• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.84-90
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• 2019

Lately, there have been tremendous shifts in the business technology landscape. Advances in cloud technology and mobile applications have enabled businesses and IT users to interact in entirely new ways. One of the most rapidly growing technologies in this sphere is business intelligence, and associated concepts such as big data and data mining. BI is the collection of systems and products that have been implemented in various business practices, but not the information derived from the systems and products. On the other hand, big data has come to mean various things to different people. When comparing big data vs business intelligence, some people use the term big data when referring to the size of data, while others use the term in reference to specific approaches to analytics. As the volume of data grows, businesses will also ask more questions to better understand the data analytics process. As a result, the analysis team will have to keep up with the rising demands on the infrastructure that supports analytics applications brought by these additional requirements. It's also a good way to ascertain if we have built a valuable analysis system. Thus, Business Intelligence and Big Data technology can be adapted to the business' changing requirements, if they prove to be highly valuable to business environment.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.159-166
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• 2022

Artificial Intelligence has stimulated every aspect of today's life. Human thinking quality is trying to be involved through digital tools in all research areas of the modern era. The education industry is also leveraging artificial intelligence magical power. Uses of digital technologies in pedagogical paradigms are being observed from the last century. The widespread involvement of artificial intelligence starts reshaping the educational landscape. Adaptive learning is an emerging pedagogical technique that uses computer-based algorithms, tools, and technologies for the learning process. These intelligent practices help at each learning curve stage, from content development to student's exam evaluation. The quality of information technology students and professionals training has also improved drastically with the involvement of artificial intelligence systems. In this paper, we will investigate adopted digital methods in the education sector so far. We will focus on intelligent techniques adopted for information technology students and professionals. Our literature review works on our proposed framework that entails four categories. These categories are communication between teacher and student, improved content design for computing course, evaluation of student's performance and intelligent agent. Our research will present the role of artificial intelligence in reshaping the educational process.

• Journal of Information Technology Applications and Management
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• v.28 no.2
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• pp.17-33
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• 2021

Korean society is changing into multicultural society with increasing international marriage and immigrant influx. The increasing number of immigrants in Korean society suggests the necessity of social and economic integration of people with diverse cultural backgrounds. We study the entrepreneurial intention of multicultural immigrant. Cultural intelligence is closely related with sustainable value and belief to their eagerness in surviving of the 2nd country. Cultural intelligence is the individual's capability to function or manage effectively in different cultural settings or in multicultural settings. It is assumed that the cultural intelligence of multicultural immigrant might affect the entrepreneurial intention. Based on the theory of planned behavior, we set up the research model. 243 usable responses of multicultural immigrants in Korea were analyzed. Our findings suggest that cultural intelligence positively affected entrepreneurial intention by affecting subjective norm and perceived behavior control. This study contributed the study of the entrepreneurial intention and multicultural immigrant.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.537-540
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• 2021

One of the most promising technologies that is raised from the fourth industrial revolution is Digital Twin (DT). A DT captures attributes and behaviors of the entity suitable for communication, storage, interpretation or processing within certain context. A digital twin based on microservice framework architecture is proposed in this paper which identifies elements required for the complete orchestration of microservice based Survival Analysis of Lung Cancer Patients. Integration of microservices and Digital Twin Technology is studied.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1563-1583
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• 2018

With the deregulation of electronic finance, FinTech has been revitalized. The discussion on artificial intelligence is active in the financial industry. However, there is a problem of increasing security threats behind new technologies. Security vulnerabilities have increased because we are more connected than before, and the channels and entities of the financial industry have diversified. Although there are technical and policy discussions on security, the essence of all discussions is human. Fundamentals of finance are trust and security, and attention to human factors is important. This study presents the role of human and artificial intelligence for financial security, respectively. Furthermore, this derives a collaborative model in which human and artificial intelligence complement each other's limitations. To support this, it first discusses the development of finance and IT, AI, human factors, and financial security threats. This study suggests that the security threats will intensify in the era of new technology, but it can overcome them by using machinery and technology.

• Journal of Information Science Theory and Practice
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• v.4 no.2
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• pp.34-52
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• 2016

This study was designed to investigate organizational culture and emotional intelligence as predictors of job performance among library personnel in Edo state, Nigeria. The survey research design was employed for the study with a population size of 181 library personnel in the 15 academic libraries under study, and due to the manageable population size, total enumeration was adopted as the sampling technique. The questionnaire was used to elicit data from the respondents. Of the 181 copies of the questionnaire administered, 163 copies were retrieved and found valid for analysis constituting a 90% response rate. Four research questions and four null hypotheses (tested at 0.05 level of significance) were formulated to guide the study. The tool used to analyze the research question was descriptive statistics (percentage, mean, and standard deviation) and inferential statistics (correlation and multiple regression) for testing the hypotheses. The findings of the study revealed that there is a high level of job performance, good organizational culture, and high level of emotional intelligence among the personnel. Organizational culture and emotional intelligence jointly and significantly predict job performance of personnel. There is significant positive correlation between organizational culture and job performance. The linear combination of emotional intelligence and organizational culture predict job performance of library personnel in the academic libraries under study. The research concludes that there is a need for high job performance in libraries which is predicted by the organizational culture of the library and the level of emotional intelligence of the library personnel.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.3
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• pp.1111-1130
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• 2016

Cooperative communications can significantly improve the wireless transmission performance with the help of relay nodes. In cooperative communication networks, relay selection and power allocation are two key issues. In this paper, we propose a relay selection and power allocation scheme RS-PA-PSACO (Relay Selection-Power Allocation-Particle Swarm Ant Colony Optimization) based on PSACO (Particle Swarm Ant Colony Optimization) algorithm. This scheme can effectively reduce the computational complexity and select the optimal relay nodes. As one of the swarm intelligence algorithms, PSACO which combined both PSO (Particle Swarm Optimization) and ACO (Ant Colony Optimization) algorithms is effective to solve non-linear optimization problems through a fast global search at a low cost. The proposed RS-PA-PSACO algorithm can simultaneously obtain the optimal solutions of relay selection and power allocation to minimize the SER (Symbol Error Rate) with a fixed total power constraint both in AF (Amplify and Forward) and DF (Decode and Forward) modes. Simulation results show that the proposed scheme improves the system performance significantly both in reliability and power efficiency at a low complexity.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.2
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• pp.207-212
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• 2022

The rail transport system is developing into a smart railroad that pursues intelligence beyond the automation stage of each component in recent years. Smart railways based on ICT (: Information & Communications Technology) technologies such as IoT (: Internet of Things), big data, deep learning, AI (: Artificial Intelligence), and block chain are expected to cause many developmental changes in domestic and foreign railway technologies. In this paper, we look at the domestic and international standardization trends of railway communication technology, which forms the basis of such smart railway system, and discuss the direction for train control technology(CBTC) in Korea's railway transportation system to become a leading technology(UBTC) in the world railway industry in the future.

• Knowledge Management Research
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• v.19 no.1
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• pp.97-118
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• 2018

The finance-investment industry is currently focusing on research related to artificial intelligence and big data, moving beyond conventional theories of financial engineering. However, the case of equity optimization portfolio by using an artificial intelligence, big data, and its performance is rarely realized in practice. Thus, the purpose of this study is to propose process improvements in equity selection, information analysis, and portfolio composition, and lastly an improvement in portfolio returns, with the case of an equity optimization model based on quantitative research by an artificial intelligence. This paper is an empirical study of the portfolio based on an artificial intelligence technology of "D" asset management, which is the largest domestic active-quant-fiduciary management in accordance with the purpose of this paper. This study will apply artificial intelligence to finance, analyzing financial and demand-supply information and automating factor-selection and weight of equity through machine learning based on the artificial neural network. Also, the learning the process for the composition of portfolio optimization and its performance by applying genetic algorithms to models will be documented. This study posits a model that the asset management industry can achieve, with continuous and stable excess performance, low costs and high efficiency in the process of investment.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.3
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• pp.421-426
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• 2023

Among artificial intelligence convergence technologies, Chatbot is an artificial intelligence-based interactive system and refers to a system that can provide interaction with humans. Chatbots are being re-examined as chatbots develop into NLP, NLU, and NLG. However, artificial intelligence chatbots can provide biased information based on learned data and cause serious damage such as privacy infringement and cybersecurity concerns, and it is essential to understand artificial intelligence technology and foster AI literacy. With the continued evolution and universalization of artificial intelligence, AI Literacy will also expand its scope and include new areas. This study is meaningful in raising awareness of artificial intelligence technology and proposing the use of human respect technology that is not buried in technology by cultivating human AI literacy capabilities.