• 한국실내디자인학회논문집
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• 제22권1호
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• pp.211-221
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• 2013

As the result of investigating domestic interior design (interior architecture) field-related laws, it was found that interior design (interior architecture) is not recognized as in independent area due to weak classification standards by Korean standard industrial classification and job classification. Korean standard industrial classification is applied as a standard setting limits to applicable targets and industrial fields for laws related to general administration and industrial policy other than various statistic purposes. Also, the standard industrial classifications regarding the industry field determines the laws or applicable tax rates, government support and such according to the classification, and thus is very important. Moreover, interior architecture field is largely different from general architecture due to specialization and distinct characteristics, but due to the comprehensive concept of architecture industry regulations, it is considered the proper assessment for the professionalism is not conducted. Also, interior architecture field has irrational contradictions that is not independent with a clear definition and industry field classification not only in legal system and trade customs. Therefore, The following is proposed as the plan to strengthen the domestic/international competitiveness and system improvements for interior architecture. (1)interior design (interior architecture) must be amended as an industrial classification that can coexist with architecture. (2)interior design (interior architecture) must be amended as a job classification that can coexist with architecture. (3)Among the design tasks of an architect, approval for the design task field of interior architecture field must be legislated. -In architect design standard contract (the existing architecture design task scope and quality standard table) of a structure, among the tasks by request of the owner, (1)interior design tasks shall be legislated. It should be legislated so that interior design (interior architecture) majors can be included as well. (4)The task field of interior design that coexists with design must be amended. (5)National contract law - among contract method by negotiation, specialty item must be vitalized.

• 화약ㆍ발파
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• 제24권1호
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• pp.63-69
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• 2006

터널굴착이나 사면절취 등과 같은 굴착문제에 있어서 굴착방법을 결정하기 위해 대상암반에 대한 리핑 암이나 발파암의 구분이 우선되며, 다음에 발파에 의한 굴착방법이 선정되었을지라도 화약량 및 종류, 천공방법 등 발파설계를 위해서 추가적으로 발파암에 대한 세부적인 분류가 필요하다. 일반적으로 RMR 이나 Q 시스템과 같은 암반분류법이 많이 사용되고 있지만, 발파암에 대한 표준적인 암반분류법이 없으며, 국내에서도 발파암 분류에 대한 연구가 거의 전무한 상태로 발파암의 분류요소로 사용될 수 있는 요소를 구하기 위한 연구가 필요하다, 본 논문에서는 앞으로 국내에서 발파암 분류연구에 대한 방향제시를 위해서 발파와 암석의 역학적 특성, 지질구조와 불연속면의 특성과의 관계나 굴착과 관련된 암반분류에 대한 여러 논문사례를 통하여 발파암의 분류 요소와 분류방법 등을 분석한다.

• 감성과학
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• 제26권4호
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• pp.3-14
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• 2023

최근 소셜미디어 이용이 심리적 웰빙에 미치는 영향이 부각되고 있으나 어떤 요소가 소셜미디어 상에서의 관계의 질을 예측할 수 있는지에 대한 연구는 상대적으로 드물다. 본 연구는 머신러닝 기법을 이용하여 COVID-19로 인한 자가격리 동안 인스타그램 활동과 외로움, 우울 등의 심리 상태가 소셜미디어 상에서의 관계의 질을 예측할 수 있는지 알아보고자 하였다. 성인 95명을 대상으로 자가격리 중과 자가격리 해제 후 시점에서 외로움, 인스타그램 활동, 소셜미디어 상에서의 관계, 우울 등에 대해 자기보고식 설문에 응답하도록 하였다. 그 후, 다차원 척도법과 표상유사성분석, 분류분석을 각 시점에 대해 수행하였다. 다차원척도법 결과, 1차원에서 인스타그램 이용 시간과 우울이 다른 변인들과 구별되었으며, 2차원에서 외로움과 수동적 이용이 다른 변인들과 구별되었다. 그 후 소셜미디어 상에서의 관계의 질의 고,저 집단에 대해 표상유사성분석을 실시한 결과, 소셜미디어 상에서의 관계의 질이 높은 집단은 낮은 집단보다 자가격리의 영향을 더 많이 받는 것으로 나타났다. 분류분석 결과에서도 소셜미디어 상에서의 관계의 질 예측 변인이 사회적 고립의 여부에 따라 달라지는 것으로 나타났다. 따라서 본 연구의 결과는 사람들이 사회적 고립 상황에 있지 않을 때 인스타그램 이용 변인과 심리적 변인이 소셜미디어 상에서의 관계를 더 잘 예측할 수 있음을 시사한다.

• 대한의용생체공학회:의공학회지
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• 제42권3호
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• pp.80-85
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• 2021

We developed a model to classify the absence of cervical cancer using deep learning from the cervical image to which the histogram equalization algorithm was applied, and to compare the performance of each model. A total of 4259 images were used for this study, of which 1852 images were normal and 2407 were abnormal. And this paper applied Image Sharpening(IS), Histogram Equalization(HE), and Contrast Limited Adaptive Histogram Equalization(CLAHE) to the original image. Peak Signal-to-Noise Ratio(PSNR) and Structural Similarity index for Measuring image quality(SSIM) were used to assess the quality of images objectively. As a result of assessment, IS showed 81.75dB of PSNR and 0.96 of SSIM, showing the best image quality. CLAHE and HE showed the PSNR of 62.67dB and 62.60dB respectively, while SSIM of CLAHE was shown as 0.86, which is closer to 1 than HE of 0.75. Using ResNet-50 model with transfer learning, digital image-processed images are classified into normal and abnormal each. In conclusion, the classification accuracy of each model is as follows. 90.77% for IS, which shows the highest, 90.26% for CLAHE and 87.60% for HE. As this study shows, applying proper digital image processing which is for cervical images to Computer Aided Diagnosis(CAD) can help both screening and diagnosing.

• 품질경영학회지
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• 제50권1호
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• pp.77-89
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• 2022

Purpose: In order to improve the audit quality of a company, an in-depth analysis is required to categorize the audit report in the form of a text document containing the details of the external audit. This study introduces a systematic methodology to extract keywords for each group that determines the differences between groups such as 'audit plan' and 'interim audit' using audit reports collected in the form of text documents. Methods: The first step of the proposed methodology is to preprocess the document through text mining. In the second step, the documents are classified into groups using machine learning techniques and based on this, important vocabularies that have a dominant influence on the performance of classification are extracted. In the third step, the association rules for each group's documents are found. In the last step, the final keywords for each group representing the characteristics of each group are extracted by comparing the important vocabulary for classification with the important vocabulary representing the association rules of each group. Results: This study quantitatively calculates the importance value of the vocabulary used in the audit report based on machine learning rather than the qualitative research method such as the existing literature search, expert evaluation, and Delphi technique. From the case study of this study, it was found that the extracted keywords describe the characteristics of each group well. Conclusion: This study is meaningful in that it has laid the foundation for quantitatively conducting follow-up studies related to key vocabulary in each stage of auditing.

• 한국대기환경학회지
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• 제18권1호
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• pp.25-37
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• 2002

The purpose of the study was to survey the distribution patterns of inorganic elements of PM-10 in the various indoor environments and analyze the pollution patterns of aerosol in various places of indoor environment using a pattern recognition method based on cluster analysis and disjoint principal component analysis. A total of 40 samples in the indoor had been collected using mini-vol portable samplers. These samples were analyzed for their 19 bulk inorganic compounds such as B, Na, Mg, Al, K, Ca, Ti, V, Cr, Fe, Ni, Cu, Zn, As, Se, Cd, Ba, Ce, and Pb by using an ICP-MS. By applying a disjoint principal component analysis, four patterns of the indoor air pollutions were distinguished. The first pattern was identified as a group with high concentrations of PM-10, Na, Mg, and Ca. The second pattern was identified as a group with high concentrations B, Mg, At, Ca, Fe, Cu, and Ba. The third pattern was a group of sites with high concentrations of K, Zn. Cd. The fourth pattern was a group with low concentrations PM-10 and all inorganic elements. This methodology was found to be helpful enough to set the criteria standard of indoor air quality, corresponding pollutants, and classification of indoor environment categories when making an indoor air quality law.

• 한국의료질향상학회지
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• 제23권2호
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• pp.69-78
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• 2017

Background: The purpose of this study was to examine associations between classification of the Geriatric Screening for Care-10 (GSC-10) and the Morse Fall Scale (MFS) among elderly inpatients. Methods: Among elderly inpatients aged over 65 admitted to hospital (from November 1, 2016 to July 31, 2017), the data for 5,780 patients (who were evaluated using the Morse Fall Scale and the Geriatric Screening for Care-10) were analyzed using x2-tests and t-tests to examine differences between the GSC-10 and MFS, according to general characteristics of elderly inpatients (i.e., gender) using IBM SPSS Statistics 24. Results: : Scores for the GSC-10 were significantly higher in women than men for depression (p<.001), delirium (p=.048), functional decline (p<.001), incontinence (p<.001), and pain (p<.001). Statistically significant differences in all domains of the GSC-10 for elderly hospitalized patients were found for the classification of fall risk. Conclusion: The findings of this study, as supported by the GSC-10, indicate that the most common problems experienced by the elderly are related to the risk of falling. In order to reduce the incidence of falls in elderly inpatients, customized fall prevention based on the GSC-10 results is necessary.

• 환경영향평가
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• 제22권3호
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• pp.195-201
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• 2013

Local governments are establishing their own greenhouse gas reduction goal and are playing a important role to respond to climatic changes. However, there are difficulties in quantitative analyses such as estimation of future greenhouse gas emission and computation of reduction potential, which are procedures required to establish mid to long term strategies to realize of low carbon society by each local governments. Also, reduction measures must reflect characteristics of each local government, since the reduction power of each local government can differ according to characteristics of each. In order to establish strategies that reflect characteristics of local governments, types of greenhouse gas emission from cities were classified largely into residential city, commercial city, residential commercial city, agriculture and fishery city, convergence city, and industrial city. As a result of analyzing basic unit of greenhouse gas emission by local government during 2007 in terms of per population, household and GRDP based on the type classification, significant results were deduced for each type. To manage the amount of the national greenhouse gas, reduction measures should be focused on the local governments that emits more than the average of each type's GHG emission.

• 한국농공학회지
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• 제45권4호
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• pp.66-77
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• 2003

Monitoring data from agricultural reservoirs throughout the country were analyzed to classify agricultural reservoirs according to physical characteristics and COD concentrations, and evaluate the relationships bet-ween water quality items. The physical and chemical data of total 498 reservoirs were analyzed from 1990 to 2001. Average COD, TP, TN, Chl-a, SS concentrations for the reservoirs and pollutant loadings from their watersheds were used for the analysis. It was possible that reservoirs were classified to 4 types using the relationships between the ratios of effective storage per water surface (ST/WS ratio) and COD concentrations. It is recommended that the improvement measures of polluted reservoirs should be performed as following order : integrated consolidation type (complex mechanism type) $\rightarrow$ watershed consolidation type $\rightarrow$ integrated consolidation type (external mechanism type) $\rightarrow$ in-lake consolidation type $\rightarrow$ conservation type and the depth (ST/WS ratio) of reservoir maintained over 5~6 m for water quality improvement. The decision coefficients ($r^2$) between Chl-a and other items (COD, T-P, SS, T-N) were 0.6915, 0.6732, 0.5327, 0.3352, respectively. Therefore, reservoir managers could evaluate the trophic state of reservoirs by COD concentrations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권1호
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• pp.257-271
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• 2016

The Structural SIMilarity (SSIM) index is one of the most widely-used methods for perceptual image quality assessment (IQA). It is based on the principle that the human visual system (HVS) is sensitive to the overall structure of an image. However, it has been reported that indices predicted by SSIM tend to be biased depending on the type of distortion, which increases the deviation from the main regression curve. Consequently, SSIM can result in serious performance degradation. In this study, we investigate the aforementioned phenomenon from a new perspective and review a constant that plays a big role within the SSIM metric but has been overlooked thus far. Through an experimental study on the influence of this constant in evaluating images with SSIM, we are able to propose a new solution that resolves this issue. In the proposed IQA method, we first design a system to classify different types of distortion, and then match an optimal constant to each type. In addition, we supplement the proposed method by adding color perception-based structural information. For a comprehensive assessment, we compare the proposed method with 15 existing IQA methods. The experimental results show that the proposed method is more consistent with the HVS than the other methods.