This paper studies the administrative management of vocational colleges based on big data technology. The main content of this chapter is an improved administrative task scheduling algorithm based on a convolutional n...
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The identification of important nodes in a network is a pervasive task in a variety of disciplines from sociology and bibliometry to geography and chemistry, and an ever growing number of centrality indices is propose...
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ISBN:
(纸本)9783031785375;9783031785382
The identification of important nodes in a network is a pervasive task in a variety of disciplines from sociology and bibliometry to geography and chemistry, and an ever growing number of centrality indices is proposed for this purpose. While such indices are often adhoc, preservation of the vicinal preorder has been identified as the core axiom shared by centrality rankings on undirected graphs. We extend this idea to directed graphs by defining vertex preorders based on directed neighborhood-inclusion criteria. While, for the undirected case, the vicinal preorder is total on threshold graphs and preserves all standard centrality indices, we show that our generalized preorders are total on certain subclasses of threshold digraphs. We thus provide a consistent formalization of the hitherto rather conceptual notions of radial, medial, and hierarchical centralities.
The paper presents a recommender algorithm for visual analysis based on Data field Schema and Aggregation, and developed an automated data analysis solution recommendation system (AutoEDA) in conjunction with the Expl...
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The increase in the Distributed Denial of Service attack (DDoS) leads to a significant threat to the network security. Inability to timely and accurately detect DDoS attacks disrupts services offered by companies and ...
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In response to the problems of high computational complexity and poor adaptability to complex scenes in traditional TBD methods for detecting stealth small targets, this paper proposes radar target track before detect...
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Energy conservation is an indispensable aspect of the protocols designed for Wireless Sensor networks (WSNs). The communication protocols for WSN fall mainly under two categories: centralized and distributed. Centrali...
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In understanding brain functioning by Electroencephalography (EEG), it is essential to be able to not only identify more active brain areas but also understand connectivity among different areas. The functional and ef...
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In the field of construction, the application of Building Information Modeling (BIM) technology combined with computer vision offers a promising avenue for enhancing the quality control and intelligent monitoring of v...
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The challenge of the Team Formation Problem (TFP) is to select an effective team for a given task with minimum communication cost and time. The heuristic as well as the recent evolutionary approaches to team formation...
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ISBN:
(纸本)9783031814037;9783031814044
The challenge of the Team Formation Problem (TFP) is to select an effective team for a given task with minimum communication cost and time. The heuristic as well as the recent evolutionary approaches to team formation focus on optimizing one communication cost, yet do not yield teams in a reasonable amount of time. Our study proposes a novel approach to solve the TFP by considering the topology of the underlying social network. We propose two heuristic algorithms: TPLRandom and TPLClosest, that use the degree distribution of the social network to solve TFP. The proposed approach utilizes the power law followed by the degree distribution as well as the skill distribution of the experts to compose an effective team. This idea optimizes not only more than one communication cost but also time. Extensive experimentation is carried out on the large well-known real-world DBLP dataset and all the subnetworks of DBLP. Empirically it is observed that the proposed algorithm TPLClosest is 3, 10, 27, and 65 times faster than Genetic algorithm, MinSD, Cultural algorithm and MinLD algorithm respectively. Further our algorithms are found to be significantly scalable. The results are shown empirically on different sized networks of DBLP.
Aiming at the problems of semi-transparent smoke misdetection and fire missing detection in multi-scene fire smoke detection, a multi-scene fire smoke detection algorithm based on YOLOv8 is proposed. Firstly, deformab...
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