• Journal of Information Processing Systems
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• 제12권2호
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• pp.234-248
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• 2016

Due to the proliferation of data being exchanged and the increase of dependency on this data for critical decision-making, it has become imperative to ensure the trustworthiness of the data at the receiving end in order to obtain reliable results. Data provenance, the derivation history of data, is a useful tool for evaluating the trustworthiness of data. Various frameworks have been proposed to evaluate the trustworthiness of data based on data provenance. In this paper, we briefly review a history of these frameworks for evaluating the trustworthiness of data and present an overview of some prominent state-of-the-art evaluation frameworks. Moreover, we provide a comparative analysis of two key frameworks by evaluating various aspects in an executional environment. Our analysis points to various open research issues and provides an understanding of the functionalities of the frameworks that are used to evaluate the trustworthiness of data.

• 가정과삶의질연구
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• 제7권2호
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• pp.213-223
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• 1989

Decision frameworks for product safty policy are developed in theory and practice. Product characteristic approach and expected utility analysis are applied to situations involving risk and misinformation. Eight types of regulatory frameworks are explained and critiqued form practical purposes on behalf of consumer policy makers. Various international organizations and their roles are briefly reviewed.

• 융합보안논문지
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• 제22권4호
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• pp.129-133
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• 2022

딥러닝 프레임워크는 현재에도 계속해서 발전되어 가고 있으며, 다양한 프레임워크들이 존재한다. 딥러닝의 대표적인 프레임워크는 TensorFlow, PyTorch, Keras 등이 있다. 딥러님 프레임워크는 이미지 학습을 통해 이미지 분류에서의 최적화 모델을 이용한다. 본 논문에서는 딥러닝 이미지 인식 분야에서 가장 많이 사용하고 있는 TensorFlow와 PyTorch 프레임워크를 활용하여 이미지 학습을 진행하였으며, 이 과정에서 도출한 결과를 비교 분석하여 최적화된 프레임워크을 알 수 있었다.

• The Journal of Advanced Prosthodontics
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• 제13권5호
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• pp.327-332
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• 2021

PURPOSE. The purpose of this in vitro study was to evaluate the accuracy of digitally designed removable partial denture (RPD) frameworks, constructed by additive and subtractive methods castable resin patterns, using comparative 3D analysis. MATERIALS AND METHODS. A Kennedy class III mod. 1 educational maxillary model was used in this study. The cast was scanned after modification, and a removable partial denture framework was digitally designed. Twelve frameworks were constructed. Two groups were defined: Group A: six frameworks were milled with castable resin, then casted by the lost wax technique into Co-Cr frameworks; Group B: six frameworks were printed with castable resin, then casted by the lost wax technique into Co-Cr frameworks. Comparative 3D analysis was used to measure the accuracy of the fabricated frameworks using Geomagic Control X software. Student's t-test was used for comparing data. P value ≤ .05 was considered statistically significant. RESULTS. Regarding the accuracy of the occlusal rests, group A (milled) (0.1417 ± 0.0224) showed significantly higher accuracy than group B (printed) (0.02347 ± 0.0221). The same results were found regarding the 3D comparison of the overall accuracy, in which group A (0.1501 ± 0.0205) was significantly more accurate than group B (0.179 ± 0.0137). CONCLUSION. In indirect fabrication techniques, subtractive manufacturing yields more accurate RPDs than additive manufacturing.

• The Journal of Advanced Prosthodontics
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• 제12권6호
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• pp.329-337
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• 2020

PURPOSE. To verify the influence of computer-aided design/computer-aided manufacturing (CAD/CAM) implant-supported prostheses manufactured with cobalt-chromium (Co-Cr) and zirconia (Zr), and whether ceramic application, spark erosion, and simulation of masticatory cycles modify biomechanical parameters (marginal fit, screw-loosening torque, and strain) on the implant-supported system. MATERIALS AND METHODS. Ten full-arch fixed frameworks were manufactured by a CAD/CAM milling system with Co-Cr and Zr (n=5/group). The marginal fit between the abutment and frameworks was measured as stated by single-screw test. Screw-loosening torque evaluated screw stability, and strain analysis was explored on the implant-supported system. All analyses were performed at 3 distinct times: after framework manufacturing; after ceramic application in both materials' frameworks; and after the spark erosion in Co-Cr frameworks. Afterward, stability analysis was re-evaluated after 106 mechanical cycles (2 Hz/150-N) for both materials. Statistical analyses were performed by Kruskal-Wallis and Dunn tests (α=.05). RESULTS. No difference between the two materials was found for marginal fit, screwloosening torque, and strain after framework manufacturing (P>.05). Ceramic application did not affect the variables (P>.05). Spark erosion optimized marginal fit and strain medians for Co-Cr frameworks (P<.05). Screw-loosening torque was significantly reduced by masticatory simulation (P<.05) regardless of the framework materials. CONCLUSION. Co-Cr and Zr frameworks presented similar biomechanical behavior. Ceramic application had no effect on the biomechanical behavior of either material. Spark erosion was an effective technique to improve Co-Cr biomechanical behavior on the implant-supported system. Screw-loosening torque was reduced for both materials after masticatory simulation.

• 정보처리학회논문지D
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• 제16D권6호
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• pp.927-934
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• 2009

본 논문에서는 UML CASE 도구 프레임워크 구축에 이용할 수 있는 공통성 및 가변성 분석 기법을 제안하고자 한다. 공통성 및 가변성 분석은 동일 도메인에서 어플리케이션 특성에 따라 변할 수 있는 영역과 변하지 않는 영역을 구분함으로써 확장과 재사용성을 향상시킬 수 있는 방법이다. 공통성 및 가변성 분석 기법으로 클래스에 기반한 분류기법을 제안하였으며, 이를 명시적으로 나타낼 수 있는 표기법을 제시하였다. 또한 분석 기법을 바탕으로 프레임워크를 구현하였으며, 결함 제거 효율성을 이용해 분석 기법의 검증을 수행하였다.

• The Journal of Advanced Prosthodontics
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• 제14권3호
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• pp.150-161
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• 2022

PURPOSE. The purpose of the study was to assess the influence of build orientations and density of support structures on the trueness of the 3D printed removable partial denture (RPD) frameworks. MATERIALS AND METHODS. A maxillary Kennedy class III and mandibular class I casts were 3D scanned and used to design and produce two 3D virtual models of RPD frameworks. Using digital light processing (DLP) 3D printing, 47 RPD frameworks were fabricated at 3 different build orientations (100, 135 and 150-degree angles) and 2 support structure densities. All frameworks were scanned and 3D compared to the original virtual RPD models by metrology software to check 3D deviations quantitatively and qualitatively. The accuracy data were statistically analyzed using one-way ANOVA for build orientation comparison and independent sample t-test for structure density comparison at (α = .05). Points study analysis targeting RPD components and representative color maps were also studied. RESULTS. The build orientation of 135-degree angle of the maxillary frameworks showed the lowest deviation at the clasp arms of tooth 26 of the 135-degree angle group. The mandibular frameworks with 150-degree angle build orientation showed the least deviation at the rest on tooth 44 and the arm of the I-bar clasp of tooth 45. No significant difference was seen between different support structure densities. CONCLUSION. Build orientation had an influence on the accuracy of the frameworks, especially at a 135-degree angle of maxillary design and 150-degree of mandibular design. The difference in the support's density structure revealed no considerable effect on the accuracy.

• ETRI Journal
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• 제33권5호
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• pp.759-769
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• 2011

Cooperative hybrid-automatic repeat request (HARQ) protocols, which can exploit the spatial and temporal diversities, have been widely studied. The efficiency of cooperative HARQ protocols is higher than that of cooperative protocols because retransmissions are only performed when necessary. We classify cooperative HARQ protocols as three decode-and-forward-based HARQ (DF-HARQ) protocols and two amplified-and-forward-based HARQ (AF-HARQ) protocols. To compare these protocols and obtain the optimum parameters, two unified frameworks are developed for protocol analysis. Using the frameworks, we can evaluate and compare the maximum throughput and outage probabilities according to the SNR, the relay location, and the delay constraint. From the analysis we can see that the maximum achievable throughput of the DF-HARQ protocols can be much greater than that of the AF-HARQ protocols due to the incremental redundancy transmission at the relay.

• 한국초등수학교육학회지
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• 제21권2호
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• pp.263-289
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• 2017

교과서에 대한 의존도가 높은 초등학교 수업 장면을 고려할 때 교과서의 구성 체제가 수학 수업에 미치는 영향은 크다고 할 수 있다. 특히 교사의 수업 계획은 교과서의 단원 및 차시를 토대로 이루어지기 때문에 단원 및 차시 구성 체제는 수학수업과 직결되는 중요한 요소이다. 이에 본 연구는 초등학교 수학 교과서의 단원 및 차시 구성 체제에 대한 종적, 횡적 비교 분석을 실시하고 그로부터 추출한 주요 특징에 대해 초등학교 교사들의 선호도를 조사하였다. 연구 결과는 우리나라 교육과정기별 수학 교과서 및 한국, 일본, 미국, 핀란드 수학 교과서의 구성 체제에는 몇 가지 차이가 있음을 보여주며, 그에 기초하여 구성한 설문 조사 결과, 초등학교 교사들이 선호하는 단원 및 차시 구성 체제를 파악할 수 있었다. 이와 같은 연구결과로부터 교과서 개발 시 구성 체제 측면에 있어서의 몇 가지 시사점을 제안하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.370-373
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• 2022

최근 Tensorflow나 Pytorch, Keras 같은 여러가지의 딥러닝 프레임워크 모델들이 나왔다. 또한 이미지 인식에 Tensorflow, Pytorch, Keras 같은 프레임 워크를 이용하여 CNN(Convolutional Neural Network)을 적용시켜 이미지 분류에서의 최적화 모델을 주로 이용한다. 본 논문에서는 딥러닝 이미지 인식분야에서 가장 많이 사용하고 있는 파이토치와 텐서플로우의 프레임 워크를 CNN모델에 학습을 시킨 결과를 토대로 두 프레임 워크를 비교 분석하여 이미지 분석할 때 최적화 된 프레임워크를 도출하였다.