• Title/Summary/Keyword: Intent to Use

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A Study on the Operational Plan for Port Container Terminal Using High Level Architecture (상위체계구조를 이용한 컨테이너 터미널 운영방안 연구)

  • Lee, Sang-Heon;Lee, Chan-Woo
    • IE interfaces
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    • v.17 no.1
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    • pp.128-141
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    • 2004
  • Although a number of container terminal simulators have been developed for various purposes, none of the existing simulators allow the system structure to reuse the system structure depending on application. Our goal is to develop highly reusable, highly inter-operable and flexible container terminal simulation system. The High Level Architecture(HLA) is an architecture for reuse and inter-operation of simulation. It is based on premise that no simulation can satisfy all use and users. An individual simulation or set of simulations developed for one purpose can be applied to another application under the HLA concept of the federation : a composable set of interacting simulations. The intent of the HLA is a structure which will support reuse of capabilities available in different simulations, ultimately reducing the cost and time required to create a synthetic environment for a new purpose, and the possibility of distributed collaborative development of complex simulation applications. In this paper, we discuss the design of a HLA-based port container terminal simulation system. Furthermore, we describe various technical motivations for HLA, the key elements of the architecture and how they are minimum and essential to the goal of reuse and interoperability.

A Design of XML Structure for Digital Signature (디지털 서명을 위한 XML 구조 설계)

  • 표성배
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.4
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    • pp.66-74
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    • 2002
  • Circulation of documents and data has two serious problems in this web-based system. The first of the problems is standardization problem which the flowing documents and data are not always standardized. the other is security problem which secret data can be hacked or cracked, and non-authenticated Person can access and change the contents with malicious intent. Therefore two issues come out on the web-based system, the first is how we can standardize the documents and data and the second is how we can assure safe flowing of them. One way of the standardizing methods is Mark-UP language which uses XML which is extended from SGML to redefine and use documents. And to ensure security of flowing documents we adopt digital signature system using public key and private key The focus of this study is to specify procedures for digital signature on the XML base. and to design XML components for the digital signature to assure information security in circulation of documents and data.

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Development of Deep Learning Models for Multi-class Sentiment Analysis (딥러닝 기반의 다범주 감성분석 모델 개발)

  • Syaekhoni, M. Alex;Seo, Sang Hyun;Kwon, Young S.
    • Journal of Information Technology Services
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    • v.16 no.4
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    • pp.149-160
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    • 2017
  • Sentiment analysis is the process of determining whether a piece of document, text or conversation is positive, negative, neural or other emotion. Sentiment analysis has been applied for several real-world applications, such as chatbot. In the last five years, the practical use of the chatbot has been prevailing in many field of industry. In the chatbot applications, to recognize the user emotion, sentiment analysis must be performed in advance in order to understand the intent of speakers. The specific emotion is more than describing positive or negative sentences. In light of this context, we propose deep learning models for conducting multi-class sentiment analysis for identifying speaker's emotion which is categorized to be joy, fear, guilt, sad, shame, disgust, and anger. Thus, we develop convolutional neural network (CNN), long short term memory (LSTM), and multi-layer neural network models, as deep neural networks models, for detecting emotion in a sentence. In addition, word embedding process was also applied in our research. In our experiments, we have found that long short term memory (LSTM) model performs best compared to convolutional neural networks and multi-layer neural networks. Moreover, we also show the practical applicability of the deep learning models to the sentiment analysis for chatbot.

Preliminary Form Design of Cable Structure using Computer Graphics (컴퓨터 그래픽스를 이용한 케이블 구조의 초기형태 설계)

  • Kim, Nam-Hee;Koh, Hyun-Moo;Hong, Sung-Gul
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.24 no.4
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    • pp.375-382
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    • 2011
  • Nowadays computer graphic softwares have opened a lot of potential by providing parametric modeling and generative algorithms which are useful not only to describe various geometrical shapes but also to implement a designer's intent in terms of modules systematically. This study has proposed a way of developing a module for generating preliminary structural configuration using such potential computer graphics. Especially parametric modeling and generative algorithm are utilized to define various design alternatives, and moreover use of dynamic graphics enables designers to generate a structural form on one side and a force flow diagram correspondingly provided on the other. This ultimately leads to rational preliminary design of a structural form considering its force flow.

A Study on the Factors Affecting Use Behavior of Cloud-based Common Collaboration Platform (클라우드 기반 공통협업플랫폼의 사용행동에 영향을 미치는 요인에 관한 연구)

  • Kim, San-Hae;Lee, Hong-Jae;Han, Kyeong-Seok;Kwon, Tae-Hyun
    • Journal of Digital Contents Society
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    • v.19 no.6
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    • pp.1151-1160
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    • 2018
  • The study has been derived through the empirical analysis so as to find the usage behavior of cloud-based common collaboration platform. Independent variables of the cloud-based platform have been selected as flexibility, reliability, versatility, security and interaction, which have been selected by utilizing UTAUT theory. After selecting the use intent as a parameter, usage behavior was been finally selected as a dependent variable. The firm type was used as a control variable. We used AMOS 23.0 and SPSS 23.0 statistical programs for the hypothesis test and distributed the questionnaires to users using the cloud-based common collaboration platform. Then, a total of 180 copies from distributed questionnaires were used for the analysis. The results showed that reliability, security and interaction had a positive effect on intention to use. On the other hand, flexibility and versatility did not affect intention to use positively. Finally, it was verified that the intention to use had a positive effect on the use behavior. At last, it showed that there is a moderation effect according to the type of company.

Diagnosis and Management of Gastroesophageal Reflux Disease in Infants and Children: from Guidelines to Clinical Practice

  • Gonzalez Ayerbe, Jeaneth Indira;Hauser, Bruno;Salvatore, Silvia;Vandenplas, Yvan
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.22 no.2
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    • pp.107-121
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    • 2019
  • The diagnosis and management of gastro-esophageal reflux (GER) and GER disease (GERD) in infants and children remains a challenge. Published guidelines and position papers, along with Embase, MEDLINE, and the Cochrane Database were reviewed and summarized with the intent to propose a practical approach and management of GER and GERD for healthcare providers and to standardize and improve the quality of care for infants and children. For this purpose, 2 algorithms were developed, 1 for infants <12 months of age and the other for older children. None of the signs and symptoms of GER and GERD are specific and there is no gold standard diagnostic test or tool. Nutritional management is recommended as a first-line approach in infants, while in children, a therapeutic trial with antacid medication is advised for early management. The practical recommendations from this review are intended to optimize the management of GER in infants and older children and reduce the number of investigations and inappropriate use of medication.

How Companies Persuade Active Participation of Consumers on Live Streaming Commerce? S-O-R Perspective

  • Zhang, Xiu Ping;Choi, Jae Won
    • The Journal of Information Systems
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    • v.30 no.3
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    • pp.1-20
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    • 2021
  • Purpose Live streaming commerce refers to the fact that people receive live audio and live video directly over the net. While some e-retailers use Live Streaming as a marketing strategy, the impact of live streaming commerce on customers' reuse intentions is unknown. The purpose of this study is to discuss the impact of live streaming commerce by external environmental factors based on S-O-R theory. Design/methodology/approach In this study, we developed a research model based on the S-O-R theory. Using the questionnaire survey method, consumers who used live streaming commerce on Taobao.com were taken as research subjects. Our research model aims to find out how content attributes, real-time interactions, media characteristics, and situational characteristics as stimulus factors influence consumers' perceptions and thus reuse intentions. Findings The results of the analysis show that external environmental factors have a significant impact on consumer perceptions and that perceived risks and flows can influence consumers' reuse intentions. In addition, we also examined the impact of reuse intentions on consumers' active participation. These results show that live streaming commerce can influence consumer perceptions and behavior in several ways.

Switching Behavior between Social Networking Sites : Exploring The Philippine Case of Friendster Versus Facebook (소셜 네트워킹 사이트의 전환에 미치는 영향 요인 : 필리핀의 프렌드스터와 페이스북을 중심으로)

  • Polinar, Stephanie;Lee, Hong Joo;Choi, Jaewon
    • The Journal of Society for e-Business Studies
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    • v.18 no.3
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    • pp.195-209
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    • 2013
  • Considering the widespread use of social networking sites (SNSs) and the sudden shift of Filipino SNS usage from Friendster to Facebook, this paper examines five factors that affect user intentions to switch SNSs. By surveying switchers from Friendster to Facebook in the Philippines, satisfaction, alternative attractiveness, and social influence were significant factors affecting switching intent.

Effects of High School Student' Educational Experience and Expected Benefits on the Participation Intention of Collaborative Consumption (고등학생의 협력적 소비에 대한 교육경험과 기대 혜택이 참여 의도에 미치는 영향)

  • Jung, Joowon;Choi, Kyoungsook
    • Human Ecology Research
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    • v.55 no.4
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    • pp.351-362
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    • 2017
  • Collaborative consumption (CC) occurs in organized systems or networks in which participants conduct sharing activities in the form of renting, lending, trading, bartering, and swapping of goods, services, transportation solutions, space, or money. Information and communications technologies (ICTs) that have emerged with CC. CC is expected to alleviate social problems such as hyper-consumption, pollution, and poverty by lowering the cost of economic coordination. In this study, we investigate the influence of educational experience and expected benefits of CC participation (intended to using and providing CC) of Adolescent Consumers. The subjects for the study were 418 high school students. Data was analyzed through frequency analysis, mean, standard deviation, t-test, ANOVA, Pearson's correlation, and hierarchical multiple regression analysis using SPSS Win 21.0. The results of this study are as follows. First, the significant positive relationship found between CC participants (intent to use and provide CC), educational experience (home education, school education, and mass media) and expected benefits (social benefit, economic benefit, enjoyment, community effect, and reputation). Second, enjoyment, mass media, reputation, social benefit, home education and school education values were variables that influenced the using participation intention for CC. Third, the major variables influencing the providing participation intention CC were home education, enjoyment, gender, community effect, and mass media values.

The Effects of Perceived Characteristics of Mobile SNS for the Agricultural and Food on Consumer Attitude and Purchase Intention (지각된 농식품 관련 모바일 SNS의 특성이 소비자태도 및 구매의도에 미치는 영향)

  • Ahn, Eun-Ju;Yang, Dong-Woo
    • Korean small business review
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    • v.41 no.1
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    • pp.1-28
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    • 2019
  • The purpose of this study is to contribute to the revitalization of the 6th industry by presenting suggestions on how to utilize agricultural food mobile SNS and how to purchase intention. In this study, the mobile SNS, which is rapidly emerging as a new marketing channel, was applied to the agricultural and food sector to conduct a empirical analysis. First of all, the characteristics of agricultural food-related mobile SNS that affect the purchasing intent of agricultural food were derived, and the indirect effects of consumer attitudes were analyzed in relation to the perceived characteristics of the mobile SNS for the agricultural food and the purchase intention. First, information quality and ease of access have a significant effect on cognitive attitude (+), and playfulness, information quality, ease of access have a significant effect on emotional attitude (+), and playfulness, interactivity have a significant effect on an acting attitude (+). Second, information quality, accessibility, and playfulness have a significant effect on purchase intention (+), and the quality of information has the greatest influence. Third, it was analyzed that information quality, interactivity, ease of accessibility, and playfulness have an indirect effect of consumer attitude in the path of purchase through consumer attitude. From the results of this study, it was confirmed that efforts to improve the quality of information in the case of mobile SNS related to agricultural and food products are needed first, that to improve the purchasing intent, we need to establish a mobile SNS operating strategy and marketing strategy for enhance consumer attitudes in a favorable. On the other hand, related education and system cooperation methods should be prepared to enable agricultural and food companies to use mobile SNS as a marketing tool.