Bae, HeeSun;Shin, Seungjae;Moon, Il-Chul;Bae, Jang Won
Journal of the Korea Society for Simulation
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v.30
no.1
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pp.113-126
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2021
The future energy consumption pattern will show a very different pattern from the present due to the increase of distributed power sources such as renewable energy and the birth of the concept of prosumers, etc. Accordingly, it can be predicted that the direction of establishment of an appropriate production and supply plan considering the stability and consumption efficiency of the entire power grid will also be different from now. This paper proposes a simulation model that can test a new operational strategy when faced with a number of possible future environments. Through the proposed model, it is possible to simulate and analyze power consumed and supplied in a future Smart Grid environment, in which a large amount of new concepts including energy storage service (ESS) and distributed energy resources (DER) will be added. In particular, it is possible to model complex systems structurally by using DEVS formalism among the ABM (Agent-Based Model) methodologies that can model decision-making for each agent existing in the grid, and several factors can be easily added to the grid. The simulation model was verified using given dataset in the current situation, and scenario analysis was performed by simply adding an ESS, one of the main elements of the smart grid, to the model.
Purpose: Fires that occur during construction are infrequent, but cause great damage. Recently, with the growth of the logistics and distribution industry, the number of construction sites for new logistics warehouses is increasing, so it was selected as a research subject and research was conducted to reduce accidents at construction sites through the development of a fire risk assessment tool to quantitatively approach fire prevention. Method: A comprehensive fire risk assessment tool was accumulated by classifying the work in progress, classifying combustibles and ignition sources by grade, excluding air (oxygen), which is difficult to control, and additionally substituting evacuation safety. Result: Using the developed and proposed fire risk evaluation tool, excavation work with low fire risk, facility construction with medium fire risk, and finishing work with high fire risk were sampled to derive the result (CGI). Conclusion: In this study, it was possible to establish specific preventive measures and evaluate evacuation safety by controlling physical conditions (combustibles) and energy conditions (ignition sources) according to the risk assessment by developing a tool that can evaluate the risk of 14fire occurrence at construction sites. It is expected that in the future, through the application of the fire risk evaluation tool at construction sites, it will be provided as a criterion for establishing a process plan that can reduce risk and evaluating the adaptability of firefighting equipment.14
The Shap granite encloses well developed quartz veins and veinlets containing molybdenite in association with other ore sulphide minerals. The preliminary study of the geochemical aspects of the granite stock and mineralisation of molybdenite in comparison with the porphyry deposits is carried out; the distribution of major, minor and ore metal elements in wall rocks, altered envelope and veins, and the molybdenum mineralisation, mainly in connexion with hydrothermal alteration are discussed. The molybdenite and other ore mineralisation, especially bismuthinite and chalcopyrite, are spatially closely related to the hydrothermal alteration adjacent to the veinings, and are dominant where the strong orthoclase alteration has taken place. A pattern of alteration and mineralisation can be recognised and forms the basic for the subdivision of the quarry into several distinct zones, which correspond with the sequence of alteration and mineralisation. The veins, veinlets and their alteration haloes can be further subdivided into a series of concentric zones.
The Characteristics of nocturnal temperature fields were analyzed to understand the factors of freezing-and-cold damages on orange orchards in Cheju Island. Temperatures were measured from January 7th through 27, 1995 at 25 sites in an area of 1x1.25$ extrm{km}^2$, Wasan-ri, Chochon-up, Pukcheju-kun located on the northeastern slope of Mt.Hanla. Several other weather elements such as wind and cloud were observed as supplementary data. Surface weather maps were also analyzed to clarify the influence of prevailing pressure patterns on the temperature fields. The vertical temperature profiles were obtained at the height from the ground up to 360 cm in 30 cm intervals at site 3, a frost hollow, and site 10 on the upper slope. The results show that freezing damages occured in the hollows, terrain depressions, rather than at the upper slope due to nocturnal radiation cooling as well as accumulation of cold airflow from Mt.Hanla. Windbreaks of densely planted Japanese ceders with stone-walls also roled as obstacles to the cold airflow in nights with Clear skies and light winds. The maximum intensity of temperature inversion in hollows, quasi-cold air lake, was 3.1$^{\circ}C$. Cold air from Mt.Hanla was trapped in the depressions up to a height of 90cm forming frost pocket. Man-made facilities such as shelterbelt or stone-wall which are built to prevent the penetration of cold north-westeries in winter aggravated the cold damage. The differance of daily minimum temperatures between before and behind shelterbelts was 2.$0^{\circ}C$. The man-made convection by smudgin which raised the temperatures up to 3.8$^{\circ}C$ can reduce the cold damage in the hellows.
Hong, Woong-Gil;Hwang, Kyung-Jun;Jeong, Gyeong-Won;Yoon, Soon-Do;Shim, Wang Geun
Applied Chemistry for Engineering
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v.31
no.2
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pp.179-186
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2020
In this study, chitosan/zeolite composites were prepared by using basalt-based zeolite impregnated with aqueous chitosan solution for the adsorptive separation of CO2. The prepared composites were characterized by scanning electron microscopy (SEM), Fourier-transform infrared (FT-IR) spectroscopy, thermogravimetric analysis (TGA), X-ray photoelectron spectroscopy (XPS), and nitrogen adsorption analysis. In addition, the adsorption equilibrium isotherms for CO2 and N2 were measured at 298 K using a volumetric adsorption system, and the results were analyzed by applying adsorption isotherm equations (Langmuir, Freundlich, and Sips) and energy distribution function. It was found that CO2 adsorption capacities were well correlated with the structural characteristics of chitosan and zeolite, and the ratio of elements [N/C, Al/(Si + Al)] formed on the surface of the composite. Moreover, the CO2/N2 adsorption selectivity was calculated under the mixture conditions of 15 V : 85 V, 50 V : 50 V, and 85 V : 15 V using the Langmuir equation and the ideal adsorption solution theory (IAST).
Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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2014.10a
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pp.25-48
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2014
Increased frequency of climate extremes is another face of climate change confronted by humans, resulting in catastrophic losses in agriculture. While climate extremes take place on many scales, impacts are experienced locally and mitigation tools are a function of local conditions. To address this, agrometeorological early warning systems must be place and location based, incorporating the climate, crop and land attributes at the appropriate scale. Existing services often lack site-specific information on adverse weather and countermeasures relevant to farming activities. Warnings on chronic long term effects of adverse weather or combined effects of two or more weather elements are seldom provided, either. This lecture discusses a field-specific early warning system implemented on a catchment scale agrometeorological service, by which volunteer farmers are provided with face-to-face disaster warnings along with relevant countermeasures. The products are based on core techniques such as scaling down of weather information to a field level and the crop specific risk assessment. Likelihood of a disaster is evaluated by the relative position of current risk on the standardized normal distribution from climatological normal year prepared for 840 catchments in South Korea. A validation study has begun with a 4-year plan for implementing an operational service in Seomjin River Basin, which accommodates over 60,000 farms and orchards. Diverse experiences obtained through this study will certainly be useful in planning and developing the nation-wide disaster early warning system for agricultural sector.
Customer engagement refers to the physical and emotional connection between customers and brands. If the customer's degree of engagement is high, they purchase more, promote more, and show more loyalty. This study suggests the following implications, starting from the assumption that engagement with various service activities in universities can increase loyalty to departments and Universities. In university services, customer engagement plays a important role in strengthening college loyalty after college students are satisfied with university. Although it has an effect on university satisfaction, it can play a big role in increasing the loyalty of marketing goals at a higher level after satisfaction. Among the central factors of university service engagement, it was found that students could increase their department and university loyalty through capacity building and job-related activities for future employment, and among the surrounding factors, friendship activities were a very important factor in department or school loyalty. It can be said that it is of paramount importance to establish a system that can strengthen loyalty through various programs that can build friendships with students. Further research did not verify the moderating effect of service engagement among student groups, but the high-credit group was found to have a very high degree of engagement not only in the central cues but also in the peripheral cues, which is thought to reverse the common sense that high-credit students will be relatively less immersed in the peripheral elements.
Korean Journal of Agricultural and Forest Meteorology
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v.16
no.4
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pp.403-417
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2014
Increased frequency of climate extremes is another face of climate change confronted by humans, resulting in catastrophic losses in agriculture. While climate extremes take place on many scales, impacts are experienced locally and mitigation tools are a function of local conditions. To address this, agrometeorological early warning systems must be place and location based, incorporating the climate, crop and land attributes at the appropriate scale. Existing services often lack site-specific information on adverse weather and countermeasures relevant to farming activities. Warnings on chronic long term effects of adverse weather or combined effects of two or more weather elements are seldom provided, either. This lecture discusses a field-specific early warning system implemented on a catchment scale agrometeorological service, by which volunteer farmers are provided with face-to-face disaster warnings along with relevant countermeasures. The products are based on core techniques such as scaling down of weather information to a field level and the crop specific risk assessment. Likelihood of a disaster is evaluated by the relative position of current risk on the standardized normal distribution from climatological normal year prepared for 840 catchments in South Korea. A validation study has begun with a 4-year plan for implementing an operational service in Seomjin River Basin, which accommodates over 60,000 farms and orchards. Diverse experiences obtained through this study will certainly be useful in planning and developing the nation-wide disaster early warning system for agricultural sector.
As there is impulsive buying that is pervasive phenomenon in the clothing consumption area, many academics and practitioners have been interested in it. Although prior studies have provided useful insights for understanding and predicting consumers' impulsive behavior, the findings do not clearly explain why different consumers influence impulsive behavior differently even when presented with the same shopping environment. Regulatory focus theory (Higgins, 1987, 1997, 2001) provides an insight for better understanding of consumers' impulsive responses to the elements of shopping experience. Thus, the purpose of our research was to understand the effect of consumers' regulatory focus (i.e., promotion focused vs. prevention focused) on their shopping experiences and impulsive behavior. A total of 157 data collected from female consumers lived in Ulsan and Pusan was used for this study. The results were as follows: First, sensitive experience and emotional experience have significantly positive effects on impulsive buying, but rational experience does significantly negatively effects on it. Second, to test the moderating effects of consumers' regulatory focus, responses were divided into two groups including promotion-focused group (n = 91) and prevention-focused group (n = 66) based on the relative strength of one type of their regulatory focus, which was introduced by Higgins (2001). Multiple regression analysis (independent variables: shopping experience, dependant variable: impulsive buying) was run within each group. The results showed that for the promotion-focused group, sensitive and emotional experience have significantly positive effects on impulsive buying. For prevention focused group, sensitive experience has significantly positive effects on impulsive buying and rational experience does significantly negatively effects on it. Chow's and Fisher's z-test were confirmed that the relationship between shopping experience and impulsive buying behavior was significantly different depending on consumers' regulatory focus.
The purpose of this study is to develope a forecasting model to implement short-term Congestion Management Program (CMP) based on TDM strategies in Seoul. The CMP is composed of three elements: 1) setting a goal of short-term traffic management. 2) developing a model to forecast the impacts of TDM alternatives, and 3) finding TDM measures to achieve the goal To Predict the impacts of TDM alternatives, a model called SECOMM (SEoul COngestion Management Model) is developed. The model assumes that trip generation and distribution are not changing in a short term, and that only mode split and traffic assignment are affected by TDM. The model includes the parameter values calibrated by a discrete mode choice model, and roadway and transit networks with 1,020 zones. As a TDM measure implement, it affects mode choice behavior first and then the speeds of roadway network. The chanced speed again affects the mode choice behavior and the roadway speeds. These steps continue until the network is equilibrated. The study recommends that CMP be introduced in Seoul, and that road way conditions be monitored regularly to secure the prediction accuracy of SECOMM. Also, TDM should be the major Policy tools in removing short-term congestion problems in a big city.
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