• 제목/요약/키워드: Improvement Approaches

검색결과 764건 처리시간 0.028초

마을만들기 활성화 관점에서 본 서울시 마을만들기 조례 특성에 관한 연구 (The Study on the Characteristic of the Ordinances Related to Community Planning in Seoul Focusing on the Activation of Community Planning)

  • 신화경;조인숙;지예진
    • 한국주거학회논문집
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    • 제28권3호
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    • pp.23-33
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    • 2017
  • The purpose of this study is to identify the characteristics of the community design ordinance in Seoul as view of the community design activation and to seek improvement. The findings of this study are as followings; Most of the provisions of the ordinance, such as the concept of community design, the basic plan, and the contents of the project, are defined in a similar manner. From the establishment of the concept of community design, it is necessary to establish the regulations that reflect the actual situation and characteristics of the village. In addition to physical facilities improvement, the ordinance should include support for securing space at the core center, which plays an important role in revitalizing community design. Step-by-step approaches are needed to understand the residents at the beginning of the project, because there is not enough practical support related to resident capacity and community solidarity. As the importance of the competent residents increases, the support elements related to humanware areas should also be expanded. In particular, the supporting process and contents for the support system and program for the training of village leaders and the securing of professional manpower should be well established.

PDCA 모형에 기초한 QI활동 평가틀 개발 및 사례분석 (Development of QI Activity Evaluation Framework Based on PDCA and Case Study on Quality Improvement Activities)

  • 박연화;이명하;정석희
    • 간호행정학회지
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    • 제18권2호
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    • pp.222-233
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    • 2012
  • Purpose: This study was conducted to develop an evaluation framework for QI activity in medical institutions and to analyze QI activity cases by applying the developed evaluation framework. Method: A four-phase process was employed to develop the evaluation framework, and a descriptive survey was used for the QI case study. Data were collected in April, 2010 by examining 157 QI activity cases presented at conferences and published in Journal of Korean Society of Quality Assurance in Health Care over the past three years. Developed QI activity evaluation instruments were used for data collection. Data were analyzed using the SPSS 18.0 for Windows program. Result: A QI Activity Evaluation Framework was developed. This framework consisted of 45 items. The department with the highest level of QI participation was the nursing department. The most frequent QI activity theme was patient safety. QI activity levels in Korean medical institutions are relatively equalized without significant differences according to institution characteristics. Conclusions: From the quality aspect of QI activity, more systematic and scientific approaches are required to upgrade QI activity. This study could provide methodological guidelines for QI activity and be useful in setting goals and directions for QI activity in medical institutions in Korea.

유/무성/묵음 정보를 이용한 TTS용 자동음소분할기 성능향상 (Improvement of an Automatic Segmentation for TTS Using Voiced/Unvoiced/Silence Information)

  • 김민제;이정철;김종진
    • 대한음성학회지:말소리
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    • 제58호
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    • pp.67-81
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    • 2006
  • For a large corpus of time-aligned data, HMM based approaches are most widely used for automatic segmentation, providing a consistent and accurate phone labeling scheme. There are two methods for training in HMM. Flat starting method has a property that human interference is minimized but it has low accuracy. Bootstrap method has a high accuracy, but it has a defect that manual segmentation is required In this paper, a new algorithm is proposed to minimize manual work and to improve the performance of automatic segmentation. At first phase, voiced, unvoiced and silence classification is performed for each speech data frame. At second phase, the phoneme sequence is aligned dynamically to the voiced/unvoiced/silence sequence according to the acoustic phonetic rules. Finally, using these segmented speech data as a bootstrap, phoneme model parameters based on HMM are trained. For the performance test, hand labeled ETRI speech DB was used. The experiment results showed that our algorithm achieved 10% improvement of segmentation accuracy within 20 ms tolerable error range. Especially for the unvoiced consonants, it showed 30% improvement.

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임펄스성 잡음이 존재하는 실내 무선 환경에서 Multi-Carrier CDMA 시스템의 성능 분석 (Performance Analysis of Multi-Carrier CDMA Systems under Indoor Wireless Environment with Impulsive Noise)

  • 이영춘;박기식;조성준
    • 한국항행학회논문지
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    • 제7권1호
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    • pp.30-37
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    • 2003
  • 본 논문에서는 Middleton이 제안한 A급 임펄스성 잡음이 존재하는 실내 무선 환경에서 MC (Multi-Carrier) CDMA 시스템의 BER (Bit Error Rate) 성능을 분석하였고, 임펄스성이 약한 환경에서부터 강한 환경까지 성능을 평가하였다. 그리고 임펄스성 잡음에 대한 보상 방법으로 Turbo 부호기를 사용하여 성능 개선 정도를 평가하였다. 성능 해석 결과, 임펄스성 잡음 환경에서는 강력한 성능 개선 기법이 시스템에 반드시 필요함을 알 수 있었다. 그리고 임펄스성 잡음 환경에서 터보 부호를 적용하면 BER면에서 약 $10^{-2}$정도 개선됨을 알 수 있었고, AWGN 환경에 근접할수록 터보 부호에 의한 성능 개선 효과가 뚜렷이 나타남을 알 수 있었다.

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Research on the evaluation model for the impact of AI services

  • Soonduck Yoo
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권3호
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    • pp.191-202
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    • 2023
  • This study aims to propose a framework for evaluating the impact of artificial intelligence (AI) services, based on the concept of AI service impact. It also suggests a model for evaluating this impact and identifies relevant factors and measurement approaches for each item of the model. The study classifies the impact of AI services into five categories: ethics, safety and reliability, compliance, user rights, and environmental friendliness. It discusses these five categories from a broad perspective and provides 21 detailed factors for evaluating each category. In terms of ethics, the study introduces three additional factors-accessibility, openness, and fairness-to the ten items initially developed by KISDI. In the safety and reliability category, the study excludes factors such as dependability, policy, compliance, and awareness improvement as they can be better addressed from a technical perspective. The compliance category includes factors such as human rights protection, privacy protection, non-infringement, publicness, accountability, safety, transparency, policy compliance, and explainability.For the user rights category, the study excludes factors such as publicness, data management, policy compliance, awareness improvement, recoverability, openness, and accuracy. The environmental friendliness category encompasses diversity, publicness, dependability, transparency, awareness improvement, recoverability, and openness.This study lays the foundation for further related research and contributes to the establishment of relevant policies by establishing a model for evaluating the impact of AI services. Future research is required to assess the validity of the developed indicators and provide specific evaluation items for practical use, based on expert evaluations.

Weighted Fast Adaptation Prior on Meta-Learning

  • Widhianingsih, Tintrim Dwi Ary;Kang, Dae-Ki
    • International journal of advanced smart convergence
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    • 제8권4호
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    • pp.68-74
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    • 2019
  • Along with the deeper architecture in the deep learning approaches, the need for the data becomes very big. In the real problem, to get huge data in some disciplines is very costly. Therefore, learning on limited data in the recent years turns to be a very appealing area. Meta-learning offers a new perspective to learn a model with this limitation. A state-of-the-art model that is made using a meta-learning framework, Meta-SGD, is proposed with a key idea of learning a hyperparameter or a learning rate of the fast adaptation stage in the outer update. However, this learning rate usually is set to be very small. In consequence, the objective function of SGD will give a little improvement to our weight parameters. In other words, the prior is being a key value of getting a good adaptation. As a goal of meta-learning approaches, learning using a single gradient step in the inner update may lead to a bad performance. Especially if the prior that we use is far from the expected one, or it works in the opposite way that it is very effective to adapt the model. By this reason, we propose to add a weight term to decrease, or increase in some conditions, the effect of this prior. The experiment on few-shot learning shows that emphasizing or weakening the prior can give better performance than using its original value.

MediScore: MEDLINE-based Interactive Scoring of Gene and Disease Associations

  • Cho, Hye-Young;Oh, Bermseok;Lee, Jong-Keuk;Kim, Kuchan;Koh, InSong
    • Genomics & Informatics
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    • 제2권3호
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    • pp.131-133
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    • 2004
  • MediScore is an information retrieval system, which helps to search for the set of genes associated with a specific disease or the set of diseases associated with a specific gene. Despite recent improvement of natural language processing (NLP) and other text mining approaches to search for disease associated genes, many false positive results come out due to diversity of exceptional cases as well as ambiguities in gene names. In order to overcome the weak points of current text mining approaches, MediScore introduces statistical normalization based on binomial to normal distribution approximation which corrects inaccurate scores caused by common words not representing genes and interactive rescoring by the user to remove the false positive results. Interactive rescoring includes individual alias scoring for each gene to remove false gene synonyms, referring MEDLINE abstracts, and cross referencing between OMIM and other related information.

Quantitative Approaches in Use to Assess Cancer Risk

  • Anderson Elizabeth L.
    • 대한예방의학회:학술대회논문집
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    • 대한예방의학회 1994년도 교수 연수회(환경)
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    • pp.450-468
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    • 1994
  • Scientists have long used conventional toxicological methods to establish 'safe levels of exposure' for chemicals presumed to have threshold health effects or doses below which significant effects are unlikely to occur. These same methods cannot be used to establish safe levels of exposure for non-threshold pollutants. such as carcinogens. Therefore. Federal regulatory agencies in the United States are using risk assessment methods to provide information for public health policy decisions concerning increases in risk associated with increases in exposure to carcinogenic and other non-threshold pollutants. Acceptable exposure/risk levels are decided by policymakers who consider descriptions and estimates of risks together with social and economic benefits from the uses of the chemical. 1bis paper focuses on the development of quantitative risk assessment approaches by Federal regulatory agencies in the United States, and identifies the mathematical models currently being used for risk extrapolation. including their inherent uncertainties. The uncertainties and limitations of these methods have led some scientists to question the utility of quantitative risk extrapolation. The experience of the; U.S. Environmental Protection Agency (EPA). as summarized in this paper. can provide a realistic basis for evaluating the pros and cons. Finally. shortcomings in current risk assessment methods and their use in policy decisions are explored. and areas for possible improvement. given current scientific knowledge. are identified.

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극후판 Box-Column의 Lamellar 균열 감수성 평가 (Sensitivity Appraisal for Lamellar Tearing of Box-Column of Ultra Thick Plate)

  • 노찬승;박창수;김흥주;방한서;이창우
    • 한국해양공학회지
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    • 제17권4호
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    • pp.31-36
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    • 2003
  • In case of this thick rolling-steel for a multistory building, a large oil-drilling structure, a large vessel, a bridge and so on, Lamella Tearing around the welded joint zone is the most serious problems. In order to prevent Lamella Tearing, not only is choice of material important, but also the comprehensive investigation for the structural design and the construction. The Lamella Tearing that is a staircase-shape occurs due to the contraction stress to the thickness direction of the plate and has the character that the cracks progress along the elongated inclusion by rolling. In general, because cracks occur at the heat affected zone and around HAZ, it is necessary to establish the safety and the confidence of the welded structure to restrain the welding defect such as Lamella Tearing. The mechanical approaches are the easier and more economical than the approaches of the material and the construction method. In addition, the appropriate welding profile and the optimum welding condition contribute toward the improvement of the productivity and influence on the standardization of the manufacturing technology.

Stability Analysis and Improvement of the Capacitor Current Active Damping of the LCL Filters in Grid-Connected Applications

  • Xu, Jinming;Xie, Shaojun;Zhang, Binfeng
    • Journal of Power Electronics
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    • 제16권4호
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    • pp.1565-1577
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    • 2016
  • For grid-connected LCL-filtered inverters, dual-loop current control with an inner-loop active damping (AD) based on capacitor current feedback is generally used for the sake of current quality. However, existing studies on capacitor current feedback AD with a control delay do not reveal the mathematical relation among the dual-loop stability, capacitor current feedback factor, delay time and LCL parameters. The robustness was not investigated through mathematical derivations. Thus, this paper aims to provide a systematic study of dual-loop current control in a digitally-controlled inverter. At first, the stable region of the inner-loop AD is derived. Then, the dual-loop stability and robustness are analyzed by mathematical derivations when the inner-loop AD is stable and unstable. Robust design principles for the inner-loop AD feedback factor and the outer-loop current controller are derived. Most importantly, ensuring the stability of the inner-loop AD is critical for achieving high robustness against a large grid impedance. Then, several improved approaches are proposed and synthesized. The limitations and benefits of all of the approaches are identified to help engineers apply capacitor current feedback AD in practice.