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Efficiency improvement in multi-sensor wireless network based estimation algorithms for distributed parameter systems with application at the heat transfer
Constantin Volosencu and Daniel-Ioan Curiac
EURASIP Journal on Advances in Signal Processing , 2013, DOI: 10.1186/1687-6180-2013-4
Abstract: This paper gives a technical solution to improve the efficiency in multi-sensor wireless network based estimation for distributed parameter systems. A complex structure based on some estimation algorithms, with regression and autoregression, implemented using linear estimators, neural estimators and ANFIS estimators, is developed for this purpose. The three kinds of estimators are working with precision on different parts of the phenomenon characteristic. A comparative study of three methods - linear and nonlinear based on neural networks and adaptive neuro-fuzzy inference system - to implement these algorithms is made. The intelligent wireless sensor networks are taken in consideration as an efficient tool for measurement, data acquisition and communication. They are seen as a "distributed sensor", placed in the desired positions in the measuring field. The algorithms are based on regression using values from adjacent and also on auto-regression using past values from the same sensor. A modelling and simulation for a case study is presented. The quality of estimation is validated using a quadratic criterion. A practical implementation is made using virtual instrumentation. Applications of this complex estimation system are in fault detection and diagnosis of distributed parameter systems and discovery of malicious nodes in wireless sensor networks.
Chaotic Trajectory Design for Monitoring an Arbitrary Number of Specified Locations Using Points of Interest
Daniel-Ioan Curiac,Constantin Volosencu
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/940276
Abstract:
Secure Analog Data Transmission Based on R ssler Chaotic System Behavior
Daniel CURIAC,Ioan FILIP,Florin DR?GAN
Annals of Dunarea de Jos , 2000,
Abstract: This paper describes a new methodology for increasing the security of analog data transmission based on a mixture of the original analog signal with one of the state variables of R ssler chaotic system. The method is described emphasizing on the practical implementation aspects.
Chaotic Trajectory Design for Monitoring an Arbitrary Number of Specified Locations Using Points of Interest
Daniel-Ioan Curiac,Constantin Volosencu
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/940276
Abstract: The design of unpredictable trajectories for autonomous patrol robots when accomplishing surveillance missions represents, in many situations, a key desideratum. Solutions to this problem had often been associated with chaotic dynamics. While for area surveillance missions, relevant techniques to produce chaotic motion had been reported, in the case of monitoring a number of precise locations no viable solutions had been proposed. The present paper covers this research gap by offering a complex methodology that involves a mixture of two types of chaotic trajectory segments, based on Lorenz and Chen systems, in obtaining unpredictable trajectories when an arbitrary number of specified locations have to be monitored. The developed path-planning strategy produces trajectories that can cope efficiently with dynamical degradation of chaos or with obstacle avoidance issues. 1. Introduction Autonomous mobile robots are intelligent devices that can perform a variety of tasks in unknown and unstructured environments, without explicit human guidance. Their involvement is required anytime difficult, hazardous, or even mundane operations have to be accomplished. Application examples cover a wide range of fields, from domestic floor-cleaning [1] to hazardous waste disposal [2] or fire-fighting operations [3], and are based on a multidisciplinary research effort. One of the most challenging research topics is nevertheless the design of navigation strategies. Starting from an initial military need to develop patrolling trajectories unpredictable for external observers, various researchers employed chaotic dynamics as a means of accomplishment. Over the last two decades, the chaos theory has spread its applications in a wide variety of areas, from data encryption [4, 5] to random sequence generation [6, 7], biology [8], or mobile autonomous robots. Two basic properties of chaotic systems [9, 10]—sensibility to initial conditions and topological transitivity—are the source of unpredictable trajectories for mobile robots accomplishing area surveillance missions. The solutions found by researchers have the same pattern, which includes two interconnected modules: one for generating the points of the robot’s path using diverse chaotic maps and one that transforms the resulted chaotic point-to-point trajectory in a kinematic motion of the robot. The first papers that tackled the mentioned problem [11, 12] used the Arnold’s equations to obtain chaotic motion and was followed by other relevant researches, which imply the use of Taylor-Chirikov map [13, 14], Chua circuit [15,
A Comparative Study Above Two Self-Tuning Controllers With Aplication To The Control Of Synchronous Generator Excitation System
Ioan FILIP,Daniel CURIAC,Octavian PRO?TEAN,Iosif SZEIDERT
Annals of Dunarea de Jos , 2000,
Abstract: This paper presents two self-tuning control structures synthesized through the minimization of two criterion functions. It is described the computation methodology of the control laws, both being particularized for the case of the synchronous generator's excitation control. The parameters estimator is considered the recursive least square error (RLSE) algorithm. In order to validate the considered control structures, two comparative study cases by computer simulation are presented.
Poetry Teaching and Multimodality: Theory into Practice  [PDF]
Daniel Xerri
Creative Education (CE) , 2012, DOI: 10.4236/ce.2012.34077
Abstract: This article discusses the theoretical concepts underpinning a multimodal approach to poetry teaching and considers a number of ways in which this can be adopted in practice. It discusses what is entailed by the concept of multimodality and examines the claims made about the benefits of employing a multimodal approach. It reviews the literature on multimodality and examines how teachers may blend a variety of techniques and resources in order not just to engage their students with poetry but also to activate language learning. In particular, this article examines how by tapping students’ visual and digital literacy skills they are enabled to create video poems, podcasts, hypertexts and wikis, all of which represent new ways of using language and experiencing poetry. Through constant reference to the research carried out so far, this article seeks to show how by means of a multimodal approach poetry can act as a springboard for the development of students’ language proficiency and creative engagement.
Mathematical Derivation of Angular Momenta in Quantum Physics  [PDF]
Daniel Grucker
Journal of Modern Physics (JMP) , 2013, DOI: 10.4236/jmp.2013.47125
Abstract:

For a two-dimensional complex vector space, the spin matrices can be calculated directly from the angular momentum commutator definition. The 3 Pauli matrices are retrieved and 23 other triplet solutions are found. In the three-dimensional space, we show that no matrix fulfills the spin equations and preserves the norm of the vectors. By using a Clifford geometric algebra it is possible in the four-dimensional spacetime (STA) to retrieve the 24 different spins 1/2. In this framework, spins 1/2 are rotations characterized by multivectors composed of 3 vectors and 3 bivectors. Spins 1 can be defined as rotations characterized by 4 vectors, 6 bivectors and 4 trivectors which result in unit multivectors which preserve the norm. Let us note that this simple derivation retrieves the main spin properties of particle physics.

Contribution of Vertical Farms to Increase the Overall Energy Efficiency of Urban Agglomerations  [PDF]
Podmirseg Daniel
Journal of Power and Energy Engineering (JPEE) , 2014, DOI: 10.4236/jpee.2014.24013
Abstract: The 21st century keeps huge challenges for the system “city”. Shortage of resources and world population growth forces architects to think in spaces with increasingly more structural linkages. No era has shaped the system of a city like the oil age did. Its grown structures are dependent from cheap and easy to produce petroleum. The postmodern city, facing the end of cheap and abundant oil, is now dependent from this finite resource. To minimize the dependency from hydrocarbon energy it is necessary to increase urban density, to switch to renewable energy production and to create new spaces for multifunctional purposes. An essential problem of urban agglomeration, though, is the fact that distances between food production and consumption have increased drastically in the last fifty years. Cheap oil made it possible to implement a global food transportation
network and it also supported intensive monocultural food production. Today’s food no more gets bought from local markets, but from labels. Its value is dependent from the brand-image, represented from the tertiary sector. The end of cheap fossil fuels carries a huge potential for architects and urban planners—we can move away from representing abstract, non-spatial processes and identities but creating spaces for dynamic local interactions. A promising typus for this might be the Vertical Farm.
The Computational Theory of Intelligence: Information Entropy  [PDF]
Daniel Kovach
International Journal of Modern Nonlinear Theory and Application (IJMNTA) , 2014, DOI: 10.4236/ijmnta.2014.34020
Abstract: This paper presents an information theoretic approach to the concept of intelligence in the computational sense. We introduce a probabilistic framework from which computation alintelligence is shown to be an entropy minimizing process at the local level. Using this new scheme, we develop a simple data driven clustering example and discuss its applications.
The Computational Theory of Intelligence: Applications to Genetic Programming and Turing Machines  [PDF]
Daniel Kovach
International Journal of Modern Nonlinear Theory and Application (IJMNTA) , 2015, DOI: 10.4236/ijmnta.2015.41002
Abstract:

In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA’s) and Turing Machines (TM’s). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.

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