• Title/Summary/Keyword: new/given information

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Lexical Semantic Information and Pitch Accent in English (영어 어휘 의미 정보와 피치 액센트)

  • Jeon, Yoon-Shil;Kim, Kee-Ho;Lee, Yong-Jae
    • Speech Sciences
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    • v.10 no.3
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    • pp.187-209
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    • 2003
  • In this paper, we examine if the lexical information of the verb and its noun object affects the pitch accent patterns of the verb phrase focus. Three types of verb-object combinations with different semantic weights are discussed: when the verbs have optional direct objects, when the objects have the greater semantic weight relative to verbs, and when the verbs and the objects have equal semantic weight. Argument-structure-based works note that the pitch accent location in a focused phrase is closely related to the argument structure and contextual information. For example, it has been argued that contextually new noun objects receive accent while given noun objects don't. Contrary to nouns, verbs can be accented or not in verb phrase focus regardless of whether they are given information or new information (Selkirk 1984, 1992). However, the production experiment in this paper shows that the accenting of verbs is not fully optional, but influenced by the lexical semantic information of the verbs. The accenting of noun objects with given information is possible and the deaccenting of new noun objects also occurs depending on the lexical information of the noun objects. The results demonstrate that in addition to argument structure and information by means of context sentences, the lexical semantic information of words influences the pitch accent location in focused phrase.

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An Experimental Study on the Relationship between Information Type and New Product Development Process (신제품 개발 과정과 정보 유형 간의 관계에 관한 실험적 연구)

  • 오경석;김진우
    • Korean Management Science Review
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    • v.15 no.1
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    • pp.13-31
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    • 1998
  • In this paper, we examine the relationship between information type and new product development process. Information that was provided for new product development can be divided into two categories. One was relative information that could be used as a basis for comparison such as patent data. The other was absolute information that must be fulfilled in the new product such as key customers requirements. An experiment was conducted with staffs in an R&D department in order to analyze the impact of the different information types on the development process of new product. It was found that the group with the absolute information recognized the given information repeatedly, which in turn results in a highly technical idea with good teamwork. The group with the relative information created a superior product with better application, appearance and product efficiency through the frequent refinements of given ideas. This paper concludes with the implications of the results to the new product development process and supporting information systems.

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Relation between Information Structure and Clause Internal Pauses in the Spontaneous Discourse in Korean

  • Yune, Young-Sook
    • Speech Sciences
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    • v.12 no.4
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    • pp.129-139
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    • 2005
  • This paper investigates any possible correlation between the information structure and the occurrence of clause internal pauses in the spontaneous discourse. One of the possible functions of pause is its capacity to signal the information structure of the discourse. However, this aspect was not much explored in Korean spontaneous speech. In the present study, information structure of spontaneous speech was defined for each word or word group on the basis of the information structure analysis model proposed by Van Donzel (1999) and Roulet (1991, 1997). Thus, at a local level (words or word groups) of discourse structure, a distinction was made between three types of information, new, given and inferable. The results showed that clause internal pauses tend to appear more frequently before new information than other types of information. However compared to the total number of words or word groups it was not noticed any specific ordering concerning different kind of information status and pausing. It was however found that clause internal pauses did not appear randomly. The majority of them occurred at the initial part of the clause or the sentence. This tendency was mostly related to the division of sentence (or clause) into topic and comment. Thus, the role of pauses as a marker of information structure seems to be less effective in spontaneous discourse.

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Understanding the Characteristics of Students' Problem Posing (학생들의 문제 만들기의 특징에 대한 연구)

  • Shin, Maria;Na, Gwisoo
    • Journal of Elementary Mathematics Education in Korea
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    • v.16 no.2
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    • pp.269-293
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    • 2012
  • This study is intended to figure out how the 6th grade students carry out newly added standards regard to the problem solving in the revised mathematics curriculum in 2007 and 2009, which are 'finding useless information in a given problem', 'finding insufficient information in a given problem', and 'posing new problem by changing conditions of the given problem.' In order to achieve this goal, we examined the characteristics of 200 elementary students' problem posing. We constructed and used the survey sheet which consisted of 6 items relevant to 'finding useless information in a given problem', 'finding insufficient information in a given problem', and 'posing new problem by changing conditions of the given problem.'

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Mutual Information as a Criterion for Evaluating the Degree of the Orthogonality of Nearly Orthogonal Arrays (근사직교배열의 직교성을 평가하기 위한 측도로서의 상호정보)

  • Jang, Dae-Heung
    • Journal of Korean Society for Quality Management
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    • v.36 no.3
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    • pp.13-21
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    • 2008
  • The orthogonality is an important property in the experimental designs. When we use nearly orthogonal arrays(for example, supersaturated designs), we need evaluate the degree of the orthogonality of given nearly orthogonal arrays. We can use the mutual information as a new criterion for evaluating and testing the degree of the orthogonality of given nearly orthogonal arrays.

New Fashion Brand Evaluation Attributes related to Risk Perception and Information Search (신규 패션브랜드 평가속성에 대한 소비자 위험지각과 정보탐색에 관한 연구)

  • Kim Hanna;Rhee Eun-Young
    • Journal of the Korean Society of Clothing and Textiles
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    • v.29 no.5 s.142
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    • pp.727-736
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    • 2005
  • The purpose of this study was to identify the new fashion brand evaluation attributes influenced by risk perception and its relationship with information search. As for the method of the research, questionnaires were given to 311 consumers who just finished shopping at new fashion brand stores. The results of this study were as follows: 1) New fashion brand evaluation attributes consisted of five factors; product experience attributes, celebrity credence attributes, product search attributes, brand credence attributes, salesperson search attributes. 2) New fashion brand evaluation attributes were found to be significantly influenced by risk perception. 3) The amount of information seeking and the use of information sources were found to be significantly related to the new fashion brand evaluation attributes. 4) The variables influencing on the new fashion brand evaluation attributes were age and monthly clothing expenses.

A Study on 24/25 I-NRZI Modulation (24/25 I-NRZI 변조기 설계에 관한 연구)

  • 박기서;박종진조원경
    • Proceedings of the IEEK Conference
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    • 1998.06a
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    • pp.277-280
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    • 1998
  • The paper provides an overview of those requirements. A detailed description is given of the construction of the new channel code, called 24/25 code, that compiles with the given constraints and involves only a minor drawback in terms of the overhead needs. The servo position information is recorded as low frequency componets, pilot tracking tones, which are embedded in the recorded stream of binary digits. Pilot tracking Tones are used to derive head position reference information in camcorders and DVCRs. A simple pilot tone encoder has been designed by using a new approach, "2 path precoder". Owing to this method, the hardware size can be significantly reduced. the correctness of the method has been verified by theoretical analysis and by extensive simulation.imulation.

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Semantic-Based Web Information Filtering Using WordNet (어휘사전 워드넷을 활용한 의미기반 웹 정보필터링)

  • Byeon, Yeong-Tae;Hwang, Sang-Gyu;O, Gyeong-Muk
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.11S
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    • pp.3399-3409
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    • 1999
  • Information filtering for internet search, in which new information retrieval environment is given, is different from traditional methods such as bibliography information filtering, news-group and E-mail filtering. Therefore, we cannot expect high performance from the traditional information filtering models when they are applied to the new environment. To solve this problem, we inspect the characteristics of the new filtering environment, and propose a semantic-based filtering model which includes a new filtering method using WordNet. For extracting keywords from documents, this model uses the SDCC(Semantic Distance for Common Category) algorithm instead of the TF/IDF method usually used by traditional methods. The world sense ambiguation problem, which is one of causes dropping efficiency of internet search, is solved by this method. The semantic-based filtering model can filter web pages selectively with considering a user level and we show in this paper that it is more convenient for users to search information in internet by the proposed method than by traditional filtering methods.

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A NODE PREDICTION ALGORITHM WITH THE MAPPER METHOD BASED ON DBSCAN AND GIOTTO-TDA

  • DONGJIN LEE;JAE-HUN JUNG
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.27 no.4
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    • pp.324-341
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    • 2023
  • Topological data analysis (TDA) is a data analysis technique, recently developed, that investigates the overall shape of a given dataset. The mapper algorithm is a TDA method that considers the connectivity of the given data and converts the data into a mapper graph. Compared to persistent homology, another popular TDA tool, that mainly focuses on the homological structure of the given data, the mapper algorithm is more of a visualization method that represents the given data as a graph in a lower dimension. As it visualizes the overall data connectivity, it could be used as a prediction method that visualizes the new input points on the mapper graph. The existing mapper packages such as Giotto-TDA, Gudhi and Kepler Mapper provide the descriptive mapper algorithm, that is, the final output of those packages is mainly the mapper graph. In this paper, we develop a simple predictive algorithm. That is, the proposed algorithm identifies the node information within the established mapper graph associated with the new emerging data point. By checking the feature of the detected nodes, such as the anomality of the identified nodes, we can determine the feature of the new input data point. As an example, we employ the fraud credit card transaction data and provide an example that shows how the developed algorithm can be used as a node prediction method.