Innovative Engineering Sciences and Technological Research (ICIESTR), International Conference on
2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR)
14-15 May 2024
Showing 1-25 of 107
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The proceedings of this conference will be available for purchase through Curran Associates.
60916-ICIESTR, 2024 (PRT)
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Recent Advancements in Manipulator-Equipped Unmanned Aerial Vehicles (UAVs)
Publication Year: 2024,Page(s):1 - 4
This brief review paper aims to discuss and show a technical analysis of latest progress in manipulator equipped Unmanned Aerial Vehicles (UAVs). A manipulator can increase the robustness and adaptability of UAV, but it can also have an impact on how well it performs. The installation of a manipulator can lead to several issues, such as the UAV being unstable because of the added weight, sluggish ...Show More
Bee Disease Varroa Prediction: Utilizing Convolutional Neural Networks with Augmentation for Robust Detection and Identification of Honeybee Infection
Aman Sharma;Soheil Varastehpour;Iman Ardekani;Hamid Sharifzadeh
Publication Year: 2024,Page(s):1 - 6
Honeybees, integral to global pollination and food security, confront an imminent threat posed by the Varroa destructor mite. Timely identification of Varroa infestations is pivotal for sustaining bee populations. This research introduces a pioneering strategy for early detection, harnessing cutting-edge deep learning methodologies, specifically centered around Convolutional Neural Networks (CNNs)...Show More
Smart Switch Technology: IoT Integration with Touch Control for Improved Accessibility
Publication Year: 2024,Page(s):1 - 6
The Internet of Things (IoT) has ushered in an era of transformative innovation, revolutionizing the way we interact with our surroundings. In the context of home automation, the IoT-Based Smart Switch with Touch Control project represents a leap forward in convenience and efficiency. This research explores the development and implementation of a switch board devoid of mechanical components, relyi...Show More
Improving The Performance of Handwritten Digits Recognizing Using Convolutional Neural Network with Augmentation Techniques
Publication Year: 2024,Page(s):1 - 6
Generally, human beings can see and feel everything around the world with their eyes, and handwritten digits images can be recognized very easily by humans in any format. But the most formatted handwritten digits images only can be easily recognized by the computer. The purpose of this article is to deal with some methods so that the computer understands the irregular handwritten digits. More rese...Show More
Comparative Analysis of Long-Short Term Memory, Gated Recurrent Unit, and eXtreme Gradient Boosting for Forex Prediction: A Deep Learning Approach
Riya Adlakha;Soheil Varastehpour;Masoud Shakiba;Iman Ardekani
Publication Year: 2024,Page(s):1 - 6
The Foreign Exchange (Forex) market is a dynamic arena where fortunes are won and lost in an instant inside the ever-changing financial markets, which are typified by the complex dance of global currencies. Accurate forecasting is essential for financial success in the volatile Forex market. This paper supports the use of cutting-edge machine learning methods in financial forecasting, with a parti...Show More
A Novel Flow Priority and Continuity Control Mechanism in SDN Network
Fouad A. Yaseen;Nahlah Abdulrahman Alkhalidi;Fawziya Nasser Al Wahaibi
Publication Year: 2024,Page(s):1 - 6
In recent days, the escalating need to seamlessly transfer data traffic without discontinuities across the Internet network has exerted immense pressure on the capacity of these networks. Consequently, this surge in demand has resulted in the disruption of traffic flow continuity. Despite the emergence of intelligent networking technologies such as software-defined networking, network cloudificati...Show More
Compact Substrate Integrated Waveguide Filter with Ring Shaped Split-Ring Resonator
Publication Year: 2024,Page(s):1 - 4
In this paper, we have designed substrate integrated waveguide filter for two different cases that is for single stage and two stage. The overall performance has been enhanced with the introduction of ring shaped SRR structures on the conducting layers of the filter. The reduction in size of the filter and also high Q factor is possible with the implementation of SRR. The comparison has been estab...Show More
Voltage and Frequency Control of A Synchronous Generator Implementing Fuzzy Logic Approach
Publication Year: 2024,Page(s):1 - 6
Cited by: Papers (1)
Power systems are becoming increasingly interconnected in the modern era. In tie-lines, there is a dynamic variation in the flow of power and load. Strong control over the tie-line power flow and system frequency is therefore necessary. Fuzzy logic controllers, as opposed to more conventional systems that use proportional, PI, and PID controllers, can be used to achieve robust control. This is bec...Show More
Performance Investigation of Archimedes Wind Turbine Using Computational Fluid Dynamics (CFD) Analysis
Publication Year: 2024,Page(s):1 - 6
Archimedes Wind Turbines AWT are considered one of the latest horizontal axis wind turbines HAWT which have shown the ability to produce reasonable amount of energy at low wind speed regimes for small scale power generation. It works on angular momentum conservation, it uses both lift and drag force, and cutoff speed of its rotor is quite low, which increases its efficiency in comparison to conven...Show More
Enhanced Lightweight Image Encryption Utilizing Stream Cipher and Secure Hashing Algorithm
Sara Maher Hamad;Nizar Al Daradkeh;Ammar Odeh;Anas AbuTaleb;Qasem S. Abu Al-Haija
Publication Year: 2024,Page(s):1 - 5
This paper introduces an enhanced lightweight image encryption method, combining a stream cipher and the Secure Hash Algorithm (SHA). The primary focus is developing a robust and efficient encryption technique tailored to images. The paper presents a comprehensive analysis of the proposed encryption algorithm, benchmarked against existing methods. This comparison uses critical performance metrics ...Show More
High Performance Tracking Optimal Linear Matrix Inequality-Fractional-order PI for MIMO Processes
P. Arun Mozhi Devan;M. Nagarajapandian;T. Anitha;Maher Assaad;Fawnizu Azmadi Hussin
Publication Year: 2024,Page(s):1 - 6
The simple design, tuning, and quick implementation of the PI family of controllers influence single-input, single-output (SISO) process control applications. However, with the industrial revolution, many industrial processes are now designed as multiple-input multi-output (MIMO) systems. The conventional controllers in this process produce suboptimal performance due to the system’s non-linear, in...Show More
LMI Based PI Controller Design for a Multivariable System with High-performance Tracking for Non-minimum Phase Systems
M. Nagarajapandian;P. Arun Mozhi Devan;T. Anitha;Srinivasan. K;Maher Assaad;Fawnizu Azmadi Hussin
Publication Year: 2024,Page(s):1 - 6
This study develops a modified Linear Matrix In-equality with a PI controller to manage the multivariable process and maintain the effective liquid level system. The proposed method is designed by converting the PI into state feedback, and then the problem is determined using the convex optimization problem. The controller synthesis is reduced to an equivalent static output feedback control proble...Show More
RDM-3D: A Remote Dashboard for 3D Printer Performance Monitoring
Publication Year: 2024,Page(s):1 - 5
This research project focuses on the development and implementation of a digital twin system aimed at addressing limitations inherent in 3D printing technology. Leveraging IoT sensors and predictive maintenance algorithms, the project endeavors to enable remote monitoring and proactive identification of potential failures during the printing process. The digital twin, synchronized with the physica...Show More
Machine learning has become a powerful tool in many applications including the communication systems. Automatic modulation classification (AMC) has attracted researchers and engineers in recent years. It is used to classify a captured signal’s modulation scheme in receivers without any prior statistics about the signal. This paper investigates three deep learning techniques: ANN, SVM and CNN. Thes...Show More
Design and Development of a Robotic Dental Surgical Manipulator
Muhammad Umair Ahmad Khan;Qasim Ishaq Khan;Waqas Tariq Toor;Muhammad Rehan Chaudhry;Hafiz Muhammad Salman Ajmal;Sameen Ahmed Malik
Publication Year: 2024,Page(s):1 - 5
This study introduces a robotic manipulator designed for dental surgical procedures, addressing the challenges posed by the COVID-19 pandemic. Traditionally, dental surgeons work in close proximity to patients, but during COVID-19 outbreak, this proximity can increase the risk of virus transmission to the surgeon. To reduce this risk, a 5-DOF (Degree of Freedom) robotic manipulator has been develo...Show More
TARLEN: Traffic Accident Risk Levels Nowcasting leveraging Spatiotemporal Deep Learning on Intelligent Transportation Data
Auwal Sagir Muhammad;Rufai Zakari Yusuf;Dabo Hammaadama Hammadu;Longbiao Chen;Cheng Wang
Publication Year: 2024,Page(s):1 - 6
Traffic accidents impose enormous human and economic costs. Effective predictive modeling of collision risk levels can help mitigate harm through proactive prevention efforts. However, traditional approaches are limited by reliance on coarse aggregate statistics and the inability to capture complex spatiotemporal dynamics. This paper presents a deep learning framework for explainable, short-term n...Show More
High-Accuracy of MPPT based on Second Order Sliding Mode Control for Variable Wind Speed System
Publication Year: 2024,Page(s):1 - 6
This paper deals with a modeling and simulation study of a wind power system, aiming to address the significant challenge of designing a robust wind power system controller. The goal is to improve performance and capture the maximum power produced from the wind, regardless of wind speed fluctuations and parametric uncertainties variations in the system. Variable Speed Wind Power System is a kind o...Show More
A Scalable Approach to Counter Reliability and Load Balancing in Mobile Wireless Sensor Networks
Siddharth Kumar;Alankrita Aggarwal;Rattan Deep Aneja;Susama Bagchi;Sanjoy Kumar Debnath;Syed Mehr Ali Shah
Publication Year: 2024,Page(s):1 - 6
M-WSN, or Mobile Wireless Sensor Networks, are comprised of even smaller nodes and are run by even smaller batteries. Real-world factors like lint, corrosive substances, harsh weather, etc., can all cause a sensor node to fail. In this case, a trustworthy sensor node that can distribute the load among itself is necessary. Saving energy often wasted on crashes, resending information, and validating...Show More
Enhancing Cyber Attack Detection: An Analysis of Security Onion for Small and Midsize Enterprise
Publication Year: 2024,Page(s):1 - 6
With the advancement of technology, cyber-attacks are becoming more frequent than ever before. When a sophisticated attack occurs, organization business suffers adversely. Small and Midsize Enterprise (SME) operate with limited resources in terms of staff and budgets. Most SME does not have capabilities to detect advanced threats on their network and attackers can easily target them. Our research ...Show More
Effects of Petroleum Sludge On The Microstructural and Rheological Characteristics of Recycled Asphalt
Abdul Muhaimin Memon;Muslich Hartadi Sutanto;Arsalaan Khan Yousafzai
Publication Year: 2024,Page(s):1 - 6
The production and application of recycled asphalt pavement (RAP) is beneficial for preserving petroleum asphalt and mineral aggregates. However, increasing the RAP content raises performance concerns, thus necessitating the use of rejuvenators. In this research, the potential of using petroleum sludge (PS) as a rejuvenator for RAP was examined. The dynamic shear rheometer (DSR) was employed to ob...Show More
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The proceedings of this conference will be available for purchase through Curran Associates.
60916-ICIESTR, 2024 (PRT)
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