• 제목/요약/키워드: Collaborative ability

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Undergraduate courses for enhancing design ability in naval architecture

  • Lee, Kyu-Yeul;Ku, Namkug;Cha, Ju-Hwan
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제5권3호
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    • pp.364-375
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    • 2013
  • Contemporary lectures in undergraduate engineering courses typically focus on teaching major technical knowledge-based theories in a limited time. Therefore, most lectures do not allow the students to gain understanding of how the theories are applied, especially in Naval Architecture and Ocean Engineering departments. Shipyards require students to acquire practical ship design skills in undergraduate courses. To meet this requirement, two lectures are organized by the authors; namely, "Planning Procedure of Naval Architecture & Ocean Engineering" (PNAOE) and "Innovative Ship Design" (ISD). The concept of project-based and collaborative learning is applied in these two lectures. In the PNAOE lecture, sophomores receive instruction in the designing and building of model ships, and the students' work is evaluated in a model ship contest. This curriculum enables students to understand the concepts of ship design and production. In the ISD lecture, seniors learn how to develop their creative ideas about ship design and communicate with members of group. They are encouraged to cooperate with others and understand the ship design process. In the capstone design course, students receive guidance to facilitate understanding of how the knowledge from their sophomore or junior classes, such as fluid mechanics, statics, and dynamics, can be applied to practical ship design. Students are also encouraged to compete in the ship design contest organized by the Society of Naval Architects of Korea. Moreover, the effectiveness of project-based and collaborative learning for enhancing interest in the shipbuilding Industry and understanding the ship design process is demonstrated by citing the PNAOE and ISD lectures as examples.

엔트리 프로그래밍 언어를 활용한 협력적 이야기 생성하기 활동의 교육적 효과 (Educational Effects of Collaborative Story Creation Activities Using the Entry Programming Language)

  • 서현석;정영식
    • 정보교육학회논문지
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    • 제22권6호
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    • pp.651-660
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    • 2018
  • 본 연구에서는 엔트리 프로그래밍 언어를 활용한 협력적 이야기 생성하기 활동의 교육적 효과를 분석하기 위해 교육대학교 1학년을 대상으로 약 3주간 강의를 실시하고, 학생들의 SW교육 역량과 이야기 생성 능력의 변화를 분석하였다. 그 결과, 정보 소양 능력이나 컴퓨팅 사고력, 학습자 역량 등 학생들의 SW 교육 역량에는 큰 변화가 없었지만, 이야기 생성 능력은 통계적으로 유의미하게 향상되었다. 학생들은 글쓰기와 함께 엔트리 프로그래밍 언어를 동시에 배워야 한다는 부담감을 느꼈지만, 점차 이야기 생성하기 활동에 대한 흥미가 생겼으며, 융합 활동 과제가 여러 측면에서 유용했음이 파악되었다. 향후 학생의 교과 역량뿐만 아니라 SW교육 역량을 동시에 향상시키기 위해서는 학습 시간을 충분히 확보하여, 엔트리 교육 활동과 함께 다양한 교과 연계 활동이 필요하다.

Network Anomaly Traffic Detection Using WGAN-CNN-BiLSTM in Big Data Cloud-Edge Collaborative Computing Environment

  • Yue Wang
    • Journal of Information Processing Systems
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    • 제20권3호
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    • pp.375-390
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    • 2024
  • Edge computing architecture has effectively alleviated the computing pressure on cloud platforms, reduced network bandwidth consumption, and improved the quality of service for user experience; however, it has also introduced new security issues. Existing anomaly detection methods in big data scenarios with cloud-edge computing collaboration face several challenges, such as sample imbalance, difficulty in dealing with complex network traffic attacks, and difficulty in effectively training large-scale data or overly complex deep-learning network models. A lightweight deep-learning model was proposed to address these challenges. First, normalization on the user side was used to preprocess the traffic data. On the edge side, a trained Wasserstein generative adversarial network (WGAN) was used to supplement the data samples, which effectively alleviates the imbalance issue of a few types of samples while occupying a small amount of edge-computing resources. Finally, a trained lightweight deep learning network model is deployed on the edge side, and the preprocessed and expanded local data are used to fine-tune the trained model. This ensures that the data of each edge node are more consistent with the local characteristics, effectively improving the system's detection ability. In the designed lightweight deep learning network model, two sets of convolutional pooling layers of convolutional neural networks (CNN) were used to extract spatial features. The bidirectional long short-term memory network (BiLSTM) was used to collect time sequence features, and the weight of traffic features was adjusted through the attention mechanism, improving the model's ability to identify abnormal traffic features. The proposed model was experimentally demonstrated using the NSL-KDD, UNSW-NB15, and CIC-ISD2018 datasets. The accuracies of the proposed model on the three datasets were as high as 0.974, 0.925, and 0.953, respectively, showing superior accuracy to other comparative models. The proposed lightweight deep learning network model has good application prospects for anomaly traffic detection in cloud-edge collaborative computing architectures.

PBL을 적용한 사서교사와 중국어 교과교사의 협력수업 사례 연구 - S고등학교 학생의 학습흥미도 변화를 중심으로 - (A Case Study of Collaborative Classes between a Teacher Librarian and a Chinese Language Teacher Applying Problem-based Learning: With a Main Focus on Students' Degree of Interest in Learning at S High School)

  • 조미아
    • 한국문헌정보학회지
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    • 제48권2호
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    • pp.65-88
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    • 2014
  • 본 연구는 PBL을 적용한 사서교사와 중국어 교과교사 협력으로 이루어진 수업의 사례를 분석하고 학교도서관에서 PBL에 의한 협력 수업을 운영할 때 바람직한 수업의 방향을 제시하기 위한 의도로 이루어졌다. 이러한 목적을 이루기 위하여 인문계 S고등학교 도서관에서 이루어진 PBL 문제 제시 방법, 차시별 수업 내용, 학생 결과물의 사례 등을 제시하였다. 또한 PBL 수업에 참여했던 고등학교 2학년 학생 101명을 대상으로 교과 흥미에 대한 분석을 수행한 결과, PBL에 참여한 후에 학생들의 학습관련 성취욕, 학습 실행력, 흥미가 유의미하게 향상된 것으로 나타났다.

Graphene accelerates osteoblast attachment and biomineralization

  • Ren, Jia;Zhang, Xiaogang;Chen, Yao
    • Carbon letters
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    • 제22권
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    • pp.42-47
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    • 2017
  • In this paper, the in vitro biocompatibility of graphene film (GF) with osteoblasts was evaluated through cell adhesion, viability, alkaline phosphatase activity, F-actin and vinculin expressions, versus graphite paper as a reference material. The results showed that MG-63 cells exhibited stronger cell adhesion, better proliferation and viability on GF, and osteoblasts cultured on GF exhibited vinculin expression throughout the cell body. The rougher and wrinkled surface morphology, higher elastic modulus and easy out-of-plane deformation associated with GF were considered to promote cell adhesion. Also, the biomineralization of GF was assessed by soaking in simulated body fluid, and the GF exhibited enhanced mineralization ability in terms of mineral deposition, which almost pervaded the entire GF surface. Our results suggest that graphene promotes cell adhesion, activity and the formation of bone-like apatite. This research is expected to facilitate a better understanding of graphene-cell interactions and potential applications of graphene as a promising toughening nanofiller in bioceramics used in load-bearing implants.

과학적 가시화를 위한 증강 협업 환경 디자인에 관한 연구 (Designing Amplified Collaboration Environments for Scientific Visualization)

  • 박경신
    • 정보처리학회논문지B
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    • 제12B권5호
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    • pp.535-542
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    • 2005
  • 증강 협업 환경은 지리적으로 떨어진 그룹과 그룹간의 사용자들이 함께 어려운 문제를 풀 수 있도록 도와주는 다수의 디스플레이를 활용하는 작업 환경이다. 본 논문은 실시간 협력 작업 환경의 특징적인 공유 작업 공간 모델을 살펴본다 그리고 과학적 가시화를 위한 증강 협업 환경의 공유 작업 공간 모델을 검증하는 반복적인 디자인 실험연구를 설명하고 있다 이 연구에서 원거리 사용자들의 협업을 향상시키기 위한 증강 협업 환경의 디스플레이 기술 설정을 바꿔가며 사용자 평가 실험이 진행되었다. 각 실험에서 두 개의 방에 두 명씩 분산된 그룹들에게 협업 가시화를 이용한 집중적인 분석 작업을 시켰다. 그 결과 다른 사람들의 작업 내용을 쉽게 볼 수 있는 고화질 작업환경의 항시 가시성이 분산된 구성원들 간의 상호 인지도와 협력에 도움이 되어 협업 능률을 향상시켰다.

Effects of the 4C Core Competencies on Work Ability among Dental Hygienists

  • Kim, Do-Young;Jang, Kyeung-Ae
    • 치위생과학회지
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    • 제19권4호
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    • pp.220-227
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    • 2019
  • Background: This descriptive study aimed to examine the relationship between the 4C core competencies and work ability among dental hygienists. Methods: From November 2018 to January 2019, data were collected-from 190 dental hygienists workong in dental clinics in Busan, Ulsan, and Gyeongsangnam province using structured questionnaires. For the general characteristics of the dental hygienists, frequency and percentage were calculated, and the level of the 4C core competencies and work ability of dental hygienists was calculated using means and standard deviations. A multiple regression analysis was conducted to analyze the effects of the 4C core competencies on work ability. Results: The mean scores for the 4C core competency levels of the dental hygienists were as follows: communication ability 3.34, critical thinking ability 3.41, creative problem-solving 3.40, and collaborative self-efficacy 3.27. Meanwhile the mean score for work ability level was 3.65. The predictive factors influencing work ability were communication ability and cooperative self-efficacy (p<0.001), and the sub-factors of critical thinking ability that affect work ability were sound conferences (p<0.01), intellectual fairness (p<0.05), intellectual enthusiasm (p<0.05), and self-confidence (p<0.001). Finally, the sub-factors of creative problem-solving ability that affect work ability were planning and execution (p<0.01) and performance evaluation (p<0.05). Conclusion: The current study showed that education programs covering the core competencies of dental hygienists, rather than the existing theoretical education program, should be developed and implemented to enhance 4C core competencies that affect work ability.

A Novel Hybrid Intelligence Algorithm for Solving Combinatorial Optimization Problems

  • Deng, Wu;Chen, Han;Li, He
    • Journal of Computing Science and Engineering
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    • 제8권4호
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    • pp.199-206
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    • 2014
  • The ant colony optimization (ACO) algorithm is a new heuristic algorithm that offers good robustness and searching ability. With in-depth exploration, the ACO algorithm exhibits slow convergence speed, and yields local optimization solutions. Based on analysis of the ACO algorithm and the genetic algorithm, we propose a novel hybrid genetic ant colony optimization (NHGAO) algorithm that integrates multi-population strategy, collaborative strategy, genetic strategy, and ant colony strategy, to avoid the premature phenomenon, dynamically balance the global search ability and local search ability, and accelerate the convergence speed. We select the traveling salesman problem to demonstrate the validity and feasibility of the NHGAO algorithm for solving complex optimization problems. The simulation experiment results show that the proposed NHGAO algorithm can obtain the global optimal solution, achieve self-adaptive control parameters, and avoid the phenomena of stagnation and prematurity.

네트워크 기반 엔지니어링 환경에서의 제품 개발: 개넘과 접근방식 (Product Development in the Network-Centric Engineering Environment: Concept and Approach)

  • 방건동
    • 한국CDE학회논문집
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    • 제5권1호
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    • pp.79-87
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    • 2000
  • This paper presents an integrated but open product development environment for distributed and collaborative design. The web-based framework, called DOME, allows designers to build integrated models using both local and distributed resources, and to collaborate by exchanging services in a network-centric product development environment. Thus, an integrated model can be created while each participant focuses on his or her own area of expertise. A design problem model is created by connecting modules, which represent specific system components, analysis capabilities/software, disciplines, or organizations relevant to the problem. The modules interact with each other using service exchanges based upon the CORBA standard communication protocol. The goal of this framework is tall provide the ability to rapidly construct integrated design problem models to facilitate collaborative design work, improve product quality and reduce development time. Ultimately, it should allow specialized engineering applications and design problem models to operate under a common design environment.

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초등학교 수업에서 수학 교과 역량으로서의 문제 해결 능력을 함양하기 위한 지도 방안 탐색 (Research on the Instructional Strategies to Foster Problem Solving Ability as Mathematical Subject Competency in Elementary Classrooms)

  • 최인영;방정숙
    • 한국수학교육학회지시리즈C:초등수학교육
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    • 제21권3호
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    • pp.351-374
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    • 2018
  • 2015 개정 교육과정에서는 수학 교과 역량으로서의 문제 해결 능력을 함양하기 위한 교수 학습 방법으로 협력적 문제 해결과 수학적 모델링을 새롭게 제시하였다. 따라서 이에 대한 교사들의 이해를 지원하는 것이 필요하다. 본 연구에서는 협력적 문제 해결과 수학적 모델링을 수학 수업에 반영하여 구체적인 지도 방안으로서 문제 및 수업지도안의 개발, 필요한 교사의 역할을 제시하였다. 10차시의 문제 해결 과정에서 학생들은 스스로 수학적 모델을 구성하였고, 해결 방법을 공유하면서 모델을 수정 보완하였다. 특히 교사가 문제 해결을 공유하고 논의하는 과정을 명확히 안내하는 경우에 학생들이 서로의 해결 방법을 비교하고 자신의 해결 방법을 보완하는 모습이 보다 잘 나타났다. 연구 결과를 토대로 수학 교과 역량으로서의 문제 해결 능력을 함양하기 위한 지도 방안에 대한 시사점을 논의하였다.