Results 111 to 120 of about 4,580,226 (289)

Control dependence for extended finite state machines [PDF]

, 2009
Though there has been nearly three decades of work on program slicing, there has been comparatively little work on slicing for state machines. One of the primary challenges that currently presents a barrier to wider application of state machine slicing ...
Laurence Tratt, Clark, David, Li, Zheng, Mark Harman, Harman, Mark, David Clark, Zheng Li, Kelly Androutsopoulos, Androutsopoulos, Kelly, Tratt, Laurence, Androutsopoulos, K., Li, Z., Clark, D., Tratt, L., Harman, M.   +14 more
core   +1 more source

5G Network Slicing for Improved Meteorological Warning Dissemination

Journal of Intelligent Systems and Applied Data Science
This study addresses challenges in meteorological warning dissemination by examining the limitations of traditional communication methods that have been used.
Mohsen S. Alsaadi, Naif D. Alotaibi
doaj   +1 more source

Structural Power Composites Based on High Mass Loading Zn‐Ion Hybrid Supercapacitors with Metal Mesh Current Collectors and Aramid Nanofiber/Glass Fiber Composite Electrolytes

Advanced Functional Materials, EarlyView.
A multifunctional structural power composite is developed by integrating high‐mass‐loading Zn‐ion hybrid supercapacitors with metal mesh current collectors and aramid nanofiber‐based composite electrolytes, enabling simultaneous load‐bearing capability and enhanced areal energy storage.
Yuseung Choi, Gilyong Shin, Hoyeon Lee, Eun Jae Nam, Byeong Jun So, Sungryul Yun, Fu‐Kuo Chang, Jei Gyeong Jeon, Tae June Kang   +8 more
wiley   +1 more source

Performance of 5G Slicing With Access Technologies and Diversity: A Review and Challenges

IEEE Access
5G slicing has become a key technology in 5G and beyond (B5G) for realizing IMT 2020 services, including enhanced mobile broadband (eMBB), ultra-reliable low-latency communication (URLLC), and massive machine-type communication (mMTC). These advancements
Sinta Novanana, Adrian Kliks, Ajib Setyo Arifin, Gunawan Wibisono   +3 more
doaj   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies

IEEE Transactions on Machine Learning in Communications and Networking
In this paper, we present a multi-agent deep reinforcement learning (deep RL) framework for network slicing in a dynamic environment with multiple base stations and multiple users.
Feng Wang, M. Cenk Gursoy, Senem Velipasalar   +2 more
doaj   +1 more source

Application research of distribution network based on quantum secure communication and 5G hard-slicing private network

Dianxin kexue, 2022
With its significant advantages of ultra-low latency, ultra-high bandwidth, and ultra-large-scale connection, 5G technology effectively compensates for the shortcomings of traditional optical fiber communication in the distribution network field, and ...
Zhongping WU, Lujie WANG, Jianuo XU, Yanbo WANG, Liwei ZHANG   +4 more
doaj  

An E2E Network Slicing Framework for Slice Creation and Deployment Using Machine Learning. [PDF]

Sensors (Basel), 2023
Venkatapathy S, Srinivasan T, Jo HG, Ra IH.   +3 more
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Graded Metallopolymer Structures with Shape‐Memory Abilities via DLP‐Based 3D‐Printing

Advanced Functional Materials, EarlyView.
This study presents the digital light processing (DLP) based 3D printing of graded metallopolymers featuring shape‐memory abilities. The permanent shape can be recovered in two distinct steps with excellent rates. The obtained graded prints range from simple rod‐like structures to complex hollow materials.
Michael Klein, Michael F. Agyemang, Michael Schmitt, Jürgen Popp, Martin D. Hager, Stefan Zechel, Ulrich S. Schubert   +6 more
wiley   +1 more source