• Title/Summary/Keyword: difference value extraction

Search Result 177, Processing Time 0.024 seconds

Effect of preemptive intravenous ibuprofen on postoperative edema and trismus in third molar tooth extraction: A randomized controlled study

  • Gulnahar, Yakup;Kupeli, Ilke
    • Journal of Dental Anesthesia and Pain Medicine
    • /
    • v.18 no.3
    • /
    • pp.161-167
    • /
    • 2018
  • Background: This study aimed to evaluate the anti-inflammatory efficacy of preemptive intravenous ibuprofen on inflammatory complications such as edema and trismus in patients undergoing impacted mandibular third molar surgery. Methods: Sixty patients were included and divided into three groups (800 mg IV ibuprofen + 50 mg dexketoprofen, 800 mg IV ibuprofen, and control). In all patients, preoperative hemodynamic values were recorded before the infusions. The operation was started at 15-min post-infusion. Evaluation of edema size on the face and mouth opening (trismus) was conducted in the preoperative period, and at postoperative 48 h and 1 week. Results: No difference was determined among the groups in trismus and edema size in postoperative measurements (P > 0.05). There was a difference between group 2 and group 3 only in measurement value of tragus-corner of the mouth on the postoperative day 2 (P < 0.05). A difference was found between the measurement values of trismus preoperatively and at preoperative day 2, and between postoperative day 2 and 1 week in group 3 based on time (P < 0.05). In group 3, edema on the face on postoperative day 2 increased significantly compared to that in the preoperative period (P < 0.001); in addition, edema increased significantly in groups 1 and 2 in the postoperative period but was less than that in group 3 (P < 0.001). Conclusions: In this study, intravenous ibuprofen was determined to be more effective alone or in combination in alleviating trismus and to better limit the postoperative edema.

Analysis of naturally Dyed Textile Fabrics by using Aronia Extract (아로니아 추출물에 의한 직물의 천연염색과 염액의 Spectrum 분석)

  • Won, Ah Young;Kim, Jongjun
    • Journal of Fashion Business
    • /
    • v.22 no.1
    • /
    • pp.124-134
    • /
    • 2018
  • This study examined the dyeing characteristics and spectrum of cotton and silk by using dyeing solution extracted from aronia. The value $L^{\ast}$ which indicates the brightness of cotton regardless of mordant increases with increasing pH from pH 3.5 to pH 10.5. The color difference value(${\Delta}E$) of the cotton was generally high in pH 3.5 regardless of mordant existence. The silk showed the highest ${\Delta}E$ value in pH 3.5 dye solution as cotton did. On the other hand, the silk with mordant dyed showed the highest ${\Delta}E$ value in pH 7. Silk fabrics dyed with Aronia solution turns out red in pH 3.5, blue in pH 7 and yellow in pH 10.5. This is because of the amino acid, one of the silk ingredients, combines with a part of anthocyanin to show blue. As the result of the spectrum measurement, the maximum absorption wavelength of Aronia solution was increased in the order of pH 10.5, pH 3.5 and pH 7, regardless of extraction temperature and mordant. The measurement results of color fastness to washing and color fastness to light are generally low. Therefore, there is a need for further study to improve color fatness in the future.

A Background Segmentation and Feature Point Extraction Method of Human Motion Recognition (동작인식을 위한 배경 분할 및 특징점 추출 방법)

  • You, Hwi-Jong;Kim, Tae-Young
    • Journal of Korea Game Society
    • /
    • v.11 no.2
    • /
    • pp.161-166
    • /
    • 2011
  • In this paper, we propose a novel background segmentation and feature point extraction method of a human motion for the augmented reality game. First, our method transforms input image from RGB color space to HSV color space, then segments a skin colored area using double threshold of H, S value. And it also segments a moving area using the time difference images and then removes the noise of the area using the Hessian affine region detector. The skin colored area with the moving area is segmented as a human motion. Next, the feature points for the human motion are extracted by calculating the center point for each block in the previously obtained image. The experiments on various input images show that our method is capable of correct background segmentation and feature points extraction 12 frames per second.

Extraction of Smocking in Elevator Using Robust Scene Change Detection Method (강건한 장면 전환 검출 기법을 이용한 엘리베이터 내의 흡연 추출)

  • Lee, Kang-Ho;Shin, Seong-Yoon;Rhee, Yang-Won
    • Journal of the Korea Society of Computer and Information
    • /
    • v.18 no.10
    • /
    • pp.89-95
    • /
    • 2013
  • Smoking in elevators is a criminal offense that is included in a misdemeanor. Because of that smoking in elevators can be very critical for our growing children and weak women. In this paper, we would like to extract criminals doing this criminal offense to smoke in elevators. Extraction method detect difference value using modified color-X2-test and it was normalized. Next, we find frames that has occurred scene change in successive frames using the four-step algorithm of scene change detection. Finally, we present the method of smoking image retrieval and extraction in stored large amount of video. In the experiment, we show process and number of scene change detection, and the number of video searched per retrieval time. The extracted smoking video is to submit as evidence for the police or court.

Structural similarity based efficient keyframes extraction from multi-view videos (구조적인 유사성에 기반한 다중 뷰 비디오의 효율적인 키프레임 추출)

  • Hussain, Tanveer;Khan, Salman;Muhammad, Khan;Lee, Mi Young;Baik, Sung Wook
    • The Journal of Korean Institute of Next Generation Computing
    • /
    • v.14 no.6
    • /
    • pp.7-14
    • /
    • 2018
  • Salient information extraction from multi-view videos is a very challenging area because of inter-view, intra-view correlations, and computational complexity. There are several techniques developed for keyframes extraction from multi-view videos with very high computational complexities. In this paper, we present a keyframes extraction approach from multi-view videos using entropy and complexity information present inside frame. In first step, we extract representative shots of the whole video from each view based on structural similarity index measurement (SSIM) difference value between frames. In second step, entropy and complexity scores for all frames of shots in different views are computed. Finally, the frames with highest entropy and complexity scores are considered as keyframes. The proposed system is subjectively evaluated on available office benchmark dataset and the results are convenient in terms of accuracy and time complexity.

Quality Properties of Conger Eel (Conger myriaster) Oils Extracted by Supercritical Carbon Dioxide and Conventional Methods (초임계 이산화탄소 및 유기용매를 이용하여 추출된 붕장어(Conger myriaster) 오일의 품질특성)

  • Park, Jin-Seok;Cho, Yeon-Jin;Jeong, Yu-Rin;Chun, Byung-Soo
    • Clean Technology
    • /
    • v.25 no.4
    • /
    • pp.275-282
    • /
    • 2019
  • In this study, the extraction of Conger myriaster oil by using supercritical carbon dioxide (SC-CO2) and organic solvent was investigated. The extraction conditions conducted for SC-CO2 varied for pressure (25, 30 MPa) and temperature (45, 55 ℃), while the SC-CO2 flow rate was kept constant during the experiment (27 g min-1) and hexane was used as a conventional organic solvent. The extraction yield indicated that the best extraction condition would be SC-CO2 at 55 ℃ and 30 MPa, resulting in the highest yield of 37.73 ± 0.14%. The oils were characterized for their fatty acid (FAs) composition using gas chromatography, while it was revealed that the major FAs were mystric acid, palmitoleic acid, oleic acid, electroosapentaenoic acid (EPA), and docosahexaenoic acid (DHA). The oxidation stability of the extracted C. myriaster oil was evaluated by measuring the acid value, peroxide value, and free fatty acid. The best oxidative stability was obtained from SC-CO2 extracted oil at 30 MPa and 55 ℃. There was a significant difference in the color properties of the SC-CO2 and hexane extracted oils, with the SC-CO2 extracted oil showing better chromaticity than the oil extracted using hexane. Extracting oils from C. myriaster with SC-CO2 could bring better economic benefits than using organic solvents. When supercritical carbon dioxide was used, there was no post-treatment process; thus, it was confirmed that this is a more environmentally friendly oil extraction method.

Optimal Extraction Condition of Anthocyanins in Soybean (Glycine max) with Black Seed Coats (검정콩 종피 함유 안토시아닌의 최적 추출조건)

  • Choung, Myoung-Gun;Hwang, Young-Sun;Lee, Hyeon-Jin;Choi, Su-San-Na;Lim, Jung-Dae;Kang, Sung-Taeg;Han, Won-Young;Baek, In-Youl;Kim, Hyeun-Kyeung
    • KOREAN JOURNAL OF CROP SCIENCE
    • /
    • v.53 no.1
    • /
    • pp.110-117
    • /
    • 2008
  • Soybeans (Glycine max) with a black seed coat have been widely utilized as food source and as a medicinal herbs in Korea. The pigmentation in the seed coat of black soybean is due to accumulate anthocyanins in the epidermis palisade layer. The anthocyanin content and composition of the black soybean seed coat are considered as a standard. of quality evaluation of black soybean. The main objective of this study was to investigate the optimal condition for an extraction method of anthocyanins and compare anthocyanin quantity and composition within black soybean varieties and germplasms. In the test of extraction solvent, absorbance at 530 nm and Hunter's a value were increased as increasing the concentration of MeOH, but Hunter's Land b values were the exact opposite of absorbance and Hunter's a values. There was no significant difference for anthocyanin contents from 1% HCl - $H_2O$ to 1% HCl - 80% MeOH. In the aspects of anthocyanin contents and HPLC peak resolution, 1% HCl - 20% MeOH extraction solution was the most suitable solvent. Among the 5 kinds of extraction method using 1% HCl - 20% MeOH solution, the anthocyanin contents of room temperature extraction at 72 h was the highest among the methods. High extraction temperature, sonication and reflux method influenced on the decrease of anthocyanin contents because of breakdown of anthocyanins. There was no significant difference for extraction time between 12 h and 24 h. However, the optimal extraction condition were at room temperature for 12 h. The anthocyanin contents in seed coats of black soybean were determined on the basis of HPLC peak area at 530 nm. Ten black soybean varieties and germplasms were tested with optimal conditions founded in this study. On the basis of antocyanin component, these can be classified into three groups; C3G, C3G + D3G and C3G + D3G + Pt3G. The total anthocyanin content in seed coats ranged from 1.58 to 10.62 mg/g of seed. The total anthocyanin content of the variety "Geomjeongol" was about 7 times higher than that of variety "Heugchong". Information for extraction method and diversity in antocyanin of soybean seed coats can be used for future research for germplasm evaluation and development of high quality black soybean varieties.

Intelligent Hexapod Mobile Robot using Image Processing and Sensor Fusion (영상처리와 센서융합을 활용한 지능형 6족 이동 로봇)

  • Lee, Sang-Mu;Kim, Sang-Hoon
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.15 no.4
    • /
    • pp.365-371
    • /
    • 2009
  • A intelligent mobile hexapod robot with various types of sensors and wireless camera is introduced. We show this mobile robot can detect objects well by combining the results of active sensors and image processing algorithm. First, to detect objects, active sensors such as infrared rays sensors and supersonic waves sensors are employed together and calculates the distance in real time between the object and the robot using sensor's output. The difference between the measured value and calculated value is less than 5%. This paper suggests effective visual detecting system for moving objects with specified color and motion information. The proposed method includes the object extraction and definition process which uses color transformation and AWUPC computation to decide the existence of moving object. We add weighing values to each results from sensors and the camera. Final results are combined to only one value which represents the probability of an object in the limited distance. Sensor fusion technique improves the detection rate at least 7% higher than the technique using individual sensor.

Physicochemical Properties and Composition of Ginsenosides in Red Ginseng Extract as Revealed by Subcritical Water Extraction (아임계수 추출에 의한 홍삼 추출물의 진세노사이드 조성 및 이화학적 특성)

  • Lee, Joo-Mi;Ko, Min-Jung;Chung, Myong-Soo
    • Korean Journal of Food Science and Technology
    • /
    • v.47 no.6
    • /
    • pp.757-764
    • /
    • 2015
  • Red ginseng was treated by subcritical water extraction (SWE) whose two parameters were the extraction temperature ($105-150^{\circ}C$) and time (5-20 min) under a high pressure. The oBrix value, solid content, color difference, and turbidity of the red ginseng extract increased with increasing extraction time and temperature, while the pH decreased. The total concentration of ginsenosides in the red ginseng extract was maximal at $120^{\circ}C$ and 20 min. The concentrations of ginsenosides Rg3 and Rh1 were maximal at $150^{\circ}C$ and 15 min. The concentrations of Rg3 and Rh1 were respectively 3.5-5 times and 2-2.5 times higher than those treated by conventional extraction methods with hot water, ethanol, and methanol. SWE is a particularly effective method for the selective extraction of less-polar ginsenosides such as Rg3 which is well known to exert strong anticancer effects.

Extraction of an Effective Saliency Map for Stereoscopic Images using Texture Information and Color Contrast (색상 대비와 텍스처 정보를 이용한 효과적인 스테레오 영상 중요도 맵 추출)

  • Kim, Seong-Hyun;Kang, Hang-Bong
    • Journal of Korea Multimedia Society
    • /
    • v.18 no.9
    • /
    • pp.1008-1018
    • /
    • 2015
  • In this paper, we propose a method that constructs a saliency map in which important regions are accurately specified and the colors of the regions are less influenced by the similar surrounding colors. Our method utilizes LBP(Local Binary Pattern) histogram information to compare and analyze texture information of surrounding regions in order to reduce the effect of color information. We extract the saliency of stereoscopic images by integrating a 2D saliency map with depth information of stereoscopic images. We then measure the distance between two different sizes of the LBP histograms that are generated from pixels. The distance we measure is texture difference between the surrounding regions. We then assign a saliency value according to the distance in LBP histogram. To evaluate our experimental results, we measure the F-measure compared to ground-truth by thresholding a saliency map at 0.8. The average F-Measure is 0.65 and our experimental results show improved performance in comparison with existing other saliency map extraction methods.