• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.309-316
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• 2018

Purpose: This study was conducted to identify the prevalence and related factors of metabolic syndrome in Korean adolescents. Method: Based on data from the Korea National Health and Nutrition Examination Survey of 2015, 404 adolescents aged 12-18 years were enrolled. We used the adolescent Ford method as the diagnostic criteria for adolescent metabolic syndrome. The data were analyzed using descriptive statistics, t-test, $x^2$-test, and logistic regression with SPSS WINDOW 23.0 program. Results: The prevalence of metabolic syndrome in Korean adolescents was 6.5% (6.5% for boys and 6.4% for girls). Among metabolic syndrome components, the prevalence of elevated blood pressure (28.8%) was the highest, followed by elevated triglycerides (21.3%), increased waist circumference (14.1%), decreased high density lipoprotein-cholesterol (11.5%), and elevated fasting blood sugar (7.8%). The only factor associated with metabolic syndrome in both boys and girls was the Body Mass Index (BMI), and the likelihood of a metabolic syndrome increased by 1.6 to 2.3 times (Adjusted OR=1.552 to 2.313, p=0.001) as the BMI increased. Conclusion: Based on the results of this study, an intervention program should be developed and provided to maintain the BMI in the normal range for the prevention and management of metabolic syndrome in Korean adolescents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.672-682
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• 2020

The Korea Nowadays, which is research on digital twin technology for efficient operation in various industrial/manufacturing sites, is being actively conducted, and gradual depletion of fossil fuels and environmental pollution issues require new renewable/eco-friendly power generation methods, such as wave power plants. In wave power generation, however, which generates electricity from the energy of waves, it is very important to understand and predict the amount of power generation and operational efficiency factors, such as breakdown, because these are closely related by wave energy with high variability. Therefore, it is necessary to derive a meaningful correlation between highly volatile data, such as wave height data and sensor data in an oscillating water column (OWC) chamber. Secondly, the methodological study, which can predict the desired information, should be conducted by learning the prediction situation with the extracted data based on the derived correlation. This study designed a workflow-based training model using a machine learning framework to predict the pressure of the OWC. In addition, the validity of the pressure prediction analysis was verified through a verification and evaluation dataset using an IoT sensor data to enable smart operation and maintenance with the digital twin of the wave generation system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.24-30
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• 2018

As the demand for underground space increases, many researchers have been studying the load reduction method using high compressible materials to solve for the stability problem of the overhead load and for the increase of the earth pressure which decreases the function of the underground structure. This paper determines the optimum soft zone and the effect of the using EPS Geofoam as a load reduction material to arch structures. A finite element analysis program, ABAQUS, is used to analyze the soil-structure interaction and the behavior of buried arch structures considering different four EPS Geofoam forms to confirm the most conservative shape. The optimum cross-sectional shape was determined by comparing the results of earth pressure reduction rate in accordance with the change of span-rise ratio and span length of the arch structure. It was confirmed that the earth pressure generated in the arch structure using the optimal soft zone selected by the numerical analysis was reduced by an average of 78%. In this study, the effect of EPS Geofoam on soil pressure reduction and its applicability to underground arch structures will provide an economical and conservative way to design underground structures and will help to increase the usability of deep underground space.

• Journal of the Korean Applied Science and Technology
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• v.35 no.1
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• pp.122-130
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• 2018

The purpose of this study was to identify the nursing college students' problem solving ability, nurses' image and leadership and compare problem solving ability, nurses' amage and leadership after management clinical practice. A descriptive survey design was used 60 nursing students who 4th grade, during August 2014. Data were analyzed using mean, t-test, ANOVA with SPSS 21.0. The highest area was 'get a gob' in application motivation, 'from nurse during clinical training' in most influencing events. Satisfaction with nursing as major was 83.4% above 'moderate'. There were significant mean differences in nurses' image according to having relation nurse and satisfaction with nursing as major, leadership according to application motivation and satisfaction with nursing as major and personality, problem solving ability according to having relation nurse and personality. The subject scored 3.32 points of full 5 on problem solving ability, 3.41 of full 5 on nurses' image and 3.62 of full 5 on leadership before management clinical practice. Scores for problem solving ability(t=-2.15, p=.03), nurses' image(t=-2.67, p=.01) and leadership(t=-2.20, p=.03) showed statistically significant increases after management practice. The result should be reflected in the development of effective teaching for management clinical practice.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.548-553
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• 2017

The aim of this study was to develop a low impact development design technique that can be applied in the land use planning stage and verify quantitatively the effects of non-point pollution reduction. For this purpose, the low impact development design elements that can be applied in the land use planning stage were derived and applied to an actual site, and the non-point pollution reduction effect was analyzed using the LIDMOD2 program. The analysis showed that the permeability rate of the land use plan using low impact development decreased by 19.8% compared to the existing land use plan. In addition, annual surface runoff decreased by 19.0% and annual infiltration increased by 164.1%. In the case of non-point pollution, the annual loading, T-N, T-P, and BOD decreased by 18.7 ~ 22.8%. Therefore, compared to the existing land use plan, the land use plan using low impact development has a considerably large effect of reducing the non-point pollution without changing the floor area according to each application. Therefore, to maximize the reduction effect of non-point pollution, it will be necessary to establish a related plan by applying the low impact development technique from the land use planning stage to the existing LID facility-oriented plan.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.506-516
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• 2018

This study was conducted to identify pain intensity and factors affecting pain intensity in patients with advanced cancer. Data were collected between June 1 and September 30, 2016 using a questionnaire. The sample size was 221 patients with advanced cancer who were admitted to the oncology department or who visited the outpatient of the general hospital. Data were evaluated by descriptive and Pearson's correlation analyses, one way ANOVA, t-tests and stepwise multiple regression analysis. The mean scores of pain intensity of cancer patients were 4.23 (${\pm}1.68$) based on the average daily pain intensity. Factors influencing pain intensity were illness perception (${\beta}=.27$, p<.001), pain opioid analgesics beliefs (${\beta}=.24$, p<.001), education (middle school, ${\beta}=.24$, p=.001), economic status (${\geq_-}400$, ${\beta}=.20$, p=.001), gender (female, ${\beta}=.14$, p=.017), pain management education (${\beta}=-.14$ p=.020) and diagnosis (Pancreatic Ca, ${\beta}=.14$, p=.020). It explained 28%. Overall, the results of this study revealed that illness perception and pain opioid analgesics beliefs were important factors influencing pain intensity, but that the most important influencing factor was illness perception. Accordingly, it is necessary to develop pain management strategies that include not only pain management knowledge and pain opioid analgesics beliefs, but also illness perception.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.248-255
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• 2016

The amount and diversity of information is increasing, as is the information integration connecting data among the related institutions. In the defense field, DTAQ, which is in charge of the quality of military supplies, is attempting to collect and analyze the information which is related with it. In addition, the object of information integration is to expand civil data as well as defense data. There are many ways to integrate data in various environments. In the defense field, which needs enhanced security, it is necessary to establish and apply the information integration methods which are enhanced with more security. In this study, the framework and architecture of information integration was designed by considering task requirements and security conditions. As a result of example application of this framework for information systems to the selected 4 institutions, it was confirmed that the task can be performed through data connections. From the study result, integration architecture which can be applied securely in defense field was suggested. The data accumulated by using this framework with strengthened security are expected to be utilized for the quality improvement of military supplies.

• The KIPS Transactions:PartB
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• v.14B no.1 s.111
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• pp.51-58
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• 2007

This paper suggests prototype of dialog system combining VXML(VoiceXML) that is the W3C's standard XML format for specifying interactive voice dialogues between human and computer, and RSS(RDF Site Summary or Really Simple Syndication) that is representative technology of semantic web for syndication and subscription of updated web-contents. Merits of the proposed system are as following: 1) It is a new method that recognize spoken contents using ire and wireless telephone networks and then provide contents to user via STT(Speech-to-Text) and TTS(Text-to-Speech) instead of traditional method using web only. 2) It can apply advantage of RSS that subscription of updated contents is converted to VXML without modifying traditional method to provide RSS service, 3) In terms of users, it can reduce restriction on time-spate in search of contents that is provided by RSS because it uses ire and wireless telephone networks, not internet environment. 4) In terms of information provider, it does not need special component for syndication of the newest contents using speech recognition and synthesis technology. We implemented a news service system using VXML and RSS for performance evaluation of the proposed system. In experiment results, we estimated the response time and the speech recognition rate in subscription and search of actuality contents, and confirmed that the proposed system can provide contents those are provided using RSS Feed.

• The Magazine of the IEIE
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• v.28 no.7
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• pp.49-55
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• 2001

1970년대에 개발된 마이크로 프로세서는 제어기기 분야 및 소형 컴퓨터에서 주로 사용되어 오다가 1980년대에 이르러 RISC(Reduced Instruction Set Computer) 구조의 도입으로 중대형 컴퓨터에 이르기까지 광범위하게 사용되고 있다. 또한 반도체 기술의 급격한 발전으로 슈퍼스칼라 구조가 마이크로 프로세서에서도 적용되고 있으며 동작 속도도 수백 MHz에 이르고 있다. 마이크로 프로세서는 프로그램을 수행하기 위해서 프로그램과 데이터를 메모리로부터 읽어 와야 한다. 그런데 메모리 용량은 빠른 속도로 증가하고 있지만 동작 속도는 마이크로 프로세서의 동작 속도에 크게 미치지 못하고 있다. 1980년에 DRAM의 접근 속도는 250nsec이었으나 1998년에 RDRAM의 동작속도는 300MHz로 70여배 빨라졌다. 그러나 마이크로프로세서는 1980년에 8086의 동작 속도가 8MHz이던 것이 1998년에는 팬티엄-2가 500MHz에 이르고 있다. 더욱이 팬티엄-2는 슈퍼스칼라 구조이므로 이를 감안하면 1GHz 이상에 이르러 120여 배 빨라진 것을 알 수 있다. 이와 같은 메모리 속도와 마이크로 프로세서 속도 차이에 더하여, 메모리와 마이크로 프로세서를 인쇄 회로 기판에서 연결하는데 따른 물리적 특성은 변화하지 않으므로 데이터 전송 폭을 넓히는 것에는 한계가 있다. 따라서 향후 컴퓨터 성능 발달을 제한하는 주요 요소 중 하나는 마이크로 프로세서와 메모리 사이의 데이터 전송 폭이다. 프로그램과 데이터가 메모리에 저장되는 본 뉴먼 방식의 컴퓨터에서 데이터 전송 폭을 줄이기 위해서는 코드 밀도(Code Density)가 높은 컴퓨터 구조를 연구하는 것이 필요하다. 한편 마이크로 프로세서는 실장 제어용으로 거의 모든 전자 제품 및 자동화 기기에서 채용하고 있다. 특히 냉장고, 에어콘, 전축, TV, 세탁기 등 가전기기와 Fax, 복사기, 프린터 등 사무용기기와 자동차, 선박, 자동화기계 등 사무 및 산업용 기기와 PDA(휴대용 정보 기기), NC(Network Computer) 등 정보 기기 그리고 각종 오락기, 노래 반주지 등 정보 기기 등에서 사용하는 실장 제어용 마이크로 프로세서 시장은 매년 10% 이상씩 성장하고 있으며, 21세기 산업을 주도하는 핵심 기술로 자리 매김하고 있다. 이러한 실장 제어용 기기는 마이크로 프로세서와 메모리 및 입출력 자이가 하나의 반도체에 집적되는 경우가 많다. 그런데 반도체 가격은 반도체 크기에 따라 결정되며, 가장 넓은 면적을 차지하는 것은 메모리이다. 따라서 반도체 가격을 낮추기 위해서는 메모리 크기를 줄여야 하며, 이를 위해서 또한 코드 밀도가 높은 컴퓨터 구조에 대한 연구가 필요하다. 최근에는 322비트 RISC 명령어를 16비트 명령어로 축약한 구조가 연구되었다. ARM-7TDMI는 ARM-7의 16비트 축약 명령어 구조이며, TR4101은 MIPS-R3000의 16비트 축약 명령어 구조이다. 이들 16비트 축약 명령어 RISC는 종래 RISC와의 호환성을 위하여 2가지 모드로 동작하므로 구조가 복잡하고, 16비트 명령어에서는 8개의 레지스타만을 접근할 수 있으므로 성능이 크게 떨어지는 단점을 가진다.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.17-31
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• 2020

With the rapid development of block chain technology, attempts have been made to put the block chain technology into practical use in various fields such as finance and logistics, and also in the public sector where data integrity is very important. Defense Operations In addition, strengthening security and ensuring complete integrity of the command communication network is crucial for operational operation under the network-centered operational environment (NCOE). For this purpose, it is necessary to construct a command communication network applying the block chain network. However, the block chain technology up to now can not solve the security issues such as the 51% attack. In particular, the Practical Byzantine fault tolerance (PBFT) algorithm which is now widely used in blockchain, does not have a penalty factor for nodes that behave maliciously, and there is a problem of failure to make a consensus even if malicious nodes are more than 33% of all nodes. In this paper, we propose a Adaptive Consensus Bound PBFT (ACB-PBFT) algorithm that incorporates a penalty mechanism for anomalous behavior by combining the Trust model to improve the security of the PBFT, which is the main agreement algorithm of the blockchain.