• Title/Summary/Keyword: functional images

Search Result 504, Processing Time 0.037 seconds

The Idea Effect of Pictorial Typography Class Using Artpropel (아트프로펠을 활용한 픽토 타이포그래피 수업의 발상 효과)

  • Hwang, Jin-Gu;Huh, Yoon-Jung
    • Journal of the Korea Convergence Society
    • /
    • v.10 no.11
    • /
    • pp.263-273
    • /
    • 2019
  • Pictorial typography is a fusion of image and type, which makes it possible to easily and quickly recognize information by complementing the boredom of characters and ambiguity of images. In this study, 6 classes were assigned to the 30 students in A specialization design class and applied artistic propel method to the pictorial typography design class, followed by the process of perception, reflection and creation, We analyze the two evaluation factors, functional and aesthetic changes, and verify the validity of the artpropel course. In the pre-post survey conducted in this study, the self - evaluation and the peer evaluation were improved. Functionality increased by 5.34 points in self evaluation, 5.4 points in peer evaluation, and 2.1 points in self evaluation and 1.8 points in peer evaluation. As a result, it can be seen that the pictorial typography class through the artpropel process helped to improve the functionality and aesthetic, and the effect of functionality was more significant than the aesthetic.

A Method for the Classification of Water Pollutants using Machine Learning Model with Swimming Activities Videos of Caenorhabditis elegans (예쁜꼬마선충의 수영 행동 영상과 기계학습 모델을 이용한 수질 오염 물질 구분 방법)

  • Kang, Seung-Ho;Jeong, In-Seon;Lim, Hyeong-Seok
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.25 no.7
    • /
    • pp.903-909
    • /
    • 2021
  • Caenorhabditis elegans whose DNA sequence was completely identified is a representative species used in various research fields such as gene functional analysis and animal behavioral research. In the mean time, many researches on the bio-monitoring system to determine whether water is contaminated or not by using the swimming activities of nematodes. In this paper, we show the possibility of using the swimming activities of C. elegans in the development of a machine learning based bio-monitoring system which identifies chemicals that cause water pollution. To characterize swimming activities of nematode, BLS entropy is computed for the nematode in a frame. And, BLS entropy profile, an assembly of entropies, are classified into several patterns using clustering algorithms. Finally these patterns are used to construct data sets. We recorded images of swimming behavior of nematodes in the arenas in which formaldehyde, benzene and toluene were added at a concentration of 0.1 ppm, respectively, and evaluate the performance of the developed HMM.

Computational analysis of the electromechanical performance of mitral valve cerclage annuloplasty using a patient-specific ventricular model

  • Lee, Kyung Eun;Kim, Ki Tae;Lee, Jong Ho;Jung, Sujin;Kim, June-Hong;Shim, Eun Bo
    • The Korean Journal of Physiology and Pharmacology
    • /
    • v.23 no.1
    • /
    • pp.63-70
    • /
    • 2019
  • We aimed to propose a novel computational approach to predict the electromechanical performance of pre- and post-mitral valve cerclage annuloplasty (MVCA). Furthermore, we tested a virtual estimation method to optimize the left ventricular basement tightening scheme using a pre-MVCA computer model. The present model combines the three-dimensional (3D) electromechanics of the ventricles with the vascular hemodynamics implemented in a lumped parameter model. 3D models of pre- and post-MVCA were reconstructed from the computed tomography (CT) images of two patients and simulated by solving the electromechanical-governing equations with the finite element method. Computed results indicate that reduction of the dilated heart chambers volume (reverse remodeling) appears to be dependent on ventricular stress distribution. Reduced ventricular stresses in the basement after MVCA treatment were observed in the patients who showed reverse remodeling of heart during follow up over 6 months. In the case who failed to show reverse remodeling after MVCA, more virtual tightening of the ventricular basement diameter than the actual model can induce stress unloading, aiding in heart recovery. The simulation result that virtual tightening of the ventricular basement resulted in a marked increase of myocardial stress unloading provides in silico evidence for a functional impact of MVCA treatment on cardiac mechanics and post-operative heart recovery. This technique contributes to establishing a pre-operative virtual rehearsal procedure before MVCA treatment by using patient-specific cardiac electromechanical modeling of pre-MVCA.

A CPU-GPU Hybrid System of Environment Perception and 3D Terrain Reconstruction for Unmanned Ground Vehicle

  • Song, Wei;Zou, Shuanghui;Tian, Yifei;Sun, Su;Fong, Simon;Cho, Kyungeun;Qiu, Lvyang
    • Journal of Information Processing Systems
    • /
    • v.14 no.6
    • /
    • pp.1445-1456
    • /
    • 2018
  • Environment perception and three-dimensional (3D) reconstruction tasks are used to provide unmanned ground vehicle (UGV) with driving awareness interfaces. The speed of obstacle segmentation and surrounding terrain reconstruction crucially influences decision making in UGVs. To increase the processing speed of environment information analysis, we develop a CPU-GPU hybrid system of automatic environment perception and 3D terrain reconstruction based on the integration of multiple sensors. The system consists of three functional modules, namely, multi-sensor data collection and pre-processing, environment perception, and 3D reconstruction. To integrate individual datasets collected from different sensors, the pre-processing function registers the sensed LiDAR (light detection and ranging) point clouds, video sequences, and motion information into a global terrain model after filtering redundant and noise data according to the redundancy removal principle. In the environment perception module, the registered discrete points are clustered into ground surface and individual objects by using a ground segmentation method and a connected component labeling algorithm. The estimated ground surface and non-ground objects indicate the terrain to be traversed and obstacles in the environment, thus creating driving awareness. The 3D reconstruction module calibrates the projection matrix between the mounted LiDAR and cameras to map the local point clouds onto the captured video images. Texture meshes and color particle models are used to reconstruct the ground surface and objects of the 3D terrain model, respectively. To accelerate the proposed system, we apply the GPU parallel computation method to implement the applied computer graphics and image processing algorithms in parallel.

Controlled active exercise after open reduction and internal fixation of hand fractures

  • Jun, Dongkeun;Bae, Jaehyun;Shin, Donghyeok;Choi, Hyungon;Kim, Jeenam;Lee, Myungchul
    • Archives of Plastic Surgery
    • /
    • v.48 no.1
    • /
    • pp.98-106
    • /
    • 2021
  • Background Hand fractures can be treated using various operative or nonoperative methods. When an operative technique utilizing fixation is performed, early postoperative mobilization has been advocated. We implemented a protocol involving controlled active exercise in the early postoperative period and analyzed the outcomes. Methods Patients who were diagnosed with proximal phalangeal or metacarpal fractures of the second to fifth digits were included (n=37). Minimally invasive open reduction and internal fixation procedures were performed. At 3 weeks postoperatively, controlled active exercise was initiated, with stress applied against the direction of axial loading. The exercise involved pain-free active traction in three positions (supination, neutral, and pronation) between 3 and 5 weeks postoperatively. Postoperative radiographs and range of motion (ROM) in the interphalangeal and metacarpophalangeal joints were analyzed. Results Significant improvements in ROM were found between 6 and 12 weeks for both proximal phalangeal and metacarpal fractures (P<0.05). At 12 weeks, 26 patients achieved a total ROM of more than 230° in the affected finger. Postoperative radiographic images demonstrated union of the affected proximal phalangeal and metacarpal bones at a 20-week postoperative follow-up. Conclusions Minimally invasive open reduction and internal fixation minimized periosteal and peritendinous dissection in hand fractures. Controlled active exercise utilizing pain-free active traction in three different positions resulted in early functional exercise with an acceptable ROM.

Evaluating Usefulness of Deep Learning Based Left Ventricle Segmentation in Cardiac Gated Blood Pool Scan (게이트심장혈액풀검사에서 딥러닝 기반 좌심실 영역 분할방법의 유용성 평가)

  • Oh, Joo-Young;Jeong, Eui-Hwan;Lee, Joo-Young;Park, Hoon-Hee
    • Journal of radiological science and technology
    • /
    • v.45 no.2
    • /
    • pp.151-158
    • /
    • 2022
  • The Cardiac Gated Blood Pool (GBP) scintigram, a nuclear medicine imaging, calculates the left ventricular Ejection Fraction (EF) by segmenting the left ventricle from the heart. However, in order to accurately segment the substructure of the heart, specialized knowledge of cardiac anatomy is required, and depending on the expert's processing, there may be a problem in which the left ventricular EF is calculated differently. In this study, using the DeepLabV3 architecture, GBP images were trained on 93 training data with a ResNet-50 backbone. Afterwards, the trained model was applied to 23 separate test sets of GBP to evaluate the reproducibility of the region of interest and left ventricular EF. Pixel accuracy, dice coefficient, and IoU for the region of interest were 99.32±0.20, 94.65±1.45, 89.89±2.62(%) at the diastolic phase, and 99.26±0.34, 90.16±4.19, and 82.33±6.69(%) at the systolic phase, respectively. Left ventricular EF was calculated to be an average of 60.37±7.32% in the ROI set by humans and 58.68±7.22% in the ROI set by the deep learning segmentation model. (p<0.05) The automated segmentation method using deep learning presented in this study similarly predicts the average human-set ROI and left ventricular EF when a random GBP image is an input. If the automatic segmentation method is developed and applied to the functional examination method that needs to set ROI in the field of cardiac scintigram in nuclear medicine in the future, it is expected to greatly contribute to improving the efficiency and accuracy of processing and analysis by nuclear medicine specialists.

Analysis of the Meaning of Mask in Fashion (패션에서의 마스크에 관한 의미 분석)

  • Jung, Junghee
    • Journal of the Korea Fashion and Costume Design Association
    • /
    • v.24 no.2
    • /
    • pp.147-165
    • /
    • 2022
  • The purpose of this study is to examine various types and characteristics of masks and to consider what meanings they have in the recent fashion world. To this end, this study attempts to reflect on the internal meaning of masks exhibited in fashion designers' collections rather than functional meanings. It has an implication; in that it tries to help understand the expressive needs for variety and freshness pursued by modern fashion and use the unique design development to understand the internal meanings of masks. It, therefore, examines the existing domestic and foreign literature and data about masks from a theoretical perspective, and also attempts to draw findings from the data of fashion collections which have been held since the 2000s, as well as from literature research based on books about fashion and various other media. The meanings of masks in the field of fashion are as follows: First, they express identity, by criticizing the couture fashion, through the fashion. Second, they present a new concept of body, showing an illogical and ambiguous identity in which both feminine and masculine images coexist. Third, they are media externally communicating insights about human beings' inner world, through which various messages are transferred to modern people who are attached to external appearances, and the identities possessed by designers are revealed by the masks. Fourth, they ask about a boundary between gender and sexuality, as a means to make us concentrate on the important social issue, while expressing various and new identities, like the hybrid identity. In other words, they can be found to be used as effective media in communicating fashion massages intended by fashion experimental and creative designers.

How to Use EVT Figures for Actor Voice Training II (배우 음성 훈련을 위한 EVT 구조연습 활용방안 II)

  • Lee, Young-Su
    • The Journal of the Korea Contents Association
    • /
    • v.22 no.2
    • /
    • pp.647-664
    • /
    • 2022
  • This study explores the possibility that the figure of the Estill Voice Training model, which is based on speech science, can contribute to the expansion of vocal expertise in the acting art where an actor creates a character. The purpose of this study is to examine the usage plan. The training model through the fluidity and structural functionality of the voice production organ is differentiated from the existing voice training that focuses only on the results of sound due to its ambiguous abstraction. Developing the voluntary coordination ability of the occipital region and vocal tract, such as False Vocal Folds, Cricoid Cartilage, Velum, AES, and Anchoring, has scientific efficiency that makes it easier to produce artistic target sounds, and it is a technical skill that can creatively overcome the functional limitations faced by actors. It can be used as a methodology. The Estill model Figure, which is a principle training for harmony and coordination between the elements of voice production, has a practical value that can be used as an alternative training model for the voice education of actors in Korea, where images and abstractions are the mainstream.

Improving the Functions of Digital Textbooks to Prepare for the post COVID-19 (포스트 코로나를 대비한 디지털교과서의 기능 개선)

  • Kim, Hong-sun;Jeong, Young-sik
    • 한국정보교육학회:학술대회논문집
    • /
    • 2021.08a
    • /
    • pp.283-288
    • /
    • 2021
  • In the COVID-19 situation, digital textbooks have been used in many schools. In order for digital textbooks to become active even in the post COVID-19 era, the functions of digital textbooks must be improved. Digital textbooks are traditional book-type textbooks with glossaries, video materials, and evaluation questions added. Recently, they are being used usefully for practical education by providing realistic contents such as Augmented Reality, Virtual Reality, and 360 images. Therefore, in this study, in order to prepare for the post COVID-19, we found the functional problems of digital textbooks and suggested a way to improve them. First, the layout of digital textbooks should be developed as a responsive layout, deviating from the same form as a book-type textbook. Second, digital textbooks and learning management systems must be integrated. Third, by developing a digital textbook for teachers, teachers should be able to directly reorganize the contents or add external materials. Fourth, learning analysis should be possible using data recorded in digital textbooks. Fifth, in the 2022 revised curriculum, various subjects should be developed as digital textbooks.

  • PDF

A Qualitative Study on the Body-Esteem and Appearance Management Behavior of Generation MZ Female Consumers of Body-Exposing Sportswear (신체 노출 스포츠웨어 소비자의 신체존중감 및 외모관리행동에 대한 질적 연구: MZ세대 여성을 중심으로)

  • SooHyun Oh;KyuJin Chung;Ae-Ran Koh
    • Human Ecology Research
    • /
    • v.61 no.4
    • /
    • pp.647-661
    • /
    • 2023
  • This study explored the relationship between Generation MZ female consumers' participation in sports activity, consumption of body-exposing sportswear, body-esteem, and appearance management behavior. In-depth interviews were conducted with twenty Generation MZ female consumers who regularly participate in sports activity and consume body-exposing sportswear. Based on transcriptions of in-depth interviews conducted with research subjects, the researcher and two assistant researchers collectively categorized and compared common characteristics found in their responses, categorized according to themes using units of words/terms and paragraphs. The main finding were as follows. Firstly, Generation MZ female consumers participated in various sports activities for an average of approximately one hour, three times per week. The effects of such participation were improvements in physical and psychological health. Secondly, Generation MZ female consumers considered aesthetical, functional, and economical factors when they consumed body-exposing sportswear, regardless of the activity in which they participated. This sportswear served to increase the efficiency of exercise and also played a motivational role. Thirdly, the overall body-esteem of Generation MZ female consumers who participated in sports activity regularly and consumed body-exposing sportswear was high. Fourthly, Generation MZ female consumers who regularly participated in sports activity and consumed body-exposing sportswear were practicing active appearance management behavior in order to show how their body had been shaped by sports activity. In addition, they were pursuing four self-images: "polished image pursue", "self-care image pursue", "natural image pursue", and "trustworthy image pursue".