• Title/Summary/Keyword: 최적선정

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A Proposal for Meta Guideline of Orientate Signage Design based on Information Design (정보디자인 관점에서 방향 안내 표지판 디자인의 메타 가이드라인 제안)

  • Han, Ji Ae;You, Si Cheon
    • Smart Media Journal
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    • v.10 no.2
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    • pp.61-69
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    • 2021
  • Wayfinding is a 'Process solving problem to find destination', and it is important to select spatial data for optimal way. Recently, due to the complexity of space and the expansion of the medium of the wayfinding service, it is necessary to the approach on the information design for them. Therefore, the purpose of this study is to propose a meta guideline on the information design for the design of orientation sign, which is an important cognitive clue in the wayfinding. It was conducted in 3 stages, First, a design process was proposed and design elements were derived for each step by literature research related to information and sign design, and analysis of manual for signage design. Second, a meta guideline for information organization and visualization in the three-stage design process was proposed by FGI and analysis. Third, the meta guideline was applied to the sign design on an area for user evaluation to inspect the applicability of the meta guideline. Through the user questionnaire, the possibility of applying the guideline for visualization of directions and spaces, information hierarchy according to spatial characteristics and information priority was identified. It is meaningful in that necessary element for signage design are systematized centering on the process and that it presents a macroscopic methodology according to spatial characteristics.

Comparison of Optimal Storage Temperature and Collection Reagents for Living Bacterial Cells in Swab Samples (면봉시료에서 세균의 보존을 위한 최적 보관 온도와 채취 시약의 비교)

  • Lee, Yeong Ju;You, Hee Sang;Lee, Song Hee;Lee, So Lip;Lee, Han;Sung, Ho Joong;Kang, Hee Gyoo;Hyun, Sung Hee
    • Korean Journal of Clinical Laboratory Science
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    • v.53 no.4
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    • pp.326-332
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    • 2021
  • Swabs are useful and common sampling tools in various research fields, such as medicine, ecology, biotechnology, forensic medicine, and pollutant monitoring systems. Collection reagents are one of the essential components in sampling. It is important to develop a sample collection kit and designate an appropriate storage temperature because samples need to be stored for a long time. The purpose of this study was to identify the effects of three collection reagents and three storage temperatures on the recovery of living bacteria without media. We selected Escherichia coli and Staphylococcus aureus as representative environmental bacteria. Distilled water (DW), phosphate buffered saline (PBS), and Tris-EDTA (TE) buffer were used as collection reagents and stored at 22℃, 4℃, and -70℃ after sampling. The results of using each collection reagent and storage temperature on the bacteria were compared using relative light units (RLU) and the number of colony forming units (CFU). When using -70℃ storage temperature and the TE buffer, the number of living bacteria and the RLU values remained constant. It is therefore recommended that the sample be stored at -70℃ immediately after collection and a TE buffer solution be used as the collection reagent.

Modelling on the Carbonation Rate Prediction of Non-Transport Underground Infrastructures Using Deep Neural Network (심층신경망을 이용한 비운송 지중구조물의 탄산화속도 예측 모델링)

  • Youn, Byong-Don
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.4
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    • pp.220-227
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    • 2021
  • PCT (Power Cable Tunnel) and UT (Utility Tunnel), which are non-transport underground infrastructures, are mostly RC (Reinforced Concrete) structures, and their durability decreases due to the deterioration caused by carbonation over time. In particular, since the rate of carbonation varies by use and region, a predictive model based on actual carbonation data is required for individual maintenance. In this study, a carbonation prediction model was developed for non-transport underground infrastructures, such as PCT and UT. A carbonation prediction model was developed using multiple regression analysis and deep neural network techniques based on the actual data obtained from a safety inspection. The structures, region, measurement location, construction method, measurement member, and concrete strength were selected as independent variables to determine the dependent variable carbonation rate coefficient in multiple regression analysis. The adjusted coefficient of determination (Ra2) of the multiple regression model was found to be 0.67. The coefficient of determination (R2) of the model for predicting the carbonation of non-transport underground infrastructures using a deep neural network was 0.82, which was superior to the comparative prediction model. These results are expected to help determine the optimal timing for repair on carbonation and preventive maintenance methodology for PCT and UT.

A Study on the Quality Characteristics of Backsulgi Prepared with Combined Treatment of Enzyme and Trehalose (효소처리와 트레할로스를 첨가한 백설기의 품질 특성 변화 연구)

  • Lee, Eun-Suk;Doo, Hwa-Jin;Kim, Yong-Ro;Shim, Jae-Yong
    • Food Engineering Progress
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    • v.14 no.3
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    • pp.235-242
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    • 2010
  • This study was to investigate the combined effect of enzyme and trehalose addition on the retrogradation rate and quality changes in a Korean traditional rice cake, Backsulgi. As for the enzyme, a commercial maltogenic amylase, Novamyl, was used. From texture profile analysis and sensory tests, the optimum enzyme content for the preparation of Backsulgi was determined to be 0.1%. Backsulgi was prepared with the fixed content of Novamyl (0.1%) and different ratios (5, 10, 15%) of trehalose, and physicochemical and sensory properties were examined for 3 days of storage at ${25^{\circ}C}$. As trehalose content increased, the water activity of Backsulgi decreased. In Hunter's color value, L- and a-values of trehalose-added samples were significantly lower than those of control. In texture profile analysis, hardness of Backsulgi decreased with trehalose content. During storage, a increase in hardness and a decrease in cohesiveness were typically observed for all samples. However, those changes were significantly reduced with trehalose content. The retardation of retrogradation with the enzyme and trehalose addition was confirmed using calculated Avrami rate and time constants. These results revealed that combined treatments of 0.1% Novamyl and 10% trehalose could produce Backsulgi of better sensory quality with retarded retrogradation compared to separated treatment.

A Numerical Study on the Selection of Main Specification of the 18.5ft Bass Fishing Boat (18.5ft급 경기용 배스보트의 주요제원 선정에 관한 수치해석 연구)

  • Lim, Jun-Taek;Seo, Kwang-Cheol;Park, Geun-Hong;Kim, Sang-Won
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.7
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    • pp.945-952
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    • 2018
  • Recently, bass fishing has become a marine leisure sport in Korea. There are 4 major fishing associations in Korea, and each association holds 10-15 tournaments each year. However, supply of 17 ft bass boats, which are preferred in leagues, depends 100 % on imports. In this study, we have derived the main specifications to develop the initial hull forms of a 18.5ft bass boat through statistical analysis based on mothership data. In addition, CFD numerical analysis was carried out according to deadrise angle and longitudinal center of gravity, which strongly influenced the resistance and planing performance. For numerical analysis, design speed was set to $Fn=3.284 (Re=9.858{\times}10^7)$, the deadrise angle was set from 12 to $20^{\circ}$, and the longitudinal center of gravity was set in the range of 0 to $8%L_{wL}$ from the center of buoyancy to the stern. Based on the numerical results, we first set the range of these factors by resistance performance and immersion keel length. Furthermore, using a correlation graph of Savitsky's Drag-Lift ratio, we derived the deadrise angle ($14-16^{\circ}$) and longitudinal center of gravity ($4-6%L_{wL}$).

Optimization of anode and electrolyte microstructure for Solid Oxide Fuel Cells (고체산화물 연료전지 연료극 및 전해질 미세구조 최적화)

  • Noh, Jong Hyeok;Myung, Jae-ha
    • Korean Chemical Engineering Research
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    • v.57 no.4
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    • pp.525-530
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    • 2019
  • The performance and stability of solid oxide fuel cells (SOFCs) depend on the microstructure of the electrode and electrolyte. In anode, porosity and pore distribution affect the active site and fuel gas transfer. In an electrolyte, density and thickness determine the ohmic resistance. To optimizing these conditions, using costly method cannot be a suitable research plan for aiming at commercialization. To solve these drawbacks, we made high performance unit cells with low cost and highly efficient ceramic processes. We selected the NiO-YSZ cermet that is a commercial anode material and used facile methods like die pressing and dip coating process. The porosity of anode was controlled by the amount of carbon black (CB) pore former from 10 wt% to 20 wt% and final sintering temperature from $1350^{\circ}C$ to $1450^{\circ}C$. To achieve a dense thin film electrolyte, the thickness and microstructure of electrolyte were controlled by changing the YSZ loading (vol%) of the slurry from 1 vol% to 5 vol. From results, we achieved the 40% porosity that is well known as an optimum value in Ni-YSZ anode, by adding 15wt% of CB and sintering at $1350^{\circ}C$. YSZ electrolyte thickness was controllable from $2{\mu}m$ to $28{\mu}m$ and dense microstructure is formed at 3vol% of YSZ loading via dip coating process. Finally, a unit cell composed of Ni-YSZ anode with 40% porosity, YSZ electrolyte with a $22{\mu}m$ thickness and LSM-YSZ cathode had a maximum power density of $1.426Wcm^{-2}$ at $800^{\circ}C$.

A Study on Model Based Optimum Design of Oxidation Ditch in Sewage Treatment (산화구 하수처리공정의 최적설계에 관한 기초연구)

  • Dho, Hyonseung
    • Journal of Korean Society of Disaster and Security
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    • v.12 no.2
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    • pp.25-34
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    • 2019
  • The efficiency of sewage treatment was analyzed by statistical method based on the water quality and operation data of the sewage treatment plant applying the oxidation method. The obtained water quality data were pH, temperature, BOD, SS, T-N, ${NH_4}^+-N$, and T-P of influent and discharge water. Data analysis was performed by correlation analysis, ANOVA analysis, and cluster analysis. As a result of the statistical analysis, the influent flow rate in the sewage treatment plant was the highest in summer. The average inflow flow rate was $3.000m^3/s$. According to Box plot results, COD, and T-P concentrations of effluents were not significantly different from season to season. The Pearson correlation analysis showed strong positive correlation between BOD, COD, T-N, and T-P in influent flow. Seasonal BOD and T-N concentrations were highest in winter and COD and T-P in seasonal influences. BOD showed a strong negative correlation with the water temperature, but showed a positive correlation with other operating factors such as HRT, SRT and C/N. The higher the influent temperature, the lower the BOD concentration. Therefore, retention time was shortened and BOD treatment efficiency was lowered. It was found that T-N had a higher retention time and a higher concentration than DO concentration. On the other hand, T-P did not show a significant correlation with operating factors.

Evaluation of Formaldehyde Emission from Wood-Based Panels Using Accelerated Collection Method (가속 포집방법을 이용한 목질보드류의 폼알데하이드 방출량 평가)

  • Han, Hyun-jo;Lee, Seog-eon;Yang, Seung-min;Choi, Chul;Kang, Seog-goo
    • Journal of the Korean Wood Science and Technology
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    • v.47 no.2
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    • pp.129-144
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    • 2019
  • This study aimed at developing an accelerated collection method that reduces measurement and collection time by improving and complementing the desiccator method, which is mainly used for quality control in wood-based panels and furniture production sites. First, this study measured the formaldehyde emissions from the wood-based panels by grade using the desiccator method. Further, this study compared the desiccator method with the developed process and analyzed the correlation in optimal temperature, time, and exposed area. The results showed that the developed process resulted in relatively similar outcomes in comparison to the desiccator method when the temperature was $100^{\circ}C$, the time was 1 h, and two specimens were used, at which the correlation was high. To verify the developed process, this study commissioned Korea Conformity Laboratories with the standardized temperature, time, and the number of specimens to compare them with the specimen that was not used in the actual test. As a result, the correlation to the desiccator method was shown to be very high. However, the formaldehyde emission measured by the accelerated collection process was mostly higher than that measured by the desiccator method. The formaldehyde emission grades from several specimens were one level higher. However, from the perspectives of quality control, it was determined that the accelerated collection method developed in this study could be sufficiently used.

A Deep-Learning Based Automatic Detection of Craters on Lunar Surface for Lunar Construction (달기지 건설을 위한 딥러닝 기반 달표면 크레이터 자동 탐지)

  • Shin, Hyu Soung;Hong, Sung Chul
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.6
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    • pp.859-865
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    • 2018
  • A construction of infrastructures and base station on the moon could be undertaken by linking with the regions where construction materials and energy could be supplied on site. It is necessary to detect craters on the lunar surface and gather their topological information in advance, which forms permanent shaded regions (PSR) in which rich ice deposits might be available. In this study, an effective method for automatic detection of lunar craters on the moon surface is taken into consideration by employing a latest version of deep-learning algorithm. A training of a deep-learning algorithm is performed by involving the still images of 90000 taken from the LRO orbiter on operation by NASA and the label data involving position and size of partly craters shown in each image. the Faster RCNN algorithm, which is a latest version of deep-learning algorithms, is applied for a deep-learning training. The trained deep-learning code was used for automatic detection of craters which had not been trained. As results, it is shown that a lot of erroneous information for crater's positions and sizes labelled by NASA has been automatically revised and many other craters not labelled has been detected. Therefore, it could be possible to automatically produce regional maps of crater density and topological information on the moon which could be changed through time and should be highly valuable in engineering consideration for lunar construction.

Evaluation on the water supply stability of nakdong river basin based on future scenarios (미래 시나리오 기반 낙동강 유역의 용수공급 안정성 평가)

  • Choi, Si Jung;Kang, Seong Kyu;Lee, Dong-Ryul;Kang, Shin-Uk
    • Journal of Korea Water Resources Association
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    • v.51 no.spc
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    • pp.1105-1115
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    • 2018
  • In Korea, there are only a few cases that quantitative evaluate the impacts of climate change on water supply. Therefore, to ensure stable water supply in the future, a water resources plan is needed to establish by analyzing the scenarios that take into consideration the various situations in the future. In this study, we analyzed the changes of various situations for the Nakdong River basin, and constructed it for the future scenario. The stability of the water supply was analyzed through the analysis of water supply and demand prospect for each scenario path. We selected the areas expected to experience difficulty in supplying water supply and analyzed the scenarios of future water shortage by region and water sector. Also, the effect of increasing water supply capacity through optimal integrated operation of water supply facilities was analyzed and presented. Analysis of the results shows that there is a difficulty in supplying water due to future climate change experienced in the Nakdong River basin. Therefore it is necessary to prepare various countermeasures in order to mitigate or solve this problem.