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Record Nr. |
UNINA9910830644003321 |
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Autore |
Aritome Seiichi |
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Titolo |
NAND flash memory technologies / / Seiichi Aritome |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : Wiley, , [2016] |
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[Piscataqay, New Jersey] : , : IEEE Xplore, , [2015] |
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ISBN |
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1-119-13261-4 |
1-119-13262-2 |
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Descrizione fisica |
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1 online resource (433 p.) |
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Collana |
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IEEE press series on microelectronic systems |
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Disciplina |
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Soggetti |
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Flash memories (Computers) |
Computer storage devices |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Principle of NAND flash memory -- NAND flash memory devices -- Advanced operation for multilevel cell -- Scaling challenge of NAND flash memory cells -- Reliability of NAND flash memory -- Three-dimensional NAND flash cell -- Challenges of NAND flash memory. |
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Sommario/riassunto |
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Examines the history, basic structure, and processes of NAND flash memory This book discusses basic and advanced NAND flash memory technologies, including the principle of NAND flash, memory cell technologies, multi-bits cell technologies, scaling challenges of memory cell, reliability, and 3-dimensional cell as the future technology. Chapter 1 describes the background and early history of NAND flash. The basic device structures and operations are described in Chapter 2. Next, the author discusses the memory cell technologies focused on scaling in Chapter 3, and introduces the advanced operations for multi-level cells in Chapter 4. The physical limitations for scaling are examined in Chapter 5, and Chapter 6 describes the reliability of NAND flash memory. Chapter 7 examines 3-dimensional (3D) NAND flash memory cells and discusses the pros and cons in structure, process, operations, scalability, and performance. In Chapter 8, challenges of 3D NAND flash memory are discussed. Finally, in Chapter 9, the author summarizes and describes the prospect of |
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technologies and market for the future NAND flash memory. . Offers a comprehensive overview of NAND flash memories, with insights into NAND history, technology, challenges, evolutions, and perspectives. Describes new program disturb issues, data retention, power consumption, and possible solutions for the challenges of 3D NAND flash memory . Written by an authority in NAND flash memory technology, with over 25 years' experience NAND Flash Memory Technologies is a reference for engineers, researchers, and designers who are engaged in the development of NAND flash memory or SSD (Solid State Disk) and flash memory systems. |
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2. |
Record Nr. |
UNINA9910254830903321 |
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Titolo |
Machine Translation : 13th China Workshop, CWMT 2017, Dalian, China, September 27-29, 2017, Revised Selected Papers / / edited by Derek F. Wong, Deyi Xiong |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XI, 125 p. 25 illus.) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 787 |
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Disciplina |
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Soggetti |
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Natural language processing (Computer science) |
Artificial intelligence |
Natural Language Processing (NLP) |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Neural Machine Translation with Phrasal Attention -- Singleton Detection for Coreference Resolution via Multi-window and Multi-Filter CNN -- A Method of Unknown Words Processing for Neural Machine Translation Using HowNet -- Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT -- An Unknown Word Processing Method in NMT by Integrating Syntactic Structure and Semantic Concept -- RGraph: Generating Reference Graphs for Better |
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Machine Translation Evaluation -- ENTF: An Entropy-based MT Evaluation Metric -- Translation Oriented Sentence Level Collocation Identification and Extraction -- Combining Domain Knowledge and Deep Learning Makes NMT More Adaptive -- Handling Many-To-One UNK Translation for Neural Machine Translation -- A Content-based Neural Reordering Model for Statistical Machine Translation. . |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 13th China Workshop on Machine Translation, CWMT 2017, held in Dalian, China, in September 2017. The 10 papers presented in this volume were carefully reviewed and selected from 26 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing. |
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