• Journal of the Korean Institute of Gas
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• v.3 no.2 s.7
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• pp.34-42
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• 1999

The discrete variables such as time and sequence must be considered for automating HAZOP analysis of batch processes in contrast with continuous processes. Because these variables can not be explained by the method used in the HAZOP analysis of continuous processes, we have developed the methodology for HAZOP analysis of batch processes on the basis of the relation between discrete variables and continuous ones. In this study, we have discussed the performance of the methodology on a Latex batch process to evaluate its effectiveness.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05b
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• pp.927-930
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• 2003

Automated sequencer로부터 얻게된 서열은 PCR이나 sequencing의 영향 등으로 기존의 자료 또는 분자생물학자가 원하는 서열과는 조금씩 차이점을 나타내게 되고, 이를 보정하기 위해 수작업으로 처리하게 된다. 이는 아주 간단함 작업임에도 불구하고 30분에서 1시간, 많게는 몇 시간씩 걸리는 불편함을 감수하고 있다. 본 논문에서는 분자 생물학자들이 효율적으로 서열을 분석하게 하는 sequence finishing program의 구현에 관하여 논의하였다.

• YAKHAK HOEJI
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• v.43 no.6
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• pp.789-792
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• 1999

The complete nucleotide sequence of pKH4, a small multidrug resistance (smr) plasmid isolated from multidrug resistant Staphylococcus aureus SA5, was determined. Sequence analysis has revealed that pKH4 has two open reading frames for Rep and Smr proteins. The comparison of the amino acid sequence of Smr protein of pKH4 with those of other Smr proteins of various Staphylococcus showed that Smr protein of pKH4 is a new member of the SMR family.

• Journal of Life Science
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• v.9 no.2
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• pp.9-14
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• 1999

Pseudomonas iodinum IFO 3558 adenosine deaminase(ADA) gene was cloned by the polymerase chain reaction and deduced the amino acid sequence of the enzyme. DNA sequence homology of Pseudomonas iodinum IFO 3558 ADA gene was compared to those of E. coli, human and mouse ADA genes. Unambiguous sequence from both strands of pM21 was obtained for the region believed to encode ADA. The sequence included a 804-nucleotide open reading frame, bounded on one end by sense primer and on the other end by two antisense primer. This open reading frame encodes a protein of 268 amino acids having a molecular weight of 29,448. The deduced amino acid sequence shows considerable similarity to those of E. coli, mouse and human ADA. Pseudomonas iodinum IFO 3558 nucleotide sequence shows 98.5% homology with that of the E. coli ADA sequence and 51.7% homology with that of the mouse ADA sequence and 52.5% homology with that of the human ADA sequence. The ADA protein sequence of Pseudomonas iodinum IFO 3558 shows 96.9% homology with that of the E. coli and 40.7% homology with that of the mouse and 41.8% homology with that of the human. The distance between two of the conserved elements, TVHAGE and SL(1)NTDDP has veen exactly conserved at 76 amino acids for all four ADAs. Two of the four conserved sequence elements shared among the four ADAs are also present in the yeast, rat, human (M), and Human(L) AMP deaminase. The SLSTDDP sequence differs only in the conservative substitution of a serine for an asparagine. A conserved cysteine with conserved spacing between these two regions is also found. Thus, sequence analysis of four ADAs and four AMP deaminases revealed the presence of a highly conserved sequence motif, SLN(S)TDDP, a conserved dipeptide, HA, and a conserved cysteine residue.

• Journal of Korea Multimedia Society
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• v.7 no.3
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• pp.408-417
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• 2004

Genome analysis process requires several steps of various software analysis tools. We propose WGAT(Web-based Genome Analysis Tool), which combines several tools for gene analysis and provides a graphic user interface for users. Software tools related to gene analysis are based on Linux or Unix oriented program, which is difficult to install and use for biologists. Furthermore, files generated from gene analysis frequently require manual transformation for next step input file. Web-based tools which are recently developed process orily one sequence at a time. So it needs many repetitive processes to analyze large size data file. WGAT is developed to support Web-based genome analysis for easy use as well as fast service for users. Whole genome data analysis can be done by running WGAT on Linux server and giving sequence data files with various options. Therefore many steps of the analysis can be done automatically by the system. Simulation shows that WGAT method gives 20 times faster analysis when sequence segment is one thousand.

• Speech Sciences
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• v.15 no.3
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• pp.53-63
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• 2008

This paper examined the acoustic differences in English speech production between English native speakers and Korean learners. Korean speakers seem to produce errors by over-applying the Korean phonological rules(nasalization and lateralization) to English speech under the conditions comparable to those of Korean which contain nasal+lateral or lateral+nasal sequences. Being based on this prediction, the experimental data is grouped into three sets, [n]+[l] sequence, [l]+[n]sequence, and [m]+[l] sequence. The result shows that, Korean speakers usually nasalize or lateralize the target words or phrases in every three categories while English natives don't. In set A([n]+[l] sequence), both nasalization and lateralization were found in [n]+[l] sequence, the same circumstances where both nasalization and lateralization can be placed as in Korean. In the case of set B([l]+[n] sequence), only lateralization is observed. It is because the nasalization never occurs in the sequence of l-n in Korean. There is no lateralization in set C([m]+[l] sequence), because only nasalization occurs in the sequence of m-l in Korean. This results reconfirmed that the nasalization and lateralization rules in Korean deeply influence on the English production data. Korean speakers need to be taught not to over-apply Korean phonological rule to English production for accurate pronunciation.

• International Journal of Naval Architecture and Ocean Engineering
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• v.10 no.4
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• pp.450-457
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• 2018

The determination of assembly sequence in general mechanical assemblies plays an important role in terms of manufacturing cost, duration and quality. In the production of ships and offshore plants, the consideration of productivity factors and welding deformation is crucial in determining the optimal assembly sequence. In shipbuilding and offshore industries, most assembly sequence planning has been done according to engineers' decisions based on extensive experience. This may result in error-prone planning and sub-optimal sequence, especially when dealing with unfamiliar block assemblies composed of dozens of parts. This paper presents an assembly sequence planning method for block assemblies. The proposed method basically considers geometric characteristics of blocks to determine feasible assembly sequences, as well as assembly process and productivity factors. Then the assembly sequence with minimal welding deformation is selected based on simplified welding distortion analysis. The method is validated using an asymmetric assembly model and the results indicate that it is capable of generating an optimal assembly sequence.

• Journal of Internet Computing and Services
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• v.25 no.4
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• pp.47-56
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• 2024

This paper proposes a method for fine-tuning BERT-based natural language processing models to perform sentiment analysis on Korean review data. By varying the input sequence length during this process and comparing the performance, we aim to explore the optimal performance according to the input sequence length. For this purpose, text review data collected from the clothing shopping platform M was utilized. Through web scraping, review data was collected. During the data preprocessing stage, positive and negative satisfaction scores were recalibrated to improve the accuracy of the analysis. Specifically, the GPT-4 API was used to reset the labels to reflect the actual sentiment of the review texts, and data imbalance issues were addressed by adjusting the data to 6:4 ratio. The reviews on the clothing shopping platform averaged about 12 tokens in length, and to provide the optimal model suitable for this, five BERT-based pre-trained models were used in the modeling stage, focusing on input sequence length and memory usage for performance comparison. The experimental results indicated that an input sequence length of 64 generally exhibited the most appropriate performance and memory usage. In particular, the KcELECTRA model showed optimal performance and memory usage at an input sequence length of 64, achieving higher than 92% accuracy and reliability in sentiment analysis of Korean review data. Furthermore, by utilizing BERTopic, we provide a Korean review sentiment analysis process that classifies new incoming review data by category and extracts sentiment scores for each category using the final constructed model.

• Genomics & Informatics
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• v.6 no.1
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• pp.44-49
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• 2008

Protein kinase C (PKC) is a family of kinases involved in the transduction of cellular signals that promote lipid hydrolysis. PKC plays a pivotal role in mediating cellular responses to extracellular stimuli involved in proliferation, differentiation and apoptosis. Comparative analysis of the PKC-${\alpha},{\beta},{\varepsilon}$ isozymes of 200 recently sequenced microbial genomes was carried out using variety of bioinformatics tools. Diversity and evolution of PKC was determined by sequence alignment. The ser/thr protein kinases of Streptomyces coelicolor A3 (2), is the only bacteria to show sequence alignment score greater than 30% with all the three PKC isotypes in the sequence alignment. S.coelicolor is the subject of our interest because it is notable for the production of pharmaceutically useful compounds including anti-tumor agents, immunosupressants and over two-thirds of all natural antibiotics currently available. The comparative analysis of three human isotypes of PKC and Serine/threonine protein kinase of S.coelicolor was carried out and possible mechanism of action of PKC was derived. Our analysis indicates that Serine/ threonine protein kinase from S. coelicolor can be a good candidate for potent anti-tumor agent. The presence of three representative isotypes of the PKC super family in this organism helps us to understand the mechanism of PKC from evolutionary perspective.

• Journal of Microbiology
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• v.38 no.4
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• pp.230-238
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• 2000

Class III chitin synthases in filamentous fungi are important for hyphal growth and differentiation of several filamentous fungi. A genomic clone containing the full gene encoding Chs4, a class III chitin synthase in Penicillium chrysogenum, was cloned by PCR screening and colony hybridization from the genomic library. Nucleotide sequence analysis and transcript mapping of chs4 revealed an open reading frame (ORF) that consisted of 5 exons and 4 introns and encoded a putative protein of 915 amino acids. Nucleotide sequence analysis of the 5'flanking region of the ORF revealed a potential TATA box and several binding sites for transcription activators. The putative transcription initiation site at -716 position was identified by primer extension and the expression of the chs4 during the vegetative growth was confirmed by Northern blot analysis. Amino acid sequence analysis of the Chs4 revealed at least 5 transmembrane helices and several sites for past-transnational modifications. Comparison of the amino acid sequence of Chs4 with those of other fungi showed a close relationship between P chrysogenum and genus Aspergillus.