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

Non-intrusive load monitoring systems (NILM) have attracted much attention due to their potential contribution to energy savings for individual households. The approach analyzes the load consumption of each device in terms of the total energy consumption of the house. The selection of essential load signatures for load identification expresses a crucial challenge with NILM techniques. Several studies that have been proposed in the literature clai

Crop diseases, unfavorable growth, and nutritional deficiencies have a significant impact on the quality and quantity of agricultural income. According to the United Nations’ Food and Agriculture Organization, it is estimated that pre- and post-harvest diseases alone destroy at least 20–40% of global agricultural production. In developing countries like Cambodia, farmers tend to have a limited understanding of crop diseases and how to treat them,

In the chain of the healthcare domain even in the public or private sector of a developing country, there is still much concern about information sharing, security, and privacy, especially for identity management. In Cambodia, currently, the centralized framework for identity management is mostly used, which highly depends on a single trust third-party Certificate Authority (CA) such as the General Department of ICT (GDICT) at the Ministry of Pos

Nowadays, smart home technology has become one of the leading IoT-based projects and as a result of that there are lots of new IoT-based products available in society that allow people to live more convenient and secure lives at home. Many people are aware of this technology, and the smart home application helps people to manage their schedules, home lighting, electricity bills, grocery lists, and also their home security. Today, face recognition

Medical Information System represents a designed system that enables medical staff to collect, store, manage, and transmit data to strengthen the health sector. Healthcare data is sensitive and therefore, it requires protection from unauthorized access. Besides, this data should be shareable among all health organizations. Thus, the health information system enables multiple users from different healthcare organizations to join the network and ha

Mobile robots have been around since the late 1960s. This kind of technology has caught the attention of many researchers since then. In the last decade, the applications of mobile robots are being applied in various sectors unleashing more benefits of automation and robotics to be captured to their maximum potential by mankind. As the tasks are getting more complex, it requires the mobile robots to be more advanced and autonomous. That is when m

Cambodia's first CubeSat Apsara-1 is being developed through an ongoing collaboration between the Institute of Technology of Cambodia and the University of Tokyo. In the early project phase, simulation methods are required for mission design. One important component, needed to predict the mission lifetime, is an orbital simulator. For example, Apsara1 is planned to be launched into orbit in 2024 when solar activity is near its peak, leading to hi