• Proceedings of the International Microelectronics And Packaging Society Conference
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• 2001.11a
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• pp.37-39
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• 2001

21세기의 벽두부터 국내외적으로 활발히 논의되고 있는 나노기술에 대한 정의를 생각해보는 것으로부터 우리가 나아갈 방향을 살펴보고자 한다. 나노기술이란, 원자 하나 하나 혹은 분자단위의 조작을 통해 1~100nm정도의 범위 안에서 근본적으로 새로운 물질이나 구조체를 만들어 내는 기술을 말한다. 즉 앞으로 우리는 경험해 보지 못한 새로운 현상에 대한 이해를 할 수 있어야 하고, 새로운 물질 자체를 다룰 수 있는 방법이 우리가 해야 할 구체적인 일이 될 것이란 말이 된다. 뿐만 아니라 나노기술은 종래의 정보.통신.전자 분야에서 주로 추구하던 마이크로화와 달리 재료, 기계, 전자, 의학, 약학, 에너지, 환경, 화학, 생물학, 농학, 정보, 보안기술 등 과학기술 분야 전반을 위시하여 사회분야가지 새로운 인식과 철학적인 이해가 필요하게 되었다. 21세기를 맞은 인류가 나아갈 방향을 나노세계에 대한 도전으로 보아야 하며, 과학기술의 새로운 틀을 제공할 것 임에 틀림 없다. 그러나, 이와 같은 나노기술의 출발점을 살펴보면 VLSI기술로 통칭할 수 있는 마이크로전자소자 기술이란 점이다. 국내의 VLSI기술은 메모리기술이라고 해도 과언이 아닐 것이다. 문제는 종래의 메모리기술은 대규모 투자와 집중적인 인력양성을 통해서 세계 최고 수준에 도달 할 수 있었다. 그러나 여기까지 오는 동안 사식 우리는 선진국의 뒷꽁무니를 혼신의 힘을 다해 뒤쫓아 온 결과라고 보아도 틀리지 않는다. 즉, 앞선자를 보고 뒤쫓는 사람은 갈방향과 목표가 분명하므로 최선을 다하면 따라 잡을 수 있다. 그런데 나노기술은 앞선 사람이 없다는 점이 큰 차이이다 따라서 뒷껑무니를 쫓아가는 습성을 가지고는 개척해 나갈 수 없다는 점을 깨닫지 않으면 안된다. 그런 점에서 이 시간 나노기술의 국내외 현황을 살펴보고 우리가 어떻게 할 것인가를 생각해 보는데 의미가 있을 것이다.하여 분석한 결과 기존의 제한된 RICH-DP는 실시간 서비스에 대한 처리율이 낮아지며 서비스 시간이 보장되지 못했다. 따라서 실시간 서비스에 대한 새로운 제안된 기법을 제안하고 성능 평가한 결과 기존의 RICH-DP보다 성능이 향상됨을 확인 할 수 있었다.(actual world)에서 가상 관성 세계(possible inertia would)로 변화시켜서, 완수동사의 종결점(ending point)을 현실세계에서 가상의 미래 세계로 움직이는 역할을 한다. 결과적으로, IMP는 완수동사의 닫힌 완료 관점을 현실세계에서는 열린 미완료 관점으로 변환시키되, 가상 관성 세계에서는 그대로 닫힌 관점으로 유지 시키는 효과를 가진다. 한국어와 영어의 관점 변환 구문의 차이는 각 언어의 지속부사구의 어휘 목록의 전제(presupposition)의 차이로 설명된다. 본 논문은 영어의 지속부사구는 논항의 하위간격This paper will describe the application based on this approach developed by the authors in the FLEX EXPRIT IV n$^{\circ}$EP29158 in the Work-package "Knowledge Extraction & Data mining"where the information captured from digital newspapers is extracted and reused in tourist information context.terpolation performance of CNN was relatively better than NN.콩과 자연 콩이 성분 분석에서 차이를 나타내지 않았다는 점, 네 번째. 쥐를 통한 다양섭취 실험에서 아무런 이상 반응이 없었다는 점등의 결과를 기준으로 알레르기에 대한 개별 검사 없이 안전한

• Journal of KIISE
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• v.44 no.9
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• pp.932-945
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• 2017

In this paper, a new hardware and software architecture for a stereo vision processing system including rectification, disparity estimation, and visualization was developed. The developed method, named LArge scale stereo matching method using Support Point Interpolation (LASPI), shows excellence in real-time processing for obtaining dense disparity maps from high quality image regions that contain high density support points. In the real-time processing of high definition (HD) images, LASPI does not degrade the quality level of disparity maps compared to existing stereo-matching methods such as Efficient LArge-scale Stereo matching (ELAS). LASPI has been designed to meet a high frame-rate, accurate distance resolution performance, and a low resource usage even in a limited resource environment. These characteristics enable LASPI to be deployed to safety-critical applications such as an obstacle recognition system and distance detection system for autonomous vehicles. A Field Programmable Gate Array (FPGA) for the LASPI algorithm has been implemented in order to support parallel processing and 4-stage pipelining. From various experiments, it was verified that the developed FPGA system (Xilinx Virtex-7 FPGA, 148.5MHz Clock) is capable of processing 30 HD ($1280{\times}720pixels$) frames per second in real-time while it generates disparity maps that are applicable to real vehicles.

• Journal of Science Education
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• v.39 no.3
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• pp.343-357
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• 2015

The present study aims to analyze the extent of the use of STS contents in the areas of 'Evolution of Life' and 'Health of Humanity and Scientific Technology' in 'Science' textbooks and to determine whether they meet the goals of the curriculum revised in 2009. The analysis of the 7 types of textbooks according to the STS topics areas indicated big differences between textbooks as little as 16.67% and as much as 58.33%. Also, among the topics associated with STS, 'Space Development and National Defense' and 'Environmental Problems' were not included. In the STS activity areas, the areas of 'Structured Debate,' 'Interpretation of Data,' 'Research and Investigation' showed great frequency. On the other hand, the STS activity areas of 'Field Activities,' 'Problem-solving and Decision-making,' 'Role Playing,' 'Simulation,' 'Case Study,' and 'Research Design' showed small frequency. Analysis of the STS contents for each area indicated 67.57% for the contents relevant to 'the applicability of science' accounting for the largest part whereas 'Understanding of Occupations related to Science' accounted for 1.63%, showing a great difference in their frequency. Seven standards except 'the applicability of science' were included each contents beyond 10% or less than 10% proportion. The STS contents included in the life science area of the 7 types of convergence-style 'Science' textbooks for the high-school accounted for an average of 20.75%, from as little as 12.35% to as much as 26.90%, depending on the publishes.

• Journal of Broadcast Engineering
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• v.20 no.1
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• pp.140-152
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• 2015

HCI(Human Computer Interaction) enables the interaction between people and computers by using a human-familiar interface called as Modality. Recently, to provide an optimal interface according to various devices and service environment, an advanced HCI method using multiple modalities is intensively studied. However, the multimodal interface has difficulties that modalities have different data formats and are hard to be cooperated efficiently. To solve this problem, a multimodal communicator is introduced, which is based on EMMA(Extensible Multimodal Annotation Markup language) and MMI(Multimodal Interaction Framework) of W3C(World Wide Web Consortium) standards. This standard based framework consisting of modality component, interaction manager, and presentation component makes multiple modalities interoperable and provides a wide expansion capability for other modalities. Experimental results show that the multimodal communicator is facilitated by using multiple modalities of eye tracking and gesture recognition for a map browsing scenario.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.4
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• pp.50-58
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• 2017

Recently, some methods of converging heterogeneous fire sensor data have been proposed for effective fire detection, but the rule-based methods have low adaptability and accuracy, and the fuzzy inference methods suffer from detection speed and accuracy by lack of consideration for images. In addition, a few image-based deep learning methods were researched, but it was too difficult to rapidly recognize the fire event in absence of cameras or out of scope of a camera in practical situations. In this paper, we propose a novel fire detection system combining a deep learning algorithm based on CNN and fuzzy inference engine based on heterogeneous fire sensor data including temperature, humidity, gas, and smoke density. we show it is possible for the proposed system to rapidly detect fire by utilizing images and to decide fire in a reliable way by utilizing multi-sensor data. Also, we apply distributed computing architecture to fire detection algorithm in order to avoid concentration of computing power on a server and to enhance scalability as a result. Finally, we prove the performance of the system through two experiments by means of NIST's fire dynamics simulator in both cases of an explosively spreading fire and a gradually growing fire.

• Korean journal of communication and information
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• v.79
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• pp.140-164
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• 2016

What is an appropriate length of an article in the mobile era producing new tastes of contents combining computing and mobile communication? Is it still valid to have a lengthy article as high level journalism even in the mobile era? Is there any possibility to have a short article combination to give us readability and the amount of information? This study aims to find some answers to these questions. The length of articles were controlled with a field experiment; from an article of 346 syllables(including spaces between syllables) which does not need finger scrolling on a mobile phone to articles of 633, 1033, 1368 syllables(including spaces between syllables) which frequently appear in newspapers and broadcasting news program. All the main themes were same for 4 articles which have different length. Three hundred and eighty four students viewed one of the 4 articles through mobile phone or newspaper. Each participant checked their preference and evaluated quality on the article, were asked to recall contents of the article. In newspaper group, articles with 346 or 1033 syllables were highly evaluated. Mobile group seemed to prefer articles of 346 or 633 syllables. In conclusion, we need to consider various strategies shortening the length of an article into 346 or 633 syllables as a basic format to meet the neEds of mobile era.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.6
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• pp.405-416
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• 2019

Due to the development of information and communication technology, the production and processing speed of data is getting faster. To classify objects using machine learning, which is a field of artificial intelligence, data required for training can be easily collected due to the development of internet and geospatial information technology. In the field of geospatial information, machine learning is also being applied to classify or recognize objects using images and point clouds. In this study, the problem of manually constructing training data using existing digital map version 1.0 was improved, and the technique of classifying roads, buildings and vegetation using image and point clouds were proposed. Through experiments, it was possible to classify roads, buildings, and vegetation that could clearly distinguish colors when using true ortho-image with only RGB (Red, Green, Blue) bands. However, if the colors of the objects to be classified are similar, it was possible to identify the limitations of poor classification of the objects. To improve the limitations, random forest and support vector machine techniques were applied after band fusion of true ortho-image and normalized digital surface model, and roads, buildings, and vegetation were classified with more than 85% accuracy.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.6
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• pp.841-852
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• 2009

The aim of the study was to quantify and explore the causal relationships of appearance management through an analysis of one's own clothing and wearing experience, namely clothing preference, personality factors, emotion and mood, newness, familiarity of one's own clothing, and social interaction. Explorative quantitative and qualitative research was carried out using a uniformly composed sample of 10 size 12 females. A personality questionnaire was completed a short while prior to the study. A 10 day ‘wearing diary’ was administered to record where and when outfits were worn. Two questionnaires were completed measure emotion and mood, prior to changing into clothing (a daily baseline), and when they were wearing or changed clothing (dynamic mood). Qualitative information was recorded and included their thoughts and feelings other than the questionnaires, along with photographs that were taken by participants. Preference, social and newness ratings for each outfit worn were recorded after the 10 day period. SPSS analysis identified relationships and linear regression analysis identified preference indicators. Thematic analysis identified 9 themes regarding the management of mood, personality and social factors when wearing one's own clothing. The results indicated strong relationships between emotion, mood, personality and preference and how much newness and different levels of social interaction influence these factors. Participants tended to match their mood and personality with their clothing choices but in some cases also compensated. This research recognises the value of consumer psychological processes involved in appearance management, and has implications for further research into product involvement, post-purchase behaviour and retail strategies for personal shoppers.

• The Journal of Society for e-Business Studies
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• v.13 no.1
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• pp.21-32
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• 2008

RFID systems provide technologies of automatic object identification through wireless communications in invisible ranges and adaptability against various circumstances. These advantages make RFID systems to be applied in various fields of industries and individual life. However, it is difficult to use tags with distinction as tags are increasingly used in life because a tag usually stores only one object identifier in common RFID applications. In addition, RFID systems often make serious violation of privacy caused by various attacks because of their weakness of radio frequency communication. Therefore, information sharing methods among applications are necessary for expansive development of RFID systems. In this paper, we propose efficient RFID scheme. At first, we design a new RFID tag structure which supports many object identifiers of different applications in a tag and allows those applications to access them simultaneously. Secondly, we propose an authentication protocol to support the proposed tag structure. The proposed protocol is designed by considering of robustness against various attacks in low cost RFID systems. Especially, the proposed protocol is focused on efficiency of authentication procedure by considering security levels of applications. In the proposed protocol, each application goes through one of different authentication procedures according to their security levels. Finally, we prove efficiency of th proposed scheme compared with the other schemes through experiments and evaluation.

• Journal of Life Science
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• v.18 no.8
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• pp.1115-1122
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• 2008

The purpose of this study is to identify the effect of rope-jumping to music with weight loading on middle school girls' blood lipid and growth hormone. Toward this end, the study targeted 24 middle school girls at Y Girls' Middle School in Yangsan, Gyeongnam, who have no health problems or exercise experience, after sufficiently explaining to them the study's purpose. The selected students were categorized into a music rope-jumping group (8), a music rope-jumping group with weight loading (8), and a control group (8). In a comparison of blood lipid within the exercise groups showed that the music rope-jumping groups' measures changed significantly by demonstrating increases or decreases in RBC, T-C, TG, HDL-C and LDL-C (p<0.05). The music rope-jumping group with weight loading showed significant differences in WBC, RBC, glucose, T-C, TG, HDL-C and LDL-C by demonstrating increases of decreases (p<0.05). A comparison between the exercise groups revealed that the music rope-jumping group showed significant increases in growth hormone (p<0.05). The music rope-jumping group with weight loading also showed significant increases in growth hormone (p<0.05). The study's results identified music jump-roping with weight loading to effect students' blood lipids and growth hormone.