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In the Log Cabin with My Favorite Player: Appreciating Traditional American Masculinity Through Homoerotic Language in Baseball Fandom

  • Shin, Hyerin;Jie, Sue Hyun
    • American Studies
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    • v.42 no.1
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    • pp.133-159
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    • 2019
  • On the website r/NYYankees, a sub-forum ("subreddit") of Reddit is devoted to the Major League Baseball team New York Yankees, with its predominantly male users showing their appreciation for baseball heroes by expressing erotic desires towards the players. When a player performs well, the subreddit is filled with admiration of desires to become the player's intimate lover-explicitly expressed by "male" fans. This paper explains the phenomenon of young male fans' desire for the now-lost model of traditional masculinity of domination and control, displayed in the context of baseball players' dominant performances. The discrepancy between a fan's non-homosexual real-world self and his homoerotic language on the subreddit is explained using the "performative fandom" theory, developed by Osborne and Coombs borrowing Butler's notion of performativity. This paper suggests how this desire for traditional masculinity serves as recognition to the collapse of masculinity in the modern American society.

Metonymy Resolution based on Neural Approach (딥러닝 방식을 이용한 환유 해소)

  • Whang, Taesun;Lee, Chanhee;Yang, Kisu;Lee, Dongyub;Koo, Youngeun;Jeon, Taehee;Lim, Heuiseok
    • Annual Conference on Human and Language Technology
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    • 2019.10a
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    • pp.375-379
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    • 2019
  • 언어학에서의 환유법은 표현을 위해 빌려온 대상이 다양한 의미로 해석 가능하기에 매우 어렵고 난해한 분야이다. 환유의 특성 상 주어진 엔티티의 환유 여부를 구분하기 위해서는 앞뒤 단어와의 연관성 뿐만 아니라 문장 전체의 문맥 정보에 대한 고려가 필수적이다. 최근 이러한 문맥 정보를 고려하여 학습된 다양한 모델들이 등장하면서 환유법에 대한 연구를 하기에 좋은 환경이 구축되고 있다. 본 논문에서는 언어학적 자질 정보를 최소화한 딥러닝을 이용한 환유 해소 모델을 제안한다. LSTM 기반의 feature-based 모델과 및 BERT, XLNet, RoBERTa와 같은 fine-tuning 모델들에 대한 실험을 진행하였다. 실험 결과, fine-tuning 모델들이 baseline과 비교하여 뛰어난 성능 향상을 가져왔으며, 특히 XLNet 모델은 두 개의 환유 해소 데이터 SemEval 2007와 ReLocaR에 대해 각각 90.1%과 95.8%의 정확도를 보여주었다.

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VTS English Communication Proficiency Criteria based on G1132 VTS VHF Voice Communication

  • Seung-Hee Choi
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.19-20
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    • 2023
  • IALA Guideline 1132 is intended to assist authorities in implementing the procedures described in IALA Recommendation R1012: VTS Communications with the objective of harmonizing VTS communications through the use of standard message structure and phraselogly. For this reason, it is recommended that VTS Authorities put adequate procedures in place to ensure its consistent and correct implementation for the actual VTS operation as is now being considered in IALA as part of the VTS English language proficiency test. In light of the 2022 publication of IALA Guideline 1132: VTS Voice Communications and Phraseology, in this sense, the potential evaluative variables will be studied in the context of this presentation.

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Applying a Forced Censoring Technique with Accelerated Modeling for Improving Estimation of Extremely Small Percentiles of Strengths

  • Chen Weiwei;Leon Ramon V.;Young Timothy M.;Guess Frank M.
    • International Journal of Reliability and Applications
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    • v.7 no.1
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    • pp.27-39
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    • 2006
  • Many real world cases in material failure analysis do not follow perfectly the normal distribution. Forcing of the normality assumption may lead to inaccurate predictions and poor product quality. We examine the failure process of the internal bond (IB or tensile strength) of medium density fiberboard (MDF). We propose a forced censoring technique that closer fits the lower tails of strength distributions and better estimates extremely smaller percentiles, which may be valuable to continuous quality improvement initiatives. Further analyses are performed to build an accelerated common-shaped Weibull model for different product types using the $JMP^{(R)}$ Survival and Reliability platform. In this paper, a forced censoring technique is implemented for the first time as a software module, using $JMP^{(R)}$ Scripting Language (JSL) to expedite data processing, which is crucial for real-time manufacturing settings. Also, we use JSL to automate the task of fitting an accelerated Weibull model and testing model homogeneity in the shape parameter. Finally, a package script is written to readily provide field engineers customized reporting for model visualization, parameter estimation, and percentile forecasting. Our approach may be more accurate for product conformance evaluation, plus help reduce the cost of destructive testing and data management due to reduced frequency of testing. It may also be valuable for preventing field failure and improved product safety even when destructive testing is not reduced by yielding higher precision intervals at the same confidence level.

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Implementation of π/4-DQPSK Modem for Maritime Digital Communication in VHF Band (VHF 대역 해상 디지털 통신용 π/4-DQPSK 모뎀 구현)

  • Kwak, Jaemin
    • Journal of Advanced Navigation Technology
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    • v.18 no.6
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    • pp.541-545
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    • 2014
  • Rec. ITU-R M.1842-1 is international recommendation for VHF band communication guideline in maritime mobile service RR Appendix 18 channels. In this paper, we simulate 28.8 kbps VHF ${\pi}$/4-DQPSK digital baseband modem compatible with the recommendation, then it is designed and implemented with FPGA. Cazac sequence is used as a preamble since packet format is not defined untill now in the recommendation. Baseband modem is designed by VHDL language and implemented on NEXYS4 development platform having Atrix7 FPGA chip from Xilinx. For wireless communication test of total prototype system, ADC/DAC board is implemented and EV9730 RF module is utilized. From the experimental results, implemented FPGA modem shows spectral bandwidth of 25 kHz and successful data exchanges between tx and rx communication platform.

Text Mining Analysis on the Research Field of the Coastal and Ocean Engineering Based on the SCOPUS Bibliographic Information (해안해양공학 연구 분야의 SCOPUS 서지정보 Text Mining 분석)

  • Lee, Gi Seop;Cho, Hong Yeon;Han, Jae Rim
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.30 no.1
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    • pp.19-28
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    • 2018
  • Numerous research papers have been accumulated due to the development and computerization of bibliometrics. This made it difficult to review all of the related papers published worldwide to conduct the study. However, due to the development of Natural language processing techniques, the tendency analysis of published research papers has become easier. In this study, text mining analysis using the statistical computing language R was carried out based on the bibliographic information of SCOPUS DB (Data Base) in the field of coastal and ocean engineering. As expected, the term 'wave' predominates, and it was confirmed that numerical analysis and hydraulic experiments were still dominant from the terms 'numerical model', 'numerical simulation', and 'experimental study'. In addition, recent use of the term 'wave energy' related to marine energy has been recognized. On the other hand, it was quantitatively confirmed that the frequency of connection between 'wave', and 'height' or 'energy' prevailed, and suggested the possibility of high resolution analysis by detailed field and period in the future.

Analysis on Big data, IoT, Artificial intelligence using Keyword Network (빅데이터, IoT, 인공지능 키워드 네트워크 분석)

  • Koo, Young-Duk
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.6
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    • pp.1137-1144
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    • 2020
  • This paper aims to provide strategic suggestions by analyzing technology trends related to big data, IoT, and artificial intelligence. To this end, analysis was performed using the 2018 national R&D information, and major basic analysis and language network analysis were performed. As a result of the analysis, research and development related to big data, IoT, and artificial intelligence are being conducted by focusing on the basic and development stages, and it was found that universities and SMEs have a high proportion. In addition, as a result of the language network analysis, it is judged that the related fields are mainly research for use in the smart farm and healthcare fields. Based on these research results, first, big data is essential to use artificial intelligence, and personal identification research should be conducted more actively. Second, they argued that full-cycle support is needed for technology commercialization, not simple R&D activities, and the need to expand application fields.

An RDB to RDF Mapping System Considering Semantic Relations of RDB Components (관계형 데이터베이스 구성 요소의 의미 관계를 고려한 RDB to RDF 매핑 시스템)

  • Sung, Hajung;Gim, Jangwon;Lee, Sukhoon;Baik, Doo-Kwon
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.1
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    • pp.19-30
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    • 2014
  • For the expansion of the Semantic Web, studies in converting the data stored in the relational database into the ontology are actively in process. Such studies mainly use an RDB to RDF mapping model, the model to map relational database components to RDF components. However, pre-proposed mapping models have got different expression modes and these damage the accessibility and reusability of the users. As a consequence, the necessity of the standardized mapping language was raised and the W3C suggested the R2RML as the standard mapping language for the RDB to RDF model. The R2RML has a characteristic that converts only the relational database schema data to RDF. For the same reasons above, the ontology about the relation data between table name and column name of the relational database cannot be added. In this paper, we propose an RDB to RDF mapping system considering semantic relations of RDB components in order to solve the above issue. The proposed system generates the mapping data by adding the RDFS attribute data into the schema data defined by the R2RML in the relational database. This mapping data converts the data stored in the relational database into RDF which includes the RDFS attribute data. In this paper, we implement the proposed system as a Java-based prototype, perform the experiment which converts the data stored in the relational database into RDF for the comparison evaluation purpose and compare the results against D2RQ, RDBToOnto and Morph. The proposed system expresses semantic relations which has richer converted ontology than any other studies and shows the best performance in data conversion time.

XQL Query Processing System using XML Views (XML뷰를 이용한 XQL질의처리 시스템)

  • 김천식;손기락
    • Journal of Korea Multimedia Society
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    • v.5 no.2
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    • pp.129-140
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    • 2002
  • XML has become a standard for exchanging document data on the web. Currently, most of the commercial data are stored in the relational database system. It requires to converse the document into XML form to transfer the data to a relational database system. The purpose of this paper is to research on a query processing system which will make it easy and convenient to raise a query and derive results from the document data stored in a relational database. We have designed a XML view called R2X(Relational To XML). With this R2X view, users can view a relational database as XML documents. Using R2X views, we design and implement a Query processing system which will make it expedient to form a query with a XML query language called XQL.

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Quality of Life of Older Adult with Home Health Services - Applied PRECEDE Model - (취약계층 노인의 삶의 질에 영향을 미치는 요인 - PRECEDE 모형 적용 -)

  • Park, Kum-Hwa;Choi, Yeon-Hee
    • The Korean Journal of Rehabilitation Nursing
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    • v.13 no.1
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    • pp.32-43
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    • 2010
  • Purpose: The purpose of this study was to determine factors that affect poor quality of life (QOL) of older adults who received home health service. Method: The sample 492 older adults participated in the study. The QOL was measured using the scale of QOL of Ware and other data were collected through face-to-face interviews from September to August, 2009. Results: The level of QOL was moderate (Mean 24.4, SD 7.4). The QOL was poorer in older adults (p<.05) and in those living alone (p<.01) compared to older adults and those living with couple or family respectively. The QOL was positively correlated with a sense of mastery (r=.213, p<.05), connection of health (r=.160, p<.05) and a cognitive function (r=.119, p<.01), and negatively correlated with Activities of Daily Living (r=-.266, p<.01) and Instrumental Activities of Daily Living (r=-.339, p<.01). Sense of mastery, connection of health & welfare, and IADL were significant predictors of QOL. Conclusion: Finding suggest that home health service program should incorporate strategies for increasing sense of mastery and capability of performing IADL, and strengthening connection of health service that may improve QOL of older home health service recipients.