human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "fpga based implementation of distributed minority and majority voting based redundancy for mission and safety critical applications"
  Abstract: Electronic circuits and systems used in mission and safety-critical applications usually employ redundancy in the design to overcome arbitrary fault(s) or failure(s) and guarantee the correct operation. In this context, the distributed minority and majority voting based redundancy (DMMR) scheme forms an efficient alternative to the conventional N-modular redundancy (NMR) scheme for implementing mission and safety-critical circuits and systems by significantly minimizing their weight and design cost and also their design metrics whilst providing a similar degree of fault tolerance. This article presents the first FPGAs based implementation of example DMMR circuits and compares it with counterpart NMR circuits on the basis of area occupancy and critical path delay viz. area-delay product (ADP). The example DMMR circuits and counterpart NMR circuits are able to accommodate the faulty or failure states of 2, 3 and 4 function modules. For physical synthesis, two commercial Xilinx FPGAs viz. Spartan 3E and Virtex 5 corresponding to 90nm and 65nm CMOS processes, and two radiation-tolerant and military grade Xilinx FPGAs viz. QPro Virtex 2 and QPro Virtex E corresponding to 150nm and 180nm CMOS processes were considered for the NMR and DMMR circuit realizations which employ the 4-by-4 array multiplier as a representative function module. To achieve a fault tolerance of 2 function modules, both the DMMR and the NMR schemes provide near similar mean ADPs across all the four FPGAs. But while achieving a fault tolerance of 3 function modules the DMMR features reduced ADP by 44.5% on average compared to the NMR, and in achieving a fault tolerance of 4 function modules the DMMR reports reduced ADP by 56.5% on average compared to the NMR with respect to all the four FPGAs considered.

Connected through hyperedge HE-1 (induced by source paper "mathematical estimation of logical masking capability of majority minority gates used in nanoelectronic circuits"):
  with members:
    - "redundant logic insertion and fault tolerance improvement in combinational circuits"
    - "power delay and area comparisons of majority voters relevant to tmr architectures"
    - "a fault tolerance improved majority voter for tmr system architectures"

Connected through hyperedge HE-2 (induced by source paper "redundant logic insertion and fault tolerance improvement in combinational circuits"):
  with members:
    - "a fault tolerance improved majority voter for tmr system architectures"
    - "system reliability fault tolerance and design metrics tradeoffs in the distributed minority and majority voting based redundancy scheme"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.AR(Hardware Architecture)