• Title/Summary/Keyword: Myanmar Characters

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Feature Extraction and Recognition of Myanmar Characters Based on Deep Learning (딥러닝 기반 미얀마 문자의 특징 추출 및 인식)

  • Ohnmar, Khin;Lee, Sung-Keun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.5
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    • pp.977-984
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    • 2022
  • Recently, with the economic development of Southeast Asia, the use of information devices is widely spreading, and the demand for application services using intelligent character recognition is increasing. This paper discusses deep learning-based feature extraction and recognition of Myanmar, one of the Southeast Asian countries. Myanmar alphabet (33 letters) and Myanmar numerals (10 numbers) are used for feature extraction. In this paper, the number of nine features are extracted and more than three new features are proposed. Extracted features of each characters and numbers are expressed with successful results. In the recognition part, convolutional neural networks are used to assess its execution on character distinction. Its algorithm is implemented on captured image data-sets and its implementation is evaluated. The precision of models on the input data set is 96 % and uses a real-time input image.

Morphological and molecular analysis of indigenous Myanmar mango (Mangifera indica L.) landraces around Kyaukse district

  • Kyaing, May Sandar;Soe, April Nwet Yee;Myint, Moe Moe;Htway, Honey Thet Paing;Yi, Khin Pyone;Phyo, Seinn Sandar May;Hlaing, Nwe Nwe Soe
    • Journal of Plant Biotechnology
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    • v.46 no.2
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    • pp.61-70
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    • 2019
  • There is vast genetic diversity of Myanmar Mangoes. This study mainly focused on indigenous thirteen different mango landraces cultivated in central area of Myanmar, Kyauk-se District and their fruit characteristics by 18 descriptors together with genetic relationship among them by 12 SSR markers. Based on the morpho-physical characters, a wide variation among accessions was found. Genetic characterization of thirteen mango genotypes resulted in the detection of 302 scorable polymorphic bands with an average of 4.33 alleles per locus and an average polymorphism information content (PIC) of 0.7. All the genotypes were grouped into two major clusters by UPGMA cluster analysis and a genetic similarity was observed in a range of 61 ~ 85%. This study may somehow contribute insights into the identification of regional mango diversity in Myanmar and would be useful for future mango breeding program.

Detection of Gnathostoma spinigerum Third-Stage Larvae in Snakeheads Purchased from a Central Part of Myanmar

  • Jung, Bong-Kwang;Lee, Jin-Ju;Pyo, Kyoung-Ho;Kim, Hyeong-Jin;Jeong, Hoo-Gn;Yoon, Cheong-Ha;Lee, Soon-Hyung;Shin, Eun-Hee;Chai, Jong-Yil
    • Parasites, Hosts and Diseases
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    • v.46 no.4
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    • pp.285-288
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    • 2008
  • To examine the infection status of freshwater fish with Gnathostoma spp. larvae in Myanmar, we purchased 15 snakeheads, Channa striatus, from a local market in a suburban area of Naypyidaw, the new capital city. Two larval gnathostomes were collected using an artificial digestion technique, and observed by a light microscope and a scanning electron microscope. The size of an intact larva was 2.65 mm long and 0.32 mm wide. The characteristic morphology of the larvae included the presence of a long esophagus (0.80 mm long), 2 pairs of cervical sacs (0.43 mm long), and a characteristic head bulb with 4 rows of hooklets. The number of hooklets in the 1st, 2nd, 3rd, and 4th row was 45, 48, 50, and 52, respectively. Based on these morphological characters, the larvae were identified as the advanced 3rd-stage larvae of Gnathostoma spinigerum. This is the first report of detection of G. spinigerum 3rd-stage larvae in the central part of Myanmar. Our study suggests that intake of raw meat of snakehead fish in Myanmar may result in human gnathostomiasis.

Larval Gnathostoma spinigerum Detected in Asian Swamp Eels, Monopterus albus, Purchased from a Local Market in Yangon, Myanmar

  • Chai, Jong-Yil;Sohn, Woon-Mok;Na, Byoung-Kuk;Park, Jong-Bok;Jeoung, Hoo-Gn;Hoang, Eui-Hyug;Htoon, Thi Thi;Tin, Htay Htay
    • Parasites, Hosts and Diseases
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    • v.53 no.5
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    • pp.619-625
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    • 2015
  • The present study was performed to determine the infection status of swamp eels with Gnathostoma sp. larvae in Myanmar. We purchased total 37 Asian swamp eels, Monopterus albus, from a local market in Yangon in June and December 2013 and 2014. All collected eels were transferred with ice to our laboratory and each of them was examined by the artificial digestion technique. A total of 401 larval gnathostomes (1-96 larvae/eel) were detected in 33 (89.2%) swamp eels. Most of the larvae (n=383; 95.5%) were found in the muscle. The remaining 18 larvae were detected in the viscera. The advanced third-stage larvae ($AdL_3$) were 2.3-4.4 mm long and 0.25-0.425 mm wide. The characteristic head bulb ($0.093{\times}0.221mm$ in average size) with 4 rows of hooklets, muscular long esophagus (1.025 mm), and 2 pairs of cervical sacs (0.574 mm) were observed by light microscopy. The average number of hooklets in the 1st, 2nd, 3rd, and 4th rows was 41, 45, 48, and 51, respectively. As scanning electron microscopic findings, the characteristic 4-5 rows of hooklets on the head bulb, a cervical papilla, tegumental spines regularly arranged in the transverse striations, and an anus were well observed. Based on these morphological characters, they were identified as the AdL3 of Gnathostoma spinigerum. By the present study, it has been confirmed for the first time that Asian swamp eels, M. albus, from Yangon, Myanmar are heavily infected with G. spinigerum larvae.

Amblovenatum immersum (Thelypteridaceae): A new record for the flora of Vietnam

  • SON, Doan Hoang;HAI, Do Van;QUANG, Bui Hong;CHEN, Cheng Wei;DUONG, La Anh;HIEU, Trinh Van;CHOUDHARY, Ritesh Kumar;LEE, Joongku
    • Korean Journal of Plant Taxonomy
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    • v.52 no.2
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    • pp.108-113
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    • 2022
  • Amblovenatum immersum (Blume) Mazumdar (Thelypteridaceae) is newly recorded in Vietnam. It is similar to A. terminans (Panigrahi) J. P. Roux in its woody rhizome and cristate spores but differs in terms of its plant size, lobed pinnae, lobed segments, veinlets, sori and indusia. It was previously found to exist in China, India, Indonesia, Malaysia, Myanmar, Philippines, Sri Lanka, and Thailand as well as in east Africa, tropical America, northern Australia and Micronesia. The present study provides a detailed description, photos, and line drawing of the species. Furthermore, a comparison of the diagnostic characters with the closely related species in Vietnam A. terminans is provided.

The Challenges of AI Ethics and Human Identity Reproduced by Global Content: Focusing on Narrative Analysis of Netflix Documentary (글로벌 콘텐츠가 재현하는 AI 윤리와 인간 정체성의 과제: 넷플릭스 다큐 <소셜딜레마>의 서사 분석을 중심으로)

  • Choi, Jong-Hwan;Lee, Hyun-Ju
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.548-562
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    • 2022
  • This study was conducted to diagnose the issues of AI ethics in global content and to discuss what kind of discourse is needed to strengthen human identity. To this end, the study selected Netflix original content "The Social Dilemma" for analysis and adopted narrative analysis as the research method. The analysis results confirmed that "Social Dilemma" showed the structure of a traditional current affairs documentary and mainly used experts and statistical data to develop the story. It also reinforced core content claims by enumerating domestic and foreign cases such as the 2021 Myanmar massacre and the spread of fake news. In addition, the relationship between the characters clearly revealed the binary opposition between developers and media companies as well as users and advertisers. For the solution to the problem, strong regulations on businesses and the suspension of social media use were reached. However, "The Social Dilemma" merely pointed out the misuse of AI technology and had a narrative that ignored human identity and social relationships. Such results raise the need for creating contents that emphasize the importance of human sociality, relationships, and learning ability in the age of AI.