• 한국사회복지학회:학술대회논문집
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• 한국사회복지학회 2004년도 춘계학술대회 자료집
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• pp.261-297
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• 2004

Social welfare facilities where provide the socially disadvantaged with proper social services, face financial difficulties. This is because not only of the lack of governmental support, but also of social welfare facilities' lack of skills in developing abundant resources from the private sector. In this context, this study tried to find factors affecting resource mobilization of the social welfare facilities to devise policies in resource development. Mail survey was conducted with the structured questionnaire. Employees in charge of community resource development were asked to answer the questionnaire. The study population were two types of welfare facilities: community welfare centers and residential care facilities. A total of 293 community welfare centers and 632 residential care facilities responded to the survey. The response rate was about 62%. The dependent variable of the study was the amount of resource mobilization in the year 2001 which was measured as the number of donors, the total amount of donation, and estimated amount of gift-in-kind. Three types models were constructed per each welfare facility. Independent variables were selected based on the previous research findings: community environment factor, structural factor, and resource development factor. Multiple regression was utilized to analyze the data. The resource development factor turned out to be significant variable in various models. In the models of donors, the amount of donation, and the amount of gift-in-kind, at least one out of four variables in the resource development factor was significant. Welfare centers which establish the resource development department or hire employees to take care of resource development, and adopt computer software in managing donors, receive more donations than their counterparts. Interestingly, the centers where employees take the responsibility of resource development as well as other responsibilities (dual duty), did not have more resources mobilized than those with no employees for resource development. Using computer software in managing donors turned out to be a significant variable in many models, except for the donor model. In addition, residential care facilities located in urban area have more donors and donations, and among residential facilities those for the elderly, children, and the mentally retarded and those hiring more employees, receive more donations than those for the disabled and those hiring less employees. As for the gift-in-kind model, the centers located in high income area and residential facilities for the elderly, women and mentally retarded receive less gift-in-kind than those for the disabled. Based on the above findings, this study suggested that to mobilize resources the welfare centers as well residential care facilities need to have community resource development department or resource development staffs, and adopt computer software to systematically organize donors.

• 감성과학
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• 제13권1호
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• pp.251-258
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• 2010

'Naturalness'의 경우 화질 평가에 있어서 중요한 요인으로 여겨진다. 'Naturalness'는 다른 감성이 부여되는 이미지의 컨텐츠에 의존하는 중요한 요인이다. The Image Quality Circle은 한 단계에 해당하는 'ness' 단계를 두 가지로 나누었다. 두 단계 중 하나는 lightness, colourfulness, hue and contrast와 같은 지각 속성을 예측하는 단계이다. 다음 단계는 이미지의 컨텐츠에 따른 SSE를 찾는 단계이다. 이 연구에서 이미지들은 TV장르로 분류해 놓았다. 각각의 이미지들은 lightness, colourfulness, hue and contrast를 단계별로 변형시켰다. 각 변형된 이미지의 화질 점수와 SSE의 점수를 실험 참가자들에게 물었다. 정성적 항목에 7 점 단계의 정량적 평가를 실시하였다. 각 장르에 따른 세 가지 SSE를 변수로 이용하여 화질 평가 모델을 수립하였다. 생생함 (vividness)은 모든 장르에 공통으로 존재하는 SSE이고 나머지 SSE들은 모두 모델에서 독립변수로 취급하였다. 그 후 색 속성을 이용하여 각 장르에 따른 생생함을 예측하는 모델을 수립하였다. 생생함은 각 장르에 따라 의미가 다르며 화질 평가와 자연스러움(Naturalness)룰 연결하는 중요한 요인이다. 각 장르마다 생생함이 다른 의미로 여겨지기 때문에 각 장르에 생생함을 최적으로 표현하는 색 속성 또한 장르마다 다를 것이다.

• 한국건설관리학회논문집
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• 제22권3호
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• pp.61-68
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• 2021

본 연구는 서울의 도시화율이 높아지고 도심 내 노후·불량 주거지가 증가함에 따라 지속적인 정비사업의 필요성이 요구되는 가운데 장기간의 사업기간을 소요하는 도시정비형 재개발사업을 대상으로 사업기간에 영향을 미치는 요인을 분석하고자 하였다. 이를 위해 서울 전권역의 2005년 이후 사업구역으로 지정되어 관리처분계획인가까지 완료한 사업구역 중 데이터 구성이 가능한 75개 사업구역을 대상으로 설정하였다. 구역지정부터 관리처분계획인가까지 소요된 기간을 종속변수로 하여, 재개발사업구역의 특성과 경제적 특성, 입지적 특성을 독립변수로 설정하여 헤도닉가격모형으로 분석하였다. 분석결과, 사업구역 규모가 작을수록, 조합원 1인당 차지하는 구역면적이 클수록, 지가변동률이 클수록, KOSPI 지수가 작을수록 소요기간이 단축되는 것으로 나타났다. 본 연구는 사업구역의 규모를 고려한 특성 변수와 사업 진행 시기의 경제적 특성, 입지적 특성을 모형으로 하여 사업의 소요기간에 미치는 영향을 실증분석하였다는 점에서 기존 연구와 차별점을 가진다. 연구결과를 통해 본 연구는 도시정비형 재개발사업의 사업구역 설정 시 사업구역 면적과 조합원수, 경제적 상황 등이 고려되어야 한다는 시사점을 제공하며 이를 통해 재개발사업을 추진하는 시행자와 시공자, 금융기관 등의 사업참여자와 이를 관리하는 지자체 관계자들의 합리적인 의사결정에 도움이 되고자 한다.

• 한국환경복원기술학회지
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• 제26권6호
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• pp.67-84
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• 2023

In some areas of the Republic of Korea, the designation and management of conservation areas do not adequately reflect regional characteristics and often impose behavioral regulations without considering the local context. One prominent example is the Busan EDC area. As a result, conflicts may arise, including large-scale civil complaints, regarding the conservation and utilization of these areas. Therefore, for the efficient designation and management of protected areas, it is necessary to consider various ecosystem factors, changes in land use, and regional characteristics. In this study, we specifically focused on the Busan EDC area and applied machine learning techniques to analyze the habitat of regional species. Additionally, we employed Explainable Artificial Intelligence techniques to interpret the results of our analysis. To analyze the regional characteristics of the waterfront area in the Busan EDC district and the habitat of migratory birds, we used bird observations as dependent variables, distinguishing between presence and absence. The independent variables were constructed using land cover, elevation, slope, bridges, and river depth data. We utilized the XGBoost (eXtreme Gradient Boosting) model, known for its excellent performance in various fields, to predict the habitat probabilities of 11 bird species. Furthermore, we employed the SHapley Additive exPlanations technique, one of the representative methodologies of XAI, to analyze the relative importance and impact of the variables used in the model. The analysis results showed that in the EDC business district, as one moves closer to the river from the waterfront, the likelihood of bird habitat increases based on the overlapping habitat probabilities of the analyzed bird species. By synthesizing the major variables influencing the habitat of each species, key variables such as rivers, rice fields, fields, pastures, inland wetlands, tidal flats, orchards, cultivated lands, cliffs & rocks, elevation, lakes, and deciduous forests were identified as areas that can serve as habitats, shelters, resting places, and feeding grounds for birds. On the other hand, artificial structures such as bridges, railways, and other public facilities were found to have a negative impact on bird habitat. The development of a management plan for conservation areas based on the objective analysis presented in this study is expected to be extensively utilized in the future. It will provide diverse evidential materials for establishing effective conservation area management strategies.

• 한국문헌정보학회지
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• 제15권
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• pp.225-266
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• 1988

Various theories and techniques for the subject catalog have been developed since Charles Ammi Cutter first tried to formulate rules for the construction of subject headings in 1876. However, they do not seem to be appropriate to Korean language because the syntax and semantics of Korean language are different from those of English and other European languages. This study therefore attempts to develop a new Korean subject indexing system, namely Korean String Indexing System(KOSIS), in order to increase the use of subject catalogs. For this purpose, advantages and disadvantages between the classed subject catalog nd the alphabetical subject catalog, which are typical subject ca-alogs in libraries, are investigated, and most of remarkable subject indexing systems, in particular the PRECIS developed by the British National Bibliography, are reviewed and analysed. KOSIS is a string indexing based on purely the syntax and semantics of Korean language, even though considerable principles of PRECIS are applied to it. The outlines of KOSIS are as follows: 1) KOSIS is based on the fundamentals of natural language and an ingenious conjunction of human indexing skills and computer capabilities. 2) KOSIS is. 3 string indexing based on the 'principle of context-dependency.' A string of terms organized accoding to his principle shows remarkable affinity with certain patterns of words in ordinary discourse. From that point onward, natural language rather than classificatory terms become the basic model for indexing schemes. 3) KOSIS uses 24 role operators. One or more operators should be allocated to the index string, which is organized manually by the indexer's intellectual work, in order to establish the most explicit syntactic relationship of index terms. 4) Traditionally, a single -line entry format is used in which a subject heading or index entry is presented as a single sequence of words, consisting of the entry terms, plus, in some cases, an extra qualifying term or phrase. But KOSIS employs a two-line entry format which contains three basic positions for the production of index entries. The 'lead' serves as the user's access point, the 'display' contains those terms which are themselves context dependent on the lead, 'qualifier' sets the lead term into its wider context. 5) Each of the KOSIS entries is co-extensive with the initial subject statement prepared by the indexer, since it displays all the subject specificities. Compound terms are always presented in their natural language order. Inverted headings are not produced in KOSIS. Consequently, the precision ratio of information retrieval can be increased. 6) KOSIS uses 5 relational codes for the system of references among semantically related terms. Semantically related terms are handled by a different set of routines, leading to the production of 'See' and 'See also' references. 7) KOSIS was riginally developed for a classified catalog system which requires a subject index, that is an index -which 'trans-lates' subject index, that is, an index which 'translates' subjects expressed in natural language into the appropriate classification numbers. However, KOSIS can also be us d for a dictionary catalog system. Accordingly, KOSIS strings can be manipulated to produce either appropriate subject indexes for a classified catalog system, or acceptable subject headings for a dictionary catalog system. 8) KOSIS is able to maintain a constistency of index entries and cross references by means of a routine identification of the established index strings and reference system. For this purpose, an individual Subject Indicator Number and Reference Indicator Number is allocated to each new index strings and new index terms, respectively. can produce all the index entries, cross references, and authority cards by means of either manual or mechanical methods. Thus, detailed algorithms for the machine-production of various outputs are provided for the institutions which can use computer facilities.

• 한국통신학회논문지
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• 제19권10호
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• pp.2028-2042
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• 1994

ART(Adaptive Resonance Theory) 신경회로망과 같은 자기조직망에서 신호와 잡음을 적절히 정의한다는 것은 어려운 문제이다. 즉, 한 입력 패턴의 일부분이 어떤 패턴에서는 입력 패턴의 신호로 다루어지나 다른 패턴에서는 잡음으로 취급되어야 할 대도 있다. ART 신경회로망 모델은 신호와 잡음의 정의를 문맥과 학습에 따라 적절하게 규정하기 위하여 계산 단위를 자동적으로 자기척도(Self-Scaling 할 수 있는 기능을 가지고 있다. ART 모델에서의 이러한 자기 척도 기능은 입력 패턴들이 유사한 성질을 가진 경우에는 유효하게 잘 동작한다. 그러나 ART 모델은 기본적으로 하나의 경계 인수에 의해 패턴을 분류하기 때문에 여러가지 성질이 복합된 입력 패턴을 효율적으로 분류하기가 어렵다. 예를 들어 패턴들을 자세하게 분류하기 위하여 경계 인수의 값을 크게 하면 잡음으로 취급되어야 할 부분이 신호로 취급되어 불필요한 인식 부류가 발생한다. 또한 경계 인수를 작게 하면 패턴을 구별하기 위한 중요한 정보가 잡음으로 취급되는 경우가 발생하여 비효율적인 분류를 한다. 본 논문에서는 ART 모델의 이러한 문제점을 해결하기 위하여 복합 특징을 분리 처리할 수 잇는 모듈화된 Coupled-ART 신경회로망 모델을 제안하였다. Coupled-ART 신경회로망 모델은 신경회로망의 구조를 기능별로 모듈화하고 이러한 모듈들을 서로 밀착된 구조로 결합하여 확장된 기능을 수행하는 형태로 구성하였다. 이러한 모듈화된 신경회로망을 통해 패턴 인식 과정에서 다양한 크기나 성질을 가진 특징들에 대한 분류를 비슷한 크기나 성질을 가진 특징들끼리 분리하여 분류를 하였다. 그리고 본 논문에서 제안한 상위층에서 각 모듈의 처리 결과를 종합하여 최종적인 분류를 함으로써 기존의 ART 모델보다 더 효율적으로 패턴을 분류할 수 있다.28.8%$)에서 높고 60 및 40%수분구(水分區)($23.6{\sim}24.1%$)에서 낮은 편이었다. 그러나 옥수수의 조섬유함량(粗纖維含量)에 따라 큰 차이(差異)가 없었다. 건엽(乾葉)의 조단백질함량(粗蛋白質含量)에 따라 큰 차이(差異)가 없었다. 건엽(乾葉)의 조단백질함량(粗蛋白質含量)은 60%수분구(水分區)($14.2{\sim}21.6%$) 및 40%수분구(水分區)($13.8{\sim}16.0%$)가 다른 고토양수분구(高土壤水分區)($7.3{\sim}13.9%$)보다 높은 편이었다. 5. 건경중(乾莖中)의 조섬유함량(粗纖維含量)은 $24.6{\sim}36.7%$로서 건엽중(乾葉中)의 함량(含量)보다 월등히 높았고 조단백질함량(粗蛋白質含量)은 $2.0{\sim}5.3%$로서 건엽중(乾葉中)의 함량(含量)보다 현저히 낮았다. 특(特)히 P.931의 건경중(乾莖中)의 조섬유함량(粗纖維含量)은 다른 작물(作物)에 비해 현저(顯著)히 높은 편이었다.적차이(量的差異)를 나타냈다.間)에는 부(負)(-)의 상관(相關)이 있다.($P{\leq}0.01%$). 5. NEL 및 starch value 환경온도(環境溫度)가 상승(上昇)됨에 따라 감소(減少)된다. 4 엽기(葉期) sorghum식물(植物)의 환경온도(環境溫度)를 달리 하였을 때 NEL가치(價値)는 각각(各各) 4.87MJ($30/25^{\circ}C$), 5.46MJ($25/20^{\circ}C$) 및 5.81MJ/kg($18/8^{\circ}C$)로 변(變)하여 고온(高溫)에서 net energy lactation 축적(蓄積)이 크게 감소(減少)되었다.다.

• 마케팅과학연구
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• 제20권1호
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• pp.89-97
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• 2010

本文研究共同特性对于无选择权的影响, 并涉及到了调节焦点理论. 本文主要着眼于这三个因子以及他们之间的关系. 之前的研究已经广泛涉及到这三个方面. 第一, 共同特性影响已经被广为研究. Tversky (1972) 开创了这个理论, EBA 模型: 通过消除方面. 根据这个理论, 消费者在比较的过程中更易于注意特殊的特性, 而忽略共同特性. 最近, 更多的研究开始针对于此模型对于消费者行为的影响. Chernev (1997) 认为增加共同特性可以减少选择距离. 但是, 随后Chernev (2001) 的研究指出共同特性可能是消费者认知上的负担, 所以他们更喜欢启发式的过程而不是系统式的过程. 这些研究提出了一系列问题: 共同特性是否影响顾客选择? 如果是的话, 这些影响是什么样子的? 第二, 一些研究指出没有选择的状况是消费者最好的选择, 他们在犹豫不决时用这种方法回避选择. 其他关于这一理论的研究是时间的压力, 消费者自信, 以及可供选择的数量. 第三, 调节聚焦理论在目前非常流行. 消费者有两个焦点目标: 促进和制止. 促进聚焦主要和希望, 野心, 成功, 获得等有关; 而制止聚焦和责任, 职责, 安全, 规避等有关. 调节聚焦理论预测了顾客的感情, 创造, 态度, 记忆, 表现, 和判断. 而这些都是市场营销研究的领域这些文献为本文的研究提供了一些理论支持. 特别是增加共同特征而不是忽略他们可以增加选择过程中克制消费者的没有选择状况的比重, 其对于促进消费者的作用确实相反的. 本文通过两个试验进行验证. 第一个是2 X 2 组间的设计(共同特性X调节聚焦), 数码相机作为相关的客体. 特别的是, 调节聚焦变量是从11个问题中取得的. 共同特性包括焦距, 重量, 记忆卡, 电池, 而像素和价格作为独特特性. 结果证明了我们的假设, 那就是增加共同特性增加了克制消费者的无选择比重, 而对促进消费者没有作用. 第二个试验被用来复制第一个实验的结果. 这个实验和之前的基本相同, 只有两个方面不同—主要控制和研究客体. 在促进的前提下, 研究对象必须一些词例如: 利润, 野心, 高兴, 成功, 发展等. 在克制的前提下, 他们必学写下坚持, 安全, 保护, 规避, 损失, 责任等词. 实验证明我们假设是成立的. 本研究说明了共同特性对于顾客选择的二重效果. 增加共同特性可以提高或者降低无选择状况. 本文对于理论研究和实践上都有着贡献. 对于市场营销人员来说, 他们可能需要根据顾客的划分来考虑产品的共同特性. 理论上, 研究结果支持共同特性和无选择状况的调节变量. 最后, 本文也有一些不足, 例如过于强调态度的重要性等. 我们希望本文能够为未来的研究做出抛砖引玉的作用.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.325-330
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• 2005

We are generally interested in the analysis, detection and prediction of structural motifs in proteins, in order to infer compatibility of amino acid sequence to structure in proteins of known three-dimensional structure available in the Protein Data Bank. In this context, we are analyzing some of the well-characterized structural motifs in proteins. We have analyzed simple structural motifs, such as, ${\beta}$-turns and ${\gamma}$-turns by evaluating the statistically significant type-dependent amino acid positional preferences in enlarged representative protein datasets and revised the amino acid preferences. In doing so, we identified a number of ‘unexpected’ isolated ${\beta}$-turns with a proline amino acid residue at the (i+2) position. We extended our study to the identification of multiple turns, continuous turns and to peptides that correspond to the combinations of individual ${\beta}$ and ${\gamma}$-turns in proteins and examined the hydrogen-bond interactions likely to stabilize these peptides. This led us to develop a database of structural motifs in proteins (DSMP) that would primarily allow us to make queries based on the various fields in the database for some well-characterized structural motifs, such as, helices, ${\beta}$-strands, turns, ${\beta}$-hairpins, ${\beta}$-${\alpha}$-${\beta}$, ${\psi}$-loops, ${\beta}$-sheets, disulphide bridges. We have recently implemented this information for all entries in the current PDB in a relational database called ODSMP using Oracle9i that is easy to update and maintain and added few additional structural motifs. We have also developed another relational database corresponding to amino acid sequences and their associated secondary structure for representative proteins in the PDB called PSSARD. This database allows flexible queries to be made on the compatibility of amino acid sequences in the PDB to ‘user-defined’ super-secondary structure conformation and vice-versa. Currently, we have extended this database to include nearly 23,000 protein crystal structures available in the PDB. Further, we have analyzed the ‘structural plasticity’ associated with the ${\beta}$-propeller structural motif We have developed a method to automatically detect ${\beta}$-propellers from the PDB codes. We evaluated the accuracy and consistency of predicting ${\beta}$ and ${\gamma}$-turns in proteins using the residue-coupled model. I will discuss results of our work and describe databases and software applications that have been developed.

• 유통과학연구
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• 제11권10호
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• pp.93-105
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• 2013

Purpose - This empirical analysis determines the structured causal relations between perceived value, customer satisfaction, and repurchase intention among users of traditional markets. The results of this analysis would help merchants and market operators indevisingan appropriate strategy to successfully manage traditional markets. Research design, data, methodology - The perceived value model of traditional markets includes functional value (price), functional value (quality), emotional value, and social value. In this study, the perceived value of traditional markets is considered as an independent variable, while customer satisfaction and repurchase intention are shown as the dependent variables, where customer satisfaction is also considered as the mediating variable. The study aims to ascertain the extent of influence of the perceived value of traditional markets on customer satisfaction and repurchase intention. We use regression analysis to verify the effects. The measurement items were already deemed as reliable and valid in the previous study, but for this purpose, we made some modifications. We distributed questionnaires to 300 consumers on a national scale, and finally used 241 consumer responses among these as a sample. We analyzed the data using the SPSS 21.0 statistical program. Results - We obtained the following results. First, the order of perceived value dimensions of traditional markets that positively impact customer satisfaction is functional value (price), social value, emotional value, and functional value (quality). Second, the perceived value sometimes directly affects repurchase intention; its effect is typically strong with customer satisfaction as a parameter. The order of perceived value dimensions that positively impact repurchase intention is social value, functional value (price), emotional value, and functional value (quality). Third, the perceived value significantly influences repurchase intention, with customer satisfaction as the mediating variable. Conclusions - We should recognize the importance of perceived value in retail distribution markets, such as traditional markets. Moreover, we need to develop strategies to improve the perceived value. The practical implications of the study are as follows. First, with regards to functional value (quality; price) dimensions, we should have an appropriate assortment of high quality products that are reasonably priced. In addition, customers are satisfied with the friendly service, discounts, and other benefits provided by the merchants. Second, in terms of emotional value dimension, we need to develop differentiated events that provide fun and emotional experience to the customers. Third, in the context of social values dimension, we should strive to positively influence society to enhance social image through activities such as social services and contribution to community development. On the basis of these results, we present the implications, limitations, and future directions for the research. One of the policy implications of the study is that merchants of traditional markets must actively select customers and develop customer value. However, this study is limited in the fact that the population used for data collection is not fully representative, as the survey only covered some specific areas. Moreover, future studies could also benefit with additional research using moderating variables.

• 한국컴퓨터정보학회논문지
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• 제20권5호
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• pp.53-63
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• 2015

노래음 합성이란 주어진 가사와 악보를 이용하여 컴퓨터에서 노래음을 생성하는 것이다. 텍스트/음성 변환기에 널리 사용된 HMM 기반 음성합성기는 최근 노래음 합성에도 적용되고 있다. 그러나 기존의 구현방법에는 대용량의 노래음 데이터베이스 수집과 학습이 필요하여 구현에 어려움이 있다. 또한 기존의 상용 노래음 합성시스템은 피아노 롤 방식의 악보 표현방식을 사용하고 있어 일반인에게는 익숙하지 않으므로 읽기 쉬운 표준 악보형식의 사용자 인터페이스를 지원하여 노래 학습의 편의성을 향상시킬 필요가 있다. 이 문제를 해결하기 위하여 본 논문에서는 기존 낭독형 음성합성기의 HMM 모델을 이용하고 노래음에 적합한 피치값과 지속시간 제어방법을 적용하여 HMM 모델 파라미터 값을 변화시킴으로서 노래음을 생성하는 방법을 제안한다. 그리고 음표와 가사를 입력하기 위한 MusicXML 기반의 악보편집기를 전단으로, HMM 기반의 텍스트/음성 변환 합성기를 합성기 후단으로서 사용하여 노래음 합성시스템을 구현하는 방법을 제안한다. 본 논문에서 제안하는 방법을 이용하여 합성된 노래음을 평가하였으며 평가결과 활용 가능성을 확인하였다.