• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.395-405
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• 2021

The sophistication of technology information has led to a series of innovative activities in the economy, particularly in buying and selling products and services both conventionally and online. Currently online activities provide opportunities for customers to get the desired needs. The purpose of this research is to examine the effect of website quality, hedonic shopping motivation, and impulse buying on customers' satisfaction of online shopping in Indonesia. Eight online marketplaces are the focus of this research. This study uses a quantitative approach. This is a structural equation research with data obtained from 177 students through an online questionnaire using a five-point Likert scale; the selection criteria is having shopped online from various universities in Indonesia. The statistical testing tool used is SPSS 26.0, with the effect between variables determined using Partial Least Square (SmartPLS 3.0). The findings of this study indicate that the nine proposed hypotheses are accepted, positively and significantly, directly or indirectly, which are supported by previous research to reinforce the findings that have been found. The interesting attributes associated with this study are hedonic shopping motivation and impulse buying that mediate the relationship between website quality and customer satisfaction of online shopping in Indonesia's marketplace.

• Transactions of Materials Processing
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• v.31 no.3
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• pp.136-142
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• 2022

The purpose of this study was to investigate the effects of sample thickness and support structure on the residual stress of Hastelloy X superalloy samples fabricated by laser powder bed fusion (LPBF), which is an additive manufacturing process. The residual stresses of LPBF samples with different thicknesses and support structures were measured using X-ray diffraction. The results revealed that as the thickness of sample increased from 2.5 mm to 20 mm, its tensile residual stress gradually decreased from 443.5 MPa to 182.2 MPa. Additionally, the residual stress in the bottom region of sample was higher than that in the top region, and the residual stress difference in the bottom and top regions became more pronounced as the sample thickness decreased. The residual stress of LPBF sample also varied depending on the structure of support. The residual stress of sample decreased with increasing contract area between the sample and the support, because the larger contract area led to smaller temperature gradient throughout the sample.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.204-210
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• 2022

From the 1970s to the present, the number of new infectious diseases such as SARS, Ebola virus, and MERS has steadily increased. The new infectious disease, COVID-19, which began in Wuhan, Hubei Province, China, has pushed the world into a pandemic era. As a result, Countries imposed restrictions on entry to foreign countries due to concerns over the spread of COVID-19, which led to a decrease in the movement of tourists. Due to the restriction of travel, keywords such as "Corona blue" have soared and depression has increased. Therefore, this study aims to analyze the stress meaning network of the COVID-19 era to derive keywords and come up with a plan for a travel-related platform of the Post-COVID 19 era. This study conducted analysis of travel and stress caused by COVID-19 using TEXTOM, a big data analysis tool, and conducted semantic network analysis using UCINET6. We also conducted a CONCOR analysis to classify keywords for clustering of words with similarities. However, since we have collected travel and stress-oriented data from the start to the present, we need to increase the number of analysis data and analyze more data in the future.

• International Journal of Contents
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• v.18 no.2
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• pp.32-46
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• 2022

In recent years, large-scale and high-density use of LED on facades has exposed some disadvantages, such as light pollution, high energy consumption, unsustainability, and poor interactivity. Because of the development of smartphones and augmented reality (AR), AR has emerged as a new technology available to users to interact with the media façade. As an augmented reality app for public space, the AR map app can superimpose virtual images on the surface of a building to form an AR media façade, which can be applied in the fields of navigation, advertising, interactive public art, smart retail, etc. This study establishes the variables influencing usage intention and the consequent outcomes of Huawei AR map app and uses the technology acceptance model (TAM) to discuss their relationship. Results show that consumer innovativeness, information quality, and design quality have a strong influence on perceived ease of use. Information quality has a positive impact on perceived usefulness, but design quality has a weak influence. Also, the design quality of Huawei AR map app and consumer innovativeness have a higher effect on perceived enjoyment than information quality. Users' usage attitude and perceived usefulness when using Huawei AR map app are key factors determining their usage intention. This study inspires city planners, architects, developers, and designers of AR apps that augmented reality can partly replace media façade, and that investment in augmented reality will achieve significant sustainable economic and social benefits.

• Journal of Platform Technology
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• v.11 no.1
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• pp.85-104
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• 2023

Since the late 1990s, the Korean government has attempted to develop the Architectural Information System (AIS, SEUMTER), led by the Ministry of Construction and Transportation, in order to improve civil complaint convenience and administrative efficiency in architectural administration. Since then, for nearly 30 years, the Korean government has been continuously upgrading the SEUMTER system. Based on these advancement projects, it is now possible to conduct civil affairs through the Internet, and civil petitioners can file complaints with government offices without visiting and without documents. In addition, statistical work and performance management became possible in real time for civil servants. And recently, by clouding the SEUMTER system, intelligent services have become possible. In this paper, the development process of the SEUMTER was divided into four stages and evaluated, and the main success factors were derived. The main success factors of SEUMTER are 1) Promotion as a National Agenda - Leadership of the President and Ministers, 2) Outsourcing of Information System Development and Dissemination, 3) Overcoming Selfishness between Ministries - Integrating Building Permits System and Building Ledger Systems, 4) Continue to Promote Information System Advancement. Subsequently, three global diffusion strategies for SEUMTER were presented: 1) the Need to Establish Globalization Strategy: Linkage with Smart City Business, 2) Small and Medium-sized System Model Needed for Globalization and ODA, and 3) System Success Needs to be Publicized Internationally.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.82-91
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• 2023

In 2020 when the COVID-19 pandemic began in full-scale, the WHO Director-General warned of the dangers of an infodemic. The infodemic is a phenomenon in which false information spreads rapidly like an epidemic and causes chaos, and it was noted that the COVID-19 pandemic is not just limited to health problems, but also linked to a variety of issues such as human rights, economic inequality, various discrimination, hate speech, fake news, global governance etc. In the field of education, it is necessary to think about how to connect this global situation with school classes. Accordingly, this study suggested the direction for global citizenship education by analyzing how the infodemic spreads on Korean social media with the case of the recent global COVID-19 pandemic. According to the research results, the rate of negative emotions was higher than positive ones in the emotions that generate infodemic, while anxiety and anger were focused among negative emotions. In addition, the infodemic tended to spread widely with the feelings of anger rather than anxiety, and the feelings of anger led to advocating aggressive policies against certain country and regions. Therefore, global citizenship education is required to focus on a sense of duty and responsibility as a citizen, not on the level of national identity based on an exclusive sense of belonging. Furthermore, global citizenship education needs to lead to presenting a blueprint for education in a way that can enhance the awareness of the global community for joint response to global challenges and realize common prosperity based on sustainability and justice.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.128-134
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• 2023

The widespread usage of blockchain technology in cryptocurrencies has led to the adoption of the blockchain concept in data storage management systems for secure and effective data storage and management. Several innovative studies have proposed solutions that integrate blockchain with distributed databases. In this article, we review current blockchain databases, then focus on two well-known blockchain databases-BigchainDB and FalconDB-to illustrate their architecture and design aspects in more detail. BigchainDB is a distributed database that integrates blockchain properties to enhance immutability and decentralization as well as a high transaction rate, low latency, and accurate queries. Its architecture consists of three layers: the transaction layer, consensus layer, and data model layer. FalconDB, on the other hand, is a shared database that allows multiple clients to collaborate on the database securely and efficiently, even if they have limited resources. It has two layers: the authentication layer and the consensus layer, which are used with client requests and results. Finally, a comparison is made between the two blockchain databases, revealing that they share some characteristics such as immutability, low latency, permission, horizontal scalability, decentralization, and the same consensus protocol. However, they vary in terms of database type, concurrency mechanism, replication model, cost, and the usage of smart contracts.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.389-392
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• 2020

The growth in social media, blogs and restaurant listing directories have led to increasing customer reviews about restaurants, their quality of food items and services available on the internet. These user reviews offer a massive amount of valuable information that can be used for various decision-making purposes. Currently, most food recommendation sites provide recommendation scores about restaurants rather than food items of the restaurant and the provided recommendation scores may be biased since they are calculated only from user reviews listed only in their sites. Usually, people wants a reliable recommendation about foods, not restaurant. In this paper, we present a reliable Korean food items rating method; we first extract food items by applying NER technique to restaurant reviews collected from many Korean restaurant recommendation web sites, blogs and web data. Then, we apply lexicon-based sentiment analysis on collected user reviews and predict people's opinions as sentiment polarity scores (+1 for positive; -1 for negative; 0 for neutral). Finally, by taking average of all calculated polarity scores about a food item, we obtain a rating to individual menu items of the restaurant. The proposed food item rating is more reliable since it does not depend on reviews of only one site.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.136-139
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• 2021

사물인터넷을 기반으로 실시간으로 소화기 주변의 상태와 화재 발생 여부, 소화기의 상태를 확인할 수 있는 웹 시스템과 화재 알림을 받을 수 있는 애플리케이션을 설계하였다. 소화기 주변의 온도와 습도를 측정하여 화재 유무를 판단하고, 화재를 감지했을 시에 LED 불빛과 경고음을 출력한다. 자이로센서를 이용하여 소화기의 쓰러짐 상태를 파악한다. 웹페이지에서 소화기의 상태 및 소화기 주변의 온습도 상태, 화재 여부를 확인할 수 있다. 사용자는 애플리케이션을 이용하여 회원가입, 로그인을 수행할 수 있으며 화재 알림을 받을 수 있다.

• Convergence Security Journal
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• v.22 no.3
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• pp.13-18
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• 2022

With the rapid development of IT technology, integration with existing industries has led to an increase in smart manufacturing that simplifies processes and increases productivity based on 4th industrial revolution technology. Security threats are also increasing and there are. In the case of supply chain attacks, it is difficult to detect them in advance and the scale of the damage is extremely large, so they have emerged as next-generation security threats, and research into detection technology is necessary. Therefore, in this paper, we collect, store, analyze, and visualize logs in multiple environments in real time using ELK Stack and Sysmon, which are open source-based analysis solutions, to derive information such as abnormal behavior related to supply chain attacks, and efficiently We try to provide an effective detection method.