• 산업경영시스템학회지
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• 제42권4호
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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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• 제22권2호
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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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• 제28권2호
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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.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2021년도 추계학술발표대회
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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.

• 정보보호학회논문지
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• 제28권6호
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• pp.1563-1583
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• 2018

전자금융 규제 완화와 함께 핀테크가 활성화되었다. 인공지능에 대한 논의가 금융업에서도 활발하다. 하지만 신기술의 이면에는 보안 위협의 증가라는 문제가 있다. 과거보다 연결이 되고, 금융업의 채널과 주체가 다양해지면서 보안 취약점이 증가했다. 보안에 대한 기술적, 정책적 논의가 있지만 결국 모든 논의의 본질은 인간이다. 금융의 기본은 신뢰와 보안이고, 이를 위해 인간적 요소에 대한 관심은 중요하다. 본 연구는 금융 보안을 위한 인간과 인공지능의 역할을 각각 제시한다. 나아가 인간과 인공지능이 서로의 한계를 보완한 협업 모델을 도출한다. 이를 뒷받침하기 위해 금융과 IT의 발전, 인공지능, 휴먼팩터, 그리고 금융 보안 위협에 대해 우선 논한다. 본 연구는 신기술의 시대에 보안 위협이 심화되지만 반대로 기계, 기술을 활용하여 이를 극복할 수 있다는 방향성을 제안한다.

• Journal of Information Science Theory and Practice
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• 제4권2호
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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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• 제10권3호
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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.

• 한국전자통신학회논문지
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• 제17권2호
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• pp.207-212
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• 2022

철도 교통시스템은 최근 들어 각 구성 요소의 자동화 단계를 넘어 지능화를 추구하는 스마트 철도로 발전하고 있다. IoT(: Internet of Things), 빅데이터, 딥러닝, AI(: Artificial Intelligence), 블록체인 등 ICT(: Information & Communications Technology) 기술에 기반한 스마트 철도는 국내외 철도 기술에 많은 발전적 변화를 일으킬 것으로 예상된다. 본 논문에서는 이와 같은 스마트 철도 시스템(SRS: Smart Railway System)의 근간을 이루는 철도 통신 기술의 국내외 표준화 동향에 대해서 살펴보고 향후 우리나라 철도교통시스템에서의 열차제어 기술(CBTC)이 세계 철도산업에서의 선도 기술이 되기 위한 지향점(UBTC)에 관하여 논한다.

• 지식경영연구
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• 제19권1호
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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.

• 한국전자통신학회논문지
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• 제18권3호
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• pp.421-426
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• 2023

인공지능 융합기술 중 Chatbot은 인공지능 기반의 대화형 시스템이며, 인간과의 상호작용을 제공할 수 있는 시스템을 말한다. 챗봇의 발전으로 NLP, NLU 그리고 NLG로 발전하게 되면서, 챗봇이 재조명되고 있다. 하지만 인공지능 챗봇은 학습한 데이터에 따라 편향된 정보를 제공할 수 있고, 프라이버시 침해, 사이버 보안의 우려를 비롯한 심각한 피해를 줄 수 있으며, 이에 인공지능 기술의 이해와 효과적이고 책임감 있게 사용할 수 있는 능력인 AI 리터러시 함양이 필수적임을 제시했다. 인공지능의 지속적인 진화와 보편화에 따라, AI 리터리시 역시 범위를 확장하며 새로운 영역을 포함하게 될 것이다. 본 연구는 인공지능 기술에 대한 경각심을 일깨우고, 인간의 AI 리터러시 역량 함양을 통해 기술에 매몰되지 않는 인간 존중의 기술 사용을 제안하는데 그 의의가 있다고 하겠다.