• 제목/요약/키워드: fundamental tasks

검색결과 152건 처리시간 0.03초

초소형 부품 조작을 위한 Non-stick 마이크로 매니퓰레이션 시스템의 설계 (Design of Non-stick Micromanipulation for Handling of Micro particle)

  • 인용석;김유창;최혁렬;이상무;구자춘
    • 로봇학회논문지
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    • 제4권3호
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    • pp.225-232
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    • 2009
  • In the high precision robot systems, the most popular tasks may be handling of micro-scale objects on a surface such as a micromanipulation robot system. In handling of micro-scale objects, the stiction effect becomes a fundamental issue since the micro-contact mechanics dominates the micromanipulation robot system. In the paper, a theoretical non-stick condition derived from the micro-contact mechanics is carried out for the propose of micro-scale object manipulation. To verify the non-stick condition, a micro-manipulation robot system equipped with a high precision stage system and a microscope system is developed. Experimental results show that the proposed non-stick condition guarantees successful micro-scale object manipulation.

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A Survey on Face-based Cryptographic Key Generation

  • Dang, Thao;Choi, Deokjai
    • 스마트미디어저널
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    • 제9권2호
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    • pp.39-50
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    • 2020
  • Derivation cryptographic keys from human biometrics opens a new promising research area when it can be used efficiently for not only verification or recognition tasks, but also symmetric-key based applications. Among existing biometric traits, face is considered as the most popular biometrics since facial features are informative and discriminative. In this paper, we present a comprehensive survey of Face-based key generation (FKGS). First, we summarize the trend of FKGS researches and sum up the methods which play important roles in the proposed key generation systems. Then we present the evaluation and the general performance analysis; from that, we give a discussion about the advantages and disadvantages of surveyed studies to clarify the fundamental requirements and the main challenges when implementing FKGS in practice. Finally, an outlook on future prospects is given.

Use of Common Verb Phrases in Describing Everyday Activities by Advanced Korean-speaking Learners of English

  • Lee, Jin-Kyong
    • 영어어문교육
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    • 제13권2호
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    • pp.109-127
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    • 2007
  • As an attempt to investigate the use of common verbs by a small group of Korean college students at the advanced level, the present study describes the students' speech production data collected from picture description tasks. The primary focus of the data description was how the students used high-frequency verbs in describing everyday activities. Out of total 442 units, 149 verbs were erroneously used. All erroneous utterances were classified into four categories according to their characteristics. The most prominent error type was overgeneralization due to incomplete knowledge of lexical items. Results showed that verbs used in everyday life were not easy even for the advanced level students. Although in some cases, L1 influence was discerned, the students' problems are more fundamental. In particular, the data revealed lack of knowledge of collocational possibilities and restrictions, and confusion about semantic boundaries between verbs which have similar semantic areas. The findings suggest that teaching at the advanced level should take contrastive approaches intralingually as well as interlingually to the high-frequency verbs.

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WebCAM을 이용한 지역관리 시스템 (Local Area Management System Using WebCAM)

  • 하근희;김도년;조동섭
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 G
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    • pp.2212-2214
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    • 1998
  • As there comes out better and better solutions for delivering multimedia data on the internet, the number of WebCAM sites which transmits pictures of any spot to the user's system is getting increased. WebCAM service over the internet can be compared with the CATV in that it is beyond the spatial constraints. In this project, we construct a WebCAM site which performs not only the fundamental WebCAM functions of capturing images and of transmitting them periodically but also various kinds of modules carrying out tasks such as image processing, remote control of the camera, processing multiple user requests, making panorama views and so on using Java which is the most popular language for the internet or CGI. The past images are stored in a database implemented for the WebCAM system, so the system can be extended to get over the constraints in time also.

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자동차 조립작업자들의 직무순환 형태에 관한 연구 (A Study on the Job Rotation Types of Assembly Workers in a Motor Company)

  • 전인식;정병용
    • 대한인간공학회지
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    • 제29권6호
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    • pp.951-957
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    • 2010
  • The purpose of this study is to identify the types and features of job rotation being operated in a motor company. The types of job rotation have been classified according to the range of rotation and its cycle. Also, the features of the favorable rotation types were examined by the worker's age and their types of tasks. The results show that workers prefer broader ranges and slower cycles of rotations as they age. Moreover, older workers tend to show an increase in the preference of participating in job rotations. The result of this study is expected to be applied as fundamental data to job design.

정상 성분 변화량을 이용한 송전선로 보호용 방향 계전 알고리즘 (A Directional Relay Algorithm Using Positive-Sequence Superimposed Quantity for Transmission Line Protection)

  • 이명수;유석구
    • 대한전기학회논문지:전력기술부문A
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    • 제52권4호
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    • pp.226-233
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    • 2003
  • Directional elements are fundamental to protection scheme security and selectivity, performing such critical tasks as supervising distance elements and controlling overcurrent elements. But, conventional operating principles for directional detection based on negative or zero sequence quantify do not satisfy the requirements for improved sensitivity and fast operation under any fault conditions. In this paper, new algorithm for directional elements is proposed. The proposed algorithm use the positive-sequence superimposed voltages and currents in order to be used in all fault conditions. Also, because this algorithm uses a voltage compensation method. it can be well operated under strong source conditions.

건설회사의 사전 안전성 평가모델에 관한 연구 (A Study on the Previous Evaluation Model for Safety Performance of Construction Companies)

  • 손창백;홍성호
    • 한국안전학회지
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    • 제18권2호
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    • pp.73-78
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    • 2003
  • In order to improve the safety performance oi construction projects, effective and corporative safety management program between head office and job site must be implemented. And its performance must be measured and analyzed for the identification of the problems in the safety management area. This study proposes a previous evaluation model of safety performance for the large construction firm in order to enhance their safety level. The fundamental data for proposed model is based on the past research(Son 2002), which is structured of evaluation criteria. weighted factor. statistical evaluation formula. The model would help the firm management in identifying the weak areas of safety performance in terms of the degree performing certain safety tasks. It is expected that the model could contribute to achieving the "zero accident" level.ot; level.

메모리 소자의 소프트 에러 극복을 위한 최적 스크러빙 방안 (An Optimal Scrubbing Scheme for Protection of Memory Devices against Soft Errors)

  • 류상문
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2011년도 추계학술대회
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    • pp.677-680
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    • 2011
  • 우주 방사선은 메모리 시스템에 소프트 에러를 야기할 수 있다. 소프트 에러는 오류 검출 및 정정 코드를 이용하여 극복될 수 있으며, 소프트 에러의 누적을 방지하기 위하여 스크러빙 작업이 병행되어야 한다. 본 논문은 CPU의 쓰기 동작 없이 소프트 에러를 정정할 수 있는 자가 오류 검출 및 정정 회로가 적용된 메모리 시스템에 적용할 수 있는 최적 스크러빙 수행 방안을 제안한다. 제안된 스크러빙 방안은 시스템의 가용한 스크러빙 로드와 시스템에서 실행되는 태스크의 주기적 메모리 접근을 함께 고려하여 최대의 신뢰도를 성취할 수 있도록 하여준다.

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국회기록 인터넷 정보서비스 개선 방안 (Improvement Plan for Internet Reference Services of National Assembly Records)

  • 이원영
    • 정보관리학회지
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    • 제22권1호
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    • pp.5-20
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    • 2005
  • 이 글은 한국 국회기록의 인터넷 정보서비스의 개선 방안을 고찰함으로써 공공기록의 인터넷 정보서비스 정책 수립에 필요한 기본적인 요건을 제시해 보려는 것이다. 이를 위해 기록관리학에서의 정보서비스 이론과 외국의회의 사례를 분석하였다. 분석의 결과, 국회기록 인터넷 정보서비스의 개선방안으로서, 접근정책의 수립, 정보서비스 프로그램의 개선, 이용자와의 의사소통의 활성화라고 하는 세 가지 과제를 제시하였다.

Lightweight image classifier for CIFAR-10

  • Sharma, Akshay Kumar;Rana, Amrita;Kim, Kyung Ki
    • 센서학회지
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    • 제30권5호
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    • pp.286-289
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    • 2021
  • Image classification is one of the fundamental applications of computer vision. It enables a system to identify an object in an image. Recently, image classification applications have broadened their scope from computer applications to edge devices. The convolutional neural network (CNN) is the main class of deep learning neural networks that are widely used in computer tasks, and it delivers high accuracy. However, CNN algorithms use a large number of parameters and incur high computational costs, which hinder their implementation in edge hardware devices. To address this issue, this paper proposes a lightweight image classifier that provides good accuracy while using fewer parameters. The proposed image classifier diverts the input into three paths and utilizes different scales of receptive fields to extract more feature maps while using fewer parameters at the time of training. This results in the development of a model of small size. This model is tested on the CIFAR-10 dataset and achieves an accuracy of 90% using .26M parameters. This is better than the state-of-the-art models, and it can be implemented on edge devices.