Word spotting plays a crucial role in document analysis, particularly for ancient palm leaf manuscripts. Khmer palm leaf manuscripts, which are written on rectangularly cut and dried palm leaf sheets, hold significant cultural value in Cambodia. These manuscripts contain valuable historical, religious, and linguistic information, making their preservation essential. However, extracting information from them is challenging due to their fragility,

This research focuses on preserving Cambodia's historical Khmer palm leaf manuscripts by proposing a text-image reconstruction and reparation framework using advanced computer vision and deep learning techniques. To address the preservation, Convolutional Neural Networks (CNN) and Generative Adversarial Networks (GAN) are employed to fill in the missing patterns of characters in the damaged images. The study utilizes the SleukRith Set [1], which

With the growth of usage of Docker containers in the recent year, Vulnerability scanning is essential to scanning and detecting known flaws and vulnerabilities in that specific Docker image. Using a custom docker image with third-party libraries in our code base authenticity or knowing their flaws can cause a lot of trouble in the future. In this case, vulnerability scanning tools such as Clair, Trivy, Anchor Grype, and Snyk are used for detectin

Lettuce (Lactuca sativa) is a green leafy vegetable popularly consumed fresh without prior cooking, potentially posing a health risk if poorly handled. For this reason, washing is crucial for reducing contaminated microorganisms before consumption. There are many commercial washing solutions in the market. Yet, their effectiveness remains unclear. This study aimed to evaluate and compare the efficacies of different washing solutions, such as sing

A brushed DC motor is an important machine and widely used in the industry and in many of today’s mechatronics systems such as mobile robots, robot arms, and other industrial applications because of its simplicity, ease of control, and reasonable cost. The position control of a DC motor is crucial for a precision control system and it is well known that the mathematical model is very crucial for a control system design. For a DC motor, there are

Walkability is a measure that assesses the extent to which roadways are conducive to pedestrian walking. Walking, being an eco-friendly means of transportation, has many advantages including minimized adverse environmental effects, enhanced individual autonomy, and improved physical well-being. The aim of this research is to calculate an enhanced Walkability Index by considering nine variables. Additionally, it aims to assess the significance and

In this paper, an adjoint sensitivity analysis with an iterative first-order gradient descent optimization technique is proposed in conjunction with the finite-difference time-domain (FDTD) method to design a broadband multi-layer planar electromagnetic wave absorber made of expanded polystyrene mixed with graphite powder. This analysis needs an additional adjoint field simulation for the sensitivity calculation of design parameters (thickness an

The present study aimed to assess the proximate chemical compositions of 16 rice varieties collected from Battambang, Takeo, and Prey Veng provinces in Cambodia. Proximate chemical compositions including moisture content, protein, total carbohydrates, fiber, ash, lipids, and amylose content were subjected to analysis. The results showed that all chemical compositions of the 16 rice varieties varied significantly (p <0.05). The carbohydrates and p

Rural electrification is a critical challenge in many developing countries, where conventional grid extension is often not feasible or cost-effective due to low load density and long distances. Hybrid AC/DC microgrids offer a promising alternative solution, providing a reliable and sustainable electricity supply to rural communities. This study presents a comparative analysis of four clustering techniques (hierarchical, k-means, fuzzy c-means, an

Distributed photovoltaic (PV) and battery energy storage (BES) generating systems are interesting to power utilities owing to their benefits in terms of technology, business, and the environment. However, improper distributed generation (DG) sizes and locations might have an impact on the technological distribution network. The aim of this study is to improve the production of grid-connected PV on the electrical three-phase poles of a low-voltage