• Title/Summary/Keyword: Text Messages

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Object Detection and Optical Character Recognition for Mobile-based Air Writing (모바일 기반 Air Writing을 위한 객체 탐지 및 광학 문자 인식 방법)

  • Kim, Tae-Il;Ko, Young-Jin;Kim, Tae-Young
    • The Journal of Korean Institute of Next Generation Computing
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    • v.15 no.5
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    • pp.53-63
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    • 2019
  • To provide a hand gesture interface through deep learning in mobile environments, research on the light-weighting of networks is essential for high recognition rates while at the same time preventing degradation of execution speed. This paper proposes a method of real-time recognition of written characters in the air using a finger on mobile devices through the light-weighting of deep-learning model. Based on the SSD (Single Shot Detector), which is an object detection model that utilizes MobileNet as a feature extractor, it detects index finger and generates a result text image by following fingertip path. Then, the image is sent to the server to recognize the characters based on the learned OCR model. To verify our method, 12 users tested 1,000 words using a GALAXY S10+ and recognized their finger with an average accuracy of 88.6%, indicating that recognized text was printed within 124 ms and could be used in real-time. Results of this research can be used to send simple text messages, memos, and air signatures using a finger in mobile environments.

Deep Neural Architecture for Recovering Dropped Pronouns in Korean

  • Jung, Sangkeun;Lee, Changki
    • ETRI Journal
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    • v.40 no.2
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    • pp.257-265
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    • 2018
  • Pronouns are frequently dropped in Korean sentences, especially in text messages in the mobile phone environment. Restoring dropped pronouns can be a beneficial preprocessing task for machine translation, information extraction, spoken dialog systems, and many other applications. In this work, we address the problem of dropped pronoun recovery by resolving two simultaneous subtasks: detecting zero-pronoun sentences and determining the type of dropped pronouns. The problems are statistically modeled by encoding the sentence and classifying types of dropped pronouns using a recurrent neural network (RNN) architecture. Various RNN-based encoding architectures were investigated, and the stacked RNN was shown to be the best model for Korean zero-pronoun recovery. The proposed method does not require any manual features to be implemented; nevertheless, it shows good performance.

An Implementation and Application of XML Hub System using SOAP (SOAP을 이용한 XML Hub 시스템 구현 및 활용)

  • 김용수;주경수
    • The Journal of Society for e-Business Studies
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    • v.8 no.1
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    • pp.141-154
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    • 2003
  • SOAP is a protocol used for information exchange in distributed computing environment and SOAP defines mechanisms for message transferring between distributed system and remote procedure call/response process. This SOAP is able to be used independently on hardware platforms and operating systems and program languages because it uses only a text-based XML for protocol. Therefore ebXML that is a standard for E-Commerce adopts SOAP for message exchange. In this paper, we implement XML Hub System using SOAP and apply on the system e-Procurement. By this XML Hub System we can more easily exchange messages for B2B. Accordingly we can manage and integrate a lots of business partners.

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Performance Comparison of Naive Bayesian Learning and Centroid-Based Classification for e-Mail Classification (전자메일 분류를 위한 나이브 베이지안 학습과 중심점 기반 분류의 성능 비교)

  • Kim, Kuk-Pyo;Kwon, Young-S.
    • IE interfaces
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    • v.18 no.1
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    • pp.10-21
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    • 2005
  • With the increasing proliferation of World Wide Web, electronic mail systems have become very widely used communication tools. Researches on e-mail classification have been very important in that e-mail classification system is a major engine for e-mail response management systems which mine unstructured e-mail messages and automatically categorize them. In this research we compare the performance of Naive Bayesian learning and Centroid-Based Classification using the different data set of an on-line shopping mall and a credit card company. We analyze which method performs better under which conditions. We compared classification accuracy of them which depends on structure and size of train set and increasing numbers of class. The experimental results indicate that Naive Bayesian learning performs better, while Centroid-Based Classification is more robust in terms of classification accuracy.

A Study on Activation of Cyber University Communities and Participation in e-Learning (e-Learning에서의 커뮤니티 활성화와 학습참여도에 관한 연구)

  • Rhie, Jinn-Y
    • Proceedings of the Korea Contents Association Conference
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    • 2006.05a
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    • pp.39-42
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    • 2006
  • I analyzed the results of the influences the community activities will have on students' participation and how much these influences will satisfy students in terms of learning in an e-learning-based environment. These results were based on former studies on this topic. I summarized the characteristics of community activities, the methods for motivating learning desire, and students' participation in the learning session. I found out that community activities can form intimacy, and that using cell phone text messages (SMS) and emails as learning methods can be a factor in students' participation.

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The effects of emotional characteristics of adolescents on cell phone addiction (청소년의 정서적 특성이 휴대폰 중독에 미치는 영향)

  • Sohn, Shinyoung
    • The Journal of Korean Society for School & Community Health Education
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    • v.14 no.1
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    • pp.1-12
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    • 2013
  • Purpose: This study aimed to identify the influencing the effects of emotional characteristics of adolescents on cell phone addiction and to form the basis for the developments of programs to protect addictive cell phone use. Methods: The data of the Korean Child-Youth Panel Survey(KCYPS) was analyzed using the SPSS 18.0 program. Results: The influencing factors of the cell phone addiction were gender, attention, physical symptoms, depression, aggression, social withdrawal, games and entertainment, listening to music, text messages, call family and watching movies. The factors accounted for 30.6% of variance in cell phone addiction. Conclusions: These results suggest that cell phone addiction are influenced by emotional characteristics of adolescents. These results may contribute to development of programs to prevent cell phone addiction.

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Development of voice pen-pal application of global communication system by voice message

  • Lau, Shuai
    • Korean Journal of Artificial Intelligence
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    • v.2 no.1
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    • pp.1-3
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    • 2014
  • These days, interest and demand on smart learning has rapidly increased. Video English and mobile system based English speaking service have become popular. This study gave prototype of application to give and take voice message with world people and to give new concept of voice pen-pal beyond exchange of text messages. In modern society having rapidly increasing demand on smart learning, you can study foreign language by smart phone and communicate with foreigners by voice anytime and anywhere. The app allows global exchange to learn conversation. Recruitment of initial users and profit model have problems. We shall develop to improve problems and to solve difficulty.

Designing and Implementing Message Broker System based on SOAP (SOAP 기반의 메시지 Broker 시스템 설계 및 구현)

  • 김용수;주경수
    • Journal of Korea Multimedia Society
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    • v.6 no.6
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    • pp.1071-1078
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    • 2003
  • SOAP is a protocol used for information exchange in distributed computing environment and SOAP defines mechanisms for message transferring between distributed system and remote procedure call/response process. This SOAP is able to be used independently on operating systems and program languages because it uses only a text-based XML for protocol. Therefor ebXML that is a standard for E-Commerce adopts SOAP for message exchange. In this paper, we developed Message Broker System based on SOAP. By this Message Broker System we can more easily exchange messages for B2B. Accordingly we can manage and integrate a lots of business partners.

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Automatic Acquisition of Domain Concepts for Ontology Learning using Affinity Propagation (온톨로지 학습을 위한 Affinity Propagation 기반의 도메인 컨셉 자동 획득 기법에 관한 연구)

  • Qasim, Iqbal;Jeong, Jin-Woo;Lee, Dong-Ho
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06c
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    • pp.168-171
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    • 2011
  • One important issue in semantic web is identification and selection of domain concepts for domain ontology learning when several hundreds or even thousands of terms are extracted and available from relevant text documents shared among the members of a domain. We present a novel domain concept acquisition and selection approach for ontology learning that uses affinity propagation algorithm, which takes as input semantic and structural similarity between pairs of extracted terms called data points. Real-valued messages are passed between data points (terms) until high quality set of exemplars (concepts) and cluster iteratively emerges. All exemplars will be considered as domain concepts for learning domain ontologies. Our empirical results show that our approach achieves high precision and recall in selection of domain concepts using less number of iterations.

An Implementation of TPEG Transmission and Reception Systems Based on Digital Radio Mondiale (DRM 기반 TPEG 송.수신 시스템 구현)

  • Kwon, Ki-Won;Park, Kyung-Won;Jeon, Won-Gi;Choi, Young-Keon;Chang, Tae-Wook
    • 한국정보통신설비학회:학술대회논문집
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    • 2008.08a
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    • pp.125-128
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    • 2008
  • In this paper, the Transport Protocol Experts Group(TPEG) transmission and reception system based on Digital Radio Mondiale(DRM) is implemented for traffic information services. DRM stands for the European radio broadcasting standard to bring AM radio into digital radio, designed to work at frequencies below 30MHz. DRM can offer various data services such as text messages and a slide show service as well as audio services. In spite of low datarate, the TPEG system on DRM has an advantage that the traffic information service system for whole country can be established because DRM can offer wider service ranges than terrestrial-digital multimedia broadcasting(T-DMB) and simply archive a single frequency network.

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