The investigation focuses on using deep learning techniques to design a testing camera system and identify welding-related issues in outer pipes. The system uses an RGB camera, an ESP32 microcontroller, a DC motor with a rotary encoder, an LED strip, and a small computer that has a graphical user interface. This prototype was made to help with automating the inspection of carbon steel pipe weld…
Recently, many fake images and videos can be created and manipulated easily by employing Artificial Intelligence technologies, mainly based on Generative Adversarial Network (GAN). These synthesized media (images or videos) can be used later in unethical ways to create panic among individuals. This type of technology, which synthesizes human images and videos, is called deepfake. This paper pro…
This study proposes a new metaheuristic algorithm named Cendrawasih Bird Optimization Algorithm (COA), inspired by the natural behavior of Cendrawasih birds—an endemic species of Indonesia. COA mimics the main behavior of the birds, namely exploration and exploitation, to create a balance between global exploration and local exploitation capabilities in solving various optimization problems. …
The purpose of this paper is to suggest an integrated system that combines the classification of medical images and a recommendation model for the choice of the best hospitals for cancer treatment according to the analysis of the brain MRI. For the classification of brain MRI images for tumor detection, we used EfficientNet-B3 as the base model. To evaluate its performance, we contrasted it wit…
This paper presents the full chip-level design of a multi-mode CMOS vision sensor, emphasizing the detailed implementation of its circuit architecture. The proposed chip incorporates our previously developed photodiode sensing array together with the on-chip design of control circuitry. By embedding these building blocks, the chip enables pixel-level compressive sensing and supports dual operat…
Inter-turn short circuit (ITSC) issues are a common electrical failure mainly caused by the deterioration of winding insulation in the machine over time. Failing to detect such issues early can lead to catastrophic consequences. This article investigates the interturn fault in the stator winding of a doubly-fed induction generator (DFIG) used in wind turbines. A flux linkage difference vector (…
In recent years, rapid growth of renewable energy systems and electric vehicle technologies has intensified the focus on lithium-ion batteries as critical energy storage components. Consequently, evaluating their performance and lifespan has become a significant concern in both scientific research and industrial applications. The accurate remaining useful life (RUL) prediction of lithium-ion ba…
Estimation of state of charge (SoC) in Li-ion batteries has been accomplished by many methods over couple of years. Every research in this domain majorly focusses on improving accuracy of estimation and some in exploring new algorithms. In this regard, we worked in analyzing the accuracy of estimation of SoC of sophisticatedly accurate techniques. A data-driven SoC estimation using deep neural …
Solar photovoltaic (PV) performance is significantly affected by surface temperature and panel cleanliness, both of which influence energy conversion efficiency. Elevated temperatures reduce power output, while dust accumulation decreases effective solar irradiance. This study proposes an IoT-based integrated cooling and cleaning system as its main contribution, enabling real-time monitoring, i…
Cognitive cyber-physical systems (CCPS) represent a critical inflection point in the evolution of intelligent engineering systems, where computation, learning, and physical interaction are no longer separated but fused within a continuous adaptive loop. This editorial positions CCPS as the intermediate layer between foundational computational intelligence and fully autonomous socio-cognitive sy…