• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.3
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• pp.89-95
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• 2014

Traffic information is closely related to our daily lives. Thanks to the development of portable electronic devices, we can get traffic information rather easily. In particular, Most of traffic informations are being provided through mobile apps due to the spread of smartphones. Accordingly, to improve usability is emerged significant challenge. Therefore, this paper perform comparative evaluation for four traffic mobile apps which is currently being offered in our country and draw user needs. Then we suggest direction of traffic information apps for the future. First, We summarized research trend on information visualization and techniques which is used to traffic mobile apps with introduction traffic mobile apps. We adopted heuristic evaluation technique which is suitable for evaluating visualization and drew evaluation elements for traffic information visualization. Then, We conducted a survey based on evaluation elements so we was able to give objectivity to evaluation of information visualization which was could subjective. Based on the results we could derive results of evaluation of visualization for four traffic mobile apps. We expect that the results of this study will be contributed to develop of traffic information visualization services.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2018.10a
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• pp.124-124
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• 2018

본 연구는 국내 생약중 도라지를 포함, 인삼, 당귀, 생강, 마 5가지를 선별하여 각 원물별로 항산화 활성 가장 높은 기준으로 증숙시킨 조건의 흑도라지, 흑삼, 흑당귀, 흑생강, 흑마를 확보하였다. 증숙시킨 5가지 생약은 다시 혼합 추출(BMHE; Black Mixed Herbal Extract)하여 증숙하지 않은 생약 혼합 추출물(MHE; Mixed Herbal extract)과 항산화, 항염 및 항알러지 활성을 비교하여 증숙공정이 생약의 생리활성에 미치는 긍정적인 영향을 바탕으로 피부향장 소재로 활용가능성을 확인하고자 연구하였다. 실험은 MHE와 BMHE를 각각 50% Ethyl alcohol로 추출하여 감압농축하여 생리활성을 평가하였으며, MHE와 BMHE 추출물에 대한 세포생존률을 확인한 결과 $1,000{\mu}g/ml$의 농도에서 각각 89.4%와 95.3%의 세포생존률을 보임에 따라 $1,000{\mu}g/ml$ 이하의 농도에서 HME와 BMHE 모두 세포독성이 거의 적은 것을 확인하였다. DPPH radical scavenging effects 항산화 활성에 대하여 MHE와 BMHE을 비교한 결과 농도 의존적으로 항산화 활성을 보였으며 $1,000{\mu}g/ml$의 농도에서는 각각 66.8%와 74.2%의 라디칼 소거능을 확인하였다. NO assay로부터 항염활성을 비교한 결과에서도 MHE와 BMHE 모두 농도 의존적으로 NO의 함량 감소시켰으며 $1,000{\mu}g/ml$로 처리한 농도에서는 59.5%와 64.7%의 억제율을 각각 보임에 따라 항염 효과도 우수한 것을 확인하였다. 항알레르기 효능 실험 중 하나인 5-LO 억제효능을 측정하여 ME와 BME의 항알러지 효능을 측정한 결과 상기의 결과와 마찬가지로 농도 의존적으로 5-Lipoxygenase를 억제하였으며, $1,000{\mu}g/ml$의 농도로 MHE와 BMHE를 처리하였을 시 5-Lipoxygenase 효소활성에 대하여 각각 76.2%와 83.5%의 높은 억제율을 확인 하였다. 이는 양성대조군인 EGCG를 $200{\mu}g/ml$의 농도로 처리한 9.10%에 근접한 억제율을 보임에 따라 항알러지 효과가 우수한을 확인할 수 있었다. 실험 결과를 바탕으로 BMHE가 MHE보다 항산화, 항염, 항알러지 활성이 우수한 것을 확인 할 수 있었으며, 이는 증숙기법이 생약의 생리활성을 높여주는 것은 물론 더 나아가 본 연구를 통해 확보된 5가지 흑도라지, 흑삼, 흑당귀, 흑생강, 흑마는 향후 피부향장 소재로 활용이 용이할 것으로 사료된다.

• Journal of Life Science
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• v.26 no.2
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• pp.204-211
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• 2016

The objective of this study was to obtain acute (single) oral dose toxicity information on Lactobacillus-fermented Araliae Continentalis Radix aqueous extracts (fACR) in female and male ICR mice, as compared with Araliae Continentalis Radix aqueous extracts (ACR). After administering a single oral dose of fACR, no treatment-related mortalities were observed within 14 days after the end of treatment up to 2,000 mg/kg, the maximum dosage for rodents of both sexes; moreover, no fACR treatment-related changes in the body and organ weights, clinical signs, necropsy, and histopathological findings were detected in this experiment. In addition, no ACR 2,000 mg/kg treatment-related mortalities, clinical signs, body and organ weights, or gross and histopathological findings were observed, as compared with equal genders of vehicle control. The results obtained in this study suggest that fACR is non-toxic in mice and is, therefore, likely to be safe for clinical use. The LD₅₀ and approximate LD in female mice and male mice, respectively, were considered after a single oral dose of fACR over 2,000 mg/kg, the maximum dosage for rodents. In addition, no specific targets or clinical signs were detected in the present study. ACR 2,000 mg/kg-treated mice also did not show any treatment-related mortalities, clinical signs, changes to body and organ weights, or gross and histopathological findings, as compared with equal genders of vehicle control.

• Journal of IKEEE
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• v.25 no.2
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• pp.273-279
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• 2021

In this paper, we propose an algorithm that shortens the learning time by performing individual learning using partitioning the deep learning structure. The proposed algorithm consists of four processes: network classification origin setting process, feature vector extraction process, feature noise removal process, and class classification process. First, in the process of setting the network classification starting point, the division starting point of the network structure for effective feature vector extraction is set. Second, in the feature vector extraction process, feature vectors are extracted without additional learning using the weights previously learned. Third, in the feature noise removal process, the extracted feature vector is received and the output value of each class is learned to remove noise from the data. Fourth, in the class classification process, the noise-removed feature vector is input to the multi-layer perceptron structure, and the result is output and learned. To evaluate the performance of the proposed algorithm, we experimented with the Extended Yale B face database. As a result of the experiment, in the case of the time required for one-time learning, the proposed algorithm reduced 40.7% based on the existing algorithm. In addition, the number of learning up to the target recognition rate was shortened compared with the existing algorithm. Through the experimental results, it was confirmed that the one-time learning time and the total learning time were reduced and improved over the existing algorithm.

• Journal of Korean Society of Disaster and Security
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• v.14 no.4
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• pp.29-36
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• 2021

Recently, due to climate change, the slope is increasing, and the risk of steep slope disasters such as the occurrence of slope collapse in the east coast and Busan region in 2019 and the Gokseong landslide in 2020 is increasing. Particularly, most national parks are made up of mountainous areas, and the risk of disasters on steep slopes is increasing. As the ground of the national park is aging and the weathering and jointing of the bedrock are accelerating due to climate change, the slope collapse and rockfall are increasing, and the annual number of visitors is increasing, it is necessary to manage steep slopes adjacent to multi-use facilities with many users. In this study, dangerous steep slopes that affect multi-use facilities in national parks were analyzed using GIS and verified through field surveys. As a process for extracting steep slopes adjacent to multi-use facilities in national parks, the slope was made in DEM and slopes of 34 degrees or higher were extracted. The difference between the maximum and minimum heights of the extracted slopes was used to confirm that the slopes met the standard for steep slopes, and the analysis of the slope direction was used to confirm whether it had an effect on the multi-use facilities. After that, precision aerial images and field photos were analyzed to finally identify risks at 4 sites, and field surveys were conducted. As a result of the field survey, all 4 sites were found to be steep slopes, 3 were graded D and 1 was graded C, so it was confirmed that management was required as a risk of collapse. All steep slopes extracted through GIS were found to be dangerous, so it is judged that the extraction of steep slopes through GIS would be appropriate.

• Journal of the Korea institute for structural maintenance and inspection
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• v.23 no.7
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• pp.87-94
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• 2019

Recently, the advance of accurate dynamic displacement measurement devices, such as GPS, computer vision, and optic laser sensor, has enhanced the structural monitoring technology. In this study, the dynamic displacement data was used to verify the applicability of the structural physical parameter estimation method through subspace system identification. The subspace system identification theory for estimating state-space model from measured data and physics-based interpretation for deriving the physical parameter of the estimated system are presented. Three-degree-freedom steel structures were fabricated for the experimental verification of the theory in this study. Laser displacement sensor and accelerometer were used to measure the displacement data of each floor and the acceleration data of the shaking table. Discrete state-space model generated from measured data was verified for precision. The discrete state-space model generated from the measured data extracted the floor stiffness of the building after accuracy verification. In addition, based on the story stiffness extracted from the state space model, five column stiffening and damage samples were set up to extract the change rate of story stiffness for each sample. As a result, in case of reinforcement and damage under the same condition, the stiffness change showed a high matching rate.

• Journal of Applied Biological Chemistry
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• v.58 no.2
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• pp.139-143
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• 2015

In the present study, we investigated the oral toxicity of Amomum tsao-ko Crevost et Lemaire, (Zingiberaceae) extract in Balb/c mice (BALB, n=60) for 3 weeks. Balb/c mice (10 mice/group, 6 group, $20{\pm}2g$, 6 weeks) were orally administered for 21 days, with dosage of 250, 500, 1000, 2000 mg/kg/day. Ethanol extract of A. tsao-ko did not affect any significant change of mortality, clinical signs, organs and body weights. Also, there were not significantly difference from the naive group (control) in hematological and serum biochemical examination. Consequently, these findings indicate that 3-week treatment with the ethanol extract of A. tsao-ko was not any toxic effects in Balb/c mice and the no-observed adverse effect level (NOAEL) for oral toxicity was determined to be 2000 mg/kg/day under our experimental conditions.

• Journal of Applied Biological Chemistry
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• v.65 no.3
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• pp.121-128
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• 2022

This study explored plant-derived natural antioxidants by evaluating the antioxidant activity of Lamiaceae plant seed extracts. Plants with the percentage of filled seeds at or above 90% and seed germination at or above 50% were selected. Of the ten species studied, the total phenolic content of the seeds was high in the species Phlomis umbrosa Turcz. (6.2 mg GAEs/g of seeds) and Elsholtzia ciliata (Thunb.) Hyl. (4.5 mg GAEs/g of seeds). The total flavonoid content of the seeds was high in E. ciliata (1.0 mg QEs/g of seeds) and P. umbrosa (0.6 mg QEs/g of seeds). Based on the EC₅₀ value of the seed extracts, 2,2-diphenyl-1-picrylhydrazyl radical scavenging activity was high in the seeds of the plants E. ciliata (27.5 ㎍/mL), Mosla dianthera (Buch.-Ham. ex Roxb.) Maxim. (29.2 ㎍/mL), and Prunella vulgaris var. lilacina Nakai (33.3 ㎍/mL). In addition, 2,2'-Azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) radical scavenging activity was high in P. vulgaris var. lilacina (25.6 ㎍/mL), E. ciliata (25.9 ㎍/mL), and M. dianthera (27.6 ㎍/mL) seeds. The ferric reducing antioxidant power of the seed extracts was high in P. vulgaris var. lilacina (2910.4 µM Fe(II)/g of extract), E. ciliata (2836.2 µM Fe(II)/g of extract), and M. dianthera (2754.4 µM Fe(II)/g of extract). According to the cluster analysis based on antioxidant activity, the seeds of the ten species were classified into three groups, from group 1 with low antioxidant activity to group 3 with high antioxidant activity; E. ciliata, M. dianthera, and P. vulgaris var. lilacina were classified as group 3.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.1
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• pp.169-178
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• 2010

The main purpose of this study is to evaluate the feasibility and the accuracy of ASTER DEM and SRTM DEM covering 99% of the earth surface using large-scale Digital Topographic Map in mountainous area(Sokcho), mixed area(Jinan, mountainous area and even land area) and even land area(Anyang). We made DEM using contour lines of 1:5,000 Digital Topographic Map of study area and also acquired ASTER DEM and SRTM DEM of their corresponding area. In order to verify accuracy of DEM, this study compared ASTER DEM and SRTM DEM data using 15m resolution DEM generated from contour lines of Digital Topographic Map as basis for each study area. To evaluate the accuracy of ASTER and SRTM DEM data, statistical such as RMSE and correlation were calculated and histogram and scatter plot were drawn. The analysis result shows that, both ASTER DEM and SRTM DEM have high accuracy but in aspects of future availability, ASTER DEM covering larger areas bas relatively more potential than SRTM data.

• Journal of the Korean Society for information Management
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• v.36 no.4
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• pp.83-105
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• 2019

This study aims to suggest an effective method for the automatic classification of keywords with similar patterns by calculating pattern similarity of temporal data. For this, large scale news on the Web were collected and time series data composed of 120 time segments were built. To make training data set for the performance test of the proposed model, 440 representative keywords were manually classified according to 8 types of trend. This study introduces a Dynamic Time Warping(DTW) method which have been commonly used in the field of time series analytics, and proposes an application model, MA-DTW based on a Moving Average(MA) method which gives a good explanation on a tendency of trend curve. As a result of the automatic classification by a k-Nearest Neighbor(kNN) algorithm, Euclidean Distance(ED) and DTW showed 48.2% and 66.6% of maximum micro-averaged F1 score respectively, whereas the proposed model represented 74.3% of the best micro-averaged F1 score. In all respect of the comprehensive experiments, the suggested model outperformed the methods of ED and DTW.