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A Study on the Accuracy Comparison of Object Detection Algorithms for 360° Camera Images for BIM Model Utilization (BIM 모델 활용을 위한 360° 카메라 이미지의 객체 탐지 알고리즘 정확성 비교 연구)

  • Hyun-Chul Joo;Ju-Hyeong Lee;Jong-Won Lim;Jae-Hee Lee;Leen-Seok Kang
    • Land and Housing Review
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    • 제14권3호
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    • pp.145-155
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    • 2023
  • Recently, with the widespread adoption of Building Information Modeling (BIM) technology in the construction industry, various object detection algorithms have been used to verify errors between 3D models and actual construction elements. Since the characteristics of objects vary depending on the type of construction facility, such as buildings, bridges, and tunnels, appropriate methods for object detection technology need to be employed. Additionally, for object detection, initial object images are required, and to obtain these, various methods, such as drones and smartphones, can be used for image acquisition. The study uses a 360° camera optimized for internal tunnel imaging to capture initial images of the tunnel structures of railway and road facilities. Various object detection methodologies including the YOLO, SSD, and R-CNN algorithms are applied to detect actual objects from the captured images. And the Faster R-CNN algorithm had a higher recognition rate and mAP value than the SSD and YOLO v5 algorithms, and the difference between the minimum and maximum values of the recognition rates was small, showing equal detection ability. Considering the increasing adoption of BIM in current railway and road construction projects, this research highlights the potential utilization of 360° cameras and object detection methodologies for tunnel facility sections, aiming to expand their application in maintenance.

Physio-mechanical and X-ray CT characterization of bentonite as sealing material in geological radioactive waste disposal

  • Melvin B. Diaz;Sang Seob Kim;Gyung Won Lee;Kwang Yeom Kim;Changsoo Lee;Jin-Seop Kim;Minseop Kim
    • Geomechanics and Engineering
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    • 제34권4호
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    • pp.449-459
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    • 2023
  • The design and development of underground nuclear waste repositories should cover the performance evaluation of the different components such as the construction materials because the long term stability will depend on their response to the surrounding conditions. In South Korea, Gyeonju bentonite has been proposed as a candidate to be used as buffer and backfilling material, especially in the form of blocks to speed up the construction process. In this study, various cylindrical samples were prepared with different dry density and water content, and their physical and mechanical properties were analyzed and correlated with X-ray CT observations. The main objective was to characterize the samples and establish correlations for non-destructive estimation of physical and mechanical properties through the utilization of X-ray CT images. The results showed that the Uniaxial Compression Strength and the P-wave velocity have an increasing relationship with the dry density. Also, a higher water content increased the values of the measure parameters, especially for the P-wave velocity. The X-ray CT analysis indicated a clear relation between the mean CT value and the dry density, Uniaxial Compression Strength, and P-wave velocity. The effect of the higher water content was also captured by the mean CT value. Also, the relationship between the mean CT value and the dry density was used to plot CT dry densities using CT images only. Moreover, the histograms also provided information about the samples heterogeneity through the histograms' full width at half maximum values. Finally, the particle size and heterogeneity were also analyzed using the Madogram function. This function identified small particles in uniform samples and large particles in some samples as a result of poor mixing during preparation. Also, the μmax value correlated with the heterogeneity, and higher values represented samples with larger ranges of CT values or particle densities. These image-based tools have been shown to be useful on the non-destructive characterization of bentonite samples, and the establishment of correlations to obtain physical and mechanical parameters solely from CT images.

Developing a Subjective Measure of the Quality of City Life (QCL) : The Case of Seoul (도시 생활의 질(Quality of City Life) 측정 도구의 개발 : 서울시를 중심으로)

  • Dong Jin Lee;Grace B. Yu
    • Asia Marketing Journal
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    • 제13권1호
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    • pp.1-26
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    • 2011
  • Measuring the quality of city life (QCL) is important for city marketing given that QCL influences the city brand image and resident city relationship. Despite its importance, most previous measures of community well being were developed in the context of small towns, and limited attention has been given to a subjective measure of QCL in the context of a large city. This study develops and tests a subjective measure of quality of city life (QCL) in the context of a large metropolitan city. Quality of city life (QCL) refers to the degree of need satisfaction and feelings of happiness one experiences during the course of city life. The results from a survey of 507 residents from 25 major districts in Seoul indicate that the QCL measure has convergent and discriminate validity. The results also indicate that QCL has predictive validity in relation to satisfaction with city services, trust in the city government, word of mouth communication, and a sense of citizen pride. The managerial and policy implications of this study are discussed.

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The Red Book : the East and West Issues - With Special Reference to Lao Zi, Dao De Jing - (『붉은 책』 -동서(東西)의 문제, 특히 노자(老子) 도덕경과 관련하여)

  • Bou-Yong Rhi
    • Sim-seong Yeon-gu
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    • 제30권1호
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    • pp.1-30
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    • 2015
  • The Red Book contains C.G. Jung's insightful comment on life suggesting the thoughts of the Eastern philosophers, particularly that of Lao Zi. The author reviewed Jung's commentaries in the Red Book in comparison with Lao Zi Dao De Jing. Jung's comments on the image of despised Surpreme Being, on the Simplicity, the attitudes of 'the Spirit of the Depth' toward intellectual knowledges and speech, toward the small and the mockered one resemble to what Lao Zi spoke on Dao in his Dao De Jing. The 'good and evil' are regarded by both C.G. Jung and Lao Zi as two poles in one total psyche. The favorite words of Lao Zi : 'emptiness' or 'empty' are frequently mentioned in the Red Book. The investigation in this concern revealed that C.G. Jung, contrary to Lao Zi has applied the word 'emptiness' mostly as the opposite to the fullness. C.G. Jung's way of encountering with the darkest side of soul in the Hell and his bold confrontation to the authoritative person such as Philemon, above all, the intensity of his experiences in the state of the utmost tension between the opposites are extraordinarily impressive and somehow strange when regarded from traditional eastern way of behavior such as I-You relationship and the patterns of emotional life based on Confucian tradition. Confucius never talked about the prodigies, feasts of strength and disorders or spirits. Lao Zi never mentioned infernal cruelty. Noteworthy is however, both have enough experienced the cruelty of life and conflicts in the reality and what they spoke was not a process in search for solution but the final proposals for the solution of human agony. C.G. Jung was, like great shaman in central and East-Asia forced to go through inferno in his unique way and from these experiences obtained the insight which resembles not only to Lao Zi but also to wisdoms from the western philosophies and also from the Christianity.

Assessing Techniques for Advancing Land Cover Classification Accuracy through CNN and Transformer Model Integration (CNN 모델과 Transformer 조합을 통한 토지피복 분류 정확도 개선방안 검토)

  • Woo-Dam SIM;Jung-Soo LEE
    • Journal of the Korean Association of Geographic Information Studies
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    • 제27권1호
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    • pp.115-127
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    • 2024
  • This research aimed to construct models with various structures based on the Transformer module and to perform land cover classification, thereby examining the applicability of the Transformer module. For the classification of land cover, the Unet model, which has a CNN structure, was selected as the base model, and a total of four deep learning models were constructed by combining both the encoder and decoder parts with the Transformer module. During the training process of the deep learning models, the training was repeated 10 times under the same conditions to evaluate the generalization performance. The evaluation of the classification accuracy of the deep learning models showed that the Model D, which utilized the Transformer module in both the encoder and decoder structures, achieved the highest overall accuracy with an average of approximately 89.4% and a Kappa coefficient average of about 73.2%. In terms of training time, models based on CNN were the most efficient. however, the use of Transformer-based models resulted in an average improvement of 0.5% in classification accuracy based on the Kappa coefficient. It is considered necessary to refine the model by considering various variables such as adjusting hyperparameters and image patch sizes during the integration process with CNN models. A common issue identified in all models during the land cover classification process was the difficulty in detecting small-scale objects. To improve this misclassification phenomenon, it is deemed necessary to explore the use of high-resolution input data and integrate multidimensional data that includes terrain and texture information.

Diagnostic Performance Using a Combination of MRI Findings for Evaluating Cognitive Decline (인지기능 저하평가를 위한 MR 영상 소견 조합의 진단능)

  • Jin Young Byun;Min Kyoung Lee;So Lyung Jung
    • Journal of the Korean Society of Radiology
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    • 제85권1호
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    • pp.184-196
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    • 2024
  • Purpose We investigated potentially promising imaging findings and their combinations in the evaluation of cognitive decline. Materials and Methods This retrospective study included 138 patients with subjective cognitive impairments, who underwent brain MRI. We classified the same group of patients into Alzheimer's disease (AD) and non-AD groups, based on the neuropsychiatric evaluation. We analyzed imaging findings, including white matter hyperintensity (WMH) and cerebral microbleeds (CMBs), using the Kruskal-Wallis test for group comparison, and receiver operating characteristic (ROC) curve analysis for assessing the diagnostic performance of imaging findings. Results CMBs in the lobar or deep locations demonstrated higher prevalence in the patients with AD compared to those in the non-AD group. The presence of lobar CMBs combined with periventricular WMH (area under the ROC curve [AUC] = 0.702 [95% confidence interval: 0.599-0.806], p < 0.001) showed the highest performance in differentiation of AD from non-AD group. Conclusion Combinations of imaging findings can serve as useful additive diagnostic tools in the assessment of cognitive decline.

Application of Geo-Segment Anything Model (SAM) Scheme to Water Body Segmentation: An Experiment Study Using CAS500-1 Images (수체 추출을 위한 Geo-SAM 기법의 응용: 국토위성영상 적용 실험)

  • Hayoung Lee;Kwangseob Kim;Kiwon Lee
    • Korean Journal of Remote Sensing
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    • 제40권4호
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    • pp.343-350
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    • 2024
  • Since the release of Meta's Segment Anything Model (SAM), a large-scale vision transformer generation model with rapid image segmentation capabilities, several studies have been conducted to apply this technology in various fields. In this study, we aimed to investigate the applicability of SAM for water bodies detection and extraction using the QGIS Geo-SAM plugin, which enables the use of SAM with satellite imagery. The experimental data consisted of Compact Advanced Satellite 500 (CAS500)-1 images. The results obtained by applying SAM to these data were compared with manually digitized water objects, Open Street Map (OSM), and water body data from the National Geographic Information Institute (NGII)-based hydrological digital map. The mean Intersection over Union (mIoU) calculated for all features extracted using SAM and these three-comparison data were 0.7490, 0.5905, and 0.4921, respectively. For features commonly appeared or extracted in all datasets, the results were 0.9189, 0.8779, and 0.7715, respectively. Based on analysis of the spatial consistency between SAM results and other comparison data, SAM showed limitations in detecting small-scale or poorly defined streams but provided meaningful segmentation results for water body classification.

GPR Development for Landmine Detection (지뢰탐지를 위한 GPR 시스템의 개발)

  • Sato, Motoyuki;Fujiwara, Jun;Feng, Xuan;Zhou, Zheng-Shu;Kobayashi, Takao
    • Geophysics and Geophysical Exploration
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    • 제8권4호
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    • pp.270-279
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    • 2005
  • Under the research project supported by Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT), we have conducted the development of GPR systems for landmine detection. Until 2005, we have finished development of two prototype GPR systems, namely ALIS (Advanced Landmine Imaging System) and SAR-GPR (Synthetic Aperture Radar-Ground Penetrating Radar). ALIS is a novel landmine detection sensor system combined with a metal detector and GPR. This is a hand-held equipment, which has a sensor position tracking system, and can visualize the sensor output in real time. In order to achieve the sensor tracking system, ALIS needs only one CCD camera attached on the sensor handle. The CCD image is superimposed with the GPR and metal detector signal, and the detection and identification of buried targets is quite easy and reliable. Field evaluation test of ALIS was conducted in December 2004 in Afghanistan, and we demonstrated that it can detect buried antipersonnel landmines, and can also discriminate metal fragments from landmines. SAR-GPR (Synthetic Aperture Radar-Ground Penetrating Radar) is a machine mounted sensor system composed of B GPR and a metal detector. The GPR employs an array antenna for advanced signal processing for better subsurface imaging. SAR-GPR combined with synthetic aperture radar algorithm, can suppress clutter and can image buried objects in strongly inhomogeneous material. SAR-GPR is a stepped frequency radar system, whose RF component is a newly developed compact vector network analyzers. The size of the system is 30cm x 30cm x 30 cm, composed from six Vivaldi antennas and three vector network analyzers. The weight of the system is 17 kg, and it can be mounted on a robotic arm on a small unmanned vehicle. The field test of this system was carried out in March 2005 in Japan.

Target dose study of effects of changes in the AAA Calculation resolution on Lung SABR plan (Lung SABR plan시 AAA의 Calculation resolution 변화에 의한 Target dose 영향 연구)

  • Kim, Dae Il;Son, Sang Jun;Ahn, Bum Seok;Jung, Chi Hoon;Yoo, Suk Hyun
    • The Journal of Korean Society for Radiation Therapy
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    • 제26권2호
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    • pp.171-176
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    • 2014
  • Purpose : Changing the calculation grid of AAA in Lung SABR plan and to analyze the changes in target dose, and investigated the effects associated with it, and considered a suitable method of application. Materials and Methods : 4D CT image that was used to plan all been taken with Brilliance Big Bore CT (Philips, Netherlands) and in Lung SABR plan($Eclipse^{TM}$ ver10.0.42, Varian, the USA), use anisotropic analytic algorithm(AAA, ver.10, Varian Medical Systems, Palo Alto, CA, USA) and, was calculated by the calculation grid 1.0, 3.0, 5.0 mm in each Lung SABR plan. Results : Lung SABR plan of 10 cases are using each of 1.0 mm, 3.0 mm, 5.0 mm calculation grid, and in case of use a 1.0 mm calculation grid $V_{98}$. of the prescribed dose is about $99.5%{\pm}1.5%$, $D_{min}$ of the prescribed dose is about $92.5{\pm}1.5%$ and Homogeneity Index(HI) is $1.0489{\pm}0.0025$. In the case of use a 3.0 mm calculation grid $V_{98}$ dose of the prescribed dose is about $90{\pm}4.5%$, $D_{min}$ of the prescribed dose is about $87.5{\pm}3%$ and HI is about $1.07{\pm}1$. In the case of use a 5.0 mm calculation grid $V_{98}$ dose of the prescribed dose is about $63{\pm}15%$, $D_{min}$ of the prescribed dose is about $83{\pm}4%$ and HI is about $1.13{\pm}0.2$, respectively. Conclusion : The calculation grid of 1.0 mm is better improves the accuracy of dose calculation than using 3.0 mm and 5.0 mm, although calculation times increase in the case of smaller PTV relatively. As lung, spread relatively large and low density and small PTV, it is considered and good to use a calculation grid of 1.0 mm.

Dose Verification Using Pelvic Phantom in High Dose Rate (HDR) Brachytherapy (자궁경부암용 팬톰을 이용한 HDR (High dose rate) 근접치료의 선량 평가)

  • 장지나;허순녕;김회남;윤세철;최보영;이형구;서태석
    • Progress in Medical Physics
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    • 제14권1호
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    • pp.15-19
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    • 2003
  • High dose rate (HDR) brachytherapy for treating a cervix carcinoma has become popular, because it eliminates many of the problems associated with conventional brachytherapy. In order to improve the clinical effectiveness with HDR brachytherapy, a dose calculation algorithm, optimization procedures, and image registrations need to be verified by comparing the dose distributions from a planning computer and those from a phantom. In this study, the phantom was fabricated in order to verify the absolute doses and the relative dose distributions. The measured doses from the phantom were then compared with the treatment planning system for the dose verification. The phantom needs to be designed such that the dose distributions can be quantitatively evaluated by utilizing the dosimeters with a high spatial resolution. Therefore, the small size of the thermoluminescent dosimeter (TLD) chips with a dimension of <1/8"and film dosimetry with a spatial resolution of <1mm used to measure the radiation dosages in the phantom. The phantom called a pelvic phantom was made from water and the tissue-equivalent acrylic plates. In order to firmly hold the HDR applicators in the water phantom, the applicators were inserted into the grooves of the applicator holder. The dose distributions around the applicators, such as Point A and B, were measured by placing a series of TLD chips (TLD-to-TLD distance: 5mm) in the three TLD holders, and placing three verification films in the orthogonal planes. This study used a Nucletron Plato treatment planning system and a Microselectron Ir-192 source unit. The results showed good agreement between the treatment plan and measurement. The comparisons of the absolute dose showed agreement within $\pm$4.0 % of the dose at point A and B, and the bladder and rectum point. In addition, the relative dose distributions by film dosimetry and those calculated by the planning computer show good agreement. This pelvic phantom could be a useful to verify the dose calculation algorithm and the accuracy of the image localization algorithm in the high dose rate (HDR) planning computer. The dose verification with film dosimetry and TLD as quality assurance (QA) tools are currently being undertaken in the Catholic University, Seoul, Korea.

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