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: "real time human detection as an edge service enabled by a lightweight cnn"
  Abstract: Edge computing allows more computing tasks to take place on the decentralized nodes at the edge of networks. Today many delay sensitive, mission-critical applications can leverage these edge devices to reduce the time delay or even to enable real time, online decision making thanks to their onsite presence. Human objects detection, behavior recognition and prediction in smart surveillance fall into that category, where a transition of a huge volume of video streaming data can take valuable time and place heavy pressure on communication networks. It is widely recognized that video processing and object detection are computing intensive and too expensive to be handled by resource limited edge devices. Inspired by the depthwise separable convolution and Single Shot Multi-Box Detector (SSD), a lightweight Convolutional Neural Network (LCNN) is introduced in this paper. By narrowing down the classifier's searching space to focus on human objects in surveillance video frames, the proposed LCNN algorithm is able to detect pedestrians with an affordable computation workload to an edge device. A prototype has been implemented on an edge node (Raspberry PI 3) using openCV libraries, and satisfactory performance is achieved using real world surveillance video streams. The experimental study has validated the design of LCNN and shown it is a promising approach to computing intensive applications at the edge.

Connected through hyperedge HE-1 (induced by source paper "i safe instant suspicious activity identification at the edge using fuzzy decision making"):
  with members:
    - "decentralized smart surveillance through microservices platform"
    - "blendmas a blockchain enabled decentralized microservices architecture for smart public safety"
    - "vstore a data store for analytics on large videos"
    - "real world anomaly detection in surveillance videos"
    - "focus querying large video datasets with low latency and low cost"
    - "kerman a hybrid lightweight tracking algorithm to enable smart surveillance as an edge service"
    - "real time index authentication for event oriented surveillance video query using blockchain"
    - "posetrack a benchmark for human pose estimation and tracking"

Connected through hyperedge HE-2 (induced by source paper "decentralized smart surveillance through microservices platform"):
  with members:
    - "a study on smart online frame forging attacks against video surveillance system"
    - "blendmas a blockchain enabled decentralized microservices architecture for smart public safety"
    - "fog computing a taxonomy survey and future directions"
    - "a microservice enabled architecture for smart surveillance using blockchain technology"
    - "an exploration of blockchain enabled decentralized capability based access control strategy for space situation awareness"
    - "kerman a hybrid lightweight tracking algorithm to enable smart surveillance as an edge service"
    - "smart surveillance as an edge network service from harr cascade svm to a lightweight cnn"
    - "constructing trustworthy and safe communities on a blockchain enabled social credits system"

Connected through hyperedge HE-3 (induced by source paper "blockchain methods for trusted avionics systems"):
  with members:
    - "decentralized smart surveillance through microservices platform"
    - "a microservice enabled architecture for smart surveillance using blockchain technology"
    - "kerman a hybrid lightweight tracking algorithm to enable smart surveillance as an edge service"
    - "smart surveillance as an edge network service from harr cascade svm to a lightweight cnn"
    - "constructing trustworthy and safe communities on a blockchain enabled social credits system"
    - "real time index authentication for event oriented surveillance video query using blockchain"
    - "eiqis toward an event oriented indexable and queryable intelligent surveillance system"
    - "mobilenets efficient convolutional neural networks for mobile vision applications"

Connected through hyperedge HE-4 (induced by source paper "blendmas a blockchain enabled decentralized microservices architecture for smart public safety"):
  with members:
    - "decentralized smart surveillance through microservices platform"
    - "a microservice enabled architecture for smart surveillance using blockchain technology"
    - "kerman a hybrid lightweight tracking algorithm to enable smart surveillance as an edge service"
    - "smart surveillance as an edge network service from harr cascade svm to a lightweight cnn"
    - "constructing trustworthy and safe communities on a blockchain enabled social credits system"
    - "real time index authentication for event oriented surveillance video query using blockchain"
    - "eiqis toward an event oriented indexable and queryable intelligent surveillance system"

Connected through hyperedge HE-5 (induced by source paper "a study on smart online frame forging attacks against video surveillance system"):
  with members:
    - "internet of things survey on security"
    - "a microservice enabled architecture for smart surveillance using blockchain technology"
    - "smart surveillance as an edge network service from harr cascade svm to a lightweight cnn"
    - "eiqis toward an event oriented indexable and queryable intelligent surveillance system"

Connected through hyperedge HE-6 (induced by source paper "a lightweight blockchain based privacy protection for smart surveillance at the edge"):
  with members:
    - "a microservice enabled architecture for smart surveillance using blockchain technology"
    - "lsb a lightweight scalable blockchain for iot security and privacy"

Connected through hyperedge HE-7 (induced by source paper "smart surveillance as an edge network service from harr cascade svm to a lightweight cnn"):
  with members:
    - "feature fused ssd fast detection for small objects"
    - "shufflenet an extremely efficient convolutional neural network for mobile devices"
    - "an edge fog cloud platform for anticipatory learning process designed for internet of mobile things"
    - "mobilenets efficient convolutional neural networks for mobile vision applications"
    - "squeezenet alexnet level accuracy with 50x fewer parameters and 0 5mb model size"
    - "towards lightweight convolutional neural networks for object detection"
    - "ssd single shot multibox detector"
    - "you only look once unified real time object detection"

Connected through hyperedge HE-8 (induced by source paper "kerman a hybrid lightweight tracking algorithm to enable smart surveillance as an edge service"):
  with members:
    - "smart surveillance as an edge network service from harr cascade svm to a lightweight cnn"
    - "an edge fog cloud platform for anticipatory learning process designed for internet of mobile things"
    - "mobilenets efficient convolutional neural networks for mobile vision applications"
    - "squeezenet alexnet level accuracy with 50x fewer parameters and 0 5mb model size"
    - "need for speed a benchmark for higher frame rate object tracking"
    - "learning multi domain convolutional neural networks for visual tracking"
    - "high speed tracking with kernelized correlation filters"
    - "correlation filters with limited boundaries"

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.CV(Computer Vision and Pattern Recognition)