Six New and Four Unrecorded Species of Tanytarsini (Diptera, Chironomidae, Chironominae) Found in Korea

Adult chironomid collections were carried out near Namdae stream located at Jeollabuk-do, Muju-gun, Mujueup, Dangsan-ri in 2008 and 2009. Among 21 species of the tribe Tanytarsini identified from Muju collections, six new species (Cladotanytarsus neovanderwulpi, Paratanytarsus paramikesecumdus, Rheotanytarsus parapentapodus, Rheotanytarsus sungili, Tanytarsus neotamaoctavus, and Tanytarsus synyunosecundus) and four previously unrecorded species (Cladotanytarsus vanderwulpi, Paratanytarsus inopertus, Tanytarsus tamagotoi, and Tanytarsus uresiacutus) were confirmed. They are fully described with illustrations. As a result of this report, the Korean fauna of Tanytarsini consists of 37 species, 6 genera. In total, 128 species, 52 genera, 5 subfamilies of the family Chironomidae are listed in Korea.ope

Nine Polypedilum Species (Diptera, Chironomidae) New to Korea Collected Near Namdae-stream, Muju

Adult chironomids were collected at Dangsan-ri, Muju-eup, Muju-gun, Jeollabuk-do on 5 September 2008, 22 May 2009 and 28 August 2009. A total of 221 specimens belong to the genus Polypedilum Kieffer from 1,113 adult midges collected were morphologically examined, and 16 Polypedilum species were identified. One species is new (Polypedilum dangsanensis Ree et Jeong sp. nov.) and eight species are newly recorded in Korea (P. asakawasense, P. convictum, P. decematogutatus, P. japonicum, P. kamotertium, P. pullum, P. serugense, and P. unifascium). These nine species are described with illustrations. Polypedilum nubifer was the most frequently collected species, consisting of 25.8% of the Polypedilum samplesope

Ixodid tick infestation in cattle and wild animals in Maswa and Iringa, Tanzania.

Ticks and tick-borne diseases are important in human and livestock health worldwide. In November 2012, ixodid ticks were collected and identified morphologically from cattle and wild animals in the Maswa district and Iringa urban, Tanzania. Amblyomma gemma, A. lepidum, and A. variegatum were identified from Maswa cattle, and A. variegatum was the predominant species. A. marmoreum, Hyalomma impeltatum, and Rhipicephalus pulchellus were identified from Iringa cattle in addition to the above 3 Amblyomma species, and A. gemma was the most abundant species. Total 4 Amblyomma and 6 Rhipicephalus species were identified from wild animals of the 2 areas. A. lepidum was predominant in Maswa buffaloes, whereas A. gemma was predominant in Iringa buffaloes. Overall, A. variegatum in cattle was predominant in the Maswa district and A. gemma was predominant in Iringa, Tanzania.ope

여름 및 겨울철 한국 동해 연안의 종관규모 변동

Thesis (master`s)--서울대학교 대학원 :지구환경과학부,2001.Maste

韓國 東海 沿岸 準慣性週期 海流 變動性

Thesis(doctor`s) --서울대학교 대학원 :지구환경과학부,2006.Docto

Customer Outcome Based Semi-Automatic Job Mapping for New Service Development

DoctorThis research suggests semi-automatic method of making Job Map for Obtaining Service, which is an early step of Outcome-driven Innovation (ODI). Job Map for Obtaining Service illustrates what customers are trying to achieve and how customers are benefited while using a service. In order to make it, human expert in ODI and service domain must interview sufficient amount of users. This process takes long time and quality of its output may vary depending on the expertise of human experts and characteristics of interviewee. To solve the aforementioned problems, using large amount of review data found online is suggested instead of customer interview. Method to process review data is proposed and case study on hotel’s review was conducted. Since large portion of online review is irrelevant in making Job Map for Obtaining Service, the proposed method suggests multi-class text classification to filter out noises. Multi-label text classification requires large amount of training set and even though it have gone through problem transformation to binary relevance, classifier for each label needs large amount of training set. However, customer reviews do not guarantee the existence of equal amount for each label could be found, and the amount of training set needed should be small to reduce the dependent of human expert. Binary relevance method utilizing semantic similarity was proposed to solve this problem. Sentence analysis based on Subject-action-object (SAO) analysis was proposed to extract actions of service users. While typical SAO analysis extracts a single SAO structure from one sentence, customer review contains more than one action of service user in a sentence. Therefore, an algorithm to extract multiple SAO structure from a sentence was proposed. Through proposed methods, time and human dependency for ODI process could be significantly reduced.본 연구는 서비스 혁신을 위한 Outcome Driven Innovation의 초기 단계 중 하나인 Job Map for Obtaining Service를 대량의 고객 인터뷰 자료를 기반으로 하여 반자동적으로 만드는 방법을 제시한다. Job Map은 고객이 제품 혹은 서비스를 이용할 때 해결하고자 하는 문제와 그로 인해 얻는 이득을 정리해 둔 표이며 이를 만들기 위해서는 전문가가 충분한 수의 고객을 대상으로 심도 있는 인터뷰를 진행해야 한다. 이 과정은 오랜 시간이 걸릴 뿐 아니라 전문가의 숙련도나 고객 집단에 따라 그 결과가 상이할 수 있다. 위와 같은 문제점을 해결하기 위해 모집된 소수의 고객이 아니라 온라인에서 발견되는 제품 혹은 서비스에 대한 대량의 리뷰 정보를 미리 정의된 방법에 의해 분석하는 방법론을 제안한다. 그리고 호텔 리뷰를 대상으로 제안된 방법론을 case study로 활용하였다. 온라인 리뷰는 Job Map을 만드는 데 필요 없는 noise가 많기 때문에 multi-class text classification을 통해 자동적으로 제거해주었다. 일반적인 multi-label text classification은 training set의 크기가 크고, problem transformation한 binary relevance는 각 label마다 충분한 수의 training set이 필요하다. 하지만 고객 리뷰에서는 label마다 얻어지는 review의 개수가 다르고 전문가의 의존도를 줄이기 위해서는 training set의 개수는 적을수록 좋다. 이 문제를 해결하기 위해 semantic similarity를 응용한 binary relevance method를 제안하였다. 또한 SAO를 통해 고객의 action에 관한 내용만을 추려내는 방법론을 제안하였다. 일반적인 SAO 분석은 한 문장에서 하나의 SAO만을 추출한다. 하지만 고객 리뷰에서는 고객의 action이 main topic이 아니기 때문에 한 문장에서 다수의 action이 등장할 수 있다. 따라서 문장에서 복수의 SAO를 손쉽게 추출할 수 있는 방법론을 제안하였다. 이를 통해 ODI에 필요한 시간과 노력을 줄일 수 있다