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Two strategies for fusing information from multiple sources when generating predictive models in the domain of pesticide classification are investigated: i) fusing different sets of features (molecular descriptors) before building a model and ii) fusing the classifiers built from the individual descriptor sets. An empirical investigation demonstrates that the choice of strategy can have a significant...
This paper studies the feasibility of information analysis processing technology, which fuses speech and image together in the real-time monitoring system. It emphasizes particularly on speech analysis and fuses these two technologies in terms of scoring strategy. It also makes some improvement on MFCC feature extraction and proposes a quick MFCC algorithm. The proposed algorithm can reach the requirement...
The fundamental point of this paper is that the fusion of several simple, somewhat unreliable, and somewhat inefficient frontal face detectors results in an efficient and reliable frontal face detector which, without any training, performs similarly to a state-of-the-art neural network based face detector trained on 60,000 images. The simple detectors used include a skin detector, symmetry detectors,...
Information fusion is a key factor for insuring information superiority in various military and civil surveillance systems. Military applications may be found in air defence, force and convoy protection, and combat management systems for naval ships. Coastal and urban surveillance, air traffic control, and Harbour protection address more civil areas. A new aspect in all these applications is the issue...
Prior to committing personnel to investigate a building or suspicious site such as a cave, it is imperative to determine the importance and current danger of the site. To this end, sensors on a robotic platform can interrogate the site prior to sending in personnel. This paper investigates methods to exploit multiple sensor modalities in order to automatically 1) detect human presence, and 2) detect...
Uncertainty makes the analysis of even simple situations difficult. It forces situation analysts to formulate and manage hypotheses during the construction of the explicit representations of the real world situations. Because of human cognitive limitations, this may quickly become overwhelming, even for the most experienced and capable analysts. In an attempt to provide better support systems, this...
The purpose of information fusion is to support and improve decision making. However, theories of decision making differ significantly on their view of what a good decision actually is. Hence, depending on which decision making theory one (un)consciously adopts there are different requirements for information fusion as decision support Information fusion researchers and practitioners should therefore...
This paper presents an innovative approach to the field of information fusion. Fuzzy mediation differentiates itself from other algorithms, as this approach is dynamic in nature. The experiments reported in this work analyze the interaction of two distinct controllers as they try to maneuver an artificial agent through a path. Fuzzy mediation functions as fusion engine to integrate the two inputs...
Current conceptual models for information fusion, including the JDL model do not consider the fact that their information sources are often based on different ontological bases. We therefore suggest that the Alignment functional process of the JDL model, which caters for space and time common referencing, be augmented with the notional aspect of common ontological alignment We illustrate this with...
Hyperspectral imaging is becoming increasingly important in a variety of applications. These images contain a large number of contiguous bands to provide information at a fine spectral resolution and, therefore, cannot be displayed directly using an RGB color display. There has been some recent work on the problem of fusing hyperspectral images to three-band images for color display purposes. In this...
MacDonald Dettwiler is leading a PRECARN partnership project to develop an advanced simulation testbed for the evaluation of the effectiveness of Network Enabled Operations in a coastal large volume surveillance situation. The main focus of this testbed is to study concepts like distributed information fusion, dynamic resources and networks configuration management, and self synchronising units and...
This paper compares different defense strategies against various attacks utilizing a dynamic game theoretic data fusion framework for Cyber network defense. In our game theoretic framework, alerts generated by intrusion detection sensors (IDSs) or intrusion prevention sensors (IPSs) are fed into the data refinement (Level 0) and object assessment (LI) data fusion components. High-level situation/threat...
It is a critical consideration to collect and fuse sensed information in an energy efficient manner for obtaining a long lifetime of the sensor network. Based on our findings that the conventional methods of direct transmission, shortest path routing, and Dempster-Shafer tool may not be optimal for data fusion of sensor networks, we propose LEECF (low-energy event centric fusion), a event-centric-based...
Most predictive modeling in information fusion is performed using ensembles. When designing ensembles, the prevailing opinion is that base classifier diversity is vital for how well the ensemble will generalize to new observations. Unfortunately, the key term diversity is not uniquely defined, leading to several diversity measures and many methods for diversity creation. In addition, no specific diversity...
A reasonable starting place for developing decision fusion rules of families of classification systems is using the logical AND and OR rules. These two rules, along with the unary rule NOT, can lead to a Boolean algebra when a number of properties are shown to exist. This paper examines how these rules for classification system families comprise a Boolean algebra of systems. This Boolean algebra of...
Over-the-horizon (OTH) radar and automatic identification system (AIS) are commonly used in the surveillance of maritime areas. This paper presents a method, which includes tracking and association algorithms, for fusing the information from these two types of systems into an overall maritime picture. Data to be fused consists of asynchronous track estimates from the OTH system and measurements obtained...
In this work, we consider a relatively new representation used in cognitive theory to describe how people understand concepts. This representation is called conceptual spaces, and is a geometrical way to represent human thought. Our work relates conceptual spaces to data fusion, first at level 1, and later to be extended to level 2 (as defined by JDL [1]). In this paper, we focus on modeling these...
Providing commanders with advanced decision aids requires a good understanding of the processes involved, their information requirements, and the development of formal domain models upon which reasoning processes can be based. Ontologies, as formal domain models, constitute a key component to provide a shared understanding of a domain, and have received increasing interest for the building of advanced...
Today due to the importance and necessity of implementing security systems in homes and buildings with the capability of higher certainty and lower cost, sensor fusion methods as applicable and high performance methods are attracting the researchers' attention. In this paper, the application of Dempster-Shafer evidential theory and the more general and newer one Dezert-Smarandache theory for implementing...
In this paper, we address the problem of representing domain knowledge for situation awareness in a security application. While ontologies are appropriate for describing taxonomical knowledge, they cannot express more complex knowledge such as entailments. In this paper, we describe how domain knowledge can be encoded through OWL ontologies and SWRL rules in order to reason about the entities and...
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