• Journal of the Korean Home Economics Association
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• v.38 no.9
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• pp.107-118
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• 2000

This study was carried out to obtain the information concerning the behavior and underlying consciousness of housewives about the disposal of foods waste and to find out relationships among environmental variables. Data were obtained through questionnaires and interviews from 350 housewives in Ulsan area. Foods waste can be produced at every stage of cooking. It was found that the most amount of foods waste was produced at the preparation stage of cooking. The type of dishes which produces the most waste was chigas. About 49.4% of foods waste consisted of vegetables and fruits and 18.5% of that was fishes. The environmental concern related to foods waste disposal was relatively high among subjects and they were willing to accept foods waste reducing system if it is not too complicated to use and not too expensive. These results have demonstrated that menu planning before food preparation and buying cleaned and trimmed materials in the market should be highly recommended to reduce the foods waste. To improve the disposal behavior of foods waste, it is required that well programmed education for environmental conservation and the public facility for foods waste disposal.

• 한국태양에너지학회:학술대회논문집
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• 2009.11a
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• pp.342-349
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• 2009

The purpose of this study is to estimate efficiently an odor dispersion from waste treatment facility for a crematory and a neighborhood facility, then propose planning, a location of an opening or the arrangement of the trees. Hence, offer a comfortable environment for a resident. For this, first the research data about estimating odor dispersion from waste treatment facility and odor are analyzed, then research an ingredient, characteristic, a direct effect for human and a method of measurement. Second, with on-site survey, check odorimetry and the source of odor dispersion, then apply this to the boundary condition of CFD simulation. Third, analyse by the hour for the 2008 standard weather data of Cheon-an, then apply summer data that odor dispersion is active, winter data relatively slow and an annual mean velocity and wind to the simulation. Even if a crematory and neighborhood facility located on south and north from waste treatment facility are at the low rate, the south and north wind will be applied to the simulation. Fourth, with CFD simulation result, predict an odor dispersion, then propose a solution which is considered an odor dispersion, a location of an opening and the arrangement of the trees. Consequently, this study will have an effect on an environment of a resident.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.19 no.1
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• pp.75-85
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• 2021

Evaluating the quantitative damage to rocks through acoustic emission (AE) has become a research focus. Most studies mainly used one or two AE parameters to evaluate the degree of damage, but several AE parameters have been rarely used. In this study, several data-driven models were employed to reflect the combined features of AE parameters. Through uniaxial compression tests, we obtained mechanical and AE-signal data for five granite specimens. The maximum amplitude, hits, counts, rise time, absolute energy, and initiation frequency expressed as the cumulative value were selected as input parameters. The result showed that gradient boosting (GB) was the best model among the support vector regression methods. When GB was applied to the testing data, the root-mean-square error and R between the predicted and actual values were 0.96 and 0.077, respectively. A parameter analysis was performed to capture the parameter significance. The result showed that cumulative absolute energy was the main parameter for damage prediction. Thus, AE has practical applicability in predicting rock damage without conducting mechanical tests. Based on the results, this study will be useful for monitoring the near-field rock mass of nuclear waste repository.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.14 no.10
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• pp.811-816
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• 2002

Waste heat exhausted from seven types of the domestic industry was surveyed, which include food, fibre, paper & wood, chemical, ceramics, metalworking and others. The databases of waste heat for each industry were made by using ACCESS software of Microsoft, and data were analyzed to get correlation between waste heat and purchase energy. The volume of usable waste heat is estimated to be 9,169,000 TOE in the year of 2000, when the minimum available temperature is set as $100^{\circ}C$ for waste gas, $30^{\circ}C$ for hot water and $100^{\circ}C$ for steam considering the condition of waste heat exhausting facilities and surroundings. This volume of waste heat is approximately 11.9 percent of the purchase energy of the domestic industry.

• Korean journal of food and cookery science
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• v.16 no.5
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• pp.416-424
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• 2000

Food waste is inevitable in any institutional food system. Although many factors contribute to plate waste, few quantitative studies of plate waste have actually been carried out. This study was undertaken to check (a) how the service style that affects the amount of plate waste, (b) the difference of plate waste between men and women and, (c) the influence of plate waste and customers'satisfaction to served meal. The survey was conducted through March 15 and April 9, 2000 by weighing the amount of plate waste and by questionnaires. Statistical data analysis was completed using the SPSS-PC program for descriptive analysis and ANOVA test. The results were as follows; (1) The largest amount, plate waste percentage measured were 19% of‘Hot alaska pollack soup’and 18% of‘Kuansh soup’respectively. (2) Amount of leftovers can be reduced if the pre-portioned serving style is changed to self-portioned serving. (3) The main reasons for leaving leftover were‘served too often’and‘disliked food’. (4) The customers'satisfaction rate was highly correlated with the leftover amounts.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.199-206
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• 2023

This study utilizes deep learning algorithms to automatically classify construction waste into three categories: wood waste, plastic waste, and concrete waste. Two models, VGG-16 and ViT (Vision Transformer), which are convolutional neural network image classification algorithms and NLP-based models that sequence images, respectively, were compared for their performance in classifying construction waste. Image data for construction waste was collected by crawling images from search engines worldwide, and 3,000 images, with 1,000 images for each category, were obtained by excluding images that were difficult to distinguish with the naked eye or that were duplicated and would interfere with the experiment. In addition, to improve the accuracy of the models, data augmentation was performed during training with a total of 30,000 images. Despite the unstructured nature of the collected image data, the experimental results showed that VGG-16 achieved an accuracy of 91.5%, and ViT achieved an accuracy of 92.7%. This seems to suggest the possibility of practical application in actual construction waste data management work. If object detection techniques or semantic segmentation techniques are utilized based on this study, more precise classification will be possible even within a single image, resulting in more accurate waste classification

• Journal of Environmental Science International
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• v.12 no.6
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• pp.643-650
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• 2003

We analyzed the amount of environmental loads, and the amount of energy consumption through life cycle assessment from a discharge stage to the ultimate disposal to municipal solid waste in Seoul. We carried out inventory analysis of the amount of environmental loads that made the object range collection, intermediate treatment, and the final treatment, and took into consideration each stage exceptions CO$_2$ and NOx , the amount of SOx discharge, and energy consumption. We applied the data of an object model, and acquisition processed the scale of an object model suitably and applied to it to difficult data using the data of the Yokohama City incineration plant in Japan. The amount of environmental loads per Iton of municipal waste were analyzed CO$_2$ 0.4C-ton, SOx 0.4kg and NOx 0.8kg. Moreover, the amount of energy consumption which is 2.4Gcal was computed.

• Journal of Environmental Impact Assessment
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• v.22 no.1
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• pp.117-124
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• 2013

The introduction of Extended Producer Responsibility(EPR), voluntary agreements and operating were analyzed in this study. The voluntary agreement to participate in the manufacturers, recyclers and management reporting agency data and literature data to verify through research and analysis assessing the performance of the management plan for this system was analyzed. The effectiveness of Voluntary Agreement(VA) on waste analysis system of voluntary agreements with the voluntary agreement of waste reduction savings exemption amount and reductions in greenhouse gases, such as comparison and understanding of business organizations participate waste recycling effects were verified. The Voluntary Agreements as a means of future regulatory system for the ongoing operation of the waste recycling operations and systems effectiveness analysis of the problems appearing in operators and manufacturers suggest ways to improve it.

• Economic and Environmental Geology
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• v.56 no.6
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• pp.887-897
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• 2023

Leading waste disposal countries, such as Sweden, Switzerland, and the United Kingdom, conduct safety assessments across all stages of High-Level Radioactive Waste Deep Geological Disposal Facilities-from planning and site selection to construction, operation, closure, and post-closure management. As safety assessments are repeatedly performed at each stage, generating vast amounts of diverse data over extended periods, it is essential to construct a database for safety assessment and establish a data management system. In this study, the safety assessment data management systems of leading countries, were analyzed, categorizing them into 1) input and reference data for safety assessments, 2) guidelines for data management, 3) organizational structures for data management, and 4) computer systems for data management. While each country exhibited differences in specific aspects, commonalities included the classification of safety assessment input data based on disposal system components, the establishment of organizations to supply, use, and manage this data, and the implementation of quality management systems guided by instructions and manuals. These cases highlight the importance of data management systems and document management systems for securing the safety and enhancing the reliability of High-Level Radioactive Waste Disposal Facilities. To achieve this, the classification of input data that can be flexibly and effectively utilized, ensuring the consistency and traceability of input data, and establishing a quality management system for input data and document management are necessary.

• Proceedings of the Korea Concrete Institute Conference
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• 1994.04a
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• pp.197-202
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• 1994

This study is designed for analyzing the physical properties of grading, shape, specific gravity and etcetera of mine-waste as the aggregate of concrete when mine waste is crushed by jaw crusher, and is aimed presenting the using the possibility, content and reference data for the quality control of practical use on the concrete using the mine-waste aggregate.