Journal of Intelligent & Fuzzy Systems - Volume 28, issue 1

Authors: Gascueña, José M. | Navarro, Elena | Fernández-Sotos, Patricia | Fernández-Caballero, Antonio | Pavón, Juan

Article Type: Research Article

Abstract: An important issue in Ambient Intelligence (AmI) is the massive deployment of intelligent agents embedded in the environment which are adaptive to the users' profiles, preferences and needs. This is why, the use of agent-oriented methodologies and frameworks is almost mandatory to easily develop software for AmI scenarios. ICARO is a software framework that promotes the use of different organizational and behavioral patterns to implement multi-agent systems (MAS). Its extensive use in several projects demonstrates a substantial increase in software productivity. Also, in order to reduce the coding effort it is usual to design MAS at a higher level. In …this sense, code generation from MAS specifications into ICARO framework has been performed. INGENIAS Development Kit (IDK) supports both the specification of MAS models, including any feature required to implement MAS with ICARO, and a set of facilities for code generation. This paper describes the development of AmI applications thanks to the integration of ICARO and IDK. Two IDK modules have been developed, namely a “code generation” and a “code update support” module. Show more

Keywords: Multi-agent systems, agent-oriented software engineering, code generation, ambient intelligence, assisted living systems, ambient assisted systems, smart homes

DOI: 10.3233/IFS-141200

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 3-15, 2015

Authors: Gascueña, José M. | Garijo, Francisco J. | Fernández-Caballero, Antonio | Gleizes, Marie-Pierre | Machonin, André

Article Type: Research Article

Abstract: One important research area in autonomous mobile robotics is to create companions that live in our ambience and perform tasks to help in everyday life. On the other hand, Ambient Intelligence (AmI) seeks to create a network of helpful intelligent devices. This paper describes an approach for the development of cooperation models for eldercare robot teams using goal-driven control components. The framework and the approach are illustrated through the development and assessment of task allocation in multi-robot teams. Two cooperation models are implemented: (i) a team model based on the adaptive multi-agent systems theory where task responsibility is agreed among …team peers by exchanging individual estimations of the degree of difficulty and priority to achieve the task; (ii) a hierarchical model where a robot manager asks for the estimations of its team members and then assigns the task. Experimentation for team cooperation assessment is performed through considering environmental changes, as well as communications and internal failures. The proposal is simulated in an AmI-oriented elderly care center to assist seniors in need. Show more

Keywords: Adaptive multi-agent systems (AMAS), agent frameworks, robotics, distributed task allocation, cooperation models, ambient Intelligence

DOI: 10.3233/IFS-141199

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 17-28, 2015

Authors: De la Prieta, Fernando | Rodríguez, Sara | Corchado, Juan M. | Bajo, Javier

Article Type: Research Article

Abstract: Nowadays there is a clear trend towards using methods and tools that can help the development of Simulation Systems. In this regard, Multiagent System (MAS) is a key technology that allows simulating user behavior. When the user is the focus of the simulation, Ambient Intelligent (AmI) increases in importance. AmI is an emerging multidisciplinary area based on ubiquitous computing that aims to adapt the environment to the needs of the user. Moreover, Cloud Computing is revolutionizing the services provided through the Internet, continually adapting itself in order to maintain the quality of its services. This study presents a multiagent based …middleware for the simulation of agent behavior in cloud environments, and uses this information to adapt to the environment as AmI proposed. The main challenge of this work is the design and development of a new middleware that makes possible the communication between the technology in charge of the development of MAS and the technology in charge of the simulation, visualization and analysis of the behavior of the agents using the potential of cloud computing. The platform makes the computation and communication possible by following the principles proposed by AmI. Show more

Keywords: Multiagent systems, simulation, agent based simulation, cloud computing, distributed systems

DOI: 10.3233/IFS-141219

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 29-41, 2015

Authors: Sanchez-Pi, Nayat | Leme, Luiz Andre Paes | Garcia, Ana Cristina Bicharra

Article Type: Research Article

Abstract: Alarm management is a fast-growing and important aspect in the petroleum operation domain. Alarm devices have become very cheap leading petroleum equipment manufacturers to overuse them transferring safety responsibility to operators. Not rarely, accident reports cite poor operators understanding of the actual plant status due to too many active alarms. Typical alarms for a process plant could average over fourteen thousand per day so, there is mandatory to have a filtering process to distinguish expected from non-expected behavior during emergency scenarios. Ambient Intelligence contributes by enriching the petroleum plant environment with technology (mainly sensors and devices interconnected through a network) …and built a system to help plant operators to make decisions based on real-time information gathered and historical data accumulated. Ambient Intelligence puts together all these resources to provide flexible and intelligent services to users acting in their environment. Inspired by the distributed and encapsulated aspect of the process plant artifact physical model, we proposed a multi-agent-based alarm management system to synthesize the process plant situation during emergency situations and assisting operators to make sense of alarm avalanche scenarios. Show more

Keywords: Multi-agent systems, ambient intelligence, alarm management, oil industry, fault detection

DOI: 10.3233/IFS-141198

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 43-53, 2015

Authors: Ribino, Patrizia | Cossentino, Massimo | Lodato, Carmelo | Lopes, Salvatore | Seidita, Valeria

Article Type: Research Article

Abstract: Current trends in the AI's evolution are going towards enriching environments with intelligence in order to support humans in their everyday life. AmI systems are plunged in the real world and humans expect to interact with them in a way that is similar to the one they have with other humans. In this kind of systems, where eliciting requirements involves several documents and stakeholders (mainly users that will be the first consumers of the system), the requirement analysis phase can be affected by incomplete, ambiguous and imprecise information. Hence, the need to find a fruitful way for knowledge management and …its representation at design time. In this paper we propose a set of abstractions to be used during the early requirements analysis of AmI systems development. The result is a simple and at the same time powerful set of concepts and guidelines for providing environment knowledge representation for AmI systems. Show more

Keywords: Requirement analysis, smart environment, ontology, AmI model , software design

DOI: 10.3233/IFS-141217

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 55-70, 2015

Authors: Costa-Dasilva, Juan Ignacio | Gómez-Rodríguez, Alma | González-Moreno, Juan C. | Ramos-Valcárcel, David

Article Type: Research Article

Abstract: Ambient Intelligence has emerged lately as the integrating concept which includes Ubiquitous Computing, Ubiquitous Communication and Intelligent User Interfaces. The real implementation of such concepts is based on the use of new technology and innovative ways of development. Agent Oriented Software Engineering techniques and concepts have been used as a way of providing support to ubiquitous computing and communication. In addition, intelligent user interfaces require systems that provide a more efficient and rich interface with the user than the traditional ones. This paper presents a platform called MAPAS, which uses Ambient Intelligence concepts and techniques to give a fully scalable …solution to a particular problem. The chosen system provides a solution, using the platform, to personalize the dissemination of events, that is, the system makes available to the user a set of events of his/her interest. This kind of systems requires a high degree of user's personalization. However nowadays, it is the user who must search the events of interest or subscribe to several different services or pages. The platform introduced in this paper takes profit of Agent Oriented technology to provide a system composed of various agents who may run in different devices, which communicate and provide a user personalized selection of events. Moreover, the system is aware of the surrounding environment, can be installed on smart devices, provides a rich and intuitive user interface and uses Augmented Reality techniques to give spatial location data about the events. Regarding the characteristics of the solution, it seems to be suitable for problems in the domain of Ambient Intelligence. Show more

Keywords: Multiagent systems, ambient intelligence, augmented reality

DOI: 10.3233/IFS-141197

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 71-81, 2015

Authors: Vakula, V.S. | Sudha, K.R.

Article Type: Research Article

Abstract: This paper presents an analysis on dynamic performance of a three area Interconnected power system. Each area considered with effect of boiler dynamics, governor deadband and Generation Rate Constraints when subjected to parametric uncertainties. The evolution of more socialized companies for generation, transmission and distribution affects the formulation of Load Frequency Control problem. The concept of DISCOM participation matrix to simulate these bilateral contracts is introduced and reflected in the three-area block diagram. The scaling factors which transform the scaled input-output real values to required value in decision limit are tuned using Differential Evolution Algorithm. The series of control rules …in Fuzzy logic approach are made to cover all possible combinations of the ‘m’-input variables with ‘n’-membership functions will be of ‘nm ’ in number. The number of membership functions of the output fuzzy set will be (3n − 2) for n ≥ 3. The present paper investigates the performance of a structure preserving controller in a three area Interconnected power system in deregulated environment. Show more

Keywords: Load Frequency Control, Fuzzy Logic Controller, differential evolution, deregulation

DOI: 10.3233/IFS-141279

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 85-105, 2015

Authors: Zhao, Hanping | Bai, Xuemin | Zheng, Dong | Wang, Fangping

Article Type: Research Article

Abstract: Most traffic delays during regional evacuations occur due to a large number of vehicles are grouped for a short time. Thus, the reasonable assignment of a vehicle route is one strategy for reducing these delays. To identify an optimal vehicle route assignment plan, this paper presents a multi-source and multi-destination traffic network model. This model is an extension of the minimum cost flow problem and it improves the definition of the travel time based on the traffic volume. It can be used to formulate vehicle routing plans that alleviate traffic congestion and reduce the evacuation time. A genetic algorithm is …modified to find the solution for this model. The solution trades off the total vehicle travel distance against traffic jams. An application is presented for Wenzhou city, Zhejiang province, China. Show more

Keywords: Emergency evacuation, vehicle route assignment, genetic algorithm

DOI: 10.3233/IFS-141280

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 107-116, 2015

Authors: Cao, Qingwei | Wu, Jian | Liang, Changyong

Article Type: Research Article

Abstract: This article proposes an intuitionistic fuzzy multi-criteria decision making method for supplier selection problem in which attribute values take the form of intuitionistic fuzzy numbers and attribute weights are completely unknown in advance. Firstly, the definition of intuitionistic fuzzy judgement matrix by conducting pair-wise comparisons for green supplier selection criteria is introduced. Then, a novel approach for making priority of the intuitionistic fuzzy judgement matrix is proposed to determine the subject weights of criteria. Secondly, an optimization model is established to determine the objective weights, which maximizes the distance of every alternative to negative-ideal solution. Furthermore, the subject and objective …weights are integrated to general weights. Then, a Technique of ranking Preferences by Similarity to the Ideal Solution (TOPSIS) method combined with intuitionistic fuzzy set is set up to rank all the alternatives. The novelty of this method is that it conducts sensitivity analysis to determine the impact of criteria weights on ranking order of alternatives. Finally, a numerical example for green supplier selection is given to illustrate application of the proposed approach. Show more

Keywords: Green supplier selection, multi-criteria decision making, intuitionistic fuzzy number, TOPSIS method, subjective weights, objective weights

DOI: 10.3233/IFS-141281

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 117-126, 2015

Authors: da Silva, Wilson Ricardo Leal | Šmilauer, Vít

Article Type: Research Article

Abstract: Time-dependent hydration process of Portland cement presents a complex system with several uncertainties. A presented four-parametric affinity hydration model captures well the hydration kinetics when three parameters are treated as fuzzy numbers. The equations for the fuzzy affinity hydration model are derived using Zadeh's extension principle, which allows for simplifying calculations to obtain a fuzzy solution. The fuzzy model validates Portland cements with different mineral compositions, water-cement ratii raging from 0.16 to 0.50, and curing temperatures varying from 10 to 30°C. Also, the fuzzy model is verified against CEMHYD3D and s-shape hydration model. In summary, validation and verification results show …that the fuzzy model permits to predict vague conditions without lacking the credibility of results. Show more

Keywords: Affinity hydration model, cement hydration, extension principle, fuzzy numbers, modeling

DOI: 10.3233/IFS-141282

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 127-139, 2015