sea. According to the length of statistics, period of the water year 1968-1969 to 2008-2009 for 41 years were selected as the common statistical period. In this study, one of the most common non-parametric methods of time series called Mann-Kendall test was used to evaluate the trend and if there is a trend, the Sen test was used to evaluate the ascending or descending trend. According to the results of this study, among the 4 stations surveyed, it was found that there is no specific trend in the annual series and in the seasonal series of this section, only Mahmoudabad Haraz station near the outlet of the river had a positive trend, which has been a sign of the effect of climate changes in winter. The results of Mann-Kendall and Sen tests show that the two river stations in the region, including Nemarstagh-Nemarstagh and Panjab-Nemarstagh, are located in a completely mountainous region, the lack of a clear trend of precipitation changes that can be a reason for temporary stability of climate change. The climate of this mountainous area is basin, which can be quite fragile and sensitive, and will depend on the future climate change , the impact of human activities in the area and its effect on temperature, humidity and rainfall in the region, as well as major climate change of the world. Also, positive changes in the precipitation trend near the outlet of the watershed in winter in Mahmoudabad-Haraz river station, considering that most of the agricultural lands in the plains of Mazandaran are dedicated to rice cultivation and due to the increasing population in recent years, this issue can be studied.

  Key-Words / Index Term
  Climate Change, Precipitation Trend, Mann-Kendall and Sen. Tests, Haraz watershed

  References
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  Citation
  Abbas Gholami, "Study of Changes in Seasonal and Annual Rainfall Trends Using Mann-Kendall Non-Parametric and Sen Tests in Haraz Watershed Of Mazandarn Province,North of Iran," International Journal of Scientific Research in Computer Science and Engineering, Vol.9, Issue.2, pp.1-9, 2021

• Open Access   Article

  Impact of the Covid-19 Virus on the Progress of Industrial Companies in 2021

  Arz Wehbe, Joelle El Khoury, Chadi Azoury, Christophe Merlo

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.9 , Issue.2 , pp.10-16, Apr-2021

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  The objective of this research is to study the impacts of the Covid-19 pandemic on the performance of industrial companies. We conducted a research study about the state of arts of the impact list, named “Impacted Factors (IF)” in our work, in industrial companies. Then, we contacted 30 top managers from 30 international companies in 23 countries from the five continents, and asked them to rate these IFs in their companies. Based on this survey, we identified the rank of these IFs by using Friedman’s analysis test. All calculations were performed on IBM SPSS V23. Afterwards, we listed the most impacted factors that affected industrial companies in 2021. Finally, we proposed a solution to quickly remediate the performance of industrial companies.

  Key-Words / Index Term
  Covid-19 virus, International Industrial Companies, Impacted Factors

  References
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  Citation
  Arz Wehbe, Joelle El Khoury, Chadi Azoury, Christophe Merlo, "Impact of the Covid-19 Virus on the Progress of Industrial Companies in 2021," International Journal of Scientific Research in Computer Science and Engineering, Vol.9, Issue.2, pp.10-16, 2021

• Open Access   Article

  Student Learning Time Analysis during COVID-19 with Online and Offline mode

  Sushopti Gawade, Umesh Kulkarni, Hemant Palivela, Swati Chopade, Sandeep Chopade

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.9 , Issue.2 , pp.17-21, Apr-2021

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  In today`s scenario, the world is undergoing a pandemic of the COVID-19 virus which has made a large impact in every area of life. Each person from any field right from the richest to the poorest person is highly affected by this virus. As the effect is all sectors of life here in this paper we have identified one area to just highlight the effect of the virus. The selected area is education typically in the Indian continent also specifically in the state of Maharashtra. The dataset is collected in real-time of learning activity using various mediums such as Facebook, google survey sheet, WhatsApp groups, etc. in which some of the major points related to learning are considered. A basic questionnaire related to the learning behavior of the student age group was highlight. Focused groups of students were from the different age groups and, also of different categories eg. technical, non-technical,4-7 standard student, jr college, Sr college, Engineering college, etc. Around 15-25 questions using various simple questions related to the learning scenario collected from a data set were used to do analysis about the learning time spent by students. It shows that students spend more time for learning with instructors. This means teacher, family, educational instructors are important factors for learning process.

  Key-Words / Index Term
  COVID19, online learning, offline learning, with instructor, without instructor

  References
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  Citation
  Sushopti Gawade, Umesh Kulkarni, Hemant Palivela, Swati Chopade, Sandeep Chopade, "Student Learning Time Analysis during COVID-19 with Online and Offline mode," International Journal of Scientific Research in Computer Science and Engineering, Vol.9, Issue.2, pp.17-21, 2021

• Open Access   Article

  Deep Fake Video Detection Using Recurrent Neural Networks

  Abdul Jamsheed V., Janet B.

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.9 , Issue.2 , pp.22-26, Apr-2021

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  Abstract
  Generative adversarial networks progressed to the point where it is very difficult to distinguish the difference between what is real or fake. In recent times, different face manipulating tools are used to generate credible face swaps in videos that leave a very little trace of manipulation, which is commonly referred as “AI based Deep Fake videos”. Nowadays, these realistic fake videos are used in pornography, blackmailing, political distress etc. Creation of deep fake videos are a simple task, but when it comes to detection, it’s a major challenge. The advancement in the creation of AI based deep fake videos has made the older detection system less accurate. In this work, we describe a new method which use deep learning based methodology to effectively detect manipulated/fake videos from real videos. Our system uses a combination of CNN and LSTM to detect these manipulations. Convolutional Neural Networks (CNN) is used to extract frame level features and then these features are trained using a Long Short Term Memory (LSTM) Recurrent Neural Network that classifies real and fake videos separately. We also compared the results with existing methodologies and found out to be great. Dataset for training Deep Fake detection model were picked from different sources which include DFDC, Face Forensics, Celeb DF, deep fake detection challenge dataset to name a few. We are successful in obtaining a competitive result of 92 percent accuracy while using a simple architecture.

  Key-Words / Index Term
  Deep Fake, Deep Learning, Face Manipulation, Convolutional- LSTM, Fake videos

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  Citation
  Abdul Jamsheed V., Janet B., "Deep Fake Video Detection Using Recurrent Neural Networks," International Journal of Scientific Research in Computer Science and Engineering, Vol.9, Issue.2, pp.22-26, 2021

• Open Access   Article

  Card-less Automated Teller Machine: A New Simple Approach

  S Korouhanba Khuman, Gayatri Kalita, Basab Nath

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.9 , Issue.2 , pp.27-31, Apr-2021

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  Abstract
  In this growing era of technology, ATM is one of the greatest inventions which human being has come up and used. It has bonded the banks with their users, making their relationship more secure with time. At present, all ATM transactions are done with a smart card, which needs to be physically swiped at the ATM to perform any banking transactions. However, as time passes, there has been a surge in issues related to smart cards, such as card cloning, card expiration, card damaging, and many more. Henceforth, to address such problems, we thought of developing a standalone interface in CLI (Command Line Interface) mode using C Programming language with the help of an OTP technology to exclude the usage of smart cards from the main ATM system design. So, if such a system of interface gets implemented then, many problems related to ATM frauds and criminal activities can be reduced, which will eventually eliminate the financial burden placed on the customers for issuance and maintenance of the smart card.

  Key-Words / Index Term
  ATM, CLI, C Programming, PIN, OTP, Beneficiary

  References
  [1]. Iyabode, A. M., Nureni, Y. N., Adebayo, A. F., & Olamide, O. A., “Card-Less Electronic Automated Teller Machine (EATM) With Biometric Authentication,” International Journal of Engineering Trends and Technology,Vol. 30, Issue.1, pp.99-105, 2015.
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  Citation
  S Korouhanba Khuman, Gayatri Kalita, Basab Nath, "Card-less Automated Teller Machine: A New Simple Approach," International Journal of Scientific Research in Computer Science and Engineering, Vol.9, Issue.2, pp.27-31, 2021

• Open Access   Article

  Decentralized way of keeping drug records using Blockchain Technology (Hyperledger Fabric)

  Nafiul Islam, Nayeem Al-Tamzid Bhuiyan, Diba Chowdhury, Md. Mahmudul Hasan, Rahat Pervez, Md. Imdadul Hoque

  Research Paper | Journal-Paper (IJSRCSE)

  Vol.9 , Issue.2 , pp.32-36, Apr-2021

  Abstract

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  References

  Citation

  Abstract
  Blockchain technology has gained the acceptance of the whole world. It is a decentralized approach which makes our electronic technology into a different way. We can implement blockchain technology into various ways. It is used in social and industry level, finance, medical science and supply chain management system and so on. It gives us immutability and transparency that is the most attractive features of blockchain technology. However, there are lots of research done in Blockchain technology, but still there are having so much space to improve this technology. Our research aims to create a medical supply chain using by blockchain technology. We find the identity gaps in our existing evidence of blockchain implementation in medical supply chain and try to make a stable solution.

  Key-Words / Index Term
  Blockchain, Ledger, System Architecture, Supply Chain, Transaction Flow

  References
  [1] Y. Tribis, A. El Bouchti, H. Bouayad, “Supply chain management based on blockchain: A systematic mapping study,” InMATEC Web of Conferences 2018, EDP Sciences, France, Vol. 200, pp. 00020, 2018.
  [2] C.C. Agbo, Q.H. Mahmoud, J.M. Eklund, “Blockchain technology in healthcare: a systematic review,” Healthcare, Vol. 7, No. 2, pp. 56, 2019.
  [3] F. Jamil, L. Hang, K. Kim, D. Kim, “A novel medical blockchain model for drug supply chain integrity management in a smart hospital,” Electronics, Vol. 8, No.,5, pp. 505, 2019.
  [4] M.L. Jochumsen, A. Chaudhuri. “Blockchain’s impact on supply chain of a pharmaceutical company,” In 25th International EUROMA conference 2018, Hungary, 2018.
  [5] I. Haq, O.M. Esuka. “Blockchain technology in pharmaceutical industry to prevent counterfeit drugs,”International Journal of Computer Applications, Vol. 180, No., 25, pp. 8-12, 2018.

  Citation
  Nafiul Islam, Nayeem Al-Tamzid Bhuiyan, Diba Chowdhury, Md. Mahmudul Hasan, Rahat Pervez, Md. Imdadul Hoque, "Decentralized way of keeping drug records using Blockchain Technology (Hyperledger Fabric)," International Journal of Scientific Research in Computer Science and Engineering, Vol.9, Issue.2, pp.32-36, 2021