The Experts below are selected from a list of 300 Experts worldwide ranked by ideXlab platform
Şinasi Yıldırımlı - One of the best experts on this subject based on the ideXlab platform.
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A new species of Viola L. (Violaceae) from South Anatolia
Botanical Journal of the Linnean Society, 2003Co-Authors: Muhittin Dinç, Yavuz Bağci, Şinasi YıldırımlıAbstract:A new species of Viola L., Viola yildirimlii M. Dinc & Y. Bagcisp. nov. from South Anatolia is described and illustrated. It is found on the rocky slopes of Aladag National Park, in the county of Adana, south Turkey, at an elevation of 1800 m. It belongs to Viola, subsect. Viola, and is similar to the Turkish endemics Viola isaurica Contandr. & Quezel and V. kizildaghensis M. Dinc & Ş. Yildirimli. Diagnostic morphologic characters for a detailed discrimination from two similar taxa and other Turkish Eflagellatae species are discussed. © 2003 The Linnean Society of London, Botanical Journal of the Linnean Society, 2003, 141, 477–482.
Heru Wahyu Herwanto - One of the best experts on this subject based on the ideXlab platform.
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facial emotion recognition based on Viola jones algorithm in the learning environment
2018 International Seminar on Application for Technology of Information and Communication, 2018Co-Authors: Kartika Candra Kirana, Slamet Wibawanto, Heru Wahyu HerwantoAbstract:An emotion is a trigger of learning success, so the learning should be adapting to the students' emotions. The most of popular approach is the acquisition of facial-based features. Therefore, we present facial emotion recognition based on the Viola-Jones Algorithm in the learning environment. Basically, the Viola-Jones algorithm is a face detection algorithm. However, we use facial-based features to detect face and recognize emotion, thus we applied rectangular feature and cascading AdaBoost algorithm which are the main concept of the Viola-Jones Algorithm in those both of process. In this study, we compare accuracy, precision, recall, and time-consuming of the Viola-Jones algorithm and our previous methods [1] using 50 UM's learning images in student emotion recognition. The accuracy, precision, recall, and time-consuming of Viola-Jones algorithm reach 0.74, 0.73, 0.76 and 15 seconds per frame, whereas our previous methods [1] reach 0.46, 0.48, 0.52, and 42 seconds per frame. In emotional recognition, we can conclude that the Viola jones algorithm is superior to our previous research.
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Emotion Recognition using Fisher Face-based Viola-Jones Algorithm
2018 5th International Conference on Electrical Engineering Computer Science and Informatics (EECSI), 2018Co-Authors: Kartika Candra Kirana, Slamet Wibawanto, Heru Wahyu HerwantoAbstract:In the form of the image integral, this primitive feature accelerates the performance of the Viola-Jones algorithm. However, the robust feature is necessary to optimize the results of emotion recognition. Previous research [11] has shown that fisher face optimized projection matrix in the low dimensional features. This feature reduction approach is expected to balance time-consuming and accuracy. Thus we proposed emotion recognition using fisher face-based Viola-Jones Algorithm. In this study, PCA and LDA are extracted to get the fisher face value. Then fisher face is filtered using Cascading AdaBoost algorithm to obtain face area. In the facial area, the Cascading AdaBoost algorithm re-employed to recognize emotions. We compared the performance of the original Viola jones and fisher face-based Viola jones using 50 images on the State University of Malang dataset by measuring the accuracy and time-consuming in the fps. The accuracy and time-consuming of the Viola-Jones algorithm reach 0.78 and 15 fps, whereas our proposed methods reach 0.82 and 1 fps. It can conclude that the fisher face-based Viola-jones algorithm recognizes facial emotion as more accurate than the Viola-jones algorithm.
Qin-er Yang - One of the best experts on this subject based on the ideXlab platform.
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a new species of Viola Violaceae from southern china
Botanical Journal of the Linnean Society, 2008Co-Authors: You-sheng Chen, Qin-er YangAbstract:A new stoloniferous violet from Guangdong, Guangxi and Hainan in southern China, Viola austrosinensis Y.S.Chen & Q.E.Yang sp. nov., is described and illustrated. This species has been previously misidentified as Viola kiangsiensis. Viola austrosinensis is somewhat similar to Viola sumatrana, but differs in a series of significant characters. © 2008 The Linnean Society of London, Botanical Journal of the Linnean Society, 2008, 158, 755–761.
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A new species of Viola L. (Violaceae) from Sichuan, China
Botanical Journal of the Linnean Society, 2005Co-Authors: You-sheng Chen, Qin-er YangAbstract:Viola muliensis Y.S. Chen & Q.E. Yang, a new species of Viola L. (Violaceae) from Sichuan, China, is described and illustrated. Viola muliensis is endemic to Muli County, south-western Sichuan. This new species has yellow flowers with very short spurs and belongs to subsection Brevicalcaratae W. Beck., section Dischidium Ging. It is distinguished from other related species by having pedatipartite leaves. © 2005 The Linnean Society of London, Botanical Journal of the Linnean Society, 2005, 149, 365–368.
Chen You-qiang - One of the best experts on this subject based on the ideXlab platform.
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Studies on Resveratrol Synthase Gene Transformation for Viola diffusa Ging.Mediated by Agrobacterium Tumefaciens
Biotechnology(faisalabad), 2009Co-Authors: Chen You-qiangAbstract:Objective: The optimization of the conditions on resveratrol synthase gene transformation for Viola diffusa Ging.mediated by Agrobacterium tumefaciens was discussed.Method: The leafstalk segments of Viola diffusa Ging.were used as experiment material by leaf disc method,studying some major factors on the transformation of resveratrol synthase gene by Agrobacterium tumefaciens.Result: The best adaptive condition was that bacterium concentration was OD600 0.3, infected time was 10 min and concentration of cef was 250 mg/L.After gene transformation the explants of Viola diffusa Ging.were placed on medium with 3.0 mg/L hygromycin for selection.Finally 9 anti-hygromycin transgenic seedlings were obtained and the transformation efficiency was 0.98%.Conclusion: The result would be the basis for the establishment of resveratrol synthase gene transformation system of Viola diffusa Ging.mediated by Agrobacterium tumefaciens.
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Cell suspension culture of Viola diffusa Ging.
Chinese Journal of Appplied Environmental Biology, 2000Co-Authors: Chen You-qiang, Dai Rongchun, Zhu Jinmao, Ye Bingying, Pan Daren, Chen RukaiAbstract:The conditions of cell suspension culture and growth kinetics of Viola diffusa Ging were studied. The results showed that the fittest inoculating quantity of Viola diffusa Ging in cell suspension culture was 2.0～3.5 g (50 mL). The fittest culture media were MS+2.0 mg/L ?2,4 D+1.0 mg/L ZT+300 mg/L LH+200/L sucrose (or glucose), with pH 5.8. The cell number development of Viola diffusa Ging during a culture course was similar to a “S” curve with apparent logarithmic phase. Contrast to the cell number, fresh weight ( m FW ) and dry weight ( m DW ) had no apparent logarithmic phase, but a gradually rising tendency appeared. There was also a relationship between cell multiplication and pH during the suspension cell culture of Viola diffusa Ging. Fig 3, Tab 2, Ref 12
Muhittin Dinç - One of the best experts on this subject based on the ideXlab platform.
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A new species of Viola L. (Violaceae) from South Anatolia
Botanical Journal of the Linnean Society, 2003Co-Authors: Muhittin Dinç, Yavuz Bağci, Şinasi YıldırımlıAbstract:A new species of Viola L., Viola yildirimlii M. Dinc & Y. Bagcisp. nov. from South Anatolia is described and illustrated. It is found on the rocky slopes of Aladag National Park, in the county of Adana, south Turkey, at an elevation of 1800 m. It belongs to Viola, subsect. Viola, and is similar to the Turkish endemics Viola isaurica Contandr. & Quezel and V. kizildaghensis M. Dinc & Ş. Yildirimli. Diagnostic morphologic characters for a detailed discrimination from two similar taxa and other Turkish Eflagellatae species are discussed. © 2003 The Linnean Society of London, Botanical Journal of the Linnean Society, 2003, 141, 477–482.
