• The Korean Journal of Applied Statistics
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• v.29 no.5
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• pp.897-906
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• 2016

We augment an unrelated quantitative attribute to Bar-Lev et al.'s model (2004) which is composed of sensitive quantitative variable and scrambled one to present a multiplicative unrelated quantitative randomized response model(MUQ RRM). We also establish theoretical grounds to estimate the sensitive quantitative attribute according to circumstances irrespective of known or unknown unrelated quantitative attribute. Finally, we explore the relationship among the suggested model, Eichhorn-Hayre model, Bar-Lev et al.'s model and Gjestvang-Singh's model, and compare the efficiency of our model with Bar-Lev et al.'s model.

• Journal of the Society of Disaster Information
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• v.14 no.2
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• pp.182-193
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• 2018

Purpose: The purpose of the study is to analyze the relationship between travel behavior and urban spatial characteristics in a hierarchical manner. Method: This study analyzed the relationship between traffic patterns and urban spatial characteristics for 83 cities in Korea by using a hierarchical linear model. Results: It was found that the urban spatial characteristics influenced the choice of transportation mode and travel time with personal attributes. However, the degree of influence on the choice of the means and the time required is relatively low through the policy of changing the city attribute, so the policy effect of mobilizing the land use policy for the traffic is theoretically, but the scale is not bigger than expected. Conclusion: In high density or the bigger scale of the city, the mass transportation system is widely supplied and used, but it does not overcome the drawback that it takes more time than the autos.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.483-491
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• 2016

This study aims to consider the display method of the STA information that holds aesthetic cultural distinctiveness with the capability of immediate recognition of information in the relationship between the exposed time and the degree of cognition. As an consideration on the display method of information in an efficient way according as 'information attributes', the purpose of this study is to identify the visualization attributes of the STA information and to seek out display methods accordingly. Based on the information design and cognitive psychology, the cognitive features of the STA information have been identified and four visualization attributes of the STA information have been found based on the preceding studies on the information attributes in line with the relationship between exposure frequency and the level of awareness. In terms of information recognition, a metaphor, metonymy, use of indexical image and context, rhetoric, and Mnemonic have been proposed as major display methods for 'Understandable' and 'Conciseness', which are the major visualization attributes of the STA information while humor, parody, distinctiveness, friendliness, kitsch, formative beauty and newness have been suggested as the major display methods of 'Relevance' and 'Valuable', which are the major visualization attributes from the perspective of sensitive perception of information. Based on the results of this study, I'm planning to come up with display methods and to proceed with analyzing the relationship of the degree of cognition in association with context.

• The Journal of the Korea Contents Association
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• v.4 no.2
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• pp.36-42
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• 2004

This paper describes the Korean Question answering system using the syntactic-relation information d verbs to overcome lack of reliable knowledge and linguistic resources. The syntactic-relation information consists d the original form d a verb, usual usage pattern, semantic category of each dependent noun, synonym verbs and passive verbs. We use the syntactic-relation information to parse sentences or phrases with usual usage pattern of the verb and semantic conditions of dependent components on the verb. We also use that information to parse answer candidate sentences, and find an answer from questioned case slot. Our experiments that usage of the syntactic-relation information of verbs to mm lack of reliable knowledge and linguistic resources can be utilized efficiently for the Korean question answering system.

• Journal of Intelligence and Information Systems
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• v.9 no.1
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• pp.179-193
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• 2003

Clustering is a data mining method which help discovering interesting data groups in large databases. In traditional data clustering, similarity between objects in the cluster is measured by pairwise similarity of objects. But we devise an advanced measurement called item similarity in this paper, in terms of nature of clustering transaction data and use this measurement to perform clustering. This new algorithm show the similarity by accepting the concept of relationship between different attributes. With this item similarity measurement, we develop an efficient clustering algorithm for target marketing in each group.

• Science of Emotion and Sensibility
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• v.9 no.1
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• pp.9-17
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• 2006

As is commonly said, music is 'language of emotions.' It is because sound is a plentiful modality to communicate the human sensibility information. However, most researches of auditory displays were focused on improving efficiency on user's performance data such as performance time and accuracy. Recently, many of researchers in auditory displays acknowledge that individual preference and sensible satisfaction may be a more important factor than the performance data. On this ground, in the present study we constructed the sound sensibility dimensions ('Pleasure', 'Complexity', and 'Activity') and systematically examined the attributes of sound on the sensibility dimensions and analyzed the meanings. As a result, sound sensibility dimensions depended on each sound attributes , and some sound attributes interact with one another. Consequently, the results of the present study will provide the useful possibilities of applying the affective influence in the field of auditory displays needing the applications of the sensibility information according to the sound attributes.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.93-103
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• 2015

Residential environment is not only the physical aspects affected by the unique characteristics of the residents, social, economic, cultural, etc. are closely related to many environmental factors. This research is based on choice attribute theory that substantially explains how housing choice attributes affect loyalty via image, perceived value in Secho. This paper investigate empirically relationship between selection properties of residential environment and loyalty, moderating effect of image and perceived value. Results were computed using SPSS 20.0 statistical analysis programs. The results are summarized as follows. First, The elements of choice attribute are divided into six factor, such as regional reputation, green environment, convenience, property value, safety, housing status. In the results of the analyses, housing choice properties gives a positive influence to the loyalty. Second, testing its mediating role, I use the three regression equation models by Baron and Kenny. When the mediator effect of image, perceived value was represented, the effect of image and perceived value was statistically significant. Thus, the mediating role of image and perceived value was supported. It means the higher image and perceived value can enhance loyalty of Secho.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.13-23
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• 2022

In this study we leveraged a probing method to evaluate how a pre-trained L2 LSTM language model represents sentences with relative and coordinate clauses. The probing experiment employed adapted models based on the pre-trained L2 language models to trace the syntactic properties of sentence embedding vector representations. The dataset for probing was automatically generated using several templates related to different sentence structures. To classify the syntactic properties of sentences for each probing task, we measured the adaptation effects of the language models using syntactic priming. We performed linear mixed-effects model analyses to analyze the relation between adaptation effects in a complex statistical manner and reveal how the L2 language models represent syntactic features for English sentences. When the L2 language models were compared with the baseline L1 Gulordava language models, the analogous results were found for each probing task. In addition, it was confirmed that the L2 language models contain syntactic features of relative and coordinate clauses hierarchically in the sentence embedding representations.

• Journal of Distribution Research
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• v.11 no.2
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• pp.1-27
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• 2006

The purpose of this research is to investigate effects of perceived attributes of a salesperson on the customer s satisfaction with the salesperson. cross-buying intentions, and intentions to recommend the retailer, in the context of consumer durable goods. The data for analysis was obtained from 252 consumers who experienced buying consumer durable goods in a metropolitan area. Our results show as following: first, the effects of perceived attributes of the salesperson such as expertise, trustworthiness, likability, and customer orientation, have a significant influence on customer's satisfaction with salesperson; second perceived customer-orientation of salesperson affects customer's satisfaction with the retailer; third, a customer s satisfaction with salesperson not only plays a mediating role between perceived attributes of the salesperson and the customer's satisfaction with retailer but also between perceived attributes of salesperson and cross-buying intentions and intentions to recommend the retailer; and fourth customer's satisfaction with retailers performs a mediating role between perceived attributes of the salesperson and cross-buying intentions or recommendation intentions of retailers. In addition, managerial implications are suggested for industry practitioners.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.764-772
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• 2003

The main thrust of our talk will be based on our experience in developing and applying an attribute-based classification technique in the context of an operational answer set driven retrieval system. To alleviate the difficulty and reduce the cost of manually constructing and maintaining answer sets, i.e., knowledge base, we have devised a new method of automating the answer document selection process by using the notion of attribute-based classification, which is in and of itself novel. We attempt to explain through experiments how helpful the proposed method is for the knowledge base construction process.