• Korean Journal of Plant Resources
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• v.34 no.3
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• pp.223-248
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• 2021

We conducted a taxonomic study and agricultural environmental risk assessments of 41 putative invasive alien plants designated by the Ministry of Environment in 2016. In order to achieve the goal, we carried out the field survey four times including the United States, Australia, and Mexico, and investigated specimens, literature, and other information including seed morphology, classification key, and habitat conditions. In this study, we reported the taxonomic characters, ecological risk, and weed risk assessment of 41 putative invasive alien plants, and suggested significant information about 11 species to contribute to establish solutions of regulation management for putative invasive alien plants - Spirodela punctata (G.Mey.) C.H.Thomps. (Araceae), Sagittaria graminea Michx. (Alismataceae), Elodea nuttallii (Planch.) H.St. John, Hydrocharis morsus-ranae L., Stratiotes aloides L. (Hydrocharitaceae), Eichhornia azurea (Swartz) Kunth, Monochoria hastata (L.) Solms (Pontederiaceae), Aegilops tauschii Coss. (Poaceae), Myriophyllum heterophyllum Michx. (Haloragaceae), Bunias orientalis L. (Brassicaceae), and Heracleum sosnowskyi Manden. (Apiaceae).

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.1
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• pp.32-38
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• 1993

In this paper a effective classification method for character recognition is proposed. The existing classification methods select candidates by comparing an unknown input character, with all the standard patterns based on the similarity measur. The proposed method, however, groups similiar characters together and uses their average distance as representative value of the group. We divided the character region into several sub-region and applied ISODATA algorithm to partial vectors of each sub-region to anstruct appropriate number of groups. After computing the distance between partial feature vector and its mapping group, we could collect all the information of input character ultimately. The proposed method showed improvement in the processing speed and certainty in classification than the existing methods.

• Animal Systematics, Evolution and Diversity
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• v.9 no.1
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• pp.25-34
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• 1993

Several osteological characters of 45 species belonging to 26 genera and 4 subfamilies in th family Gobiidae were surveyed based on 348 specimens collected from April, 1984 to September, 1992 in the southern part of Korea. The characters include the following: first dorsal-fin pterygiophore formula, vertebral number, epural number, and number of anal-fin pterygiophores anterior to the first haemal spine. The first dorsal-fin pterygiophore formula and epural number showed considerable stability at the generic level, and the apeared useful characters at the species level. Among them, the epural number used formerly to distinguish gobiid subfamilies was considered to be unimpotant taxonomic character in the classification of the subfamily Gobiinae.

• The Journal of the Acoustical Society of Korea
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• v.15 no.6
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• pp.16-25
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• 1996

In this paper, we designed the chip which can classify the Korean characters using CAM(Content Addressable Memory). A high-speed OCR has been implemented by software to recognize the characters. However, it is difficult to process in real-time. The pipelined hardware implementation is one of the solution to recognize the characters in real-time by using the parallel processing techniques. We used the CAM which has the function of high-speed parallel-match to implement easily and twenty reference patterns are used for comparison. The chip has been evaluated result using DLAB of DAZIX. The simulation results have shown that the process speed was $1.6{\mu}s$ per character. Also, we programed using C-language and compared the results.

• Korean Journal of Plant Resources
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• v.33 no.3
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• pp.200-219
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• 2020

We performed taxonomic reviews and habitat circumstances survey for 41 un-introduced environmentally harmful plants (as designated by the Ministry of Environment, Korea in 2016). For this purpose, we investigated plant specimens from several herbaria and performed a field survey in the southeastern region of the United States. Base on the result, we presented the most comprehensive results of weed risk evaluation and taxonomic description up to now as well as classification keys for 11 species to apply the regulation management of putative invasive alien species - Centaurea maculosa Lam., Centaurea diffusa Lam., Mikania micrantha Kunth. (Asteraceae), Cenchrus echinatus L., Neyraudia reynaudiana (Kunth) Keng ex Hitchcock, Brachiaria mutica (Forsskål) Stapf, Vulpia bromoides (L.) Gray, Lolium persicum Boissier & Hohennacker, Setaria palmifolia (J. Konig) Stapf (Poaceae), Prosopis glandulosa Torr. (Fabaceae), Fallopia baldschuanica (Regel) Hobub. (Polygonaceae).

• Korean Journal of Plant Resources
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• v.34 no.6
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• pp.616-632
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• 2021

We performed taxonomic reviews and habitat circumstances survey for 41 un-introduced environmentally harmful plants (as designated by the Ministry of Environment, Korea in 2016). And we investigated plant specimens from several herbaria and performed a field survey in the southeastern region of the United States. Based on the result, we presented the most comprehensive results of weed risk evaluation and taxonomic description up to now as well as classification keys for 11 species to apply the regulation management of putative invasive alien species - Senecio madagascariensis Poir., Sphagneticola trilobata (L.) Pruski, Ageratina riparia (Regel) R.M. King & H. Rob. (Asteraceae), Andropogon gayanus Kunth (Poaceae), Echinocystis lobata (Michx.) Torr. & A. Gray (Cucurbitaceae), Salvinia minima Baker (Salviniaceae), Vincetoxicum rossicum (Kleopow) Barbar. (Asclepiadaceae), Asparagus asparagoides (L.) Druce (Asparagaceae), Alternanthera pungens Kunth (Amaranthaceae), Salpichroa origanifolia (Lam.) Thell., and Lycium ferocissimum Miers (Solanaceae).

• Journal of the Korean Society for Library and Information Science
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• v.40 no.3
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• pp.151-173
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• 2006

The purpose of this study is to make out a draft for the standard classification of the National Knowledge and Information Resources. As the result of the Study the standard classification system of the national knowledge and information resources, named "Knowledge Classification 'KC' is suggested. KC consists of 3 classification systems classification by subject, type of resources and type of media. The classification by subject has 12 main classes, and each main class has divisions. Main classes consist each of major discipline or group of related disciplines. The type of resources is classified by 10 types of content, likewise numbered 0-9, and the media of knowledge are classified by 8 types. likewise 0-7. In the Practice the notation always consists of 2 characters and 2 digits. The first character designate main class and the second character designate division. The first number designate the type of resources and the second number designate the type of media.

• IE interfaces
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• v.13 no.2
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• pp.188-194
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• 2000

A pattern recognition system is proposed to recognize characters in any type of Giro. The system consist of the character segmentation and the character recognition. Positional features from two round markers at the upper-right part and lower-left part of Giro is used for extracting character strings from images and RLE analysis is used if there are no round markers. A multi step combined method, which use a structural method and a statistical method, is used to improve recognition. The structural method apply rules on each characters, whereas a statistical method gives a different weighting vector to each pixel for improving the classification performance in regard to noises and distortions. The experimental results show that the proposed combined method has higher recognition rate, over than 98% even in cases that images are rotated about 10 degrees as well as have noises.

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.11
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• pp.1782-1793
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• 1989

Stroke crossing number, syntactic pattern recognition procedure, top down recognition structure, and heuristic approach are studied for the Korean text recognition. We propose new algorithms: 1)Korean vowel seperation using limited scanning method in the Korean characters, 2) extracting strokes using stroke width method, 3) stroke crossing number and its properties, 4) average, standard deviation, and mode of stroke crossing number, and 5) classification and recognition methods of limited chinese character. These are studied with computer simuladtions and experiments.

• Journal of KIISE:Software and Applications
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• v.35 no.12
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• pp.774-779
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• 2008

In this work, we describe comments classification system using topic signature. Topic signature is widely used for selecting feature in document classification and summarization. Comments are short and have so many word spacing errors, special characters. We firstly convert comments into 7-gram. We consider the 7-gram as sentence. We convert the 7-gram into 3-gram. We consider the 3-gram as word. We select key feature using topic signature and classify new inputs by the Naive Bayesian method. From the result of experiments, we can see that the proposed method is outstanding over the previous methods.