• 한국IT서비스학회지
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• 제15권4호
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• pp.41-62
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• 2016

In Internet of Things (IoT) era, more diverse types of information are collected and the environment of information usage, distribution, and processing is changing. Recently, there have been a growing number of cases involving breach and infringement of personal information in IoT services, for examples, including data breach incidents of Web cam service or drone and hacking cases of smart connected car or individual monitoring service. With the evolution of IoT, concerns on personal information protection has become a crucial issue and thus the risk analysis and management method of personal information should be systematically prepared. This study shows risk factors in IoT regarding possible breach of personal information and infringement of privacy. We propose "a risk analysis framework of protecting personal information in IoT environments" consisting of asset (personal information-type and sensitivity) subject to risk, threats of infringement (device, network, and server points), and social impact caused from the privacy incident. To verify this proposed framework, we conducted risk analysis of IoT services (smart communication device, connected car, smart healthcare, smart home, and smart infra) using this framework. Based on the analysis results, we identified the level of risk to personal information in IoT services and suggested measures to protect personal information and appropriately use it.

• Journal of Microbiology and Biotechnology
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• 제33권6호
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• pp.753-759
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• 2023

The genus Paenibacillus contains a variety of biologically active compounds that have potential applications in a range of fields, including medicine, agriculture, and livestock, playing an important role in the health and economy of society. Our study focused on the bacterium SS4^T (KCTC 43402^T = GDMCC 1.3498^T), which was characterized using a polyphasic taxonomic approach. This strain was analyzed using antiSMASH, BAGEL4, and PRISM to predict the secondary metabolites. Lassopeptide clusters were found using all three analysis methods, with the possibility of secretion. Additionally, PRISM found three biosynthetic gene clusters (BGC) and predicted the structure of the product. Genome analysis indicated that glucoamylase is present in SS4^T. 16S rRNA sequence analysis showed that strain SS4^T most closely resembled Paenibacillus marchantiophytorum DSM 29850^T (98.22%), Paenibacillus nebraskensis JJ-59^T (98.19%), and Paenibacillus aceris KCTC 13870^T (98.08%). Analysis of the 16S rRNA gene sequences and Type Strain Genome Server (TYGS) analysis revealed that SS4^T belongs to the genus Paenibacillus based on the results of the phylogenetic analysis. As a result of the matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF/MS) results, SS4^T was determined to belong to the genus Paenibacillus. Comparing P. marchantiophytorum DSM 29850^T with average nucleotide identity (ANI 78.97%) and digital DNA-DNA hybridization (dDDH 23%) revealed values that were all less than the threshold for bacterial species differentiation. The results of this study suggest that strain SS4^T can be classified as a Paenibacillus andongensis species and is a novel member of the genus Paenibacillus.

• 대한기계학회논문집A
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• 제33권2호
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• pp.127-134
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• 2009

T-splines are recently proposed geometric modeling tools. A T-spline surface is a NURBS surface with T-junctions and is defined by a control grid called T-mesh. Local refinement can be performed very easily for T-splines while it is limited for B-splines or NURBS. Using T-splines, patches with unmatched boundaries can be combined easily without special technique. In this study, the analysis methodology using T-splines is proposed. In this methodology, T-splines are used both for description of geometries and for approximation of solution spaces. Two-dimensional linear elastic and dynamic problems will be solved by employing the proposed T-spline finite element method, and the effectiveness of the current analysis methodology will be verified.

• 예술인문사회 융합 멀티미디어 논문지
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• 제8권10호
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• pp.71-79
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• 2018

사물인터넷은 하드웨어와 소프트웨어로 구성된 사물이 인터넷에 연결을 통해 서로 정보를 주고받는 것을 가능하게 하는 기술로써 사물의 서비스화를 촉진시키고 있다. 최근 IoT 디바이스와 웹 서비스로 구성된 IoT 서비스는 마케팅 분야에 적용되어 고객의 니즈를 충족시킬 수 있는 수단으로 활용되기 시작했다. 하지만, IoT 서비스에 적절한 마케팅 요소를 적용하는 것은 쉽지 않다. 따라서 IoT 서비스에 마케팅 요소를 적절하게 적용하기 위한 분석 도구가 요구된다. 이에 본 연구는 IoT 서비스의 마케팅 평가를 위한 분석 모델을 구축하는 것을 목적으로 한다. 본 연구는 문헌 연구를 통해 IoT의 기술 요소 및 마케팅 요소를 도출하고, 이를 통해 서비스 청사진 기법을 기반으로 각 요소 간의 관계성 조사를 통해 IoT 서비스의 마케팅 평가를 위한 분석 모델을 구축했다. 또한 구축된 분석 모델의 검증을 위해 실제 사례를 적용했다. 본 연구는 IoT 서비스를 평가하기 위한 도구 개발에 공헌할 것으로 기대된다.

• 대한기계학회논문집A
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• 제27권12호
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• pp.2072-2078
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• 2003

In this paper, the boundary element analysis of viscoelastic strain energy release rate G(t) for the cracked linear viscoelastic solids has been attempted. This study proposes the G(t) equation and the calculating method of G(t) by time-domain boundary element analysis for the viscoelastic solids. The G(t) is defined as the derivative of the viscoelastic potential energy II(t) with respect to crack length a. Two example problems are presented to show the applicability of the proposed method to the analysis of the cracked linear viscoelastic solids. Numerical results of example problems show the accuracy and effectiveness of the proposed method.

• Structural Engineering and Mechanics
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• 제30권2호
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• pp.225-245
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• 2008

T-splines are recently proposed mathematical tools for geometric modeling, which are generalizations of B-splines. Local refinement can be performed effectively using T-splines while it is not the case when B-splines or NURBS are used. Using T-splines, patches with unmatched boundaries can be combined easily without special techniques. In the present study, an analysis framework using T-splines is proposed. In this framework, T-splines are used both for description of geometries and for approximation of solution spaces. This analysis framework can be a basis of a CAD/CAE integrated approach. In this approach, CAD models are directly imported as the analysis models without additional finite element modeling. Some numerical examples are presented to illustrate the effectiveness of the current analysis framework.

• 식물분류학회지
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• 제31권4호
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• pp.359-373
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• 2001

본 연구에서는 우리나라에 분포하는 애기부들(Typha Augustifolia L.)에 대한 외부형태학적 형질을 조사하여 정확한 실체를 파악하고, 명명상의 혼란을 해소하고자 하였다. 우리나라에 분포하는 애기부들에 대한 학명으로 분류학적 한계의 규명없이 T. angustifolia L. 와 T. angustata Bory et Chaubard가 사용되어 왔다. Typha angustifolia와 T. angustata는 자화의 길이와 소포엽의 길이 비, 소포엽의 길이와 털의 길이 비에 의해 구분되어 왔다. 그러나 이러한 형질은 한 개체에서도 여러 가지 형태적 변이를 나타내고 있으며, 단변량 분석결과 우리나라의 애기부들은 자화와 소포엽의 길이 비 ($1.15{\pm}0.18$)와 소포엽과 털의 길이 비 ($1.00{\pm}0.06$)에서 연속적인 변이 양상을 보이고 있다. 따라서 이러한 형질로는 Typha angustifolia와 T. angustata를 구분할 수 없다. 따라서 T. angustata를 T. angustifolia의 이명으로 처리하였다. 한편, 주성분 분석결과에서 우리나라의 애기부들과 일본, 러시아, 미국등에 분포하는 T. angustifolia와 동일그룹을 형성한다. 따라서 우리나라에 분포하는 애기부들에 대하여 적합한 학명으로는 T. angustifolia가 사용되어져야 할 것으로 보인다.

• Investigative Magnetic Resonance Imaging
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• 제25권2호
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• pp.118-128
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• 2021

Purpose: To investigate the value of MR textural analysis, including use of diffusion-weighted imaging (DWI) to differentiate malignant from benign soft-tissue tumors on 3T MRI. Materials and Methods: We enrolled 69 patients (25 men, 44 women, ages 18 to 84 years) with pathologically confirmed soft-tissue tumors (29 benign, 40 malignant) who underwent pre-treatment 3T-MRI. We calculated MR texture, including mean, standard deviation (SD), skewness, kurtosis, mean of positive pixels (MPP), and entropy, according to different spatial-scale factors (SSF, 0, 2, 4, 6) on axial T1- and T2-weighted images (T1WI, T2WI), contrast-enhanced T1WI (CE-T1WI), high b-value DWI (800 sec/mm²), and apparent diffusion coefficient (ADC) map. We used the Mann-Whitney U test, logistic regression, and area under the receiver operating characteristic curve (AUC) for statistical analysis. Results: Malignant soft-tissue tumors had significantly lower mean values of DWI, ADC, T2WI and CE-T1WI, MPP of ADC, and CE-T1WI, but significantly higher kurtosis of DWI, T1WI, and CE-T1WI, and entropy of DWI, ADC, and T2WI than did benign tumors (P < 0.050). In multivariate logistic regression, the mean ADC value (SSF, 6) and kurtosis of CE-T1WI (SSF, 4) were independently associated with malignancy (P ≤ 0.009). A multivariate model of MR features worked well for diagnosis of malignant soft-tissue tumors (AUC, 0.909). Conclusion: Accurate diagnosis could be obtained using MR textural analysis with DWI and CE-T1WI in differentiating benign from malignant soft-tissue tumors.

• 한국방사선학회논문지
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• 제13권7호
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• pp.1035-1043
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• 2019

본 연구의 목적은 1.5 T와 3.0 T 비 인두 MRI 검사 후 SNR과 CNR을 평가하여 최적의 Tesla를 알아보고자 하였다. 총 30명의 PACS로 전송된 Nasopharynx MRI검사 환자를 무작위로 선택하여 본 연구에 적용하였다. 데이터 분석에 사용된 장비로는 1.5 T, 3.0 T MRI 장비를 이용하였다. 분석 방법으로 T1 WI과 T1 지방소거 영상에서 각 Tongue, Spinal Cord, Masseter Muscle, Fat, Parotid Gland, Tumor의 조직에 대하여 일정한 관심영역을 설정하고 SNR와 CNR을 평가하였다. 6가지의 조직에 대하여 정량적 분석으로 SNR과 CNR을 평가하였고, 정성적 분석으로 균일한 지방소거, 자화 감수성 인공물에 대한 영상의 질을 4점 척도로 측정하였다. 본 데이터 분석의 통계적 유의성은 독립표본 T검증과 Wilcoxon Signed Ranks사용하였으며, p 값이 0.05이하일 때 유의성을 두었다. 본 실험에 대한 정량적 평가 결과 T1 WI 과 T1 지방소거를 1.5 T와 3.0 T를 비교했을 때 T1 WI에 대한 3.0 T가 평균 SNR(124.75±), CNR(118.91±)로 정량적 분석에서 SNR과 CNR값이 1.5 T평균 SNR(73.15±), CNR(60.59±)에 비해 높게 나타났다. 또한 T1 지방소거에서 3.0 T가 평균 SNR(101.10±), CNR(81.24±)로 1.5 T의 평균 SNR(78.47±), CNR(65.70±)에 비해 높게 나타났다. 정성적 분석으로 균일한 지방소거, 자화 감수성 인공물에 대하여 4등급으로 평가했을 때 1.5 T 장비가 높은 점수를 얻었다(p<0.05). 결론적으로 두 기기에 대한 데이터 분석 결과 정량적 평가부분 에서는 3.0 T 장비가 높게 나타났고 정성적 평가 부분에서는 1.5 T가 높게 나타났다. 따라서 각 장비에 대한 장단점을 고려할 때 상호보완적으로 장비를 선택하여 환자에게 적용한다면 최적의 정보를 제공할 것이라고 사료된다.

• 한국간호교육학회지
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• 제15권1호
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• pp.120-127
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• 2009

Purpose: In the literature power analysis in experimental studies is often executed and reported falsely. This descriptive study was done to promote the correct application of the Cohen(1988)'s power analysis method. Method: Articles of experimental studies from a nursing journal were selected and reviewed to examine the uses of and the reports on the power analysis process. Also, the appropriate power analysis process was discussed with an example of the most common experimental design, an independent two-group design with t test analysis plan. Result: Around half the experimental studies examined reported that they carried out power analysis. Cohen's method was the most frequently utilized but with accuracy in question. Conclusion: Power analysis to estimate sample size is the interplay between alpha, power, and effect size, and other factors in the case of t test analysis. Researchers should have a clear understanding of how to apply the Cohen's power analysis method so they do not produce poorly estimated sample sizes.