This work introduces an innovative approach from modeling to simulations, integrating quantum fuzzy interpretations, focusing on the expression of membership degrees in quantum circuits, interpreted as a unitary quantum transformation. Our research contrasts Quantum Fuzzy Computing with Classical Computing, particularly in the context of the prisoner's dilemma and parent-child relationships. Through the Qiskit framework, we conduct simulations, demonstrating the differences in results obtained by both approaches. Well-known fuzzy connectives, such as “exclusive or” and “arithmetic means”, provide an algebraic description for the corresponding composition of quantum operators and circuit representations. Thus, such algorithms can easily extend to model multiple agents' relationships, described by multidimensional quantum registers. The Qiskit simulations provide the structure for the algorithms' computation on the actual quantum platforms, indicating a promising direction for future research in this hybrid research area.

With the technological advances that permeate the computer systems, the technologies are increasingly integrated into people's daily lives. Unfortunately, all the facilities offered by these advances are becoming targets for malicious attacks. Although different technologies are used to provide information security, they do not present a view of the environment as a whole. Thus, this paper presents an approach to provide situational awareness for security in computational environments, producing a holistic view. This approach explores different features since the acquisition of event, a hybrid processing, hybrid data storage, and the resulting actuation. The proposed approach was evaluated through of a prototype, which was applied in three use cases, showing to be stable and flexible in the provision of security aspects in computational environments.

Currently, billions of resources are connected to the Internet, many providing services. There is forecast to be a significant increase in the number of resources in the coming years. The adequate selection of resources that best meet the demands of users among a large number of options has been a relevant and current research challenge in the autonomic IoT management. This paper specifies and evaluates the pre-classification of new resources of the EXEHDA middleware based on the non-functional parameters of QoS. Fuzzy logic is used in the treatment of uncertainties in defining the importance weights of QoS attributes. The results obtained in the evaluation of the accuracy of the pre-classification through fuzzy logic and machine learning are presented.

The incidence of false alerts in a hospital environment undermines the health professionals' tasks, since: (i) they stressful the teams, their caregivers and the patients themselves; (ii) promote additional costs of time and attention; (iii) may cause risky situations, some of which have severe health implications in patients. Considering this scenario, the objectives of this work are to discuss the ocurrency of alerts in intravenous systems and to contribute to the reduction of the emission of false alerts in electromedical equipments, in particular in infusion pumps. To this purpose, the developed proposal, called BIRB, explores the use of Bayesian Networks to minimize the occurrence of false alerts when occurs a change in the flow rate caused by occlusions in infusion pumps. The occlusion is the procedure with the highest index of false alerts in this type of equipment. The achieved results with the BIRB proposal are promising, reaching 85% of accuracy, based on data from actual infusion pumps.

Advances in Internet of Things (IoT) have enabled interoperation between various intelligent devices, collecting and distributing contextual information, thus allowing more sophisticated models to provide context awareness. The use of middlewares is highlighted in the literature as an alternative to device management in distributed IoT infrastructure, as well as to make contextual processing more transparent to applications. Regarding this scenario, the objective of this work is to present the approach designed to provide Fog Computing to the EXEHDA middleware, providing Context Awareness for the computational edge devices present in the monitored environments. A study case was carried out in the area of Precision Viticulture (PV) evaluating the proposed approach.

The typical infrastructures of Ubiquitous Computing assume characteristics of flexibility regarding the connectivity in the environments. Aiming security in these scenarios, several solutions are deployed in its own syntax languages, providing events in different formats. In this sense, Situation Awareness, as a strategy capable of integrating events from different sources, becomes a requirement for the controls implementation. This work proposes an ontological approach to SA applied to the information security domain, called EXEHDA-SO. The proposal was evaluated based on a real infrastructure, showing itself capable of handling heterogeneous events from different contextual source.

In this paper we present a view of EXEHDA middleware and a novel service created for dynamic adaptation. EXEHDA is service-oriented, adaptive and was conceived to support the execution of ubiquitous applications. The main concept in the proposed design for the middleware and for the application is context awareness expressed in an adaptive behavior. The middleware manages and implements the follow-me semantics for ubiquitous applications. This is also a key to provide functionality adapted to the constraints and unpredictability of the large-scale environment. EXEHDA provides services for distributed adaptive execution, context recognition, ubiquitous storage and access, and anonymous and asynchronous communications. To evaluate the proposed service we developed a case study, implementing an application in medical area. Analyzing the results we can see that the users found the application easy to use and usefulness for health workers at a hospital.

Ubiquitous computing (Ubicomp) environments are characterized by high distribution, heterogeneity and dynamism. In these environments, applications must be aware of their contexts and adapt to changes in them. A major research challenge in the area of Ubicomp is related to context awareness. Considering the characteristics of ubiquitous environments, this paper presents an architecture for context awareness, called DynamiCC (Dynamic Context Composition), that includes elements to support: context modeling, contextual data collection, actuation on the environment, and composition and interpretation of contextual information. We consider that the main contributions of this work are the employ of a hybrid approach for context modeling, and the proposal of an architecture that supports the interpretation and the composition of dynamic contexts, which enables the construction of complex contexts, in runtime of applications. To assess the functionality of the DynamiCC, we did a discussion of usage scenarios, highlighting the prototypes and tests performed.

The simulation of quantum algorithms in classic computers is a task which requires high processing and storing capabilities, limiting the size of quantum systems supported by the simulators. However, optimizations for reduction of temporal and spatial complexities are promising, expanding the capabilities of some simulators. The main contribution of this work consists in designing optimizations resulting from the description of quantum transformations using Quantum Processes and Partial Quantum Processes conceived in the qGM theoretical model. These processes, when computed on the VPE-qGM execution environment, require low execution time and result in the improvement of the performance, allowing the simulation of more complex quantum algorithms. The performance evaluation of this proposal was performed by benchmarks used in similar works and included the sequential simulation of quantum algorithms up to 24 qubits. The results are promising when compared to the state-of-art, indicating the possibilities of advances in this research.

In Ubiquitous Computing the systems must provide mechanisms to promote the cooperation among users through interoperability of their applications. With this motivation, this paper presents the EXEHDA-TS, which is a distributed mechanism for coordination of applications in Ubiquitous Computing. The proposed software architecture has proactive behavior and allows a dynamic control of communication costs, promoting scalability. The EXEHDA-TS was modeled as an integrated service to the EXEHDA middleware. The prototype was evaluated through case studies in the medical field, considering the challenges inherent in the PERTMED design, satisfactorily fulfilling the requirements of the focused scenarios.