Sensory regulation of network components underlying ciliary locomotion in Hermissenda.

Ciliary locomotion in the nudibranch mollusk Hermissenda is modulated by the visual and graviceptive systems. Components of the neural network mediating ciliary locomotion have been identified including aggregates of polysensory interneurons that receive monosynaptic input from identified photoreceptors and efferent neurons that activate cilia. Illumination produces an inhibition of type I(i) (off-cell) spike activity, excitation of type I(e) (on-cell) spike activity, decreased spike activity in type III(i) inhibitory interneurons, and increased spike activity of ciliary efferent neurons. Here we show that pairs of type I(i) interneurons and pairs of type I(e) interneurons are electrically coupled. Neither electrical coupling or synaptic connections were observed between I(e) and I(i) interneurons. Coupling is effective in synchronizing dark-adapted spontaneous firing between pairs of I(e) and pairs of I(i) interneurons. Out-of-phase burst activity, occasionally observed in dark-adapted and light-adapted pairs of I(e) and I(i) interneurons, suggests that they receive synaptic input from a common presynaptic source or sources. Rhythmic activity is typically not a characteristic of dark-adapted, light-adapted, or light-evoked firing of type I interneurons. However, burst activity in I(e) and I(i) interneurons may be elicited by electrical stimulation of pedal nerves or generated at the offset of light. Our results indicate that type I interneurons can support the generation of both rhythmic activity and changes in tonic firing depending on sensory input. This suggests that the neural network supporting ciliary locomotion may be multifunctional. However, consistent with the nonmuscular and nonrhythmic characteristics of visually modulated ciliary locomotion, type I interneurons exhibit changes in tonic activity evoked by illumination.

Performance Management of a Next Generation Network

Today's communication networks consist of numerous interdependent network components. To manage these networks and to ensure their reliable and efficient operation to meet the increasing customer usability demands, extensive network management tools are required from the service provider. The goal of this study was to adapt the Next Generation Network (NGN) providing VoIP services within a performance oriented network management system. This study focuses only on NGN network and the project was implemented as an assignment of the Network Operations Center of Elisa Corporation. The theoretical part of this study introduces the network environment of the Elisa NGN platform: its components and used signalling protocols as well as other exploitable communication protocols. In addition, the Simple Network Management Protocol (SNMP) is closely examined since it is commonly used as the basis of IP (Internet Protocol) network management. Also some primary applications enabled by the NGN technology are introduced. The empirical part of this study contains a short overview of the implemented network performance management system and its properties. The most crucial monitored MIB modules, SNMP parameters and implemented performance measurements are described. The trap topology and the role of the traps for management of the NGN platform are considered and finally, the conclusion based on the several disquisitions is made supported with suggestions for future improvements.

Distribution network reconfiguration using an efficient evolutionary algorithm

Network reconfiguration is an important tool to optimize the operating conditions of a distribution system. This is accomplished modifying the network structure of distribution feeders by changing the open/close status of sectionalizing switches. This not only reduces the power losses, but also relieves the overloading of the network components. Network reconfiguration belongs to a complex family of problems because of their combinatorial nature and multiple constraints. This paper proposes a solution to this problem, using a specialized evolutionary algorithm, with a novel codification, and a brand new way of implement the genetic operators considering the problem characteristics. The algorithm is presented and tested in a real distribution system, showing excellent results and computational efficiency. © 2007 IEEE.

On the design and measurement of a novel non-orthogonal multi-beam network for triangular arrays of three radiating elements

An innovative dissipative multi-beam network for triangular arrays of three radiating elements is proposed. This novel network provides three orthogonal beams in θ0 elevation angle and a fourth one in the broadside steering direction. The network is composed of 90º hybrid couplers and fixed phase shifters. In this paper, a relation between network components, radiating element distance and beam steering directions will be shown. Application of the proposed dissipative network to the triangular cells of three radiating elements that integrate the intelligent antenna GEODA will be exhibited. This system works at 1.7 GHz, it has a 60º single radiating element beamwidth and a distance between array elements of 0.57 λ. Both beam patterns, theoretical and simulated, obtained with the network will be depicted. Moreover, the whole system, dissipative network built with GEODA cell array, has been measured in the anechoic chamber of the Radiation Group of Technical University of Madrid, demonstrating expected performance.

Study of a new 4×3 beam forming network for triangular arrays of three radiating elements

An innovative dissipative multi-beam network for triangular arrays of three radiating elements is proposed. This novel network provides three orthogonal beams in θ0 elevation angle and a fourth one in the broadside steering direction. The network is composed of 90º hybrid couplers and fixed phase shifters. In this paper, a relation between network components, radiating element distance and beam steering directions will be shown. Application of the proposed dissipative network to the triangular cells of three radiating elements that integrate the intelligent antenna GEODA will be exhibited. This system works at 1.7 GHz, it has a 60º single radiating element beamwidth and a distance between array elements of 0.57λ. Both beam patterns, theoretical and simulated, obtained with the network will be depicted. Moreover, the whole system, dissipative network built with GEODA cell array, has been measured in the anechoic chamber of the Radiation Group of Technical University of Madrid, demonstrating expected performance

Bidirectional transport between the trans-Golgi network and the endosomal system

The exchange of proteins and lipids between the trans-Golgi network (TGN) and the endosomal system requires multiple cellular machines, whose activities are coordinated in space and time to generate pleomorphic, tubulo-vesicular carriers that deliver their content to their target compartments. These machines and their associated protein networks are recruited and/or activated on specific membrane domains where they select proteins and lipids into carriers, contribute to deform/elongate and partition membrane domains using the mechanical forces generated by actin polymerization or movement along microtubules. The coordinated action of these protein networks contributes to regulate the dynamic state of multiple receptors recycling between the cell surface, endosomes and the TGN, to maintain cell homeostasis as exemplified by the biogenesis of lysosomes and related organelles, and to establish/maintain cell polarity. The dynamic assembly and disassembly of these protein networks mediating the exchange of membrane domains between the TGN and endosomes regulates cell-cell signalling and thus the development of multi-cellular organisms. Somatic mutations in single network components lead to changes in transport dynamics that may contribute to pathological modifications underlying several human diseases such as mental retardation.

Network construction and graph theoretical analysis of functional language networks in pediatric epilepsy

This dissertation introduces a new approach for assessing the effects of pediatric epilepsy on the language connectome. Two novel data-driven network construction approaches are presented. These methods rely on connecting different brain regions using either extent or intensity of language related activations as identified by independent component analysis of fMRI data. An auditory description decision task (ADDT) paradigm was used to activate the language network for 29 patients and 30 controls recruited from three major pediatric hospitals. Empirical evaluations illustrated that pediatric epilepsy can cause, or is associated with, a network efficiency reduction. Patients showed a propensity to inefficiently employ the whole brain network to perform the ADDT language task; on the contrary, controls seemed to efficiently use smaller segregated network components to achieve the same task. To explain the causes of the decreased efficiency, graph theoretical analysis was carried out. The analysis revealed no substantial global network feature differences between the patient and control groups. It also showed that for both subject groups the language network exhibited small-world characteristics; however, the patient's extent of activation network showed a tendency towards more random networks. It was also shown that the intensity of activation network displayed ipsilateral hub reorganization on the local level. The left hemispheric hubs displayed greater centrality values for patients, whereas the right hemispheric hubs displayed greater centrality values for controls. This hub hemispheric disparity was not correlated with a right atypical language laterality found in six patients. Finally it was shown that a multi-level unsupervised clustering scheme based on self-organizing maps, a type of artificial neural network, and k-means was able to fairly and blindly separate the subjects into their respective patient or control groups. The clustering was initiated using the local nodal centrality measurements only. Compared to the extent of activation network, the intensity of activation network clustering demonstrated better precision. This outcome supports the assertion that the local centrality differences presented by the intensity of activation network can be associated with focal epilepsy.^

Network Construction and Graph Theoretical Analysis of Functional Language Networks in Pediatric Epilepsy

This dissertation introduces a new approach for assessing the effects of pediatric epilepsy on the language connectome. Two novel data-driven network construction approaches are presented. These methods rely on connecting different brain regions using either extent or intensity of language related activations as identified by independent component analysis of fMRI data. An auditory description decision task (ADDT) paradigm was used to activate the language network for 29 patients and 30 controls recruited from three major pediatric hospitals. Empirical evaluations illustrated that pediatric epilepsy can cause, or is associated with, a network efficiency reduction. Patients showed a propensity to inefficiently employ the whole brain network to perform the ADDT language task; on the contrary, controls seemed to efficiently use smaller segregated network components to achieve the same task. To explain the causes of the decreased efficiency, graph theoretical analysis was carried out. The analysis revealed no substantial global network feature differences between the patient and control groups. It also showed that for both subject groups the language network exhibited small-world characteristics; however, the patient’s extent of activation network showed a tendency towards more random networks. It was also shown that the intensity of activation network displayed ipsilateral hub reorganization on the local level. The left hemispheric hubs displayed greater centrality values for patients, whereas the right hemispheric hubs displayed greater centrality values for controls. This hub hemispheric disparity was not correlated with a right atypical language laterality found in six patients. Finally it was shown that a multi-level unsupervised clustering scheme based on self-organizing maps, a type of artificial neural network, and k-means was able to fairly and blindly separate the subjects into their respective patient or control groups. The clustering was initiated using the local nodal centrality measurements only. Compared to the extent of activation network, the intensity of activation network clustering demonstrated better precision. This outcome supports the assertion that the local centrality differences presented by the intensity of activation network can be associated with focal epilepsy.

Sobrevivência das redes de transporte da nova geração

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia de Electrónica e Telecomunicações

Increase of the Delivered Power Probability in Distribution Networks using Pareto DC Programming

A methodology to increase the probability of delivering power to any load point through the identification of new investments in distribution network components is proposed in this paper. The method minimizes the investment cost as well as the cost of energy not supplied in the network. A DC optimization model based on mixed integer non-linear programming is developed considering the Pareto front technique in order to identify the adequate investments in distribution networks components which allow increasing the probability of delivering power for any customer in the distribution system at the minimum possible cost for the system operator, while minimizing the energy not supplied cost. Thus, a multi-objective problem is formulated. To illustrate the application of the proposed methodology, the paper includes a case study which considers a 180 bus distribution network

Dynamical modeling and analysis of large cellular regulatory networks.

The dynamical analysis of large biological regulatory networks requires the development of scalable methods for mathematical modeling. Following the approach initially introduced by Thomas, we formalize the interactions between the components of a network in terms of discrete variables, functions, and parameters. Model simulations result in directed graphs, called state transition graphs. We are particularly interested in reachability properties and asymptotic behaviors, which correspond to terminal strongly connected components (or "attractors") in the state transition graph. A well-known problem is the exponential increase of the size of state transition graphs with the number of network components, in particular when using the biologically realistic asynchronous updating assumption. To address this problem, we have developed several complementary methods enabling the analysis of the behavior of large and complex logical models: (i) the definition of transition priority classes to simplify the dynamics; (ii) a model reduction method preserving essential dynamical properties, (iii) a novel algorithm to compact state transition graphs and directly generate compressed representations, emphasizing relevant transient and asymptotic dynamical properties. The power of an approach combining these different methods is demonstrated by applying them to a recent multilevel logical model for the network controlling CD4+ T helper cell response to antigen presentation and to a dozen cytokines. This model accounts for the differentiation of canonical Th1 and Th2 lymphocytes, as well as of inflammatory Th17 and regulatory T cells, along with many hybrid subtypes. All these methods have been implemented into the software GINsim, which enables the definition, the analysis, and the simulation of logical regulatory graphs.

Proaktiivinen verkonvalvonta ja reaaliaikainen dokumentaatio

Nykyaikaisen teollisuusympäristön toiminta nojaa pitkälti tietotekniikkaan,erityisesti tietoliikenneverkolla on merkittävä rooli. Jos verkkokatkon vuoksi informaatio ei kulje tehtaan eri yksiköiden välillä, saattaa koko tehdas pysähtyä. Tästä puolestaan voi seurata merkittäviä tuotannollisia menetyksiä. Tietoliikenneverkon häiriöttömän toiminnan varmistamisessa valvonta onkeskeisessä asemassa. Valvontatyökaluilla nähdään muun muassa verkon eri osa-alueiden kuormitus ja saadaan hälytys, jos jokin raja-arvo ylitetään tai jokin komponentti lakkaa toimimasta. Toinen tärkeä seikka on tietoliikenneverkon dokumentaatio, josta nähdään verkon rakenne, komponenttien fyysinen sijainti ja miten neon kytketty toisiinsa. Yhdistämällä valvonnan, dokumentaation ja osaavan henkilökunnan, päästään proaktiiviiseen verkonvalvontaan, jossa vikoja voidaan välttääja ehkäistä ennakkoon tehdyillä toimenpiteillä. Tärkeydestään huolimatta tietoliikenneverkon dokumentaatio on usein jätetty kokonaan tekemättä tai ainakaan se ei ole ajan tasalla. Tähän on monia syitä, joista eräs on kunnollisen dokumentaatio-ohjelmiston puuttuminen. Siksi tässä työssä kehitetään reaaliaikainen dokumentaatiojärjestelmä, jonka avulla tietoliikenneverkon dokumentointi voidaan tehdä, ja jonka ansiosta se myös pysyy ajan tasalla tietojen automaattisen päivityksen ansiosta.

Applicability of Power-Line Communications to Data Transfer of On-line Condition Monitoring of Electrical Drives

The research of power-line communications has been concentrated on home automation, broadband indoor communications and broadband data transfer in a low voltage distribution network between home andtransformer station. There has not been carried out much research work that is focused on the high frequency characteristics of industrial low voltage distribution networks. The industrial low voltage distribution network may be utilised as a communication channel to data transfer required by the on-line condition monitoring of electric motors. The advantage of using power-line data transfer is that it does not require the installing of new cables. In the first part of this work, the characteristics of industrial low voltage distribution network components and the pilot distribution network are measured and modelled with respect topower-line communications frequencies up to 30 MHz. The distributed inductances, capacitances and attenuation of MCMK type low voltage power cables are measured in the frequency band 100 kHz - 30 MHz and an attenuation formula for the cables is formed based on the measurements. The input impedances of electric motors (15-250 kW) are measured using several signal couplings and measurement based input impedance model for electric motor with a slotted stator is formed. The model is designed for the frequency band 10 kHz - 30 MHz. Next, the effect of DC (direct current) voltage link inverter on power line data transfer is briefly analysed. Finally, a pilot distribution network is formed and signal attenuation in communication channels in the pilot environment is measured. The results are compared with the simulations that are carried out utilising the developed models and measured parameters for cables and motors. In the second part of this work, a narrowband power-line data transfer system is developed for the data transfer ofon-line condition monitoring of electric motors. It is developed using standardintegrated circuits. The system is tested in the pilot environment and the applicability of the system for the data transfer required by the on-line condition monitoring of electric motors is analysed.

Sähkönjakeluverkon komponenttien pitoajat

Suomessa sähkönjakeluverkkoyhtiöt toimivat verkkovastuualueillaan yksinoikeudella. Verkkovastuualuiden ominaispiirteet voivat olla hyvin erilaiset. Energiamarkkinavirasto valvoo sähkömarkkinalainsäädännön noudattamista jakeluverkkotoiminnassa. Jakeluverkonhaltijat on velvoitettu Energiamarkkinaviraston valvontamallin kautta määrittämään tiettyjen rajoitusten mukaisesti verkkokomponenteillensa sopivimmat teknistaloudelliset pitoajat. Nämä pitoajat vaikuttavat varsinkin verkkoyhtiön tuottomahdollisuuksiin ja asiakkaiden siirtohintoihin. Lisäksi huomioon on otettava jaettavan sähkön laatu, verkon käyttövarmuus sekä vaikutukset ympäristöön ja turvallisuuteen. Pitoaikojen matemaattinen mallintaminen on usein monimutkaista. Teknistaloudellinen pitoaika valitaankin monesti kokemuksen ja harkinnan perusteella. Tärkeimmät reunaehdot jakeluverkkokomponenttien teknistaloudellisten pitoaikojen valinnalle muodostavat verkkovastuualueen sähkönkulutuksen kasvun sekä infrastruktuurin muutoksen nopeudet. Hitaan muutoksen alueilla verkkokomponenttien teknistaloudelliset pitoajat lähenevät teknisiä pitoaikoja, joihin vaikuttavat voimakkaasti verkkovastuualueen maantieteelliset ja ilmastolliset ominaispiirteet. Yhtiöittäin vaihtelevat verkon rakennus- ja ylläpitomenetelmät tulee myös huomioida. Tässä diplomityössä keskitytään pääosin sähkönjakeluverkon komponenttien teknistaloudelliseen pitoaikaan verkon ja verkkovastuualueen ominaispiirteiden kautta. Aluksi määritellään jakeluverkon pitoaika usealla eri tavalla, sekä selvitetään pitoajan merkitystä nykytilanteessa. Lisäksi työn alkuosassa esitellään Energiamarkkinaviraston vuoden 2005 alusta käyttöönotettu jakeluverkkotoiminnan hinnoittelun kohtuullisuuden valvontamalli ja käydään läpi teknistaloudellisen pitoajan merkitys siinä. Sen jälkeen tarkastellaan jakeluverkkokomponenttien ja niiden osien tekniseen pitoaikaan vaikuttavia tekijöitä. Erityisesti puupylväisiin ja niihin liittyviin ajankohtaisiin asioihin kiinnitetään huomiota, koska puupylväät määräävät monesti koko ilmajohtorakenteen uusimisajankohdan. Lisäksi suolakyllästeiselle puupylväälle esitetään yleinen rappeutumismalli ja jakelumuuntajan rappeutumistapahtumaa tutkitaan. Lopuksi tarkastellaan Graninge Kainuu Oy:tä jakeluverkonhaltijana sekä määritetään sen verkkovastuualueelle ominaisia komponenttien teknisiä ja teknistaloudellisia pitoaikoja haastattelujen, tuoreimpien lähteiden, tutkimustulosten, vertailun ja harkinnan avulla.

Sähkönjakeluverkon jälleenhankinta-arvon määrittäminen

Diplomityön tavoitteena oli selvittää jakeluverkkoyhtiön verkon jälleenhankinta-arvon määrittämiseen tarvittavat lähtötiedot sähkönjakeluverkon rakentamiskustannuksia selvittäneellä kyselyllä. Työssä on käsitelty sähkönjakeluverkon jälleenhankinta-arvon, nykyarvon ja nykykäyttöarvon määritysmenetelmiä. Lisäksi on esitelty laeissa, asetuksissa ja suosituksissa jakeluverkkotoiminnalle asetettuja vaatimuksia. Tulokset on esitelty komponenteittain ja tutkimalla kuinka paljon kahden kuvitteellisen sähkönjakeluverkon jälleenhankinta-arvo muuttuu. Palkkakustannusten nousu on lisännyt kustannuksia, mutta vastaavasti verkonrakentamisen tehostuminen sekä tässä laskentamallissa esitetyt kustannuksien määrittelyt (esimerkkinä muuntajat) ovat alentaneet yleiskustannuksia, joten kokonaisuutena verkon rakentamisen kustannukset ovat joidenkin komponenttien osalta alentuneet tässä työssä käytettyihin KA 2:95, KA 2:96 ja KA 2:97 kustannustietoihin verrattuna.