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Business processes consisting of component Web services are often executed in volatile environments where the quality of service parameters of the participating services might change during the execution of the business processes. Recently, research has been carried out on adapting composite Web service in volatile service-oriented computing environments. However, current approaches do not consider...
Application mobility is the paradigm where users can move parts of their running applications across multiple heterogeneous devices in a seamless manner. This mobility involves dynamic context changes of hardware, network resources, user environment and user preferences. State-of-the-art adaptive applications adapt in multiple ways to a subset of scenarios in application mobility, however, adaptation...
The paper considers the task of improving the efficiency of voice control of robots on the basis of adaptive procedures. This problem is considered in the context of noise resistance processing of speech signals for voice recognition subsystems. A solution to this problem is found in classes of adaptive algorithms for filtering voice signals based on sequential filtering. This model allows to improve...
Vehicular Ad-hoc Networks (VANETs) experience diverse network environments ranging from infrastructure based with dense connected vehicle communication in urban highways to infrastructurless with sparse connected vehicle communication in rural highways. Routing protocols in such challenging environments should be adaptive to work with or without a fixed infrastructure under a quickly varying connected...
From a simple entertainment activity to a learning tool, it is undeniable that video games are one of the most active and relevant areas in today's society. Since their inception, video games experienced an evolution unmatched by almost any other area and today's video games are complex pieces of software built by expensive multidisciplinary teams. Procedural Content Generation (PCG) offers an alternative...
The use of technologies to support educational processes, is a point that has been working for several years with the purpose of strengthening teaching and learning processes. The personalization of educational environments is one of its main characteristics, however it has not been completely achieved to difficulties both in modeling and implementation. In addition, it is fundamental to offer accessible...
This work presents a self-adaptation algorithm to automatically adjust the peaking settings of a continuous-time linear equalizer (CTLE) in a high-speed PAM4 receiver. A statistical approach is adopted to improve the robustness and flexibility of the adaptation algorithm. The PAM4 top level distribution around the peak value of several consecutive top levels guides the CTLE to attain the optimal digital...
The objective of our research is to define a requirements model for Adaptive Multi-organizational Systems. Our work considers the functional complexity of contemporary internet-based, multi-organizational systems. Not only the business functions, but also the interactions between the components of such systems are highly dynamic and global. Furthermore, these systems function in extremely uncertain...
Personalization and maintenance of high levels of engagement still remain two of the main challenges in the design of serious games. Towards this end, in this paper we propose a novel adaptation approach for both online and offline adaptation in prosocial games. In this paper, we describe the implementation of an artificial intelligence driven adaptation manager, whose purpose is to direct players...
In our current society, with plenty of distractions, traditional methods for learning or performing tasks are losing in effectiveness. Serious games have great potential to replace or complement these traditional methods, because they can take benefit of the intrinsic motivation of people to play and have fun. However, creating serious games that effectively achieve their serious purpose is not obvious...
This work presents a method and technology of synthesis of direct and inverse neural network models of object control, and their hardware implementation of programmable logic integrated circuits, that will automate the process of synthesis of such models and shorten the time of development and research.
The article considers an example of extending the BIM-program when designing elements of the metal bridge. The algorithm for placing the bolts in the nodes of the main through trusses of the metal bridge is provided. Examples of dialog boxes created with the help of the Tekla Open API which illustrate the implementation of the proposed algorithm are provided.
The article focuses on different initialization and training strategies for Gaussian Mixture Model (GMM) applied to speaker identification domain. The emphasis is on the overall performance of GMM in the text independent speaker identification task. Stochastic initialization scheme selecting centroids randomly from among training vectors was augmented by gradual mixture splitting using different strategies...
Development and improvement of “intellectual” materials represents a rapidly growing direction of technological development. The peculiarity of such materials lies in their ability to display structural-adaptive properties in the process of operation under certain conditions. Determination of the conditions set by topological structures formed in materials as a result of adaptive behavior is the goal...
The notion of a BPaaS is currently taking a momentum as many organisations attempt to move and offer their business processes (BPs) in the cloud. Such BPs need to be adaptively provisioned so as to sustain the service level promised in the respective SLA. However, current cloud-based adaptation frameworks cannot cover all possible abstraction levels and usually rely on simplistic adaptation rules...
In this paper, we present an approach to adapt the e-assessment workflow by considering learner's profiles. We have started by creating a learner profile ontology based on extraction data from e-assessment activities, file log and personal information. Then, we have defined three adaptation actions: Add Activity, Edit Activity and Delete Activity, applied on the workflow assessment and using information...
The ever growing demands of software solutions have led to the development of Large-Scale Distributed Systems, which bring together a wide pool of services and resources. Their composition and deployment come in different solutions tailored to users' requests based on business models, functionality, quality of service and costs. Bridging different parts into one software solution is brittle due to...
Exploration of extreme environments, including caves, canyons and cliffs on low-gravity surfaces such as the Moon, Mars and asteroids can provide insight into the geological history of the solar system, origins of water, life and prospect for future habitation and resource exploitation. Current methods of exploration utilize large rovers that are unsuitable for exploring these extreme environments...
Various Internet of Things (IoT) applications, such as home automation and disaster early warning systems, are being introduced in various areas of human life and business. Today, a common method for delivery of such applications is via component-based software engineering disciplines based on cloud computing technologies such as containers. However, there are still numerous technological challenges...
Many new Internet of Things (IoT) applications such a disaster early warning systems, video-streaming, automated driving and similar, are increasingly being built by using advanced component based software engineering approaches. Software components can include various executable images, such as container or Virtual Machine images, scripts and others. Achieving adequate Quality of Service (QoS) for...
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