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  Subjects -> COMPUTER SCIENCE (Total: 2007 journals)
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    - COMPUTER SCIENCE (1169 journals)
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COMPUTER SCIENCE (1169 journals)                  1 2 3 4 5 6 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 14)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 24)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 9)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 13)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 16)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 6)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 12)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 4)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 15)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 6)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 1)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 21)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 8)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 9)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 25)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Ad Hoc Networks     Hybrid Journal   (Followers: 11)
Adaptive Behavior     Hybrid Journal   (Followers: 11)
Advanced Engineering Materials     Hybrid Journal   (Followers: 26)
Advanced Science Letters     Full-text available via subscription   (Followers: 9)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 8)
Advances in Artificial Intelligence     Open Access   (Followers: 16)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 15)
Advances in Computer Science : an International Journal     Open Access   (Followers: 15)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Advances in Engineering Software     Hybrid Journal   (Followers: 26)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 11)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 26)
Advances in Human-Computer Interaction     Open Access   (Followers: 21)
Advances in Materials Sciences     Open Access   (Followers: 16)
Advances in Operations Research     Open Access   (Followers: 11)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7)
Advances in Porous Media     Full-text available via subscription   (Followers: 4)
Advances in Remote Sensing     Open Access   (Followers: 40)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access   (Followers: 4)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 8)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
Air, Soil & Water Research     Open Access   (Followers: 9)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 6)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 11)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 4)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 5)
American Journal of Sensor Technology     Open Access   (Followers: 4)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 11)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 8)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annual Reviews in Control     Hybrid Journal   (Followers: 6)
Anuario Americanista Europeo     Open Access  
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applied and Computational Harmonic Analysis     Full-text available via subscription   (Followers: 1)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 13)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Clinical Informatics     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 12)
Applied Computer Systems     Open Access   (Followers: 2)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 33)
Applied Medical Informatics     Open Access   (Followers: 10)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 15)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5)
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 132)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 7)
Asia Pacific Journal on Computational Engineering     Open Access  
Asia-Pacific Journal of Information Technology and Multimedia     Open Access   (Followers: 1)
Asian Journal of Computer Science and Information Technology     Open Access  
Asian Journal of Control     Hybrid Journal  
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
Australian Educational Computing     Open Access   (Followers: 1)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 4)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 11)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 9)
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Biodiversity Information Science and Standards     Open Access  
Bioinformatics     Hybrid Journal   (Followers: 301)
Biomedical Engineering     Hybrid Journal   (Followers: 15)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 14)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 18)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 34)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 45)
British Journal of Educational Technology     Hybrid Journal   (Followers: 131)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 2)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14)
Capturing Intelligence     Full-text available via subscription  
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal   (Followers: 1)
Cell Communication and Signaling     Open Access   (Followers: 2)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access   (Followers: 1)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 14)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 7)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
CIN Computers Informatics Nursing     Full-text available via subscription   (Followers: 11)
Circuits and Systems     Open Access   (Followers: 15)
Clean Air Journal     Full-text available via subscription   (Followers: 2)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 4)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 14)
Communication Methods and Measures     Hybrid Journal   (Followers: 12)
Communication Theory     Hybrid Journal   (Followers: 20)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Algebra     Hybrid Journal   (Followers: 3)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 3)
Communications of the ACM     Full-text available via subscription   (Followers: 55)
Communications of the Association for Information Systems     Open Access   (Followers: 18)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3)
Complex & Intelligent Systems     Open Access   (Followers: 1)
Complex Adaptive Systems Modeling     Open Access  
Complex Analysis and Operator Theory     Hybrid Journal   (Followers: 2)
Complexity     Hybrid Journal   (Followers: 6)
Complexus     Full-text available via subscription  
Composite Materials Series     Full-text available via subscription   (Followers: 9)
Computación y Sistemas     Open Access  
Computation     Open Access  
Computational and Applied Mathematics     Hybrid Journal   (Followers: 2)
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 2)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 2)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 9)
Computational Astrophysics and Cosmology     Open Access   (Followers: 1)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 11)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access  
Computational Ecology and Software     Open Access   (Followers: 9)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 15)
Computational Linguistics     Open Access   (Followers: 22)
Computational Management Science     Hybrid Journal  
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 4)
Computational Methods and Function Theory     Hybrid Journal  
Computational Molecular Bioscience     Open Access   (Followers: 2)
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computational Particle Mechanics     Hybrid Journal   (Followers: 1)
Computational Research     Open Access   (Followers: 1)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computational Science and Techniques     Open Access  
Computational Statistics     Hybrid Journal   (Followers: 14)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 30)
Computer     Full-text available via subscription   (Followers: 89)
Computer Aided Surgery     Hybrid Journal   (Followers: 5)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 9)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 22)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 12)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 2)
Computer Music Journal     Hybrid Journal   (Followers: 18)
Computer Physics Communications     Hybrid Journal   (Followers: 6)
Computer Science - Research and Development     Hybrid Journal   (Followers: 8)
Computer Science and Engineering     Open Access   (Followers: 19)
Computer Science and Information Technology     Open Access   (Followers: 13)
Computer Science Education     Hybrid Journal   (Followers: 14)
Computer Science Journal     Open Access   (Followers: 21)

        1 2 3 4 5 6 | Last

Journal Cover Automatic Control and Computer Sciences
  [SJR: 0.23]   [H-I: 7]   [4 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1558-108X - ISSN (Online) 0146-4116
   Published by Springer-Verlag Homepage  [2355 journals]
  • Exact gradient controllability with strategic actuators
    • Authors: I. El Harraki; A. Khazari; A. Boutoulout
      Pages: 377 - 390
      Abstract: Abstract In this paper, we develop results related to the gradient controllability and actuators. The concept of gradient strategic actuators is characterized and applied to the gradient controllability of systems described by a hyperbolic equation. This emphasizes the spatial structure and the location of the actuator in order to achieve the gradient controllability. We combine the Hilbert uniqueness method and the characterization of the strategic actuators to solve the gradient controllability problem for the wave equation. The developed results are illustrated by many examples of specific shapes and systems.
      PubDate: 2017-11-01
      DOI: 10.3103/s0146411617060037
      Issue No: Vol. 51, No. 6 (2017)
  • Diagnostic Neuro-Fuzzy System and Its Learning in Medical Data Mining
           Tasks in Conditions of Uncertainty about Numbers of Attributes and
    • Authors: Iryna Pliss; Iryna Perova
      Pages: 391 - 398
      Abstract: Abstract Architecture and learning method for evolving diagnostic neuro-fuzzy-system for Medical Data Mining tasks in situation of uncertainty about quantities of attributes and diagnoses are proposed. Diagnostic neuro-fuzzy-system was approbated on data set, which present erosive ulcerous disease of the gastrointestinal tract and shown high quality of classification in condition of different quantity of input and output data.
      PubDate: 2017-11-01
      DOI: 10.3103/s0146411617060062
      Issue No: Vol. 51, No. 6 (2017)
  • Pressure regulation inside a hypersonic wind tunnel using H-infinity
           optimization control
    • Authors: S. H. Rajani; Bindu M. Krishna; Usha Nair
      Pages: 399 - 409
      Abstract: Abstract Hypersonic wind tunnel is a ground-based facility used to study the aerodynamic properties of space vehicles during re-entry. This paper aims at designing an H-infinity controller with krill herd optimization algorithm to regulate pressure inside the settling chamber of a hypersonic wind tunnel. The krill herd algorithm is a novel stochastic algorithm for improving the performance characteristics by optimizing the H-infinity controller parameters. The proposed algorithm minimizes the H-infinity norms by tuning the controller weighing function parameters. The dynamic characteristics of the settling chamber pressure with H-infinity and H-infinity control based on krill herd algorithm is studied by numerical simulations. The proposed algorithm is highly efficient and robust in controlling the settling chamber pressure in terms of performance parameters.
      PubDate: 2017-11-01
      DOI: 10.3103/s0146411617060074
      Issue No: Vol. 51, No. 6 (2017)
  • Response to CBRNE and human-caused accidents by using land and air robots
    • Authors: A. Baums
      Pages: 410 - 416
      Abstract: Abstract In the EU, the basis of the civil protection response to CBRNE, earth/disaster and humancaused accidents is the Emergency Response Coordination Center. For a fast response, two different architectures of centers of the regional system (CRS), with land and area robots, are presented and investigated. In the case of a static center, the robots are remotely controlled from the center by an operator. In this realization, the distance to the area to be investigated is restricted by the distance of possible remote control by the operator. The second one is a dynamic CBRN protection system, where the majority of CRS functions are organized on a car separate from the CRS building. By the car', the distance from the CRS to the accident place can usually be reached at the car motion speed. This is the main advantage of the dynamic system.
      PubDate: 2017-11-01
      DOI: 10.3103/s0146411617060025
      Issue No: Vol. 51, No. 6 (2017)
  • Implementation and operation aspects of a system for detecting abnormally
           level of user activity
    • Authors: P. A. Osipov; L. Ya. Aleksejeva; A. N. Borisov; Yu. A. Chizhov; T. P. Zmanovska; V. M. Zabiniako
      Pages: 417 - 425
      Abstract: Abstract The present paper discusses various aspects of embedding the intrusion detection system based on the personal adaptive behavior profile into the existing complex information system. The paper proposes the classification of types of access to the target information infrastructure in order to assess the feasibility of the established system integration. The criteria for evaluating the effectiveness of the implementation of the established system are also described. A method for calculating the dynamic threshold level of abnormality is proposed in the present research. The paper also considers a technique of adjusting the sensitivity of the system in case of abnormal user behavior. The paper describes the approach used for system scaling in case of an increase in the intensity of the incoming requests.
      PubDate: 2017-11-01
      DOI: 10.3103/s0146411617060050
      Issue No: Vol. 51, No. 6 (2017)
  • Algorithms for planning Resource-Intensive computing tasks in a hybrid
           supercomputer environment for simulating the characteristics of a quantum
           rotation sensor and performing engineering calculations
    • Authors: A. S. Ilyashenko; Al. A. Lukashin; V. S. Zaborovsky; An. A. Lukashin
      Pages: 426 - 434
      Abstract: Abstract The article considers the problem of planning computing tasks in hybrid supercomputer systems using the example of the Polytechnic Supercomputer Center. We have explored the classes of tasks using the distribution of calculations planning and shown their specific character when using hybrid supercomputer resources. With this in mind, we have developed the algorithms to optimize the use of resources of supercomputer systems. Furthermore, we have proposed an algorithm predicting task execution time taking into account the characteristics of the computation node and task parameters. Finally, after conducting the research we have compared the developed algorithms.
      PubDate: 2017-11-01
      DOI: 10.3103/s0146411617060049
      Issue No: Vol. 51, No. 6 (2017)
  • Optimal control of rail transportation associated automatic train
           operation based on fuzzy control algorithm and PID algorithm
    • Authors: Hongtian Shen; Jianwei Yan
      Pages: 435 - 441
      Abstract: Abstract Rail transportation develops rapidly in recent years, which has made great contribution to the solution of urban traffic jam and promoted the coordinated development of urban economy and environment. Automatic train operation (ATO) system can transform artificial train work into automatic train work. Therefore, the optimal control of ATO system is of great significance to the improvement of operation efficiency of rail transportation and the reduction of labor strength of train drivers. The regulation of train speed is the key of ATO system operation, and PID control algorithm is a common control algorithm. Train automatic drive can be realized through repeatedly debugging parameters through a large amount of experiments using the traditional PID control algorithm; however, it wastes time and energy and is complicated to operate. This study made optimal control on rail transportation associated ATO using fuzzy control algorithm in combination with PID control algorithm to make up for deficiencies, with the intention of achieving the control on the train start and speed, direction adjustment and accurate control of train parking and cruising.
      PubDate: 2017-11-01
      DOI: 10.3103/s0146411617060086
      Issue No: Vol. 51, No. 6 (2017)
  • An anisotropic-tolerant and error control localization algorithm in
           wireless sensor network
    • Authors: Jiandong Yao; Xiaoyong Yan; Rulin Dou
      Pages: 442 - 452
      Abstract: Abstract Multi-hop localization schemes are low cost, easy to implement and suitable for large-scale application. However, in practical applications, the performances of multi-hop localizations are often affected by anisotropic networks, such as irregular deployment of nodes and uneven distribution of nodes. The anisotropic problem makes the application of multi-hop localization limited, so we propose a new multi-hop approach for anisotropic network. This scheme constructs the mapping relation between hop-counts and physical distance and this algorithm views the process of location estimation as a regression prediction. In addition, we employ the geometric precision factor (Geometric Dilution Precision) to select the anchors, and effectively avoid the problem of the error amplification of the geometric relations of the anchors. Theoretical analysis and simulation results show that our proposed method can adapt to different environments, and the method has the advantages of small overhead, high precision without setting complex parameters.
      PubDate: 2017-11-01
      DOI: 10.3103/s0146411617060104
      Issue No: Vol. 51, No. 6 (2017)
  • The effect of presynaptic inhibition in switching neurostructures
    • Authors: A. N. Sychev
      Pages: 453 - 462
      Abstract: Abstract A presynaptic inhibition function is described based on the language of Boolean algebra. A Fibonacci neuron is adduced as the equivalent of the sequential composition of such functions. Effective implementations of logic circuits are proposed. Affine transformations of necessary arguments are determined by Walsh spectral representations. The complexity of switching neural networks with dual neurons is analyzed.
      PubDate: 2017-11-01
      DOI: 10.3103/s0146411617060098
      Issue No: Vol. 51, No. 6 (2017)
  • The complexity of Boolean functions in the Reed–Muller polynomials
    • Authors: V. P. Suprun
      Pages: 285 - 293
      Abstract: Abstract This paper considers the problem of transforametion of Boolean functions into canonical polarized polynomials (Reed–Muller polynomials). Two Shannon functions are introduced to estimate the complexity of Boolean functions in the polynomials class under consideration. We propose three Boolean functions of n variables whose complexity (in terms of the number of terms) coincides with value. We investigate the properties of functions and propose their schematic realization on elements AND, XOR, and NAND.
      PubDate: 2017-09-01
      DOI: 10.3103/s0146411617050078
      Issue No: Vol. 51, No. 5 (2017)
  • Distance localization of the moving object by applying the
           Karhunen–Loeve transform to ultra-wideband impulse signals
    • Authors: V. Aristov
      Pages: 294 - 300
      Abstract: Abstract The possibility of applying the first principal component of the Karhunen–Loeve transform to localize reflections from a moving object on the time axis by sondaging with an ultra-wideband locator is studied.
      PubDate: 2017-09-01
      DOI: 10.3103/s0146411617050029
      Issue No: Vol. 51, No. 5 (2017)
  • Robust H 2 -PSS design based on LQG control optimized by genetic
    • Authors: Djamel Eddine Ghouraf; Abdellatif Naceri
      Pages: 301 - 310
      Abstract: Abstract This paper proposes a genetic algorithms (GA) optimization technique applied to power system stabilizer (PSS) for adapt a robust H2 control based on linear quadratic controller (LQ) and Kalman Filter applied on automatic excitation control of powerful synchronous generators, to improve stability and robustness of power system type single machine connected to an infinite bus system (SMIB). Adaptation technique proposed of the robust H2 control with the various electrical and mechanical parametric variations based on the optimization of the PSS parameters. The genetic algorithms is a search technique based on the mechanisms of natural selection of a genetic and evolution. This optimization technique is more used in the field of control for solve optimal choice problem of regulators parameters. The integration of GA to robust H2 control with robustness test (electrical and mechanical parameters variations of the synchronous machine) show considerable improvements in dynamics performances, robustness stability and good adaptation of the robust H2-PSS parameters under uncertain constraints. This present study was performed using our realized Graphical User Interface (GUI) developed under MATLAB.
      PubDate: 2017-09-01
      DOI: 10.3103/s0146411617050030
      Issue No: Vol. 51, No. 5 (2017)
  • Research on adaptive sliding synchronization of Rikitake chaotic system
           with single unknown control coefficient
    • Authors: Youan Zhang; Heng Li; Jingmao Liu; Ruwei Zeng; Junwei Lei
      Pages: 311 - 320
      Abstract: Abstract The control of second order system with uncertain parameters and single unknown control coefficient was investigated to solve the synchronization problem of Rikitake chaotic with reduced number of active inputs. In addition, a kind of adaptive strategy was hybrid with sliding mode method, where the adaptive strategy was used to cope with uncertain parameters produced in the process of sliding mode controller design. At last, detailed numerical simulations with both second order systems and synchronous chaotic system were done to testify the rightness of the proposed method and also multi-time random simulations were done to testify the robustness of the controller. In addition, the main conclusion is that the sliding mode control has very good consistency since the strategy formation is almost the same as the controller for system with known control coefficient, and high gain is necessary for system with single uncertain control coefficient.
      PubDate: 2017-09-01
      DOI: 10.3103/s0146411617050091
      Issue No: Vol. 51, No. 5 (2017)
  • Prediction of soil adsorption coefficient based on deep recursive neural
    • Authors: Xinyu Shi; Shengwei Tian; Long Yu; Li Li; Shuangyin Gao
      Pages: 321 - 330
      Abstract: Abstract It is expensive and time consuming to measure soil adsorption coefficient (logKoc) of compounds using traditional methods, and some existing models show lower accuracies. To solve these problems, a deep learning (DL) method based on undirected graph recursive neural network (UG-RNN) is proposed in this paper. Firstly, the structures of molecules are represented by directed acyclic graphs (DAG) using RNN model; after that when a number of such neural networks are bundled together, they form a multi-level and weight sharing deep neural network to extract the features of molecules; Third, logKoc values of compounds have been predicted using back-propagation neural network. The experimental results show that the UG-RNN model achieves a better prediction effect than some shallow models. After five-fold cross validation, the root mean square error (RMSE) value is 0.46, the average absolute error (AAE) value is 0.35, and the square correlation coefficient (R 2) value is 0.86.
      PubDate: 2017-09-01
      DOI: 10.3103/s0146411617050066
      Issue No: Vol. 51, No. 5 (2017)
  • Constructing unbiased prediction limits on future outcomes under
           parametric uncertainty of underlying models via pivotal quantity averaging
    • Authors: N. A. Nechval; G. Berzins; S. Balina; I. Steinbuka; K. N. Nechval
      Pages: 331 - 336
      Abstract: Abstract This paper presents a new simple, efficient and useful technique for constructing lower and upper unbiased prediction limits on outcomes in future samples under parametric uncertainty of underlying models. For instance, consider a situation where such limits are required. A customer has placed an order for a product which has an underlying time-to-failure distribution. The terms of his purchase call for k monthly shipments. From each shipment the customer will select a random sample of q units and accept the shipment only if the smallest time to failure for this sample exceeds a specified lower limit. The manufacturer wishes to use the results of an experimental sample of n units to calculate this limit so that the probability is γ that all k shipments will be accepted. It is assumed that the n experimental units and the kq future units are random samples from the same population. In this paper, attention is restricted to invariant families of distributions. The pivotal quantity averaging approach used here emphasizes pivotal quantities relevant for obtaining ancillary statistics and is applicable whenever the statistical problem is invariant under a group of transformations that acts transitively on the parameter space. It does not require the construction of any tables and is applicable whether the past data are complete or Type II censored. The proposed pivotal quantity averaging approach is conceptually simple and easy to use. For illustration, a left-truncated Weibull, two-parameter exponential, and Pareto distribution are considered. A practical numerical example is given.
      PubDate: 2017-09-01
      DOI: 10.3103/s0146411617050054
      Issue No: Vol. 51, No. 5 (2017)
  • Discrete sliding mode control to stabilize running of a biped robot with
           compliant kneed legs
    • Authors: O. Heydarnia; B. Dadashzadeh; A. Allahverdizadeh; M. R. Sayyed Noorani
      Pages: 347 - 356
      Abstract: Abstract This paper investigates performance of two event-based controllers applied to an underactuated biped robot to stabilize its running gait in presence of uncertainties. Mechanism of the biped robot includes four links leg, one point mass at the hip, point feet, and three motors parallel to rotational springs. So it has one degree of underactuation during stance phase and three degrees of underactuation during flight phase. A discrete sliding mode controller (DSMC) in comparison with a discrete linear-quadratic regulator (DLQR) is examined in order to stabilize the fixed point of the corresponding Poincare map. Using numerical simulations, it is concluded that DSMC has a better performance regarding basin of attraction and convergence speed compared to DLQR, especially in presence of disturbances.
      PubDate: 2017-09-01
      DOI: 10.3103/s0146411617050042
      Issue No: Vol. 51, No. 5 (2017)
  • Reducing update data time for exchange via MODBUS TCP protocol by
           controlling a frame length
    • Authors: Alexander Titaev
      Pages: 357 - 365
      Abstract: Abstract Despite the fact that the MODBUS protocol has been widely used in industrial automation systems, its capabilities are limited by the published standard. In this article improvement of the exchange between the industrial equipment and HMI-system, supporting the MODBUS implementation for Ethernet networks, are discussed. The experimentally measured values of the average request-response cycle time, jitter and time intervals consumed by each of the exchange participants are presented. The method of reducing the update data time using the procedure for grouping the required slave memory cells into requested via MODBUS blocks of optimal length has been proposed. The experimental results of this MODBUS protocol improvement and some comparisons have been presented and discussed.
      PubDate: 2017-09-01
      DOI: 10.3103/s014641161705008x
      Issue No: Vol. 51, No. 5 (2017)
  • Improved ant colony optimization algorithm based on RNA computing
    • Authors: Liyi Zhang; Chao Xiao; Teng Fei
      Pages: 366 - 375
      Abstract: Abstract RNA computing is a new intelligent optimization algorithm, which combines computer science and molecular biology. Aiming at the weakness of slow convergence rate and poor global search ability in the basic ant colony optimization algorithm due to the unreasonable selection of parameters, this paper utilizes the combination of RNA computing and basic ant colony optimization algorithm to overcome the defects. An improved ant colony optimization algorithm based on RNA computing is proposed. In the iterative process of ant colony optimization algorithm, transformation operation, recombination operation and permutation operation in RNA computing are introduced to optimize the initial parameters including importance factor of pheromone trail α, importance factor of heuristic function β and pheromone evaporation rate ρ to improve the convergence efficiency and global search ability. The performance of the algorithm is evaluated on five instances of the library of traveling salesman problems (TSPLIB) and six typical test functions. The experimental results demonstrate that the proposed RNA-ant colony optimization algorithm is superior than basic ant colony optimization algorithm in optimization ability, reliability, convergence efficiency, stability and robustness.
      PubDate: 2017-09-01
      DOI: 10.3103/s0146411617050108
      Issue No: Vol. 51, No. 5 (2017)
  • A novel method of medical image enhancement based on wavelet decomposition
    • Authors: Qinli Zhang; Shuting Shen; Xiaoyun Su; Qi Guo
      Pages: 263 - 269
      Abstract: Abstract The efficiency of image enhancement algorithms depends on the quality and processing speed of image enhancement. There are many algorithms to implement image enhancement using wavelet theory. These algorithms have one thing in common: they all capture image details by decomposing low frequency sub-images. In fact, a lot of details in high-frequency sub-images are also found. Enlightened by the above-mentioned facts, a novel medical image enhancement method based on wavelet decomposition is proposed by adding details from the high-frequency sub-images and decomposing the image specially with ant-symmetric biorthogonal wavelet instead of some traditional wavelets. It not only improves the image enhancement, but also overcomes the shortcomings of large computation with faster computational speed and satisfies the real-time requirement in edge detection. Simulation experiments of mammographic images are implemented by Matlab with several different methods, the results show that the proposed method is superior to some popular methods, such as histogram equalization and wavelet nonlinear enhancement.
      PubDate: 2017-07-01
      DOI: 10.3103/s0146411617040113
      Issue No: Vol. 51, No. 4 (2017)
  • Parametric identification for perturbed paths of navigation satellites
           based on inter-satellite measurements
    • Authors: S. V. Sokolov; S. M. Kovalev; A. V. Sukhanov
      Pages: 270 - 278
      Abstract: Abstract A solution for the problem of stochastic identification of the parameters of perturbed orthodromic orbits of navigation satellites is given. The identification is proposed directly on the board of a satellite based on inter-satellite radio and laser measurements. It is shown that the solution accuracy of the navigation task is increased in comparison with telemetric measurements. The approach is shown to be invariant for other aerospace moving objects because of its invariant parameters. Also, an explaining example is given for comprehensive description of the proposed approach.
      PubDate: 2017-07-01
      DOI: 10.3103/s0146411617040083
      Issue No: Vol. 51, No. 4 (2017)
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