• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.7
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• pp.109-117
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• 2019

Recently, child safety map making education has attracted attention as a way to reduce crimes against children. In Korea, the Ministry of Gender Equality and Family organized a child safety map making education program in 2011. The program's manual was revised in 2013 and the Ministry implemented it as a project to promote the rights of women and children. Child safety map making education aims to raise a child's understanding of their neighborhood, to have voluntary control and normal consciousness as a local inhabitant, to be aware of wrong behavior and crime, and to be part of creating a safe urban environment. However, when compared to educational programs in other major developed countries, the child safety map making education program in Korea currently does not improve a child's awareness of their surroundings. In this workshop study, we proposed and ran a new program to improve children's awareness of their environment based on the active participation of children in the existing safety map educational program. The workshop was held for 4 weeks for 48 students from 5th and 6th grade at Osan Daeho Elementary School. We analyzed this new program's effects with the following results. First, an analysis of the effects of the program on children's recognition of safe and dangerous spaces revealed that their understanding of these spaces increased by 30.4% after the workshop. The safety-related factor in the mind map key concept increased from 0.94 to 4.94, indicating that the children's perception of neighborhood risk and safety factors improved. Second, the analysis of the effects of the program on the children's coping ability in dangerous situations showed that their understanding of how to deal with dangerous situations increased by 11.3%. The children's understanding of facilities they could ask for help, such as police boxes and child safety guard houses, improved by 17.9%. Third, analysis of the effects of child safety map making education on children's understanding of their neighborhood, their perception of responsibility in the neighborhood, and their neighborhood attachment showed that these levels of children's understanding of the neighborhood improved by 6.0% after the workshop.

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.273-282
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• 2017

This paper is aimed at proposing a new approach to connecting the measurements of customer satisfaction on healthcare services with the prioritized identification of healthcare service processes to be improved. As customers' requirements for healthcare services have become too diverse and healthcare service systems have been increasingly complex, there has been growing interest in the customer-oriented evaluation of healthcare service quality and the systematic improvement of healthcare service processes. Most of the previous studies on service quality evaluation are based on SERVQUAL model. However, because of the unique characteristics and constraints inherent in healthcare service systems, it has been reported that SERVQUAL would be inadequate to be applied to healthcare service systems. As an alternative, SERVPERF has recently been widely used in the evaluation of healthcare service quality. However, there is a lack of studies on how to use the measurements of healthcare service quality systematically to improve service functions and processes. With this issue in mind, we firstly measured the customer-perceived satisfaction on the healthcare service quality from the six dimensions based on SERVPERF. Then we identified the relationships between the subjective measurements and healthcare service processes through brainstorming and expert interview. By using the relationships, we developed a customer journey map in healthcare services that visually describe the interaction between customers and healthcare service systems. The developed customer journey map would help service designers easily identify a healthcare service process that needs to be improved with priority. It is expected that the design improvement process proposed in this study would be a useful method for enhancing the quality of healthcare services.

• Applied Microscopy
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• v.46 no.4
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• pp.184-187
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• 2016

Neuronal connectivity determines brain function. Therefore, understanding the full map of brain connectivity with functional annotations is one of the most desirable but challenging tasks in science. Current methods to achieve this goal are limited by the resolution of imaging tools and the field of view. Macroscale imaging tools (e.g., magnetic resonance imaging, diffusion tensor images, and positron emission tomography) are suitable for large-volume analysis, and the resolution of these methodologies is being improved by developing hardware and software systems. Microscale tools (e.g., serial electron microscopy and array tomography), on the other hand, are evolving to efficiently stack small volumes to expand the dimension of analysis. The advent of mesoscale tools (e.g., tissue clearing and single plane ilumination microscopy super-resolution imaging) has greatly contributed to filling in the gaps between macroscale and microscale data. To achieve anatomical maps with gene expression and neural connection tags as multimodal information hubs, much work on information analysis and processing is yet required. Once images are obtained, digitized, and cumulated, these large amounts of information should be analyzed with information processing tools. With this in mind, post-imaging processing with the aid of many advanced information processing tools (e.g., artificial intelligence-based image processing) is set to explode in the near future, and with that, anatomic problems will be transformed into informatics problems.

• Journal of Biomedical Engineering Research
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• v.33 no.1
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• pp.15-24
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• 2012

Classification of human thought is an emerging research field that may allow us to understand human brain functions and further develop advanced brain-computer interface (BCI) systems. In the present study, we introduce a new approach to classify various mental states from noninvasive electrophysiological recordings of human brain activity. We utilized the full spatial and spectral information contained in the electroencephalography (EEG) signals recorded while a subject is performing a specific mental task. For this, the EEG data were converted into a 2D spatiospectral pattern map, of which each element was filled with 1, 0, and -1 reflecting the degrees of event-related synchronization (ERS) and event-related desynchronization (ERD). We evaluated the similarity between a current (input) 2D pattern map and the template pattern maps (database), by taking the inner-product of pattern matrices. Then, the current 2D pattern map was assigned to a class that demonstrated the highest similarity value. For the verification of our approach, eight participants took part in the present study; their EEG data were recorded while they performed four different cognitive imagery tasks. Consistent ERS/ERD patterns were observed more frequently between trials in the same class than those in different classes, indicating that these spatiospectral pattern maps could be used to classify different mental states. The classification accuracy was evaluated for each participant from both the proposed approach and a conventional mental state classification method based on the inter-hemispheric spectral power asymmetry, using the leave-one-out cross-validation (LOOCV). An average accuracy of 68.13% (${\pm}9.64%$) was attained for the proposed method; whereas an average accuracy of 57% (${\pm}5.68%$) was attained for the conventional method (significance was assessed by the one-tail paired $t$-test, $p$ < 0.01), showing that the proposed simple classification approach might be one of the promising methods in discriminating various mental states.

• Proceedings of the Botanical Society of Korea Conference
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• 1995.07a
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• pp.57-86
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• 1995

Molecular mapping of plant genomes has progressed rapidly since Bostein et al.(1980) introduced the idea of constructing linkage maps of human genome based on restriction fragment length polymorphism (RFLP) markers. In recent years, the development of protein and DNA markers has stimulated interest for the new approaches to plant improvement. While classical maps based on morphological mutant markers have provided important insights into the plant genetics and cytology, the molecular maps based on molecular markers have a number of inherent advatages over classical genetic maps for the applications in genetic studies and/or breeding schemes. Isozymes and DNA markers are numerous, discrete, non-deleterious, codominant, and almost entirely free of environmental and epistatic interactions. For these reasons, they are widely used in constructing detailed linkage maps in a number of plant species. Plant breeders improve crops by selecting plants with desirable phenotypes. However a plant's phenotyes is often under genetic control, positioning at different "quantitative trait loci" (QTLs) together with environmental effects. Molecular maps provide a possible way to determine the effect of the individual gene that combines to produce a quantitative trait because the segregation of a large number of markers can be followed in a single genetic cross. Using market-assisted selection, plants that contain several favorable genes for the trait and do not contain unfavourable segments can be obtained during early breeding processes. Providing molecular maps are available, valuable data relevant to the taxonomic relationships and chromosome evolution can be accumulated by comparative mapping and also the structural relationships between linkage map and physical map can be identified by cDNA sequencing. After constructing high density maps, it will be possible to clone genes, whose products are unknown, such as semidwarf and disease resistance genes. However, much attention has to be paid to level-up the basic knowledge of genetics, physiology, biochemistry, plant pathology, entomology, microbiology, and so on. It must also be kept in mind that scientists in various fields will have to make another take off by intensive cooperation together for early integration and utilization of these newly emerging high-techs in practical breeding. breeding.

• KIEAE Journal
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• v.8 no.3
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• pp.37-42
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• 2008

The purpose of this study was to comprehend specific characteristic of interface and present the standardized interface of Long Life Housing, which could be obtained by the total and various approaches. With this in mind we analyzed related studies of interface through previous studies, and based on the analysis we created standardized factors of categorization in view of characteristic of interface. Using these factors, we can determine whether the interface could be used systematically in Long Life Housing. And as these were presented in the form of Key Map for expedite the synthetic understanding of interface, we could easily reconize types of interface. Especially, we only dealt the wall of flexible interface of Long Life Housing. Throughout systemizing and standardizing works, we can expedite the understanding of interface of Long Life Housing and finally, we want to make basic data used for date base of interface which can be available for Long Life Housing.

• Journal of Information Technology Applications and Management
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• v.15 no.3
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• pp.43-59
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• 2008

This paper studies small and medium sized financial agency's management states that take advantage of the Korea Federation of Saving Bank's data. It also presents the management state and the decision-making model that monitors progressive insolvency by standardizing transfer path between relevant groups. With this in mind, we extracted explanatory variables for predictions of insolvency by using existing studies of document related insolvency. First of all, we designed a state model based on demarcated groups to take advantage of the self organizing map that groups in line with a neural network. Secondly, we developed a transition model by standardizing the transfer path between individual banks in a state model. Finally, we presented a decision-making model that integrated the state model and the transition model. This paper will provide groundwork for methods of insolvency prevention to businesses in order for them to have a smooth management system in the financial agencies.

• Journal of the Korean School Mathematics Society
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• v.5 no.1
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• pp.21-32
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• 2002

The purpose of this research is to invent the method which improve the problem - solution power in mathematics, making learning materials for it and apply it to the inactive 1st grade high school students. The results of this reaserch are as follows. 1. Through this 4 phased team teaching, the atmosphere of learning is positive and learning activities are voluntary and the attitude to the mathematics is improved. 2. The harmony of team studying for a problem solution, problem understanding, flowchart drawing and mind map studying enabled students to have confidence of learning, leading to improve the ability of mathematics.

• Hwankyungkyoyuk
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• v.25 no.2
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• pp.254-271
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• 2012

The purpose of this study was to analyze water words written by college students in order to investigate their cognition by using 'contents of water education for sustainable development'. For this study, researchers applied qualitative analysis methods such as a mind map and a water word association test, as well as quantitative analysis methods including a water common sense quiz and a survey of water cognition. The results of this study were as follows; First, college students were rarely interested in water, since the score of a water common sense quiz was quite low; water cognition that college students felt in their daily life was also deficient. Second, college student data shows that while they had specific water cognition, they did not have integrated view of water. Therefore, the study on water cognition of balanced views related to water should be carried out through developing and appling a interdisciplinary subject.

• The Journal of Sustainable Design and Educational Environment Research
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• v.11 no.2
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• pp.1-8
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• 2012

Due to the fact that there are low birth rate and longer life longevity, schools have been shutting down and converted into welfare facilities. However, most of researches about utilizing closed down school are focused on case researches or architectural planning and design. Moreover, majority of existing welfare centers for the aged are not designed with the flow of human traffic in mind, which means there is no consideration of physical or psychological characteristics of elderly people. That fact leads to increasing number of shutting down welfare facilities. Therefore, this thesis will present the necessity of effective space allocation, extension and reconstruction for residents in aged care by analyzing space using index of space syntax with depth-map software.