• The Korean Journal of Pain
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• 제24권1호
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• pp.31-35
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• 2011

Background: Circumcision is a painful intervention frequently performed in pediatric surgery. We aim to compare the efficacy of caudal block versus dorsal penile block (DPNB) under general anesthesia for children undergoing circumcision. Methods: This study was performed between July 1, 2009 and October 16, 2009. Fifty male children American Society of Anesthesiolgists physical status classification I, aged between 3 and 12 were included in this randomized, prospective, comparative study. Anesthetic techniques were standardized for all children. Patients were randomized into 2 groups. Using 0.25% 0.5 ml/kg levobupivacain, we performed DPNB for Group 1 and caudal block for Group 2. Postoperative analgesia was evaluated for six hours with the Flacc Pain Scale for five categories; (F) Face, (L) Legs, (A) Activity, (C) Cry, and (C) Consolability. For every child, supplemental analgesic amounts, times, and probable local or systemic complications were recorded. Results: No significant difference between the groups (P > 0.05) was found in mean age, body weight, anesthesia duration, FLACC pain, and sedation scores (P > 0.05). However, on subsequent measurements, a significant decrease of pain and sedation scores was noted in both the DPNB group and the caudal block group (P < 0.001). No major complication was found when using either technique. Conclusions: DPNB and caudal block provided similar postoperative analgesic effects without major complications for children under general anesthesia.

• Journal of information and communication convergence engineering
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• 제9권4호
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• pp.358-362
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• 2011

The National Emergency Management Agency of South Korea has established a Disaster Victims Psychology Support Center. The Disaster Victims Psychology Support Center can enable victims who got psychological damage from disasters to return to their daily lives through healing activity, field visits and advice of experts. The previous Psychology Support Center System managed the information of disaster victims through an independent database. However, this paper proposes a system that is developed to identify medical institutions and mental health centers within a distance of radius, based on the potential Hot-Spot areas of disaster victims using the GIS Systems. The proposed system can efficiently support selection of appropriate institutions for disaster victims using their location and age, classification of damage, and damaged parts of the body. Also, this spatial analysis can assist to decide on a policy based on the location of disaster victims and the extent of damage. Therefore, this paper can provide the required information to support decision making based on the concentrated areas for disaster victims.

• 한국동물위생학회지
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• 제39권4호
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• pp.271-276
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• 2016

Horsehair or gordian worms (Nematomorpha) were identified with 22 genera (Gordiida) and 5 marine species (Nectonema) until now. During juvenile phase in development, they gain parasitic activity in arthropods. In this study, a gordian worm was detected in the feces of a dog living in Nonsan-si, Chungcheongnam-do, Korea. Using this worm, we evaluated the morphological characteristics by light microscopic analysis. Furthermore, the morphological classification was re-evaluated by scanning and transverse electron microscopes. The worm was determined that it is male adult having a bi-lobed tail and male gonads in cross sections. Based on the morphological characteristics including cross sections of body and areole on the cuticle, the parasite was also identified as Gordius sp. (Nematomorpha: Gordiidae).

• 품질경영학회지
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• 제49권4호
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• pp.623-640
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• 2021

Purpose: As an excellent example of ethical management of public enterprises, it provides implications for excellent management strategies through continuous ethical management promotion to domestic public enterprises and general enterprises through case analysis of the Korea Gas Technology Corporation's ethical management system and implementation. Methods: A case analysis was conducted on the ethical management system and implementation of the Korea Gas Technology Corporation, focusing on ethical management, human rights management, and social contribution activities. Results: The Korea Gas Technology Corporation's ethical management case is significant as an example showing the long-term progress and development process of establishing and implementing the ethical management system. Starting with the establishment of a basic plan for ethical management in 2004, the Korea Gas Technology Corporation has continuously advanced its ethical management system and practical capabilities. Through this, it is possible to provide implications to other companies through benchmarking on major implementations at each stage, such as the introduction, institutionalization, settlement, and maturity of the ethical management system. Conclusion: It proposes ethical management execution performance management centered on the performance of each stakeholder, linkage between the ethical management strategy system and the organization's strategy system, classification of related subjects and roles in the ethical management promotion system, and active external communication.

• 스마트미디어저널
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• 제7권4호
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• pp.90-98
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• 2018

심전도 신호는 기본적으로 심장의 전기적 활동에 포함되며 이를 통해 심박수 측정, 심장 박동의 리듬 검사, 심장 이상 진단, 정서 인식 및 생체 인식과 같은 다양한 목적으로 분석 및 활용된다. 본 논문의 목적은 다차원 데이터 배열인 텐서 특성을 가진 다선형 판별분석(MLDA: Multilinear Linear Discriminant Analysis) 기법을 이용하여 개인식별을 수행하고자 한다. MLDA는 상위 차원의 텐서를 포함하는 분류 문제에 대해서 차원 문제를 해결 할 수 있으며, 상호 연관된 부분 공간은 서로 다른 클래스를 구별하기 위해 사용될 수 있다. 제시된 방법의 성능을 검증하기 위해 Physionet의 MIT-BIH데이터베이스를 적용하였다. 이 데이터베이스에 대해 실험한 결과, MLDA는 기존 PCA와 LDA와 비교하여 개인식별 성능이 우수함을 확인하였다.

• 한국컴퓨터정보학회논문지
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• 제23권11호
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• pp.129-135
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• 2018

In this study, we designed a model that can measure the level of user's concentration by measuring and analyzing EEG data of the subjects who are performing Continuous Performance Test based on visual stimulus. This study focused on alpha and beta waves, which are closely related to concentration in various brain waves. There are a lot of research and services to enhance not only concentration but also brain activity. However, there are formidable barriers to ordinary people for using routinely because of high cost and complex procedures. Therefore, this study designed the model using the portable EEG measurement device with reasonable cost and Visual Continuous Performance Test which we developed as a simplified version of the existing CPT. This study aims to measure the concentration level of the subject objectively through simple and affordable way, EEG analysis. Concentration is also closely related to various brain diseases such as dementia, depression, and ADHD. Therefore, we believe that our proposed model can be useful not only for improving concentration but also brain disease prediction and monitoring research. In addition, the combination of this model and the Brain Computer Interface technology can create greater synergy in various fields.

• 한국컴퓨터정보학회논문지
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• 제24권1호
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• pp.25-32
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• 2019

With the rapid development of artificial intelligence technology, the patenting activities related to the fields of AI is increasing worldwide. In particular, a share of patent filed in China has exploded in recent years and overtakes the numbers in the US. In the present study, we focus our attention on the patenting activity of China and the US. We analyzed 6,281 and 13,664 patent applications in the US and China respectively between 2008 and 2018, and belonging to the "G06F(Electric Digital Data Processing)", "G06N(Computer Systems Based on Specific Computational Models)", "H04L(Transmission of Digital Information)" and nine more relevant technological classes, as indicated by the International Patent Classification(IPC). Our analysis contributes to: first, the understanding of patent application trends from foreign countries filed in the US and China, 2) patent application status by applicants category such as companies, universities and individuals, 3) the development direction and forecasting vacant technology of AI according to main IPC code. Through the analysis of this paper, we can suggest some implications for patent research related to artificial intelligence in Korea. Plus, by analyzing the most recent patent data, we can provide important information for future artificial intelligence technology research.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.28-32
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• 2021

The article discusses the theoretical and methodological part that characterizes and assessment of the current state of the theory of GR-activity, disclosed the essence and content of the concept of GR-technologies, as well as their classification. The analysis of the system of additional education for children in the social structure, as well as the analysis of the current state of the education system is carried out. The formulation of tasks for the construction of an effective model for the use of GR-technologies in the process of developing the education system using GR-technologies

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.467-479
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• 2022

Working memory (WM), which plays a vital role in daily activities, is a memory system that temporarily stores and processes information when people are engaged in complex cognitive activities. The influence of music on WM has been widely studied. In this work, we conducted a series of n-back memory experiments with different task difficulties and multiple trials on 14 subjects under the condition of no music and Alpha wave leading music. The analysis of behavioral data show that the change of music condition has significant effect on the accuracy and time of memory reaction (p<0.01), both of which are improved after the stimulation of Alpha wave music. Behavioral results also suggest that short-term training has no significant impact on working memory. In the further analysis of electrophysiology (EEG) data recorded in the experiment, auto-regressive (AR) model is employed to extract features, after which an average classification accuracy of 82.9% is achieved with support vector machine (SVM) classifier in distinguishing between before and after WM enhancement. The above findings indicate that Alpha wave leading music can improve WM, and the combination of AR model and SVM classifier is effective in detecting the brain activity changes resulting from music stimulation.

• 한국멀티미디어학회논문지
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• 제25권3호
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• pp.461-467
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• 2022

This research is to raise awareness of food safety by designing and supporting a hazard food information notification platform for consumers. To this end, the design was carried out by dividing the process into a data extraction process, an application screen design process, and a CNN-based food inference process. Data was collected through public data APIs and crawling, and it was sent to each activity screen designed for Android studios so that it could be output. As a result, when the platform is executed, information on hazardous food names, registration dates, food classification, manufacturing dates, recovery grades, recovery reasons, recovery methods, company names, barcode numbers, and packaging units can be intuitively and conveniently checked. In addition, CNN-based food inference processes allowed mobile cameras to infer harmful food and applied various quantization techniques such as Dynamic Range, Integer, and Float16 to compare the degree of improvement in inference performance. As a result, the group that applied basic quantization and treated device resources with GPU showed the greatest improvement in inference performance. Through this platform, it is expected that the reliability of food safety will be improved by making it more convenient for consumers to recognize food risks.