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Use of Fuzzy Set Theoretical Approach in Radioactive Waste Management (방사성 폐기물관리에 모호집합론적 접근법의 적용)

  • 문주현;김성호
    • Proceedings of the Korea Society for Energy Engineering kosee Conference
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    • 1998.10a
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    • pp.64-68
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    • 1998
  • This paper discusses the potential application of fuzzy set theory to the decision-making in the area of radioactive waste management. the approach proposed in this study is based on the concepts of fuzzy set theory and the hierarchical structure analysis. The linguistic variables and fuzzy numbers are used to aggregate the decision maker's subjective assessments of the decision criteria and of the decision alternatives with respect to these criteria. For each alternative, the fuzzy appropriateness index is evaluated to obtain the final score. Using total integral value method, one of methods for ranking fuzzy numbers, the fuzzy appropriateness indices are ranked. As a case problem, selection of the most suitable option for spent fuel storage is illustrated.

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Die Making and Product Prototype Fabrication in Investment Casting by SLA Rapid Prototyping Technique (급속조형기술을 이용한 쾌속정밀주조 금형 및 시제품 제작)

  • Park, Moon-Sun;Kim, Dae-Hwan;Kwak, Jeong-Gi;Hwang, Sang-Moon;Kang, Beom-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.11
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    • pp.74-80
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    • 1999
  • In this study, a stereolithography apparatus (SLA) prototype is used as a master model to be transformed into the silicone pattern by vacuum tool forming. The tool for the first prototype is fabricated by using this silicone pattern. Following this procedure, a temporary tool with metal powder and epoxy for wax injection is prepared for the die set of quick change type which consists of upper and lower base die나 and an insert die. The die set of quick change type appears to be very effective in casting operation by changing tools rapidly. The original wax pattern is formed through the die set, and is made of lost-was. Finally the lost-wax pattern is applied to investment casting. The final casting product is checked regarding its dimensional accuracy.

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Re-establishment of Park Nature Conservation Area in Bukhansan (Mt.) National Park Using Marxan with Zones (Marxan with Zones 적용을 통한 북한산국립공원 공원자연보존지구 재설정 방안 연구)

  • Yeum, Jung-Hun;Han, Bong-Ho
    • Journal of Environmental Science International
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    • v.26 no.2
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    • pp.133-146
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    • 2017
  • This study aimed to develop strategies to re-establish the Park Nature Conservation Area in Bukhansan National Park, reflecting landscape ecological value by using the zonation program Marxan with Zones. Planning unit was set by watershed, and the basic data were mapped, considering topographical and ecological values. Mapped indicators were analyzed with the application framework of Marxan with Zones by indexing some indicators. The zones divided into Park Nature Conservation Area (Zone A), Park Nature Environment Area I(Zone B) which is reflected on the concept of Potential Park Nature Conservation Area and Park Nature Environment Area II(Zone C). The best solution for each of the scenarios was fixed through the sensitiveness analysis. From these, the final solution was selected considering five criteria including area ratio of conservation area and grouping. Lastly, the final solution was verified in the overlapped analysis with recent zonation. According to the results, the number of watersheds was 77, with an average area of $1,007,481m^2$. In terms of basic mapping and indexation, the slope index and number of landscape resources for topographical property were average 0.22 and 38 places, respectively. Biotope index was average 0.69 and legally protected species was 14 species, reflecting ecological values. As the social and economic indicators, trail index was average 0.04, and the number of tour and management facilities was 43 places. Through the framework of Marxan with Zones, the best solution for scenario 1 which was set by the highest conservation criteria was selected as the final solution, and the area ratio of Park Nature Conservation Area and grouping was excellent. As the result of overlapped analysis, suggested zonation of the Park Nature Conservation was better than the recent zonation in the area raito (28.3%), biotope grade I(15.4%) and the distribution points (10 places) of legally protected species with verification of proper distribution of conservation features according to the zone.

Application of MARSSIM for Final Status Survey of the Decommissioning Project (해체사업의 최종현황조사를 위한 MARSSIM 적용)

  • Hong, Sang-Bum;Lee, Ki-Won;Park, Jin-Ho;Chung, Un-Soo
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.9 no.2
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    • pp.107-111
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    • 2011
  • The release of a site and building from regulatory control is the final stage of the decommissioning process. The MARSSIM (Multi-Agency Radiation Survey and Site Investigation Manual) provides overall framework for conducting data collection for a final status survey to demonstrate compliance with site closure requirements. The KAERI carried out establishing a final status survey by using the guidance provided in the MARSSIM for of a site and building of the Korea Research Reactor. The release criteria for a site and building were set up based on these results of the site specific release levels which were calculated by using RESRAD and RESRAD-Build codes. The survey design for a site and building was classified by using the survey dataset and potential contamination. The number of samples in each survey unit was calculated by through a statistical test using the collected data from a scoping and characterization survey. The results of the final status survey were satisfied the release criteria based on an evaluation of the measured data.

Calculation and Analysis of Actual Recycling Rate and Final Disposal Rate of Industrial Waste by Material Flow Analysis (물질흐름분석을 통한 사업장폐기물의 실제적인 재활용률과 최종처분율의 산정 및 분석)

  • Oh, Gil-Jong;Cho, Yoon-A;Kim, Ji-Yeon;Kim, Ki-Heon
    • Journal of Korea Society of Waste Management
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    • v.35 no.8
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    • pp.785-798
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    • 2018
  • Since the Framework Act on Resource Circulation was enacted in 2018, the government should establish a National Resource Circulation Master Plan every 10 years, which defines mid- to long-term policy goals and directions on the efficient use of resources, prevention of waste generation and recycling of waste. In addition, we must set mid- to long-term and stepwise targets for the final disposal rate, recycling rate (based on sorted recyclable materials and recycled products), and energy recovery rate of wastes, and relevant measures should be taken to achieve these targets. However, the current industrial waste (IW) statistics have limitations in setting these targets because the final disposal rate and recycling rate are calculated as the ratio of the recycling facility input to the IW generation. In this study, the material flow from the collection stage to the final disposal of industrial waste was analyzed based on the generation of 2016, and the actual recycling amount, actual incineration amount, final disposal amount and their rates were calculated. The effect on the recycling, incineration and final disposal rates was examined by changing the treatment method of nonhazardous wastes from the factory and construction and demolition wastes, which were put in landfills in 2016. In addition, the variation of the waste treatment charge was investigated according to the change of treatment methods. The results of this study are expected to be effectively used to establish the National Resource Circulation Master Plan and industrial waste management policy in the future in South Korea.

Some Characteristics of Hanmal and Hangul from the viewpoint of Processing Hangul Information on Computers

  • Kim, Kyong-Sok
    • Proceedings of the KSPS conference
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    • 1996.10a
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    • pp.456-463
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    • 1996
  • In this paper, we discussed three cases to see the effects of the characteristics of Hangul writing system. In applications such as computer Hangul shorthands for ordinary people and pushbuttons with Hangul characters engraved, we found that there is much advantage in using Hangul. In case of Hangul Transliteration, we discussed some problems which are related with the characteristics of Hangul writing system. Shorthands use 3-set keyboards in England, America, and Korea. We saw how ordinary people can do computer Hangul shorthands, whereas only experts can do computer shorthands in other countries. Specifically, the facts that 1) Hangul characters are grouped into syllables (syllabic blocks) and that 2) there is already a 3-set Hangul keyboard for ordinary people allow ordinary people to do computer Hangul shorthands without taking special training as with English shorthands. This study was done by the author under the codename of 'Sejong 89'. In contrast like QWERTY or DVORAK, a 2-set Hangul keyboard cannot be used for shorthands. In case of English pushbuttons, one digit is associated with only one character. However, by engraving only syllable-initial characters on the phone pushbuttons, we can associate one Hangul "syllable" with one digit. Therefore, for a given number of digits, we can associate longer words or more meaningful words in Hangul than in English. We discussed the problems of the Hangul Transliteration system proposed by South Korea and suggested their solutions, if available. 1) We are incorrectly using the framework of transcription for transliteration. To solve the problem, the author suggests that a) we include all complex characters in the transliteration table, and that b) we specify syllable-initial and -final characters separately in the table. 2) The proposed system cannot represent independent characters and incomplete syllables. 3) The proposed system cannot distinguish between syllable-initial and -final characters.

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Bodice Pattern Development of the Slim-fit Dress Shirt for Middle-aged Males Using 3D Body Scanning Data (3D Body Scanning Data를 활용한 중년 남성용 슬림 핏(Slim-fit) 드레스 셔츠 바디스 패턴개발연구)

  • Suh, Chuyeon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.40 no.1
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    • pp.171-187
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    • 2016
  • The study performed a comparison analysis of market brand patterns for slim-fit dress shirts and analyzed the body surface development figure of men in their 40s using 3D body scan data and developed slim-fit dress shirt patterns suitable for middle-aged men. The sizes of slim-fit dress shirt patterns showed a slight difference depending on brand. The overlap map of slim-fit dress shirt patterns for brands demonstrates how difference of one-dimensional sizes reflect on two-dimensional patterns. This map provides useful information for pattern design and allows and easy recognition of pattern size differences. A try-on system evaluation through 3D-Simulation allows a grasp of the fitness of neckline and size tolerance of under the arms in front, the silhouette of side lines, and overall fitness in front that also allows analysis of the front/back balance of a shirt in side, the size tolerance proportion in front/back, and the fitness of the arm-hole line. Thus, we obtained try-on results that were equivalent to wearing actual clothing. According to the drafting size suggested in the developed final pattern, the total width was 'C/2+5.5cm', and the front was set at 1cm bigger in the size difference of the front and back. The width of the front neck and the back neck was set identically at 'C/12', while the width of the front neck was set to 'C/12+1.5cm'. For the armhole depth, we added 'C/4+2cm', and '0.5cm and 1.5cm' for the width of the front and back to anthropometry. The results of the try-on evaluation through 3D-Simulation indicated that the fitness of the final slim-fit dress shirt pattern was superior to available slim-fit dress shirt patterns on the market and evaluated as superior to the types for middle-aged men.

Selection of Manageable Diseases for Quality Assessment in Korean Medicine by Delphi Method (한방분야 적정성 평가 대상 질환 선정을 위한 전문가 Delphi 조사)

  • Park, Chang-Hyun;Lim, Hyung-Ho
    • Journal of Korean Medicine Rehabilitation
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    • v.26 no.3
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    • pp.129-141
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    • 2016
  • Objectives As awareness of the public about Korean medicine health care and the social demand about improvement for quality of health care service is constantly rising, the quality evaluation of Korean medicine health care service is needed to improve the quality. Through trial of Delphi method, we tried to set the priority in short, medium, long term among the disease which is the subject of quality assessment. Methods Carrying out the delphi survey to 50 experts of korean medicine who were recommended by the 41 member societies of Korean medicine and related organizations, we selected final candidates for quality assessment. It is composed with total 2 rounds, and we investigated the priority in three aspects; the importance of the matter, possibility quality assessment, potential about if there's any chance of improvement. Results By delphi method, we set the priority of quality assessment. Base on the result of the second round, we classified importance of the questions into above average, average, below average, and categorized items as short, medium, long term according on the final priority. We classified of musculoskeletal diseases and diseases of connective tissues and musculoskeletal injury as short term and cerebrovascular disease and disease of nerve system and malignant neoplasm as medium term, disease of digestive organs and diseases, symptoms and abnormal findings in clinical field or inspections which are not categorized as long term. Conclusions We set the subjects of quality assessment by delphi survey by experts, and classified into short, medium, long term. Further research is necessary for execution the Quality Assessment to each of the candidate. Also, we can send feedback to medical institution base on the result of Quality Assessment. then it would be able to induce the improvement in quality of medical institution by itself.

Face Detection Based on Incremental Learning from Very Large Size Training Data (대용량 훈련 데이타의 점진적 학습에 기반한 얼굴 검출 방법)

  • 박지영;이준호
    • Journal of KIISE:Software and Applications
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    • v.31 no.7
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    • pp.949-958
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    • 2004
  • race detection using a boosting based algorithm requires a very large size of face and nonface data. In addition, the fact that there always occurs a need for adding additional training data for better detection rates demands an efficient incremental teaming algorithm. In the design of incremental teaming based classifiers, the final classifier should represent the characteristics of the entire training dataset. Conventional methods have a critical problem in combining intermediate classifiers that weight updates depend solely on the performance of individual dataset. In this paper, for the purpose of application to face detection, we present a new method to combine an intermediate classifier with previously acquired ones in an optimal manner. Our algorithm creates a validation set by incrementally adding sampled instances from each dataset to represent the entire training data. The weight of each classifier is determined based on its performance on the validation set. This approach guarantees that the resulting final classifier is teamed by the entire training dataset. Experimental results show that the classifier trained by the proposed algorithm performs better than by AdaBoost which operates in batch mode, as well as by ${Learn}^{++}$.

The Credit Information Feature Selection Method in Default Rate Prediction Model for Individual Businesses (개인사업자 부도율 예측 모델에서 신용정보 특성 선택 방법)

  • Hong, Dongsuk;Baek, Hanjong;Shin, Hyunjoon
    • Journal of the Korea Society for Simulation
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    • v.30 no.1
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    • pp.75-85
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    • 2021
  • In this paper, we present a deep neural network-based prediction model that processes and analyzes the corporate credit and personal credit information of individual business owners as a new method to predict the default rate of individual business more accurately. In modeling research in various fields, feature selection techniques have been actively studied as a method for improving performance, especially in predictive models including many features. In this paper, after statistical verification of macroeconomic indicators (macro variables) and credit information (micro variables), which are input variables used in the default rate prediction model, additionally, through the credit information feature selection method, the final feature set that improves prediction performance was identified. The proposed credit information feature selection method as an iterative & hybrid method that combines the filter-based and wrapper-based method builds submodels, constructs subsets by extracting important variables of the maximum performance submodels, and determines the final feature set through prediction performance analysis of the subset and the subset combined set.