Studies in Informatics and Control Journal Impact Factor & Information

Journal description

Current impact factor: 0.91

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 0.913
2013 Impact Factor 0.605
2012 Impact Factor 0.554
2011 Impact Factor 0.578
2010 Impact Factor 0.671

Impact factor over time

Impact factor

Additional details

5-year impact 0.63
Cited half-life 3.10
Immediacy index 0.21
Eigenfactor 0.00
Article influence 0.10
ISSN 1220-1766

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, a novel binarization approach based on neutrosophic sets and sauvola’s approach is presented. This approach is used for historical Arabic manuscript images which have problems with types of noise. The input RGB image is changed into the NS domain, which is shown using three subsets, namely, the percentage of indeterminacy in a subset, the percentage of falsity in a subset and the percentage of truth in a subset. The entropy in NS is used for evaluating the indeterminacy with the most important operation ”λ mean” operation in order to minimize indeterminacy which can be used to reduce noise. Finally, the manuscript is binarized using an adaptive thresholding technique. The main advantage of the proposed approach is that it preserves weak connections and provides smooth and continuous strokes. The performance of the proposed approach is evaluated both objectively and subjectively against standard databases and manually collected data base. The proposed method gives high results compared with other famous binarization approaches.
    Studies in Informatics and Control 09/2015; 24(3):271-282.
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    ABSTRACT: This paper proposes the design of a new adaptive power control scheme for full bridge series-parallel resonant inverter with AVC control strategy. This scheme is used to control the heating process by adjusting the output power of the inverter irrespective of load and line variations. Two independent control loops are used in this technique: power control loop and frequency control loop (PLL). In the first, an adaptive PID controller with parallel structure is used to force the output power to track the desired trajectory. The adaptive PI controller of the PLL varies the DC input of the VCO in order to generate the required output frequency to maintain ZVS operating during the heating process. The desired performances of the closed loop control are given by two independent reference models. The design of the adaptive mechanism is based on MIT rule and the small signal model of the inverter around the operating point. Compared with other works, the adaptive mechanism redesigns the parameter gains of the PID and the PI controllers in order to avoid the disturbance. Simulation results confirm the effectiveness of the proposed system.
    Studies in Informatics and Control 06/2015; 24(2):181-190.
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    ABSTRACT: For considering a general non-affine in control nonlinear systems, this present paper introduces a new Adaptive Nonlinear Optimal Recursive Control (ANORC) used for trajectory tracking. This referred ANORC controller which is developed on a 1.2 norm prescribed to minimize a trajectory tracking error has advantages of adaptive turning and optimal features. Furthermore, under the feedback of the systems output, this ANORC which adopts a control structure in recursive scheme and employs no knowledge of internal dynamics ensures the realization of the systems output trajectory tracking. Then to demonstrate the performances and effectiveness of this proposed ANORC controller, three different academic numerical examples (in the form of Single Input Single Output (SISO), Multi-Input Single Output (MISO) and Multi-Input Multi-Output (MIMO)) are implemented.
    Studies in Informatics and Control 03/2015; 21(1):5-11.
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    ABSTRACT: The evolution of Web technologies has made e-Learning a popular common way to teach and learn both in school and non-school settings. This paper provides an education-oriented approach for building personalized e-Learning environments that focuses on putting the learners’ needs in the centre of the development process. The proposed agent-based adaptive architecture extends Moodle platform in order to support instructional decisions and adaptive behaviour. The paper describes the characteristics, functions, and interactions of the agents which take part in each module of the adaptive architecture, as well as an intelligent agent for instructional decisions making. The aim of this agent is to collect information generated by the rest of agents and to provide the best personalised support for the final users, tutors and students, taking into account their attitudes towards the learning environment.
    Studies in Informatics and Control 03/2015; Vol 24(Issue 1):pp. 13-22.
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    ABSTRACT: It is undeniable that the energy consumption will continue to grow and the negative impact of using fossil fuels to produce it will favor the use of alternative energies. There has been an intensive research to develop clean energies from some decades now. As a result electric energy can now be generated using photovoltaic cells, wind power, fuel cells among other clean sources. Each source has advantages and disadvantages, hence, it is generally accepted that a combination of them is the best. Power electronics specialists have started to develop schemes to allow sources of different characteristics to cooperate to power a load. The device that achieve this goal has been called "energy router" by some researchers. hi this work, it is shown that common multi-input power converter can function as energy routers if they are properly controlled. A control algorithm is proposed for these converters.
    Studies in Informatics and Control 03/2015; 21(1):23-32.
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    ABSTRACT: The current study proposes a control-aware Quality of Service adaptation co-design method for networked control systems. The novel networked control structure is based on a remotely placed Quality of Service adapter that continuously changes the network parameters using the Next Steps in Signaling protocol suite for end-to-end Quality of Service. The control system's design is developed gradually and the system's stability is assessed by considering the overall system as a switched linear one. Finally, the results are validated on a numerical example.
    Studies in Informatics and Control 03/2015; 21(1):33-42.
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    ABSTRACT: This paper outlines the architecture prototyping and development of ubiquitous computing for recommender systems in case of risk, with mobile and geographical capabilities based on collaborative and knowledge-based filtering approaches. Heterogeneous types of strategies developed towards minimizing risks occurrence effects are applied so as to efficiently allocate the efforts for reliable software development. A novel technique to improve risk assessment and validation at the time of event announcement involving risk type, risk severity level, users trust level, and users location is described and implemented within a dedicated mobile GIS recommender system for risk-awareness. The main purpose of research is to enhance the process of consolidation of the development cycle of GIS applications for early community risk-awareness.
    Studies in Informatics and Control 03/2015; 24(1):91-100.
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    ABSTRACT: The paper presents a good practice in choosing optimal software - hardware infrastructure couple engaged with acquiring and processing of data related to computer security anthropic incidents. The authors work in the Multi-Attribute Decision Making paradigm, mono-decision maker and mono-state of nature sub-paradigm. An assessment model is built. The model's objects are the software hardware couples. Concerning the first couple's component, i.e. the software infrastructure, the selection process is done starting with Data Base Management Systems' complex taxonomy. Concerning hardware infrastructure, the choice of elements is based on considered availabilities. The model's attributes are couples' characteristics evaluated by an expert which gives grades according to his / her expertise. Based on this model, the TOPSIS method computes the merit of each couple. The couple with the greatest merit is considered as optimal.
    Studies in Informatics and Control 03/2015; 21(1):51-60.
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    ABSTRACT: The handling operations performed in ports require the use of equipment operating in a dynamic environment. Some tasks may not be fully carried out due to equipment failure or power breakdown that may occur particularly with the automated guided vehicles (AGV). The unavailability of equipment such as AGV has important consequences in terms of respecting the deadlines of different operations that a port should perform, such as the loading and unloading operations of ships. This situation can aggravate if there are also traffic problems in the port with some inaccessible network nodes. A part of the equipment will be blocked or the operations will take longer than expected if they don`t take the optimal path to connect the loading/unloading points and storage areas. These reasons confirm the usefulness of establishing a robust system able to resolve the problem of assigning containers in the static and dynamic environments. In a previous work, we developed a system for assigning containers in a static environment. In order to improve this method, we devote this paper to the study of the robustness of our system to the dynamic environment of the port. The numerical tests included in this paper show an adequate performance of our method for this particular dynamic environment.
    Studies in Informatics and Control 03/2015; 24(1):43-50.
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    ABSTRACT: The core idea of the research described in this paper is that the processes of self-organization commonly called „swarm intelligence” can be triggered by creating – through the collective effort of the whole population of agents – a „global cognitive map” derived from the interaction between the agents and the environment, and shared by all agents. We focus on multi-agent systems with human agents, and explore the technological means to automate the process of creating and sharing such cognitive maps, with the aim to induce controllable self-organization of the behaviour of the agents.
    Studies in Informatics and Control 01/2015; 24(1):111-118.
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    ABSTRACT: In this paper, we consider a train traffic management problem. Our aim is to find an optimal schedule for a train traffic network where time duration uncertainties are considered. This problem was intensively studied with mixed integer linear models where trains moving duration are deterministic. In this paper, a new formulation of the problem as a classical one with scenario-based stochastic programming taking expected values as objective functions is presented. Then, new criterion is proposed to quantify scheduling robustness in the face of uncertainty. Besides, a novel control policy is elaborated to find quickly, a feasible train schedule when disruption or unexpected event occurs during scheduling execution.
    Studies in Informatics and Control 12/2014; 23(4):313-322.
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    ABSTRACT: Biochemical processes at wastewater treatment plant are complex, nonlinear, time varying and multivariable. Moreover, relationships between processes are very strong. One of the most important issues is exerting proper control over dissolved oxygen levels during nitrification phase. This parameter has a very large impact on activity of microorganisms in activated sludge and on quality of pollution removal processes. Oxygen is supplied by aeration system which consists of many nonlinear elements (blowers, pipes, diffusers). In this paper, the sequencing batch reactor is applied and modelled. Also, the aeration system is modelled. Those models are validated based on real data sets. The adaptive control system with anti-windup filter is proposed and designed for tracking the reference trajectory of dissolved oxygen. Furthermore, the reference trajectory of dissolved oxygen is generated by the supervisory controller using NH4 measurements. Simulation results of control system are calculated for a case study plant located in Swarzewo, Northern Poland. www:
    Studies in Informatics and Control 11/2014; 23(4):323-332.
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    ABSTRACT: In this paper it is presented an integration of algorithms that permits maps construction and navigation of mobile robots. Simultaneous Localization and Mapping (SLAM) algorithm is used based on FastSLAM method. Navigation system is based on Vector Field Histogram algorithm to avoid obstacle and a spiral way trajectory method. To three different complex simulation maps are used to evaluate the system.
    Studies in Informatics and Control 09/2014; Volume 23(Issue 2):189--196.
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    ABSTRACT: The Information and Communication Technologies and digital economy are the key factors in the recovery of the EU economy and especially the Romanian economy. Based on its strengths in technology and knowledge, Europe should exploit the full potential of the digital economy. The digital economy and information technologies offer great opportunities for SMEs in the manufacturing and service sectors. Therefore, an ambitious Digital Agenda, providing concrete steps to complete the online single market will be a key to sustainable economic recovery and social development of Europe. The competitive advantage of each country will play an important role in sustaining its future prosperity. Information technologies offer new ways of enhancing sustainable development not only in urban areas but also, to an even greater extent, in rural areas throughout the world. The understanding of what makes them a success or failure, and how much impact they may have in contributing to the wider rural economy is still relatively poorly developed. What is clear, from a wider European perspective, is that these new forms of e-agriculture with ecological entrepreneurialism are growing at a relatively fast rate This paper presents multi-criteria AHP method, (Analytic Hierarchy Process) to assess main technological factors that affect the introduction of new technologies in rural areas.
    Studies in Informatics and Control 06/2014; 23(2):215-222.
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    ABSTRACT: Applications of continuous production line technique is of vast use today when there is a high demand for mass production. One of the main disadvantages consists in high receptiveness to malfunctions since a single fault can stop or affect the quality of the entire production line. The paper presents an improved solution of (re)balancing a parallel control structure and maintaining the ratio between two adjustment quantities. Applicability is proved on a control structure of the ratio using two groups of tanks, a situation that has been encountered in the chemical industry, food industry, pharmaceutical industry etc. Meanwhile the proposed structure may represent an interesting solution that could be implemented within supervisory level.
    Studies in Informatics and Control 03/2014; 23(1):53-64.
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    ABSTRACT: The choice of the parameters has strong influence on the quality of the results obtained by the application of algorithms. Most researchers tend to select the values of their parameters in long and tedious trial and error approaches. Although, some methods have been developed for automatic parameter selection, they have not been widely used in the computer vision area. This paper presents the design of a general purpose framework for automatic parameter selection through a case study: a human limb tracking algorithm developed for applications that will be used in rehabilitation scenarios with low cost equipment. The tracking algorithm first detects the limb by using a skin segmentation approach, then the position of an idealized limb model is updated using Simulated Annealing. The framework for automatic parameter selection treats each parameter from the tracking algorithm according to its domain and uses a modified version of Harmony Search Optimization algorithm that includes a dominance criterion. The obtained results are presented as well and show that selected parameters behave well for the case of study.
    Studies in Informatics and Control 01/2014; 23(1):87-96.