• 한국비블리아학회지
• /
• 제33권1호
• /
• pp.345-369
• /
• 2022

본 연구의 목적은 인문학 분야 연구데이터와 연구논문을 연계할 수 있는 '인문학 분야 연구데이터를 위한 연구논문 의미구조 기반 메타데이터'를 개발하는 것이다. 인문학 분야 연구자의 관심 정보를 파악하기 위해 키워드 유형화를 진행하고 이를 일반적인 연구논문의 의미구조를 기준으로 분석함으로써 인문학 분야의 특성을 반영하기 위해 추가될 요소를 확인하였다. 이를 기반으로 인문학 분야 연구논문의 의미구조 기반 메타데이터를 구성하였으며 해당 메타데이터가 인문학 분야 연구데이터의 메타데이터로서 적합한지를 평가하기 위하여 인문학 분야 연구자를 대상으로 설문을 진행하였다. 인문학 분야 연구논문의 의미구조를 기반으로 도출된 17개의 메타데이터 요소 중 인문학 분야 연구데이터 메타데이터로 활용하기에 적합하다고 판단된 요소는 7개이며, 그 외 10개 요소는 사용 가능한 요소로 확인되었다. 평가 결과를 바탕으로 인문학 분야 연구데이터를 위한 연구논문 의미구조기반 메타데이터를 구성하였다.

• Journal of Applied Biological Chemistry
• /
• 제49권3호
• /
• pp.90-94
• /
• 2006

Bactericidal activity of grapefruit seed extract (GSE)-based disinfectant, as a safe disinfectant, was measured against five bacteria by Korean Food & Drug Administration (KFDA) dilution-neutralization method. GSE-based disinfectant showed a 99.9999% bactericidal activity against Escherichia coli ATCC 10536, Salmonella typhi ATCC 29629, Staphylococcus aureus ATCC 6538, Bacillus cereus ATCC 11778, and Listeria monocytogenes ATCC 1911 at the concentration of 2.15% GSE. It showed better bactericidal activity against Gram-negative bacteria of E. coli ATCC 10536 and S. typhi ATCC 29629 at lower concentration of GSE (0.43%). Based on the results, it was suggested that a possible bactericidal mechanism of GSE active ingredients was due to the abrupt osmotic shift during the bactericidal activity test by KFDA method.

• 한국막학회:학술대회논문집
• /
• 한국막학회 2003년도 The 4th Korea-Italy Workshop
• /
• pp.87-89
• /
• 2003

Thermoplastic polyurethane(PU)-based blend membranes were prepared by the solvent evaporation process. The gas sorption, diffusion, and permeation properties of PU-based blend membranes have been studied. The morphology of PU-based blend membranes was investigated by SEM. The result showed that phase separation occurred with increasing blend ratio. $CO_2$ permeation behaviors of blend membranes were affect by blend composition. Thermoplastic polyurethane(PU)-based membranes showed high $CO_2$ permeation and $CO_2$/$N_2$ selectivity of the blend membrane was improved with increasing the blend ratio.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2015년도 추계학술발표대회
• /
• pp.1446-1447
• /
• 2015

In this paper, we developed the quantification software for evaluating the voxel-based cellular heterogeneity of gadoxetic acid-enhanced magnetic resonance imaging (MRI) in the liver. Our software is clinically applied to accurately quantify and interpret the alterations of liver functions in patients with hepatocellular carcinoma.

• ETRI Journal
• /
• 제44권1호
• /
• pp.85-93
• /
• 2022

We propose an efficient method for synthesizing mesh-based realistic computer-generated hologram (CGH). In a previous nonanalytic mesh-based CGH synthesis, the angular spectrum of the two-dimensional (2D) plane is calculated using the fast Fourier transform (FFT) with the same size as the resolution of the final hologram. Because FFT increases the computation time as the size of the input matrix increases, the previous method has a problem: The higher the resolution of the hologram, the greater the computational load, thereby delaying synthesis time. In this study, when calculating the angular spectrum of the 2D plane in mesh-based CGH synthesis, we propose a method to calculate the angular spectrum by defining the 2D plane with an arbitrary size smaller than the resolution of the final hologram. The resolution adjustment method reduces the computation time and can be applied to occlusion culling and texturing for the realistic effect of mesh-based CGH. We describe the principle, error analysis, application of realistic effect, and experimental results of the proposed method.

• ETRI Journal
• /
• 제36권5호
• /
• pp.714-720
• /
• 2014

In this paper, we propose the use of data-driven probabilistic utterance-level decision logic to improve Weighted Finite State Transducer (WFST)-based endpoint detection. In general, endpoint detection is dealt with using two cascaded decision processes. The first process is frame-level speech/non-speech classification based on statistical hypothesis testing, and the second process is a heuristic-knowledge-based utterance-level speech boundary decision. To handle these two processes within a unified framework, we propose a WFST-based approach. However, a WFST-based approach has the same limitations as conventional approaches in that the utterance-level decision is based on heuristic knowledge and the decision parameters are tuned sequentially. Therefore, to obtain decision knowledge from a speech corpus and optimize the parameters at the same time, we propose the use of data-driven probabilistic utterance-level decision logic. The proposed method reduces the average detection failure rate by about 14% for various noisy-speech corpora collected for an endpoint detection evaluation.

• 한국정보통신설비학회:학술대회논문집
• /
• 한국정보통신설비학회 2008년도 정보통신설비 학술대회
• /
• pp.350-354
• /
• 2008

IP-based mobile communication system is one of the key research items in the mobile networks for a long time. But, due to some technical issues and no need of markets, it is still not full-fledged. Recently, CDMA and WCDMA service providers want to introduce IP-based network connectivity. Even though their efforts, the main network intra-structure depends on ATM or HDLC technology. This article describes a good example of commercialization of IP-based mobile communication systems. Our research is not experimental system but a in-service system - replacing the existing equipments with new IP-based systems. In this paper, we introduce IP related technologies used in our research such as IP-based ATCA(Advanced Telecommunications Computing Architecture) platform, HA(High Availability) redundancy, IP multicast, network redundancy techniques, multi-link bundling and IP header compression. These are already well-known to internet domain. We mix them with mobile communication systems concretely.

• Asia Marketing Journal
• /
• 제26권2호
• /
• pp.129-144
• /
• 2024

This research is on how people's trust in human-like AI-based service will influence customer engagement (CE). This study will discuss the relationship between trust and CE and explore how people's trust in AI affects CE when they lack knowledge of the company/brand. Items from the philosophical study of trust were extracted to build a scale suitable for trust in AI. The scale's reliability was ensured, and six components of trust in AI were merged into three dimensions: trust based on Quality Assurance, Risk-taking, and Corporate Social Responsibility. Trust based on quality assurance and risk-taking is verified to positively impact customer engagement, and the feelings about AI-based service fully mediate between all three dimensions of trust in AI and CE. The new trust scale for human-like AI-based services on social media sheds light on further research. The relationship between trust in AI and CE provides a theoretical basis for subsequent research.

• ETRI Journal
• /
• 제38권1호
• /
• pp.9-17
• /
• 2016

We demonstrate a time- and wavelength-division multiplexed passive optical network system employing a vertical-cavity surface-emitting laser array-based optical line terminal transceiver and a tunable bidirectional optical subassembly-based optical network terminal transceiver. A packet error-free operation is achieved after a 40 km single-mode fiber bidirectional transmission. We also discuss an arrayed waveguide grating, a photo detector array based on complementary metal-oxide-semiconductor photonics technologies, and low-cost key devices for deployment in access networks.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
• /
• pp.1111-1113
• /
• 2003

In this paper, we investigated a method for feature - based classification to develop software which is suitable to the classification of high resolution satellite imagery . So, we developed related algorithm and designed user interfaces of convenience, considering various elements require for the feature - based classification. The software was tested with eCognition software which is unique commercial software for feature - based classification.