• Title/Summary/Keyword: Recognition Policy

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Analysis of the hydrogen energy policy and R&D program of foreign countries (해외 수소에너지 정책 및 연구개발 프로그램 분석)

  • Kang, Seok-Hun;Kim, Jong-Wook;Hong, Jong-Chul
    • Journal of Hydrogen and New Energy
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    • v.16 no.2
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    • pp.199-207
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    • 2005
  • Hydrogen is getting more attention owing to the seriousness of air pollution and dependance on oil import, UNCCC(United Nations Convention on Climate Change) for reducing the emission of $CO_2$. This fact is not confined in a certain country but global recognition and several countries initiated R&D competition for commercializing the hydrogen fuel cell vehicle. Within 20${\sim}$30 years cost effective hydrogen production can be possible using fossil fuels because so much research is carried out up to now. But it is so far to produce the most of the hydrogen using renewable resources considering the present status of R&D and cost effectiveness. Several automobile companies planed for mass production of hydrogen vehicle by 2010 but changed or canceled the plan owing to the difficulty of R&D and the low status of infrastructure penetration. This paper surveyed the hydrogen energy policy, R&D program and commercialization strategy of advanced country, international agency, automobile and energy company to analyze the global status of R&D and policy. And the survey of R&D program is focused on the part of hydrogen production, storage, delivery and fuel cell.

The Survey Research on Pregnant Woman's recognition about GO-UN-MAM CARD of Childbirth Promotion Policy (출산장려정책 중 고운맘 카드에 대한 산모들의 인식 조사)

  • Kim, Han-Kyoul;Lim, Sung-Won;Lee, Ru-Ree;Park, Soo-Hyun;Go, Dun-Sol;Na, Ha-Neul;Lee, Kyung-Sook;Rhee, Hyun-Sill
    • Journal of Digital Convergence
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    • v.10 no.3
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    • pp.241-250
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    • 2012
  • Low birth rate is a persisting national challenge that causes a decrease in productive population and an increase in encumbrances by ever rising insurance premiums, eventually threatening the existence of the country. This study investigated the effectiveness of the current government's undergoing economic support of the child-birth promotion policy, "go-un-mam card", and suggested improvement plans about the problems derived on the basis of the perceptions of the card users. Multi-response analysis was used to find out the preference of the policy, and chi-square test was conducted to discover the user satisfaction rate and intent of re-parturition. Also, descriptive analysis was performed to identify the degree of the policy recognition. The results illustrated that a significant association exists between the satisfaction rate and the intention of re-parturition. In addition, pregnant women gained information about the policy from governmental agencies and medical institution as well as by word of mouth; then, applied to the policy. Also, the card users only took an advantage of discounts in the hospitals within the supported monetary amounts. Moreover, the card users expressed their dissatisfaction at the monetary amounts. For instance, the users were dissatisfied with the limit on the amount to be used in a day and requested upgrade on the monetary amounts. Based on the result, the government will improve and develop the go-un-mam card for the ultimate purpose of policy, increasing birth-rate.

Hand Biometric Information Recognition System of Mobile Phone Image for Mobile Security (모바일 보안을 위한 모바일 폰 영상의 손 생체 정보 인식 시스템)

  • Hong, Kyungho;Jung, Eunhwa
    • Journal of Digital Convergence
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    • v.12 no.4
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    • pp.319-326
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    • 2014
  • According to the increasing mobile security users who have experienced authentication failure by forgetting passwords, user names, or a response to a knowledge-based question have preference for biological information such as hand geometry, fingerprints, voice in personal identification and authentication. Therefore biometric verification of personal identification and authentication for mobile security provides assurance to both the customer and the seller in the internet. Our study focuses on human hand biometric information recognition system for personal identification and personal Authentication, including its shape, palm features and the lengths and widths of the fingers taken from mobile phone photographs such as iPhone4 and galaxy s2. Our hand biometric information recognition system consists of six steps processing: image acquisition, preprocessing, removing noises, extracting standard hand feature extraction, individual feature pattern extraction, hand biometric information recognition for personal identification and authentication from input images. The validity of the proposed system from mobile phone image is demonstrated through 93.5% of the sucessful recognition rate for 250 experimental data of hand shape images and palm information images from 50 subjects.

Voice Activity Detection in Noisy Environment using Speech Energy Maximization and Silence Feature Normalization (음성 에너지 최대화와 묵음 특징 정규화를 이용한 잡음 환경에 강인한 음성 검출)

  • Ahn, Chan-Shik;Choi, Ki-Ho
    • Journal of Digital Convergence
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    • v.11 no.6
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    • pp.169-174
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    • 2013
  • Speech recognition, the problem of performance degradation is the difference between the model training and recognition environments. Silence features normalized using the method as a way to reduce the inconsistency of such an environment. Silence features normalized way of existing in the low signal-to-noise ratio. Increase the energy level of the silence interval for voice and non-voice classification accuracy due to the falling. There is a problem in the recognition performance is degraded. This paper proposed a robust speech detection method in noisy environments using a silence feature normalization and voice energy maximize. In the high signal-to-noise ratio for the proposed method was used to maximize the characteristics receive less characterized the effects of noise by the voice energy. Cepstral feature distribution of voice / non-voice characteristics in the low signal-to-noise ratio and improves the recognition performance. Result of the recognition experiment, recognition performance improved compared to the conventional method.

Lip Reading Method Using CNN for Utterance Period Detection (발화구간 검출을 위해 학습된 CNN 기반 입 모양 인식 방법)

  • Kim, Yong-Ki;Lim, Jong Gwan;Kim, Mi-Hye
    • Journal of Digital Convergence
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    • v.14 no.8
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    • pp.233-243
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    • 2016
  • Due to speech recognition problems in noisy environment, Audio Visual Speech Recognition (AVSR) system, which combines speech information and visual information, has been proposed since the mid-1990s,. and lip reading have played significant role in the AVSR System. This study aims to enhance recognition rate of utterance word using only lip shape detection for efficient AVSR system. After preprocessing for lip region detection, Convolution Neural Network (CNN) techniques are applied for utterance period detection and lip shape feature vector extraction, and Hidden Markov Models (HMMs) are then used for the recognition. As a result, the utterance period detection results show 91% of success rates, which are higher performance than general threshold methods. In the lip reading recognition, while user-dependent experiment records 88.5%, user-independent experiment shows 80.2% of recognition rates, which are improved results compared to the previous studies.

Speech Recognition Performance Improvement using Gamma-tone Feature Extraction Acoustic Model (감마톤 특징 추출 음향 모델을 이용한 음성 인식 성능 향상)

  • Ahn, Chan-Shik;Choi, Ki-Ho
    • Journal of Digital Convergence
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    • v.11 no.7
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    • pp.209-214
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    • 2013
  • Improve the recognition performance of speech recognition systems as a method for recognizing human listening skills were incorporated into the system. In noisy environments by separating the speech signal and noise, select the desired speech signal. but In terms of practical performance of speech recognition systems are factors. According to recognized environmental changes due to noise speech detection is not accurate and learning model does not match. In this paper, to improve the speech recognition feature extraction using gamma tone and learning model using acoustic model was proposed. The proposed method the feature extraction using auditory scene analysis for human auditory perception was reflected In the process of learning models for recognition. For performance evaluation in noisy environments, -10dB, -5dB noise in the signal was performed to remove 3.12dB, 2.04dB SNR improvement in performance was confirmed.

A Study on Moral Recognition of Blog Activity with China Netizen (중국 네티즌의 블로그 활동 윤리의식에 관한 연구)

  • Yu, Seung-Yeob
    • Journal of Digital Convergence
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    • v.9 no.2
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    • pp.101-110
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    • 2011
  • This study has a blog usage experience with china netizen. We found the impact that blog usage motive, usage type, blog involvement and political-society disposition influence on a moral recognition with a blog activity. Results were as follows: First, A blog usage motive appeared seven, self-expressive and informational search motives were revealed that we had an influence on moral recognition of blog activity. Second, they had the difference in a blog usage motive according to a blog involvement and blog involvement reveled that we had an influence on moral recognition of blog activity. Third, the society involvement disposition of china netizen had an influence on moral recognition of blog activity, it effects on significantly social motivation of blog usage. The implication of this study is a follows. We verified the blog usage motive, type, blog involvement and society involvement disposition are important elements which understand a blog activity. Finally, we confirmed that psychological and social motive related to moral recognition of blog activity.

Effects of Foreign Students' Entrepreneurship on Start-up Recognition and Intention

  • Hong, Seongsil;Yang, Young Seok
    • East Asian Journal of Business Economics (EAJBE)
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    • v.4 no.2
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    • pp.12-27
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    • 2016
  • This study aims to investigate the effects of foreign students' entrepreneurship on start-up recognition and intention. Due to the expanded policy of attracting foreign students with current Korean wave, it has rapidly increased the number of foreign students in Korea. The number of foreign students in Korea has increased from 50,000 up to 100,000 in 2012. Approximately half of number was resided in Seoul capital, surrounding satellite cities and followed by Kyeongsang, Chungcheong and Jeolla province regions. In this study, we examined the correlation of entrepreneurship with start-up recognition and intention of foreign students living in Daejeon city. The research model was constructed with entrepreneurship and start-up intention as independent and dependent variable, respectively, and start-up recognition as a moderating variable. Furthermore, the entrepreneurship of foreign students as independent variable contains innovativeness, pro-activeness, risk-taking and social responsibility. In the survey, we collected 119 responding foreign students belonging to KAIST, Chungnam National University and Hanbat National University and analyzed the correlations of these variables with 116 significant answers. To validate the hypotheses, linear regression analysis tool in SPSS program was used. As a result of the survey, entrepreneurship components such as innovativeness, pro-activeness, risk-taking and social responsibility affected start-up intention positively. In addition, start-up recognition as a moderating variable affected positively between entrepreneurship and start-up intention. However, it has the limitation to generalize the overall correlation of entrepreneurship with start-up recognition and intention for foreign students living in Korea because the survey was only performed in restricted Daejeon city area. Nonetheless, this study can be useful for understanding the foreign students's trait for entrepreneurship and planning the adequate entrepreneurship education.

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.