• International conference on construction engineering and project management
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• 2013.01a
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• pp.173-180
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• 2013

To analyze building energy consumption, the building description for building energy performance analysis (BEPA) is required. The required data input for subject building is a basic step in the BEPA process. Since building information modeling (BIM) is applied in the construction industry, the required data for BEPA can be gathered from a single international standard file format like IFCXML. However, in most BEPA processes, since the required data cannot be fully used from the IFCXML file, a building description for BEPA must be created again. This paper proposes IFCXML-based automatic data input approach for BEA. After the required data for BEPA has been defined, automatic data input for BEPA is developed by a prototype system. To evaluate the proposed system, a common BIM file from the BuildingSMART website is applied as a sample model. This system can increase the efficiency and reliability of the BEPA process, since the data input is automatically and efficiently improved by directly using the IFCXML file.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.83-92
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• 2023

The majority of product users rely on the reviews that are posted on the appropriate website. Both users and the product's manufacturer could benefit from these reviews. Daily, thousands of reviews are submitted; how is it possible to read them all? Sentiment analysis has become a critical field of research as posting reviews become more and more common. Machine learning techniques that are supervised, unsupervised, and semi-supervised have worked very hard to harvest this data. The complicated and technological area of feature engineering falls within machine learning. Using deep learning, this tedious process may be completed automatically. Numerous studies have been conducted on deep learning models like LSTM, CNN, RNN, and GRU. Each model has employed a certain type of data, such as CNN for pictures and LSTM for language translation, etc. According to experimental results utilizing a publicly accessible dataset with reviews for all of the models, both positive and negative, and CNN, the best model for the dataset was identified in comparison to the other models, with an accuracy rate of 81%.

• Asia pacific journal of information systems
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• v.29 no.1
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• pp.1-34
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• 2019

The concept of e-Government was first developed and implemented in industrialised countries. Consequently, it should not be assumed that this concept is automatically appropriate for developing countries. This study aims to examine the roles of perceived support quality and support satisfaction in the context of government-to-citizen (G2C) transactions towards behavioural intention and usage in developing countries. To test the proposed model, the official website of Kuwait Government Online Services (KGOS) was selected. A survey with a total of 628 responses was analysed using Structural Equation Modelling (SEM) to investigate the goodness of fit of the model and the underlying indicators. The findings confirm the significance of support quality perceived by citizens and provide insights to explain citizens' intention to use e-Government systems.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.8
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• pp.1-6
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• 2022

This paper uses the gravity model estimated by the random effect method to analyze the factors affecting Vietnam's coffee export turnover for the period 2007-2020 major markets according to statistics from the General Statistics Office and the General Department of Customs. Coffee export turnover was collected from the General Statistics Office, General Department of Customs, and Vietnam Cacao Coffee Association. The authors calculated the price of coffee based on output and export value from data on coffee export turnover; the authors calculated the economic gap based on population and Gross Domestic Product data (reference: geographic distance metrics on the website: http://www.distancefromto.net/countries.php) and other data was collected based on the databases of the Food and Agriculture Organization of the United Nations, the International Monetary Fund, and World Bank organizations. The results of the study show that from 2007 to 2020, the factors of Vietnam's export price of coffee, geographical distance, Gross Domestic Product of the importing country and Gross Domestic Product of Vietnam, the population of Vietnam, the economic gap between Vietnam and the importing country, the openness of the economy, all have an impact on Vietnam's coffee export turnover. Finally, some conclusions about the policy's impact are made based on the empirical results of the paper.

• Journal of Global Scholars of Marketing Science
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• v.20 no.2
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• pp.123-134
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• 2010

Considering the benefits for both consumers and suppliers, firms are taking advantage of the Internet as a medium to communicate with and sell products to their consumers. This trend makes the online shopping environment a growing field for both researchers and practitioners. This paper contributes by testing a model of online consumer behavior with websites varying in levels of hedonism. Unlike past studies, we included all three types of emotions (arousal, pleasure, and dominance) and flow into the model. In this study, we assumed that website interfaces, such as background colors, music, and fonts impact the three types of emotions at the initial exposure to the site (Mazaheri, Richard, and Laroche, 2011). In turn, these emotions influence flow and consumers' perceptions of the site atmospherics-perception of site informativeness, effectiveness, and entertainment. This assumption is consistent with Zajonc (1980) who argued that affective reactions are independent of perceptual and cognitive operations and can influence responses. We, then, propose that the perceptions of site atmospherics along with flow, influence customers' attitudes toward the website and toward the product, site involvement, and purchase intentions. In addition, we studied the moderating impact of the level of hedonism of websites on all the relationship in the model. Thus, the path coefficients were compared between "high" and "low" hedonic websites. We used 39 real websites from 12 product categories (8 services and 4 physical goods) to test the model. Among them, 20 were perceived as high hedonic and 19 as low hedonic by the respondents. The result of EQS 6.1 support the overall model: $\chi^2$=1787 (df=504), CFI=.994; RMSEA=.031. All the hypotheses were significant. In addition, the results of multi-groups analyses reveal several non-invariant structural paths between high and low hedonic website groups. The findings supported the model regarding the influence of the three types of emotions on customers' perceptions of site atmospherics, flow, and other customer behavior variables. It was found that pleasure strongly influenced site attitudes and perceptions of site entertainment. Arousal positively impacted the other two types of emotions, perceptions of site informativeness, and site involvement. Additionally, the influence of arousal on flow was found to be highly significant. The results suggested a strong association between dominance and customers' perceptions of site effectiveness. Dominance was also found to be associated with site attitudes and flow. Moreover, the findings suggested that site involvement and attitudes toward the product are the most important antecedents of purchase intentions. Site informativeness and flow also significantly influenced purchase intentions. The results of multi-group analysis supported the moderating impacts of hedonism of the websites. Compared to low (high) hedonic sites, the impacts of utilitarian (hedonic) attributes on other variables were stronger in high (low) hedonic websites. Among the three types of emotions, dominance (controlling feelings) effects were stronger in high hedonic sites and pleasure effects were stronger in low hedonic sites. Moreover, the impact of site informativeness was stronger for high hedonic websites compared to their low-hedonic counterparts. On the other hand, the influence of effectiveness of information on perceptions of site informativeness and the impact of site involvement on product attitudes were stronger for low hedonic websites than for high hedonic ones.

• Convergence Security Journal
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• v.11 no.6
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• pp.9-15
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• 2011

It is difficult to identify attack requests from normal ones when those attacks are based on CSRF which enables an attacker transmit fabricated requests of a trusted user to the website. For the protection against the CSRF, there have been a lot of research efforts including secret token, custom header, proxy, policy model, CAPTCHA, and user reauthentication. There remains, however, incapacitating means and CAPTCHA and user reauthentication incur user inconvenience. In this paper, we propose a method to detect CSRF attacks by analyzing the structure of websites and the usage patterns. Potential victim candidates are selected and website usage patterns according to the structure and usage logs are analyzed. CSRF attacks can be detected by identifying normal usage patterns. Also, the proposed method does not damage users' convenience not like CAPTCHA by requiring user intervention only in case of detecting abnormal requests.

• Fashion & Textile Research Journal
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• v.17 no.3
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• pp.392-404
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• 2015

This study investigated how the image exaggeration influence consumer attitude toward product in mobile shopping. Image exaggeration was manipulated by adding light effects on image and adjusting the width for slender mirror effect. Subjects were randomly allocated to four mock-mobile website stimuli. The overall results showed that the image exaggeration had negative effect on product attitude mediated by diagnositicity. First, the mediation effect of diagnositicity between exaggeration and product attitude was tested by bootstap method. The diagnositicity fully mediated between two variables and exaggeration had negative total effect on diagnositicity. The image exaggeration had no direct effect on product attitude. Second, to test the moderating effect of image congruence between the image exaggeration and diagnositicity, conditional indirect effect of diagnositicity was analyzed. As a result, the moderating effect of image congruence was significant. When consumers perceived high self-image congruence with picture image on mobile website, the exaggeration had no negative effect on product attitude. This indicates self-image congruence counteracts the negative effect of the exaggeration on diagositicity. And the moderating effect of image aesthetics between the image exaggeration and product attitude was examinated by the conditional direct effect model. The analysis found that image aesthetics had significant moderating effects particularly on high or low levels of aesthetics. When image aesthetics was perceived as high, image exaggeration had negative effect on product attitude, whereas image aesthetics was low, image exaggeration had positive effect on product attitude. This result indicated that the positive exaggeration effects existed when images were aesthetically appealing.

• Information Systems Review
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• v.7 no.1
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• pp.81-96
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• 2005

Because the web sites are in common today, the access to the web for disabled people and old aging people, what we call accessibility, becomes more important. Even though efforts to reduce the informational gap resulted from the lack of the accessibility have been carried out, the studies in this field in Korea are not still in popular. In this study, previous research on the measurements for the accessibility is reviewed and then a new model measuring accessibility is suggested. To increase the validity of the measurement, both an automated tool and a manual test are employed. First we used the 'A-Prompt', one of the popular automated validation tools and analyzed web sources, and applied manual tests by HPR Screen Reader. With the error rates calculated, the accessibility of the government web sites between Korea and the United States was compared and finally the conclusions were drawn.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.47-54
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• 2015

The following research analyzes that the level of self-monitoring have an influence on user experience about website. For this research, university students participated in a survey where they evaluated user experience -usability, aesthetics, pleasure- about the new screen images of two homepages of differences in brand recognizability. The "self-monitoring(high/low, except for middle)" and the "brand recognizability(high/low, except for middle)" were set as independent variables and the "usability | deviation |", the "aesthetics | deviation |", the "pleasure | deviation |" were set as the dependent variables. Results, as with new screen images of homepage, there were significant differences in the usability and aesthetics based on the level in self-monitoring. Especially, when level of brand recognizability is low, there was more differences in the usability and aesthetics based on the level in self-monitoring. However, the influence of pleasure on self-monitoring was insignificant.

• International Journal of Knowledge Content Development & Technology
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• v.11 no.2
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• pp.55-75
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• 2021

This article examines the accessibility and usability of library websites to students with visual and physical disabilities in public universities in Kenya. The study used survey research design and adopted a mixed methods approach. Data were gathered using survey questionnaire, focus group discussions, structured interviews, and observation. The study population consisted of six public universities that had a longstanding tradition of enrolling students with disabilities. Census was used to obtain a study sample comprising of students with visual disabilities (86), students with physical disabilities (91), University Librarians (6), Personnel from Disability Mainstreaming departments (6), Systems Librarians (6) and Library Personnel who provided information services to students with disabilities (133). The Social Model of Disability and IFLA Access to Libraries for Persons with Disabilities checklist were used as conceptual and theoretical framework in the study. Study results revealed that all the libraries had library websites. However, the websites did not have disability services page or information specific to individuals with disabilities. Also a section of students with disabilities lacked awareness of the existence of library websites and e-resources available through them. Additionally, the website design posed various access challenges. The study concluded that people with disabilities were excluded from access and use of library websites in public universities. The authors recommended that library websites must contain disability services page containing information specific to persons with disabilities. Moreover, libraries should evaluate their websites to ensure compliance with W3C requirements for web content accessibility. Additionally, libraries should develop disability policy to provide guidance on provision of information services to persons with disabilities.