• 유통과학연구
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• 제20권12호
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• pp.23-33
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• 2022

Purpose: The objective of the study is to examine the role of approval goals, subjective norm, internal motivation, external motivation, attitude towards behavior, and perceived behavioral control on retail consumer's intention to consume fortified food in Pakistan. Research design, data, and methodology: The study was quantitative in nature. That is why the data were collected from 384 respondents approaching retail stores of Lahore, Gujranwala, and Faisalabad using mall intercept survey. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the data. Results: The results show that approval goals significantly influence subjective norms. Secondly, subjective norms positively influence internal and external motivation. Thirdly, attitude towards behavior and internal motivation significantly impacted on intention. However, the findings of the study show, non-significant relationship of external motivation and perceived behavioral control with intention to consume fortified food. Conclusion: Theory of reasoned goal pursuit was used to investigate consumer intention to consume fortified food in Pakistan. This study is helpful for the marketers to create a word-of-mouth strategy to enhance positive word of mouth for the company, which ultimately beneficial to develop the distribution strategy of the firm. Fortified food is full of health enriched ingredients which is beneficial for society at large.

• 산경연구논집
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• 제12권2호
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• pp.19-27
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• 2021

Purpose: This study investigated the impact of key factors such as service quality, perceived benefit and brand familiarity on a consumer's intention to order online food delivery (OFD). In addition, mediating effect of electronic word of mouth (e-WOM) between relationships among selected key variables and OFD purchase intention is also assessed. Research design, data and methodology: This explanatory, quantitative study employed convenience sampling and collected data through online structured questionnaire from 304 respondents who are users of OFD apps based in greater Klang valley region of Malaysia. The data was then subjected to normality and reliability assessment followed by confirmatory factor analysis, validity assessment and structural equation modelling using IBM SPSS AMOS 24.0. Results: Findings revealed that service quality, perceived benefits and brand familiarity affects purchase intention positively and significantly. Perceived benefits demonstrated highest impact on purchase intention followed by brand familiarity and service quality. Findings also suggest that e-WOM fully mediates relationship between brand familiarity and purchase intention, however, the same was not observed for remaining two variables. Conclusions: The study has enriched OFD literature by investigating impact of selected key factors on purchase intention in the context of OFD. Implications, limitations and future research avenues are then discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.1833-1848
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• 2022

Named entity recognition (NER) is an important basic task in the field of Natural Language Processing (NLP). Recently deep learning approaches by extracting word segmentation or character features have been proved to be effective for Chinese Named Entity Recognition (CNER). However, since this method of extracting features only focuses on extracting some of the features, it lacks textual information mining from multiple perspectives and dimensions, resulting in the model not being able to fully capture semantic features. To tackle this problem, we propose a novel Multi-view Semantic Feature Fusion Model (MSFM). The proposed model mainly consists of two core components, that is, Multi-view Semantic Feature Fusion Embedding Module (MFEM) and Multi-head Self-Attention Mechanism Module (MSAM). Specifically, the MFEM extracts character features, word boundary features, radical features, and pinyin features of Chinese characters. The acquired font shape, font sound, and font meaning features are fused to enhance the semantic information of Chinese characters with different granularities. Moreover, the MSAM is used to capture the dependencies between characters in a multi-dimensional subspace to better understand the semantic features of the context. Extensive experimental results on four benchmark datasets show that our method improves the overall performance of the CNER model.

• 정보처리학회논문지B
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• 제18B권6호
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• pp.405-414
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• 2011

국내에서 가장 일반적으로 사용되고 있는 규칙 기반 오류 검출 방법은 언어 전문가가 한국어 문서에서 자주 발생하는 오류에 대한 검출 규칙을 경험적으로 구축하고 있다. 그러나 이렇게 경험적으로 규칙을 만들면 새로운 패턴의 문장이 나타날 때마다 규칙이 수정되어야 하므로 일관성 있는 오류 검사 및 교정을 기대할 수 없다. 본 논문에서는 이를 해결하려고 최근 개발되고 있는 어휘의미망 중에서 KorLex와 같은 정규화된 언어 자원을 활용하여 단어들의 범주 정보를 추출하고 이를 이용하여 오류 결정 규칙을 일반화한다. 그러나 현재 구축된 KorLex에는 명사의 계층관계 정보는 구축되어 있지만, 문장 요소와의 관계 정보, 즉, 격틀 정보가 부족하다. 본 논문에서는 용언 의미 오류 결정 규칙으로 사용할 선택제약 명사 클래스를 정보이론에 기초한 MDL과 Tree Cut Model을 활용하여 추출하고 이러한 선택제약 명사 클래스를 사용하여 문법 검사기 규칙을 일반화하는 방안을 제안한다. 실험 결과, 혼동하기 쉬운 네 개의 용언에 대해 목적어로 사용된 명사를 선택제약 명사 클래스로 일반화하여 문법 검사기 오류 결정 규칙 수를 평균 64.8%로 줄였고 기존 명사를 사용한 문법 검사기보다 정확도 측면에서 평균 약 6.2%정도 향상된 결과를 얻을 수 있었다.

• 복식
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• 제52권5호
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• pp.91-107
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• 2002

The purpose of this study was to investigate the experimental design by using deconstructive design and mobile design depicted on Hussein Chalayan' works. Hussein Chalayan, the Turkish-Cypriot who is based in London, says' Challenging is the best word for me'. And so word, 'radical' that has difficult connotations was chosen for this study It implies two menainigs for the word. The first thing is "extreme" - something that is drastic. And 'Applied to clothes', it can probably mean "experimental". He has iconoclastic ideas and his ramp shows are always high on concept, experimentation of art and utility. His approach to fashion derives from philosophical and intellectual theories of deconstruction and mobility, which he expresses through his designs. Deconstructionism, in fashion, rejects customary rules and breaks all conventions. It questions aesthetic norms about bodily proportions and the criteria of beauty, emphasizes the adding on, or discovery of, an irrational moment, and reveals the processes of tailoring in clothing. The shape and the construction of the garment is more important than the color. Cuts. tears, asymmetries, matching different materials are among the most evident features of the deconstructive design. And Chalayan performed the mobile design of transforming furniture into clothes. Chair covers became dresses. a coffee table became a skirt which were designed by Chalayan, with geometric and architectural references. Chalayan says he was inspired by the idea of refugees fleeing. Besides Chalayan uses clothing as an art to reinterpret and reform the human body in a continuous tour de force of body/identity conceptualism and dressmaking. He reflect the body's function in the cultural context of architecture, science, or nature - and then attempt to translate his findings into clothing.dings into clothing.

• 인지과학
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• 제23권3호
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• pp.295-322
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• 2012

본 연구에서는 벡터 공간 모델과 HAL (Hyperspace Analog to Language)을 적용해서 단어 의미 유사성을 군집한다. 일정한 크기의 문맥을 통해서 단어 간의 상관성을 측정하는 HAL을 도입하고(Lund and Burgess 1996), 상관성 측정에서 고빈도와 저빈도에 다르게 측정되는 왜곡을 줄이기 위해서 벡터 공간 모델을 적용해서 단어 쌍의 코사인 유사도를 측정하였다(Salton et al. 1975, Widdows 2004). HAL과 벡터 공간 모델로 만들어지는 공간은 다차원이므로, 차원을 축소하기 위해서 PCA (Principal Component Analysis)와 SVD (Singular Value Decomposition)를 적용하였다. 유사성 군집을 위해서 비감독 방식과 감독 방식을 적용하였는데, 비감독 방식에는 클러스터링을 감독 방식에는 SVM (Support Vector Machine), 나이브 베이즈 구분자(Naive Bayes Classifier), 최대 엔트로피(Maximum Entropy) 방식을 적용하였다. 이 연구는 언어학적 측면에서 Harris (1954), Firth (1957)의 분포 가설(Distributional Hypothesis)을 활용한 의미 유사도를 측정하였으며, 심리언어학적 측면에서 의미 기억을 설명하기 위한 모델로 벡터 공간 모델과 HAL을 결합하였으며, 전산적 언어 처리 관점에서 기계학습 방식 중 감독 기반과 비감독 기반을 적용하였다.

• 한국병원경영학회지
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• 제15권4호
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• pp.143-164
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• 2010

Although word-of-mouth (WOM) has been regarded as one of the very important topics in consumer research, its effects on other aspects of consumer behavior have been scarcely investigated in the context of health-care service industry. The WOM literature also suggests that it is essential for medical care service organizations in fierce competition to adopt WOM communication as a competitive weapon so as to be able to stay ahead of competition. The goal of this research was set to empirically study various relationships between antecedent variables, WOM acceptance, and purchase of medical care services. Specifically, drawing on the WOM literature, eight antecedents to WOM acceptance were selected first. Based on the relevant literature, seven sets of hypotheses on the relationships among antecedents to WOM, WOM acceptance, purchase intention and purchase of medical services were developed. Data were collected via an on-line survey. A total of 571 out of 600 responses turned out to be usable. The major findings of this study can be summarized as follows: First, 6 out of 8 antecedent variables to WOM acceptance were found to be positively affect WOM acceptance. However, the effects of (1) "newness of technology" pertaining to medical care service characteristics and (2) "involvement in health", one of receiver characteristics, were found to be insignificant. Second, most moderating effects on the relationship between purchase and purchase intention of medical care services were found to be insignificant with one exception. That is, elapse of time was found to be a marginally significant moderator on the relationship between purchase and purchase intention of medical care services. Third, it was found that the higher the WOM acceptance, the higher the purchase intention of medical care services. Finally, the effect of WOM acceptance was found to be particularly strong when WOM contents were perceived as useful and positive. Overall, it seems essential for hospitals to actively adopt WOM communication as a competitive marketing tool if they plan to improve their business performance. In this respect, the current study may serve to improve the business performance of hospitals by way of providing theoretical and empirical evidence on the effects of WOM communication variables on WOM acceptance and medical care service purchase.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.3991-4010
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• 2021

The Question Similarity Measurement of Chinese Crop Diseases and Insect Pests (QSM-CCD&IP) aims to judge the user's tendency to ask questions regarding input problems. The measurement is the basis of the Agricultural Knowledge Question and Answering (Q & A) system, information retrieval, and other tasks. However, the corpus and measurement methods available in this field have some deficiencies. In addition, error propagation may occur when the word boundary features and local context information are ignored when the general method embeds sentences. Hence, these factors make the task challenging. To solve the above problems and tackle the Question Similarity Measurement task in this work, a corpus on Chinese crop diseases and insect pests(CCDIP), which contains 13 categories, was established. Then, taking the CCDIP as the research object, this study proposes a Chinese agricultural text similarity matching model, namely, the AgrCQS. This model is based on mixed information extraction. Specifically, the hybrid embedding layer can enrich character information and improve the recognition ability of the model on the word boundary. The multi-scale local information can be extracted by multi-core convolutional neural network based on multi-weight (MM-CNN). The self-attention mechanism can enhance the fusion ability of the model on global information. In this research, the performance of the AgrCQS on the CCDIP is verified, and three benchmark datasets, namely, AFQMC, LCQMC, and BQ, are used. The accuracy rates are 93.92%, 74.42%, 86.35%, and 83.05%, respectively, which are higher than that of baseline systems without using any external knowledge. Additionally, the proposed method module can be extracted separately and applied to other models, thus providing reference for related research.

• Asia Marketing Journal
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• 제13권1호
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• pp.1-26
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• 2011

도시 생활의 질에 대한 주민들의 인식은 긍정적인 도시 브랜드 이미지 형성에 기여할 뿐 아니라, 도시에 대한 만족, 신뢰, 충성도 등 도시와의 전반적 관계의 질에도 중요한 영향을 미친다. 도시 생활의 질이 도시 마케팅에 중요한 요소임에도 불구하고, 기존 측정도구들이 소도시 지역사회 중심의 커뮤니티 웰빙 측정도구들이어서, 대도시에서의 주관적 도시 생활의 질(Quality of City Life)을 측정하기 위한 측정도구가 요구되는 실정이다. 본 연구의 목적은 대도시 시민들이 인지하는 도시 생활의 질(Quality of City Life)에 관련된 측정 도구를 개발하여 도시 마케팅의 기초 자료로 활용하는데 있다. 시민들이 인지하는 도시 생활의 질이란 시민들이 도시에서의 생활을 통해 전반적으로 경험하는 욕구 만족과 행복감의 정도를 의미한다. 본 연구에서는 도시 생활의 질 측정도구를 개발하기 위해 문헌조사와 전문가 심층 인터뷰를 통해 기초문항을 도출하고, 사전 조사를 거쳐 서울시의 25구에 사는 시민 507명을 거주 구역별 할당방식에 의한 설문 조사를 실시하였다. 조사 결과 신뢰도와 개념 타당도가 있는 도시생활의 질 측정문항을 도출하였다. 도시 생활의 질 측정도구는 서울시의 서비스에 대한 만족, 서울시에 대한 신뢰, 시민 자부심 및 구전의향에 긍정적 영향을 미치는 예측 타당도를 가지는 것으로 나타났다.

• The Journal of the Acoustical Society of Korea
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• 제23권4E호
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• pp.112-119
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• 2004

This paper presents a method for the automatic recognition of pitch accents with no prior knowledge about the phonetic content of the signal (no knowledge of word or phoneme boundaries or of phoneme labels). The recognition algorithm used in this paper is a time-delay recurrent neural network (TDRNN). A TDRNN is a neural network classier with two different representations of dynamic context: delayed input nodes allow the representation of an explicit trajectory F0(t), while recurrent nodes provide long-term context information that can be used to normalize the input F0 trajectory. Performance of the TDRNN is compared to the performance of a MLP (multi-layer perceptron) and an HMM (Hidden Markov Model) on the same task. The TDRNN shows the correct recognition of $91.9{\%}\;of\;pitch\;events\;and\;91.0{\%}$ of pitch non-events, for an average accuracy of $91.5{\%}$ over both pitch events and non-events. The MLP with contextual input exhibits $85.8{\%},\;85.5{\%},\;and\;85.6{\%}$ recognition accuracy respectively, while the HMM shows the correct recognition of $36.8{\%}\;of\;pitch\;events\;and\;87.3{\%}$ of pitch non-events, for an average accuracy of $62.2{\%}$ over both pitch events and non-events. These results suggest that the TDRNN architecture is useful for the automatic recognition of pitch accents.