• Journal of Life Science
• /
• v.29 no.5
• /
• pp.530-536
• /
• 2019

Glioblastoma (GBM) is the most incurable brain cancer derived from the transformed glial cells. Standard anti-GBM treatment, including surgery and chemoradiotherapy, does not ensure good prognosis for the patients with GBM, because successful therapy is often impeded by presence of glioma stem cells (GSCs). GSCs, which is generally divided into proneural (PN) and mesenchymal (MES) subtype, are understood as subpopulation of cancer cells responsible for GBM initiation, progression and recurrence after standard treatments. In the present study, we demonstrate that PN subtype GSCs differentially transit to MES subtype GSCs by specific cytokines. The expression of CD44, a marker of MES subtype GSCs, was observed when GSC11 PN subtype GSCs were exposed to tumor necrosis factor alpha ($TNF-{\alpha}$) cytokine and GSC23 PN subtype GSCs were treated to transforming growth factor beta 1 ($TGF-{\beta}1$) cytokine. Ivy glioblastoma atlas project (Ivy GAP) bioinformatics database showed that $TNF-{\alpha}$ and $TGF-{\beta}1$ were highly expressed in necrotic region and perivascular region, respectively. In addition, $TNF-{\alpha}$ signaling was relatively upregulated in necrotic region, while $TGF-{\beta}$ signaling was increased in perivascular region. Taken together, our observations suggest that MES subtype GSCs can be derived from various PN subtype GSCs by multimodal cytokine stimuli provided by neighboring tumor microenvironment.

• Science of Emotion and Sensibility
• /
• v.23 no.4
• /
• pp.61-72
• /
• 2020

Social problems, such as economic instability, aging population, heightened competition, and changes in personal values, might become more serious in the near future. Affective computing has received much attention in the scholarly community as a possible solution to potential social problems. Accordingly, we examined domestic and global knowledge structure, major keywords, current research status, international research collaboration, and network for each major keyword, focusing on keywords related to affective computing. We searched for articles on a specialized academic database (Scopus) using major keywords and carried out bibliometric and network analyses. We found that China and the United States (U.S.) have been active in producing knowledge on affective computing, whereas South Korea lags well behind at around 10%. Major keywords surrounding affective computing include computing, processing, affective analysis, research, user modeling categorizing recognitions, and psychological analysis. In terms of international research collaboration structure, China and the U.S. form the largest cluster, whereas other countries like the United Kingdom, Germany, Switzerland, Spain, and Canada have been strong collaborators as well. Contrastingly, South Korea's research has not been diverse and has not been very successful in producing research outcomes. For the advancement of affective computing research in South Korea, the present study suggests strengthening international collaboration with major countries, including the U.S. and China and diversifying its research partners.

• Journal of the korean academy of Pediatric Dentistry
• /
• v.48 no.3
• /
• pp.313-323
• /
• 2021

The purpose of this study was to investigate trends in dental sedation of Korean children and adolescents. A retrospective study was conducted on patients under 20 years of age who received dental treatment under sedation using National Health Insurance Service-National Sample Cohort Database from 2002 to 2015. Based on the 1 million standard data, there were 436 cases of dental treatment under sedation in 2002, but 4002 cases in 2015, showing a trend increasing every year. The 3 - 5 year old group accounted for the largest portion (54.2%), while the 6 - 8 year old group increased recently. Nitrous oxide inhalation sedation is the most commonly used, accounting for 45.9% in 2002, but increased to 89.5% in 2015. Combination of nitrous oxide inhalation sedation, chloralhydrate and hydroxyzine was the most common, accounting for 5.7% in 2002, but decreased to 2.9% in 2015. There is a trend to use the sedation method more safely and in a way that reduces side effects.

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.49 no.1
• /
• pp.75-84
• /
• 2021

The authors had presented two previous papers[1,2] on Helicopter/Rotorcraft develoment in Europe and US. Meanwhile, the next generation rotorcrafts, currently under development in US and Europe, have new configurations (tilt-rotor, coaxial, compound) of rotor-type vertical takeoff/landing rotorcrafts to overcome the disadvantages of traditional helicopters. For developing these new types of rotorcrafts, the upgraded conceptual design/comprehensive programs are required. In US and Europe, they are already developing new program tools with their technologies and database obtained during more than last half centuries. For us, many academia, research institutes and industrial engineers have experienced and developed core technologies on rotorcrafts (aerodynamics, structural analysis, flight dynamics, and noise analysis etc.) comparable to US and Europe during last couple of decades of developing helicopters and various configurations of rotorcrafts. In this paper, the pros and cons of conceptual design/comprehensive tools currently used in US and Europe have been summarized. Furthermore, the possibilities and problems to develope our own design and analysis tools have been studied.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.16 no.3
• /
• pp.39-52
• /
• 2006

Recently purpose is used by an crucial part to security management when collecting data about privacy. The W3C(World Wide Web Consortium) describes a standard spec to control personal data that is provided by data providers who visit the web site. But they don't say anymore about security management about personal data in transit after data collection. Recently several researches, such as Hippocratic Databases, Purpose Based Access Control and Hippocratic in Databases, are dealing with security management using purpose concept and access control mechanism after data collection a W3C's standard spec about data collection mechanism but they couldn't suggest an efficient mechanism for privacy protection about personal data because they couldn't represent purpose expression and management of purposes sufficiently. In this paper we suggest a mechanism to improve the purpose expression. And then we suggest an accesscontrol mechanism that is under least privilege principle using the purpose classification for privacy protection. We classify purpose into Along purpose structure, Inheritance purpose structure and Stream purpose structure. We suggest different mechanisms to deal with then We use the role hierarchy structure of RBAC(Role-Based Access Control) for flexibility about access control and suggest mechanisms that provide the least privilege for processing the task in case that is satisfying using several features of purpose to get least privilege of a task that is a nit of business process.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.19 no.4
• /
• pp.125-135
• /
• 2009

Logs from various security system can reveal the attack trials for accessing private data without authorization. The logs can be a kind of confidence deriving factors that a certain IP address is involved in the trial. This paper presents a rule-based expert system for derivation of privacy violation confidence using various security systems. Generally, security manager analyzes and synthesizes the log information from various security systems about a certain IP address to find the relevance with privacy violation cases. The security managers' knowledge handling various log information can be transformed into rules for automation of the log analysis and synthesis. Especially, the coverage of log analysis for personal information leakage is not too broad when we compare with the analysis of various intrusion trials. Thus, the number of rules that we should author is relatively small. In this paper, we have derived correlation among logs from IDS, Firewall and Webserver in the view point of privacy protection and implemented a rule-based expert system based on the derived correlation. Consequently, we defined a method for calculating the score which represents the relevance between IP address and privacy violation. The UI(User Interface) expert system has a capability of managing the rule set such as insertion, deletion and update.

• Journal of Advanced Navigation Technology
• /
• v.25 no.3
• /
• pp.248-255
• /
• 2021

The main causes of the July 2013 OZ 214 accident were poorly performed approach and the failure to recognize the autothrottle in the HOLD position which the automated speed control was not provided. The pilots late decision for go-around was also a critical factor leading to the accident. The B777 POM restricts the use of FLCH mode beyond the FAF. This research utilized the QAR data of an airline's B777 fleet in the period of two years where 44 cases were found. In many cases, the FLCH mode was used for rapid descent from an higher than normal situation. In addition, in the base turn, continuous use of FLCH mode even when the path was below the glide path were observed. Airports with elevation above 500 ft MSL had a higher rate of occurrence. In this research, the proper descent planning and vertical path monitoring, and the adherence to the limitation set in the manuals and the stabilized approach criteria were re-emphasized as mitigation to reduce event occurences.

• Knowledge Management Research
• /
• v.22 no.2
• /
• pp.1-17
• /
• 2021

In this study, we predicted the bitcoin prices of Bithum and Coinbase, a leading exchange in Korea and USA, using ARIMA and Recurrent Neural Networks(RNNs). And we used news articles from each country to suggest a separated RNN model. The suggested model identifies the datasets based on the changing trend of prices in the training data, and then applies time series prediction technique(RNNs) to create multiple models. Then we used daily news data to create a term-based dictionary for each trend change point. We explored trend change points in the test data using the daily news keyword data of testset and term-based dictionary, and apply a matching model to produce prediction results. With this approach we obtained higher accuracy than the model which predicted price by applying just time series prediction technique. This study presents that the limitations of the time series prediction techniques could be overcome by exploring trend change points using news data and various time series prediction techniques with text mining techniques could be applied to improve the performance of the model in the further research.

• Phonetics and Speech Sciences
• /
• v.12 no.4
• /
• pp.81-90
• /
• 2020

This paper describes a method of building Korean conversational speech data in the emergency medical domain and proposes an annotation method for the collected data in order to improve speech recognition performance. To suggest future research directions, baseline speech recognition experiments were conducted by using partial data that were collected and annotated. All voices were recorded at 16-bit resolution at 16 kHz sampling rate. A total of 166 conversations were collected, amounting to 8 hours and 35 minutes. Various information was manually transcribed such as orthography, pronunciation, dialect, noise, and medical information using Praat. Baseline speech recognition experiments were used to depict problems related to speech recognition in the emergency medical domain. The Korean conversational speech data presented in this paper are first-stage data in the emergency medical domain and are expected to be used as training data for developing conversational systems for emergency medical applications.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.1
• /
• pp.409-414
• /
• 2021

Tightness performance that blocks compartments is important for surface ships to achieve superior mission performance and survivability in combat environments. To meet the above requirements, airtightness of the structural elements and the appropriate strength to specific areas are checked during a test run after ship construction. In particular, air tests of compartments adjacent to the water surface are performed. In an air test, air is injected into the compartment up to the test pressure of the test memo. The pressure drop value is checked after 10 minutes to determine if the requirements of the corresponding area are satisfied. In summer, however, when the influence of the outside temperature is large, a phenomenon in which the internal pressure increases during the air test was identified. This phenomenon reduces the reliability of the test result. Therefore, a system was designed to compensate for temperature changes in the compartments through this study. The developed system calculates the amount of pressure change caused by a temperature change in the compartment and outputs a correction value. The pressure change was calculated using the ideal gas equation, reflecting the maintenance, increase, and decrease in temperature during the test process. A comparison of the calculated pressure correction value with the database of NIST REFPROP revealed a difference of 0.126% to a maximum of 0.253%.