• Title/Summary/Keyword: integrated framework

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Assessment of Historical and Future Climatic Trends in Seti-Gandaki Basin of Nepal. A study based on CMIP6 Projections

  • Bastola Shiksha;Cho Jaepil;Jung Younghun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.162-162
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    • 2023
  • Climate change is a complex phenomenon having its impact on diverse sectors. Temperature and precipitation are two of the most fundamental variables used to characterize climate, and changes in these variables can have significant impacts on ecosystems, agriculture, and human societies. This study evaluated the historical (1981-2010) and future (2011-2100) climatic trends in the Seti-Gandaki basin of Nepal based on 5 km resolution Multi Model Ensemble (MME) of 18 Global Climate Models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) for SSP1-2.6, SSP2-4.5 and SSP5-85 scenarios. For this study, ERA5 reanalysis dataset is used for historical reference dataset instead of observation dataset due to a lack of good observation data in the study area. Results show that the basin has experienced continuous warming and an increased precipitation pattern in the historical period, and this rising trend is projected to be more prominent in the future. The Seti basin hosts 13 operational hydropower projects of different sizes, with 10 more planned by the government. Consequently, the findings of this study could be leveraged to design adaptation measures for existing hydropower schemes and provide a framework for policymakers to formulate climate change policies in the region. Furthermore, the methodology employed in this research could be replicated in other parts of the country to generate precise climate projections and offer guidance to policymakers in devising sustainable development plans for sectors like irrigation and hydropower.

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INTEGRATION OF SSM AND IDEF TECHNIQUES FOR ANALYZING DOCUMENT MANAGEMENT PROCESSES

  • Vachara Peansupap;Udtaporn Theingkuen
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.725-731
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    • 2009
  • Construction documents are recognized as an essential component for making a decision and supporting on construction processes. In construction, the management of project document is a complex process due to different factors such as document types, stakeholder involvement, document flow, and document flow processes. Therefore, inappropriate management of project documents can cause several impacts on construction work processes such as delay or poor quality of work. Several information and communication technologies (ICT) were proposed to overcome problems concerning document management practice in construction projects. However, the adoption of ICT may have some limitation on the compatibility of specific document workflow. Lack of understanding on designing document system may cause many problems during the use and implementation phase. Thus, this paper proposes the framework that integrates Soft System Methodology (SSM) concept and Integrated Definition Modeling Technique (IDEF) for analyzing document management system in construction project. Research methodology is classified as the case study. Five main construction building projects are selected as case studies. The qualitative data related to problems and processes are collected by interviewing construction project participants such as main contractors, owners, consultants, and designers. The findings from case study show the benefits of using SSM and IDEF. The use of SSM can help identify the problems in managing construction document in rich picture view whereas IDEF can illustrate the document flow in construction project in details. In addition, the idea of integrating these two concepts can be used to identify the root causes of process problems at the information level. As the results, this idea can be applied to analyze and design web-based document management system in the future.

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A Novel RGB Channel Assimilation for Hyperspectral Image Classification using 3D-Convolutional Neural Network with Bi-Long Short-Term Memory

  • M. Preethi;C. Velayutham;S. Arumugaperumal
    • International Journal of Computer Science & Network Security
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    • v.23 no.3
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    • pp.177-186
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    • 2023
  • Hyperspectral imaging technology is one of the most efficient and fast-growing technologies in recent years. Hyperspectral image (HSI) comprises contiguous spectral bands for every pixel that is used to detect the object with significant accuracy and details. HSI contains high dimensionality of spectral information which is not easy to classify every pixel. To confront the problem, we propose a novel RGB channel Assimilation for classification methods. The color features are extracted by using chromaticity computation. Additionally, this work discusses the classification of hyperspectral image based on Domain Transform Interpolated Convolution Filter (DTICF) and 3D-CNN with Bi-directional-Long Short Term Memory (Bi-LSTM). There are three steps for the proposed techniques: First, HSI data is converted to RGB images with spatial features. Before using the DTICF, the RGB images of HSI and patch of the input image from raw HSI are integrated. Afterward, the pair features of spectral and spatial are excerpted using DTICF from integrated HSI. Those obtained spatial and spectral features are finally given into the designed 3D-CNN with Bi-LSTM framework. In the second step, the excerpted color features are classified by 2D-CNN. The probabilistic classification map of 3D-CNN-Bi-LSTM, and 2D-CNN are fused. In the last step, additionally, Markov Random Field (MRF) is utilized for improving the fused probabilistic classification map efficiently. Based on the experimental results, two different hyperspectral images prove that novel RGB channel assimilation of DTICF-3D-CNN-Bi-LSTM approach is more important and provides good classification results compared to other classification approaches.

Hong Kong's Anti-Ordinance Amendment Movement and the Trend of Change in the One Country-Two System (香港反修例运动与"一国两制"演变趋势)

  • Tian, Feilong
    • Analyses & Alternatives
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    • v.3 no.2
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    • pp.59-85
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    • 2019
  • The Hong Kong's Anti-Ordinance Amendment Movement is the most serious radical social movement since the 1997 return, which has served as the promotion of the 2014 Occupy Central Movement and broken through the violence baseline. The movement came from a criminal case committed in Taiwan,which gave a good reason and motivation for the HK government to amend the Fugitive Offenders Ordinance. The HK government has responded to the protests by strictly limiting the legal scope and transfer procedure, even giving up the legislative motion. But the protests still say no and develop into the constantly violent activities. Many of the protests have committed the crimes in HK laws,part of whom have been arrested,prosecuted and under judicially judged. It is necessary for the offenders to be punished to protect the authority of rule of law in HK. Two different paths for HK have fought against each other since the 1997 return: one is the "democratic-welfare" path taken by the Pan-Democratic Camp, the other is the "Legal-development" path taken by the Pan-Establishment Camp. The second path shares some nuclear characteristics of the so-called The China Model mainly shaped from the 40-years Reforms and Openness. However, the HK people can't understand the China Model very well and show great fear and distrust on the judicial system of Mainland China. The foreign powers such as US and UK have illegally interfered the HK issues which are deemed to be the domestic affairs of China. The so-called Sino-UK Joint Declaration can't serve as the legal basis for the interference. Taiwan, as a part of China, also plays a negative role in this movement for its electoral and political interest. Up to now, the movement has gone down and the HK government has the legal capacity to solve the problems under the supports from the central government and the HK people. The HK people love its rule of law and order under the constitutional framework of One Country Two System. After the movement,One Country Two Systems will be go on, and the integrated development under the policies of the central government will be the main stream. However, the relevant problems exposed by this movement muse be checked and solved legally and strictly,especially concerning the social inequality and youth development.

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Analysis of Member Information Collection in the National Level of Lifelong Education Information System (국가 수준 평생교육 정보시스템의 회원 정보 수집 현황 분석)

  • Beom, Sangyoon;Jeong, Youngsik
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.247-252
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    • 2021
  • The quality growth of online education triggered by remote education platforms such as Coursera and edX has increased the demand for lifelong education through online platforms. In response, South Korea has also created various lifelong education support systems and sites in government agencies and local governments. Each support system and web sites created its own member information collection system. The systematic collection and utilization of learners' information requires an integrated member management system of each system. Therefore, the current status of member information collection of state-level lifelong education support systems was analyzed. Based on this, it distinguishes between member information that systems collect in common and information that they collect separately. It will help to bridge the items underlying the integrated membership framework.

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ASEAN Financial Integration: Is it possible? (아세안 금융시장 통합: 현황과 통합가능성)

  • LEE, Choong Lyol
    • The Southeast Asian review
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    • v.21 no.3
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    • pp.139-203
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    • 2011
  • This paper attempts to review of recent development of ASEAN financial integration and to evaluate it and predict its future aspect. For this purpose, we first examine the historic aspect of ASEAN financial integration such as ASEAN financial service open agreement or ASEAN capital market forum report and currently agreed integration plan. In addition, we study the development stages of ASEAM member countries in terms of its economic size or income level. Finally, we look at the financial market and institutional aspect of ASEAN member countries and the recent development of global financial market. From these analyses, we find several important facts. First, it is true that ASEAN, in general, will enjoy the effect of expanding regional investment and improving the quality of financial service through the financial integration. We think that its long term benefit is too large for ASEAN member states to avoid. Second, as a result, it is certain that ASEAN will corporate further to make its financial market to be integrated in the future. Third, however, despite these benefits and continuing efforts, we expect that it will be very difficult for ASEAN to reach a stage of financial integration as suggested in the Blueprint of ASEAN Economic Community by the year of 2015. The large difference among member states in term of economic and financial development will not allow for them to reach a single goal within a short time. Instead, we expect the following scenario for the integration process will hold. First, ASEAN will reach an agreement on the institutional framework by 2015 and afterwards, slowly the markets will begin to integrate. Second, at the earlier stage, not all but some countries will start the integration process. We expect that the financial market of ASEAN 5 will first be integrated and other 5 will join to it later.

Data mining approach for identifying factors impacting construction accident costs: from indirect expenses perspectives

  • Ayesha Munira CHOWDHURY;Eun-Ju HA;Jae-ho CHOI
    • International conference on construction engineering and project management
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    • 2024.07a
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    • pp.319-326
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    • 2024
  • Construction projects account for a significant proportion of workplace hazards globally. While construction cost reports typically emphasize direct accident costs such as treatment expenses, nursing care costs, or disability benefits, indirect factors like work interruption loss costs or consolation costs are frequently overlooked, because it is relatively difficult to estimate those factors in advance. Recognizing and accurately estimating the indirect costs factors associated with construction accidents would not only shed light on the monetary impact these incidents have on overall project costs but also would enable to estimate the total accident cost in advance. The current study seeks to identify factors influencing indirect costs, which ultimately govern the total accident cost, through a data mining approach. A survey was conducted in domestic construction companies, resulting in a dataset of 1038 accident records collected from construction sites. First, statistical analysis was performed to uncover characteristics and patterns of factors affecting construction accident costs from both direct and indirect perspectives. Later, this study proposes four distinct machine learning (ML) models, comparing their performances in predicting the total accident cost (including indirect costs) in advance. Additionally, this research sheds light on an important issue in construction data analysis, which is the scarcity of data in a particular class, by applying random oversampling and random undersampling techniques. The suggested framework can assist practitioners and management in estimating construction accident costs and identifying the relevant attributes that impact accidents at the construction site for future practices.

Analysis of the Nature of Science (NOS) in Integrated Science Textbooks of the 2015 Revised Curriculum (2015 개정 교육과정 통합과학 교과서의 과학의 본성(NOS) 분석)

  • Jeon, Young Been;Lee, Young Hee
    • Journal of Science Education
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    • v.44 no.3
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    • pp.273-288
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    • 2020
  • This study aims to investigate the presentation of the Nature of Science (NOS) in integrated science textbooks of the 2015 revised curriculum. The five integrated science textbooks published by the revised 2015 curriculum were analyzed with the conceptual framework of the four themes of the Nature of Science (NOS) (Lee, 2013) based on scientific literacy. The four themes of the NOS are 1. nature of scientific knowledge (theme I), 2. nature of scientific inquiry (theme II), 3. nature of scientific thinking (theme III), and 4. nature of interactions among science, technology, and society. The reliability of the textbooks analysis was measured between two coders by the Cohen's kappa and resulted in between 0,83 and 0,96, which means the results of analysis was consistent and reliable. The findings were as follows. First, overall theme II, nature of scientific inquiry emphasized on the integrated science textbooks of the 2015 revised curriculum by devoting the contents over 40 % in the all five publishing companies' textbooks. Second, while the theme II, nature of scientific inquiry was emphasized on the textbooks regardless of the publishing companies, other themes of the NOS were emphasized in different portions by the publishing companies. Thus, the focus among other three themes of the NOS was presented differently by the publishing companies except that in theme II, nature of scientific inquiry was most emphasized on integrated science textbooks. Third, the presentation of the NOS was identified similarly across the topics of integrated science textbooks except on topic 4. Environment and Energy. The theme IV, nature of interactions among science, technology, and society was emphasized reasonably only in the topic of Environment and Energy of the textbooks. Finally, the presentation of the NOS in the integrated science textbooks of the 2015 revised curriculum were more balanced among the four themes of the NOS with focus on the scientific inquiry compared to the previous curriculum textbooks.

A case study of elementary school mathematics-integrated classes based on AI Big Ideas for fostering AI thinking (인공지능 사고 함양을 위한 인공지능 빅 아이디어 기반 초등학교 수학 융합 수업 사례연구)

  • Chohee Kim;Hyewon Chang
    • The Mathematical Education
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    • v.63 no.2
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    • pp.255-272
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    • 2024
  • This study aims to design mathematics-integrated classes that cultivate artificial intelligence (AI) thinking and to analyze students' AI thinking within these classes. To do this, four classes were designed through the integration of the AI4K12 Initiative's AI Big Ideas with the 2015 revised elementary mathematics curriculum. Implementation of three classes took place with 5th and 6th grade elementary school students. Leveraging the computational thinking taxonomy and the AI thinking components, a comprehensive framework for analyzing of AI thinking was established. Using this framework, analysis of students' AI thinking during these classes was conducted based on classroom discourse and supplementary worksheets. The results of the analysis were peer-reviewed by two researchers. The research findings affirm the potential of mathematics-integrated classes in nurturing students' AI thinking and underscore the viability of AI education for elementary school students. The classes, based on AI Big Ideas, facilitated elementary students' understanding of AI concepts and principles, enhanced their grasp of mathematical content elements, and reinforced mathematical process aspects. Furthermore, through activities that maintain structural consistency with previous problem-solving methods while applying them to new problems, the potential for the transfer of AI thinking was evidenced.

Implemention of the System-Level Multidisciplinary Design Optimization Using the Process Integration and Design Optimization Framework (PIDO 프레임워크를 이용한 시스템 레벨의 선박 최적설계 구현)

  • Park, Jin-Won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.5
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    • pp.93-102
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    • 2020
  • The design of large complex mechanical systems, such as automobile, aircraft, and ship, is a kind of Multidisciplinary Design Optimization (MDO) because it requires both experience and expertise in many areas. With the rapid development of technology and the demand to improve human convenience, the complexity of these systems is increasing further. The design of such a complex system requires an integrated system design, i.e., MDO, which can fuse not only domain-specific knowledge but also knowledge, experience, and perspectives in various fields. In the past, the MDO relied heavily on the designer's intuition and experience, making it less efficient in terms of accuracy and time efficiency. Process integration and the design optimization framework mainly support MDO owing to the evolution of IT technology. This paper examined the procedure and methods to implement an efficient MDO with reasonable effort and time using RCE, an open-source PIDO framework. As a benchmarking example, the authors applied the proposed MDO methodology to a bulk carrier's conceptual design synthesis model. The validity of this proposed MDO methodology was determined by visual analysis of the Pareto optimal solutions.