• Title/Summary/Keyword: Architectural Image

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Observation of reinforcing fibers in concrete upon bending failure by X-ray computed tomographic imaging

  • Seok Yong Lim;Kwang Soo Youm;Kwang Yeom Kim;Yong-Hoon Byun;Young K. Ju;Tae Sup Yun
    • Computers and Concrete
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    • v.31 no.5
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    • pp.433-442
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    • 2023
  • This study presents the visually observed behavior of fibers embedded in concrete samples that were subjected to a flexural bending test. Three types of fibers such as macro polypropylene, macro polyethylene, and the hybrid of steel and polyvinyl alcohol were mixed with cement by a designated mix ratio to prepare a total of nine specimens of each. The bending test was conducted by following ASTM C1609 with a net deflection of 2, 4, and 7 mm. The X-ray computed tomography (XCT) was carried out for 7 mm-deflection specimens. The original XCT images were post-processed to denoise the beam-hardening effect. Then, fiber, crack, and void were semi-manually segmented. The hybrid specimen showed the highest toughness compared to the other two types. Debonding based on 2D XCT sliced images was commonly observed for all three groups. The cement matrix near the crack surface often involved partially localized breakage in conjunction with debonding. The pullout was predominant for steel fibers that were partially slipped toward the crack. Crack bridging and rupture were not found presumably due to the image resolution and the level of energy dissipation for poly-fibers, while the XCT imaging was advantageous in evaluating the distribution and behavior of various fibers upon bending for fiber-reinforced concrete beam elements.

A deep and multiscale network for pavement crack detection based on function-specific modules

  • Guolong Wang;Kelvin C.P. Wang;Allen A. Zhang;Guangwei Yang
    • Smart Structures and Systems
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    • v.32 no.3
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    • pp.135-151
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    • 2023
  • Using 3D asphalt pavement surface data, a deep and multiscale network named CrackNet-M is proposed in this paper for pixel-level crack detection for improvements in both accuracy and robustness. The CrackNet-M consists of four function-specific architectural modules: a central branch net (CBN), a crack map enhancement (CME) module, three pooling feature pyramids (PFP), and an output layer. The CBN maintains crack boundaries using no pooling reductions throughout all convolutional layers. The CME applies a pooling layer to enhance potential thin cracks for better continuity, consuming no data loss and attenuation when working jointly with CBN. The PFP modules implement direct down-sampling and pyramidal up-sampling with multiscale contexts specifically for the detection of thick cracks and exclusion of non-crack patterns. Finally, the output layer is optimized with a skip layer supervision technique proposed to further improve the network performance. Compared with traditional supervisions, the skip layer supervision brings about not only significant performance gains with respect to both accuracy and robustness but a faster convergence rate. CrackNet-M was trained on a total of 2,500 pixel-wise annotated 3D pavement images and finely scaled with another 200 images with full considerations on accuracy and efficiency. CrackNet-M can potentially achieve crack detection in real-time with a processing speed of 40 ms/image. The experimental results on 500 testing images demonstrate that CrackNet-M can effectively detect both thick and thin cracks from various pavement surfaces with a high level of Precision (94.28%), Recall (93.89%), and F-measure (94.04%). In addition, the proposed CrackNet-M compares favorably to other well-developed networks with respect to the detection of thin cracks as well as the removal of shoulder drop-offs.

A preliminary study for development of an automatic incident detection system on CCTV in tunnels based on a machine learning algorithm (기계학습(machine learning) 기반 터널 영상유고 자동 감지 시스템 개발을 위한 사전검토 연구)

  • Shin, Hyu-Soung;Kim, Dong-Gyou;Yim, Min-Jin;Lee, Kyu-Beom;Oh, Young-Sup
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.19 no.1
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    • pp.95-107
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    • 2017
  • In this study, a preliminary study was undertaken for development of a tunnel incident automatic detection system based on a machine learning algorithm which is to detect a number of incidents taking place in tunnel in real time and also to be able to identify the type of incident. Two road sites where CCTVs are operating have been selected and a part of CCTV images are treated to produce sets of training data. The data sets are composed of position and time information of moving objects on CCTV screen which are extracted by initially detecting and tracking of incoming objects into CCTV screen by using a conventional image processing technique available in this study. And the data sets are matched with 6 categories of events such as lane change, stoping, etc which are also involved in the training data sets. The training data are learnt by a resilience neural network where two hidden layers are applied and 9 architectural models are set up for parametric studies, from which the architectural model, 300(first hidden layer)-150(second hidden layer) is found to be optimum in highest accuracy with respect to training data as well as testing data not used for training. From this study, it was shown that the highly variable and complex traffic and incident features could be well identified without any definition of feature regulation by using a concept of machine learning. In addition, detection capability and accuracy of the machine learning based system will be automatically enhanced as much as big data of CCTV images in tunnel becomes rich.

Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study (딥러닝 알고리즘을 이용한 저선량 디지털 유방 촬영 영상의 복원: 예비 연구)

  • Su Min Ha;Hak Hee Kim;Eunhee Kang;Bo Kyoung Seo;Nami Choi;Tae Hee Kim;You Jin Ku;Jong Chul Ye
    • Journal of the Korean Society of Radiology
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    • v.83 no.2
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    • pp.344-359
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    • 2022
  • Purpose To develop a denoising convolutional neural network-based image processing technique and investigate its efficacy in diagnosing breast cancer using low-dose mammography imaging. Materials and Methods A total of 6 breast radiologists were included in this prospective study. All radiologists independently evaluated low-dose images for lesion detection and rated them for diagnostic quality using a qualitative scale. After application of the denoising network, the same radiologists evaluated lesion detectability and image quality. For clinical application, a consensus on lesion type and localization on preoperative mammographic examinations of breast cancer patients was reached after discussion. Thereafter, coded low-dose, reconstructed full-dose, and full-dose images were presented and assessed in a random order. Results Lesions on 40% reconstructed full-dose images were better perceived when compared with low-dose images of mastectomy specimens as a reference. In clinical application, as compared to 40% reconstructed images, higher values were given on full-dose images for resolution (p < 0.001); diagnostic quality for calcifications (p < 0.001); and for masses, asymmetry, or architectural distortion (p = 0.037). The 40% reconstructed images showed comparable values to 100% full-dose images for overall quality (p = 0.547), lesion visibility (p = 0.120), and contrast (p = 0.083), without significant differences. Conclusion Effective denoising and image reconstruction processing techniques can enable breast cancer diagnosis with substantial radiation dose reduction.

A Study on Soviet Constructive Fashion in 1920s (1920년대 소비에트 구성주의 패션에 관한 연구)

  • 조윤경;금기숙
    • Journal of the Korean Society of Costume
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    • v.36
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    • pp.183-203
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    • 1998
  • The wave of Avant-garde swept away all in the unique social background so called 'October Revolution' and the early 1900 Russian society which was able to absorb and accept anything. The Russian avant-garde has been affected by the Cubism and the Futurism those had peculiarly appeared in the early twentieth century, spreaded out to three spheres: the Suprematism, the Rayonism and the Constructivism. The Russian Constructivism has appeared in this background, concretely and ideally ex-pressed the ideology of the revolution into the artistic form and made an huge influence to the whole Russian society. The Constructivist like Tatlin, naum Gabo, Pevaner, Rodchenko, Stepanova, Popova and Exter gave great effect on the Soviet Constructive fashion design in 1920's after the Revolution. The Soviet costume in 1920s hold in common the characteristicss of the Constructive graphic as it is, geometrical and abstractive form, energetic and motility. In fashion design, these graphic qualities have been showed as the application of geometrical form and architectural image, physical distortion and transformation. And in textile design, the simple, dynamical presentation has been appeared. We can classify the Soviet costume at this time into three occasions. The first term is from late 1910 th mid 1920, and it is altered from folk costume design to modern one. With Lamanova as the first on the list, using the folk mitif, the Constructive expression of simple form has been gradually revealed in design. Designers like Makarova, Pribylskaia and Mukhina produced the plane, simple chemise style with the decoration of the Russian traditional motif. From early to late 1920 is the second term, and it is at the pick of the most active processing of the Constructive design. Not only at the costume in daily life but also at the theatrical costume and textile, the con-structive design has been represented all avail-able fields. Many Constructivists including Stepanova, Popova, Exter and Rodchenko took part in the textile design and costume design so as to evlvo their aesthetic concept. The third term is from late 1920 to early 1930. The socialistic realism has dominated over the whole culture and art, the revolutionary dynamic motif has been presented also in textile design. The formative features of Soviet Constructive fashion design are; silhouette, from, motif, color and fabric. The first, the silhouette : a straight rectangular silhouetted has been expressed through the whole period and a volumed one with distorted human body shape has introduced in the theatrical costume design. The second, the form: many lengthened rectangular forms have been made at beginnings, but to the middle period, geometrical, architectural forms have been more showed and there are energy and movement in design. At the last period, only a partial feature-division has been seen. The third, the motif; no pattern or ethnic motif has been partly used at beginnings, a figure like circle, tri-angle has gradually appeared in textile design. At latter period, a real-existent motif like an airplane has been represented with graphing and simplicity. The fourth, the color ; because of insufficient dyeing, neutral color like black or grey color has been mainly covered, but after middle term, a primary color or pastel tone has been seen, contrast of the fabric; without much development of textile industry after the Revolution, thick and durable fabrics have been the main stream, but as time had going to the last period, fabrics such as linen, cotton, velvet and silk have been varously choesn. At the theatrical costume, new materials like plastics and metals that were able to accentuate the form. The pursuit of popularity, simplicity and functionalism that the basic concept of Constructive fashion is one of the "beauty" which has been searching in modern fashion. And now we can appreciate how innovative and epochal this Soviet Constructive fashion movement was.ement was.

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Downscaling GPM Precipitation Using Finer-scale MODIS Based Optical Image in Korean Peninsula (MODIS 광학 영상 자료를 통한 한반도 GPM 강우 자료의 상세화 기법)

  • Oh, Seungcheol;Jeong, Jaehwan;Lee, Seulchan;Choi, Minha
    • Korean Journal of Remote Sensing
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    • v.36 no.5_1
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    • pp.749-762
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    • 2020
  • Precipitation is closely related to various hydrometeorological phenomena, such as runoff and evapotranspiration. In Korean Peninsula, observing rainfall intensity using weather radar and rain gauge network is dominating due to their accurate, intuitive and precise detecting power. However,since these methods are not suitable at ungauged regions, rainfall detection using satellite is required. Satellite-based rainfall data has coarse spatial resolution (10 km, 25 km), and has a limited range of usage due to its reliability of data. The aim of this study is to obtain finer scale precipitation. Especially, to make the applicability of satellite higher at ungauged regions, 10 km satellite-based rainfall data was downscaled to 1 km data using MODerate Resolution Imaging Spectroradiometer (MODIS) based cloud property. Downscaled precipitation was verified in urban region, which has complex topographical and environmental characteristics. Correlation coefficient was similar in summer (+0), decreased in spring (-0.08) and autumn (-0.01), and increased in winter (+0.04) season compared to Global Precipitation Measurement (GPM) based precipitation. Downscaling without calibration using in situ data could be useful in areas where rain gauge system is not sufficient or ground observations are rarely available.

A Study on the Ride Film Appearing in Virtual Reality - the focus of Warrior of the Dawn - (가상현실에서 표출된 라이드필름 제작 사례연구 - Warrior of the Dawn 제작사례를 중심 -)

  • Kim, Tae-Hyung;Chung, Jean-Hun
    • Journal of Korea Multimedia Society
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    • v.11 no.9
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    • pp.1204-1212
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    • 2008
  • The vehicle simulation (flight simulator) in 1920's was the first in the virtual reality. With the development of precise optical and electromagnetic equipment, the virtual reality widened its application for other purposes than military one. Based on the realistic display technology, it is more and more common in the various areas such as entertainment, medical profession, learning, film, architectural design, tourism and etc. In 1989, Jaron Ranier was the first to use the terminology 'Virtual Reality'. With this term, all virtual projects could be classified in a single item. But even before the term was used, the virtual reality has been studied up to now. As a part of virtual reality, the human thirst for the impossible thing has led to the development of ride film. The ride film consists of the special technical elements as well as the psychological analysis of human being. The ultimate purpose of virtual reality is engrossment through interaction. Even though the real interaction requires interface, input sensor and reaction ability, the ride film is not an element of the typical interaction. The virtual reality is mostly defined in technical terms now. But in this study, we will analyze the concepts worked out by Professor Michael Haim who is called a philosopher in the cyberspace in aspect of experience-oriented definition. We will analyze the adaptability of virtual reality based on his concepts such as artificial reality/ interaction/ engrossment/ networked world/ remote display/ simulation/ onmon engrossment. And also, we aim to suggest the directions of developing the ride films for perfect engrossment and to draw optimized conclusion thereon. In this viewpoint, we consider that the study of ride film on which there were few case studies will contribute to level up the basic frameworks of IT technology and the digital image.

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A Classification of Korean Traditional Materials Focused on Visual Texture (시각적 질감을 중심으로 한 한국 전통소재의 체계적 분류)

  • 박영순;김영인;이현주;신인호;최선미;최희승
    • Archives of design research
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    • v.14 no.2
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    • pp.197-207
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    • 2001
  • A designed object reveals its meaning and image through form, color and material. Among these three elements, material has more powerful influence with its tactile and visual characteristics. In Korea, traditionally materials itself were mainly used to design artifacts rather than various color or formal decoration. The purpose of this study is to investigate the Korean traditional materials, and to classify them by the characteristics of their texture. For this study, the pictures of Korean traditional artifacts were collected from the national museums and literature. Those are architectural and interior elements, furniture, cloths and textiles, arts and crafts. Total of 533 collected artifacts were classified into seven categories, metal, day, stone, paper, wood, straw, fabric things. : 59 metal things, 115 clay things, 62 stone things, 73 paper things, 80 wood things, 47 straw things, 97 fabric things. Each materials were classified into its forming methods and surface treatment focused on the he characteristics of their surface texture. Throughout this study, the uniqueness of forming method and surface treatment of each materials in Korea has been clarified. And furthermore the classification by this various traditional methods of materials will provide plentiful information and ideas to today's designers of the world.

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A Study of the Fengshui Marketing Model in the Housing Industry (주택산업의 풍수마케팅 모형 정립에 관한 연구)

  • Kim, Jong-Seop
    • Journal of Distribution Science
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    • v.10 no.5
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    • pp.29-36
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    • 2012
  • This paper aims to establish a Fengshui-based marketing model that companies engaged in selling dwelling spaces can utilize to increase their sales. The study is based on an investigation of appraisal statements and analysis techniques used in Fengshui. The Fengshui marketing model can be used for corporate advertising, sales promotions, public relations events, and for framing an overall marketing strategy according to changing consumer demand. As a sales promotion strategy, it can be used to influence consumer psychology and behavior. Although this study is limited to the all-pervasive advertising and marketing of houses by construction companies under installment plans, the Fengshui marketing method can also be used for the sale of store locations, space for product display, and so on. Initially, I analyze living spaces according to traditional Fengshui theory, and subsequently apply the modern method to study topographical space structures and geomagnetism disturbances. I present a standard form for writing the Fengshui appraisal statement based on the objective analytical method of Fengshui. With its shortcomings remedied, the appraisal statement can lead to high-quality advertising and increased valuations because it is based on objective data analysis and systematic evaluation of houses. In brief, I have designed the Fengshui marketing model as a sales promotion technique for the housing industry. I believe this study will contribute to the application of Fengshui in the housing industry's sales promotion efforts through high-quality advertising. Future research should evaluate Fengshui marketing in the housing industry based on case studies. Research questions to be addressed could include how Fengshui marketing has affected installment sales of houses and how Fengshui architectural practices affect general well-being. These studies would help propagate Fengshui marketing by validating its effectiveness. In addition, case studies should be undertaken to consider the practical applications of Fengshui marketing, how it can contribute to maximizing a company's image and profits, and how it can promote customer satisfaction.

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Estimation of Water Quality using Landsat 8 Images for Geum-river, Korea (Landsat 8 이미지영상을 이용한 영양염류농도 추정; 금강을 대상으로)

  • Lim, Jisang;Baik, Jongjin;Kim, Hyunglok;Choi, Minha
    • Journal of Korea Water Resources Association
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    • v.48 no.2
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    • pp.79-90
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    • 2015
  • In this study, the water quality parameters of Geum-river were estimated using Landsat 8 satellite image data which had launched in March 2013. The goal of this research is to predict HAB and to monitor spatial pattern of total nitrogen (TN) and total phosphorus (TP) because both TN and TP are the dominant factors of the growth of harmful algal blooms (HABs). To investigate the relationship between satellite band reflectance and in situ measurement value, Pearson' correlation coefficient analysis was used. The band2, 3, 4 and 5 reflectance values among 11 bands of Landsat 8 were used which was highly associated with detecting TN and TP. The 20 in situ data set with satellite's overpass time were identified. TN showed positive relation with band 2 (0.48), band3 (0.62), band4 (0.57) at a significance level of p<0.05. TP also showed high correlation for band2 (0.59), band3 (0.59), band4 (0.58) at a significance level of p<0.01. The optimal regression equation models were constructed for TN and TP based on multiple regression equations. The estimated concentration based on derived regression equations of TN and TP were compared with in situ measurement data. Finally, the spatial pattern of the two parameters was able be monitored through mapping on November 12, 2013 and April 21, 2014.