• Smart Structures and Systems
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• 제25권6호
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• pp.765-778
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• 2020

The present study intends to find a proper solution for the estimation of the physical behaviors of enlarged piles through a combination of small-scale laboratory tests and a hybrid computational predictive intelligence process. In the first step, experimental program is completed considering various critical influential factors. The results of the best multilayer perceptron (MLP)-based predictive network was implemented through three mathematical-based solutions of dragonfly algorithm (DA), whale optimization algorithm (WOA), and ant lion optimization (ALO). Three proposed models, after convergence analysis, suggested excellent performance. These analyses varied based on neurons number (e.g., in the basis MLP hidden layer) and of course, the level of its complexity. The training R² results of the best hybrid structure of DA-MLP, WOA-MLP, and ALO-MLP were 0.996, 0.996, and 0.998 where the testing R² was 0.995, 0.985, and 0.998, respectively. Similarly, the training RMSE of 0.046, 0.051, and 0.034 were obtained for the training and testing datasets of DA-MLP, WOA-MLP, and ALO-MLP techniques, while the testing RMSE of 0.088, 0.053, and 0.053, respectively. This obtained result demonstrates the excellent prediction from the optimized structure of the proposed models if only population sensitivity analysis performs. Indeed, the ALO-MLP was slightly better than WOA-MLP and DA-MLP methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.2018-2043
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• 2022

Nowadays, COVID-19 infections are influencing our daily lives which have spread globally. The major symptoms' of COVID-19 are dry cough, sore throat, and fever which in turn to critical complications like multi organs failure, acute respiratory distress syndrome, etc. Therefore, to hinder the spread of COVID-19, a Computerized Doughty Predictor Framework (CDPF) is developed to yield benefits in monitoring the progression of disease from Chest CT images which will reduce the mortality rates significantly. The proposed framework CDPF employs Convolutional Neural Network (CNN) as a feature extractor to extract the features from CT images. Subsequently, the extracted features are fed into the Adaptive Dragonfly Algorithm (ADA) to extract the most significant features which will smoothly drive the diagnosing of the COVID and Non-COVID cases with the support of Doughty Learners (DL). This paper uses the publicly available SARS-CoV-2 and Github COVID CT dataset which contains 2482 and 812 CT images with two class labels COVID⁺ and COVI^-. The performance of CDPF is evaluated against existing state of art approaches, which shows the superiority of CDPF with the diagnosis accuracy of about 99.76%.

• 환경생물
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• 제27권3호
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• pp.292-296
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• 2009

본 연구는 한국의 멸종위기곤충인 꼬마잠자리 알의 발육과 온도의 관계를 추정하고자 8가지 서로 다른 온도 조건(17, 20, 22, 25, 28, 30, 33 및 $36^{\circ}C$)에서 실시하였다. 꼬마잠자리의 알은 2007년 6월 경상북도 문경시 일대의 산간 습지에 서식하는 암컷 성충으로부터 채취하였다. 실험의 결과, 부화율은 17, 20, 22, 25, 28, 30, 33, 그리고 $36^{\circ}C$에서 각각 2.86, 17.09, 24.32, 39.67, 34.43, 40.57, 44.79 및 1.75%였다. 각 온도에서의 알의 발달율(평균발육속도)은 변형된 Sharpe와 DeMichele의 비선형 모형에 부합하였다. 알의 저온발육임계온도는 $14.02^{\circ}C$(y=0.005988x-0.084, $r^2$=0.99)로 추정되었고, 발육최적온도는 $30{\sim}35^{\circ}C$로 추정되었다.

• International Journal of Industrial Entomology and Biomaterials
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• 제35권1호
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• pp.51-57
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• 2017

The tiny dragonfly, Nannophya pygmaea (Odonata: Libellulidae), is an endangered insect in South Korea. Previously, a partial mitochondrial DNA sequence that corresponded to a DNA barcoding region has been used to infer genetic diversity and gene flow. In this study, we additionally sequenced the barcoding region from N. pygmaea that had been collected from three previously sampled populations (40 individuals) and these sequences were combined with the preexisting data. We also selected and sequenced an additional mitochondrial gene (ND5) to find further variable gene regions in the mitochondrial genome. DNA barcoding sequences of 108 individuals from five South Korean localities showed that genetic diversity was highest in Gangjin, Jeollanam-do Province. Muuido, which was previously occupied by a single haplotype, was also found to have an identical haplotype, which confirmed the low genetic diversity on this islet. Gene flow among populations is highly limited, and no clear distance- or region-based geographic partitioning was observed. Phylogenetic relationships among haplotypes showed that there were no discernable haplotypes in South Korea. ND5 provided slightly more haplotypes compared to the barcoding region in 40 individuals (14 vs. 10 haplotypes in the COI gene). It also had a slightly higher within-locality diversity estimate, which suggested that ND5 had potential as mitochondrial DNA-based marker for population genetic analysis.

• 생태와환경
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• 제48권4호
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• pp.272-279
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• 2015

The aim of this study was to assess the interaction between Daphnia similis and various organisms related to the rice paddy ecosystem. We selected several organisms that are likely to prey on D. similis and evaluate predation rate as well as responses of D. similis to the chemical compounds exuded by these organisms. As a result of predation experiment, larval dragonfly (Anax parthenope) and Triops longicaudatus were clearly shown decreasing abundances of D. similis. Especially, Triops longicaudatus was observed higher feeding rates on D. similis than larval dragonfly. Chemical compounds from the vertebrates such as fish (Misgurnus anguillicaudatus, Pseudorasbora parva, Micropterus salmoides) and tadpole of frog (Rana nigromaculata) did not affect the life history of Daphnia. However, a potential predatory fish P. parva induced significantly longer tail spine in Daphnia. In addition, among the invertebrates (T. longicaudatus, A. Parthenope, Micronecta spp., Palaemon paucidens), chemical compounds exuded by T. longicaudatus induced shorter body and significantly longer tail spine in D. similis.

• 한국환경생태학회지
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• 제33권1호
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• pp.16-27
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• 2019

습지의존종이면서 습지생태계의 질적 변화를 파악할 수 있는 지표종인 잠자리목의 조사 시기를 제안하고자 산청군내 7개소의 인공습지를 대상으로 2015년 5월부터 2016년 10월까지 2주 간격으로 총 29회에 걸쳐 잠자리 종과 개체수를 조사하였다. 1~3월과 11월, 12월에는 잠자리목이 관찰되지 않아 조사 시기에서 제외하였다. 군집을 분류한 결과, 4~6월, 6~8월, 9~10월이 각각 다른 군으로 분류되었으나 4월, 6월, 10월의 경우 강우, 기온 등의 영향으로 연도별 변화가 예상되어 조사 시기를 대표할 수 없었다. 따라서 온대 지역의 잠자리 조사 시기에는 5월, 7~8월, 9월이 필수적으로 포함되어야 할 것으로 판단되었다. 종의 변화는 봄철에는 참실잠자리, 등검은실잠자리가, 여름철에는 고추잠자리, 등검은실잠자리, 먹줄왕잠자리, 배치레잠자리, 큰밀잠자리 등이, 가을에는 큰청실잠자리, 흰얼굴좀잠자리 등의 출현빈도가 높아지는 경향을 나타내었다.

• 한국가시화정보학회:학술대회논문집
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• 한국가시화정보학회 2004년도 추계학술대회 논문집
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• pp.14-17
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• 2004

A purpose of this visual experiment is to investigate the effect of reduced frequency qualitatively by examining wake pattern change for insect flying motion. Insect is composed of two pair wing with forewing and hindwing, flying motion of insect is performed pitching and plunging so it makes a separation over the wings. The separation affects at the wake pattern and changed wake pattern has an influence on lift, drag and propulsion. This experiment is conducted by using a smoke wire technique and a camera is fixed at hindwing to take a photograph of wake. An electronic device is mounted below test section to find exact the mean positional angle of wing. The reduced frequency in experiment is 0.15, 0.3 and 0.45. We obtained the result which that reduced frequency is closely related to wake pattern that determines flight efficiency.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (B)
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• pp.218-222
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• 2006

우수한 능력의 인공지능 개체로 구성된 게임은 그렇지 못한 게임에 비해 더 나은 흥미를 사용자에게 제공할 수 있다. 미국 Valve사의 Half-Life, Counter-Strike 및 한국 Dragonfly사의 Special-Force와 같은 실시간 FPS 전투게임에서 상대편에 대한 검색 및 목표 화하는(Targeting) 기법은 인공개체의 전투력에 중요한 하나의 요소이다. 하지만 이 같은 경우의Targeting은 정적인 대상에 대한 것이 아니라 동적인 대상에 대한 것이므로 단순한 산술 계산으로는 실용적인 효과를 내기 힘들다. 본 논문에서는 Neural Network를 이용한 학습기법을 사용하여 동적인 개체에 대한 효과적인 Targeting기법을 제안한다. 제안한 기법은 매 순간 변화하는 상황정보와 Virtual bullet이라는 가상 미사일 개념을 활용하여 학습 Data를 모델링한 후 Neural Network로 학습시켜 효과적인 Targeting이 가능하도록 구현하였다. 제안한 기법은 Java기반의 탱크전투 시뮬레이션 Framework인 Robocode에 적용하여 그 성능을 평가하였다. 제안된 기법으로 제작된 Robot(Crystal 1.0)은 ‘2006 Robocode Korea Cup에서 우승을 차지하였다.

• ETRI Journal
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• 제37권4호
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• pp.667-676
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• 2015

The third-party FFT IP cores available in today's markets do not provide the desired speed demands for optical communication. This study deals with the design and implementation of a 256-point Radix-4 100 Gbit/s FFT, where computational steps are reconsidered and optimized for high-speed applications, such as radar and fiber optics. Alternative methods for FFT implementation are investigated and Radix-4 is decided to be the optimal solution for our fully parallel FPGA application. The algorithms that we will implement during the development phase are to be tested on a Xilinx Virtex-6 FPGA platform. The proposed FFT core has a fully parallel architecture with a latency of nine clocks, and the target clock rate is 312.5 MHz.

• 농촌계획
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• 제15권1호
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• pp.15-29
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• 2009

Owing to the industrialization, the urbanization and cultivation abandonment actual condition, the most abandoned farmlands increased. Those results have occurred inefficient land use and destruction of agricultural ecosystem with the secondary succession. The research for the abandoned farmlands of Korea is fundamental phase. Also, the researches to restore abandoned farmlands are something yet to develop and not established the restoration for ecological value of abandoned farmlands. The objective of research revealed the ecological functions of abandoned farmlands and it presented an application plan. The research method divided in the literature and case study. Using abandoned farmlands, Japan government tries to create the ecological parks for the conservation of a vulnerable plant species, dragonfly biotope, environmental education and research, etc. Accordingly, the goal for the abandoned farmlands coulds be set suitably to Korean situation as of Japanese styles which are characterized by man-made biotopes.