• 한국군사과학기술학회지
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• 제21권1호
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• pp.86-93
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• 2018

Since media articles, which have a great influence on public opinion, are transmitted to the public through various media, it is very difficult to analyze them manually. There are many discussions on methods that can collect, process, and analyze documents in the academia, but this is mostly done in the areas related to politics and stocks, and national-defense articles are poorly researched. In this study, we will explain how to build an automatic analysis system of national defense articles that can collect information on defense articles automatically, and can process information quickly by using topic modeling with LDA, emotional analysis, and extraction-based text summarization.

• 대한산업공학회지
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• 제30권1호
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• pp.50-57
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• 2004

The aim of this study is to collect driver's psychophysiological signal under various road condition and to select and quantify psychophysiological variables for diagnosis of road-driver compatibility. A 4x4 vehicle with measuring devices was developed to collect driver's psychophysiological signal and collected driver's psychophysiological signal under various road conditions. The collected data were analyzed by the temporal pattern of signal overtime. Thirteen bio-signals with consistent pattern were selected and quantified in terms of slope and amplitude of the signal. These quantified values could be used as a part of tool to diagnose the road-driver compatibility.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 추계학술대회
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• pp.336-337
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• 2018

본 논문에서는 다종의 가스 센서를 이용하여 향 정보를 수집하기 위한 향 수집기의 구현 결과를 기술하였다. 제안된 향 수집기는 솔레노이드 밸브, 진공 펌프, 4개의 가스 센서 및 챔버, Raspberry Pi 모듈로 구현되었다. 제안된 향 수집기를 검증하기 위해 5종류의 향에 대한 향 수집 실험을 수행하였다.

• 대한안전경영과학회지
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• 제14권4호
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• pp.79-83
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• 2012

This study analyzes introduction state of Green SCM technology in domestic and overseas area and suggests how to reduce greenhouse gases of logistics in the future. Thus, introduction state of Green SCM was reviewed by building and integrating logistic-related informatization systems such as WMS and TMS. And how to apply the system to track toxic substance in supply chain was performed to manage toxic substance. Therefore, it will be necessary to develop a device to display and collect vehicle condition & log through OBD-II, which is widely adopted, and hardware to measure, collect, and monitor carbon dioxide emission and power consumption of fixed facilities.

• 한국컴퓨터정보학회논문지
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• 제24권9호
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• pp.43-49
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• 2019

Today, with the development of the internet of things, wearable devices related to personal health care have become widespread. Various global information and communication technology companies are developing various wearable health devices, which can collect personal health information such as heart rate, steps, and calories, using sensors built into the device. However, since individual health data includes sensitive information, the collection of irrelevant health data can lead to personal privacy issue. Therefore, there is a growing need to develop technology for collecting sensitive health data from wearable health devices, while preserving privacy. In recent years, local differential privacy (LDP), which enables sensitive data collection while preserving privacy, has attracted much attention. In this paper, we develop a technology for collecting vast amount of health data from a smartwatch device, which is one of popular wearable health devices, using local difference privacy. Experiment results with real data show that the proposed method is able to effectively collect sensitive health data from smartwatch users, while preserving privacy.

• International Journal of Internet, Broadcasting and Communication
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• 제13권3호
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• pp.42-49
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• 2021

As cyber attacks become more intelligent, there is difficulty in detecting advanced attacks in various fields such as industry, defense, and medical care. IPS (Intrusion Prevention System), etc., but the need for centralized integrated management of each security system is increasing. In this paper, we collect big data for intrusion detection and build an intrusion detection platform using deep learning and CNN (Convolutional Neural Networks). In this paper, we design an intelligent big data platform that collects data by observing and analyzing user visit logs and linking with big data. We want to collect big data for intrusion detection and build an intrusion detection platform based on CNN model. In this study, we evaluated the performance of the Intrusion Detection System (IDS) using the KDD99 dataset developed by DARPA in 1998, and the actual attack categories were tested with KDD99's DoS, U2R, and R2L using four probing methods.

• Journal of information and communication convergence engineering
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• 제20권2호
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• pp.125-130
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• 2022

In modern society, as many data are used for research or commercial purposes, the value of data is gradually increasing. In related fields, research is being actively conducted to collect valuable data, but it is difficult to collect proper data because the value of collection is determined according to the performance of existing sensors. To solve this problem, a method to effectively reduce noise has been proposed, but there is a point in which performance is degraded due to damage caused by noise. In this paper, a device capable of collecting time series data was designed to correct such data noise, and a correction technique was performed by giving an error value based on the representatively collected ultrafine dust data, and then comparing before and after Compare performance. For the correction method, Kalman, LPF, Savitzky-Golay, and Moving Average filter were used. Savitzky-Golay filter and Moving Average Filter showed excellent correction rate as an experiment. Through this, the performance of the sensor can be supplemented and it is expected that data can be effectively collected.

• 시스템엔지니어링학술지
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• 제18권1호
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• pp.99-104
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• 2022

In this paper, to increase the maintenance efficiency of the urban railway train control system and to build a standard data system, we collect as much as possible structured, unstructured, and semi-structured data, and collect data by sensing and monitoring the system status and system status and monitoring. pre-process function data(Identification, purification, integration, transformation) through effective data classification and maintenance activities business classification system was studied. The purpose of this is to define the data matrix model by considering the relationship with the data generated and managed in the O&M stage of the train control system operated by the urban railway together with the WBS model, and to reflect and utilize it in practice.

• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.449-455
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• 2023

The purpose of this study is to explore adolescent depression, increase understanding of social problems, and develop prevention and intervention strategies. As a research method, social big data was used to collect information related to 'youth depression', and related factors were identified through data mining and analysis of related rules. We used 'Sometrend Biz Tool' to collect and clean data from the web and then analyzed data in various languages. The study found that online articles about depression decreased during the school holidays (January to March), then increased from March to the end of June, and then decreased again from July. Therefore, it is important to establish a government-wide depression management monitoring system that can detect risk signs of adolescent depression in real time. In addition, regular stress relief and mental health education are needed during the semester, and measures must be prepared to deal with at-risk youth who share their depressed feelings in cyberspace. Results from these studies can be expected to provide important information in investigating and preventing youth depression and to contribute to policy development and intervention.

• 한국수학사학회지
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• 제13권1호
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• pp.33-48
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• 2000

In this paper we collect the mathematical problems from the past which can be used in classroom instruction. These problems can show the cultural value and the utility of mathematics, and encourage learning and illuminate the concept being taught.