Levels of integration in cognitive control and sequence processing in the prefrontal cortex

Cognitive control is necessary to flexibly act in changing environments. Sequence processing is needed in language comprehension to build the syntactic structure in sentences. Functional imaging studies suggest that sequence processing engages the left ventrolateral prefrontal cortex (PFC). In contrast, cognitive control processes additionally recruit bilateral rostral lateral PFC regions. The present study aimed to investigate these two types of processes in one experimental paradigm. Sequence processing was manipulated using two different sequencing rules varying in complexity. Cognitive control was varied with different cue-sets that determined the choice of a sequencing rule. Univariate analyses revealed distinct PFC regions for the two types of processing (i.e. sequence processing: left ventrolateral PFC and cognitive control processing: bilateral dorsolateral and rostral PFC). Moreover, in a common brain network (including left lateral PFC and intraparietal sulcus) no interaction between sequence and cognitive control processing was observed. In contrast, a multivariate pattern analysis revealed an interaction of sequence and cognitive control processing, such that voxels in left lateral PFC and parietal cortex showed different tuning functions for tasks involving different sequencing and cognitive control demands. These results suggest that the difference between the process of rule selection (i.e. cognitive control) and the process of rule-based sequencing (i.e. sequence processing) find their neuronal underpinnings in distinct activation patterns in lateral PFC. Moreover, the combination of rule selection and rule sequencing can shape the response of neurons in lateral PFC and parietal cortex

Toward Establishing a Catalog of Security Architecture Weaknesses

The architecture design of a software system plays a crucial role in addressing security requirements early in the development lifecycle through forming design solutions that prevent or mitigate attacks in a system. Consequently, flaws in the software architecture can impact various security concerns in the system, thereby introducing severe breaches that could be exploited by attackers. In this context, this thesis presents the new concept of Common Architectural Weakness Enumeration (CAWE), a catalog that identifies and categorizes common types of vulnerabilities rooted in the software architecture design and provides mitigation techniques to address each of them. Through this catalog, we aim to promote the awareness of architectural flaws and stimulate security design thinking to developers, architects and software engineers. This work also investigates the reported vulnerabilities from four real and complex software systems to verify the existence and implications of architecture weaknesses. From this investigation, we noted that a variety of breaches are indeed rooted in the software design (at least 35% in the investigated systems), providing evidence that architectural weaknesses frequently occurs in complex systems, resulting in medium to high severe vulnerabilities. Therefore, a catalog of such type of weaknesses can be useful for adopting proactive approaches to avoid design vulnerabilities

EG-ICE 2021 Workshop on Intelligent Computing in Engineering

The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways

Anomalies detection in adhesive wall tiling systems by infrared thermography

Tiling systems for building facade coatings are widely used all over the world. Despite very common, mainly due to its aesthetic characteristics, this kind of cladding is characterised by a complex application, given the fact that it is a system in direct contact with a support (the rendered wall) and composed by three different components with specific characteristics and technical requirements: the tiles, the adhesive grout, and the joint grout. This complexity can result in several possible anomalies, as it is the case of detachment, the most common onerous one and probably the most difficult anomaly to early diagnosis in this type of cladding. Infrared thermography is a non-destructive testing method with a broad applicability in buildings’ inspection. The method consists in using a thermal camera that, by detecting thermal radiation, reads thermal variations that can indicate the presence of anomalies. Taking into account this diagnosis method’s potential, it was developed in LNEC a wide study where the results of thermographic surveys on laboratory specimens, exterior panels cladded with tiles with controlled anomalies and case studies of real situations are presented. In order to characterize the claddings behaviour and the anomalies’ detectability using this method, in a first phase eight specimens were studied in laboratory with differences in terms of: colour, thickness, kind of support, finishing and presence of anomaly. In a second phase, four panels divided into two experimental cells, located in LNEC’s campus, aiming to evaluate the diagnostic technique in exterior facades with differences in terms of tiles’ colour and support of application. As a complement of the laboratory surveys (indoors and outdoors) certain features of this kind of cladding were characterized, such as their emittance and reflectance. In order to evaluate infrared thermography’s diagnosis capability in real and unfamiliar situations, two real cases of buildings in Lisbon, cladded with ceramic tiles, were studied. The results obtained in the form of thermal differentials between “normal” and “anomalous” zones in a tiled facade or specimen proved that Infrared Thermography can be a valuable tool to early identification of anomalies, mainly detachments, in this kind of coating systems

EG-ICE 2021 Workshop on Intelligent Computing in Engineering

The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways

Assisted Viewpoint Interaction for 3D Visualization

Many three-dimensional visualizations are characterized by the use of a mobile viewpoint that offers multiple perspectives on a set of visual information. To effectively control the viewpoint, the viewer must simultaneously manage the cognitive tasks of understanding the layout of the environment, and knowing where to look to find relevant information, along with mastering the physical interaction required to position the viewpoint in meaningful locations. Numerous systems attempt to address these problems by catering to two extremes: simplified controls or direct presentation. This research attempts to promote hybrid interfaces that offer a supportive, yet unscripted exploration of a virtual environment.Attentive navigation is a specific technique designed to actively redirect viewers' attention while accommodating their independence. User-evaluation shows that this technique effectively facilitates several visualization tasks including landmark recognition, survey knowledge acquisition, and search sensitivity. Unfortunately, it also proves to be excessively intrusive, leading viewers to occasionally struggle for control of the viewpoint. Additional design iterations suggest that formalized coordination protocols between the viewer and the automation can mute the shortcomings and enhance the effectiveness of the initial attentive navigation design.The implications of this research generalize to inform the broader requirements for Human-Automation interaction through the visual channel. Potential applications span a number of fields, including visual representations of abstract information, 3D modeling, virtual environments, and teleoperation experiences

Conference on Intelligent Robotics in Field, Factory, Service, and Space (CIRFFSS 1994), volume 1

The AIAA/NASA Conference on Intelligent Robotics in Field, Factory, Service, and Space (CIRFFSS '94) was originally proposed because of the strong belief that America's problems of global economic competitiveness and job creation and preservation can partly be solved by the use of intelligent robotics, which are also required for human space exploration missions. Individual sessions addressed nuclear industry, agile manufacturing, security/building monitoring, on-orbit applications, vision and sensing technologies, situated control and low-level control, robotic systems architecture, environmental restoration and waste management, robotic remanufacturing, and healthcare applications