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: "magnetometer calibration using inertial sensors"
  Abstract: In this work we present a practical calibration algorithm that calibrates a magnetometer using inertial sensors. The calibration corrects for magnetometer sensor errors, for the presence of magneti ...

Connected through hyperedge HE-1 (induced by source paper "using inertial sensors for position and orientation estimation"):
  with members:
    - "on manifold preintegration for real time visual inertial odometry"
    - "towards self calibrating inertial body motion capture"
    - "a primer on the differential calculus of 3d orientations"
    - "past present and future of simultaneous localization and mapping toward the robust perception age"
    - "unscented orientation estimation based on the bingham distribution"
    - "robust inference for state space models with skewed measurement noise"
    - "modeling and interpolation of the ambient magnetic field by gaussian processes"
    - "recursive estimation of orientation based on the bingham distribution"

Connected through hyperedge HE-2 (induced by source paper "gyroscope calibration via magnetometer"):
  with members:
    - "dynamic magnetometer calibration and alignment to inertial sensors by kalman filtering"
    - "on calibration of three axis magnetometer"
    - "observability of strapdown ins alignment a global perspective"

Connected through hyperedge HE-3 (induced by source paper "dynamic magnetometer calibration and alignment to inertial sensors by kalman filtering"):
  with members:
    - "on calibration of three axis magnetometer"
    - "observability of strapdown ins alignment a global perspective"

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.SY(Systems and Control)