By using biomechanical analyses applied to sports many researchers are providing important information to coaches and athletes in order to reach better performance in a shorter time. In swimming, these kinds of analys...
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Chronic care manages long-term, progressive conditions, while acute care addresses short-term conditions. Chronic conditions increasingly strain health systems, which are often unprepared for these demands. This study...
Searching for narrow-band red-emitting and thermally stable phosphors is the ultimate strategy toward enhanced performance of phosphor converted light emitting diodes (pc-LED). The red emission is assured by the nitri...
Searching for narrow-band red-emitting and thermally stable phosphors is the ultimate strategy toward enhanced performance of phosphor converted light emitting diodes (pc-LED). The red emission is assured by the nitride host because of its relatively more covalent character than oxides and sulfides; however, the narrow emission is attributed to crystallographic, morphological, and electronic considerations. The symmetric coordination site ensures equal ligand effect in all direction fits well with the configuration of Eu2+ f orbitals in the excited state, as observed in cuboid nitrides. Further, thermal stability is ascribed not only to suitable bandgap but more specifically, a relatively distant location of the lowest 5d level from the bottom of the conduction band (CB) that consequently entails high energy to quench excited electrons by exciting them further up to the CB. Modes toward the development of new nitride hosts with potentially narrow-band emission have been identified. A viewpoint on light-emitting diode (LED), backlighting, and laser lighting, which remains the most economically-rewarding phosphors application, is presented. Other exciting frontiers, such as agricultural illumination and persistent luminescence, maximize nitride systems that have other properties other than the stringent narrow-band red emission and excellent thermal stability required for the desired improvement of the mainstream LED application.
A new design of a magnetorheological piston prototype intended for passive or active force control in robotic applications for human robot interaction is introduced. It is based in a novel toroidal array of valves, co...
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A new design of a magnetorheological piston prototype intended for passive or active force control in robotic applications for human robot interaction is introduced. It is based in a novel toroidal array of valves, contained within the piston head, which are used to control the output force of the actuator in order to achieve a high degree of reliability, size efficiency, and safety, by exploiting the material properties of magnetorheological fluids and permalloy metals. This paper describes the main points in the development of the magnetorheological piston prototype, the mathematical modelling of the magnetic circuit, and the results of the experiments conducted using a universal testing machine to evaluate the passive performance of the prototype. Results show the feasibility and performance of the new toroidal magnetic circuit of the magnetorheological hydraulic piston prototype. Improvements in order to be able to test the active performance of the design together with a pump setup are proposed.
Ge peaking n- and p-FinFETs have been demonstrated by adopting neutral beam etching (NBE) and anisotropic neutral beam oxidation (NBO) processes. The irradiation-free NB processes not only suppress surface roughness b...
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ISBN:
(纸本)9781509039036
Ge peaking n- and p-FinFETs have been demonstrated by adopting neutral beam etching (NBE) and anisotropic neutral beam oxidation (NBO) processes. The irradiation-free NB processes not only suppress surface roughness but also guarantee low defect generation on the etched Ge surface. The fabricated Ge peaking FinFETs possess several unique features: (1) A peaking fin configuration with a 6-nm top-gate formed by an anisotropic NBO process at room temperature. (2) Nearly defect-free three dimensional channel surfaces by NB processes. (3) Ion and G_m improvement by NB processes as compared to that by conventional inductively coupled plasma etching (ICP). (4) Recorded high Ion/Ioff ratio and low subthreshold swing (S.S. ~ 70 mV/dec.) of Ge n-FinFETs. (5) Excellent immunity for short channel effect of Ge FinFETs.
This paper proposes a new approach for the simultaneous stabilization of multi-machine power system networks by tuning the parameters of power system stabilizers (PSS) using backtracking search algorithm (BSA). To enh...
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This paper proposes a new approach for the simultaneous stabilization of multi-machine power system networks by tuning the parameters of power system stabilizers (PSS) using backtracking search algorithm (BSA). To enhance system damping, damping ratio based objective function is considered and widely used conventional lead-lag type PSS structure is used. The ability to lead the optimal design of the PSS regardless of the initial guess proves the robustness of the algorithm. The performances of the approach are investigated for two different multi-machine networks subjected to three phase fault and the results obtained from simulation verify the effectiveness of the proposed technique. The simulation results are also compared with a well-established swarm intelligence paradigm in this field called particle swarm optimization (PSO), which also gives confidence on the proposed technique.
With concerns about climate change growing it could be that green energy will begin to play a major role. Green Energy requires to resolve the optimization problem of electronic distribution, control, and storage with...
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With concerns about climate change growing it could be that green energy will begin to play a major role. Green Energy requires to resolve the optimization problem of electronic distribution, control, and storage with decision rule support. Due to the characteristics of green energy data nature - time dependency and variance, and big data, a novel approach to induct rules is required without re-computing rule sets from the very beginning, when new objects are updated to information system. The proposed approach updates rule sets by partly modifying original rule sets, hence a lot of time are saved, and it is especially useful when extracting rules from big data sets. The rules comparison helps decision maker to explore the marketing and qualified decision for renew energy distribution.
Over the last decades there has been a growing interest in modeling human performance and analyzing human activity and human operator behavior to improve system design. A variety of tools and approaches which are base...
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Over the last decades there has been a growing interest in modeling human performance and analyzing human activity and human operator behavior to improve system design. A variety of tools and approaches which are based on task analysis methods and tools have been proposed. As technology advances and tasks become more demanding, human work changes increasing the need to create new methodologies and tools for task analysis to face the new challenges. The main aim of this research is to develop a new framework and model for simulation of human tasks performed by individuals with varying levels of skills, considering operator workload and human errors. In order to achieve this goal and fill the current gaps, a review of existing task analysis methods and tools is conducted and a model named UTASiMo is proposed. In addition, the Unified Modeling Language is used to describe the conceptual model and illustrate the different constructs and concepts included in the model. Finally, we present a case study and a preliminary simulation model designed in AnyLogic TM .
This paper proposes a new application based on fuzzy logic to search the optimal Step Size of the Normalized Least Mean Square (NLMS) algorithm for beamforming systems. The searching of the step size depends on the fu...
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ISBN:
(纸本)9781479984992
This paper proposes a new application based on fuzzy logic to search the optimal Step Size of the Normalized Least Mean Square (NLMS) algorithm for beamforming systems. The searching of the step size depends on the fuzzy inference results of an estimation of the final value of the cost function (J_E) instead of using its instantaneous value. The update of the step-size is performed outside of the adaptive algorithm and given it feedback by the fuzzy inference system;therefore the step-size is still fixed for the NLMS algorithm but variable for the complete searching scheme. Simulation experimental results show that a useful approximation of the optimal step-size can be obtained for different conditions of signal-to-noise plus interference ratios (SINR) and the minimization of the mean square error for the adaptive beamforming algorithm is also achieved.
The synthesis reaction used in esterification needs high energy consumption and a precise processing time to get the best yield of target. In this study, a model was formulated to optimize glycerol esterification proc...
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ISBN:
(纸本)9781509003648
The synthesis reaction used in esterification needs high energy consumption and a precise processing time to get the best yield of target. In this study, a model was formulated to optimize glycerol esterification process by minimizing the time needed for the process and maximizing the yield of Mono-glycerides. This optimization has gained importance for boosting the esterification industry and improving the production efficiency. Optimization through adaptive monitoring and control has provided significant advances in the process efficiency, a lower energy consumption and a better product quality. This paper presents the optimization with a computational algorithm in real time and adaptive control (RTAC), as compared to the conventional (traditional) methods to monitor and control of glycerol esterification processes. The identification of esterification status based on temperature and time are evaluated to strengthen the optimization. An adaptive method as feature selection to select wavelength IR sensors at specified intervals was carried out with Relief algorithm and Adaptive Pillar K-means clustering method to set the parameter control was proposed in this paper. Many combinations were evaluated from real time condition process, to achieve the best optimization results. The experimental results demonstrate that real time adaptive control can be achieved by using three clusters, which are heating up, stabilizing and finishing. In RTAC, each cluster has its own parameter to set the control point by the servo motor that was attached to magnetic stirrer-heater. By using optimization parameter for each cluster, esterification process time can be shortened by 15-20 minutes with a higher yield (7% or more), lower range stirrer rotation (300rpm-450 rpm) and a lower final temperature of 200℃ - 210℃.
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