Volume-9 Issue-3, September 2020 – International Journal of Recent Technology and Engineering (IJRTE)

D9224118419

IJRTE Journal — Mon, 16 May 2022 05:31:50 +0000

Burn-Through Responses of Aero-Engine Nacelle using Fiber Metal Composites by ISO2685 Propane-Air Burner
Ibrahim Mohammed¹, Abd Rahim Abu Talib²
¹Ibrahim Mohammed*, Department of Mechanical Engineering, College of Engineering, Hassan Usman Katsina Polytechnic, Katsina, Nigeria.
²Abd Rahim Abu Talib, Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 9235-9238 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9224118419/2019©BEIESP | DOI: 10.35940/ijrte.D9224.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The paper presents experimental investigation on the behavior and burn through responses of a flat plate composite of fiber-metal laminates composites of aluminum alloy 2024-T3 with carbon and natural fibers subjected to environmental conditions in fire designated zone of an aircraft engine exposed to fire. The main purpose of this study is to know the different burn through time responses of different forms of aluminum alloy with synthetic and natural fibers. The composites were designed and developed to improve the flame fire resistance in a fire designated zone of an aircraft engine in near future for prolonged burning through time that will at least withstand the fire flame for 15 minutes according to the ISO 2685 standard. The composites are fabricated by hand lay-up method in a mold of 300 mm x 300 mm and compressed by compression machine. Based on the obtained results, some of the composites are indicated to be fireproof while some others are fire resistant. It is shown that the carbon fiber reinforced aluminum alloy laminate with only aluminum at top and bottom (CF+AA) of the composites can resist more flame temperature than the carbon fiber reinforced aluminum alloy laminate with alternate layers of aluminum and carbon fiber (CARALL) with 7.86%, the sandwich of carbon fiber with flax with 18.2% and the sandwich of carbon fiber with kenaf with 23.43%. In conclusion, the study reveals that aluminum alloy 2024-T3 with carbon fiber and some types of natural fibers composites possess good properties of resisting high temperature of fire designated zone of an aircraft engine nacelle.
Keywords: Aluminum Alloy, Composites, Fire Designated Zone, Natural Fiber, Synthetic Fiber..
Scope of the Article: Composite Materials.

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C4679099320

IJRTE Journal — Fri, 14 Jan 2022 09:59:22 +0000

Assessing the sustainability of General Insurance Business through Real Time Monitoring of KPIs using Recurrent Neural Network
S.R.Pranav Sai¹, Ajay Singh Pawar², Satya Sai Mudigonda³, Phani Krishna Kandala⁴, Pallav Kumar Baruah⁵
¹S.R.Pranav Sai*, Doctorial Research Scholar, Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi,, India.
²Ajay Singh Pawar, Master’s Student, Department of Mathematics and Computer science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi India.
³Satya Sai Mudigonda, Senior Tech Actuarial Consultant, Hon. Professor in Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning Puttaparthi, India.
⁴Phani Krishna Kandala, Visiting faculty, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India.
⁵Dr. Pallav Kumar Baruah, Associate Professor, Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India.
Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 728-738 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4679099320 | DOI: 10.35940/ijrte.C4679.099320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A company’s sustainability is driven significantly by its operational efficiency. Operational efficiency plays a significant role in the growth and the profitability of a company. Thus, operational efficiency of a company forms the basis for the metrics known as the Key Performance Indicators(KPIs). These KPIs bridge the concept of performance an operation and a means to measure the same quantitatively. In this work, we used Recurrent Neural Network (RNN) with the Long Short Term Memory(LSTM) cells for projecting the public disclosure data of select General Insurance(GI) companies operating in India to the future. We use this data to calculate the KPIs pertaining to the operations of general insurance companies and calculate how the operations of the GI company affect its performance at various levels. Since this analysis is done for the projected data, we get a framework to assess the sustainability of the GI companies by monitoring these KPIs in real-time. The complex RNN and LSTM algorithms were implemented with the help of the Google Colaboratory platform by using the GPUs of the Google Hardware with the help of the Cloud Computing framework.
Keywords: Actuarial Analysis, General Insurance, Public Disclosure, RNN, LSTM, Google Colaboratory.

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C4581099320

IJRTE Journal — Fri, 14 Jan 2022 09:50:41 +0000

Efficient Cognitive Skill Based Learning System using Augmented Reality
J.R.Arunkumar¹, M.Sundar Rajan², Anusuya Ramasamy³, Bhupesh Kumar Singh⁴
¹Dr. J.R.Arunkumar*,Assistant Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia.
²Dr. M.SundarRajan,Associate Professor, Faculty of Electrical and Computer Engineering, Arba Minch University Ethiopia.
³Dr. Anusuya Ramasamy,Assistant Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University,
⁴Dr Bhupesh Kumar Singh,Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia.
Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 723-727 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4581099320 | DOI: 10.35940/ijrte.C4581.099320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Augmented Reality provides an interactive experience by imposing virtual objects over real world environment and used in different field in learning, entertainment, or edutainment by developing higher order cognitive and practical learning skills. With the infusion of digital technology, nowadays all the educational institutions adapted the online mode learning environment like smart classroom for content delivery, Webcast Lecture by using AR. AR attracts research attention for its ability to allow students to be immersed in realistic experiences. AR will allow learners too deep about real time and cognitive skill development experiences. Recent scenario in education and academic sectors needs emerging technologies for learning system. In that scenario AR technology will be used to create new type of self-learning and automated application in academic. This technology is used to enhance the teaching and learning for students in effective way and efficient too. Even this technology will attract the students to learn fast and improve the cognitive skill also. This is a new standard, merging features from ubiquitous computing, tangible computing, and social computing. The benefits of this proposed component include inspiring deep and thoughtful education, in real world problems and challenges can be refining the creative problem solving abilities while also as long as exposure/ new perception. This proposed research paper goals to improve present educational system using Augmented Reality.
Keywords: Augmented Reality, Learning, Education, Social Computing.

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C4490099320

IJRTE Journal — Fri, 14 Jan 2022 09:42:15 +0000

Electrical Pole Climbing Robot for Fault Detection using Wi-Fi
Mayu S.Bankar¹, Vidya P. Kodgirwar²
¹Mayur S. Bankar*, E & TC (Signal Processing) PES‟s Modern College of Engineering, Pune.
²Vidya P. Kodgirwar, E & TC (Signal Processing) PES‟s Modern College of Engineering, Pune.
Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 718-722 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4490099320 | DOI: 10.35940/ijrte.C4490.099320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This project is to create electrical pole climbing robot which can be used to reduce risk of electrician to connect the distribution lines for supplying purposes. Pole climbing robot, nowadays, is very common and interesting idea, which mainly works by connecting the distribution lines according to the directions given to it. In this modern era robots are being developed for various purposes to accomplish many tasks which seem to be complex and life endangering for humans. Benefits of using robots have been immense in terms of risk-free, speed and efficiency of doing required tasks compared to that of humans. The main objective of this work is to save human lives. Considering on that issue, a pole climbing robot has been designed. However, further modifications of this work might be able to perform the wiring and repairing tasks instead of an electrician. The developed robot works on the principle of linear motor, which is partially autonomous. With the installation of this project, risk of human injuries and death can be minimized while working in the distribution lines which is the main consideration of this project.
Keywords: Wi-Fi, Microcontroller, Robot Arms, DC motors, Power supply, Gripper..

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C4644099320

IJRTE Journal — Fri, 14 Jan 2022 09:36:37 +0000

Brain Tumor Detection using Deep Learning
Rutuja Gugale¹, Pratiksha Sonar², Anagha Mandekar³, Sonali Ubale⁴, Vaishali Latke⁵
¹Rutuja Gugale, Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India.
²Pratiksha Sonar, Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India.
³Anagha Mandekar, Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India.
⁴Sonali Ubale, Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India.
⁵Vaishali Latke, Assistant Professor, Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India.
Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 714-717 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4644099320 | DOI: 10.35940/ijrte.C4644.099320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Nowadays the leading techniques for diagnosing and revealing the different diseases are image processing. And there is an increase in the cases of cancer these days. The unrestricted development of cells cause’s lumps which leads to brain tumor also called glioblastoma. There are mainly two types of tumor benign which has covering over the tumor and malignant is the one which spreads throughout the places. Earlier the development of unrestricted cells used to be diagnosed by doctors physically through monitoring the image by which the results were not used to be precise sometimes. But time along boarding of medical fields lead to different medical facilities by which the results could be precise. The broadly approach method of imaging that scrutinizes the internal structure of the human race is Magnetic resonance Imaging. This approach of imaging techniques is also used for detecting brain tumors. The detection of glioblastoma processes has machine vision methods such as Image pre-processing, Segmentation in Image, Feature extraction and classification. Several image segmentation and image classification techniques are available for detecting tumor of the brain. Convolution neural networks (CNN) based classifiers are proposed to prevail the limitations. This CNN is such a classifier which is used to differentiate between the competent data and the trail data, from which the results could be obtained.
Keywords: Brain tumor Detection, Watershed Algorithm, Capsule Network, Convolutional Neural Network, MRI Images, Tumor Boundary.

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C4691099320

IJRTE Journal — Fri, 14 Jan 2022 09:29:36 +0000

Comparative Performance Evaluation of Mobile Ad-hoc Network Routing Protocols using NS2 Simulator
Amena Begum¹, Md. Zahidur Rahman², Nurunnahar Nancy³, Md. Enamul Haq⁴
¹Amena Begum*, Department of ICT, Comilla University, Cumilla, Bangladesh.
²Md. Zahidur Rahman, Department of CSE, Britannia University, Cumilla, Bangladesh.
³Nurunnahar Nancy, Department of ICT, Comilla University, Cumilla , Bangladesh.
⁴Md. Enamul Haq, Department of ICT, Comilla University, Cumilla, Bangladesh.
Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 707-713 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4691099320 | DOI: 10.35940/ijrte.C4691.099320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A Mobile Ad-hoc Network (MANET) is an independent assortment of mobile users that communicate over moderately bandwidth constrained wireless links. MANET’s topology is dynamic that can change rapidly because the nodes move freely and can organize themselves randomly; has the advantage of being quickly deployable. Although numerous routing protocols have been proposed for mobile ad hoc networks, there is no universal scheme that works well in scenarios with different network sizes, traffic loads and node mobility patterns, so mobile ad hoc routing protocol election presents a great challenge. In this paper, an attempt has been made to compare the performance of three routing protocols in Mobile Ad-hoc Networks – Ad-Hoc On-demand Distance Vector (AODV), Dynamic Source Routing (DSR) and Destination Sequenced Distance Vector (DSDV). We have evaluated the performance of these routing protocols with varying the number of mobile nodes and packet sizes on the basis of four important metrics such as packet delivery ratio, average end to end delay, normalized routing overhead and throughput. Network Simulator version 2.35 (NS-2.35) is used as the simulation tool for evaluating these performance metrics. The outcome of this research shows that AODV protocol outperforms DSDV and DSR protocols.
Keywords: MANET, AODV, DSR, DSDV, NS2, Performance Metrics, Analysis.

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C4686099320

IJRTE Journal — Fri, 14 Jan 2022 09:18:01 +0000

Implementation of Correlation and Regression Models for Health Insurance Fraud in Covid-19 Environment using Actuarial and Data Science Techniques
Rohan Yashraj Gupta¹, Satya Sai Mudigonda², Pallav Kumar Baruah³, Phani Krishna Kandala⁴
¹Rohan Yashraj Gupta*, Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India.
²Satya Sai Mudigonda, Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India.
³Pallav Kumar Baruah, Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India.
⁴Phani Krishna Kandala, Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India.
Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 699-706 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4686099320 | DOI: 10.35940/ijrte.C4686.099320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Fraud acts as a major deterrent to a company’s growth if uncontrolled. It challenges the fundamental value of “Trust” in the Insurance business. COVID-19 brought additional challenges of increased potential fraud to health insurance business. This work describes implementation of existing and enhanced fraud detection methods in the pre-COVID-19 and COVID-19 environments. For this purpose, we have developed an innovative enhanced fraud detection framework using actuarial and data science techniques. Triggers specific to COVID-19 are identified in addition to the existing triggers. We have also explored the relationship between insurance fraud and COVID-19. To determine this we calculated Pearson correlation coefficient and fitted logarithmic regression model between fraud in health insurance and COVID-19 cases. This work uses two datasets: health insurance dataset and Kaggle dataset on COVID-19 cases for the same select geographical location in India. Our experimental results shows Pearson correlation coefficient of 0.86, which implies that the month on month rate of fraudulent cases is highly correlated with month on month rate of COVID-19 cases. The logarithmic regression performed on the data gave the r-squared value of 0.91 which indicates that the model is a good fit. This work aims to provide much needed tools and techniques for health insurance business to counter the fraud.
Keywords: Fraud detection framework, Pearson correlation, Logarithmic regression, COVID-19, actuarial techniques, data science techniques, fraud detection, fraud prevention, fraud triggers.

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C4684099320

IJRTE Journal — Fri, 14 Jan 2022 09:08:35 +0000

Risk Analysis of BYOD in Afghanistan’s Organization
Islahuddin Jalal¹, Hashmatullah Rasekh², Qudrattullah Omerkhel³, Qamaruddin Shamsi⁴
¹Islahuddin Jalal*, Lecturer, Department of Information Technology, Shaheed Rabbani Education University, Kabul, Afghanistan.
²Hashmatullah Rasekh, Student, Department of Information Technology, Bakhtar University, Kabul, Afghanistan.
³Qudratullah Omerkehl, Lecturer, Department of Information System, Shaheed Rabbani Education University, Kabul, Afghanistan.
⁴Qamaruddin Shamsi, Lecturer, Department of Information Technology, Shaheed Rabbani Education University, Kabul, Afghanistan.
Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 691-698 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4684099320 | DOI: 10.35940/ijrte.C4684.099320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Improving ICT management strategies is an ongoing need for almost all organizations. At the same time, the challenges that BYOD brings to the organization need to be carefully considered. BYOD terminology can refer to related concepts, technologies, and strategies that enable employees to use organizational resources. The use of different databases, applications, and personal devices such as smartphones, laptops, tablets, and any other mobile device such as memory chips and external hard drives can provide examples of these resources. The implementation of BYOD has brought a clear advantage to the organization. However, the use of BYOD in organizations can pose some risks and threats. The main purpose of this study was to analyze BYOD risks in Afghan organizations through cross-sectional quantitative research methods. An online survey of 24 questions was conducted on various aspects of BYOD risk from various organizations in Afghanistan. Through the use of raw data, survey results related to BYOD implementation in Afghanistan have been collected. Thus, the researchers found out that IT staffs have a low level of awareness of the risks and challenges of BYOD security and the latest technologies used by Afghan organizations. Finally, recommendations have been made.
Keywords: Risk Analysis, Bring Your Own Device (BYOD), Cyber Security, Information Security.

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C4682099320

IJRTE Journal — Fri, 14 Jan 2022 09:02:24 +0000

Research Method of Clustering of COVID-19 with Text-mining
Junhwan Moon
Junhwan Moon, Senior Research Engineer of Department of Business Research, Sogang University, Seoul.

Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 684-690 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4682099320 | DOI: 10.35940/ijrte.C4682.099320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A suspected patient with symptoms similar to coronavirus infection-19 was identified for the first time on January 8, 2020 in Korea. After that, the world was dominated by COVID-19. People all around the world must face a new society that will be changed by COVID-19. To prepare for such future, this study collected related words around the keyword COVID-19 and has predicted what risk factors and opportunity factors occur. As a result of SNA analysis by collecting news data from January to May, 2020, when COVID-19 was rapidly spreading, the key words “Prevention of epidemics”, “Inspection”, “Quarantine”, “Infection”, “Government”, Keywords such as “Patient”, “Addition”, “Diffusion”, “Judgment” and “Prohibition” have had important influences. Furthermore, COVID-19 has been affecting the daily lives of individual citizens, and their interest in the government response process increased. Therefore, the response to the new infectious disease must be quarantine based on science and technology and data, and it is imperative to establish a legal basis for using social facilities as treatment facilities.
Keywords: Coronavirus, COVID-19, Big data, Social Network Analysis, Cluster Analysis, Future Prediction, South Korea.

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C4491099320

IJRTE Journal — Fri, 14 Jan 2022 08:56:02 +0000

Heptagonal Shaped UWB Antenna with DGS for Wireless LTE with Enhanced Bandwidth
Deepthi Chamkur V¹, C R Byrareddy²
¹Deepthi Chamkur V*, Research scholar, VTU, Dept. of E and C Engineering Bangalore Institute of Technology Research Centre, Bengaluru, Karnataka, India.
²Dr C R Byrareddy, Professor, Department of E and C Engineering Bangalore Institute of Technology Bengaluru, Karnataka, India.
Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 671-677 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4491099320 | DOI: 10.35940/ijrte.C4491.099320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The paper discusses about the implementation of Heptagonal shaped compact ultra-wideband planar Microstrip patch antenna with and without defected ground plane structure (DGS) with analysis of various parameters like return loss, VSWR bandwidth etc. A substrate made up of dielectric constant FR4 epoxy is utilized and the 2D and 3D radiation pattern are also discussed. DGS has helped to fine tune and increase the bandwidth & its effects have been studied. A volume of 28x32x1.7 (1523.2 mm^3) is occupied by the size of antenna with dielectric constant of εr = 4.4, tanδ= 0.02. In order to provide fine tuning in the return loss graph, a 50Ω line with width of W=3mm direct line feeding method has been used for the micro-strip line and slots have been introduced in the ground plane structure, for achieving the good bandwidth coupling between the slots plays an important role. The antenna parameters including VSWR, Gain and return losses v/s frequency effects for the antenna with variation of slots and dimensions has been studied in this paper along with the analysis of important parameters such as return loss (dB), bandwidth, VSWR (Voltage Standing Wave Ratio) of patch antenna which has been performed using Ansoft HFSS v15 tool. The proposed design of the heptagonal shaped antenna operates as an ultra-wide band antenna ranging from 3.20 GHz to 10 GHz and beyond covering most of applications from LTE, Wimax (3.5/5.55GHz), Radio altimeter, RFID and ISM WLAN 5.2/5.8GHz etc.
Keywords: Microstrip Patch, heptagonal, defected ground structure, VSWR, 2D and 3D patterns, HFSS, Wireless.

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