• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.163-180
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• 2022

Real estate data can be big data. Because the amount of real estate data is growing rapidly and real estate data interacts with various fields such as the economy, law, and crowd psychology, yet is structured with complex data layers. The existing Relational Database tends to show difficulty in handling various relationships for managing real estate big data, because it has a fixed schema and is only vertically extendable. In order to improve such limitations, this study constructs the real estate data in a Graph Database and verifies its usefulness. For the research method, we modeled various real estate data on MySQL, one of the most widely used Relational Databases, and Neo4j, one of the most widely used Graph Databases. Then, we collected real estate questions used in real life and selected 9 different questions to compare the query times on each Database. As a result, Neo4j showed constant performance even in queries with multiple JOIN statements with inferences to various relationships, whereas MySQL showed a rapid increase in its performance. According to this result, we have found out that a Graph Database such as Neo4j is more efficient for real estate big data with various relationships. We expect to use the real estate Graph Database in predicting real estate price factors and inquiring AI speakers for real estate.

• Korean Institute of Interior Design Journal
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• v.19 no.3
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• pp.136-144
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• 2010

Since most domestic apartment, built in bearing wall system limiting variability of space, in spite of its good durability, cannot accept life style change and is being wasted, dumped scraps of which cause environmental pollution and waste of resources. As a response for this, researches on sustainable housing, that is, 'long-life housing' which has high durability, and variability responding life style change of the resident are in progress in and out of country. Therefore, this article aims, in suggesting the various status appearing on apartment and the interior plan responding the problem, to research on the house plan in the future which can be used continuously instead consuming type of apartment shortly used and discarded with understanding of long-life housing developed in foreign countries, and grasping the factors of application plan. Various reports from previous researches were comparatively analyzed and the studies on the characteristics, the real examples and the types of the surfaces were performed on the experimental model of long-life housing and similar residential surfaces to find the concept to be applied to Long-Life Housing and the introduction method of such concept. This article tries not only to prevent 'scarp and build', the serious cause of environmental pollution, but also to be basic materials for interior construction plan afterwards through 'long-life housing interior design plan' as the new conception which can accept life style and life cycle change.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.243-249
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• 2019

The purpose of this study is to investigate the factors affecting the respect for life of nursing students and to prepare the basic data for developing educational programs to establish proper awareness of the life of nursing students and nurturing it. This is a descriptive research study. A total of 146 nursing students were included in this study. Data analysis was performed using t-test, ANOVA, Pearson correlation coefficients, and multiple regression. The results of this study confirmed the meaning of life, spiritual wellbeing, and attitude toward death as factors influencing respect and will for life. The explanatory power of these three factors was 26.3%. Therefore, nursing students will be able to cultivate respect for life by increasing their understanding of the meaning of life, improving their level of spiritual well-being, and reducing their negative attitudes about death. Also, in order to improve the respect for life of nursing students, it will be possible to develop an intervention program to improve life respect including the factors identified in this study. Ultimately, it is expected to grow into a nurse who can provide real help to patients who are at the end of life or who are dying.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1208-1217
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• 2009

This research was conducted in an attempt to understand changes and growths of the self in on-line game world. Q methodology was used to investigate players in Mabinogi, which is an on-line game(MMORPG). Based on 57 behavior statements, Players distributed their changing experiences from when they were novices in on-line game world to the current state. In early start phase, they recognized that on-line game world was different from the reality. And they perceived their experiences in on-line game as separated from the real ones. However, as they spend more time in on-line game world, they began to realized that on-line game world is as real as the world because they function as an individual living in a society in both the game and the real world. They felt and learned that in on-line game life, they also need to follow the rules and order. In addition, trust and politeness were essential in order to live with other players. As time passed, the players realized that on-line game experiences have the same meanings and values as the real life ones. 3 types of self-changing patterns were found : Achievement change, Control change, and Relation change. The behavior patterns of the 3 types were then compared to Identify similarities and differences amongst them in psychological meanings and values in the on-line game life. This result illustrates that on-line game world can be defined as new behavioral setting or developmental context established by digital technology. In this new setting, people can experiment and understand their behavior patterns and also experience changes and growths of the self.

• Journal of Microbiology and Biotechnology
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• v.17 no.8
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• pp.1390-1393
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• 2007

In this study, three of the representative EDCs, $17{\beta}$-estradiol, bisphenol A, and styrene, were employed to find their mode of toxic actions in E. coli. To accomplish this, four different stress response genes, recA, katG, fabA, and grpE genes, were used as a representative for DNA, oxidative, membrane, or protein damage, respectively. The expression levels of these four genes were quantified using a real-time RT-PCR after challenge with three different EDCs individually. Bisphenol A and styrene caused high-level expression of recA and katG genes, respectively, whereas $17{\beta}$-estradiol made no significant changes in expression of any of those genes. These results lead to the classification of the mode of toxic actions of EDCs on E. coli.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.3059-3064
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• 2011

A Trolley line is a very important equipment among electric railway equipments since it contacts directly with pantograph and supplies electricity on the electromotive. Such it was thought that a trolley line need not to consider fatigue since the replace cycle by wear is shorter than the replace cycle by fatigue breakage. But, the bending fatigue breakage accidents occurred several times at the Shinkansen trolley line in East Japan Railway Company. Therefore, in case of a new developed trolley line, the evaluation for bending fatigue life became more important, But, since there are not an authorized fatigue test method and a testing device for the trolley line, the quantitative evaluation is difficult. In this study, we analyzed the load and environment condition of trolley line used in the actual spot and the developed testing device that can evaluate bending fatigue properties of the trolley line as simulating the real condition. The bending fatigue test of the trolley line was achieved using the developed testing device and estimated the fatigue life of trolley line and also, established the fatigue test process.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1115-1120
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• 2003

The present paper shows the possible development of particle swarm optimization (PSO) based fuzzy-neural networks (FNN) which can be employed as an important building block in real life robot systems, controlled by voice-based commands. The PSO is employed to train the FNNs which can accurately output the crisp control signals for the robot systems, based on fuzzy linguistic spoken language commands, issued by an user. The FNN is also trained to capture the user spoken directive in the context of the present performance of the robot system. Hidden Markov Model (HMM) based automatic speech recognizers are developed, as part of the entire system, so that the system can identify important user directives from the running utterances. The system is successfully employed in a real life situation for motion control of a redundant manipulator.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.16
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• pp.6929-6934
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• 2015

Background: Real life management of hepatocellular carcinoma occasionally deviates from guidelines for recommended therapy. Aims: To evaluate how frequent this deviation happens in our center and assess its impact on outcome. Materials and Methods: The treatment of 770 patients (87% males, mean age 57.8 years) was analyzed and the effect of deviation on outcome over 36 months was examined. Results: Of Barcelona Clinic liver cancer stages 0 and A patients, 65.8% received resection, ablation, liver transplantation or transarterial chemoembolisation for unresectable tumors more than 5 cm in diameter, and 34.2% received treatment recommended for later stages. Of stage B patients, 62.2% received recommended therapy, 34.3% of patients received supportive therapy or sorafenib and 3.5% received upward treatment stage migration. Among stage C patients, 7.6% received sorafenib, and most (79.2%) were given supportive care. Deviation from recommended therapy occurred in 34.2%, 37.7%, and 92.4% in stages 0-A, B and C. Survival of stage 0-A patients who received downwards treatment stage migration was lower than those who received recommended treatment (p <0.001). Upward treatment stage migration in stages B, C and D did not improve survival compared to those who received recommended treatment. Conclusions: Deviation from recommended therapy had a negative impact on survival in Barcelona Clinic liver cancer stage A patients.

• East Asian mathematical journal
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• v.30 no.2
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• pp.149-172
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• 2014

The problems of optimization addressed in the high school curriculum are usually posed in real-life contexts. However, because of the instructional purposes, problems are artificially constructed to suit computation, rather than to reflect real-life problems. Those problems have thus limited use for teaching 'practicalities', which is one of the goals of mathematics education. This study, by utilizing 'GeoGebra', suggests the optimization problem solving related to the quadratic curve, using the contour-line method which contemplates the quadratic curve changes successively. By considering more realistic situations to supplement the limit which deals only with numerical and algebraic approach, this attempt will help students to be aware of the usefulness of mathematics, and to develop interests in mathematics, as well as foster students' integrated thinking abilities across units. And this allows students to experience a variety of math.

• Journal of KIISE:Software and Applications
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• v.31 no.3
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• pp.267-275
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• 2004

Directed graph and Lindenmayer system (L-system) are two major encoding methods of representation to develop creatures in application field of artificial life. It is difficult to define real morphology structurally using the L-systems which are a grammatical rewriting system because L-systems represent genotype as loops, procedure calls, variables, and parameters. This paper defines a class of representations called structured directed graph, which is identified by its ability to define structures of the genotype in the translation to the phenotype, and presents an example of creating 3D flowers using a directed graph which is proper method to represent real morphology, and interactive genetic algorithm which decodes the problem with human's emotional evaluation. The experimental results show that natural flower morphology can be generated by the proposed method.