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Positive Energy Districts (PEDs) have the potential of accelerating the decarbonization of urban areas and promoting scalability between cities. The development and real-world implementation of such innovative concepts can be enhanced through urban energy modelling. However, assessing PEDs can be challenging, and information on this topic is scarce and fragmented. The main contribution of this paper is collecting and analyzing challenges and limitations of energy modelling software for assessing PEDs through five case studies in Italy, Spain, The Netherlands, Denmark and Canada. Case studies are assessed first from a modelling approach, then the main identified challenges and limitations of modelling tools for PEDs are discussed, and finally, various ongoing trends and research needs in this field are suggested.

In order to avoid errors in engineering design that affect the later product life cycle, especially the manufacturing process, an analysis or evaluation has to be performed at the earliest possible stage. As this evaluation is very knowledge-intensive and often this knowledge is not directly available to the engineer, this paper presents an approach for a knowledge-based and collaborative engineering design agent. The technology based on multi-agent systems enables problem-solving support by an autonomous knowledge-based system which has its own beliefs, goals, and intentions. The presented approach is embedded in a CAD development environment and validated on an application example from engineering design.

Education logistics concerns the integral planning and control (P&C) of education related activities in education organizations, encompassing activities such as scheduling, facility management, staffing, performance management, curriculum development, and ICT management. It has a significant impact on the overall effectiveness and efficiency of the organization. The use of P&C needs to transcend the overtone of finance and aim for the much broader meaning of integral coordination or the organization. This paper introduces a new framework for education organizations to design, optimize, and govern their education logistics and its developments. It introduces hierarchical layers of P&C in a similar way as existing theoretical P&C frameworks for other sectors such as industry and healthcare, and distinguishes different process areas within these layers. We demonstrate that the current dominant way of P&C in education is falling short in numerous aspects, thereby impeding both innovation and the effective and efficient implementation of emerging educational paradigms. Our framework for smart education organizations counters current P&C deficiencies by closing existing coordination gaps between directive-, primary-, and support processes. Currently, these process areas in higher education organizations are often functionally dispersed through lack of horizontal alignment. Our framework defines and integrates levels of control for different process areas, thereby integrating and aligning decision making in the organization.

Clinical decision support systems (CDSSs) are human-centered intelligent systems (HCISs) that use codified medical expertise or large data sets for medical decision recommendations. Most analytical CDSS that exploit the opportunities of large data sets and analytic technique remain within a research and development environment and lack adoptions in clinical contexts. To understand this, we analyse CDSS adoption as an organizational learning process. We apply a model of organizational learning on the case of an analytical CDSS implementation which analyses medical data to predict the probability on sepsis for prematurely born babies to support the physicians’ decision-making on ministering antibiotics. In our discussion, we next compare our case findings with possible organizational learning challenges for the adoption of other (medical) HCISs and we draw consequences for projects of HCIS adoption in organizations.

In mechanical engineering, designers have to review a designed artefact iteratively with different domain experts, e.g. from manufacturing, to avoid later changes and find a robust, optimized design. To support the designer, knowledge-based engineering offers a set of approaches and techniques that formalize and implement engineering knowledge into generic product models or decision support systems. An implementation which satisfies especially the concurrent nature of today's design processes and allow for multi-objective decision-making is multi-agent systems. Such systems consist of entities that are capable of autonomous action, interact intelligently with their environment, communicate and collaborate. In this paper, such a multi-agent system is discussed as extension for a computer-aided design software where the agents take the role of domain experts, like e.g. manufacturing technologists and make suggestions for the optimization of the design of mechanical engineering parts. A focal point is set on the collaboration concept of the single agents. Therefore, the paper proposes the use of an action-item-list as central information and knowledge sharing platform. © 2020 The Authors. Published by Elsevier B.V.

The Visual World Paradigm (VWP) is used to study online spoken language processing and produces time-series data. The data present challenges for analysis and they require significant preprocessing and are by nature nonlinear. Here, we discuss VWPre, a new tool for data preprocessing, and generalized additive mixed modeling (GAMM), a relatively new approach for nonlinear time- series analysis (using mgcv and itsadug), which are all available in R. An example application of GAMM using preprocessed data is provided to illustrate its advan‐ tages in addressing the issues inherent to other methods, allowing researchers to more fully understand and interpret VWP data.

This volume presents a series of carefully selected papers on the theme of Intelligent Interactive Multimedia Systems and Services (IIMSS-18), but also includes contributions on Innovation in Medicine and Healthcare (InMed-18) and Smart Transportation Systems (STS-18).

It is generally expected that in the future, photovoltaics will be able to contribute substantially to the mainstream power production, and that through their widespread commercialization, Building-Integrated Photovoltaics (BIPV) systems will become the backbone of the zero-energy building (ZEB) European target for 2020. An outlook on the BIPV market estimated the worldwide installed BIPV capacity during 2016 to nearly 2 GW, confirming the growing trend, increasing by 12.6% compared to 2015, when 1.78 GW were installed [1]. This paper presents the results of the Dem4BIPV project (http://www.dem4bipv.eu/), which has been designed to develop innovative master-level courseware for various European academic institutes focusing on Building-Integrated Photovoltaics (BIPV) in order to bridge the existing knowledge gaps in education of the target audiences (students and professionals in the building sector) as well as to create awareness on the subject. A project survey among BIPV stakeholders showed that lack of education is one of the barriers to BIPV deployment helping at the same time to identify teaching goals and subsequently courses addressing the needs of each target audience related to BIPV. Finally, a full 40 ECTS curriculum on BIPV was developed and is briefly presented in this paper.

Traditional chatbots lack the capability to correctly manage conversations according to the social context. However a dialogue is a joint activity that must consider both individual and social processes. In this work we propose a model of a social chatbot able to choose the most suitable dialogue plans according to what in sociological literature is called a “social practice”. The proposed model is discussed considering a case study of a work in progress aimed at the development of a serious game for communicative skills learning.

At a time when computers are more widespread than ever and computer users range from highly qualified scientists to non-computer expert professionals, Intelligent Interactive Systems are becoming a necessity in modern computer systems. The solution of "one-fits-all" is no longer applicable to wide ranges of users of various backgrounds and needs. Therefore, one important goal of many intelligent interactive systems is dynamic personalization and adaptivity to users. Multimedia Systems refer to the coordinated storage, processing, transmission, and retrieval of multiple forms of information, such as audio, image, video, animation, graphics, and text. The growth rate of multimedia services has become explosive, as technological progress matches consumer needs for content.

This book contains a collection of innovative chapters emanating from topics raised during the 5th KES International Conference on Intelligent Decision Technologies (IDT), held during 2013 at Sesimbra, Portugal. The authors were invited to expand their original papers into a plethora of innovative chapters espousing IDT methodologies and applications. This book documents leading-edge contributions, representing advances in Knowledge-Based and Intelligent Information and Engineering System. It acknowledges that researchers recognize that society is familiar with modern Advanced Information Processing and increasingly expect richer IDT systems. Each chapter concentrates on the theory, design, development, implementation, testing or evaluation of IDT techniques or applications. Anyone that wants to work with IDT or simply process knowledge should consider reading one or more chapters and focus on their technique of choice. Most readers will benefit from reading additional chapters to access alternative technique that often represent alternative approaches. This book is suitable for anyone interested in or already working with IDT or Intelligent Decision Support Systems. It is also suitable for students and researchers seeking to learn more about modern Artificial Intelligence and Computational Intelligence techniques that support decision-making in modern computer systems.

Innovation in medicine and healthcare is an interdisciplinary research area, which combines the advanced technologies and problem solving skills with medical and biological science. A central theme of this proceedings is Smart Medical and Healthcare Systems (modern intelligent systems for medicine and healthcare), which can provide efficient and accurate solution to problems faced by healthcare and medical practitioners today by using advanced information communication techniques, computational intelligence, mathematics, robotics and other advanced technologies. The techniques developed in this area will have a significant effect on future medicine and healthcare. The volume includes 53 papers, which present the recent trend and innovations in medicine and healthcare including Medical Informatics; Biomedical Engineering; Management for Healthcare; Advanced ICT for Medical and Healthcare; Simulation and Visualization/VR for Medicine; Statistical Signal Processing and Artificial Intelligence; Smart Medical and Healthcare System and Healthcare Support System.

The volume of information on the Web is constantly growing. Consequently, finding specific pieces of information becomes a harder task. Wikipedia, the largest online reference Website is beginning to witness this phenomenon. Learners often turn to Wikipedia in order to learn facts regarding different subjects. However, as time passes, Wikipedia articles get larger and specific information gets more difficult to be located. In this work, we propose an automatic annotation method that is able to precisely assign categories to any textual resource. Our approach relies on semantic enhanced annotations and the categorization schema of Wikipedia. The results of a user study show that our proposed method provides solid results for classifying text and provides a useful support for locating information. As implication, our research will help future learners to easily identify desired learning topics of interest in large textual resources. European Commission/QualiMaster/ICT 619525

This book contains innovative research from leading researchers who presented their work at the 17th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2013, held in Kitakyusha, Japan, in September 2013. The conference provided a competitive field of 236 contributors, from which 38 authors expanded their contributions and only 21 published. A plethora of techniques and innovative applications are represented within this volume. The chapters are organized using four themes. These topics include: data mining, knowledge management, advanced information processes and system modelling applications. Each topic contains multiple contributions and many offer case studies or innovative examples. Anyone that wants to work with information repositories or process knowledge should consider reading one or more chapters focused on their technique of choice. They may also benefit from reading other chapters to assess if an alternative technique represents a more suitable approach. This book will benefit anyone already working with Knowledge-Based or Intelligent Information Systems, however is suitable for students and researchers seeking to learn more about modern Artificial Intelligence techniques.

This book contains the contributions presented at the 2nd international KES conference on Smart Education and Smart e-Learning, which took place in Sorrento, Italy, June 17-19, 2015. It contains a total of 45 peer-reviewed book chapters that are grouped into several parts: Part 1 - Smart Education, Part 2 – Smart Educational Technology, Part 3 – Smart e-Learning, Part 4 – Smart Professional Training and Teachers’ Education, and Part 5 – Smart Teaching and Training related Topics. This book can be a useful source of research data and valuable information for faculty, scholars, Ph.D. students, administrators, and practitioners - those who are interested in innovative areas of smart education and smart e-learning. .

This research book presents some specific multimedia systems that have been developed and applied in practice. More specifically, it consists of an editorial, an introductory chapter and six chapters as below. Use of Multi-attribute Decision Making for Combining Audio-Lingual and Visual-Facial Modalities in Emotion Recognition. Cooperative Learning assisted by Automatic Classification within Social Networking Services. Improving Peer-to-Peer Communication in e-Learning by Development of an Advanced Messaging System. Fuzzy-based Digital Video Stabilization in Static Scenes. Development of Architecture, Information Archive and Multimedia Formats for Digital e-Libraries. Layered Ontological Image for Intelligent Interaction to extend User Capabilities on Multimedia Systems in a Folksonomy Driven Environment. .

This monograph book is focused on the recent advances in smart, multimedia and computer gaming technologies. The Contributions include: Smart Gamification and Smart Serious Games. Fusion of secure IPsec-based Virtual Private Network, mobile computing and rich multimedia technology. Teaching and Promoting Smart Internet of Things Solutions Using the Serious-game Approach. Evaluation of Student Knowledge using an e-Learning Framework. The iTEC Eduteka. 3D Virtual Worlds as a Fusion of Immersing, Visualizing, Recording, and Replaying Technologies. Fusion of multimedia and mobile technology in audioguides for Museums and Exhibitions: from Bluetooth Push to Web Pull. The book is directed to researchers, students and software developers working in the areas of education and information technologies. .

Agents and multi-agent systems are related to a modern software paradigm which has long beenrecognized as a promising technology for constructingautonomous, complex andintelligent systems.Thetopics covered in this volume include agent-oriented software engineering,agent co-operation, co-ordination,negotiation, organization and communication,distributed problem solving,specification of agentcommunication languages, agentprivacy, safety and security,formalization of ontologies and conversational agents. The volume highlights new trends andchallenges in agent and multi-agent research and includes 38 papers classifiedin the following specific topics:learningparadigms, agent-based modeling and simulation, business model innovation anddisruptive technologies,anthropic-oriented computing, serious games andbusiness intelligence,design and implementation of intelligent agentsand multi-agent systems,digital economy, and advances in networkedvirtual enterprises.Published papershave been presented at the 9th KESConference on Agent and Multi-Agent Systems – Technologies and Applications(KES-AMSTA 2015)held in Sorrento, Italy. Presented results should be of value tothe research community working in the fields of artificial intelligence,collective computational intelligence, robotics,dialogue systems and, inparticular, agent and multi-agent systems, technologies, tools and applications. .

This book presents the 57 papers accepted for presentation at the Seventh KES International Conference on Intelligent Decision Technologies (KES-IDT 2015), held in Sorrento, Italy, in June 2015. The conference consists of keynote talks, oral and poster presentations, invited sessions and workshops on the applications and theory of intelligent decision systems and related areas. The conference provides an opportunity for the presentation and discussion of interesting new research results, promoting knowledge transfer and the generation of new ideas. The book will be of interest to all those whose work involves the development and application of intelligent decision systems.

Intelligent interactive multimedia systems and services will be ever more important in computer systems. Nowadays, computers are widespread and computer users range from highly qualified scientists to non-computer expert professionals. Therefore, designing dynamic personalization and adaptivity methods to store, process, transmit and retrieve information is critical for matching the technological progress with the consumer needs. This book contains the contributions presented at the eighth international KES conference on Intelligent Interactive Multimedia: Systems and Services, which took place in Sorrento, Italy, June 17-19, 2015. It contains 33 peer-reviewed scientific contributions that focus on issues ranging from intelligent image or video storage, retrieval, transmission and analysis to knowledge-based technologies, from advanced information technology architectures for video processing and transmission to advanced functionalities of information and knowledge-based services. We believe that this book will serve as a useful source of knowledge for both academia and industry, for all those faculty members, research scientists, scholars, Ph.D. students and practitioners, who are interested in fundamental and applied facets of intelligent interactive multimedia.

Connectivity and relatedness of Web resources are two concepts that define to what extent different parts are connected or related to one another. Measuring connectivity and relatedness between Web resources is a growing field of research, often the starting point of recommender systems. Although relatedness is liable to subjective interpretations, connectivity is not. Given the Semantic Web's ability of linking Web resources, connectivity can be measured by exploiting the links between entities. Further, these connections can be exploited to uncover relationships between Web resources. In this paper, we apply and expand a relationship assessment methodology from social network theory to measure the connectivity between documents. The connectivity measures are used to identify connected and related Web resources. Our approach is able to expose relations that traditional text-based approaches fail to identify. We validate and assess our proposed approaches through an evaluation on a real world dataset, where results show that the proposed techniques outperform state of the art approaches. CAPES EU/FP7/2007-2013 CNP FAPERJ

In this special issue, a total of seven articles, based on extended papers from the 12th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2008) as well as from other submissions, are presented. These papers form a small sample of research in demonstrating the usefulness of intelligent information processing techniques in the design and application of neural networks.