• The Journal of the Convergence on Culture Technology
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• v.4 no.2
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• pp.191-196
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• 2018

Recently, consumers' taste has been diversified, consumption pattern has changed, and product package design has been gradually developed. The product packaging design should be made to be able to know the contents accurately, and it should have the charm that attracts consumers' attention and makes them want to buy the goods. In addition, product design should motivate consumers to buy according to brand naming, package layout, content expression method, taste color, as well as graphic elements that induce visual effects.The graphic elements that express the image of the contents in a package design of the product at a glance are the most essential elements to enhance the value added of the product and to induce the purchase motivation and rationalization of the consumer. This study is a study on visual image symbol image using visual information metadata in livestock products. It examines cases of various livestock packages and presents graphical elements that can visualize livestock images at a glance as metadata elements. We will pursue the premiumization of livestock products, raise brand value, and offer differentiating design strategies for economic benefits as well as potential for revitalizing the livestock market.

• Journal of The Korean Association For Science Education
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• v.41 no.5
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• pp.371-390
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• 2021

The purpose of this study is to develop a neuropsychological model for the spatial ability factor and to divide the brain active area involved in the light & shadow problem solving process into the domain-general ability and the domain-specific ability based on the neuropsychological model. Twenty-four male college students participated in the study to measure the synchronized eye movement and electroencephalograms (EEG) while they performed the spatial ability test and the light & shadow tasks. Neuropsychological model for the spatial ability factor and light & shadow problem solving process was developed by integrating the measurements of the participants' eye movements, brain activity areas, and the interview findings regarding their thoughts and strategies. The results of this study are as follows; first, the spatial visualization and mental rotation factors mainly required activation of the parietal lobe, and the spatial orientation factor required activation of the frontal lobe. Second, in the light & shadow problem solving process, participants use both their spatial ability as a domain-general thought, and the application of scientific principles as a domain-specific thought. The brain activity patterns resulting from a participants' inferring the shadow by parallel light source and inferring the shadow when the direction of the light changed were similar to the neuropsychological model for the spatial visualization factor. The brain activity pattern from inferring an object from its shadow by light from multiple directions was similar to the neuropsychological model for the spatial orientation factor. The brain activity pattern from inferring a shadow with a point source of light was similar to the neuropsychological model for the spatial visualization factor. In addition, when solving the light & shadow tasks, the brain's middle temporal gyrus, precentral gyrus, inferior frontal gyrus, middle frontal gyrus were additionally activated, which are responsible for deductive reasoning, working memory, and planning for action.

• Archives of design research
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• v.17 no.3
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• pp.147-156
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• 2004

Currently, usability tests for web sites with representative users are conducted in laboratory environment that disturbs subjects' natural behavior. These test methods are inefficient for tests that require large number of subjects, because experimenters and subjects should be located in the same place at the same time during the test. In this study, a remote usability test tool, called 'RIO' has been developed to cope with these laboratory-based experiment problems - the 'synchronism' and the 'unnatural environment'. The tool is separated into three parts: 'Project Manager', 'Remote Interaction Observer', and 'Interaction Analyzer'. 'Project Manager' sets up overall experimental parameters and actual tasks to be peformed by subjects. 'Remote Interaction Observer', endued with Microsoft Internet Explorer Control, is a modified Web Browser which records user interactions, screen images and elaborate browser events while subject performs given tasks. This module is distributed to subjects as an installable software package. When they finish all the tasks, the captured interaction data is compressed and sent to 'Interaction Data Server' automatically. 'Interaction Analyzer' visualizes interaction data from the 'Interaction Data Server'. It also generates project-scope statistics which facilitate discovering peculiar cases among interaction submissions.

• Journal of Positioning, Navigation, and Timing
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• v.13 no.1
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• pp.111-115
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• 2024

This study builds a machine learning model optimized for clocks among various techniques in the field of artificial intelligence and applies it to clock stabilization or synchronization technology based on atomic clock noise characteristics. In addition, the possibility of providing stable source clock data is confirmed through the characteristics of machine learning predicted values during holdover of atomic clocks. The proposed machine learning model is evaluated by comparing its performance with the AutoRegressive Integrated Moving Average (ARIMA) model, an existing statistical clock prediction model. From the results of the analysis, the prediction model proposed in this study (MSE: 9.47476) has a lower MSE value than the ARIMA model (MSE: 221.2622), which means that it provides more accurate predictions. The prediction accuracy is based on understanding the complex nature of data that changes over time and how well the model reflects this. The application of a machine learning prediction model can be seen as a way to overcome the limitations of the statistical-based ARIMA model in time series prediction and achieve improved prediction performance.

• Journal of The Korean Association For Science Education
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• v.25 no.5
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• pp.547-554
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• 2005

A developed Web-aided laboratory program visualized invisible gas. In the Web-aided laboratory temperature and pressure were controlled and the resultant findings were presented as types of graphs, disclosed in the form of an analyzed report. A Web-aided laboratory experiment and traditional experiment group(2 classes) were assembled from a farming village co-educational high school and taught the motion of molecule lesson for 2 class hours. Before actual class instruction, to survey learner motivation characteristics, the short-version GALT, the test of attitudes toward science instruction, was administered. After instruction, student learning achievement, TOSRA, and IMMS, were administered to the two groups. To analyze data ANCOVA was administrated. Result found that attitudes towards science instruction did not significantly differ, but learning motivation and achievement were significantly altered.

• Journal of Korea Multimedia Society
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• v.19 no.10
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• pp.1808-1815
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• 2016

TPSN(Timing-sync Protocol for Sensor Networks), the representative of time synchronization protocol, has been already developed to provide time synchronization among nodes in wireless sensor networks. Even though the TPSN's method has been referenced by so many other time synchronization schemes for resource-constrained networks like wireless sensor networks or low power personal area networks, it has some inefficiency in terms of power consumption and network-wide synchronization time (or called convergence time). The main reason is that each node in TPSN needs waiting delay to solve the collision problem due to simultaneous transmission among competing nodes, which causes more power consumption and longer network convergence time for a network-wide synchronization. In this paper an improved scheme is proposed by changing message exchange method among nodes. The proposed scheme not only shortens network-wide synchronization time, but also reduce collision traffic which lead to needless power consumption. The proposed scheme's performance has been evaluated and compared with an original scheme by simulation. The results are shown to be better than the original algorithm used in TPSN.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06b
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• pp.400-404
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• 2008

무인항공기를 이용한 실시간 공중 모니터링은 재난 재해, 테러 등의 위기상황을 사전에 대비하고, 사고 발생 시 피해상황을 신속하게 파악할 수 있는 효율적인 관리 시스템이다. 실시간 공중 모니터링을 위해 무인항공부문에서는 고성능의 카메라, 관성항법장치, 레이저 스캐너, GPS 수신기 등의 다중 센서들을 장착하고, 제어하며 각 센서들로부터 입력받은 데이터 처리 및 지상국으로 데이터 전송이 실시간으로 가능해야 한다. 기존 무인 모니터링 시스템들은 카메라와 같이 단일 센서의 운용을 목적으로 설계되었으나, 본 연구에서는 레이져 스캐너, 적외선카메라를 포함하는 다중센서를 위한 컴퓨터를 설계하였다. 최근 다중센서를 장착한 관측시스템에 관한 연구가 미국 및 유럽에서 수행되고 있으나, 아직 개발이 완료되지 않은 상태이다. 본 논문에서는 고성능 다중 센서 데이터 처리를 위해 실시간 소프트웨어, 고속 대용량 데이터처리 기술, 고속 압축 기술, 이기종 다중 센서들 간의 시각 동기화 기능을 제공하는 탑재컴퓨터의 설계결과를 소개하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.1
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• pp.80-88
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• 2001

The existed approaches to analyzing real-time schedulability take place exponential time and space complexity of this methods, since these uses a fixed priority scheduling and/or traverse all possible state spaces. This paper judges whether it is satisfied a given deadlines for real-time processes regarding a minimum execution time of process, periodic, deadline and a synchronizion time of processes by using the transaction rules of process algebra, and proposes a retrieval algorithm for unschedulable processes based on GUI environment. And we implement and evaluate the scheduling state analyzer that displays visually the result of schedulabiliy analysis for real-time processes.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1765-1768
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• 2015

3D 디스플레이 기술이 발달함에 따라 3 차원 공간에서의 뇌-컴퓨터 인터랙션 기술에 대한 관심이 높아지고 있다. 3D 디스플레이 기술은 사용자에게 실재감과 몰입감을 부여하여 특정 태스크를 수행할 때 사용자 태스크 퍼포먼스를 향상시킬 수 있다. 이와 같은 3D 입체감이 주는 긍정적 효과에 대한 연구는 교육, 주의력 향상, 엔터테인먼트를 목적으로 하는 뇌-컴퓨터 인터랙션 분야에서도 활발히 이루어지고 있다. 뇌-컴퓨터 인터랙션을 구성하는 뇌파성분에는 시각, 청각, 촉각 유발지속전위, 사건유발전위, 사건관련 동기/비동기화 성분, 느린 피질전위 등이 있다. 이 중 시유발 지속전위를 이용한 뇌-컴퓨터 인터랙션 기술은 오브젝트 콘트롤을 위한 사전훈련이 거의 요구되지 않으며 높은 정보전달율을 가지는 것을 특정으로 하기 때문에 최근 널리 사용되고 있다. 그러나 저주파수 대역의 명멸자극이 유발하는 피로감으로 인해 사용시간이 제한적인 한계점이 있다. 따라서, 본고에서는 유발뇌파의 일종인 시유발지속전위를 이용한 뇌-컴퓨터 인터랙션 기술을 소개하고 3D 홀로그램 인터랙션 수행 시 피로감을 최소화할 수 있는 방안에 대해 논의 하고자 한다.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.53-54
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• 2015

기존의 IEC 61850 표준 적용 국내 디지털변전소는 Station 레벨에 한정되어 구축되어 왔다. 향후 구축될 Process 레벨을 포함한 풀(Full) 디지털 변전소 디지털화는 디지털변전소 운전에 있어 중요하고 긴급한 신호인 Process bus를 통한 SV와 GOOSE신호의 전송으로 이루어지고 있다. Process bus를 활용한 배전선로 보호용 통합 IED는 GIS 등 변전소 전력설비로부터 전압과 전류 값을 MU(Merging Unit)를 통해 공급받아 각 구간의 Bay 혹은 Bank단위로 통합적인 보호 기능을 수행하고, 주 IED와 예비 IED가 서로의 상태를 상호 감시하여 보호기능의 이중화를 이루어야 하고, Sampled Value를 처리하기 위한 정밀한 시각동기화 기능을 갖추어야 한다. 만약, Process bus 시스템의 문제로 인해, 지연과 손실이 발생한다면 변전소 보호 제어에 영향을 줄 수 있으므로 Process bus를 디지털변전소에 적용하기 위해서는 Process bus 기반의 네트워크시스템에 연결된 MU와 IED가 송수신하는 SV와 GOOSE를 손실과 지연없이 전송할 수 있는지를 분석해야 한다. 본 연구에서는 디지털변전소 네트워크 시뮬레이션 시험을 통해, 배전선로용 통합 IED의 성능검증을 위해 Process bus 네트워크 시스템을 설계하고 시뮬레이션 시험을 수행하여 이를 통해 향후 국내의 Process bus 디지털변전시스템 구축을 위한 효과적인 네트워크 시스템 설계방법을 제시하고자 한다.