• Title/Summary/Keyword: Cutting edge technologies

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Augmented Reality Framework for Efficient Access to Schedule Information on Construction Sites (증강현실 기술을 통한 건설 현장에서의 공정 정보 활용도 제고 방안)

  • Lee, Yong-Ju;Kim, Jin-Young;Pham, Hung;Park, Man-Woo
    • Journal of KIBIM
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    • v.10 no.4
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    • pp.60-69
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    • 2020
  • Allowing on-site workers to access information of the construction process can enable task control, data integration, material and resource control. However, in the current practice of the construction industry, the existing methods and scope is quite limited, leading to inefficient management during the construction process. In this research, by adopting cutting edge technologies such as Augmented Reality(AR), digital twins, deep learning and computer vision with wearable AR devices, the authors proposed an AR visualization framework made of virtual components to help on-site workers to obtain information of the construction process with ease of use. Also, this paper investigates wearable AR devices and object detection algorithms, which are critical factors in the proposed framework, to test their suitability.

A Comprehensive Overview of RNA Deconvolution Methods and Their Application

  • Yebin Im;Yongsoo Kim
    • Molecules and Cells
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    • v.46 no.2
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    • pp.99-105
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    • 2023
  • Tumors are surrounded by a variety of tumor microenvironmental cells. Profiling individual cells within the tumor tissues is crucial to characterize the tumor microenvironment and its therapeutic implications. Since single-cell technologies are still not cost-effective, scientists have developed many statistical deconvolution methods to delineate cellular characteristics from bulk transcriptome data. Here, we present an overview of 20 deconvolution techniques, including cutting-edge techniques recently established. We categorized deconvolution techniques by three primary criteria: characteristics of methodology, use of prior knowledge of cell types and outcome of the methods. We highlighted the advantage of the recent deconvolution tools that are based on probabilistic models. Moreover, we illustrated two scenarios of the common application of deconvolution methods to study tumor microenvironments. This comprehensive review will serve as a guideline for the researchers to select the appropriate method for their application of deconvolution.

Enhancing cloud computing security: A hybrid machine learning approach for detecting malicious nano-structures behavior

  • Xu Guo;T.T. Murmy
    • Advances in nano research
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    • v.15 no.6
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    • pp.513-520
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    • 2023
  • The exponential proliferation of cutting-edge computing technologies has spurred organizations to outsource their data and computational needs. In the realm of cloud-based computing environments, ensuring robust security, encompassing principles such as confidentiality, availability, and integrity, stands as an overarching imperative. Elevating security measures beyond conventional strategies hinges on a profound comprehension of malware's multifaceted behavioral landscape. This paper presents an innovative paradigm aimed at empowering cloud service providers to adeptly model user behaviors. Our approach harnesses the power of a Particle Swarm Optimization-based Probabilistic Neural Network (PSO-PNN) for detection and recognition processes. Within the initial recognition module, user behaviors are translated into a comprehensible format, and the identification of malicious nano-structures behaviors is orchestrated through a multi-layer neural network. Leveraging the UNSW-NB15 dataset, we meticulously validate our approach, effectively characterizing diverse manifestations of malicious nano-structures behaviors exhibited by users. The experimental results unequivocally underscore the promise of our method in fortifying security monitoring and the discernment of malicious nano-structures behaviors.

The principles of artificial intelligence and its applications in dentistry

  • Yoohyun Lee;Seung-Ho Ohk
    • International Journal of Oral Biology
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    • v.48 no.4
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    • pp.45-49
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    • 2023
  • Digital dentistry has witnessed significant advancements in recent years, driven by extensive research following the introduction of cutting-edge technologies such as CAD/CAM and 3D oral scanners. Until now, 2D images obtained via x-ray or CT scans were critical to detect anomalies and for decision-making. This review describes the main principles and applications of supervised, unsupervised, and reinforcement learning in medical applications. In this context, we present a diverse range of artificial intelligence networks with potential applications in dentistry, accompanied by existing results in the field.

Construction Automation and Robotics: Innovative Challenges and Opportunities

  • Junbok Lee
    • International Journal of High-Rise Buildings
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    • v.12 no.4
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    • pp.343-350
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    • 2023
  • With the advent of the recent Fourth Industrial Revolution, efforts are vigorously underway to comprehend the new paradigm of Construction 4.0, following in the footsteps of Industry 4.0, and to establish novel production systems. The necessity and significance of technological advancements in the field of construction automation and robotics, a pivotal component for Construction 4.0, are being emphasized. This paper aims to discuss the concept of construction automation and robotics, encompassing its past, present, and future prospects. Particularly, it reviews the six relevant papers featured in the June 2022 special issue of IJHRB, along with discussions on the integration of cutting-edge ICT technologies and R&D in the realm of automation and robotics. With the progression of ICT technology, the domain of construction automation and robotics is anticipated to play a substantial role in the realization of Construction 4.0 and smart construction through more dynamic convergence in technological development.

The Improvement on Proposal Evaluation System of National Defense Core Technology R&D Projects (국방핵심기술 연구개발과제의 선정평가 개선 연구)

  • Kim, Chan-Soo;Cho, Kyu-Kab
    • Journal of Technology Innovation
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    • v.15 no.2
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    • pp.123-152
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    • 2007
  • The striking characteristic of the contemporary global security environment is that the nature of threats has become diverse and complex. For example, transnational and non-military threats including terrorism and proliferation of weapon of mass destruction has increased. In this security environment, Advanced countries funnel their investments for defense budgets into the assurance of key force capability and R&D of cutting-edge core technologies, in consideration of future battlefield environments so as to get an edge on not only defense science and technology but also intelligence capabilities. As shown by past practices of the korea's defense acquisition, the ministry of national defense has tried to enhance its force capabilities in the short-term by purchasing foreign weapon systems rather than by investing in domestic R&D. Accordingly, the technological gaps between the korea and advanced countries were widened due to both insufficient investment in development of domestic technologies and avoidance of technological transfer by advanced countries. Thus, for the effective execution of the R&D budget and the successful performance of the projects, the importance of selection, management and evaluation of the R&D projects is emphasized. So, The objective of this study is that the analysis of the proposal-selection evaluation system for the realization of the successful defense core technology R&D projects. This study focused on the improvement of the proposal-selection evaluation model which can be applicable to the national defense core R&D projects. Using the improved proposal-selection evaluation system, we propose a model to enhance the reliability of the national defense core technology R&D project evaluation system.

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Evaluating the Competitiveness of Asian Construction Companies through Patent Analysis

  • Ji, Woojong;Lee, Dongmin;Lim, Hyunsu;Pyo, Kiyoun;Lee, Dongyoun;Lee, Hak-Ju;Park, Insung;Kang, Kyung-In
    • Journal of the Korea Institute of Building Construction
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    • v.20 no.2
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    • pp.199-212
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    • 2020
  • In evaluating the competitiveness of construction companies and their development strategies, patents are a useful and objective source of technical information. In this study, the cutting-edge technologies of construction industries of China, Japan, and South Korea were investigated based on the data of patent applications filed by a total of 15 construction companies (five companies from each country). The related technologies were classified into six core technology groups based on their keywords. After that, we used four patent analysis methods: time series analysis, IP (Intellectual Property) emergence level analysis, spiral module analysis, and OS (Object-Solution) Matrix analysis, to identify the promising technologies/vacant technologies for global construction companies in China, Japan, and South Korea, and to analyze the technical competitiveness of the three countries. The findings of this study showed that each country can claim a relative technological advantage over the others. Overall, 3D printing and offsite construction technology, data acquisition technology, AR and VR technology are expected to be promising in the Asian region. The present study contributes to the body of knowledge by expanding our understanding of technological innovation for the competitiveness of companies and the technology development strategies pursued by the construction industries of China, Japan, and South Korea.

Trend of Paradigm for integrating Blockchain, Artificial Intelligence, Quantum Computing, and Internet of Things

  • Rini Wisnu Wardhani;Dedy Septono Catur Putranto;Thi-Thu-Huong Le;Yustus Eko Oktian;Uk Jo;Aji Teguh Prihatno;Naufal Suryanto;Howon Kim
    • Smart Media Journal
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    • v.12 no.2
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    • pp.42-55
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    • 2023
  • The combination of blockchain (BC), artificial Intelligence (AI), quantum computing (QC), and the Internet of Things (IoT) can potentially transform various industries and domains, including healthcare, logistics, and finance. In this paper, we look at the trends and developments in integrating these emerging technologies and the potential benefits and challenges that come with them. We present a conceptual framework for integrating BC, AI, QC, and IoT and discuss the framework's key characteristics and challenges. We also look at the most recent cutting-edge research and developments in integrating these technologies, as well as the key challenges and opportunities that come with them. Our analysis highlights the potential benefits of integrating the technologies and looks to increased security, privacy, and efficiency to provide insights into the future of these technologies.

Research on Metadata Schema for Data Exchange between Smart Housing Fire Service and Smart City Integration Platform (스마트하우징 화재 서비스의 스마트시티 플랫폼 연계 데이터 교환용 메타데이터 스키마 연구)

  • Dae-Kug Lee;Dae-Gyu Lee;Hyun-Kook Kahng;Choong-Ho Cho
    • Journal of Internet Computing and Services
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    • v.25 no.2
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    • pp.113-122
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    • 2024
  • Recently, cutting-edge ICT technologies such as artificial intelligence, blockchain, edge computing, and the Internet of Things have been applied in various fields to create new services and a new digital era. Along with these technological developments, various policies are being implemented in Korea to transform the country from a "Smart City" to a "Platform City". We can create new services and values by linking with the Smart City Integrated Platform and Smart Housing Platform. This paper defines a linkage scenario between a Smart Housing Platform and the Smart 119 Emergency Dispatch Support Service, one of the Smart City Safety Nets. We propose a data transmission protocol and a metadata schema for data exchange between the Smart Housing Platform and the Smart City Integrated Platform to provide the Smart 119 Emergency Dispatch Support Service.

Development and Uses of the ARS Server Application System for the Interactive Digital Performance (관객 참여형 디지털 퍼포먼스를 위한 ARS 서버 응용 시스템의 구현과 활용)

  • Son, Dong-Kwan;Kim, Do-Hyung;Ahn, Jong-Yoon;Lim, Chang-Young
    • 한국HCI학회:학술대회논문집
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    • 2008.02b
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    • pp.103-108
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    • 2008
  • Art is an ongoing process of experimenting and challenging. The challenge and experiments of the artists encompass both the conceptual process and the expressive process of creating artworks. It is not mandatory to use cutting-edge technologies for interactive performances, since they can be realized by adapting pre-existing technologies. Using previous technologies reduces the difficulties in the production process and makes it easier for the audience to understand the way of participation. In this paper, propose an ARS-server-based control system in which a large audience can participate during a performance to control certain features on stage. This system was first proposed during the 'Ubiplay Workshop and Seminar' hosted by the GSCT, KAIST, and applied to the digital performance 'Syntasia' in June and July, 2007, hosted by the Goyang Culture Foundation.

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