Volume-13 Issue-9, August 2024 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

I993813090824

IJITEE Journal — Sat, 31 Aug 2024 12:47:36 +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 Smart City #Logic, Functional programming and Microcontrollers for IoT #Sensor Networks, Actuators for Internet of Things #Data Visualization using IoT #IoT Application and Communication Protocol #Big Data Analytics for Social Networking using IoT #IoT Applications for Smart Cities #Emulation and Simulation Methodologies for IoT #IoT Applied for Digital Contents #Microwaves and Photonics #Microwave filter #Micro Strip antenna #Microwave Link design #Microwave oscillator #Frequency selective surface #Microwave Antenna #Microwave Photonics #Radio over Fibre #Optical Communication, #Optical Oscillator #Optical Link Design #Optical Phase Lock Loop #Optical Devices #Computation Intelligence and Analytics #Soft Computing #Advance Ubiquitous Computing #Parallel Computing #Distributed Computing #Machine Learning #Information Retrieval #Expert Systems #Data Mining #Text Mining #Data Warehousing #Predictive Analysis #Data Management #Big Data Analytics #Big Data Security #Energy Harvesting and Wireless Power Transmission #Energy Harvesting and Transfer for Wireless Sensor Networks #Economics of Energy Harvesting Communications #Waveform Optimization for Wireless Power Transfer #RF Energy Harvesting #Wireless Power Transmission #Microstrip Antenna Design and Application #Wearable Textile Antenna #Luminescence #Rectenna #Advance Concept of Networking and Database #Computer Network #Mobile Adhoc Network #Image Security #Application Artificial Intelligence and Machine Learning in the Field of Network and Database #Data Analytic #High Performance Computing #Pattern Recognition #Machine Learning (ML) and Knowledge Mining (KM) #Regression and Prediction #Problem Solving and Planning #Clustering #Classification #Neural Information Processing #Vision and Speech Perception #Heterogeneous and Streaming Data #Natural Language Processing #Probabilistic Models and Methods #Reasoning and inference #Marketing and Social Sciences #Data Mining #Knowledge Discovery #Web Mining #Information Retrieval #Design and Diagnosis #Game Playing #Streaming Data #Music Modelling and Analysis #Robotics and Control #Multi-Agent Systems #Bioinformatics #Social Sciences #Industrial Financial and Scientific Applications of All Kind #Advanced Computer Networking Computational Intelligence #Data Management, Exploration, and Mining #Robotics #Artificial Intelligence and Machine Learning #Computer Architecture and VLSI #Computer Graphics, Simulation, and Modelling #Digital System and Logic Design #Natural Language Processing and Machine Translation #Parallel and Distributed Algorithms #Pattern Recognition and Analysis #Systems and Software Engineering #Nature Inspired Computing #Signal and Image Processing #Reconfigurable Computing #Cloud, Cluster, Grid and P2P Computing #Biomedical Computing #Advanced Bioinformatics #Green Computing #Mobile Computing #Nano Ubiquitous Computing #Context Awareness and Personalization, Autonomic and Trusted Computing #Cryptography and Applied Mathematics #Security, Trust and Privacy #Digital Rights Management #Networked-Driven Multicourse Chips #Internet Computing #Agricultural Informatics and Communication #Community Information Systems #Computational Economics, Digital Photogrammetric #Remote Sensing, GIS and GPS #Disaster Management #e-governance, e-Commerce, e-business, e-Learning #Forest Genomics and Informatics #Healthcare Informatics #Information Ecology and Knowledge Management #Irrigation Informatics #Neuro-Informatics #Open Source: Challenges and opportunities #Web-Based Learning: Innovation and Challenges #Soft computing Signal and Speech Processing #Natural Language Processing #Communications #Microstrip Antenna #Microwave #Radar and Satellite #Smart Antenna #MIMO Antenna #Wireless Communication #RFID Network and Applications #5G Communication #6G Communication #Algorithms and Complexity #Sequential, Parallel and Distributed Algorithms and Data Structures #Approximation and Randomized Algorithms #Graph Algorithms and Graph Drawing #On-Line and Streaming Algorithms #Analysis of Algorithms and Computational Complexity #Algorithm Engineering #Web Algorithms #Exact and Parameterized Computation #Algorithmic Game Theory #Computational Biology #Foundations of Communication Networks #Computational Geometry #Discrete Optimization #Software Engineering and Knowledge Engineering #Software Engineering Methodologies #Agent-Based Software Engineering #Artificial Intelligence Approaches to Software Engineering #Component-Based Software Engineering #Embedded and Ubiquitous Software Engineering #Aspect-Based Software Engineering #Empirical Software Engineering #Search-Based Software Engineering #Automated Software Design and Synthesis #Computer-Supported Cooperative Work #Automated Software Specification #Reverse Engineering #Software Engineering Techniques and Production Perspectives #Requirements Engineering #Software Analysis, Design and Modelling #Software Maintenance and Evolution #Software Engineering Tools and Environments #Software Engineering Decision Support #Software Design Patterns #Software Product Lines #Process and Workflow Management #Reflection and Metadata Approaches #Program Understanding and System Maintenance #Software Domain Modelling and Analysis #Software Economics #Multimedia and Hypermedia Software Engineering #Software Engineering Case Study and Experience Reports #Enterprise Software, Middleware, and Tools #Artificial Intelligent Methods, Models, Techniques #Artificial Life and Societies #Swarm Intelligence #Smart Spaces #Autonomic Computing and Agent-Based Systems #Autonomic Computing #Adaptive Systems #Agent Architectures, Ontologies, Languages and Protocols #Multi-Agent Systems #Agent-Based Learning and Knowledge Discovery #Interface Agents #Agent-Based Auctions and Marketplaces #Secure Mobile and Multi-Agent Systems #Mobile Agents #SOA and Service-Oriented Systems #Service-Centric Software Engineering #Service Oriented Requirements Engineering #Service Oriented Architectures #Middleware for Service Based Systems #Service Discovery and Composition #Service Level Agreements (Drafting, Negotiation, Monitoring and Management) #Runtime Service Management #Semantic Web #Data Modelling, Mining and Data Analytics #Aggregation, Integration, and Transformation #Web and Text Mining #Data Mining Methods, Techniques, and Tools #Data Analytics Modelling and Algorithms #Patterns and Frameworks #Data Visualization #Knowledge Systems and Engineering #Knowledge Acquisition #Knowledge-Based and Expert Systems #Knowledge Representation and Retrievals #Knowledge Engineering Tools and Techniques #Time and Knowledge Management Tools #Knowledge Modelling, Integration, Transformation, and Management, #Uncertainty Knowledge Management #Knowledge Visualization #Mobile Computing and Mobile System Engineering #Mobile App Design and Development #Innovative Mobile Applications #Pervasive Computing #Mobile System Validation and Test Automation #Software & System Quality of Service #Soft Computing #Software and System Testing Methods #Quality Assurance Process, Standards, and Systems #Software Safety Systems #Software Test Automation and Tools #Software Dependability, Reliability, Scalability #Software & System Security #Software and System Security and Privacy #Mobile App Security and Privacy #Encryption Methods and Tools #Security Service Systems #Cloud, Sensor Cloud and Mobile Cloud Security #Mobile System Integrity, Security and Fault Tolerance #Emergent Topics #Cloud Computing and Innovative Cloud-Based Application Systems #Mobile Cloud Computing and Application Services #Big Data Analytics Application Systems #Innovative Sensing Cloud and Systems #Large-Scale Cyber Systems #IoT and Smart City Application Systems #Big Data Quality Validation #Big Data Application Quality Services #Smart Learning and Innovative Education Systems #Learning Software Design Engineering #Smart Learning Methods and Environments #Online Learning Systems #Mobile Enabled Learning Systems and Tools #Computer Networks and Inventive Communication Technologies #Addressing & Location Management #Broadband Access Technologies #Adhoc and Sensor Networks #Cross Layer Design and Optimization #Heterogeneous Wireless Networks #High Speed Networks #Internet and Web Applications #Measurement & Performance Analysis #Mobile & Broadband Wireless Internet #Mobile Networks & Wireless LAN #Network Architectures #Network Based Applications #Network Protocols & Wireless Networks #Network Operations & Management #Network Security Trust, & Privacy #Next Generation Internet & Web Architectures #Peer to Peer and Overlay Networks #QOS And Resource Management #Recent Trends & Developments in Computer Networks #Routing, Switching and Addressing Techniques #Self-Organizing Networks and Networked Systems #Ubiquitous Networks #Virtual & Overlay Networks #Wireless Communications #Wireless Mesh Networks and Protocols #Wireless Multimedia Systems #Personal and Wearable Networks #Wireless ad hoc & Sensor Networks #Information-Centric Networking #Embedded Networks #Opportunistic Networking #Delay-Tolerant Networks #Cognitive Radio Networks #Vehicular Networks #Smart Grid Communications #Underwater Sensor Networks #Cyber-Physical Systems #Social Networks #Mobile and Ubiquitous Networking #Green Networking #Overlay and Peer-to-Peer Networks #Local-Area and Metropolitan-Area Networks #Storage-Area Networks #Routing and Transport Protocols #Big Data Networking #Cloud Computing and Networking #Software Defined Networking and Network Function Virtualization #Internet of Things #Link Technologies #Adaptive Networking Applications #Authentication, Authorization, Accounting #Security and Privacy #Cross-Layer Optimization #Mobility and Location-Dependent Services #Multimedia and Real-Time Communication #Machine-to-Machine Communications for Smart Environments #Smart Cities #Network Traffic Characterization and Measurements #Network Management, Reliability and QoS 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Processing #Information and Data Security #Internet Technologies, Infrastructure, Services & Applications #Nano Technology #Mobile Computing and Applications #Multimedia Communications #Network Modelling and Simulation #Network Performance, Protocols, Sensors #Networking Theory and Technologies #Open Models and Architectures #Pattern Recognition #Perception and Semantic Interpretation #Production #Real-Time Information Systems #Remote Sensing #Security Technology and Information Assurance #Soft Computing #Software Engineering & Its Applications #Signal Control System & Processing #Speech Interface, Speech processing #Structural Engineering #Thermal Engineering #Ubiquitous Multimedia Computing #Vision-Based Applications #VLSI Algorithms #Web Technologies #Textile Engineering #Recent on Mechanical Engineering and Technology #Fluid Mechanics #Applied Mathematics and Mechanics #Biomechanics #Heat Transfer #Solid Mechanics #Refrigeration and Air Conditioning #Renewable Energy Technology 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Profibus DP
Kacper Falkiewicz

Kacper Falkiewicz, Faculty of Electrical Engineering, Gdynia Maritime University, Gdynia, Poland.

Open Access | Editorial and Publishing Policies | Cite | Zenodo | OJS | 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: The article contains information related to the Profibus DP communication protocol. The article will discuss the basic protocols used in industrial networks and an example application of the Profibus protocol. It will then discuss the Profi-bus network, the principles of the protocol, and the description and configuration of a workstation configured according to the Profibus DP standard. The task uses a Siemens S7-1200 family controller operating in master mode, a VIPA DI/DO island operating in slave mode, and a light sensor as a measuring element.

Keywords: Communication Protocol, PLC, Profibus DP, Siemens
Scope of the Article: Electrical and Electronics

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I995213090824

IJITEE Journal — Wed, 28 Aug 2024 04:01:49 +0000

Comparative Study of Machine Learning Based Diabetes Predictive System
Ratna Kumari Challa¹, Buduri Reddaiah², Kanusu Srinivasa Rao³, Krishnaiah Pulluru⁴, Ranga Swamy Sirisati⁵, Venkata Narayana Reddy⁶

¹Ratna Kumari Challa, Department of Computer Science and Engineering, AP-IIIT, RGUKT, RK Valley, Idupulapaya, Kadapa (A.P.), India.

²Buduri Reddaiah, Department of Computer Science and Technology, Yogi Vemana University, Kadapa (A.P.), India.

³Kanusu Srinivasa Rao, Department of Computer Science and Technology, Yogi Vemana University, Kadapa (A.P.), India.

⁴Krishnaiah Pulluru, Department of Computer Science and Technology, Yogi Vemana University, Kadapa (A.P.), India.

⁵Ranga Swamy Sirisati, Department of Computer Science & Engineering, Vignan’s Institute of Management and Technology for Women, Kondapur (Telangana), Ghatkesar.

⁶Venkata Narayana Reddy, Department of Computer Science and Technology, Yogi Vemana University, Kadapa (A.P.), India.

Abstract: Diabetes is one of the most lethal diseases in the world. It is also a precursor to various other disorders such as coronary failure, blindness, and kidney diseases. Patients often need to visit diagnostic centres to get their reports after consultation, which requires a significant investment of time and money. However, with the growth of machine learning methods, we can now address this issue. Advanced systems utilizing information processing can forecast whether a patient has diabetes or not. Furthermore, early prediction of the disease can provide patients with critical interventions before it fully develops. Data mining techniques can extract hidden information from large datasets of diabetes-related information. This research aims to create a system that can predict a patient’s diabetic risk level with higher accuracy. The model development is based on classification methods, including K-Nearest Neighbours, Decision Trees, and Support Vector Machine (SVM) algorithms. For K-Nearest Neighbours, the model achieves an accuracy of 71%. For SVM, the accuracy is 78%, and for the Decision Tree algorithm, it is 70%. The outcomes demonstrate a significant accuracy of these methods.

Keywords: Diabetes, SVM, KNN, Decision tree, Accuracy
Scope of the Article: Computer Science and Applications

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I995113090824

IJITEE Journal — Wed, 28 Aug 2024 03:54:45 +0000

Datadog with Zigbee Wireless Communication Network Protocol for an Internal Implementation in an Educational Institution
P. Swapna¹, Bandi. Aruna², G. Vinutha³, Ch. Mary Pushpa⁴

¹P. Swapna, Department of Computer Science, St. Pious X Degree & PG College for women, Nacharam, Hyderabad (Telangana), India.

²Bandi. Aruna, Department of Computer Science, St. Pious X Degree & PG College for women, Nacharam, Hyderabad (Telangana), India.

³G. Vinutha, Department of Computer Science, St. Pious X Degree & PG College for women, Nacharam, Hyderabad (Telangana), India.

⁴Ch. Mary Pushpa, Department of Computer Science, St. Pious X Degree & PG College for women, Nacharam, Hyderabad (Telangana), India.

Abstract: Wireless Sensor Networks are the most powerful technique for monitoring Environmental factors. As the role of WSN relies entirely on the service life of the sensor nodes, it is necessary to have complete network monitoring. Energy efficiency has always been a key concern for Wireless sensor networks. This paper presents a detailed literature review that examines how an artificial intelligence networking tool(datalog)can be used with ZIGBee-based network protocol for continuous Real-time data quality monitoring to detect bad data quality issues in an educational organization It also Tracks and improves application speed by following requests from beginning to end and monitoring application performance. By utilising AI algorithms for routing decisions and optimisation methods, the study seeks to enhance network performance, energy efficiency, and system scalability. The analysis of various routing strategies with AI implementations will be covered, emphasising the potential advantages and challenges of this innovative approach within an organisation.

Keywords: Protocol, Routing, Dashboard.
Scope of the Article: Computer Science and Applications

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I994913090824

IJITEE Journal — Wed, 28 Aug 2024 03:47:23 +0000

Impact of AI on Manufacturing and Quality Assurance in Medical Device and Pharmaceuticals Industry
Priyankkumar Patel

Priyankkumar Patel, Department of Quality Engineer, Medical Device Industry, USA.

Abstract: Global health and well-being largely depend on the pharmaceutical and medical device industries. Manufacturing and quality assurance (QA) processes are crucial to maintaining product efficacy, safety, and regulatory compliance in these sectors. Artificial intelligence (AI) integration presents groundbreaking opportunities to enhance these processes. This study aims to systematically assess the impact of AI on manufacturing and QA in the pharmaceutical and medical device industries. It examines the benefits, challenges, and ethical and legal implications of integrating AI. It offers a thorough understanding of how AI technology can and has been successfully integrated to enhance business operations. An extensive literature review was conducted to examine the application, role, benefits, and challenges of AI in manufacturing and quality assurance processes across various industries. Research was also conducted on emerging trends, future developments, and regulatory issues. Increased productivity, early detection of defects, safer and higherquality goods, improved regulatory compliance, reduced costs, and more flexibility and scalability are some advantages of AI technologies. However, significant obstacles also need to be overcome, such as high capital costs, data quality and availability issues, legacy system integration, ethical concerns about bias and data privacy, difficulties with regulatory compliance, and a lack of AI-skilled workers. Case studies demonstrate how AI has been leveraged to ensure regulatory compliance and streamline processes. AI integration has much to offer the pharmaceutical and medical device industries in terms of improved manufacturing and quality assurance procedures. By addressing restrictions and seizing novel opportunities, these industries can use AI’s transformative potential to support innovation, enhance product quality and safety, ensure regulatory compliance, and improve global health outcomes.

Keywords: Artificial Intelligence, Medical Devices, Pharmaceuticals, Manufacturing, Quality Assurance, Regulatory Compliance.
Scope of the Article: Artificial Intelligence & Methods

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I994413090824

IJITEE Journal — Wed, 28 Aug 2024 03:40:21 +0000

Interactions of a Deformable Wheel with a Deformable Support Surface
Kovbasa Volodymyr¹, Priliepo Nataliia²

¹Kovbasa Volodymyr, Professor, Department of Mechanical and Electrical Engineering, Poltava State Agrarian University, Poltava, Ukraine.

²Priliepo Nataliia, Ph.D. Student, Department of Mechanical and Electrical Engineering, Poltava State Agrarian University, Poltava, Ukraine.

Abstract: The article analyses methods for solving problems related to the compacting effect of drive systems on the support surface (soil). The analysed results of studies on the distribution of pressures and tensions in contact surfaces depend on the propulsors’ mechanical properties and the material of the support surface. The article also includes an analysis of methods for formalising contact surfaces and constructing mathematical models to determine the distribution of pressures, deformations, and tensions within these surfaces. Numerical methods for solving contact problems that have been used recently are not integral. To obtain such solutions, numerical FEM and DEM methods can be employed for a specific issue, i.e., for a problem with a known geometric data source and specific mechanical properties of the contacting body. Based on the studies conducted, it was concluded that to understand the interaction of a deforming wheel with a deformable surface, an analytical method for solving contact problems in a three-dimensional setting is the most general and productive approach. It’ll allow us to determine the geometrical dimensions and shapes of the contact spot, as well as the dependencies of the geometrical parameters of the wheel, rolling resistance, and the tension-strain state of the contacting surfaces on the loading conditions of the wheel, its mechanical properties, and the support surface.

Keywords: Deforming Wheel, Support Surface, Soil Compaction, Pressure and Tension in the Contact Surface, Contact Zones of Deformable Bodies.
Scope of the Article: Mechanical Engineering and Applications

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I93570710921

IJITEE Journal — Wed, 28 Aug 2024 03:30:28 +0000

End Connectors Stress Analysis for Horizontal Pressure Vessel
Sourabh Verma

Sourabh Verma, Department of Mechanical Engineering, Bikaner (Rajasthan), India.

Abstract: The gas and oil industry extensively utilizes horizontal pressure vessels to store its primary sources. These vessels are designed to withstand high levels of pressure and to release contents in a controlled manner. Although the sphere-shaped storage container is widely regarded as a better-engineered structure, the ease of manufacturing makes horizontal pressure vessels the preferred choice. This paper presents an in-depth analysis of stress distribution in horizontal pressure vessels with various end connections, including hemispherical, ellipsoidal, flat-head, and torispherical configurations. The study involves both analytical and finite element analysis (FEA) to compare the stress distribution across the aforementioned end connections. Key vessel dimensions, such as internal diameter, vessel thickness, and end connections, have been determined through analytical design. A detailed structural analysis helped determine which of the different end connectors is best suited for industrial use.

Keywords: Horizontal Pressure Vessel, end Connections, FEA Analysis, Structural Analysis, CAD Models
Scope of the Article: Mechanical Engineering and Applications

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Volume-13 Issue-9, August 2024 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

I993813090824

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