International Journal of Engineering and Manufacturing @ijem
Статьи журнала - International Journal of Engineering and Manufacturing
Все статьи: 571
Design and implementation of a DDR2 SDRAM controller for audio data on a reconfigurable platform
Статья научная
Multimedia applications play a very important role in the field of VLSI design and embedded systems. They need a large amount of memory storage with higher bandwidth and higher speed. To overcome this hazard, a memory controller is required. A memory controller is a device that stores the data and gives it back whenever required. Real-time recording of an audio data and finally storing it without losing the data is a difficult task. This paper describes the usage of Double Data Rate Synchronous Dynamic Random Access memory controller for storing the audio data. The design uses finite state machine (FSM) architecture that is developed for testing of this algorithm. Audio codec device is used for the conversion of analog data into digital and vice versa. The tool used to simulate this design is Xilinx ISE design suite. The hardware used to synthesize this design is FPGA Spartan-3 kit.
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Design and implementation of control Unit-ALU of 32 bit asynchronous microprocessor based on FPGA
Статья научная
In today’s fast growing world, the digital design domain has two dominant role factors i.e. the efficiency and speed. The design of asynchronous processor is used to reduce the various challenges faced in synchronous architectures. There are numerous advantages of asynchronous processors, especially in SOC (System on the chip), reducing the crosstalk between analog and digital circuits, easiness in multi-rate circuit integration, reusability of ease of component and at last the less power consumption. The objective of this research paper is to design and simulate control unit of the asynchronous processor by using Xilinx ISE tool in VHDL. A robust control unit has been designed using FPGA. This control unit is responsible for accumulating the whole processor functioning control at a single unit. This paper further presents the optimization techniques for reducing area power and delay constraints related to digital circuits using FPGA.
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Design and implementation of solar tracker to defeat energy crisis in Pakistan
Статья научная
Proposed Solar tracker minimizing the angle of incidence and solar panel position towards the sun to achieve the maximum solar irradiation and strength so that it can produced the maximum output (electricity).
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Design and implementation of urban search and rescue robot
Статья научная
Disasters unsettle the economic and social stability of society. Shortage of skilled rescue workforces, as well as the risks involved in search and rescue operations, are becoming foremost problems during an emergency situation. To solve these problems, we have designed and implemented an Urban Search and Rescue (USAR) robot. The robot is designed and implemented in such a way that includes the application of digital electronics, embedded programming, digital signal processing and digital sensors. This USAR robot uses the microcontroller PIC 16F690 to control its movement by using a radio frequency module and PIC 16F73 to collect the sensor’s data and transmit the data through Bluetooth module. These are low power and cost-effective chips. The PIR sensor, Co2 gas sensor, and temperature sensor will collect the data of the disaster area and transmit the data to the service station. Even though, a camera is operated for visual purpose. In this paper not only we have designed and implemented USAR robot but also we tested and analyzed the result.
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Design of Horizontal and Vertical Alignment for the Centerline of a Federal Highway
Статья научная
Highway engineering standards are constantly improving. In this study, a design has been done for a horizontal and vertical alignment for the centerline of a federal highway. The construction cost and pavement design have been done according to the Malaysian public works department for the federal roads system (JKR). The results indicate that the designed highway has an adequate, accurate, and economical system based on the proposed data. Accordingly, the objective has been achieved since the reliability of the designed highway was 94%.
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Design of Low Power Current Mode Square-Root Circuit
Статья научная
Analog circuits have been viewed as a voltage dominated type of signal processing. With the advent of CMOS technology, shrinking feature size, and reduction of supply voltage a new class of circuits developed: current-mode circuits. Among current-mode circuits "Translinear circuits" is one of the important and emerging research interests for low power analog designers. It is the practical means of implementing nonlinear signal processing functions. The performance of analog circuits strongly depends upon techniques used to exploit the characteristics of the transistors. In this paper, using exponential current-voltage relationship of MOS transistor when biased in subthreshold-mode, a square-root circuit is proposed. The circuit simulations were carried on TSMC 0.18 micrometer technology using ELDO Simulator.
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Design of Low Voltage and High-Speed BiCMOS Buffer for Driving Large Load Capacitor
Статья научная
BICMOS circuits are interesting for designers when a high speed output driver is required especially in I/O circuits. Buffer is an important block in high speed circuits, so designing a buffer with high drive capability has a great effect on circuits with large load capacitor. This paper presents a new BiCMOS buffer which uses 32nm technology node for CMOS transistors and 0.18um technology node for BJT transistors. The proposed buffer operates properly in voltage ranges from 0.8v to 1.5v. The capacitor range is from 0.5pf to 200pf; the overshoot of the output in this capacitor range is less than 10% of the supply voltage that is negligible. The proposed design has improvements in delay for about %88 respectively compared to similar CMOS buffers with high capacitor values.
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Design of Rectangular Microstrip Patch Antenna at 3.3 GHz Frequency for S-band Applications
Статья научная
Low-profile antennas are required for aircraft, satellites, radar, and a variety of other vehicles due to aerodynamic considerations. The "patch" or microstrip antenna is a narrow band antenna with a low profile and low gain. Patch antennas are becoming more popular as a result of their ability to be printed on a circuit board. Microstrip antennas can be rectangular, circular, elliptical, or any other regular form, but the most common configurations are rectangular and circular. This research constructed a rectangular patch antenna that operates in the 3.3 GHz (S-band) operating frequency based on a description of microstrip antenna working principles. Agilent ADS Momentum software is used to create and simulate the antenna model. Finally, by optimizing and matching to meets, the best performance parameters such as Gain, Directivity, Efficiency, Power Intensity, Radiated power, and Return loss are obtained.
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Design of Wind Power Generator’s Vane Which Based on Computer
Статья научная
In this paper, we have mainly analyzed the relationship between virtual prototype and concurrent design. Then we have concluded the model of virtual prototype and simulation method which based on field object. We also have studied the design of wind power generator’s vane which based on computer, and have simulated the process of vanes’ aerodynamics.
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Design of a 165-178 GHz 4-way Power Combined Amplifier with output Power Greater than 18.8 dBm
Статья научная
The Terahertz (THz) spectrum is the next frontier for efficient imaging applications and high-bandwidth wireless communication. A high-powered signal is imperative for the improvement of image resolution. The SiGe HBTs (heterojunction bipolar transistors) low output power level is one of the fundamental difficulties in the development of systems at high frequency and hence the importance of amplification at THz frequency range. This research is about designing, modeling, and simulating a 3-stage, 4-way power combined solid state PA (SSPA). The 3-stage design performance was optimized using a transmission line whose values were chosen optimally to ensure low loss. A single unit of the SSPA contains three stages and by using a splitter and combiner, 4 units of the SSPA were combined to give the desired output power. Simulations were performed using ADS Keysight and a gain of 30dB, saturation power out of 18.847dBm, and PAE (PAE) of 5.7% was achieved. This is a 28.8% increase in gain, an 11.36% increase in PAE, and a 3.3 % increase in saturation power compared to state-of-the-art results.
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Design of a Radiation Hardened Register File for Highly Reliable Microprocessors
Статья научная
In this paper, a powerful bit upset masking (PBUM) technique for design of a high reliable register file is proposed. This technique is based on the triple modular redundancy (TMR) technique with the key capability of double faulty bit masking in every triad of bits while the TMR structure, only masks one fault in a triad. We implemented a 64-bit register file comprised of 64 registers protected with the proposed PBUM technique on FPGA. Our simulation results reveal that, over the TMR and some Hamming code-based techniques, our design offers a very higher robustness against radiation induced soft errors. Also, the proposed PBUM technique imposes a lower delay than its counterparts at the expense of a little higher area overhead. To reduce the area overhead, an area-efficient strategy is suggested that balances the reliability improvement and the area overhead. We show that, our technique using this area-aware strategy still has the highest reliability among the other considered techniques.
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Design of an Optimal Linear Quadratic Regulator (LQR) Controller for the Ball-On-Sphere System
Статья научная
Linear Quadratic Regulator (LQR) is one of the optimal control methods that continue to gain popularity. This paper designed an optimal LQR controller to control the system of the ball-on-sphere. System equations were derived and due to the nonlinearity of the system, the equations were linearized. After that, the coefficient matrices of the system dynamics were derived. Given some initial conditions, the response was simulated and controlled close to the desired values. An improvement of about 87% was achieved and the performance of the controller was observed to be good based on the simulation results. The results showed that LQR controller is one of the best optimal control methods because of its high performance improvement.
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Design of the Wing of a Medium Altitude Long Endurance UAV
Статья научная
Over time, the need to extend the endurance of fixed-wing UAVs has been a challenge and requirement for the aviation industry. As a result, there are many ongoing researches on how to address this challenge while developing new concepts for an aircraft wing. This paper presents the methodology applied in the design of the wing of a lightweight unmanned aerial vehicle (UAV) that is intended for intelligence and surveillance (ISR) missions. A conceptual design was developed with the aircraft having a hybrid wing for the purpose of improving its structural design. The wing has two spars and thirteen ribs a side with an all-composite structure. Initial calculations were performed theoretically, thereafter, analyzed using the finite element analysis tool.
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Detection and classification of tumour in brain MRI
Статья научная
Brain Tumour is an abnormal cell formation inside the brain. They are mainly classified as benign and malignant tumours. Magnetic Resonance Imaging (MRI) is used for effective diagnosis of brain tumour. An automated method for detection and classification of brain tumour is preferred as analysis of MRI manually is a difficult task for medical experts. The proposed method uses Adaptive Regularized Kernel based Fuzzy C-Means Clustering (ARKFCM) for segmentation. A combination of Support Vector Machine (SVM) and Artificial Neural Network (ANN) is proposed for detection and classification of brain tumour based on the extracted features. A dataset of 94 images is considered for validation of the proposed method which resulted in an accuracy of 91.4%, Sensitivity of 98%, Specificity of 78% and Bit Error Rate (BER) of 0.12. Comparison of the proposed method is carried out with other conventional methods and the results are tabulated.
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Development and Evaluation of BOD–DO Model for River Ghataprabha near Mudhol (India), using QUAL2K
Статья научная
The present study involves the application of a water quality model QUAL2K for developing the BOD-DO model and evaluation of the results for a 50 km stretch of river Ghataprabha near Mudhol town of Bagalkot district, Karnataka. QUAL2K is a modeling framework for simulating river and stream water quality. Arc-GIS technique is used to obtain some hydro-geometric data of the river for input to model QUAL2K. For calibration and validation of the model, the BOD and DO values were monitored at six different locations. The calibrated model was validated to predict water quality using a different set of data under different conditions. The performance of the model was evaluated using statistics based on Standard errors (SE), Normalized Mean Errors (NME) and Mean Multiplicative errors (MME). The SE and MME values for BOD and DO during calibration are, 1.41 (1.12) and1.28 (0.90), respectively. The values in the bracket show MME. Corresponding values for the validation are 1.27 (1.09) and 1.10 (0.96). These results show that the values predicted by the model are in close agreement with measured values.
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Статья научная
This study presents the development and validation of a mobile-to-cloud road surface condition monitoring system using citizen-sourced smartphone sensor data in the Philippines. The proposed framework integrates mobile data acquisition, local preprocessing, secure cloud transmission, supervised classification, and geospatial visualization within a unified architecture. Tri-axial accelerometer and gyroscope signals were collected at 50 Hz, segmented into overlapping windows, and transformed into statistical feature vectors prior to cloud-based inference. Field deployment was conducted across 48 urban and peri-urban road segments, generating 12,485 processed feature windows. A labeled subset of 4,200 windows was used for supervised evaluation. The classification model achieved an overall accuracy of 88.4%, with balanced precision and recall across smooth, moderate, and severe surface condition categories. Confusion matrix analysis showed that misclassifications were primarily concentrated between adjacent condition levels rather than between extreme classes. System-level evaluation demonstrated near-real-time responsiveness, with an average end-to-end latency of 1.8 seconds under stable network conditions. Offline buffering achieved 100% synchronization success following connectivity restoration, ensuring data integrity in environments with intermittent network coverage. The results indicate that smartphone-based vibration sensing, when integrated with cloud analytics and geospatial visualization, provides a scalable and cost-efficient approach for preliminary road surface monitoring. The proposed framework offers a practical complement to conventional inspection methods and supports data-driven infrastructure prioritization in developing urban contexts.
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Статья научная
The aim of the paper is the development of a design catalog and sustainability analyses of road layers. In this paper, the material and thickness of the layers for three different traffic load classes will be determined based on the pavement design of the Hungarian and Pakistani standards. This was achieved using the Hungarian design method and the AASHTO method adopted by the National Highway Authority in Pakistan. "This will enable engineers in the field to choose pre-established designs from the catalog.". The forefront of pavement design is the direction in which ongoing research endeavors in the field are guiding us. The empirical design, as outlined in the AASHTO 1993 version, relies on statistical models derived from road tests. Moving beyond this, the mechanistic-empirical design involves assessing stresses and strains alongside empirical models, such as the MEPDG approach. Looking ahead, a mechanistic design encompasses models based on mechanics and represents the frontier where researchers are advancing the future of pavement design. The Hungarian pavement design method (eÚT 2-1.202:2005, 2005) primarily relies on mechanistic-empirical pavement design principles. However, it limits practicing engineers to choosing predefined designs from the catalog. The Comparison was carried out between Hungarian and Pakistani pavement designs. Subsequently, comparative calculations between GRT and SBS will be made for CO2 emissions and other sustainability parameters. To achieve this aim, the Pavement LCA tool by the US Department of Transportation Federal Highway Administration was employed.
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Development of a 120kg Load Lifting Capacity Scissor Elevator Platform
Статья научная
This work focused on the development of a 120kg load lifting capacity scissor elevator platform (SEP) with a horizontally positioned rack and pinion gear actuating mechanism which is driven by a DC motor. The time of lift to an elevated height of 0.9m is 30s. Simulation of a typical SEP structure in the 3D workspace of a Computer Aided Design (CAD) software package was carried out to investigate the balance of the SEP structure, the stresses experienced, the efficiency, and safety of operations. A prototype was also fabricated for the physical demonstration of SEP. The SEP can be used for a range of engineering applications such as making an adjustable workbench for workshop use, solving the problem of table adjustment for height-challenged personnel, or used as a load-transferring device if mobile to transfer loads between two or more elevated locations during construction or maintenance work. Calculated results give the platform weight as 136.693N, the scissor arms weight as 188.205N, the total structure weight as 1502.098N, the stress in the scissor arm at maximum platform elevation as 1.702MPa, the stress in the scissor arm at minimum platform elevation as 4.928MPa, the maximum actuation force as 4126.980N, and the power required to drive the mechanism as 26.963W. Autodesk Inventor Pro simulation results show that a wide range of data can be sourced when one considers the real-time behavior of SEP. The results also indicated the values of the reaction forces, reaction moments, stresses, strains, and displacements developed at every joint, link, hinged support, and every other point in a 3D workspace.
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Development of a Brain Tumour Detection and Classification Model with Web Application Capability
Статья научная
In the evolving landscape of medical imaging, this study introduces a deep learning-based approach for brain tumour detection and classification. In this study, a U-Net architecture was developed for tumour detection and segmentation while an EfficientNet-based model was used for classification. Dataset consisting of MRI scans which has complex brain tumour pattern types was used to train the model. The performance of the developed model was evaluated using Dice coefficient, IoU score, sensitivity, and specificity for detection, and accuracy, precision, recall, and F1-score for classification, which demonstrates the system's effectiveness. The detection model achieves a Dice coefficient of 0.9321 and an IoU score of 0.8729, while the classification model attains an overall accuracy of 0.965, which surpasses the benchmark methods. Additionally, a user-friendly web interface was developed to enhance the system's practicality for clinical use. The results obtained show that the developed interface enables real-time tumour analysis. The proposed system not only improves the accuracy and efficiency of brain tumour analysis but also provides a seamless tool for medical professionals, which will enhance diagnostic workflows and patient outcomes.
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Development of a Deep Learning Model for Detecting DOS Attacks in Computer Networks
Статья научная
This study investigates the application of deep learning techniques for the detection of Denial of Service (DoS) attacks in network traffic using the NSL-KDD dataset. A Deep Neural Network (DNN) model is proposed and optimized for intrusion detection. The model consists of a 41-feature input layer, two fully connected hidden layers containing 128 and 64 neurons respectively and a SoftMax activated output layer for multiclass classification. The hidden layer used ReLU activation function and the model was optimized using Adam optimizer. The dataset was preprocessed using feature encoding, normalization and label transformation. The dataset was used with its standard predefined split: KDDTrain+ for training/validation and KDDTest+ for testing. The training data was further divided into 80% for training and 20% for validation. The effectiveness of the DNN was compared against traditional machine learning models, including Logistic Regression, LightGBM (LGBM), and CatBoost. Key evaluation metrics such as accuracy, precision, recall, and F1-score are used to assess the effectiveness of each model in detecting network intrusions. The results demonstrate that the DNN model achieves an accuracy of 86% on the test dataset, consistently outperforming the traditional models across all key metrics. These findings highlight the advantages of deep learning for anomaly-based intrusion detection, particularly in handling complex network traffic patterns. This study contributes to advancing network security by leveraging the capabilities of DNNs for real-time DoS detection, scalability, and practical implementation in modern cybersecurity frameworks.
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