• 제목/요약/키워드: design work

검색결과 8,367건 처리시간 0.036초

Application of Immersive Virtual Environment Through Virtual Avatar Based On Rigid-body Tracking (강체 추적 기반의 가상 아바타를 통한 몰입형 가상환경 응용)

  • MyeongSeok Park;Jinmo Kim
    • Journal of the Korea Computer Graphics Society
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    • 제29권3호
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    • pp.69-77
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    • 2023
  • This study proposes a rigid-body tracking based virtual avatar application method to increase the social presence and provide various experiences of virtual reality(VR) users in an immersive virtual environment. The proposed method estimates the motion of a virtual avatar through inverse kinematics based on real-time rigid-body tracking based on motion capture using markers. Through this, it aims to design a highly immersive virtual environment with simple object manipulation in the real world. Science experiment educational contents are produced to experiment and analyze applications related to immersive virtual environments through virtual avatars. In addition, audiovisual education, full-body tracking, and the proposed rigid-body tracking method were compared and analyzed through survey. In the proposed virtual environment, participants wore VR HMDs and conducted a survey to confirm immersion and educational effects from virtual avatars performing experimental educational actions from estimated motions. As a result, through the method of utilizing virtual avatars based on rigid-body tracking, it was possible to induce higher immersion and educational effects than traditional audiovisual education. In addition, it was confirmed that a sufficiently positive experience can be provided without much work for full-body tracking.

Design and Implementation of IEC62541-based Industry-Internet of Things Simulator for Meta-Factory (메타팩토리를 위한 IEC62541기반 IIoT·시뮬레이터 설계 및 구현)

  • Chae-Young Lim;Chae-Eun Yeo;Woo-jin Cho;Jae-Hoi Gu;Sang-Hyun Lee
    • The Journal of the Convergence on Culture Technology
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    • 제9권3호
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    • pp.789-795
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    • 2023
  • Digital-Twin are recognized as an important core technology for the realization of Smart Factories by simulating and optimizing the monitoring and predictive maintenance of manufacturing equipment and the operation of production lines in a digital space. To implement this system, we adopt the IEC62541-based OPC-UA (Open Platform Communications Unified-Architecture) Protocol, which has strengths in interoperability and connectivity between heterogeneous platforms. Therefore, In this paper, We designed and implemented an IIoT(Industry Internet of Things) system that connects heterogeneous platforms, and developed an OPC-UA simulator based on IEC 62541. We will present whether the data will be applied to the Digital-Twin Platform and whether it will work, and proceed with performance tests and evaluations. We evaluate the operation performance and OPC-UA performance of the Digital-Twin platform lightened by the proposed device, and present the optimal IEC62514-based simulator system. We proceeded with the performance evaluation of sending and receiving data with OPC-UA wrapping with the proposed simulator, and found that a lightweight Digital-Twin platform can be operated. This research can apply the OPC-UA protocol for implementing smart factory and meta-factory in the manufacturing shop floor with limited resources, avoiding the waste of time and space on the shop floor through the OPC-UA simulator. We expect that this will contribute to a significant improvement in efficiency by minimizing.

Predictive Equation of Dynamic Modulus for Hot Mix Asphalt with Granite Aggregates (화강암 골재를 이용한 아스팔트 혼합물의 동탄성 계수 예측방정식)

  • Lee, Kwan-Ho;Kim, Hyun-O;Jang, Min-Seok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • 제26권3D호
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    • pp.425-433
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    • 2006
  • The presented work provided a predictive equation for dynamic modulus of hot mix asphalt, which showed higher reliability and more simplicity. Lots of test result by UTM at laboratory has been used to develop the precise predictive equation. Evaluation of dynamic modulus for 13mm and 19mm surface course and 25mm of base course of hot mix asphalt with granite aggregate and two asphalt binders (AP-3 and AP-5) were carried out. Superpave Level 1 Mix Design with gyrator compactor was adopted to determine the optimum asphalt binder content (OAC) and the measured ranges of OAC were between 5.1% and 5.4% for surface HMA, and around 4.2% for base HMA. The dynamic modulus and phase angle were determined by testing on UTM, with 5 different testing temperature (-10, 5, 20, 40, & $55^{\circ}C$) and 5 different loading frequencies (0.05, 0.1, 1, 10, 25 Hz). Using the measured dynamic modulus and phase angle, the input parameters of Sigmoidal function equation to represent the master curve were determined and these will be adopted in FEM analysis for asphalt pavements. The effect of each parameter for equation has been compared. Due to the limitation of laboratory tests, the reliability of predictive equation for dynamic modulus is around 80%.

A Study of the Acculturation Meaning among Chinese-Chosun Residential Care Attendants in Long-Term Care Setting (조선족 간병인의 문화적응 경험에 관한 연구: 노인 간병서비스를 제공하는 조선족 여성을 중심으로)

  • Hong, Sae-Young;Kim, Gum-Ja
    • 한국노년학
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    • 제30권4호
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    • pp.1263-1280
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    • 2010
  • The present study describes the acculturation meaning of 12 Chinese-Chosun residential care attendants(RCAs) who are currently working in long-term care settings for Korean older adults. Using a qualitative research method, the findings show that the acculturation process of Chinese-Chosun RCAs consists of three stages: entrance, conflict, and adaptation. In the initial stage, the assets of the social and cultural networks among their friends and relatives, who already settled down or employed as RCAs, provided more opportunities for being employed as a RCA. However, most Chinese-Chosun RCAs experienced a number of conflicts while they adapted to mainstream society and perform caregiving tasks. They perceived discrimination, heavy workload, prejudice, and homesick. Nevertheless, they appeared to adapt effectively to Korean society and working environments because they were aware of the various benefits of working as a RCA such as higher wage and more job openings compared to other jobs, a rapport with the patients and patients' families, flexible work hours, and pride as a caregiver. This type of qualitative groundwork will be an important precursor to the design, implementation, and evaluation of acculturation research for minority immigrant workers in the Korean social welfare system.

Effect of Senior Simulation on Geriatric Unit Nurses' Attitude and Job Satisfaction toward the Elderly (노인유사체험이 노인병동 간호사의 노인에 대한 태도와 업무만족에 미치는 영향)

  • Choi, Soowon;Park, Myonghwa
    • 한국노년학
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    • 제29권2호
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    • pp.513-527
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    • 2009
  • The purpose of this study was to verify the effect of senior simulation on geriatric unit nurses' attitude and job satisfaction toward the elderly with one group pretest-posttest design. The subjects of this study were the 30 nurses who are working in geriatric units in a general hospital in Daegu, Korea and who were well informed about the purpose of this study and allowed to join the study. The data were collected from August 23 to September 6, 2006. The experimental procedure was to do activities for daily living for 45 minutes wearing senior simulation suit. Self administered questionnaires were used to ask the nurses' attitude toward the elderly and job satisfaction in their work before, right after, and one week after senior simulation. According to the results of this study, there were significant changes in the geriatric nurses' attitude toward the elderly and job satisfaction after aging simulation implying that senior simulation is an effective intervention to facilitate nurses to do quality care for the elderly with sympathetic understanding and attitude. Senior simulation needs to be applied to geriatric education for the nursing students and health care providers who are involved in care for the elderly.

Optimized Hardware Design using Sobel and Median Filters for Lane Detection

  • Lee, Chang-Yong;Kim, Young-Hyung;Lee, Yong-Hwan
    • Journal of Advanced Information Technology and Convergence
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    • 제9권1호
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    • pp.115-125
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    • 2019
  • In this paper, the image is received from the camera and the lane is sensed. There are various ways to detect lanes. Generally, the method of detecting edges uses a lot of the Sobel edge detection and the Canny edge detection. The minimum use of multiplication and division is used when designing for the hardware configuration. The images are tested using a black box image mounted on the vehicle. Because the top of the image of the used the black box is mostly background, the calculation process is excluded. Also, to speed up, YCbCr is calculated from the image and only the data for the desired color, white and yellow lane, is obtained to detect the lane. The median filter is used to remove noise from images. Intermediate filters excel at noise rejection, but they generally take a long time to compare all values. In this paper, by using addition, the time can be shortened by obtaining and using the result value of the median filter. In case of the Sobel edge detection, the speed is faster and noise sensitive compared to the Canny edge detection. These shortcomings are constructed using complementary algorithms. It also organizes and processes data into parallel processing pipelines. To reduce the size of memory, the system does not use memory to store all data at each step, but stores it using four line buffers. Three line buffers perform mask operations, and one line buffer stores new data at the same time as the operation. Through this work, memory can use six times faster the processing speed and about 33% greater quantity than other methods presented in this paper. The target operating frequency is designed so that the system operates at 50MHz. It is possible to use 2157fps for the images of 640by360 size based on the target operating frequency, 540fps for the HD images and 240fps for the Full HD images, which can be used for most images with 30fps as well as 60fps for the images with 60fps. The maximum operating frequency can be used for larger amounts of the frame processing.

Do good return policies work across cultures? Effect of lenient return policies on online shopper perceptions in Eastern culture

  • Yang, SuJin;Choi, Yun Jung
    • Asia Marketing Journal
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    • 제15권2호
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    • pp.75-97
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    • 2013
  • While good return policies are suggested as one of the critical services for e-commerce, ambivalence between the burden of the cost and shoppers' satisfaction may prevent e-tailers from increasing their level of leniency. Based on the S-O-R model, this study has attempted to develop a grounded theory to explain how lenient return policies shape online shoppers' perceptions and responses, with a focus on cultural influences in the relationship. In order to check the cultural effects of the lenient return policy, thirty two female and eleven male undergraduate students in South Korean shoppers, who are accustomed to strict return policies, participated in the semi-structured interview. A series of open-ended questions were designed to explore consumers' reactions toward four different levels of the lenient return policy: from the strict type in South Korea to the lenient type in the U.S. Using qualitative research methods, this research has defined three types of dimensions of lenient return policy: return possible period, complexity of progress, and other restrictions. While previous researchers did not pay much attention, the last dimension, other restrictions, is shown to be the most significant in influencing online shoppers' perceptions, especially in South Korea. Also, the impacts on online shoppers' perceptions from the three types of sub-dimensions of return policy were somewhat different. Whereas a longer return possible period was considered more favorable, a medium level of complexity and restrictions were considered more desirable. In summary, this result showed that shoppers in Eastern cultures, i.e. South Korean online shoppers, seem favorable to a medium level of lenient return policies, while allowing for taking precautions against possible fraudulent behaviors and setting other restrictions. Therefore, most of retailers in South Korea recommended that e-tailers who adopt the most lenient return policies raise the bar to guard ethical shoppers from fraudulent users. Next, lenient return policies can enhance ease of use, usefulness, affect, and trust while relieving perceived risk, which is connected to intention to purchase, satisfaction, and loyalty. Interestingly, lenient return policies are more likely to change the behavioral responses of online shoppers, such as return and purchase, rather than change their attitudes or beliefs such as image, satisfaction, and loyalty. This tendency can be seen more clearly in the direct influences of return policy on responses. The reaction to lenient return policy is mostly the intention to return or to purchase. This suggests that return policy serves the e-tailers as a powerful tool in increasing online shoppers' purchase intention at the moment of purchase. Therefore, e-tailers who plan to expand their market to eastern countries, including South Korea, have to build a shield of restrictions around their lenient return policy, rather than immediately applying their original liberalized return policy. Also, e-tailers in South Korea need to review their strict and undifferentiated return policies to deal with the unsatisfied reactions of online shoppers toward their normal return policies. Although the present study was confined to the return policies currently being practiced by popular e-tailers, it would be worthwhile to develop effective return policies separately for each country, especially South Korea, keeping the culture of the relevant country in mind.

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Phase Segmentation of PVA Fiber-Reinforced Cementitious Composites Using U-net Deep Learning Approach (U-net 딥러닝 기법을 활용한 PVA 섬유 보강 시멘트 복합체의 섬유 분리)

  • Jeewoo Suh;Tong-Seok Han
    • Journal of the Computational Structural Engineering Institute of Korea
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    • 제36권5호
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    • pp.323-330
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    • 2023
  • The development of an analysis model that reflects the microstructure characteristics of polyvinyl alcohol (PVA) fiber-reinforced cementitious composites, which have a highly complex microstructure, enables synergy between efficient material design and real experiments. PVA fiber orientations are an important factor that influences the mechanical behavior of PVA fiber-reinforced cementitious composites. Owing to the difficulty in distinguishing the gray level value obtained from micro-CT images of PVA fibers from adjacent phases, fiber segmentation is time-consuming work. In this study, a micro-CT test with a voxel size of 0.65 ㎛3 was performed to investigate the three-dimensional distribution of fibers. To segment the fibers and generate training data, histogram, morphology, and gradient-based phase-segmentation methods were used. A U-net model was proposed to segment fibers from micro-CT images of PVA fiber-reinforced cementitious composites. Data augmentation was applied to increase the accuracy of the training, using a total of 1024 images as training data. The performance of the model was evaluated using accuracy, precision, recall, and F1 score. The trained model achieved a high fiber segmentation performance and efficiency, and the approach can be applied to other specimens as well.

Integrated Scenario Authoring Method using Mission Impact Analysis Tool due to Cyber Attacks (사이버공격에 의한 임무영향 분석 도구를 이용한 통합시나리오 저작 방법)

  • Yonghyun Kim;Donghwa Kim;Donghwan Lee;Juyoub Kim;Myung Kil Ahn
    • Journal of Internet Computing and Services
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    • 제24권6호
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    • pp.107-117
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    • 2023
  • It must be possible to assess how combat actions taking place in cyberspace affect the military's major mission systems and weapon systems. In order to analyze the mission impact caused by a cyber attack through cyber M&S, the target mission system and cyber warfare elements must be built as a model and a scenario for simulation must be authored. Many studies related to mission impact analysis due to cyber warfare have been conducted focusing on the United States, and existing studies have authored separate scenarios for physical battlefields and cyber battlefields. It is necessary to build a simulation environment that combines a physical battlefield model and a cyber battlefield model, and be able to integrate and author mission scenarios and cyber attack/defense scenarios. In addition, the physical battlefield and cyber battlefield are different work areas, so authoring two types of scenarios for simulation is very complicated and time-consuming. In this paper, we propose a method of using mission system information to prepare the data needed for scenario authoring in advance and using the pre-worked data to author an integrated scenario. The proposed method is being developed by reflecting it in the design of the scenario authoring tool, and an integrated scenario authoring in the field of counter-fire warfare is being performed to prove the proposed method. In the future, by using a scenario authoring tool that reflects the proposed method, it will be possible to easily author an integrated scenario for mission impact analysis in a short period of time.

Explainable Artificial Intelligence (XAI) Surrogate Models for Chemical Process Design and Analysis (화학 공정 설계 및 분석을 위한 설명 가능한 인공지능 대안 모델)

  • Yuna Ko;Jonggeol Na
    • Korean Chemical Engineering Research
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    • 제61권4호
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    • pp.542-549
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    • 2023
  • Since the growing interest in surrogate modeling, there has been continuous research aimed at simulating nonlinear chemical processes using data-driven machine learning. However, the opaque nature of machine learning models, which limits their interpretability, poses a challenge for their practical application in industry. Therefore, this study aims to analyze chemical processes using Explainable Artificial Intelligence (XAI), a concept that improves interpretability while ensuring model accuracy. While conventional sensitivity analysis of chemical processes has been limited to calculating and ranking the sensitivity indices of variables, we propose a methodology that utilizes XAI to not only perform global and local sensitivity analysis, but also examine the interactions among variables to gain physical insights from the data. For the ammonia synthesis process, which is the target process of the case study, we set the temperature of the preheater leading to the first reactor and the split ratio of the cold shot to the three reactors as process variables. By integrating Matlab and Aspen Plus, we obtained data on ammonia production and the maximum temperatures of the three reactors while systematically varying the process variables. We then trained tree-based models and performed sensitivity analysis using the SHAP technique, one of the XAI methods, on the most accurate model. The global sensitivity analysis showed that the preheater temperature had the greatest effect, and the local sensitivity analysis provided insights for defining the ranges of process variables to improve productivity and prevent overheating. By constructing alternative models for chemical processes and using XAI for sensitivity analysis, this work contributes to providing both quantitative and qualitative feedback for process optimization.