• Journal of the Korean Society of Clothing and Textiles
• /
• v.23 no.8
• /
• pp.1161-1169
• /
• 1999

This research was aimed to identify the artifact type and their characteristics of the textile related materials excavated from Koryo Dynasty tombs of Hyungok-ni Danyang. Microscopy solubility test energy dispersive X-ray spectroscopy(EDS) and fourier transform infrared spectroscopy (FT-IR) fabric density test were used for the identification and when necessary standard samples were made in order to compare its characteristics with hose of the original artifact, the result indicated that the artifacts included both textile and paper. Artifacts from Burial 14 were comprised of textile fragments FT-IR and the solubility test conducted on the artifact indicated that the textiles were made with ramie woven with plain weave technique in a fairly loose fabric density. Rest of the artifacts were all comprised of paper.

• Proceedings of the IEEK Conference
• /
• 2006.06a
• /
• pp.325-326
• /
• 2006

This paper proposes a new frame interpolation algorithm mainly designed for intra-mode blocks. In order to improve the accuracy of pixel interpolation, the new algorithm exploits two different interpolation modes for inter-mode blocks and intra-mode blocks, respectively. The use of the two modes reduces ghost artifacts but increases blocking artifacts between the blocks interpolated by different modes. To reduce blocking artifacts, this paper proposes an interpolation algorithm that attempts to isolate a fast moving object and interpolates such objects as the intra-mode while the remaining blocks are interpolated as the inter-mode. Simulation results show that the proposed algorithm improves subjective and objective quality of pictures by reducing ghost artifacts.

• Proceedings of the IEEK Conference
• /
• 2000.07a
• /
• pp.221-224
• /
• 2000

The purposes of this paper are to clarify the influences of artifacts on a cerebrovascular audiospectroscopy (CeVASS) and to improve the detecting precision of the CeVASS. First, we perform the CeVASS in 15 healthy adults with various measuring positions such as forehead eyes, cervical parts, temple parts, and occipitomastoid parts, and the influences of artifacts on each position is estimated. Next, we discuss about the removal of the artifacts using cross-spectral analysis. Finally, we propose an improved system of the CeVASS.

• ETRI Journal
• /
• v.43 no.5
• /
• pp.881-890
• /
• 2021

Photoplethysmography (PPG) is a noninvasive technique that can be used to conveniently measure heart rate (HR) and thus obtain relevant health-related information. However, developing an automated PPG system is difficult, because its waveforms are susceptible to motion artifacts and between-patient variation, making its interpretation difficult. We use deep neural network (DNN) filters to mimic the cognitive ability of a human expert who can distinguish the features of PPG altered by noise from various sources. Systolic (S), onset (O), and first derivative peaks (W) are recognized by three different DNN filters. In addition, the boundaries of uninformative regions caused by artifacts are identified by two different filters. The algorithm reliably derives the HR and presents recognition scores for the S, O, and W peaks and artifacts with only a 0.7-s delay. In the evaluation using data from 11 patients obtained from PhysioNet, the algorithm yields 8643 (86.12%) reliable HR measurements from a total of 10 036 heartbeats, including some with uninformative data resulting from arrhythmias and artifacts.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2018.11a
• /
• pp.59-61
• /
• 2018

Highly compressed images typically not only have low resolution, but are also affected by compression artifacts. Performing image super-resolution (SR) directly on highly compressed image would simultaneously magnify the blocking artifacts. In this paper, a SR method based on deep learning is proposed. The method is an end-to-end trainable deep convolutional neural network which performs SR on compressed images so as to reduce compression artifacts and improve image resolution. The proposed network is divided into compression artifacts removal (CAR) part and SR reconstruction part, and the network is trained by three-step training method to optimize training procedure. Experiments on JPEG compressed images with quality factors of 10, 20, and 30 demonstrate the effectiveness of the proposed method on commonly used test images and image sets.

• Journal of Korea Multimedia Society
• /
• v.25 no.5
• /
• pp.676-684
• /
• 2022

As realistic media are widespread in various image processing areas, image or video compression is one of the key technologies to enable real-time applications with limited network bandwidth. Generally, image or video compression cause the unnecessary compression artifacts, such as blocking artifacts and ringing effects. In this study, we propose a Deep Residual Channel-attention Network, so called DRCAN, which consists of an input layer, a feature extractor and an output layer. Experimental results showed that the proposed DRCAN can reduced the total memory size and the inference time by as low as 47% and 59%, respectively. In addition, DRCAN can achieve a better peak signal-to-noise ratio and structural similarity index measure for compressed images compared to the previous methods.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2011.11a
• /
• pp.846-849
• /
• 2011

최근 iPhone, iPad의 높은 사용율과 더불어 Apple 의 Mac 계열 제품에 대한 관심도 높아지고 있다. 이는 Apple의 운영체제인 Mac OS X의 사용율 증가와 함께 디지털 포렌식 수사 환경에서의 Mac OS X의 중요성이 높아짐을 의미한다. 디지털 포렌식 관점에서 Mac OS X에는 사용자의 사용 정보를 남기는 주요 Artifacts들이 있다. 외부 저장 장치 연결 정보, 어플리케이션 설치 정보, 사용자 인증 정보, 어플리케이션 설정 정보 등이 대표적인 Artifacts들이며, 이러한 정보들은 특정 위치의 로그 파일에 남게 된다. 본 논문은 Mac OS X의 대표적 Artifacts 들을 대상으로 사용 흔적 정보가 남는 파일을 분석하여 디지털 포렌식 수사 시 활용할 수 있도록 한다.

• Journal of KIISE:Software and Applications
• /
• v.35 no.6
• /
• pp.357-365
• /
• 2008

Requirements traceability enables to reuse various kinds of software artifacts, which are the results from software development life cycle, rather than reuse source code only. To support requirements traceability for reuse of software artifacts, 1) artifacts should be described based on requirements and 2) a requirements tracing method should be supported. In this paper, we provide a description model for annotating requirements information to software artifacts by using requirements ontology. We also provide semantic tagging method users to efficiently annotate artifacts with the requirements ontology. And we finally present how requirements traceability is supported based on requirements ontology and also suggest the system architecture for requirements traceability support.

• 보존과학연구
• /
• s.22
• /
• pp.115-132
• /
• 2001

No. 3 Tomb of Bogam-ri, in Naju City, Chollanam-do Province, was a site excavated and inspected from 1996 to 1998 and had a various grave forms, including jar-coffins, stone-chambers and stone-cists. Although most of the metal artifacts excavated from it were severely corroded, we could implement microstructure investigation by collecting samples from the iron axes, iron coffin-nails and iron clamps in which the metal parts were remained. The metal structures were inspected by using metallographic microscope and SEM, and fine components analysis was implemented by ICP. To examine the hardness differences in accordance with the structure distribution, we measured the hardness by structures with Vickers hardness testing machine. As a result of the metal structure inspection, most of them were pure iron, ferrite, and also pearlite, cementite and widmannstaten structures were displayed. We could confirm carbonization was formed on the surface of the iron axes-B, iron coffin-nails-B, and iron clamps-A. There was no carbonization in the rest of the artifacts, and it is not certain that whether the carbonized parts were peeled off through extreme corrosion or they were not carbonized when they were made. In the particular part of a blade, the quality of the material was strengthened through processing. Due to the processing re-grain was caused and fine grain particles were formed. As a result of the ICP component analysis, there were no addition atoms because pure irons were used as materials. In the mean time, No. 17 jar-coffin where the iron axes-A are excavated, is chronologically ordered as from the late-fourth century to the mid-fifth century, and No. 1 and No. 2 stone chambers, where the rest of the artifacts were excavated, as the early-sixth century. It was difficult to relate the periodic differences with the manufacture technique artifacts which we inspected because there were no distinct characteristics of the manufacture technique of the metal structures and it is impossible to conclude the artifacts and sites are at the same period although their periods are different.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.51 no.8
• /
• pp.51-57
• /
• 2014

In this paper, we propose a novel method to effectively eliminate flickering artifacts caused by dehazing in video sequences. When applying a dehazing technique directly to each image in a video sequence, flicker artifacts may occur because atmospheric values are calculated without considering the relation of adjacent frames. Although some existing methods reduce flickering artifacts by calculating highly correlated transmission values between adjacent frames, flickering artifacts may still occur. Therefore, in order to effectively reduce flickering artifacts, we propose a novel approach considering temporal averages of atmospheric light values calculated from adjacent frames. Experimental results have shown that the proposed method achieves better performance of video dehazing with less flickering artifact than existing methods.