• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1102-1104
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• 2003

KOMPSAT-2 provides two different imaging methods, direct imaging and playback imaging. For playback imaging operation KOMPSAT-2 has a storage device called DCSU (Data Compression & Storage Unit) to hold images taken before. Compression function is necessary to save memory space and data transmission time to ground station. There are several parameters for compression like compression ratio. Due to DCSU architectural characteristics and KOMPSAT-2 operational limitations, there are some restrictions on selecting compression parameters. This paper will provide selecting guides on compression parameters.

• Journal of the Korean Home Economics Association
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• v.26 no.3
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• pp.103-108
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• 1988

Texture Profile Analysis (TPA) on cowpea and mung bean starch gels was performed with the Instron and the effect of the degree of compression on TPA parameters measured. Fracturability was almost independent of the degree of compression. hardness usually increased with increasing compression. Cohesiveness and chewiness decreased for mung bean starch gel as compression increases. Springiness in two starch gels increased a little from 55% to 65% compression and then decreased from 75% to 95% compression. Gumminess for mung bean starch gels decreased steeply from 55% to 75% compression, then it increased moderately up to 95% compression. Since the TPA parameters vary so widely with degree of compression, all TPA measurements should standardize the degree of compression.

• Proceedings of the Korean Geotechical Society Conference
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• 2009.03a
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• pp.737-742
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• 2009

This research intends to clarify the engineering characteristics of compression index which plays the most important role in the calculation of consolidation settlement, based on the survey of the clay in the estuary of Nakdong River. In addition, it will analyze the parameters of soil and the correlation between the parameters and the existing relation, especially the correlation with compression index, through which it will propose a proper relation for the parameters of clay in this area. As a result of the study, the relation between the settlement and the compression rate using compression index showed 13% settlement error on the average. It is judged that this number can be used for forecasting the consolidation characteristics and the settlement for brief (preliminary) design when the difference between the execution settlement and the measuring settlement is regarded to be 15%.

• Korean Journal of Applied Biomechanics
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• v.31 no.3
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• pp.220-225
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• 2021

Objective: The purpose of this study was to investigate the effect of levels of education on ground reaction force and center of pressure parameters during chest compression resuscitation. Method: Twenty male university students were divided into two groups; certified group (CG, n=10) and non-certified group (NCG, n=10). Two force plates were used to measure ground reaction force and center of pressure parameters during 30 times (three trials) chest compression resuscitation. Independent t-tests were used to compare ground reaction force and center of pressure parameters between two groups. An alpha level of 0.05 was used in all tests. Results: All chest-compression time parameters (total time, 1 systolic time, and diastolic time) in CG were significantly shorter than those in NCG (p<.05). Fy of the diastolic and Fz of the systolic in CG revealed significantly the larger GRF values and Fy of the systolic in CG showed significantly the smaller GRF value (p<.05). The standard deviation of Fz of the systolic and diastolic within the subject during 30 times chest-compression resuscitation revealed significantly the smaller values in CG (p<.05). Conclusion: First, CG performed chest compressions efficiently at an appropriate rate compared to NCG. Second, CG showed lower Fx and Fy values in both the mediolateral and anteroposterior axes compared to NCG, which reduced unnecessary chest-compression force consumption and minimized the movement in patients with cardiac arrest. Third, CG showed high Fz value of the systolic and low Fz value of the diastolic. Based on this, chest compression resuscitation was performed to increase the survival rate of cardiac arrest patients.

• Geomechanics and Engineering
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• v.25 no.4
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• pp.341-345
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• 2021

1D sand compression response to ko-loading experiences volume contraction from low to high effective stress regimes. Previous study suggested compressibility model with physically correct asymptotic void ratios at low and high stress levels and examined only for both remolded clays and natural clays. This study extends the validity of Enhanced Terzaghi model for different sand types complied from 1D compression data. The model involved with four parameters can adequately fit 1D sand compression data for a wide stress range. The low stress obtained from fitting parameters helps to identify the initial fabric conditions. In addition, strong correlation between compressibility and the void ratio at low stress facilitates determination of self-consistent fitting parameters. The computed tangent constrained modulus can capture monotonic stiffening effect induced by an increase in effective stress. The magnitude of tangent stiffness during large strain test should not be associated with small strain stiffness values. The use of a single continuous function to capture 1D stress-strain sand response to ko-loading can improve numerical efficiency and systematically quantify the yield stress instead of ad hoc methods.

• 제어로봇시스템학회:학술대회논문집
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• 1999.10a
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• pp.133-136
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• 1999

Many researches on the identification of a system have been carried out using a least square method, an adaptive filter, and so on. However, it is difficult to apply these methods in a nonlinear system. In the case of a nonlinear system, it is known that the signal compression method is able to estimate uncertain parameters of linear element in a nonlinear system because it is able to separate linear element and nonlinear element in a nonlinear system. However, the signal compression method cannot be applied to a motion simulator because actuators of the simulator is single-rod cylinders which includes expansion and compression dynamic properties. Therefore, this paper proposes a modified signal compression method which is able to estimate uncertain parameters of the motion simulator dynamics. The dynamic properties of this system are identified by separating expansion and compression properties when applying the signal compression method. And then, the identified parameters are applied to design a sliding mode controller for the simulator. The performance of the designed sliding mode controller is evaluated experimentally.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.4
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• pp.1389-1408
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• 2021

Proof-of-Work (PoW) is the first and still most common consensus protocol in blockchain. But it is costly and energy intensive, aiming at addressing these problems, we propose a consensus algorithm named Proof-of-Work-and-Block-Compression (PoW-BC). PoW-BC is an improvement of PoW to compress blocks and adjust consensus parameters. The algorithm is designed to encourage the reduction of block size, which improves transmission efficiency and reduces disk space for storing blocks. The transaction optimization model and block compression model are proposed to compress block data with a smaller compression ratio and less compression/ decompression duration. Block compression ratio is used to adjust mining difficulty and transaction count of PoW-BC consensus protocol according to the consensus parameters adjustment model. Through experiment and analysis, it shows that PoW-BC improves transaction throughput, and reduces block interval and energy consumption.

• Journal of Mechanical Science and Technology
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• v.16 no.11
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• pp.1379-1394
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• 2002

In case of a single input single output (SISO) system with a nonlinear term, a signal compression method is useful to identify a system because the equivalent impulse response of linear part from the system can be extracted by the method. However even though the signal compression method is useful to estimate uncertain parameters of the system, the method cannot be directly applied to a unique system with hysteresis characteristics because it cannot estimate all of the two different dynamic properties according to its motion direction. This paper proposes a signal compression method with a pre-processor to identify a unique system with two different dynamics according to its motion direction. The pre-processor plays a role of separating expansion and retraction properties from the system with hysteresis characteristics. For evaluating performance of the proposed approach, a simulation to estimate the assumed unknown parameters for an arbitrary known model is carried out. A motion platform with several single-rod cylinders is a representative unique system with two different dynamics, because each single-rod cylinder has expansion and retraction dynamic properties according to its motion direction. The nominal constant parameters of the motion platform are experimentally identified by using the proposed method. As its application, the identified parameters are applied to a design of a sliding mode controller for the simulator.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.1131-1134
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• 2003

Unknown parameters of a nonlinear system were estimated using a signal compression method. The estimated parameters were natural frequency and tile damping coefficient. This study applied a algorithm using tile comparison of the cross-correlation coefficient between the impulse response from a model and it from the signal compression method. The impulse through linear element included in a nonlinear system could be obtained by the signal compression method. The unknown parameters of the linear element could be estimated by comparing the Bode plots of system's impulse response with them of model's response. In this study, a LSCM(LabVIEW-Signal-Compression-Method) was developed to identify a nonlinear system. The LSCM consisted of National Instrument's (NI) Data Acquisition (DAQ) Board (Model PCI-1200), a monitoring program using LabVIEW software package, DAQ Signal Accessory Board, and 2nd-order electric circuits. The designed electric circuits consisted of resistors, inductors and capacitors. To evaluate the performance of the LSCM, the response from model with known parameters is compared with the response from the real system using the monitoring program. The results from simulation of experiment showed that the developed LSCM provided a reliable estimation performance.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2001.10a
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• pp.29-32
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• 2001

The objective of this work was to optimize processing parameters of hybrid thermoplastic composites in compression molding. The mechanical properties of the composites manufactured with various forming conditions were measured to characterize processing parameters. Polypropylene(PP) composites containing randomly oriented long carbon fiber and carbon black were used in this work. The composite materials contained 5%, 10%, 15%, and 20% carbon fiber and 5%, 10%, 15%, 20%, and 25% carbon black by weight. Compression molding was conducted at various mold temperatures. The temperature of the material in the mid-plain was monitored during the forming. Crystallinity was also measured by using XRD. The tensile modulus of the composites increase, with increasing the mold temperature. However, the impact strength of the composites decreases as mold temperature increases.