Kinematic motor behaviour of robots can be encoded using dynamical systems. These dynamical systems are learnt from human demonstrations to generalize human like motions. The size of the demonstration space involving ...
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Kinematic motor behaviour of robots can be encoded using dynamical systems. These dynamical systems are learnt from human demonstrations to generalize human like motions. The size of the demonstration space involving a robot usually being large, it is not possible to provide all the demonstrations for robot's learning. Hence, it requires an efficient learning architecture that is able to generalize for unseen contexts. In the proposed algorithm, we model the movements, shown in the human demonstrations, as non-linear multivariate dynamics using mixture of Gaussians. Generally, in non-linear multivariate modelling approach pertaining to programming by demonstration, requires structured demonstrations i.e. it always requires to have a fixed and unique equilibrium point during the learning phase. The proposed method can relax these constraints and has the following advantage over the existing work: first, it would be possible to learn from any demonstration which is not constrained to have always the same equilibrium point; second, it would be possible to capture the variations in movement patterns depending upon the position of the equilibrium point. The proposed algorithm has been implemented using Barrett WAM and experimental results have been compared with existing approach.
The large scale integration of stochastic renewable energy introduces significant challenges for power system operators and disputes the efficiency of the current market design. Recent research embeds the uncertain na...
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The large scale integration of stochastic renewable energy introduces significant challenges for power system operators and disputes the efficiency of the current market design. Recent research embeds the uncertain nature of renewable sources by modelling electricity markets as a two-stage stochastic problem, co-optimizing day-ahead and real-time dispatch. In this framework, we introduce a bilevel model to derive the optimal bid of a strategic wind power producer acting as price-maker both in day-ahead and real-time stages. The proposed model is a mathematical Program with Equilibrium Constraints (MPEC) that is reformulated as a single-level Mixed-Integer Linear Program (MILP), which can be readily solved. Our analysis shows that adopting strategic behaviour may improve producer's expected profit as the share of wind power increases. However, this incentive diminishes in power systems where available flexible capacity is high enough to ensure an efficient market operation.
The article presents a novel approach to modellinghuman arm using switched linear systems. The linear and nonlinear second-order differential equations are shown for two-link arm moving in the horizontal and vertical...
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ISBN:
(纸本)9780735412767
The article presents a novel approach to modellinghuman arm using switched linear systems. The linear and nonlinear second-order differential equations are shown for two-link arm moving in the horizontal and vertical planes. Linear equations in the state space have been formulated for these two objects. The next step is to present a switched linear system. Switching function is modeled as dependent on the state of the system. Finally, we are shown the division of the state space and linear equations describing the switched system for the vertical and horizontal two-link human arm.
The objective of this work is an energy evaluation based on the coefficient of performance (COP) of an experimental absorption heat transformer (AHT) operating with Water-Carrol solution. The COP is a measure of the t...
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Wind direction has a substantial effect on the environment and human lives. As examples, the wind direction influences the dispersion of particulate matter in the air and affects the construction of engineering struct...
Wind direction has a substantial effect on the environment and human lives. As examples, the wind direction influences the dispersion of particulate matter in the air and affects the construction of engineering structures, such as towers, bridges, and tall buildings. Therefore, a statistical analysis of the wind direction provides important information about the wind regime at a particular location. In addition, knowledge of the wind direction and wind speed can be used to derive information about the energy potential. This study investigated the characteristics of the wind regime of Mersing, Malaysia. A circular distribution based on Nonnegative Trigonometric Sums (NNTS) was fitted to a histogram of the average hourly wind direction data. The Newton-like manifold algorithm was used to estimate the parameter of each component of the NNTS model. Next, the suitability of each NNTS model was judged based on a graphical representation and Akaike’s Information Criteria. The study found that the NNTS model with six or more components was able to fit the wind directional data for the Mersing station.
Heterogeneous Nodes in a Mobile Ad Hoc NET-work(MANET) are having very constrained resources like memory, bandwidth, CPU speed, battery life etc. Here, Heterogeneous Nodes means, all/few nodes are having variety of fu...
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Heterogeneous Nodes in a Mobile Ad Hoc NET-work(MANET) are having very constrained resources like memory, bandwidth, CPU speed, battery life etc. Here, Heterogeneous Nodes means, all/few nodes are having variety of functionality. Irrespective of having higher secured nodes and security algorithms in MANETs, some time, the honest nodes can be accessed by fraud/malicious nodes or simply attacked by cracking security walls, in the rare case a node itself can also turn into a malicious node or acting on abnormal behaviour. This kind of scenario makes hard for tuning, hence human may not be able to acquire and catch a fraud/malicious/turned node to avoid adversary affect or misusing node's data for different purpose which is hazardous in some cases like Border Monitoring. In this novel approach, we tweak such scenarios, discharging the energy of heterogeneous node which is a valuable resources of MANETs called as retiring or invalidating a node, hence such node may not be a part of genuine communication.
The purpose of the paper is to perform a static analysis of a thin-wall cold-rolled steel cross-section of a trapezoidal sheet by means of a mathematical model developed in ANSYS, commercially available software appli...
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ISBN:
(纸本)9783038351979
The purpose of the paper is to perform a static analysis of a thin-wall cold-rolled steel cross-section of a trapezoidal sheet by means of a mathematical model developed in ANSYS, commercially available software applications. The trapezoidal sheets are used typically as an external cladding which covers the structures of steel halls. Investigating into behaviour of the trapezoidal sheets subjected to extreme loads represents an urgent issue in wind engineering. A physical tension test has been performed in order to verify and confirm the mathematical model. Experiments have been performed to prove results of the static analysis into the behaviour of a load-carrying structure formed by a thin-wall cross-section.
Denial of Service (DoS) is a hot topic phenomenon lately. The intensity of DoS attacks increasing every day with the discovery of a new attack with the same type which is Distributed Denial of Service (DDoS). Both, at...
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Denial of Service (DoS) is a hot topic phenomenon lately. The intensity of DoS attacks increasing every day with the discovery of a new attack with the same type which is Distributed Denial of Service (DDoS). Both, attack the victims by flooding a lot of packet to the traffic channels at a time. This makes the flow of packets to the victim's becomes choked and victim do not get the desired package because the density of traffic on its network. Traffic anomaly based is a good technique to detect DDoS attack. Traffic anomaly can be used by several method. One of them is self-similarity. Self-Similarity methods is suitable to the network traffic behaviour. Self-Similarity is a scale of invariant which always have the same. Today, self-similarity has been a dominant framework for modelling network traffic. It will show a plot of the traffic will have in common, even though it has a different time. For the result we use kolmogorv-smirnov to differentiate the anomaly and normal condition in each step of self-similarity. In normal condition Kolmogorov-smirnov test always give 0 and for anomaly condition give 1 for each step. 0 means that data were analysed didn't have a large difference. Otherwise data have a large difference. Hurst estimator provide 0,645 for normal condition. For anomaly condition, hurst estimator provide 1,443. This is compatible with previous research which states that the hurst exponent from nomal traffic will provide value between 0,5
This paper presents a simulation of an ambulatory processes using timed Petri net (TPN). The simulation considers the flow of patients in the biggest Brazilian cardiology hospital. The TPN is used as a decision suppor...
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This paper presents a simulation of an ambulatory processes using timed Petri net (TPN). The simulation considers the flow of patients in the biggest Brazilian cardiology hospital. The TPN is used as a decision support system (DSS) in order to improve the processes, to reduce the waiting time of the patients in the ambulatory and in this way to assure a high quality service to the patients. Simulations were carried out using the software Visual Object Net++. This is a free software and therefore the presented solution is a low cost solution. To provide a low cost solution is very important since the hospital is kept from the government and operates with limited financial resources. The patients' workflow in the hospital can be faced as a service and the modelling and optimization of these services bring more efficiency to the system as well as improve the human factors involved.
A flexible and intuitive prototyping approach for the 3D garment computer-aided system is proposed. The overall 3D garment pattern is divided into a series of developable 3D patches. Each of them is modeled as a ruled...
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A flexible and intuitive prototyping approach for the 3D garment computer-aided system is proposed. The overall 3D garment pattern is divided into a series of developable 3D patches. Each of them is modeled as a ruled Bezier surface with its boundary curves being generated by corresponding control points. On one hand, the modeled 3D garment patch exhibits good fitness and individuation, on the other hand, the form of the ruled Bezier surface satisfying developable requirements enables the flattening from 3D space to 2D space to be realized easily with no any *** contrast with the existing approaches, the presented approach is provided with intuitiveness, efficiency and adaptivity to the human body shape, which accordingly promote the advances of automatic design to mass made-to-measure apparel products.
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