• Korean Journal of Applied Biomechanics
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• v.15 no.2
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• pp.113-117
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• 2005

As a preliminary study of finding the relationship between the force at the grip and the success rate during putting stroke, the putting grip sensor system using FSR sensors was developed. The system consisted of the hardware which had the sensor part with 8 sensors per putting glove and data acquisition part as well as the software which had the real-time monitoring program and the offline post-processing program. After experiments with elite-golfer using this system, it is possible to suggest the proper force ranges at the grip during putting stroke.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.69-72
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• 2005

As life style becomes to be complicated, lots of support technologies were developed. The bar code technology is one of them. It was renovating approach to goods industry. However, data storage ability in one dimension bar code came in limit because of industry growth. Two-dimension bar code was proposed to overcome one-dimension bar code. PDF417 bar code most commonly used in standard two-dimension bar codes is well defined at data decoding and error correction area. More works could be done in bar code image acquisition process. Applying various image enhancement algorithms, the recognition rate of PDF417 bar code is improved.

• Journal of Korea Multimedia Society
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• v.19 no.5
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• pp.881-889
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• 2016

Ocular region recently emerged as a new biometric trait for overcoming the limitations of iris recognition performance at the situation that cannot expect high user cooperation, because the acquisition of an ocular image does not require high user cooperation and close capture unlike an iris image. This study proposes a new method for ocular image recognition based on BRISK (binary robust invariant scalable keypoints). It uses the distance ratio of the two nearest neighbors to improve the accuracy of the detection of corresponding keypoint pairs, and it also uses geometric constraint for eliminating incorrect keypoint pairs. Experiments for evaluating the validity the proposed method were performed on MMU public database. The person recognition rate on left and right ocular image datasets showed 91.1% and 90.6% respectively. The performance represents about 5% higher accuracy than the SIFT-based method which has been widely used in a biometric field.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.925-928
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• 1995

Recently, the system of the industry demands quick and accurate measurement for the mass production and high quality. Also, we need to improve the accuracy to decrease the failure rate in automatic assembly processing and improve the confidence, durability and the compatibility of parts. To answer this tendency and requirement, we have developed many accrate measuring instruments and methods. In this paper, we develop the whidows program using the DSP board(TMS320C25) which is used the data acquisition and the Visual C $^{++}$ , a windows programming language. We perform the measurement, analysis and output process in GUI(Graphic User Interface)environment. By using system, we will save the time required for the hand-worked measurement and avoid the useless iterative measurement. Furthermore, we expect to improve the productivity through automotive quality control in manufacturing process.s.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.5
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• pp.870-876
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• 2017

In this paper, we proposed the automatic vision inspection system using multi-layer perceptron to detect the defects occurred on rail surface. The proposed system consists of image acquisition part and analysis part. Rail surface image is acquired as equal interval using line scan camera and lighting. Mean filter and dynamic threshold is used to reduce noise and segment defect area. Various features to characterize the defects are extracted. And they are used to train and distinguish defects by MLP-classifier. The system is installed on HEMU-430X and applied to analyze the rail surface images acquired from Honam-line at high speed up to 300 km/h. Recognition rate is calculated through comparison with manual inspection results.

• 한국연소학회:학술대회논문집
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• 2001.06a
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• pp.172-179
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• 2001

Experimental studies have been carried out to find out the characteristics of the heat transfer, combustion emission and noise in the boilers without any extra firing zone for complete combustion of fuel. For the experiments a burner of premixed type and some heat exchangers were designed and manufactured. Also test facilities including a data acquisition system and various measuring devices were set up in order to measure automatically the various temperatures and flow rates of water and combustion gas. Various experiments were performed to find out the heat transfer characteristics as well as combustion emission and noise. In general, the burner which has uniform holes in the burner nozzle plate generates big combustion noise . whistling. The noise reduction method is discussed in this study. Many experimental data such as noise level, the amount of pollutant emission and heat transfer rate for different combination of heat exchangers are given as comparison bases for numerical studies.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.6
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• pp.1024-1031
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• 2015

Compressive sensing is a new data acquisition method enabling the reconstruction of sparse or compressible signals from a smaller number of measurements than Nyquist rate, as long as the signal is sparse and the measurement is incoherent. In this paper, we consider a simple hypothesis testing in target detection and estimation problems using compressive sensing, where the performance depends on the sparsity level of the signals being detected. We provide theoretical analysis results along with some experiment results.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.2157-2158
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• 2006

Heart Rate Variability (HRV) system is useful for evaluating the balance in homeostasis of autonomic nervous system. In this study, we implement HRV monitoring system by performing real time FFT spectrum analysis on R-R intervals data acquired from Electrocardiogram (ECG) acquisition and transmitting the data by RF communication module.

• Proceedings of the KIEE Conference
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• 2001.07b
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• pp.1284-1286
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• 2001

In this paper, the operating characteristics of a 3 kW class grid-interactive photovoltaic(PV) power system was analysed from January 1998 to December 2000. The construction of the PV system includes a DC/AC inverter for grid connection, PV module, and data Monitoring & Acquisition system. The major results of the field test of the 3 kW class grid-interactive PV system showed that the system utilization rate was 13.83% the conversion efficiency of the inverter was 88% at an over half load, and the PV system generated the electricity more then 300 kWh per month.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2562-2564
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• 2004

This paper addresses a simulation for the Ethernet based data transmission between the CIC(Centralized Traffic Control System) and the SCADA(Supervisory Control and Data Acquisition) system. Fame error rate and throughput are calculated and compared for the two cases that the CTC/SCADA has an extra error control scheme besides the internal CRC32 of the Ethernet and that no extra error control has been done. Simulation program is constructed with the Matlab and the Matlab GUI and then converted into a stand-alone $c^{++}$ program to be used on any non-Matlab environments.