• 제목/요약/키워드: Multimodal methods

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Multimodal 함수 최적화를 위한 Niching 유전 알고리즘에 대한 연구 (A Study on Niching Genetic Algorithm for Multimodal Function Optimization)

  • 이철균;조동혁;정현교
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 A
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    • pp.76-78
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    • 1998
  • Niching methods extend genetic algorithms to domains that require the location of multiple solutions. But, current niching methods have some of drawbacks in the ability of search and preservation of solutions. So, this paper presents a new technique, named as Restricted Competition Selection(RCS). Then, RCS method is compared with sharing and deterministic crowding by applying to some multimodal problems in order to verify that it has more favorable properties.

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A Study on the Selection of Means of Transportation in International Logistics

  • Kim, Jin-Hwan
    • 동아시아경상학회지
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    • 제10권2호
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    • pp.55-69
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    • 2022
  • Purpose - This study is a study to investigate the problem of the selection of means of transportation in international logistics by studying the basics of logistics activities, selection factors of transportation methods, and multimodal transportation. Research design, data, methodology - This study is composed of 5 chapters through literature study. Chapter 1 describes the functions and transportation system of international logistics, Chapter 2 selects transportation, Chapter 3 deals with maritime transportation and multimodal transportation, Chapter 4 describes multimodal transportation in terms of customer service, Chapter 5 addresses the implications and conclusions. Results - When looking at the problem of selecting a means of transportation, it is important that the parties involved in the transportation choose which means of transportation for their convenience and profit during the transportation process. Here, there will be factors to consider, including transportation cost, when selecting a means of transportation, and each means of transportation may have characteristics or advantages and disadvantages. Considering all these points, the adoption of multimodal transportation from a customer service point of view may be the answer. Conclusions - This study pays attention to the academic understanding related to the selection of means of transportation and to how usefully this thesis can be used in the selection of transportation related persons, especially shippers, from a practical level.

멀티모달 방식을 통한 가스 종류 인식 딥러닝 모델 개발 (Development of Gas Type Identification Deep-learning Model through Multimodal Method)

  • 안서희;김경영;김동주
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제12권12호
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    • pp.525-534
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    • 2023
  • 가스 누출 감지 시스템은 가스의 폭발성과 독성으로 인한 인명 피해를 최소화할 핵심적인 장치이다. 누출 감지 시스템은 대부분 단일 센서를 활용한 방식으로, 가스 센서나 열화상 카메라를 통한 검출 방식으로 진행되고 있다. 이러한 단일 센서 활용의 가스 누출감지 시스템 성능을 고도화하기 위하여, 본 연구에서는 가스 센서와 열화상 이미지 데이터에 멀티모달형 딥러닝을 적용한 연구를 소개한다. 멀티모달 공인 데이터셋인 MultimodalGasData를 통해 기존 논문과의 성능을 비교하였고, 가스 센서와 열화상 카메라의 단일모달 모델을 기반하여 네 가지 멀티모달 모델을 설계 및 학습하였다. 이를 통해 가스 센서와 열화상 카메라는 각각 1D CNN, GasNet 모델이 96.3%와 96.4%의 가장 높은 성능을 보였다. 앞선 두 단일모달 모델을 기반한 Early Fusion 형식의 멀티모달 모델 성능은 99.3%로 가장 높았으며, 또한 기존 논문의 멀티모달 모델 대비 3.3% 높았다. 본 연구의 높은 신뢰성을 갖춘 가스 누출 감지 시스템을 통해 가스 누출로 인한 추가적인 피해가 최소화되길 기대한다.

특징 강화 방법의 앙상블을 이용한 화자 식별 (Speaker Identification Using an Ensemble of Feature Enhancement Methods)

  • 양일호;김민석;소병민;김명재;유하진
    • 말소리와 음성과학
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    • 제3권2호
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    • pp.71-78
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    • 2011
  • In this paper, we propose an approach which constructs classifier ensembles of various channel compensation and feature enhancement methods. CMN and CMVN are used as channel compensation methods. PCA, kernel PCA, greedy kernel PCA, and kernel multimodal discriminant analysis are used as feature enhancement methods. The proposed ensemble system is constructed with the combination of 15 classifiers which include three channel compensation methods (including 'without compensation') and five feature enhancement methods (including 'without enhancement'). Experimental results show that the proposed ensemble system gives highest average speaker identification rate in various environments (channels, noises, and sessions).

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The Effectiveness of Additional Treatment Modalities after the Failure of Recanalization by Thrombectomy Alone in Acute Vertebrobasilar Arterial Occlusion

  • Kim, Seong Mook;Sohn, Sung-Il;Hong, Jeong-Ho;Chang, Hyuk-Won;Lee, Chang-Young;Kim, Chang-Hyun
    • Journal of Korean Neurosurgical Society
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    • 제58권5호
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    • pp.419-425
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    • 2015
  • Objective : Acute vertebrobasilar artery occlusion (AVBAO) is a devastating disease with a high mortality rate. One of the most important factors affecting favorable clinical outcome is early recanalization. Mechanical thrombectomy is an emerging treatment strategy for achieving a high recanalization rates. However, thrombectomy alone can be insufficient to complete recanalization, especially for acute stroke involving large artery atheromatous disease. The purpose of this study is to investigate the safety and efficacy of mechanical thrombectomy in AVBAO. Methods : Fourteen consecutive patients with AVBAO were treated with mechanical thrombectomy. Additional multimodal treatments were intra-arterial (IA) thrombolysis, balloon angioplasty, or permanent stent placement. Recanalization by thrombectomy alone and multimodal treatments were assessed by the Thrombolysis in Cerebral Infarction (TICI) score. Clinical outcome was determined using the National Institutes of Health Stroke Scale (NIHSS) at 7 days and the modified Rankin Scale (mRS) at 3 months. Results : Thrombectomy alone and multimodal treatments were performed in 10 patients (71.4%) and 4 patients (28.6%), respectively. Successful recanalization (TICI 2b-3) was achieved in 11 (78.6%). Among these 11 patients, 3 (27.3%) underwent multimodal treatment due to underlying atherosclerotic stenosis. Ten (71.4%) of the 14 showed NIHSS score improvement of >10. Overall mortality was 3 (21.4%) of 14. Conclusion : We suggest that mechanical thrombectomy is safe and effective for improving recanalization rates in AVBAO, with low complication rates. Also, in carefully selected patients after the failure of recanalization by thrombectomy alone, additional multimodal treatment such as IA thrombolysis, balloons, or stents can be needed to achieve successful recanalization.

무지 외반증 수술에서 관절 주위 다중 약물 국소 투여 시 Morphine의 유용성 (Usefulness of Morphine in the Periarticular Multimodal Drug Local Injection after Surgery for Hallux Valgus)

  • 조재호;최홍준;김유미;김재영;왕배건;이우천
    • 대한족부족관절학회지
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    • 제17권2호
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    • pp.93-99
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    • 2013
  • Purpose: Proximal metatarsal chevron osteotomy for hallux valgus is followed by significant amount of postoperative pain. Periarticular multimodal drug local injection can be an option for pain control. This study was attempted to evaluate the efficacy of the morphine as multimodal drug and to confirm the effect of periarticular multimodal drug local injection on controlling early postoperative pain. Materials and Methods: Between March 2012 and June 2012, 22 patients received proximal metatarsal chevron osteotomy for the correction of hallux valgus deformity. 10 patients (Group A) received periarticular injection of the test solution made with morphine, ropivacaine, ephinephrine and ketorolac. 12 patients (Group B) received periarticular injection of the test solution without morphine. The visual analog scale (VAS) was checked at 2, 4, 6, 8 hours, 1 day and 2 days each after surgery. Results: The VAS score at postoperative 2 hours to 1 day between two groups showed no significant difference, but the VAS score at postoperative 2 days was significantly higher in Group A compared to the VAS score of group B. The amount of additional pain control (tramadol HCL) between two groups showed no significant difference for 3 days after surgery. Conclusion: Periarticular multimodal drug local injection was effective in reducing pain after hallux valgus surgery regardless of mixing with morphine.

A Parallel Genetic Algorithms with Diversity Controlled Migration and its Applicability to Multimodal Function Optimization

  • YAMAMOTO, Fujio;ARAKI, Tomoyuki
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.629-633
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    • 1998
  • Proposed here is a parallel genetic algorithm accompanied with intermittent migration among subpopulations. It is intended to maintain diversity in the population for a long period . This method was applied to finding out the global maximum of some multimodal functions for which no other methods seem to be useful . Preferable results and their detailed analysis are also presented.

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다봉성 함수의 최적화를 위한 향상된 유전알고리듬의 제안 (An Enhanced Genetic Algorithm for Optimization of Multimodal Function)

  • 김영찬;양보석
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2000년도 춘계학술대회 학술발표 논문집
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    • pp.241-244
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    • 2000
  • The optimization method based on an enhanced genetic algorithms is proposed for multimodal function optimization in this paper This method is consisted of two main steps. The first step is global search step using the genetic algorithm(GA) and function assurance criterion(FAC). The belonging of an population to initial solution group is decided according to the FAC. The second step is to decide resemblance between individuals and research optimum solutions by single point method in reconstructive research space. Two numerical examples are also presented in this paper to comparing with conventional methods.

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The influence of learning style in understanding analogies and 2D animations in embryology course

  • Narayanan, Suresh;Ananthy, Vimala
    • Anatomy and Cell Biology
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    • 제51권4호
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    • pp.260-265
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    • 2018
  • Undergraduate students struggle to comprehend embryology because of its dynamic nature. Studies have recommended using a combination of teaching methods to match the student's learning style. But there has been no study to describe the effect of such teaching strategy over the different types of learners. In the present study, an attempt has been made to teach embryology using the combination of analogies and simple 2D animations made with Microsoft powerpoint software. The objective of the study is to estimate the difference in academic improvement and perception scale between the different types of learners after introducing analogies and 2D animation in a lecture environment. Based on Visual, Aural, Read/Write, and Kinesthetic (VARK) scoring system the learners were grouped into unimodal and multimodal learners. There was significant improvement in post-test score among the unimodal (P<0.001) and multimodal learners (P<0.001). When the post-test score was compared between the two groups, the multimodal learners performed better the unimodal learners (P=0.018). But there was no difference in the perception of animations and analogies and long-term assessment between the groups. The multimodal learners performed better than unimodal learners in short term recollection, but in long term retention of knowledge the varied learning style didn't influence its outcome.

향상된 유전알고리듬과 Simplex method을 이용한 다봉성 함수의 최적화 (Optimization of Multimodal Function Using An Enhanced Genetic Algorithm and Simplex Method)

  • 김영찬;양보석
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2000년도 추계학술대회논문집
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    • pp.587-592
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    • 2000
  • The optimization method based on an enhanced genetic algorithms is proposed for multimodal function optimization in this paper. This method is consisted of two main steps. The first step is global search step using the genetic algorithm(GA) and function assurance criterion(FAC). The belonging of an population to initial solution group is decided according to the FAC. The second step is to decide the similarity between individuals, and to research the optimum solutions by simplex method in reconstructive search space. Two numerical examples are also presented in this paper to comparing with conventional methods.

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