In this paper, the nonlinear constitutive relation of shape memory alloy is proposed. Based on this, the nonlinear dynamic model of a shape memory alloy composite doubly-clamped beam is established. Multi-scale method...
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In this paper, the nonlinear constitutive relation of shape memory alloy is proposed. Based on this, the nonlinear dynamic model of a shape memory alloy composite doubly-clamped beam is established. Multi-scale method is used to obtain an approximate solution of the system. Finally, the theoretical results were verified by experiments. The experimental results show that the nonlinear characteristics of the system response in the high-order mode are caused by the hysteresis nonlinear characteristics of shape memory alloy. The results of this paper is helpful for the applications of shape memory alloy composite structure in engineering.
This paper proposed an improved linear-in-parameters based genetic programming method for the chemical kinetics system modelling. To make the search space suitable for chemical kinetics modelling a functional library ...
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Fog computing is emerging as a powerful technology and computing paradigm which enables the providers to execute the services in the edge network. Both sensor computing and mobile computing are selected as the fog nod...
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A need for an optimal solution for a given mathematical model is well known and many solution approaches have been developed to identify efficiently an optimal solution for a given situation. For example, one such cla...
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Dynamic pricing strategy is a pricing strategy that is often applied by hotels to maximize their income. The purpose of this study is to provide a pricing policy proposal in accordance with dynamic pricing models. Thi...
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ISBN:
(纸本)9781728130163
Dynamic pricing strategy is a pricing strategy that is often applied by hotels to maximize their income. The purpose of this study is to provide a pricing policy proposal in accordance with dynamic pricing models. This study provides a dynamic pricing model that has been adapted to the problems that exist in hotels with various types of rooms. This research consists of three stages, the first phase is predicting future demand. The second stage applying revenue management tools, namely dynamic pricing, to model the effect of prices on demand. Prices change dynamically based on the number of requests available. The third stage is using a nonlinearprogramming approach to maximize revenue. Forecast parameters and dynamic pricing models are estimated using historical sales data for one of the hotels in Bandung, West Java, Indonesia. The results suggest a pricing policy for superior and deluxe room types that can increase revenue by 27% more than the existing pricing policy. The proposed pricing policy is able to complete the method void in determining prices. In addition, the results of this study provide optimal room rates every day along the planning horizon.
Aerodynamics Data Acquisition System (ADAS) acquires analog data from the sensors and converts it into digital signals by performing different operations such as signal conditioning, amplification, and digital convers...
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ISBN:
(纸本)9781538695098
Aerodynamics Data Acquisition System (ADAS) acquires analog data from the sensors and converts it into digital signals by performing different operations such as signal conditioning, amplification, and digital conversion. With the increase in a number of processing cores, a shift from sequential to parallel ADAS has been observed recently. Therefore, in this work, we have proposed and developed a Flexible Aerodynamics Data Acquisition System (FADAS). The FADAS system aims to achieve the considerable increase in the performance, scalability, and programmability. To validate the performance of the FADAS we integrate it with Angle of Attack, Pressure Transducer Unit and environmental control system of aircraft and interfaced with of single board computers using parallel programming models.
A novel energy efficient opportunistic spectrum access strategy was proposed to solve the energy constrain issue of a secondary user in non-slots cognitive radio network, in which a secondary user sensed the channels ...
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A novel energy efficient opportunistic spectrum access strategy was proposed to solve the energy constrain issue of a secondary user in non-slots cognitive radio network, in which a secondary user sensed the channels licensed to some primary users sequentially before it decided to transmit. To maximize energy efficiency the algorithm can make the secondary user specify the optimal channel sensing time and transmission power to be used upon transmission. During power control process, packet length to be transmitted of the secondary use was considered to regulate the transmission power adaptively. nonlinear fractional programming problem can be converted into a linear programming problem, thus obtaining the maximum energy efficiency by Binary Search algorithm. Simulation results indicate that the proposed strategy can achieve the tradeoff between the sensing performance and sensing overhead and efficiently improve the energy efficiency of the secondary user.
In this paper, the class of semi E h-b-preinvex and pseudo E h-b-preinvex functions are defined as an extension of E-B-preinvex and h-preinvex functions. In this extension the functions E:Rn → Rn, h: [0,1] → , and b...
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Energy-efficient data collection from the environment is a critical operation in many applications areas of wireless sensor networks (WSNs). Unprecedented techniques which help in ameliorating the energy eff...
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A real-world problem of transport logistics, which generalities the generic problem in this area of research, is formulated. Its mathematical model as a problem of combinatorial optimization in a combinatorial setting...
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ISBN:
(数字)9781728190839
ISBN:
(纸本)9781728190846
A real-world problem of transport logistics, which generalities the generic problem in this area of research, is formulated. Its mathematical model as a problem of combinatorial optimization in a combinatorial setting is formed. Issues with a reformulation of the problem as Euclidean combinatorial optimization one are discussed as well as perspectives of its solution by methods of nonlinearprogramming, discrete and continuous.
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