• Title/Summary/Keyword: Search history data

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Star formation history in the bubble nebula NGC 7635

  • Lim, Beom-Du;Sung, Hwan-Kyung;Kim, J. Serena
    • The Bulletin of The Korean Astronomical Society
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    • v.37 no.1
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    • pp.79.1-79.1
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    • 2012
  • We present here $UBVI$ and H${\alpha}$ photometric results of stellar sources in the bubble nebula NGC 7635. The early type members are selected from the photometric membership criteria. H${\alpha}$ photometry allows us to detect 11 pre-main sequence candidates with H${\alpha}$emission. In addition, we performed PSF photometry for the Spitzer IRAC and MIPS 24${\mu}m$ images from archive (program ID 20726, PI: J. Hester) in order to search for the young stellar objects (YSOs). Total 19 sources are classified as YSOs (7 class I, 11 class II, and 1 transitional disk candidates) in the color-color diagrams according to the classification scheme of Gutermuth et al.. Among them, 7 YSOs have counterparts in optical photometric data. These stars can be divided into two groups at given color indices. It implies that there occurred the star formation events more than twice. We would like to discuss the star formation history in the bubble nebula using the results from SED fitter (Robitaille et al.), color composite image from IRAC bands, and spatial distribution of early type stars and YSOs.

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A study on the Restoration of Docheonseoksil in Bogildo (보길도 하천석실(河川石室) 영역의 복원적 고찰)

  • Kim, Dong-Ryeol;Cheon, Deuk-Youm
    • Journal of architectural history
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    • v.17 no.4
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    • pp.113-127
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    • 2008
  • Bogildo is Byel-Seo architecture from the Joseon dynasty period. There were ruins in Nakseojae, Goksudang, Seyeonjeong and Docheonseoksil. Docheonseoksil had been protected as Scenic Site No.34. A pond, a stone embankment, a stone stairway was discovered during repair and restoration of the site. Also, a site with ondol was discovered in 2007. The literatures to know Docheonseoksil is Gosanyugo, Buyongdongpalgyeong, Bogildoji. These are important sources of data to know the original of Docheonseoksil at the moment. Accordingly we will search the original of Docheonseoksil to systematicly study the excavation report and literature now. Then the restoration of Huihwangkyo and the building site with ondol will be studied through th literatures and excavation report for an architectural point of view. Also, the location of the stone gate remaining in Docheonseoksil and the approach way to it will be studied. The translation of the literatures are referred translated books, found with help from professor. This thesis is a step to knowing the original. If Docheonseoksil is studied, we can know more of its origin.

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Association Service Mining using Level Cross Tree (레벨 교차 트리를 이용한 연관 서비스 탐사)

  • Hwang, Jeong Hee
    • Journal of Digital Contents Society
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    • v.15 no.5
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    • pp.569-577
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    • 2014
  • The various services are required to user in time and space. It is important to provide suitable service to user according to user's circumstance. Therefore it is need to provide services to user through mining by latest information of user activity and service history. In this paper we propose a mining method to search association rule using service history based on spatiotemporal information and service ontology. In this method, we find the associative service pattern using level-cross tree on service ontology. The proposed method is to be a basic research to find the service pattern to provide high quality service to user according to season, location and age under the same context.

Crack identification in beam-like structures using multi-mass system and wavelet transform

  • Siamak Ghadimi;Seyed Sina Kourehli;Gholamreza Zamani-Ahari
    • Earthquakes and Structures
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    • v.27 no.4
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    • pp.263-283
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    • 2024
  • This research introduces a new composite system that utilizes multiple moving masses to identify cracks in structures resembling beams. The process starts by recording displacement time data from a set of these moving masses and converting this information into a relative time history through weighted aggregation. This relative time history then undergoes wavelet transform analysis to precisely locate cracks. Following wavelet examinations, specific points along the beam are determined as potential crack sites. These points, along with locations on the beam susceptible to cracked point due to support conditions, are marked as crack locations within the optimization algorithm's search domain. The model uses equations of motion based on the finite element method for the moving masses on the beam and employs the Runge-Kutta numerical solution within the state space. The proposed system consists of three successive moving masses positioned at even intervals along the beam. To assess its effectiveness, the method is tested on two examples: a simply supported beam and a continuous beam, each having three scenarios to simulate the presence of one or multiple cracks. Additionally, another example investigates the influence of mass speed, spacing between masses, and noise effect. The outcomes showcase the method's effectiveness and efficiency in localizing crack, even in the presence of noise effect in 1%, 5% and 20%.

Interest-based Customer Segmentation Methodology Using Topic Modeling (토픽 분석을 활용한 관심 기반 고객 세분화 방법론)

  • Hyun, Yoonjin;Kim, Namgyu;Cho, Yoonho
    • Journal of Information Technology Applications and Management
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    • v.22 no.1
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    • pp.77-93
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    • 2015
  • As the range of the customer choice becomes more diverse, the average life span of companies' products and services is becoming shorter. Most companies are striving to maximize the revenue by understanding the customer's needs and providing customized products and services. However, companies had to bear a significant burden, in terms of the time and cost involved in the process of determining each individual customer's needs. Therefore, an alternative method is employed that involves grouping the customers into different categories based on certain criteria and establishing a marketing strategy tailored for each group. In this way, customer segmentation and customer clustering are performed using demographic information and behavioral information. Demographic information included sex, age, income level, and etc., while behavioral information was usually identified indirectly through customers' purchase history and search history. However, there is a limitation regarding companies' customer behavioral information, because the information is usually obtained through the limited data provided by a customer on a company's website. This is because the pattern indicated when a customer accesses a particular site might not be representative of the general tendency of that customer. Therefore, in this study, rather than the pattern indicated through a particular site, a customer's interest is identified using that customer's access record pertaining to external news. Hence, by utilizing this method, we proposed a methodology to perform customer segmentation. In addition, by extracting the main issues through a topic analysis covering approximately 3,000 Internet news articles, the actual experiment applying customer segmentation is performed and the applicability of the proposed methodology is analyzed.

Implementation of Temporal Relationship Macros for History Management in SDE (SDE에서 이력 관리를 위한 시간관계 매크로의 구현)

  • Lee, Jong-Yeon;Ryu, Geun-Ho
    • Journal of KIISE:Computing Practices and Letters
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    • v.5 no.5
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    • pp.553-563
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    • 1999
  • The Spatial Database Engine(SDETM) developed by Environmental Systems Research Institute, Inc. is a spatial database that employs a client-server architecture incorporated with a set of software services to perform efficient spatial operations and to manage large, shared and geographic data sets. It currently supports a wide variety of spatial search methods and spatial relationships determined dynamically. Spatial objects in the space world can be changed by either non-spatial operations or spatial operations. Conventional geographical information systems(GISs) did not manage their historical information, however, because they handle the snapshot images of spatial objects in the world. In this paper we propose a spatio-temporal data model and an algorithm for temporal relationship macro which is able to manage and retrieve the historical information of spatial objects. The proposed spatio-temporal data model and its operations can be used as a software tool for history management of time-varying objects in database without any change.

SEARCHING FOR ULIRGS BY USING AKARI AND WISE

  • Koyama, Shuhei;Matsuhara, Hideo
    • Publications of The Korean Astronomical Society
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    • v.32 no.1
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    • pp.309-311
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    • 2017
  • Properties of ULIRGs (Ultra Luminous InfraRed Galaxies) are important to understand the cosmic star formation history. To investigate their properties up to z=0.3, we search for ULIRGs identified by using the AKARI/FIS Bright Source Catalogue and the WISE All-Sky catalog. By matching the AKARI $90{\mu}m$ catalogue with the WISE catalog, we selected 3,452 galaxies. Additionally, combined with the SDSS DR10 spectroscopic data, we selected 952 galaxies with spec-z. We then computed total infrared luminosities using SED fitting technique, and identified 31 ULIRGs, 561 LIRGs and 344 IRGs. For these galaxies, we found an indication that ULIRGs selected by AKARI change the SED shape with redshift (z = 0.1 - 0.3).

The Access Network Architecture for BcN Adapted (BcN 적합형 액세스네트워크 구조)

  • Lee, Sang-Moon
    • 한국정보통신설비학회:학술대회논문집
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    • 2007.08a
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    • pp.121-124
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    • 2007
  • This article describes a function and structure of access network equipment under BcN environment. Access network until now have constructed separately to offer voice, data service. However, simplifies network structure, function that can do traffic concentration, subscriber certification, individual charging, QoS according to service and routing is required in BcN. In this paper, compare method offering by separate system with existing access network and method that offer integrating function inside system for structure of suitable access network to BcN and search structure of access network equipment for desirable access network of hereafter. Composition of this paper is as following. In Chapter 2, establishment history and structure of access network until present. In Chaprte 3, define suitable requirement and functions to BcN. And compare structure for access net work that is new with present. Last Chapter 4, suggests direction of structure of BcN access network and concludes conclusion.

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Development of Multimedia Web Contents Search System for Natural History Museum (자연사박물관 멀티미디어 웹 컨텐트 검색 시스템 구축)

  • 박선영;강주영;이인기;용환승
    • Journal of the Korean Society for information Management
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    • v.16 no.3
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    • pp.101-115
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    • 1999
  • In this paper, we described web content searching system focused on the natural monuments, the endangered and reserved wild animals, the rare wild animals relevant to CITES & IUCN red data book, and the Korean endemic species. As a result of this research, we developed system for inserting and modifying of contents and efficient web searching system on the multimedia contents.

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CAD/CAM Integration based on Geometric Reasoning and Search Algorithms (기하 추론 및 탐색 알고리즘에 기반한 CAD/CAM 통합)

  • Han, Jung-Hyun;Han, In-Ho
    • Journal of KIISE:Software and Applications
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    • v.27 no.1
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    • pp.33-40
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    • 2000
  • Computer Aided Process Planning (CAPP) plays a key role by linking CAD and CAM. Given CAD data of a part, CAPP has to recognize manufacturing features of the part. Despite the long history of research on feature recognition, its research results have rarely been transferred into industry. One of the reasons lies in the separation of feature recognition and process planning. This paper proposes to integrate the two activities through AI techniques, and presents efforts for manufacturable feature recognition, setup minimization, feature dependency construction, and generation of an optimal machining sequence.

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