Volume-12 Issue-8, July 2023 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

H96810712823

IJITEE Journal — Tue, 25 Jul 2023 10:14:07 +0000

The International Journal of Innovative Technology and Exploring Engineering (IJITEE) has ISSN: 2278-3075 (online), an open-access, peer-reviewed, periodical monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, February, March, April, May, June, July, August, September, October, November and December.The journal aims to publish high–quality peer–reviewed original articles in the area of Engineering and Technology that covers Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering and all interdisciplinary streams of Engineering and Technology. #Smart Computing and Information Processing #Signal and Speech Processing #Image Processing and Pattern Recognition #WSN#Artificial Intelligence and machine learning #Data mining and warehousing #Data Analytics #Deep learning #Bioinformatics #High Performance computing #Advanced Computer Networking #Cloud Computing #IoT #Parallel Computing on GPU #Human Computer Interactions #Recent Trends in Microelectronics and VLSI Design #Process & Device Technologies #Low-Power Design #Nanometer-Scale Integrated Circuits #Application specific ICs (ASICs) #FPGAs #Nanotechnology #Nano Electronics and Quantum Computing #3. Challenges of Industry and their Solutions, Communications #Advanced Manufacturing Technologies #Artificial Intelligence #Autonomous Robots #Augmented Reality #Big Data Analytics and Business Intelligence #Cyber Physical Systems (CPS) #Digital Clone or Simulation #Industrial Internet of Things (IIoT) #Manufacturing IoT #Plant Cyber Security #Smart Solutions – Wearable Sensors and Smart Glasses #System Integration #Small Batch Manufacturing #Visual Analytics #Virtual Reality #3D Printing # Internet of Things (IoT) #Internet of Things (IoT) & IoE & Edge Computing #Distributed Mobile Applications Utilizing IoT #Security, Privacy and Trust in IoT & IoE #Standards for IoT Applications #Ubiquitous Computing #Block Chain-enabled IoT Device and Data Security and Privacy #Application of WSN in IoT #Cloud Resources Utilization in IoT #Wireless Access Technologies for IoT #Mobile Applications and Services for IoT #Machine/ Deep Learning with IoT & IoE #Smart Sensors and Internet of Things for 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PC Voice Navigation using Python
Peerzada Hamid Ahmad¹, Harshit Gupta², Monal Raj Singh³, Shaan Gupta⁴
¹Prof. Peerzada Hamid Ahmad, Assistant Professor, Department of Computer Science and Engineering, GalgotiasUniversity, GreaterNoida (U.P), India.
²Harshit Gupta, B.Tech. Student, Department of Computer Science and Engineering, Galgotias University, Greater Noida (U.P), India.
³Monal Raj Singh, B.Tech. Student, Department of Computer Science and Engineering, Galgotias University, Greater Noida (U.P), India.
⁴Shaan Gupta, B.Tech. Student, Department of Computer Science and Engineering, Galgotias University, Greater Noida (U.P), India.
Manuscript received on 30 June 2023 | Revised Manuscript received on 07 July 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 58-60 | Volume-12 Issue-8, July 2023 | Retrieval Number: 100.1/ijitee.H96810712823 | DOI: 10.35940/ijitee.H9681.0712823

Open Access | Editorial and Publishing Policies | Cite | Zenodo | Indexing and Abstracting
© 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: With the use of a software programmer called PC Voice Navigation System, users may navigate and operate their laptops and desktops by speaking instructions. This research report covers the development of a PC voice navigation system utilising the Python programming language. An intuitive and hands-free user experience is offered by the system thanks to the utilization of textto-voice synthesis, natural language [1]. processing, and speech recognition. A personal assistant for Linux-based systems is what it seeks to create. Cortana for Windows and Siri for iOS are two examples of virtual assistants that inspire Jarvis.It has been built to offer a User-Friendly Interface (UFI) for carrying out a range of operations using well-defined commands. Either voicecommands or keyboard input can be used to communicate with the assistant by users [1, 2].

Keywords: PC Voice, Navigation, Python Programming, Language, iOS.
Scope of the Article: Mechanical Engineering

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H96700712823

IJITEE Journal — Mon, 24 Jul 2023 12:34:40 +0000

Design and Implementation of Time-lock Wallet using Blockchain Technology
Aman Anand¹, Chirag Sharma², Neel Bhardwaj³, Amit Kumar⁴
¹Aman Anand, Graduate Student, School of Computer Science and Engineering, Galgotias University, Greater Noida (U.P), India.
²Chirag Sharma, Graduate Student, School of Computer Science and Engineering, Galgotias University, Greater Noida (U.P), India.
³Neel Bhardwaj, Graduate Student, School of Computer Science and Engineering, Galgotias University, Greater Noida (U.P), India.
⁴Amit Kumar, Assistant Professor, School of Computer Science and Engineering, Galgotias University, Greater Noida (U.P), India.
Manuscript received on 25 June 2023 | Revised Manuscript received on 07 July 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 52-57 | Volume-12 Issue-8, July 2023 | Retrieval Number: 100.1/ijitee.H9670071282 | DOI: 10.35940/ijitee.H9670.0712823

Abstract: In this work, the authors have presented a design andimplementation of the Time Lock Wallet. ThisTimelock model utilises blockchain technology. The primary goal of time-locked wallets is to secure funds for a specified period.Afterthe stated date has passed, only the designated person or beneficiary may withdraw money from the wallet.

Keywords: Time-lock, Blockchain, and RSA[1] Blockchain; Blockchain operations; distributed digital tally technology; Blockchain Tools
Scope of the Article: Block Chain-Enabled IoT Device and Data Security and Privacy

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H96800712823

IJITEE Journal — Mon, 24 Jul 2023 12:29:22 +0000

Spear Watch: A Thorough Examination to Identify Spear Phishing Attacks
Anjali Shrikant Shukla¹, Sameer Rajendra Chavan², Srivaramangai R³
¹Anjali Shrikant Shukla, Department of Information Technology, University of Mumbai, Mumbai (Maharashtra), India.
²Sameer Rajendra Chavan, Department of Information Technology, University of Mumbai, Mumbai (Maharashtra), India.
³Srivaramangai R, Department of Information Technology, University of Mumbai, Mumbai (Maharashtra), India.
Manuscript received on 30 June 2023 | Revised Manuscript received on 08 July 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 46-51 | Volume-12 Issue-8, July 2023 | Retrieval Number: 100.1/ijitee.H96800712823 | DOI: 10.35940/ijitee.H9680.0712823

Abstract: A form of cybersecurity assault known as phishing involves hostile actors sending messages while posing as a reliable individual or organization. Spear-phishing assaults target a particular victim, and communications that pretend to be from someone they know and contain personal information are updated to address that victim directly. Spear-phishing takes more planning and effort to complete than phishing. Because these attacks are so skillfully customised, conventional security measures often cannot stop them. They are consequently getting harder to find. Spear phishing emails generally require a sophisticated security protocol, including the deployment of threat detection and response tools. Numerous research works apply newer techniques to such systems. Most of them utilise AI and ML algorithms to identify threats and take necessary actions. This paper emphasises the importance of developing more advanced techniques through research and development. To start with, this work focuses on exploring various detection techniques, utilising machine learning and natural language processing algorithms, particularly in behaviour analysis and anomaly detection. This paper lays a foundation for future research in this area.

Keywords: Spear Phishing, Social Engineering, Email Analysis, Link Analysis, Email Content Analysis, Attack Detection, Malicious Emails, Fraudulent Emails.
Scope of the Article: Social Networks

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H96620712823

IJITEE Journal — Mon, 24 Jul 2023 12:19:19 +0000

3D Modelling and Simulation Methods in RCC Building using Bim Software
Ravi G. Maske¹, Ashok Y. Kankuntla², Shrikant R. Kulkarni³, Sajid D. Tamboli⁴, Venu M. Rapelli⁵, Unsa Z. Jahagirdar⁶
¹Prof. Ravi G. Maske, Assistant Professor, Department of Civil Engineering, N.K. Orchid College of Engineering and Technology, Solapur (Maharashtra), India.
²Prof. Ashok Y. Kankuntla, Assistant Professor, Department of Civil Engineering. N.K. Orchid College of Engineering and Technology, Solapur (Maharashtra), India.
³Prof. Shrikant R. Kulkarni, Assistant Professor, Department of Civil Engineering. N.K. Orchid College of Engineering and Technology, Solapur (Maharashtra), India.
⁴Sajid D. Tamboli, Student, Department of Civil Engineering. N.K. Orchid College of Engineering and Technology, Solapur (Maharashtra), India.
⁵Venu M. Rapelli, Student, Department of Civil Engineering. N.K. Orchid College of Engineering and Technology, Solapur (Maharashtra), India.
⁶Unsa Z. Jahagirdar, Student, Department of Civil Engineering. N.K. Orchid College of Engineering and Technology, Solapur (Maharashtra), India.
Manuscript received on 21 June 2023 | Revised Manuscript received on 01 July 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 39-45 | Volume-12 Issue-8, July 2023 | Retrieval Number: 100.1/ijitee.H96620712823 | DOI: 10.35940/ijitee.H9662.0712823

Abstract: The building can be designed by using Autodesk Revit Software. Autodesk Revit is a Building Information Modelling (BIM) software designed for landscape architects, structural engineers, MEP engineers, and contractors. The software allows users to create a building and its components in 3D, annotate the model with 2D drafting elements, and access building information from the building model’s database. Our structures include G+14 Residential buildings and the LIC Ludhiana projects. G+14 is the residential project in which there are 10 blocks with two basement, shops on ground and 1st floor, and typical floors from 3rd to 13th floor level which also consist of two refuges floor, the project has different AutoCAD plan of architectural and structural layout having sizes of Beam, column, slabs designed according to IS456:2000 and IS800:2007 LSM. In the LIC Ludhiana project, the work involves rebarring of slabs, which includes the top and bottom rebar of the slab with different diameters or sizes of rebar, such as 8mm, 10mm, and 12mm. The schedule can be easily extracted from these Revit models, which will calculate the quantity of material required for construction purposes. Extensions or plugins, such as Diroots and Dynamo, that run in Revit reduce project time and provide more accurate ID assignment for elements.

Keywords: BIM, DIROOTS, DYNAMO RUN, LSM
Scope of the Article: Concrete Engineering

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B93990112223

IJITEE Journal — Mon, 24 Jul 2023 12:11:56 +0000

Effect of Varied Pulleys on A Centrifugal Palm Kernel Cracker
Oladebeye, Dayo Hephzibah¹, Adefidipe, Ebenezer Rotimi², Abodunrin, David Olumuyiwa³, Maliki, Omeiza Bayode⁴
¹Oladebeye Dayo Hephzibah, Department of Mechanical Engineering, The Federal Polytechnic, Ado-Ekiti, Nigeria.
²Adefidipe Ebenezer Rotimi, Olusegun Obasanjo Centre for Engineering Innovation, The Federal Polytechnic, Ado-Ekiti, Nigeria.
³Abodunrin David Olumuyiwa, Department of Agricultural Science and Technology, College of Technology, Bamidele Olumilua University of Education, Science and Technology, Ikere Ekiti. Nigeria.
⁴Maliki Omeiza Bayode, Department of Mechanical Engineering, The Federal Polytechnic, Ado-Ekiti, Nigeria.
Manuscript received on 20 December 2022 | Revised Manuscript received on 01 July 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 34-38 | Volume-12 Issue-8, July 2023 | Retrieval Number: 100.1/ijitee.B93990112223 | DOI: 10.35940/ijitee.B9399.0712823

Abstract: This paper is based on the performance evaluation of centrifugal palm kernel crackers for small, medium and largescale firms that deal with the cracking of palm kernel nuts to meet market requirements. The cracking machine consists of a hopper, a cracking chamber that incorporates a shaft and flange, an outlet, an electric motor, a belt, and pulleys. The performance of the machine was evaluated based on the cracking time and shaft speed. The machine was modified by introducing four pulleys with diameters of 200 mm, 250 mm, 300 mm, and 350 mm, which produced rotor speeds of 936 rpm, 749 rpm, 624 rpm, and 535 rpm, respectively. The rotor speeds were then used to test the designed machine, and its efficiency was evaluated. The machine features a cracking chamber that flaps the palm kernel nuts against a stationary hard surface. A 15hp electric motor operated the designed machine. The results showed that the cracking efficiency was highest at 936 rpm, with an efficiency of 53% achieved in 38 seconds.

Keywords: Cracking Chamber, Cracking Time, Shaft Speed, Cracking Efficiency, Rotor Speed.
Scope of the Article: Mechanical Engineering

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H96570712823

IJITEE Journal — Mon, 24 Jul 2023 12:04:10 +0000

Security and Privacy Determinants in Biometric Application in Cyber Security in Banks in Eldoret Town, Kenya
Misoi K. Thomas¹, James Ogalo², Ben Maake³
¹Misoi K. Thomas, Student (M.Sc Information Systems) Department of Computing Sciences, School of Information Science and Technology, Kisii University Kenya.
²Dr. James Ogalo, Lecturer, Department of Computing Sciences, School of Information Science and Technology, Kisii University, Kenya.
³Dr. Ben Maake, Lecturer, Department of Computing Sciences, School of Information Science and Technology, Kisii University, Kenya.
Manuscript received on 16 June 2022 | Revised Manuscript received on 26 June 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 28-33 | Volume-12 Issue-8, July 2023 | Retrieval Number: 100.1/ijitee.H96570712823 | DOI: 10.35940/ijitee.H9657.0712823

Abstract: Biometric technology has been seen as a driving force for the future direction of strong authentication. Although Biometrics has been deemed a secure method of identification and verification by many scholars, few banks in Kenya have implemented the use of biometric features, such as fingerprints, for customer and system user identification. Some individuals put the system in place but fail to utilise it fully. What could be the key determinants of the successful implementation or adoption of biometric systems for identification and verification? What are the elements that make it possible for a banking institution to adopt and use biometric systems for identification and verification effectively? The study aimed to investigate the impact of security and privacy in biometric applications for authorisation and identification in cybersecurity within banks in Eldoret Town. The contingency theory, diffusion innovation theory, and unified theory of acceptance and use of technology guided the study. A descriptive survey design was used—the study comprised of 548 employees from 30 commercial banks in Eldoret Town. The study concludes that security and privacy have a significant influence on the use of biometric applications in authorisation and identification within cybersecurity in banks in Kenya. The study recommended that banks provide customers with convenient and more secure banking services. Additionally, the study proposed a model for evaluating a biometric system before its implementation. The model will be used to ensure the successful implementation and application of the system. The determinants are: security and privacy. Biometric technology in banks needs to integrate with the existing traditional security system, which will help banks enhance the level of cybersecurity for authorisation and identification.

Keywords: Biometric Systems, System Security, Data Privacy, Technology Adoption.
Scope of the Article: Manufacturing Processes

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H96510712823

IJITEE Journal — Mon, 24 Jul 2023 11:55:30 +0000

Proposing A New Approach for Detecting Malware Based on the Event Analysis Technique
Nguyen Duc Viet¹, Dang Dinh Quan²
¹Nguyen Duc, Institute of Post and Telecommunications Technology, Hanoi University, Vietnam
²Dang Dinh Quan, Lecturer, Faculty of Information Technology, Hanoi University, Vietnam.
Manuscript received on 12 June 2023 | Revised Manuscript received on 23 June 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 21-27 | Volume-12 Issue-8, July 2023 | Retrieval Number: 100.1/ijitee.H96510712823 | DOI: 10.35940/ijitee.H9651.0712823

Abstract: The attack technique using malware distribution forms is a dangerous, difficult-to-detect, and preventable attack method. Current malware detection studies and proposals often rely on two primary methods: utilising sign sets and analysing abnormal behaviours using machine learning or deep learning techniques. This paper will propose a method to detect malware on Endpoints based on Event IDs using deep learning. Event IDs are behaviours of malware tracked and collected on the operating system kernel of endpoints. The malware detection proposal based on Event IDs represents a new research approach that has not been extensively studied or proposed. To achieve this purpose, this paper proposes combining various data mining methods and deep learning algorithms. The data mining process is presented in detail in Section 2 of the paper.

Keywords: Malware detection; Endpoint; Event analysis technique; deep learning; Doc2Vec
Scope of the Article: Deep learning

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H96400712823

IJITEE Journal — Mon, 24 Jul 2023 11:49:35 +0000

An Intelligent System to Protect Diabetic Patients from Misinformation on Twitter
Sharifah Alshehri¹, Nourah Alessa², Maryam Alhawiti³, Amal Majdua⁴, Resan Aljohani⁵, Nojood Aljehane⁶, Mohammed Alotaibi⁷
¹Nourah Alessa, Faculty of Computers and Information Technology, University of Tabuk, Saudi Arabia.
²Maryam Alhawiti, Faculty of Computers and Information Technology, University of Tabuk, Saudi Arabia.
³Sharifah Alshehri, Faculty of Computers and Information Technology, University of Tabuk, Saudi Arabia.
⁴Amal Majdua, Faculty of Computers and Information Technology, University of Tabuk, Saudi Arabia.
⁵Resan Aljohani, Faculty of Computers and Information Technology, University of Tabuk, Saudi Arabia.
⁶Nojood Aljehane, Department of Computer Science, Faculty of Computers and Information Technology, University of Tabuk, Saudi Arabia.
⁷Mohammed Alotaibi, Department of Information Technology, Faculty of Computers & Information Technology, University of Tabuk, Saudi Arabia.
Manuscript received on 01 June 2023 | Revised Manuscript received on 17 June 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 15-20 | Volume-12 Issue-8, July 2023 | Retrieval Number: 100.1/ijitee.H96400712823 | DOI: 10.35940/ijitee.H9640.0712823

Abstract: Diabetes is a chronic disease requiring careful management and accurate health information access. Diabetic patients are particularly vulnerable to misinformation on social media, as they may be more likely to seek alternative treatments and self-medicate. This can have severe consequences for their health and well-being. Also, the spread of misinformation on social media, including Twitter, can negatively impact the health and treatment of diabetic patients. In this research, we propose developing an intelligent system to detect and mitigate the spread of misinformation about diabetes on the Twitter platform. The system will utilize artificial intelligence and natural language processing technologies to identify and classify tweets containing false information about diabetes. The proposed system has the potential to protect diabetic patients from the negative consequences of misinformation and support the provision of accurate health information on social media.

Keywords: Diabetes, Misinformation, Fake, NLP, Monitoring
Scope of the Article: Artificial Intelligence

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F95320512623

IJITEE Journal — Mon, 24 Jul 2023 10:50:57 +0000

Data Centre Efficiency Enhancement by Metrics Oriented Approach to Revamp Green Cloud Computing Concept
Saumitra Vatsal¹, Satya Bhushan Verma²
¹Saumitra Vatsal, Department of Computer Science and Engineering, Shri Ramswaroop Memorial University, India.
²Dr. Satya Bhushan Verma, Department of Computer Science and Engineering, Shri Ramswaroop Memorial University, India.
Manuscript received on 15 April 2023 | Revised Manuscript received on 17 June 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 1-14 | Volume-12 Issue-8, July 2023 | Retrieval Number: 100.1/ijitee.F95320512623 | DOI: 10.35940/ijitee.F9532.0712823

Abstract: Cloud computing inherits the sharing of data from a pool of resources existing in data centres whenever demanded. The imminent requirement for this purpose is the data centre’s ability to fulfil this coveted objective. A simultaneous increase in energy consumption poses a challenge to achieving energy-efficient peak performance. Energy-efficient metrics play a crucial role in achieving the desired purpose of safeguarding the environment. These metrics aim to enhance the system’s proficiency. An increase in energy efficiency results in reduced consumption of energy resources, as these resources are mostly non-renewable and are the primary source of carbon and heat emissions from operational data centres. No single metric is capable of achieving enhanced energy-efficient performance in a data centre. Therefore, a collective utilisation of selected metrics about power, performance, and network traffic can improve the energy-efficient capability of data centre communication systems. The testing platform for such metrics is based on specific architectures, including D-Cell, B-Cube, Hyper-Cube, and Fat-Tree three-tier architectures.

Keywords: Cloud Computing, Green Cloud Computing, Energy-Efficiency, Metrics.
Scope of the Article: Cloud Computing

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