• Korean Journal of Oriental Medicine
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• v.17 no.3
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• pp.105-114
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• 2011

Objectives : The transient inflammation has been demonstrated to alter visceral motor response (VMR) and acute mucosal inflammation may precede the manifestation of visceral hyperalgesia in animal models. The purpose of our study is to compare effects of the different frequencies applied electroacupuncture (EA) on acupoints in acute colitis induced by trinitrobenzenesulphonic acid (TNBS). Methods : In Male Sprague-Dawley rats, weighing 250~400g, a single colorectal administration of TNBS (5mg/kg) was made and electrode for electromyography (EMG) recording were stitched into the external oblique musculature. EA of either ST25 or ST36 were applied and stimulation parameter was modulated as follows: 2, 10, or 100 Hz with intensity of 2 mA and 1 ms pulse duration for 30 min. The balloon was inserted intra-anally and VMR to colorectal distension (CRD) was quantified with an EMG recording system. Results : The VMR increased significantly 3 days after TNBS intra-rectal colonic injection in rats. Both 2 Hz and 10 Hz EA on ST36 suppressed VMR to CRD in the acute colitis model but not 100 Hz. Only 10 Hz EA on ST25 suppressed VMR to CRD in the acute colitis. Conclusions : These data show that 10 Hz EA potently inhibits hypersensitivity of colorectum after TNBS induced colitis.

• 한국IT서비스학회:학술대회논문집
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• 2010.05a
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• pp.518-522
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• 2010

본 논문에서는 DirectShow 환경의 영상플레이어에 화면 분할, 영상 칠판, 영상 전달등의 기능을 추가한 시스템에 대하여 연구를 하였다. 기존 DirectShow 환경의 영상플레이어에서는 단순히 영상 동작에 제한된 기능만 제공 되어 지기 때문에 영상 제어 하는데 사용자들의 불편이 따르고 있다. 이에 반해, 본 시스템을 사용할 경우 사용자는 DirectShow에서 제공되는 VMR-9(Video Mixing Renderer) Overlay 기술을 통해서 도형으로 영상을 강조 할 수 있으며, network filter Interface 기능을 추가해서 영상 공유 기능을 이용하여 다른 사용자에게 네트워크로 실시간으로 영상 화면을 전달 하여 동시에 영상을 감상 할 수 있어서 사용자에게 편의 제공이 가능하다.

• Korean Journal of Acupuncture
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• v.26 no.2
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• pp.91-108
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• 2009

Objectives: Single colorectal instillation of trinitrobenzenesulphonic acid (TNBS) causes a dose-dependent increase of visceral motor response (VMR) and severity of inflammation. In this study we compared the effects of electroacupuncture in the different acupoints in the acute colitis induced by TNBS intracolonic injection in rats. Methods: In Male Sprague-Dawley rats, weighing $250{\sim}400g$, a single colorectal administration of TNBS 5mg/kg and 50% ethanol under isoflurane anaesthesia after an overnight fast. Electrodes for electromyography (EMG) recording were stitched into the external oblique musculature under general anesthesia. Acupoints of LI4, ST25, or ST36 were stimulated by electroacupuncture, respectively. The balloon was inserted intra-anally and visceral motor response (VMR) to colorectal distensioin (CRD) was quantified with an EMG recording system. Results: At an observation of the visceral hyperalgesia in the day-time series, the visceromotor response increased significantly 3 days after TNBS intra-rectalcolonic injection in rats. Electroacupuncture on either ST25 or ST36 suppressed the visceromotor response to colorectal distension, but not LI4, at 3 days after TNBS injection. Pretreatment of naltrexone (10 mg/kg, i.p.), opioids antagonist, inhibited the VMR suppress of 10Hz EA to ST36 but not phentolamine (5 mg/kg, i.p.). Pretreatment of either naltrexone or phentolamine inhibited effects of 10Hz EA to ST25. Conclusions: Data show that EA at either ST25 or ST36 potently inhibits hypersensitivity of colorectum after TNBS induced colitis and is differently mediated through the endogenous opioid system and adrenergic system.

• Korean Journal of Remote Sensing
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• v.33 no.2
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• pp.135-147
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• 2017

We, for the first time, estimated daily and monthly surface nitrogen dioxide ($NO_2$) volume mixing ratio (VMR) using three regression models with $NO_2$ tropospheric vertical column density (OMIT-rop $NO_2$ VCD) data obtained from Ozone Monitoring Instrument (OMI) in Seoul in South Korea at OMI overpass time (13:45 local time). First linear regression model (M1) is a linear regression equation between OMI-Trop $NO_2$ VCD and in situ $NO_2$ VMR, whereas second linear regression model (M2) incorporates boundary layer height (BLH), temperature, and pressure obtained from Atmospheric Infrared Sounder (AIRS) and OMI-Trop $NO_2$ VCD. Last models (M3M & M3D) are a multiple linear regression equations which include OMI-Trop $NO_2$ VCD, BLH and various meteorological data. In this study, we determined three types of regression models for the training period between 2009 and 2011, and the performance of those regression models was evaluated via comparison with the surface $NO_2$ VMR data obtained from in situ measurements (in situ $NO_2$ VMR) in 2012. The monthly mean surface $NO_2$ VMRs estimated by M3M showed good agreements with those of in situ measurements(avg. R = 0.77). In terms of the daily (13:45LT) $NO_2$ estimation, the highest correlations were found between the daily surface $NO_2$ VMRs estimated by M3D and in-situ $NO_2$ VMRs (avg. R = 0.55). The estimated surface $NO_2$ VMRs by three modelstend to be underestimated. We also discussed the performance of these empirical modelsfor surface $NO_2$ VMR estimation with respect to otherstatistical data such asroot mean square error (RMSE), mean bias, mean absolute error (MAE), and percent difference. This present study shows a possibility of estimating surface $NO_2$ VMR using the satellite measurement.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.1
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• pp.57-66
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• 2007

Scanning worms increase network traffic load because they randomly scan network addresses to find hosts that are susceptible to infection. Since propagation speed is faster than human reaction, scanning worms cause severe network congestion. So we need to build an early detection system which can automatically detect and quarantine such attacks. We propose algorithms to detect scanning worms using network traffic characteristics such as variance, variance to mean ratio(VMR) and correlation coefficient. The proposed algorithm have been verified by computer simulation. Compared to existing algorithm, the proposed algorithm not only reduced computational complexity but also improved detection accuracy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.2
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• pp.369-390
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• 2023

Technologies for disaster management are highly sought areas for research and commercial deployment. Landslides, Flood, cyclones, earthquakes, forest fires and road/train accidents are some causes of disasters. Capturing video and accessing data in real time from the disaster site can help first responders make split second decisions which may save human lives and valuable resource destructions. In this context the communication technologies performing the task should have high bandwidth and low latency which only 5G can deliver. But unfortunately in India, deployment of the 5G mobile communication systems is yet to give a shape and again in remote areas unavailability of 4G signals is still severe. In this situation the authors have proposed, simulated and experimented a 4G-5G communication scheme where from the disaster site the signals will be transmitted by a 5G terminal to a nearby 4G-5G gateway installed in a mobile vehicle. The received 5G signal will be further relayed by the 4G-5G gateway to the fixed 4G base station for onward transmission towards the disaster management station for decision making, deployment and relief monitoring. The 4G-5G gateway acts as a relay and converter of 5G signal to 4G signal and vice versa. This relayed system can be further mounted on a vehicle mounted relay (VMR) as proposed by 3GPP in Release 18. The scheme is also in the same line of context with Verizon's, "Tactical Humanitarian Operations Response" (THOR) vehicle concept. The performance of the link is studied in different channel conditions, the throughput achieved is superb. The authors have implemented the above mentioned system towards smart campus networking and monitoring landslides activities which are common in their regions.

• Journal of Multimedia Information System
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• v.6 no.4
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• pp.235-238
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• 2019

In real world object detection is an active research topic for understanding different objects from images. There are different models presented in past and had significant results. In this paper we are presenting vehicle logo detection using previous object detection models such as You only look once (YOLO) and Faster Region-based CNN (F-RCNN). Both the front and rear view of the vehicles were used for training and testing the proposed method. Along with deep learning an image pre-processing algorithm called perspective transformation is proposed for all the test images. Using perspective transformation, the top view images were transformed into front view images. This algorithm has higher detection rate as compared to raw images. Furthermore, YOLO model has better result as compare to F-RCNN model.

• Journal of applied mathematics & informatics
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• v.30 no.1_2
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• pp.135-145
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• 2012

Traditionally, ERM (Equivalent Random Method) is used to determine number of circuits in an overflow circuit group with rough traffic which has vmr(variance to mean ratio) greater than one. Recently, IPP(Interrupted Poisson Process) approximate method which represents the collective feature of the overflow has been introduced. The negative binomial loss formula can be applied to determine the required number of circuits in the overflow circuit group. In this paper, we deal with the negative binomial loss formula and determination method of number of circuits. We also analyze and compare these three loss formulas.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.2
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• pp.32-46
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• 2017

Recent rapid urban expansion and crowding of various industrial facilities has affected the features of a significant part of downtown area, resulting in areas having buildings with a wide range of height and the foothills. To compute a velocity pressure exposure coefficient, namely the design wind speed factor, this study defines ground surface roughness by utilizing concentration analysis for the height of each building. After obtaining spatial data by extracting a building layer from digital maps, the study area was partitioned for the concentration analysis and to allow investigation of the frequency distribution of building heights. Concentration analysis by building height was determined with the Variation-to-Means Ratio (VMR) and Poisson distribution analysis using a buildings distribution chart, with statistical significance determined using Chi-square verification. Applying geographic information systems (GIS) with the architectural information made it possible to estimate a velocity pressure exposure coefficient factor more quantitatively and objectively, by including geographic features, as compared to current methods. Thus, this method is expected to eliminate inaccuracies that arise when building designers calculate the velocity pressure exposure coefficient in subjective way, and to help increase the wind resistance of buildings in a more logical and cost-effective way.

• The Journal of the Korea Contents Association
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• v.11 no.1
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• pp.50-55
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• 2011

This paper describes methodology which enables user in order to play multiplex channel media at realtime to augment a various advertisement effect efficiently. This method implemented from the computer environment where DirectX SDK, DirectShow and MS Visual Studio 2008 etc. are established. This media player have or hide the menu interface for reads the media. The experimental data which are used in the media player is mostly video. We added the area where has the function of Banner Ticker and GIF Animation in the media player in order augmenting an advertisement effect. All medias come to separate with video and audio by Splitter. Then that respectively execute Decoder and Render. Also the media player are possible video mixing using an alpha channel. This paper used VMR-9 of DirectShow for this. The player which sees to use multiplex channel, to remake the various medias simultaneously. Therefore, this player which sees advertisement effect of the form which is various positively in the users, has the advantage which is the possibility to recognize. This paper use tried the media player using experimental data and compare the existing media player and the media player which proposes from functional differences for an advertisement effect.