• Journal of the Society of Naval Architects of Korea
• /
• v.56 no.3
• /
• pp.217-230
• /
• 2019

In this study, a fatigue damage estimation for an ice-going vessel navigating through broken ice fields was carried out. A numerical model to simulate the interaction between ice and structure developed using the finite element method was introduced. Time series of stresses calculated by the proposed model and the corresponding fatigue analysis results are presented. The numerical model enables the long time analysis through an efficient interaction model, the application of the periodic media analysis and the convolution integral, and it allows the stress time history to be extracted directly using the finite element method. To describe the probability distribution of stress amplitudes, the 2-parameter Weibull model was applied to the calculated stress time history, and the fatigue damage was calculated using the Palmgren-Miner rule. Finally, the fatigue damage considering the ice conditions of the Baltic Sea was calculated using the proposed method and LR method, and the results were compared to each other.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.1
• /
• pp.915-925
• /
• 2021

The study investigates some psychological and environmental factors affecting the intention to purchase organic foods of consumers in the inner-city of Hanoi. Impact factors applied for the study include three psychological factors (health concern, environmental concern, consumer awareness of organic foods) and seven environment factors (family's opinion, friends and colleagues' opinion, influence of celebrities, expert's opinion, social status, mass media, state's encouragement). We analyzed research data from 396 consumers to measure the impacting level of these factors. The convenient sampling method was used to collect the research sample. The measurement applied a 5-point Likert scale classifying from 1-completely disagree to 5-completely agree. Based on previous studies, the research model was recommended. We had estimated the reliability of the scales through Cronbach's Alpha and composite reliability. The research data is analyzed by using Structural Equation Model method (SEM). The findings of the study suggest that psychological factors (health concern, environmental concern, consumer awareness of organic foods) had a significantly positive influence on consumer's purchase attention toward organic food. The results also revealed that environmental factors (family's opinion, friends and colleagues' opinion, influence of celebrities, expert's opinion, mass media) were positively linked to consumer's purchase attention toward organic food.

• Smart Media Journal
• /
• v.9 no.4
• /
• pp.73-80
• /
• 2020

With the advent of the Internet era, consumer lifestyles have been changed tremendously, and mobile payment has carried out an increasingly extensive coverage of the people's life trajectory. Taking the design of the mobile payment interface as an example, we use a conjoint analysis method to survey college students in Guangxi, where questionnaires are collected from 270 people in different groups according to gender. The method separates the attributes that affect consumer choice of mobile payment interface design and the utility value of the attribute level to analyze consumer needs and preferences, and then obtains consumers' potential evaluation criteria for mobile payment interface design. The results of the study show that the attributes that influence consumers' choice of mobile payment interface design are, in order of preference: page layout, identification convenience, verification, module distribution, entertainment, and information encryption. Consumer groups of different genders show differences in their preferences in the mobile payment interface design and Consumer needs reflect consumer psychology. Several findings are obtained on the consumers' preferences on the mobile payment interface design, which may be used to improve future design processes.

• International Journal of Computer Science & Network Security
• /
• v.22 no.8
• /
• pp.87-96
• /
• 2022

This paper employs a computer-aided text analysis (CATA) and a Critical Discourse Analysis (CDA) to explore the strategies of recruitment and intellectual polarization in ISIS (Islamic State in Iraq and Syria) media. The paper's main objective is to shed light on the efficacy of employing computer software in the linguistic analysis of texts, and the extent to which CATA software contribute to deciphering hidden meanings of texts as well as to arrive at concise and authentic results from these texts. More specifically, this paper attempts to demonstrate the contribution of CATA software represented in the two variables of Frequency Distribution Analysis (FDA) and Content Analysis (CA) in decoding the strategies of recruitment and intellectual polarization in one of ISIS 's digital publication: Rumiyah (a digital magazine published by ISIS). The analytical focus is on three strategies of recruitment and intellectual polarization: (i) lexicalization, (ii) intertextual religionisation, and (iii) justification. Two main findings are revealed in this study. First, the application of CATA software into the linguistic investigation of texts contributes effectively to the understanding of the thematic and ideological messages pertaining to the analyzed text. Second, the computational analysis guarantees concise, credible, authentic and ample results than is the case if the analysis is conducted without the work of computer software. The paper, therefore, recommends the integration of CATA software into the linguistic analysis of the various types of texts.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.5
• /
• pp.507-518
• /
• 2022

This study aimed to measure the monetary and non-monetary effects on brand awareness at hypermarkets in Riyadh. The independent variable consists of three sub-variables: price reductions, free samples, and purchasing vouchers. The research population has all Saudi and non-Saudi buyers in Riyadh. The figures show that the population size reached 3.87 million in 2019. The proportional stratification sampling technique and the recommended sample size were 387 buyers. The five-point Likert scale with the fully structured questionnaire was used. The study concldes the effect of free samples on brand awareness while there was no effect of monetary instruments. The results show that the three sales promotion incentives (price reduction, free samples, and purchasing vouchers) moderately affected brand awareness and a key role in explaining consumer behavior, so the significant impact was proved. In summary, this study showed that price reductions have the power of creating the perception of buyers at hypermarkets in Riyadh. Non-cash instruments were more effective than cash instruments in enhancing brand awareness at the hypermarkets in the Saudi market. So, the price reductions and purchasing vouchers have less power in conducting communication-based awareness. Building awareness and improving brand image through free samples were most visible in communication strategy.

• The Journal of Asian Finance, Economics and Business
• /
• v.10 no.1
• /
• pp.41-48
• /
• 2023

Over the past ten years, numerous industries have undergone upheavals that have significantly altered how businesses interact with their clients and how goods are created and produced bySMEs. Many cutting-edge technologies have recently been created and implemented to enhance business models, facilitate sustainability features for organizations, and boost business capabilities. This essay seeks to understand how digital entrepreneurship functions in developing nations. The results of this study show the effectiveness of digital transformation in the context of SMEs is greatly influenced by aspects including the change of managerial intensity and the involvement and perception of workers, customers, and shareholders. One of the needs that business owners showcased in this study in terms of digitization is infrastructure resources to support digitization such as devices, the Internet, and funds, but also the ability to use digital media for business development. Practical skills that business people want to learn such as product design and management of their social media accounts. There are also aspects of time and self-motivation of the business actor that can speed up or slow down the digitization process. Finally, government support that is structured in encouraging MSMEs is also one of the supporters and drivers of digitalization in the blue economy.

• Journal of Information Processing Systems
• /
• v.19 no.3
• /
• pp.310-322
• /
• 2023

Although the network environment is gradually improving, the virtual nature of the network is still the same fact, which has brought a great influence on the supervision of Weibo network public opinion dissemination. In order to reduce this influence, the user information of Weibo network public opinion dissemination is studied by using Python technology. Specifically, the 2019 "Ethiopian air crash" event was taken as the research subject, the relevant data were collected by using Python technology, and the data from March 10, 2019 to June 20, 2019 were constructed by using the implicit Dirichlet distribution topic model and the naive Bayes classifier. The Weibo network public opinion user identity graph model under the "Ethiopian air crash" on June 20 found that the public opinion users of ordinary netizens accounted for the highest proportion and were easily influenced by media public opinion users. This influence is not limited to ordinary netizens. Public opinion users have an influence on other types of public opinion users. That is to say, in the network public opinion space of the "Ethiopian air crash," media public opinion users play an important role in the dissemination of network public opinion information. This research can lay a foundation for the classification and identification of user identity information types under different public opinion life cycles. Future research can start from the supervision of public opinion and the type of user identity to improve the scientific management and control of user information dissemination through Weibo network public opinion.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2024.01a
• /
• pp.123-125
• /
• 2024

다크웹(Dark Web)은 마약, 불법 촬영물, 해킹, 무기 등 불법 콘텐츠의 공유 및 거래가 이루어지는 인터넷 영역으로서 최근에는 소셜미디어와 연계된 형태로 범죄 양상이 변화하고 있다. 본 논문에서는 최근 국내 외 사회 문제로 대두되고 있는 마약 범죄를 추적하기 위한 다크웹 수사 기술로서 다크웹 사용자를 소셜미디어로 유인하는 마약 정보 수집체계를 개발한다. 먼저 미국 마약단속국에서 공개한 대표적인 마약 용어 3개의 표준어 및 은어를 검색 키워드로 사용하여 마약 관련 다크웹을 수집하고, 수집된 다크웹을 크롤링하여 소셜미디어 계정 링크를 추출한다. 본 논문에서는 다양한 소셜미디어 중, 트위터 및 텔레그램 접속 링크를 수집하였으며 실험 결과, 접속 가능한 총 54개 다크웹 도메인의 9,046개 웹 페이지에서 트위터 유인 링크 567개, 텔레그램 유인 링크 118개를 추출하였다.

• Smart Media Journal
• /
• v.13 no.2
• /
• pp.9-15
• /
• 2024

In this paper, a Diffusion Multi-step Classifier (DMC) is proposed to address the imbalance issue in credit prediction. DMC utilizes a Diffusion Model to generate continuous numerical data from credit prediction data and creates categorical data through a Multi-step Classifier. Compared to other algorithms generating synthetic data, DMC produces data with a distribution more similar to real data. Using DMC, data that closely resemble actual data can be generated, outperforming other algorithms for data generation. When experiments were conducted using the generated data, the probability of predicting delinquencies increased by over 20%, and overall predictive accuracy improved by approximately 4%. These research findings are anticipated to significantly contribute to reducing delinquency rates and increasing profits when applied in actual financial institutions.

• Journal of Broadcast Engineering
• /
• v.11 no.4 s.33
• /
• pp.386-395
• /
• 2006

Multi-view video coding technology demands the very high efficient coding technologies, because it has to encode a number of video sequences which are achieved from a number of video cameras. For this purpose, multi-view video coding introduces the inter-view prediction scheme between different views, but it shows a limitation of coding performance enhancement by adopting only new prediction method. Accordingly, we are going to achieve the more coding performance by enhancing dequantizer perfermance. Multi-view video coding is implemented basically based on H.264/AVC and uses the same quantization/de-quantization method as H.264/AVC does. The conventional quantizer and dequantizer is designed with the assumption that input residual signal follows the Laplacian PDF. However, it doesn't follow the fixed PDF type always. This mismatch between assumption and real data causes degradation of coding performance. To solve this problem, we propose the efficient de-quantization method based on quantized coefficients distribution at decoder without extra information. The extensive simulation results show that the proposed algorithm produces maximum $1.5\;dB{\sim}0.6\;dB$ at high bitrate compared with that of conventional method.