Volume-13 Issue-8, July 2024 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

H993613080724

IJITEE Journal — Thu, 25 Jul 2024 04:55:40 +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 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Transformer-Based Methods for Water Level Prediction: A Case Study of the Kien Giang River, Quang Binh Province
Bao Bui Quoc¹, Hung Nguyen Khanh², Hieu Nguyen Dac³, Dat Tran-Anh⁴, Quang Chieu Ta⁵

¹Bao Bui Quoc, Hanoi University of Science and Technology, No. 1 Dai Co Viet, Hai Ba Trung, 100000, Hanoi, Vietnam.

²Hung Nguyen Khanh, Hanoi University of Science and Technology, No. 1 Dai Co Viet, Hai Ba Trung, 100000, Hanoi, Vietnam.

³Hieu Nguyen Dac, Department of Artificial Intelligence, Thuyloi University, 175 Tay Son, Dong Da, 100000, Hanoi, Vietnam.

⁴Dat Tran Anh, Department of Artificial Intelligence, Thuyloi University, 175 Tay Son, Dong Da, 100000, Hanoi, Vietnam.

⁵Quang Chieu Ta, Department of Artificial Intelligence, Thuyloi University, 175 Tay Son, Dong Da, 100000, Hanoi, Vietnam.

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: Accurate and timely water level prediction is of paramount importance in various applications, including flood forecasting, hydroelectric power management, and environmental monitoring. Traditional recurrent neural network (RNN)-based methods have been widely used for this task. However, recent advancements in long-term time-series forecasting have introduced transformer-based models that have significantly improved the performance in time-series prediction tasks. In this research, we investigate the application of transformer-based models to the task of water level prediction, with a specific focus on the Nhat Le River Basin. We conducted multiple experiments with different test cases and various model architectures, providing particular analyses of the model’s prediction capabilities. The transformer-based models consistently outperformed conventional RNN-based methods across a range of evaluation metrics, including root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2 ). Moreover, these models exhibited excellent flood peak prediction accuracy, with errors consistently below 0.02 meters. The robustness and scalability of transformer-based models make them promising for accurate water-level predictions in real-world applications.

Keywords: Water level Prediction, Time Series Forecasting, Transformer-Based Models, Deep Learning.
Scope of the Article: Electrical and Electronics

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H993513080724

IJITEE Journal — Thu, 25 Jul 2024 04:45:37 +0000

UMIT Project Management System
Anita Morey¹, Tanvi Chile², Sejal Jadhav³, Seher Shah⁴

¹Dr. Anita Morey, Assistant Professor, Department of Information Technology, Usha Mittal Institute of Technology, SNDT Women’s University, Mumbai (Maharashtra), India.

²Tanvi Chile, Student, Department of Information Technology, Usha Mittal Institute of Technology, SNDT Women’s University, Mumbai (Maharashtra), India.

³Sejal Jadhav, Student, Department of Information Technology, Usha Mittal Institute of Technology, SNDT Women’s University, Mumbai (Maharashtra), India.

⁴Seher Shah, Student, Department of Information Technology, Usha Mittal Institute of Technology, SNDT Women’s University, Mumbai (Maharashtra), India.

Abstract: Usha Mittal Institute of Technology evaluates students’ projects through multiple stages over various semesters. To manage all project functionality and evaluate these projects per student using an automated system, we proposed the UMIT Project Management System. Currently, UMIT handles all the project work manually. The UMIT has many phases of the projects. In the third-year semester, VI, there is a project, Project I, which has two phases: Project I-A and Project I-B. In the Final year, semester VII students have Project II, which consists of two phases: Project II-A and Project II-B. Similarly, in the final year, Semester VIII, there is a Project III with four phases: Project III-A, Project IIIB, Project III-C, and Project III-D. All these phases have their rubric format for the evaluation. Managing all these phases with specific rubric formats and calculation of marks is very complicated on a manual basis. To perform all the project-related activities like submission of synopsis, evaluation schedule, group forming, guide allocation, Rubric mark sheet, etc. UMIT Project Management System has been developed. By alleviating the manual burdens associated with project evaluations, the UMIT PMS enhances accuracy and transparency, fostering an organised academic environment that is focused on quality and innovation. Its user-friendly design ensures accessibility for all users, promoting efficiency and innovation in project management.

Keywords: UMIT PMS, Admin, Rubric, Project, Students, Guide, Phases, Dashboard.
Scope of the Article: Computer Science and Applications

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H992813080724

IJITEE Journal — Thu, 25 Jul 2024 04:39:03 +0000

Modeling and Performance Parameters Analysis of Closed-Box Loudspeaker
Prathapchandra¹, Avinash², Ramachandra³

¹Dr. Prathapchandra, Department of Electronics and Communication Engineering, Shri Dharmasthala Manjunatheshwara Institute of Technology, Ujire, Karnataka, India.

²Dr. Avinash S, Department of Electronics and Communication Engineering, Shri Dharmasthala Manjunatheshwara Institute of Technology, Ujire, Karnataka, India.

³Mr. Ramachandra, Department of Electronics and Communication Engineering, Shri Dharmasthala Manjunatheshwara Institute of Technology, Ujire, Karnataka, India.

Abstract: Our comprehensive research on closed-box loudspeaker systems, which act as second-order high-pass filters, is innovative in understanding their low-frequency response. Two main system parameters, resonance frequency and total damping, are explored in a novel way. The resonance frequency, the proportion of total damping contributed by electromagnetic coupling, and overall compliance all have quantitative relationships with the system’s electroacoustic efficiency. Achieving a flat magnitude response, a key goal in this study, is approached from a fresh perspective. We utilise these parameters to optimise the loudspeaker’s low-frequency performance using WinISD speaker design software for Windows, a significant finding that will significantly benefit the field of audio technology. Furthermore, the impact of varying the compliance ratio on system performance is analyzed using MATLAB R2015a software, adding a new dimension to our understanding of system performance.

Keywords: Closed box Loudspeaker, Damping, Resonance Frequency, Electroacoustic Efficiency, Thiele Parameters.
Scope of the Article: Electrical and Electronics

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H992213080724

IJITEE Journal — Thu, 25 Jul 2024 04:32:41 +0000

Exploring the Spectral Database of Food Samples Using ASD Field Spec 4 Spectroradiometer
Vijay Dhangar¹, Dinesh Barode², Pravin Dhole³, Akshay Kshirsagar⁴, Bharti Gawali⁵

¹Vijay Dhangar, Department of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (Maharashtra), India.

²Dinesh Barode, Department of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (Maharashtra), India.

³Pravin Dhole, Department of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (Maharashtra), India.

⁴Akshay Kshirsagar, Department of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (Maharashtra), India.

⁵Dr. Bharti Gawali, Department of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (Maharashtra), India.

Abstract: Accurate and precise spectral measurements reflect the inherent properties of the material being analyzed. However, certain factors contributing to changes in spectral signatures can adversely affect the quality of spectral measurements. In this study, we utilized the ASD FieldSpec4 Spectroradiometer, which offers an extensive spectral range spanning from 350 to 2500 nanometers, along with its associated software, to construct a spectral library of food samples. This paper defines a method for standard spectral reflectance measurements and the process for data collection.

Keywords: Spectral Measurement, FieldSpec, ASD, Spectroradiometer, Hyperspectral data, Remote Sensing, Field of View (FOV).
Scope of the Article: Computer Science and Applications

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H991613080724

IJITEE Journal — Thu, 25 Jul 2024 04:23:48 +0000

Improvements of the Bandwidth and Radiation Characteristics of a 5G Mobile Communications Microstrip Antenna with a Novel Wedge Shaped Substrate Design
Mouhamad S Abou Chahine¹, Mohamad Arnaout², Fatma Tangour³, Mohamad-Youssef Abu Shahine⁴

¹Mouhamad S Abou Chahine, LR2E Laboratory, ECAM-EPMI School of Engineering, Cergy, France.

²Mohamad Arnaout, Department of Electrical and Electronics Engineering, International University of Beirut, Beirut, Lebanon.

³Fatma Tangour, LR2E Laboratory, ECAM-EPMI School of Engineering, Cergy, France.

⁴Mohamad-Youssef Abu Shahine, Department of Electrical and Electronics Engineering, International University of Beirut, Beirut, Lebanon.

Abstract: This study proposes a new approach for designing microstrip antennas. The resonant frequency of the proposed antenna is 3.55 GHz, allowing it to operate in the current 5G band (mid-band). The design approach is based on a wedge-shaped substrate with a relatively low thickness at the level of the feed line and a higher thickness at the level of the radiating patch. The FR4 wedge substrate-based design of a 6 mm linear slope enhances the radiation by 9% and the bandwidth by 10.3%, while degrading the return loss by 2.3 dB compared to a standard box substrate-based antenna design of the exact dimensions. To remedy the degradation in terms of S11, the rectangular inset feed line is replaced by a trapezoidal one, which re-enhances the return loss by 3.4 dB, making it better than the original one.

Keywords: Bandwidth, Directivity, Inset Fed, Microstrip Antenna, Wedge Substrate, 5G Mobile Communication.
Scope of the Article: Electrical and Electronics

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Volume-13 Issue-8, July 2024 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

H993613080724

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