• 제목/요약/키워드: Field-enhanced

검색결과 1,505건 처리시간 0.034초

스핀 코팅 공정에 따른 액정디스플레이용 폴리이미드 배향막 특성 분석 (Effect of Spin Coating Speed on Characteristics of Polyimide Alignment Layer for Liquid Crystal Display)

  • 김진아;최세훈;박홍규
    • 한국전기전자재료학회논문지
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    • 제35권1호
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    • pp.58-65
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    • 2022
  • The field of liquid crystal display (LCD) is constantly in the spotlight and the process of depositing an alignment layer in the LCD manufacturing process is very important to obtain excellent performance such as low-power driving and high-speed response to improve LCD performance. Therefore, research on liquid crystal (LC) alignment is being actively conducted. When manufacturing LCD, it is necessary to consider the effect of the alignment layer thickness as one of the factors affecting various LCD performances. In addition, previous studies confirmed the LC alignment characteristics correlate with the rotation speed in the spin coating process. Therefore, the electro-optical properties of the LCD were investigated by manufacturing a polyimide alignment layer by varying the rotation speed in the spin coating process in this study. It was confirmed that the thickness of the polyimide alignment layer was controlled according to the spin coating conditions. The average transmittances of anti-parallel LC cells at the spin coating speed of 2,500 rpm and 3,000 rpm are about 60%, which indicates that the LC cell has relatively higher performance. At the spin coating speed of 3,000 rpm, the voltage-transmittance curve of twisted nematic (TN) LC cell was below 1.5 V, which means that the TN LC cell operated at a low power. In addition, high-speed operating characteristics were confirmed with a response time of less than 30 ms. From these derived data, we confirmed that the ideal spin coating speed is 3,000 rpm. And these results provide an optimized polyimide alignment layer process when considering enhanced future LCD manufacturing.

Representative Batch Normalization for Scene Text Recognition

  • Sun, Yajie;Cao, Xiaoling;Sun, Yingying
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권7호
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    • pp.2390-2406
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    • 2022
  • Scene text recognition has important application value and attracted the interest of plenty of researchers. At present, many methods have achieved good results, but most of the existing approaches attempt to improve the performance of scene text recognition from the image level. They have a good effect on reading regular scene texts. However, there are still many obstacles to recognizing text on low-quality images such as curved, occlusion, and blur. This exacerbates the difficulty of feature extraction because the image quality is uneven. In addition, the results of model testing are highly dependent on training data, so there is still room for improvement in scene text recognition methods. In this work, we present a natural scene text recognizer to improve the recognition performance from the feature level, which contains feature representation and feature enhancement. In terms of feature representation, we propose an efficient feature extractor combined with Representative Batch Normalization and ResNet. It reduces the dependence of the model on training data and improves the feature representation ability of different instances. In terms of feature enhancement, we use a feature enhancement network to expand the receptive field of feature maps, so that feature maps contain rich feature information. Enhanced feature representation capability helps to improve the recognition performance of the model. We conducted experiments on 7 benchmarks, which shows that this method is highly competitive in recognizing both regular and irregular texts. The method achieved top1 recognition accuracy on four benchmarks of IC03, IC13, IC15, and SVTP.

Wavelet 기반의 영상 디테일 향상 잡음 제거 네트워크 (WDENet: Wavelet-based Detail Enhanced Image Denoising Network)

  • 정군;위승우;정제창
    • 방송공학회논문지
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    • 제26권6호
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    • pp.725-737
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    • 2021
  • 현재 카메라 성능이 점점 발전해 왔지만 카메라로부터 얻은 디지털 영상에는 잡음 (Noise)이 존재하고 이는 높은 해상도의 영상을 획득하는 데 있어서 방해요소로 작용한다. 전통적으로 잡음을 제거하기 위하여 필터링 방법을 사용해 왔고 최근 딥 러닝 기법의 하나인 합성곱 신경망 (Convolutional Neural Network)은 영상 잡음 제거 분야에서 전통적인 기법보다 좋은 성능을 나타내고 있어 많은 연구가 진행되고 있다. 하지만 합성곱 신경망으로 학습하는 과정에서 영상 내 디테일한 부분이 손실될 수 있는 문제점이 있다. 본 논문에서는 웨이블릿 변환 (Wavelet Transform)을 기반으로 영상 내 디테일 정보도 같이 학습하여 영상 디테일을 향상하는 잡음 제거 합성곱 신경망 네트워크를 제안한다. 제안하는 네트워크는 디테일 향상 서브 네트워크 (Detail Enhancement Subnetwork)와 영상 잡음 추출 서브 네트워크 (Noise Extraction Subnetwork)를 이용하게 된다. 실험은 가우시안 잡음과 실제 카메라 잡음을 통해 진행했고 제안하는 방법은 기존 알고리듬보다 디테일 손실 문제를 효과적으로 해결할 수 있었고 객관적 품질 평가와 주관적 품질 비교에서 모두 우수한 결과가 나온 것을 확인하였다.

조임쇠 경사길이에 따른 체결식 커플러의 이음성능 평가 (Splice Performance Evaluation of Fastening Coupler According to the Slope Length of Internal Fasteners)

  • 정현석;최창식
    • 한국구조물진단유지관리공학회 논문집
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    • 제26권4호
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    • pp.11-19
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    • 2022
  • 본 연구에서는 기계식 커플러의 이음성능을 향상시키기 위해 다른 접합방식을 가진 두 가지의 새로운 커플러를 개발하였다. 두 가지 방식의 기계식 이음장치에 대하여 응력 해석을 수행하였다. 커플러의 재료특성, 접합방식, 내부 조임쇠의 경사길이를 변수로 최대 인장강도의 영향성을 분석하기 위해 일축인장시험을 수행하였다. 일축인장시험결과를 만족하는 시험체를 대상으로 KS D 0249에 의거하여 정적내력시험 및 반복하중 시험을 수행하였다. 이에 대한 연구결과는 다음과 같다. (1) 커플러의 인장강도와 내부 조임쇠의 경사길이는 최대 인장강도에 영향을 끼친다. (2) 연결 방식에 따라 접합된 철근의 강성, 슬립량, 강성감소율에 영향이 있다. 연구결과는 새롭게 제안된 향상된 기계식 이음장치의 현장 적용에 대한 가능성을 검증하였다.

Design of a Smart Safety Vest Incorporated With Metal Detector Kits for Enhanced Personal Protection

  • Rajendran, Salini D.;Wahab, Siti N.;Yeap, Swee P.
    • Safety and Health at Work
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    • 제11권4호
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    • pp.537-542
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    • 2020
  • Background: Personal protective equipment (PPE) has been designed in such a way to reduce accident rates. Unfortunately, existing PPE is rather ineffective as it is not able to provide warning signals when hazard is around. The integration of intelligent systems is envisaged to increase the efficiency of existing PPE. Methods: This project designed a safety vest incorporated with metal detectors which can provide immediate warning to the field workers when there is metal hazard around. This product has greater freedom of design via smart manufacturing as it involves the assembly of few commercially available parts into a single entity. Briefly, the metal detector is a do it yourself (DIY) kit, and the safety vest is purchasable from any local market. The DIY kit was connected to a copper coil and being sewed into the safety vest. Results: The metal detector induces beeping sound when there is metal hazard around. A total of 121 engineering students were introduced to the prototype before being requested to answer a survey associated with the design. Respondents have rated >3.00/5.00 for the design simplicity, ease of usage, and light weight. Meanwhile, respondents suggested that the design should be further improved by increasing the metal detection range. Conclusion: It is envisaged that the introduction of this smart safety vest will allow the workers to carry out their duties securely by reducing the accident rates. Particularly, such design is expected to reduce workplace accident especially during night time at construction sites where the visibility is low.

농촌 초등학교에서 디지털격차 해소를 위한 테크놀로지 활용 수업 사례 연구 (A Case Study of Equitable Access to Quality Technology Uses in a Low-Resourced Rural Elementary School)

  • 한승연;한인숙
    • 한국콘텐츠학회논문지
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    • 제21권11호
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    • pp.224-233
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    • 2021
  • 본 연구의 목적은 농촌 지역의 자원과 테크놀로지가 부족한 초등학교 1인 학급 환경에서 교사의 테크놀로지 활용이 학습의 향상에 어떤 도움을 주는지에 관한 질적 연구를 통해 수업 설계를 위한 시사점을 도출하는 데 있다. 연구 참여자는 초등학교 5학년 학생 1인과 교사 1인이었으며 교사 및 학생 인터뷰와 교실 수업 관찰, 학생 일지 등의 자료를 수집하고 분석하였다. 연구 결과 자원과 테크놀로지가 부족할 뿐 아니라 1인 학급 상황의 한계에도 불구하고, 기존 도구의 창의적 활용과 다양한 온라인 테크놀로지를 활용함으로써, 개별 학습자의 요구와 수준에 맞는 적응적 학습의 제공, 다른 지역 학생과의 협력학습, 교육과정의 재설계 등 학습향상을 위한 다양한 교수전략을 통해 디지털격차를 극복하고 있음을 확인할 수 있었다. 본 연구의 결과는 자원과 예산 부족, 학생 수 경감에 따른 농촌 지역 학교의 위기에서 새로운 대안과 효과적 학습경험 제공의 가능성을 제시하고 있다.

고속 푸리에 합성곱을 이용한 파지 조건에 강인한 촉각센서 기반 물체 인식 방법 (Tactile Sensor-based Object Recognition Method Robust to Gripping Conditions Using Fast Fourier Convolution Algorithm)

  • 허현석;김정중;고두열;김창현;이승철
    • 로봇학회논문지
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    • 제17권3호
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    • pp.365-372
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    • 2022
  • The accurate object recognition is important for the precise and accurate manipulation. To enhance the recognition performance, we can use various types of sensors. In general, acquired data from sensors have a high sampling rate. So, in the past, the RNN-based model is commonly used to handle and analyze the time-series sensor data. However, the RNN-based model has limitations of excessive parameters. CNN-based model also can be used to analyze time-series input data. However, CNN-based model also has limitations of the small receptive field in early layers. For this reason, when we use a CNN-based model, model architecture should be deeper and heavier to extract useful global features. Thus, traditional methods like RN N -based and CN N -based model needs huge amount of learning parameters. Recently studied result shows that Fast Fourier Convolution (FFC) can overcome the limitations of traditional methods. This operator can extract global features from the first hidden layer, so it can be effectively used for feature extracting of sensor data that have a high sampling rate. In this paper, we propose the algorithm to recognize objects using tactile sensor data and the FFC model. The data was acquired from 11 types of objects to verify our posed model. We collected pressure, current, position data when the gripper grasps the objects by random force. As a result, the accuracy is enhanced from 84.66% to 91.43% when we use the proposed FFC-based model instead of the traditional model.

다상 BLDC 모터 드라이브 시스템의 개방 고장 시 효율 향상이 고려된 토크 리플 저감 대책 (Torque Ripple Reduction Method With Enhanced Efficiency of Multi-phase BLDC Motor Drive Systems Under Open Fault Conditions)

  • 김태윤;서용석;박현철
    • 전력전자학회논문지
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    • 제27권1호
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    • pp.33-39
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    • 2022
  • A multi-phase brushless direct current (BLDC) motor is widely used in large-capacity electric propulsion systems such as submarines and electric ships. In particular, in the field of military submarines, the polyphaser motor must suppress torque ripple in various failure situations to reduce noise and ensure stable operation for a long time. In this paper, we propose a polyphaser current control method that can improve efficiency and reduce torque ripple by minimizing the increase in stator winding loss at maximum output torque by controlling the phase angle and amplitude of the steady-state current during open circuit failure of the stator winding. The proposed control method controls the magnitude and phase angle of the healthy phase current, excluding the faulty phase, to compensate for the torque ripple that occurs in the case of a phase open failure of the motor. The magnitude and phase angle of the controlled steady-state current are calculated for each phase so that copper loss increase is minimized. The proposed control method was verified using hardware-in-the-loop simulation (HILS) of a 12-phase BLDC motor. HILS verification confirmed that the increase in the loss of the stator winding and the magnitude of the torque ripple decreased compared with the open phase fault of the motor.

나노압입시험법을 이용한 후열처리된 Ti/Al 클래딩재의 잔류 응력 평가 (Characterizing Residual Stress of Post-Heat Treated Ti/Al Cladding Materials Using Nanoindentation Test Method)

  • 유상규;김지원;오명훈;최인철
    • 열처리공학회지
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    • 제36권2호
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    • pp.61-68
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    • 2023
  • Ti and Ti alloys are used in the automobile and aerospace industries due to their high specific strength and excellent corrosion resistance. However their application is limited due to poor formability at room temperature and high unit cost. In order to overcome these issues, dissimilarly jointed materials, such as cladding materials, are widely investigated to utilize them in each industrial field because of an enhanced plasticity and relatively low cost. Among various dissimilar bonding processes, the rolled cladding process is widely used in Ti alloys, but has a disadvantage of low bonding strength. Although this problem can be solved through post-heat treatment, the mechanical properties at the bonded interface are deteriorated due to residual stress generated during post-heat treatment. Therefore, in this study, the microstructure change and residual stress trends at the interfaces of Ti/Al cladding materials were studied with increasing post-heat treatment temperature. As a result, compared to the as-rolled specimens, no difference in microstructure was observed in the specimens after postheat treatment at 300, 400, and 500℃. However, a new intermetallic compound layer was formed between Ti and Al when post-heat treatment was performed at a temperature of 600℃ or higher. Then, it was also confirmed that compressive residual stress with a large deviation was formed in Ti due to the difference in thermal expansion coefficient and modulus of elasticity between Ti Grade II and Al 1050.

만성질환 관리를 위한 PDA폰 기반 이동형 방문건강관리 시스템 개발 (A Study on a PDA-Based Ubiquitous Healthcare System for the Management of Chronic Diseases)

  • 손성용;황원숙;이양희;김창섭;임채승;박길홍
    • 가정∙방문간호학회지
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    • 제14권1호
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    • pp.18-22
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    • 2007
  • Purpose: The rapid change to an aging society generates an increase in the incidence of chronic diseases. Many chronic patients have been facing their illnesses without enough preparation. In order to solve these problems, we designed and tested a public healthcare service based on ubiquitous technology. Method: Telemedicine has emerged as new medical care system of chronic disease. However, public potential of its technology is difficult to know under current traditional health care system. In this work, we developed a Personal Digital Access (PDA) phone based healthcare system by trained visiting nurses for elderly patients. A field test was performed by SeongBuk Public Health Center in Seoul, Republic of Korea (ROK). Result: Surveys were generated to assess the effects of this system compared to conventional public health system. Findings of trials demonstrate that healthcare coordination enhanced by PDA phone technology is satisfactory to the patients and nurses compared to previous one because prompt responses arouse their recognition of health. Conclusion: Ubiquitous healthcare system applied to public health service proved to be efficient and time-saving to monitor and control the chronic illnesses of large population.

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