• Title/Summary/Keyword: Activity recognition

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Practical Tasks to Secure Accessibility to Leisure Activity for Students with Developmental Disability : Focusing on school-community connection in the perspective of lifelong planning (발달장애학생 여가활동 접근성 확보를 위한 실천과제 : 평생계획 관점에서 학교-지역사회 연계)

  • Choi, Sun kyoung
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.4
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    • pp.107-114
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    • 2018
  • It is needed to connect the curriculum of leisure use with community resources in order to allow students with developmental disability in a transition period to recover composure themselves through the curriculum of leisure use, improve their skills to enjoy, and apply their independent ability to utilize the actual leisure resources in a community through community programs. To realize this, it is necessary to secure recognition of leisure use from teachers instructing leisure use as a curriculum and examine points to be improved and importance mentioned about community-based leisure activity participation. The latest research on lifelong planning extends leisure activity from existing elements and implies the necessity of preparation in holistic aspects. As the crucial resources of leisure activity for students with developmental disability, this author focuses on the importance of leisure activities in schools and in communities and provides supportive measures to elevate accessibility to leisure activity.

Roles of Transcription Factor Binding Sites in the D-raf Promoter Region

  • Kwon, Eun-Jeong;Kim, Hyeong-In;Kim, In-Ju
    • Animal cells and systems
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    • v.2 no.1
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    • pp.117-122
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    • 1998
  • D-raf, a Drosophila homolog of the human c-raf-1, is known as a signal transducer in cell proliferation and differentiation. A previous study found that the D-raf gene expression is regulated by the DNA replication-related element (DRE)/DRE-binding factor (DREF) system. In this study, we found the sequences homologous to transcription factor C/EBP, MyoD, STAT and Myc recognition sites in the D-raf promoter. We have generated various base substitutional mutations in these recognition sites and subsequently examined their effects on D-raf promoter activity through transient CAT assays in Kc cells with reporter plasmids p5'-878DrafCAT carrying the mutations in these binding sites. Through gel mobility shift assay using nuclear extracts of Kc cells, we detected factors binding to these recognition sites. Our results show that transcription factor C/EBP, STAT and Myc binding sites in D-raf promoter region play a positive role in transcriptional regulation of the D-raf gene and the Myo D binding site plays a negative role.

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AnoVid: A Deep Neural Network-based Tool for Video Annotation (AnoVid: 비디오 주석을 위한 심층 신경망 기반의 도구)

  • Hwang, Jisu;Kim, Incheol
    • Journal of Korea Multimedia Society
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    • v.23 no.8
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    • pp.986-1005
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    • 2020
  • In this paper, we propose AnoVid, an automated video annotation tool based on deep neural networks, that automatically generates various meta data for each scene or shot in a long drama video containing rich elements. To this end, a novel meta data schema for drama video is designed. Based on this schema, the AnoVid video annotation tool has a total of six deep neural network models for object detection, place recognition, time zone recognition, person recognition, activity detection, and description generation. Using these models, the AnoVid can generate rich video annotation data. In addition, AnoVid provides not only the ability to automatically generate a JSON-type video annotation data file, but also provides various visualization facilities to check the video content analysis results. Through experiments using a real drama video, "Misaeing", we show the practical effectiveness and performance of the proposed video annotation tool, AnoVid.

The Visual Image of Clothing Shape (4가지 무채색 의복의 형태변화에 따른 시각적 이미지)

  • 박종희;최재란;류숙희
    • Journal of the Korean Society of Clothing and Textiles
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    • v.24 no.8
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    • pp.1177-1186
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    • 2000
  • The Study was consist of clothing shape(H-line, A-line, V-line, X-line, O-line) and color(Blace, Grey1, Grey2, White). The main purpose of this study is to analyze image differences due to shape variation, image differences due to observers characteristic differences. The main findings can be summarized as follow. First, image differences due to shape variation are statistically significant ar five factors - the maturity level, the degree of softness, attractiveness, the degree of recognition, and the activity. But the degree of recognition is found out to be the least significant factor. H-line is estimated the mature image, A·X-line is estimated young, feminine and active image. Second, image differences by observers characteristics are various depending on the shape of clothing.

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A Study on Promoting Early Reading Ability through an Explicit High-frequency Sight Word Instruction

  • Huh, Keun
    • English Language & Literature Teaching
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    • v.17 no.1
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    • pp.17-35
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    • 2011
  • The purpose of this study was to explore the effect of an explicit word instruction for EFL beginning readers and their perception on the learning experience. Data were attained from 16 fourth graders who took English class as a development activity. Data include the results of pre- and post-test of high frequency sight word recognition, oral reading ability, students' survey responses, and teacher observation. The descriptive statistics were obtained for the result of the pre- and post-test. The findings from the student survey and teacher observation were also provided and interpreted to better understand the result of project and students' perception on the learning experience. The followings are the results of this study. The word recognition ability of the students was dramatically improved after the project. The students were satisfied with the overall learning experience perceiving it as helpful and fun learning. They expressed that the explicit word instruction helped their word recognition and reading ability. The results also supported that the confidence of students on their reading ability were heightened. Several suggestions are made for teachers and researchers on the word instruction for young EFL learners who are beginning readers.

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Adaptive Post Processing of Nonlinear Amplified Sound Signal

  • Lee, Jae-Kyu;Choi, Jong-Suk;Seok, Cheong-Gyu;Kim, Mun-Sang
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.872-876
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    • 2005
  • We propose a real-time post processing of nonlinear amplified signal to improve voice recognition in remote talk. In the previous research, we have found the nonlinear amplification has unique advantage for both the voice activity detection and the sound localization in remote talk. However, the original signal becomes distorted due to its nonlinear amplification and, as a result, the rest of sequence such as speech recognition show less satisfactorily results. To remedy this problem, we implement a linearization algorithm to recover the voice signal's linear characteristics after the localization has been done.

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Aging Diagnosis of Model Coil of HV Induction Motor Using HFPD and Neural Networks (HFPD 및 신경회로망을 이용한 고압 유도전동기 모델코일 열화진단)

  • Kim, Deok-Geun;Im, Jang-Seop;Yeo, In-Seon
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.51 no.8
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    • pp.361-367
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    • 2002
  • Many failures in high voltage equipment are preceded by partial discharge activity. In this paper deals with the application of the high frequency partial discharge measurement technique in motorette. HFPD measurement is very effective method to detect the PD occurred in motorette which is the called name of test specimen for accelerating test of stator winding[1] In this study, CT type HFPD sensor is used to detect the partial discharges and a measured HFPD pattern is analyzed by fractal mathematics. The neural network algorithm is used to pattern recognition and ageing diagnosis. As a result of this study, the fractal dimensions are increased along to applied voltage and HFPD pattern recognition using neural network shown excellent recognition rate. Also, the ageing diagnosis of motorette has been Possible.

Human Action Recognition Using Deep Data: A Fine-Grained Study

  • Rao, D. Surendra;Potturu, Sudharsana Rao;Bhagyaraju, V
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.97-108
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    • 2022
  • The video-assisted human action recognition [1] field is one of the most active ones in computer vision research. Since the depth data [2] obtained by Kinect cameras has more benefits than traditional RGB data, research on human action detection has recently increased because of the Kinect camera. We conducted a systematic study of strategies for recognizing human activity based on deep data in this article. All methods are grouped into deep map tactics and skeleton tactics. A comparison of some of the more traditional strategies is also covered. We then examined the specifics of different depth behavior databases and provided a straightforward distinction between them. We address the advantages and disadvantages of depth and skeleton-based techniques in this discussion.

A Study of Object Recognition for the Efficient Management of Construction Equipment

  • Hyeok-Jun Ryu;Suk-Won Lee;Ju-Hyung Kim;Jae-Jun Kim
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.587-591
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    • 2013
  • Measuring the process of construction operations for productivity improvement remains a difficult task for most construction companies due to the manual effort required in most activity measurement methods. There are many ways to measuring the process. But past measurement methods was inefficient. Because they needed a lot of manpower and time. So, this article focus on the vision-based object recognition and tracking methods for automated construction. These methods have the advantage of efficient that human intervention was reduced. Therefore, this article is analyzed the performance of vision-based methods in the construction sites and is expected to contribute to selection of vision-based methods.

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Analysis of Active Center in Hyperthermophilic Cellulase from Pyrococcus horikoshii

  • Kang, Hee-Jin;Ishikawa, Kazuhiko
    • Journal of Microbiology and Biotechnology
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    • v.17 no.8
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    • pp.1249-1253
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    • 2007
  • A hyperthermostable endoglucanase from Pyrococcus horikoshii with the capability of hydrolyzing crystalline cellulose was analyzed. A protein engineering study was carried out to obtain a reduced-size mutant. Five amino acid residues at both the N- and C-terminus were found to be removable without any loss of activity or thermal stability. Site-directed mutagenesis was also performed on R102, N200, E201, H297, Y299, E342, and W377, residues possibly involved in the active center or in the recognition and binding of a cellulose substrate. The activity of the resulting mutants was considerably decreased, confirming that the mutated residues were all important for activity. A reduced-size enzyme, as active as the wild-type endoglucanase, was successfully obtained, plus the residues critical for its activity and specificity were confirmed. Consequently, an engineered enzyme with a reduced size was obtained, and the amino acids essential for activity were confirmed by site-directed mutagenesis and comparison with a known three-dimensional structure.