• 제목/요약/키워드: 전처리기술

검색결과 1,248건 처리시간 0.029초

A Study for Remediation of Railroad Ballast Gravel Using Dry Washing Method (건식세척기술을 이용한 철도 도상자갈 정화 연구)

  • Bae, Jiyong;Jeong, Taeyang;Kim, Jae Hun;Lee, Sang Tak;Joo, Hyung Soo;Oh, Seung-Taek;Cho, Youngmin;Park, Duckshin
    • Journal of the Korean Society for Railway
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    • 제20권3호
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    • pp.365-373
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    • 2017
  • This study proposes a newly developed dry washing method for removing pollutants such as total petroleum hydrocarbon (TPH) and oxidized iron from the surface of ballast gravel. A batch-type dry washing method showed a good performance in a previous study. In this study, a continuous-type dry washing system, instead of a batch-type system, was prepared to improve the efficiency of the system. A drier and a separator were also applied to this system as pre-treatment process, and the performance of this system was evaluated. In this experiment, blasting media was blasted on the polluted gravels through 12 nozzles by a pressure of $5-6kg/cm^2$ for 20-30 mins to remove TPH and oxidized iron. It was found to be possible to remove 80-90% of TPH and oxidized iron by using this system. Several ways to improve the performance were suggested in this study.

Automotive Pre-primed Coatings with Automotive Structural Adhesive for Non-weldable Binding Process (자동차 구조용 접착제를 이용한 자동차용 Pre-primed 도료의 비용접식 접합공정 적용)

  • Moon, Je-Ik;Lee, Yong-Hee;Kim, Hyun-Joong;Noh, Seung Man;Nam, Joon Hyun;Kim, Min-Su;Kim, Jun-Ki;Kim, Jong-Hoon
    • Journal of Adhesion and Interface
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    • 제12권3호
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    • pp.99-104
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    • 2011
  • Currently, automotive pre-primed coatings has been developed to overcome environmental regulations and to reduce manufacturing cost in automotive industry. By these reasons, an automotive pre-primed system has been investigated to remove the wash and pre-treatment process using a roll coating application. It is required to develop non-weldable pre-primed system for automotive structural adhesives, because pre-primed sheet coated with organic compounds is hard to be assembled by welding process. Primer 1 (polyester type) and primer 2 (urethane type) were designed to satisfy flexibility and formability for non-weldable pre-primed system. According to the results of physical property test of the primers, adhesion test such as single-lap shear test and T-peel test, primer 1 (polyester type) had better physical properties such as pencil hardness, solvent resistance, flexibility and adhesion with automotive adhesive than that of primer 2 (polyurethane type). In addition, the possibility of the non-weldable pre-primed system was applicable to automotive assembly process in place of welding process.

Development of a Ginseng Surface Washing System (인삼 표면세척 시스템 개발)

  • Lee, Hyun-Seok;Jeong, Jin-Woong;Kim, Byeong-Sam;Kwon, Ki-Hyun
    • Food Science and Preservation
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    • 제16권4호
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    • pp.541-548
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    • 2009
  • We developed a surface washing system for ginseng. The washing system was developed using different treatments and conditions and characterized in terms of product hardness, weight loss, and change in temperature and color. Optimal results were obtained using a surface washing system involving a washing conveyor speed of 1.0 L/min, a water pressure of $35\;kg/cm^2$, a washing nozzle angle of $40^{\circ}$, a washing height of 5 cm, a 1-sec reciprocating washing nozzle cycle, a dehydration wind velocity of 30 m/sec, and an internal drying temperature of $30-33^{\circ}C$. A surface washing system using a washing conveyor speed of0.8 L/min, a water pressure of $40\;kg/cm^2$, a washing nozzle angle of $40^{\circ}$, a washing height of 3 cm, a 1-sec reciprocating washing nozzle cycle, a dehydration wind velocity of 30 m/sec, and an internal drying temperature of $30-33^{\circ}C$ resulted in ginseng that was stained yellow.

Research on Broadband Signal Processing Techniques for the Small Millimeter Wave Tracking Radar (소형 밀리미터파 추적 레이더를 위한 광대역 신호처리 기술 연구)

  • Choi, Jinkyu;Na, Kyoung-Il;Shin, Youngcheol;Hong, Soonil;Park, Changhyun;Kim, Younjin;Kim, Hongrak;Joo, Jihan;Kim, Sosu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • 제21권6호
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    • pp.49-55
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    • 2021
  • Recently, a small tracking radar requires the development of a small millimeter wave tracking radar having a high range resolution that can acquire and track a target in various environments and disable the target system with a single blow. Small millimeter wave tracking radar with high range resolution needs to implement a signal processor that can process wide bandwidth signals in real time and meet the requirements of small tracking radar. In this paper, we designed a signal processor that can perform the role and function of a signal processor for a small millimeter wave tracking radar. The signal processor for the small millimeter wave tracking radar requires the real-time processing of input signal of OOOMHz center frequency and OOOMHz bandwidth from 8 channels. In order to satisfy the requirements of the signal processor, the signal processor was designed by applying the high-performance FPGA (Field Programmable Gate Array) and ADC (Analog-to-digital converter) for pre-processing operations, such as DDC (Digital Down Converter) and FFT (Fast Fourier Transform). Finally, the signal processor of the small millimeter wave tracking radar was verified via performance test.

A Study of Artificial Intelligence Learning Model to Support Military Decision Making: Focused on the Wargame Model (전술제대 결심수립 지원 인공지능 학습방법론 연구: 워게임 모델을 중심으로)

  • Kim, Jun-Sung;Kim, Young-Soo;Park, Sang-Chul
    • Journal of the Korea Society for Simulation
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    • 제30권3호
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    • pp.1-9
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    • 2021
  • Commander and staffs on the battlefield are aware of the situation and, based on the results, they perform military activities through their military decisions. Recently, with the development of information technology, the demand for artificial intelligence to support military decisions has increased. It is essential to identify, collect, and pre-process the data set for reinforcement learning to utilize artificial intelligence. However, data on enemies lacking in terms of accuracy, timeliness, and abundance is not suitable for use as AI learning data, so a training model is needed to collect AI learning data. In this paper, a methodology for learning artificial intelligence was presented using the constructive wargame model exercise data. First, the role and scope of artificial intelligence to support the commander and staff in the military decision-making process were specified, and to train artificial intelligence according to the role, learning data was identified in the Chang-Jo 21 model exercise data and the learning results were simulated. The simulation data set was created as imaginary sample data, and the doctrine of ROK Army, which is restricted to disclosure, was utilized with US Army's doctrine that can be collected on the Internet.

Effect of High Pressure Processing on the Rancidity of Yeonhaeju Soybean (Bazaz) Powder during Storage (초고압처리에 의한 연해주 대두분말의 저장기한 중의 산패도 변화)

  • Lee, Soo-Bock;Uhm, Byung-Hyun;Yoon, Won-Byong
    • Food Engineering Progress
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    • 제15권3호
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    • pp.209-213
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    • 2011
  • Changes of rancidity of soybean powder from Yeonhaeju (Bazaz) during storage were evaluated by TBA, and compared with those of Korean soybean (Baektae). Lipoxygenase (LOX) in the soybean powder was inactivated by high pressure processing (HPP) to increase the stability of soybean powder during storage. The level of inactivation of LOX was measured by spectrophotometer at 234 nm. HPP decreased the activity of LOX in the soybean powder of Baektae, compared to that of the control (i.e., soybean powder without HPP treatment) of Baektae, while TBA values of both HPP treated Baektae and the control were increased up to 24 days of storage. However, in case of Bazas, both LOX activity TBA values decreased after HPP treatment, compared to those of controls. The antioxidant compounds in both soybeans were measured and quantitatively evaluated by on-line $ABTS^{+}$ assay. Based on the trolox equivalent (TE) value at the retention time 38.2 and 40.1 min, the antioxidant components in Bazaz were higher than that of Baektae. It might indicate that relatively lower TBA values of HPP treated Bazaz was due to lower LOX activity as well as higher antioxidant compounds in the species.

A Spatial Analysis Based on the Amendments in Seoul's 2030 Youth Housing Policy Using Propositional Logic (명제논리 기반 서울시 역세권 2030청년주택 운영기준의 개정효과 분석)

  • Kim, Seong-Hun;Cho, Hyeon-Jun;Choei, Nae-Young;Han, Dae-Jeong;Bak, Min-Ho
    • Journal of Cadastre & Land InformatiX
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    • 제49권1호
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    • pp.157-179
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    • 2019
  • The Seoul's 2030 Youth-Housing has been regarded as the only option to procure rental housing sites in downtown Seoul. But its supply did not catch up with the initial expectation, and the criticism that it may disrupt the current zoning system of the city has persisted. Consequently, the 2030 Youth-Housing policy has undergone amendments for six times within the last three years, and the significant changes in its guideline also have been made within the last one year. The study, in this context, tries to figure out the tendencies of those changes made in the guidelines so far by analyzing the aspects of the parcels allowable for Youth-Housing as well as the areas allowable for up-zoning. In the process, the propositional logic is to be adopted to draw the scope of the buildable areas for Youth-Housing. For this, the study refines the raw GIS data, inputs the values for each proposition, and proceeds the logical operation to judge every parcel of the city to discern whether it is eligible for a buildable site and/or for up-zoning for Youth-Housing. It is seen that: 1) the buildable sites rather evenly distribute around the peripheral subway-station areas while more concentrating on the quasi-residential and commercial areas; and 2) the areas eligible for up-zoning have the tendency to concentrate more on quasi-residential areas than others.

Study on Anomaly Detection Method of Improper Foods using Import Food Big data (수입식품 빅데이터를 이용한 부적합식품 탐지 시스템에 관한 연구)

  • Cho, Sanggoo;Choi, Gyunghyun
    • The Journal of Bigdata
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    • 제3권2호
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    • pp.19-33
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    • 2018
  • Owing to the increase of FTA, food trade, and versatile preferences of consumers, food import has increased at tremendous rate every year. While the inspection check of imported food accounts for about 20% of the total food import, the budget and manpower necessary for the government's import inspection control is reaching its limit. The sudden import food accidents can cause enormous social and economic losses. Therefore, predictive system to forecast the compliance of food import with its preemptive measures will greatly improve the efficiency and effectiveness of import safety control management. There has already been a huge data accumulated from the past. The processed foods account for 75% of the total food import in the import food sector. The analysis of big data and the application of analytical techniques are also used to extract meaningful information from a large amount of data. Unfortunately, not many studies have been done regarding analyzing the import food and its implication with understanding the big data of food import. In this context, this study applied a variety of classification algorithms in the field of machine learning and suggested a data preprocessing method through the generation of new derivative variables to improve the accuracy of the model. In addition, the present study compared the performance of the predictive classification algorithms with the general base classifier. The Gaussian Naïve Bayes prediction model among various base classifiers showed the best performance to detect and predict the nonconformity of imported food. In the future, it is expected that the application of the abnormality detection model using the Gaussian Naïve Bayes. The predictive model will reduce the burdens of the inspection of import food and increase the non-conformity rate, which will have a great effect on the efficiency of the food import safety control and the speed of import customs clearance.

Evaluation of Electromagnetic Shielding Performance of SiC and Graphite Mixed Mortar (SiC 및 흑연 혼입 모르타르의 전자파 차폐 성능 평가)

  • Park, Oh-Seong;Cho, Hyeong-Kyu
    • Journal of the Korea Institute of Building Construction
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    • 제21권5호
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    • pp.459-468
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    • 2021
  • Blocking electromagnetic waves on the exterior walls of buildings effectively reduces the intensity of electromagnetic fields in buildings, which leads to attenuation of electromagnetic disturbances, so there is a great interest in developing technologies. In this study, SiC by-products and graphite generated in the semiconductor field were selected and mixed into mortar after pretreatment such as pulverization to evaluate their physical properties and electromagnetic wave shielding performance. Considering the economic efficiency of each shielding material, only 10% volume of the outermost side of the experiment was mixed with each shielding material to evaluate the shielding performance. The shielding performance was predicted when the experiment was manufactured by mixing the shielding material with the entire volume of the experiment using the shielding effect evaluation formula. The results of the experiment showed that the shielding performance was up to 20 dB when SiC grains were mixed with shielding materials, the shielding performance was up to 18 dB when graphite powder was mixed with shielding materials, and the shielding performance was up to 28 dB when SiC powder was mixed with shielding materials, and the shielding performance was close to 30 dB, which is known to have a shielding rate of 99.9%.

Residue and risk assessment of veterinary antibiotics in manure-based composts and agricultural soils (가축분뇨 유래 퇴비 및 농경지 중 축산용 항생제의 잔류 및 위해성 평가)

  • Paik, Min-Kyoung;Ryu, Song-Hee;Kim, Sung-Chul;Hong, Young-Kyu;Kim, Jin-Wook;Kim, Jeong-Gyu;Kwon, Oh-Kyung
    • Journal of Applied Biological Chemistry
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    • 제64권2호
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    • pp.177-184
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    • 2021
  • While veterinary antibiotics are used only in a part of the dose administered, the rest are excreted as urine or feces. Residual antibiotics enter the adjacent agricultural environments by spraying manure-based composts on farmlands and lead to secondary pollution. Therefore, it is necessary to develop the technique for post management such as regulatory levels of antibiotics in the agricultural environments. This study was conducted to compare by different matrices the amount of residual antibiotics such as tetracyclines and sulfonamides, which are known to be frequently used in Korea and to practice risk assessment by different antibiotics in soils before and after application of composts. Pre-treatment with modified typical method using buffer and solid phase extraction showed the recovery of composts and soils was more than 70% at ppb level and the limits of detection were 0.13-0.46 and 0.05-0.25 ㎍/kg, respectively. Analysis of manure-based composts revealed concentrations from 5.38 to 196.0 ㎍/kg for tetracyclines, from below the detection of limit (BDL) to 259.0 ㎍/kg for sulfonamides. In case of agricultural soils, residual concentrations of selected veterinary antibiotics were ranged 0.30-53.3 ㎍/kg, BDL-4.16 ㎍/kg respectively and the concentration level of tetracyclines, which had higher soil distribution coefficient (Kd) values, was higher than that of sulfonamides. There was a difference in human risk assessment by different antibiotics in soil before and after application of composts. But, it was indicated that detection values of all of 5 antibiotics were very safe on the basis that Hazard Quotient was safe below 1.