• Therapeutic Science for Rehabilitation
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• v.11 no.2
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• pp.7-24
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• 2022

Objective : To develop standardized assessment tools that evaluate the multi-aspect lifestyles of children and adolescents, we aimed to systematically analyze lifestyle assessment tools and lifestyle component-specific assessment tools. Methods : The study period was 2001-2020, with search engines using CINANL, NDSL, PubMed, and RISS. Search key words used 'lifestyle assessment' OR 'lifestyle profile' OR 'lifestyle test', 'physical activity assessment' OR 'physical activity participation profile', 'nutrition assessment' OR 'nutrition profile', 'activity participation assessment' OR 'activity participation profile'. Results : A total of 24 evaluation tools were selected after 5,883 studies reviewed the title, abstract, and full text after deduplication. The detailed results resulted in five lifestyle assessment tools, seven physical activity assessment tools, nine nutrition assessment tools, and three activity participation assessment tools. Conclusion : For the lifestyle assessment tools for children and adolescents, the component items, measurement methods, and age of assessment of each item were analyzed. It is hoped that this will be used as a basis for the development of standardized assessment tools to assess the multi-aspect lifestyles of children and adolescents in the future.

• Therapeutic Science for Rehabilitation
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• v.11 no.4
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• pp.41-53
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• 2022

Objective : The purpose of this study is to identify and analyze the vocational rehabilitation evaluation tool for the mentally disabled. Methods : For literature search, the Pubmed database was used, and for the analysis, the development year, evaluation method, number of items, scale, and evaluation items were analyzed. In the analysis method, each evaluation item was divided into four categories: function, internal factor, environment, and mental symptom, and the evaluation elements of each evaluation tool were identified. Results : When searching Pubmed through search terms, 161 documents were retrieved. According to the selection method, Griffiths Work Behavior Scale (GWBS), Occupational Functioning Scale (OFS), Social and Occupational Functioning Assessment Scale (SOFAS), Work Ability Index (WAI), Work Behavior Inventory (WBI), Work Environment Impact Scale (WEIS), and Work and Social Adjustment Scale (WSAS) were screened. The evaluation items of all evaluation tools included job-related functional evaluation. According to the purpose of each evaluation tool, internal factors, environment, and mental symptoms were measured. Conclusion : Occupational skills are skills in which various functions such as physical, cognitive, social skills, and coping skills act in a complex way. Therefore, it is necessary to include the four factors analyzed in this study: function, internal factors, environment, and psychiatric symptoms.

• Journal of the Korean Society of Radiology
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• v.16 no.6
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• pp.719-725
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• 2022

This study aimed to measure, quantitatively evaluate, and set the criteria for the minimum lead(Pb) shield thickness per level of clinically applied electron beam energy. The lead shield thickness per electron beam energy was measured using the primary field 95% reduction based on the open field at the depth of maximum dose (d_max) and depth from the surface as the reference depth of tissue dose(10 mm). The measured values were 1.906 mmPb and 1.992 mmPb at the d_max and 10 mm, respectively, regarding the lead shield thickness for 6 MeV electron beam; 2.746 mmPb and 3.743 mmPb for 9 MeV electron beam, 3.718 mmPb and 6.093 mmPb for 12 MeV electron beam, 7.300 mmPb and 15.270 mmPb for 16 MeV electron beam, and 16.825 mmPb and 25.090 mmPb for 20 MeV electron beam. Consequently, a thicker lead shield was required if the measurement was at 10 mm. The required lead shield thickness was also higher than that of the theoretical formula for electron beams of ≥ 16 MeV.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.171-177
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• 2022

In this paper, we propose a service method that can provide insight into multi-source agricultural data, way to cluster environmental factor which supports data analysis according to time flow, and curate crop environmental factors. The proposed curation service consists of four steps: collection, preprocessing, storage, and analysis. First, in the collection step, the service system collects and organizes multi-source agricultural data by using an OpenAPI-based web crawler. Second, in the preprocessing step, the system performs data smoothing to reduce the data measurement errors. Here, we adopt the smoothing method for each type of facility in consideration of the error rate according to facility characteristics such as greenhouses and open fields. Third, in the storage step, an agricultural data integration schema and Hadoop HDFS-based storage structure are proposed for large-scale agricultural data. Finally, in the analysis step, the service system performs DTW-based time series classification in consideration of the characteristics of agricultural digital data. Through the DTW-based classification, the accuracy of prediction results is improved by reflecting the characteristics of time series data without any loss. As a future work, we plan to implement the proposed service method and apply it to the smart farm greenhouse for testing and verification.

• Journal of International Area Studies (JIAS)
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• v.14 no.3
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• pp.135-156
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• 2010

While there are a few ways of giving meanings to the term, "Altai" ranging from a language family to a national residing around the Altai Mountains in Russian Federation, and to the people speaking the language or the whole area where they live, there have been controversial debates whether it is a meaningful categorization. This paper argues that the basic cause lying beneath the controversies is the underdevelopment of the subject that identifies itself as a representative of the whole area where the Altaic language family is spoken. It might be true, as some Korean and Russian scholars insist, that what deserves to be called Altaic culture (or civilization) has provided a common culture and mutual interactions with the people. However, the Altaic people failed to constitute themselves as a meaningful modern group, that is a nation, and they did not fully develop national consciousness, As a result, although their way of life may be regarded as an origin of various cultures across North-East Asia, Altaic culture is not sufficient to give a momentum to claim for cultural initiative in the region. This comes at least partly from the reconfiguration of ethnic identity through a Soviet type of modernization and its geopolitical situation surrounded by super-powers such as China and Russia, as well as belated import of religions such as Buddhism and Christianity. From a wide perspective, the trouble about delimiting an area is not unique in Altai, but universally found in anywhere, as far as area studies are concerned. The delimitation of an area is not a natural outcome of physical environment but an artificial production of how cultural-political relationships have been distributed. Therefore, while the case of Alai has its own specificities, its implications that a national or regional boundary in area studies should not be taken for granted may be applied to other areas.

• Journal of Species Research
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• v.12 no.1
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• pp.68-89
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• 2023

This is the second catalog listing unrecorded invertebrates discovered during the research project 'Discovery of Korean Indigenous Species'. The data to compile the catalog were primarily gathered from the final reports of the project, between 2013 and 2021. We present 38 previously undocumented species, belonging to four phyla (Platyhelminthes, Annelida, Rotifera and Arthropoda). Samples were collected from intertidal coastal waters, soil, freshwater ponds, reservoirs and hosts in South Korea. In this study, we provide brief taxonomic information, including collection site (GPS), diagnosis, specimen vouchers, figures of representative individuals and the Korean name newly assigned, for each species. All data were reviewed and updated by experts working on the respective taxonomic group. The aim of the present study is to publish species that have been previously reported through the project. Upon publication, these species will be added to the 'National Species List of Korea', curated by the National Institute of Biological Resources(NIBR).

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.1
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• pp.51-66
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• 2022

SST (Sea Surface Temperature) is based on the atmosphere-ocean interaction, one of the most important mechanisms for the Earth system. Because it is a crucial oceanic and meteorological factor for understanding climate change, gap-free grid data at a specific spatial and temporal resolution is beneficial in SST studies. This paper examined the production of daily SST grid maps from 137 stations in 2020 through the ordinary kriging with variogram optimization and their accuracy assessment. The variogram optimization was achieved by WLS (Weighted Least Squares) method, and the blind tests for the interpolation accuracy assessment were conducted by an objective and spatially unbiased sampling scheme. The four-round blind tests showed a pretty high accuracy: a root mean square error between 0.995 and 1.035℃ and a correlation coefficient between 0.981 and 0.982. In terms of season, the accuracy in summer was a bit lower, presumably because of the abrupt change in SST affected by the typhoon. The accuracy was better in the far seas than in the near seas. West Sea showed better accuracy than East or South Sea. It is because the semi-enclosed sea in the near seas can have different physical characteristics. The seasonal and regional factors should be considered for accuracy improvement in future work, and the improved SST can be a member of the SST ensemble around South Korea.

• Korean Journal of Remote Sensing
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• v.39 no.2
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• pp.157-168
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• 2023

Image segmentation and supervised classification techniques are widely used to monitor the ground surface using high-resolution remote sensing images. In order to classify various objects, a process of defining a class corresponding to each object and selecting samples belonging to each class is required. Existing methods for extracting class samples should select a sufficient number of samples having similar intensity characteristics for each class. This process depends on the user's visual identification and takes a lot of time. Representative samples of the class extracted are likely to vary depending on the user, and as a result, the classification performance is greatly affected by the class sample extraction result. In this study, we propose an image classification technique that minimizes user intervention when extracting class samples by applying the histogram back-projection technique and has consistent intensity characteristics of samples belonging to classes. The proposed classification technique using histogram back-projection showed improved classification accuracy in both the experiment using hue subchannels of the hue saturation value transformed image from Compact Advanced Satellite 500-1 imagery and the experiment using the original image compared to the technique that did not use histogram back-projection.

• Korean Journal of Remote Sensing
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• v.39 no.2
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• pp.223-232
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• 2023

A widely used method for monitoring land cover using high-resolution satellite images is to classify the images based on the colors of the objects of interest. In urban areas, not only major objects such as buildings and roads but also vegetation such as trees frequently appear in high-resolution satellite images. However, the colors of vegetation objects often resemble those of other objects such as buildings, roads, and shadows, making it difficult to accurately classify objects based solely on color information. In this study, we propose a method that can accurately classify not only objects with various colors such as buildings but also vegetation objects. The proposed method uses the normalized difference vegetation index (NDVI) image, which is useful for detecting vegetation objects, along with the RGB image and classifies objects into subclasses. The subclass classification results are fused, and the final classification result is generated by combining them with the image segmentation results. In experiments using Compact Advanced Satellite 500-1 imagery, the proposed method, which applies the NDVI and subclass classification together, showed an overall accuracy of 87.42%, while the overall accuracy of the subchannel classification technique without using the NDVI and the subclass classification technique alone were 73.18% and 81.79%, respectively.

• Journal of the Korean Society of Radiology
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• v.17 no.7
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• pp.1157-1164
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• 2023

This study measures the additional dose for each treatment area using kV X-ray based OBI (On-Board Imager) and CBCT (Cone-Beam CT), which have excellent spatial resolution and contrast, and evaluates the adequacy and stability of radiation management aspects of IGRT. The subjects of the experiment were examined with OBI and CBCT attached to a linear accelerator (Clinac IX), and ring-shaped Halcyon CBCT under imaging conditions for each treatment area, and the dose at the center was measured using an ion chamber. OBI single fraction dose was measured as 0.77 mGy in the head area, 3.04 mGy in the chest area, and 7.19 mGy in the pelvic area. The absorbed doses from the two devices, Clinac IX CBCT and Halcyon CBCT, were measured to be similar in the pelvic area, at 70.04 mGy and 70.45 mGy. and in chest CBCT, the Clinac IX absorbed dose (70.05 mGy) was higher than the Halcyon absorbed dose (21.01 mGy). The absorbed dose to the head area was also higher than that of Clinac IX (9.08 mGy) and Halcyon (5.44 mGy). In kV X-ray-based IGRT, additional radiation exposure due to photoelectric absorption may affect the overall volume of the treatment area, and caution is required.