• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.7
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• pp.159-166
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• 2013

This paper proposes an efficient loop accelerator for a motion estimation specific instruction-set processor. ME algorithms in nature contain complex and multiple loop operations. To support efficient hardware (HW) loop operations, this paper introduces four loop instructions and their specific HW architecture. The simulation results show that the proposed loop accelerator can reduce about 29% average instruction cycles for ME early-termination schemes compared with typical implementation having a combination of compare and conditional jump instructions. The proposed loop accelerator of the motion estimation specific instruction-set processor can significantly reduce the number of program memory accesses and greatly save power consumption. Hence, it can be quite suitable for low power and flexible ME implementation.

• Journal of the Korean Vacuum Society
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• v.14 no.3
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• pp.138-142
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• 2005

We tested performance of the 4C1 beamline for analyzing structures of proteins in solution using small angle X-ray scattering (SAXS) at the Pohang Light Source(PLS). Structurally well-known proteins such as lysozyme and $Bcl-XL(\vartriangle TM/\vartriangle loop)$ were used for the study. Low resolution solution structures of lysozyme and $Bcl-XL(\vartriangle TM/\vartriangle loop)$ were obtained at a resolution of at least i.2 nm, and the structures were basically same as those calculated from the crystal structures of the proteins. We also used $Bcl-XL(\vartriangle TM/\vartriangle loop)$ with a long flexible loop attached [$Bcl-XL(\vartriangleTM))$] and obtained significantly different data from $Bcl-XL(\vartriangle TM/\vartriangle loop)$, although the electron density map of the loop is known to be invisible from the crystal structure of $Bcl-XL(\vartriangleTM))$. We confirm that SAXS experiment is a powerful tool for the structural study of proteins in solution and the 4Cl beamline at the PLS is well-equipped and suitable for the protein solution SAXS experiment.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.112-116
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• 1992

In this paper, a fuzzy logic controller(FLC) is designed for the pointing loop of the spin-stabilized platform. For the fuzzy inference, a fuzzy accelerator board using the Togai InfraLogic software and digital fuzzy processor(DFP110FC) is designed, and a validation of an algorithm for fuzzy logic control is also presented. The pointing loop of the spin-stabilized platform using FLC has better performance of step responses than a proportional controller in case of same loop hain through the software simulation and the experiment of implemented hardware.

• Nuclear Engineering and Technology
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• v.48 no.5
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• pp.1154-1161
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• 2016

The heat transfer characteristics between liquid lead bismuth eutectic (LBE) and helium are of great significance for the two-loop cooling system based on an accelerator-driven system (ADS). This paper presents an experimental study on the resistance characteristics and heat transfer performance in a LBE-helium experimental loop of ADS. Pressure drops in the LBE loop, the main heat transfer, and the coupled heat transfer characteristics between LBE and helium are investigated experimentally. The temperature of LBE has a significant effect on the LBE thermo-physical properties, and is therefore considered in the prediction of pressure drops. The results show that the overall heat transfer coefficient increases with the increasing helium flow rate and the decreasing inlet temperature of helium. Increasing the LBE Reynolds number and LBE inlet temperature promotes the heat transfer performance of main heat transfer and thus the overall heat transfer coefficient. The experimental results give an insight into the flow and heat transfer properties in a LBE-helium heat exchanger and are helpful for the optimization of an ADS system design.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.4
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• pp.56-66
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• 1993

In this paper, a fuzzy logic controll(FLC) is designed for the pointing loop of the spinstabilized platform. For the fuzzy inference, a fuzzy accelerator board using the Togai InfraLogic software and digital fuzzy processor(DFP110FC) is designed, and a validation of an algorithm for fuzzy logic control is also presented. Through the simulation and the experiment, it can be seen that the designed FLC shows better performance than a conventional controller using the same loop gain.

• Journal of Microbiology and Biotechnology
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• v.28 no.8
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• pp.1339-1345
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• 2018

2-Keto-3-deoxy-6-phosphogluconate (KDPG) aldolase, which catalyzes aldol cleavage and condensation reactions, has two distinct substrate-binding sites. The substrate-binding mode at the catalytic site and Schiff-base formation have been well studied. However, structural information on the phosphate-binding loop (P-loop) is limited. Zymomonas mobilis KDPG aldolase is one of the aldolases with a wide substrate spectrum. Its structure in complex with the substrate-mimicking 3-phosphoglycerate (3PG) shows that the phosphate moiety of 3PG interacts with the P-loop and a nearby conserved serine residue. 3PG-binding to the P-loop replaces water molecules aligned from the P-loop to the catalytic site, as observed in the apostructure. The extra electron density near the P-loop and comparison with other aldolases suggest the diversity and flexibility of the serine-containing loop among KDPG aldolases. These structural data may help to understand the substrate-binding mode and the broad substrate specificity of the Zymomonas KDPG aldolase.

• Journal of Ocean Engineering and Technology
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• v.15 no.1
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• pp.57-66
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• 2001

In order to measure steel corrosion in mortar by a transient electro-magnetic (TEM) Method, the development of the sensors have been studied. The sensors were made of enamelled wire with diameter of 0.25mm and Acril. The sensor configuration was used as a coincident loop type. The secondary electro motive force(EMF) was measured with SIROTEM III. The accelerator was equipped with the SIROTEM III. The accelerator permits the transmitter to turn off approximately 10~15 times faster than normal. The high resolution time series used for very shallow or high resistivity investigation was selected. The steels were embedded in mortar which were made from sand : cement : water ratio of 2 : 1: 0.5. The mortar specimen was 50cm long, 20cm wide and 10cm thick. To investigate steel corrosion in mortar, the sensors used were with 2$\times$2$cm^2$(3, 6, 9$\Omega$), 3$\times$3$cm^2$(3, 6, 9$\Omega$) and 6$\times$6$cm^2$(3, 6, 9$\Omega$). The obtained result obtained showed that the sensor 8(6$\times$6$cm^2$, 6$\Omega$) was the proper sensor for the measurement of steel corrosion in mortar.

• Proceedings of the KSME Conference
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• 2007.05b
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• pp.2907-2912
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• 2007

The cooling water system for the PEFP 20 MeV proton accelerator was established and tested to obtain the precise resonance frequency of DTL through the temperature control of cooling water. The water temperature in the main flow loop was manipulated by adjusting the proportion of hot water returning from the DTL structures through the heat exchanger loop. Due to low duty factor operation and insufficient cooling loop installation of the DTL tanks, the manual mode operation was applied to maintain the DTL temperatures close to their resonance temperatures. The optimized process conditions with flow balancing and pressure drop in the DTL cooling systems are reported.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.491-494
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• 2004

Neural Oscillator can be applied to oscillatory systems such as the image recognition, the voice recognition, estimate of the weather fluctuation and analysis of geological fluctuation etc in nature and principally, it is used often to pattern recoglition of image information. Conventional BPL(Back-Propagation Learning) and MLNN(Multi Layer Neural Network) are not proper for oscillatory systems because these algorithm complicate Learning structure, have tedious procedures and sluggish convergence problem. However, these problems can be easily solved by using a synchrony characteristic of neural oscillator with PLL(phase-Locked Loop) function and by using a simple Hebbian learning rule. And also, Recognition velocity of Korean Character can be improved by using a Neural Oscillator's learning accelerator factor η$\_$ij/

• Journal of Power Electronics
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• v.13 no.4
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• pp.536-545
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• 2013

In this study, an integrated motor control algorithm for an in-wheel electric vehicle is suggested. It consists of slip control that controls the in-wheel motor torque using the road friction coefficient and slip ratio; yaw rate control that controls the in-wheel motor torque according to the road friction coefficient and the yaw rate error; and velocity control that controls the vehicle velocity by a weight factor based on the road friction coefficient and the yaw rate error. A co-simulator was developed, which combined the vehicle performance simulator based on MATLAB/Simulink and the vehicle model of CarSim. Based on the co-simulator, a human-in-the-loop simulation environment was constructed, in which a driver can directly control the steering wheel, the accelerator pedal, and the brake pedal in real time. The performance of the integrated motor control algorithm for the in-wheel electric vehicle was evaluated through human-in-the-loop simulations.