• Journal of the Korean Society for Precision Engineering
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• v.29 no.9
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• pp.964-970
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• 2012

Various eco-design tools have been developed which can be classified into quantitative, semi-quantitative, and qualitative tools. Practitioners are reluctant to utilize quantitative tools in light of their time-demanding nature. Among the qualitative tools, checklists are simple tools that allow a quick and effective evaluation and consideration of environmental impacts over the entire life cycle of a product. A profound and better understanding of eco-design checklists is needed so that practitioners can apply them appropriately to their product development context. Various types of eco-design checklists are analyzed in the present study based on their attributes and classified in a structured way for their efficient utilization in product development contexts.

• Journal of radiological science and technology
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• v.36 no.2
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• pp.149-155
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• 2013

The Korean Thyroid Association recommends fine-needle aspiration biopsy (FNAB) for nodules more than 0.5 cm in diameter. But nodules, smaller than 0.5 cm have been found in papillary carcinomas of the thyroid (PTC) at the health promotion center at SMC. We wanted to evaluate the ultrasonographic findings according to size of nodule in proven PTCs by FNAB, especially less than 0.5 cm. All nodules were classified into three groups by their longest diameter : less than 0.5 cm, more than 0.5 cm but less than 1 cm, and more than 1 cm. Sonographic findings suggesting malignancy were analyzed according to their size groups. Of 288 malignant nodules, 21.5 % (62/288) were less than 0.5 cm, 54.9 % (158/288) were more than 0.5 cm but less than 1 cm, 23.6 % (68/288) exceeded 1 cm. A taller-than-wide shape was observed in 90.3 % (56/62) of nodules less than 0.5 cm, and 48.5 % (33/68) of nodules exceeding 1 cm (p<0.001). There were no well-defined smooth nodules among nodules less than 0.5 cm, and spiculated or irregular margin nodules increased as the size increased (p=0.024). Nodules of size less than 0.5 cm did not showed hyper or isoechogenicity. Hypoechogenicity was greater than the marked hypoechogenicity in each group (p=0.034). Micro- or macro-calcifications were not founded in 77.4 % (48/62) of the nodule group sized less than 0.5 cm. From the small size of the group, micro- or macrocalcifications were observed 21.0 % (13/62), 48.1 % (76/158), 64.7 % (44/68), so the number of nodules containing micro- or macro-calcification increased as size increased (p<0.001). PTCs less than 0.5 cm in size on ultrasonography had taller than-wide shape, spiculated or irregular and ill-defined margins, and exhibited hypo and markedly hypoechogenicity, but microor macro-calcifications were not common. These ultrasonographic features of nodules less than 0.5 cm can be useful in reporting and guiding FNABs or follow-up exams.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.95-118
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• 2021

As the AI speaker business has risen significantly in recent years, the potential for numerous uses of AI speakers has gotten a lot of attention. Consumers have created an environment in which they can express and share their experiences with products through various channels, resulting in a large number of reviews that leave consumers with a variety of candid opinions about their experiences, which can be said to be very useful in analyzing consumers' thoughts. Using this review data, this study aimed to examine the factors driving the continued use of AI speakers. Above all, it was determined whether the seven characteristics associated with the intention to adopt AI identified in prior studies appear in consumer reviews. Based on customer review data on Amazon.com, text mining and social network analysis were utilized to examine Amazon eco-products. CONCOR analysis was used to classify words with similar connectivity locations, and Connection centrality analysis was used to classify the factors influencing the continuous use of AI speakers, focusing on the connectivity between words derived by classifying review data into positive and negative reviews. Consumers regarded personality and closeness as the most essential characteristics impacting the continued usage of AI speakers as a result of the favorable review survey. These two parameters had a strong correlation with other variables, and connectedness, in addition to the components established from prior studies, was a significant factor. Furthermore, additional negative review research revealed that recognition failures and compatibility are important problems that deter consumers from utilizing AI speakers. This study will give specific solutions for consumers to continue to utilize Amazon eco products based on the findings of the research.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.3
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• pp.1-9
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• 2021

In this study, we evaluated the accuracy of deep learning-based tree species classification model trained by using high-resolution images. We selected five species classed, i.e., pine, birch, larch, korean pine, mongolian oak for classification. We created 5,000 datasets using high-resolution orthophoto and forest type map. CNN deep learning model is used to tree species classification. We divided training data, verification data, and test data by a 5:3:2 ratio of the datasets and used it for the learning and evaluation of the model. The overall accuracy of the model was 89%. The accuracy of each species were pine 95%, birch 89%, larch 80%, korean pine 86% and mongolian oak 98%.

• Journal of Veterinary Clinics
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• v.29 no.2
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• pp.134-140
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• 2012

This retrospective study was performed to describe and evaluate ultrasonographic characteristics of splenic disorders and to pursue any relationship with cytologic or histopathologic diagnoses. Medical records were reviewed for patients that had undergone both abdominal ultrasonographic procedures and ultrasound-guided fine-needle aspiration (FNA) or surgical biopsy of splenic lesions or necropsy from January 2002 to July 2011 at Seoul National University Hospital for Animals. Total 124 dogs, 76 cases with FNA and 48 cases with biopsy, were available for this investigation. The age of dogs ranged from 2 to 17 years ($mean{\pm}SD$ = $9.54{\pm}3.34$ years), with the gender distribution of 61 females (26 spayed) and 63 males (40 neutered). In breed distribution, 114 were purebred dogs and 10 were mixed breed dogs. The dogs represented 26 breeds, with 113 dogs categorized into small-sized breeds. The ultrasonographic appearances of splenic disorders could be classified into 10 types including normal appearance, depending on the distribution and echogenicity of splenic lesions as well as the increase in spleen size and diffuse parenchymal changes. Among 124 cases, 44 (35.4%) had hypoechoic nodules/masses with the highest frequency, followed by 23 (18.5%) with multiple small hypoechoic nodules. Of 124 cases, 70 (56.5%) were benign and 54 (43.5%) were malignant lesions at cytologic or histopathologic results. Each ultrasonographic appearance had variable cytologic or histopathologic diagnoses. However, diffuse heterogenicity and diffuse hypoechogenicity were significantly associated with malignancy (p < 0.05), whereas hyperechoic nodules/masses were more often associated with benignity (p < 0.05). Based on our results, it may be considered that the ultrasonographic examination for spleen could be able to provide the least information necessary for benign and malignant lesions in prioritizing differential diagnoses.

• Journal of radiological science and technology
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• v.26 no.3
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• pp.19-24
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• 2003

We carried out studies on development and characteristic of ultrasound brast training biopsy phantom. the major finding were of follow ; (1) C type TMM was shown good homogeneity, brightness and attenuation as like human soft tissue. (2) $TiO_2$ 4.10%w/v TMM was shown good homogeneous echo texture and propagated speed as like the human Tissue. (3) $TiO_2$ type TMM was appeared lower brightness and higher penetration rate than C type TMM. Therefor, Breast TM phantom and target material TMM will be useful $TiO_2$ 4.10 %w/v TMM and C 2.09 %w/v TMM.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.44-44
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• 2022

본 연구는 산림 생물다양성 특정 지역인 풍혈지 25개소를 대상으로 기후변화에 취약한 북방계식물 등의 현지내·외 보전 대책 수립과 풍혈지의 산림유전자원보호지역 지정을 위한 기초자료로 활용하기 위하여 조사를 수행하였다. 조사는 풍혈의 바람이 나오는 핵심지역 10m 를 중심으로 동서남북으로 각각 50m 범위에서 실시하였고, 2016년 4월부터 2021년 11월까지 계절별로 각 1~2회씩 수행하였다. 한국의 25개소 풍혈지의 관속식물상은 125과 486속 947종 23아종 75변종 7품종 총 1,052분류군으로 확인되었다. 조사 면적은 최대 0.09km²로 우리나라 산림면적 62,860km²의 0.00014%에 불과하지만, 우리나라 관속식물의 4,724종 중에서 22.27%가 출현하였다. 이는 풍혈지역이 산림생물다양성의 가치가 매우 높은 지역임을 확인해 볼 수 있다. 특기할만한 식물은 멸종위기야생생물이 산작약, 으름난초 등 6분류군, 희귀식물과 적색목록은 월귤, 개병풍 등 67분류군, 한반도 특산식물과 고유종이 병꽃나무 등 58분류군, 식물구계학적 특정식물은 개느삼 등 총 317분류군이 조사되었다. 북방계식물은 토끼고사리 등 181분류군, 석회암지대 식물은 덕우기름나물 등 32분류군이 확인되었다. 외래식물은 개망초, 달맞이꽃 등 75분류군이 확인되었고, 귀화율 7.13%와 도시화율 12.12%로 산출되었다. 본 연구대상지인 풍혈지 25개소의 식물지리학적 특정식물은 월귤, 흰인가목, 꽃개회나무, 각시괴불나무, 산솜방망이 등으로 파악되었다.

• Journal of Advanced Navigation Technology
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• v.18 no.4
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• pp.304-311
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• 2014

In this paper, we propose a ultra sound inspection technique for automatic defect detection and classification in aircraft composite materials. Using local maximum values of ultra sound wave, we choose peak values for defect detection. Distance data among peak values are used to construct histogram and to determine surface and back-wall echo from the floor of composite materials. C-scan image is then composed through this method. A threshold value is determined by average and variance of the peak values, and defects are detected by the values. PCA(principal component analysis) and QDA(quadratic discriminant analysis) are carried out to classify the types of defects. In PCA, 512 dimensional data are converted into 30 PCs(Principal Components), which is 99% of total variances. Computational cost and misclassification rate are reduced by limiting the number of PCs. A decision boundary equation is obtained by QDA, and defects are classified by the equation. Experimental result shows that our proposed method is able to detect and classify the defects automatically.

• Journal of Conservation Science
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• v.28 no.3
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• pp.285-296
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• 2012

This study was to assess the effect of consolidation for intension measures of stone cultural heritage using artificially weathered stones. We have prepared four kinds of stones (Gyeongju Namsan Granite, Iksan Granite, Yeongyang Sandstone, Jeongseon Marble), and manufactured fresh, weathered and highly weathered stone samples by thermal shock for each rock type. The samples were treated with three consolidants (Wacker OH 100, Remmers KSE 300, 1T1G) by three methods {immersion, capillary rise (partial immersion), spray}, and tested for weight, porosity, ultrasonic velocity, Equotip hardness and color before and after treatment. As a result, the effect of consolidation was widely influenced by porosity and treatment methods. Wacker OH 100 was shown the highest consolidation effect in almost every stone sample.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.45-51
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• 2021

In accordance with the rapid non-face-to-face environment and mobile first strategy, the explosive increase and creation of many structured/unstructured data every year demands new decision making and services using big data in all fields. However, there have been few reference cases of using the Hadoop Ecosystem, which uses the rapidly increasing big data every year to collect and load big data into a standard platform that can be applied in a practical environment, and then store and process well-established big data in a relational database. Therefore, in this study, after collecting unstructured data searched by keywords from social network services based on Hadoop 2.0 through three virtual machine servers in the Spring Framework environment, the collected unstructured data is loaded into Hadoop Distributed File System and HBase based on the loaded unstructured data, it was designed and implemented to store standardized big data in a relational database using a morpheme analyzer. In the future, research on clustering and classification and analysis using machine learning using Hive or Mahout for deep data analysis should be continued.