International Journal of Computers, Communications & Control (IJCCC) (INT J COMPUT COMMUN)

Journal description

International Journal of Computers, Communications & Control (IJCCC) is published from 2006 and has 4 issues per year, edited by CCC Publications, powered by Agora University Editing House, Oradea, Romania. We offer free online access to the full content of the journal. The printed version of the journal should be ordered, by subscription, and will be delivered by regular mail. IJCCC is directed to the international communities of scientific researchers from the universities, research units and industry. IJCCC publishes original and recent scientific contributions in the following fields: Computing & Computational Mathematics; Information Technology & Communications; Computer–based Control. To differentiate from other similar journals, the editorial policy of IJCCC encourages especially the publishing of scientific papers that focus on the convergence of the 3 "C" (Computing, Communication, Control). IJCCC also publishes: papers dedicated to the works and life of some remarkable personalities; reviews of some recent important published books. Also, IJCCC will publish as supplementary issues the proceedings of some international conferences or symposiums on Computers, Communications and Control, scientific events that have reviewers and program committee.

Current impact factor: 0.75

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 0.746
2013 Impact Factor 0.694
2012 Impact Factor 0.441
2011 Impact Factor 0.438
2010 Impact Factor 0.65
2009 Impact Factor 0.373

Impact factor over time

Impact factor

Additional details

5-year impact 0.74
Cited half-life 4.20
Immediacy index 0.18
Eigenfactor 0.00
Article influence 0.18
Website International Journal of Computers, Communications & Control (IJCCC) website
ISSN 1841-9836

Publications in this journal

  • International Journal of Computers, Communications & Control (IJCCC) 06/2016; 11(3).
  • [Show abstract] [Hide abstract]
    ABSTRACT: At present, network control systems employ a common approximation to solve the connectivity issue due to time delays coupled with external factors . However, this approach tends to be complex in terms of time delays, and the inherent local phase is missing. Therefore, it is necessary to study the behavior of the delays as well as the integration of the differential equations of these bounded delays. The related time delays need to be known a priori, but from a dynamic real-time perspective in order to understand the dynamic phase behavior. The objective of this paper is to demonstrate the inclusion of the data frequency transmission and time delays that are bounded as parameters of the dynamic response from a real-time scheduling approximation, considering the local phase situation. The related control law is designed considering a fuzzy logic approximation for nonlinear time delays coupling. The main advantage is the integration of this behavior through extended state space representation. This keeps certain linear and bounded behavior leading to a stable situation during an events presentation, based on an accurate data transmission rate. An expected result is that the basics of the local phase missing as a result of the local bounded time delays from the lack of tide synchronization conforms to the modeling approximation.
    International Journal of Computers, Communications & Control (IJCCC) 02/2016; 11(1). DOI:10.15837/ijccc.2016.1.2158
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents a newly developed fuzzy linear physical programming (FLPP) model that allows the decision maker to introduce his/her preferences for multiple criteria decision making in a fuzzy environment. The major contribution of this research is to generalize the current models by accommodating an environment that is conducive to fuzzy problem solving. An example is used to evaluate, compare and discuss the results of the proposed model.
    International Journal of Computers, Communications & Control (IJCCC) 01/2016;
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper proposes a novel fuzzy linear physical programming (FLPP) model that allows the decision maker to introduce his/her preferences for multiple criteria decision making. The major contribution of this research is to improve similar fuzzy optimization models by providing an absolute fuzzy problem solving environment. This is achieved by converting the objective function to its fuzzy equivalent. The model is then solved in a complete fuzzy environment. A literature example is used to evaluate, compare and discuss the results of the proposed model.
    International Journal of Computers, Communications & Control (IJCCC) 01/2016; 2(1). DOI:10.15837/ijccc.2016.1.2083
  • [Show abstract] [Hide abstract]
    ABSTRACT: Physiological or biological stress is an organism’s response to a stressor such as an environmental condition or a stimulus. The identification of physiological stress while performing the activities of daily living is an important field of health research in preventive medicine. Activities initiate a dynamic physiological response that can be used as an indicator of the overall health status. This is especially relevant to high risk groups; the assessment of the physical state of patients with cardiovascular diseases in daily activities is still very difficult. This paper presents a context-aware telemonitoring platform, IPM-mHealth, that receives vital parameters from multiple sensors for online, real-time analysis. IPM-mHealth provides the technical basis for effectively evaluating patients’ physiological conditions, whether inpatient or at home, through the relevance between physical function and daily activities. The two core modules in the platform include: 1) online activity recognition algorithms based on 3-axis acceleration sensors and 2) a knowledge-based, conditional-reasoning decision module which uses context information to improve the accuracy of determining the occurrence of a potentially dangerous abnormal heart rate. Finally, we present relevant experiments to collect cardiac information and upper-body acceleration data from the human subjects. The test results show that this platform has enormous potential for use in long-term health observation, and can help us define an optimal patient activity profile through the automatic activity analysis.
    International Journal of Computers, Communications & Control (IJCCC) 11/2015; 11(1):142. DOI:10.15837/ijccc.2016.1.1333
  • [Show abstract] [Hide abstract]
    ABSTRACT: Computing and filtering sorted subsets are frequently required in statistical data manipulation and control applications. The main objective is to extract subsets from large data sets in accordance with some criteria, for example, with the maximum and/or the minimum values in the entire set or within the predefined constraints. The paper suggests a new computation method enabling the indicated above problem to be solved in all programmable systems-on-chip from the Xilinx Zynq family that combine a dual-core Cortex-A9 processing unit and programmable logic linked by high-performance interfaces. The method involves highly parallel sorting networks and run-time filtering. The computations are done in communicating software, running in the processing unit, and hardware, implemented in the programmable logic. Practical applications of the proposed technique are also shown. The results of implementation and experiments clearly demonstrate significant speed-up of the developed software/hardware system comparing to alternative software implementations.
    International Journal of Computers, Communications & Control (IJCCC) 11/2015; 11(1):126. DOI:10.15837/ijccc.2016.1.1442
  • [Show abstract] [Hide abstract]
    ABSTRACT: Ethernet for Manufacture Automation Control (EtherMAC) is a new kind of real-time Ethernet used in motion control systems. It adopts a line topology with a standard industrial computer based master node and field-programmable-gate-array based slave nodes. EtherMAC employs one slave node to manage cycle communication and clock synchronization, so the real-time demand for its master node can be greatly reduced and dedicated hardware is no longer mandatory. Its distributed clock compensation mechanism can get synchronization accuracy in nanosecond order. The advantages of industrial computer and field programmable-gate-array are combined with EtherMAC, so that high control performance can be achieved.
    International Journal of Computers, Communications & Control (IJCCC) 11/2015; 11(1):39. DOI:10.15837/ijccc.2016.1.617
  • [Show abstract] [Hide abstract]
    ABSTRACT: The present paper proposes a fractal-like approach to the parametric flow problem, derived from the rules and recursion of generative linguistics. In the same manner in which any sentence can be analysed in terms of "theme" of the sentence (that which is spoken about in the sentence) and "rheme" of the sentence (that which is said about the theme in the sentence), in the proposed parametric preflow-push algorithm, a "partitioning push" (a non-cancelling push of flow in the parametric residual network) might leave the node unbalanced for only a subinterval of the range of parameter values. This will lead to separating the problem for the two disjoints subintervals, which allows the algorithm to continue after the same rules, independently, on each of the partitioned subintervals. The algorithm runs as the template-like structure of a dialogue act which reveals a design where information about the items (part-of-speech) is a two sections vector with one segment for each of the used part of speech categories. The article also proposes a possible application of the algorithm in assessing legal information and in semantic evaluation of legislation.
    International Journal of Computers, Communications & Control (IJCCC) 11/2015; 11(1):113. DOI:10.15837/ijccc.2016.1.1440
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents an inverse dynamic model estimation based on an artificial neural network of a complete new parallel robot manipulator prototype 6- PGK with six degrees of freedom, built at Petru Maior University of Tirgu-Mures. The model estimation of the parallel robot manipulator is performed with a feedforward artificial neural network. In the control engineering domain there are control structures that need the direct or inverse model of the process for ensuring the process control at the imposed performances. Usually, the determination of the direct/inverse mathematical model is a difficult or impossible task to be achieved. In these cases different non-parametric or parametric, off-line or on-line identification methods are used. A solution that may support the on-line parametric methods is represented by the feedforward artificial neural networks. By implementing feedforward artificial neural networks as a nonlinear autoregressive model with exogenous inputs, the authors investigate the possibility of choosing the optimum parameters that characterize the neural network so that it approximates as better as possible the model of the 6-PGK prototype robot. Finally an innovative algorithm is developed for obtaining the optimal configuration parameters set of the feedforward artificial neural network. The proposed algorithm helps in setting the optimal parameters of the neural network that offer high opportunities to provide satisfactory identification of the robot model. Experimental results obtained by a structure derived from the proposed solution demonstrate a good approximation related to the studied system, which is characterized by nonlinearities and high complexity.
    International Journal of Computers, Communications & Control (IJCCC) 11/2015; 11(1):90. DOI:10.15837/ijccc.2016.1.1962
  • [Show abstract] [Hide abstract]
    ABSTRACT: Three are the points we briefly discuss here: using membrane computing tools for efficient computing/optimization, the possibilities of using “general" membrane computing (P systems using multisets of symbol objects processed by biochemical-like evolution rules) as a framework for modeling economic processes, and the numerical P systems, a class of computing devices explicitly defined with a motivation related to economics. The discussion is rather informal, only pointing out research directions and providing bibliographical information.
    International Journal of Computers, Communications & Control (IJCCC) 11/2015; 11(1):105. DOI:10.15837/ijccc.2016.1.2160
  • [Show abstract] [Hide abstract]
    ABSTRACT: The performance of networked control systems is affected strictly by time delay. Most of the literature in the area handle the problem from a stability perspective. However, stability optimized algorithms alone are not sufficient to reduce synchronization problems caused by time delay between the action and reaction in geographically distant places, and the effect and performance of other system components should also be taken into account. In teleoperation applications the reference is often provided by a human, known as the operator, and due to the nature of the human system, references provided by the human operator are of a much lower bandwidth when compared to common control reference inputs. This paper focuses on the operator, and proposes an approach to predict the manipulator’s motion (created by the operator) ahead of time with an aim to reduce the time delay between the master and slave manipulator trajectories. To highlight the improvement offered by the developed approach, hereby called Predictive Input Delay Compensator (PIDC), we compare the performance with the only other study in the literature that handles this problem using the Taylor Series approach. The performance of these two approaches is evaluated experimentally for the forward (control) path on a PUMA robot, manipulated by a human operator and it has been demonstrated that the efficient latency in the forward path is decreased by 100ms, on average, reducing the forward latency from 350ms to 250ms.
    International Journal of Computers, Communications & Control (IJCCC) 11/2015; 11(1):67. DOI:10.15837/ijccc.2016.1.1577
  • [Show abstract] [Hide abstract]
    ABSTRACT: In many practical situations, the relation between the experts’ degrees of confidence in different related statements is well described by Fuzzy Cognitive Maps (FCM). This empirical success is somewhat puzzling, since from the mathematical viewpoint, each FCM relation corresponds to a simplified one-neuron neural network, and it is well known that to adequately describe relations, we need multiple neurons. In this paper, we show that the empirical success of FCM can be explained if we take into account that human’s subjective opinions follow Miller’s seven plus minus two law.
    International Journal of Computers, Communications & Control (IJCCC) 10/2015; 10(6):65. DOI:10.15837/ijccc.2015.6.2073
  • [Show abstract] [Hide abstract]
    ABSTRACT: Voice and speech communication is a major topic covering simultaneously ’communication’, ’control’ (because it often involves control in the coding algorithms), and ’computing’ - from speech analysis and recognition, to speech analytics and to speech coding over communication channels. While fuzzy logic was specifically con- ceived to deal with language and reasoning, it has yet a limited use in the referred field. We discuss some of the main current applications from the perspective of half a century since fuzzy logic inception.
    International Journal of Computers, Communications & Control (IJCCC) 10/2015; 10(6):105. DOI:10.15837/ijccc.2015.6.2077
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper proposes the unified treatment of an anti-windup technique for fuzzy and sliding mode controllers. A back-calculation and tracking anti-windup scheme is proposed in order to prevent the zero error integrator wind-up in the structures of state feedback fuzzy controllers and sliding mode controllers. The state feedback sliding mode controllers are based on the state feedback-based computation of the switching variable. An example that copes with the position control of an electro-hydraulic servo-system is presented. The conclusions are pointed out on the basis of digital simulation results for the state feedback fuzzy controller.
    International Journal of Computers, Communications & Control (IJCCC) 10/2015; 10(6):83. DOI:10.15837/ijccc.2015.6.2075
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents a new method to estimate the unknown values in incomplete interval-valued fuzzy preference relations (IVFPRs). The method is based on the min-consistency and is used to develop the algorithm for group decision making (GDM) dealing with incomplete IVFPRs.
    International Journal of Computers, Communications & Control (IJCCC) 10/2015; 10(6):29. DOI:10.15837/ijccc.2015.6.2070