• 보건행정학회지
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• 제26권4호
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• pp.256-264
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• 2016

Equity-focused public health policy has solid theoretical and practical basis, in addition to ethical one. In the Republic of Korea (hereafter Korea), however, equity in health has not had a high priority in policy goals, regardless of policy areas and particular actors or approaches. Equitable health has been only a minor concern in most public health issues and their decision-making. Generic public health policies are needed to reduce inequity in health, but the importance of a firm basis for sound policy-making cannot be overemphasized. Health equity should be 'mainstreamed' in all public health policies. Potential approaches include intersectoral collaboration, health impact assessment, and 'Health in All Policies.' Public policy agendas for equitable health cannot be formulated without measurement and recognition of the problem. Korea is still suffering from the lack of reliable information on the current status of health inequity, resulting in a relatively weak awareness of the problem among both the general public and policy-makers. More information is needed to increase recognition and awareness that will increase intervention and actions. The absence of decision-making and actions should not be justified even by the lack of information on determinants and pathways of health inequities. Generic plausible solutions can often work in the real world according to political and social commitment. I have discussed several aspects of public health policy from the perspective of health equity, focusing on current status and plausible explanation. Policy process, agenda setting in particular, is highlighted and theories and concepts are presented along with analysis and description of current situation.

• Human Ecology Research
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• 제61권3호
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• pp.389-399
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• 2023

Sustainable fashion products have different characteristics from typical fashion products. Therefore, this study focuses on shoes while exploring the expansion and development of sustainable fashion consumption as well as consumers' perceptions of the sustainability approaches practiced by shoe companies. In-depth interviews were conducted with 24 consumers, who had purchased sustainable shoes, in order to understand their purchase decision-making process and consumption characteristics, using the seven stages of the EBM model. In the "need recognition" stage, the survey participants' social background and family influences were categorized as macro factors, while their personal background influences were categorized as micro factors. In the "evaluation of alternatives" stage, participants reconfirmed whether or not to make a purchase based on the product's properties, such as price, brand value, and offered services. In the "purchase" stage, participants' purchase channels were determined according to their preferences as well as the selection pattern they followed until the final purchase within the chosen channel. In the "consumption" stage, the start of product ownership coincides with the start of using the products after making a purchase. In the "post-purchase assessment" stage, higher positive experiences led to a higher repurchase intention of sustainable shoes, while negative experiences caused participants to defer consumption and made them experience a sense of guilt for failing to consume sustainably. During the "post-purchase behavior" stage, which focused on the categories that the customers prioritized, many participants spread information about sustainable fashion to specific individuals through active online WOM behavior.

• International Journal of Contents
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• 제7권4호
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• pp.84-89
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• 2011

General recognition on the role of a designer has differently changed according to the age and region respectively. This research has clarified general recognition on a designer's role among a designer, experts that designers mainly perform co-work and an ordinary people in a period when the design identity is more confused than any other time. The results of this research are as follows. First, the 13 definitions on a role of a designer in a company were identified through field interview survey by presidents and practical responsible persons in design-specialized companies. Second, it was proved whether there is a difference in recognition on a role of a designer between designers and non-designers. Third, this research divided a group of non-designers into two groups such as a design job-related group mainly performing co-work with designer, and an ordinary people's group that doesn't major design. After that, this research found out the most sympathizing definition on a role of a designer at a company in three groups divided into a designer's group, a design job-related group and an ordinary people's group. The awareness on the role of designer was more objectively regulated three-dimensionally in all aspects of a designers group and a non-designers group. In addition, the findings of recognition difference of each group on a designer's role will help comprehensive understanding on each experts group and an ordinary people. The findings of the research will help in performing co-work of designers and non-designers in design decisionmaking based on understanding of this recognition.

• The Journal of the Acoustical Society of Korea
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• 제17권3E호
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• pp.12-21
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• 1998

In this paper, we describe the one channel five-way, V/U/M/N/S (Voice/Unvoice/Nasal/Silent), classification algorithm for automatically classifying speech. The decision making process is viewed as a pattern viewed as a pattern recognition problem. Two aspects of the algorithm are developed: feature selection and classifier type. The feature selection procedure is studied for identifying a set of features to make V/U/M/N/S classification. The classifiers used are a vector quantization (VQ), a neural network(NN), and a decision tree method. Actual five sentences spoken by six speakers, three male and three female, are tested with proposed classifiers. From a set of measurement tests, the proposed classifiers show fairly good accuracy for V/U/M/N/S decision.

• 경영과정보연구
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• 제12권
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• pp.101-116
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• 2003

After and before the education of business ethics, the recognitive response and interpretation of personnel and information ethics to the standards of business ethics are as follows. 1. In case of personnel ethics, before the education of business ethics, selfishness is at its peak and utilitarianism is in the lowest. It can be understood that it is faithful to the principles of capitalism. 2. In case of personnel ethics, before the education of business ethics, relativism is in the highest level and utilitarianism is in the lowest. Because it means not agreeing on standardized economic equality and the choice of proper ethical standards. It can be understood that the education of business ethics has an effect on ethical making-decision. 3. In case of information ethics, after and before the education of business ethics, righteousness is at its peak and utilitarianism is in the lowest level. I can be interpreted that it means thinking highly of the value of justice and not agreeing to standardized economic equality. 4. The above results show that the education of business ethics has an influence on the recognition of personnel ethics and is effectively used to improve the recognition of personnel and information ethics.

• 제어로봇시스템학회논문지
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• 제4권6호
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• pp.765-771
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• 1998

An artificial neural network(NN) technique is developed for hardware redundant sensor validation. Since the measurement space is a continuous space with many operating regions, it is difficult to train a NN to correctly detect failure in an accurate measurement system. A conventional backpropagation NN is modified to include an additional preprocessing layer that extracts classification features from scalar measurements. This feature extraction means transform the measurement space to parity space. The NN is independent of the state variable being measured, the instrument range, and the signal tolerance. This NN resembles the parity space approach to signal validation, except that analytical parity equations are unneeded and the NN pattern recognition capability is utilized for decision making.

• Nuclear Engineering and Technology
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• 제47권5호
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• pp.624-632
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• 2015

A self-diagnostic monitoring system is a system that has the ability to measure various physical quantities such as temperature, pressure, or acceleration from sensors scattered over a mechanical system such as a power plant, in order to monitor its various states, and to make a decision about its health status. We have developed a self-diagnostic monitoring system for an air-operated valve system to be used in a nuclear power plant. In this study, we have tried to improve the self-diagnostic monitoring system to increase its reliability. We have implemented three different machine learning algorithms, i.e., logistic regression, an artificial neural network, and a support vector machine. After each algorithm performs the decision process independently, the decision-making module collects these individual decisions and makes a final decision using a majority vote scheme. With this, we performed some simulations and presented some of its results. The contribution of this study is that, by employing more robust and stable algorithms, each of the algorithms performs the recognition task more accurately. Moreover, by integrating these results and employing the majority vote scheme, we can make a definite decision, which makes the self-diagnostic monitoring system more reliable.

• 대한전자공학회논문지SP
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• 제43권2호
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• pp.82-86
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• 2006

패턴인식 시스템은 일반적으로 데이터의 전처리, 특징 추출, 학습단계의 과정을 거쳐서 개발되어 진다. 그중에서도 특징 추출 과정은 다차원 공간을 가진 입력 데이터의 복잡도를 줄여서 다음 단계인 학습단계에서 계산 복잡도와 인식률을 향상시키는 역할을 한다. 패턴인식에서 특징 추출 기법으로써 principal component analysis, factor analysis, linear discriminant analysis 같은 방법들이 널리 사용되어져 왔다. 이 논문에서는 singular value decomposition (SVD) 방법이 패턴인식 시스템의 특징 추출과정에 유용하게 사용될 수 있음을 보인다. 특징 추출단계에서 SVD 기법의 유용성을 검증하기 위하여 원격탐사 응용에 적용하였는데, 실험결과는 널리 쓰이는 PCA에 비해 약 25%의 인식률의 향상을 가져온다는 것을 알 수 있다.

• Soft Computing and Machine Intelligence
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• 제1권1호
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• pp.24-30
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• 2021

The accelerated growth of the internet and the enormous amount of data availability has become the primary reason for machine learning applications for data analysis and, more specifically, pattern recognition and decision making. In this paper, we focused on the crowdfunding site Kickstarter and collected the comments in order to apply neural networks to classify the projects based on the sentiments of backers. The power of customer reviews and sentiment analysis has motivated us to apply this technique in crowdfunding to find timely indications and identify suspicious activities and mitigate the risk of money loss.

• 한국지능시스템학회논문지
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• 제12권2호
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• pp.115-122
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• 2002

본 논문에서는 웨이블렛 서브밴드 필터링기법을 이용하여 다중의사 결정기법에 기반을 둔 외부 잡음에 강인한 고립단어 음성인식 알고리즘을 제안하고자 한다. 음성인식에 있어서 외부잡음은 음성인식 알고리듬의 인식률을 저하시키는 주요 원인으로 지적되므로 음성인식기의 성능을 향상시키기 위해서 무엇보다도 잡음에 강인한 음성인식 알고리즘의 개발이 절실히 요구되고 있다. 제안된 알고리즘의 타당성을 검증하기 위하여 다양한 자동차 소음하에서 한국어 단독 숫자음 10단어의 인식률 변동을 알아 보았다. 그 결과 현재 음성인식 기법으로 널리 쓰이고 있는 벡터양자화 알고리즘만을 적용한 경우에 비해 9~25%의 향상된 인식률을 보였다.