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      • KCI등재

        녹읍 수취의 내용에 대하여 : 전기녹읍을 중심으로

        이순근 한국역사연구회 2004 역사와 현실 Vol.- No.52

        This thesis is a study on the levy system of Nok-Eup in Shilla. But it'll be limited the time ranging from the establishing of Nok-Eup to the mid-abolishing by King Shinmun(689AD). Therefore, this study is especially concentrated on the social and historical forming backbround and the conditions those days. Nok-Eup system was fanned around the transition time of the late 5th and the early 6th centuries. Specifically, it seemed formed as one of the Official Paying Systems, when a lot of institutions and systems(concerning the unified central and local administration system, ranks, status system, and etc.) were being established with its Ruling Law(律令). At the time, many independent Powers who had been in the Capital city were also enroled into the new systems. Some of them, maybe belong to high class, were given Nok-Eup and others were given wages in kind, including cereals, fabrics and kinds of materials. Nok-Eup was usually given by the unit of local village in proper according to the Law and ranks. At first, the size of the Nok-Eup would be counted by its number of residents. Therefore, the whole sum of the levy weren't exactly defined. It seemed they levied some proper parts of the whole sum of production without distinction of cereals(穀), fabrics(布) and others. So at first, in levy system of Nok-Eup there weren't strict rate-sum and discrimination between Cho(粗)and Cho(調). Nearing the time of unification, Some of the officials were given by the unit of exact numbers of Hos'(戶數) as paying. Around the time small changes could be in process.

      • 빅 데이터의 효율적 군집화를 위한 알고리즘에 대한 비교 분석

        이순근,임영문 대한안전경영과학회 2014 대한안전경영과학회 학술대회논문집 Vol.2014 No.04

        As Internet has been wildly spreaded and it's technique is advanced, the use of computers has been routinized and almost data are stored in computers. Accordingly, many companies and researchers have tried to find the relations in these tremendous data and the one way is to use clustering algorithm which is used to find out similar data set in the entire data set and to discover the common properties. In early period, clustering algorithm was performed based on a main memory of a computer and PAM(Partitioning Around Medoids) was representative, which can be complemented k-means algorithm defeat. PAM performs clustering by using the medoid of data instead of means. PAM works well in small data set but it is difficult to apply it to large data set. Therefore, CLARA(Clutering LARge Application) shows up to be used in large data set. This algorithm samples data from large data set and applies PAM to the sample data. CLARA has limits caused by the fixed samples in each clustering stage and has a problem that if the good mediod is not sampled then the result of the clustering becomes not good. CLARANS(Clustering Large Application based upon Randomized Search) overcomes these problems by drawing a sample with some randomness. This algorithm executes clustering using k mediod set extracted in the processing of clustering in each stage. The main objective is to compare and analyze the algorithms which are popularly used for the clustering of big data.

      • KCI등재

        특허 문서로부터 키워드 추출을 위한 위한 텍스트 마이닝 기반 그래프 모델

        이순근,임영문,엄완섭 대한안전경영과학회 2015 대한안전경영과학회지 Vol.17 No.4

        The increasing interests on patents have led many individuals and companies to apply for many patents in various areas. Applied patents are stored in the forms of electronic documents. The search and categorization for these documents are issues of major fields in data mining. Especially, the keyword extraction by which we retrieve the representative keywords is important. Most of techniques for it is based on vector space model. But this model is simply based on frequency of terms in documents, gives them weights based on their frequency and selects the keywords according to the order of weights. However, this model has the limit that it cannot reflect the relations between keywords. This paper proposes the advanced way to extract the more representative keywords by overcoming this limit. In this way, the proposed model firstly prepares the candidate set using the vector model, then makes the graph which represents the relation in the pair of candidate keywords in the set and selects the keywords based on this relationship graph.

      • KCI우수등재

        고강도섬유의 습식부직포 제조에 관한 연구(I) -섬유 수중분산의 이론과 현상적 고찰-

        이순근,주창환 한국섬유공학회 1997 한국섬유공학회지 Vol.34 No.12

        The wet-laid forming system is one of nonwoven manufacturing techniques to produce ideally isotropic webs from the specialty fibers having brittle and high strength properties such as glass, carbon and oxidized carbon fibers. To make the high performance wet-laid nonwovens, the fibers have to be easily dispersed in water with no defects (i. e., log, rope, dumbbell). In this study, we have theoretically suggested the mechanism of fiber dispersion behavior in water under the assumption of dispersion kinetics theory. And then we have experimentally evaluated the effects of processing factors, such as aspect ratio, fiber consistency, dispersing agent and mixing time, on the visibly perceived dispersion of the carbon and oxidized carbon fibers in water. As the results, the water dispersion of carbon fibers is poor with increasing aspect ratio and fiber content, while it does not show any difference when mixing time is increased. The nonionic surfactants on the dispersion of fibers in water are remarkably effective, however the anionic surfactants are not as evident as the nonionic ones. The oxidized carbon fibers are more uniformly dispersed than the carbon fibers in all processing conditions.

      • KCI등재
      • KCI등재

        On the Historical Succession of Goguryeo in Northeast Asia

        이순근 한국학중앙연구원 한국학중앙연구원 2005 Korea Journal Vol.45 No.1

        본 연구는 고구려 역사의 귀속성을 알아보기 위하여 두가지 측면에서 접근하였다. 먼저 당대의 고구려와 중국이 서로 상대를 어떻게 인식하고 있었는가를 살펴보았다. 그 결과 고구려는 언제나 중국을 ‘이국’ 또는 ‘이민족’으로 여기며, 대부분의 경우 대등한 상대국으로 인식하였다. 중국 역시 고구려를 ‘오랑캐의 나라’로 인식하고 있음이 드러났다. 다음 고구려의 멸망 후 그 역사를 누가 이어왔는가를 살펴보았다. 고구려 멸망 후 그 역사를 수용하며 이어 온 것은 신라였다. 신라는 고구려인과 백제인을 포용하였고 그들의 역사의식을 존중하였다. 이러한 노력은 이후 한국사 전개에 다양성과 역동성을 갖게 하였다. 그 결과 통일신라→고려→조선→현대에 이르기까지 한국사에서 이러한 삼국의 역사는 한국고대사의 한 장으로 부동의 위치를 갖게 되었다. 반면 중국의 경우는 고구려가 멸망하자 고구려 단절의 정책을 취하였다. 그 결과 고구려역사는 이후 중국사에서 배제되었으며 오히려 고려를 고구려의 후예로 인정해 온 것이 사실이었다. 1980년대 중반에 들어 갑자기 중국이 고구려 역사를 그들의 역사로 주장하고 나온 것은 학문적인 측면에서 인정하기 어렵다.

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