Tracking users\u27 actions over social media: Application to Facebook

© 2016 IEEE. This paper presents a system for tracking the execution of social actions over Facebook along with the execution of business tasks. Putting social actions like post and comment together, results into developing social flows. Webhooks is used to listen to the changes happening over Facebook pages. Keywords: Business Task, Facebook, Social Action, and Social Flow

Detecting and tackling run-time obstacles in social business processes

© 2017 IEEE. This paper presents an approach for detecting and tackling obstacles that could fail the execution of social business processes. Existing approaches target regular (non-social) business processes and thus, rely mainly on business logs that contain details such as who executes what, when, and where. However, interactions between a business process\u27s three components namely task, machine, and person, are overlooked. This deprives process engineers from valuable details that could help detect and tackle obstacles. These details refer to task-2-task, machine-2-machine, and person-2-person interactions and are recorded in social logs. Both business and social logs are part of an architecture that includes monitor, solver, and crawler components. A system implementing the architecture is also presented in the paper and illustrates how logs are developed and structured using eXtensible Event Stream format

Norm-based and commitment-driven agentification of the Internet of Things

There are no doubts that the Internet-of-Things (IoT) has conquered the ICT industry to the extent that many governments and organizations are already rolling out many anywhere,anytime online services that IoT sustains. However, like any emerging and disruptive technology, multiple obstacles are slowing down IoT practical adoption including the passive nature and privacy invasion of things. This paper examines how to empower things with necessary capabilities that would make them proactive and responsive. This means things can, for instance reach out to collaborative peers, (un)form dynamic communities when necessary, avoid malicious peers, and be “questioned” for their actions. To achieve such empowerment, this paper presents an approach for agentifying things using norms along with commitments that operationalize these norms. Both norms and commitments are specialized into social (i.e., application independent) and business (i.e., application dependent), respectively. Being proactive, things could violate commitments at run-time, which needs to be detected through monitoring. In this paper, thing agentification is illustrated with a case study about missing children and demonstrated with a testbed that uses different IoT-related technologies such as Eclipse Mosquitto broker and Message Queuing Telemetry Transport protocol. Some experiments conducted upon this testbed are also discussed

Cognitive computing meets the internet of things

Abstract: This paper discusses the blend of cognitive computing with the Internet-of-Things that should result into developing cognitive things. Today’s things are confined into a data-supplier role, which deprives them from being the technology of choice for smart applications development. Cognitive computing is about reasoning, learning, explaining, acting, etc. In this paper, cognitive things’ features include functional and non-functional restrictions along with a 3 stage operation cycle that takes into account these restrictions during reasoning, adaptation, and learning. Some implementation details about cognitive things are included in this paper based on a water pipe case-study

Everything-as-a-Thing for Abstracting the Internet-of-Things

Copyright © 2018 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved This paper discusses Everything-as-a-Thing (*aaT) as a novel way for abstracting the Internet-of-Things (IoT) applications. Compared to other forms of abstraction like Everything-as-a-Service (*aaS) and Everything-as-a-Resource (*aaR), *aaT puts emphasis on living things, on top of non-living things, that populate these applications. On the one hand, living things take over roles that are defined in terms of rights and duties. On the other hand, non-living things offer capabilities that are defined in terms of functional and non-functional properties. Interactions that occur between living and non-living things are specified as stories that define who does what, when, and where. For illustration purposes, *aaT is put into action using a healthcare case study

Software agents meet internet of things

The last few years have seen a rapid democratization of things to the extent that they have become omnipresent in our surroundings and daily lives. Many buzzwords like smart cities, smart homes, and smart wrists exemplify thing democratization. Unfortunately, Internet of Things (IoT) adoption is slowing down due to first, the nature of things being usually “passive” and second, the multiplicity of things\u27 development tools and communication standards. Both are impacting the quality of IoT applications and undermining the capabilities that these applications could offer to users. In this position paper, we discuss the “agentification” of things, using norms and commitments, as a means to address their passive nature. At the conceptual level, norms ensure that things operate in accordance to users\u27 best interests. Also, at the operational level, commitments ensure that things will not deviate from the prescribed norms and hence, avoid violations that could lead to penalties. An architecture supporting thing agentification along with some ongoing efforts are discussed in this paper

In Situ Mutation for Active Things in the IoT Context

Copyright © 2018 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved This paper discusses mutation as a new way for making things, in the context of Internet-of-Things (IoT), active instead of being passive as reported in the ICT literature. IoT is gaining momentum among ICT practitioners who see a lot of benefits in using things to support users have access to and control over their surroundings. However, things are still confined into the limited role of data suppliers. The approach proposed in this paper advocates for 2 types of mutation, active and passive, along with a set of policies that either back or deny mutation based on specific “stopovers” referred to as permission, prohibition, dispensation, and obligation. A testbed and a set of experiments demonstrating the technical feasibility of the mutation approach, are also presented in the paper. The testbed uses NodeMCU firmware and Lua script interpreter

Impact de l'a priori sur les performances de l'égaliseur MAP et distribution des LRV extrinsèques

Afin de combattre les effets des interférences entre symboles (IES), l'égaliseur optimal à utiliser est basé sur le critère Maximum a posteriori (MAP). Nous considérons le cas où l'égaliseur MAP est alimenté par des informations apriori sur les données émises, comme pour un turbo égaliseur. Nous proposons d'étudier analytiquement l'impact de l'a priori sur les performances de l'égaliseur MAP. Nous distinguons deux cas d'étude : le cas où les informations a priori sont fiables et le cas où elles ne sont pas fiables. Dans un turbo égaliseur, l'égaliseur et le décodeur s'échangent des Logarithmes du Rapport de Vraisemblance (LRV) extrinsèques pour améliorer les performances au fil des itérations. Nous proposons ici d'étudier analytiquement la distribution de ces LRV. Le but de cette étude est d'effectuer de manière analytique, dans un travail futur, l'analyse de la convergence des turbo égaliseurs utilisant un égaliseur MAP

Cloud vs edge: Who serves the Internet‐of‐Things better?

Usually announced to the ICT community as rivals in the Internet‐of‐Things (IoT) context, cloud and edge could work together according to their respective capabilities. Today\u27s IoT applications can be dependent neither on a single technology (either SQL or noSQL) nor on a single operation model (either centralized or decentralized). The multiple challenges are complexity of user scenarios, multiplicity of things, sensitivity of data, etc. This paper raises the question of who serves IoT better? Cloud, only; edge, only; or both together. To answer this question, clouds\u27 and edges\u27 duties are identified and then a set of collaborative scenarios are discussed with respect to these duties

Everything as a resource: Foundations and illustration through Internet-of-things

© 2017 Elsevier B.V. This paper presents Everything-as-a-Resource (*aaR) as a paradigm for designing collaborative applications on the Web. Abstracting these applications’ various physical and logical entities, resources are defined in a way that permits their discovery, composition, and participation in business scenarios. Compared to Everything-as-a-Service (*aaS), resources are categorized into computational, consumed, and produced, have trackable lifecycles as per their respective category, and are customized in order to consider the characteristics of future resource-based collaborative applications to develop. From a capacity perspective, a computational resource processes data, a produced resource abstracts data, and a consumed resource captures data. Along with their capacities, resources expose methods that other resources and/or applications’ stakeholders call. The proper call of methods is ensured through restrictions like limited and non-shareable. This paper exemplifies the *aaR paradigm with a case study that revolves around the use of Internet-of-Things (IoT) in the healthcare domain. The case study is implemented in a RESTful fashion along with some standard Web technologies and protocols. The evaluation of IoTR4HealthCare system is benchmarked against two existing systems using cost and latency criteria