Thanh-Nam Pham

• Ph.D.
• Research Assistant at Feng Chia University

This paper introduces a novel algorithm that increases the efficiency of the current cloud-based smart-parking system and develops a network architecture based on the Internet-of-Things technology. This paper proposed a system that helps users automatically find a free parking space at the least cost based on new performance metrics to calculate th...

From the fifth-generation mobile communication systems (5G), the architecture of the Internet of Things (IoT) has grown enormously with more promising technologies and connections. However, edge realm components such as sensors and nodes still present a crucial security flaw related to radio frequency attacks. By restricting and stopping informatio...

Protecting personal information and sensitive data has recently become a significant issue that has piqued the interest of security researchers. To access confidential information, users frequently input passwords via the keyboard. This current password input method will expose numerous risks and vulnerabilities when artificial intelligence, partic...

Home Security Systems (HSSs) have received much attention and have been widely adopted for practical deployment. However, detection and warning accuracy still need to be improved, along with the range of the realm, making it challenging to satisfy the user demands. This study proposes a security monitoring system based on mobile robots and the Inte...

This paper proposes constructing a smart parking service model based on the Internet of Things and Fog computing architecture. The weaknesses of previous parking service delivery systems are that they did not offer a complete set of end-to-end parking services, such as inaccurate information about parking in real-time, poor system storage and expan...

In this paper, we propose a solution for implementing a real-time image-streaming system for vehicle networks. Our proposed system organizes each vehicle as a local Internet of Things network. In each network, nodes are connected to cameras to capture images of the surrounding environment of the road. Then, the captured data are published to a stre...

Monitoring of vibration in machine tools is becoming a very important application in industry to reduce machine failures, maintenance costs, and dead time. In this paper, we propose a method to identify possible faults based on vibration data from which predictions about the working condition of the machine tools can be made. We used an acceleromet...

Monitoring of vibration in machine tools is becoming a very important application in industry to reduce machine failures, maintenance costs, and dead time. In this paper, we propose a method to identify possible faults based on vibration data from which predictions about the working condition of the machine tools can be made. We used an acceleromet...

In this study, we explored solutions to improve the quality of real-time image transmission in vehicle networks. We deployed multiple cameras in each vehicle to collect scene data on the road. Then, the collected data was transmitted to a streaming server through a gateway and using a 4G internet connection. We use the MQTT protocol to implement ou...

In this paper, we propose a solution for implementing a real-time image streaming system for vehicle networks. The proposed system organizes each vehicle as a local Internet of Things network. In each network, nodes are connected to cameras to capture images of the surrounding environment of the road. Following this, the captured data is published...

In this paper, we propose an adaptive Forward Error Correction (FEC) coding algorithm at the Medium Access Control (MAC) layer used in wireless networks. Our algorithm is based on the lookup table architecture, including a distance lookup table and a bit error rate lookup table. These tables will store the best value of the FEC codes based on diffe...