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ردیف | عنوان | نوع |
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1 |
Fog Node Self-Control Middleware: Enhancing context awareness towards autonomous decision making in Fog Colonies
میان افزار خودکنترلی گره مه: افزایش آگاهی از زمینه به سمت تصمیم گیری مستقل در کلونی های مه-2022 The concept of Fog Colonies has recently been introduced in Fog Computing, and is rapidly
gaining attention. As Fog Colonies are extended, Fog Colony Control mechanisms have gained
significant interest. Although, there are numerous solutions efficiently supporting a Context
Aware coordinating entity, exploring approaches for decentralized control remains a challenge.
Towards this direction, there are efforts promoting the concept of autonomous Fog Nodes,
making their own decisions with internalized control without the existence of a coordinating
entity. In this paper we propose and implement a Context Aware Self-Control management
middleware for Fog Nodes, enabling their Self-Management utilizing contextual information
shared between Fog colony members. To that end, we employ Policy Rulebooks to define
Context Aware Policies that each Fog Node can enforce. Finally, we evaluated the proposed
middleware against a non Context Aware one, under exactly the same conditions, using a
real-world smart building use case, focusing on performance issues related to the end-user.
keywords: Fog Computing Fog Node | Fog Colony Management | Distributed Control Software | Self Control Middleware | Autonomous Fog Nodes | Context awareness | Operational policies |
مقاله انگلیسی |
2 |
A knowledge-intensive adaptive business process management framework
چارچوب مدیریت فرآیند تجاری تطبیقی مبتنی بر دانش-2021 Business process management has been the driving force of optimization and operational efficiency for
companies until now, but the digitalization era we have been experiencing requires businesses to be
agile and responsive as well. In order to be a part of this digital transformation, delivering new levels
of automation-fueled agility through digitalization of BPM itself is required. However, the automation
of BPM cannot be achieved by solely focusing on process space and classical planning techniques. It
requires a holistic approach that also captures the social aspects of the business environment, such as
corporate strategies, organization policies, negotiations, and cooperation. For this purpose, we combine
BPM, knowledge-intensive systems and intelligent agent technologies, and yield one consolidated
intelligent business process management framework, namely agileBPM, that governs the entire BPM
life-cycle. Accordingly, agileBPM proposes a modeling methodology to semantically capture the
business interests, enterprise environment and process space in accordance with the agent-oriented
software engineering paradigm. The proposed agent-based process execution environment provides
cognitive capabilities (such as goal-driven planning, norm compliance, knowledge-driven actions, and
dynamic cooperation) on top of the developed business models to support knowledge workers’ multicriteria decision making tasks. The context awareness and exception handling capabilities of the
proposed approach have been presented with experimental studies. Through comparative evaluations,
it is shown that agileBPM is the most comprehensive knowledge-intensive process management
solution.
keywords: مدیریت فرآیند کسب و کار | فرایندهای دانش فشرده | مدل سازی و اجرای فرآیند | انطباق فرآیند | مدیریت فرآیند کسب و کار مبتنی بر عامل | مدیریت فرآیند کسب و کار چابک | Business process management | Knowledge-intensive processes | Process modeling and execution | Process adaptation | Agent-based business process management | Agile business process management |
مقاله انگلیسی |
3 |
Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey
محاسبات متن آگاه، یادگیری و داده های بزرگ در اینترنت اشیا: یک مرور-2018 Internet of Things (IoT) has been growing rapidly
due to recent advancements in communications and sensor technologies. Meanwhile, with this revolutionary transformation,
researchers, implementers, deployers, and users are faced with
many challenges. IoT is a complicated, crowded, and complex
field; there are various types of devices, protocols, communication
channels, architectures, middleware, and more. Standardization
efforts are plenty, and this chaos will continue for quite some
time. What is clear, on the other hand, is that IoT deployments
are increasing with accelerating speed, and this trend will not
stop in the near future. As the field grows in numbers and heterogeneity, “intelligence” becomes a focal point in IoT. Since data
now becomes “big data,” understanding, learning, and reasoning
with big data is paramount for the future success of IoT. One of
the major problems in the path to intelligent IoT is understanding “context,” or making sense of the environment, situation,
or status using data from sensors, and then acting accordingly
in autonomous ways. This is called “context-aware computing,”
and it now requires both sensing and, increasingly, learning, as
IoT systems get more data and better learning from this big
data. In this survey, we review the field, first, from a historical
perspective, covering ubiquitous and pervasive computing, ambient intelligence, and wireless sensor networks, and then, move to
context-aware computing studies. Finally, we review learning and
big data studies related to IoT. We also identify the open issues
and provide an insight for future study areas for IoT researchers
Index Terms: Big data in Internet of Things (IoT), context awareness, data management and analytics, machine learning in IoT |
مقاله انگلیسی |
4 |
Towards the agility of collaborative workflows through an event driven approach – Application to crisis management
به سوی چابکی گردش کار مشترک از طریق یک رویکرد مبتنی بر رویداد - کاربرد در مدیریت بحران-2018 Organizations are more and more involved into collaborations to face globalization, crisis situations or market
demand. Consequently, they are strongly dependent on their collaborative processes and matching workflows,
which have to be relevant and efficient through time. As collaborations and their context are now fast evolving,
agility of collaborative workflows is now an unavoidable requirement. Several solutions have been developed to
deal with this issue, but they often focus their monitoring on a single aspect of the collaboration and/or impose a
single adaptation strategy to face the detected evolutions. This article describes a platform to support decision
making about the adaptation strategy to lead by: (i) taking into account and exploit relevant data gathered from
the collaboration itself and its environment (context awareness); (ii) proposing relevant adaptation strategies to
correct or improve the collaborative behaviour. Based on the solutions proposed by the platform, decision
makers can choose the most appropriate adaptation tool to perform the selected adaptation strategy. As crisis
responses are specific cases of collaboration in an unstable context of execution (short time to react, highly
evolving environment), a proof of concept based on the Fukushima Daiichi nuclear disaster is developed to
illustrate the use of the developed platform.
Keywords: Agility ، Adaptation ، Collaborative workflow ، Complex Event Processing ، Crisis response ، Service Oriented Architecture |
مقاله انگلیسی |
5 |
COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things
معماری سرویس گرا متن اگاه همکارانه برای تصمیم گیری هوشمند در اینترنت اشیاء-2017 Internet of Things (IoT) has radically transformed the world; currently, every device can be connected
to the Internet and provide valuable information for decision-making. In spite of the fast evolution of
technologies accompanying the grow of IoT, we are still faced with the challenge of providing a service
oriented architecture, which facilitates the inclusion of data coming together from several IoT devices,
data delivery among a system’s agents, real-time data processing and service provision to users. Fur
thermore, context-aware data processing and architectures still pose a challenge, in spite of being key
requirements in order to get stronger IoT architectures. To face this challenge, we propose a COLLabora
tive ConText Aware Service Oriented Architecture (COLLECT), which facilitates both the integration of IoT
heterogeneous domain context data — through the use of a light message broker — and easy data delivery
among several agents and collaborative participants in the system — making use of an enterprise service
bus —. In addition, this architecture provides real-time data processing thanks to the use of a complex
event processing engine as well as services and intelligent decision-making procedures to users accord
ing to the needs of the domain in question. As a result, COLLECT has a great impact on context-aware
decentralized and collaborative reasoning for IoT, promoting context-aware intelligent decision making in
such scope. Since context-awareness is key for a wide range of recommender and intelligent systems,
the presented novel solution improves decision making in a large number of fields where such systems
require to promptly process a variety of ubiquitous collaborative and context-aware data.
Keywords: Service oriented architecture | Complex event processing | Collaborative Internet of Things | Context awareness | Intelligent decision-making |
مقاله انگلیسی |
6 |
The specification and design of secure context-aware workflows
مشخصات و طراحی گردش کارهای آگاهانه امن-2017 Article history:Received 4 February 2017Revised 14 May 2017Accepted 29 May 2017Available online 31 May 2017Keywords: Workflows Context-aware Security SpecificationThere are two major concerns in the development of current workflow system. The first is security con- siderations and the second is context awareness.Modern workflow systems cross the boundaries of organisations, each may have its own security re- quirements, policies and constraints. Even within one organisation, activities in a workflow system may be executed, in one of its instances, within a platform, but in another instance it may be executed or performed on a different platform with completely different environment. Indeed it may not even be au- tomated. This lends modern workflow systems to be security and context-critical. This is in addition to the fact that some of its activities must satisfy variety of hard timing constraints.Current specification and design languages for workflow systems are inadequate in dealing with context- aware secure workflows. This paper presents a sound wide-spectrum language, CS − F low, for the spec- ification and design of context-aware, secure workflow systems. As workflow systems have strong tem- poral aspects (e.g. activity sequencing, deadline, scheduling constraints, etc.), the proposed CS − F low is equipped with a rich set of temporal constructs together with temporal proof rules which can be used to be integrated with temporal expert systems, hence enhancing the capabilities of current workflow soft- ware. In addition, CS − F low is supported by a proof system which underpins the workflow engine that provides decision service using its state to make some decision and update the workflow state. CS − F low therefore provides a sound linkage between expert systems and workflow engines.© 2017 Elsevier Ltd. All rights reserved. Keywords: Workflows | Context-aware | Security Specification |
مقاله انگلیسی |
7 |
Patient Monitoring System Based on Internet of Things
سیستم نظارت بر بیمار بر اساس اینترنت اشیاء-2016 The increased use of mobile technologies and smart devices in the area of health has caused great impact on the world. Health
experts are increasingly taking advantage of the benefits these technologies bring, thus generating a significant improvement in
health care in clinical settings and out of them. Likewise, countless ordinary users are being served from the advantages of the M
Health (Mobile Health) applications and E-Health (health care supported by ICT) to improve, help and assist their health.
Applications that have had a major refuge for these users, so intuitive environment. The Internet of things is increasingly
allowing to integrate devices capable of connecting to the Internet and provide information on the state of health of patients and
provide information in real time to doctors who assist. It is clear that chronic diseases such as diabetes, heart and pressure among
others, are remarkable in the world economic and social level problem. The aim of this article is to develop an architecture based
on an ontology capable of monitoring the health and workout routine recommendations to patients with chronic diseases.
Keywords: Internet of Things | Ontology | E-Health | Context Awareness |
مقاله انگلیسی |
8 |
ORACON: An adaptive model for context prediction
ORACON: مدل تطبیقی برای پیش بینی متن-2016 Keywords:Context awareness Context prediction Prediction algorithmsContext prediction has been receiving considerable attention in the last years. This research area seems to be the next logical step in context-aware computing, which, until a few years ago, had been concerned more with the present and the past temporal dimensions. Most of research works related to context prediction employ the same algorithm for all cases. We did not find any approach that automatically decides the best prediction method according to the situation. Therefore, we propose the ORACON model. ORACON adapts itself in order to apply the best algorithm to the case. This adaptive behavior is the main contribution of this work and differentiates the proposed model of other related works. Furthermore, ORACON supports other im- portant aspects of ubiquitous computing, such as, context formal representation and privacy. We have built a functional prototype that allowed us to conduct two experiments. The first experiment successfully tested the main functionalities provided by ORACON to support context prediction and privacy aspects. The test used context histories generated with a location database that contains 22 millions chekins across 220,000 users in the location sharing services Foursquare and Twitter. The second experiment assessed the adaptive feature of the ORACON. The test simulated the behavior of 30 users for a period of 30 days, using context histories generated through the Siafu simulator. This tool generates data for the evaluation and the com- parison of machine learning methods in mobile context-aware settings. We concluded that ORACON chose the most accurate prediction algorithm in the simulated scenario, proving that the model reached the main contribution sought by this research.© 2015 Elsevier Ltd. All rights reserved.
Context awareness | Context prediction | Prediction algorithms |
مقاله انگلیسی |
9 |
Modeling knowledge need awareness using the problematic situations elicited from questions and answers
دانش مدلسازی مبتنی بر آگاهی با استفاده از موقعیت های مشکل ساز بدست آمده از پرسش و پاسخ-2015 Being aware of people’s unuttered knowledge needs is the prerequisite of providing ‘‘active’’ and ‘‘in
time’’ knowledge assistance. However, such an awareness of knowledge needs has been achieved at a
high cost since most existing methods rely on the manually defined rules or a large amount of user data
to work. In this paper, we formulate the problematic situations in task processing as knowledge
application context (KAC), and propose to elicit KACs semi-automatically from domain Q&A archives.
Assuming that the KACs frequently occurring and semantically matching with the user’s task context
are more likely to imply the knowledge needs of the user, we design a mechanism of knowledge need
awareness (KNA) to predict users’ knowledge needs in complex tasks. Experimental results show that
the proposed method has significantly outperformed the information retrieval approaches used as
baselines. The study provides a new method for reusing the contextualized knowledge in Q&A and
thereby opens up a new way to build efficient active knowledge systems.
Keywords:
Knowledge need
Knowledge application context
Active knowledge system
Questions and answers
Context awareness |
مقاله انگلیسی |