• 제목/요약/키워드: plan-based model

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고도정수처리에 따른 상수도 공급과정에서의 소독부산물 농도 예측모델 개발 (Development of a Concentration Prediction Model for Disinfection By-product according to Introduce the Advanced Water Treatment Process in Water Supply Network)

  • 서지원;김기범;김기범;구자용
    • 상하수도학회지
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    • 제31권5호
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    • pp.421-430
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    • 2017
  • In this study, a model was developed to predict for Disinfection By-Products (DBPs) generated in water supply networks and consumer premises, before and after the introduction of advanced water purification facilities. Based on two-way ANOVA, which was carried out to statistically verify the water quality difference in the water supply network according to introduce the advanced water treatment process. The water quality before and after advanced water purification was shown to have a statistically significant difference. A multiple regression model was developed to predict the concentration of DBPs in consumer premises before and after the introduction of advanced water purification facilities. The prediction model developed for the concentration of DBPs accurately simulated the actual measurements, as its coefficients of correlation with the actual measurements were all 0.88 or higher. In addition, the prediction for the period not used in the model development to verify the developed model also showed coefficients of correlation with the actual measurements of 0.96 or higher. As the prediction model developed in this study has an advantage in that the variables that compose the model are relatively simple when compared with those of models developed in previous studies, it is considered highly usable for further study and field application. The methodology proposed in this study and the study findings can be used to meet the level of consumer requirement related to DBPs and to analyze and set the service level when establishing a master plan for development of water supply, and a water supply facility asset management plan.

목조주택 모형개발을 위한 평면모듈 설정에 대한 연구 - 기둥-보 방식 구조를 중심으로 - (A study on the Plan Modular Establishment for the Development of Wooden Dwelling Model - Focused on the Post & Beam Structure -)

  • 강만호;주석중;김재덕
    • 한국주거학회논문집
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    • 제18권1호
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    • pp.141-148
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    • 2007
  • In this research, to develope wooden house model with post & beam structure which is commensurate with domestic environment, we analyzed the size and module of a unit space and space organization of existing habitation, then, based on the result, we tried to suggest general wood house modules. For this, we investigated 98 floor plans for 30 pyeong apartment in Seoul, Gyounggi-do, Gwangju, and Jeolla-do. The results are showed as follows. 1) It has shown that 7 posts distances are available in 2 bay floor plan type - 3.0 m, 3.3 m, 3.6 m, 3.9 m, 4.2 m, 4.5 m, and 4.8 m. 2) It has shown that 8 posts distances are available in 3 bay floor plan type - 3.0 m, 3.3 m, 3.6 m, 3.9 m, 4.2 m, 4.5 m, 4.8 m, and 5.1 m. It was concluded as follows, applying the standard of regulations of horizontal modular coordination design, from $\ulcorner$the standard of modular coordination design in architecture(KSF 1525)$\lrcorner$. 1) The available widths are 3.0 m, 3.3 m, 3.6 m, 4.2 m, and 4.8 m, and the available depths are 3.0 m, 3.3 m, 3.6 m, and 4.2 m. 2) To guarantee a space through post module of a room combination, we can use a module of 3.6 m, 4.2 m, 4.8 m except 3.0 m, 3.3 m among available modules. The module investigated in post & beam structure wooden house is applied in basic 6 floor plans as follows. 1) When organize the room on the basis of tile module of 3.6 m, 4.2 m, it was possible to organize the floor plan. 2) After arranging main room, making practical application of variableness which is advantage of post & beam structure, putting to practical use of extra space that becomes the combination of atypical room such as kitchen, dining room, and bathroom, it was possible to organize the floor plan of the residence. 3) It is possible to organize whole rooms through the plan module from 3.6 m to 4.2 m, that decides the floor plan of a wooden house.

LiDAR 데이터와 항공사진의 통합을 위한 사각 빌딩의 경계점 설정 (A Study for the Border line Extraction technique of City Spatial Building by LiDAR Data)

  • 연상호;이영욱
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2007년도 추계 종합학술대회 논문집
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    • pp.27-29
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    • 2007
  • 도심지의 공간을 대부분 차지하고 있는 건물의 높이는 지상의 기준점으로 부터의 상대적인 수직거리로 산정하여 3차원의 정보이다. 그러나 지형도의 등고선으로는 알 수 없는 높이이므로 도심지의 스카이 라인이나 건물의 높이 등은 지도에 누락되어 실제적으로 도시계획과 공간 정보를 구축하기 위하여 별도의 측량을 실시하여야 한다. LIDAR는 레이저 스캐너를 항공기에 장착하여 레이저 펄스를 지표면에 주사하고 반사된 레이저 펄스의 도달 시간을 관측함으로써 반사 지점의 공간위치 좌표를 계산해 지표면에 대한 정보를 추출하는 측량기법으로 최근 새로운 지형정보 획득수단으로 부각되고 있다. 이러한 레이저 스캐닝은 센서와 지표면까지의 거리 및 방향을 관측하여 지표면 상의 표고점에 대한 3차원 좌표를 결정한다. 따라서 본 연구에서는 도심공간의 빌딩 및 지형지물에 관한 고밀도의 LiDAR 데이터를 수집하여 건물 중심을 설정하여 건물경계를 추출하여 3차원의 도심 빌딩을 보다 정확하게 생성할 수 있도록 하였다.

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백워드 설계 모형을 적용한 소프트웨어 교과의 교수설계에 관한 연구 (A Study on the Instructional Design of Software Education Based on Backward Design Model)

  • 이영호;구덕회
    • 정보교육학회논문지
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    • 제19권4호
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    • pp.409-418
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    • 2015
  • 본 연구의 목적은 백워드 설계 모형을 적용하여 초등학교 소프트웨어 교육 운영 지침의 '알고리즘과 프로그래밍' 단원의 교수학습계획을 개발함으로써, 백워드 설계 모형이 소프트웨어 교육과정 구성에 주는 시사점을 도출하는 것이다. 연구자는 Wiggins와 McTighe의 백워드 설계 탬플릿에 기초하여, '알고리즘과 프로그래밍' 단원의 교수설계를 개발하였다. 첫째, 교육부에서 제시한 소프트웨어 교육과정 운영 지침에 제시되어 있는 목표, 내용체계표, 성취기준, 단원목표 등을 확인함으로써, '알고리즘과 프로그래밍' 단원에 대한 영속적 이해, 포괄적이고 본질적인 질문, 핵심 지식과 핵심 기능을 도출하였다. 둘째, GRASPS 기법을 활용하여 '알고리즘과 프로그래밍' 단원의 수행 과제와 총체적인 루브릭을 개발하였다. 셋째, '알고리즘과 프로그래밍' 단원을 효과적으로 수업하기 위하여, WHERETO 요소의 14개 활동으로 구성된 7차시 수업을 개발하였다. 마지막으로, 백워드 설계 모형을 이용한 교육과정 구성이 소프트웨어 교육에 미치는 효용성에 대하여 고찰하였다. 백워드 설계 모형은 소프트웨어 교육을 위한 단원 및 수업 설계 개선에 많은 시사점을 제공할 것이라 기대한다.

유전 알고리즘에 기초한 제조셀의 설계 (Design of Manufacturing Cell based on Genetic Algorithm)

  • 조규갑;이병욱
    • 한국정밀공학회지
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    • 제15권12호
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    • pp.72-80
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    • 1998
  • In this study, a design approach based on genetic algorithm is proposed to solve the manufacturing cell design problem considering alternative process plans and alternative machines. The problem is formulated as a 0-1 integer programming model which considers several manufacturing parameters, such as demand and processing time of part, machine capacity, manufacturing cell size, and the number of machines in a machine cell. A genetic algorithm is used to determine process plan for each part, part family and machine cell simultaneously.

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시스템 다이내믹스를 활용한 마을만들기 모형구축 연구 (A Study on the Community Planning Model Using for System Dynamics)

  • 양원모;장준호;여관현
    • 한국시스템다이내믹스연구
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    • 제14권3호
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    • pp.75-103
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    • 2013
  • The purpose of this study is to use system dynamics to establish the relation among each variable through the construction process of Community Planning Model, and examine what changes policy scenarios per alternative cause in Community Planning through policy simulation of the constructed model. Therefore, this study extracted chief variables of Community Planning Projects through precedent researches related to Community Planning, and extracted variables were prepared as causal map to examine in what causal cycle feedback structure within Community Planning they can be explained. Next, Community Planning Model was constructed based on the prepared causal map. The model was verified by specialists' interviews and simulation of example areas. This study, which aimed to construct Community Planning Model using system dynamics, has a significance in that it prepared the foundation to provide useful methodology in monitoring the progress of project or establishing the plan of future Community Planning Projects.

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A Genetic Algorithm for Directed Graph-based Supply Network Planning in Memory Module Industry

  • Wang, Li-Chih;Cheng, Chen-Yang;Huang, Li-Pin
    • Industrial Engineering and Management Systems
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    • 제9권3호
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    • pp.227-241
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    • 2010
  • A memory module industry's supply chain usually consists of multiple manufacturing sites and multiple distribution centers. In order to fulfill the variety of demands from downstream customers, production planners need not only to decide the order allocation among multiple manufacturing sites but also to consider memory module industrial characteristics and supply chain constraints, such as multiple material substitution relationships, capacity, and transportation lead time, fluctuation of component purchasing prices and available supply quantities of critical materials (e.g., DRAM, chip), based on human experience. In this research, a directed graph-based supply network planning (DGSNP) model is developed for memory module industry. In addition to multi-site order allocation, the DGSNP model explicitly considers production planning for each manufacturing site, and purchasing planning from each supplier. First, the research formulates the supply network's structure and constraints in a directed-graph form. Then, a proposed genetic algorithm (GA) solves the matrix form which is transformed from the directed-graph model. Finally, the final matrix, with a calculated maximum profit, can be transformed back to a directed-graph based supply network plan as a reference for planners. The results of the illustrative experiments show that the DGSNP model, compared to current memory module industry practices, determines a convincing supply network planning solution, as measured by total profit.

건강신념 모델에 근거한 베트남 결혼이민여성 영양교육 프로그램 개발 (Development of Nutrition Education Program for Vietnamese Female Marriage Immigrants in Korea Based on the Health Belief Model)

  • 조미영;황지윤
    • 대한영양사협회학술지
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    • 제23권1호
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    • pp.64-77
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    • 2017
  • This study was conducted to develop a nutritional education program based on the health belief model to improve nutritional status among Vietnamese female marriage immigrants in Korea. The education program was developed through literature review, focus group interviews, expert consultation, and pilot tests. Based on theoretical requirements and needs of beneficiaries, the education program was consisted of 16 sessions with nine topics: 'how to evaluate own dietary habits and nutritional status', 'health problems according to dietary habits and nutritional status', 'understanding six food groups', 'healthy eating plan', 'understanding food cultures of Korea and Vietnam', 'traditional and seasonal Korean foods', 'how to cook Korean food', 'nutrition management of family members', and 'practicing of healthy dietary life'. Program contents in each session consisted of activities that could induce outcome and value expectations, self-efficacy, perceived benefits, and barriers and cues to actions regarding dietary behavior. This nutritional education program based on the health belief model would be helpful to implement healthy diet behaviors in Vietnamese marriage immigrants and their families. Extension of these nutritional education programs to health centers and multicultural family support centers would improve the current poor nutrition status of Vietnamese marriage immigrant women. Further studies are needed to validate our program.

Enhanced CNN Model for Brain Tumor Classification

  • Kasukurthi, Aravinda;Paleti, Lakshmikanth;Brahmaiah, Madamanchi;Sree, Ch.Sudha
    • International Journal of Computer Science & Network Security
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    • 제22권5호
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    • pp.143-148
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    • 2022
  • Brain tumor classification is an important process that allows doctors to plan treatment for patients based on the stages of the tumor. To improve classification performance, various CNN-based architectures are used for brain tumor classification. Existing methods for brain tumor segmentation suffer from overfitting and poor efficiency when dealing with large datasets. The enhanced CNN architecture proposed in this study is based on U-Net for brain tumor segmentation, RefineNet for pattern analysis, and SegNet architecture for brain tumor classification. The brain tumor benchmark dataset was used to evaluate the enhanced CNN model's efficiency. Based on the local and context information of the MRI image, the U-Net provides good segmentation. SegNet selects the most important features for classification while also reducing the trainable parameters. In the classification of brain tumors, the enhanced CNN method outperforms the existing methods. The enhanced CNN model has an accuracy of 96.85 percent, while the existing CNN with transfer learning has an accuracy of 94.82 percent.

Agile 방법론을 이용한 소프트웨어 개발 프로젝트관리 (Software development project management using Agile methodology)

  • 김태달
    • 한국인터넷방송통신학회논문지
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    • 제16권1호
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    • pp.155-162
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    • 2016
  • 최근에는 소프트웨어개발 프로세스나 도구보다는 개인과의 상호작용을 희망하고, 고객은 포괄적인 문서보다는 우선 작동하는 소프트웨어를 희망하며, 개발자는 계약에 대한 협상보다는 고객과의 협력을, 서로가 계획을 고수하기 보다는 변화에 대응하는 것을 더욱 가치 있게 생각한다. 이러한 관점에서, 소프트웨어 개발은 프로세스 중심보다는 프로젝트팀에게 자율성과 동기를 부여하고, 열정과 비전 등 인간관계 중심의 관리방식이 요구되고 있다. 최근에 와서 애자일 개발프로세스가 생산성 증대효과, 품질향상, 고객만족 등의 효용성이 입증되면서 프로젝트를 추진 할 때 방법론 선택에 있어, 전문가들에게 주목을 받게 되었다. 시대적 요구와 사용자 요구에 부응하기 위한 방법론 선정과 관련, 본 논문에서는 조직 구성에 있어, 제품 기반의 Cross functional team의 문제점을 해결하고자 제안된 방법론이 Feature Team 모델이며, 이 모델이 Cross functional team을 조직하고, 이 팀이 결과물(프로덕트) 단위가 아니라, 기능단위로 여러 프로덕트에 걸쳐서 개발을 진행하는 모델이라는 점에 대해 조사하였으며, 가치-주도형 애자일 기법을 통해 계획-기반형 모델과 차이점을 제시하였다. 그리고 객체지향모델링을 위해서는 기존의 JAD(joint application development)회의가 목표로 하는 도메인 분석, 요구추출, 모델링과 정리, 검토과정에 있어, UML 구조도와 행동도를 사전에 숙지하고 프로젝트를 진행하도록 제안한다.