• Title/Summary/Keyword: Cleaning Method

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Effects of Post-Harvest Bulk Management System Using Rice Processing Complex on Labor Saving and Quality of Barley (보리 산물처리에 의한 품질변화와 생력효과)

  • 이춘우;윤의병;구본철;백성범;손영구;서세정;남중현;김완석
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.47 no.6
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    • pp.475-478
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    • 2002
  • Post-harvest treatment for barley production requires many steps including drying, cleaning, and packing, and these steps be needed many labor input. Rice processing complex (RPC) is useful for post harvest management system in rice production. However, it is rare to be used for barley production. This study was conducted to explore the variations of quality and labor saving between conventional method and bulk-management system in post-harvest using RPC. The sorting rate was not different between manual method and bulk management. The hardness of non-polished grain was ranged 10,175-10,329 g/$3.14mm^2$, and that for non-polished grain was higher than that for polished grain, but there was not different between drying method. There was not be showed the hunter's value such as L, a and b according to drying method. Cooking characters such as water absorption ratio, swelling ratio, and water soluble extracts by circulated or continued dryer was higher than manual drying using solar heat. Labor input per ha for each cultivation process in bulk-management of barley using rice processing complex was 21 hours, compared to 46 hr/ha in the conventional method, labor input was greatly saved by up to 54.3% in the post-harvest bulk management system.

Data abnormal detection using bidirectional long-short neural network combined with artificial experience

  • Yang, Kang;Jiang, Huachen;Ding, Youliang;Wang, Manya;Wan, Chunfeng
    • Smart Structures and Systems
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    • v.29 no.1
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    • pp.117-127
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    • 2022
  • Data anomalies seriously threaten the reliability of the bridge structural health monitoring system and may trigger system misjudgment. To overcome the above problem, an efficient and accurate data anomaly detection method is desiderated. Traditional anomaly detection methods extract various abnormal features as the key indicators to identify data anomalies. Then set thresholds artificially for various features to identify specific anomalies, which is the artificial experience method. However, limited by the poor generalization ability among sensors, this method often leads to high labor costs. Another approach to anomaly detection is a data-driven approach based on machine learning methods. Among these, the bidirectional long-short memory neural network (BiLSTM), as an effective classification method, excels at finding complex relationships in multivariate time series data. However, training unprocessed original signals often leads to low computation efficiency and poor convergence, for lacking appropriate feature selection. Therefore, this article combines the advantages of the two methods by proposing a deep learning method with manual experience statistical features fed into it. Experimental comparative studies illustrate that the BiLSTM model with appropriate feature input has an accuracy rate of over 87-94%. Meanwhile, this paper provides basic principles of data cleaning and discusses the typical features of various anomalies. Furthermore, the optimization strategies of the feature space selection based on artificial experience are also highlighted.

Evaluation of Marginal and Internal Gap of Temporary Prosthesis Fabricated by 3D Printing Method According to Rinsing Method and Rinsing Time (세척 방법 및 세척 시간에 따른 3D 프린팅 방식으로 제작된 임시 보철물의 변연 및 내면 적합도 평가)

  • Ji-Hyeon Bae;Jae-Won Choi
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.4_2
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    • pp.561-570
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    • 2023
  • This study was to evaluate the effect of different rinsing times and methods on the accuracy of temporary prostheses fabricated by 3D printing method. Sixty temporary prostheses were fabricated with LCD types of 3D printer(Halot-Sky, Creality, Shenzhen, China) and divided into six groups (n = 10) based on rinsing times and methods. All specimens were rinsed with 99% isopropanol alcohol for 5 and 10 min using three methods-hand washed, ultrasonic cleaning, and automated washing. All specimens were polymerized for 3 minutes under the same conditions. The marginal and internal gaps of specimens were examined using a replica technique. The light-body silicone thickness was measured at 6 reference points(Absolute marginal discrepancy, Marginal, Chamfer, Axial, Angle, and Occlusal gap). All measurements were performed by a stereomicroscope. Reference point images were taken at 100× magnification and then measured using an image analysis program. Statistical analysis was performed using Two-way ANOVA, One-way ANOVA, and the Kruskal-Wallis test (p = .05). The marginal and internal gaps were statistically different according to the rinsing methods and rinsing times(p < .001). In the rinsing time, the temporary prosthesis rinsed for 5 minutes group showed higher accuracy than 10 minutes group. In the rinsing method, the hand washing group showed higher accuracy than the automated washing group.

Effect of the tooth pick of the disabled person oral treatment (Toothpick method(와타나베법)을 이용한 장애인 구강건강관리 효과)

  • Oh, Ha-Min;Song, Kyoung-Hee
    • Journal of Korean Dental Hygiene Science
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    • v.1 no.1
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    • pp.37-46
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    • 2018
  • This study conducted a 'specialist tooth brushing' method against the severely disabled once every other week. The purpose of this study is to analyze and validate the effectiveness of maintaining healthy periodontal management when consistent oral hygiene lasts with minimum stimuli for 24 - months. The conclusions were as follows. Table 2 compares the difference between group 1 and 2 from the 1st to 11th management and verifies the actual difference in measurement of each index. Group 1 used a professional tooth brush while Group 2 used a general brush. There were found many significant differences in dental index. As for PHP, Oral Malodor index and gingival bleeding, it was found that one or two times of dental care can make substantial differences in dental health condition. These results show that as the number of toothbrush method has been increased, gingival bleeding and periodontal index are significantly improved, not to mention the improvement of gingivitis and periodontal disease. This is because periodontal tissue is affected by brushing method, brushing time and consistency of dental care. During the 6-month period, 20 minutes of active periodontal care was intensively conducted, and for 18-months the effect of consistent care was verified by 10-minute periodontal care once every other week. As a result of the test, it was found that there was no complete regression in the basic periodontal treatment and the periodontal health condition had been maintained for 24 months. Also this test shows that, despite of inconsistent dental hygienic care, regular plague control can prevent dental diseases and maintain the dental health. This study proved that periodontal condition can be maintained by periodontal care once every other week as the tooth brushing properly stimulates the gums with positive effect. Therefore, professional dental healthcareworkers should be designated for each facility for the disabled, and dental health of the disabled should be professionally cared on a regular basis, and consistent and repetitive management by the dental care specialist are required.

An early fouling alarm method for a ceramic microfiltration pilot plant using machine learning (머신러닝을 활용한 세라믹 정밀여과 파일럿 플랜트의 파울링 조기 경보 방법)

  • Dohyun Tak;Dongkeon Kim;Jongmin Jeon;Suhan Kim
    • Journal of Korean Society of Water and Wastewater
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    • v.37 no.5
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    • pp.271-279
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    • 2023
  • Fouling is an inevitable problem in membrane water treatment plant. It can be measured by trans-membrane pressure (TMP) in the constant flux operation, and chemical cleaning is carried out when TMP reaches a critical value. An early fouilng alarm is defined as warning the critical TMP value appearance in advance. The alarming method was developed using one of machine learning algorithms, decision tree, and applied to a ceramic microfiltration (MF) pilot plant. First, the decision tree model that classifies the normal/abnormal state of the filtration cycle of the ceramic MF pilot plant was developed and it was then used to make the early fouling alarm method. The accuracy of the classification model was up to 96.2% and the time for the early warning was when abnormal cycles occurred three times in a row. The early fouling alram can expect reaching a limit TMP in advance (e.g., 15-174 hours). By adopting TMP increasing rate and backwash efficiency as machine learning variables, the model accuracy and the reliability of the early fouling alarm method were increased, respectively.

Characterization of bromine and chlorine in the closed combustion system (연소 반응기를 이용한 브롬 및 염소의 함량 측정에 관한 연구)

  • Choi, Ki-In;Kwon, Duck-Jun;Bae, Sung-Jin;Lee, Dong-Hoon
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.21 no.6
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    • pp.274-279
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    • 2011
  • In this study, we investigated the analytical methods for bromine (Br) and chloride (Cl) with oxygen combustion bomb, using a halogen-containing polymer materials. On measuring Cl content, it showed less reproducibility of the results applying Mohr method or potentiometric titration method than those applying acid-base titration method. In both Br and Cl tests with an oxygen combustion bomb, their concentrations in the absorption and cleaning solution with distilled water were much higher than those in the combustion gas. On the other hand, the concentration level of Br measured by the oxygen combustion bomb method were a little bit lower than those measured by XRF or combustionion chromatography.

Investigation on Selective Mechanization for Wet Season Rice Cultivation in Bangladesh

  • Islam, AKM Saiful;Islam, Md Tariqul;Rahman, Md Shakilur;Rahman, Md Abdur;Kim, Youngjung
    • Journal of Biosystems Engineering
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    • v.41 no.4
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    • pp.294-303
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    • 2016
  • Purpose: This study aimed to evaluate the profitability of four selective mechanization systems in rice cultivation. Methods: Field experiments were conducted in the farmers' field during the wet season (June to November) of 2015 in Bangladesh. Mechanization systems were applied to evaluate four different selective levels (treatment) in eleven consequent operations. Seedlings were raised in a traditional seedbed and trays for manual and mechanical transplanting, respectively. Land preparation, irrigation, fertilizer, pesticide, carrying, and threshing and cleaning operations were performed using the same method in all the experimental plots. The mechanical options in the transplanting, weeding, and harvesting operations were changed. The mechanization systems were $S_1$ = hand transplanting + hand weeding + harvesting by sickle, $S_2$ = mechanical transplanting + Bangladesh Rice Research Institute (BRRI) weeder + reaper, $S_3$ = mechanical transplanting + BRRI power weeder + reaper, and $S_4$ = mechanical transplanting + herbicide + reaper. This experiment was performed in a randomized complete block design with four replications. Power tiller, rice transplanter, BRRI weeder, BRRI power weeder, self-propelled reaper, BRRI open drum thresher, and BRRI winnower were used in the respective operations. Accordingly, the techno-economic performances of the different technologies were calculated and compared with those of the traditional system. Results: The mechanically transplanted plot produced 6-10% more yield than the hand transplanted plot because of the use of tender-aged seedlings. Mechanical transplanting reduced 61% labor and 18% cost compared to manual transplanting. The BRRI weeder, BRRI power weeder, and herbicide application reduced 74, 91, and 98% labor, respectively. The latter also saved 72, 63, and 82% cost, respectively, compared to hand weeding. Herbicide application reduced the substantial amount of labor and cost in the weeding operation. Mechanical harvesting also saved 96% labor and 72% cost compared to the traditional method of harvesting using sickle. Selective mechanization saved 15-17% input cost compared to the traditional method of rice cultivation. Conclusions: Mechanical transplanting with the safe use of herbicide and harvesting by reaper is the most cost- and labor-saving operation. The method might be the recommended set of selective mechanization for enhancing productivity.

Transmembrane Pressure of Backwashing, Filtration/Relaxation and the Sinusoidal Flux Continuous Operation Modes for Submerged Plate Membrane (역세척, 여과/이완 및 사인파형 연속투과 운전방식에 따른 침지형 평막의 막간차압)

  • Kim, Jae Hyo;Kim, Eun Soo;Chung, Kun Yong
    • Membrane Journal
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    • v.29 no.4
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    • pp.216-222
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    • 2019
  • In this study, permeation experiments were conducted using naturally circulating spherical beads, backwashable plate membrane and the air supplied from the bottom of the MBR. The activated sludge solution was maintained at 8,000 mg/L of MLSS and compared transmembrane pressure (TMP) with respect to FR (filtration and relaxation), FR/BW (filtration and relaxation/backwashing), SFCO (sinusoidal filtration continuous operation) and SFCO/BW (sinusoidal filtration continuous operation/backwashing). As the backwashing flux decreased from 47 to $14L/m^2{\cdot}hr$, the TMP increased generally, but the TMP of FR system increased significantly comparing with SFCO. In addition, the backwashing method reduced more TMP comparing to the cleaning method using spherical beads, and it was confirmed that the operation method using the spherical beads and the backwashing simultaneously is more effective than each method.

Effect of post-rinsing time and method on accuracy of denture base manufactured with stereolithography

  • Katheng, Awutsadaporn;Kanazawa, Manabu;Komagamine, Yuriko;Iwaki, Maiko;Namano, Sahaprom;Minakuchi, Shunsuke
    • The Journal of Advanced Prosthodontics
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    • v.14 no.1
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    • pp.45-55
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    • 2022
  • PURPOSE. This in vitro study investigates the effect of different post-rinsing times and methods on the trueness and precision of denture base resin manufactured through stereolithography. MATERIALS AND METHODS. Ninety clear photopolymer resin specimens were fabricated and divided into nine groups (n = 10) based on rinsing times and methods. All specimens were rinsed with 99% isopropanol alcohol for 5, 10, and 15 min using three methods-automated, ultrasonic cleaning, and hand washing. The specimens were polymerized for 30 min at 40℃. For trueness, the scanned intaglio surface of each SLA denture base was superimposed on the original standard tessellation language (STL) file using best-fit alignment (n = 10). For precision, the scanned intaglio surface of the STL file in each specimen group was superimposed across each specimen (n = 45). The root mean square error (RMSE) was measured, and the data were analyzed statistically through one-way ANOVA and Tukey test (α < .05). RESULTS. The 10-min automated group exhibited the lowest RMSE. For trueness, this was significantly different from specimens in the 5-min hand-washed group (P < .05). For precision, this was significantly different from those of other groups (P < .05), except for the 15-min automated and 15-min ultrasonic groups. The color map results indicated that the 10-min automated method exhibited the most uniform distribution of the intaglio surface adaptation. CONCLUSION. The optimal postprocessing rinsing times and methods for achieving clear photopolymer resin were found to be the automated method with rinsing times of 10 and 15 min, and the ultrasonic method with a rinsing time of 15 min.

The Effect of Excess Samarium Oxide on the Preparation of Sm-Fe Alloy Powder by Reduction-diffusion Method (환원-확산법에 의한 Sm-Fe 합금분말 제조시 Sm2O3 첨가량의 영향)

  • Kwak, Hun;Lee, Jung-Goo;Choi, Chul-Jin
    • Journal of Powder Materials
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    • v.16 no.5
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    • pp.336-341
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    • 2009
  • To produce alloy powders with only Sm$_2$Fe$_{17}$ single phase by reduction-diffusion (R-D) method, the effect of excess samarium oxide on the preparation of Sm-Fe alloy powder during R-D heat treatment was studied. The quantity of samarium oxide was varied from 5% to 50% whereas iron and calcium were taken 0% and 200% in excess of chemical equivalent, respectively. The pellet type mixture of samarium, iron powders and calcium granulars was subjected to heat treatment at 1100$^{\circ}C$ for 5 hours. The R-D treated pellet was moved into deionized water and agitated to separate Sm-Fe alloy powders. After washing them in deionized water several times, the powders were washed with acetic acid to remove the undesired reaction products such as CaO. By these washing and acid cleaning treatment, only 0.03 wt% calcium remained in Sm-Fe alloy powders. It was also confirmed that the content of unreacted $\alpha$-Fe in Sm$_2$Fe$_{17}$ matrix gradually decreased as the percentage of samarium oxide is increased. However, there was no significant change above 40% excess samarium oxide.