• Title/Summary/Keyword: dCollection

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Biodegradation Characteristics of food waste on various collection systems (수거 형태에 따른 음식물류 폐기물의 혐기성 분해 특성)

  • Choi, Jae-Min;Kim, Jung-Kwang;Lee, Chae-Young
    • Journal of the Korea Organic Resources Recycling Association
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    • v.23 no.1
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    • pp.23-28
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    • 2015
  • This study was conducted to evaluate the biodegradation characteristics of food waste on various collection systems using anaerobic batch test. The ultimate methane production from food waste in standard plastic garbage bags (sample A) was $285.6mL\;CH_4/g$ volatile solids (VS) which is the lowest, and reaction constant was $0.215d^{-1}$. The ultimate methane production from food waste in waste vessel based on RFID (sample D) was $493.4mL\;CH_4/g$ VS which is the highest, and reaction constant was $0.162d^{-1}$. The determinants of rate limiting step on all samples showed positive numbers, and the methane production step was found a rate limiting step.

Analysis of cellular fatty acid methyl esters (FAMEs) for the identification of leuconostoc strains isolated from kimchi

  • Lee, Jung-Sook;Chun, Chang-Ouk;Kim, Hong-Joong;Joo, Yun-Jung;Lee, Hun-Joo;Park, Chan-Sum;Park, Yong-Ha;Mheen, Tae-Ick
    • Journal of Microbiology
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    • v.34 no.3
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    • pp.225-228
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    • 1996
  • The cellular fatty acid methyl esters (FAMEs) analysis data obtained for clusters defined at a Euclidian distance of 17.5, in the classification of lactic acid bacteria isolated from kimchi, described by Lee et al. (4), was used for the identification of 79 Leuconostoc isolates. The test strains were isolated using a selective isolation medium specific for the genus Leuconostoc. These strains were then characterized according to their fatty acid profiles. The results show that all seventy nine test strains were identified to the known Leuconostoc clusters B, C, and D. Cluster B had the highest relative amount of the saturated fatty acid 16 : 0. The saturated fatty acid 16 : 0 and summed feature 9 were found as a major components in cluster C, which had a higher level of summed feature 9 than cluster B. Cluster D is characterized by the highest relative amount of the unsaturated fatty acid 18 : 1 w9c. It is suggested that FAMEs analysis can be successfully applied in the identification of lactic acid bacteria isolated from kimchi.

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A Study on Performance Improvement of Light and Low-Noisy Standing Grinder with Vacuum Dust Collection Using a Cyclone Separator (사이클론을 활용한 경량.저소음 진공집진 스탠딩 그라인더의 성능개선에 관한 연구)

  • Lho, Tae-Jung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.11
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    • pp.4732-4737
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    • 2011
  • A standing grinder with a vacuum dust collection, which works grinding a surface and collecting dust occurred simultaneously, is needed to clean the surface before painting, or to remove a weld bead burr in the industrial field. In recent it trends to be compact and potable with high grinding and dust collection power, and low noise. As increasing these grinding and dust collection power, the noise and weight of standing grinder occurs an important problem. To solve these problem, an efficient cyclone separator was designed and developed by Ansys-CFX analysis and experiments. A weight of the developed grinder part was 5.9kg, which can be easily handled on standing by workers. and a noise level of the developed prototype was measured 69.9 dB(A).

An Approach for Estimating Traffic-Zonal Origin-Destination Matrices(O-D) from Toll Collection System's Ones (고속도로 영업소간 기.종점통행량으로부터 교통죤간 기.종점통행량 추정기법 연구)

  • 신언교;황부연;신승원
    • Journal of Korean Society of Transportation
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    • v.17 no.1
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    • pp.7-17
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    • 1999
  • The expressway network includes a total of about 1,899 km in our country The only 1,016 km of that is being managed by the closed Toll Collection System(TCS) which is composed of 74 tollgates. We obtain inter-tollgate O-D matrices from that system everyday. But, they are not traffic-zonal O-D matrices. So they have not been used for the expressway traffic analysis and the traffic demand estimation despite of their accuracy. If we could estimate the traffic-zonal O-D matrices from TCS O-D ones, we could perform expressway traffic analysis more efficiently. Moreover we could obtain more precise expressway O-D matrices and traffic-zonal O/D ones by this approach than by the conventional ones. In this paper. we proposed the model estimating traffic-zonal O/D matrices from TCS O-D ones. The assigned volumes with the estimated traffic-zonal O-D matrices produced the only 17.9% error all over the TCS expressway section when compared to the real traffic volumes. So, the proposed model enables for us to estimate more accurate O/D matrics than any other existing methods.

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A Study on a Revised Conspectus Model for the Assessment of Electronic Resources (전자자원 선정을 위한 컨스펙터스 수정 모형 연구)

  • Chang, D.H.
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.20 no.2
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    • pp.31-44
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    • 2009
  • The conspectus, based on a set number of subject descriptors derived essentially from LC subject classifications, provides a consistent framework within which libraries could report subject intensity. While library collection development has been benefitted by using this conspectus, its effectiveness in this digital era is under controversy. The purpose of this study is to survey the concepts and the various types of conspectus in library collection development and to test the applicability of a revised conspectus model to electronic resource management in libraries. For this, the focus was especially put on investigating the characteristics of electronic resources as considered the collection depth usually identified in collection development policies. Previous research has been also surveyed to consolidate their outcomes in order to design a matrix model of conspectus, which put the characteristics, persistence, and collection level in consideration in oder for the design of the conspectus model.

Design of 3-D resonator for improvement of interference in ETCS (ETCS 신호 간섭 개선을 위한 3-D 공진기 설계)

  • Kim Ho-Yong;Lee Hong-Min
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.9 s.351
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    • pp.99-104
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    • 2006
  • In this paper, the conventional 2 dimensional metamaterial structure has degeneration of shielding characteristic in cross polarization effect. The proposed 3-D resonator is designed for reduction of cross polarization effect. The proposed 3-D resonator using LTCC consists of 2-D parallel resonators on X-axis, Y-axis and Z-axis. The 2-D parallel resonator consists of two plate and one via. When the co-polarization electric filed is excited, the resonance frequency of 3-D resonator is 5.024GHz. The stop bandwidth is 19MHz. When the cross-polarization electric field is excited, the resonance frequency of 3-D resonator is 4.825GHz. The stop bandwidth is 19MHz. The proposed 3-D resonator achieve reduction of cross-polarization effect. The concrete consists of proposed 3-D resonator and absorbtion materials. The concrete will be applied for reduction or interference signal of ETCS(Electric Toll collection system).

Technical Analysis of an MRV System in Relation to the Implementation of a Data Collection System by the International Maritime Organization (국제해사기구 데이터수집시스템 도입에 따른 MRV 지원시스템의 기술적 분석)

  • Kang, Nam-seon;Lee, Jung-yup;Hong, Yeon-jeong;Byeon, Sang-su;Kim, Jin-yhyung
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.23 no.1
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    • pp.122-129
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    • 2017
  • This study presents the results from a technical analysis of a portal system that is compatible with MRV regulations and utilized to examine energy efficiency in international shipping, in relation to the implementation of a mandatory data collection system by the International Maritime Organization. The details of the SEEMP guidelines, including the data collection system and methods for collecting data on fuel use, were reviewed. Strategies for domestic shipping companies toward MRV have been recommended by identifying differences with the EU MRV, and the technical adequacy of the MRV system was assessed. The MRV system enhances cost and work efficiency by managing emissions data from the early stage to the final stage. It is capable of collecting and reporting emissions data while adhering to the reporting procedures of shipping companies. By granting different access privileges to users, the system supports shipping companies in their data collection and reporting, and also supports verifiers in their data verification activities. Moreover, it makes possible the submission of reports in electronic from, thereby enabling shipping companies to adopt an integrated response to international MRV regulations.

Collection characteristics of wet-type rotating porous disk system for air pollutants removal of marine diesel engines (박용디젤기관의 대기오염 저감을 위한 습식 회전형 다공성 디스크 시스템의 집진특성)

  • Yoa, Seok-Jun;Jang, Chang-Ik
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.50 no.3
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    • pp.318-325
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    • 2014
  • The main object of this study is to investigate the collection characteristics of wet-type rotating porous disk system experimentally. The experiment is carried out to analyze the pressure drop and collection efficiency for the present system with the experimental parameters such as system inlet velocity, stage number, tube diameter, inlet concentration, etc. In results, for the present system, at 5 stage and ${\upsilon}_{in}=1.8m/s$, the pressure drop becomes significantly lower as $64mmH_2O$ in comparison with that of the conventional wet type scrubber (Venturi scrubber, over $250mmH_2O$). The collection efficiencies increase with higher inlet velocity showing 92, 95.7, 98.4%, while $SO_2$ removal efficiencies decrease with increment of inlet velocity as 80, 65, 50% at ${\upsilon}_{in}=1.08$, 1.44, 1.8 m/s and tube diameter $D_t=10mm$, respectively. The present system is to be considered as an effective compact system for a simultaneous removal of particle/gas phase pollutants from marine diesel engines.

A Study on the Performance of Deep learning-based Automatic Classification of Forest Plants: A Comparison of Data Collection Methods (데이터 수집방법에 따른 딥러닝 기반 산림수종 자동분류 정확도 변화에 관한 연구)

  • Kim, Bomi;Woo, Heesung;Park, Joowon
    • Journal of Korean Society of Forest Science
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    • v.109 no.1
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    • pp.23-30
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    • 2020
  • The use of increased computing power, machine learning, and deep learning techniques have dramatically increased in various sectors. In particular, image detection algorithms are broadly used in forestry and remote sensing areas to identify forest types and tree species. However, in South Korea, machine learning has rarely, if ever, been applied in forestry image detection, especially to classify tree species. This study integrates the application of machine learning and forest image detection; specifically, we compared the ability of two machine learning data collection methods, namely image data captured by forest experts (D1) and web-crawling (D2), to automate the classification of five trees species. In addition, two methods of characterization to train/test the system were investigated. The results indicated a significant difference in classification accuracy between D1 and D2: the classification accuracy of D1 was higher than that of D2. In order to increase the classification accuracy of D2, additional data filtering techniques were required to reduce the noise of uncensored image data.