Information Fusion
IF
6.64
Papers
1036
Papers 1038
1 page of 104 pages (1,038 results)
Newest
Published on Jan 1, 2019in Information Fusion 6.64
Francesco Cauteruccio2
Estimated H-index: 2
,
Giancarlo Fortino31
Estimated H-index: 31
+ 5 AuthorsM. Torres Vega
Heterogeneous wireless sensor networks are a source of large amount of different information representing environmental aspects such as light, temperature, and humidity. A very important research problem related to the analysis of the sensor data is the detection of relevant anomalies. In this work, we focus on the detection of unexpected sensor data resulting either from the sensor system itself or from the environment under scrutiny. We propose a novel approach for automatic anomaly detection ...
Published on Sep 1, 2019in Information Fusion 6.64
D. Praveen Kumar1
Estimated H-index: 1
(Indian Institutes of Technology),
Tarachand Amgoth3
Estimated H-index: 3
(Indian Institutes of Technology),
Chandra Sekhara Rao Annavarapu2
Estimated H-index: 2
(Indian Institutes of Technology)
Abstract Wireless sensor network (WSN) is one of the most promising technologies for some real-time applications because of its size, cost-effective and easily deployable nature. Due to some external or internal factors, WSN may change dynamically and therefore it requires depreciating dispensable redesign of the network. The traditional WSN approaches have been explicitly programmed which make the networks hard to respond dynamically. To overcome such scenarios, machine learning (ML) techniques...
Source Cite
Published on Mar 1, 2019in Information Fusion 6.64
Xiao Wei Sun64
Estimated H-index: 64
(Hefei University of Technology),
Chen Zhang (Hefei University of Technology), Lian Li (Hefei University of Technology)
Abstract Conversational data in social media contain a great deal of useful information, and conversation anomaly detection is an important research direction in the field of sentiment analysis. Each user has his or her own specific emotional characteristic, and by studying the distribution and sampling the users’ emotional transitions, we can simulate specific emotional transitions in the conversations. Anomaly detection in conversation data refers to detecting users’ abnormal opinions and sent...
Source Cite
Published on Sep 1, 2019in Information Fusion 6.64
Kun Lv1
Estimated H-index: 1
(Beijing Institute of Technology),
Yun Chen (Beijing Institute of Technology), Changzhen Hu2
Estimated H-index: 2
(Beijing Institute of Technology)
Abstract Advanced persistent threats (APTs) pose a grave threat in cyberspace because of their long latency and concealment. In this paper, we propose a hybrid strategy game-based dynamic defense model to optimally allocate constrained secure resources for the target network. In addition, values of profits of players in this game are computed by a novel data-fusion method called NetF . Based on network protocols and log documents, the NetF deciphers data packets collected from different networks...
Source Cite
Published on Sep 1, 2019in Information Fusion 6.64
Zidong Wang98
Estimated H-index: 98
(Brunel University London),
Lifeng Ma15
Estimated H-index: 15
(Nanjing University of Science and Technology),
Fuad E. Alsaadi36
Estimated H-index: 36
(King Abdulaziz University)
Abstract This paper is concerned with the information-fusion-based state estimation problem for a class of discrete-time complex networks with time-varying delays and stochastic perturbations. The measurement outputs available for state estimation are from a fraction of network nodes, and the addressed problem is therefore referred to as the so-called Partial-Nodes-Based (PNB) state estimation problem. By employing the Lyapunov stability theory, a novel framework is established to cope with the ...
Source Cite
Published on Aug 1, 2019in Information Fusion 6.64
Kejiang Xiao (Central South University), Rui Wang1
Estimated H-index: 1
(University of Science and Technology Beijing)
+ 2 AuthorsChunhua Yang19
Estimated H-index: 19
(Central South University)
Abstract Effective energy control while maintaining reliable monitoring performance becomes a key issue in wireless sensor networks (WSNs) based surveillance applications. While importance difference of surveillance zone, limited energy and dynamic network topology pose great challenges to surveillance performance. It is necessary to adjust sensor nodes' awakening frequency dynamically for information fusion. Thus an energy-aware scheduling with quality guarantee method named ESQG is proposed in...
Source Cite
Published on Mar 1, 2019in Information Fusion 6.64
Weiwei Yuan12
Estimated H-index: 12
,
Kangya He1
Estimated H-index: 1
+ 2 AuthorsChenliang Li1
Estimated H-index: 1
Abstract By revealing potential relationships between users, link prediction has long been considered as a fundamental research issue in singed social networks. The key of link prediction is to measure the similarity between users. Existing works use connections between target users or their common neighbors to measure user similarity. Rich information available for link prediction is missing since use similarity is widely influenced by many users via social connections. We therefore propose a n...
1 Citations Source Cite
Published on Sep 1, 2019in Information Fusion 6.64
Veronika A. M. Zimmer3
Estimated H-index: 3
(Pompeu Fabra University),
Miguel Ángel González Ballester13
Estimated H-index: 13
(Pompeu Fabra University),
Gemma Piella17
Estimated H-index: 17
(Pompeu Fabra University)
Abstract The fusion and combination of images from multiple modalities is important in many applications. Typically, this process consists of the alignment of the images and the combination of the complementary information. In this work, we focused on the former part and propose a multimodal image distance measure based on the commutativity of graph Laplacians. The eigenvectors of the image graph Laplacian, and thus the graph Laplacian itself, capture the intrinsic structure of the image’s modal...
Source Cite
Published on Mar 1, 2019in Information Fusion 6.64
Xu Li5
Estimated H-index: 5
(Southeast University),
Wei Chen1
Estimated H-index: 1
+ 2 AuthorsXianghui Song1
Estimated H-index: 1
(Transport Research Institute)
Abstract It is a main challenge for land vehicles to achieve reliable and low-cost navigation solution in various situations, especially when Global Positioning System (GPS) is not available. To address this challenge, we propose an enhanced multi-sensor fusion methodology to fuse the information from low-cost GPS, MEMS Inertial Measurement Unit (IMU), and digital compass in this paper. First, a key data preprocessing algorithm based on Empirical Mode Decomposition (EMD) interval threshold filte...
1 Citations Source Cite
12345678910