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Extending metaphorically the Moisilean idea of ‘nuanced-reasoning logic’ and adapting it to the e-world age of Information Technology (IT), the paper aims at showing that new logics, already useful in modern software engineering, become necessary mainly for Multi-Agent Systems (MAS), despite obvious adversities. The first sections are typical for a position paper, defending such logics from an anthropocentric perspective. Through this sieve, Section 4 outlines the features asked for by the paradigm of computing as intelligent interaction, based on ‘nuances of nuanced-reasoning’, that should be reflected by agent logics. To keep the approach credible, Section 5 illustrates how quantifiable synergy can be reached - even in advanced challenging domains, such as stigmergic coordination - by injecting symbolic reasoning in systems based on sub-symbolic ‘emergent synthesis’. Since for future work too the preferred logics are doxastic, the conclusions could be structured in line with the well-known agent architecture: Beliefs, Desires, Intentions. [ABSTRACT FROM AUTHOR]

As an international scientific journal, Studies in Informatics and Control (SIC) covers the field of Information Technology (IT) and topics related to research areas, as well as important applications in IT, with particular emphasis on Advanced Automatic Control, Modeling and Optimization. SIC has greatly contributed to the areas where it involves since its first online publication way back in 1992. This paper sets out to analyze the structure and the underlying trend of the journal by making use of bibliometric methods. Firstly, the classical indicators are provided to illustrate the performance of the journal. This current study performs an in-depth analysis of the most productive and the most influential authors, institutions, and countries/regions, as well as the most cited research works published in SIC. Secondly, the visualization tools VoS viewer and CiteSpace are used to create scientific maps that may explain the structure of the journal in an intuitionistic way. In the science mapping, the co-citation maps, and the co-authorship networks of various items (such as authors, institutions, and countries/regions) are conducted. Also, the bursts detection of these items are derived. The co-occurrence of keywords and their bursts detection and timeline review are shown, respectively. Finally, some conclusions are given. This paper provides a comprehensive and visual understanding of this well-regarded scientific journal. [ABSTRACT FROM AUTHOR]

International Journal of Computers Communications & Control (IJCCC) is an international journal in the fields of automation control systems and computer science. According to Web of Science (WoS), the first document of IJCCC was published in 2006. In this paper, we study the research trends of publications in IJCCC by performing bibliometric analysis from 2006 to 2019. 982 publications are selected from WoS after data preprocessing by VOS viewer and CiteSpace. Firstly, fundamental information of publications is explored including the type, the annual trend and the most cited publications in IJCCC. Secondly, characteristics of countries/regions, institutions and authors are presented in terms of evaluation indicators. Next, landscape analysis is conducted to show the development of IJCCC at level of countries/regions, institutions, authors and references, such as co-authorship analysis, bibliographic coupling analysis, co-citation and burst detection analysis, cooccurrence and timeline view analysis. Based on which, discussions about current challenges and possible research trends of IJCCC are provided. Finally, some main findings are summarized. This paper offers a valuable reference for scholars to understand the research trends of IJCCC and grasp hot topics related to relative fields. [ABSTRACT FROM AUTHOR]

This paper presents a comprehensive metric to evaluate the link quality and the corresponding control schemes for the distributed control of a team of robots to maintain the communication links. The mobile robots dynamically reconfigure themselves to maintain reliable end-to-end communication links. Such applications require online measurements of communication quality in real time and require a mapping between link quality and robot positions. In this paper, we present the empirical results and analysis of a link variability study for an indoor and outdoor environments including received signal strength indicator (RSSI), throughput and packet loss rate. The distributed control algorithms consider the environmental constrains and obstacles. Moreover, the self-deployment algorithms allow a team of robots to recognize the coverage gap by monitoring link qualities, and deploy the mobile robots for a variety of applications including self-healing, tethering, intelligent relaying. The assessment of link quality acts as the feedback for cooperative control of mobile robots. The experimental results have shown the effectiveness of evaluation for communication links and the related control schemes. [ABSTRACT FROM AUTHOR]

Cryptographic embedded systems are vulnerable to Differential Power Analysis (DPA) attacks. In this paper, Grain-128 stream cipher is implemented using SABL hiding technique. The cipher is designed by BSim 130nm technology and simulated by HSpice software. Simulations show DPA resistivity of SABL implementation of Grain-128 has a major improvement. The paper presents the tradeoffs involved in designing the architecture, the design for performance issues and the possibilities for future development. [ABSTRACT FROM AUTHOR]

There is a great diversity of ways to use fuzzy inference in robot control systems, either in the place where it is applied in the control scheme or in the form or type of inference algorithms used. On the other hand, artificial neural networks ability to simulate nonlinear systems is used in different researches in order to develop automated control systems of industrial processes. In these applications of neural networks, there are two important steps: system identification (development of neural process model) and development of control (definition of neural control structure). In this paper we present some modelling applications, which uses fuzzy and neural controllers, developed on a pneumatic actuator containing a force and a position sensor, which can be used for robotic grinding operations. Following the simulation one of the algorithms was tested on an experimental setup. The paper also presents the development of a NARMA-L2 neural controller for a pneumatic actuator using position feedback. The structure had been trained and validated, obtaining good results. [ABSTRACT FROM AUTHOR]

The paper describes a rather general software mechanism developed primarily for decision making in dynamic and uncertain environments (typical application: managing overbooking). DOMINO (Decision-Oriented Mechanism for "IF" as Non-deterministic Operator) is meant to deal with undecidability due to any kind of future contingents. Its description here is self-contained but, since a validation is underway within a much broader undertaking involving agent-oriented software, to impair redundancy, several aspects explained in very recent papers are here abridged. In essence, DOMINO acts as an "IF" with enhanced semantics: it can answer "YES", "NO" or "UNDECIDABLE in the time span given" (it renders control to an exception handler). Despite its trivalent logic semantics, it respects the rigours of structural programming and the syntax of bivalent logic (it is programmed in plain C++ to be applicable to legacy systems too). As for most novel approaches, expectations are high, involving a less algorithmic, less probabilistic, less difficult to understand method to treat undecidability in dynamic and uncertain environments, where postponing decisions means keeping open alternatives (to react better to rapid environment changes). [ABSTRACT FROM AUTHOR]

The computer-assisted learning is a very modern study area, which can be applied to the learning process. The main objective of this paper is to present a software system for online learning based on the intelligent software agents technologies. The main ideas on which this paper is built are: to any person is associated a learning profile (the idea is based on the existence of multiple intelligences, defined by Gardner [3]); the pedagogical resources can be shaped through educational semantic networks or through conceptual maps; a flexible software system in computer assisted learning must be based on the intelligent agents' technology. The system dedicated to computer-assisted learning must be adapted to the learning profile of each student. The author presents a flexible online teaching software system, which learns to teach according to the learning profile of each student (the author defines this system in the PhD thesis and includes: intelligent agent structures, reward learning algorithms, algorithms to generate plans for an agent). The application includes two agents: the supervising agent and the pedagogical agent, which determines the optimal pedagogical resources for teaching the course. The application has been designed in Microsoft Visual Studio 6.0 and uses Microsoft Agent Technology, which allows vocal recognition. Also, the Protéjé 3.0 software has been used, software that allows building ontology for computer assisted learning. The system has been experimented on the Graph Theory Course, taught at postuniversitary computer science courses, the results proving the necessity of defining a strategy for selecting the pedagogical resources presented to the students according to their learning profile. [ABSTRACT FROM AUTHOR]

Metric spaces and their various generalizations occur frequently in computer science applications. This is the reason why, in this paper, we introduced and studied the concept of fuzzy b-metric space, generalizing, in this way, both the notion of fuzzy metric space introduced by I. Kramosil and J. Michálek and the concept of b-metric space. On the other hand, we introduced the concept of fuzzy quasi-bmetric space, extending the notion of fuzzy quasi metric space recently introduced by V. Gregori and S. Romaguera. Finally, a decomposition theorem for a fuzzy quasipseudo- b-metric into an ascending family of quasi-pseudo-b-metrics is established. The use of fuzzy b-metric spaces and fuzzy quasi-b-metric spaces in the study of denotational semantics and their applications in control theory will be an important next step. [ABSTRACT FROM AUTHOR]

Information security is not a new topic in academics and industry. However, through a comprehensive literature review, we found that most research in information security focus on technical perspectives including evaluation methods and mathematical approaches for securities, risk mitigation algorithms, with some research focus on economic perspective of information security and even a few talked about social engineering of information security. There is not a unique framework to integrate different types of research in information security. We believe that information security research apply the theories and methodologies in systems engineering to investigate the problems, that is, information security engineering. In this paper, we propose a conceptual framework of information security engineering. This framework explicitly illustrates the methodological system, content system, procedures and strategies for information security engineering research and practices. [ABSTRACT FROM AUTHOR]

In this paper we illuminate the first decade of Fuzzy Sets and Systems (FSS) where nobody thought that this theory would be successful in the field of applied sciences and technology. We show that especially Lotf A. Zadeh, the founder of the theory of FSS, expected that his theory would have a role in the future of computer systems as well as humanities and social sciences. When Mamdani and Assilian picked up the idea of FSS and particularly Fuzzy Algorithms to establish a first Fuzzy Control system for a small steam engine, this was the Kick-off for the "Fuzzy-Boom" in Japan and later in the whole world and Zadeh's primary intention trailed away for decades. Just in the new millennium a new movement for Fuzzy Sets in Social Sciences and Humanities was launched and, hopefully, will persist! [ABSTRACT FROM AUTHOR]

The paper is aiming at launching the debate / forum to discuss the new scientific discipline of "c-Enterprise" (e-E) within the knowledge-based Society paradigm. There are great challenges to support the solid foundation of the new "science", copying with the requirements list of Knowledge-based society focusing on globalization and e-democracy approach for c-Enterprise. The first key-driver is the coherent and consistent new methodology for General System Theory based modeling, analysis, performance evaluation and conceptual design of c-Enterprise. The second one concerns with Digital World Theory and Applications based on advanced research in Mathematics, Physics and Computing Practice. A Romanian National Research funding-based project "REMEDIUM" (environment 4 health) is used as a complex study case. [ABSTRACT FROM AUTHOR]

Code mobility technologies attract more and more developers and consumers. Numerous domains are concerned, many platforms are developed and interest applications are realized. However, developing good software products requires modeling, analyzing and proving steps. The choice of models and modeling languages is so critical on these steps. Formal tools are powerful in analyzing and proving steps. However, poorness of classical modeling language to model mobility requires proposition of new models. The objective of this paper is to provide a specific formalism Coloured Reconfigurable Nets and to show how this one seems to be adequate to model different kinds of code mobility. [ABSTRACT FROM AUTHOR]

The problem of low performance in data extraction from data warehouse can be critical in the Business Intelligence projects because of the major impact in the using the data from data warehouse: if a BI report is taking a lot of time to run or the data displayed are no longer available for taking critical decisions, the project can be compromised. In this paper we present an overview of an implementation of a Business Intelligence project in a national company, the problems we confronted with and the techniques that we applied to reduce the cost of execution for improving query performance in this decisional support system. We'll present several techniques that we applied to reduce queries' execution time and to improve the performance of the BI analyses and reports. [ABSTRACT FROM AUTHOR]

Address autoconfiguration provides convenience in implementing Mobile Ad hoc Network (MANET). The topology of the network can change randomly due to unpredictable mobility of nodes. This behavior results in certain issues like partitioning, merging, duplicate address detection, security / authenticity, related to IP address allocation to the mobile nodes. In this paper we have investigated these issues. By collecting the data from IEEE Xplore™ and Springer's "Lecture notes on Computer Science", recent trends have been studied and future research direction has been established. [ABSTRACT FROM AUTHOR]

In this paper we will present the utilization of neuro - fuzzy models as prediction of some events, more exactly, realizing of some applications viewing the time intervals prediction in which incidents can appear in an electrical energy distribution system. It was realized the duration analyzes between two incidents, with the aim to estimate the frequency of the incidences in the future. The time intervals prediction where may appear incidences was realized for electric energy distribution center Oradea, the used language being MATLAB. [ABSTRACT FROM AUTHOR]

The high costs in maintaining complex equipments make necessary to enhance maintenance support systems and industrial and research communities take a growing interest in the "prognostic process". However, this activity is still not well bounded and real prognostic systems are scarce. Thus, the general purpose of the paper is to explore the way of performing failure prognostics so that manager can act consequently. The prognostic process is discussed from different points of view (concept, metrics, approaches and tools) in order to point out the pragmatic challenges of this activity. Assuming that maintenance decisions follow from a prediction step, the stabilization of mid term prediction errors appears to be essential. For that purpose a neuro-fuzzy predictor based on the ANFIS model is proposed to perform prognostic. [ABSTRACT FROM AUTHOR]

In this paper we give an overview of intelligent systems. We discuss the notion itself, together with diverse features and constituents of it. We concentrate especially on computational intelligence and soft computing. [ABSTRACT FROM AUTHOR]

Despite its relative novelty, non-negative matrix factorization (NMF) method knew a huge interest from the scientific community, due to its simplicity and intuitive decom- position. Plenty of applications benefited from it, including image processing (face, medical, etc.), audio data processing or text mining and decomposition. This paper briefly describes the underlaying mathematical NMF theory along with some extensions. Several relevant applications from different scientific areas are also presented. NMF shortcomings and conclusions are considered. [ABSTRACT FROM AUTHOR]

The paper is presenting a new method for the management of the traffic flow on highways, based on the constant time to collision criterion, The criterion is applied for each car implied in traffic, and for the whole highway. Each car is provided with a constant time to collision cruise controller, which is maintaining optimal distance-gaps between cars, adapted to the speed and to the technical data of the cars. The traffic management center has the possibility to impose the same time to collision over the entire highway. This way the traffic is organizing itself, by distributing the cars such way that the collision risk is uniformly distributed. Simulations are illustrating how the cars are behaving when they are forming highway platoons and how the traffic flow may be controlled by imposing the time to collision. [ABSTRACT FROM AUTHOR]

The paper is discussing the necessity of providing controllers with incipient elements of world knowledge: general knowledge on system theory, specific knowledge on the processes, etc. This can be done by means of the fuzzy-interpolative systems, allied with simulation models and/or planners. A structure of world knowledge embedding planned controller is illustrating the idea. [ABSTRACT FROM AUTHOR]

The advance of Internet towards Web 2.0 conveys the potential it has in a wide range of scopes. The ongoing progress of the Web technology and its availability in teaching and learning, as well as a students' profile increasingly more used to managing an important amount of digital information, offers lecturers the opportunity and challenge of putting at students' disposal didactic tools making use of the Internet. Programming is one of the essential areas taught in university studies of Computer Science and other engineering degrees. At present, it is a knowledge acquired through tutorial classes and the practice with different tools for programming. This paper shows the acquired experience in the development and use of a simple compiler accessible through a Web page. In addition it presents a teaching proposal for its use in subjects that include programming languages lessons. OLC — On-Line Compiler — is an application which greatly lightens the student's workload at the initial stage of programming. During this initial period they will neither have to deal with the complexities of the installation and the configuration of these types of tools, nor with the understanding of multiple options which they present. Therefore students can concentrate on the comprehension of the programming structures and the programming language to be studied. [ABSTRACT FROM AUTHOR]

This paper presents, a design method for the template of the hole-filler used to improve the performance of the character recognition using Numerical integration algorithms. This is done by analyzing the features of the hole-filler template and the dynamic process of CNN and by using popular numerical algorithms to obtain a set of inequalities satisfying its output characteristics as well as the parameter range of the hole-filler template. Some simulation results and comparisons are also presented. [ABSTRACT FROM AUTHOR]

In this paper we develop a new method for robust predictive control for MISO systems represented on the Generalized Orthonormal Basis Functions. Unknown But Bounded Error approaches are used to update the uncertainty domain of the resultant model coefficients. This method uses a worst case strategy solved by a min-max optimization problem taking into account the constraints relative to parameter uncertainties and to measurement signals. [ABSTRACT FROM AUTHOR]

This paper proposes an adaptive control suitable for motion control of robot manipulators with structured and unstructured uncertainties. In order to design an adaptive robust controller, with the ability to compensate these uncertainties, we use neural networks (NN) that have the capability to approximate any nonlinear function over a compact space. In the proposed control scheme, we need not derive the linear formulation of robot dynamic equation and tune the parameters. To reduce the NNs complexity, we consider the properties of robot dynamics and the decomposition of the uncertainties terms. The proposed controller is robust against uncertainties and external disturbance. The validity of the control scheme is demonstrated by computer simulations on a two-link robot manipulator. [ABSTRACT FROM AUTHOR]

In this paper we present a new method of model reduction via the moments. The reduction technique is composed of two steps, the first one consists on using the Least Squares linear optimization algorithm to minimize a cost function representing the norm 2 of the error between different moments of the full order function and the reduced model. This solution represents an initialization of the second step algorithm which is based a Non Linear Programming minimizing a new criterion composed of the cost function of the first step and an equality constraint. Keywords: Moments, model reduction, optimization. [ABSTRACT FROM AUTHOR]

The widespread adoption of the current Grid technologies is still impeded by a number of problems, one of which is difficulty of developing and implementing Grid-enabled applications. In another dimension, symbolic computation, aiming to automatize the steps of mathematical problem solving, has become in the last years a basis for advanced applications in many areas of computer science. In this context we have recently analyzed and developed grid-extensions of known tools for symbolic computations. We further present in this paper a case study of a Web service-based Grid application for symbolic computations. [ABSTRACT FROM AUTHOR]