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Journal of ICT Research and Applications
Published by Institut Teknologi Bandung
ISSN : 23375787     EISSN : 23385499     DOI : https://doi.org/10.5614/itbj.ict.res.appl.
Core Subject : Science,
Computer Science & IT
Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 313 Documents
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Intelligent Approaches to Managing Communication Channels in Hybrid Terrestrial-Satellite Networks with LEO Segment Dilmurod Davronbekov; Yuriy Pisetskiy; Alisher Khayrullaev; Khasan Khamidov; Sherzod Pulatov; Jamshid Isroilov; Kirill Votinov
Journal of ICT Research and Applications Vol. 20 No. 1 (2026)
Publisher : DRPM - ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2026.20.1.1

Abstract

The integration of terrestrial 5G/6G networks with Low Earth Orbit (LEO) satellite systems is creating a class of hybrid Satellite–Terrestrial Integrated Networks/Non-Terrestrial Networks (STIN/NTN) for which channel management in the face of highly dynamic topologies and traffic heterogeneity is becoming a key challenge. This paper examines intelligent approaches to radio resource allocation in such networks based on deep reinforcement learning (DRL) and multi-agent algorithms. A conceptual architecture for a channel management system in a hybrid network with a LEO segment is proposed, including a centralized Software-Defined Networking/Artificial Intelligence (SDN/AI) coordinator and distributed DRL agents at the satellite and ground base station levels. To analytically interpret the gains from intelligent management, an aggregated M/M/c/c teletraffic model is introduced, using the concept of an “equivalent number of channels,” which allows for linking DRL resource allocation with classical assessments of blocking probability and throughput. The obtained numerical results show that increasing the effective system capacity by 20% due to intelligent inter-segment load redistribution leads to a 30–40% reduction in blocking and a 10–18% increase in throughput in the high-load region, which is consistent with the results of detailed DRL studies for LEO networks presented in the modern literature.
Performance Evaluation of Nanoscale Single- and Dual-Gate MESFETs Using COMSOL Multiphysics Odai M. Bakrshoom; Mohammed F. Alharbi; Mohammed S. Nazer; Ahmed M.A.A. Elngar
Journal of ICT Research and Applications Vol. 20 No. 1 (2026)
Publisher : DRPM - ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2026.20.1.4

Abstract

In this work, a comparative numerical simulation of single-gate and double-gate depletion mode GaAs MESFETs in the nanometer domain using COMSOL Multiphysics was carried out. The objective was to evaluate the significance of multi-gate structures based on electrostatic control capability in terms of performance improvement in Schottky gate MESFETs. Four models were considered, including a traditional single-gate model, an analogous double-gate model, and their corresponding reduced scale models. Comparisons were made in terms of the concentration of electrons and output response depending on the value of the gate bias voltage. There were almost no differences between the two models when scaled at the same dimensions. The reduced dual-gate device exhibited lower leakage current and superior channel control compared to its single-gate counterpart, particularly with higher drain bias applied. This suggests that while the dual-gate design may not be advantageous in all dimensions, it proves more effective when MESFET structures are aggressively scaled, indicating that dual-gate configurations are preferable for nanoscale GaAs MESFETs operating in regimes where electrostatic degradation is significant.
Analyzing Software Evolution Dynamics using Execution Path-aware Graph Divergence Fitra Arifiansyah; Muhammad Zuhri Catur Candra; Gusti Ayu Putri Saptawati
Journal of ICT Research and Applications Vol. 20 No. 1 (2026)
Publisher : DRPM - ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2026.20.1.6

Abstract

Software comprehension is a fundamental activity in software maintenance, and its complexity grows as systems evolve across releases. Call graphs (CG) are widely used to support this process because they capture the calling relationships among functions. However, obtaining meaningful comparisons between different versions of a CG remains challenging. Network Portrait Divergence (NPD) provides a graph invariant and computationally efficient metric for assessing structural differences by analyzing global distributions of node distances and neighborhood patterns. Although it is effective, NPD does not include execution semantics, even though execution paths often convey the behavioral changes that matter to developers. This study introduces a refinement of NPD that replaces neighborhood-oriented features with features derived from execution paths, represented through distributions of path lengths. The modified metric is evaluated in a controlled scenario using synthetic data, designed to distinguish the effects of structural changes including new call and changes to control flow. The results show that the proposed NPD is more responsive to modifications that influence execution behavior. Scenarios that create new execution paths and restructure control flow result in substantially higher divergence. These findings suggest that including execution path information offers a more behavior-oriented view of software evolution and complements topology-based approaches.

Page 32 of 32 | Total Record : 313

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