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ORCIDTomoaki Ukezono
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2020 – today
- 2024
[j7]Tomoaki Ukezono, Yui Koyanagi:
A Light-weight Random Number Generation for Tamper-resistant AES Circuit. Int. J. Netw. Comput. 14(2): 108-122 (2024)- [c32]Yui Koyanagi, Tomoaki Ukezono, Toshinori Sato:
A Light-weight and Tamper-resistant AES Implementation by FPGAs. ISCAS 2024: 1-5 - 2023
- [c31]Yui Koyanagi, Tomoaki Ukezono:
A Cost-aware Generation Method of Disposable Random Value Exploiting Parallel S-box Implementation for Tamper-resistant AES Design. CANDARW 2023: 318-322 - [c30]Tomoaki Ukezono, Yui Koyanagi:
Effect of High Frequency Noise Using DCMs in FPGA on Power Analysis Attack. ISCIT 2023: 407-412 - [c29]Hiroyuki Hama, Tomoaki Ukezono, Toshinori Sato
:
Negative Impact of Approximated Signed Addition on Power Reduction. ISDCS 2023: 1-6 - [c28]Ryoma Katsube, Tomoaki Ukezono:
Investigation for Impact of Environmental Noise on Power Analysis Attacks. ISOCC 2023: 57-58 - [c27]Hiroyuki Hama, Tomoaki Ukezono, Toshinori Sato:
Leveraging Approximate Computing for IoT Image Transmission. ISOCC 2023: 75-76 - [c26]Toshinori Sato, Hiroyuki Hama, Tomoaki Ukezono:
Comparative Evaluation between Carry Prediction and Sign Error Correction in Approximate Addition. ISOCC 2023: 77-78 - [c25]Yui Koyanagi, Tomoaki Ukezono:
A Cost-Sensitive and Simple Masking Design for Side-Channels. TENCON 2023: 732-737 - 2022
- [c24]Masaki Sano, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama, Tongxin Yang, Tomoaki Ukezono, Toshinori Sato:
An Accuracy-Controllable Approximate Adder for FPGAs. ATAIT 2022: 60-66 - [c23]Tongxin Yang, Tomoaki Ukezono, Toshinori Sato:
Reducing Power Consumption using Approximate Encoding for CNN Accelerators at the Edge. ACM Great Lakes Symposium on VLSI 2022: 229-235 - [c22]Yui Koyanagi, Tomoaki Ukezono:
An Extremely Light-Weight Countermeasure to Power Analysis Attack in Dedicated Circuit for AES. ISOCC 2022: 85-86 - 2021
- [c21]Masaki Sano, Kenta Shirane, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama, Tongxin Yang, Tomoaki Ukezono:
Design of a 32-bit Accuracy-Controllable Approximate Multiplier for FPGAs. ISOCC 2021: 55-56 - 2020
- [j6]Tongxin Yang, Toshinori Sato, Tomoaki Ukezono:
An Accuracy-Configurable Adder for Low-Power Applications. IEICE Trans. Electron. 103-C(3): 68-76 (2020) - [j5]Toshinori Sato, Tomoaki Ukezono:
Exploiting Configurable Approximations for Tolerating Aging-induced Timing Violations. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(9): 1028-1036 (2020) - [c20]Toshinori Sato, Tomoaki Ukezono:
A Dynamically Configurable Approximate Array Multiplier with Exact Mode. ICCCS 2020: 917-921
2010 – 2019
- 2019
- [j4]Tongxin Yang, Tomoaki Ukezono, Toshinori Sato:
Design and Analysis of Approximate Multipliers with a Tree Compressor. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 102-A(3): 532-543 (2019) - [j3]Toshinori Sato, Tongxin Yang, Tomoaki Ukezono:
Trading Accuracy for Power with a Configurable Approximate Adder. IEICE Trans. Electron. 102-C(4): 260-268 (2019) - [j2]Tomoaki Ukezono:
Evaluations of CMA with Error Corrector in Image Processing Circuit. Int. J. Netw. Comput. 9(2): 301-317 (2019) - [c19]Toshinori Sato, Tomoaki Ukezono:
Correcting Sign Calculation Errors in Configurable Approximations. APCCAS 2019: 190-193 - [c18]Toshinori Sato, Tomoaki Ukezono:
Tolerating Aging-Induced Timing Violations Via Configurable Approximations. GCCE 2019: 1023-1026 - [c17]Tongxin Yang, Tomoaki Ukezono, Toshinori Sato:
Design of a Low-power and Small-area Approximate Multiplier using First the Approximate and then the Accurate Compression Method. ACM Great Lakes Symposium on VLSI 2019: 39-44 - [c16]Tongxin Yang, Toshinori Sato, Tomoaki Ukezono:
A Low-Power Approximate Multiply-Add Unit. ISDCS 2019: 1-4 - [c15]Tongxin Yang, Toshinori Sato, Tomoaki Ukezono:
An Approximate Multiply-Accumulate Unit with Low Power and Reduced Area. ISVLSI 2019: 385-390 - [c14]Toshinori Sato, Tomoaki Ukezono:
On Applications of Configurable Approximation to Irregular Voltage. NORCAS 2019: 1-6 - [c13]Toshinori Sato, Tomoaki Ukezono:
Evaluation on Configurable Approximate Circuit for Aging-Induced Timing Violation Tolerance. PRDC 2019: 23-24 - 2018
- [j1]Tongxin Yang, Tomoaki Ukezono, Toshinori Sato:
Design and Analysis of A Low-Power High-Speed Accuracy-Controllable Approximate Multiplier. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(12): 2244-2253 (2018) - [c12]Tongxin Yang, Tomoaki Ukezono, Toshinori Sato:
A low-power high-speed accuracy-controllable approximate multiplier design. ASP-DAC 2018: 605-610 - [c11]Tomoaki Ukezono:
An Error Corrector for Dynamically Accuracy-Configurable Approximate Adder. CANDAR Workshops 2018: 145-151 - [c10]Tongxin Yang, Tomoaki Ukezono, Toshinori Sato:
A Low-Power Yet High-Speed Configurable Adder for Approximate Computing. ISCAS 2018: 1-5 - [c9]Ryuta Ishida, Toshinori Sato, Tomoaki Ukezono:
Approximate Adder Generation for Image Processing Using Convolutional Neural Network. ISOCC 2018: 38-39 - [c8]Toshinori Sato, Tomoaki Ukezono:
Exploiting Configurability for Correct Sign Calculation in an Approximate Adder. ISOCC 2018: 86-87 - [c7]Tongxin Yang, Tomoaki Ukezono, Toshinori Sato:
A low-power configurable adder for approximate applications. ISQED 2018: 347-352 - [c6]Hiroyuki Baba, Tongxin Yang, Masahiro Inoue, Kaori Tajima, Tomoaki Ukezono, Toshinori Sato:
A Low-Power and Small-Area Multiplier for Accuracy-Scalable Approximate Computing. ISVLSI 2018: 569-574 - 2017
- [c5]Tongxin Yang, Tomoaki Ukezono, Toshinori Sato:
Low-Power and High-Speed Approximate Multiplier Design with a Tree Compressor. ICCD 2017: 89-96 - 2013
- [c4]Tomoaki Ukezono:
Filtering Insertions into a Small Instruction Cache in Embedded Processors. CANDAR 2013: 393-396 - 2010
- [c3]Tomoaki Ukezono, Kiyofumi Tanaka:
Reduction of leakage energy in low level caches. Green Computing Conference 2010: 537-544
2000 – 2009
- 2008
- [c2]Tomoaki Ukezono, Kiyofumi Tanaka:
Dynamic binary code translation for data prefetch optimization. ACSAC 2008: 1-8 - [c1]Tomoaki Ukezono, Kiyofumi Tanaka:
HDOS: An Infrastructure for Dynamic Optimization. PDPTA 2008: 33-39
Coauthor Index
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