• 제목/요약/키워드: NETs

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서해구 자원관리형 자망 · 통발 어구어법 기술개발에 관한 연구 - 피뿔고동 Rapane venosa 통발의 망목선택성 - (Study on the Improvement of Gill Nets and Trap Nets Fishing for the Resource Management at the Coastal Area of Yellow Sea - Mesh Selectivity of Trap Nets for Purple Shell, Rapane venosa -)

  • 장호영;조봉곤;박종수;신종근
    • 수산해양기술연구
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    • 제40권3호
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    • pp.176-181
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    • 2004
  • 피뿔고동(통칭 소라) 통발의 망목선택성 및 적정 망목을 추정하기 위하여 2003년 6월 27일${\sim}$6월 29일까지 전북 군산시 말도 인근 해역에서 시험조업을 실시하였다. 시험어구는 망목 35mm, 50mm 및 65mm의 3종류의 그물감을 씌운 통발을 교호로 각각 70개씩 210개를 1개조로 구성하여 2개조를 사용하였으며, 망목선택성 곡선의 분석에는 Kitahara(1968)의 방법을 이용하였다. 그 결과를 요약하면 다음과 같다. 1. 피뿔고동 통발의 시험조업 결과 총어획미수는 1,682마리였으며, 피뿔고동 1,268마리 (75.4%), 배꼽고동 225마리 (13.4%), 쥐노래미 113마리 (6.7%), 기타 76마리 (4.5%) 등이었다. 2. 피뿔고동의 최대 각고/망목(max. 1/m)의 값은 1.79로 추정되었다. 3. 50% 선택구간에 대한 각고/망목(max. 1/m)의 값은 1.79로 추정되었다. 3. 50% 선택구간에 대한 각고/망목(1/m)의 값은 1.24${\sim}$2.72으로 추정되었으며, 그 선택폭은 1.48이었다. 4. 피뿔고동의 어획금지체장(각고) 50mm에 대한 적정 망목은 40.3mm로 추정되었으며, 피뿔고동의 50% 선택각고 범위는 50.0${\sim}$109.6mm로 나타났다.

인적자원관리 분야의 지식표현체계에 관한 연구 (A Study on Knowledge Representation Schemes for Use in Human Resource Management Problem Domains)

  • 변대호
    • Asia pacific journal of information systems
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    • 제7권1호
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    • pp.85-97
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    • 1997
  • This paper is concerned with knowledge representation schemes best suited for human resource management (HRM) problem domains including human resource planing, selection, placement, compensations, performance evaluation, training and labor-management relations. In order to suggest the scheme we consider two research gods. First, we evaluate and prioritize. The knowledge representation techniques of frames rules, semantic nets and predicate logic that hove been recommended to managerial domains. The combined Analytic Hierarchy Process technique is employed to combine individual judgments effectively between two different expert groups. As a result if we are to select a single knowledge representation technique, a frame representation is best for most HRM domains and to combine frames with others is another choice. Second as a strategy for knowledge representation schemes we show some examples for each damn in terms of labeled semantic nets and two types of rules derived from the semantic nets. We propose nine knowledge components as ontologies. The labeled semantic nets con provide some benefits compared with conventional one. More clearly definea node rode information maces it easy to find the ac information. In the rule sets, the variables are the node of the semantic nets. The consistency of rules is validated by the relationship of the knowledge components.

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정치망뜸과 부표형 코우너 리프렉터의 레이다 최대심지거이에 대한 연구 (A Study on the Radar Maximum Detectable Range of the Floats of Set-nets and the Floating Corner Reflector)

  • 신형일
    • 한국항해학회지
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    • 제1권1호
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    • pp.17-26
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    • 1977
  • A large number of the set-nets are set in Namhaedo coast of Korea. The floats of these set-nets are not only small even in case of large floats but also they scarcely have distinguishable marks such as light buoys or flags, so that they are very hard to be recognized by naked eyes and thus became probable obstacles to navigation for the passing ships and the fishing vessels. In order to research the capability of detecting such nets with Radar, the author investigated a maximum detectable range of the ordinarly large floatsand of a floating corner reflectors of various size and shape by Radar. The results obtained are as follows; 1. A maximum detectable range of large floats at a close range can be calculated by the Radar equation in sufficient accuracy. 2. Large floats of the large set-nets are also detectable by Radar even though it's detectable range boundary was within 0.2-0.65 miles. And the Radar picture of large floats was easier to be found with somewhat higher setting of the gain control on shorter range scale of the 1 mile. 3. Floating corner reflector rather suitable for set-net floats of "S" type reflector proposed in this paper, of which the dimension must be above 17cm in diameter to be detectable by Radar at 2 miles.t 2 miles.

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Advances in the Management of Unresectable or Metastatic Pancreatic Neuroendocrine Tumors: Chemotherapy, Targeted Therapy, Hormonal Treatment, and Future Directions

  • Bilici, Ahmet
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권6호
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    • pp.2151-2159
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    • 2015
  • Pancreatic neuroendocrine tumors (pNETs) are rare and heterogenous tumors and surgery to remove the primary tumor is the mainstay of treatment for resectable disease. However, curative surgery is often not feasible, because half of patients with pNET have metastases at the time of diagnosis. Palliative dubulking surgery and liver-directed therapies are appropriate options for these patients. Streptozocin-based regimens are standard, although temozolamide-based treatments are rapidly gaining wide clinical application. Somatostatin analogs are mainly indicated in hormonally active tumors to ameliorate symptoms. In addition, anti-tumoral activity has been proven in well-differentiated NETs. Recently, there has been tremendous progress in the molecular biology of pNETs; thereby, the efficacy of sunitinib and everolimus in the treatment of patients with metastatic pNETs has been proven by large placebo-controlled phase III trials. Currently, there are no definitively proven predictive biomarkers to evaluate response to medical therapies in patients with pNET. Therefore, further studies are needed to individualize and optimize their management. This article reviews systemic chemotherapy, targeted therapies, and anti-secretory treatments for the management of patients with unresectable or metastatic pNETs, summarized in the light of recent advances.

도시 구조물 분류를 위한 3차원 점 군의 구형 특징 표현과 심층 신뢰 신경망 기반의 환경 형상 학습 (Spherical Signature Description of 3D Point Cloud and Environmental Feature Learning based on Deep Belief Nets for Urban Structure Classification)

  • 이세진;김동현
    • 로봇학회논문지
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    • 제11권3호
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    • pp.115-126
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    • 2016
  • This paper suggests the method of the spherical signature description of 3D point clouds taken from the laser range scanner on the ground vehicle. Based on the spherical signature description of each point, the extractor of significant environmental features is learned by the Deep Belief Nets for the urban structure classification. Arbitrary point among the 3D point cloud can represents its signature in its sky surface by using several neighborhood points. The unit spherical surface centered on that point can be considered to accumulate the evidence of each angular tessellation. According to a kind of point area such as wall, ground, tree, car, and so on, the results of spherical signature description look so different each other. These data can be applied into the Deep Belief Nets, which is one of the Deep Neural Networks, for learning the environmental feature extractor. With this learned feature extractor, 3D points can be classified due to its urban structures well. Experimental results prove that the proposed method based on the spherical signature description and the Deep Belief Nets is suitable for the mobile robots in terms of the classification accuracy.

중량값이 정밀수준망에 미치는 영향 (Effect of the Weight in Precise Levelling Net)

  • 이석찬;조규전;최병길
    • 한국측량학회지
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    • 제7권1호
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    • pp.11-18
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    • 1989
  • 한 나라의 정밀수준망을 구성, 완성하는데는 다양한 장비 및 기술, 오랜 시간이 요구되므로 각각의 측정값에는 각종 오차가 내포되어있다. 따라서 정확한 수준망을 구성하기 위하여는 각각의 수준측량값에 대하여 그 정확도에 상응하는 중량값을 주어야 한다. 본 연구는 수준측대의 오차전파모델로부터 중량값을 추정하고 이를 우리나라 1등수준측량 데이타에 적용시켜봄으로써 적합한 중량함수를 구하고자 하는데 그 목적을 두었으며 아울러 우리나라 1등수준측량에 대한 오차분석을 실시하여 좀더 정확한 수준망을 구성하고자 하였다. 연구결과 우리나라와 같이 비교적 큰 정오차가 내포된 수준망에서는 중량함수 W=1/L보다 W=1/$L^2$의 경우가 더 효과적임을 알 수 있었다.

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초등학생을 위한 NetsBlox를 활용한 CT-CPS기반 프로그래밍 수업 설계 (Design of CT-CPS Based Programming Lesson Using NetsBlox for Elementary School Students)

  • 이승철;김태영
    • 한국컴퓨터교육학회 학술대회
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    • 한국컴퓨터교육학회 2018년도 하계학술대회
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    • pp.3-6
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    • 2018
  • 2015 개정 교육과정에 따라 2019년 3월부터 초등학교 5~6학년 학생을 대상으로 소프트웨어 교육이 실시된다. 궁극적인 소프트웨어 교육의 목표는 컴퓨팅 사고력을 갖춘 창의 융합형 인재를 양성하는 것이다. 이를 위해 초등학교에서는 알고리즘과 프로그래밍의 체험을 통해 소프트웨어 기초 소양을 함양하는 것을 목표로 한다. 이러한 컴퓨팅 사고력을 수업에 효과적으로 적용하기 위해 전용주(2017)는 소프트웨어 및 컴퓨팅에 관련된 사고과정과 원리를 실생활의 소재와 관련지어 창의적이고 능동적으로 그 해결방안을 구현해가는 과정으로 제시할 수 있는 수업 구성 원리인 CT-CPS 수업 모형을 개발하였다. 또한 교육부는 2015 개정 교육과정 실시 전, 소프트웨어 교육을 위한 선도학교를 전국에 지정하여 운영하였다. 선도학교에서의 소프트웨어 교육과정을 분석한 결과 주로 컴퓨팅 사고력의 구성요소 중 알고리즘과 자동화에 초점이 맞춰져 있었다. 엔트리와 스크래치와 같은 블록 프로그래밍 도구를 사용한 코딩교육과 로봇교육을 주로 실시했고, 실제 문제에 대한 학생들이 자료를 직접 다루는 시간은 찾아보기 힘들었다. 컴퓨팅사고력 향상을 위해서는 학생들이 실제 자료를 수집, 분석, 표현해보는 활동이 반드시 필요하다. 이에 본 연구에서 NetsBlox을 활용하고자 한다. NetsBlox는 학생들에게 익숙한 블록형 프로그래밍 도구로 실제 데이터를 온라인상에서 쉽게 받아와서 수집, 분석, 표현을 하게 도와주는 역할을 한다. 따라서 본 연구에서는 초등학생을 위한 NetsBlox를 활용한 CT-CPS기반 프로그래밍 수업을 설계하고자 한다.

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추이적 행렬을 이용한 사이폰 감지 정책 (A Policy to Find All Siphons using Transitive Matrix)

  • 김외영;이종근
    • 한국시뮬레이션학회논문지
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    • 제19권4호
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    • pp.67-75
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    • 2010
  • 교착이란 일반적으로 병행과 자원공유 모듈에 의한 서브 시스템에서 발생한다. 사이폰과 트랩은 패트리 넷의 교착 상태를 잘 나타낸다. 사이폰은 많은 연구자들에게 교착을 감지하고 방지하는데 사용되어진 개념이다. 그러나 모든 사이폰 서브넷을 감지하는데는 많은 시간과 노력이 필요하다. 추이적 행렬은 플레이스와 트랜지션간의 관계를 표현하므로 추이적 행렬과의 관계를 분석하여 모든 사이폰 서브 넷을 감지하는 알고리즘을 제안한다. 또한 제안한 알고리즘의 성능을 사례를 들어 검증한다.

Endoscopic treatment for rectal neuroendocrine tumor: which method is better?

  • Seung Min Hong;Dong Hoon Baek
    • Clinical Endoscopy
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    • 제55권4호
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    • pp.496-506
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    • 2022
  • Recently, research on rectal neuroendocrine tumors (NETs) has increased during the last few decades. Rectal NETs measuring <10 mm without atypical features and confined to the submucosal layer have only 1% risk of metastasis, and the long-term survival probability of patients without metastasis at the time of diagnosis is approximately 100%. Therefore, the current guidelines suggest endoscopic resection of rectal NETs of <10 mm is regarded as a safe therapeutic option. However, there are currently no clear recommendations for technique selection for endoscopic resection. The choice of treatment modality for rectal NETs should be based on the lesion size, endoscopic characteristics, grade of differentiation, depth of vertical involvement, lymphovascular invasion, and risk of metastasis. Moreover, the complete resection rate, complications, and experience at the center should be considered. Modified endoscopic mucosal resection is the most suitable resection method for rectal NETs of <10 mm, because it is an effective and safe technique that is relatively simple and less time-consuming compared with endoscopic submucosal dissection. Endoscopic submucosal dissection should be considered when the tumor size is >10 mm, suctioning is not possible due to fibrosis in the lesion, or when the snaring for modified endoscopic mucosal resection does not work well.

Improve the stability of high resistance badminton net via reinforced light material: Development of industry and sport economy

  • Qiong Wu;Yi Sun;Wanxing Yin
    • Advances in nano research
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    • 제17권2호
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    • pp.167-179
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    • 2024
  • This study investigates the stability and performance of high-resistance badminton nets through the integration of reinforced lightweight materials. By focusing on the structural and economic impacts, the research aims to enhance both the durability and practicality of badminton nets in professional and recreational settings. Using a combination of advanced material engineering techniques and economic analysis, we explore the development of nets constructed from innovative composites. These composites offer improved resistance to environmental factors, such as weather conditions, while maintaining lightweight properties for ease of installation and use. The study employs high-order shear deformation theory and high-order nonlocal theory to assess the mechanical behavior and stability of the nets. Partial differential equations derived from energy-based methodologies are solved using the Generalized Differential Quadrature Method (GDQM), providing detailed insights into the thermal buckling characteristics and overall performance. The findings demonstrate significant improvements in net stability and longevity, highlighting the potential for broader applications in both the sports equipment industry and related economic sectors. By bridging the gap between material science and practical implementation, this research contributes to the advancement of high-performance sports equipment and supports the growth of the sport economy.