Volume-14 Issue-9, August 2025 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

I113014090825

IJITEE Journal — Tue, 19 Aug 2025 12:05:27 +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 #Performance Evaluation of Networks #Testbeds for Network Experiments #Network Coding #Optical and High-Speed Access Networks #Resent Engineering and Nano Technology #Advanced Computing Architectures and New Programming Models #Bio-Science and Bio-Technology #Collaborative Applications #Communication Architectures for Pervasive Computing #Computer Vision #Computer Science and Its Applications #Computational Techniques in Civil Engineering #Control and Automation #Concrete Engineering #CAD/CAM/CIM #CAE #Database Theory and Application #Data Base Management System #Data Mining #Decision Making #Digital Signal Processing Theory #Distributed Sensor Networks #Distributed Computing #Mechanical Design #Evolutionary Computing and Intelligent Systems #Expert Approaches #Environmental Engineering #Fuzzy logics #Foundation Engineering #FEA #GPS and Location-Based Applications #Grid Networking/ Computing #GEOTECH Engineering #Highways #Human Computer Interaction (HCI) #Image Analysis and 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 #Materials Engineering #Composite Materials #Marine Engineering #Petroleum and Mineral Resources Engineering #Textile Engineering #Industrial Engineering #Operational Research #Manufacturing Processes #Machine Design #Quality Control #Mechanical Maintenance #Tribology #CAD/CAM #Aeronautical Engineering #Production Engineering #Welding Technology #Robotics Engineering #Aerospace Engineering #Metallurgy #Rock Mechanics and Mining Sciences #Solid and Structural Mechanics #Theoretical and Applied Fracture Mechanics #Advance Civil Engineering and Technology #Assemblage and System #Behaviour of Structures #Behaviour of Structures under Seismic Loads #Building and Environmental Acoustics #Building Climate Systems #Building Energy #Civil and Environmental Engineering #Coastal Engineering #Composite Materials #Concrete Structures #Construction Economics #Construction Engineering #Design and Performance of Green Building #Design Optimization of Structures #Earthquake Engineering #Energy Efficient Building Technology #Energy Saving Building Materials #Evaluation of Building Envelope Systems under Structural and Environmental Loads #Evaluation of Glazing Systems for Energy Performance #Fire Engineering #Foundations Dynamics #Geotechnical Engineering #Health Monitoring and Life Prediction of Structures #High Performance Concrete #Hydraulic Engineering #Life Cycle Engineering #Materials and Durability #Materials Engineering #Mechanics and Materials Aspects of Advanced Construction Materials #Municipal or Urban Engineering #Nondestructive Testing and Evaluation #Numerical Modelling of Structures #Optimal Design of Structures #Properties and Mechanics of Concrete #Residential, Commercial, Industrial and Public Works #Seismic Evaluation of Building Nonstructural Components #Simulation Optimization and Risk Management #Soil-Structure Interaction #Structural Engineering #Structural Evaluation of Panelized and Masonry Wall Systems #Structural Reliability Analysis #Surveying #Sustainable Structures #Transportation Engineering #Ventilation and Indoor Air Quality #Water Supply and Drainage #PhD ademic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #ESCI #Science #Journal #Conference #SSRN #PubLons #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

Modernizing Write-Heavy Scenarios in Distributed Systems: LSM Trees and Scylla DB
Bandi. Aruna¹, P. Swapna², G.Vinutha³, Ch. Mary Pushpa⁴

¹Bandi. Aruna, Assistant Professor, Department of Computer Science, St. Pious X Degree and PG College for Women, Hyderabad (Telangana), India.

²P. Swapna, Department of Computer Science, St. Pious X Degree and PG College for Women, Hyderabad (Telangana), India.

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

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

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: As modern applications become increasingly dataintensive, there is a growing demand for database systems that can efficiently manage high write-throughput workloads without compromising on performance or scalability. This research examines the internal mechanisms of ScyllaDB, a highperformance NoSQL database that utilises Log-Structured Merge (LSM) trees to address the challenges of write-intensive environments. ScyllaDB optimises data ingestion and persistence by utilising in-memory MemTables, commit logs for durability, and immutable SSTables for disk storage, which are periodically merged through compaction processes to enhance read efficiency and reduce disk usage. The study examines the architectural components of ScyllaDB, focusing on the roles of SS Tables and compaction strategies—Size-Tiered, Levelled, and Time-Window Compaction—in managing storage and retrieval. Experimental deployment within an educational institutional setting demonstrates ScyllaDB’s ability to maintain low-latency writes and scalable data distribution across multiple nodes, highlighting the effectiveness of schema design, partitioning, and resource management. Furthermore, the paper introduces a novel cluster auto-tuning algorithm for ScyllaDB that dynamically adjusts system parameters (e.g., memory allocation, compaction rate, and thread pools) based on real-time performance metrics. A mathematical model is proposed to optimise system latency and throughput under workload variations, utilising reinforcement learning-inspired logic and resource-constrained optimisation. The findings validate ScyllaDB’s effectiveness in high-volume scenarios such as real-time analytics, IoT data management, and time-series databases, positioning it as a robust alternative to traditional relational systems and legacy NoSQL platforms. The proposed auto-tuning framework holds promise for future selfadaptive database clusters in dynamic environments. This research provides practical insights into deploying and optimising write-intensive database systems for modern distributed computing needs.

Keywords: ScyllaDB, LSM Trees, SS Tables, Write-heavy Workloads, Compaction, Auto-tuning, Distributed Databases.
Scope of the Article: Smart Computing

Download PDF

The post I113014090825 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

I112214090825

IJITEE Journal — Tue, 19 Aug 2025 11:55:23 +0000

Building an Application to Monitor Abnormal Network Node Traffic using Graph Learning Method
Phan Thi Ha¹, Trinh Thi Van Anh²

¹Dr. Phan Thi Ha, Lecturer, Faculty of Information Technology at Posts and Telecommunications Institute of Technology (PTIT) in Ha Noi, Vietnam, and Computing Fundamental Department, FPT University, Hanoi, Viet Nam.

²Th S. Trinh Thi Van Anh, Lecturer, Faculty of Information Technology at Posts and Telecommunications Institute of Technology (PTIT) in Ha Noi, Vietnam, and Computing Fundamental Department, FPT University, Hanoi, Viet Nam.

Abstract: The authors have developed an advanced monitoring application based on state-of-the-art graph learning methods to enhance the management and operational safety of telecommunications and network systems in Vietnam. This system integrates Long Short-Term Memory (LSTM) [6], Graph Convolutional Networks (GCNs) [5], and Graph Attention Networks (GATs) [4] to model and analyse the dynamic behaviour of network nodes. By combining temporal and structural features of network data, the application is capable of detecting anomalies, forecasting potential failures, and recommending timely interventions with minimal human oversight. These predictive capabilities significantly enhance the reliability, efficiency, and safety of telecommunications infrastructure, while also reducing downtime and lowering operational and maintenance costs. Additionally, the authors have developed custom software tools to support the labelling of raw datasets collected from network nodes. These datasets originate from existing static alerting systems used by network operators. The labelling tool enables efficient and consistent annotation of data, which is crucial for training and validating machine learning models. By transforming unstructured raw logs into structured labelled data, the system ensures higher accuracy in learning algorithms. Overall, this solution offers a practical and intelligent approach to managing large-scale network systems, particularly in developing regions like Vietnam, where automation and cost efficiency are critical.

Keywords: Long Short-Term Memory (LSTM), Graph Convolutional Networks (GCNs), Graph Attention Networks (GATs).
Scope of the Article: Artificial Intelligence and Methods

Download PDF

The post I112214090825 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

I112014090825

IJITEE Journal — Tue, 19 Aug 2025 11:47:33 +0000

Design and Simulation of a Three-Phase Induction Motor for Speed Control using Constant V/f Technique with Sinusoidal PWM-Based Inverter
Rishavi Borthakur¹, Aditya Bihar Kandali²

¹Rishavi Borthakur, Department of Electrical Engineering, Jorhat Engineering College, Guwahati (Assam), India.

²Dr. Aditya Bihar Kandali, Department of Electrical Engineering, Jorhat Engineering College, Jorhat (Assam), India.

Abstract: Induction motor (IM) drives are extensively employed in a wide range of industrial and process control applications due to their robustness, cost-effectiveness, and maintenance-free operation. In high-performance drive systems, precise control of the motor speed is essential to meet stringent dynamic and steadystate requirements. These systems must ensure that the motor speed accurately tracks a predefined reference trajectory, even in the presence of external load disturbances and variations in system parameters. This paper presents an analysis of the speed control system of an induction motor driven by a voltage source inverter (VSI), incorporating a Proportional-Integral (PI) controller into the feedback loop. The control methodology adopts a constant volts-per-hertz (V/f) ratio to ensure efficient motor performance. A comparative evaluation between open-loop and closed-loop configurations of a squirrel-cage rotor type induction motor is done using the Sinusoidal Pulse Width Modulation (SPWM) technique based on MATLAB/Simulink under the Discrete mode of operation. Simulation results confirm that the closed-loop SPWM method outperforms the open-loop SPWM method under load disturbances, rendering it a highly effective strategy for dynamic industrial applications.

Keywords: VSI, PWM, SPWM, SVPWM, Induction Motor, IGBT, Closed-Loop Control, Constant V/F, PI Controller.
Scope of the Article: Electrical and Electronics

Download PDF

The post I112014090825 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

H111614080725

IJITEE Journal — Tue, 19 Aug 2025 11:37:29 +0000

Cross-Platform Development of a University Campus Navigation System Using Kotlin Multiplatform
Prathamesh Bhusekar¹, Shivanand Manyar², Hrishita Thanekar³, Vidya Chitre⁴

¹Mr. Prathamesh Ravindra Bhusekar, Department of Information Technology, Vidyalankar Institute of Technology, Vashi (Maharashtra), India.

²Mr. Shivanand Manyar, Department of Information Technology, Vidyalankar Institute of Technology, Vashi (Maharashtra), India.

³Ms. Hrishita Thanekar, Department of Information Technology, Vidyalankar Institute of Technology, Vashi (Maharashtra), India.

⁴Dr. Vidya Chitre, Department of Information Technology, Vidyalankar Institute of Technology, Vashi (Maharashtra), India.

Abstract: Navigating vast university campuses is usually a significant problem, especially for newcomers or fresh admissions. Traditional resources, such as static maps or markers, often fail to provide an efficient method for guiding users through complex and multi-level campus areas, particularly within indoor environments. This document presents a cross-platform mobile app that has been implemented using Kotlin Multiplatform to address this urgent problem. The proposed solution is a campus navigation app that is entirely independent of internet connections and GPS, thereby being highly efficient in areas where connections or GPS signals are weak, such as building interiors. The core idea is to display users a series of preloaded checkpoint images and corresponding text prompts, rather than relying on dynamic GPS location tracking. The checkpoint-based navigation allows users to navigate around the campus manually advancing through sequential visual cues, thus providing user control and simplicity. The development is carried out using Kotlin Multiplatform to enable the sharing of logic across Android and iOS, thus providing instant development and identical functionality across both platforms. Shared modules are used for navigation logic, route control, and user input, while platform-specific code is reserved for rendering the user interface only. The application design focuses on simplicity and a visual direction system that maximises accessibility and clarity. This research work was conducted to fill the gaps in indoor navigation systems and present a comprehensive solution for educational campuses where real-time GPS technology is not economically viable. The value of this research lies in its platform independence, offline capability, and focus on practical implementation in real-world environments. By presenting a feasible solution to navigating campus spaces without GPS and internet connectivity, this research work contributes to software engineering, human-computer interaction, and location-based applications. Future development could include the integration of augmented reality and indoor positioning technologies to improve the overall user experience.

Keywords: Campus Navigation, Kotlin Multiplatform, Cross-Platform Development, Mobile Application.
Scope of the Article: GPS and Location-Based Applications

Download PDF

The post H111614080725 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

H111114080725

IJITEE Journal — Tue, 19 Aug 2025 11:23:18 +0000

Integration of Big Data and IoT: A Review
Amit Kumar¹, Kanchan Singh², Aman Jyoti³

¹Amit Kumar, Department of Electronics Communication Engineering, Lingaya’s Vidyapeeth, Faridabad (Haryana), India.

²Kanchan Singh, Department of Electronics Communication Engineering, Lingaya’s Vidyapeeth, Faridabad (Haryana), India.

³Aman Jyoti, Assistant Professor, Department of Electronics Communication Engineering, Lingaya’s Vidyapeeth, Faridabad (Haryana), India.

Abstract: In today’s world, data is everywhere — whether it’s coming from devices, sensors, or digital systems used across different industries. As this data continues to grow, it has become increasingly important not only to collect it but also to make sense of it in real-time. That’s where the combination of Big Data and the Internet of Things (IoT) comes in. While IoT helps collect information from the physical world using connected devices, Big Data tools help process that information to identify functional patterns, trends, or warnings. This paper examines how these two technologies work together and how they’re being applied in realworld situations, such as hospitals, smart cities, farms, and factories. It also discusses the benefits, such as faster decisionmaking and more efficient systems. Still, it doesn’t overlook the challenges, including data security, handling large volumes, and ensuring that different systems work smoothly together. In short, this review examines how Big Data and IoT support each other, where they’re already making a difference, and what needs to be improved going forward. The goal isn’t just to explain the technology, but to give a real picture of how it’s shaping the way we work and live today — and what that could mean for the future.

Keywords: Big Data, IoT, Cloud Computing.
Scope of the Article: Internet of Things (IoT)

Download PDF

The post H111114080725 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

Volume-14 Issue-9, August 2025 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

I113014090825

Share this entry

I112214090825

Share this entry

I112014090825

Share this entry

H111614080725

Share this entry

H111114080725

Share this entry