• Title/Summary/Keyword: Irregular Pattern

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A CAD/CAM System for Blanking or Piercing of Irregular Shaped-Sheet Metal Products (불규칙형상 박판제품의 블랭킹 및 피어싱용 CAD/CAM 시스템)

  • 최재찬;김철;박상봉
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.8
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    • pp.174-182
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    • 1998
  • This paper describes a research work of developing a computer-aided design and machining of irregular shaped-sheet metal product for blanking or piercing operation. An approach to the CAD/CAM system is based on the knowledge-based rules. Knowledge for the CAD/CAM system is formulated from plasticity theories, experimental results and the empirical knowledge of field experts. The system has been written in AutoLISP on the AutoCAD and in customer tool kit on the SmartCAM with a personal computer and is composed of nine modules, which are input and shape treatment, flat pattern-layout, production feasibility check, blank-layout, strip-layout, die-layout, data conversion, modelling, and post-processor module. Based on knowledge-based rules, the system is designed by considering several factors, such as material and thickness of product, complexities of blank geometry and punch profile, diameter and material of a wire, and availability of press. This system is capable of generating NC data automatically according to drawings of die-layout module. Results which are carried out in each module will provide efficiencies to the designer and the manufacturer of blanking or piercing die in this field.

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Effect of Gooking on Water Insoluble Dietary Fiber in Vegetables (조리방법에 따른 채소의 불용성 식이섬유 함량 변화에 관한 연구)

  • 계수경
    • The Korean Journal of Food And Nutrition
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    • v.8 no.2
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    • pp.116-127
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    • 1995
  • Recently, interests of dietary fiber associated with critical physiological effects have been rising in Korea physiological effect in the body. In the present study, the contents of fiber components in 15 kinds of vegetables being consumed commonly in Korea were investigated, and the effects of various treatments (cooking and Kimchi fermentation) on fiber were studied. The results are summarized as follows. Fiber contents of vegetables were 11.8∼31.9% of neutral detergent fiber(NDF), total insoluble dietary fiber, 10.9∼25.4% of acid detergent fiber(ADF), 8.8∼23.8% of cellulose, 0.6∼10.6% of hemicellulose and 1.0∼5.2% of lignin, on dry weight basis. Especially, peppers had higher contents of NDF than the other vegetables. In the vegetables used in the present study, it was found that a great portion of NDF, total insoluble dietary fiber, was composed of cellulose because cellulose covered 63% of NDF. 'Cooking increased the NDF, ADF and cellulose contents, and most change was due to the change of cellulose. The values of hemicellulose and lignin showed an Irregular pattern upon cooking. Fermentation slightly increased NDF, ADF and cellulose, while hemicellulose and lignin showed irregular pattern.

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Bio-inspired Evasive Movement of UAVs based on Dragonfly Algorithm in Military Environment

  • Gudi, Siva Leela Krishna Chand;Kim, Bo-sun;Silvirianti, Silvirianti;Shin, Soo Young;Chae, Seog
    • Journal of information and communication convergence engineering
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    • v.17 no.1
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    • pp.84-90
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    • 2019
  • Applications of unmanned aerial vehicles (UAVs) in the military environment have become popular because they require minimum human contribution and can avoid accidents during missions. UAVs are employed in various missions such as reconnaissance, observation, aggression, and protection. Consequently, counter-measures, known as anti-drone technologies, have been developed as well. In order to protect against threats from anti-drone technologies and enhance the survivability of UAVs, this study proposes an evasive measure. The proposed bio-inspired evasive maneuver of a UAV mimics a dragonfly's irregular flight. The unpredictable UAV movement is able to confuse enemies and avoid threats, thereby enhancing the UAV's survivability. The proposed system has been implemented on a commercial UAV platform (AR Drone 2.0) and tested in a real environment. The experiment results demonstrate that the proposed flight pattern has larger displacement values compared to a regular flight maneuver, thus making the UAV's position is difficult to predict.

Analysis of Corneal Topography for Korean College Students Based on Computer-Assisted Videokeratography (각막지형도 검사를 이용한 대학생의 각막형태에 대한 연구)

  • Lee, Seok-Ju;Ryu, Guen-Chang;Shin, Cheol-Guen;Seong, Jeong-Sub;Kim, In-Suk
    • Journal of Korean Ophthalmic Optics Society
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    • v.11 no.3
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    • pp.241-247
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    • 2006
  • Purpose : To define the distribution of normal corneal topographic patterns of Korean college students and compare them with previously published western data, Bogan et al's study. Methods : Computerized corneal topography was performed 220eyes normal subjects using CTK-922(Topography, swiss made). Mean age of the subjects was 23.2 yr.(range 19 to 57 yr.). The color-coded videokeratographs were classified by a masked observer according to the Bogan et al's classification such as round, oval, symmetric bow tie, asymmetric bow tie, and irregular. Results: The results revealed 57 eyes(25.9%) had round, 14 (6.4%) oval , 41(18.6%)symmetric bow tie, 78(35.5%) asymmetric bow tie, and 30(13.6%) irregular pattern. Conclusions : Our results of topographic patterns show the tendency of more irregular and less round topographic pattern in Korean college students, as compared to that of western adults.

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Development of The Irregular Radial Pulse Detection Algorithm Based on Statistical Learning Model (통계적 학습 모형에 기반한 불규칙 맥파 검출 알고리즘 개발)

  • Bae, Jang-Han;Jang, Jun-Su;Ku, Boncho
    • Journal of Biomedical Engineering Research
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    • v.41 no.5
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    • pp.185-194
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    • 2020
  • Arrhythmia is basically diagnosed with the electrocardiogram (ECG) signal, however, ECG is difficult to measure and it requires expert help in analyzing the signal. On the other hand, the radial pulse can be measured with easy and uncomplicated way in daily life, and could be suitable bio-signal for the recent untact paradigm and extensible signal for diagnosis of Korean medicine based on pulse pattern. In this study, we developed an irregular radial pulse detection algorithm based on a learning model and considered its applicability as arrhythmia screening. A total of 1432 pulse waves including irregular pulse data were used in the experiment. Three data sets were prepared with minimal preprocessing to avoid the heuristic feature extraction. As classification algorithms, elastic net logistic regression, random forest, and extreme gradient boosting were applied to each data set and the irregular pulse detection performances were estimated using area under the receiver operating characteristic curve based on a 10-fold cross-validation. The extreme gradient boosting method showed the superior performance than others and found that the classification accuracy reached 99.7%. The results confirmed that the proposed algorithm could be used for arrhythmia screening. To make a fusion technology integrating western and Korean medicine, arrhythmia subtype classification from the perspective of Korean medicine will be needed for future research.

Prediction of the Development of Pulmonary Fibrosis Using Serial Thin-Section CT and Clinical Features in Patients Discharged after Treatment for COVID-19 Pneumonia

  • Minhua Yu;Ying Liu;Dan Xu;Rongguo Zhang;Lan Lan;Haibo Xu
    • Korean Journal of Radiology
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    • v.21 no.6
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    • pp.746-755
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    • 2020
  • Objective: To identify predictors of pulmonary fibrosis development by combining follow-up thin-section CT findings and clinical features in patients discharged after treatment for COVID-19. Materials and Methods: This retrospective study involved 32 confirmed COVID-19 patients who were divided into two groups according to the evidence of fibrosis on their latest follow-up CT imaging. Clinical data and CT imaging features of all the patients in different stages were collected and analyzed for comparison. Results: The latest follow-up CT imaging showed fibrosis in 14 patients (male, 12; female, 2) and no fibrosis in 18 patients (male, 10; female, 8). Compared with the non-fibrosis group, the fibrosis group was older (median age: 54.0 years vs. 37.0 years, p = 0.008), and the median levels of C-reactive protein (53.4 mg/L vs. 10.0 mg/L, p = 0.002) and interleukin-6 (79.7 pg/L vs. 11.2 pg/L, p = 0.04) were also higher. The fibrosis group had a longer-term of hospitalization (19.5 days vs. 10.0 days, p = 0.001), pulsed steroid therapy (11.0 days vs. 5.0 days, p < 0.001), and antiviral therapy (12.0 days vs. 6.5 days, p = 0.012). More patients on the worst-state CT scan had an irregular interface (59.4% vs. 34.4%, p = 0.045) and a parenchymal band (71.9% vs. 28.1%, p < 0.001). On initial CT imaging, the irregular interface (57.1%) and parenchymal band (50.0%) were more common in the fibrosis group. On the worst-state CT imaging, interstitial thickening (78.6%), air bronchogram (57.1%), irregular interface (85.7%), coarse reticular pattern (28.6%), parenchymal band (92.9%), and pleural effusion (42.9%) were more common in the fibrosis group. Conclusion: Fibrosis was more likely to develop in patients with severe clinical conditions, especially in patients with high inflammatory indicators. Interstitial thickening, irregular interface, coarse reticular pattern, and parenchymal band manifested in the process of the disease may be predictors of pulmonary fibrosis. Irregular interface and parenchymal band could predict the formation of pulmonary fibrosis early.

A Study on the Pattern Design and the Construction in Modern Hanbok Fabrics (현대 한복소재 무늬의 조형성과 조직특성)

  • Kim, Sun-Kyung;Cho, Hyo-Sook;Baek, Hee-Ju
    • The Research Journal of the Costume Culture
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    • v.16 no.6
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    • pp.1111-1125
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    • 2008
  • The purpose of this study was to research the characteristics of the pattern design and the weave construction of 67 fashion fabrics in women's Hanbok. All the fabrics were made by 100% silk. Arrangement, size, and the type of patterns were investigated for research of the pattern characteristics. Pattern weave and background weave were analyzed, then the weight and the thickness were measured for studying the fabric construction. The results were as follows. First, irregular arrangement was more commonly used than regular arrangement, and then the complex arrangement and the combination arrangement were appeared considerably because of the existence of the various patterns in a fabric. Third, the types of pattern weave construction were much more than those of background weave construction. This is caused by the expression of dimensional effect for patterns. This survey can be practically used for development of pattern design for Hanbok industry and furthermore it will contribute to revitalizing of Hanbok market to overcome design limit in the future.

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Adaptive Weight Collaborative Complementary Learning for Robust Visual Tracking

  • Wang, Benxuan;Kong, Jun;Jiang, Min;Shen, Jianyu;Liu, Tianshan;Gu, Xiaofeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.1
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    • pp.305-326
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    • 2019
  • Discriminative correlation filter (DCF) based tracking algorithms have recently shown impressive performance on benchmark datasets. However, amount of recent researches are vulnerable to heavy occlusions, irregular deformations and so on. In this paper, we intend to solve these problems and handle the contradiction between accuracy and real-time in the framework of tracking-by-detection. Firstly, we propose an innovative strategy to combine the template and color-based models instead of a simple linear superposition and rely on the strengths of both to promote the accuracy. Secondly, to enhance the discriminative power of the learned template model, the spatial regularization is introduced in the learning stage to penalize the objective boundary information corresponding to features in the background. Thirdly, we utilize a discriminative multi-scale estimate method to solve the problem of scale variations. Finally, we research strategies to limit the computational complexity of our tracker. Abundant experiments demonstrate that our tracker performs superiorly against several advanced algorithms on both the OTB2013 and OTB2015 datasets while maintaining the high frame rates.

A study for finding human non-habitual behavior in daily life

  • Shimada, Yasuyuki;Matsumoto, Tsutomu;Kawaji, Shigeyasu
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.491-496
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    • 2003
  • This paper proposes modeling of human behavior and a method of finding irregular human behavior. At first, human behavior model is proposed by paying attention to habitual human behavior at home. Generally, it is difficult to obtain the information of individual life pattern because of high cost for setting sensors such as cameras to observe human action. Therefore we capture turning on/off consumer electronic equipments as actual human behavior action, where some or many consumer electric equipments were used such as television, room light, video and so on in our daily life. Noting that are some relations between turning on/off those consumer electric equipments and our action, we proposes how to construct a human behavior knowledge by analyzing human behavior based on observation of human habitual life. Also an algorithm to identify on find irregular behavior different from habitual life behavior are described. Finally, the significance of the proposed method is shown by some experimental results.

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An Effective Method for the Nesting on Several Irregular Raw Sheets (임의 형상의 여러 원자재 위에서의 효과적인 배치방안)

  • 조경호;이건우
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.19 no.8
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    • pp.1854-1868
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    • 1995
  • An effective nesting algorithm has been proposed to allocate the arbitrary shapes on one or several raw sheets by applying the well-known simulated annealing algorithm as the optimization technique. In this approach, both the shapes to be allocated and the raw sheets are represented as the grid-based models. This algorithm can accommodate every possible situations encountered in cutting apparel parts from the raw leather sheets. In other words, the usage of the internal hole of a shape for other small shapes, handling of the irregular boundaries and the interior defects of the raw sheets, and the simultaneous allocation on more than one raw sheets have been tackled on successfully in this study. Several computational experiments are presented to verify the robustness of the proposed algorithm.