• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.1021-1022
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• 2006

In industrial control system used by Programmable Logic Controller(PLC), Ladder Diagram(LD) is the most widely utilized and plays an important role in industrial control system. But recently, the study about Sequential Function Chart(SFC) is performed actively. When we program by SFC, generally, we design one routine from start to end. This method is difficult to design, and we often make mistakes. In this paper, we propose the method that we compose each sub-system after we design each sub-system, and we analysis the difference of the method used this paper from conventional method.

• Journal of Communications and Networks
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• v.13 no.2
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• pp.125-131
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• 2011

Rapid strides are being made to bring to reality the technology of wearable sensors for monitoring patients' physiological data.We study the problem of automatically detecting anomalies in themeasured blood glucose levels. The normal daily measurements of the patient are used to train a hidden Markov model (HMM). The structure of the HMM-its states and output symbols-are selected to accurately model the typical transitions in blood glucose levels throughout a 24-hour period. The learning of the HMM is done using historic data of normal measurements. The HMM can then be used to detect anomalies in blood glucose levels being measured, if the inferred likelihood of the observed data is low in the world described by the HMM. Our simulation results show that our technique is accurate in detecting anomalies in glucose levels and is robust (i.e., no false positives) in the presence of reasonable changes in the patient's daily routine.

• Journal of The Korean Society of Grassland and Forage Science
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• v.24 no.1
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• pp.81-90
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• 2004

Farmers need timely information on the nutritional status of their animals and the nutritive value of pastures and supplementary feeds if they are to apply successfully this existing nutritional information. Near infrared reflectance(NIR) spectroscopy has been used over the last forty years to analyse accurately protein, fiber, and other organic components in animal foods. NIR spectroscopy is a rapid, non-destructive, and non-polluting technology. When properly calibrated, NIR spectroscopy is used successfully with both concentrate and forage feeds. NIR methods predict in vitro digestibility accurately and precisely, and can predict in vivo digestibility at least as well as conventional "wet chemistry" methods such as in vivo digestion or the pepsin-cellulase method, and much more rapidly. NIR technology has been applied to the routine monitoring (through analysis of feces samples) of the nutritional status of cattle and other grazing animals. This report reviews the use of near infrared reflectance(NIR) spectroscopy to monitor the nutritive value of animal feeds and the nutritional status of grazing animals.

• Communications of Mathematical Education
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• v.24 no.3
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• pp.793-806
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• 2010

In this paper we study meaning and methods of analyzing problems related with equation of high school mathematics. By analyzing problem we can get two types of informations. Based on these informations we suggest some problem solving methods. Especially we try to extract second type information using analysis through synthesis. This second type information can help us to find new non-routine problem solving method.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.295-297
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• 2003

실시간 운영체제는 여러 개의 독립적인 태스크가 동시에 실행될 수 있는 멀티태스킹 환경을 제공한다. 이러한 독립적인 태스크들 사이에 정보를 주고받기 위해서는 태스크들 사이의 통신이 필요하며 이러한 ITC(Inter-Task Communication)를 지원하는 방법에는 Global Variable과 Message 전송 두 가지 방법이 있다. Global Variable 은 Data Corruption 의 위험이 있기 때문에 보통의 실시간 운영체제에서는 Message 전송 방식을 주로 사용하는데 이러한 방식에는 메시지 큐, 메시지 메일박스, 메시지 포트 등이 있다. 본 논문에서는 태스크들 간에 또는 태스크와 ISR(Interrupt Service Routine)이 여러 개의 메시지를 서로 전달할 수 있는 메시지 큐에 대해서 설명하고 있다. 또한 태스크 또는 ISR 이 메시지 큐로부터 메시지를 주고받을 때 메모리의 동적 할당을 보다 효과적으로 처리함으로써 효율적인 메시지 큐 제어기법에 대해서 제시하고 있다.

• Korean Journal of Remote Sensing
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• v.23 no.3
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• pp.229-236
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• 2007

Scattered satellite images were collected and converted from TDF to HDF as a standard format. We reviewed all the metadata on the images domestic and abroad and set up the metadata for the meteorological satellite images and naming rules in KMA. The satellite information search system that meteorological satellite images were in service with metadata for public and academic fields was implemented for quick search and download. This system will facilitate satellite images for various academic purposes beyond KMA and management functions of the system make routine workflow to manage satellite images in an ease and standardized way.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.55-65
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• 2020

As corona began to spread around the world, it had such a big impact on many people's lives that the word "Untact Culture" was born. Among them, non-face-to-face meetings naturally became a daily routine as educational institutions and many domestic and foreign companies used video conferencing service platforms. Among many video conferencing service platforms, Zoom, the company with the largest number of downloads, caused many security issues and caused many concerns about Zoom's security. In this paper, Zoom's security problems and vulnerabilities were classified into five categories, and Zoom's latest update to solve those problems and the 90-day security planning project were compared and analyzed. And the problem was solved and classified as unresolved. Three of the five parts have been resolved but are still described as how they should be resolved and improved in the future for the two remaining parts.

• Journal of information and communication convergence engineering
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• v.20 no.1
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• pp.31-40
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• 2022

Coronary heart disease (CHD) is a comorbidity of COVID-19; therefore, routine early diagnosis is crucial. A large number of examination attributes in the context of diagnosing CHD is a distinct obstacle during the pandemic when the number of health service users is significant. The development of a precise machine learning model for diagnosis with a minimum number of examination attributes can allow examinations and healthcare actions to be undertaken quickly. This study proposes a CHD diagnosis model based on feature selection, data balancing, and ensemble-based classification methods. In the feature selection stage, a hybrid SVM-GA combined with fast correlation-based filter (FCBF) is used. The proposed system achieved an accuracy of 94.60% and area under the curve (AUC) of 97.5% when tested on the z-Alizadeh Sani dataset and used only 8 of 54 inspection attributes. In terms of performance, the proposed model can be placed in the very good category.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.627-630
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• 2022

Over the past few years, fake news has become one of the most significant problems. Since it is impossible to prevent people from spreading misinformation, people should analyze the news themselves. However, this process takes some time and effort, so the routine part of this analysis should be automated. There are many different approaches to this problem, but they only analyze the text and messages, ignoring the images. The fake news problem should be solved using a complex analysis tool to reach better performance. In this paper, we propose the approach of training an Artificial Intelligence using an unsupervised learning algorithm, combined with online data parsing tools, providing independence from subjective data set. Therefore it will be more difficult to spread fake news since people could quickly check if the news or article is trustworthy.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.89-91
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• 2011

Diabetes is a chronic disease which may lead to other life threatening health complications like heart disease, stroke and peripheral vascular disease that diminished quality of life. In order to assists diabetic patients, we develop a smartphone application to monitor the regular medicine intake and exercise routines through repetitive user friendly and motivational reminders. Health-practitioners including doctors and nurses can frequently view and analyze the daily routine of patients through a web-interface. This paper presents architecture to improve the quality of life with android smart phone as user terminal, and integration of webbased application through web services for health care professionals. We also explain how each of the application interacts with each other and internal integration.