• Journal of Institute of Control, Robotics and Systems
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• v.22 no.11
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• pp.937-943
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• 2016

Vertical velocity is critical in many areas, such as the control of unmanned aerial vehicles, fall detection, and virtual reality. Conventionally, the integration of GPS (Global Positioning System) with an IMU (Inertial Measurement Unit) was popular for the estimation of vertical components. However, GPS cannot work well indoors and, more importantly, has low accuracy in the vertical direction. In order to overcome these issues, IMU-barometer integration has been suggested instead of IMU-GPS integration. This paper proposes a new complementary filter for the estimation of vertical velocity based on IMU-barometer integration. The proposed complementary filter is designed to minimize drift error in the estimated velocity by adding PID control in addition to a zero velocity update technique.

• Journal of Society of Preventive Korean Medicine
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• v.16 no.1
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• pp.1-13
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• 2012

The objective of this study is to discuss the role of integrative medicine (IM) in contemporary health care settings, and how and which factors affect and facilitate the success of IM in terms of the integration of complementary and alternative medicine (CAM) and conventional medicine in primary health care (PHC). IM is meant to provide the best possible health care, for both patient and physician. The way of IM use in the developed countries presents various ways that IM can be provided, and it appears that strategies have been successfully developed to facilitate integration. Although few of the barriers to the integration of CAM and conventional medicine have been resolved, concerns over the legitimacy of CAM in health care (e.g., safety, biomedical evidence, and efficacy) are being overcome by the use of evidence-based practice in IM delivery. There are dominant models of IM that have been developed. The model types signify different levels of equity between CAM and conventional medicine in regard to the power, autonomy, and control held by each. However, the factors common to all IM models, whether describing CAM as supplementary or complementary to conventional medicine, is the concept of a health care model that aspires to be client-centred and holistic, with focus on health rather than disease as well as mutual respect among peer practitioners. Finally, this study concluded that the growth and viability of traditional Korean medicine(TKM) depend on evidence-based practices and identifying the successful influences on the integration of TKM and conventional medicine for recognition of its inherent value in PHC. Some recommendations for the integration of TKM and conventional medicine were suggested.

• Journal of Sensor Science and Technology
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• v.25 no.3
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• pp.202-207
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• 2016

Estimation of vertical position is critical in applications of sports science and fall detection and also controls of unmanned aerial vehicles and motor boats. Due to low accuracy of GPS(global positioning system) in the vertical direction, the integration of IMU(inertial measurement unit) with the GPS is not suitable for the vertical position estimation. This paper investigates an IMU-barometer integration for estimation of vertical position (as well as vertical velocity). In particular, a new two-step Kalman/complementary filter is proposed for accurate and efficient estimation using 6-axis IMU and barometer signals. The two-step filter is composed of (i) a Kalman filter that estimates vertical acceleration via tilt orientation of the sensor using the IMU signals and (ii) a complementary filter that estimates vertical position using the barometer signal and the vertical acceleration from the first step. The estimation performance was evaluated against a reference optical motion capture system. In the experimental results, the averaged estimation error of the proposed method was 19.7 cm while that of the raw barometer signal was 43.4 cm.

• Journal of Biomedical Engineering Research
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• v.23 no.2
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• pp.165-170
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• 2002

The aim of this study was to analyze the effect of different sensory information on the motor function which is resulted from visual stimuli. Particularly, it was focused on the effect of complementary color stimuli on reaction time. Twenty volunteers(10 men & 10 women), between the age of 20 and 25 yearn participated in this experiment. Experiments were carried out in a light & sound-attenuated chamber, and the overall system consisted of a PC. interface card. LEDs. key board switch, and display panel. Although many measurements of sensory-motor integration has been studied the quantitative analysis of sensory-motor integration has not been developed well. Quantitative analyses were performed to investigate the effect of the different sensory information on the arm motor system in the point of view sensory-motor integration. The result showed that the reaction time for visual stimuli of complementary colors was faster than that under same color environments : and, in same color environments and the reaction speed was varied inversely with respect to the magnitude of the light wavelength.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.153-153
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• 2022

Large-scale and accurate observations at fine spatial resolution through a means of remote sensing offer an effective tool for capturing rainfall variability over the traditional rain gauges and weather radars. Although satellite rainfall products (SRPs) derived using two major estimation approaches were evaluated worldwide, their practical applications suffered from limitations. In particular, the traditional top-down SRPs (e.g., IMERG), which are based on direct estimation of rain rate from microwave satellite observations, are mainly restricted with their coarse spatial resolution, while applications of the bottom-up approach, which allows backward estimation of rainfall from soil moisture signals, to novel high spatial resolution soil moisture satellite sensors over South Korea are not introduced. Thus, this study aims to evaluate the performances of a state-of-the-art bottom-up SRP (the self-calibrated SM2RAIN model) applied to the C-band SAR Sentinel-1, a statistically downscaled version of the conventional top-down IMERG SRP, and their integration for a targeted high spatial resolution of 0.01° (~ 1-km) over central South Korea, where the differences in climate zones (coastal region vs. mainland region) and vegetation covers (croplands vs. mixed forests) are highlighted. The results indicated that each single SRP can provide plus points in distinct climatic and vegetated conditions, while their drawbacks have existed. Superior performance was obtained by merging these individual SRPs, providing preliminary results on a complementary high spatial resolution SRP over central South Korea. This study results shed light on the further development of integration framework and a complementary high spatial resolution rainfall product from multi-satellite sensors as well as multi-observing systems (integrated gauge-radar-satellite) extending for entire South Korea, toward the demands for urban hydrology and microscale agriculture.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1393-1395
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• 2003

In this research, we presented a data integration, which integrates ultra high resolution images and complementary data for 3D building reconstruction. In our method, as the ultra high resolution image, Three Line Sensor (TLS) images are used in combination with 2D digital maps, DSMs and both of them. Reconstructed 3D buildings, correctness rate and the accuracy of results were presented. As a result, optimized combination scheme of data sets , sensors and methods was proposed.

• Journal of Microbiology and Biotechnology
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• v.16 no.6
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• pp.979-982
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• 2006

Two knockout vectors, in which the truncated Kluyveromyces lactis URAS gene is flanked by a direct repeat, were developed for Saccharomyces cerevisiae. Each vector was designed to harbor 5'- and 3'-end homology regions for integration. Two knockout fragments were devised to integrate into the correct locus in a complementary manner to disrupt a gene of interest and. concomitantly to make functional Kl URA3 for transfomant selection. The use of dual complementary knockout cassettes was expected to dramatically reduce integration into unwanted loci in the genome. The knockout system developed in this study was successfully used for disruption of the GAL1 gene in S. cerevisiae.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.3
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• pp.612-619
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• 2011

Satellite navigation system such as GPS is becoming more important infrastructure for positioning, navigation and timing. But satellite navigation system is vulnerable to interferences because of the low received power, complementary navigation system such as eLoran is needed. In order to develop eLoran/GPS navigation system, integrated eLoran/GPS navigation algorithm is necessary. In this paper, new integrated eLoran/GPS navigation algorithm is proposed. It combines the position domain integration and the range domain integration to get accurate position with less computational burden. Also an eLoran/GPS evaluation platform is designed and performance evaluation of the proposed algorithm using the evaluation platform is given. The proposed algorithm gives an accuracy of the range domain integration with a computational load of the position domain integration.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.33.4-33
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• 2002

Recently, number of navigation system using GPS and other complementary sensor has been developed to offer high-position accuracy. In this paper, we developed navigation system for mobile robot integrating GPS and DR sensor information provided by fiber optic gyroscopes and encoder information. In the case of short-term applications, integrating this encoder and gyroscope through Kalman filter reliable positioning can be obtained. And for the long-term applications we developed GPS/DR Integration algorithm using Kalman filter

• ETRI Journal
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• v.29 no.4
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• pp.411-420
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• 2007

The steady evolution of mapping technology is leading to an increasing availability of multi-sensory geo-spatial datasets, such as data acquired by single-head frame cameras, multi-head frame cameras, line cameras, and light detection and ranging systems, at a reasonable cost. The complementary nature of the data collected by these systems makes their integration to obtain a complete description of the object space. However, such integration is only possible after accurate co-registration of the collected data to a common reference frame. The registration can be carried out reliably through a triangulation procedure which considers the characteristics of the involved data. This paper introduces algorithms for a multi-primitive and multi-sensory triangulation environment, which is geared towards taking advantage of the complementary characteristics of spatial data available from the above mentioned sensors. The triangulation procedure ensures the alignment of involved data to a common reference frame. The devised methodologies are tested and proven efficient through experiments using real multi-sensory data.