• 제목/요약/키워드: Vague Information

검색결과 160건 처리시간 0.022초

전문색인에 있어서 수작업 색인과 자동색인의 특성 (Characteristics of Fulltext Index by Human and Automatic Indexing Systems)

  • 김기영
    • 정보관리학회지
    • /
    • 제25권2호
    • /
    • pp.199-221
    • /
    • 2008
  • 본 연구는 전문(fulltext) 환경에서 수작업 색인과 자동색 인의 색 인용어의 특성과 차이점을 알아보는 것을 그 목적으로 한다. 이를 위해 영어로 작성된 단행본에 대한 권말색인과 두 개의 유사 색인 시스템(LinkIt 과 Termer)을 이용한 색인들이 이용되었다. 이러한 비교분석을 통해 수작업 색인은 이용과 브라우징에 대한 강점이 있으며 자동색인은 자동 시스템에서의 탐색에 강점이 있음을 확인하였지만, 양자간의 경계가 불분명해짐도 아울러 확인하였다. 마지막으로 브라우징과 탐색을 위한 유사 색인 시스템의 이용에 있어서 고려할 점과 이에 대한 향후 연구에 대하여 토의하였다.

엘라스틱 밴드와 디지털 카메라를 이용한 신체 치수 측정 방법 (Body Size Measurement Method Using a Elastic Band and Digital Camera)

  • 최기락;김현석;이종혁
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국정보통신학회 2015년도 춘계학술대회
    • /
    • pp.553-556
    • /
    • 2015
  • 대부분의 맞춤 정장 회사에서는 재단사가 신체 치수를 직접 측정하기 때문에 신속하지 못하며 개인마다 그 기준이 모호하여 일관성을 가지기가 어렵고 고객이 신체 접촉으로 인한 불쾌감을 느낄 수가 있다. 이러한 문제점을 개선하기 위한 방법으로 본 논문에서는 길이 정보를 담고 있는 마크가 프린트되어 있는 엘라스틱 밴드를 몸에 착용한 후 디지털 카메라로 신체를 촬영하여 일반적인 영상처리 기술로 측정하기 어려운 신체의 특정 부위를 보다 효과적으로 측정 할 수 있는 방법을 제안한다.

  • PDF

운전자 피로 감지를 위한 얼굴 동작 인식 (Facial Behavior Recognition for Driver's Fatigue Detection)

  • 박호식;배철수
    • 한국통신학회논문지
    • /
    • 제35권9C호
    • /
    • pp.756-760
    • /
    • 2010
  • 본 논문에서는 운전자 피로 감지를 위한 얼굴 동작을 효과적으로 인식하는 방법을 제안하고자 한다. 얼굴 동작은 얼굴 표정, 얼굴 자세, 시선, 주름 같은 얼굴 특징으로 나타난다. 그러나 얼굴 특징으로 하나의 동작 상태를 뚜렷이 구분한다는 것은 대단히 어려운 문제이다. 왜냐하면 사람의 동작은 복합적이며 그 동작을 표현하는 얼굴은 충분한 정보를 제공하기에는 모호성을 갖기 때문이다. 제안된 얼굴 동작 인식 시스템은 먼저 적외선 카메라로 눈 검출, 머리 방향 추정, 머리 움직임 추정, 얼굴 추적과 주름 검출과 같은 얼굴 특징 등을 감지하고 획득한 특징을 FACS의 AU로 나타낸다. 획득한 AU를 근간으로 동적 베이지안 네트워크를 통하여 각 상태가 일어날 확률을 추론한다.

지식 추상화 계층을 이용한 근사해 생성 (Providing Approximate Answers Using a Knowledge Abstraction Hierarchy)

  • 허순영;문개현
    • Asia pacific journal of information systems
    • /
    • 제8권1호
    • /
    • pp.43-64
    • /
    • 1998
  • Cooperative query answering is a research effort to develop a fault-tolerant and intelligent database system using the semantic knowledge base constructed from the underlying database. Such knowledge base has two aspects of usage. One is supporting the cooperative query answering process for providing both an exact answer and neighborhood information relevant to a query. The other is supporting ongoing maintenance of the knowledge base for accommodating the changes in the knowledge content and database usage purpose. Existing studies have mostly focused on the cooperative query answering process but paid little attention to the dynamic knowledge base maintenance. This paper proposes a multi-level knowledge representation framework called Knowledge Abstraction Hierarchy(KAH) that can not only support cooperative query answering but also permit dynamic knowledge maintenance, On the basis of the KAH, a knowledge abstraction database is constructed on the relational data model and accommodates diverse knowledge maintenance needs and flexibly facilitates cooperative query answering. In terms of the knowledge maintenance, database operations are discussed for the cases where either the internal contents for a given KAH change or the structures of the KAH itself change. In terms of cooperative query answering, four types of vague queries are discussed, including approximate selection, approximate join, conceptual selection, and conceptual join. A prototype system has been implemented at KAIST and is being tested with a personnel database system to demonstrate the usefulness and practicality of the knowledge abstraction database in ordinary database application systems.

  • PDF

계층 분석방법을 이용한 교통량검지를 위한 퍼지센서 알고리즘 (Fuzzy Sensor Algorithm for Measuring Traffic Information using Analytic Hierarchy Process)

  • 진현수
    • 한국지능시스템학회논문지
    • /
    • 제12권3호
    • /
    • pp.193-201
    • /
    • 2002
  • 교통의 혼잡량이라든가 공기의 쾌적도등을 측정할 때는 상징적인 정보량을 이용한 퍼지 센서 알고리즘을 사용한다. 그런데 퍼지센서를 구현할 경우 몇 개의 상징적인 정보량을 퍼지 규칙으로서 종합하여 출력을 산출하는데 상징적인 정보량을 퍼지 규칙이라는 막연한 방법을 사용하므로서 정확하지 못한 결과를 산출 할 수 밖에 없다. 따라서 본 논문에서는 퍼지 규칙으로 퍼지센서를 구현하는 방법이 아닌 계층분석 방법이라는 분석적인 방법을 이용하여 퍼지센서를 구현하였고 이를 검증하기 위하여 퍼지 규칙방법의 퍼지센서와 계층분석방법의 퍼지센서를 교통량 제어에 적용하여 많은 통과차량수의 검증을 통하여 비교하여 보았다

Improved Minimum Spanning Tree based Image Segmentation with Guided Matting

  • Wang, Weixing;Tu, Angyan;Bergholm, Fredrik
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제16권1호
    • /
    • pp.211-230
    • /
    • 2022
  • In image segmentation, for the condition that objects (targets) and background in an image are intertwined or their common boundaries are vague as well as their textures are similar, and the targets in images are greatly variable, the deep learning might be difficult to use. Hence, a new method based on graph theory and guided feathering is proposed. First, it uses a guided feathering algorithm to initially separate the objects from background roughly, then, the image is separated into two different images: foreground image and background image, subsequently, the two images are segmented accurately by using the improved graph-based algorithm respectively, and finally, the two segmented images are merged together as the final segmentation result. For the graph-based new algorithm, it is improved based on MST in three main aspects: (1) the differences between the functions of intra-regional and inter-regional; (2) the function of edge weight; and (3) re-merge mechanism after segmentation in graph mapping. Compared to the traditional algorithms such as region merging, ordinary MST and thresholding, the studied algorithm has the better segmentation accuracy and effect, therefore it has the significant superiority.

CORRECT? CORECT!: Classification of ESG Ratings with Earnings Call Transcript

  • Haein Lee;Hae Sun Jung;Heungju Park;Jang Hyun Kim
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제18권4호
    • /
    • pp.1090-1100
    • /
    • 2024
  • While the incorporating ESG indicator is recognized as crucial for sustainability and increased firm value, inconsistent disclosure of ESG data and vague assessment standards have been key challenges. To address these issues, this study proposes an ambiguous text-based automated ESG rating strategy. Earnings Call Transcript data were classified as E, S, or G using the Refinitiv-Sustainable Leadership Monitor's over 450 metrics. The study employed advanced natural language processing techniques such as BERT, RoBERTa, ALBERT, FinBERT, and ELECTRA models to precisely classify ESG documents. In addition, the authors computed the average predicted probabilities for each label, providing a means to identify the relative significance of different ESG factors. The results of experiments demonstrated the capability of the proposed methodology in enhancing ESG assessment criteria established by various rating agencies and highlighted that companies primarily focus on governance factors. In other words, companies were making efforts to strengthen their governance framework. In conclusion, this framework enables sustainable and responsible business by providing insight into the ESG information contained in Earnings Call Transcript data.

한국실내디자인에 있어 매체적 표현 경향에 관한 연구 (A Study on the Media Expression Trend in Interior Design of Korea)

  • 오인욱;이창윤
    • 한국실내디자인학회논문집
    • /
    • 제28호
    • /
    • pp.11-16
    • /
    • 2001
  • All vague and constructions of contemporary cultural environment have been reorganized and the relationship between people and culture can't follow development speed of rapid material civilization development and being informationalized. Because of the circumstances, physical environment is changing into other cultural environment, existence of human being is at a crisis. Physical value precedes mental value and rapid changing causes culture lag. Modernism design of 20th century suggested standard, simplicity and mass production methods, but nowaday, as human being complexity is increasing, information-media are needed to satisfy that. Namely usual design thoughts have to be changed because our life is surrounded by many kinds of powerful media sings and various mixed cultural circumstances. People predict that the characteristics of new ages are 'Immateriality', 'Sensoriality', 'multimedia'. Amongst them, medial spatial characteristics will be eventually remarkable in commercial space which is coincided with economic logic and multilateral culture. This study is a focus on commercial space which emphasis contemporary medial characteristics and observes medial meaning and various technique through some experimental works in Korea. Also this study's purpose is to examine design directions which correspond with contemporary Korea culture.

  • PDF

지형공간정보를 이용한 해안선 변화량 분석 (Coastline Change Analysis using Geospatial Information)

  • 김용석;이재원;홍순헌;이강원
    • 한국측량학회:학술대회논문집
    • /
    • 한국측량학회 2007년도 춘계학술발표회 논문집
    • /
    • pp.225-230
    • /
    • 2007
  • Currently, looking at the field of producing national coastlines, the lengths of coastlines are inaccurate due to the vague definition of dividing coastline boundaries and insufficient observation data. The level of accuracy and reliability of previous data are also in the very low. This paper used aerial photographs with certain intervals to monitor the change in coastal areas of Songjeong, Haeundae, Kwanganri, Songdo and Dadaepo. The local area subjected for this research was limited to areas near Busan. Launching quantitative/time series analyses on the change of coastal areas using aortal photographs, satellite image data and RTK-GPS surveys. And developing an automatic edge detection program to extract coastlines, suggesting the performance of the program and analyzing the efficiency of the program.

  • PDF

홍수터 관리 최적대안 결정을 위한 공간퍼지접근 (The Spatial Fuzzy Approach to Multi-Criteria Decision Analysis for Flood Management)

  • 임광섭;최시중
    • 한국수자원학회:학술대회논문집
    • /
    • 한국수자원학회 2009년도 학술발표회 초록집
    • /
    • pp.1647-1651
    • /
    • 2009
  • The uncertainty or imprecision associated with vague parameters and weighting sets, reduces the ability to decide what alternative is better for a particular location. To efficiently reduce the effect of imprecision frequently arising in available information, fuzzy theory has been used to improve consideration of imprecision in a Multi-Criteria Decision Analysis (MCDA) problem. Fuzzy logic offers a way to represent and handle imprecision present in continuous real world applications. A GIS implementing fuzzy set theory, (referred to in this paper as the "Spatial Fuzzy Approach") enables decision makers to express imprecise concepts associated with geographic data and provides decision makers the ability to have even more definition and discrimination in terms of the best alternatives for a particular spatial location. This study is focused on addressing questions pertaining to the methodology of floodplain analysis using GIS and Spatial Fuzzy MCDA to evaluate flood damage reduction alternatives. The issues will be examined in a case study of the Suyoung River Basin in Pusan, Korea.

  • PDF