6,188 research outputs found
Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms
The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications
AEGIS:Agent oriEnted orGanISations
Today's enterprises are faced with highly dynamic, sometimes even hostile environments. This paper dicovers that the two most prominent organizational strategies addressing these challenges, namely that of widespread decentralization and of business process orientation, are inherently conflicting. We argue that cooperative knowledge processing technology can contribute to dissolve this conflict. For this purpose, we introduce the reader into the field of Distributed Artificial Intelligence. On that basis we then develop the concept of Agent oriEnted orGanISations (AEGIS), in order to support the flexible modeling and management of business processes in decentralized organizational settings. Applying to methods of Distributed Planning a set of process modeling and process interaction operators is defined. These operators also permit to automatically create and customize computerized configurations of business processes. The concepts are presented in the context of an application in private banking, namely that of a Credit Advisory System.<br
Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability
Internet-of-Things (IoT) envisions an intelligent infrastructure of networked
smart devices offering task-specific monitoring and control services. The
unique features of IoT include extreme heterogeneity, massive number of
devices, and unpredictable dynamics partially due to human interaction. These
call for foundational innovations in network design and management. Ideally, it
should allow efficient adaptation to changing environments, and low-cost
implementation scalable to massive number of devices, subject to stringent
latency constraints. To this end, the overarching goal of this paper is to
outline a unified framework for online learning and management policies in IoT
through joint advances in communication, networking, learning, and
optimization. From the network architecture vantage point, the unified
framework leverages a promising fog architecture that enables smart devices to
have proximity access to cloud functionalities at the network edge, along the
cloud-to-things continuum. From the algorithmic perspective, key innovations
target online approaches adaptive to different degrees of nonstationarity in
IoT dynamics, and their scalable model-free implementation under limited
feedback that motivates blind or bandit approaches. The proposed framework
aspires to offer a stepping stone that leads to systematic designs and analysis
of task-specific learning and management schemes for IoT, along with a host of
new research directions to build on.Comment: Submitted on June 15 to Proceeding of IEEE Special Issue on Adaptive
and Scalable Communication Network
On the high-quality development of “blockchain +” enabled smart tourism
Promoting the integrated application of blockchain technology and smart tourism is conducive to improving the efficiency of smart tourism public service platform and guiding the innovation of tourism public service mode; It is conducive to cultivating the new connotation of smart tourism development and activating the new driving force of tourism development; It is conducive to cultivating new forms of tourism and providing new opportunities for the development and transformation of tourism. Many regions have laid out tourism and smart tourism as demonstration application fields for the deep integration of blockchain and real economy. Its basic orientation is to build blockchain tourism platform, establish multi-party consensus mechanism, build blockchain tourism credit management system, expand application fields and enrich application scenarios. In order to accelerate the high-quality development of tourism enabled by “blockchain + smart tourism”: Firstly, accelerate the research, formulation and introduction of relevant policy implementation plans; secondly, build a smart tourism ecological engineering system supported by blockchain technology; thirdly, try to build a blockchain tourism credit management system to solve the market pain points; fourthly, focus on promoting tourism consumption blockchain points to build a global tourism chain.
Architecture of a Microgrid and Optimal Energy Management System
With the growing population trends, the demand for electricity is accelerating rapidly. The policy planners and developers have great focus to utilize renewable energy resources (RERs) to encounter the scarcity of energy since they offer benefits to the environment and power systems. At present, the energy generation is evolving into a smart distribution system that assimilates several energy resources assuring to generate clean energy, to have reliable operational procedures, and to enhance the energy supervision and management arrangements. Therefore, the model of a distributed microgrid (DMG) with optimal energy management strategies based on multi-agent systems (MASs) technique has been focused in this chapter. Distributed energy resources (DER) have been considered for the generation of electrical power to fulfill the consumer’s load demands. Thus, a fully controlled architecture of a grid along with concept of MAS and its development platforms, implementation, and operational procedures have been discussed in detail. In addition, agent’s operations and their coordination within the MG arrangements have been focused by considering the supervision of the entire system autonomously. Moreover, optimal procedures of a microgrid (MG) energy supervision and power distribution system have also been presented considering the cost control and optimal operations of the entire MG at the distributed level
Web 3.0: The Future of Internet
With the rapid growth of the Internet, human daily life has become deeply
bound to the Internet. To take advantage of massive amounts of data and
information on the internet, the Web architecture is continuously being
reinvented and upgraded. From the static informative characteristics of Web 1.0
to the dynamic interactive features of Web 2.0, scholars and engineers have
worked hard to make the internet world more open, inclusive, and equal. Indeed,
the next generation of Web evolution (i.e., Web 3.0) is already coming and
shaping our lives. Web 3.0 is a decentralized Web architecture that is more
intelligent and safer than before. The risks and ruin posed by monopolists or
criminals will be greatly reduced by a complete reconstruction of the Internet
and IT infrastructure. In a word, Web 3.0 is capable of addressing web data
ownership according to distributed technology. It will optimize the internet
world from the perspectives of economy, culture, and technology. Then it
promotes novel content production methods, organizational structures, and
economic forms. However, Web 3.0 is not mature and is now being disputed.
Herein, this paper presents a comprehensive survey of Web 3.0, with a focus on
current technologies, challenges, opportunities, and outlook. This article
first introduces a brief overview of the history of World Wide Web as well as
several differences among Web 1.0, Web 2.0, Web 3.0, and Web3. Then, some
technical implementations of Web 3.0 are illustrated in detail. We discuss the
revolution and benefits that Web 3.0 brings. Finally, we explore several
challenges and issues in this promising area.Comment: ACM Web Conference 202
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