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Application of Artificial Intelligence-based Digital Pathology in Biomedical Research

  • Jin Seok Kang
    • 대한의생명과학회지
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    • 제29권2호
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    • pp.53-57
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    • 2023
  • The main objective of pathologists is to achieve accurate lesion diagnoses, which has become increasingly challenging due to the growing number of pathological slides that need to be examined. However, using digital technology has made it easier to complete this task compared to older methods. Digital pathology is a specialized field that manages data from digitized specimen slides, utilizing image processing technology to automate and improve analysis. It aims to enhance the precision, reproducibility, and standardization of pathology-based researches, preclinical, and clinical trials through the sophisticated techniques it employs. The advent of whole slide imaging (WSI) technology is revolutionizing the pathology field by replacing glass slides as the primary method of pathology evaluation. Image processing technology that utilizes WSI is being implemented to automate and enhance analysis. Artificial intelligence (AI) algorithms are being developed to assist pathologic diagnosis and detection and segmentation of specific objects. Application of AI-based digital pathology in biomedical researches is classified into four areas: diagnosis and rapid peer review, quantification, prognosis prediction, and education. AI-based digital pathology can result in a higher accuracy rate for lesion diagnosis than using either a pathologist or AI alone. Combining AI with pathologists can enhance and standardize pathology-based investigations, reducing the time and cost required for pathologists to screen tissue slides for abnormalities. And AI-based digital pathology can identify and quantify structures in tissues. Lastly, it can help predict and monitor disease progression and response to therapy, contributing to personalized medicine.

건설산업 공공데이터 개방의 현황과 과제 (The Current Status and Problems of Open Government Data on the Construction Sector and Its Improvement Plan)

  • 김성환;최석인;유위성
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2022년도 가을 학술논문 발표대회
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    • pp.219-220
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    • 2022
  • In order to meet the trend, construction public data are already disclosing not only data generated at the construction site but also various data ranging from inspection reports and public construction contracts through multiple portals. However, unlike the excellence of the open performance evaluated by the number of data, it is difficult to evaluate the specific level of disclosure because there is no case of analyzing the quality, ease of use, and possibility of further opening of the public construction data set. On the other hand, performance measurement is already performed using an internationally agreed evaluation method in different fields such as real estate, population, and environment. So it is essential to analyze the current status of public data openings in the construction field and to derive improvement tasks. Therefore, this study conducted a survey of researchers with the highest system utilization targeting representative public data open systems in the construction field, such as E-AIS(세움터) and KISCON. To ensure fairness and increase comparability, the questionnaire was composed using evaluation items on implementing public data conducted annually by the World Wide Web Foundation, an international non-profit organization. With these responses, we investigated the status of public data disclosure and opinions on data quality and derived tasks to improve public data disclosure in construction through the analysis of the results.

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Word2vec 기반의 기술융합기회 발굴 연구: 웨어러블 기술사례를 중심으로 (Identifying Technology Convergence Opportunities Based on Word2Vec: The Case of Wearable Technology)

  • 박진우;송지훈
    • 한국산업융합학회 논문집
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    • 제26권5호
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    • pp.833-844
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    • 2023
  • As technology convergence is recognized as a driver of innovation, the identification of technology convergence opportunities is critical to expanding a firm's technology portfolio. Recently, wearable technology has emerged as an important factor in creating new business opportunities and providing technology investment alternatives for firms in the era of Industry 4.0. Against this background, this study provides a new patent analysis framework for identifying and proposing technology convergence opportunities in the wearable field. Using 8,621 patents filed between 2011 and 2021, a case study was conducted to identify technological convergence opportunities by applying Word2Vec algorithm. The analysis framework can be divided into four stages, with the final stage recommending potential technology convergence opportunities for a specific candidate firm's technology area by calculating similarities between technology codes. This study aims to better understand the current status of wearable technology development as well as to propose a new methodology for capturing technology convergence opportunities in the wearable industry. The case study result suggests that the convergence of healthcare and ICT may provide new development opportunities. Furthermore, the results are expected to provide alternative perspectives on the development of new markets and technologies using wearable technology and can support the strategic decision-making on future technology planning in the wearable field.

Publication Metrics and Subject Categories of Biomechanics Journals

  • Duane Victor Knudson
    • Journal of Information Science Theory and Practice
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    • 제11권4호
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    • pp.40-50
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    • 2023
  • Research in interdisciplinary fields like biomechanics is published in a variety of journals whose visibility depends on bibliometric indexing that is often driven by citation analysis of bibliometric databases. This study documented variation in publication metrics and research subject categories assigned to 14 biomechanics journals. Authors, citation, and citation rate (CR) were collected for the top 15 cited articles in the journals retrieved from the Google Scholar service. Research subject categories were also extracted for journals from three databases (Dimensions, Journal Citation Reports, and Scopus). Despite the focus on biomechanics for the journals studied, these biomechanics journals have widely varying CR and subject categories assigned to them. There were significant (p=0.001) and meaningful (77-108%) differences in median CR between average, low, and high CR groups of these biomechanics journals. Since CR are primary data used to calculate most journal metrics and there is no one biomechanics subject category, field normalization for journal citation metrics in biomechanics is difficult. Care must be taken to accurately interpret most citation metrics of biomechanics journals as biased proxies of general usage of research, given a specific database, time frame, and area of biomechanics research.

Volume-sharing Multi-aperture Imaging (VMAI): A Potential Approach for Volume Reduction for Space-borne Imagers

  • Jun Ho Lee;Seok Gi Han;Do Hee Kim;Seokyoung Ju;Tae Kyung Lee;Chang Hoon Song;Myoungjoo Kang;Seonghui Kim;Seohyun Seong
    • Current Optics and Photonics
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    • 제7권5호
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    • pp.545-556
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    • 2023
  • This paper introduces volume-sharing multi-aperture imaging (VMAI), a potential approach proposed for volume reduction in space-borne imagers, with the aim of achieving high-resolution ground spatial imagery using deep learning methods, with reduced volume compared to conventional approaches. As an intermediate step in the VMAI payload development, we present a phase-1 design targeting a 1-meter ground sampling distance (GSD) at 500 km altitude. Although its optical imaging capability does not surpass conventional approaches, it remains attractive for specific applications on small satellite platforms, particularly surveillance missions. The design integrates one wide-field and three narrow-field cameras with volume sharing and no optical interference. Capturing independent images from the four cameras, the payload emulates a large circular aperture to address diffraction and synthesizes high-resolution images using deep learning. Computational simulations validated the VMAI approach, while addressing challenges like lower signal-to-noise (SNR) values resulting from aperture segmentation. Future work will focus on further reducing the volume and refining SNR management.

An Analytical Study on the Visual Innovation of the Animation <Spider-Man: Across the Spider-Verse>

  • Zhihui Chen;Xinyi Shan;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • 제11권4호
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    • pp.352-357
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    • 2023
  • This study focuses on the art style research of the 3D Animation <Spider-Man: Across the Spider-Verse>, exploring the film's innovation in art design. The article first analyzes how the movie skillfully blends American comics, watercolor painting style, Pollock drip painting, and ink painting, among other artistic techniques, to present a unique visual experience for the audience. By specifically dissecting the character design and scene composition in the movie, it explores the specific application of these art styles and their methods in digital image production. Ultimately, the paper emphasizes the contribution of <Spider-Man: Across the Spider-Verse> to 3D Animated cinema, particularly its innovation in the field of art design, as well as its inspiration and possibilities for the diversity of art styles in animated films. Overall, this study aims to provide in-depth academic insight into the field of animated film art design and to promote its development and innovation.

A Systematic Review of Commercial Building Greening with CiteSpace

  • Yimeng Wu;Zhendong Wang;Kai Li;Hao Wang
    • 국제초고층학회논문집
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    • 제12권4호
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    • pp.273-285
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    • 2023
  • The commercial buildings greening can generate multiple benefits to achieve a sustainable building and business environment. However, a comprehensive systematic review of commercial buildings greening across multiple disciplines has yet to be reported. This study conducted a systematic analysis of 39 literature on commercial building greening from Web of Science over the past 19 years and utilized CiteSpace to visualize the academic evolution and trends in this field. Key findings were: 1) The number of publications in the past five years has increased, indicating that commercial building greening research has received widespread attention. 2) The large number of publications means that the research field of commercial building greening is relatively broad. 3) The study of commercial building greening has become a global participation and cooperation research topic. The top cooperating countries mainly come from the United States and Europe, while the differences in cooperation between institutions in developing countries are less significant. 4) The greening of commercial buildings is more related to research on behavioral activities. 5) The research on commercial building greening has developed from architecture and plants to interdisciplinary fields, including psychology, economics, and management. 6) The cost of commercial buildings greening is generally an obstacle to installation. This study provides specific references for stakeholders and plays a crucial role in determining the evolution of commercial building greening research and predicting future research needs and opportunities.

The High-throughput Solid-Phase Extraction in the Field of Synthetic Biology: Applications for the Food Industry and Food Managements

  • Hyeri SEONG;Min-Kyu KWAK
    • 식품보건융합연구
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    • 제10권3호
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    • pp.19-22
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    • 2024
  • The field of synthetic biology has emerged in response to the ongoing progress in the life sciences. Advances have been made in medicine, farming, eating, making materials, and more. Synthetic biology is the exploration of using living organisms to create new organisms. By manipulating specific genes to express targeted proteins, proteins can be created that are both productive and cost-effective. Solid-phase extraction (SPE) and liquid-liquid extraction (LLE) are employed for protein separation during the production process involving microorganisms. This study centers on Scanning Probe Microscopy (SPM) to showcase its utility in the food industry and food management. SPE is predominantly utilized as a pretreatment method to eliminate impurities from samples. In comparison to LLE, this method presents benefits such as decreased time and labor requirements, streamlined solvent extraction, automation capabilities, and compatibility with various other analytical instruments. Anion exchange chromatography (AEC) utilizes a similar methodology. Pharmaceutical companies utilize these technologies to improve the purity of biopharmaceuticals, thereby guaranteeing their quality. Used in the food and beverage industry to test chemical properties of raw materials and finished products. This exemplifies the potential of these technologies to enhance industrial development and broaden the scope of applications in synthetic biology.

Reconstruction of wind speed fields in mountainous areas using a full convolutional neural network

  • Ruifang Shen;Bo Li;Ke Li;Bowen Yan;Yuanzhao Zhang
    • Wind and Structures
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    • 제38권4호
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    • pp.231-244
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    • 2024
  • As wind farms expand into low wind speed areas, an increasing number are being established in mountainous regions. To fully utilize wind energy resources, it is essential to understand the details of mountain flow fields. Reconstructing the wind speed field in complex terrain is crucial for planning, designing, operation of wind farms, which impacts the wind farm's profits throughout its life cycle. Currently, wind speed reconstruction is primarily achieved through physical and machine learning methods. However, physical methods often require significant computational costs. Therefore, we propose a Full Convolutional Neural Network (FCNN)-based reconstruction method for mountain wind velocity fields to evaluate wind resources more accurately and efficiently. This method establishes the mapping relation between terrain, wind angle, height, and corresponding velocity fields of three velocity components within a specific terrain range. Guided by this mapping relation, wind velocity fields of three components at different terrains, wind angles, and heights can be generated. The effectiveness of this method was demonstrated by reconstructing the wind speed field of complex terrain in Beijing.

완전 자율주행분야 미래선도품목의 특허동향 및 협력 네트워크 분석 (Analysis of Patent Trends and Cooperative Network of Future-leading Items in the Field of Autonomous Driving)

  • 이정환;김진용;조지혁;김형석
    • Journal of Information Technology Applications and Management
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    • 제29권6호
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    • pp.1-12
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    • 2022
  • In recent years, technological competition in the automobile sector is accelerating. This study analyzes the status of patents from a global perspective of three promising future items that Korea has selected as core technologies in the field of autonomous driving,. And the technological cooperation ecosystem was identified through network analysis centered on scientific metrology. As a result of the analysis, it was confirmed that the growth of individual technologies has been strengthened in recent years, and although key source technologies have been largely preempted in major global countries, a close cooperative ecosystem between institutions, companies, and universities in major countries has not yet been formed. Specifically, the US and Japan have the technological leadership, while China is rapidly rising, and Korea is chasing after it as a latecomer. Therefore, it is necessary to continuously strengthen technological cooperation such as R&D of core technology to overcome technological limitations and strengthening of infrastructure construction, attracting excellent foreign talents and international exchanges. This analysis is meaningful in that it explores the global status of Korea's technology and the possibility of technological cooperation from various perspectives in the future from the viewpoint of preoccupation of future technology, rather than grasping the trend of a specific technology.