با سلام خدمت کاربران عزیز، به اطلاع می رساند ترجمه مقالاتی که سال انتشار آن ها زیر 2008 می باشد رایگان بوده و میتوانید با وارد شدن در صفحه جزییات مقاله به رایگان ترجمه را دانلود نمایید.
Evaluation of EPL mutation operators with the MuEPL mutation system
ارزیابی اپراتورهای جهش EPL با سیستم جهش MuEPL-2019
The expert systems (ESs) have been developed to facilitate the users their tasks, to enhance the produc- tivity and reduce losses. In order to replicate the behaviour of a human expert, they generate output using their stored knowledge base. In a ES, the accumulation of knowledge from different sources is a very important factor. Nowadays, we are living in a world where two crucial processes need to be per- form quickly: decision-making and problem solving. The complexity of the decisions and problems lays on the different factors, situations and data that are involved. The Internet of Things (IoT) has been cre- ated to address these situations and helps the users to make correct decisions in real time according to the received data. In the concept of IoT, daily life objects are connected to each other so they can transfer data over the internet without a human to human interaction. The combination of IoT and ESs is a step further for the decision making problem, the received data from the IoT system will be sent to the ES, then the ES will process the information and send the results or decisions to the user. Given that correct decisions-making and problem solving are critical processed, these complex systems need to be tested. Mutation testing, which is a technique used in fault testing, has been examined in a range of studies where different programming languages have been used as well as in IoT expert systems evaluations. However, this technique has not been applied to an IoT programming language, which is noteworthy in the case of event processing languages (EPLs), that have been designed to address the main problems of IoT systems. Among the existing EPLs, the EPL of EsperTech is used the most often. In this paper, we ap- ply mutation testing using MuEPL to EPL of EsperTech programs in order to simulate the common errors of the developers and to avoid the wrong decisions before moving out to ES in the IoT network.
Keywords: Mutation testing | EPL | Mutation system |EPL Mutation operators | Complex event processing | Internet of things
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
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
i-RM: An intelligent risk management framework for context-aware ubiquitous cold chain logistics
I-RM: یک چارچوب مدیریت ریسک هوشمند برای تدارکات زنجیره سرد آگاه از متن حاضر در همه جا-2016
Keywords:Risk managementReal-time context-awareness Complex event processing OntologyUbiquitous cold chain logisticsOwing to the increasing interest in food quality in terms of freshness, a special type of logistics, called ubiquitous cold chain logistics (UCCL), has become an essential part of the distribution of environmentally sensitive items. UCCL aims to guarantee that delivery items are held under proper environmental conditions. By incorporating ubiquitous technologies such as radio frequency identiﬁcation (RFID) tags and various types of sensors, monitoring and tracking environmental conditions for delivery items in UCCL have been easily achievable without latency. Nevertheless, addressing the complex nature of risk management rules caused by a large number of possible risk cases in UCCL has not yet been fully developed. Therefore, in this research, we suggest an intelligent risk management framework for UCCL, namely i-RM, which is designed to accommodate various types of risk situations by introducing the notion of context-aware real-time risk management. More speciﬁcally, i-RM takes a divide-and-combine approach where rules for risk management functions, context identiﬁcation, risk detection, and response action judgment are deﬁned in semantic ontologies. While rules for the risk management functions are deﬁned independently of the others, they are dynamically linked for handling risks during run time. Moreover, i-RM is fully responsible for all of the risk management tasks required in UCCL, from information acquisition to responses in real time, by adopting event-based processing techniques. The effectiveness of the risk management ability of i-RM is demonstrated based on a real-world UCCL scenario.© 2015 Elsevier Ltd. All rights reserved.
Keywords: Risk management | Real-time context-awareness | Complex event processing | Ontology | Ubiquitous cold chain logistics