• Title/Summary/Keyword: 수염

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New Record of Macromyzus woodwardiae(Sternorhyncha, Aphididae) on Cyrtomium falcatum from Korea (도깨비고비에 기생하는 한국미기록 고비수염진딧물의 보고)

  • Lee, seunghwan
    • Animal Systematics, Evolution and Diversity
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    • v.18 no.1
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    • pp.127-133
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    • 2002
  • Macromyzus woodwardiae(Takahashi, 1921) is recognized on Cyrdomium falcatum(L.f.) C. Presl (Dryopteridaceae), a htherto unknown host plant, from Jeju Island, Korea. Apterous viviparous female and alate viviparous female are described. This is the first record of genus Macromyzus in Korea.

Comparative Morphology of the Mouthparts of the Curculionoidea(Coleoptera), their Feeding Mechanism and Relationship to Classification. Part II. Family Apionidae (바구미상과(딱정벌레목) 갑충 구기의 비교형태와 그 섭식기작과 분류와의 관계에 대한 연구. PartII. 창주둥이바구미과)

  • Bae, Jeong-Deog;Park, Sang-Ock;Lee, Jong-Eun
    • Korean Journal of Environmental Biology
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    • v.18 no.1
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    • pp.145-151
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    • 2000
  • The mouthparts of the Apionidae are almost of the same structures as in the Curculionidae feeding soft plant tissues, and two subfamilies in the current system are well supported by their structures. The subfamilies Apioninae and Nanophyinae are clearly characterized as follows. In Apioninae, clypeal margin sinuate; mandibles meet anteropo-steriorly when retracted and more or less curved internally; maxillary palpi two-segmented, with large palpiger; labial palpi one-segmented; prementum parallel-sided, longer than wide. In Nanophyinae, clypeal margin with two to three notches in the middle; mandibles meet anteroposteriorly when retracted and more or less curved internally; maxillary palpi three-segmented, palpiger about as great as stipes; labial palpi two-segmented, separated to each other by the apical protrusion of prementum; prementum about as long as wide. [Insecta, Coleoptera, Comparative morphology, Mouthparts, Apionidae].

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Some Observations on the Fine Structure of Korean Bat Livers (한국산 박쥐 간장의 미세구조적 고찰)

  • Choi, Byung-Jin;Uhm, Chang-Sub;Chang, Byung-Jun;Park, Chang-Hyun
    • Applied Microscopy
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    • v.31 no.4
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    • pp.375-383
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    • 2001
  • To understand the fine structure of Korean bat livers , the authors investigated the liver of four Korean bats; Rhinolephus ferrumequinum korai, Myotis macrodactylus, Myotis dauhentonii ussrinesis, and Murina leucogaster intermedia by transmission electron microscopy. The hepatocytes of Rhinolophus ferrumequinum korai had large-sized mitochondria and many peroxisomes. In the Myotis macrodactylus, juctional completes, especially desmosomes, were well developed. The Myotis daubentonii ussrinesis had many glycogen particles in the cytoplasm. Also, the space of Disse and sinusoidal spare was filled with amorphous materials. In the Murina leucogaster intemedia, basement membrane was prominent in the sinusoid, and no Kupffer and Ito cells were observed These results suggest the characteristic differences in the liver ultrastructure among Korean bats.

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Classification of bearded seals signal based on convolutional neural network (Convolutional neural network 기법을 이용한 턱수염물범 신호 판별)

  • Kim, Ji Seop;Yoon, Young Geul;Han, Dong-Gyun;La, Hyoung Sul;Choi, Jee Woong
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.2
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    • pp.235-241
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    • 2022
  • Several studies using Convolutional Neural Network (CNN) have been conducted to detect and classify the sounds of marine mammals in underwater acoustic data collected through passive acoustic monitoring. In this study, the possibility of automatic classification of bearded seal sounds was confirmed using a CNN model based on the underwater acoustic spectrogram images collected from August 2017 to August 2018 in East Siberian Sea. When only the clear seal sound was used as training dataset, overfitting due to memorization was occurred. By evaluating the entire training data by replacing some training data with data containing noise, it was confirmed that overfitting was prevented as the model was generalized more than before with accuracy (0.9743), precision (0.9783), recall (0.9520). As a result, the performance of the classification model for bearded seals signal has improved when the noise was included in the training data.