• Title/Summary/Keyword: Diagnosis Area

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Agricultural Drought Assessment and Diagnosis Based on Spatiotemporal Water Supply in Irrigated Area (필지단위 관개용수 공급에 따른 농업가뭄진단 평가)

  • Shin, Ji-Hyeon;Nam, Won-Ho;Kim, Ha-Young;Mun, Young-Sik;Bang, Na-Kyoung;Lee, Jueng-Chol;Lee, Kwang-Ya
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.4
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    • pp.1-12
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    • 2021
  • Agricultural drought is a natural phenomenon that is not easy to observe and predict and is difficult to quantify. In South Korea, the amount of agricultural water used is large and the types of use are varied, so even if an agricultural drought occurs due to insufficient precipitation, the drought actually felt in the irrigated area is it can be temporally and spatially different. In order to interpret the general drought in the past, drought disasters were evaluated using single indicators such as drought damage area, precipitation shortage status, and drought index, and a comprehensive drought management system is needed through drought diagnosis survey. Therefore, we intend to conduct research on agricultural drought assessment and diagnosis using re-evaluation of agricultural facilities and irrigation water supply network due to changes in various conditions such as climate change, irrigation canal network, and evaluation of water supply capacity of agricultural facilities. In this study, agricultural drought diagnosis was conducted on two agricultural reservoirs located in Sangju, Gyeongsangbuk-do, with structural or non-structural evaluations to increase spatiotemporal water supply and efficiency in terms of water shortages. The results of the agricultural drought diagnosis evaluation can be used to identify irrigated areas and canal network vulnerable to drought and to prioritize drought response.

Some Worthy Signal Processing Techniques for Mechanical Fault Diagnosis

  • Chan, Jin
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.05a
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    • pp.39-52
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    • 2002
  • Research Direction The significant research direction in mechanical fault diagnosis area: Theorles and approaches for fault feature extracting and fault classification. Identification Complicated fault generating mechanism and its model Intelligent fault diagnosis system (including the expert system and network based remote diagnosis system) One of the Key Points: Fault feature extracting techniques based on (modern) signal processing(omitted)

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Metal artifact production and reduction in CBCT with different numbers of basis images

  • Queiroz, Polyane Mazucatto;Santaella, Gustavo Machado;Groppo, Francisco Carlos;Freitas, Deborah Queiroz
    • Imaging Science in Dentistry
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    • v.48 no.1
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    • pp.41-44
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    • 2018
  • Purpose: To evaluate the effect of different numbers of basis images and the use of metal artifact reduction (MAR) on the production and reduction of artifacts in cone-beam computed tomography images. Materials and Methods: An acrylic resin phantom with a metal alloy sample was scanned, with 450 or 720 basis images and with or without MAR. Standard deviation values for the test areas (around the metal object) were obtained as a way of measuring artifact production. Two-way analysis of variance was used with a 5% significance level. Results: There was no significant difference in artifact production among the images obtained with different numbers of basis images without MAR (P=.985). MAR significantly reduced artifact production in the test areas only in the protocol using 720 basis images (P=.017). The protocol using 450 basis images with MAR showed no significant difference in artifact production when compared to the protocol using 720 basis images with MAR (P=.579). Conclusion: Protocols with a smaller number of basis images and with MAR activated are preferable for minimizing artifact production in tomographic images without exposing the patient to a greater radiation dose.

A Study on Computer Assisted Diagnosis System(CAD) of Lung Cancer (폐암 자동진단 시스템에 관한 기본적 연구)

  • Moon, J.Y.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.05
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    • pp.465-468
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    • 1997
  • A Study on Computer Assisted Diagnosis (CAD) system extract ing lung cancer part from Digital X-ray Computerized Tomography(CT) image is discussed in this paper. It is very crucial to segment the image of lung into the three organ area such as inside, outside and the hilum so that the variant image processing algorithm can be applied an each area respectively. In this paper, the efficient algorithm extracting lung cancer part is proposed with characterizing lung hilum part and its associated vessel patterns.

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Esthetic Implant Prostheses for Anterior Teeth (심미적인 상악 전치부 임플란트 보철물 만들기)

  • Kim, Ki-Seong
    • The Journal of the Korean dental association
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    • v.56 no.9
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    • pp.492-502
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    • 2018
  • Anterior maxillary teeth play an important role in determining a person's first impression and facial profile. Implant surgery in esthetic area requires more careful diagnosis, treatment planning, surgery, and prosthetic restoration than in posterior area. To avoid complications in surgery and prosthetic restoration for implants in esthetic area, accurate diagnosis and appropriate case selection become very important. If you have decided to restore the area with implant prosthesis, you have to know exactly where to place an implant. I will discuss the ideal implant position in terms of mesio-distally, apico-coronally, labio-palatally, and implant angulation. And I would like to point out the selection of fixture diameter & length for anterior implant. Finally, a clinical implant prosthesis case in maxillary central incisor will be shown. In conclusion, for superior esthetic outcome in anterior implant prostheses, we must understand the patient's anatomic condition and know our ability.

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Quantitative assessment of image artifacts from root filling materials on CBCT scans made using several exposure parameters

  • Rabelo, Katharina Alves;Cavalcanti, Yuri Wanderley;de Oliveira Pinto, Martina Gerlane;Melo, Saulo Leonardo Sousa;Campos, Paulo Sergio Flores;de Andrade Freitas Oliveira, Luciana Soares;de Melo, Daniela Pita
    • Imaging Science in Dentistry
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    • v.47 no.3
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    • pp.189-197
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    • 2017
  • Purpose: To quantify artifacts from different root filling materials in cone-beam computed tomography (CBCT) images acquired using different exposure parameters. Materials and Methods: Fifteen single-rooted teeth were scanned using 8 different exposure protocols with 3 different filling materials and once without filling material as a control group. Artifact quantification was performed by a trained observer who made measurements in the central axial slice of all acquired images in a fixed region of interest using ImageJ. Hyperdense artifacts, hypodense artifacts, and the remaining tooth area were identified, and the percentages of hyperdense and hypodense artifacts, remaining tooth area, and tooth area affected by the artifacts were calculated. Artifacts were analyzed qualitatively by 2 observers using the following scores: absence (0), moderate presence (1), and high presence (2) for hypodense halos, hypodense lines, and hyperdense lines. Two-way ANOVA and the post-hoc Tukey test were used for quantitative and qualitative artifact analysis. The Dunnet test was also used for qualitative analysis. The significance level was set at P<.05. Results: There were no significant interactions among the exposure parameters in the quantitative or qualitative analysis. Significant differences were observed among the studied filling materials in all quantitative analyses. In the qualitative analyses, all materials differed from the control group in terms of hypodense and hyperdense lines (P<.05). Fiberglass posts did not differ statistically from the control group in terms of hypodense halos(P>.05). Conclusion: Different exposure parameters did not affect the objective or subjective observations of artifacts in CBCT images; however, the filling materials used in endodontic restorations did affect both types of assessments.

A novel method of objectively detecting tooth ankylosis using cone-beam computed tomography: A laboratory study

  • Luciano Augusto Cano Martins;Danieli Moura Brasil;Deborah Queiroz Freitas;Matheus L Oliveira
    • Imaging Science in Dentistry
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    • v.53 no.1
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    • pp.61-67
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    • 2023
  • Purpose: The aim of this study was to objectively detect simulated tooth ankylosis using a novel method involving cone-beam computed tomography (CBCT). Materials and Methods: Tooth ankylosis was simulated in single-rooted human permanent teeth, and CBCT scans were acquired at different current levels (5, 6.3, and 8 mA) and voxel sizes (0.08, 0.125, and 0.2). In axial reconstructions, a line of interest was perpendicularly placed over the periodontal ligament space of 21 ankylosed and 21 non-ankylosed regions, and the CBCT grey values of all voxels along the line of interest were plotted against their corresponding X-coordinates through a line graph to generate a profile. The image contrast was increased by 30% and 60% and the profile assessment was repeated. The internal area of the resulting parabolas was obtained from all images and compared between ankylosed and non-ankylosed regions under different contrast enhancement conditions, voxel sizes, and mA levels using multi-way analysis of variance with the Tukey post hoc test(α=0.05). Results: The internal area of the parabolas of all non-ankylosed regions was significantly higher than that of the ankylosed regions(P<0.05). Contrast enhancement led to a significantly greater internal area of the parabolas of non-ankylosed regions (P<0.05). Overall, voxel size and mA did not significantly influence the internal area of the parabolas(P>0.05). Conclusion: The proposed novel method revealed a relevant degree of applicability in the detection of simulated tooth ankylosis; increased image contrast led to greater detectability.

Application of Neural Network and 3D Pattern Matching in Partial Discharge Signal

  • Lim Jang-seob;Park Young-sik;Kim Cheol-su
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1996.11a
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    • pp.361-364
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    • 1996
  • Aging diagnosis system using partial discharge(PD) is being highlighted as a research area. But the application of PD requires complicated analysis method because the PD has complex progressing forms. In this paper, It has been developed to the PD diagnosis system using neural network(NN). As a result after NN learning, the recognized rate was represented about 85%. The safety area is possible to express the second output of NN in this experiments.

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Safety diagnosis process for deteriorated buildings using a 3D scan-based reverse engineering model

  • Jae-Min Lee;Seungho Kim;Sangyong Kim
    • Smart Structures and Systems
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    • v.31 no.1
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    • pp.79-88
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    • 2023
  • As the number of deteriorated buildings increases, the importance of safety diagnosis, maintenance, and the repair of buildings also increases. Traditionally, building condition assessments are performed by one person or one company and various inspections are needed. This entails a subjective judgment by the inspector, resulting in different assessment results, poor objectivity and a lack of reliability. Therefore, this study proposed a method to bring about accurate grading results of building conditions. The limitations of visual inspection and condition assessment processes previously conducted were identified by reviewing existing studies. Building defect data was collected using the reverse-engineered three-dimensional (3D) model. The accuracy of the results was verified by comparing them with the actual evaluation results. The results show a 50% time-saving to the same area with an accuracy of approximately 90%. Consequently, defect data with high objectivity and reliability were acquired by measuring the length, area, and width. In addition, the proposed method can improve the efficiency of the building diagnosis process.

A Convergence Study on the Organizational Diagnosis of Public Health Center using Six-Box Model (Six-Box model을 이용한 보건소 조직진단에 관한 융합연구)

  • Lee, Young-Ju;Kim, Chang-Gyu;Lee, Bo-Woo
    • Journal of the Korea Convergence Society
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    • v.11 no.8
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    • pp.55-61
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    • 2020
  • This study was conducted to identify the organizational commitment to health centers in the city of G from September 1, 2018 to September 29, 2018, and empowerment, which is the output of the organization, and to examine organizational diagnosis using the Six-Box Model. In the organizational diagnosis of the health center using the Six-Box Model, the support area was 3.62 points, and the attitude toward change was 3.62 points, which was higher than other areas. In the organizational diagnosis according to gender, the scores of women were higher in males than in males. In the organizational diagnosis according to the type of jobs, the purpose, relationships, rewards, and area scores of nursing jobs were higher than those of other types of jobs. In the future, the public health center is a public institution that provides health administration and medical services to residents of the community, and it is necessary to improve the capacity of the organization through continuous health center organizational diagnosis.