Jo Feb 21, 2022
Kim Won Ok, a researcher at the Faculty of Information Science and Technology, has developed a C/C++ programming evaluation system to raise practical programming skills of students who are learning C/C++ programming including those who are receiving distance education, and to make an accurate evaluation of the programming assignments performed by them.
What she has done includes the combination of web and other applications by TCP socket communication, the implementation of a C/C++ programming environment by C++ compiler and I/O stream pipeline, accurate evaluation of assignment performance, and the security of learning-related data including assignments by user certification, copy paste protection and encryption.
She herself tried making and running a program so as to make a programming tool and a system for evaluating programming accuracy. This helped raise students’ programming skills and enthusiasm for study, and evaluate their assignment performance rapidly and accurately.
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Jo Feb 19, 2022
Pak Il Chol, a researcher at Faculty of Information Science and Technology, has developed a Java API compound retrieval program on the basis of the collection of code snippets and feature extraction. In this program it is possible to realize ranking of code snippets suitable for user intention from their application degree and brevity degree.
He increased the rate of indexing by 0.3GB per hour and the precision and recall by 6% and 9% respectively, which resulted in the improvement of the development speed and quality of programs. Thus, he ensured the guarantee for reducing the labour and time needed for program development to one tenth.
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Jo Feb 17, 2022
Ri Sok Chol, a section head at the Faculty of Metal Engineering employed genetic programming (GP) to derive a CaO-SiO2-Al2O3 slag viscosity equation and presented an algorithm for it.
Slag viscosity is a key property that determines the stability and productivity in the metallurgical furnace operation, and it is of great importance in understanding the fluid dynamic of molten slags and slag-metal reaction kinetics during the pyrometallurgy process.
Up to now, there have been many experiments to measure, and models to estimate slag viscosity. Viscosity models can be classified into explicit models, structural models, and miscellaneous models according to the way in which they are connected to the description of slag structure.
A slag viscosity equation described with only slag composition and temperature was successfully derived by genetic programming (GP).
The viscosities of CaO-SiO2-Al2O3 system slag can be simply and expediently calculated in a wide range of compositions and temperatures by using the derived viscosity equation.
The average relative error between the values obtained by the equation and the experimental data used for its derivation is as low as 17.1%. To evaluate the accuracy of the viscosity equation of CaO-SiO2-Al2O3 system slag, experimental data and results calculated by many researchers and not used for the derivation of the viscosity equation were compared, and a reasonably good agreement was demonstrated between the results calculated by viscosity equation and other researchers’ experimental and calculated data. The calculation of viscosity showed higher accuracy than previous models.
His essay “Derivation of CaO-SiO2-Al2O3 System Slag Viscosity Equation by GP” was carried in SCI Journal “Journal of Mining and Metallurgy, Section B: Metallurgy”.
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Jo Jan 29, 2022
These days study on a learning method for getting a dynamic characteristic model without the knowledge of an object in the field of a hierarchical supervisory control system has been actively being conducted. However, no method of applying it to existing production processes by speeding up Q-learning convergence has been proposed yet.
Kim Song Ho, a section head at Faculty of Automation Engineering, proposed a two-layer intelligent supervisory control system to adjust the online optimum setting point of the control system and set forth a new method to improve Q-learning convergence.
Unlike previous methods, the core of his suggestion is that it helps overcome trial and error Q-learning process, the weakest point of this learning, and achieve the fastest Q-learning convergence by setting optimally the way of automatically extracting experience rules of process operation from historical operation data and the initial phase of Q-learning.
His suggestion is estimated to have great practical significance in making large-scale continuous industrial processes unmanned and intelligent as it is supposed to minimize the effect of environmental changes and to guarantee product quality and stability of process operation.
He presented his essay titled “On-line set-point optimization for Intelligent Supervisory Control and Improvement of Q-learning Convergence” to SCI journals “Control Engineering Practice”.
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Jo Jan 26, 2022
PCPs have been widely used to lift heavy oil and multiphase material in oil fields.
Previous approaches for slippage calculation takes too much time and they cannot be used for real-time control of PCPs. Furthermore, they cannot be adopted to liquid with low viscosity like water.
Om Il Ryong, an institute head at Faculty of Mining Engineering, and his research group have found a way to analytically calculate the hydrodynamic characters of one-lobe PCPs without using Navier Stokes equations and CFD.
First they determined the length of gaps analytically to convert axial and transversal gaps into space between parallel plates, hydrodynamic equivalence.
Then after they made some assumptions considering the structural periodicity of a PCP, they made an analytical determination of the overall hydrodynamic resistance and obtained flow rate change according to pressure differences.
Thus, they laid the foundation to rapidly calculate the slippage inside a PCP and realize the automatic control of PCP systems. Therefore, they could reduce the calculation time of 8 days in the past to less than 1 second.
He presented his essay titled “A New Analytical Approach to Calculate a Slippage inside a Progressing Cavity Pump with a Metallic Stator by Using a Middle Streamline and a Structural Periodicity” to SCI journals “SPE JOURNAL” .
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Jo Jan 24, 2022
Kong Myong Il, a researcher at Semi-conductor Institute, and his research group have developed PTC (positive temperature coefficient) resistance material necessary for constant operation of facilities under the condition of room temperature even in low-temperature zones, and they have been expanding their achievements.
This material provides room temperature resistance of 20Ω, Curie temperature of 30℃ and temperature coefficient of resistance of over 18%/℃.
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