• Patent21
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• s.71
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• pp.41-41
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• 2007

한국특허정보원은 지식정보화 사회에 부응하는 국가 특허기술정보 인프라(infra)를 구축하고 우수발명의 창출과 첨단기술개발의 도우미 역활을 수행하며, 산업계,학계 및 연구소 등에 국내.외 산업재산권 정보를 효율적으로 보급,산업의 국가경쟁력을 제고하고 기술발전에 기여함을 목적으로 설립된 특허청 산하특허기술정보서비스전문기관입니다.

• Proceedings of the Korean Society for Information Management Conference
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• 2000.08a
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• pp.107-112
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• 2000

본 연구에서는 데이터웨어하우스의 개념에 대해 살려본 뒤, 데이터마이닝 개념 및 구축방법을 살펴하고, 이를 이용한 검색엔진인 northernlight와 google에 대해 기존의 검색엔진과 비교해서 분석하고자 한다.

• Digital Contents
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• no.10 s.161
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• pp.102-117
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• 2006

지식정보화사회가 도래함에 따라 지식과 정보의 중요성이 더욱 대두되고 있으며 IT 기술의 급속한 발전은 지식의 기술 기반화, 정보 환경화를 가져왔다. 인터넷 사용이 급속도로 증가하면서 필요한 정보들은 지식 검색서비스를 이용해 찾는 것이 일상화 되었다. 이에 검색기술환경의 변화에 따른 지식검색서비스의 등장과 일상화 추세를 통해 지식의 개념과 특징, 지식검색서비스의 체계를 살펴보는 것은 지식 정보화 사회를 살아가는 이들에게 의미 있는 연구가 될 것이다.

• Journal of the Korean Professional Engineers Association
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• v.43 no.4
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• pp.39-43
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• 2010

What was the reason why Apple, a mere "rookie", got ahead of all the veterans before it? What influence will the newly released Ipad have? This writing will cover why people are clamoring over Iphones and Ipads. In addition, it will also discuss if Apple will be able to challenge Google's dominance on the web world using Ipods, Iphones, Ipads as weapons.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.11a
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• pp.21-22
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• 2011

• Archives of Plastic Surgery
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• v.50 no.2
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• pp.210-212
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• 2023

• Journal of Digital Contents Society
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• v.14 no.4
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• pp.447-454
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• 2013

As the surveillance CCTVs are increasing every year, big data image processing for the CCTV image data has become a hot issue. In this paper, we propose a Hadoop-based big data image processing technique to recognize a vehicle number from a large amount of automatic number plate images taken from CCTVs. We also implement the vehicle route tracking system that displays the moving path of the searched vehicle on Google Maps with the related information together. In order to evaluate the performance we compare and analysis the vehicle number recognition time for a lot of CCTV image data in Hadoop and the single PC environment.

• Journal of Internet Computing and Services
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• v.21 no.4
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• pp.69-76
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• 2020

This paper presents direction for efficient software education. Due to the impact of the Fourth Industrial Revolution, the whole world is interested in software education. However, simply teaching how to code is not software education. The thinking abilities used in coding for software implementation are even more important. Therefore, computational thinking is getting great attention. Several institutions suggest factors for computational thinking and encourage to teach in a relevant way based on the suggestion. In this study, the verification of the factors they suggested was conducted through a questionnaire. The total of 419 freshman students of the College of Social Sciences who were taking "Computational Thinking and Software Coding" class participated in the survey at the beginning and the end of the semester. We first analyzed Wing's proposal that summarized the concept of computational thinking, and reviewed the proposal of ISTE (International Society for Technology in Education) for defining computational thinking factors for coding education, also checked on the suggestion of Google for factors necessary for software coding. As a result of research analysis, this paper suggests a direction for efficient software education.

• Phonetics and Speech Sciences
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• v.10 no.1
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• pp.39-48
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• 2018

A typical statistical parametric speech synthesis (text-to-speech, TTS) system consists of separate modules, such as a text analysis module, an acoustic modeling module, and a speech synthesis module. This causes two problems: 1) expert knowledge of each module is required, and 2) errors generated in each module accumulate passing through each module. An end-to-end TTS system could avoid such problems by synthesizing voice signals directly from an input string. In this study, we implemented an end-to-end Korean TTS system using Google's Tacotron, which is an end-to-end TTS system based on a sequence-to-sequence model with attention mechanism. We used 4392 utterances spoken by a Korean female speaker, an amount that corresponds to 37% of the dataset Google used for training Tacotron. Our system obtained mean opinion score (MOS) 2.98 and degradation mean opinion score (DMOS) 3.25. We will discuss the factors which affected training of the system. Experiments demonstrate that the post-processing network needs to be designed considering output language and input characters and that according to the amount of training data, the maximum value of n for n-grams modeled by the encoder should be small enough.

• Journal of Satellite, Information and Communications
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• v.9 no.3
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• pp.70-73
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• 2014

In this paper, we measure and analyze strength of Beacon signal in Picocell environment by using the frequency of WiFi of ISM band. It is displaying the value what measured by using a beacon signal measurement smartphone app in using AP area, on Google maps using the PC application. the data measured by using mapped GPS signal and RSSI of beacon signal, and convert this data to Position coordinates for Google map in PC. when use this system, we can understand and analyze changes of radio signal through location where installed AP.