TRANSFORMATION BETWEEN TWO KINDS OF EXPANSION COEFFICIENTS OF SYMMETRIC FUNCTIONS BASED ON MAPPING METHOD

This paper discusses the definitions and properties of two kinds of fundamental symmetric functions, which are based on AND-OR-NOT algebraic system and AND-Exclusive OR algebraic system, respectively. Based upon it, some mapping transformation methods between two kinds of expansion coefficients of an arbitrary symmetric, function in the complete set of two fundamental symmetric functions.     

Distributed continuous process simulation: An industrial case study

This paper describes a distributed continuous simulation of an industrial scale case study using DCOM components. The proposed approach considers each part of the simulation as a DCOM component. These components contain simulations performed with an efficient modelling language, EcosimPro, while other software elements communicate and synchronize the execution of the components. The case study considers an industrial scale simulation corresponding to a beet sugar factory. Several aspects, like the effect of increasing the distribution degree or how it is restricted by the computational requirements of the simulations and the performance of the machines have been studied. The paper describes also an operators training simulator for a sugar factory, based on the distributed simulation.     

Effect of the re-use of the osmotic solution on the stability of osmodehydro-refrigerated grapefruit

Osmotic dehydration (OD) of grapefruit (55°Brix sucrose solution, 30 °C) was carried out to obtain ˜75 g water/100 g sample in the final product. Although the grapefruit was replaced each time, the osmotic solution (OS) was reused for five OD cycles, with or without pasteurization. The samples obtained in cycles 1, 3 and 5, were stored at 10 °C. Changes in °Brix, water content, water activity, pH, total acidity, ascorbic acid content, cation concentration, respiration rate and total microbial counts at different storage times were analyzed and compared to fresh-cut grapefruit stored under the same conditions. During OD, a partial loss of the natural soluble substances present in the fruit was observed. In terms of the dehydration level reached by the fruit, it is possible to reuse the OS in up to 5 OD, without any reconcentration treatment. Nevertheless, it is advisable to pasteurize the OS before each cycle in order to obtain a product with a shelf-life of between 7 and 12 days in refrigeration, depending on the number of cycles.     

电流型多值CMOS电路的化简

本文提出了电流型多值CMOS电路的化简方法,该方法的关键在于寻找适合于电流型多值CMOS电路实现的覆盖。设计实例表明,本文提出的设计优于G。W。Dueck等人(1987)的设计。     

A Shared Biosynthetic Pathway for Botcinins and Botrylactones Revealed through Gene Deletions

Isotopic labelling experiments and the study of mutants with disrupted genes encoding botcinic acid have revealed a common link in the biosynthesis of the polyketide toxins excreted by Botrytis cinerea: botcinins and botrylactones. Furthermore, the results reported here shed light on the origin of the starter unit, thereby solving a long‐standing mystery in the biosynthesis of botcinins.     

Multilayer Feedforward Neural Network Based on Multi-valued Neurons (MLMVN) and a Backpropagation Learning Algorithm

A multilayer neural network based on multi-valued neurons (MLMVN) is considered in the paper. A multi-valued neuron (MVN) is based on the principles of multiple-valued threshold logic over the field of the complex numbers. The most important properties of MVN are: the complex-valued weights, inputs and output coded by the kth roots of unity and the activation function, which maps the complex plane into the unit circle. MVN learning is reduced to the movement along the unit circle, it is based on a simple linear error correction rule and it does not require a derivative. It is shown that using a traditional architecture of multilayer feedforward neural network (MLF) and the high functionality of the MVN, it is possible to obtain a new powerful neural network. Its training does not require a derivative of the activation function and its functionality is higher than the functionality of MLF containing the same number of layers and neurons. These advantages of MLMVN are confirmed by testing using parity n, two spirals and “sonar” benchmarks and the Mackey–Glass time series prediction.     

Heuristics for the Unrelated Parallel Machine Scheduling Problem with Setup Times

The problem addressed in this paper is the non-preemptive unrelated parallel machine scheduling problem with the objective of minimizing the makespan. Machine-dependent and job sequence-dependent setup times are considered, all jobs are available at time zero, and all times are deterministic. This is a NP-hard problem and in this paper, optimal solutions are found for small problems only. For larger problems, a new meta-heuristic, Meta-RaPS, is introduced and its performance is evaluated by comparing its solutions to the solutions of an existing heuristic for the same problem. The results show that Meta-RaPS found all optimal solutions for the small problems and outperformed the solutions obtained by the existing heuristic for larger problems.     

On predicting two-dimensional heat transfer in a cylindrical porous media combustor

Convective heat transfer within a cylindrical inert porous media combustor is studied. A two-dimensional, two temperature mathematical model, based on fluid mechanics, energy and chemical species governing equations is used for combustion simulation. The finite volume method is used to solve the discrete model for methane combustion with air. Results are presented for unsteady velocity and temperature distributions, as well as for the displacement of the combustion zone, to assess the effects of inlet reactants velocities in the range 0.3–0.6 m/s; excess air ratios between 3 and 6 and porosities of 0.3 up to 0.6 in the convection heat transfer and combustion processes.