• 제목/요약/키워드: Non-extraction

검색결과 1,067건 처리시간 0.023초

고종시 감껍질의 추출조건에 따른 항산화 활성 (Changes in the Antioxidant Potential of Persimmon Peel Extracts Prepared by Different Extraction Methods)

  • 정명진;진순우;화성용;방희옥;한동문;전지영;화세경
    • 한국약용작물학회지
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    • 제27권3호
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    • pp.186-193
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    • 2019
  • Background: Astringent persimmon (Diospyros kaki Thunb. cv. Kojongsi) peels are by-products of dried persimmons. This study aimed to evaluate the antioxidant activities of Kojongsi persimmon peel (KPP) extracts prepared by 15 different extraction methods: 5 heating durations (0.5 - 2.5 h) at 3 heating temperatures (50, 70, and $90^{\circ}C$). Methods and Results: An increase in heating temperature increased the antioxidant effect of KPP extracts. Those prepared by heating at 1 h had the highest total phenol content, regardless of the heating temperature. In addition, the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity and cell-protective effects against $H_2O_2-induced$ oxidative stress were dependent on the total phenol contents of the extract. However, the KPP-induced increased in catalase expression was dependent on heating temperature and duration. Conclusions: These results suggest that extraction by heating at $90^{\circ}C$ for 1 h may enhance KPP's antioxidant effects, which mainly involve non-enzymatic antioxidant systems.

Non-inferiority study of the efficacy of two hyaluronic acid products in post-extraction sockets of impacted third molars

  • Yang, Hyunwoo;Kim, Junghun;Kim, Jihong;Kim, Dongwook;Kim, Hyung Jun
    • Maxillofacial Plastic and Reconstructive Surgery
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    • 제42권
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    • pp.40.1-40.5
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    • 2020
  • Background: Hyaluronic acid (HA) is well known to exert an anti-inflammatory effect during oral wound healing and is commonly applied after tooth extraction. However, no double-blind randomized controlled study comparing two hyaluronate mouthwash products has been conducted so far. The aim of this study was to comparatively analyze the efficacy of Mucobarrier® and Aloclair® in terms of clinical symptoms. Results: A total of 112 patients were randomly assigned to assess the degree of discomfort, pain reduction, redness, burning sensation, and swelling between two groups on the day of surgery and 7 days later in a double blind test, with a total 56 Aloclair patients and 56 Mucobarrier patients. There was no statistically significant difference in the overall discomfort, degree of pain reduction, redness, burning sensation, and swelling between the Mucobarrier and Aloclair groups. Conclusion: The local application of hyaluronic acid mouth wash after wisdom tooth extraction is beneficial in reducing overall discomfort and pain reduction, and the clinical utility of Mucobarrier® is no different from Aloclair®. Trial registration: Institutional Review Board of Yonsei University College of Dentistry, 2-2018-0036. Registered 10 September 2018-prospectively registered, https://eirb.yuhs.ac/

Estimation of Automatic Video Captioning in Real Applications using Machine Learning Techniques and Convolutional Neural Network

  • Vaishnavi, J;Narmatha, V
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.316-326
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    • 2022
  • The prompt development in the field of video is the outbreak of online services which replaces the television media within a shorter period in gaining popularity. The online videos are encouraged more in use due to the captions displayed along with the scenes for better understandability. Not only entertainment media but other marketing companies and organizations are utilizing videos along with captions for their product promotions. The need for captions is enabled for its usage in many ways for hearing impaired and non-native people. Research is continued in an automatic display of the appropriate messages for the videos uploaded in shows, movies, educational videos, online classes, websites, etc. This paper focuses on two concerns namely the first part dealing with the machine learning method for preprocessing the videos into frames and resizing, the resized frames are classified into multiple actions after feature extraction. For the feature extraction statistical method, GLCM and Hu moments are used. The second part deals with the deep learning method where the CNN architecture is used to acquire the results. Finally both the results are compared to find the best accuracy where CNN proves to give top accuracy of 96.10% in classification.

Hiding Sensitive Frequent Itemsets by a Border-Based Approach

  • Sun, Xingzhi;Yu, Philip S.
    • Journal of Computing Science and Engineering
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    • 제1권1호
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    • pp.74-94
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    • 2007
  • Nowadays, sharing data among organizations is often required during the business collaboration. Data mining technology has enabled efficient extraction of knowledge from large databases. This, however, increases risks of disclosing the sensitive knowledge when the database is released to other parties. To address this privacy issue, one may sanitize the original database so that the sensitive knowledge is hidden. The challenge is to minimize the side effect on the quality of the sanitized database so that non-sensitive knowledge can still be mined. In this paper, we study such a problem in the context of hiding sensitive frequent itemsets by judiciously modifying the transactions in the database. Unlike previous work, we consider the quality of the sanitized database especially on preserving the non-sensitive frequent itemsets. To preserve the non-sensitive frequent itemsets, we propose a border-based approach to efficiently evaluate the impact of any modification to the database during the hiding process. The quality of database can be well maintained by greedily selecting the modifications with minimal side effect. Experiments results are also reported to show the effectiveness of the proposed approach.

Enhanced SIFT Descriptor Based on Modified Discrete Gaussian-Hermite Moment

  • Kang, Tae-Koo;Zhang, Huazhen;Kim, Dong W.;Park, Gwi-Tae
    • ETRI Journal
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    • 제34권4호
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    • pp.572-582
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    • 2012
  • The discrete Gaussian-Hermite moment (DGHM) is a global feature representation method that can be applied to square images. We propose a modified DGHM (MDGHM) method and an MDGHM-based scale-invariant feature transform (MDGHM-SIFT) descriptor. In the MDGHM, we devise a movable mask to represent the local features of a non-square image. The complete set of non-square image features are then represented by the summation of all MDGHMs. We also propose to apply an accumulated MDGHM using multi-order derivatives to obtain distinguishable feature information in the third stage of the SIFT. Finally, we calculate an MDGHM-based magnitude and an MDGHM-based orientation using the accumulated MDGHM. We carry out experiments using the proposed method with six kinds of deformations. The results show that the proposed method can be applied to non-square images without any image truncation and that it significantly outperforms the matching accuracy of other SIFT algorithms.

Survey Effects of Oil Income on Nonoil Export and Effort for Decline in Dependence to Oil Income

  • Varahrami, Vida
    • 동아시아경상학회지
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    • 제4권4호
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    • pp.21-23
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    • 2016
  • There are so much oil and gas reserves in Iran. Therefore extraction from these reserves and sell extracted oil and gas in international markets causes to high oil income for Iran. Especially in some years which oil price increases, our oil income was too high. In this paper, we want to reveal that, high oil income is not cause to rise of nonoil export. For this aim, we use from data of 1971-2013 and with Johansen co-integration test and Error Correction Model (ECM) extract short run and long run relations. Results of estimation reveal that in Iran high oil income is not cause to many non oil exports in long run and short run. Therefore, we should allocate oil income to import industrial machines and reallocate them to agriculture and industrial sectors which causes to raise national production which will cause to high non oil export. Then, in this condition, our needy exchanges are provided from non oil export and our dependence to oil income will be declined.

Sparse NMF에 의한 클러스터링 (Clustering Effects in Sparse NMF(Non-negative Matrix Factorization))

  • 오상훈
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2008년도 춘계 종합학술대회 논문집
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    • pp.92-95
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    • 2008
  • 입력에서 특징을 추출하는 유용한 방법으로 NMF(Non-nagetive Matrix Factorization)이 제안되었다. NMF를 적용하면 고차원의 데이터가 저차원의 특징에 기반한 형태로 변형이 된다. 이 경우 클러스터링 효과도 같이 나타나는데, 최근에 Sparse NMF가 이러한 효과를 더 잘 보인다고 알려졌다. 이 논문에서는 숫자 영상 신호에 대하여 NMF와 Sparse NMF를 적용시켜 이러한 클러스터링 효과를 비교하여 보았다.

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Feature Extraction of Non-proliferative Diabetic Retinopathy Using Faster R-CNN and Automatic Severity Classification System Using Random Forest Method

  • Jung, Younghoon;Kim, Daewon
    • Journal of Information Processing Systems
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    • 제18권5호
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    • pp.599-613
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    • 2022
  • Non-proliferative diabetic retinopathy is a representative complication of diabetic patients and is known to be a major cause of impaired vision and blindness. There has been ongoing research on automatic detection of diabetic retinopathy, however, there is also a growing need for research on an automatic severity classification system. This study proposes an automatic detection system for pathological symptoms of diabetic retinopathy such as microaneurysms, retinal hemorrhage, and hard exudate by applying the Faster R-CNN technique. An automatic severity classification system was devised by training and testing a Random Forest classifier based on the data obtained through preprocessing of detected features. An experiment of classifying 228 test fundus images with the proposed classification system showed 97.8% accuracy.

Two new relationships for slip velocity and characteristic velocity in a non-center rotating column

  • Torkaman, Rezvan;Heydari, Mehran;Cheshmeh, Javad Najafi;Heydari, Ali;Asadollahzadeh, Mehdi
    • Nuclear Engineering and Technology
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    • 제54권8호
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    • pp.2809-2818
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    • 2022
  • In this investigation work, liquid-liquid extraction (L.L.E) through three distinctive frameworks have been examined for assurance of slip velocity (S.V), and characteristic velocity (C.V) in a non-center rotating column (N.C.R.C) with a wide extend of factors. Three double frameworks with distinctive interfacial tension comprising of toluene-water (high interfacial tension), n-butyl acetate-water (medium interfacial tension), and n-butanol-water (low interfacial tension) were investigated for tests. Two common relationships for the expectation of S.V and C.V, including phase stream rates, rotor speed, column geometry additionally physical properties, are displayed. The recommended relationships were compared with test information gotten from the writing and the display examination. Findings of this study, the present proposed correlations are more accurate than those previously reported.

오존수로 세척한 상어연골로부터 Crude Chondroitin Sulfate의 열수추출 (Hot Water Extraction of Crude Chondroitin Sulfate from Shark Cartilage Treated with Ozone Water)

  • 정유경;신경옥;신종욱;노홍균;김순동
    • 한국해양바이오학회지
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    • 제2권3호
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    • pp.149-154
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    • 2007
  • 상어연골에서 발생하는 갈변과 냄새를 제거하기 위한 오존수 세척효과와 crude chondroitin sulfate의 추출특성을 조사하기 위하여 알칼리 및 열수추출 효과를 조사하였다. SC 분말을 용존 오존농도 0.3 ppm의 오존수로 세척한 결과 일반성분의 함량에는 영향을 미치지 않으면서 $L^*$값은 증가하고 $a^*$, $b^*$값은 감소되어 탈색효과가 뚜렷하였다. 또한 ammonia 유사취가 크게 감소되었으며 종합적 기호도가 크게 향상되었다. NaOH에 의한 CS의 최적 추출농도는 1 N이었으며 최적 추출시간은 $100^{\circ}C$에서 120분이었고 이때의 수율은 10.02%이었다. $100^{\circ}C$의 열수로 7회 반복추출 할 경우 1 N NaOH 추출수율과 대등하였다.

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