• Journal of Information Science Theory and Practice
• /
• v.8 no.1
• /
• pp.20-32
• /
• 2020

Informational urbanism is a new research area in information science. In this study, art history joins informational urbanism: Are digital artworks in public urban spaces recognized as essential assets of a smart city? We employed case study research, working with the example of the huge digital media façade of the Arthouse Graz as an artwork in a public space. In a mixed-methods approach, we asked passers-by and interviewed experts on Graz as a smart city and on the Arthouse's role concerning the image of Graz as a smart city. The research found strong hints that indeed digital artworks with large screens or media façades at public spaces are parts of a city's weak location factors as well as of the city's urban structure and may symbolize the city's smartness. A practical implication of this finding is that artists, computer and information scientists, city planners, and architects should include interactive contemporary digital art into city spaces in order to demonstrate the city's way towards knowledge society.

• 한국공간정보시스템학회:학술대회논문집
• /
• 2005.11a
• /
• pp.61-66
• /
• 2005

Spatiotemporal data mining represents the confluence of several fields including spatiotemporal databases, machine loaming, statistics, geographic visualization, and information theory. Exploration of spatial data mining and temporal data mining has received much attention independently in knowledge discovery in databases and data mining research community. In this paper, we introduce an algorithm Max_MOP for discovering moving sequences in mobile environment. Max_MOP mines only maximal frequent moving patterns. We exploit the characteristic of the problem domain, which is the spatiotemporal proximity between activities, to partition the spatiotemporal space. The task of finding moving sequences is to consider all temporally ordered combination of associations, which requires an intensive computation. However, exploiting the spatiotemporal proximity characteristic makes this task more cornputationally feasible. Our proposed technique is applicable to location-based services such as traffic service, tourist service, and location-aware advertising service.

• Nonlinear Functional Analysis and Applications
• /
• v.28 no.4
• /
• pp.1051-1067
• /
• 2023

In this paper, an algorithm for approximating zeros of sum of three monotone operators is introduced and its convergence properties are studied in the setting of 2-uniformly convex and uniformly smooth Banach spaces. Unlike the existing algorithms whose step-sizes usually depend on the knowledge of the operator norm or Lipschitz constant, a nice feature of the proposed algorithm is the fact that it requires only a diminishing and non-summable step-size to obtain strong convergence of the iterates to a solution of the problem. Finally, the proposed algorithm is implemented in the setting of a classical Banach space to support the theory established.

• Journal of the Economic Geographical Society of Korea
• /
• v.13 no.3
• /
• pp.335-353
• /
• 2010

Following the emergence of a knowledge-based economy, the triple helix model has been recognized as a new - regional and national - innovation model. This model seeks to understand the innovation process that is centered upon the university-industry-government interactions. The governance of the triple helix innovation system can be divided into three models according to the structure and depth of university-industry-government interactions. In the context of evolution, the triple helix can be established through the following three processes of development; i) internal transformation of each helix, ii) impacts of one helix on another helix, and iii) horizontal interactions among three helices. In theory, the triple helix model can be covered as part of the innovation system perspective. Compared to the innovation system perspective, the triple helix model tends to pay, however, more attention to the incompleteness of innovation system and the role of university in the process of knowledge creation. In view of regional innovation, the triple helix can be sustained when the triple helix spaces, including knowledge space, consensus space and innovation space, are created and the three triple helix spaces interact with one another. The existing literature on the triple helix model tends to make selectively use of only a single method between the qualitative method and the quantitative method, although both have shortcomings to reveal the dynamic characteristics of university-industry-government relations. Therefore, research on the triple helix is required to reconcile with two research methods, which are distinct but complementary in nature.

• Korean Institute of Interior Design Journal
• /
• v.15 no.6 s.59
• /
• pp.43-51
• /
• 2006

The purpose of this study is to present possibility about applying space design of urban theory focused on collective memory. Urban which is the final data of human's collective life has been recognized creative circumstances human collective is living. It can not think without collective from its motivation to problem of form as well as building as element which compose these cities. It is to recognize essential attribute of construction in the collective that think architecture with urban, and It means that recognize actuality of architecture that can talk as the most collective product that represent human. There was discussion for collective and urban. But, this problem was proceeded to clear human knowledge of architecture mainly in other discipline, and even if speak as field of architecture, it could just pass confined meaning by refering at process that clear several main aspects of architecture as doing not pass over more than it. Problem of form that is ultimate aspect of architecture remained by different thing still doing not combine with collective architecture, and occasionally happened the case that make collective of architecture and relation of form overly incommodiously reducing form by a tool for diagram, shape, figuration in the aspect of collective. This research study concept for memory collective in the urban and collective of architecture, and choose urban planning methodology and their work by specific example between Aldo Rosi and Rem Koolhaas dealing with architecture and urban, and present possibility about space design of urban.

• Journal of The Korean Association For Science Education
• /
• v.34 no.8
• /
• pp.731-744
• /
• 2014

Extracting students' own culture and resources as main sources in science class, we begin a research to explore teaching and learning settings that are more responsive to adolescents. This study has been designed to explore the funds of knowledge that students bring into middle school science class. It also focused on the features of teaching and learning settings that stimulated the autonomous inflow of students' funds of knowledge as resources of science learning. Data from participant observations and in-depth interviews with 7th grade students were qualitatively analyzed based on grounded theory. We found that students' funds of knowledge were formed from their family life, neighbor communities, peer group, and pop culture. The funds of knowledge based on peer culture emerged as the most salient factor of students' enhanced participation and utterance. Common features of classes that stimulated the inflow of funds of knowledge were analyzed to be: (1) hybrid spaces for learning designed in advance: (2) sharing and enlargement of the funds of knowledge that has been brought into the class: and (3) common orientation of the community of practice for knowledge co-construction and shared outcomes. From these findings, this paper discussed the educational implications for promoting students' potential resources to actual sources of science class. It also discussed students' development of participation specifically among the generally marginalized students. Science classes based on the funds of knowledge of students offer an increased possibility of knowledge co-construction through the hybridized interactions of student's everyday lives and science knowledge and lead to more meaningful learning experiences.

• Journal of Intelligence and Information Systems
• /
• v.20 no.2
• /
• pp.179-192
• /
• 2014

Keeping in line with the recent changes in the information technology environment, the online learning environment that supports multiple users' participation such as MOOC (Massive Open Online Courses) has become important. One of the largest professional associations in Information Technology, IEEE Computer Society, announced that "Supporting New Learning Styles" is a crucial trend in 2014. Popular MOOC services, CourseRa and edX, have continued to build active learning environment with a large number of lectures accessible anywhere using smart devices, and have been used by an increasing number of users. In addition, collaborative web services (e.g., blogs and Wikipedia) also support the creation of various user-uploaded learning materials, resulting in a vast amount of new lectures and learning materials being created every day in the online space. However, it is difficult for an online educational system to keep a learner' motivation as learning occurs remotely, with limited capability to share knowledge among the learners. Thus, it is essential to understand which materials are needed for each learner and how to motivate learners to actively participate in online learning system. To overcome these issues, leveraging the constructivism theory and collective intelligence, we have developed a social bookmarking system called WeStudy, which supports learning material sharing among the users and provides personalized learning material recommendations. Constructivism theory argues that knowledge is being constructed while learners interact with the world. Collective intelligence can be separated into two types: (1) collaborative collective intelligence, which can be built on the basis of direct collaboration among the participants (e.g., Wikipedia), and (2) integrative collective intelligence, which produces new forms of knowledge by combining independent and distributed information through highly advanced technologies and algorithms (e.g., Google PageRank, Recommender systems). Recommender system, one of the examples of integrative collective intelligence, is to utilize online activities of the users and recommend what users may be interested in. Our system included both collaborative collective intelligence functions and integrative collective intelligence functions. We analyzed well-known Web services based on collective intelligence such as Wikipedia, Slideshare, and Videolectures to identify main design factors that support collective intelligence. Based on this analysis, in addition to sharing online resources through social bookmarking, we selected three essential functions for our system: 1) multimodal visualization of learning materials through two forms (e.g., list and graph), 2) personalized recommendation of learning materials, and 3) explicit designation of learners of their interest. After developing web-based WeStudy system, we conducted usability testing through the heuristic evaluation method that included seven heuristic indices: features and functionality, cognitive page, navigation, search and filtering, control and feedback, forms, context and text. We recruited 10 experts who majored in Human Computer Interaction and worked in the same field, and requested both quantitative and qualitative evaluation of the system. The evaluation results show that, relative to the other functions evaluated, the list/graph page produced higher scores on all indices except for contexts & text. In case of contexts & text, learning material page produced the best score, compared with the other functions. In general, the explicit designation of learners of their interests, one of the distinctive functions, received lower scores on all usability indices because of its unfamiliar functionality to the users. In summary, the evaluation results show that our system has achieved high usability with good performance with some minor issues, which need to be fully addressed before the public release of the system to large-scale users. The study findings provide practical guidelines for the design and development of various systems that utilize collective intelligence.

• Journal of the Korean association of regional geographers
• /
• v.4 no.2
• /
• pp.201-217
• /
• 1998

This paper examined the strategy of experiential learning on Web-based cyberspace for constructive education of social studies. The results as follows : The first, constructivism has brought the paradigm shift in traditional principles of teaching and learning, constructivism is not a theory about teaching, it is a theory about knowledge and learning, learning is understood as a self-regulated process of resolving inner cognitive conflicts that often become apparent through experience, collaborative discourse, and reflection. It is proper for constructive education of social studies to carry out from cognitive constructivism to socio-cultural constructivism, from socio-cultural constructivism to cognitive constructivism and co-constructivism, considering the aim or objectives of social studies education. The second, Web-based Instruction(WBI) can provide learners for constructive environments which can be proper for teaching and learning. WBI was suggested as the best medium for constructive education of social studies in the information age. WBI must design teaching and learning so that may not be teacher-centered, if teacher-centered, it is not constructivism. The third, Web-based cyberspace is the proper mediated experience fields for experiential learning to effectively study regions or space because of overcoming distance fractions through the time-space convergence, it actualize the constructive education of social studies in the space age.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.26 no.3
• /
• pp.233-238
• /
• 2016

In this paper, we propose the algorithms of processing the uncertainty data using data fusion for the next generation intrusion detection. In the next generation intrusion detection, a lot of data are collected by many of network sensors to discover knowledge from generating information in cyber space. It is necessary the data fusion process to extract knowledge from collected sensors data. In this paper, we have proposed method to represent the uncertainty data, by classifying where is a confidence interval in interval of uncertainty data through feature analysis of different data using inference method with Dempster-Shafer Evidence Theory. In this paper, we have implemented a detection experiment that is classified by the confidence interval using IRIS plant Data Set for anomaly detection of uncertainty data. As a result, we found that it is possible to classify data by confidence interval.

• Journal of the Korean Ceramic Society
• /
• v.53 no.3
• /
• pp.317-324
• /
• 2016

Continued miniaturization and increasingly exact requirements for thin film deposition in the semiconductor industry is driving the search for new effective, efficient, selective precursors and processes. The requirements of defect-free, conformal films, and precise thickness control have focused attention on atomic layer deposition (ALD). ALD precursors so far have been developed through a trial-and-error experimental approach, leveraging the expertise and tribal knowledge of individual research groups. Precursors can show significant variation in performance, depending on specific choice of co-reactant, deposition stage, and processing conditions. The chemical design space for reactive thin film precursors is enormous and there is urgent need for the development of computational approaches to help identify new ligand-metal architectures and functional co-reactants that deliver the required surface activity for next-generation thin-film deposition processes. In this paper we discuss quantum mechanical simulation (e.g. density functional theory, DFT) applied to ALD precursor reactivity and state-of-the-art automated screening approaches to assist experimental efforts leading toward optimized precursors for next-generation ALD processes.