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Effect of Acid Treatments on Hydrogen Storage Behaviors of Ordered Mesoporous Carbons
이슬이(Lee, Seul-Yi),박수진(Park, Soo-Jin) 한국신재생에너지학회 2010 한국신재생에너지학회 학술대회논문집 Vol.2010 No.06
We investigated the effect of chemical acid treatments on hydrogen storage behaviors of the ordered mesoporous carbons (MCs). The surface functional groups and specific elements of the MCs were characterized with Fourier Transform Infrared (FT-IR) spectrometry and X-ray photoelectron spectroscopy (XPS). Also, the changes in the surface functional groups of the MCs were quantitatively detected by Boehm's titration method. The structural properties of the MCs were investigated using X-ray diffraction (XRD). The hydrogen adsorption capacity of the MCs was evaluated by means of adsorption isotherms at 77 K/1 bar. The formation of surface functional groups by the acidic treatments could influence on the hydrogen storage capacity of the MCs.
Effect of Nickel Oxide on Hydrogen Storage Behaviors of Mesoporous SBA-15
이슬이(Lee, Seul-Yi),박수진(Park, Soo-Jin) 한국신재생에너지학회 2009 한국신재생에너지학회 학술대회논문집 Vol.2009 No.11
In this work, we prepared the Ni-loaded porous SBA-15 (SBA-15) by a depositionprecipitation (D-P) method, in order to enhance the hydrogen storage capacity. The structure and morphology of the Ni/SBA-15 were characterized by X-ray diffraction (XRD) and field emission transmission electron microscopy (FE-TEM). The results showed that, at the Ni loading used at the DP times in the range of 0-120 min, SBA-15 preserved the well-ordered hexagonal porous arrangement. The textural properties of the Ni/SBA-15 were analyzed using N2 adsorption isotherms at 77 K. Specific surface area and mesopore volume of the samples were determined from the Brunauer-Emmett-Teller (BET) equation and Barrett-Joiner-Halenda (BJH) method, respectively. The hydrogen storage capacity of the Ni/SBA-15 was evaluated at 298 K/10 MPa. The hydrogen storage capacity of the Ni/SBA-15 was increased in accordance with Ni content. Consequently, it was found that the presence of Ni on mesoporous SBA-15 created hydrogen-favorable sites which enhanced the hydrogen storage capacity by spillover effect.
Effect of Magnesium Nanoparticles on Graphite Oxide for Hydrogen Storage Behaviors
이슬이(Lee, Seul-Yi),박수진(Park, Soo-Jin) 한국신재생에너지학회 2011 한국신재생에너지학회 학술대회논문집 Vol.2011 No.05
In this work, we prepared Mg nanoparticles loaded graphite oxide (Mg-G) as a function of Mg content in order to investigate hydrogen storage behaviors. The structure and morphology of the Mg-G samples were characterized by X-ray diffraction (XRD) and field emission scanning electron microscopy (FE-SEM). The textural properties of the samples were evaluated using N₂/77 K adsorption isotherms. The hydrogen adsorption capacities were investigated at 298 K/10 MPa. As a result, the hydrogen adsorption capacities of the Mg-G were enhanced with increasing the Mg content. Therefore, it was found that the presence of Mg on graphite surfaces created hydrogen-favorable sites, resulting in enhancing the hydrogen adsorption capacity.
이슬이(Lee, Seul-Yi),신은경(Shin, Eun-Kyung),김세용(Kim, Sei-Yong) 대한건축학회 2014 대한건축학회논문집 Vol.30 No.12
Urban transportation system is usually interactive with land use planning. Therefore, urban characteristics should be taken account to facilitate bicycle use in an urban area. The former way of drawing out traffic density projection was considered to be inadequate since by force of habit, transportation planning and complex development did not impose simultaneously but in a particular sequence. This study aims to establish an activation plan for the Public bicycles use and draw out factors for bicycle station’s selection of location through analyzing space correlation between urban characteristics and the usage of the Public bicycles. The analyzed result in the case of Changwon-si shows that there is a spatial autocorrelation between two factors. Moreover, it also arrived at the conclusion that Spatial Lagged Model and Spatial Error Model has 10% higher relevancy than Ordinary Least Square. The operation of Spatial Lagged Model arranges factors in order of correlation: main facility’s total floor area, public transportation density, traffic accident rate, and population density.
Preparation and Characterization of Ultramicroporous Carbons for Hydrogen Storage
이슬이(Lee, Seul-Yi),박수진(Park, Soo-Jin) 한국신재생에너지학회 2011 한국신재생에너지학회 학술대회논문집 Vol.2011 No.05
In this work, we prepared ultramicroporous carbons (UC) prepared by pyrolyzing poly(vinylidene fluoride) with different carbonization temperatures, and investigated the hydrogen storage behaviors. The surface functional groups and specific elements of UC were confirmed by Fourier-transform infrared spectroscopy (FT-IR) and X-ray photoelectron spectroscopy (XPS), respectively. Textural properties were analyzed using N₂ adsorption isotherms at 77 K. The hydrogen storage capacity of the UC samples were investigated by BEL-HP at 298 K/10 MPa. From the results, it was found that the hydrogen storage capacity was enhanced with increasing of specific surface area, resulting from the formation of ultramicropore on the UC.
가정법원 건축계획에 관한 연구 - 민원인 구역을 중심으로 -
이슬이(Lee, Seul-Yi),윤동식(Yoon, Dong-Sik) 대한건축학회 2023 대한건축학회 학술발표대회 논문집 Vol.43 No.1
Family courts allow cases to be resolved through mediation and reconciliation, not only through the function of the judicial system. It provides judicial services differentiated from ordinary courts and is seeking changes so that visiting civil petitioners can experience an open and friendly court. The family court after 2010 was designated as an example, and the civil petitioner district, which best shows the characteristics pursued by the family court, was divided and analyzed. It is expected to be used as data for further research on the construction plan of the family court in the future.
데이터 분석을 통한 UX 방법론 연구 고객 세그먼트 분류를 통한 페르소나 도출을 중심으로
이슬이(Seul-Yi Lee),박도형(Do-Hyung Park) 한국지능정보시스템학회 2021 지능정보연구 Vol.27 No.1
As the information technology industry develops, various kinds of data are being created, and it is now essential to process them and use them in the industry. Analyzing and utilizing various digital data collected online and offline is a necessary process to provide an appropriate experience for customers in the industry. In order to create new businesses, products, and services, it is essential to use customer data collected in various ways to deeply understand potential customers needs and analyze behavior patterns to capture hidden signals of desire. However, it is true that research using data analysis and UX methodology, which should be conducted in parallel for effective service development, is being conducted separately and that there is a lack of examples of use in the industry. In thiswork, we construct a single process by applying data analysis methods and UX methodologies. This study is important in that it is highly likely to be used because it applies methodologies that are actively used in practice. We conducted a survey on the topic to identify and cluster the associations between factors to establish customer classification and target customers. The research methods are as follows. First, we first conduct a factor, regression analysis to determine the association between factors in the happiness data survey. Groups are grouped according to the survey results and identify the relationship between 34 questions of psychological stability, family life, relational satisfaction, health, economic satisfaction, work satisfaction, daily life satisfaction, and residential environment satisfaction. Second, we classify clusters based on factors affecting happiness and extract the optimal number of clusters. Based on the results, we cross-analyzed the characteristics of each cluster. Third, forservice definition, analysis was conducted by correlating with keywords related to happiness. We leverage keyword analysis of the thumb trend to derive ideas based on the interest and associations of the keyword. We also collected approximately 11,000 news articles based on the top three keywords that are highly related to happiness, then derived issues between keywords through text mining analysis in SAS, and utilized them in defining services after ideas were conceived. Fourth, based on the characteristics identified through data analysis, we selected segmentation and targetingappropriate for service discovery. To this end, the characteristics of the factors were grouped and selected into four groups, and the profile was drawn up and the main target customers were selected. Fifth, based on the characteristics of the main target customers, interviewers were selected and the In-depthinterviews were conducted to discover the causes of happiness, causes of unhappiness, and needs for services. Sixth, we derive customer behavior patterns based on segment results and detailed interviews, and specify the objectives associated with the characteristics. Seventh, a typical persona using qualitative surveys and a persona using data were produced to analyze each characteristic and pros and cons by comparing the two personas. Existing market segmentation classifies customers based on purchasing factors, and UX methodology measures users behavior variables to establish criteria and redefine users classification. Utilizing these segment classification methods, applying the process of producinguser classification and persona in UX methodology will be able to utilize them as more accurate customer classification schemes. The significance of this study is summarized in two ways: First, the idea of using data to create a variety of services was linked to the UX methodology used to plan IT services by applying it in the hot topic era. Second, we further enhance user classification by applying segment analysis methods that are not currently used well in UX methodologies. To provide a consistent experience in creating a single service, from large to s