Hui-Seon Gang

Chosun University · Department of Information and Communication Engineering

Numerous studies on positioning technology are ongoing for recognizing the positions of objects accurately. Vision-, sensor-, and signal-based technologies are combined for recognizing the positions of objects outdoors and indoors. While positioning technologies involving wireless communication based on sensors and signals are commonly used in outd...

As smartphone built-in sensors, wireless technologies, and processor computing power become more advanced and global positioning system (GPS)-based positioning technologies are improving, location-based services (LBS) have become a part of our daily lives. At the same time, demand has grown for LBS applications in indoor environments, such as indoo...

Indoor positioning systems have received increasing attention because of their wide range of indoor applications. However, the positioning system generally suffers from large error in localization and has low solidity. The main approaches widely used for indoor localization are based on the inertial measurement unit (IMU), Bluetooth, Wi-Fi, and ult...

Nowadays, research and development of various indoor positioning systems (IPS) have been increasing owing to flourishing social and commercial interest in location-based services (LBSs). Among LBS technologies, we used the Bluetooth low energy (BLE) beacon in our system, which consumes less energy and is embedded in many current smartphones and tab...

The unstable nature of radio frequency (RF) signals and the need for external infrastructure inside buildings have limited the use of positioning techniques, such as Wi-Fi and Bluetooth fingerprinting. Compared to these techniques, the geomagnetic field exhibits a stable signal strength in the time domain. However, existing magnetic positioning met...

The traditional indoor magnetic positioning system cannot give good accuracy in wide space because of the anomaly in geomagnetic data. We propose long short-term memory (LSTM) based deep recurrent neural network (DRNN) model for indoor position system (IPS), which is capable of capturing discriminative features in long-range input sequences. We col...

In order to detect and track a moving target using an IR-UWB radar in indoor environment, the signal processing system using filters is normally used. Basically, filters cut the clutters off from the received signal based on the pre-defined characteristics of the target or clutters. Therefore, if the target and clutters are clearly distinguished, f...

Video quality generally suffers from packet losses caused by an unreliable channel when video is transmitted over an error-prone wireless channel. This quality degradation is the main reason that a video compression encoder uses error-resilient coding to deal with the high packet-loss probability. The use of adequate error resilience can mitigate t...

This paper presents a computationally efficient approach for automating the process of synthesizing optimized microstrip antennas. The approach is used for designing an optimized 5.2㎓ microstrip antenna for wireless local area network (WLAN) applications. Indeed, the antenna is modeled as an equivalent circuit and an accurate transmission line tech...

To provide high-quality video streaming services in a mobile communication network, a large bandwidth and reliable channel conditions are required. However, mobile communication services still encounter limited bandwidth and varying channel conditions. The streaming video system compresses video with motion estimation and compensation using multipl...

H.264/AVC is a video coding standard widely used in many multimedia services because of its higher coding efficiency and various application possibilities. In order to increase the compression ratio, H.264/AVC standard uses multiple reference frames for the motion estimation and decides the optimal motion vectors and encoding mode by Rate-Distortio...