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Competency Definition data objects are used to specify competencies, skills and learning objectives in a Learning Management System and in Competency Profiles. This paper presents the main standardization works in this area, covering specifications like the IEEE Reusable Competency Definition, the IMS Reusable Definition of Competency or Educational Objective and the outcomes from official standardization...
A new modeling method of human behaviors is proposed in this paper. In the proposed method, it is assumed that a person changes his behavior according to the change of the situation around him, and this concept is expressed by If-Then-Rules, which are called behavior rules. In behavior rules, a human behavior is described as a discrete event, and the change of the situation around a person is described...
Frequent partitions, intermittent connectivity and message delivery delay are the commonly observed characteristics of disruption tolerant networks (DTNs). These networks often operate over extended periods since they are regularly deployed in harsh and constrained environments. Efficient energy conservation is therefore necessary to prolong network lifetime. Most DTNs nodes depend on mobility to...
Educational software is defined as a computer software primarily used by students for the purpose of self-learning, practice making and self-testing. Teaching software out of educational ones will be studied and contribution of fuzzy logic model, one of the artificial intelligence techniques, to educational software will be discussed in the study. Existing data is assessed with the aim of solving...
This paper presents an immersive Human-centric/built virtual work cell for analyzing complex situations dynamically. This environment is supported by a custom open architecture, is composed of objects of complementary nature reflecting the level of Human understanding. Furthermore, it is controlled by an intuitive 3D bimanual gestural interface using data gloves.
The channelized Hotelling observer (CHO) has become a widely used approach for evaluating medical image quality, acting as a surrogate for human observers in early-stage research on assessment and optimization of imaging devices and algorithms. Its popularity stems from experiments showing that, when an internal-noise model is introduced, the CHO's detection performance can be tuned to correlate well...
Humans make decisions on the basis of their situation awareness and it is well-known that insufficient situation awareness leads to incorrect decisions. The challenge of an advanced surveillance system for supporting situation awareness of a human decision maker is therefore to detect and assess complex situations that evolve over time. In this article, we present a conceptual framework for automatic...
The Department of Defense's future vision for Network Centric Operations (NCO) will increase combat power by networking relevant entities across the battlefield. This will result in highly complex mission scenarios in which the operator's workload will be easily overloaded if the system is not designed to support the mission requirements. New technologies for these complex command and control environments...
This paper describes a methodology for incorporating human observations into a hard+soft information fusion process for counterinsurgency intelligence analysis. The goal of incorporating human observations into the information fusion process is important as it extends the ability of the fusion algorithms to associate and merge disparate pieces of information by allowing for information collected from...
Impedance cardiography (ICG) is a simple and cheap method to acquire hemodynamic parameters. Unfortunately, not all physiologic influences on the ICG signal have been identified, yet. In this work, the influence of the dynamics of the aorta have been analyzed using a simplified model of the human thorax with a high temporal resolution based on MRI data. Therefore, simulations have been conducted using...
Myocardial ischemia (MI) is the leading cause of morbidity and mortality in the industrialized world. The Gautier et al reported that late sodium current (INaL) kinetics was remodelled by Lysophosphatidylcholine (LPC) and provided some new insights into the underlying mechanisms of MI. In this simulation study, the kinetics of LPC-induced sodium channels was incorporated into human ventricular cell...
This paper proposes a HMM-based user's information demand estimation model for autonomous informational assistance robots to avoid providing information prematurely. The model estimates the user's implicit information demands by predicting a user's next information request using user's head movements. Through a word-association quiz-dialog experiment, our model demonstrated superior prediction performance...
Two main recent achievements of the first decade in this new century in model space based during product definition are representation of corporate knowledge in product model and extended application of contextual feature principle. Contextual connections are applied to define corporate knowledge features as relationships amongst product object parameters. Current product models include comprehensive...
The role of a human operator in machine control varies with the level of automation. In applications where the human operator is directly in control, the most significant performance variations are due to the variations in the human performance. Human control is very dexterous and is especially advantageous in complex multi-objective task execution. However, the human performance variations might...
This paper describes a navigation tool. This tool allows for content to be searched and explored based on a consumer's interests. At the back-end of the system, an automatic process gathers content data from the Semantic Web. At the front-end, an application renders associative content navigation.
The use of wireless devices with accelerometers and gyroscopes to measure the movements of humans and objects is a growing area of interest. Applications range from simple activity detection to detailed full-body motion capture using networks of sensors worn on the body. A variety of algorithms have been proposed for these applications, but opportunities for accurate evaluation and comparison have...
For pragmatic information fusion system design and analysis, the user (commander or operator/analyst) needs information in a timely manner to conduct actionable intelligence. With the development of complex information fusion systems, the user still provides valuable inputs to the information fusion system in contextual reasoning and situation understanding. In this paper, we describe the Cognitive...
In this paper, we propose a software prototype to simulate the human behavior in a domestic space. Our simulation takes into consideration the household structure and data about its residents lifestyle. The proposed system uses a multi-thread architecture, for each household's resident we deploy a single thread. The household resources management is based on the constraints propagation. We develop...
Machine Science, or Data-driven Research, is a new and interesting scientific methodology that uses advanced computational techniques to identify, retrieve, classify and analyse data in order to generate hypotheses and develop models. In this paper we describe three recent biomedical Machine Science studies, and use these to assess the current state of the art with specific emphasis on data mining,...
By taking the fact that human genome consists of more than 35% of repetitive sequence, we present a data warehouse model that is efficient for nucleotide sequence based analysis. Roman's algorithm has been adapted in order to find repeat regions and these repeats are modeled into snowflake schemas for fast storing and querying results.
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