• Journal of the Daesoon Academy of Sciences
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• v.42
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• pp.75-108
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• 2022

This paper aims to newly investigate the meaning of life in this era when various discussions on life and ethical living are commonly raised by comparing and examining the theories of life proposed by Confucianism and Daesoon Thought. Both Confucianism and Daesoon Thought explain the creation of all things as having been based on the principles of life in heaven and earth. Specifically, there is the will to live (生意 saengeui) and also divine beings (神明 sinmyeong). For this reason, everything in heaven and earth is created by obtaining the same principle of life such that it is an equal being with the same intrinsic value. Here the consciousness of being one body amid all things as one living thing is established. The consciousness of being one body forms an organic worldview in which all things are one. As a result, all things in heaven and earth exist within a mutual organic relationship, and that makes oneself and others precious life partners that coexist rather than separate beings. Nevertheless, both Confucianism and Daesoon Thought define humans as outstanding beings, set aside for a higher purpose than other beings. The excellence of humans is that by constantly engaging in self reflection and completing tasks through independent efforts, they thereby achieve the great moral doctrine of coexistence and symbiosis. In this process, cultivation of character (修養 suyang) and cultivation of the Dao (修道 sudo) are presented as means to realize one's nature and establish the right human image. By realizing nature or humanity through the cultivation of character and cultivation of the Dao, humans fulfill their responsibilities and missions by independently participating in being nourished by Heaven and Earth (天地化育 cheonjihwayuk) or the Reordering Works of Heaven and Earth (天地公事 cheonjigongsa), both being based in the concept of the three generative forces of Heaven, Earth, and Humanity (天·地·人 cheon·ji·in). In the end, the theories of life posited by Confucianism and Daesoon Thought are based on a consciousness of being one body. Both emphasize the characteristics and roles of humans who are distinguished from other beings and phenomena. At this time, human characteristics and roles are revealed as the reasons for which humans have a responsibility and mission take care of all things. From this point of view, it can be seen that the theoretical structure of Neo-Confucianism and Daesoon Thought, in regards to their theories of life, is rather similar.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.125-148
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• 2018

Recently, as the demand for big data analysis increases, cases of analyzing unstructured data and using the results are also increasing. Among the various types of unstructured data, text is used as a means of communicating information in almost all fields. In addition, many analysts are interested in the amount of data is very large and relatively easy to collect compared to other unstructured and structured data. Among the various text analysis applications, document classification which classifies documents into predetermined categories, topic modeling which extracts major topics from a large number of documents, sentimental analysis or opinion mining that identifies emotions or opinions contained in texts, and Text Summarization which summarize the main contents from one document or several documents have been actively studied. Especially, the text summarization technique is actively applied in the business through the news summary service, the privacy policy summary service, ect. In addition, much research has been done in academia in accordance with the extraction approach which provides the main elements of the document selectively and the abstraction approach which extracts the elements of the document and composes new sentences by combining them. However, the technique of evaluating the quality of automatically summarized documents has not made much progress compared to the technique of automatic text summarization. Most of existing studies dealing with the quality evaluation of summarization were carried out manual summarization of document, using them as reference documents, and measuring the similarity between the automatic summary and reference document. Specifically, automatic summarization is performed through various techniques from full text, and comparison with reference document, which is an ideal summary document, is performed for measuring the quality of automatic summarization. Reference documents are provided in two major ways, the most common way is manual summarization, in which a person creates an ideal summary by hand. Since this method requires human intervention in the process of preparing the summary, it takes a lot of time and cost to write the summary, and there is a limitation that the evaluation result may be different depending on the subject of the summarizer. Therefore, in order to overcome these limitations, attempts have been made to measure the quality of summary documents without human intervention. On the other hand, as a representative attempt to overcome these limitations, a method has been recently devised to reduce the size of the full text and to measure the similarity of the reduced full text and the automatic summary. In this method, the more frequent term in the full text appears in the summary, the better the quality of the summary. However, since summarization essentially means minimizing a lot of content while minimizing content omissions, it is unreasonable to say that a "good summary" based on only frequency always means a "good summary" in its essential meaning. In order to overcome the limitations of this previous study of summarization evaluation, this study proposes an automatic quality evaluation for text summarization method based on the essential meaning of summarization. Specifically, the concept of succinctness is defined as an element indicating how few duplicated contents among the sentences of the summary, and completeness is defined as an element that indicating how few of the contents are not included in the summary. In this paper, we propose a method for automatic quality evaluation of text summarization based on the concepts of succinctness and completeness. In order to evaluate the practical applicability of the proposed methodology, 29,671 sentences were extracted from TripAdvisor 's hotel reviews, summarized the reviews by each hotel and presented the results of the experiments conducted on evaluation of the quality of summaries in accordance to the proposed methodology. It also provides a way to integrate the completeness and succinctness in the trade-off relationship into the F-Score, and propose a method to perform the optimal summarization by changing the threshold of the sentence similarity.

• Economic and Environmental Geology
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• v.46 no.4
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• pp.313-327
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• 2013

In the study, three-dimensional geostatistical simulations on McMurray Formation which is the largest oil sand reservoir in Athabasca area, Canada were performed, and the optimal site for steam assisted gravity drainage (SAGD) was selected based on the predictions. In the selection, the factors related to the vertical extendibility of steam chamber were considered as the criteria for an optimal site. For the predictions, 110 borehole data acquired from the study area were analyzed in the Markovian transition probability (TP) framework and three-dimensional distributions of the composing media were predicted stochastically through an existing TP based geostatistical model. The potential of a specific medium at a position within the prediction domain was estimated from the ensemble probability based on the multiple realizations. From the ensemble map, the cumulative thickness of the permeable media (i.e. Breccia and Sand) was analyzed and the locations with the highest potential for SAGD applications were delineated. As a supportive criterion for an optimal SAGD site, mean vertical extension of a unit permeable media was also delineated through transition rate based computations. The mean vertical extension of a permeable media show rough agreement with the cumulative thickness in their general distribution. However, the distributions show distinctive disagreement at a few locations where the cumulative thickness was higher due to highly alternating juxtaposition of the permeable and the less permeable media. This observation implies that the cumulative thickness alone may not be a sufficient criterion for an optimal SAGD site and the mean vertical extension of the permeable media needs to be jointly considered for the sound selections.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.10 no.1
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• pp.91-99
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• 1999

Objects：It is difficult to differentiate between attention deficit hyperactivity disorder(ADHD) and mania because of similar symptoms and atypical symptoms of mania in children and adolescents. The purpose of this study is to identify the characteristics and to clarify the relationship by comparing the clinical features and comorbidities of ADHD and manic patients. Methods：The subjects consisted of 35 patients with ADHD and 19 manic patients. To Compare the characteristic symptoms between the two disorders, we selected 29 patients with ADHD and 14 patients with manic disorders. 6 ADHD patients who had manic disorders as comorbid disorder, and 5 manic patients who had ADHD as comorbid disorders were manic disorders were excluded. Results：1) There were significant differences in ages of onset and state anxiety scale scores, birth weights, numbers of perinatal problem, gestational ages, school behavioral problems between ADHD patients and manic patients(p<0.01). 2) There were significant differences in loses things(p<0.05) of ADHD-symptoms and grandiosity(p<0.01), decrease in sleep(p<0.05), delusions(p<0.01), hallucinations(p<0.05) of mania-symptoms between ADHD patients and manic patients. 3) The comorbid disorders of ADHD patients are significantly high(p<.05) than that of manic patients in major depression. 4) The familial loading of manic patients are significantly high(p<.05) than that of ADHD patients in mood disorder. Conclusions：The above results suggest that ADHD and mania are different disorders, considering the significant differences of clinical features and characteristics, familial loadings of the two disorders.

• Clinical and Experimental Pediatrics
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• v.52 no.3
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• pp.310-314
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• 2009

Purpose : Pneumothorax is an important factor responsible for increased mortality and morbidity in neonates. Here, we compared the clinical findings and prognosis for neonatal pneumothorax induced by respiratory distress syndrome (RDS) and pneumonia. Methods : Between January 2001 and December 2005, 80 patients with neonatal pneumothorax induced by RDS and pneumonia and admitted to the NICU of Dongsan Medical Center, Keimyung University, were enrolled. They were assigned to the RDS group (30 cases) or the pneumonia group (50 cases). Admission records for gestational age, onset day of life, rate of ventilatory care and thoracostomy, and prognosis were retrospectively reviewed and statistically analyzed for both groups. Results : The mean gestation age was significantly shorter in the RDS group (32.3 weeks) than in the pneumonia group (38.1 weeks) (P<0.001), and the mean onset day of life were later in the RDS group (4.6 days) than in the pneumonia group (1.8 days) (P<0.05). Rates of ventilatory care and thoracostomy were higher for the RDS group than for the pneumonia group (100% vs. 44%, and 66.7% vs. 48%, respectively). Total mortality rates and pneumothorax specific mortality rates were higher for the RDS group than for the pneumonia group (46.7% vs. 18%, P<0.01 and 33.3% vs. 16%, P<0.05, respectively). After logistic regression analysis, preterm significantly increased the mortality rate (OR 7.44, 95% CI: 1.99-27.86, P<0.005), but bilateral involvement (OR 1.17, 95% CI: 0.82-1.67, P>0.5) and the RDS group itself (OR 1.70, 95% CI: 0.52-5.54, P>0.3) did not increase mortality rates significantly. Conclusion : Our study suggests that neonatal pneumothorax in the RDS group tends to have a later onset, higher mortality rate, and needs a higher rate of thoracostomy than the pneumonia group. However, after logistic analysis, only preterm significantly and independently increased the mortality rate.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.23-46
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• 2017

Although there have been cases of evaluating the value of specific companies or projects which have centralized on developed countries in North America and Europe from the early 2000s, the system and methodology for estimating the economic value of individual technologies or patents has been activated on and on. Of course, there exist several online systems that qualitatively evaluate the technology's grade or the patent rating of the technology to be evaluated, as in 'KTRS' of the KIBO and 'SMART 3.1' of the Korea Invention Promotion Association. However, a web-based technology valuation system, referred to as 'STAR-Value system' that calculates the quantitative values of the subject technology for various purposes such as business feasibility analysis, investment attraction, tax/litigation, etc., has been officially opened and recently spreading. In this study, we introduce the type of methodology and evaluation model, reference information supporting these theories, and how database associated are utilized, focusing various modules and frameworks embedded in STAR-Value system. In particular, there are six valuation methods, including the discounted cash flow method (DCF), which is a representative one based on the income approach that anticipates future economic income to be valued at present, and the relief-from-royalty method, which calculates the present value of royalties' where we consider the contribution of the subject technology towards the business value created as the royalty rate. We look at how models and related support information (technology life, corporate (business) financial information, discount rate, industrial technology factors, etc.) can be used and linked in a intelligent manner. Based on the classification of information such as International Patent Classification (IPC) or Korea Standard Industry Classification (KSIC) for technology to be evaluated, the STAR-Value system automatically returns meta data such as technology cycle time (TCT), sales growth rate and profitability data of similar company or industry sector, weighted average cost of capital (WACC), indices of industrial technology factors, etc., and apply adjustment factors to them, so that the result of technology value calculation has high reliability and objectivity. Furthermore, if the information on the potential market size of the target technology and the market share of the commercialization subject refers to data-driven information, or if the estimated value range of similar technologies by industry sector is provided from the evaluation cases which are already completed and accumulated in database, the STAR-Value is anticipated that it will enable to present highly accurate value range in real time by intelligently linking various support modules. Including the explanation of the various valuation models and relevant primary variables as presented in this paper, the STAR-Value system intends to utilize more systematically and in a data-driven way by supporting the optimal model selection guideline module, intelligent technology value range reasoning module, and similar company selection based market share prediction module, etc. In addition, the research on the development and intelligence of the web-based STAR-Value system is significant in that it widely spread the web-based system that can be used in the validation and application to practices of the theoretical feasibility of the technology valuation field, and it is expected that it could be utilized in various fields of technology commercialization.

• The Korean Journal of Air & Space Law and Policy
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• v.20 no.1
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• pp.211-253
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• 2005

Recently, the Korean Supreme Court released two important decisions concerning damages for the pain and suffering from Aircraft noise. The local people who are living near the Air Force practice site at Maehyang-ri and the Kimpo International Airport brought lawsuits against the Korean government requesting damages for their financial loss from the severe noise and the damages for their pain and suffering. Plaintiffs alleged that they suffered physical malfunctions, extreme disturbances and the reduction of property values from the extreme noises which were daily repeated. District Court of Seoul Province did not allow plaintiffs all but the damages for pain and suffering. Plaintiffs could not prove the causation between their financial loss and the noise. The Supreme Court confirmed the lower court's decision. Article V of the National Compensation Act (analogous to the Federal Tort Claims Act of the USA) reads, "the government shall be liable for any loss caused by the defect on establishment or maintenance of public facilities." In the two cases, the major issue was whether the government's establishment or maintenance of Air Force practice site and the airport was defective because they caused serious noise to surrounding neighbors. Previously, the Supreme Court interpreted the clause "defect on establishment or maintenance of public facilities" as failure of duty to provide safety measures to the degree generally required to ordinary manager. However the Court at this time interpreted differently that the defect could be found if the facility caused to any person loss to the degree intolerable. In the two cases the Court confirmed the lower court's finding that noise level at the site was severe enough to be intolerable. This standard is based on the severity of the loss rather than the failure of duty. It became easier for plaintiffs to prove the cause of action under this interpretation. The consequence of the ruling of these two cases is 'rush to the courtroom' by the local people at similar situations. The ruling of these two cases was not appropriate both in theory and in consequence. The Korean tort system is basically based on the theory of negligence. Strict liability is exceptional only when there is special legislation. The Court created strict liability rule by interpreting the Art. V of the National Compensation Act. This is against the proper role of the court. The result of the cases is also dismal. The government was already sued by a number of local people for damages. Especially the Department of Defense which is operating many airports nationwide has financial hardship, which will cause downsizing military practice by the Air Force in the long run, This is no good to anyone. Tens of millions of dollars which might be used for compensation might be better used to prevent further noise problem surrounding airports.

• Korean Journal of Heritage: History & Science
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• v.55 no.4
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• pp.196-209
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• 2022

This study compared and analyzed the spatial division function and role of partitions by comparing the entire space and the spatial changes before and after the installation of partitions in <Donggwoldo>, which was manufactured in the late Joseon Dynasty. As a research method, a set standard was prepared to decompose the space of <Donggwoldo> into a unit space, and the standard was set according to the role and height of the space by classifying it into a main space, sub space, and transition space. Two convex maps were prepared according to before and after the installation of the Panjang, and the values of connectivity, control, and integration, which are spatial syntax variables, were calculated and analyzed. The results of the study are as follows. First, the partition in <Donggwoldo(東闕圖)> did not affect the overall spatial arrangement and control or connection of Donggwol, but the movement and access of space is limited to specific areas. Second, the partition was a facility intensively distributed in Naejeon(內殿) and Donggung(東宮) to be used actively in the way of space utilization. It shows that the unit space increased rapidly due to the installation of the partition. Since the partition was installed in the spaces that were open and under high control in the case of Naejeon(內殿), it helped to secure private spaces as closed ones under low control. On the other hand, for Donggung(東宮), the spaces were compartmented and divided with the partition to guide the movement path through narrow gates of the partition and increase the depth of the space. This helped to create spaces that are free and can be hidden as it increased the number of spaces coming through. Third, In addition to the functions of "eye blocking, space division, and movement path control" revealed in prior research, the partition has created a "space that is easy to control" within a specific area. The installation of the partition reduced the scale through the separation of spaces, but it occurred the expansion of the movement path and space. Also, the partition functioned to strengthen hiding and closure or increase openness as well through space division. This study is significant in that it revealed the value of the spatial control function of panjang through the analysis of spatial control and depth by analyzing the function of the partition with a mathematical model in addition to the analysis and study of the function and role of panjang. In addition, it is valuable in that it has prepared a framework for analysis tools that can be applied to traditional residential complexes similar to palaces by applying space syntax to <Donggungdo> to create convex spaces according to unit space division and connection types of palace architecture and landscape elements.

• Sleep Medicine and Psychophysiology
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• v.14 no.1
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• pp.33-41
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• 2007

Objectives: It has been known that the contents of dreams change according to neuro-developmental differences in sex, progression of age and various environments, unlike the established psychoanalytic theory. To investigate the changes, we collected "most recent dream report" and analyzed the contents of dreams by using Hall/Van de Castle System. Method: Most recent dream reports were gathered from age 12-14 years old, 2,673 middle school students (1,544 male 1,129 female) and analyzed those reports using Hall/Van de Castle System. The data were sorted in SAS and dream SAT. Result: There were prominent differences between male and female middle school students in Male/Female Percentage (male/ female；56%/35%), Familiarity Percentage (57%/69%), Aggression/Friendliness Percentage (79%/65%), Befriender Percentage (50%/33%), Physical Aggression Percentage (90%/70%), Indoor Setting Percentage (40%/55%), Negative Emotion Percentage (56%/68%) and Torso/Anatomy Percentage (51%/36%). There were significant differences in Male/Female Percentage (65%/44%), Friendliness, Physical Aggression and Self Negativity Percentage in male and there were significant differences in Friendliness, Familiarity and Friends Percent in female between 1st and 2nd grade. But, it showed much similar dream patterns between 2nd and 3rd grade in both gender. In male, Aggression/Character Index with male character is significantly increased by 2nd grade (1st/ 2nd/ 3rd；0.48/ 1.04/0.98), In female, Friendliness/Character Index with male character had significantly decreased by 2nd grade (0.38/ 0.19/0.20). Conclusion: There were apparent differences between age 12-14 years old male and female. Male adolescents have differences mostly in categories related with aggression, but female adolescents have differences in categories related with environment or character. It shows that developmental level of male are slower than female as of yet and male needs more active interpersonal relationship to find identity. Otherwise, the influences of passive attitude and actual circumferential environment are reflected in female's dream. There are no prominent differences among ages, but age 12-13 years old adolescents shows significant differences in interacting with the other gender. It means that circumferential environment and interpersonal relationship affect the contents of dreams and also the cognitive development related to age and sex. Afterwards, the development of dreams could be better understood through the neurocognitive study and dream analysis between other ages and nations.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.1-21
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• 2020

With the rapid development of artificial intelligence technology, various techniques have been developed to extract meaningful information from unstructured text data which constitutes a large portion of big data. Over the past decades, text mining technologies have been utilized in various industries for practical applications. In the field of business intelligence, it has been employed to discover new market and/or technology opportunities and support rational decision making of business participants. The market information such as market size, market growth rate, and market share is essential for setting companies' business strategies. There has been a continuous demand in various fields for specific product level-market information. However, the information has been generally provided at industry level or broad categories based on classification standards, making it difficult to obtain specific and proper information. In this regard, we propose a new methodology that can estimate the market sizes of product groups at more detailed levels than that of previously offered. We applied Word2Vec algorithm, a neural network based semantic word embedding model, to enable automatic market size estimation from individual companies' product information in a bottom-up manner. The overall process is as follows: First, the data related to product information is collected, refined, and restructured into suitable form for applying Word2Vec model. Next, the preprocessed data is embedded into vector space by Word2Vec and then the product groups are derived by extracting similar products names based on cosine similarity calculation. Finally, the sales data on the extracted products is summated to estimate the market size of the product groups. As an experimental data, text data of product names from Statistics Korea's microdata (345,103 cases) were mapped in multidimensional vector space by Word2Vec training. We performed parameters optimization for training and then applied vector dimension of 300 and window size of 15 as optimized parameters for further experiments. We employed index words of Korean Standard Industry Classification (KSIC) as a product name dataset to more efficiently cluster product groups. The product names which are similar to KSIC indexes were extracted based on cosine similarity. The market size of extracted products as one product category was calculated from individual companies' sales data. The market sizes of 11,654 specific product lines were automatically estimated by the proposed model. For the performance verification, the results were compared with actual market size of some items. The Pearson's correlation coefficient was 0.513. Our approach has several advantages differing from the previous studies. First, text mining and machine learning techniques were applied for the first time on market size estimation, overcoming the limitations of traditional sampling based- or multiple assumption required-methods. In addition, the level of market category can be easily and efficiently adjusted according to the purpose of information use by changing cosine similarity threshold. Furthermore, it has a high potential of practical applications since it can resolve unmet needs for detailed market size information in public and private sectors. Specifically, it can be utilized in technology evaluation and technology commercialization support program conducted by governmental institutions, as well as business strategies consulting and market analysis report publishing by private firms. The limitation of our study is that the presented model needs to be improved in terms of accuracy and reliability. The semantic-based word embedding module can be advanced by giving a proper order in the preprocessed dataset or by combining another algorithm such as Jaccard similarity with Word2Vec. Also, the methods of product group clustering can be changed to other types of unsupervised machine learning algorithm. Our group is currently working on subsequent studies and we expect that it can further improve the performance of the conceptually proposed basic model in this study.