• Title/Summary/Keyword: 선택 속성

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Stop-start wave condition에서 연속류 모델의 개발 -단속연속류 모델에 유한한 가속도를 도입하는 방법-

  • 박지영;박창호
    • Proceedings of the KOR-KST Conference
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    • 1998.10b
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    • pp.295-295
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    • 1998
  • 고속도로에서 교통류의 특성에 파악하여 교통류의 특성을 파악하여 동적행태로 교통상황을 분석하고 효과적인 제어전략, 시뮬레이션, 그리고 기하구조 개선등의 효율적이고 실용적인 적용을 위해서는 교통류의 정확한 모사가 필요하다. 시공간으로 표현되는 상태방정식을 포함하는 거시적 시뮬레이션 모델에 사용되는 연속류 모델은 이러한 교통류 특성을 모사하는데 적절하다. Lighthill과 Whitham(1955), Richard(1956)에 의해 일계도함수의 형태를 가지는 단순모델이 제시된 이후 모델의 결점을 보완하기 위해 많은 고계도 모델이 제시되었지만 고계도 모델이 가진 이론적인 결점에 대해서는 여러 연구들이 제시되어 있다. 또한 고계도 모델은 운동량 방정식의 유도, 정산, 구현의 어려움으로 널리 사용되기 힘들다는 단점을 가지고 있다. 만일 적절히 구현할 수 있다면 적용이 간단한 단순모델로도 보다 정확한 교통류 상황 모사가 가능하다. Ansorge는 혼잡교통류상황을 보다 정확하게 모사하기 위해 단순모델에 엔트로피 조건을 결합시킨 모델을 제시했다. Bui는 이 제안된 모델이 적절한 시뮬레이션 결과를 나타낸다는 것을 밝혔다. 그러나 이 모델은 차량의 재가속이 이루어지는 교통상황-stop-start wave의 경우 비현실적인 값을 가진다. 엔트로피조건에 의해 구해진 해는 실제보다 과다한 교통량을 추정하게 되는데 이런 결과는 위와 같은 교통상황에서 중요한 요소로 작용하는 가속효과가 무시되고 있기 때문이다. 따라서 본 연구에서는 stop-start wave 조건에서 가속도에 경계치를 부여하여 교통류율을 상한경계조건을 제시함으로써 교통상황에 맞는 교통류율을 산정하는 방법에 대해 제안하고자 한다.환승이라는 특정대안변수(Specific alternative variable)를 첨가하여 그것이 수단선택에 미치는 영향을 분석한다. 또한, 대중교통의 속성을 가지고 있는 지하철과 버스를 하나의 대안으로 묶어서 효용함수를 구한 다음 다시 승용차, 택시, 대중교통을 독립된 대안으로 두고 모형을 정립하는 NESTED LOGIT모형으로 파라메타를 추정하여 대중교통의 효용에 관해 분석·비교하였다. 본 논문에 이용된 자료는 공항을 이용하는 이용객들을 대상으로 직접 설문·면접조사한 자료이며 대상 교통수단은 승용차, 택시, 지하철, 버스로 설정하였다. 결과 적응형 알고리즘이 개개인의 최단시간 경로를 제공하는 사용자 평형 경로안내전략에 비해 교통혼잡도와 정체시간의 체류정도에 따라 3%에서 10%까지 전체통행시간을 절약할 수 있다는 결론을 얻었다.출발참, 구성대외개방선면축심, 실현국제항선적함접화국내항반적전항, 형성다축심복사식항선망; 가강기장건설, 개피포동제이국제기장건설, 괄응포동개발경제발전적수요. 부화개시일은 각 5월 26일과 5월 22일이었다. 11. 6월 중순에 애벌레를 대상으로 처리한 Phenthoate EC가 96.38%의 방제가로 약효가 가장 우수하였고 3월중순 및 4월중순 월동후 암컷을 대상으로 처리한 Machine oil, Phenthoate EC 및 Trichlorfon WP는 비교적 약효가 낮았다.>$^{\circ}$E/$\leq$30$^{\circ}$NW 단열군이 연구지역 내에서 지하수 유동성이 가장 높은 단열군으로 추정된다. 이러한 사실은 3개 시추공을 대상으로 실시한 시추공 내 물리검층과 정압주입시험에서도 확인된다.. It was result

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The Analysis of the Dimensions of Affection Structure and Hand Movements (손동작과 정서 차원 분석)

  • Yoo Sang;Han Kwang-Hee;Cho Kyung-Ja
    • Science of Emotion and Sensibility
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    • v.9 no.2
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    • pp.119-132
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    • 2006
  • The dimensions of affection structure from hand movements was developed for the purpose of understanding relationship between affective words and physical factors to apply it to computing environment. To analyze hand movements, three dimensions -direction, time, weight- were found through reconstructing sub-properties of Laban Movement Analysis. The direction dimension has five freedoms of movement (horizontal, vertical, sagittal, circular, shaking) while the time and weight dimensions both have two sub categories each, (sudden, sustained), (light, strong) respectively. By factorial design using the three dimensions, twenty movement were videotaped. Participants rated a list of fifty korean affective words on each twenty movements. The results were studied by nonlinear principal component analysis. The results suggested that time and weight dimensions are closely related with arousal level dimension of affection. Strong and sudden movements associated with highly aroused affection, while light and sustained movements associated with the opposite affection. The direction sub-dimensions were found to be associated with the kinds of affection. Linear movements like horizontal, vortical and sagittal direction were correlated to highly aroused negative affection. Circular movements were found to correlate closely by fun and delight on the graph, while shaking movements were correlated to anxiety and impatience. These results imply that the dimensions of affection structure and sub-properties of hand movements are closely connected with each other.

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A study on Development of the Adequacy Evaluation Indicators for the Regional Industries (지역산업 육성정책의 적정성 평가지표 개발에 관한 연구)

  • Park, Sang-Ok;Won, You-Ho;Lee, Joo-Hyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.10
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    • pp.5260-5267
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    • 2013
  • In order to create a successful regional development model, there should be an effort to foster a strategic industry which boosts a geographical features of rural areas. Because, It must be clear that the strategic industry chosen between choice and concentration of the development of the local industry development which boosts the local economy revitalization. The local government should have continual concern and roles to fulfil political subjects and keep estimating about the possibility that there could be the sustainable development by Task Ahead of the local industry. This study's indicators were established for the adequacy evaluation of the industrial policy by focusing on domestic regional development's success example. Next, Conjoint analysis was conducted on the Experts. On the basis of this analysis, the weights of indicators are derived. And this study suggest the reasonable evaluation system to take Sustainable industry plan of regional strategic. Consequently, 'Regional development' sector separate 3 categories which are 'Local economy', 'Human Resource Development', 'local marketing' and 9 indicators were derived. 'Industrial development' sector derived 9 indicators about 'Construction of infrastructure', 'Technical development' and 'business support'. Looking through the implications of this study. First, the problem needed to be supplemented based on the Diversity and concreteness of Evaluation system when government assesses regional industry development policy. Second, local government have to strategically consider the possibility of convergence between industries and easiness of network in a broad region. Finally, Foundation and support of the professional manpower and companies for the regional industries must be established.

Select the Properties of Storytelling Effects on the Festival of Brand Equity and Reactive (스토리텔링 선택속성이 축제의 브랜드 자산과 사후 행동의도에 미치는 영향)

  • Kim, Hyun-Cheo;Jeon, In-Oh
    • The Journal of the Korea Contents Association
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    • v.13 no.10
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    • pp.480-494
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    • 2013
  • Globally branded culture festival in the region as a key component to the originality and distinction and with local residents and visitors to share experience and has succeeded in branding through Mind. Than mimics festivals in competitive and differentiated cultures containing festivals create a unique festival brand, and through the cultural and economic competitiveness, as well as the phase of the World Festival and preserve local culture and identity. Developing The best areas will be an asset. In order to build this world-class festival brand differentiation strategy above all, must be a top priority, Discrimination discovery and development of the local culture and sensibility in the age of the most powerful marketing tool that is being presented through storytelling brand assets to be passed on to visitors should. Thus the creation of storytelling festivals. Sensitivity of the festival right direction and in an era of paradigm key drivers of the local economy, such as image enhancement, and building long-term regional development and differentiation based on quality of life by creating a local culture can improve will Region's cultural and economic areas, the most important resource for the success of the festival is uniformly short-term planning and configuration, tube-driven operating as a one-sided non-participation. Sharing. Communication with an emphasis on the application of storytelling that is essential is considered.

Development of Prediction Model for Prevalence of Metabolic Syndrome Using Data Mining: Korea National Health and Nutrition Examination Study (국민건강영양조사를 활용한 대사증후군 유병 예측모형 개발을 위한 융복합 연구: 데이터마이닝을 활용하여)

  • Kim, Han-Kyoul;Choi, Keun-Ho;Lim, Sung-Won;Rhee, Hyun-Sill
    • Journal of Digital Convergence
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    • v.14 no.2
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    • pp.325-332
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    • 2016
  • The purpose of this study is to investigate the attributes influencing the prevalence of metabolic syndrome and develop the prediction model for metabolic syndrome over 40-aged people from Korea Health and Nutrition Examination Study 2012. The researcher chose the attributes for prediction model through literature review. Also, we used the decision tree, logistic regression, artificial neural network of data mining algorithm through Weka 3.6. As results, social economic status factors of input attributes were ranked higher than health-related factors. Additionally, prediction model using decision tree algorithm showed finally the highest accuracy. This study suggests that, first of all, prevention and management of metabolic syndrome will be approached by aspect of social economic status and health-related factors. Also, decision tree algorithms known from other research are useful in the field of public health due to their usefulness of interpretation.

The Allocation Precedence of the Limited Same Resource to the Concurrent Activities under Multiple Criteria (다기준하 동일 한정 자원의 배당 우선순위 결정)

  • Hwang, Jin-Ha
    • Korean Journal of Construction Engineering and Management
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    • v.9 no.5
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    • pp.159-167
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    • 2008
  • This study provides a effective approach to the construction management problem with the limited number or amount of available resources using the analytic hierarchy process. Construction management is a series of decision making processes for planning and controling of cost, time and quality as main objectives in construction works. When several activities need the limited same resource at the same time, it is very hard to decide the priority of the activities in the real situations. For that the scientific decision making method and procedure for resource allocation are required. This study solves the resource allocation problem by dealing with the decision making problem which the activities are distributed to multiple projects and under multiple criteria. The analytic hierarchy process is a method devised to solve complex multi-criteria decision problems. The result shows that this study can be effectively used to make decisions in situations involving multiple objectives by evaluating the prioritized ranking and degree of the activity alternatives based on the overall preferences.

Online Information Retrieval and Changes in the Restaurant Location: The Case Study of Seoul (온라인 정보검색과 음식점 입지에 나타나는 변화: 서울시를 사례로)

  • Lee, Keumsook;Park, Sohyun;Shin, Hyeyoung
    • Journal of the Economic Geographical Society of Korea
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    • v.23 no.1
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    • pp.56-70
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    • 2020
  • This study identifies the impact of social network service (SNS) on the spatial characteristics of retail stores locations in the hyper-connected society, which have been closely related to the everyday lives of urban residents. In particular, we focus on the changes in the spatial distribution of restaurants since the information retrieval process was added to the decision-making process of a consumer's restaurant selection. Empirically, we analyze restaurants in Seoul, Korea since the smart-phone was introduced. By applying the kernel density estimation and Moran's I index, we examine the changes in the spatial distribution pattern of restaurants during the last ten years for running, newly-open and closed restaurants as well as SNS popular ones. Finally, we develop a spatial regression model to identify geographic features affecting their locations. As the results, we identified geographical variables and online factors that influence the location of restaurants. The results of this study could provide important groundwork for food and beverage location planning and policy formulation.

Generation of Efficient Fuzzy Classification Rules Using Evolutionary Algorithm with Data Partition Evaluation (데이터 분할 평가 진화알고리즘을 이용한 효율적인 퍼지 분류규칙의 생성)

  • Ryu, Joung-Woo;Kim, Sung-Eun;Kim, Myung-Won
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.1
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    • pp.32-40
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    • 2008
  • Fuzzy rules are very useful and efficient to describe classification rules especially when the attribute values are continuous and fuzzy in nature. However, it is generally difficult to determine membership functions for generating efficient fuzzy classification rules. In this paper, we propose a method of automatic generation of efficient fuzzy classification rules using evolutionary algorithm. In our method we generate a set of initial membership functions for evolutionary algorithm by supervised clustering the training data set and we evolve the set of initial membership functions in order to generate fuzzy classification rules taking into consideration both classification accuracy and rule comprehensibility. To reduce time to evaluate an individual we also propose an evolutionary algorithm with data partition evaluation in which the training data set is partitioned into a number of subsets and individuals are evaluated using a randomly selected subset of data at a time instead of the whole training data set. We experimented our algorithm with the UCI learning data sets, the experiment results showed that our method was more efficient at average compared with the existing algorithms. For the evolutionary algorithm with data partition evaluation, we experimented with our method over the intrusion detection data of KDD'99 Cup, and confirmed that evaluation time was reduced by about 70%. Compared with the KDD'99 Cup winner, the accuracy was increased by 1.54% while the cost was reduced by 20.8%.

Application Profile for Multi-Cultural Content Based on KS X 7006 Metadata for Learning Resources (다문화 구성원을 위한 학습자원 메타데이터 응용표준 프로파일)

  • Cho, Yong-Sang;Woo, Ji-Ryung;Noh, KyooSung
    • Journal of Digital Convergence
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    • v.15 no.4
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    • pp.91-105
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    • 2017
  • Korea is rapidly becoming a multicultural society in recent years, and the number of multicultural families in 2015 exceeds 3.5% and 800,000. Also, as international marriage rate exceeds 10% by 2016, the number of multicultural families is expected to steadily increase. This study is a design of a metadata application profile as part of the foundation for providing learning resources and content tailored to the needs and preferences of married immigrant women and multicultural family members who need to adapt to Korean society. In order to verify the necessity of the research, we conducted an in-depth interview by screening consumer groups, and analyzed the relevant international and Korean national standards as de-jure standards for the design of metadata standard profiles. Then, we analyzed the contents characteristics for multicultural members, and organized the necessary metadata elements into profiles. We defined the mandatory/optional conditions to reflect the needs of content providers. This study is meaningful in that the study analyzes the educational needs of married immigrant women and presents the necessary metadata standards to develop and service effective educational content, such as korean-to-korean conversion system, personalized learning contents recommendation service, and learning management system.

Digital Divide and Digital Literacy on the Perspective of Audience Welfare (디지털 격차와 디지털 리터러시: 수용자 복지 정책적 함의)

  • Ahn, Jung-Im
    • Korean journal of communication and information
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    • v.36
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    • pp.78-108
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    • 2006
  • This study examines the digital divide, one of the main issues in digital media environment, in relation with the digital literacy on the perspective of audience welfare. The study explores the current state of audience welfare policy with regard to the issue of digital divide which can be seen as the dark side of this flourishing digital technology society. The barriers and enablers of the digital divide are discussed with the question of how these factors are related with the digital literacy competence of audience. It has been criticized that both the research efforts and the policy implementations on the digital divide had been set within the limitation of physical access to the digital equipment and technology. Recent studies suggested that the digital divide should be viewed in dynamic interaction of a variety of factors such as psychological dispositions, inner attitudes toward digital media, competence and ability of audiences as well as socio-economic status of individuals. Despite the recent inclusive discussion, however, the role of digital literacy in the digital divide remains unexplored. It should be noted that the question of access is not just to do with equipment, but with skills and knowledge that are required to use equipment. This notion suggests an important implication for the digital divide policy establishment. This study proposes a two-stage solution for reducing the digital divide, in which the first stage focuses on physical access and technology education and the second stage on the digital literacy education.

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