Journal of Engineering and Sustainable Development (JEASD)

Recently, great attention has been given to the idea of a smart environment. It often involves the use of reconfigurable intelligent surfaces (RIS) for the management of electromagnetic wave reflections as the world awaits the emergence of 6G. Changeable intelligent surfaces may enhance the creation of wireless communication. The design and analysis of several unit cell reflections are presented in this work. The first design relies on the Switching Technique which involves switching on and off to acquire the phase as well as the coefficient of reflection to accommodate 6G standards. The unit cells design is configured to operate in the millimeter band and X band. In the second design, the radius of the circular patch was changed to adjustment of the phase and reflection coefficient. The use of Floquet technique is employed in investigating the scattering characteristics of a unit cell's constituent elements based on the assumption that every element consists of an extremely iterating periodic structure. To determine the optimal force reflection and the transformation phase, the return loss alongside reflection phase graphs of each resonant component were examined. The simulation results indicate that the first design exhibits a reflection phase shift range of -180 to 90 and a reflection magnitude over 0.93 at a frequency of 11GHz. In contrast, the second design demonstrates a reflection phase shift range of -135 to 135 and a reflection magnitude surpassing 0.9 at a frequency of 28GHz. The analysis and simulation of the design models were carried out using the CST model.

The present study focuses on the technique of hardness removal by using a novel reactor performing an electrocoagulation (EC) process. The variation of alkalinity is also recorded. Continuous flow experiments were conducted for Total Hardness (TH) removal using a transparent plastic reactor using aluminum plate electrodes that have holes so that the water flows through the plates in a zigzag way. The influence of various operating parameters such as the number of plates (two and four), flow rate (600, 1000 L/h), and water type (Tigris River & rejected water from Reverse Osmosis system RO) was investigated. The results showed that an increase in the number of electrodes led to an increase in the total hardness removal efficiency. In addition, the increase in the flow rate led to a decrease in the removal efficiency. For the rejected RO water type, the highest hardness removal rate was 16.16% for 4 plates electrodes and 600 L/h flow rate while for the river water was 29% for 4 plates electrodes and 1000 L/h.

An Eggplant Fruit and Shoot Borer (EFSB) is a disease that affects the entirety of the eggplant fruit if not detected. Hence, a detector was proposed in the form of a handheld gun. It was designed and developed to non-invasively classify eggplant fruits that are non-infested and infested with EFSB. Using an Arduino Nano as its microcontroller and a near-infrared spectroscopy (NIRS) module, insect infestation is determined and displayed through its OLED display. Measured reflectance data through the NIRS module of the detector is then stored inside a MicroSD module for further use. Since the prototype was developed for online monitoring, portability was given of utmost importance, pattering the design in the form of a handheld gun, inside of which was powered by a 9V rechargeable battery. The 3D-printed chassis of the detector houses the aforementioned components and modules, alongside with switches for power and near-infrared detection. Through Support Vector Machine (SVM), the classifier model was trained and developed using Jupyter and was extracted as a C++ code for the Arduino Nano module. Compared with a farmer's traditional performance in terms of accuracy, precision, and speed, the prototype performed better with an accuracy of 84%, precision of 72.83%, and an average speed of 9.736 seconds.

Evaluation of the land use/ land cover (LULC) case over large regions is very important in a variety of domains, including natural resources such as soil, water, etc., and climate change risks and LULC change has emerged as a high anxiety for the environment. Therefore, we tested and compared the performance of three classification algorithms: Support Vector Machines (SVM), Random Trees (RT), and Maximum Likelihood (MaxL) to derive and extract LULC information for the district of Sarayönü/ Konya across five distinct classes: water, plantation, grassland, built-up, and bare land. Two remote sensing indices, the normalized difference vegetation index (NDVI) and the normalized difference water index (NDWI), were used as supplementary inputs for the classification of LULC. To evaluate the performance of the algorithms, a confusion matrix was employed. The average overall accuracy of support vector machines, random trees, and maximum likelihood algorithms was found 85.60%, 79.20%, and 74.80%, respectively, and 82.00%, 74.00%, and 68.50% for the Kappa coefficient. These results indicate that the support vector machines algorithm outperforms other algorithms in terms of accuracy. As a result of the research, it was determined that classification algorithms integrated with remote sensing in LULC change monitoring/determination could produce accurate classification maps that can be used as base data. This is due to the ability of machine learning algorithms to learn complex patterns, adapt to diverse data, and continuously improve, making them achieve higher accuracy compared to traditional classifiers. Therefore, their use was recommended for decision-makers.

Efficiency is a crucial factor when handling the retrieval and storage of data from vast amounts of records in a Big Data repository. These systems require a subset of data that can be accommodated within the combined physical memory of a cluster of servers. It becomes impractical to analyze all of the data if its size exceeds the available memory capacity. Retrieving data from virtual storage, primarily hard disks, is significantly slower compared to accessing data from main memory, resulting in increased access time and diminished performance. To address this, a proposed model aims to enhance performance by identifying the most suitable data locality structure within a big data set and reorganizing the data schema accordingly; by locality, it has been referred to as a particular access pattern. This allows transactions to be executed on data residing in the fastest memory layer, such as cache, main memory, or disk cache

Solar energy is the most focused in the field of renewable energy. It is a clean, green, environmentally friendly energy source. One of the modern technologies utilized by researchers to investigate the wasted heat by the photovoltaic module is the photovoltaic thermal collector, which simultaneously provides thermal and electrical power for various engineering applications. This study presented a new configuration of a water-cooled photovoltaic thermal module that utilizes a copper serpentine tube attached directly using thermal silicon to the poly-crystalline PV module for water circulation. The created PV/T was well-insulated using fiber material, insulation cork, and Wooden parts. The water flow was circulated via a DC pump with low power consumption. The fabricated unit was compared to the standalone photovoltaic module for the performance evaluation. The main result showed a significant enhancement in the electrical productivity of the photovoltaic thermal module compared to the standalone unit. The cell temperature was reduced by 13.3% compared to the standalone photovoltaic module. Accordingly, the water-based PV/T module effectively eliminated the heat dissipated to the surrounding region by the PV module by using a serpentine tube, assuring sustainable contribution.

This study examines the combined impact of pre-test curing and soaking periods on the soil's resistance to collapse those results from treating gypseous sand with varying amounts of nanoclay. The soil comes from the Iraqi city of Najaf. The soil sample is mainly sand. The nanoclay named "Montmorillonite K10" is used, and it is non-toxic. The tests are performed with a computerized Oedometer. The collapse potential is estimated according to a single Oedometer test (SOT), where the specimens are initially dry and then soaked under a stress level of 200 kPa. Four data sets related to the percentages of 0, 3, 6, and 12% nanoclay are used. Each data set comprises three groups of pre-tests for curing duration and different soaking durations. All experiments have a constant initial dry density of 1.64 g/cm3, water moisture of 3%, and gypsum content of 29%. The findings of this study show that the collapse potential (CP) of natural soil specimens decreases as the pre-test curing time increases. Generally, there is a decrease in CP due to adding the nanoclay and 6% of the nanoclay exhibited the highest reduction in CP. Also, there is an increase in the pre-test curing for the nanoclay-treated soil specimens, which leads to an increase in the CP related to the no-curing state.

An intercooler serves as a heat exchanger between the several stages of the working compressor, assisting in the transmission of thermal energy between fluids of varying temperatures. This article is about the experimental analysis of the effectiveness of an intercooler. Multiple variables oversee the performance evaluation under different circumstances. Standard operational values are used to calculate performance evaluation metrics such as total heat transfer coefficient and others. Heat rejection of intercoolers has been enhanced from 61% to 65% by the variation of different fin lengths. Furthermore, the recently added intercooler's isothermal efficiency, which reached an astounding 56.5% significantly, outperformed the earlier unit. This serves to highlight how well the intercooler design was modified. Furthermore, the effectiveness of the Intercooler was assessed considering the circumstances during operation. The intercooler fin is primarily concerned with the performance of the air compressor. This work analyses the many characteristics of fin length, fin number, and fin diameter. When compared to the existing intercooler, this modified intercooler has a high performance

Brushless DC (BLDC) motors and derives have gained popularity because of numerous advantages. This motor application is achievable since permanent magnet (PM) technology has advanced. It has higher efficiency, reliability, and power with less maintenance due to the absence of brushes. A higher torque-to-mass ratio and long life are two of the most attractive characteristics making it appropriate for high-performance applications. This study describes the hybrid methodology for analyzing a three-phase, four-pole, 1500 W, brushless DC (BLDC) motor with an inner rotor. PI controllers and PWM in Matlab /Simulink, and the chopped current control in Maxwell 2d ae used. BLDC motor modeled by rotation machine export (RMxprt) analytical software and analyzed with a finite element method (FEM) Maxwell 2D software to calculate motor performance, such as torque, speed, and efficiency. The FEM results were verified by comparing them with the results taken from the Matlab/Simulink program and with the aid of the RMxprt software to supply some missing data. The motor torque and efficiency results from Maxwell 2D and Matlab show good agreement. A hybrid FEM-analytical approach is successfully applied to study a BLDC motor using three software packages RMxprt, Maxwell 2D, and Matlab/Simulink despite the lack of motor test data. The RMxprt program offers missing data like stator resistance, stator inductance, and torque constant. It is provided in the design sheet to help us with motor modeling. The successful adoption of the proposed hybrid FEM-analytical methodology will provide a good starting point for future BLDC motor research work

One of the most serious problems facing the whole world today is global warming. Their lease of greenhouse gases is exacerbating the effects of global warming. Reduced greenhouse gas emissions and searching for alternative energy sources are becoming increasingly crucial. This study aims to review that one of the effective methods for lowering greenhouse gas emissions is the creation of biogas from agricultural waste using anaerobic digester plants. A lab-scale 5-liter batch fermenter was incubated at room temperature, specifically mesophilic (35°C). Biogas is a clean, reasonably priced, and sustainable energy source produced by the anaerobic fermentation of waste and organic waste. Mixing sludge and waste to react with each other during biogas production is essential. Factors affecting biogas, such as loading rate, retention time, operating ambient temperature, pH, mixing, etc., are also discussed. Asia is a region where the generation of this form of renewable energy is widespread, particularly in nations like China and India. The generation of biogas never has any adverse environmental effects, but it also yields environmentally safe byproducts. Agricultural waste is a large and anthropogenic source of methane in the atmosphere. It can be converted into nutrient-rich fertilizer. Agricultural waste, food waste, animal or human manure, and other organic waste are all converted into energy (in the form of biogas or electricity) using anaerobic digesters. Another advantage of biological fermentation is that it leaves behind a high-quality organic fertilizer

This paper proposes a DC-DC step-up converter with a high voltage gain for solar and fuel cell systems. This converter combines a Zeta converter with one basic cell of the coated circuit and a Quadratic-Boost converter by a high-frequency transformer. The outputs of these two converters are connected in a series to boost the output voltage of the combined DC-DC converter. The proposed converter not only can achieve higher voltage gain but also acquire lower voltage stress on the semiconductor devices. Therefore, the devices with lower conduction resistances. Moreover, the circuit is made so that the outputs of each part of the converter keep the same properties as those of the converter that came before the combination, ensuring that each converter's known benefits are maintained. The proposed topology has one switch, which keeps the number of components low. The simulation of 240-watt, input voltage 30-volt, and 100kHz using the PLECS program is obtained to confirm the theoretical analysis of the proposed converter.

Multiple-input multiple-output (MIMO) technologies use multiple antennas at the sender and the receiver to get the high data rate that the next-generation communication system needs. This paper compares MIMO systems using the Quadrature Phase Shift Keying (QPSK) modulation scheme for two-channel distributions of Rayleigh and Weibull types. The performance of the work is far with the Minimum Mean Square Equalizer (MMSE) in terms of Bit Error Rate (BER) for various antenna number situations on the transmitter and receiver sides. The MIMO module is carried out using MATLAB code. The channel noise will be a signal of random noise that is generated. To mitigate the impact of inter-channel interference, the MMSE approach employs inverse filtering at the receiver, and BER will be calculated. According to simulation results, the system's performance is primarily influenced by the number of antennas; it decreased as the number of antennas increased, and the BER of the Weibull channel decreased as the two-parameter value increased

The number of shopping malls and vehicles in Baghdad has quickly increased along with the city's population. This has resulted in an increase in daily trips, which affects the roadway network's traffic flow and causes congestion, particularly on Al-Mansour Street and Al-Rowad Street near the city center. To determine the best signal time, the 14th Ramadan signalized intersection was evaluated and analyzed using the SIDRA 8.0 and SYNCHRO 11.0 software. First, the findings revealed that the chosen traffic facility is presently experiencing a substantial reduction in service level that is leading to forced conditions (LOS "F"). It is suggested that the cycle time at the intersection of the 14th Ramadan be changed from 240 seconds to 160 seconds and 125 seconds in SIDRA and SYNCHRO, respectively. Signal timings have reduced the delay for the 14th Ramadan intersection (76.8%), thus improving LOS from (F) to (D) for the intersection. The best delays after optimization in SYNCHRO 11.0, however, were 31% reduction with LOS of (E and D). Cycle times have also been lowered for the intersection to 25% as part of the optimum signal timing optimization. In SYNCHRO 11.0, which is better than SIDRA 8.0, the back of the queue has improved at the 14th Ramadan intersection by 33%. However, SYNCHRO has a better representation than SIDRA for current traffic saturation

The main goal of the technology is the minimizing of the huge consumption of energy specifically that arises because of burning clay bricks inside furnaces. An overall review of the available literature to determine the present knowledge and thinking level in unfired/fired clay bricks, and to establish an appropriate research context. Sustainable development has become the conversation of the age, and on this basis, searching for environmentally friendly materials has become a major element in this dialog. In this research, materials were prepared and ground to be downy with cement-like properties, and cement was the binding material in all mixtures. The results gained from the scrutiny showed that toting the reused material increases the compressive strength, with the highest compressive strength (33.8 MPa and the lowest being 1.9 MPa). Or shrink the difference in the impact factor and then conserve the environment from these materials and harness them for reuse in environmental resources.