• 제목/요약/키워드: Feature Collection

검색결과 197건 처리시간 0.026초

The impacts on school life of a occupational therapy student use of smartphone

  • Lee, Sun-Myung
    • 한국임상보건과학회지
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    • 제7권2호
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    • pp.1289-1297
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    • 2019
  • Purpose: The purpose of this study was to investigate occupational therapy at M college in Changwon and the impact of smart phone use on the school life of college students and to help them find ways to further develop in the future. Methods; Data collection was conducted using questionnaires, and the questionnaires consisted of 152 total questions with 15 interpersonal questions, 23 problem solving skills, 43 self-efficacy, 16 class participation scale, and 55 self-directed learning scale. It was conducted to first and second graders of M college and conducted a survey through the corresponding academic year from March 26, 2019 to March 29, 2019 to retrieve 120 questionnaires and use them for analysis. The collected data were analyzed using SPSS. Statistic 20.0. Results: Studies show that "school life satisfaction" is usually the highest at 53 percent. The "smartphone user motivation" was the highest with 50.8 percent, while the "most frequently used feature on smartphones" was the highest with 57.5 percent on SNS. Satisfaction after using a smartphone was the highest with 49.2 percent, while 41.7 percent said it would be easier to acquire and utilize information in the areas of satisfaction. Conclusion: Smartphone addiction, interpersonal relationships, problem-solving skills, self-efficacy, participation in classes, and self-control learning items are not only affected by one part, but also by the other.

초파리 일신종에 대하여 (On a New Species, " Drosophila macromaculata" sp. nov.)

  • 강영선;이혜영
    • 한국동물학회지
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    • 제4권1호
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    • pp.29-31
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    • 1961
  • At the altitude of approximately 250 of Mt. Sori located in Kyung-gi Co, Korea authers have made a field collection of Drosophila during June, 1 and 15, 1961, and found about 30 specimens which seemed to be a new species belonging to Genus Drosophila, Subgenus Hirtodrosophila. AUthors have named the species : D. macromaculata sp. nov. " Its Korean name is given , : Uluck-muni-chopari". This species is very similar to Drosophila cheda in its external feature and especially it that each of four stripes in the mesonotum is cut into tow, and it also resembles with Drosophila calloptera in that it has three distinct spots in the wing. Its first segment of abdomen is yellow-brown in color while both end points are black. The second segment is black and in its middle part there yellow-brownish strips of V form, the peripheral part of which are found two spots of yellow brownish color. On third to fifth segments of male and on third to sixth segments of female there are fod-form spots, one on each segment, and on both sides of these rods two smaller spots are found in each segment. This species is clearly a fungus feeder and its breeding in authers laboratory is at present, not attained. Holotype : male , Kwang-nung, Kyung -gi Do, South Korea, 1 Male June, 1, 1961. Allotype : female, collected together with holotype. Paratype : Kwang-nung, Male 16 and female 12. Distribution : South Korea. Collecting method : Net sweeping on the decayed trees.yed trees.

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개입모형을 이용한 EEG 신호의 다변량 분석에 관한 연구 (Multivariate Analysis of EEG Signal using Intervention Models)

  • 임성식;김진호;김치용;황민철
    • 대한인간공학회지
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    • 제18권1호
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    • pp.13-24
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    • 1999
  • The objective of the study is to discriminate EEG(electroencephalogram) due to emotional changes. Emotion was evoked by the series of auditory stimuli which were selected from the natural sounds in the sound effect collection of compact disc. Seventeen university students participated and experienced positive or negative emotions by six auditory stimuli with intermission between stimuli. Temporal EEG ($T_3$, $T_4$, $T_5$, and $T_6$) was recorded at the same time and a subjective test was performed on the eleven point scales after the experiment. The maximum and minimum scores of the EEG among six stimuli EEG were analyzed for discrimination of emotion. The EEG signals were transformed into feature objects based on scalar intervention model coefficients. Auditory stimulus was considered as intervention variable. They were classified by Discriminant Analysis for each channel. The features showed results with the best classification accuracy of 91.2 % in $T_4$ for auditory stimuli. This study could be extended to establish an algorithm which quantifies and classifies emotions evoked by auditory stimulus using time-series models.

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수치사진측량기법에 의한 Fender의 3차원 수치모형 생성 (3D-Digital Model Generation of an Automobile-Fender Using Digital Photogrammetry)

  • 정성혁;황창섭;이재기
    • 한국측량학회지
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    • 제19권2호
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    • pp.147-154
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    • 2001
  • 최근 수치사진측량은 다양한 수치영상처리기법의 연구와 각종 수치영상 취득.처리 장비의 보급에 힘입어 그 실용화에 관한 연구가 활발히 이루어지고 있으며, 건설.산업분야, 의학분야, 고고학분야 등에서 대상물의 위치, 특성 및 크기 결정에 폭넓게 이용되고 있다. 본 연구에서는 수치사진측량 기법을 이용하여 자동차 몸체와 같이 유선형으로 이루어진 대상물의 정밀측정 가능성을 알아보기 위하여 대상물의 3차원 수치모형 생성을 하는 방법으로 연구를 수행하였다. 계산된 좌표값들의 표준편차는 ${\sigma}_x$=0.434mm, ${\sigma}_y$=0.619mm, ${\sigma}_z$=0.387mm 이었으며, 이는 자동차 설계분야에서 요구하는 정확도 내에 충분히 수렴하는 것으로, 수치사진측량 기법이 산업분야에 있어서 충분히 활용될 수 있음을 입증하였다.

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비정상도메인 분류를 위한 DNS 쿼리 기반의 주성분 분석을 이용한 성분추출 (Feature Selection with PCA based on DNS Query for Malicious Domain Classification)

  • 임선희;조재익;김종현;이병길
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제1권1호
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    • pp.55-60
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    • 2012
  • 최근 봇넷(Botnet)은 탐지 기술을 피하기 위하여 C&C(Command and Control)서버 접속시 DNS(Domain Name System) 서비스를 이용하고 있다. DNS 서비스를 이용한 비정상 행위에 대응하기 위해서 DNS 트래픽 기반의 분석 연구가 필요하다. 본 논문에서는 좀비PC의 C&C서버 도메인주소 질의와 같은 DNS트래픽 기반의 비정상 도메인 분류(Classification)를 위해서 DNS트래픽 수집 및 지도학습(Supervised Learning)에 대해 연구한다. 특히, 본 논문에서는 PCA(Principal Component Analysis) 주성분분석 기술을 통해 DNS 기반의 분류시스템에서의 효과적인 분석 성분들을 구성할 수 있다.

홈 네트워크에서 PCF와 규율을 가진 QoS 보증 분석 (Analysis of QoS Assurance with PCF and Queuing Disciplines in Home Network)

  • ;변재영
    • 한국정보통신학회논문지
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    • 제12권10호
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    • pp.1801-1807
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    • 2008
  • 일상생활을 편하고 재미있고 안전하게 만들기 위해 홈 네트워크가 수집과 전기적인 많은 장치를 연결한다. 이더넷과 거주 게이트웨이의 단 하나의 함께 나눠 진 광대역 커넥션에 대한 무선 기술의 수렴은 집 네트워크의 주요 특징이다. 이런 종류의 다종다양한 네트워크는 다른 QoS 장치를 실행할 필요성을 인식했다. 이 논문에서는 기본적으로 IP QoS을 통합하고 홈 네트워크에서 QoS단언을 위한 QoS 장치의 타전을 한다. 이 논문에는 PCF와의 결합 지 연 시간과 사용자 요청의 알고리즘을 결합 비교하고 사용자 조합과 PCF의 결합 실행이 가장 좋다는 것을 결론을 짓는다.

'기록관리학', 그 교육의 향방 - 신설 9개 대학원 교과과정을 보면서 - ('Archival Management', The Right Direction of Education Program : Analyze the curriculum of Archival Management Course in 9 Universities)

  • 최정태
    • 기록학연구
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    • 제2호
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    • pp.169-193
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    • 2000
  • This study aims to present a theoretical for domestic archival management studies and analyze curriculum through the established archival management course of nine universities. For this, the concrete study consists of the following : (1) to regulate concept of archival management studies, (2) to make suggestions which can be helpful to establish practical curriculum through especially analysis of curriculum in order to establish educational system suitable to domestic conditions. Data collection and analysis method in order to execute this study was mainly depended upon the documentary research and the major study method was to desirable curriculum of organizations in order to grasp distinctive feature of curriculum that is provided in this country at present. At this time, the curriculum of the object of analysis was limited to the curriculum of nine graduate schools, the organized subjects were divided into two sides of 'educational content side' and 'educational method side'. Based on such analysis, by grasping the whole inclination and problem points of subjects organized by domestic educational organizations, the suggestions was presented, considering at the present stage for developing education of archival management studies. Especially, the suggestions was presented here from two sides of 'the systematic side related to establishment of curriculum' and 'the content side of organizing subject'. It is expected that the suggestions presented after close analysis of the domestic present status would offer important information under the present conditions when the establishment of curriculum in the beginning stages.

Hot Data Verification Method Considering Continuity and Frequency of Write Requests Using Counting Filter

  • Lee, Seung-Woo;Ryu, Kwan-Woo
    • 한국컴퓨터정보학회논문지
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    • 제24권6호
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    • pp.1-9
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    • 2019
  • Hard disks, which have long been used as secondary storage in computing systems, are increasingly being replaced by solid state drives (SSDs), due to their relatively fast data input / output speeds and small, light weight. SSDs that use NAND flash memory as a storage medium are significantly different from hard disks in terms of physical operation and internal operation. In particular, there is a feature that data overwrite can not be performed, which causes erase operation before writing. In order to solve this problem, a hot data for frequently updating a data for a specific page is distinguished from a cold data for a relatively non-hot data. Hot data identification helps to improve overall performance by identifying and managing hot data separately. Among the various hot data identification methods known so far, there is a technique of recording consecutive write requests by using a Bloom filter and judging the values by hot data. However, the Bloom filter technique has a problem that a new bit array must be generated every time a set of items is changed. In addition, since it is judged based on a continuous write request, it is possible to make a wrong judgment. In this paper, we propose a method using a counting filter for accurate hot data verification. The proposed method examines consecutive write requests. It also records the number of times consecutive write requests occur. The proposed method enables more accurate hot data verification.

Support Vector Machine을 이용한 실시간 도로기상 검지 방법 (A Realtime Road Weather Recognition Method Using Support Vector Machine)

  • 서민호;육동빈;박새롬;전진호;박정훈
    • 한국산업융합학회 논문집
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    • 제23권6_2호
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    • pp.1025-1032
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    • 2020
  • In this paper, we propose a method to classify road weather conditions into rain, fog, and sun using a SVM (Support Vector Machine) classifier after extracting weather features from images acquired in real time using an optical sensor installed on a roadside post. A multi-dimensional weather feature vector consisting of factors such as image sharpeness, image entropy, Michelson contrast, MSCN (Mean Subtraction and Contrast Normalization), dark channel prior, image colorfulness, and local binary pattern as global features of weather-related images was extracted from road images, and then a road weather classifier was created by performing machine learning on 700 sun images, 2,000 rain images, and 1,000 fog images. Finally, the classification performance was tested for 140 sun images, 510 rain images, and 240 fog images. Overall classification performance is assessed to be applicable in real road services and can be enhanced further with optimization along with year-round data collection and training.

Technological Factors Facilitating B40's Motivation in Malaysia to Continue Using Online Crowdsourcing Platform

  • NA'IN, Nuramalina;HUSIN, Mohd Heikal;BAHARUDIN, Ahmad Suhaimi
    • The Journal of Asian Finance, Economics and Business
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    • 제8권8호
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    • pp.117-126
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    • 2021
  • The increasing number of retrenchments because of the current global pandemic, Covid-19, has led many to shift to the digital economy, especially among the low-income group (B40) in Malaysia. Crowdsourcing is the collection of information, opinions, or work from a group of people, usually sourced via the Internet. Fueled by the development of Internet-based platforms that provided its technological foundation, and the need for an agile and uniquely skilled workforce, crowdsourcing has grown from the grassroots, with a burgeoning body of research investigating its many aspects. However, very few studies examined crowd workers' motivation for continuous participation on online crowdsourcing platforms. Thus, this paper aims to explore the technological factors that facilitate B40's group motivation in Malaysia to continue to participate in online crowdsourcing platforms. This paper employed a qualitative approach, using a semi-structured interview. The thematic analysis method was used to decode the data extracted from the interview transcript. The finding of this study identified four main themes and seven sub-themes: (1) Technology efficacy, (2) Platform Management: client-worker management, safety net, payment mechanism, (3) Platform Design: UI design, rating feature and (4) Infrastructure: Internet connection, technology infrastructure. This study can provide a guideline for managing crowdsourcing practices in Malaysia, especially for the crowdsourcing platform developer.