• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.181-185
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• 2015

This paper proposes a simple, approachable game via mobile application in order to change the attitudes of the general public towards donation. This game can become one of many representative online activities of NGOs(Non Government Organization). Also, as it is a song game, the public can enjoy it rather than feeling pressure. This study is expected to energize the industry of donation applications and contribute to the settlement of a popular giving culture through NGOs, corporations, and SNS(Social Networking System).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.636-638
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• 2010

Task scheduling is an integral part of parallel and distributed computing. Extensive research has been conducted in this area leading to significant theoretical and practical results. Stochastic reward nets (SRN) is an extension of stochastic Petri nets and provides compact modeling facilities for system analysis. In this paper, we address task scheduling model using extended timed marked graph, which is a special case of SRNs. And we analyze this model by giving reward measures in SRN.

• Journal of the Korea Society of Computer and Information
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• v.7 no.3
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• pp.99-108
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• 2002

Users location management and handoff management is constructed more effective for giving satisfaction to QoS of multimedia service in Mobility network. For this, We have the HLR of IMT-2000, difference of the HLR of PCS, and connectivity Artificial Intelligent network and to provide data service of packet that is analyze to effect on the HLR. We have a study on effective for satisfaction of QoS, that is the VHE of full concepts for provide of service in the IMT-2000, packet data service for internet connectivity, for satisfaction of QoS on basis mobility network technologies of the 2nd generation.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.1
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• pp.87-97
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• 2019

Reaction of people is importantly considered about specific case as a social network service grows. In the previous research on analysis of social network service, they predicted tendency of interesting topic by giving scores to sentences written by user. Based on previous study we proceeded research of sentiment analysis for social network service's sentences, which predict the result as positive or negative for movie reviews. In this study, we used movie review to get high accuracy. We classify the movie review into positive or negative based on the score for learning. Also, we performed embedding and morpheme analysis on movie review. We could predict learning result as positive or negative with a number 0 and 1 by applying the model based on learning result to social network service. Experimental result show accuracy of about 80% in predicting sentence as positive or negative.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.137-144
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• 2018

In this paper, we propose an well-organized lecture note for giving a better understanding on the Internet of Things (IoT) to people including non-computer majors without computing and communication knowledge. In recent years, the term 'IoT' has been popularized, and IoT will make a huge impact on our industries, societies, and environments. Although there are large amount of literature on presenting IoT from technological perspectives, few are published that are organized for teaching students having non-computer-related majors. Based on research and education experiences on IoT, we tried to make a lecture note focusing on the process of collecting data from everyday objects, transmitting and sharing data, and utilizing data to create new values for us. The proposed lecture note was employed in teaching a liberal arts class, and it was shown that students could have an understanding of what IoT really means and how IoT could change our world.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.225-230
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• 2019

The purpose of this study is to provide basic data that mother's smart phone overdependence prevention education are needed by confirming the relationship between mother' s smartphone overdependence and parent role intelligence. The research subjects were 220 mothers of 0-2 years old who are attending 15 day care centers in Cheong-ju, Chung-buk. The research tool used smartphone overdependence scale, and parent role intelligence scale. For the analysis of the study, frequency analysis, Pearson's Ratio correlation and regression analysis were performed. The results showed that mother's smartphone overdependence was negatively correlated with parental role intelligence and negatively correlated with developmental stimulation, parenting, support, and management. The multiple regression analysis showed that there was a significant negative effect on the smartphone overdependency, parent role intelligence, and sub factors. This suggests that smartphone overdependence prevention education for mother should be needed for nurturing of desirable infants.

• Journal of the Semiconductor & Display Technology
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• v.19 no.4
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• pp.34-38
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• 2020

In this paper, we implement a Dashcam system capable of shooting 360 degrees using a Raspberry Pi, shock sensors, distance sensors, and rotating camera with a servo motor. If there is an object approaching the vehicle by the distance sensor, the camera rotates to take a video. In the event of an external shock, videos and images are stored in the server to analyze the cause of the vehicle's accident and prevent the user from forging or tampering with videos or images. We also implement functions that transmit the message with the location and the intensity of the impact when the accident occurs and send the vehicle information to an insurance authority with by linking the system with a smart device. It is advantage that the authority analyzes the transmitted message and provides the accident handling information giving the user's safety and convenience.

• Journal of information and communication convergence engineering
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• v.20 no.2
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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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.90-92
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• 2022

This paper proposes an interface improvement design to improve accessibility of kiosks introduced in various fields in Korea. Kiosks are unmanned systems using touch-type screens and are particularly specialized in the field of dining out. However, due to the lack of intuition of kiosks, more and more people are giving up using kiosks. To solve this problem, the purpose of this is to increase the convenience of those who avoid using existing kiosks by increasing intuition and learning of use at the interface stage, and to increase the accessibility of kiosks through this.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.615-616
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• 2020

최근 중국으로 인해 코로나 19 바이러스가 전 세계로 퍼지면서 각 나라에 큰 위협이 되고 있다. 이에 대한민국의 국민들은 매일 코로나 바이러스 확진자와 사망자, 그리고 대처방안에 대한 브리핑을 정부 관계자로부터 듣고 이를 시행하고 있다. 본 논문에서는 코로나바이러스에 대해 브리핑을 하는 정부 관계자의 음성이 어떤 특정이 있는가를 규명해 보고자한다.