Map Matching Algorithm: Curve Simplification for Frechet Distance Computing & Precise Navigation Using RTKLIB
This study presents a map matching approach that combines curve simplification with Frechet distance computation to achieve highly accurate navigation results using RTKLIB. By comparing the vehicle’s trajectory with road network geometry, the algorithm identifies the most suitable path even in challenging urban conditions. RTKLIB integration offers enhanced GNSS precision, reducing positional errors and improving […]
Machine Learning–Based Biomedical Image Processing for Echocardiographic Images
This research applies machine learning methods to enhance the quality and clinical usefulness of echocardiographic images. By leveraging algorithms for noise reduction, segmentation, and structural feature enhancement, the system produces clearer and more accurate heart images for diagnostic evaluation. The study demonstrates how machine learning can help clinicians identify cardiac abnormalities more efficiently, improving diagnostic […]
Correction to LTE-NBP with UWB-WBAN for Biomedical Applications
This study presents corrections to the LTE-NBP model integrated with UWB-based Wireless Body Area Networks for advanced biomedical monitoring. The revised approach improves communication reliability, signal stability, and data accuracy between body-worn sensors and medical monitoring systems. By optimizing the interaction between UWB and LTE-NBP technologies, the corrected model reduces transmission errors and enhances patient […]
Statistical Impact Analysis of Congestion Control Algorithm in MANET
This study examines the statistical impact of congestion control algorithms within Mobile Ad-Hoc Networks (MANETs). By analyzing key performance metrics such as throughput, latency, packet loss, and network stability, the research evaluates how different algorithms respond under varying traffic loads. The findings highlight how congestion control strategies influence overall network efficiency and communication reliability. This […]
Stub Signature-Based Efficient Public Data Auditing System Using Dynamic Procedures in Cloud Computing
This research presents a stub signature–based system designed to improve the security and efficiency of public data auditing in cloud environments. By using lightweight, dynamically generated signatures, the framework enables third-party auditors to verify data integrity without accessing or exposing the original data. The approach reduces computation overhead, enhances privacy preservation, and ensures transparent and […]
Multiple Pattern Synthesis of Circular Antenna Arrays for Achieving Lower Side Lobe Level and Higher Directivity Using Hybrid Optimization Algorithm
This study focuses on synthesizing multiple radiation patterns in circular antenna arrays using a hybrid optimization algorithm. The approach improves antenna performance by reducing side lobe levels and enhancing main lobe directivity. By combining advanced optimization methods, the system achieves precise control over radiation characteristics, making it suitable for high-efficiency communication and radar applications. The […]
Real-Time Location Tracking Map Matching Approaches
This study examines real-time map matching approaches designed to enhance the precision of location tracking systems. By processing GPS signals and comparing them with digital road network information, these methods correct positioning errors and produce more reliable navigation output. The research highlights algorithmic strategies that improve accuracy under challenging conditions such as urban canyons or […]
Novel Map Matching Algorithm – Real-Time Location Tracking
This research introduces a novel map matching algorithm designed for real-time location tracking in navigation systems. By continuously refining GPS data and aligning it with road network structures, the method significantly reduces positional errors and improves route accuracy. The algorithm adapts to dynamic environments, providing faster and more reliable updates. Its strong performance supports intelligent […]
Map Matching for Smart Security Applications
This study explores how map-matching algorithms can be applied in smart security systems to improve tracking accuracy and real-time situational awareness. By refining raw location data and aligning it with road and infrastructure layouts, the technique enhances the detection of suspicious movement patterns and supports automated monitoring. The research demonstrates how accurate spatial mapping strengthens […]
Map Matching Algorithm for Navigation on Road Networks (Cluster Computing)
This study focuses on improving navigation accuracy through an efficient map matching algorithm that aligns raw GPS data with the correct road segments in real-time. By analyzing road geometry, direction, and vehicle movement patterns, the algorithm reduces positional errors and enhances route precision. Its implementation in cluster computing environments enables faster processing of large-scale location […]