• Resources Recycling
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• v.17 no.2
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• pp.16-29
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• 2008

According to the statistical data of the Ministry of Environment, 47million tons of construction waste were generated, and 96.7% of them was recycled in 2005. However, the recycled products seem to be remained under low quality. Because mixed demolition and construction waste, so called DC Waste, including concrete, brick, plaster, lumber, plastics building materials, paper and some dirt and stone, is very variable and difficult to estimate its exact composition, it is regarded as having little or no value to the construction industry. 'The Research group on recycling of construction waste' was started by the Housing & Urban Research Institute(KNHC), which is sponsored as a large scale national project by the Ministry of Construction and Transportation. This research group intends to establish recycling system through planing, processing, developing practical technology, and eventually contribute to save natural resource and to vitalize the industry. In this paper an overview of DC waste management and recycling technology is given in some detail. Particularly, "recycling law of construction waste" and recent research trends on recycling of construction waste are discussed.

• Atmosphere
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• v.26 no.4
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• pp.687-696
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• 2016

The western North Pacific subtropical high (WNPSH) in boreal summer has interannual and interdecadal variability, which affects East Asian summer monsoon variability. In particular, it is well known that the intensity of WNPSH is reversely related to that of summer monsoon in North East Asia in association with Pacific Japan (PJ)-like pattern. Many coupled climate models weakly simulate this large-scale teleconnection pattern and also exhibit the diverse variability of WNPSH. This study discusses the inter-model differences of WNPSH simulated by different climate models, which participate in the Coupled Model Intercomparison Project phase 5 (CMIP5). In comparing with reanalysis observation, the 29 CMIP5 models could be assorted into two difference groups in terms of interannual variability of WNPSH. This study also discusses the dynamical or thermodynamics factors for the differences of two groups of the CMIP5 climate models. As results, the regressed precipitation in well-simulating group onto the Nino3.4 index ($5^{\circ}N-5^{\circ}S$, $170^{\circ}W-120^{\circ}W$) is stronger than that in poorly-simulating group. We suggest that this difference of two groups of the CMIP5 climate models would have an effect on simulating the interannual variability of WNPSH.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.7
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• pp.2599-2613
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• 2015

Multi-index hashing (MIH) is the state-of-the-art method for indexing binary codes, as it di-vides long codes into substrings and builds multiple hash tables. However, MIH is based on the dataset codes uniform distribution assumption, and will lose efficiency in dealing with non-uniformly distributed codes. Besides, there are lots of results sharing the same Hamming distance to a query, which makes the distance measure ambiguous. In this paper, we propose a data-oriented multi-index hashing method (DOMIH). We first compute the covariance ma-trix of bits and learn adaptive projection vector for each binary substring. Instead of using substrings as direct indices into hash tables, we project them with corresponding projection vectors to generate new indices. With adaptive projection, the indices in each hash table are near uniformly distributed. Then with covariance matrix, we propose a ranking method for the binary codes. By assigning different bit-level weights to different bits, the returned bina-ry codes are ranked at a finer-grained binary code level. Experiments conducted on reference large scale datasets show that compared to MIH the time performance of DOMIH can be improved by 36.9%-87.4%, and the search accuracy can be improved by 22.2%. To pinpoint the potential of DOMIH, we further use near-duplicate image retrieval as examples to show the applications and the good performance of our method.

• Journal of Korean Library and Information Science Society
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• v.40 no.1
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• pp.451-469
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• 2009

This paper analyzed four large scale studies on the impact of school libraries on students' learning. It identifies how students benefit from their school libraries and how the libraries contribute to the educational goals of the schools. The four studies were the 'National Power' project study, the Scotland study, the Ohio study, and the Delaware study. These studies developed frameworks for evaluating the impact of school libraries on learning, which give insights on how educational objectives and experiences are related with each other and what indicators are available to measure their impact on learning. Basing on Bloom's Taxonomy of educational objectives and Kuhlthau's model of information search process, the educational objectives of the frameworks included cognitive, affective, and psychomotor/physical domain, plus interpersonal domain. The four studies used such research methods as case studies, observations, interviews, focus group discussions, log data analyses in order to identify various learning experiences and impacts.

• The KIPS Transactions:PartD
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• v.12D no.7 s.103
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• pp.1039-1048
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• 2005

A software configuration management(SCM) is essential for processing large scale project. The scope of SCM involves each developer's work space management, software building management, and development process control as wet] as version control. In this paper we focus on what parts should be controlled systematically for the optimized software build that is an important part of the SCM. We also analyze that to increase the efficiency of software build, what kind of configuration management information should be reported. Based on the analysis, we have actually designed and implemented a new reporting system and evaluated it. The evaluation includes comparative evaluation in efficiency based on the analysis about the related functions provided by existing tools and some additional qualitative evaluation through the questionnaires from stakeholders.

• Water for future
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• v.25 no.1
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• pp.83-92
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• 1992

Selection of the best operation rule among a set of alternatives for a multipurpose reservoir system operation requires to evaluate many minor criteria I n addition to the major objectives assessed to the system, These problems are sufficiently complex and difficult that they are beyond heuristic decision rules and experiences in case several noncommensurable multiple criteria are included in the evaluation. With the assistance of multicriterion decision analysis techniques, it is possible to select the best one among various alternatives by systematically comparing and ranking the alternatives with respect to the criteria of choice. Evaluation criteria for multipurpose reservoir system operating rules were identified and defined, and the multicriterion decision analysis techniques were applied to evaluate the fore developed operating rules of the existing Chungju multipurpose project according to the identified nine multiple criteria. The application result shows that the methodology is very efficient to select the best operation alternative among a finite number of operating rules with many evaluation criteria for a large scale reservoir system operation.

• The Transactions of the Korea Information Processing Society
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• v.4 no.11
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• pp.2745-2755
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• 1997

Many large-scale enterprises have developed software systems to build management information system for their business. However, it is hard to maintain share ability of data, compatibility of operation methedology, and interoperability among subsystems when the development project progresses since each distributed team prepares a development plan for its subsystem and must have poor communication problem among those teams. We must apply software configuration management to the whole life cycle of the software system in order to solve those Problems. We need a model and a repository in order to execute configuration management on configuration products like document, data, and source code which are generated through the life cycle of software development. In this paper, we suggest a model for configuration change control where cross- referencing among life cycle Phases and data-sharing are highlighted, and define ER model to use IRDS(Information Resource Dictionary system) and IRD schemas.

• Journal of the Korea Society of Computer and Information
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• v.26 no.5
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• pp.119-126
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• 2021

This study attempted to systematically and comprehensively analyze individual studies in which exercise program on total knee replacement patients. The electronic database for literature search used the Korean educational Academic Information (RISS), Korean Academic Information (KISS) and Nuri Media (DBPIA). We investigated a prior study of exercise program applied to total knee replacement patients from 2015 to February 2021. For meta-analysis, effect size of each individual study was extracted using R project for Statistical computing version 4.0.3. Rob 2.0 tool, developed by the Cochrane group, was used to evaluate the quality of each individual study. The overall effect size exercise program with pain and balance was 0.99 (95% CI=0.53-1.44), which was significantly different than large effect size (p<0.05). The sub-group for pain was analyzed, for effect size of 0.62 and the effect size of balance scale(timed up and go test) was 1.00. Through these results, it was found that exercise program is an effective exercise for total knee replacement patients, and further research is needs.

• Journal of the Korean Geotechnical Society
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• v.39 no.4
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• pp.5-17
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• 2023

The advancement in large-scale underground excavation in urban areas necessitates monitoring and predicting technologies that can pre-emptively mitigate risk factors at construction sites. Traditionally, two methods predict the deformation of retaining walls induced by excavation: empirical and numerical analysis. Recent progress in artificial intelligence technology has led to the development of a predictive model using machine learning techniques. This study developed a model for predicting the deformation of a retaining wall under construction using a boosting-based algorithm and an ensemble model with outstanding predictive power and efficiency. A database was established using the data from the design-construction-maintenance process of the underground retaining wall project in a manifold manner. Based on these data, a learning model was created, and the performance was evaluated. The boosting and ensemble models demonstrated that wall deformation could be accurately predicted. In addition, it was confirmed that prediction results with the characteristics of the actual construction process can be presented using data collected from ground measurements. The predictive model developed in this study is expected to be used to evaluate and monitor the stability of retaining walls under construction.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.8-13
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• 2017

Nuclear power plant (NPP) constructions are large scale projects that are executed for several years, and schedule control utilizing various schedules is a critically important factor. Recently Korea independently developed the Advanced Power Reactor (APR) 1400 and is building nuclear facilities applying this new reactor type. The construction of Shin-Kori NPP (SKN) Unit 3, which adopted the APR1400, was completed and commercial operation has begun, while, SKN 4, Shin-Hanul NPP (SHN) Units 1&2, and SKN 5&6 are currently under construction. Prior to the development of the APR1400, Korea built 24 reactors and accumulated the schedule data of various reactor types which provided the foundation for schedule reduction to be possible. However, as there is no schedule development and review system established based on the standard schedule data (standard activities, durations, etc.) by reactor type, the process for developing the schedule for new builds is low in efficiency consuming much time and manpower. Also all construction data has been accumulated based on schedule activities. But because the connectivity of activities between projects is low, it is difficult to utilize such accumulated data (causes for schedule delay, causes for design changes, etc.) in new build projects. Due to such reasons, issues continue to arise in the process of developing standard schedule activities and a standard schedule for nuclear power plant construction. In order to develop a standard schedule for NPP construction, i) the development of an NPP standard schedule activity list, ii) development of the connection logic of NPP standard schedule activities, iii) development of NPP standard schedule activity resources and duration, and iv) integration of schedule data need to be performed. In this paper, an analysis was made on the coherence of schedule activity descriptions of existing NPPs by applying the probabilistic methodology on activities with low connectivity due to the utilization of the numbering system of four APR1400 reactors (SHN 1&2 and SKN 3&4).This study also describes the method for developing a standard schedule activity list and connectivity measures by extracting same and/or similar schedule activities.