• Journal of Family Resource Management and Policy Review
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• v.25 no.2
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• pp.13-24
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• 2021

The purpose of this study was to prepare basic data to set the support direction for low-income households in a socioeconomic crisis situation. The study examined the effect of socioeconomic deprivation experience on the longitudinal changes in family conflict and family relationship satisfaction of low-income households. Using five-year data from the 10th to 14th sessions of the Korean Welfare Panel, we examined the longitudinal changes in family conflict and family relationship satisfaction, and the effect of socioeconomic deprivation experience from the reponses of 803 low-income households. We found that the family conflict of low-income households decreased to a weak level with the change of time, and the rate of change in family relationship satisfaction was not meaningful. In the case of families who experienced early socioeconomic deprivation, their initial value of family conflict was higher than that of inexperienced households, and the rate of change was not significant. The results of this study show that when low-income households experience socioeconomic deprivation, they feel psychological pressure and an increase in family anxiety, resulting in high family conflict and low family relationship satisfaction. On the basis of the study results, we recommend extending economic and social assistance to low-income households in the current socioeconomic crisis. The state is also encouraged to help families manage conflicts on their own and resolve problems.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.591-598
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• 2021

The digital phase-locked loops(DPLL) is a circuit used for phase synchronization and has been generally used in various fields such as communication and circuit fields. State estimators are used to design digital phase-locked loops, and infinite impulse response state estimators such as the well-known Kalman filter have been used. In general, the performance of the infinite impulse response state estimator-based digital phase-locked loop is excellent, but a sudden performance degradation may occur in unexpected situations such as inaccuracy of initial value, model error, and disturbance. In this paper, we propose a minimum variance finite impulse response filter with optimal horizon for designing a new digital phase-locked loop. A numerical method is introduced to obtain the measured value interval length, which is an important parameter of the proposed finite impulse response filter, and to obtain a gain, the covariance matrix of the error is set as a cost function, and a linear matrix inequality is used to minimize it. In order to verify the superiority and robustness of the proposed digital phase-locked loop, a simulation was performed for comparison and analysis with the existing method in a situation where noise information was inaccurate.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.56-66
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• 2021

In this study, a waste heat recovery system was devised and the performances of components incorporated to recover the heat generated during the processing of aerobic liquid-composting in a livestock manure treatment facility were analyzed. In addition, the availability of recovered heat was confirmed. The heat generated by liquid fermentation in the livestock manure treatment facility was also checked. Experimental temperatures were set at 35, 40, and 45 ℃ based on considerations of the uniformity of aerobic liquid-composting fermentation tank temperature and its operating range (34.5 ~ 43.9 ℃). Recovered heat energies from the combined heat exchanger, which consisted of PE and STS pipes, were 53.5, 65.6, 74.4 MJ/h, The heat pump of capacity 5 RT was heated at 95.6, 96.1, 98.9 MJ/h and the heating COPs of the pump were 4.53, 4.62, and 4.65, respectively. The maximum hot water production capacity of the heat exchanger assuming a fermentation tank temperature of 45 ℃ confirmed an energy supply of 56 360 kcal/day. The heating capacity of the FCU linked to the heat storage tank was 20.8 MJ/h, and the energy utilization efficiency was 96.1%. When livestock manure was dried using the FCU, it was confirmed that the initial function rate was reduced by 50.5 to 45.8 % after drying.

• Journal of Korean Theatre Studies Association
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• no.52
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• pp.359-397
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• 2014

This paper describes dramatherapy with a bulmina nervosa patient. She was in her early 20s and has been under the various psychotherapies for cure of deep depression since 2005. We had 24 sessions and 3 persons - the patient, the therapist, and the assist-therapist- participated in dramatherapy. I found there's a big collision between her important roles in the course of initial interview and diagnosis. Those roles are 'a good daughter of mom' and 'an independent adult'. Therefore I defined her bulmina nervosa as 'an symbolic behavior repeats compulsively the failure of separation from her mother.' And I set the general goals, the separation from her mother, the awareness and expression of negative emotions, and the diminuation of overeating and vomiting. To attain these object, we had many different dramatic experiences in dramatherapy. We made a self-portrait, the mask of bulmina nervosa, family sculpture, figure work, the past I and the present I, psychodramatic scene and several stories. In order to objective assessment, I used behavioral observation and 6PSM(6 Pieces Story Making) analysis. First of all the most noticeable change was a rapid decrease in over-eating and vomiting. Before the dramatherapy she had overeaten 30 times per week. At the closure it has fallen off to 1 time per week. Another behavioral changes were shift of outward appearance, not going church, working for living, and having a date with only one. She made 3 stories on 1th session, 13th session, and 23th session. And I comparatively analysed those stories with both qualitative and quantitative method. For qualitative analysis, I classified 5 structures according to the substantial similrarity. On protagonist structure, there's no difference. Three protagonists are dead things. The type of task structure is changed from an escape, a traveling, to metamorphosis. The type of obstruction structure is changed from the protagonist to an outside object. The type of closure structure is changed from an exaggerated happy ending, sad ending to probable happy ending. To quantitify the aspects of transformation, I developed an assesment tool using likert scale. It is composed of 4 sub-categories-reality testing, imagination, ego-strength, optimism problem-solving. In reality testing category, a shift of score was 9-11-15, imagination 2-5-5, ego strength 3-2-2, optimism 6-3-7, and total score 20-21-29. This change of score reflects the growth of problem solving capacity. Viewed in this light, dramatherapy with this girl was successful on the whole. The thing had significant effect on it was psycho-dynamic approach focused on separation from her mother and defence mechanism to avoid negative emotion. And assessment method used in this case will be full of suggestions to researches to come.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.443-450
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• 2019

We studied to find the optimal manufacturing conditions of coffee grounds sludge RDF with oil drying method. We expanded the lab scale to pilot scale to compare the efficiency of the oil-drying equipment and The selection of the ratio of coffee grounds and oil, the setting temperature, and the temperature change and water content with time were measured. In order to analyze the characteristics of the research results, characteristics of solid fuels produced(Coffee grounds of oil-dried) by calorimeter, TGA, combustion equipment, and combustion gas measuring instrument were analyzed. As a result, the ratio of oil to coffee grounds was 4: 1, and when the setting temperature was set to $300^{\circ}C$, the water content reached 10wt.% or less within 20 minutes. ln addition, it showed high calorific value of 6,273kcal/kg. However, coffee grounds had a similar composition to wood and showed high luminance and produced a lot of CO in combustion gas. As a result, it is considered to be unsuitable for thermoelectric power plant and camping fuel, but the initial ignition speed is high and the heat generation is high, so it is considered that it can replace the fuels for current use.

• Journal of Climate Change Research
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• v.8 no.4
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• pp.305-312
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• 2017

We aimed at investigating the difference in $N_2O$ emission factors of chemical and organic fertilizers and identifying the main factors influencing annual fluctuations in $N_2O$ emission. We conducted two-year experiments in 2016 and 2017 in an agricultural field planted with sweet potato (Ipomoea batatas). Treatments included chemical NPK fertilizer (NPK) and chicken compost application at $10\;ton\;ha^{-1}$, $20\;ton\;ha^{-1}$, and $30\;ton\;ha^{-1}$ rates (CK1, CK2 and CK3). Control was also employed with no addition. Results showed that $N_2O$ emission rates were significantly related with soil water status and soil available N contents. Significant correlation between % water filled pore space (WFPS) and $N_2O$ emission was observed only when the %WFPS was greater than 40% and during the initial stage of the experiment (<60 d). Comparison of the emission factors in 2016 and 2017 showed us that the emission factor was greater in 2016 when the %WFPS was maintained higher by 16.5% compared to that in 2017. In 2016, the emission factor of organic fertilizer was higher than that of chemical fertilizer, while in 2017, the pattern was reversed. Annual variability in $N_2O$ emission could also be originated from the available N contents remaining in soil after being taken up by plants. If we apply excessive N fertilizer, the soil would contain excess amount of N which was not uptaken by plants, leading to a huge increase in $N_2O$ emission. This case would overestimate emission factor, which was the case for the organic fertilizer in 2016. Over-fertilization should be avoided when we set up an experiment to determine $N_2O$ emission factor.

• Journal of Korean Society of Water and Wastewater
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• v.33 no.1
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• pp.17-29
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• 2019

This study developed prediction models of chlorine bulk decay coefficient by each condition of water quality, measuring chlorine bulk decay coefficients of the water and water quality by water purification processes. The second-reaction order of chlorine were selected as the optimal reaction order of research area because the decay of chlorine was best represented. Chlorine bulk decay coefficients of the water in conventional processes, advanced processes before rechlorination was respectively $5.9072(mg/L)^{-1}d^{-1}$ and $3.3974(mg/L)^{-1}d^{-1}$, and $1.2522(mg/L)^{-1}d^{-1}$ and $1.1998(mg/L)^{-1}d^{-1}$ after rechlorination. As a result, the reduction of organic material concentration during the retention time has greatly changed the chlorine bulk decay coefficient. All the coefficients of determination were higher than 0.8 in the developed models of the chlorine bulk decay coefficient, considering the drawn chlorine bulk decay coefficient and several parameters of water quality and statistically significant. Thus, it was judged that models that could express the actual values, properly were developed. In the meantime, the chlorine bulk decay coefficient was in proportion to the initial residual chlorine concentration and the concentration of rechlorination; however, it may greatly vary depending on rechlorination. Thus, it is judged that it is necessary to set a plan for the management of residual chlorine concentration after experimentally assessing this change, utilizing the methodology proposed in this study in the actual fields. The prediction models in this study would simulate the reduction of residual chlorine concentration according to the conditions of the operation of water purification plants and the introduction of rechlorination facilities, more reasonably considering water purification process and the time of chlorination. In addition, utilizing the prediction models, the reduction of residual chlorine concentration in the supply areas can be predicted, and it is judged that this can be utilized in setting plans for the management of residual chlorine concentration.

• Journal of Korean Society of Archives and Records Management
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• v.19 no.3
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• pp.293-300
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• 2019

Gyeongsangnam-do Archives is the first permanent record management organization built in the province. In 2007, the Local Archives Management Agency was obliged to establish under the "Public Archives Management Act," and it was not until about 10 years after that the first plan was made for the construction of all 17 attempts. Unlike the initial plan, many parts of the building were reduced because of the building remodeling; nonetheless, the construction was successful. The Gyeongsangnam-do Archives, which first came to the fore in Gyeongnam, is constantly committed to the development of records management and the spread of recording culture from 2014 to 2019. However, the first time was unfamiliar and difficult because of many challenges. Furthermore, it is necessary to carry out various tasks that have been set aside such as the actual implementation of declarative laws and realization of the spread of the recording culture with citizens. Therefore, the first trial may require more responsibility than glory. As the researcher, I will manage various tasks and results of the work done at Gyeongsangnam-do Archives, as well as record every day to be recognized as a leader and director of spreading the recording culture.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.887-895
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• 2018

This paper presents a braking model that can be used to design the safety distance of a train control system and a train braking system to increase the volume of traffic. For the braking model, a train set (electric multiple unit composed 6 cars) was tested. The factors that can affect the braking characteristics include the friction coefficient, braking pressure, and regenerative braking. The braking pressure was classified into service and emergency braking and reflected the characteristics of the vehicle. The external force acting on the running railway car was tested in accordance with KS R 9217, and the running resistance of the train is presented in the form of a polynomial. The dynamic behavior of the train running on a straight flat line was simulated using UM 8.3. The results were validated with experimental data, and the results were reasonable. With the validated model, a stopping distance was determined according to the initial braking speed and compared with the deceleration braking model. In addition, a safety distance for the train control system could be changed according to the frictional coefficient limits. These results are expected to be useful for analyzing the dynamic behavior of trains, and for analyzing various railway environments and improving the braking performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.58-64
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• 2021

As the number of registered vehicles increases, traffic congestion will worsen worse, which may act as an inhibitory factor for urban social and economic development. Through accurate traffic flow prediction, various AI techniques have been used to prevent traffic congestion. This paper uses the data from a VDS (Vehicle Detection System) as input variables. This study predicted traffic flow in five levels (free flow, somewhat delayed, delayed, somewhat congested, and congested), rather than predicting traffic flow in two levels (free flow and congested). The Catboost model, which is a machine-learning algorithm, was used in this study. This model predicts traffic flow in five levels and compares and analyzes the accuracy of the prediction with other algorithms. In addition, the preprocessed model that went through RandomizedSerachCv and One-Hot Encoding was compared with the naive one. As a result, the Catboost model without any hyper-parameter showed the highest accuracy of 93%. Overall, the Catboost model analyzes and predicts a large number of categorical traffic data better than any other machine learning and deep learning models, and the initial set parameters are optimized for Catboost.