• Title/Summary/Keyword: word line

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A Test Algorithm for Word-Line and Bit-line Sensitive Faults in High-Density Memories (고집적 메모리에서 Word-Line과 Bit-Line에 민감한 고장을 위한 테스트 알고리즘)

  • 강동철;양명국;조상복
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.40 no.4
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    • pp.74-84
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    • 2003
  • Conventional test algorithms do not effectively detect faults by word-line and bit-line coupling noise resulting from the increase of the density of memories. In this paper, the possibility of faults caused by word-line coupling noise is shown, and new fault model, WLSFs(Word-Line Sensitive Fault) is proposed. We also introduce the algorithm considering both word-line and bit-line coupling noise simultaneously. The algorithm increases probability of faults which means improved fault coverage and more effective test algorithm, compared to conventional ones. The proposed algorithm can also cover conventional basic faults which are stuck-at faults, transition faults and coupling faults within a five-cell physical neighborhood.

A Word Line Ramping Technique to Suppress the Program Disturbance of NAND Flash Memory

  • Lee, Jin-Wook;Lee, Yeong-Taek;Taehee Cho;Lee, Seungjae;Kim, Dong-Hwan;Wook-Ghee, Hahn;Lim, Young-Ho;Suh, Kang-Deog
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.1 no.2
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    • pp.125-131
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    • 2001
  • When the program voltage is applied to a word line, a part of the boosted channel charge in inhibited bit lines is lost due to the coupling between the string select line (SSL) and the adjacent word line. This phenomenon causes the program disturbance in the cells connected to the inhibited bit lines. This program disturbance becomes more serious, as the word line pitch is decreased. To reduce the word line coupling, the rising edge of the word-line voltage waveform was changed from a pulse step into a ramp waveform with a controlled slope. The word-line ramping circuit was composed of a timer, a decoder, a 8 b D/A converter, a comparator, and a high voltage switch pump (HVSP). The ramping voltage was generated by using a stepping waveform. The rising time and the stepping number of the word-line voltage for programming were set to $\mutextrm{m}-$ and 8, respectively,. The ramping circuit was used in a 512Mb NAND flash memory fabricated with a $0.15-\mutextrm{m}$ CMOS technology, reducing the SSL coupling voltage from 1.4V into a value below 0.4V.

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A Low Power ROM using Charge Recycling and Charge Sharing (전하 재활용과 전하 공유를 이용한 저전력 롬)

  • 양병도;김이섭
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.40 no.7
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    • pp.532-541
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    • 2003
  • In a memory, most power is dissipated in high capacitive lines such as predecoder lines, word lines, and bit lines. To reduce the power dissipation in these high capacitive lines, this paper proposes three techniques using charge recycling and charge sharing. One is the charge recycling predecoder (CRPD). The second one is the charge recycling word line decoder (CRWD). The last one is the charge sharing bit line (CSBL) for a ROM. The CRPD and the CRWD recycle the previously used charge in predecoder lines and word lines. Theoretically, the power consumption in predecoder lines and word lines are reduced to a half. The CSBL reduces the swing voltage in the ROM bit lines to very small voltage using a charge sharing technique. the CSBL can significantly reduce the power dissipation in ROM bit lines. The CRPD, the CRWD, and the CSBL consume 82%, 72%, and 64% of the power of previous ROM designs respectively. A charge recycling and charge sharing ROM (CRCS-ROM) with the CRPD, the CRWD, and the CSBL is implemented. A CRCS-ROM with 8K16bits was fabricated in a 0.3${\mu}{\textrm}{m}$ CMOS process. The CRCS-ROM consumes 8.63㎽ at 100MHz with 3.3V. The chip core area is 0.1 $\textrm{mm}^2$.

Word Segmentation in Handwritten Korean Text Lines based on GAP Clustering (GAP 군집화에 기반한 필기 한글 단어 분리)

  • Jeong, Seon-Hwa;Kim, Soo-Hyung
    • Journal of KIISE:Software and Applications
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    • v.27 no.6
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    • pp.660-667
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    • 2000
  • In this paper, a word segmentation method for handwritten Korean text line images is proposed. The method uses gap information to segment words in line images, where the gap is defined as a white run obtained after vertical projection of line images. Each gap is assigned to one of inter-word gap and inter-character gap based on gap distance. We take up three distance measures which have been proposed for the word segmentation of handwritten English text line images. Then we test three clustering techniques to detect the best combination of gap metrics and classification techniques for Korean text line images. The experiment has been done with 305 text line images extracted manually from live mail pieces. The experimental result demonstrates the superiority of BB(Bounding Box) distance measure and sequential clustering approach, in which the cumulative word segmentation accuracy up to the third hypothesis is 88.52%. Given a line image, the processing time is about 0.05 second.

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Examining Line-breaks in Korean Language Textbooks: the Promotion of Word Spacing and Reading Skills (한국어 교재의 행 바꾸기 -띄어쓰기와 읽기 능력의 계발 -)

  • Cho, In Jung;Kim, Danbee
    • Journal of Korean language education
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    • v.23 no.1
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    • pp.77-100
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    • 2012
  • This study investigates issues in relation to text segmenting, in particular, line breaks in Korean language textbooks. Research on L1 and L2 reading has shown that readers process texts by chunking (grouping words into phrases or meaningful syntactic units) and, therefore, phrase-cued texts are helpful for readers whose syntactic knowledge has not yet been fully developed. In other words, it would be important for language textbooks to avoid awkward syntactic divisions at the end of a line, in particular, those textbooks for beginners and intermediate level learners. According to our analysis of a number of major Korean language textbooks for beginner-level learners, however, many textbooks were found to display line-breaks of awkward syntactic division. Moreover, some textbooks displayed frequent instances where a single word (or eojeol in the case of Korean) is split between different lines. This can hamper not only learners' learning of the rules of spaces between eojeols in Korean, but also learners' development in automatic word recognition, which is an essential part of reading processes. Based on the findings of our textbook analysis and of existing research on reading, this study suggests ways to overcome awkward line-breaks in Korean language textbooks.

The Effects of Word-of-Mouth Channel Types on Product Attitude (구전정보 채널유형이 소비자 제품태도에 미치는 영향)

  • Yu, Jiaohui;Park, Yoonseo;Kim, Yongsik
    • The Journal of the Korea Contents Association
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    • v.16 no.12
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    • pp.707-723
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    • 2016
  • The purpose of this study is to focus on the effects of different channel types of Word-of-Mouth on the product attitude. Additionally, the product involvement and gender are considered as moderating variables. The results of this study show that different word-of-mouth channel types have different effects on the product attitude, that is, off-line has more influence than on-line does. Also the product involvement moderates the relationship between the channel types of word-of-mouth and the product attitude, while the gender does not. The results imply that while building the word-of-mouth marketing strategy, companies should not only pay attention to the on-line media channel, but lay importance on the off-line communication channel.

Automatic Correction of Word-spacing Errors using by Syllable Bigram (음절 bigram를 이용한 띄어쓰기 오류의 자동 교정)

  • Kang, Seung-Shik
    • Speech Sciences
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    • v.8 no.2
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    • pp.83-90
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    • 2001
  • We proposed a probabilistic approach of using syllable bigrams to the word-spacing problem. Syllable bigrams are extracted and the frequencies are calculated for the large corpus of 12 million words. Based on the syllable bigrams, we performed three experiments: (1) automatic word-spacing, (2) detection and correction of word-spacing errors for spelling checker, and (3) automatic insertion of a space at the end of line in the character recognition system. Experimental results show that the accuracy ratios are 97.7 percent, 82.1 percent, and 90.5%, respectively.

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Etymology of Kimchi: Philological Approach and Historical Perspective ('김치'의 어원 연구)

  • Paek, Doo-Hyeon
    • Journal of the Korean Society of Food Culture
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    • v.34 no.2
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    • pp.112-128
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    • 2019
  • The history of modern Korean 'kimchi' can be traced through the history of the wordforms 'dihi' (디히), 'dimchʌi' (딤?), and 'thimchʌi' (팀?) in ancient Korean texts. As native Korean words, the 'dihi' word line ('dihi', 'dii', 'jihi', and 'ji') constitutes an old substratum. This word line coexisted with the 'dimchʌi' word line (dimchʌi, jimchʌi, and kim∫chi) from the Hanja '沈菜'. 'Ji', which is the last word variation of 'dihi', and is still used today as the unique form in several Korean dialects. In standard Korean, however, it only serves as a suffix to form the derivative names of various kimchi types. 'Dimchʌi' is believed to have appeared around the $6^{th}-7^{th}$ centuries, when Silla began to master Chinese characters. Hence,'dimchʌi' reflects either the Archaic Chinese (上古音) or the Old Chinese (中古音) pronunciation of the Hanja, '沈菜'. With the palatalization of the plosive alveolar [t], 'dimchʌi' changed to 'jimchʌi'. The Yangban intellectuals' rejection of the palatalization of the plosive velar [k] led to the hypercorrection of 'jimchʌi' into 'kimchʌi'. It is precisely the hypercorrect 'kimchʌe' that gave the wordform 'kim∫chi', which has eventually become the standard and predominant form in today's Korean language. Regarding 'thimchʌe', it reflects the Middle Chinese (Yuan Dynasty) pronunciation of the Hanja '沈菜' and was used mainly in writing by Yangban intellectuals.

Variable Vocabulary Word Recognizer using Phonetic Knowledge-based Allophone Model (음성학적 지식 기반 변이음 모델을 이용한 가변 어휘 단어 인식기)

  • Kim, Hoi-Rin;Lee, Hang-Seop
    • The Journal of the Acoustical Society of Korea
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    • v.16 no.2
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    • pp.31-35
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    • 1997
  • In this paper, we propose a variable vocabulary word recognizer that is able to recognize new words not exist in training data. For the variable vocabulary word recognizer, we must have an on-line lexicon generator to transform new candidate words to the corresponding pronunciation sequences of phones without any large lexicon table. And, we also must make outputs. In order to model the phones and allophones reliably, we define Korean allophones by triphone clustering based on phonetic knowledge of preceding and succeeding phones of each phone. Using the clustering method, we generated 1,548 allophones with POW (Phonetically Optimized Words) 3,848 word DB. We evaluated the proposed word recognizer with POW 3,848 DB, PBW (Phonetically Balanced Words) 445 DB, and 244 word DB in hotel reservation task. Experimental results showed word recognition accuracy of 79.6% for the POW DB corresponding to vocabulary-dependent case, 79.4% in case of 445 word lexicon and 88.9% in case of 100 word lexicon for the PBW DB, and 71.4% for the hotel reservation DB corresponding to vocabulary-independent case.

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