• Journal of the Korean Vacuum Society
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• v.18 no.4
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• pp.318-330
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• 2009

A high heat flux test facility using a graphite heating panel was constructed and is presently in operation at Korea Atomic Energy Research Institute, which is called KoHLT-1. Its major purpose is to carry out a thermal cycle test to verify the integrity of a HIP (hot isostatic pressing) bonded Be mockups which were fabricated for developing HIP joining technology to bond different metals, i.e., Be-to-CuCrZr and CuCrZr-to-SS316L, for the ITER (International Thermonuclear Experimental Reactor) first wall. The KoHLT-1 consists of a graphite heating panel, a box-type test chamber with water-cooling jackets, an electrical DC power supply, a water-cooling system, an evacuation system, an He gas system, and some diagnostics, which are equipped in an authorized laboratory with a special ventilation system for the Be treatment. The graphite heater is placed between two mockups, and the gap distance between the heater and the mockup is adjusted to $2{\sim}3\;mm$. We designed and fabricated several graphite heating panels to have various heating areas depending on the tested mockups, and to have the electrical resistances of $0.2{\sim}0.5$ ohms during high temperature operation. The heater is connected to an electrical DC power supply of 100 V/400 A. The heat flux is easily controlled by the pre-programmed control system which consists of a personal computer and a multi function module. The heat fluxes on the two mockups are deduced from the flow rate and the coolant inlet/out temperatures by a calorimetric method. We have carried out the thermal cycle tests of various Be mockups, and the reliability of the KoHLT-1 for long time operation at a high heat flux was verified, and its broad applicability is promising.

• Journal of The Korean Society of Grassland and Forage Science
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• v.36 no.2
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• pp.150-158
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• 2016

This study was conducted to evaluate growth characteristics, yield and feed value of newly developed domestic teosinte (Geukdong 6) compared to widely cultivated silage corn hybrid (31N27) and sorghum ${\times}$ sudangrass hybrid (P877F). Geukdong 6, a new single cross (Teosinte ${\times}$ Suwon 19) variety, is a teosinte (Zea may L. ssp. maxicana) developed by the Geukdong 6 of agricultural company corporation (GACC) in An-dong province. This field experiment was designed in a randomized block design with three replications and consisted of silage corn (T1), sorghum x sudangrass hybrid (T2) and Geukdong 6 (T3). Leaf length, number of leaves, number of tillers and fresh yield of T3 were higher than that of T1 and T2 (p<0.05). Dry matter yield of T3 was lower than that of T1 (p<0.05). In particular, T3 ($0.1kg/cm^2$) showed to be very tender compared to other T1 ($0.5kg/cm^2$) and T2 ($0.5kg/cm^2$), (p<0.05). The crude protein content of T3 as 8.25% was higher than that of T2 (5.90%), (p<0.05). However, there was no significant differences between T1 (8.14%). The brix degree of T2 was higher than that of T1 and T3 (p<0.05). T3 showed higher content of total minerals compared to T1 and T2 (p<0.05). The relative palatability of T3 was higher than T1 and T2 (p<0.05), when fed to deer as soiling crop. However, it showed a lower than T1 in Korean native cattle and korean native goats. The relative palatability of the silage shown in order of T1> T3> T2 in korean native cattle, spotted deer, and korean native goats. As mentioned above the results, Geukdong 6 (T3) could be recommended as using of soiling and lab silage, when high fresh yield, tender stem, number of many leaf, content of high crude protein, and palatability higher than sorghum ${\times}$ sudangrass hybrid were considered.

• Resources Recycling
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• v.9 no.6
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• pp.36-44
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• 2000

Fly ash was composed of the unburned carbon and mineral particles. The former was able to attach on the bubbles, while the latter was not. Therefore, it was possible to separate the unburned carbon and the mineral from fly ash using the froth flotation process. This study was carried out to evaluate the separation efficiency as a function of the ny ash particle properties in the column flotation. Separation efficiency was analyzed for various size fraction of -38 fm,38~125 fm and 1125 W, and for various fly ash samples containing 7, 11, and 20 wt% unburned carbon. For the size fractions of -38 fm containing 7 wt% unburned carbon, separation efficiency was 86ft, whereas separation efficiency was found to be 74% for the size fraction of +125$\mu\textrm{m}$ containing 20 wt% unburned carbon. The results indicated that separation efficiency increased with the decrease in the particle size and the unburned carbon content of the fly ash.

• Elastomers and Composites
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• v.45 no.4
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• pp.263-271
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• 2010

Intermittent CSR testing was used to investigate the degradation of an FKM O-ring, also the prediction of its life-time. An intermittent CSR jig was designed taking into consideration the O-ring's environment under use. The testing allowed observation of the effects of friction, heat loss, and stress relaxation by the Mullins effect. Degradation of O-rings by thermal aging was observed between 60 and $160^{\circ}C$. In the high temperature of range ($100-160^{\circ}C$) O-rings showed linear degradation behavior and satisfied the Arrhenius relationship. The activation energy was about 60.2 kJ/mol. From Arrhenius plots, predicted life-times were 43.3 years and 69.9 years for 50% and 40% failure conditions, respectively. Based on TTS (time-temperature superposition) principle, degradation was observed at $60^{\circ}C$, and could save testing time. Between 60 and $100^{\circ}C$ the activation energy decreased to 48.3 kJ/mol. WLF(William-Landel-Ferry) plot confirmed that O-rings show non-linear degradation behavior under $80^{\circ}C$. The life-time of O-rings predicted by TTS principle was 19.1 years and 25.2 years for each failure condition. The life-time predicted by TTS principle is more conservative than that from the Arrhenius relationship.

• Clean Technology
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• v.28 no.1
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• pp.79-93
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• 2022

In this study, an electronics industrial wastewater activated sludge model (e-ASM) to be used as a Water Digital Twin was calibrated based on real high-tech electronics industrial wastewater treatment measurements from lab-scale and pilot-scale reactors, and examined for its treatment performance, effluent quality prediction, and optimal process selection. For specialized modeling of a high-tech electronics industrial wastewater treatment system, the kinetic parameters of the e-ASM were identified by a sensitivity analysis and calibrated by the multiple response surface method (MRS). The calibrated e-ASM showed a high compatibility of more than 90% with the experimental data from the lab-scale and pilot-scale processes. Four electronics industrial wastewater treatment processes-MLE, A2/O, 4-stage MLE-MBR, and Bardenpo-MBR-were implemented with the proposed Water Digital Twin to compare their removal efficiencies according to various electronics industrial wastewater characteristics. Bardenpo-MBR stably removed more than 90% of the chemical oxygen demand (COD) and showed the highest nitrogen removal efficiency. Furthermore, a high concentration of 1,800 mg L^-1 T MAH influent could be 98% removed when the HRT of the Bardenpho-MBR process was more than 3 days. Hence, it is expected that the e-ASM in this study can be used as a Water Digital Twin platform with high compatibility in a variety of situations, including plant optimization, Water AI, and the selection of best available technology (BAT) for a sustainable high-tech electronics industry.

• The Journal of Korean Academy of Prosthodontics
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• v.61 no.3
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• pp.189-197
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• 2023

Purpose. This study aimed to compare and evaluate the shear bond strength between various temporary prostheses resin blocks fabricated by subtractive and additive manufacturing methods bonded to self-curing reline resin. Materials and methods. The experimental groups were divided into 4 groups according to the manufacturing methods of the resin block specimens and each specimen was fabricated by subtractive manufacturing (SM), additive manufacturing stereolithography apparatus manufacturing (AMS), additive manufacturing digital light processing manufacturing (AMD) and conventional self-curing (CON). To bond the resin block specimens and self-curing resin, the reline resin was injected and polymerized into the same location of each resin block using a silicone mold. The shear bond strength was measured using a universal testing machine, and the surface of the adhesive interface was examined by scanning electron microscopy. To compare between groups, one-way ANOVA was done followed by Tukey post hoc test (α = 0.05). Results. The shear bond strength showed higher values in the order of CON, SM, AMS, and AMD group. There were significant differences between CON and AMS groups, as well as between CON and AMD groups. but there were no significant differences between CON and SM groups (P > .05). There were significant differences between SM and AMD groups, but there were no significant differences between SM and AMS groups. The AMS group was significantly different from the AMD group (P < .001). The most frequent failure mode was mixed failures in CON and AMS groups, and adhesive failures in SM and AMD groups. Conclusion. The shear bond strength of SM group showed lower but not significant bond strength compared to the CON group. The additive manufacturing method groups (AMS and AMD) showed significantly lower bond strength than the CON group, with the AMD group the lowest. There was also a significant difference between the AMD and SM group.

• Journal of The Korean Society of Grassland and Forage Science
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• v.19 no.2
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• pp.105-114
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• 1999

This experiment was carried out to determine seeding rate and planting date effects on the forage performance and quality of winter rye(Secale cereale L.) at Suweon in 1997 and 1998. The experiment was arranged in a spilt plot design with three replications. Main plots consisted of three seeding rates; 100, 150, and 200kg/ha. Sub-plots consisted of four planting dates; 5 September, 20 September, 5 October and 20 October. The first heading date of rye was not strongly influenced by planting dates. On a day basis, a 1:15 ratio was existed between heading and planting dates of rye, as a 1-day delay in spring heading date for each 15-day delay in fall planting date. Dry matter content of rye for a seeding rate of 200kg/ha was the lowest of 13.6%, and that for the planting dates was decreased to 15.2, 14.2, 14.3, and 13.8% with delayed seeding (P<0.05). There was an interaction between seeding rate and planting date in dry matter content of rye(P<0.01). Acid detergent fiber (ADF) percentage of rye for the seeding rates was not significant and that for the planting dates was decreased to 32.1, 31.6, 31.6, and 29.3%, as the planting was delayed(P<0.05). There was an interaction between seeding rate and planting date for ADF. Effect of seeding rate and planting date on neutral detergent fiber(NDF) of rye was similar to the observations made on ADF. Crude protein content of rye for the seeding rates was not significant, but that for the planting dates was increased to 17.3, 17.7, 18.2, and 18.9%, as the planting was delayed(P<0.05). In vitro dry matter digestibility(IVDMD) of rye for the seeding rates was not significant, but that for the planting dates was increased to 77.5, 80.6, 80.9, and 80.9%, as the planting was delayed(P<0.05). Dry matter yield of rye for a seeding rate of 100 kg/ha was the highest of 9,059 kg/ha, and that for a seeding rate of 200 kg/ha was the lowest of 7,647 kg/ha(P<0.01). In this experiment, the highest forage yield(8,945 kg/ha) was obtained when planting was completed by early October(5 October), with yield decreased as planting was delayed until 20 October (7,249 kg/ha)(P<0.01). This trend was also observed for the crude protein(CP) and in vitro digestible dry matter(IVDDM) yields of rye. A significant interaction between seeding rate and planting date for the dry matter yield was occurred(P<0.01). Based on the results of this experiment, it appears that the forage dry matter yield of rye could be enhanced by sowing from 20 September to 5 October under upland condition in the middle plain area of Korea. The seeding rates from 100 to 150 kg/ha and that of 200 kg/ha would be suitable for the early-fall and late fall sowing, respectively.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.85-109
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• 2018

Recommender system recommends the items expected to be purchased by a customer in the future according to his or her previous purchase behaviors. It has been served as a tool for realizing one-to-one personalization for an e-commerce service company. Traditional recommender systems, especially the recommender systems based on collaborative filtering (CF), which is the most popular recommendation algorithm in both academy and industry, are designed to generate the items list for recommendation by using 'overall rating' - a single criterion. However, it has critical limitations in understanding the customers' preferences in detail. Recently, to mitigate these limitations, some leading e-commerce companies have begun to get feedback from their customers in a form of 'multicritera ratings'. Multicriteria ratings enable the companies to understand their customers' preferences from the multidimensional viewpoints. Moreover, it is easy to handle and analyze the multidimensional ratings because they are quantitative. But, the recommendation using multicritera ratings also has limitation that it may omit detail information on a user's preference because it only considers three-to-five predetermined criteria in most cases. Under this background, this study proposes a novel hybrid recommendation system, which selectively uses the results from 'traditional CF' and 'CF using multicriteria ratings'. Our proposed system is based on the premise that some people have holistic preference scheme, whereas others have composite preference scheme. Thus, our system is designed to use traditional CF using overall rating for the users with holistic preference, and to use CF using multicriteria ratings for the users with composite preference. To validate the usefulness of the proposed system, we applied it to a real-world dataset regarding the recommendation for POI (point-of-interests). Providing personalized POI recommendation is getting more attentions as the popularity of the location-based services such as Yelp and Foursquare increases. The dataset was collected from university students via a Web-based online survey system. Using the survey system, we collected the overall ratings as well as the ratings for each criterion for 48 POIs that are located near K university in Seoul, South Korea. The criteria include 'food or taste', 'price' and 'service or mood'. As a result, we obtain 2,878 valid ratings from 112 users. Among 48 items, 38 items (80%) are used as training dataset, and the remaining 10 items (20%) are used as validation dataset. To examine the effectiveness of the proposed system (i.e. hybrid selective model), we compared its performance to the performances of two comparison models - the traditional CF and the CF with multicriteria ratings. The performances of recommender systems were evaluated by using two metrics - average MAE(mean absolute error) and precision-in-top-N. Precision-in-top-N represents the percentage of truly high overall ratings among those that the model predicted would be the N most relevant items for each user. The experimental system was developed using Microsoft Visual Basic for Applications (VBA). The experimental results showed that our proposed system (avg. MAE = 0.584) outperformed traditional CF (avg. MAE = 0.591) as well as multicriteria CF (avg. AVE = 0.608). We also found that multicriteria CF showed worse performance compared to traditional CF in our data set, which is contradictory to the results in the most previous studies. This result supports the premise of our study that people have two different types of preference schemes - holistic and composite. Besides MAE, the proposed system outperformed all the comparison models in precision-in-top-3, precision-in-top-5, and precision-in-top-7. The results from the paired samples t-test presented that our proposed system outperformed traditional CF with 10% statistical significance level, and multicriteria CF with 1% statistical significance level from the perspective of average MAE. The proposed system sheds light on how to understand and utilize user's preference schemes in recommender systems domain.