• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.381-382
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• 2019

Recently, various search techniques using artificial intelligence techniques have been introduced. It is also possible to use the artificial intelligence to grasp customer propensity. Analyzing the clothes that customers usually wear, it is possible to analyze various colors such as favorite colors, patterns, and fashion styles. In this study, we use artificial intelligence technology to create an application that distinguish between adults and children by combining various factors such as shape, type, color and size of human clothes. Through this, it will be possible to utilize it in a living area where children can be protected in advance by grasping the intrusion of unauthorized adults in the living area where children live mainly. In addition, in the future, we can obtain good results to detect stranger adult person if we apply this experimental result to the detection system using clothing information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.1
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• pp.305-326
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• 2019

Discriminative correlation filter (DCF) based tracking algorithms have recently shown impressive performance on benchmark datasets. However, amount of recent researches are vulnerable to heavy occlusions, irregular deformations and so on. In this paper, we intend to solve these problems and handle the contradiction between accuracy and real-time in the framework of tracking-by-detection. Firstly, we propose an innovative strategy to combine the template and color-based models instead of a simple linear superposition and rely on the strengths of both to promote the accuracy. Secondly, to enhance the discriminative power of the learned template model, the spatial regularization is introduced in the learning stage to penalize the objective boundary information corresponding to features in the background. Thirdly, we utilize a discriminative multi-scale estimate method to solve the problem of scale variations. Finally, we research strategies to limit the computational complexity of our tracker. Abundant experiments demonstrate that our tracker performs superiorly against several advanced algorithms on both the OTB2013 and OTB2015 datasets while maintaining the high frame rates.

• Journal of The Korean Association of Information Education
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• v.22 no.6
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• pp.629-638
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• 2018

The purpose of this study is to examine experts' conceptions of the competencies of future talent to live in the fourth industrial revolution. To this end, 144 experts in the education sector conducted conceptions survey on the talented for intelligence and information society. The main findings of the survey by experts are summarized as follows. First, the level of agreement on the competencies of the talented in the intelligence and information society was found in the order of 'creative convergence competencies', 'making competencies', 'character competencies' and 'specialization competencies'. Second, the highest level of agreement on the characteristic factors were found to be 'problem-solving ability' belonging to 'creative convergence competencies'. Finally the highest level of agreement on the characteristic components were found to be 'problem-solving ability' belonging to 'creative convergence competencies'.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.629-637
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• 2019

Rapid changes in the knowledge and information society of the 21st century should be embraced and applied to teachers. Since artificial intelligence(AI) is an important axis of rapid change, artificial intelligence education should be started from elementary school. This change requires elementary school teachers to have basic skills for AI education. In this study, an AI education program for elementary school teachers is developed. This development consists of three stages, the first stage is the understanding of artificial intelligence, the second stage is the understanding and application of artificial intelligence tools, and the final stage is the creation and application of artificial intelligence programs. 15 elementary school teachers were tested. The result of this study will be a useful educational program for teachers in charge of AI education in elementary school students.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.73-87
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• 2019

The purpose of this study is to clarify the continuous usage intention of artificial intelligence products and services. In this study, we try to define the artificial intelligence quality and preference on the online job information platform and investigate the effect of artificial intelligence on continues usage intention. A survey of artificial intelligence users was conducted and recalled 184. The empirical analysis shows that the artificial intelligence quality and preference have a positive effect on satisfaction, and that the satisfaction has significant effect on the intention of continuing use. but the artificial intelligence quality does not significantly affect the intention of continuing use. These results are expected to provide useful guidelines for artificial intelligence technology products or services in the future.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.269-275
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• 2022

As artificial intelligence services targeting humans increase, social demands are increasing that artificial intelligence should also be made on an ethical basis. Following this trend, the government and businesses are preparing policies and norms related to artificial intelligence ethics. In order to establish reasonable policies and norms, the first step is to understand the public's perceptions. In this paper, social data and news comments were collected and analyzed to understand the public's perception related to artificial intelligence and ethics. Interest analysis, emotional analysis, and discourse analysis were performed and visualized on the collected datasets. As a result of the analysis, interest in "artificial intelligence ethics" and "artificial intelligence" favorability showed an inversely proportional correlation. As a result of discourse analysis, the biggest issue was "personal information leakage," and it also showed a discourse on contamination and deflection of learning data and whether computer-made artificial intelligence should be given a legal personality. This study can be used as data to grasp the public's perception when preparing artificial intelligence ethical norms and policies.

• Annual Conference of KIPS
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• 2023.11a
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• pp.245-247
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• 2023

블록체인 분석 플랫폼은 블록체인에 저장된 데이터 기반의 다양한 산업분야 활용성 증대를 위하여 분산 블록체인 기반 대규모/대용량 데이터에 대한 고속 분석을 통하여 신뢰성이 보장되는 보안과 신뢰 기반의 데이터 서비스를 제공하기 위한 분석 플랫폼이다. 본 논문에서는 블록체인 분석 플랫폼에서 제공하는 데이터 분석 중 시계열 데이터에 대한 고성능의 분석을 제공하기 위한 시계열 데이터 인덱스의 설계와 구현에 대하여 기술한다.

• Asia pacific journal of information systems
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• v.33 no.3
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• pp.624-651
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• 2023

The study makes several contributions to not only the adoption literature by examining the influence of Emotional Intelligence (EI) and Big-Five traits on adoption of Augmented Reality (AR) but also given its utility in both industry and research, it contributes to the interesting inter-disciplinary domain of psychology, information systems, and human behaviour. A quantitative based approach using a sample of 275 respondents was undertaken. It is found that emotional intelligence influence both perceived ease-of-use and perceived usefulness. They in turn influence intention to use. Another important observation is that personality traits (openness and agreeableness) have a significant moderating effect on the relation between attitude and intention to use AR. This research will help academicians and executives working on the adoption of AR in various sectors ranging from retail industry to the education sector. The originality of this study is that it explores the impact of EI on the acceptance of AR and helps in extending the literature in interdisciplinary research.

• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1301-1306
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• 2018

Artificial intelligence is one of the key technologies of the Fourth Industrial Revolution. This paper introduces the diverse kinds of approaches to subjects that tackle diverse kinds of research fields such as model-based MS approach, deep neural network model, image edge detection approach, cross-layer optimization model, LSSVM approach, screen design approach, CPU-GPU hybrid approach and so on. The research on Superintelligence and superconnection for IoT and big data is also described such as 'superintelligence-based systems and infrastructures', 'superconnection-based IoT and big data systems', 'analysis of IoT-based data and big data', 'infrastructure design for IoT and big data', 'artificial intelligence applications', and 'superconnection-based IoT devices'.

• 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.