• Journal of the korean veterinary medical association
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• v.21 no.1
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• pp.9-12
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• 1985

• JOURNAL OF ELECTRICAL WORLD
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• no.10 s.214
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• pp.48-51
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• 1994

• Nuclear industry
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• v.6 no.9 s.43
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• pp.60-60
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• 1986

• Digital Contents
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• no.10 s.149
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• pp.27-27
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• 2005

• Food Industry
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• s.34
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• pp.57-57
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• 1976

• Journal of the Korean Geographical Society
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• v.44 no.5
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• pp.605-623
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• 2009

This study is aimed to classify rainfall regions in Pakistan. Classification of rainfall regions is essential to understand rainfall patterns in Pakistan. Rainfall patterns have been investigated using a factor and cluster analysis technique by 10-days rainfall parameter. The data used here have been obtained from 32 specific weather stations of PMD (Pakistan Meteorological Department) for the period of January 1980 to December 2006. The results obtained from factor analysis provide three factors and these three factors accounts for 94.60% of the total variance. For a better understanding of rainfall regions, cluster analysis method has been applied. The clustering procedure is based on the Wards method algorithm. Overall, these rainfall regions have been divided into six groups. The boundary of the region is determined by the topology such as Baluchistan plateau, Indus plain, Hindu Kush and Himalaya ranges.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.5
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• pp.25-31
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• 2008

It is important for users to be confirming in e-Leaning system, because legitimate learner should be joined to the system for teaming and testing Thus, most system for authentication was verified using id and password with learner's id and password. In this case, It can be easy for hackers to steal learner's id and password. In addition, soma learner gets another to sit for the examination for one with another person id and password. For the solution like this problem it needs a biometrics authentication for complement. This method is required so much extra cost as well as are an unwanted concern. Therefore, we proposed keystroke technique to decide which learners are righteous or unlawful in this paper. In addition, we applied statistics and neural network for the performance of keystroke system. As a result, the performance of FAR and FRR in keystroke authentication was increased by proposed method.

• Parasites, Hosts and Diseases
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• v.24 no.1
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• pp.1-11
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• 1986

Larval anisakids found in the yellow corvina (Pseudosciaena manchurica), a marine fish caught in the Yellow Sea, were classified by their morphological types. Total 1, 068 anisakid larvae were collected from 30 fish examined, with the average number per fish of 35.6. They were classified into Anisakis type I larvae of Berland (859 in number, 80.4%), Contracaecum type A of Koyama et at. (13, 1.2%), Contra caecum type C'(new type) (55, 5.1%), Contracaecum type D of Koyama et aZ. (18, 1.7%), Contracaecum type D' (new type) (77, 7.2%), Contracaecum type V of Yamaguti (3, 0.28%), Raphidascaris sp. of Koyama et aZ. (1, 0.09%) and unidentified (42, 3.9%). Contracaecum type C' and D' were considered new in the literature.

• 한국해양학회지
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• v.30 no.3
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• pp.197-202
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• 1995

A total of 272 specimens of Todarodes pacificus purchased during the period from July 1 to August 30, 1994 in the southern sea off Pusan were examined for their infection status with larval anisakids. Larvae in squids were encapsulated and appeared to remain active. Firty five larval anisakids sorted from T. pacificus (7.72% of infection rate) were classified based on morphological and morphometric observations as follows; Anisakis type I larvae (23 larvae, 51.0%: positive rate), Contracaecum type A (9, 20.0%), Contracaecum D (4, 9.0%), Anisakis II (3, 6.7%) and unknown type (6, 13.3%).

• NEWSLETTER 전기공업
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• no.98-14 s.207
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• pp.26-42
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• 1998