• 전자공학회논문지
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• 제53권6호
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• pp.15-20
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• 2016

OFDM 시스템을 위한 PAPR (peak-to-average power ratio) 저감 기법 중 하나인 SLM (selective mapping) 방식은 구현이 간단하고 전송 신호에 왜곡이 생기지 않는 매우 유용한 PAPR 저감 기법이다. 본 논문에서는 위상 신호에 대한 부가 정보(side information)를 전송하지 않는 SLM 기반 OFDM 시스템에 적용 가능한 동기식 위상 신호 검출 방식을 제시하고자 한다. 우선 동기식 합(coherent summation)에 기반하여 위상 신호를 검출할 수 있도록 하기 위해, 위상 신호의 일부를 직교 부호로 대치시키는 새로운 위상 신호 설계 방법을 제안한다. 또한 새로이 제안된 위상 신호에 기초하여 부가 정보가 필요 없는 동기식 위상 신호 검출 기준(detection criterion)을 제안한다. 컴퓨터 모의실험을 통해, 제안된 방식이 SLM 기반 OFDM 시스템에서 정상적으로 동작함을 보이고, 위상 신호 검출에 사용되는 부반송파 간 채널의 변화가 적은 환경에서 기존 방식보다 위상 신호 검출 성능이 우수함을 보이고자 한다.

• 전산구조공학
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• 제33권2호
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• pp.28-34
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• 2020

• Interdisciplinary Bio Central
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• 제4권4호
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• pp.14.1-14.6
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• 2012

Splice site prediction in DNA sequence is a basic search problem for finding exon/intron and intron/exon boundaries. Removing introns and then joining the exons together forms the mRNA sequence. These sequences are the input of the translation process. It is a necessary step in the central dogma of molecular biology. The main task of splice site prediction is to find out the exact GT and AG ended sequences. Then it identifies the true and false GT and AG ended sequences among those candidate sequences. In this paper, we survey research works on splice site prediction based on support vector machine (SVM). The basic difference between these research works is nucleotide encoding technique and SVM kernel selection. Some methods encode the DNA sequence in a sparse way whereas others encode in a probabilistic manner. The encoded sequences serve as input of SVM. The task of SVM is to classify them using its learning model. The accuracy of classification largely depends on the proper kernel selection for sequence data as well as a selection of kernel parameter. We observe each encoding technique and classify them according to their similarity. Then we discuss about kernel and their parameter selection. Our survey paper provides a basic understanding of encoding approaches and proper kernel selection of SVM for splice site prediction.

• 한국정보통신학회논문지
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• 제16권8호
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• pp.1686-1692
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• 2012

확산수열(spreading sequence)은 다중 반송파 대역확산(multi-carrier spectrum) 통신시스템과 CDMA와 같은 무선통신에서 중요한 역할을 한다. 이러한 통신 시스템에서 낮은 상호상관관계를 갖는 확산수열은 다중접속 충돌을 최소화하고, 시스템의 보안수준을 가능한 높일 수 있다. 수열을 설계하는 데 있어 상호상관관계를 분석한는 것을 반드시 필요한 절차이다. 상호상관관계를 분석하기 위해서는 많은 계산 시간이 요구된다. 본 논문에서는 비선형 이진수열의 상호상관관계를 실제적으로 계산하는 과정에서 부분체를 이용하여 효과적으로 구하는 방법을 제안한다.

• 한국통신학회논문지
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• 제14권2호
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• pp.137-145
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• 1989

本文에서는 變形된 bent函數를 利用하여 bent 器를 構成하였으며 實驗과 시뮬레이숀을 通하여 發生된 bent 系列은 週期 $2^n$-1, 最大相關函數 $2n/2$+1과 最大符號群을 $2n/2$個를 갖으며 要求하는 系列로 쉽게 初期化될 수 있어 한 符號에서 다른 符號로의 變換이 빠르게 이루어질 수 있음을 보였다. 그리고 DS-CDMA를 위한 同期시스템을 bent 符號發生器를 국부 符號發生器로 利用하고 sliding相關器와 DLL 方式을 각각 初期同期 시스템과 追跡同期 시스템으로 構成하였으며 符號同期에 對한 動作特性을 확인하였다.

• Macromolecular Research
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• 제17권8호
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• pp.597-602
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• 2009

Although the existing design principle of full-sequence ionic complement is convenient for the development of peptides, it greatly constrains the exploration of peptides with other possible assembly mechanisms and different yet essential functions. Herein, a novel designed half-sequence ionic complementary peptide (referred to as P9), AC-Pro-Ser-Phe-Asn-Phe-Lys-Phe-Glu-Pro-$NH_2$, is reported. When transferred from pure water to sodium chloride solution, P9 underwent a dramatic morphological transformation from globular aggregations to nanofibers. Moreover, the rheological experiment showed that the P9 could form a hydrogel with a storage modulus of about 30 Pa even at very low peptide concentration (0.5% (wt/vol)). The P9 hydrogel formed in salt solution could recover in a period of about 1,800 sec, which is faster than that in the pure water. The data suggestcd that the half-sequence, ionic complementary peptide might be worthy of further research for its special properties.

• International Journal of Computer Science & Network Security
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• 제21권12spc호
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• pp.526-538
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• 2021

Machine and deep learning-based models are emerging techniques that are being used to address prediction problems in biomedical data analysis. DNA sequence prediction is a critical problem that has attracted a great deal of attention in the biomedical domain. Machine and deep learning-based models have been shown to provide more accurate results when compared to conventional regression-based models. The prediction of the gene sequence that leads to cancerous diseases, such as prostate cancer, is crucial. Identifying the most important features in a gene sequence is a challenging task. Extracting the components of the gene sequence that can provide an insight into the types of mutation in the gene is of great importance as it will lead to effective drug design and the promotion of the new concept of personalised medicine. In this work, we extracted the exons in the prostate gene sequences that were used in the experiment. We built a Deep Neural Network (DNN) and Bi-directional Long-Short Term Memory (Bi-LSTM) model using a k-mer encoding for the DNA sequence and one-hot encoding for the class label. The models were evaluated using different classification metrics. Our experimental results show that DNN model prediction offers a training accuracy of 99 percent and validation accuracy of 96 percent. The bi-LSTM model also has a training accuracy of 95 percent and validation accuracy of 91 percent.

• Composites Research
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• 제20권1호
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• pp.1-7
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• 2007

본 논문에서는 골프클럽샤프트의 정적특성의 최적화 방법론을 제시하였다. 복합재료를 사용한 샤프트의 최적성능향상을 위한 쉬트 프리프레그의 적층순서를 구하였다. 클럽샤프트의 굽힘 강성과 비틀림 강성의 동시 최적화를 위하여 새로운 최적화 목적함수를 제시하였다. 샤프트의 정적특성 분석을 위하여 고전적층 이론을 적용하였으며 최적화 방법으로서 적층순서를 설계변수로 정의하는 유전알고리즘을 사용하였다. 또한 얻어진 최적적층순서를 바탕으로 한 샤프트의 동적특성을 분석하였다.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2005년도 춘계 학술발표대회 논문집
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• pp.218-219
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• 2005

• Structural Engineering and Mechanics
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• 제52권6호
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• pp.1157-1176
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• 2014

The objective of this research is to develop a practical design and assessment approach of steel frames with steel slit walls (SSWs) that focuses on the damage-control behavior to enhance the structural resilience. The yielding sequence of SSWs and frame components is found to be a critical issue for the damage-control behavior and the design of systems. The design concept is validated by the full-scale experiments presented in this paper. Based on a modified energy-balance model, a procedure for designing and assessing the system motivated by the framework regarding the equilibrium of the energy demand and the energy capacity is proposed. The damage-control spectra constructed by strength reduction factors calculated from single-degree-of-freedom systems considering the post stiffness are addressed. A quantitative damage-control index to evaluate the system is also derived. The applicability of the proposed approach is validated by the evaluation of example structures with nonlinear dynamic analyses. The observations regarding the structural response and the prediction during selected ground motions demonstrate that the proposed approach can be applied to damage-control design and assessment of systems with satisfactory accuracy.