Simulation and Analysis of Higher Frequency (F-Band) Automotive MIMO Radars with Military Applications
Design of Power Efficient Dynamic Controlled Comparator with Reduced Kickback Noise
EcoFuse Inverter with Battery Monitoring System
Enhanced Medical Image Fusion using Cross-Guided Filtering and Edge-Preserving Techniques for Improved Clinical Diagnosis
Vehicle-to-Vehicle Communication using Li-Fi Technology
Design and Validation of Low Power, High Performance Parallel Prefix Adders
Design and Analysis of High Gain Multiband Array Antenna for Wireless Communication Applications
The Impact of Substrate Doping Concentration on Electrical Characteristics of 45nm Nmos Device
Method of 2.5 V RGMII Interface I/O Duty Cycle and Delay Skew Enhancement
A Study on Globally Asynchronous and locally Synchronous System
Performance Analysis of Modified Source Junctionless Fully Depleted Silicon-on-Insulator MOSFET
Automatic Accident Detection and Tracking of Vehicles by Using MEMS
Efficient Image Compression Algorithms Using Evolved Wavelets
Computer Modeling and Simulation of Ultrasonic Signal Processing and Measurements
Effect of Nano-Coatings on Waste-to-Energy (WTE) plant : A Review
ANFIS Controlled Solar Pumping System
Simulation and Analysis of Higher Frequency (F-Band) Automotive MIMO Radars with Military Applications
The Automotive Multiple Input Multiple Output MIMO Radar technology employs multiple transmitting and receiving antennas to significantly enhance radar performance, offering superior resolution and precise target detection capabilities. The need for this study arises from the increasing demand for precise, reliable radar systems in complex and cluttered military environments. The study aims to improve resolution, enhance target discrimination, and optimize radar performance under adverse conditions. Models utilized in this study include MIMO techniques, rain rate models, fog visibility models, and both frequency band F-band and wave band W-band radars. The proposed methodology encompasses designing and simulating antenna arrays, developing suitable waveforms, implementing advanced signal processing algorithms, and comparing performance metrics of different radar systems. Key steps involve antenna array configuration, radiation pattern analysis, beamforming, and performance testing in simulated scenarios. Results indicate that higher frequency radars offer improved data capacity, better range resolution, and higher jamming resistance compared to lower frequency systems. However, these higher-frequency radars also experience greater attenuation due to environmental factors like rain and fog. The proposed model significantly contributes to the comparison and selection of MIMO Radar systems for military applications, ensuring enhanced situational awareness, target acquisition, and operational effectiveness in demanding environments.
This paper introduces a novel dynamic comparator design optimized for SAR ADCs, focusing on key advancements in energy efficiency, kickback noise reduction, and speed improvement. The proposed design replaces PMOS transistors with NMOS in the clock path and eliminates the inverter circuit, resulting in substantial reductions in both static and transient power consumption. Through simulations in Cadence Virtuoso (45nm), the design demonstrates significant improvements in transient power, static power, and kickback noise compared to traditional designs. These contributions make the proposed comparator particularly well-suited for energy-efficient, precision-critical applications such as IoT devices, wearables, and biomedical systems. This work marks a significant step toward developing more efficient ADCs for next-generation technologies.
The EcoFuse Inverter with Battery Charging and Monitoring System is an innovative solution aimed at sustainable energy utilization and efficient power management. This initiative integrates an advanced inverter system with a smart battery charging mechanism and real-time monitoring capabilities. Leveraging the Internet of Things (IoT) technology, the system enables seamless monitoring and display of battery power levels, ensuring optimal energy usage and enhanced user convenience. The IoT framework facilitates remote access, providing users with insights into battery performance and system status through a user-friendly interface. Additionally, the battery charging and monitoring system incorporates energy-efficient practices to promote environmental sustainability, making it ideal for residential and renewable energy applications. This paper discusses the design methodology, system architecture, and the potential impact of this technology in addressing energy management challenges in the modern world reducing maintenance costs and enhancing longevity.
Medical image fusion utilizes diverse diagnostic information found between multiple medical images to produce one improved display for better clinical procedures and diagnostic accuracy. The research develops an effective framework for multimodal medical images fusion by utilizing Cross Bilateral Filtering (CBF) and Edge-Preserving Processing applied to CT, MRI, PET and SPECT data types. The proposed method adopts CBF to maintain edge integrity while it removes noise and reveals fine image details. An enhancement of significant image features occurs through edge-preserving processing by dividing low-pass content from residual elements. A gradient-based integration process combines processed images through a method that strengthens details found in places where gradient magnitudes reach higher levels. The assessments of consolidated images used Normalized Cross-Correlation (NCC) together with Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Entropy as evaluation metrics. Experimental evaluations confirm the proposed technique successfully maintains diagnostic vital information while improving visual clarity, which indicates its reliability for medical practice.
This study focuses on wireless communication for data transmission between vehicles. Wireless communication has become an essential part of modern life, playing a fundamental role in various applications. Different types of wireless communication networks are used in Vehicle-to-Vehicle (V2V) communication, including Radio Frequency (RF), Wi-Fi, and others. However, these technologies have certain limitations. For instance, RF-based communication has slower data transmission, which can delay vehicle responses and potentially lead to accidents. Wi-Fi offers faster transmission, but low signal strength can cause inaccurate data transfer, again posing safety risks. To address these challenges, Li-Fi technology is proposed. Li-Fi is an advanced wireless communication method that provides higher transmission speeds compared to Wi-Fi and RF. In this approach, Li-Fi is used for vehicle communication to help reduce road and fire accidents. The system includes sensors such as a gas sensor, fire sensor, alcohol sensor, and pressure sensor, along with an LCD display, Li-Fi transmitter, and an LDR as the receiver. Data is transmitted using LEDs. By integrating this technology into vehicles, safety can be significantly enhanced, reducing the likelihood of accidents. Beyond automotive applications, Li-Fi can also be utilized in smart homes, healthcare systems, industrial automation, and intelligent transport systems.
In the realm of designing digital systems through Very Large Scale Integration (VLSI), the digital adder takes center stage. However, low-power VLSI adder designs grapple with the Propagation Delay issue, leading to increased latency. This paper explores the viability of Parallel Prefix Adders (PPA) in addressing these challenges for low-power VLSI designs, emphasizing minimal propagation latency. The paper delves into the design and analysis of select PPA models, comparing their performance in terms of area, delay, and power. Utilizing Xilinx Vivado 2019.1, this study evaluates four prominent adders Kogge Stone Adder (KSA), Han Carlson Adder (HCA), Brent Kung Adder (BKA) and Ladner Fischer Adder (LFA) based on key features such as slice count, performance, and power consumption.
This paper presents an eight-element multiband planar antenna array designed for operation in the 3–25 GHz frequency band, as permitted by The European Commission, 2014. The antenna features elliptical-shaped radiators and a stripline excitation network, ensuring uniform power distribution. The novel array technique effectively addresses the impedance matching challenges in ultra wideband antenna designs. By optimizing the feeding network and incorporating DGS, the design enhances the coupling between the feed and the radiating element, leading to improved gain and a broader bandwidth while maintaining compactness and favorable radiation patterns. The simulation results are in good agreement, indicating that the proposed design is robust and promising for multiband applications.
