• Educational Technology International
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• v.6 no.1
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• pp.3-39
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• 2005

Korea and Japan have been making a continuous effort to build information and communication technology (ICT) infrastructure in schools, and integrate ICT into curriculum by training teachers based on own ICT policies in education. ICT policy in education isparticularly diverse and challenging, in part because the rapid development of ICT continues to create new possibilities for use and demands the transformation of the ways we teach and learn. The present study is to analyze ICT policies of Korea and Japan, between 1980's and the present period, in a larger educational and historical context. The study reviews chronological changes in major streamlines of ICT policies of both countries, and discusses in detail changes in two aspects of ICT policies in education, that is, ICT infrastructure and teacher training. The paper points out convergence and diversity of ICT policies in two countries and concludes with a set of guidelines for ICT policy makers.

• Journal of Sensor Science and Technology
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• v.32 no.6
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• pp.378-385
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• 2023

Human biosignals provide essential information for diagnosing diseases such as dementia and Parkinson's disease. Owing to the shortcomings of current clinical assessments, noninvasive solutions are required. Machine learning (ML) on wearable sensor data is a promising method for the real-time monitoring and early detection of abnormalities. ML facilitates disease identification, severity measurement, and remote rehabilitation by providing continuous feedback. In the context of wearable sensor technology, ML involves training on observed data for tasks such as classification and regression with applications in clinical metrics. Although supervised ML presents challenges in clinical settings, unsupervised learning, which focuses on tasks such as cluster identification and anomaly detection, has emerged as a useful alternative. This review examines and discusses a variety of ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), Neural Networks (NN), and Deep Learning for the analysis of complex clinical data.

• Asia Marketing Journal
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• v.25 no.3
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• pp.99-110
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• 2023

Chatbot services have become an essential communication tool for interacting with consumers in e-commerce. To understand consumer behavior in the context of chatbot services, we apply the Theory of Planned Behavior (TPB) to analyze continuance intention to use and additional predictors to explain behavioral intention. An analysis of data collected from 300 digital shopping users who had experienced chatbot services revealed that an extended TPB model holds for the continuous use of chatbot services, driven by both interaction and information quality. Accordingly, these ndings provide a better understanding of consumer behavior toward chatbot services and valuable insights into digital customer relationship management.

• Journal of KIISE:Databases
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• v.33 no.6
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• pp.578-589
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• 2006

Owing to the proliferation of Radio Frequency Identification (RFID) technologies which is being watched as a core technology of ubiquitous computing, applications which offer convenience to people using RFID technologies are more and more increased. To easily develop these applications, a middleware system which acts as a bridge between RFID hardware and application is essential. In this paper, we propose a novel XML-based RFID middleware system called UbiCore (Ubiquitous Core). UbiCore has following features: First, UbiCore employs its own query language called XQueryStream (XQuery for Stream Data) which is originated from XQuery. Second, UbiCore has the preprocessing phase called pre-filtering prior to query evaluation and reuses the intermediate result of previous evaluation to speed up the processing of RFID tag data stream. Third, UbiCore supports query on both continuously generated stream data and archived historical data. And last, UbiCore offers a distinct markup language called Context-driven Service Markup Language (CSML) to easily specify the linking information between context and service.

• Journal of The Korean Association For Science Education
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• v.41 no.3
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• pp.267-281
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• 2021

The shift in the perspective on learning as participation draws attention to learners' identity work. This manuscript foregrounds the ongoing and fluid processes of identity, and focuses on the structure surrounding learners where identity work occurs and the expression of individual agency. From the perspective of learning as participation, we introduce Holland et al. (1998) identity-in-practice theory, as the theoretical lens that dialectically describes structure, agency and identity. The concepts representing this theory are 'figured world', 'positionality' and 'authoring self'. The figured world is a web of meaning encompassing the continuous construct/reconstruct through human actions and also exerts as the social force that shapes human actions. 'Positionality' on the other hand, means an understanding of one's social position in the world. The notion of 'authoring self', is a dimension that synthesizes the above two concepts, which describes the improvisation of one's self through the orchestration and collaboration of various social voices. Next, we analyzed and described various cases of this theory that we found within the scope of science education. However, due to the nature of this theory, which takes a sociocultural approach, international research studies cannot be simply applied to the Korean context. Therefore, we sought to expand the applicability of this theory as a methodological tool, by discussing the directions in which this theory can be used in a domestic context. It is intended that the introduction of this theory, which emphasizes multi-layered, continuous and cumulative identity work, will be used as a resource to further expand the horizon of science education reform that is required for the times.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.149-163
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• 2022

The rapid changes in the environment surrounding today's companies require continuous securing and retention of excellent human resources to maintain competitiveness. Therefore, research on work engagement (WE) and turnover intention (TI) was actively conducted as a representative factor necessary to secure the organizational competitive advantage and promote continuous growth. This is because the high performer has relatively high capabilities and high employability according to market demand, so securing and maintaining them is a very important issue from the perspective of corporate management. Research on the relationship between WE and TI have been conducted in various fields so far, but the results have been derived differently for each study. This means that there may be differences depending on the characteristics of the domestic context. However, studies that analyzed the relationship from a comprehensive and overall perspective are very rare, and the need for research is raised. Therefore, this study attempted to statistically analyze the relationship between variables and present research directions by synthesizing the results of existing studies. Through the analysis of previous studies, a meta-analysis was conducted on the effect of WE on TI within the organization in the domestic context to analyze the effect, and academic and practical implications were derived based on this.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.5
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• pp.65-71
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• 2009

As a core area of the new computing paradigm, the Ubiquitous Sensor Network Technology utilizes a wireless sensor networking which can be applied to the Context Information Monitoring System. When the technology is used in a poor user-environment for monitoring purposes, it can cost-effectively gather the context data on real-time basis, analyze the information gathered, effectively response to the user situation, and execute orders to create environmental factors desired by the user. This study structures a system able to monitor information in regards to a user-environment based on wireless-node sensor technology coupled with the Ubiquitous Sensor Network Technology. In this paper, the protocol in which it manages the wireless sensor network as the zone based by using the management protocol standardized at the smart home with a profile is proposed. The proposed system requires a minimal collection of data without continuous monitoring. Monitoring periodically, it can sense the user-environment more efficiently than the existing monitoring technologies based on the wire-communication technology.

• Journal of Information Technology Services
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• v.19 no.5
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• pp.137-153
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• 2020

Most enterprises today work on digital transformation projects to cope with uncertainties caused by the rapid change and cutting-edge technology. The key point is they need to take a novel approach on new projects for high performance. In this context, there is a growing interest in utilizing agile method; however, many studies on Impact of Digital Transformation on the Results of Innovation do not deal with agile methodology. The research specifies the case of Seoul Metro, regarded as best-practice on digital transformation, based on the agile way of working. The case study is based on in-depth interview with Seoul Metro's executives and employees, and the interview is analyzed using keywords from the 12 Agile Principles. Thus, among the 12 Agile Principles, Motivation and Trust, Face-to-face Interactions, Continuous Attention to Technical excellence and good design, Self-Organizing Team contributed the most to successful digital transformation projects. In addition, based on Requirements Uncertainty and Technical Degree of Uncertainty, they carry different kinds of traits. For instance, the higher the uncertainty toward requirements and required technology is, the more technological development pace is maintained. Given the conservative nature of public corporations, it is necessary to adopt the agile way of working, such as improving employees' technological capabilities and allowing teams to be organized within themselves, in a bid to produce successful innovation outcome.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.93-96
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• 2015

In this paper, we introduce a fire detection system using context-aware sensor. In existing weather and based on vision sensor of fire detection system case, acquired image through sensor of camera is extracting features about fire range as processing to convert HSI(Hue, Saturation, Intensity) model HSI which is color space can have durability in illumination changes. However, in this case, until a fire occurs wide range of sensing a fire in a single camera sensor, it is difficult to detect the occurrence of a fire. Additionally, the fire detection in complex situations as well as difficult to separate continuous boundary is set for the required area is difficult. In this paper, we propose an algorithm for real-time by using a temperature sensor, humidity, Co2, the flame presence information acquired and comparing the data based on multiple conditions, analyze and determine the weighting according to fire it. In addition, it is possible to differential management to intensive fire detection is required zone dividing the state of fire.

• Korean Journal of Biological Psychiatry
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• v.11 no.2
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• pp.155-164
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• 2004

Objective:The present study examined the association between basic neurocognitive functions and emotional recognition in chronic schizophrenia. Furthermore, to Investigate cognitive variable related to emotion recognition in Schizophrenia. Methods:Forty eight patients from the Yongin Psychiatric Rehabilitation Center were evaluated for neurocognitive function, and Emotional Recognition Test which has four subscales finding emotional clue, discriminating emotions, understanding emotional context and emotional capacity. Measures of neurocognitive functioning were selected based on hypothesized relationships to perception of emotion. These measures included:1) Letter Number Sequencing Test, a measure of working memory;2) Word Fluency and Block Design, a measure of executive function;3) Hopkins Verbal Learning Test-Korean version, a measure of verbal memory;4) Digit Span, a measure of immediate memory;5) Span of Apprehension Task, a measure of early visual processing, visual scanning;6) Continuous Performance Test, a measure of sustained attention functioning. Correlation analyses between specific neurocognitive measures and emotional recognition test were made. To examine the degree to which neurocognitive performance predicting emotional recognition, hierarchical regression analyses were also made. Results:Working memory, and verbal memory were closely related with emotional discrimination. Working memory, Span of Apprehension and Digit Span were closely related with contextual recognition. Among cognitive measures, Span of Apprehension, Working memory, Digit Span were most important variables in predicting emotional capacity. Conclusion:These results are relevant considering that emotional information processing depends, in part, on the abilities to scan the context and to use immediate working memory. These results indicated that mul- tifaceted cognitive training program added with Emotional Recognition Task(Cognitive Behavioral Rehabilitation Therapy added with Emotional Management Program) are promising.