Literatura académica sobre el tema "DNA Based Memory"
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Artículos de revistas sobre el tema "DNA Based Memory"
Deaton, Russell y Junghuei Chen. "Conceptual and contextual DNA-based memory". International Journal of Knowledge-based and Intelligent Engineering Systems 10, n.º 1 (5 de febrero de 2006): 41–48. http://dx.doi.org/10.3233/kes-2006-10104.
Texto completoGarzon, Max H., Kiran C. Bobba, Andrew Neel y Vinhthuy Phan. "DNA-Based Indexing". International Journal of Nanotechnology and Molecular Computation 2, n.º 3 (julio de 2010): 25–45. http://dx.doi.org/10.4018/jnmc.2010070102.
Texto completoSheth, Ravi U. y Harris H. Wang. "DNA-based memory devices for recording cellular events". Nature Reviews Genetics 19, n.º 11 (20 de septiembre de 2018): 718–32. http://dx.doi.org/10.1038/s41576-018-0052-8.
Texto completoYu, Xu, Yuwei Hu, Jason S. Kahn, Alessandro Cecconello y Itamar Willner. "Orthogonal Dual-Triggered Shape-Memory DNA-Based Hydrogels". Chemistry - A European Journal 22, n.º 41 (19 de agosto de 2016): 14504–7. http://dx.doi.org/10.1002/chem.201603653.
Texto completoTakinoue, M. y A. Suyama. "Establishing a molecular memory system based on DNA hairpins". Seibutsu Butsuri 43, supplement (2003): S231. http://dx.doi.org/10.2142/biophys.43.s231_2.
Texto completoTakinoue, M., Y. Hatano y Akira Suyama. "2P300 A massively parallel memory based on hairpin DNA". Seibutsu Butsuri 44, supplement (2004): S184. http://dx.doi.org/10.2142/biophys.44.s184_4.
Texto completoLakhno, V. D. y A. V. Vinnikov. "Molecular devices based on DNA". Mathematical Biology and Bioinformatics 16, n.º 1 (19 de mayo de 2021): 115–35. http://dx.doi.org/10.17537/2021.16.115.
Texto completoYamamoto, Masahito, Satoshi Kashiwamura, Azuma Ohuchi y Masashi Furukawa. "Large-scale DNA memory based on the nested PCR". Natural Computing 7, n.º 3 (19 de marzo de 2008): 335–46. http://dx.doi.org/10.1007/s11047-008-9076-x.
Texto completoTakinoue, Masahiro y Akira Suyama. "Molecular reactions for a molecular memory based on hairpin DNA". Chem-Bio Informatics Journal 4, n.º 3 (2004): 93–100. http://dx.doi.org/10.1273/cbij.4.93.
Texto completoExpósito, Roberto R., Jorge González-Domínguez y Juan Touriño. "SMusket: Spark-based DNA error correction on distributed-memory systems". Future Generation Computer Systems 111 (octubre de 2020): 698–713. http://dx.doi.org/10.1016/j.future.2019.10.038.
Texto completoTesis sobre el tema "DNA Based Memory"
Tu, Waan Ting y 杜皖婷. "Study of DNA-nanocomposite-based optically controlled resistive random access memory and phtodetector device". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/mzj9nq.
Texto completo國立清華大學
光電工程研究所
105
Organic resistive random access memory (ORRAM) not only has the potential of small cell size, low operate voltage, low power consumption, simple structure, high speed operation and data retention, but also has the advantages of low cost, ease of manufacture, high flexibility, which have been widely studied. In recent years, the use of biopolymer material on photoelectronic devices has been more and more developed. Among them, deoxyribonucleic acid (DNA) is a very attractive functional organic material, due to its unique double helix structure and material properties. Meanwhile, DNA biopolymer nanocomposite has been widely used in many studies, and many optoelectronic properties can be manipulated by controlling the concentration or particle size of the nanoparticles. In the first part of the study, we used photochemical reduction method to form DNA silver nanocomposite as the active layer in our ORRAM device. Different illumination time produced different concentrations of silver particles in the DNA composite. We used transmission electron microscope (TEM), energy dispersive X- ray (EDX), UV / Vis spectrometer, and circular dichroism (CD) spectrometer to understand the material property changes caused by the photochemical formation of the silver nanoparticles. The ORRAM device is fabricated by a simple structure with a DNA nanocomposite active layer sandwiched by Ag and ITO electrodes. Electrical properties have been measured and statistically analyzed. Since the concentration of silver nanoparticles in the active layer is controlled by photochemical method, it enabled us to control the illumination time as well as to tune the resistance switching behaviors of the device, such as write-once read-many-times memory(WORM), write-read-erase memory(WREM) and conductor behavior. To further understand the switching mechanism of our device, the examined I-V curves were fitted with theoretical models, and the results showed that the conduction mechanism dominating the low and high resistance states are Ohmic behavior and space charge limited current effect, based on filament theory. In the second part of the study, we used the same MSM structure and doped silver nanoparticles directly into the DNA-CTMA active layer, in order to explore the applications for photodetectors and the characteristics enhancement effect by silver nanoparticles. The characteristics of DNA-CTMA photodetector device were observed by changing the doping concentration of silver nanoparticles, the applied bias, and the wavelength of the irradiated light. The main mechanism of generation of photocurrent was found to be dependent on Schottky barrier formed at DNA-CTMA-metal interface. As the device was irradiated, carriers accumulated at the DNA-CTMA and electrode interface. An opposite surface charge was attracted that caused Schottky barrier to be lowered, which resulted in generating a larger current. The energy of incident light source and the doping level of silver nanoparticles further varied the device responsivity. In addition, irradiation wavelength near the silver nanoparticles optical absorption excites surface plasmon resonance and might lead to multiple exciton states and enhanced the performance.
Mondal, Sandip. "Fully Solution Processed Flash Memory". Thesis, 2017. http://etd.iisc.ac.in/handle/2005/4131.
Texto completoJo-NingYu y 尤若寧. "A Memory Efficient DFA based on Pattern Segmentation for Deep Packet Inspection". Thesis, 2012. http://ndltd.ncl.edu.tw/handle/74261738315180300787.
Texto completo國立成功大學
資訊工程學系碩博士班
100
As the network becomes faster, the role of network intrusion detection system (NIDS) that solves network security problem has become more and more important. The performance of pattern match algorithm is the bottleneck of NIDS. We have to develop a high-throughput algorithm that requires a small amount of memory to find out the hidden virus in packet payload. Based on the famous Aho-Corasick (AC) automaton, we perform an analysis on the AC automata and propose three methods to reduce the memory usage. First, we observe that some transitions will end up reaching a state in the top few levels of the state diagram because the suffix of current sub-pattern is the prefix of another pattern (called common sub-patterns). We segment these patterns into shorter sub-patterns, based the above observation and so that the states and transitions in the common sub-patterns can be shared. We also observe that most of the transitions go back to the top k levels. (e.g. transitions which ended up arriving the states at the top 4 levels are 99.52% out of the entire transitions in pattern set of ClamAV). Therefore, we use parallel architecture and k independent blocks to maintain the transition table. By this technique, the AC automaton can use fewer memories by not recording the transitions to the top k levels. Finally, we also exploit bit map to compress the memory that is used to record the state information. The results of experiments in ClamAV pattern set show that our proposed scheme uses less memory than the most existing algorithms. Specifically, proposed scheme needs only 0.905% of the memory used in optimized AC automaton.
"Energy-Efficient Circuit and Architecture Designs for Intelligent Systems". Doctoral diss., 2020. http://hdl.handle.net/2286/R.I.62917.
Texto completoDissertation/Thesis
Doctoral Dissertation Electrical Engineering 2020
Libros sobre el tema "DNA Based Memory"
Goldman, Mark S., Jack Darkes, Richard R. Reich y Karen O. Brandon. From DNA to conscious thought. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198569299.003.0006.
Texto completoHilgurt, S. Ya y O. A. Chemerys. Reconfigurable signature-based information security tools of computer systems. PH “Akademperiodyka”, 2022. http://dx.doi.org/10.15407/akademperiodyka.458.297.
Texto completoMierlo, Wim Van. James Joyce and Cultural Genetics. Bloomsbury Publishing Plc, 2023. http://dx.doi.org/10.5040/9781350169913.
Texto completoBenarroch, Eduardo E. Neuroscience for Clinicians. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780190948894.001.0001.
Texto completoCardoso, Flávia Pieretti, Maria Leda Pinto y Léia Teixeira Lacerda. Memória discursiva sobre a violência de gênero na voz de mulheres com deficiência. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-323-7.
Texto completoCapítulos de libros sobre el tema "DNA Based Memory"
Lipton, Richard. "DNA computations can have global memory". En DNA Based Computers II, 259–65. Providence, Rhode Island: American Mathematical Society, 1998. http://dx.doi.org/10.1090/dimacs/044/21.
Texto completoKashiwamura, Satoshi, Masahito Yamamoto, Atsushi Kameda, Toshikazu Shiba y Azuma Ohuchi. "Hierarchical DNA Memory Based on Nested PCR". En DNA Computing, 112–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36440-4_10.
Texto completoDeaton, Russell y Junghuei Chen. "Conceptual and Contextual DNA-Based Memory". En Lecture Notes in Computer Science, 25–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30132-5_8.
Texto completoChen, Junghuei, Russell Deaton y Yu-Zhen Wang. "A DNA-Based Memory with In Vitro Learning and Associative Recall". En DNA Computing, 145–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24628-2_14.
Texto completoMoosavi, Sanaz Rahimi y Arman Izadifar. "End-to-End Security Scheme for E-Health Systems Using DNA-Based ECC". En Silicon Valley Cybersecurity Conference, 77–89. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96057-5_6.
Texto completoCumbo, Fabio y Emanuel Weitschek. "An In-Memory Cognitive-Based Hyperdimensional Approach to Accurately Classify DNA-Methylation Data of Cancer". En Communications in Computer and Information Science, 3–10. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59028-4_1.
Texto completoStewin, Patrick. "A Primitive for Detecting DMA Malware". En Detecting Peripheral-based Attacks on the Host Memory, 53–69. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13515-1_5.
Texto completode Carvalho Clímaco, Marianna, Lucas Kraemer y Ricardo Toshio Fujiwara. "Vaccine Development for Human Leishmaniasis". En Vaccines for Neglected Pathogens: Strategies, Achievements and Challenges, 307–26. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24355-4_14.
Texto completoHanif, Muhammad Abdullah, Faiq Khalid, Rachmad Vidya Wicaksana Putra, Mohammad Taghi Teimoori, Florian Kriebel, Jeff (Jun) Zhang, Kang Liu et al. "Robust Computing for Machine Learning-Based Systems". En Dependable Embedded Systems, 479–503. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52017-5_20.
Texto completoLiu, Bocheng y Haoyu Wang. "Real-Time Monitoring System for DGA Domain Based on Long Short-Term Memory". En Advances in Intelligent Systems and Computing, 159–65. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53980-1_24.
Texto completoActas de conferencias sobre el tema "DNA Based Memory"
Jeng, Huei-Yau, Tzu-Chien Yang, Chao-You Hung y Yu-Chueh Hung. "Characterizations of DNA biopolymer-based rewritable memory devices". En 2017 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR). IEEE, 2017. http://dx.doi.org/10.1109/cleopr.2017.8118888.
Texto completoLin, Yi-Tzu, Ting-Yu Lin y Yu-Chueh Hung. "Bistable memory device based on DNA biopolymer nanocomposite". En SPIE Photonics Europe, editado por Barry P. Rand, Chihaya Adachi, David Cheyns y Volker van Elsbergen. SPIE, 2014. http://dx.doi.org/10.1117/12.2052062.
Texto completoLaguna, Ann Franchesca, Hasindu Gamaarachchi, Xunzhao Yin, Michael Niemier, Sri Parameswaran y X. Sharon Hu. "Seed-and-vote based in-memory accelerator for DNA read mapping". En ICCAD '20: IEEE/ACM International Conference on Computer-Aided Design. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3400302.3415651.
Texto completoBharadwaj, Lalit M., Amol P. Bhondekar, A. K. Shukla, Vijayender Bhalla y Ram P. Bajpai. "DNA-based high-density memory devices and biomolecular electronics at CSIO". En SPIE's International Symposium on Smart Materials, Nano-, and Micro- Smart Systems, editado por Dan V. Nicolau. SPIE, 2002. http://dx.doi.org/10.1117/12.471949.
Texto completoLiang, Lijuan, Tomoyashi Yukimoto, Sei Uemura, Toshihide Kamata, Kazuki Nakamura y Norihisa Kobayashi. "Fabrication and characterization of OTFT memory based on DNA gate dielectric". En SPIE NanoScience + Engineering, editado por Norihisa Kobayashi, Fahima Ouchen y Ileana Rau. SPIE, 2013. http://dx.doi.org/10.1117/12.2026939.
Texto completoDe, Arpan, Hashem Mohammad, Yiren Wang, Rajkumar Kubendran, Arindam K. Das y M. P. Anantram. "Modeling and Simulation of DNA Origami based Electronic Read-only Memory". En 2022 IEEE 22nd International Conference on Nanotechnology (NANO). IEEE, 2022. http://dx.doi.org/10.1109/nano54668.2022.9928676.
Texto completoRay, Sanchita Saha, Surajeet Ghosh y Rakesh Prasad. "Low-cost hierarchical memory-based pipelined architecture for DNA sequence matching". En 2014 Annual IEEE India Conference (INDICON). IEEE, 2014. http://dx.doi.org/10.1109/indicon.2014.7030681.
Texto completoLiang, Lijuan, Tomoyoshi Yukimoto, Sei Uemura, Toshihide Kamata, Kazuki Nakamura y Norihisa Kobayashi. "Electronic properties of DNA-surfactant complex and its application to DNA-based bio-organic field effect transistor memory". En SPIE NanoScience + Engineering, editado por Norihisa Kobayashi, Fahima Ouchen y Ileana Rau. SPIE, 2012. http://dx.doi.org/10.1117/12.932267.
Texto completoOrlov, A. P., A. V. Frolov, A. M. Smolovich, P. V. Lega, P. V. Chung, A. V. Irzhak, N. A. Barinov, D. V. Klinov, V. S. Vlasenko y V. V. Koledov. "Ti2NiCu based composite nanotweezers with a shape memory effect and its use for DNA bunches 3D manipulation". En STATE-OF-THE-ART TRENDS OF SCIENTIFIC RESEARCH OF ARTIFICIAL AND NATURAL NANOOBJECTS, STRANN-2018. Author(s), 2019. http://dx.doi.org/10.1063/1.5087672.
Texto completoCalais, Theo, Thileepan Stalin, Vincent S. Joseph y Pablo Valdivia y Alvarado. "DNA Nanotechnologies for the Design of Bio-Inspired Soft Nanocomposites With Reversible Rigidity". En ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/smasis2019-5568.
Texto completoInformes sobre el tema "DNA Based Memory"
Silver, Pamela. Cell-Based Memory of DNA Damage in Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2009. http://dx.doi.org/10.21236/ada520048.
Texto completoChang, Chia-Ching. Biomaterial-based Memory Device Development by Conducting Metallic DNA. Fort Belvoir, VA: Defense Technical Information Center, mayo de 2013. http://dx.doi.org/10.21236/ada584806.
Texto completoMacula, Anthony, Russell Deaton y Junghuei Chen. A Two-Dimensional Deoxyribonucleic Acid (DNA) Matrix Based Biomolecular Computing and Memory Architecture. Fort Belvoir, VA: Defense Technical Information Center, febrero de 2009. http://dx.doi.org/10.21236/ada494650.
Texto completoPalmer, Guy, Varda Shkap, Wendy Brown y Thea Molad. Control of bovine anaplasmosis: cytokine enhancement of vaccine efficacy. United States Department of Agriculture, marzo de 2007. http://dx.doi.org/10.32747/2007.7695879.bard.
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