• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권9호
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• pp.4375-4388
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• 2018

To solve the problem of transmission errors in stereoscopic images, this paper proposes a novel error concealment (EC) method using superpixel segmentation and adaptive disparity selection (SSADS). Our algorithm consists of two steps. The first step is disparity estimation for each pixel in a reference image. In this step, the numbers of superpixel segmentation labels of stereoscopic images are used as a new constraint for disparity matching to reduce the effect of mismatching. The second step is disparity selection for a lost block. In this step, a strategy based on boundary smoothness is proposed to adaptively select the optimal disparity which is used for error concealment. Experimental results demonstrate that compared with other methods, the proposed method has significant advantages in both objective and subjective quality assessment.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2006년도 춘계학술발표회 논문집
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• pp.193-198
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• 2006

Among 242 Hyperion bands, there are 46 bands that contain completely no information and some other bands with various kinds of noise. It is mainly due to the atmosphenc absorption and the low signal-to-noise ratio. The visual inspection for selecting clean and stable bands is a simple practice, but is a manual, inefficient, and subjective Process. Though uncalibrated, overlapping, and all deep water absorption bands are removed, there still exist noisy bands. In this paper, we propose that the extrema ratio be measured for noise estimation and the unsupervised band selection be performed using the Expectation-Maximization algorithm. The Hyperion data were classified into 5 categories according to the image quality by visual inspection, and used as the reference data. The accuracy of the proposed method was compared with signal-to-noise ranking and entropy ranking. As a result, the proposed mettled was effective as preprocessing step for band selection.

• 한국항공운항학회지
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• 제32권2호
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• pp.65-71
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• 2024

It is anticipated that Gadeok New Airport will be constructed, and the entity responsible for its operation will be a new airport authority, not the existing airport corporation, as the Ministry of Land, Infrastructure and Transport has announced its plan to establish the Gadeok New Airport Construction Authority. Based on the precedents of existing airport corporations, it is expected that the future authority will undergo organizational changes to become an airport corporation. This study seeks to establish criteria for selecting overseas airports for benchmarking when researching the entity that will operate the newly established Gadeok New Airport authority. To provide a specific basis for selecting overseas airports for the future operation of Gadeok Airport, the Delphi survey method will be used to derive criteria. Currently, when examining the participation of local governments in regional airports, Gimhae International Airport is operated solely by the Korea Airports Corporation, receiving criticism for the lack of participation by the local government, such as Busan City, in decision-making related to airport operation and local reinvestment. Therefore, it is deemed necessary to provide early direction for improvement in this regard.

• 한국통신학회논문지
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• 제33권4C호
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• pp.312-320
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• 2008

H.264/AVC에서 부호화 효율 개선을 위해 매크로 블록 기반 적응 보간 방법이 고려되어졌다. 이 방법에서 필터 선택 기준은 비트율과 왜곡 항들이 고려하여 좋은 성능을 발휘하지만 아직 개선의 여지를 남겨두고 있다. 따라서 본 논문에서는 기존 방법보다 높은 부호화 효율 개선을 위해 움직임 벡터와 예측 에러에 대한 두 가지 비트율과 복원 에러를 고려하여 새로운 필터 선택 기준을 제안한다. 부가적으로 선택된 필터 정보 전송을 위한 오버헤더 (overhead)를 줄이는 알고리듬을 나타낸다. 실험 결과는 제안 방법이 기존 방법에 비하여 우수한 성능을 보이고 H.264/AVC에 비해 전체 비트율이 평균 5.19% (참조 프레임: 1개)와 5.14% (참조 프레임: 5개) 절감된다.

• 아시아태평양코퍼스연구
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• 제4권1호
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• pp.61-71
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• 2023

This study examines the effects of data-driven learning (DDL)-an approach employing corpora for inductive language pattern learning-on error identification in second language (L2) writing. The data consists of error identification instances from fifty-five participants, compared across different reference materials: the Corpus of Contemporary American English (COCA), dictionaries, and no use of reference materials. There are three significant findings. First, the use of COCA effectively identified collocational and form-related errors due to inductive inference drawn from multiple example sentences. Secondly, dictionaries were beneficial for identifying lexical errors, where providing meaning information was helpful. Finally, the participants often employed a strategic approach, identifying many simple errors without reference materials. However, while maximizing error identification, this strategy also led to mislabeling correct expressions as errors. The author has concluded that the strategic selection of reference materials can significantly enhance the effectiveness of error identification in L2 writing. The use of a corpus offers advantages such as easy access to target phrases and frequency information-features especially useful given that most errors were collocational and form-related. The findings suggest that teachers should guide learners to effectively use appropriate reference materials to identify errors based on error types.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 추계학술대회 논문집
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• pp.632-635
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• 2002

There are more than five dozen different RP(rapid prototyping) systems in the world and they are fairly expensive. All those systems have different capabilities and requirements in that each of them gives different tolerance, application field and part strength, etc. This situation may cause a problem of selecting an appropriate RP system. This paper presents an expert system, utilizing an algorithm that is composed up of rules to derive recommendations and answers to queries of the RP users. The expert system incorporates RP machines commercially available and adopts multi-selection criteria, namely, machine price, accuracy, build size, adopted process, etc. In the expert system, forward reasoning method is adopted and external spreadsheet for sub-data of the RP systems is used. The rules and knowledge are obtained from interviews and discussions with RP vendors and users, appropriate research publications and other reference materials.

• 한국컴퓨터정보학회논문지
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• 제6권3호
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• pp.50-55
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• 2001

비 신뢰성 네트워크에서 실시간 비디오 전송을 위한 에러 복원 (Error Resilience)기법들을 살펴보고자 한다. 소스 코딩 단계에서 에러 제어를 위해서 각 디코더는 에러검출(Error Detection). 재동기화 (Resynchronization) 그리고 에러감춤 (Error Concealment)을 할 수 있어야 한다. 더군다나 소스 코더를 채널환경에 맞추기 위한 코딩제어(Coding Control)를 통해서 반송정보에 대한 적절한 처리 기법을 논하였다. 우리는 채널환경에 맞춘 소스코딩을 목적으로 한 에러 추적 (Error Tracking), 에러 국한 (Error Confinement) 그리고 참조그림선택 (Reference Picture Selection) 기법을 검토하고 비교하고자 한다. 그리고 피드백 기반 소스코딩이 미디언 서버에 저장되어 있는 이전에 압축된 비디오와 어떻게 관련되어 있는지 살펴보고자 한다.

• 한국정보통신학회논문지
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• 제20권9호
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• pp.1696-1703
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• 2016

본 논문에서는 현재 해양수산부에서 운영 중인 NDGPS 기준국을 SBAS 기준국으로 공동 활용하기 위한 목적으로 사이트 환경 관점에서의 타당성을 확인한다. 이를 위하여 SBAS 기준국의 사이트 환경 요구사항을 도출하고, 본 요구사항을 확인할 수 있는 절차를 수립한다. 그리고 수립된 기준국 사이트 환경 조사 절차를 기반으로 NDGPS 기준국의 현장 조사를 실시하고 그 결과를 분석한다. 이때, 사이트 환경 조사를 위한 사이트 선정은 NDGPS 기준국 17개소를 대상으로 한다. 본 논문의 내용은 NDGPS 기준국을 SBAS 기준국으로 공동 활용하기 위하여 고려해야 할 요소도출 및 위성항법시스템 분야의 기준국 선정 및 구축 시 활용할 수 있다.

• Fisheries and Aquatic Sciences
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• 제19권4호
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• pp.21.1-21.11
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• 2016

Background: The evaluation of suitable reference genes as normalization controls is a prerequisite requirement for launching quantitative reverse transcription-PCR (RT-qPCR)-based expression study. In order to select the stable reference genes in abalone Haliotis discus hannai tissues (gill and hepatopancreas) under heavy metal exposure conditions (Cu, Zn, and Cd), 12 potential candidate housekeeping genes were subjected to expression stability based on the comprehensive ranking while integrating four different statistical algorithms (geNorm, NormFinder, BestKeeper, and ${\Delta}CT$ method). Results: Expression stability in the gill subset was determined as RPL7 > RPL8 > ACTB > RPL3 > PPIB > RPL7A > EF1A > RPL4 > GAPDH > RPL5 > UBE2 > B-TU. On the other hand, the ranking in the subset for hepatopancreas was RPL7 > RPL3 > RPL8 > ACTB > RPL4 > EF1A > RPL5 > RPL7A > B-TU > UBE2 > PPIB > GAPDH. The pairwise variation assessed by the geNorm program indicates that two reference genes could be sufficient for accurate normalization in both gill and hepatopancreas subsets. Overall, both gill and hepatopancreas subsets recommended ribosomal protein genes (particularly RPL7) as stable references, whereas traditional housekeepers such as ${\beta}-tubulin$ (B-TU) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) genes were ranked as unstable genes. The validation of reference gene selection was confirmed with the quantitative assay of MT transcripts. Conclusions: The present analysis showed the importance of validating reference genes with multiple algorithmic approaches to select genes that are truly stable. Our results indicate that expression stability of a given reference gene could not always have consensus across tissue types. The data from this study could be a good guide for the future design of RT-qPCR studies with respect to metal regulation/detoxification and other related physiologies in this abalone species.

• Asian-Australasian Journal of Animal Sciences
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• 제32권11호
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• pp.1657-1663
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• 2019

Objective: A genome-based best linear unbiased prediction (GBLUP) method was applied to evaluate accuracies of genomic estimated breeding value (GEBV) of carcass and reproductive traits in Berkshire, Duroc and Yorkshire populations in Korean swine breeding farms. Methods: The data comprised a total of 1,870, 696, and 1,723 genotyped pigs belonging to Berkshire, Duroc and Yorkshire breeds, respectively. Reference populations for carcass traits consisted of 888 Berkshire, 466 Duroc, and 1,208 Yorkshire pigs, and those for reproductive traits comprised 210, 154, and 890 dams for the respective breeds. The carcass traits analyzed were backfat thickness (BFT) and carcass weight (CWT), and the reproductive traits were total number born (TNB) and number born alive (NBA). For each trait, GEBV accuracies were evaluated with a GEBV BLUP model and realized GEBVs. Results: The accuracies under the GBLUP model for BFT and CWT ranged from 0.33-0.72 and 0.33-0.63, respectively. For NBA and TNB, the model accuracies ranged 0.32 to 0.54 and 0.39 to 0.56, respectively. The realized accuracy estimates for BFT and CWT ranged 0.30 to 0.46 and 0.09 to 0.27, respectively, and 0.50 to 0.70 and 0.70 to 0.87 for NBA and TNB, respectively. For the carcass traits, the GEBV accuracies under the GBLUP model were higher than the realized GEBV accuracies across the breed populations, while for reproductive traits the realized accuracies were higher than the model based GEBV accuracies. Conclusion: The genomic prediction accuracy increased with reference population size and heritability of the trait. The GEBV accuracies were also influenced by GEBV estimation method, such that careful selection of animals based on the estimated GEBVs is needed. GEBV accuracy will increase with a larger sized reference population, which would be more beneficial for traits with low heritability such as reproductive traits.