Volume 2, Issue 3 (In Progress)


In Progress
Citations: Crossref logo 5,   5   |   Viewed: 4908, Download: 864

Table of Contents

Open Access | Research Article | 12 May 2026 | Cited: Crossref logo  1 , Scopus 1
Reliable Data Exchange in UAV Swarm Networks Using Advanced Networking Techniques
ICCK Transactions on Advanced Computing and Systems | Volume 2, Issue 3: 212-224, 2026 | DOI: 10.62762/TACS.2025.747408
Abstract
The proliferation of unmanned aerial vehicles (UAVs) has driven the emergence of Flying Ad-hoc Networks (FANETs) as distributed cyber-physical computing systems for surveillance, disaster management, precision agriculture, and logistics. Optimizing computational and communication resource utilization within these constrained aerial systems is essential to extend network lifespan and maintain satisfactory quality of service (QoS). This study proposes integrating the Fisheye State Routing (FSR) protocol with a 3$\times$3 Manhattan Grid mobility model as a computing-systems solution for reliable data exchange in dynamic UAV swarm networks. FSR maintains distributed topology tables and applies... More >

Graphical Abstract
Reliable Data Exchange in UAV Swarm Networks Using Advanced Networking Techniques
Open Access | Research Article | 22 April 2026 | Cited: Crossref logo  1 , Scopus 1
An Integrated Demand Forecasting and Location Optimization Framework for Electric Vehicle Charging Stations: A Case Study of District 1, Ho Chi Minh City
ICCK Transactions on Advanced Computing and Systems | Volume 2, Issue 3: 173-211, 2026 | DOI: 10.62762/TACS.2026.319834
Abstract
Vietnam's Electric Vehicle (EV) market is expanding rapidly, yet public charging infrastructure development lags significantly, exhibiting pronounced spatial imbalance in dense urban cores. This study addresses this gap through an integrated demand forecasting and location optimization framework for District 1, Ho Chi Minh City. We develop a log-linear regression model using Vietnam's macroeconomic data (2003–2023), identifying GDP and CPI as dominant determinants of vehicle ownership (R$^2$ = 0.962). Forecasted vehicle stocks for 2026–2030 are translated into public charging demand through vehicle-type disaggregation and service-capacity modeling. Spatially, we propose a four-stage opti... More >

Graphical Abstract
An Integrated Demand Forecasting and Location Optimization Framework for Electric Vehicle Charging Stations: A Case Study of District 1, Ho Chi Minh City
Open Access | Research Article | 05 April 2026 | Cited: Crossref logo  3 , Scopus 3
Optimized Design of LCL Filters for Single-Phase Grid-Connected Inverter Systems using Advanced Optimization Techniques
ICCK Transactions on Advanced Computing and Systems | Volume 2, Issue 3: 158-172, 2026 | DOI: 10.62762/TACS.2025.424683
Abstract
AI-driven metaheuristic optimization algorithms have demonstrated strong potential in solving complex, high-dimensional engineering design problems. This paper applies and systematically compares three representative swarm-intelligence and evolutionary computation methods—particle swarm optimization (PSO), whale optimization algorithm (WOA), and grey wolf optimizer (GWO)—to the parameter design of LCL filters in single-phase grid-tied inverter systems, a class of problems characterized by nonlinear constraints and competing performance objectives. A structured optimization framework is developed, incorporating an objective function targeting total harmonic distortion (THD) minimization a... More >

Graphical Abstract
Optimized Design of LCL Filters for Single-Phase Grid-Connected Inverter Systems using Advanced Optimization Techniques