• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.673-676
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• 2017

Accompanying the Internet of Things (IoT) is a demand of advanced applications and services utilizing the potential of the IoT environment. Monitoring the environment for a provision of context-aware services to the human beings is one of the new trends in our future life. The IoTivity Cloud is one of the most notable open-source platform bringing an opportunity to collect, analyze, and interpret a huge amount of data available in the IoT environment. Based on the IoTivity Cloud, we aim to develop a novel platform for comprehensive monitoring of a future network, which facilitates on-demand data collection to enable the network behavior prediction and the quality of user experience maintenance. In consideration of performance evaluation of the monitoring platform, this paper presents results of a preliminary test on the data acquisition/supply process in the IoTivity Cloud.

• Journal of Information Processing Systems
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• v.15 no.1
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• pp.1-6
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• 2019

Recently, big data and artificial intelligence (AI) based on communication systems have become one of the hottest issues in the technology sector, and methods of analyzing big data using AI approaches are now considered essential. This paper presents diverse paradigms to subjects which deal with diverse research areas, such as image segmentation, fingerprint matching, human tracking techniques, malware distribution networks, methods of intrusion detection, digital image watermarking, wireless sensor networks, probabilistic neural networks, query processing of encrypted data, the semantic web, decision-making, software engineering, and so on.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.05a
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• pp.70-74
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• 2003

Recently, many kinds of satellites are developed in many countries. The satellite contains various data, such as hardware status data attitude date an information, etc. And the ground station must check these data for successful operation These data is called as telemetry. Flight software is responsible for the telemetry processing. In KOMPSAT(Korea Multi-Purpose Satellite)-2, the telemetry processing logic takes the table-driven method to make satellite data flow efficient In this paper, the telemetry processing in KOMPSAT-2 is described Verification test and integration test are being carried out for the FSW of KOMPSAT-2.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.1
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• pp.31-36
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• 2015

There are many uncertainty items when we're working on a software. Especially, if we don't have experience in similar field, ambiguity items have a strong influence on the system entirely. Management of ambiguity items such like uncertainty things is important the factor for reliability of software. Therefore, this research is processing the evaluation criteria for remove of uncertainty items by identify of ambiguity items. Also, this research provides criteria of uncertainty identify and processing of uncertainty items, quantitative evaluation criteria to the remove of ambiguity on software development.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.630-644
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• 2021

Educational data analysis is attracting increasing attention with the rise of the big data industry. The amounts and types of learning data available are increasing steadily, and the information technology required to analyze these data continues to develop. The early identification of potential dropout students is very important; education is important in terms of social movement and social achievement. Here, we analyze educational data and generate predictive models for student dropout using logistic regression, a decision tree, a naïve Bayes method, and a multilayer perceptron. The multilayer perceptron model using independent variables selected via the variance analysis showed better performance than the other models. In addition, we experimentally found that not only grades but also extracurricular activities were important in terms of preventing student dropout.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1082-1084
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• 2011

최근 스마트폰의 보급률이 급격하게 증가함에 따라 스마트폰 사용자들이 요구하는 어플리케이션들도 더욱 다양해지고 어플리케이션들의 효율성 또한 높아져야하는 상황이다. 또한 대부분의 스마트폰 어플리케이션들이 데이터를 효율적으로 저장, 관리하기 위해서 DataBase를 이용하고 있다. 비록 하드웨어기술이 눈부시게 발전하기는 했지만, 아직까지는 제한적인 스마트폰 기기의 하드웨어 환경상 효율적인 어플리케이션을 개발하기 위해서는 DataBase를 효율적으로 설계하고 각종 쿼리문을 적절하게 활용하여 최적의 성능을 제공할 수 있도록 구현되어야 한다. 따라서 본 연구는 변경사항이 적은 Data는 SQLite를 이용하여 스마트폰 어플리케이션 내부의 DataBase에 저장하고, 변동이 잦은 Data는 별도의 Server DataBase를 이용하여 스마트폰과의 네트워크 통신을 이용한 연동을 통해 어플리케이션의 내용이 업데이트 되도록 설계하였다.

• Publications of The Korean Astronomical Society
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• v.12 no.1
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• pp.47-62
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• 1997

In this paper we present a newly improved telescope control software and a newly developed data analysis software package for effective use of the Solar Flare Telescope(SOFT) The telescope control software permits us to make not only auto tacking of the SOFT, but also quantitative measurement of the solar irradiation, allowing us to provide weather monitorings. In addition we introduce an IDL widget software package for both monochromatioc (MONO version) and polarimetric data (VMG version) analysis. The MONO version is capable of loading FITS files, changing colors and contrast, image processing, displaying plots, and saving displayed plots by selected formats The VMG version, on the other hand provides a calibration of polarimetric data and plots of reduced vector magnetic fields.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.159-161
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• 2007

Geostationary Ocean Color Imager (GOCI), the world-first ocean remote sensing instrument on geostationary Communication, Ocean, Meteorological Satellite (COMS), will be able to take a picture of a large region several times a day (almost with every one hour interval). We, KORDI, are in charge for developing the GOCI data processing system (GDPS) which is the basic software for processing the data from GOCI. The GDPS will be based on windows operating system to produce the GOCI level 2 data products (useful for oceanographic environmental analysis) automatically in real-time mode. Also, the GDPS will be a user-interactive program by well-organized graphical user interfaces for data processing and visualization. Its products will be the chlorophyll concentration, amount of total suspended sediments (TSS), colored dissolved organic matters (CDOM) and red tide from water leaving radiance or remote sensing reflectance. In addition, the GDPS will be able to produce daily products such as water current vector, primary productivity, water quality categorization, vegetation index, using individual observation data composed from several subscenes provided by GOCI for each slit within the target area. The resulting GOCI level 2 data will be disseminated through LRIT using satellite dissemination system and through online request and download systems. This software is carefully designed and implemented, and will be tested by sub-contractual company until the end of this year. It will need to be updated in effect with respect to new/improved algorithms and the calibration/validation activities.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.401-404
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• 2004

SAR (Synthetic Aperture Radar) signal data need a focusing procedure to make the information available to the user. In recent SAR systems, various sensing modes and mission operations are applied to acquire high-resolution SAR images. Therefore, in order to develop generalized focusing software for multi-satellites, a regularized parameter configuration that sufficiently represents sensor and platform characteristics of the SAR system is required. The objective of this paper is to introduce the consideration of parameter definition for developing a generalized SAR processor and to discuss the flexibility and extensibility of defined parameters. The proposed parameter configuration can be applied to a SAR processor. Experiments based on real data will show the suitability of the suggested processing parameters.

• Journal of Sensor Science and Technology
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• v.29 no.3
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• pp.162-171
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• 2020

The incidences of cardiovascular diseases are rapidly increasing worldwide. The electrocardiogram (ECG) is a test to detect and monitor heart issues via electric signals in the heart. Presently, detecting heart disease in real time is not only possible but also easy using the myDAQ data acquisition device and LabVIEW. Hence, this paper proposes a system that can acquire ECG signals in real time, as well as detect heart abnormalities, and through light-emitting diodes (LEDs) it can simultaneously reveal whether a particular waveform is in range or otherwise. The main hardware components used in the system are the myDAQ device, Vernier adapter, and ECG sensor, which are connected to ECG monitoring electrodes for data acquisition from the human body, while further processing is accomplished using the LabVIEW software. In the Results section, the proposed system is compared with some other studies based on the features detected. This system is tested on 10 randomly selected people, and the results are presented in the Simulation Results section.