• 제목/요약/키워드: open platforms

검색결과 262건 처리시간 0.025초

한의학 연구자를 위한 시스템 생물학 학습 가이드 (Guide to Learning Systems Biology for Korean Medicine Researchers)

  • 김창업
    • 동의생리병리학회지
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    • 제30권6호
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    • pp.412-418
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    • 2016
  • The emergence of systems biology in the 21st century is changing the paradigm of biomedical research. Whereas the reductionist approaches focus on components rather than time or contexts, systems biology focus more on interrelationships, dynamics, and contexts. The key ideas of the systems biology shares much with the philosophy of Korean Medicine(KM) and therefore, the paradigm shift is shedding light on understanding the mechanism of action of KM at system level. In this article, I provide a guide to learning systems biology for KM researchers using online learning resources. Thanks to the recent development of MOOC(massive open online courses) and other online learning platforms, learners can access to plenty of high-quality resources from top-tier universities in the world. I expect this guide help researchers to employ systems biology methods into their KM researches, and will lead to the development of future curricula for training "bi-lingual" experts, KM and computational approaches.

Development of the Interactive Flexible Information System

  • Abishev, Olzhas;Lee, Joon-Won
    • Journal of information and communication convergence engineering
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    • 제7권3호
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    • pp.247-252
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    • 2009
  • The Internet has made a huge impact on the way we, as humans, communicate. During the last decade a series of new communication mediums have emerged and communication protocols have come and gone. This puts new requirements on the development process and architecture of the communication platforms, operated by communities, in order to proactively ensure support for future communication protocols. Even further, additional requirements are added when the software itself will be maintained by a community. In this paper we explore the world of Open Source Software. We present our suggestions of usable design-principles and our process in developing a sustainable information system.

Adaptive Resource Management and Provisioning in the Cloud Computing: A Survey of Definitions, Standards and Research Roadmaps

  • Keshavarzi, Amin;Haghighat, Abolfazl Toroghi;Bohlouli, Mahdi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권9호
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    • pp.4280-4300
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    • 2017
  • The fact that cloud computing services have been proposed in recent years, organizations and individuals face with various challenges and problems such as how to migrate applications and software platforms into cloud or how to ensure security of migrated applications. This study reviews the current challenges and open issues in cloud computing, with the focus on autonomic resource management especially in federated clouds. In addition, this study provides recommendations and research roadmaps for scientific activities, as well as potential improvements in federated cloud computing. This survey study covers results achieved through 190 literatures including books, journal and conference papers, industrial reports, forums, and project reports. A solution is proposed for autonomic resource management in the federated clouds, using machine learning and statistical analysis in order to provide better and efficient resource management.

Error Recovery Script of Immunity Debugger for C# .NET Applications

  • Shinde, Rupali;Choi, Min;Lee, Su-Hyun
    • Journal of Information Processing Systems
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    • 제15권6호
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    • pp.1438-1448
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    • 2019
  • We present a new technique, called VED (very effective debugging), for detecting and correcting division by zero errors for all types of .NET application. We use applications written in C# because C# applications are distributed through the internet and its executable format is used extensively. A tool called Immunity Debugger is used to reverse engineer executable code to get binaries of source code. With this technique, we demonstrate integer division by zero errors, the location of the error causing assembly language code, as well as error recovery done according to user preference. This technique can be extended to work for other programming languages in addition to C#. VED can work on different platforms such as Linux. This technique is simple to implement and economical because all the software used here are open source. Our aims are to simplify the maintenance process and to reduce the cost of the software development life cycle.

아키그램 건축에 나타난 아키그램 리틀 매거진의 영향과 특징 (Influence of Archigram as a Little Magazine on Archigram's Architectural works and its Characteristics)

  • 임진우
    • 한국실내디자인학회논문집
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    • 제23권4호
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    • pp.3-11
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    • 2014
  • The purpose of this study is to understand Archigram's architectural works by analysing Archigram, which was a little magazine issued from 1961 to 1974. Studies on the Archirgam's architectural works have been mostly focused on their projects themselves, not within the context of the medium, Archigram (little magazine). However, Archigram as a little magazine worked as a platforms where ideas and projects could be developed and communicated among the members. Therefore, this study focused on the distinct features of Archigram's architectural works which were influenced by its little magazine, Archigram. The major conclusion of this study is that Archigram's architectural works worked as media themselves; Archigram's architectural works are open-end conclusions which can be transformed and developed by other members; Archigram members created new temporality, creating 'up-to-the-minute' architecture.

Scalable and Viable Paths to Printed (or Flexible) Electronics

  • 고병천
    • 한국재료학회:학술대회논문집
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    • 한국재료학회 2009년도 춘계학술발표대회
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    • pp.3.2-3.2
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    • 2009
  • Development of printed electronics, which is occasionally referred to as 'flexible' or 'polymer' electronics, has attracted considerable world wide attention in recent years. Printed (or flexible) electronics is currently expected to represent a new form of electronics and open up wide ranging applications in displays, electron devices for medical use, sensors, and other areas. This presentation aims to provide a strategy for scalable and viable paths to accomplish flexible, printable, large area circuits displaying high performance. Novel approaches evolving from system on package (SoP) to system on flex (SoF) technology will allow the integration of heterogeneous materials platforms into a system which is needed to enhance the functionality of the system. The talk also includes speculations about areas on which future advances in printed electronics could have a substantial impact along with a brief introduction of the Korea Printed Electronics Association (KoPEA).

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Experimental Investigation on the Ultimate and PostUltimate Strength of Stiffened Plates under Axial Compression

  • Cho, Sang-Rai;Song, Ick-Cho
    • Journal of Ship and Ocean Technology
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    • 제7권1호
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    • pp.1-12
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    • 2003
  • Stiffened plates are among the most popular structural elements for marine structures like ships or offshore platforms. Many researchers have performed and reported the results of structural tests on stiffened plates in the open literature. However, the behaviour of stiffened plates in post-ultimate regime has not been fully reported. This paper reports the results of twenty-one axial compression tests including the initial imperfections and material properties of the test models. In aiming to investigate the post-ultimate behaviour of stiffened panels, the axial shortenings were increased up to far beyond the ultimate state. The results obtained from these tests can be utilized in substantiating design formulae in predicting the post-ultimate behaviour of stiffened plates.

A Review of Deep Learning Research

  • Mu, Ruihui;Zeng, Xiaoqin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권4호
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    • pp.1738-1764
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    • 2019
  • With the advent of big data, deep learning technology has become an important research direction in the field of machine learning, which has been widely applied in the image processing, natural language processing, speech recognition and online advertising and so on. This paper introduces deep learning techniques from various aspects, including common models of deep learning and their optimization methods, commonly used open source frameworks, existing problems and future research directions. Firstly, we introduce the applications of deep learning; Secondly, we introduce several common models of deep learning and optimization methods; Thirdly, we describe several common frameworks and platforms of deep learning; Finally, we introduce the latest acceleration technology of deep learning and highlight the future work of deep learning.

Significance and Research Challenges of Defensive and Offensive Cybersecurity in Smart Grid

  • Hana, Mujlid
    • International Journal of Computer Science & Network Security
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    • 제22권12호
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    • pp.29-36
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    • 2022
  • Smart grid (SG) software platforms and communication networks that run and manage the entire grid are increasingly concerned about cyber security. Characteristics of the smart grid networks, including heterogeneity, time restrictions, bandwidth, scalability, and other factors make it difficult to secure. The age-old strategy of "building bigger walls" is no longer sufficient given the rise in the quantity and size of cyberattacks as well as the sophisticated methods threat actor uses to hide their actions. Cyber security experts utilize technologies and procedures to defend IT systems and data from intruders. The primary objective of every organization's cybersecurity team is to safeguard data and information technology (IT) infrastructure. Consequently, further research is required to create guidelines and methods that are compatible with smart grid security. In this study, we have discussed objectives of of smart grid security, challenges of smart grid security, defensive cybersecurity techniques, offensive cybersecurity techniques and open research challenges of cybersecurity.

Enhancing Video Storyboarding with Artificial Intelligence: An Integrated Approach Using ChatGPT and Midjourney within AiSAC

  • Sukchang Lee
    • International Journal of Advanced Culture Technology
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    • 제11권3호
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    • pp.253-259
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    • 2023
  • The increasing incorporation of AI in video storyboard creation has been observed recently. Traditionally, the production of storyboards requires significant time, cost, and specialized expertise. However, the integration of AI can amplify the efficiency of storyboard creation and enhance storytelling. In Korea, AiSAC stands at the forefront of AI-driven storyboard platforms, boasting the capability to generate realistic images built on open datasets foundations. Yet, a notable limitation is the difficulty in intricately conveying a director's vision within the storyboard. To address this challenge, we proposed the application of image generation features from ChatGPT and Midjourney to AiSAC. Through this research, we aimed to enhance the efficiency of storyboard production and refined the intricacy of expression, thereby facilitating advancements in the video production process.