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Thai Internet Users' Personality Traits and their Preferred Web Portal's Characteristics

  • Tanya, Rattipon;Tanlamai, Uthai
    • Journal of Information Technology Applications and Management
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    • v.20 no.3
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    • pp.19-30
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    • 2013
  • The objective of this research is to identify a web portal's specific functions and layouts that are aligned with personality trait of an individual internet user. This first stage of the overall research project intends to check whether the research instrument, namely the NEO Five Factors Inventory (NEO-FFI), is applicable to assess the personality traits of Thai internet users. Based on these personality traits, text-based description of functions/layouts of a web portal was developed and given to professional designers to mock up example web portal pages. These web portal pages were in alignment with individual personality traits. Rating data on the functions/layouts corresponding to individual personality traits were collected from an online survey of 207 Thai internet users. Results showed that respondents gave more consistent rating to the functions/layouts close to their individual personality traits identified in the text-based descriptions than in the mocked-up web portal pages.

Measurement of Single Phase and Condensation Heat Transfer Coefficients of Ammonia in a Horizontal Tube (암모니아의 수평관내 단상 및 응축 열전달계수의 측정)

  • 백영진;장영수;김영일
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.12 no.6
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    • pp.561-569
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    • 2000
  • Single phase and condensation heat transfer characteristics of ammonia in a horizontal tube have been investigated experimentally The horizontal test section is composed of smooth SUS316 tube for refrigerant flow, surrounding annulus for water flow, and temperature and Pressure measuring sensors. For single phase test, subcooled ammonia mass flux was varied from 320 to 501 kg/mrs and temperature was varied from 18 to $47^{\circ}C$. For condensation test, mass flux and saturation temperature were varied from 86 to 128 kg/$m^2$s and 34 to $47^{\circ}C$, respectively. The equations of Gnielinski Soliman et al., Traviss et at., Cavallini and Zecchin, Shah, Chen et al., Tandon et al., and Chilli and Anand were compared with the experimental data. New correlations are proposed based on the experimental results and the absolute mean deviation of the experimental data becomes 1.0% for single phase test and 4.9% for condensation test.

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The possibility and prospect for developing Sijo Munhwa information system (시조문화 정보시스템 개발의 가능성과 전망)

  • 한창훈
    • Sijohaknonchong
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    • v.19 no.1
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    • pp.37-62
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    • 2003
  • This treatise discuss the possibility and prospect for developing Sijo Munhwa information system. The contents of it is summarized as follows. 1. We must gather and input correctly materials including original texts to develope Sijo Munhwa information system as linguistic data. 2. We must consider TEI(Text Encoding Initiative) and thesauras when we process the database. 3. 2 form the ground work of building Topic Map. 4. It's very important to link Sijo Munhwa information system as art material with visual or auditory images in three dimensions completely.

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Automatic Text Classification Method Using Keywords and Unlabeled Text (주제어와 미분류 문서들을 이용한 문서의 자동 분류 방법)

  • Lee Kang-Il;Lee Chang-Hwan
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07b
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    • pp.592-594
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    • 2005
  • 문서를 분류하기 위해서는 분류주제에 맞춰 미리 분류가 된 자료(labeled data)가 필요하다. 하지만 미리 분류가 된 자료를 만들기 위해서는 사람이 직접 그 문서의 의미를 해석하고 일일이 분류를 해야 하기 때문에 시간이 많이 소모가 된다. 본 논문에서는 비록 사랑이 직접 분류한 자료를 이용하는 것에 비해서 분류 정확도는 조금 떨어지지만, 대신 주제어와 미분류 문서(unlabeled data)를 이용해서 문서를 분류하는 방법을 제시하려고 한다. 이와 같은 주제어와 미분류 문서의 경우에는 구하기가 쉽고, 사랑이 일일이 분류하는 작업이 필요로 하지 않기 때문에 비용과 시간이 크게 절약이 된다는 장정이 있다.

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Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications

  • Garcia, Leyla;Giraldo, Olga;Garcia, Alexander;Rebholz-Schuhmann, Dietrich
    • Genomics & Informatics
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    • v.17 no.2
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    • pp.14.1-14.6
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    • 2019
  • The total number of scholarly publications grows day by day, making it necessary to explore and use simple yet effective ways to expose their metadata. Schema.org supports adding structured metadata to web pages via markup, making it easier for data providers but also for search engines to provide the right search results. Bioschemas is based on the standards of schema.org, providing new types, properties and guidelines for metadata, i.e., providing metadata profiles tailored to the Life Sciences domain. Here we present our proposed contribution to Bioschemas (from the project "Biotea"), which supports metadata contributions for scholarly publications via profiles and web components. Biotea comprises a semantic model to represent publications together with annotated elements recognized from the scientific text; our Biotea model has been mapped to schema.org following Bioschemas standards.

Combining Encryption and Preservation in Information Security to Secure Sending a Message

  • Nooh, Sameer
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.285-291
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    • 2022
  • With the growing exchange of data between individuals and institutions through various electronic communication, valuable data protection is in high demand to ensure that it is not hacked and that privacy is protected. Many security techniques, such as encryption and steganography, have emerged to prevent security breaches. The purpose of this research is to integrate cryptographic and steganography techniques to secure text message sending. The Rijndael algorithm was used to encrypt the text message, and the Least Significant Bit algorithm was also used to hide the encrypted message in a color image. Experiments on the suggested method have proven that it can improve the security of sent messages due to the human eye's inability to identify the original image from the image after it has been covered, as well as the encryption of the message using a password.

Exploring the Key Factors that Lead to Intentions to Use AI Fashion Curation Services through Big Data Analysis

  • Shin, Eunjung;Hwang, Ha Sung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.2
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    • pp.676-691
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    • 2022
  • An increasing number of companies in the fashion industry are using AI curation services. The purpose of this study is to investigate perceptions of and intentions to use AI fashion curation services among customers by using text mining. To accomplish this goal, we collected a total of 34,190 online posts from two Korean portals, Naver and Daum. We conducted frequency analysis to identify the most frequently mentioned keywords using Textom. The analysis extracted "various," "good," "many," "right," and "new" at the highest frequency, indicating that consumers had positive perceptions of AI fashion curation services. In addition, we conducted a semantic network analysis with the top-50 most frequently used keywords, classifying customers' perceptions of AI fashion curation services into three groups: shopping, platform, and business profit. We also identified the factors that boost continuous use intentions: usability, usefulness, reliability, enjoyment, and personalization. We conclude this paper by discussing the theoretical and practical implications of these findings.

Changes in Specialty Coffee Consumption Post-pandemic

  • Lim, Miri;Ryu, Gihwan
    • International journal of advanced smart convergence
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    • v.11 no.3
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    • pp.157-161
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    • 2022
  • The coffee industry continues to grow steadily due to the spread of coffee and changes in consumer awareness. Once upon a time, instant coffee was common, People today have distinct personal preferences As consumption needs for favorite foods are segmented, ways to enjoy coffee are diversifying. This study was conducted through analysis of consumption changes for specialty coffee as a changed issue of COVID-19 The goal is to present a vision for the future of the specialty coffee industry. As a research method, text mining through big data analysis was conducted to extract and analyze factors affecting the change in specialty coffee consumption. As a result of the study, we judged that specialty coffee is consumed by using a drip tool that allows you to easily enjoy coffee at home after Corona 19. Therefore, hand drips used in home cafes were found to play a central role in the change in specialty coffee consumption.

The relationship between public acceptance of nuclear power generation and spent nuclear fuel reuse: Implications for promotion of spent nuclear fuel reuse and public engagement

  • Roh, Seungkook;Kim, Dongwook
    • Nuclear Engineering and Technology
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    • v.54 no.6
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    • pp.2062-2066
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    • 2022
  • Nuclear energy sources are indispensable in cost effectively achieving carbon neutral economy, where public opinion is critical to adoption as the consequences of nuclear accident can be catastrophic. In this context, discussion on spent nuclear fuel is a prerequisite to expanding nuclear energy, as it leads to the issue of radioactive waste disposal. Given the dearth of study on spent nuclear fuel public acceptance, we use text mining and big data analysis on the news article and public comments data on Naver news portal to identify the Korean public opinion on spent nuclear fuel. We identify that the Korean public is more interested in the nuclear energy policy than spent nuclear fuel itself and that the alternative energy sources affect the position towards spent nuclear fuel. We recommend relating spent nuclear fuel issue with nuclear energy policy and environmental issues of alternative energy sources to further promote spent nuclear fuel.

Identifying research trends in the emergency medical technician field using topic modeling (토픽모델링을 활용한 응급구조사 관련 연구동향)

  • Lee, Jung Eun;Kim, Moo-Hyun
    • The Korean Journal of Emergency Medical Services
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    • v.26 no.2
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    • pp.19-35
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    • 2022
  • Purpose: This study aimed to identify research topics in the emergency medical technician (EMT) field and examine research trends. Methods: In this study, 261 research papers published between January 2000 and May 2022 were collected, and EMT research topics and trends were analyzed using topic modeling techniques. This study used a text mining technique and was conducted using data collection flow, keyword preprocessing, and analysis. Keyword preprocessing and data analysis were done with the RStudio Version 4.0.0 program. Results: Keywords were derived through topic modeling analysis, and eight topics were ultimately identified: patient treatment, various roles, the performance of duties, cardiopulmonary resuscitation, triage systems, job stress, disaster management, and education programs. Conclusion: Based on the research results, it is believed that a study on the development and application of education programs that can successfully increase the emergency care capabilities of EMTs is needed.