• Title/Summary/Keyword: 보완기술

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A Study on 3D Virtual Restoration and Convergence Utilization of Gas Masks for Digital Reproduction of War Cultural Heritage (전쟁 문화유산 디지털 재현을 위한 방독면 3D 가상 복원 및 융합 활용 연구)

  • Hyoung-Ki Ahn;Seung-Jun Oh;Ho-Yeon Lee;Young-Guy Lee
    • Journal of Internet of Things and Convergence
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    • v.9 no.1
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    • pp.89-95
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    • 2023
  • In January 2007, the Remains Excavation and Investigation Team of the Ministry of National Defense was established, and full-scale excavation of remains was promoted. Currently, the scope of the excavation is being expanded to Baekma Hill within the DMZ, where fierce battles were fought during the Korean War. Now, many remains and remains are being excavated in Baekma hill. Most are in damaged condition. Therefore, in this study, the original form of the excavated remains was restored using 3D scanning and 3D modeling. This digital restoration method can be an alternative to compensate for the disadvantages of the manual method. Currently, various digital restorations using 3D technology are active in the field of cultural heritage. Digitally restored materials can be used as basic data for digital heritage. Based on this, various contents related to excavation of remains and patriots and veterans can be developed. Furthermore, if digital human restoration is made based on the excavated remains, it will be possible to reproduce the appearance of the dead.

A Comparative Study on Discrimination Issues in Large Language Models (거대언어모델의 차별문제 비교 연구)

  • Wei Li;Kyunghwa Hwang;Jiae Choi;Ohbyung Kwon
    • Journal of Intelligence and Information Systems
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    • v.29 no.3
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    • pp.125-144
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    • 2023
  • Recently, the use of Large Language Models (LLMs) such as ChatGPT has been increasing in various fields such as interactive commerce and mobile financial services. However, LMMs, which are mainly created by learning existing documents, can also learn various human biases inherent in documents. Nevertheless, there have been few comparative studies on the aspects of bias and discrimination in LLMs. The purpose of this study is to examine the existence and extent of nine types of discrimination (Age, Disability status, Gender identity, Nationality, Physical appearance, Race ethnicity, Religion, Socio-economic status, Sexual orientation) in LLMs and suggest ways to improve them. For this purpose, we utilized BBQ (Bias Benchmark for QA), a tool for identifying discrimination, to compare three large-scale language models including ChatGPT, GPT-3, and Bing Chat. As a result of the evaluation, a large number of discriminatory responses were observed in the mega-language models, and the patterns differed depending on the mega-language model. In particular, problems were exposed in elder discrimination and disability discrimination, which are not traditional AI ethics issues such as sexism, racism, and economic inequality, and a new perspective on AI ethics was found. Based on the results of the comparison, this paper describes how to improve and develop large-scale language models in the future.

Development and Validation of AI Image Segmentation Model for CT Image-Based Sarcopenia Diagnosis (CT 영상 기반 근감소증 진단을 위한 AI 영상분할 모델 개발 및 검증)

  • Lee Chung-Sub;Lim Dong-Wook;Noh Si-Hyeong;Kim Tae-Hoon;Ko Yousun;Kim Kyung Won;Jeong Chang-Won
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.3
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    • pp.119-126
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    • 2023
  • Sarcopenia is not well known enough to be classified as a disease in 2021 in Korea, but it is recognized as a social problem in developed countries that have entered an aging society. The diagnosis of sarcopenia follows the international standard guidelines presented by the European Working Group for Sarcopenia in Older People (EWGSOP) and the d Asian Working Group for Sarcopenia (AWGS). Recently, it is recommended to evaluate muscle function by using physical performance evaluation, walking speed measurement, and standing test in addition to absolute muscle mass as a diagnostic method. As a representative method for measuring muscle mass, the body composition analysis method using DEXA has been formally implemented in clinical practice. In addition, various studies for measuring muscle mass using abdominal images of MRI or CT are being actively conducted. In this paper, we develop an AI image segmentation model based on abdominal images of CT with a relatively short imaging time for the diagnosis of sarcopenia and describe the multicenter validation. We developed an artificial intelligence model using U-Net that can automatically segment muscle, subcutaneous fat, and visceral fat by selecting the L3 region from the CT image. Also, to evaluate the performance of the model, internal verification was performed by calculating the intersection over union (IOU) of the partitioned area, and the results of external verification using data from other hospitals are shown. Based on the verification results, we tried to review and supplement the problems and solutions.

Constructability Evaluation of Seismic Mechanical Splice for Slurry Wall Joint Consisting of Steel Tube and Headed Bars (슬러리월의 내진설계를 위한 강재각관과 확대머리 철근으로 구성된 기계적 이음의 시공성 평가)

  • Park, Soon-Jeon;Kim, Dae-Young;Lim, In-Sik
    • Journal of the Korea Institute of Building Construction
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    • v.23 no.3
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    • pp.295-303
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    • 2023
  • South Korea has recently witnessed an increasing number of seismic events, leading to a surge in studies focusing on seismic earth pressures, as well as the attributes of geological layers and ground where foundations are established. Consequently, earthquake-resistant design has become imperative to ensure the safety of subterranean structures. The slurry wall method, due to its superior wall rigidity, excellent water resistance, and minimal noise and vibration, is often employed in constructing high-rise buildings in urban areas. However, given the separation between panels that constitute the wall, slurry walls possess limited resistance to seismic loads in the longitudinal direction. As a solution, several studies have probed into the possibility of interconnecting slurry wall panels to augment their seismic performance. In this research, we developed and evaluated a method for linking slurry wall panels using mechanical joints, including concrete-confined steel pipes and headed bars, through mock-up tests. We also assessed the constructability of the suggested method and compared it with other analogous methods. Any challenges identified during the mock-up test were discussed to guide future research in resolving them. The results of this study aid in enhancing the seismic performance of slurry walls through the development of an interconnected panel method. Further research can build on these findings to address the identified issues and improve the efficacy and reliability of the proposed method.

Reliable Assessment of Rainfall-Induced Slope Instability (강우로 인한 사면의 불안정성에 대한 신뢰성 있는 평가)

  • Kim, Yun-Ki;Choi, Jung-Chan;Lee, Seung-Rae;Seong, Joo-Hyun
    • Journal of the Korean Geotechnical Society
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    • v.25 no.5
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    • pp.53-64
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    • 2009
  • Many slope failures are induced by rainfall infiltration. A lot of recent researches are therefore focused on rainfall-induced slope instability and the rainfall infiltration is recognized as the important triggering factor. The rainfall infiltrates into the soil slope and makes the matric suction lost in the slope and even the positive pore water pressure develops near the surface of the slope. They decrease the resisting shear strength. In Korea, a few public institutions suggested conservative slope design guidelines that assume a fully saturated soil condition. However, this assumption is irrelevant and sometimes soil properties are misused in the slope design method to fulfill the requirement. In this study, a more relevant slope stability evaluation method is suggested to take into account the real rainfall infiltration phenomenon. Unsaturated soil properties such as shear strength, soil-water characteristic curve and permeability for Korean weathered soils were obtained by laboratory tests and also estimated by artificial neural network models. For real-time assessment of slope instability, failure warning criteria of slope based on deterministic and probabilistic analyses were introduced to complement uncertainties of field measurement data. The slope stability evaluation technique can be combined with field measurement data of important factors, such as matric suction and water content, to develop an early warning system for probably unstable slopes due to the rainfall.

Geophysical Techniques for Underwater Landslide Monitoring (수중 산사태 모니터링을 위한 지반물리탐사기술)

  • Truong, Q. Hung;Lee, Chang-Ho;Lee, Jong-Sub
    • Journal of the Korean Geotechnical Society
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    • v.23 no.7
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    • pp.5-16
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    • 2007
  • The monitoring and investigation of underwater landslide help to understand its mechanism, increase the usefuless of design and construction and reduce the losses. This paper presents three high resolution geophysical techniques electrical resisitance, ultrasonic wave reflection imaging, and shear wave tomography conducted to determine the lab-scaled submerged landslide. Electrical resistance profiles of a soil mass obtained by an electrical resistance probe provide detailed information to assess the spatial distribution of the soil mass with milimetric resolution. An ultrasonic wave image obtained by recording the reflections from interfaces of different impedance materials permits detecting layers and landslide with submilimetric resolution. The pixel based image of immersed landslides is created by the inversion of the boundary information achieved from the traveling time of shear waves. The experimental results show that the ultrasonic wave imaging and the electrical resistance can provide complementary information; and their association with S-wave tomography image can produce a 3-D view of the underwater landslide. This study suggests that geophysical techniques may be effective tools for the detection of the underwater landslides and spatial distribution offshore.

Digital Restoration of Missing Parts and Production of Three-dimensional Printed Replicas the Stone Buddhas in Four Directions in Hwajeon-ri, Yesan, Korea (예산 화전리 석조사면불상의 결손부 디지털 복원 및 3차원 프린팅 복제모형 제작)

  • Lee Seungjun;Jo Younghoon;Kim Jiho;Cho Hyosik
    • Conservation Science in Museum
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    • v.29
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    • pp.99-110
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    • 2023
  • The stone fragments that are missing from the stone cultural heritage have limited use beyond being directly fitted to identify their original position, as they are relatively heavy and bulky, and there is the further risk of secondary physical damage during manual work. Therefore, in this study, morphological relationships between the missing parts and the stone fragments were identified through digital restoration, and a three-dimensional (3D) printed replica was created for use at the exhibition for Stone Buddhas in Four Directions in Hwajeon-ri, Yesan, where 72 stone fragments had been excavated together. First, for the digital restoration, stone fragments of similar shapes were selected after the coordinates of the 3D scanning model were aligned in virtual space. In addition, the stone fragments were printed using a 3D printer to check whether they were physically related to the missing parts. Thus, the original positions of a total of nine stone fragments were identified. To utilize these research results in the exhibition, a 1:1 replica of the Stone Buddhas in Four Directions was produced using 3D printing technology, and the nine stone fragments were also restored to their original positions. The digital technology used in this study is of great importance in that it not only made up for the limitations of the direct manual method but also suggested the possibility of expanding its application to the fields of documentation, restoration, and replication of similar cultural heritage.

A Study on Usability Evaluation of AR-based Online Archives Exhibition Platform: Focusing on June Democratic Struggle History Exhibition Case (AR기반 온라인 기록전시 플랫폼의 사용성 평가에 관한 연구 - 6월 민주 항쟁 역사 기획전 사례를 중심으로 -)

  • Jung, Chul;Lee, Soosang
    • Journal of Korean Library and Information Science Society
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    • v.53 no.1
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    • pp.125-148
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    • 2022
  • This study shows the process of designing and directly developing an online archives exhibition platform using AR (AR online archives exhibition platform) as a method for effectively providing online archives exhibition. Furthermore, the usability of the platform developed for actual users was evaluated. Related literature analysis was conducted to derive the functional requirements of the online archives exhibition platform to be guaranteed by the archives exhibition platform. Based on the derived functional requirements, six development strategies were established for the development of an AR online archives exhibition platform. The specific development of the platform was carried out using the Unity Engine and was based on the development strategy. After that, using the developed platform, 'June Democratic Struggle History Exhibition' was planned based on the collection of the Busan Democratic Park. Based on this, this study attempted to specifically evaluate the possibility of applying the actual exhibition service of the platform. Based on this, this study specifically evaluated the possibility of applying the actual exhibition service of the platform, and the usability of the AR online archives exhibition platform based on user experience (UX) was evaluated through platform demonstration for 35 actual users. According to the evaluation results, there were requirements for supplementation due to the use of advanced technology, but the main opinion was that it will be very positive at this time when untact services are being activated due to the Corona Pandemic.

Risk Assessment of Marine LPG Engine Using Fuzzy Multicriteria HAZOP Technique (퍼지 다기준 HAZOP 기법을 이용한 해상용 LPG 엔진의 위험성 평가)

  • Siljung Yeo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.2
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    • pp.238-247
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    • 2023
  • Liquefied petroleum gas (LPG) is an attractive fuel for ships considering its current technology and economic viability. However, safety guidelines for LPG-fueled ships are still under development, and there have been no cases of applying LPG propulsion systems to small and medium-sized ships in Korea. The purpose of this study was to perform an objective risk assessment for the first marine LPG engine system and propose safe operational standards. First, hazard and operability (HAZOP) analysis was used to divide the engine system into five nodes, and 58 hazards were identified. To compensate for the subjectivity of qualitative evaluation using HAZOP analysis, fuzzy set theory was used, and additional risk factors, such as detectability and sensitivity, were included to compare the relative weights of the risk factors using a fuzzy analytical hierarchy process. As a result, among the five risk factors, those with a major impact on risk were determined to be the frequency and severity. Finally, the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) was applied to select the risk rank more precisely by considering the weights of the risk factors. The risk level was divided into 47 groups, and the major hazard during the operation of the engine system was found through the analysis to be gas leakage during maintenance of the LPG supply line. The technique proposed can be applied to various facilities, such as LPG supply systems, and can be utilized as a standard procedure for risk assessment in developing safety standards for LPG-powered ships.

The Effect of Theory of Planned Behavior of Customized Cosmetics According to Selection Attributes on Purchase Satisfaction Behavioral Intention (선택속성에 따른 맞춤형화장품의 계획행동이론이 구매만족행동의도에 미치는 영향)

  • Kim, So-Ye;Baek, Won-Jin;Kim, Hyeon-Gyeong;Han, Chae-Jeong
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.222-235
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    • 2022
  • The Government provides a financial assistance to stimulate firm R&D and innovation activities. Previous papers on the impact of public subsidies on firm R&D investments mainly had a focus on an individual policy tool regardless of potential impacts of other policy instruments. This study addresses this gap by examining the effects of policy mix regarding a subsidy and a tax credit. The empirical analyses from fixed effect model using Survey on Technology of SMEs 2015-2017 revealed valuable points. First, policy mix induces more R&D investment of SMEs, which in turn, shows a complementary relationship between two instruments. Second, even if impact of tax credit controlled, subsidy is positively associated with SMEs R&D investment. These findings justify policy mix interventions to promote SME R&D activity. Moreover, grants can be applied as a more useful policy tool for SMEs that are constrained by resources and capabilities.