A coordenação motora de indivíduos com Transtorno do Desenvolvimento da Coordenação (TDC): o ritmo em foco

The aim of the present study was to examine tapping synchronization in children with and without Developmental Coordination Disorder (DCD). Participants were 27 children from which 13 diagnosed with motor difficulties composed the DCD group and 14 children with typical development (TD) the comparison group. The experimental task consisted of performing 25 continuous tapping on a surface of an electronic drum with the preferred hand. Participants were required to tap in synchrony with an auditory bip generated by customized software. Three interval values the tapping task were tested: 470 ms, 1000 ms, 1530 ms. The dependent variables were constant error (CE) and absolute error (AE) and standard deviation of absolute error (SD of AE). The ANOVA 2 x 3 x 3 (Group X Age x Interval) with repeated measures in the last factor for the CE indicated significant interaction among Group X Age X Interval. For the AE and SD of AE the ANOVAs yielded significant main effect of Interval and a significant interaction between Group X Interval. The results of the present study indicated that children with DCD were less accurate and more variable in the tapping synchronization than children with TD. Differences in performance between DCD and children with TD become larger as the interval of the auditory signal increases.

Análise cinemática e cinética do salto vertical de crianças com transtorno do desenvolvimento da coordenação (TDC)

Due to motor difficulties, children with developmental coordination disorder (DCD) doesn't feel motivated to do physical activities, sometimes resulting in a decline of their physical fitness, but it isn't really known for sure the reasons that induct children with DCD to low performances in physical fitness tests, because a lot of tasks that are part of the battery of tests of physical performance are complex in the coordination and/or motor control point of view, like the vertical jump for example. Therefore, the objective of this study was to investigate the factors that induct children with DCD to low performances in physical fitness tests, especially in the vertical jump task. For that, cinematic (duration of the eccentrical phase, duration of the concentrical phase, shift of the mass center and velocity of the mass center), kinetic (potency peak and force peak) and vertical jump performance analysis in two conditions (with the use of arms and without it) were realized in a force platform. The results indicated that children with DCD show a lower performance compared to their peers with typical development (TD), due to a lower potency production

Dicas de aprendizagem auxiliam as crianças com TDC na aquisição de uma habilidade motora complexa?

O objetivo do estudo foi analisar se as dicas de aprendizagem auxiliam crianças com TDC na aquisição de uma habilidade motora complexa. Dez crianças com TDC e 14 de desenvolvimento típico, de 9 a 11 anos, foram divididas nos grupos TDC com dicas (TDCD), TDC sem dicas (TDCS), desenvolvimento típico com dicas (GDTD) e desenvolvimento típico sem dicas (GDTS). As crianças participaram de sete aulas, durante três semanas, para a aprendizagem do rolamento peixe, com o uso das dicas "empurre o chão", "coloque a mão o mais longe possível" e "queixo no peito". Os resultados não foram estatisticamente significantes entre os grupos, o que evidencia que as dicas não apresentaram efeito positivo na aprendizagem do rolamento peixe.

TDP : a two-dimensional perturbation calculation code based on TDC, for IBM-7090, Deck B 516 /

Work performed at CANEL.

ClimateWell TDC with District Heat

The PolySMART demonstration system SP1b has been modeled in TRNSYS and calibrated against monitored data. The system is an example of distributed cooling with centralized CHP, where the driving heat is delivered via the district heating network. The system pre-cools the cooling water for the head office of Borlänge municipality, for which the main cooling is supplied by a 200 kW compression chiller. The SP1b system thus provides pre-cooling. It consists of ClimateWell TDC with nominal capacity of 10 kW together with a dry cooler for recooling and heat exchangers in the cooling and driving circuits. The cooling system is only operated from 06:00 to 17:00 during working days, and the cooling season is generally from mid May to mid September. The nominal operating conditions of the main chiller are 12/15°C. The main aims of this simulation study were to: reduce the electricity consumption, and if possible to improve the thermal COP and capacity at the same time; and to study how the system would perform with different boundary conditions such as climate and load. The calibration of the system model was made in three stages: estimation of parameters based on manufacturer data and dimensions of the system; calibration of each circuit (pipes and heat exchangers) separately using steady state point; and finally calibration of the complete model in terms of thermal and electrical energy as well as running times, for a five day time series of data with one minute average data values. All the performance figures were with 3% of the measured values apart from the running time for the driving circuit that was 4% different. However, the performance figures for this base case system for the complete cooling season of mid-May to midSeptember were significantly better than those for the monitoring data. This was attributed to long periods when the monitored system was not in operation and due to a control parameter that hindered cold delivery at certain times. 

Programa de Técnica de Dança Clássica : do pré-primário ao 2ª ciclo de escolaridade do Ensino Não Vocacional

Relatório Final de Projecto Pedagógico apresentado à Escola Superior de Dança, com vista à obtenção do grau de Mestre em Metodologias do Ensino da Dança

Projecto Ano Zero : desenvolvimento de competências técnico-artísticas em jovens adultos através da Técnica de Dança Clássica, com vista ao ingresso no curso de Licenciatura da Escola Superior de Dança

Relatório Final de Projecto Pedagógico apresentado à Escola Superior de Dança com vista à obtenção do Grau de Mestre em Metodologias do Ensino da Dança.

Virtual power players demand response programs management based on locational marginal prices

Power systems have been suffering huge changes mainly due to the substantial increase of distributed generation and to the operation in competitive environments. Virtual power players can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. Resource management gains an increasing relevance in this competitive context, while demand side active role provides managers with increased demand elasticity. This makes demand response use more interesting and flexible, giving rise to a wide range of new opportunities.This paper proposes a methodology for managing demand response programs in the scope of virtual power players. The proposed method is based on the calculation of locational marginal prices (LMP). The evaluation of the impact of using demand response specific programs on the LMP value supports the manager decision concerning demand response use. The proposed method has been computationally implemented and its application is illustrated in this paper using a 32 bus network with intensive use of distributed generation.

Data mining techniques contributions to support electrical vehicle demand response

The introduction of Electric Vehicles (EVs) together with the implementation of smart grids will raise new challenges to power system operators. This paper proposes a demand response program for electric vehicle users which provides the network operator with another useful resource that consists in reducing vehicles charging necessities. This demand response program enables vehicle users to get some profit by agreeing to reduce their travel necessities and minimum battery level requirements on a given period. To support network operator actions, the amount of demand response usage can be estimated using data mining techniques applied to a database containing a large set of operation scenarios. The paper includes a case study based on simulated operation scenarios that consider different operation conditions, e.g. available renewable generation, and considering a diversity of distributed resources and electric vehicles with vehicle-to-grid capacity and demand response capacity in a 33 bus distribution network.

ANN-Based LMP forecasting in a distribution network with large penetration of DG

In recent years, power systems have experienced many changes in their paradigm. The introduction of new players in the management of distributed generation leads to the decentralization of control and decision-making, so that each player is able to play in the market environment. In the new context, it will be very relevant that aggregator players allow midsize, small and micro players to act in a competitive environment. In order to achieve their objectives, virtual power players and single players are required to optimize their energy resource management process. To achieve this, it is essential to have financial resources capable of providing access to appropriate decision support tools. As small players have difficulties in having access to such tools, it is necessary that these players can benefit from alternative methodologies to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), and intended to support smaller players. In this case the present methodology uses a training set that is created using energy resource scheduling solutions obtained using a mixed-integer linear programming (MIP) approach as the reference optimization methodology. The trained network is used to obtain locational marginal prices in a distribution network. The main goal of the paper is to verify the accuracy of the ANN based approach. Moreover, the use of a single ANN is compared with the use of two or more ANN to forecast the locational marginal price.

Energy resource scheduling in a real distribution network managed by several virtual power players

Smart Grids (SGs) appeared as the new paradigm for power system management and operation, being designed to integrate large amounts of distributed energy resources. This new paradigm requires a more efficient Energy Resource Management (ERM) and, simultaneously, makes this a more complex problem, due to the intensive use of distributed energy resources (DER), such as distributed generation, active consumers with demand response contracts, and storage units. This paper presents a methodology to address the energy resource scheduling, considering an intensive use of distributed generation and demand response contracts. A case study of a 30 kV real distribution network, including a substation with 6 feeders and 937 buses, is used to demonstrate the effectiveness of the proposed methodology. This network is managed by six virtual power players (VPP) with capability to manage the DER and the distribution network.

Optimal methodology for renewable energy dispatching in islanded operation

The management of energy resources for islanded operation is of crucial importance for the successful use of renewable energy sources. A Virtual Power Producer (VPP) can optimally operate the resources taking into account the maintenance, operation and load control considering all the involved cost. This paper presents the methodology approach to formulate and solve the problem of determining the optimal resource allocation applied to a real case study in Budapest Tech’s. The problem is formulated as a mixed-integer linear programming model (MILP) and solved by a deterministic optimization technique CPLEX-based implemented in General Algebraic Modeling Systems (GAMS). The problem has also been solved by Evolutionary Particle Swarm Optimization (EPSO). The obtained results are presented and compared.

Optimal dispatch with reactive power compensation by Genetic Algorithm

This paper presents a Unit Commitment model with reactive power compensation that has been solved by Genetic Algorithm (GA) optimization techniques. The GA has been developed a computational tools programmed/coded in MATLAB. The main objective is to find the best generations scheduling whose active power losses are minimal and the reactive power to be compensated, subjected to the power system technical constraints. Those are: full AC power flow equations, active and reactive power generation constraints. All constraints that have been represented in the objective function are weighted with a penalty factors. The IEEE 14-bus system has been used as test case to demonstrate the effectiveness of the proposed algorithm. Results and conclusions are dully drawn.

A especificidade do trabalho de Pontas no Ensino Artístico Especializado

Relatório Final de Estágio apresentado à Escola Superior de Dança com vista à obtenção do Grau de Mestre em Ensino de Dança.

A motivação nas aulas de Dança Clássica: a música como estímulo promotor de motivação em alunas do 4º ano do Curso de Dança da Academia de Música de Vilar do Paraíso

Relatório Final de Estágio apresentado à Escola Superior de Dança, com vista à obtenção do grau de Mestre em Ensino de Dança.