• 제목/요약/키워드: "One text

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한 손을 이용한 스마트폰 터치키 문자입력에서 선호손의 수행도 분석 (Performance Analysis of Text Entry with Preferred One Hand using Smart Phone Touch-keyboard)

  • 류태범
    • 대한인간공학회지
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    • 제30권1호
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    • pp.259-264
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    • 2011
  • Does preferred hand show better performance than non-preferred hand in smart phone text entry using one hand. Is the performance of subjects who use left-preferred hand in smart phone text entry worse than that of others who use right preferred hand among the right handed. This study tried to address these two questions. Thirty young male undergraduate students typed a text using a smart phone which has a touch-based QWERTY keyboard two times with both hands, right and left hand, respectively. The completion time, errors were measured in the text entry tasks. All of participants were right handed, but half of them preferred right hand if they have to use one hand in smart phone text entry and other half preferred left hand. The percentage that preferred hand has better performance than non-preferred hand in smart phone text entry using one hand is less than 90% for right-preferred hand and less than 70% for left-preferred hand. The performance of left hand preferred students is not worse than that of the right hand preferred in one hand text entry of smart phone.

Understanding Mobile e-Text Communication with the Framework of Orality and Literacy: Student Perception of Non-verbal Texts

  • LEE, Hye-Jung;HONG, Young-il;KIM, Yoon-Jung
    • Educational Technology International
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    • 제13권1호
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    • pp.49-77
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    • 2012
  • The development of mobile devices and network technology is changing the ways in which people communicate with one another. Mobile text message has emerged as one of the most frequently used form of communication, which also gave rise to various non-verbal texts such as emoticons. Nonetheless, the use of text messages has largely been denied in education because text messages often involve colloquial and non-verbal texts considered inappropriate or grammatically incorrect by the teacher. In efforts to provide a theoretical framework to better understand mobile e-text communication, this research compared the practical usages of non-verbal texts in the mobile e-learning environment. The study developed three types of text messages according to the degree of using non-verbal texts and their phraseology as instructors' messages, which were then distributed to 259 students via mobile text messaging. The perceptions of students were analyzed using a semantic differential scale and a questionnaire. The results showed clear differences in students' perceptions of non-verbal text and traditional text, and that optimally designed non-verbal texts turned out to encourage the students' interaction the most out of the three types of text messages. Following the discussion of the results, an expanded theoretical framework beyond Ong's concepts of orality and literacy is also suggested to understand the evolution of mobile e-text communication in education.

CNN-based Skip-Gram Method for Improving Classification Accuracy of Chinese Text

  • Xu, Wenhua;Huang, Hao;Zhang, Jie;Gu, Hao;Yang, Jie;Gui, Guan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권12호
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    • pp.6080-6096
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    • 2019
  • Text classification is one of the fundamental techniques in natural language processing. Numerous studies are based on text classification, such as news subject classification, question answering system classification, and movie review classification. Traditional text classification methods are used to extract features and then classify them. However, traditional methods are too complex to operate, and their accuracy is not sufficiently high. Recently, convolutional neural network (CNN) based one-hot method has been proposed in text classification to solve this problem. In this paper, we propose an improved method using CNN based skip-gram method for Chinese text classification and it conducts in Sogou news corpus. Experimental results indicate that CNN with the skip-gram model performs more efficiently than CNN-based one-hot method.

Arabic Handwritten Manuscripts Text Recognition: A Systematic Review

  • Alghamdi, Arwa;Alluhaybi, Dareen;Almehmadi, Doaa;Alameer, Khadijah;Siddeq, Sundos Bin;Alsubait, Tahani
    • International Journal of Computer Science & Network Security
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    • 제22권11호
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    • pp.319-323
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    • 2022
  • Handwritten text recognition is one of the active research areas nowadays. The progress in this field differs in every language. For example, the progress in Arabic handwritten text recognition is still insignificant and needs more attentions and efforts. One of the most important fields in this is Arabic handwritten manuscript text recognition which focuses in extracting text from historical manuscripts. For eons, ancients used manuscripts to write everything. Nowadays, there are millions of manuscripts all around the world. There are two main challenges in dealing with these manuscripts. The first one is that they are at the risk of damage since they are written in primitive materials, the second challenge is due to the difference in writing styles, hence most people are unable to read these manuscripts easily. Therefore, we discuss in this study different papers that are related to this important research field.

Arabic Text Clustering Methods and Suggested Solutions for Theme-Based Quran Clustering: Analysis of Literature

  • Bsoul, Qusay;Abdul Salam, Rosalina;Atwan, Jaffar;Jawarneh, Malik
    • Journal of Information Science Theory and Practice
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    • 제9권4호
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    • pp.15-34
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    • 2021
  • Text clustering is one of the most commonly used methods for detecting themes or types of documents. Text clustering is used in many fields, but its effectiveness is still not sufficient to be used for the understanding of Arabic text, especially with respect to terms extraction, unsupervised feature selection, and clustering algorithms. In most cases, terms extraction focuses on nouns. Clustering simplifies the understanding of an Arabic text like the text of the Quran; it is important not only for Muslims but for all people who want to know more about Islam. This paper discusses the complexity and limitations of Arabic text clustering in the Quran based on their themes. Unsupervised feature selection does not consider the relationships between the selected features. One weakness of clustering algorithms is that the selection of the optimal initial centroid still depends on chances and manual settings. Consequently, this paper reviews literature about the three major stages of Arabic clustering: terms extraction, unsupervised feature selection, and clustering. Six experiments were conducted to demonstrate previously un-discussed problems related to the metrics used for feature selection and clustering. Suggestions to improve clustering of the Quran based on themes are presented and discussed.

한 손가락 문자 입력을 위한 한글 Soft-keyboard 배열에 관한 연구 (A Study of Korean Soft-keyboard Layout for One Finger Text Entry)

  • 공병돈;홍승권;조성식;명노해
    • 산업공학
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    • 제22권4호
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    • pp.329-335
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    • 2009
  • Recently, the use of soft-keyboard is widespread and increases, because various handheld devices were developed such as PDA, navigation, mobile phones with enhanced competence of touchscreen. The use of soft-keyboard requires different characteristics compared to traditional hard-keyboard like QWERTY keyboard: no standard character layout, one finger entry, and cognitive processing time. In this study, therefore, the optimal soft-keyboard layout for one finger text entry in touchscreen environment was investigated among 6 keyboard layouts which were developed based on traditional characteristic of Korean text and the usage frequency of both vowels and consonants. As a result, the interface with Korean text invention order like 'ㄱㄴㄷㄹ' or 'ㅏㅑㅓㅕㅕ' was found to be better than the interface with usage frequency-based arrangement. Especially the vowels were most efficient when separated into two parts; located at the right-hand side and at right below the consonants. In conclusion, the keyboard layout with regard to the Korean text characteristic and the invention order was a more effective layout resulted from the minimum cognitive processing time.

텍스트의 은유적 구조 (The Metaphorical Structure of the Text)

  • 박찬부
    • 영어영문학
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    • 제57권5호
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    • pp.871-887
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    • 2011
  • In Lacanian terms, the real, which is a non-representative Ding an sich, is indirectly approachable only in and through language. This 'speaking of the real' is made possible through a restoration of the missing link between one signifier, S1 and another signifier, S2, as is manifested in the Lacanian formula of metaphor. In Freudian terms of textual metaphor, the missing link is restored by substituting a new edition for an old edition of one's historical text of life. This is what this essay means by the metaphorical/dualistic structure of the analytic/literary text. And this is a way of talking about an intertextuality between literature and psychoanalysis in the sense of the 'text as psyche' and the 'psyche as text.' Applying the 'signifying substitution' to the Oedipus complex, the Oedipal child can find a meaning(s), "my erotic indulgement with my Mom is wrong" by metaphorically substituting S2: the Name of the Father for S1: the Desire of the Mother. This meaning leads to the constitution of the human subject and the formation of the incest taboo, one of the most significant distinctive features of the human being as distinguished from the animals. We can see a similar metaphorical structure of S1-S2 taking place in the literary texts such as Macbeth and "Dover Beach": in the course of the stage of life being substituted for the primal scene in the former, and the plain of Tucydides for a bed scene in the latter, respectively.

오류 학습 문서 제거를 통한 문서 범주화 기법의 성능 향상 (A Text Categorization Method Improved by Removing Noisy Training Documents)

  • 한형동;고영중;서정연
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제32권9호
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    • pp.912-919
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    • 2005
  • 문서 범주화에서 이진 분류를 다중 분류에 적용할 때 일반적으로 '한 범주에 적합-다른 모든 범주에서는 부적합(One-Against-All) 판정 방법'을 사용한다. 하지만, 이러한 '한 범주에 적합-다른 모든 범주에서는 부적합 판정 방법'은 한 가지 문제점을 가지는데, 적합(positive) 집합의 문서들은 사람이 직접범주를 할당한 것이지만 부적합(negative) 집합의 문서들은 사람이 직접 범주를 할당한 것이 아니기 때문에 오류 문서들이 많이 포함될 수 있다는 것이다. 본 논문에서는 이러한 문제점을 해결하기 위해서 슬라이딩 원도우(sliding window) 기법과 EM 알고리즘을 이진 분류 기반의 문서 범주화에 적용할 것을 제안한다. 제안된 기법은 먼저 슬라이딩 윈도우 기법을 사용하여 오류 문서들을 추출하고 이들을 EM알고리즘을 사용해서 다시 범주를 할당함으로써 이진 분류 기반의 문서 범주화 기법의 성능을 향상시킨다.

유한환의 일향함수를 이용한 암호화에 대하여 (On the Enciphering by Using One-Way Function of the Finite Ring)

  • 김철
    • 정보보호학회논문지
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    • 제1권1호
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    • pp.79-84
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    • 1991
  • 본 논문에서는 유한환(finite ring)의 이론으로 부터 하나의 일향함수(one-way function)를 만든다. 이때의 일향함수는 다른 방향은 계산적으로 어려운 일향함수라는 의미로 쓴다. 주어진 환(ring)에 대한 군의 작용(group action)을 이용하여 이 함수를 만들었으며 평문(plain text)의 암호화에 응용될 수 있음을 설명한다. 이 함수에 의한 암호문을 해독하는 것은, 이론적으로 불가능하지는 않으나, 소인수 분해(factoring)의 어려움에 근거한 암호 시스템, 예를 들면 RSA 암호 시스템과 같이 계산이 어려운 문제이다.

원키 키보드: 웨어러블 컴퓨팅 환경에서 문자입력을 지원하는 초소형 QWERTY 키보드 (One-key Keyboard: A Very Small QWERTY Keyboard Supporting Text Entry for Wearable Computing)

  • 이우훈;손민정
    • 한국HCI학회논문지
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    • 제1권1호
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    • pp.21-28
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    • 2006
  • 상용화된 웨어러블 컴퓨팅용 문자입력장치 중 팔목에착용하는 키보드가 많은데 대부분 소형화를 위해 키 수를 줄이는 방식을 택하고 있다. 하지만 충분한 착용성 확보를 위해 키보드의 키 수를 대폭 줄일 경우 보통 문자당 키입력수(KSPC)가 증가하기 때문에 입력효율이 저하되고 학습을 위해 부가적인 노력이 요구되는 등 우수한 웨어러블 키보드를 개발하는데 있어 착용성과 사용성이 상충하는 문제상황에 직면하게 된다. 본 연구는 이런 문제를 해결하기 위해 키 간격을 줄여 극적으로 키보드를 소형화할 수 있는 방법을 탐색하였다. 일련의 실험을 통해 키 간격 7mm인 키보드의 경우 물리적 폼팩터차원에서 착용성과 사회적 수용성이 충분히 긍정적이고 문자입력속도가 3세션 평균 15.0WPM 정도의 가능성 있는 결과를 도출했다. 하지만 수동적인 촉각 피드백과 입력에 대한 충분한 시각적 피드백의 부재가 문자입력수행도를 저하시킨다는 실험참가자들의 지적에 따라 원키 키보드라는 개념을 제안하였다. 전통적인 키보드의 경우 하나의 키에 하나의 문자가 할당한다. 반면 원키 키보드의 경우는 $70mm{\times}35mm$ 사이즈의 단일 키 위에 10*5배열의 QWERTY 키보드 문자배열을 모두 표시하였다. 따라서 일반적인 키보드와는 달리 키 판에서 어떤 문자를 입력했는지 키 입력 순간 손가락의 위치를 센싱하여 해당 문자를 계산하도록 하였다. 원키 키보드에 대한 입력효율 평가를 통해 5세션 평균 18.9WPM의 입력속도와 6.7%에러율을 기록했으면 최고 24.5WPM을 기록했다. 실험결과를 통해 본 연구에서 제안한 원키 키보드는 웨어러블 컴퓨팅 환경에서 착용성, 사회적 수용성, 입력효율성, 학습용이성 등의 상충적 요소에 대한 적절한 절충점을 제시하는 가능성 있는 문자입력장치로 평가되었다.

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