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A Privacy Protecting UMTS AKA Protocol Providing Perfect Forward Secrecy.

, , , и . ICCSA (2), том 4706 из Lecture Notes in Computer Science, стр. 987-995. Springer, (2007)

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Ky ng Kim

Die Artikelstruktur in passiven zweisprachigen Wörterbüchern Deutsch-Koreanisch: Konzeption zur Erstellung eines zweisprachigen Lernerwörterbuchs Deutsch-Koreanisch. Uni Heidelberg, (2008)

Kison Kim

Sunghun Kim

Youngsang Kim

Bongcheol Kim

 

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Comparative Study with Fuzzy Entropy and Similarity Measure: One-to-One Correspondence., , и . ICIC (3), том 15 из Communications in Computer and Information Science, стр. 132-138. Springer, (2008)Privacy-Aware VANET Security: Putting Data-Centric Misbehavior and Sybil Attack Detection Schemes into Practice., , и . WISA, том 7690 из Lecture Notes in Computer Science, стр. 296-311. Springer, (2012)OmniDRL: An Energy-Efficient Mobile Deep Reinforcement Learning Accelerators with Dual-mode Weight Compression and Direct Processing of Compressed Data., , , , , , и . HCS, стр. 1-21. IEEE, (2021)An Energy-Efficient Heterogeneous Fourier Transform-Based Transformer Accelerator with Frequency-Wise Dynamic Bit-Precision., , , и . A-SSCC, стр. 1-3. IEEE, (2023)DynaPlasia: An eDRAM In-Memory Computing-Based Reconfigurable Spatial Accelerator With Triple-Mode Cell., , , , , , , , и . IEEE J. Solid State Circuits, 59 (1): 102-115 (января 2024)A Low-Power Graph Convolutional Network Processor With Sparse Grouping for 3D Point Cloud Semantic Segmentation in Mobile Devices., , , и . IEEE Trans. Circuits Syst. I Regul. Pap., 69 (4): 1507-1518 (2022)AntiSybil: Standing against Sybil Attacks in Privacy-Preserved VANET., , и . ICCVE, стр. 108-113. IEEE Computer Society, (2012)GPPU: A 330.4-μJ/ task Neural Path Planning Processor with Hybrid GNN Acceleration for Autonomous 3D Navigation., , , , , и . VLSI Technology and Circuits, стр. 1-2. IEEE, (2023)PNNPU: A 11.9 TOPS/W High-speed 3D Point Cloud-based Neural Network Processor with Block-based Point Processing for Regular DRAM Access., , , и . VLSI Circuits, стр. 1-2. IEEE, (2021)C-DNN: A 24.5-85.8TOPS/W Complementary-Deep-Neural-Network Processor with Heterogeneous CNN/SNN Core Architecture and Forward-Gradient-Based Sparsity Generation., , , , , и . ISSCC, стр. 334-335. IEEE, (2023)