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All Journal Buletin Ilmiah Sarjana Teknik Elektro Journal of Robotics and Control (JRC) International Journal of Robotics and Control Systems Journal of Fuzzy Systems and Control (JFSC)
Salam Waley Shneen
Huazhong University of science and Technology
Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Journal : Journal of Fuzzy Systems and Control (JFSC)

 1 
Adaptive Fuzzy Filter Technique for Mixed Noise Removing from Sonar Images Underwater Aessa, Suad Ali; Ali, Ekbal Hussain; Shneen, Salam Waley; Abood, Layla H.
Journal of Fuzzy Systems and Control Vol. 2 No. 2 (2024): Vol. 2, No. 2, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i2.176

Abstract

Underwater Analysis of acquired images may be affected by low contrast, haze, and other disturbances., caused by scattering and absorption of the light through propagation. An adaptive fuzzy filter for three mixed noise reduction is adopted on underwater sonar images to take out the various noises that either appear in the image when captured or injected into the image when transmitted. Underwater images when captured usually have speckle noise, salt, pepper noise also Gaussian noise. Is suggested in this paper an adaptive fuzzy filter structure that combines the fuzzy filter, sigmoid sliding control to minimize error as possible, and mean filter to reduce three mixed noises from sonar images underwater. This technique gives the best results especially with speckle noise compared to mean filter, median filter as no adaptive filters, and fuzzy filters, frost filter as adaptive filters. The MATLAB programs are adopted to simulate the proposed system.
Beta-Deficient Estimators with Truncated Sampling Plan in Quality Control for the Auto Battery Industry Omran, Salman Hussien; Shneen, Salam Waley; AL-Khafaji, Mohanned M. H.
Journal of Fuzzy Systems and Control Vol. 2 No. 2 (2024): Vol. 2, No. 2, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i2.181

Abstract

Quality manipulation plays an essential feature in assuring product reliability and patron loyalty. Single Sampling Plans (SSPs) are usually utilized in excellent assurance to decide whether a batch of items should be popular or rejected based on sample characteristics. Truncated SSPs are a subset of those plans that offer benefits in sampling performance and price effectiveness. However, the lifestyles of outliers in accrued information will have a substantial impact on the accuracy and reliability of estimators employed in truncated SSPs. This examination explores the impact of outliers on the overall performance of truncated SSP estimators, in addition to their implications for quality control decision-making. We begin by providing a comprehensive overview of truncated SSPs and their applications in the industry. Then, at that point, delve into outlier detection methods and investigate their effectiveness in identifying potential anomalies inside tested information. Notwithstanding theoretical insights, this exploration incorporates a practical application where we exhibit the effect of outlier detection and robust estimation techniques on real-world quality control choices. By giving rules and recommendations for practitioners, this study expects to upgrade the reliability and effectiveness of truncated SSPs within the sight of outliers, eventually adding to further developed product quality and consumer satisfaction in manufacturing and other industries.
Characterization of Tensile Strength and Degradation of Polymer Blend Reinforced with Black Carbone Hafad, Sanaa A.; Hussin, Shemaa A.; Hmood, Abdalkalaq F.; Mahdi, Raghad R.; Shneen, Salam Waley
Journal of Fuzzy Systems and Control Vol. 2 No. 3 (2024): Vol. 2, No. 3, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i3.218

Abstract

Samples of polymeric sheets of high-specification polycarbonate, which is characterized by high resistance in its pure form, were prepared and combined with low-density polyethylene sheets, which show low specifications relative to polycarbonate in equal proportions of (PC-%LDPE) (100%,80% 50%,20%). The preparation of the layered polymer mixtures was carried out using the micro-mixing method using an extruder. The effect of the binary polymer blends (PC-%LDPE) was demonstrated in increasing the maximum strength, and the effectiveness of advanced mechanical properties. The degradation of polymeric sets had little effect with the reinforcement of 20% of black carbon powder compared to other ratios.
Fuzzy Logic-based PI Controller with PWM for Buck-Boost Converter Al-Dabbagh, Zainab Ameer; Shneen, Salam Waley; Hanfesh, Abduljabbar O.
Journal of Fuzzy Systems and Control Vol. 2 No. 3 (2024): Vol. 2, No. 3, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i3.239

Abstract

Electronic power converters have emerged and been widely used as a result of the use of direct current systems, and one of their most important uses is renewable energy such as solar energy. When electrical energy is generated from primary sources such as solar energy, converters can be added to convert to a higher or lower value using a buck-boost converter. If the converter is used and operated within an open-loop system, which is the first proposed test case, it is possible to verify the ability of the converter to convert with a constant current rate according to its function, but it turns out that the conversion, in this case, is in a state of instability, which requires work to add feedback and make the system operate in a system Closed loop is the second test case to reach and ensure a stable state for the system. To ensure the scheduled effort, work is being done to improve the system by adding traditional and expert controllers. Thus, by adjusting the parameters of the controller, acceptable performance can be obtained. It represents a transformer with a controller that maximizes results with accuracy and stability. The controller works to track errors through a sensor. It shows the output value with the appropriate reference value for the transformer output, in addition to the presence of a comparator that detects the error to be an input for the controller, which works according to a working algorithm to implement a compensation state, treat the error and instability, get rid of the deviation, and return to the stable state. Various control methods are implemented to improve performance, including traditional PI and expert Fuzzy, with the best being determined by comparing the system output results, as the simulation showed the superiority of fuzzy logic over traditional in terms of response speed time, rise time, and under and over bypass rates.
Internet-based Control of Thermo-optical Plant Improvement based on the PID-GWO System Shneen, Salam Waley; Alkhasraji, Jafaar M. Daif; Sulttan, Mohammed Q.
Journal of Fuzzy Systems and Control Vol. 2 No. 3 (2024): Vol. 2, No. 3, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i3.257

Abstract

Experimental work systems with remote access to the laboratory are an inseparable part of engineering education at universities. Many important factors contribute to enhancing overall performance in terms of stability, reliability, and robustness. These include time responses, time delays, inverse responses, significant nonlinearities, multivariable interactions, and modeling uncertainties. This work examines four scenarios for the thermo-optical plant: open-loop PID, a close-loop system without control, a close-loop with PID controller, and a close-loop with a Proportional-Integral-Derivative (PID) controller combined with Grey Wolf Optimizer (GWO), with the goal of achieving the optimal response for a remote thermo-optical plant. The results indicate that scenario four exhibits a smaller percentage overshoot compared to the other scenarios, thereby ensuring a larger stability margin. It outperforms the other three scenarios and significantly enhances the system. The response speed demonstrates a greater percentage of improvement (74.05%).
Comparative Traditional Methods of Attributes with Fuzzy Quality Control Charts for Improving the Quality of a Product Omran, Salman Hussien; Shneen, Salam Waley; Ali, Moaz H.; Jawad, Qusay A.; Gitaffa, Sabah A.; Salman, Hayder Mahmood
Journal of Fuzzy Systems and Control Vol. 3 No. 1 (2025): Vol. 3, No. 1, 2025
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v3i1.273

Abstract

The problems motivating the study, as a result of sudden changes in production quality levels, which affect the production process. Control charts are a major tool in statistical quality control. The aim of the study is to monitor the production quality of a product that is an engine used in the application of a hair dryer. The methodology followed, the hair dryer model was chosen to verify the possibility of improving the product quality using fuzzy logic and comparing the traditional Shewhart control charts (p-chart) with the fuzzy p-chart in the context of manufacturing, and the collected data were processed using Minitab 21 Statistical Software. The performance of a control chart using fuzzy logic was measured for the proposed industrial product type with specifications for 300 samples of the constant size and a production period of 25 days to identify the product quality. The basic criterion for drawing the chart using fuzzy logic depends on the fuzzy ordering function for each of w, λ and its values are within the limits of (0 < λ or w ≤ 1) is a weighting parameter. The necessary tests were conducted to monitor the product quality using (w = 0.1, 0.2) and (λ = 0.1, 0.2) when the fuzzy ordering function is used. Results, it was found that the fuzzy p-chart was more sensitive to process changes and could detect shifts in defect ratio faster and more accurately, the production process was under statistical control and within quality control limits, and the conventional deviation from nominal control charts showed a false alarm for the observation as out of control. Recommendations, the present method can be used to improve product quality and reduce defects for the motor department.
GWO-PID of Two-phase Hybrid Stepping Motor for Robotic Grinding Force Abdullah, Fatin Nabeel; Aziz, Ghada Adel; Shneen, Salam Waley
Journal of Fuzzy Systems and Control Vol. 1 No. 3 (2023): Vol. 1, No. 3, 2023
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v1i3.91

Abstract

The use of the computer program MATLAB is prominent in many studies that simulate many industrial systems. The current simulation aims to build a suitable simulation model representing the Two-phase Hybrid Stepping Motor (2Ph-HSM). This type of motor is employed in a specific application to produce a force called automatic grinding force. To control the force, motor speed, and location, we need to add control systems, so two methods have been proposed, one of which is traditional, namely proportional, integral, and derivative (PID) control and the other is intelligent, called Gray Wolf Optimization (GWO). The current work also aims to use traditional control algorithms and advanced optimization algorithms that were chosen for their ease of control and possibility of use in many industrial applications. By setting appropriate specifications for the simulation model and after conducting prescribed tests that simulate different applications of the motor’s work within electrical systems, the results demonstrated good motor performance, better response, and high accuracy, in addition to speed. The goal is to design and tune a proportional, integral, and derivative (PID) controller by gray wolf optimization (GWO) using the transfer function (TF) of a 2Ph-HSM. To adjust the parameters of conventional controllers using advanced optimization, a suitable mechanism and technique were selected from advanced optimization techniques, where the gray wolf technique algorithm was chosen as an optimization technique and Integrated Time Absolute Error (ITAE) to adjust the parameters of conventional PID controller.
A Study of Simulation and Modeling of Three-Phase Electric Transformers Shneen, Salam Waley; Oleiwi, Fadhil Mahmood; Dahloos, Jaber. O.
Journal of Fuzzy Systems and Control Vol. 3 No. 2 (2025): Vol. 3, No. 2, 2025
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v3i2.308

Abstract

Under the title “A Survey of Simulation and Modeling of a Three-Phase Electric Transformer,” the present work presents a proposed modeling and simulation process for two types of step-up and step-down transformers. To design and build the model, a suitable transformer specification must be established through mathematical representation. To conduct tests using MATLAB, the proposed tests are conducted for both step-up and step-down cases by varying the number of turns in the primary and secondary windings to a step-up ratio of up to ten times, from 300 V to 3000 V, and step-down to 150 V. Transformer considerations for both step-up and step-down cases include maintaining the number of turns in the primary winding at 100 turns, while for step-up, we use the number of turns in the secondary winding at 1000 turns, to obtain ten times the input voltage at the transformer output. In the second test case, the input voltage is 300 V, and the primary coil has 100 turns. Changing the secondary coil from 1,000 turns to 50 turns halves the transformer's input voltage, resulting in a voltage of 50 V. A set of tests can be tabulated to represent different cases suitable for multiple transformers that can be built for the same prototype, as well as to serve as a reference for future studies.
Co-Authors Abd, Mohammed Kdair Abd, Mohommed Kdair Abdullah, Fatin Nabeel Abdullah, Zainab B Abdullah, Zainab B. Abood, Layla H. Aessa, Suad Ali Al-Abbasi, Mohammed Al-Dabbagh, Zainab Ameer AL-Khafaji, Mohanned M. H. Ali, Ekbal Hussain Ali, Moaz H. Alkhasraji, Jafaar M. Daif Aziz, Ghada Adel Dahloos, Jaber. O. Dakheel, Hashmia S Dakheel, Hashmia S. Dakheel, Hashmia Sharad Eissa, Suad Ali Gaber, Rajaa Khalaf Gitaffa, Sabah A. Hafad, Sanaa A. Hanfesh, Abduljabbar O. Hmood, Abdalkalaq F. Hussin, Shemaa A. Ibrahim, Luay G. Jawad, Qusay A. Jiaad, Suaad Makki Juhi, Hasan H. Kareem, Tamarah Mahdi, Raghad R. Mutlag, Ashraf Abdualateef Nadhim, Rasha F. Najim, Hiba Ali Oleiwi, Fadhil Mahmood Omran, Salman Hussien Oudah, Manal Kadhim Salman, Hayder Mahmood Shuraiji, Ahlam Luaibi Sulttan, Mohammed Q.