• 제목/요약/키워드: combining ability

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가상현실 기반 MRI 교육 콘텐츠 학습효과 분석 (Analysis of Learning Effects MRI Education Content based on Virtual Reality)

  • 이정훈;심재구
    • 한국방사선학회논문지
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    • 제17권5호
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    • pp.775-782
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    • 2023
  • 본 연구는 대학에서 고가의 장비로 MRI 기계를 설치, 관리 및 운영에 현실적인 한계를 극복하고자 가상현실(VR)을 자기공명영상장치에 접목하여 콘텐츠를 개발 및 활용하여 가상현실(VR) 체험 교육을 실시하고 향후 의료기관에서도 실제 검사와 유사한 실습을 제공하는 임상 기반 교육용 체험 시스템 개발을 진행하였다. 가상현실 기반 교육용 시스템을 체험한 학생을 대상으로 설문을 진행하여 체험 중 발생할 수 있는 부작용을 파악한 후 교육을 전혀 경험하지 못한 학생들을 대상으로 자기주도학습 능력 및 학업적 자기효능감 조사를 실시하여 가상현실 기반 실습이 학습에 미치는 영향을 분석하였다. 자기주도학습 능력 조사에 대한 분석에서는 교육을 경험한 학생 집단과 경험하지 않은 학생 집단 간의 평균에 차이가 없었으나, 학업적 자기효능감을 분석한 결과에서는 집단별 평균에 유의한 차이가 있었으며, 가상현실 교육 시스템 체험 후 자기평가에서 자기공명영상 학습에 대한 자신감이 향상되었다. 가상현실 기반의 실습 교육을 진행할 경우 새로운 학습방법 제공 및 시간과 공간에 구애받지 않고 언제 어디서나 반복될 수 있는 교육의 기회도 제공할 수 있어 효율적인 실습 시스템을 제공할 수 있을 것으로 사료된다.

성 감별 유전자를 도입한 다산계계통 신품종 육종에 관한 연구 II. 우량 교배조합 선발 시험 (Breeding of New Synthetic Egg Production Line in Domestic Chicken by Introducing Sex Linked Gene II. Selection of Superior Lines from Cross Breeding)

  • 오봉국;손시환;조윤연
    • 한국가금학회지
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    • 제20권1호
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    • pp.1-9
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    • 1993
  • 본 연구는 반성 은색유전자(S:silver gene)를 도입하여 성 감별용 산난종계 계통으로 육성하여 이를 모계통으로 이용함으로서 깃털에 의한 자웅감별이 가능할 뿐만 아니라 잡종강세(heterosis)를 이용한 우수실용계 (commercial chicken)를 작출하고자 수행되었다. 시험은 암수감별용 계통으로 조성된 계통을 이용하여 1차년도에는 생산능력이 우수한 계통으로 육종하기 위해 폐쇄군 육종방법 (colosed flock breeding)을 사용하였고, 2차년도에서는 새로 조성된 계통을 활용하여 실용계 작출을 위한 우량 교배조합 선발을 실시하였다. 합성종 계통의 상업용 실용계로서의 산난능력 검정을 위한 교잡시험에서 B$\times$A, B$\times$C 교잡구와 외국도계 2계통, 그리고 국산계 2계통을 대조구로 삼아 56주령까지의 일반능력을 비교한 결과 생존율, 체중 등에 있어서는 교잡구와 대조구간에 차이를 발견하기 못하였다. 산란능력에 있어 초산체령은 170일 전후로 Manina White의 153일을 제외하고는 약 10여일 지연되었으나, 시험구간에 차이는 없었다. 산난지수는 B$\times$A, B$\times$C 교잡구가 각각 186.3, 191.3으로 외국도입계인 ISA 계통보다는 낮았지만 다른 대조구보다는 양호하였다. 산난율의 경우 교잡구가 각각 75.7%, 76.8%로서 ISA계통을 제외한 다른 대조구에 비해 높았고 난중에 있어서는 B$\times$C 교잡구가 64.5g으로 가장 높게 나타났다. 한편, 초생추들은 깃털색에 의해 완전하게 자웅감별이 가능함에 따라(99%) 이미 조성된 합성종의 유전적 조성이 고정되었음을 알 수 있었다. 이상으로 교잡시험의 결과를 살펴볼 때 B$\times$A, B$\times$C 교잡구의 산난능력은 다른 외국 도입계와 국산계에 비해 결코 떨어지지 않는다고 결론지을 수 있다. 결과적으로 본 시험을 통하여 암수감별용 계통으로 조성된 합성종의 능력은 우수하였으며 앞으로 산난계 개량에 매우 유용하게 이용될 것으로 생각된다.

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Synthesis of Nanoporous Structured SnO2 and its Photocatalytic Ability for Bisphenol A Destruction

  • Kim, Ji-Eun;Lee, Jun-Sung;Kang, Mi-Sook
    • Bulletin of the Korean Chemical Society
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    • 제32권5호
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    • pp.1715-1720
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    • 2011
  • Nanoporous structured tin dioxide ($SnO_2$) is characterized and its application in the photocatalytic destruction of endocrine, Bisphenol A, is examined. Transmission electron microscopy (TEM) reveals irregularly shaped nanopores of size 2.0-4.5 nm. This corresponds to the result of an average nanopore distribution of 4.5 nm, as determined by Barret-Joyner-Halenda (BJH) plot from the isotherm curve. The photoluminescence (PL) curve, corresponding to the recombination between electron and hole, largely decreases in the $TiO_2$/nanoporous $SnO_2$ composite. Finally, a synergy effect between $TiO_2$ and porous $SnO_2$ is exhibited in photocatalysis: the photocatalytic destruction of Bisphenol A is improved by combining the nanoporous structured $SnO_2$ with $TiO_2$, and 75% decomposition of 10.0 ppm of Bisphenol A is achieved after 24 h.

빅데이터로부터 추출된 주변 환경 컨텍스트를 반영한 딥러닝 기반 거리 안전도 점수 예측 모델 (A Deep Learning-based Streetscapes Safety Score Prediction Model using Environmental Context from Big Data)

  • 이기인;강행봉
    • 한국멀티미디어학회논문지
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    • 제20권8호
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    • pp.1282-1290
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    • 2017
  • Since the mitigation of fear of crime significantly enhances the consumptions in a city, studies focusing on urban safety analysis have received much attention as means of revitalizing the local economy. In addition, with the development of computer vision and machine learning technologies, efficient and automated analysis methods have been developed. Previous studies have used global features to predict the safety of cities, yet this method has limited ability in accurately predicting abstract information such as safety assessments. Therefore we used a Convolutional Context Neural Network (CCNN) that considered "context" as a decision criterion to accurately predict safety of cities. CCNN model is constructed by combining a stacked auto encoder with a fully connected network to find the context and use it in the CNN model to predict the score. We analyzed the RMSE and correlation of SVR, Alexnet, and Sharing models to compare with the performance of CCNN model. Our results indicate that our model has much better RMSE and Pearson/Spearman correlation coefficient.

생물방제균 Bfacillus subtilis YB-70의 외부 Urease 유전자 도입과 길항력 증강

  • 최종규;김용수;이은탁;김상달
    • 한국미생물·생명공학회지
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    • 제25권1호
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    • pp.30-36
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    • 1997
  • To genetically breed powerful multifunctional antagonistic bacteria, the urease gene of alkalophilic Bacillus pasteurii was transferred into Bacillus subtilis YB-70 which had been selected as a powerful biocontrol agent against root-rotting fungus Fusarium solani. Urease gene was inserted into the HindIII site of pGB215-110 and designated pGU266. The plasmid pGU266 containing urease gene was introduced into the B. subtilis YB-70 by alkali cation transformation system and the urease gene was very stably expressed in the transformant of B. subtilis YB-70(pGU266). The optimal conditions for the transfomation were also evaluated. From the in vitro antibiosis tests against F. solani, the antifungal activity of B. subtilis YB-70 containing urease gene was much efficient than that of the non-transformed strain. Genetic improvement of B. subtilis YB-70 by transfer of urease gene for the efficient control seemed to be responsible for enhanced plant growth and biocontrol efficacy by combining its astibiotic action and ammonia producing ability.

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Random generator-controlled backpropagation neural network to predicting plasma process data

  • Kim, Sungmo;Kim, Sebum;Kim, Byungwhan
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.599-602
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    • 2003
  • A new technique is presented to construct predictive models of plasma etch processes. This was accomplished by combining a backpropagation neural network (BPNN) and a random generator (RC). The RG played a critical role to control neuron gradients in the hidden layer, The predictive model constructed in this way is referred to as a randomized BPNN (RG-BPNN). The proposed scheme was evaluated with a set of experimental plasma etch process data. The etch process was characterized by a 2$^3$ full factorial experiment. The etch responses modeled are 4, including aluminum (Al) etch rate, profile angle, Al selectivity, and do bias. Additional test data were prepared to evaluate model appropriateness. The performance of RC-BPNN was evaluated as a function of the number of hidden neurons and the range of gradient. for given range and hidden neurons, 100 sets of random neuron gradients were generated and among them one best set was selected for evaluation. Compared to the conventional BPNN, the proposed RC-BPNN demonstrated about 50% improvements in all comparisons. This illustrates that the RG-BPNN of multi-valued gradients is an effective way to considerably improve the predictive ability of current BPNN of single-valued gradient.

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스마트폰 카메라에서 다중 영상을 이용한 영상 잡음 제거 알고리즘 (An Image Denoising Algorithm Using Multiple Images for Mobile Smartphone Cameras)

  • 김성운
    • 한국전자통신학회논문지
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    • 제9권10호
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    • pp.1189-1195
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    • 2014
  • 본 연구에서는 동일한 환경에서 스마트폰 카메라에서 촬영한 여러 장의 영상들로부터 얻을 수 있는 정보를 활용하여 영상 잡음을 효과적으로 제거할 수 있는 알고리즘을 개발한다. 이를 위해 스마트폰의 제한된 연산능력에 맞는 다중 영상 정합(registration) 알고리즘을 개발하고, 다중 영상들의 정보들을 조합하여 효과적으로 영상 잡음을 제거하는 방법을 제시한다. 제시한 알고리즘을 정량적으로 잡음 제거 성능을 측정하기 위해 PSNR 값으로 비교 시 단일 영상을 이용할 때보다 훨씬 향상된 PSNR 값 향상을 가져왔다. 실제 안드로이드 스마트폰에 해당 알고리즘을 개발하여, 실제 사용 가능한 수준의 영상 처리 속도로 만족할만한 잡음 제거 효과를 얻을 수 있음을 확인하였다.

Multi Parameter Design in AIML Framework for Balinese Calendar Knowledge Access

  • Sukarsa, I Made;Buana, Putu Wira;Yogantara, Urip
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권1호
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    • pp.114-130
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    • 2020
  • Balinese calendar is defined as a unique calendar system for combining solar-based and lunar-based system and assuming local system. It is considered as guidance of Balinese societies' activities management, starting from meeting arrangement, wedding ceremony, to religious ceremonies. Practically, it has developed in the form of printed Balinese calendar and electronic Balinese calendar, either web or mobile application. The core of the function is to find out the day with its various characteristics in the Balinese Calendar. In general, society usually asks the religious leader to find out the day in detail. The technology of NLP combined with models of pattern discoveries supports the arrangement of the interaction model in searching the good day in Balinese Calendar to equip the conventional searching system in the previous applications. This study will design a dialog model with AIML method in multi-parameter basis; therefore, the users will be dynamically able to use the searching content in various ways by chatting in similar with consulting to a religious leader. This model will be applied in a chatbot basis service in telegram machine. The addition of the context recognition section into 4 paterns has been successfully improve the ability of AIML to recognize input patterns with many criteria. Based on the testing with 50 random input patterns obtained a success rate of 92.5%.

Enzymatic Hydrolysis for Effective Extraction of Antioxidative Compounds from Hizikia fusiformis

  • Siriwardhana, Nalin;Jeon, You-Jin;Kim, Soo-Hyun;Ha, Jin-Hwan;Heo, Soo-Jin;Lee, Ki-Wan
    • ALGAE
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    • 제19권1호
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    • pp.59-68
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    • 2004
  • Hizikia fusiformis hydroysates by five carbohydrases (Viscozyme, Celluclast, Termamyl and Ultraflo) and five proteases (Protamex, Kojizyme, Neutrase, Flavourzyme and Alcalase) were investigated for their extraction efficacy (yield and total total polyphenolic content) and antioxidative activity (DPPH radical and hydrogen peroxide scavenging activity). Termamyl and Ultraflo of the carbohydrases and Flavourzyme and Alcalase of proteases were selected by their high eficacy of extraction and antioxidative activity. Selected enzymes were used to investigate the optimum enzymatic reaction time and dosage (enzyme/substrate ratio) suitable for hydorolysis. Optimum reaction time for the enzymatic hydrolysis was 3 days and optimum dosage of hydrolysis was observed as 5%. Simultaneously, Ultraflo of the two carbohydrases and Alcalse of the two proteases were selected as the most effective enzymes. Combination of Ultraflo and Alcalase under optimum hydrolysis conditions could intensify the extraction efficacy of antioxidative materials form H. fusiformis. The hydrolysate obtained by combining the enzymes was separated into four different molecular weight fractions (<1kD, 1-10 kD, 10-30 kD and >30 kD) and recorded the polyphenolic content distribution and respective antioxidative ability. The fraction <1kD was identified as less effective and those fractions > 1kD indicated comparatively higher antioxidative activities related to their polyphenolic content.

Breeding of a New Silkworm Variety, Kumhwangjam, with a Sex-Limited Cocoon Color for Spring Rearing Season

  • Kang, Pil Don;Sohn, Bong Hee;Lee, Sang Uk;Kim, Mi Ja;Jung, I Yeon;Kim, Young Soon;Kim, Yung Dae;Lee, Heui Sam
    • International Journal of Industrial Entomology and Biomaterials
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    • 제9권1호
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    • pp.89-93
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    • 2004
  • A new silkworm variety, Kumhwangjam, with a sex-limited cocoon color for spring rearing season is F$_1$ hybrid between Jam 309, a Japanese race bred from Y1/9153, and Jam 310, a Chinese race from Y1/8586. In the local adaptability test performed at 8 local areas in spring rearing season of 2003, major characteristics of Kumhwangjam were mainly similar to those of the check variety Kumokjam. The new silkworm variety, Kumhwangjam, showed a sex-limited cocoon color: yellow for female and white for male with elliptical cocoon shape. This sex-limited cocoon color can be used as a valuable marker for discrimination between female and male for various purposes.