Jo Sep 21, 2026
Recently, relay protection devices using digital signal processing techniques have been widely used in power systems to improve the reliability of power supply. In these devices, voltage and current signals are converted into discrete data and appropriate algorithms are used to calculate the results for protection. To detect faults accurately and quickly, voltage and current signals need to be acquired at a high speed and many input data must be processed simultaneously.
Many advanced protection algorithms are implemented in microprocessor-based relay protection devices in the form of software. All conventional microprocessor-based relay protection devices implement protection algorithms by using the continuity of software architecture, which takes up some time for CPU and thus limits the operating speed of protection.
Due to the characteristics of inherent parallel hardware routing architecture, FPGAs (field programmable gate arrays) have many applications in industrial and mass manufacturing systems. Some researchers proposed a scheme to implement the function of relay protection by utilizing the characteristics of FPGA.
Im Jung Bin, a researcher at the Faculty of Electronics, proposed a novel FPGA-based data acquisition and processing system to realize fast operation of protection.
Using the characteristics of parallel operation of FPGA, the proposed digital relay protection device can simultaneously judge multi-protection logic by controlling ADCs that simultaneously sample and transform the voltage and current signals of multiple channels and by processing discrete data in real time with full cycle discrete Fourier transform (FCDFT) algorithm. The proposed data acquisition and processing module is configured in the Altera Cyclone III EP3C40Q240CN8 to realize high-speed operation, the main requirement of relay protection.
The proposed digital relay protection device can operate within 1.1 cycles of power system frequency.
For more information, please refer to his paper “FPGA-Based Data Acquisition and Processing System for Digital Relay Protection” in “Proceedings of KUTIC-2025”.
...
Jo Sep 20, 2026
Recently, the ecological environment is deteriorating due to various natural disasters caused by global warming and domestic waste. Therefore, it is important to develop a reliable USV control approach to collect river or sea waste under the challenging environment.
Kim Chung Il, a researcher at the Faculty of Naval Architecture and Ocean Engineering, established a mathematical model of USV motion and a wind model in the presence of mass variation, and then designed a fuzzy neural adaptive sliding mode controller to estimate uncertain mass and wind disturbance simultaneously when collecting sea waste.
First, he devised a mathematical model of USV motion and a wind model to consider added mass and wind variation when collecting sea waste. Then, he used a fuzzy neural method to determine varying wind effect during the mass variation and designed a nonlinear disturbance observer to estimate uncertain disturbances involving mass variation. Finally, he designed an adaptive sliding mode controller to consider varying displacement and wind effect.
The simulation results showed that this methodology enables USV to deal with added mass and varying wind disturbance during a transient period of time to collect sea waste.
You can find more information in his paper “Fuzzy Neural Adaptive SMC of an Unmanned Surface Vehicle for Sea Waste Collection with Varying Displacement and Wind Effect” in “Proceedings of KUTIC-2025”.
...
Jo Sep 18, 2026
The most efficient routing approach for data collection in WSNs is the cluster-based approach. The sensor nodes of WSNs are discriminated by several multi-criteria. Hence, a number of energy-efficient cluster-based routing protocols that comprehensively consider these mutually contradictory multi-criteria have been developed.
The typical algorithms which were used to comprehensively consider multi-criteria include fuzzy logic, MCDM, meta-heuristic optimization algorithm, and the combination of these approaches.
MCDM approach is mainly used to evaluate the completed alternatives defined by several criteria or factors. Thus, recently, there has been active research effort to exploit MCDM approaches for cluster-based routing.
The goal of cluster-based routing optimization is to maximize energy consumption balancing among nodes by taking into account various criteria in the whole process of clustering routing while maintaining stability, reliability and connectivity of network, and thus to extend network lifetime as much as possible. However, existing cluster-based routing protocols exploit either individual MCDM approaches or fuzzy logic or meta-heuristic optimization algorithms in the cluster head (CH) node selection of clustering stage.
Ri Man Gun, an institute head at the Faculty of Communication, proposed a novel clustering scheme using adaptive fuzzy C-means (AFCM) and an improved ant-lion optimization (ALO) approach.
This scheme first divides the whole network into k clusters using the AFCM algorithm. After that, an improved ALO is applied to each cluster to select the optimal CH nodes. The improved ALO prescribes a new fitness function by the multi-criteria based on the weights assigned by FCNP-VWA.
The simulation results revealed that the proposed scheme achieves superior energy consumption balance.
For more information, you can refer to his paper “An Energy Efficient Routing Scheme using a Hybrid MCDM and Meta-Heuristic Algorithm in WSNs” in “Proceedings of KUTIC-2025”.
...
Jo Sep 17, 2026
The ball and plate system is a typical multivariable, nonlinear system, which is widely used in control engineering experiments and scientific research. As a two-dimensional extension of a ball and beam system, it not only stabilizes the ball at a desired position on the plate but also realizes random tracking control, which has involved a lot of research.
Model predictive control, which was mostly used for delay systems like chemical processes, has been used a lot in the control of mechanical systems recently. Prediction models are of different types, and recently, state space models have been used as a prediction model for many predictive controls. In this case, a state observer is necessary because it is impossible to measure all of the system states in practice. However, there are some problems with using a state observer. One of its drawbacks is robustness. And whether a state observer is included or not is also a problem for ball and plate systems.
Kim Hun Chol, a researcher at the Faculty of Automatics, presented a non-minimal state space (NMSS) model of ball and plate system, a typical multivariable, nonlinear system, and realized position control of the ball on the plate using NMSS model predictive control (MPC).
In conformity with the characteristics of MPC and the configuration of the proposed control system, he introduced the NMSS model without the need for a state observer to design MPC.
He verified the effectiveness and performance through MATLAB simulation and real experiments. The results validated that the proposed NMSS-MPC is a suitable control method for ball and plate systems.
You can find the details in his paper “Study on Stabilization and Tracking Control of Ball and Plate System using Non-Minimal State Space Model Predictive Control” in “Proceedings of KUTIC-2025”.
...
Jo Sep 16, 2026
The particle swarm optimization (PSO) algorithm is a kind of optimization method based on the theory of cluster intelligence. The greatest advantage of PSO algorithm is its fast convergence speed, simplicity of evolution operation, low computational cost and few parameters needed.
Kim Yong Su, a researcher at the Faculty of Automatics, proposed a method of designing a PID controller using the PSO algorithm and the dominant pole placement.
He used the PSO algorithm to determine the position of dominant pole for minimizing the judge function consisting of the absolute error integral index (IAE) and overshoot value, and used Fuzzy Neural Network (FNN) to determine the parameters of PID controller.
The proposed method makes it possible to get both the optimal dominant pole and the exchanging frequency at the same time and to get good control results as the overshoot value is small. The simulation results demonstrated that the proposed method is effective.
For more information, you can refer to his paper “Self-Tuning Method of PID Controller using PSO and Fuzzy Neural Network” in “Proceedings of KUTIC-2025”.
...
Jo Sep 15, 2026
Magnetic compass based on MEMS is a device that can display the course of ships and the heading of aircraft, and it is widely used because of its fast measurement and low cost.
Due to the characteristics of Earth’s magnetic field and the environmental effects on magnetic compasses, determination of heading based on Earth’s magnetic field measurement still exposes several problems to overcome. Thus, lots of efforts have been made to improve the accuracy of digital magnetic compasses in different external conditions, which resulted in the development of many calibration methods.
Preceding research papers described that the locus from the sensing axes of magnetic compass is an ellipse or ellipsoid due to the influence of magnetic interference on the magnetic compass.
Ri Yong Rim, a researcher at the Faculty of Naval Architecture and Ocean Engineering, proposed a method for compensating the accidental error and improving the accuracy of MEMS magnetic compass by using robust ellipse fitting.
In order to evaluate the effectiveness of the objective function, he performed ellipse approximations by the measured values under artificial random noise. As a result, he identified the trend and shortcomings of the new objective function, and further improved the objective function to overcome the shortcomings.
Then, he obtained compensation coefficients and compensation errors by the algebraic ellipse approximation and by the improved ellipse approximation, calculated the heading, and compared it with the actual heading. The result demonstrated that the improved ellipse approximation model had good noise suppression performance and adaptability.
You can find more information in his paper “Research on Improving Heading Accuracy of MEMS Magnetic Compass Based on Robust Ellipse and Spheroid Fitting” in “Proceedings of KUTIC-2025”.
...