• 자원리싸이클링
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• 제10권6호
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• pp.29-34
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• 2001

석탄회 분말을 다중자연낙하법에 의한 공기분급에 의하여 미립 및 조립의 분말로 정제 및 분급한 후 각각의 분말을 사용하여 뮬라이트 및 제올라이트를 합성하였다 평균 입경이 $6.5mu$m인 미립 석탄회에$ A12$ $O_3$를 첨가한 후 145$0^{\circ}C$ 이상의 온도에서 소성하여 뮬라이트 상의 소결체를 얻었다. 평균 입경 $56.3\mu$m인 조립 석탄회를 사용하여 3.5 M NaOH수용액과 $120^{\circ}C$에서 수열 반응시켜 phillipsite형 제올라이트를 합성하였다. 이와 같은 방법으로 모든 입도의 석탄회 분말을 무기재료의 합성에 이용할 수 있었다.

• 한국항공운항학회지
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• 제23권2호
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• pp.84-88
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• 2015

In this study, we surveyed the CAO Dangerous Goods, the Cargo Compartment Classification, IATA DGR(Dangerous Goods Regulations), ICAO Doc. 9284 and the regulation for the Air Transport of Dangerous Goods by Ministry of land Infrastructure and Transport of Korea. We found that the differences between these regulations. Applied according to the type of dangerous goods cargo compartment Class is determined. These regulations have caused confusion was due to the difference, because of the need for revision and amendment regulations were analyzed.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2018년도 공동국제학술발표회
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• pp.8-8
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• 2018

• 한국재료학회지
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• 제17권11호
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• pp.606-611
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• 2007

This study was conducted to beneficiation of magnesite by dry grinding and air classification. The raw ore was ground in a ball mill and pin mill controlled with grinding time and linear velocity of grinding media and fractionated in an air classifier. Pin mill is more efficient than the ball mill for liberation. As a result, the MgO grade of concentrate was 47.1% with recovery of 51.51% for classified with 3,000rpm of air classifier for ground at 13,000rpm in pin mill.

• 한국항공운항학회지
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• 제24권3호
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• pp.48-54
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• 2016

This paper proposes a prediction model of air traffic controller's take-off clearance under mixed mode runway operations. The proposed model has its purpose on the better prediction of the air traffic controller's clearance on take-offs of departure aircraft by considering various factors. For this purpose, support vector machine classification algorithm is used for the proposed model. The proposed model is applied to real air traffic operations to demonstrate its performances.

• 설비공학논문집
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• 제16권10호
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• pp.932-941
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• 2004

The objective of this study is to detect the multi-fault of HVAC system using a new pattern classification technique. To classify the effect of single-fault in determining the pattern, supply air temperature, OA-damper, supply fan, and air flowrate were chosen as experimental parameters. The combination of supply temperature, flow rate, supply fan and OA-damper were chosen as multi-fault conditions. Three kinds of patterns were introduced in the analysis of multi-fault problem. To solve multi-fault problem, the new pattern classification technique using residual ratio analysis was introduced to detect the multi-fault as well as single-fault. The residual ratio could diagnose single-fault or multi-fault into several patterns.

• Wind and Structures
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• 제3권3호
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• pp.159-175
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• 2000

Many practical time series, including pressure signals measured on roof-corners of low-rise buildings in quartering winds, consist of relatively quiescent periods interrupted by intermittent transients. The dyadic wavelet transform is used to detect these transients in pressure time series and a relatively simple pattern classification scheme is used to detect underlying structure in these transients. Statistical analysis of the resulting pattern classes yields a library of signal "building blocks", which are useful for detailed characterization of transients inherent to the signals being analyzed.

• 한국실내디자인학회논문집
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• 제22권1호
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• pp.19-27
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• 2013

The objective of this study was to establish Facility classification for military barracks among military facilities. The military barracks are the place where soldiers spend most of their time. Thus, a new type of space in military barracks is required to improve the quality of life of the soldiers and make the military more advanced for national defense. The research method was to derive problems through a survey of the previous literature and case studies and to select target places in the Army, Navy, Air Force, and Marine based on the derived problems. An improvement scheme was proposed by developing criteria for military barracks spaces through a questionnaire survey. The following results were obtained: Facility classification inside of national defense military facility standard should be reorganized. The alternative plan is demanded for some camp which has no need about setting up the office facility. And the study of reasonable facility area after improvementing facility categorization is required.

• 설비공학논문집
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• 제27권11호
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• pp.574-580
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• 2015

Climatic zone in building code is an administrative district classification reflecting regional climatic characteristics. Use of Degree-Days is a fundamental method that can be used in various building design codes, analysis of building energy performance, and establishment of minimum thermal transmittance of building envelopes. Many foreign countries, such as the USA, the EU, Australia, Italy, India, China, etc., have already adapted climatic zone classification with degree-days, precipitation or amount of water vapor based on the characteristics of their own country's climate. In Korea, however, the minimum requirements for regional thermal transmittance are classified separately for the Jungbu area, Nambu area and Jeju Island with no definite criterion. In this study, degree-days of 255 Korean cities were used for climatic zone classification. Outdoor dry-bulb temperature data from the Korea Meteorological Administration for 1981~2010 was used to calculate degree-days. ArcGIS and the calculated degree-days were utilized to analyze and visualize climatic zone classification. As a result, depending on the distribution and distinctive differences in degree-days, four climatic zones were derived : 1) Central area, 2) Mountain area of Gyeonggi and Gangwon provinces, 3) Southern area, and 4) Jeju Island. The climatic zones were suggested per administrative district for easy public understanding and utilization.

• 한국대기환경학회지
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• 제18권1호
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• pp.25-37
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• 2002

The purpose of the study was to survey the distribution patterns of inorganic elements of PM-10 in the various indoor environments and analyze the pollution patterns of aerosol in various places of indoor environment using a pattern recognition method based on cluster analysis and disjoint principal component analysis. A total of 40 samples in the indoor had been collected using mini-vol portable samplers. These samples were analyzed for their 19 bulk inorganic compounds such as B, Na, Mg, Al, K, Ca, Ti, V, Cr, Fe, Ni, Cu, Zn, As, Se, Cd, Ba, Ce, and Pb by using an ICP-MS. By applying a disjoint principal component analysis, four patterns of the indoor air pollutions were distinguished. The first pattern was identified as a group with high concentrations of PM-10, Na, Mg, and Ca. The second pattern was identified as a group with high concentrations B, Mg, At, Ca, Fe, Cu, and Ba. The third pattern was a group of sites with high concentrations of K, Zn. Cd. The fourth pattern was a group with low concentrations PM-10 and all inorganic elements. This methodology was found to be helpful enough to set the criteria standard of indoor air quality, corresponding pollutants, and classification of indoor environment categories when making an indoor air quality law.