• 한국작물학회지
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• 제58권2호
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• pp.119-127
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• 2013

The interaction between Agrobacterium and soybean has been studied at the transcriptome level but not at the metabolic level. However, it is necessary to investigate the difference in metabolites between susceptible and non-susceptible cultivars for high efficiency transformation. We investigated the difference in metabolites from sonicated soybean cotyledons of Korean cultivars and Bert cultivar. To identify difference in metabolites, sonicated extracts were analysed by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR/MS). The soybean cultivars were classified by susceptibility using green fluorescent protein expression. We found a difference in metabolites between the high susceptible and low susceptible cultivars. The FT-ICR/MS experimental m/z data of different metabolites were compared with theoretical m/z in KNApSAcK database. The candidate list was made using KNApSAcK and focused on phenolic compounds. These candidate metabolites are speculated to influence factors in the interaction. This list of candidates may be useful to investigate the interaction between Agrobacterium and plants to increase transformation efficiency.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권7호
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• pp.3018-3038
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• 2020

In the stereoscopic or multiview display, the depth video illustrates visual distances between objects and camera. To promote the computational efficiency of depth video encoder, we exploit the intra prediction of depth videos under Versatile Video Coding (VVC) and observe a diverse distribution of intra prediction modes with different coding unit sizes. We propose a hybrid scheme to further boost fast depth video coding. In the first stage, we adaptively predict the HADamard (HAD) costs of intra prediction modes and initialize a candidate list according to the HAD costs. Then, the candidate list is further improved by considering the probability distribution of candidate modes with different CU sizes. Finally, early termination of CU splitting is performed at each CU depth level based on the Bayesian theorem. Our proposed method is incorporated into VVC intra prediction for fast coding of depth videos. Experiments with 7 standard sequences and 4 Quantization parameters (Qps) validate the efficiency of our method.

• 한국통신학회논문지
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• 제34권6C호
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• pp.642-648
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• 2009

본 논문에서는 LRA (Lattice Reduction-Aided) 검출 기법에서 격자 감소를 위하여 주로 사용되어 오던 LLL(Lenstra-Lenstra-Lovasz)을 대신하여 SA (Seysen Algorithm)를 이용함으로써, 복잡도의 감소와 함께 성능 향상을 이루었다. 이러한 성능향상에도 불구하고 여전히 존재하는 SA-LRA 검출 기법과 ML 검출과의 성능 차이를 줄이기 위하여 list of candidates 기법을 SA-LRA 검출 기법에 적용하였다. List of candidates 기법은 송신 신호 벡터가 될 수 있는 후보들의 리스트를 구성하여, 이 중 최소의 유클리디안 거리 (Euclidean Distance)를 가지는 후보를 송신 신호 벡터로 추정하는 기법이다. 모의실험 결과는 이 기법을 통하여 SA-LRA 검출 기법이 ML 검출과 유사한 성능을 가질 수 있음을 보이고 또한, SA를 통하여 채널 행렬이 보다 더 직교성을 가지게 되는 것을 보인다.

• 대한임베디드공학회논문지
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• 제10권3호
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• pp.165-170
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• 2015

SNOMED CT browser is a browsing tool for searching clinical terms in SNOMED CT which is a standard terminology set used worldwide. The search result view of previous browsers merely list up candidate terminologies. The problem is that most of users become confused about how to select an appropriate term from the list. This leads serious waste of medical recoding cost. This paper discusses characteristics of SNOMED CT dataset and proposes a novel design of enhanced result view by restructuring the results using relationships of SNOMED CT concepts. Using the proposed scheme, medical doctors or officers can select appropriate terms more efficiently and can reduce overall recording time.

• 대한인간공학회지
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• 제20권2호
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• pp.1-28
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• 2001

This paper deals with the selection of the important Influencing Factors (IFs) under accident management situations in nuclear power plants for use in the assessment of human errors. In order to achieve this goal, we collected two types of IF taxonomies, one is the full set IF list mainly developed for human error analysis. and the other is the IFs for human reliability analysis (HRA) in probabilistic safety assessment (PSA). Five sets of IF taxonomy among the full set IF list and ten sets of IF taxonomy among HRA methodologies were collected in the study. From the review and analysis of BRA IFs, we could obtain some insights for the selection of HRA IFs. By considering the situational characteristics of the accident management domain, candidate IFs are chosen. Finally, those IFs are structured hierarchically to be appropriate for the use in the assessment of human error under accident management situation. Three nuclear accidents such as TMI. Chernobyl and JCO were analysed to validate the proposed taxonomy.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제10권1호
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• pp.19-24
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• 2010

The rise of music resources has led to a parallel rise in the need to manage thousands of songs on user devices. So users have a tendency to build playlist for manage songs. However the manual selection of songs for creating playlist is a troublesome work. This paper proposes an auto playlist generation system considering user context of use and preferences. This system has two separated systems; 1) the mood and emotion classification system and 2) the music recommendation system. Firstly, users need to choose just one seed song for reflecting their context of use. Then system recommends candidate song list before the current song ends in order to fill up user playlist. User also can remove unsatisfied songs from the recommended song list to adapt the user preference model on the system for the next song list. The generated playlists show well defined mood and emotion of music and provide songs that the preference of the current user is reflected.

• Journal of information and communication convergence engineering
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• 제21권2호
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• pp.117-129
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• 2023

High-utility itemset mining (HIUM) has emerged as a key data-mining paradigm for object-of-interest identification and recommendation systems that serve as frequent itemset identification tools, product or service recommendation systems, etc. Recently, it has gained widespread attention owing to its increasing role in business intelligence, top-N recommendation, and other enterprise solutions. Despite the increasing significance and the inability to provide swift and more accurate predictions, most at-hand solutions, including frequent itemset mining, HUIM, and high average- and fast high-utility itemset mining, are limited to coping with real-time enterprise demands. Moreover, complex computations and high memory exhaustion limit their scalability as enterprise solutions. To address these limitations, this study proposes a model to extract high-utility frequent closed itemsets based on an improved cumulative summary list structure (CSLFC-HUIM) to reduce an optimal set of candidate items in the search space. Moreover, it employs the lift score as the minimum threshold, called the cumulative utility threshold, to prune the search space optimal set of itemsets in a nested-list structure that improves computational time, costs, and memory exhaustion. Simulations over different datasets revealed that the proposed CSLFC-HUIM model outperforms other existing methods, such as closed- and frequent closed-HUIM variants, in terms of execution time and memory consumption, making it suitable for different mined items and allied intelligence of business goals.

• 한국통신학회논문지
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• 제38C권11호
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• pp.1051-1059
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• 2013

논문에서는 부호화된 MIMO 시스템에서 연판정 반복 검출 방식과 결합하여 효율적으로 사용될 수 있는 복잡도가 감소된 리스트 구 복호 (list sphere decoding; LSD) 방식을 제안한다. 기존의 LSD 방식은 고정된 값의 반지름을 이용하여 후보 신호들을 검색하였다. 그러나, 정해진 수 만큼의 후보 리스트들이 모두 채워지면, 이들에 대한 최대 또는 평균 반지름은 줄어들 가능성이 매우 크다. 반지름을 줄이게 되면 복잡도 또한 줄일 수 있게 된다. 본 논문에서는 LSD 기반의 MIMO 검출 시스템에서 효율적으로 사용될 수 있는 매우 간단한 반지름 갱신 방식 및 이를 이용한 연판정 반복 MIMO 검출 기법을 제안한다. 또한 터보 부호를 이용하여, 연판정 입출력을 이용하는 반복 MIMO 검출 방식에 대한 성능 평가 결과를 제시한다. 본 논문에서 제시된 시뮬레이션 결과에 따르면, 제안된 방식은 기존의 LSD 방식을 사용하는 것에 비해 거의 유사한 비트오류율 성능을 유지하면서도 복잡도를 크게 감소시킬 수 있다.

• Genomics & Informatics
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• 제14권4호
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• pp.211-215
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• 2016

The alteration of alternative splicing patterns has an effect on the quantification of functional proteins, leading to phenotype variation. The splicing quantitative trait locus (sQTL) is one of the main genetic elements affecting splicing patterns. Here, we report the results of genome-wide sQTLs across 141 strains of Arabidopsis thaliana with publicly available next generation sequencing datasets. As a result, we found 1,694 candidate sQTLs in Arabidopsis thaliana at a false discovery rate of 0.01. Furthermore, among the candidate sQTLs, we found 25 sQTLs that overlapped with the list of previously examined trait-associated single nucleotide polymorphisms (SNPs). In summary, this sQTL analysis provides new insight into genetic elements affecting alternative splicing patterns in Arabidopsis thaliana and the mechanism of previously reported trait-associated SNPs.

• Asia pacific journal of information systems
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• 제9권4호
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• pp.181-201
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• 1999

This study presents an information security level index and a quantification scheme. A comprehensive survey on previous researches in information security checklists has been performed. A candidate indicator list for information security level has been developed, Desirability of each indicator has been tested by 4 criteria, They are general validity, relative importance, probability of accident and impact of accident. 67 experts' opinion has been collected and analysed. The result shows that selected indicators are a very good candidate set for the determination of information security level. A factor analysis shows indicators are well structured. There exists strong correlation between validity and probability, validity and impact, and importance and probability. A quantification scheme of information security index has been developed by experts' judgement and statistical tests.