• 제목/요약/키워드: Meaning Network

검색결과 351건 처리시간 0.028초

과시적 키즈 패션의 특성과 내적 의미 연구 (A Study on Characteristics And Intrinsic Meaning of Conspicuous Kids Fashion)

  • 김현경;최현숙
    • 복식
    • /
    • 제66권7호
    • /
    • pp.1-16
    • /
    • 2016
  • The purpose of this study was to examine the characteristics of conspicuous kids fashion and its intrinsic meaning as the popular trends of luxury product consumption expand into the area of kids' fashion. For methodologies, literature study was conducted along with empirical study. The literature study was based on various literatures and preceding studies, including books. The empirical materials used the internet photos, overseas kids fashion magazines, and free newspapers available on the basis of membership targeting the upper class. Conspicuous kids fashion refers to imported luxury kids brands, which signify higher status of the wearer due to the high prices and high quality. These brands were thrust into limelight amid the Wanna-Be Phenomenon, which resulted from the emergence of kids' fashion icons. Imported luxury brands launched the products in the form of brand line extensions. It promoted exhibition of vicarious consumption to show off the wealth and social prestige of parents. It came into prominence due to emotional consumption among kitty moms. Moreover, this study examined the intrinsic meaning of conspicuous kids fashion. The results showed components of conspicuous kids fashion, which was classified into the emphasis on outward appearance, consumption for vicarious satisfaction, inheritance of cultural capital, and network configuration.

언어적인 항해안전정보 지원을 위한 의미해석 모델 구축에 관한 연구 (The Design of a Meaning Interpretation Model for Supporting Linguistic Navigation Safety Information)

  • 김영기;박계각;이미라
    • 한국지능시스템학회논문지
    • /
    • 제21권2호
    • /
    • pp.198-205
    • /
    • 2011
  • 선박의 항해사가 안전 항해를 위해 GPS, ARPA, AIS, NAVTEX, VHF 등 다수의 항해장비가 제공하는 화상, 수치, 텍스트 및 음성 정보를 숙지하여야 하나, 항해당직에 임하면서 동시에 이들 정보를 획득하여 안전 항해를 위한 판단자료로 활용하는 것은 대단히 번거롭고 어려운 작업이다. 따라서 이들 멀티미디어 항해안전정보를 이해하고 융합하여 항해사가 처한 상황을 인식하고 항해사의 의사결정에 필요한 정보를 추론하여 언어로서 제공해주는 시스템이 필요하다. 본 연구에서는 멀티미디어 항해안전정보를 이해하고 융합하여 언어로 제공하는데 필요한 의미해석 모델을 Semantic Network를 이용하여 구축하고자 한다.

문화소비공간의 확산에 따른 저층주거지 변화 특성 연구 - 연남동 일대를 중심으로 - (A Study on the Changes of Low-rise Residential Neighborhood with the Spread of Consumption-biased Cultural Space - Focused on the Yeonnam-dong Area -)

  • 김신성
    • 한국주거학회논문집
    • /
    • 제27권4호
    • /
    • pp.77-88
    • /
    • 2016
  • Low-rise Residential neighborhoods of Hongdae area, Garosu-gil, Samchung-dong, Itawon etc. are currently emerging new spaces for cultural consumption in the city. Nonetheless undiscerning excessive commercialization often results in monotonous urban space and deportation of residents and leaders of change; Due to commercialization and popularization recently this phenomenon is influencing surrounding low-rise residential neighborhoods. The main objective of this study is to examine how surrounding low-rise residential neighborhood transforms according to the expansion of culture-commerce spaces. Hongdae area's culture-commerce spaces and its expansion into Yeonnam-dong is investigated in specific. Especially attributes and main causes of transformation in physical and experiential space of neighborhood living facilities and residential buildings, when changed into culture-commerce related use is examined in detail. The expansion of culture-commerce space of Hongdae to Yeonnam-dong area has positive meaning in aspects of everyday experience. First, physical alteration of street-building relation increases direct and indirect contact of people. Contact opportunity carries important meaning in sense that it is prerequisite for next stage contact of network and exchange. Second, culture-commerce related programs provide the third place, where various leisure activities can take place. Attributes of transformation and positive meaning of culture-commerce spaces expanding its territory presents the need of management.

M2M/IoT 서비스를 위한 지그비 기반의 Publish/Subscr ibe 시스템 구현 (Implementation of Zigbee-based Publish/Subscribe System for M2M/IoT Services)

  • 이도경;최덕재
    • 한국멀티미디어학회논문지
    • /
    • 제17권12호
    • /
    • pp.1461-1472
    • /
    • 2014
  • Recently, smart devices has been spreaded and the definition of RFID/USN(Radio Frequency Identification/Ubiquitous Sensor Network) technology has also extended. So, originally, human is an agent of communications but now, 'the things' are also an agent of communication. That is, Internet of Things(IoT). IoT is very big IT infra technology that is based on wire-wireless network technologies such as Bluetooth and Wi-Fi. However, in reality, IoT service that can provide various meaning and integrate smoothly is not appear yet. To solve these problems of IoT, we implemented Publish/Subscribe system, which operate in Zigbee based wireless sensor network by using MQTT-SN protocol. Moreover, this system can operate with combining MQTT system that is already existed in external Internet network so, extensibility and flexibility aspect is excellent. We show that possibility of IoT services that is combined between different heterogeneous network through the MQTT-SN.

Establishment of an International Evidence Sharing Network Through Common Data Model for Cardiovascular Research

  • Seng Chan You;Seongwon Lee;Byungjin Choi;Rae Woong Park
    • Korean Circulation Journal
    • /
    • 제52권12호
    • /
    • pp.853-864
    • /
    • 2022
  • A retrospective observational study is one of the most widely used research methods in medicine. However, evidence postulated from a single data source likely contains biases such as selection bias, information bias, and confounding bias. Acquiring enough data from multiple institutions is one of the most effective methods to overcome the limitations. However, acquiring data from multiple institutions from many countries requires enormous effort because of financial, technical, ethical, and legal issues as well as standardization of data structure and semantics. The Observational Health Data Sciences and Informatics (OHDSI) research network standardized 928 million unique records or 12% of the world's population into a common structure and meaning and established a research network of 453 data partners from 41 countries around the world. OHDSI is a distributed research network wherein researchers do not own or directly share data but only analyzed results. However, sharing evidence without sharing data is difficult to understand. In this review, we will look at the basic principles of OHDSI, common data model, distributed research networks, and some representative studies in the cardiovascular field using the network. This paper also briefly introduces a Korean distributed research network named FeederNet.

바이오모픽 건축의 재료 표현특성에 관한 연구 (A Study on the Material Expression Characteristics of Biomorphic Architecture)

  • 김정신
    • 한국실내디자인학회논문집
    • /
    • 제15권5호
    • /
    • pp.289-297
    • /
    • 2006
  • This study was begun on the premise that architecture which has the definite disposition for survival even in the urban, social structure of that uncertainty and constructs specialty is biomorphic architecture. This study was made with the following four specific purposes largely. First, through the theoretical investigation of biomorphic architecture that appears in the tendency that mordern architecture develops into the architecture of do-stereotype and new form, its meaning and definition are examined. Second, the analysis of biomorphic architecture is investigated and the generation causes are applied architecturally and generate biomorphic architecture is made. Third, by analyzing the material expression characteristics of biomorphic architecture, the meaning and possibility of architecture, which expresses the vitality of organism, as the material expression characteristics of biomorphic architecture, are investigated. The material expression characteristics was deduced through the generation background of biomorphic architecture. The material expression characteristics of biomorphic architecture is the various modeling by smart-network and the response system of sensitivity poly-logue.

Mention Detection Using Pointer Networks for Coreference Resolution

  • Park, Cheoneum;Lee, Changki;Lim, Soojong
    • ETRI Journal
    • /
    • 제39권5호
    • /
    • pp.652-661
    • /
    • 2017
  • A mention has a noun or noun phrase as its head and constructs a chunk that defines any meaning, including a modifier. Mention detection refers to the extraction of mentions from a document. In mentions, coreference resolution refers to determining any mentions that have the same meaning. Pointer networks, which are models based on a recurrent neural network encoder-decoder, outputs a list of elements corresponding to an input sequence. In this paper, we propose mention detection using pointer networks. This approach can solve the problem of overlapped mention detection, which cannot be solved by a sequence labeling approach. The experimental results show that the performance of the proposed mention detection approach is F1 of 80.75%, which is 8% higher than rule-based mention detection, and the performance of the coreference resolution has a CoNLL F1 of 56.67% (mention boundary), which is 7.68% higher than coreference resolution using rule-based mention detection.

Profane or Not: Improving Korean Profane Detection using Deep Learning

  • Woo, Jiyoung;Park, Sung Hee;Kim, Huy Kang
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제16권1호
    • /
    • pp.305-318
    • /
    • 2022
  • Abusive behaviors have become a common issue in many online social media platforms. Profanity is common form of abusive behavior in online. Social media platforms operate the filtering system using popular profanity words lists, but this method has drawbacks that it can be bypassed using an altered form and it can detect normal sentences as profanity. Especially in Korean language, the syllable is composed of graphemes and words are composed of multiple syllables, it can be decomposed into graphemes without impairing the transmission of meaning, and the form of a profane word can be seen as a different meaning in a sentence. This work focuses on the problem of filtering system mis-detecting normal phrases with profane phrases. For that, we proposed the deep learning-based framework including grapheme and syllable separation-based word embedding and appropriate CNN structure. The proposed model was evaluated on the chatting contents from the one of the famous online games in South Korea and generated 90.4% accuracy.

유비쿼터스 인터페이스 기술에 대한 고찰 (A Study on the Ubiquitous Interface Technologies)

  • 이현재;오창헌
    • 디지털융복합연구
    • /
    • 제4권1호
    • /
    • pp.31-41
    • /
    • 2006
  • This article introduces developing trends of an 'Ubiquitous Interface' as an access method for use of various network resources, such as public wireless networks and un-licensed wireless networks in ubiquitous sensor network environments, without troublesome settings or operations by users. 'Ubiquitous Interface' is a relatively wide sense meaning not only physical interface of specified device or between processors, but anything method for access USN. These 'Ubiquitous Interface' able to provide seamless services that adapt autonomously to the user's movements and changes in the state of wireless resources. Recently, strongly recommended current technologies are RFID, NFC, Multi-mode mobile terminal, UMA mobile terminal and Wearable computer as a future ubiquitous interface. These technologies are have to have flexibility and multiple physical communication channels for seamless service hand over and serve easy connection at huge USN to user. Also, they have to must have flexible software structure. Finally, through the 'Ubiquitous Interface', we will be experience of seamless communication and realize a real liberty of communication.

  • PDF

신경망을 이용한 제어기에 인가된 입력 신호의 추정 (Input Signal Estimation About Controller Using Neural Networks)

  • 손준혁;서보혁
    • 대한전기학회논문지:시스템및제어부문D
    • /
    • 제54권8호
    • /
    • pp.495-497
    • /
    • 2005
  • Recently Neural Network techniques have widely used in adaptive and learning control schemes for production systems. However, generally it costs a lot of time for learning in the case applied in control system. Furthermore, the physical meaning of neural networks constructed as a result is not obvious. And this method has been used as a learning algorithm to estimate the parameter of a neural network used for identification of the process dynamics of s signal input and signal output system and it was shown that this method offered superior capability over the conventional back propagation algorithm. This controller is designed by using three-layered neural networks. The effectiveness of the proposed Neural Network-based control scheme is investigated through an application for a production control system. This control method can enable a plant to operate smoothy and obviously as the plant condition varies with any unexpected accident. This paper goal estimate input signal about controller using neural networks.