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The Effect of Gamma Correction on the Accuracy of Vehicle Detection Using the YOLOv8 Algorithm Fathree Halawa; Elviawaty Muisa Zamzami; Jos Timanta Tarigan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 1 (2026): February 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i1.7022

Abstract

Accurate vehicle detection under low-light conditions is a significant challenge in traffic surveillance systems and computer vision applications. Although YOLOv8 performs well under normal illumination, its accuracy decreases when processing low-light images due to reduced contrast and limited visual details. This study proposes the integration of gamma correction as a preprocessing method to enhance image brightness and improve YOLOv8 detection performance. The dataset consists of real ATCS traffic camera recordings from Medan City under varying lighting conditions. Gamma correction with three values (0.5, 1.5, and 2.0) was applied to evaluate its effect on detection accuracy. The results show that gamma 1.5 provides the best improvement, increasing mAP@0.5 by 0.14% and mAP@0.5:0.95 by 0.74%, and achieving the highest confidence score of 0.9678 while also producing more stable training convergence. The novelty of this study lies in applying gamma correction to YOLOv8 using real-world ATCS low-light data, demonstrating that simple preprocessing can enhance detection robustness without modifying the model architecture.
A Hybrid AES–NTRU Cryptographic Framework with Deterministic Dynamic S-Box for Secure Data Transmission Purwanto Simamora; Poltak Sihombing; Mohammad Andri Budiman; Jos Timanta Tarigan
Journal of Applied Data Sciences Vol 7, No 3: September 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i3.1307

Abstract

The rapid expansion of interconnected sensing and monitoring systems has significantly increased the volume of digital data exchanged across distributed environments. While these systems provide substantial benefits for real-time monitoring and automated decision making, they also introduce critical challenges related to data confidentiality and secure communication. This study proposes a hybrid cryptographic framework designed to strengthen secure data transmission in distributed sensing environments. The primary objective of this research is to integrate a symmetric encryption mechanism with a lattice-based public-key cryptographic scheme within a hybrid key protection architecture. In addition, a deterministic round-dependent substitution mechanism is introduced into the symmetric encryption process to provide controlled structural variability during data encryption while preserving compatibility with the standard round-based encryption structure. The proposed framework was implemented in a software-based prototype environment and evaluated through a series of encryption and decryption experiments using representative data payloads that emulate typical communication scenarios in distributed sensing systems. The evaluation focused on three aspects: implementation correctness, computational performance, and diffusion characteristics of the encryption process. Experimental results confirm that all encrypted data payloads were successfully decrypted to their original plaintext without bit errors, demonstrating the functional correctness of the integrated cryptographic architecture. The encryption process achieved an avalanche effect of 47.01 percent, with an average encryption time of 118.99 milliseconds and a decryption time of 5.91 milliseconds in the prototype environment. These results indicate consistent diffusion behavior within acceptable experimental bounds while maintaining reasonable computational overhead for gateway-level communication nodes. The findings suggest that integrating adaptive substitution mechanisms within hybrid cryptographic architectures can provide flexible encryption structures suitable for secure data transmission in distributed monitoring systems, while remaining compatible with widely deployed symmetric encryption frameworks.