• Title, Summary, Keyword: recognition survey

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A Study on the Actual Conditions of Quality Standards Recognition of Rebar Workers (철근작업자의 품질기준 인지 실태 조사)

  • Lee, Byung-Yun;Choi, Oh-Young;Han, Byung-Min;Kim, Gwang-Hee
    • Proceedings of the Korean Institute of Building Construction Conference
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    • pp.243-246
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    • 2009
  • Importance of quality control is gradually increasing in the construction. And the reber work is very important things which influence in safety and durability of the building and accounts for about 9.8% of the total cost. Although reber work is important, quality control of the rebar work is still performed by attitude and experience of worker. Therefore, it is very important to quality achievement effort and quality standards recognition of rebar worker for quality sophistication in the construction. Some papers have dealt with the quality control in construction. But there was no study for actual conditions of quality standards recognition of rebar workers. The purpose of this study is to survey the actual conditions of quality standards recognition of rebar workers and to analyze difference of consciousness of administrator and worker. The result are : there id difference of consciousness of worker and administrator, workers work without knowing quality standard.

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The Survey for Expert Group of Recognition about Forest Management in Jirisan National Park (지리산국립공원 내 산림관리에 관한 전문가 인식 조사)

  • Kim, Dong-Hyeon;Kim, Eui-Gyeong;Park, Sang-Byeong;Lee, Jeong-Hwan
    • Journal of Korean Society of Forest Science
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    • v.99 no.4
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    • pp.645-653
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    • 2010
  • This study carried out the recognition of appropriate forest managements and directions in Jirisan National Park. For this purpose, we undertook interview survey about the recognition of forest management in Jirisan National Park from ecological and forest research fields' experts. From the statistical analysis results, it was founded that the difference among respondents' types was detected about recognition of forest management in National park. However, all the respondent types recognized that the forest management in National park is essential. So the forest management in national park by forest experts and relevant institutions are revealed needed.

Stress of Noise on Dental Technician (치과기공사의 소음 스트레스)

  • Lee, Ju Hee
    • The Journal of Korean Academy of Dental Technology
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    • v.36 no.2
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    • pp.111-118
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    • 2014
  • Purpose: Production of dental prosthesis by a dental technician causes a loud noise. Thus, we investigated stress of dental technicians due to a noise using a structured questionnaire. Methods: A survey was conducted on working dental technicians across the country from July 2013 to November 2013; among 200 sets of survey distributed, 166 were completed and returned, and excluding the 11 that deemed unsuitable, 155 sets were used for statistics. The program SPSS 19.0 was used to analyze the correlation among the collected data. Results: The stress of noise was found to be 2.83/5 points (2.93/5 for physical stress, 2.72/5 for emotional stress). Recognition of noise was found to be 2.71/5 points (3.39/5 for recognition of noise, 2.64/5 for accidents caused by noise, 2.29/5 for experiencing disability due to noise). For general items, the highest stress were shown for the following catogories: by gender, females (p=.008); by position, chief engineer (p=.033); by monthly pay, 2.51M-3.0M KRW (p=.023); by interior comfort, 'very unpleasant' was the highest recognized (p=.014). For the effect of time exposed to noise, its stress (p=.000) and recognition (p=.000) rose with increase of time. Conclusion: Dental technicians performs tasks in work environments exposed to extreme noise. This research attempts to re-emphasize the necessity for improving the work environment for noise and provide measures of blocking noise and precaution.

The Study on the Recognition of Diagnosis Related Group in Healthcare Workers (포괄수가제 확대시행에 따른 의료기관 종사자의 인지도 조사)

  • Park, Ji-Kyeong;Lee, Ko-Eun
    • The Korean Journal of Health Service Management
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    • v.7 no.4
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    • pp.243-257
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    • 2013
  • This study was conducted in order to survey in healthcare worker's recognition of diagnosis related group(below; DRG) effect from July 1, 2012, to examine their recognition, expectation of the DRG system, and to provide the basic data necessary for the enforcement of the settlement. The subjects of this study were workers at clinics and hospitals sampled from hospital with DRG applying 7 diseases in Busan and Kyung-nam. A questionnaire of survey was conducted with the subjects working at clinics and hospitals from July, 25, 2012 to September 7, 2012, and the subjects were limited to doctors, officers, nurses, medical technicians and nurse assistants, and a total of 618 subjects were enrolled in this study. In the result of this study, generally, the healthcare workers recognized the DRG system. But their knowledge about that was not clear. Expanding enforcement DRG system at the present time, to provide accurate information to the healthcare consumer, workers need to know about DRG system clearly. To this end, for national health policy and medical institutions, workers should be educated constantly about providing medical service as well as the duty of enough explanation about the healthcare consumer's right to know.

A Survey of Shape Descriptors in Computer Vision (컴퓨터비전에서 사용되는 모양표시자의 현황)

  • 유헌우;장동식
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.2
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    • pp.131-139
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    • 2003
  • Shape descriptors play an important role in systems for object recognition, retrieval, registration, and analysis. Seven well-known descriptors including MPEG-7 visual descriptors arebriefly reviewed and a new robust pattern recognition descriptor is proposed. Performance comparison among descriptors are presented. Experiments show that the newly proposed descriptor yields better performance results than Fourier, invariant moment, and edge histogram descriptors.

A Comparative Study on Object Recognition about Performance and Speed (물체 인식의 성능 및 속도 개선 방향에 대한 비교 연구)

  • Kim, Jun-Chul;Kim, Hak-Il
    • Proceedings of the IEEK Conference
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    • pp.1055-1056
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    • 2008
  • In this paper, we survey various Robust Object Recognition Algorithms. One of the core technologies for local feature detector is Scale Invariant Feature Transform. And we compared several algorithms with SIFT based on IPP technology. As a result, the conversion of source codes using IPP is sped up. And this will be more improved recognition speed using SIMD Instructions.

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A Comparison of Effective Feature Vectors for Speech Emotion Recognition (음성신호기반의 감정인식의 특징 벡터 비교)

  • Shin, Bo-Ra;Lee, Soek-Pil
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.10
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    • pp.1364-1369
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    • 2018
  • Speech emotion recognition, which aims to classify speaker's emotional states through speech signals, is one of the essential tasks for making Human-machine interaction (HMI) more natural and realistic. Voice expressions are one of the main information channels in interpersonal communication. However, existing speech emotion recognition technology has not achieved satisfactory performances, probably because of the lack of effective emotion-related features. This paper provides a survey on various features used for speech emotional recognition and discusses which features or which combinations of the features are valuable and meaningful for the emotional recognition classification. The main aim of this paper is to discuss and compare various approaches used for feature extraction and to propose a basis for extracting useful features in order to improve SER performance.

STUDY OF RECOGNITION OF MALOCCLUSION AND ORTHODONTIC TREATMENTS (부정교합과 교정치료에 대한 인식변화에 관한 연구)

  • Lee, SShin-Jae;Kim, Tae-Woo;Suhr, Cheong-Hoon
    • The korean journal of orthodontics
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    • v.24 no.1
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    • pp.193-198
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    • 1994
  • In this study, in order to survey the effect on public recognition in malocclusion and orthodontic treatment by brochures made by Korean orthodontic association, sample were divided into control and experimental group and a questionnaire was inguired and the results were as follows: 1. In the experimental group, frequency of recognition for the need of orthodontic treatment was high, and this indicates dental health behavior and recognition can be inspired by adequate giving of information. 2. Between the control and the experimental group, patterns of the negative opinion was different, and especially the demand for specific orthodontic treatment can be influenced by the content of brochures. 3. The brochures used in this study can call attention to develope the orthodontic aspect for the malocclusion, hereafter more systemic and active measures for development of public dental behavior and recognition should be needed.

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Feature Recognition: the State of the Art

  • JungHyun Han
    • Korean Journal of Computational Design and Engineering
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    • v.3 no.1
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    • pp.68-85
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    • 1998
  • Solid modeling refers to techniques for unambiguous representations of three-dimensional objects. Feature recognition is a sub-discipline focusing on the design and implementation of algorithms for detecting manufacturing information such as holes, slots, etc. in a solid model. Automated feature recognition has been an active research area in stolid modeling for many years, and is considered to be a critical component for CAD/CAM integration. This paper gives a technical overview of the state of the art in feature recognition research. Rather than giving an exhaustive survey, I focus on the three currently dominant feature recognition technologies: graph-based algorithms, volumetric decomposition techniques, and hint-based geometric reasoning. For each approach, I present a detailed description of the algorithms being employed along with some assessments of the technology. I conclude by outlining important open research and development issues.

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A Survey of Face Recognition Techniques

  • Jafri, Rabia;Arabnia, Hamid R.
    • Journal of Information Processing Systems
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    • v.5 no.2
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    • pp.41-68
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    • 2009
  • Face recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years because of its many applications in various domains. Face recognition techniques can be broadly divided into three categories based on the face data acquisition methodology: methods that operate on intensity images; those that deal with video sequences; and those that require other sensory data such as 3D information or infra-red imagery. In this paper, an overview of some of the well-known methods in each of these categories is provided and some of the benefits and drawbacks of the schemes mentioned therein are examined. Furthermore, a discussion outlining the incentive for using face recognition, the applications of this technology, and some of the difficulties plaguing current systems with regard to this task has also been provided. This paper also mentions some of the most recent algorithms developed for this purpose and attempts to give an idea of the state of the art of face recognition technology.