• Title/Summary/Keyword: technology platforms

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Best Practices in the Implementation of Research Infrastructure in the Academic Environment: Shortcomings and Revisions

  • Michal Lorenz;Ema Juranova;Michal Konecny;Hana Kubelkova;Veronika Wolfelova
    • International Journal of Knowledge Content Development & Technology
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    • v.13 no.4
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    • pp.95-117
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    • 2023
  • The Digitalia MUNI ARTS - a local node of the LINDAT/CLARIAH-CZ research infrastructure at the Faculty of Arts of Masaryk University constitutes a repository in the Islandora system. It is used for long-term preservation of research data together with their research environment in the form of digital platforms. We transfer the digital outputs of humanities scholars research to the repository according to a set plan, which is based on best practice recommendations for project management and digital curation. In this paper, we present how the results of interviews with platform developers and infrastructure stakeholders translate into the curation workflow, and a resulting model for migrating digital platforms to the repository. Reflecting on three types of problems we encountered during the implementation of platforms into the repository - communication problems, problems of external dependence, and management problems - we describe a modification of the migration process. We present six recommendations for repository administrators and curators in an academic setting - holding an introductory meeting with developers, researching significant and relevant theories of knowledge domain, consulting license experts, prioritizing requirements, and preparing handover protocol and progress reports.

Network-Based Protein Biomarker Discovery Platforms

  • Kim, Minhyung;Hwang, Daehee
    • Genomics & Informatics
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    • v.14 no.1
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    • pp.2-11
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    • 2016
  • The advances in mass spectrometry-based proteomics technologies have enabled the generation of global proteome data from tissue or body fluid samples collected from a broad spectrum of human diseases. Comparative proteomic analysis of global proteome data identifies and prioritizes the proteins showing altered abundances, called differentially expressed proteins (DEPs), in disease samples, compared to control samples. Protein biomarker candidates that can serve as indicators of disease states are then selected as key molecules among these proteins. Recently, it has been addressed that cellular pathways can provide better indications of disease states than individual molecules and also network analysis of the DEPs enables effective identification of cellular pathways altered in disease conditions and key molecules representing the altered cellular pathways. Accordingly, a number of network-based approaches to identify disease-related pathways and representative molecules of such pathways have been developed. In this review, we summarize analytical platforms for network-based protein biomarker discovery and key components in the platforms.

Damage detection in jacket type offshore platforms using modal strain energy

  • Asgarian, B.;Amiri, M.;Ghafooripour, A.
    • Structural Engineering and Mechanics
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    • v.33 no.3
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    • pp.325-337
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    • 2009
  • Structural damage detection, damage localization and severity estimation of jacket platforms, based on calculating modal strain energy is presented in this paper. In the structure, damage often causes a loss of stiffness in some elements, so modal parameters; mode shapes and natural frequencies, in the damaged structure are different from the undamaged state. Geometrical location of damage is detected by computing modal strain energy change ratio (MSECR) for each structural element, which elements with higher MSECR are suspected to be damaged. For each suspected damaged element, by computing cross-modal strain energy (CMSE), damage severity as the stiffness reduction factor -that represented the ratios between the element stiffness changes to the undamaged element stiffness- is estimated. Numerical studies are demonstrated for a three dimensional, single bay, four stories frame of the existing jacket platform, based on the synthetic data that generated from finite element model. It is observed that this method can be used for damage detection of this kind of structures.

State-of-the-Art AI Computing Hardware Platform for Autonomous Vehicles (자율주행 인공지능 컴퓨팅 하드웨어 플랫폼 기술 동향)

  • Suk, J.H.;Lyuh, C.G.
    • Electronics and Telecommunications Trends
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    • v.33 no.6
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    • pp.107-117
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    • 2018
  • In recent years, with the development of autonomous driving technology, high-performance artificial intelligence computing hardware platforms have been developed that can process multi-sensor data, object recognition, and vehicle control for autonomous vehicles. Most of these hardware platforms have been developed overseas, such as NVIDIA's DRIVE PX, Audi's zFAS, Intel GO, Mobile Eye's EyeQ, and BAIDU's Apollo Pilot. In Korea, however, ETRI's artificial intelligence computing platform has been developed. In this paper, we discuss the specifications, structure, performance, and development status centering on hardware platforms that support autonomous driving rather than the overall contents of autonomous driving technology.

Hybrid Fraud Detection Model: Detecting Fraudulent Information in the Healthcare Crowdfunding

  • Choi, Jaewon;Kim, Jaehyoun;Lee, Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.3
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    • pp.1006-1027
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    • 2022
  • In the crowdfunding market, various crowdfunding platforms can offer founders the possibilities to collect funding and launch someone's next campaign, project or events. Especially, healthcare crowdfunding is a field that is growing rapidly on health-related problems based on online platforms. One of the largest platforms, GoFundMe, has raised US$ 5 billion since 2010. Unfortunately, while providing crucial help to care for many people, it is also increasing risk of fraud. Using the largest platform of crowdfunding market, GoFundMe, we conduct an exhaustive search of detection on fraud from October 2016 to September 2019. Data sets are based on 6 main types of medical focused crowdfunding campaigns or events, such as cancer, in vitro fertilization (IVF), leukemia, health insurance, lymphoma and, surgery type. This study evaluated a detect of fraud process to identify fraud from non-fraud healthcare crowdfunding campaigns using various machine learning technics.

Analysis of Correlation between Real-time Sales Ranking and Information Provided by Mobile Movie Platform: Focus on Non-descriptive Information in Google Play Store's Best-selling Movies

  • Nam, Sangzo
    • Journal of Advanced Information Technology and Convergence
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    • v.9 no.2
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    • pp.41-54
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    • 2019
  • The cinema circuit is facing a digital, network, and mobile age, which expands non-theater accessibility to movies. Application platforms are situated as the most competitive business model that provide digital content such as games, music, books, and movies. Consumers can acquire content-related information not just offline, but online as well. Therefore, item information provided by application platforms is required. The information provided by application platforms consists of richly descriptive information such as storyline summary, consumer reviews, and related articles, while non-descriptive normative information covers data such as sales ranking, release date, genre, rental or purchase cost, domestic/foreign classification, consumer rating, number of consumer ratings, film rating, and so on. In this study, we surveyed and analyzed statistically the correlation between real-time sales ranking and other comparable non-descriptive information.

Research on the Open World System of Metaverse Content <Ready Player One>

  • JungWoo Lee;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • v.11 no.4
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    • pp.322-327
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    • 2023
  • Recent advances in augmented reality (AR) and virtual reality (VR) technologies have led to a significant increase in metaverse platforms. Metaverses are setting a new direction for the digital world. This paper examines the phenomenon of virtual worlds that are becoming an issue these days, focusing on [Ready Player One]. One of the common features of the metaverse platform in [Ready Player One] and the platforms currently in use is the concept of open world. This is a feature that goes beyond simply moving around in a virtual world and allows users to freely reset, participate in, and control the environment. This innovative concept is a hallmark of metaverse platforms, and it is becoming increasingly important and influential. Through this study, we focused on the [open world system] of the platform in the movie and the modern metaverse platform, and suggested and studied how the scalability of the metaverse will present a turning point in the future.

Analysis on Trends of Artworks Blockchain Platform

  • Lee, Yo-Seob
    • International Journal of Advanced Culture Technology
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    • v.7 no.3
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    • pp.149-157
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    • 2019
  • Recently, the blockchain platform is changing the art market. Changes are taking place in many areas, including artists, collectors, art investors, and auction. The platform that provides distribution history information on artworks on a blockchain basis can be used when information on the work history is suspected or needs verification, and can be used to manage the distribution history information of stolen and lost artworks and confiscated artworks by the police. Several companies currently operate these platforms, but they operate various blockchain platforms according to their contents. In this paper, we will compare and analyze features of artworks blockchain platform.

Prospects & Issues of NFT Art Contents in Blockchain Technology (블록체인 NFT 문화예술콘텐츠의 현황과 과제)

  • Jong-Guk Kim
    • Journal of Information Technology Applications and Management
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    • v.30 no.1
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    • pp.115-126
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    • 2023
  • In various fields such as art, design, music, film, sports, games, and fashion, NFTs (Non-Fungible Tokens) are creating new economic value through trading platforms dedicated to NFT art and content. In this article, I analyze the current state of blockchain technology and NFT art content in the context of an expanding market for blockchain-based NFT art content in the metaverse. I also propose several tasks based on the economic and industrial logic of technological innovation. The first task proposed is to integrate cultural arts on blockchain, metaverse, and NFT platforms through digital innovation, instead of separating or distinguishing between creative production and consumption. Before the COVID-19 pandemic, there was a clear separation between creators and consumers. However, with the rise of Web 3.0 platforms, any user can now create and own their own content. Therefore, it is important to promote a collaborative and integrated approach to cultural arts production and consumption in the blockchain and metaverse ecosystem. The second task proposed is to align the legal framework with blockchain-based technological innovation. The enactment and revision of relevant laws should focus on promoting the development of the NFT trading platform ecosystem, rather than merely regulating it for user protection. As blockchain-based technology continues to evolve, it is important that legal systems adapt to support and promote innovation in the space. This shift in focus can help create a more conducive environment for the growth of blockchain-based NFT platforms. The third task proposed is to integrate education on digital arts, including metaverse and NFT art contents, into the current curriculum. This education should focus on convergence and consilience, rather than merely mixing together humanities, technology, and arts. By integrating digital arts education into the curriculum, students can gain a more comprehensive understanding of the potential of blockchain-based technologies and NFT art. This article examines the digital technological innovation such as blockchain, metaverse, and NFT from an economic and industrial point of view. As a limitation of this research, the critical mind such as philosophical thinking or social criticism on technological innovation is left as a future task.

Platform Thinking within the Third Generation Science Park Concept: Emerging Cases from Finland and the Netherlands

  • Kakko, Ilkka;Mikkela, Kari
    • World Technopolis Review
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    • v.5 no.1
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    • pp.30-46
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    • 2016
  • This paper is intended as an opening of a dialog on how to apply platform thinking in the development of innovation environments. It will briefly describe a new STP (Science and Technology Park) concept called 3GSP (Third Generation Science Park), which is gaining momentum in Finland. The paper explains the fundamental changes that are currently taking place in the global innovation environment and explains why platform thinking is becoming an essential element in ecosystem development. The theoretical background and classifications of platforms are described and the benefits to be gained from STP perspective are highlighted. The paper emphasizes especially the role of so called 'competence platforms' and explains the main characteristics of a fully working competence platform. The role of competence platforms in understanding serendipity and as a fundamental factor in building the team is also highlighted. The paper analyses from STP perspective several practical examples, where platform thinking supports the emergence of new innovation environments, including Urban Mill (Finland) and Meetberlage (Netherlands). The requirements for comprehensive competence platform services are presented and their potential to support community building and therefore ecosystem development is illustrated. This analysis will provide STP practitioners with new models for applying platform thinking and will help to establish co-creation, open innovation and serendipity management practices. The case studies presented will help STP management teams to evaluate the benefits of competence platforms in different contexts.