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In this publication a two-step approach for resourceoptimal sensor scheduling in intelligence is presented. This approach has been developed in close cooperation with subjectmatter experts from the Intelligence, Surveillance, and Reconnaissance (ISR) domain. It constitutes the fundamental basis of a computer-aided assistance system for ISR management personal.
This article discusses students' self- and co-regulation during their engagement in a senior design project. The specific focus of this study was to understand how participants monitor their design process and manage their projects with their teammates. Fourteen students working in four different teams participated in the study, each of which were in their senior year of Biological Engineering courses...
According to Federal Council of Engineering, in Brazil the Engineers deficit is estimated at about 20,000 per year on several areas of engineering. Among other factors, one of the causes of this deficit is the high failure rate in the disciplines within the technical area which causes students to take up to twice the time required to complete the course. This phenomenon is also reflected in the Vocational...
Situational awareness supports mission assurance and requires access to archived and real-time information that is most relevant to the mission being performed, the roles of warfighters, and evolving operational scenarios. Information Management (IM) services support the discovery, brokering, and dissemination of past and future information in support of military missions. They decouple information...
The objectives of this article are: 1) to present a taxonomy for mixed-initiative human-robot interaction and 2) to survey its state of practice through the examination of past research along each taxonomical dimension. The paper starts with some definitions of mixed-initiative interaction (MII) from the perspective of human-computer interaction (HCI) to introduce the basic concepts of MII. We then...
The use of automated robot systems in many different contexts and applications has increased significantly in recent years. A prominent application area is the transport of objects, which has applications to simple cases of moving objects in a home environment as well as in more complex scenarios, such as in search and rescue missions or commercial warehouses. In this work we propose a methodology...
We are combining symbolic and geometric planning to synthesize human-aware plans in order to deal with the complex and highly intricate planning problems induced by Human-Robot collaborative object manipulation. In this paper, we summarize our previous contributions - refining symbolic actions at geometric level, during the symbolic planning, in order to assess their feasibility and computing the...
Increasing financial and service demand pressures drives the London Underground maintenance business to shift its focus from reactive to proactive maintenance. Part of the strategy is to enhance the current condition monitoring capability through the introduction of intelligent remote condition monitoring systems that could provide advisory information regarding the optimum time to undertake maintenance...
In this paper we propose a multi-valued extension of the Halpern-Shoham logic (HS). The HS system is a modal logic of time intervals, with a rich set of ordering relations between intervals, which is potentially useful for temporal planning issues. Our extension may be exploited for a representation of both temporal relations and preferences, which adds some "rationality' for this planning. The...
Task learning in robotics requires repeatedly executing the same actions in different states to learn the model of the task. However, in real-world domains, there are usually sequences of actions that, if executed, may produce unrecoverable errors (e.g. breaking an object). Robots should avoid repeating such errors when learning, and thus explore the state space in a more intelligent way. This requires...
Recently there has been a lot of focus on human robot co-habitation issues that are often orthogonal to many aspects of human-robot teaming; e.g. on producing socially acceptable behaviors of robots and de-conflicting plans of robots and humans in shared environments. However, an interesting offshoot of these settings that has largely been overlooked is the problem of planning for serendipity - i...
Supervision and control of Autonomous underwater vehicles (AUVs) has traditionally been focused on an operator determining a priori the sequence of waypoints of a single vehicle for a mission. As AUVs become more ubiquitous as a scientific tool, we envision the need for controlling multiple vehicles which would impose less cognitive burden on the operator with a more abstract form of human-in-the-loop...
Context-aware Cloud services, which may significantly enhance usability of the future Internet-based information infrastructure, also brings in new challenges to Cloud system development. In this paper, we investigate application of value engineering, a systematic method for achieving optimal system design, to address the challenges introduced by the complex computing and networking systems required...
Personalized learning aims to offer students the adaptive learning supports according to individual learning capabilities. However, most students may be difficult to efficiently self-regulate their learning behavior to conduct the active learning processes due to the insufficient Self-Regulated Learning (SRL) abilities. Therefore, this study adopts the SRL learning strategies to design and develop...
In Agile software development, key artefacts used to support the process are the User Story (usually recorded on a Storycard) and Story Cardwall (usually a dedicated portion of a wall). These low-fidelity tools work together to help teams stay focused and self-manage their projects. The need to support distributed teams and team members makes the physical Cardwall impractical and teams are therefore...
One of the most pressing challenges of healthcare innovation today is the lack of technology adoption. Research that improves our ability to understand, predict, and advance technology adoption in health care needs to be based on well-tested theories. With the interest to conduct high quality research in health technology adoption in future, this study reviews the theories used in this context to...
With the increasing number of food-allergenic patients, we have many online services providing allergy-safe food recipes; however, the number of the allergy-safe food recipes is much smaller than ordinary food recipes. It is deemed that we can have more allergy-safe food recipes, if allergy-free ingredients could be extracted from the large number of the ordinary food recipes. However, it is difficult...
Effort estimation is a project management activity that is mandatory for the execution of software projects. Despite its importance, there have been just a few studies published on such activities within the Agile Global Software Development (AGSD) context. Their aggregated results were recently published as part of a secondary study that reported the state of the art on effort estimation in AGSD...
We introduce innovations in a Digital Teaching Platform (DTP) through tools centred on supporting the teacher. We focus on the utilisation of data about the students and the class in order to recommend actions and content for the teacher. For this, we need a platform with novel capabilities. First, we augment the content delivery application with data collecting capabilities. Second, we create a cloud-based...
The workflow satisfiability problem has been studied by researchers in the security community using various approaches. The goal is to ensure that the user/role is authorised to execute the current task and that this permission doesn't prevent the remaining tasks in the workflow instance to be achieved. A valid authorisation plan consists in affecting authorised roles and users to workflow tasks in...
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