The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Environmentally-friendly energy-efficient vehicles are an important contributor to meet future global transportation needs. To minimise the environmental impact of a vehicle throughout its entire life cycle, the life cycle energy optimisation (LCEO) methodology has been proposed. Using the proxy of life cycle energy, this methodology balances the energy consumption of vehicle production, operation...
Unlike traditional animation techniques, which attempt to copy human movement, ‘cognitive’ animation solutions mimic the brain's approach to problem solving, i.e., a logical (intelligent) thinking structure. This procedural animation solution uses bio-inspired insights (modelling nature and the workings of the brain) to unveil a new generation of intelligent agents. As with any promising new approach,...
Parameter estimation is a key concern for reliable and predictive models of biological systems. In this paper, we propose a multi-objective, multi-state optimization framework that allows multiple data sources to be incorporated into the parameter estimation process. This enables the model to better represent a diverse range of data from both within and outwith the training set; and to determine more...
Kinetic systems form a wide nonlinear system class with good descriptive power that can efficiently be used for the dynamical modeling of non-negative models emerging not only in (bio)chemistry but in other important scientific and engineering fields as well. The directed graph structure assigned to kinetic models give us important information about the qualitative dynamical properties of the system...
In this paper, we investigate the performances of two different algorithms for calculating the metro vehicles speed profiles minimizing the energy consumption of a given path. The optimization problem, formulated as a Mixed-Integer Nonlinear Programming (MINLP) problem, take into account constraints related to the trip (time-table, distances, acceleration limits, etc.) and constraints related to the...
The ability to generalize beyond the training set is paramount for any machine learning algorithm and Genetic Programming (GP) is no exception. This paper investigates a recently proposed technique to improve generalisation in GP, termed Interleaved Sampling where GP alternates between using the entire data set and only a single data point in alternate generations. This paper proposes two alternatives...
Recent ordinary differential equation (ODE) based techniques allow efficient analysis of Markovian population models with extremely large state spaces. In most cases of realistic scale, they provide the only alternative to stochastic simulation. Moreover, numerical solution of the ODEs is cheaper computationally than simulation by orders of magnitude. We present the Grouped PEPA Analyser (GPA) tool...
This paper deals with the design of a nonlinear model predictive control (NMPC) scheme for the regulation of the substrate concentration in a lipase production bioprocess that takes place inside a Fed-batch Bioreactor. The NMPC control structure is based on the nonlinear model of the process whose parameters are known and all the states are measurable. Minimization of the cost function is realized...
Aiming at the optimization problem of recycling channel of waste electronic products, the channel efficiency and its lost of the waste electronic products with recycling based on four different models are discussed in the paper. The research shows that the expected revenue values of used electronic products are the motive factors of recycling activities, the channel efficiency lose is happened in...
Environmental concerns on the negative impact and depletion of fossil fuels have triggered a search for alternative energy sources. Biofuels are recognised as one of the most potential renewable alternatives. In order to have a sustainable production of biofuels, a processing facility (i.e., biorefinery) that converts biomass into value-added products is needed. As the first and second generations...
It is important to evaluate Building Life Cycle Energy Consumption which is the key problem of building energy-saving. In order to get the global optimization for the whole Building Life Cycle (BLC), the multi-objective optimization model is proposed in this paper. Ant colony algorithm is applied to analyze the BLC and find the minimum of energy consumption. This research will assist the implementation...
This paper presents a game theoretic multi-level optimization model that aims to control the international biofuel market, driving it towards the desired scenario. The resulting model gives an interpretation of the different scenarios that could face real world energy systems. The upper level decision maker, an international body, aims to maximize the total amount of biofuel that is locally produced...
Contemporary microwave circuit design is based on EM simulations and complex simulation models. Simulation model design is a must for growing number of devices and systems for which theoretical (e.g., analytical) models are either not available or not sufficiently accurate to yield the design satisfying given performance requirements. As prototype manufacture is very costly, the use of computer simulations...
Wind blowing over the sea surface generates many dramatic effects. One of the most important effects is bubbles generated by breaking waves, which can have a major effect on high frequency acoustic propagation, sound speed profile and ambient noise due to the sound scattering and absorption properties of a thin layer of bubbles. In this paper, on one hand, we analyze several important properties of...
In the process of achieving enterprise value maximization, agricultural enterprises will face external and internal risks of uncertainty. The premise of risk control is to conduct a risk assessment. The key of risk assessment is to establish and optimize the evaluation index system. In this paper, we use factor analysis to optimize the evaluation index system of agricultural enterprises risk. The...
This paper is a systematic theoretical study on the formation and development of urban spatial structure (USS) and New Towns. A dynamic simulation model of urban spatial structure evolution is presented in this paper. The model is characterized in terms of New Towns' endogenous, besides this, urban spatial evolution dynamics depends on the form of the urban market potential, which is described by...
With the combination of information technology and the theory of design pattern, this article focuses on the analysis and comparison of the principles and methods in the business layer design of an information system. The principles of three design patterns, namely business delegate, factory pattern and dependency injection were introduced with in-depth and a new solution to business layer design...
In contrast, there exist bullwhip effect in the supply chain of perishable product more easily. We establish a system dynamics model of the supply chain of perishable product, analyzing the causes of the bullwhip effects. Analysis shows that the changes of consumer demand, the differences of retailer's order cycle, wholesaler's order cycle, production cycle, the delivery delay of wholesaler and delivery...
Steam pipelines play an important role in industrial enterprises. They joint the heat producer and users, and constitute the energy transmission networks. The total cost on steam pipelines include the expense of steel and heat insulator, converted expense of heat loss, and construction cost. This study develops a mathematical model of total cost on steam pipelines with golden section algorithm. The...
This paper aims at warning modellers in systems biology against several traps encountered in the modelling of Boolean thresholded automata networks, i.e. the Hopfield-like networks that are often used in the context of neural and genetic networks. It introduces a new manner based on inverse methods to conceive such models. Using these techniques, we re-visit the model of regulatory network of Arabidopsis...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.