• Journal of People, Plants, and Environment
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• v.24 no.1
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• pp.29-38
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• 2021

Background and objective: The physical environment where children spend most of their time is closely associated with their emotional development. To improve the emotional health of children, the introduction of natural elements in the indoor space has been suggested, the benefits of which have been shown in preliminary studies. This study aims to examine the effects that a biowall - a wall installation - in a classroom has on the emotional health of children in kindergarten. Methods: A total of four biowalls were separately installed in four kindergarten classrooms at a school in Seoul, South Korea, and the 60 children in these classrooms participated in the study. We assessed the children's emotional intelligence (via an Emotional Intelligence Rating Scale), resilience (via the Devereux Early Childhood Assessment), and eco-friendly attitudes (via the Children's Attitudes Toward Scale) before the installation of the biowalls and then again 3 months later. Results: The children's emotional intelligence, resilience, and eco-friendly attitudes had been significantly improved after the installation of the biowalls (p = .01). The sub-categories of the children's emotional intelligence and resilience were also significantly improved (p < .001). Conclusion: This study demonstrates the potential of biowalls-as an indoor environmental factor-in promoting the healthy emotional development of children. By bringing natural elements into indoor classroom settings, biowalls appear to increase children's direct/indirect contact with nature. To extrapolate the results of the study to the general population, future studies should be conducted with broader age groups.

• Korean Security Journal
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• no.61
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• pp.59-85
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• 2019

In the reality that the boundary between the real world and the virtual world disappears with the 4th Industrial Revolution, cyber crimes that occur beyond time and space have clear limitations in fulfilling their duties only with the police force of government organizations established under the real law system. The research method of this thesis is based on the literature research and the experience of security work. The purpose of this paper is to establish a social system where collective intelligence of each social field can participate voluntarily to respond to cyber crimes occurring beyond the time and space before the law and institutionalization. In addition, the social system in which collective intelligence in each social sector can participate voluntarily was established to define crime types in cyberspace in real time and to prevent crimes defined by the people themselves and the counter-measures had been proposed in order to form social consensus. First, it is necessary to establish a collective intelligent network-type cyberpolice volunteer system. The organization consists of professors of security and security related departments at universities nationwide, retired public officials from the National Intelligence Service, the National Police Agency, and the National Emergency Management Agency, security companies and the organizations, civilian investigators, security & guard, firefighting, police, transportation, intelligence, security, national security, and research experts. Second, private sector regulation should be established newly under the Security Business Act. Third, the safety guard of the collective intelligent cyberpolice volunteer system for the stability of the people's lives should strengthen volunteer work. Fourth, research lessons and legal countermeasures against cybercrime in advanced countries should be introduced. Fifth, the Act on the Protection of Personal Information, the Act on Promotion of Information and Communication Network Utilization and Information Protection, the Act on the Utilization and Protection of Credit Information, and the Special Act on the Materials and Parts Industry should be amended. Sixth, police officers should develop cybercrime awareness skills for proactive prevention activities.

• Korean Institute of Interior Design Journal
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• v.20 no.6
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• pp.27-35
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• 2011

Various thoughts about the concept of space have brought a variety of paradigms to the trend. Just as existing information innovation applied activity and function of physical space for computers to overcome time and space limits, future space transplants intelligence to all the objects as organic whole in electronic and physical space by using IT technology to create emotional space. The most universal housing space in our living has had considerable changes in application of life style and technology. However, advanced technology space which corresponds to acceptance and desires of residents does not meet the needs and emotion of residents because of its limited network system. Therefore, it should be transformed into smart space which stimulates human emotion in the trend of advanced technology culture. As future residential space needs technological elements and design process which can stimulate human emotion, this study is to analyse it as a base of emotional design. This study aims to present characteristics of space image for space realization which meets the age of smart technology in terms of unifying smart space with emotional design, focusing on four future housing galleries shown by construction companies. First, the study speculated smart space in theory and classified characteristics and types of smart space into connectivity, sensitivity, reiteration and variability according to changes in space paradigm. Second, the study identified the background and main points emotional design appeared, analysed types of smart space based on characteristics of experimentation, connectivity and symbolism and speculated characteristics of emotional design in each type. In respect to characteristics of emotional design in smart space, organic connection and sensitivity are remarkably presented through experimentation and reiteration is presented through organic connection and experimentation, and variability through symbolism and experimentation.

• Electronics and Telecommunications Trends
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• v.33 no.1
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• pp.11-19
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• 2018

IoT is used not only as a technical terminology but also as a paradigm representation. As the number of IoT devices spread tremendously throughout the world, they are able to be located anywhere,recognize their environment, and achieve adaptable reactions. All market investigation agencies expect the number of IoT devices to reach tens to hundreds of billions in number. They also expect various technical problems owing to the huge number of connected things and data that will emerge during the AI era. The decentralization of centralized computing for AI is the one of the technical solutions to such problems, and the computing roles for AI will be soon distributed into the things, which can be located anywhere. In this article, the traditional distributed intelligence and its current research activities are introduced, and the next distributed intelligence target for the IoT 2.0 era is briefly touched upon using the keyword Socio-Things.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1775-1780
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• 2005

One of the most important factors so that mobile objects can achieve their purpose is the information about their positions. In this paper, we propose an improved beacon system, to which ultrasonic sensors are attached, for the indoor localization of mobile objects. We have researched so that it can cover the wider space and estimate more accurate positions than the existent beacon systems. The existent beacon systems have the constraint that one beacon cannot cover wide area since ultrasonic sensors have limits in the angle of signal (beam-angle) on which their signal strength depends. Hence, we used the active beacon which consists of a pan-tilt mechanism and a beacon module. The active beacon system can always aim at mobile objects in order to transmit the strongest signal of the ultrasonic sensors into the objects using the pan-tilt mechanism. In addition, this system is inexpensive because it can decrease the number of beacons by about a half of the beacons of the existent system. Finally, the results show what is the difference between the active beacon system and existent beacon systems, and how accurate it is.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.1012-1014
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• 2012

Integral imaging is considered as a next-generation 3D display which can display 3d imaging in space using lens array. The performance of integral imaging systems depends on several factors including display panel, lens array, imaging devices and so on. In this paper, we develop a unifying framework to evaluate the resolution of integral imaging systems under fixed resource constraints. The proposed framework enables one to optimize the system performance. To show the feasibility of the proposed method, we carry out Monte Carlo simulations based on this framework and present the results.

• Clinical and Experimental Pediatrics
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• v.65 no.5
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• pp.239-249
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• 2022

Cells survive and proliferate through complex interactions among diverse molecules across multiomics layers. Conventional experimental approaches for identifying these interactions have built a firm foundation for molecular biology, but their scalability is gradually becoming inadequate compared to the rapid accumulation of multiomics data measured by high-throughput technologies. Therefore, the need for data-driven computational modeling of interactions within cells has been highlighted in recent years. The complexity of multiomics interactions is primarily due to their nonlinearity. That is, their accurate modeling requires intricate conditional dependencies, synergies, or antagonisms between considered genes or proteins, which retard experimental validations. Artificial intelligence (AI) technologies, including deep learning models, are optimal choices for handling complex nonlinear relationships between features that are scalable and produce large amounts of data. Thus, they have great potential for modeling multiomics interactions. Although there exist many AI-driven models for computational biology applications, relatively few explicitly incorporate the prior knowledge within model architectures or training procedures. Such guidance of models by domain knowledge will greatly reduce the amount of data needed to train models and constrain their vast expressive powers to focus on the biologically relevant space. Therefore, it can enhance a model's interpretability, reduce spurious interactions, and prove its validity and utility. Thus, to facilitate further development of knowledge-guided AI technologies for the modeling of multiomics interactions, here we review representative bioinformatics applications of deep learning models for multiomics interactions developed to date by categorizing them by guidance mode.

• Educational Technology International
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• v.13 no.1
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• pp.1-25
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• 2012

Despite the relatively short history of Social Network Sites or Services (SNS), it has quickly gained popularity with more than seven hundred million users all over the globe. The SNS emerged as one of the strongest cultural influences for the contemporary society. The SNS would provide both chances and challenges for Education. The main purpose of the article was to explore the way education react and adapt to the emergence of social network and SNS. It tried to provide major theoretical grounds that bridge education and social network. In the due process, the researchers have examined the curriculum and instructional design process of education from the perspective of disruptive and sustainable aspect of SNS technology. Consequently, four major theoretical grounds were identified and reviewed: Gibson's theory of affordance, Vygotsky's social constructivism, Rha's human visual intelligence theory, and the network theory. By investigating these theories, the educational potentials of social network and SNS were emerged. The SNS was viewed as a new medium with abundant potentials of expanding the learning space, empowering the affective aspects of learning, and facilitating the formation of group intelligence. Finally, some future implications and challenges of SNS were suggested.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2004.05a
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• pp.184-187
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• 2004

'Digital' the most important keyword in the 21th century environment affects on our life whole and method, studying, working, playing and communicating. Also, digital make the range of products ambiguous through fusing and compounding products. It is becoming new subject how digital may ambiguous with human's life by this solution. So, basis proposition of study analyzes intelligence style furniture taking a view of making of furniture as long as it is by digital technology do essential intensive training of furniture and there is the purpose to suggest conception pattern of 'Digital Convergence Furniture' the future. In especial, analyze intelligence style furniture by investigating space and new tendency that appear on object according to accommodation formula of digital technology through case study it is present conception 'Digital Convergence Furniture'

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.579-583
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• 2001

In the area of data clustering in high dimensional space, one of the difficulties is the time-consuming process for computing vector similarities. It becomes worse in the case of the agglomerative algorithm with the group-average link and mean centroid method, because the cluster similarity must be recomputed whenever the cluster center moves after the merging step. As a solution of this problem, we present an incremental method of similarity computation, which substitutes the scalar calculation for the time-consuming calculation of vector similarity with several measures such as the squared distance, inner product, cosine, and minimum variance. Experimental results show that it makes clustering speed significantly fast for very high dimensional data.