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This paper examines the problem of choice investment strategies of firms in an oligopoly markets. We study the impact of investment strategies of companies on its financial performance and the efficiency of investment under demand uncertainty and competition in the market. A mathematical model describing the investment behavior of firms in an oligopoly markets presented. A solution of the problem...
This paper proposes a multiple predictive control strategy in order to control a combination of substrate concentrations inside of an anaerobic digestion process of microalgae. Based on the linear approximation of the original nonlinear model, an optimal control algorithm was developed and tested by simulation experiments. The obtained results validate the effectiveness and robustness of the proposed...
Natural Language Processing (NLP) is a prominent subject which includes various subcategories such as text classification, error correction, machine translation, etc. Unlike other languages, there are limited number of Turkish NLP studies in literature. In this study, we apply text classification on Turkish documents by using n-gram features. Our algorithm applies different preprocessing techniques,...
SysML is a prominent standard serving model-based system design for systems-of-systems (SoS). It facilitates the description of complex system design, as a hierarchy of interacting system components, while at the same time enables the independent description of each component behaviour. However, in order for the system designer to decide whether a SoS architecture is efficient, non-functional properties,...
The human brain is able to rapidly understand scenes through the recognition of their composing elements and comprehension of the role that each of them plays. This process, related to human perception, impacts in what people care when they see an image and the priority they give to each element. The idea of priority, also referred as importance, is based on biological features of perception and social...
Cluster computing combines the resources of multiple computers as they act like a single high-performance computer. In this study, a computer cluster consisting of Lustre distributed file system with one cluster server based on Slurm resource management system and thirteen calculation nodes were built by using available and inert computers that have different processors. Different bioinformatics algorithms...
The increasing amount of gathered sensor data in Industry 4.0 allows comprehensive data analysis software that creates value-adding opportunities. As companies often cannot implement such software by themselves and as they typically don't want to give their data to external scientists, they commission them to build the required software in order to execute it locally. However, installing, configuring,...
This paper gives a brief overview of the International Workshop on Vocabularies, Ontologies and Rules for the Enterprise (VORTE) held at EDOC 2017. The paper introduces the workshop series' research topics and presents this year's program
The biological treatment of industrial waste is a priority theme for the sustainable development of any society. In recent years, there has been a significant increase in the study of the efficiency and reduction of the energy costs of this process, as active sludge treatment plants are characterized by a high cost of aeration. This study aims at modeling an active sludge treatment plant based on...
In this paper, the computational modeling of the 2D human breast in hyperthermia treatment at 2.45 GHz is studied. The mathematical tool used in this study for investigating the distribution of generated heat is the COMSOL software where the breast is modeled by Pennes' bioheat equation. The model simulation is conducted to investigate the effects of exposure time and power inputs on the cancerous...
Distributed Generation (DG) is a sustainable alternative energy paradigm that allows flexible customer-participated demand response management, however when coupled with battery storage in a carbon costed policy setting true reduction of greenhouse gas emissions may not necessarily be rewarded. This paper examines the role of policy settings using an established multi-agent simulation framework that...
Large scale adoption of electric vehicles (EVs) would significantly increase the overall electricity demand of the power distribution networks. Hence, there is a need for comprehensive planning of charging infrastructure in order to prevent power failures or scenarios where there is a considerable demand-supply mismatch. Accurately predicting the realistic charging demand of energy storage systems...
Microbial Fuel Cell (MFC) power production and Microbial Electrolysis Cell (MEC) organic production depend strongly on their dynamic environment conditions, like inlet substrate concentration, temperature, etc. This work presents a discrete extremum seeking controller to quickly tune the MFC and MEC electrical settings in order to achieve maximum performance irrespective of these dynamic environment...
In the present paper a bank of local linear observers is designed for an alcoholic fermentation process. The design is based on the respective linear approximants of the mathematical description of the nonlinear process at particular operating points. The target and tolerance operating areas of the process are determined. A residual of the performance of the observers is introduced. A switching mechanism...
Solar cell/module modeling involves the formulation of the non-linear current versus voltage (I-V) curve. Determination of parameters plays an important role in solar cell/module modeling. This paper presents an application of the improved PSO search method and Particle Swarm Optimization technique for identifying the unknown parameters of solar cell and photovoltaic module models, namely, the series...
The electromagnetic field is an interest scientific subject on overhead transmission lines OTL under high voltage for the reason of their risk on the living organisms such as blood leukemia and others. The aim of this paper is to calculate the electric potential, electric field and the magnetic field around and near of high voltage transmission lines using The ComsolMultyphisics program package based...
An approximate model for efficient analysis of stochastic time response of microfluidic biosensors is presented, that considers a random AD process coupled with mass transfer (convection and diffusion) of target substance particles. The deterministic model of sensor response is also reviewed. We perform the analysis of the mass transfer influence on the kinetics and the steady-state value of the response...
Sophisticated cyber attacks by state-sponsored and criminal actors continue to plague government and industrial infrastructure. Intuitively, partitioning cyber systems into survivable, intrusion tolerant compartments is a good idea. This prevents witting and unwitting insiders from moving laterally and reaching back to their command and control (C2) servers. However, there is a lack of artifacts that...
The present work is focused for the modelling, analysing, and evaluating of the obtained results from the simulation of the electric vehicles demand with “EnergyPLAN”. The models have developed for creating an optimal structure of the energy supply for electrical vehicles useful in Romanian energy system. For reducing greenhouse gas emissions and for decarbonizing the economy in the following period,...
We develop an algorithm based on the finite-difference time-domain (FDTD) method to simulate light scattering from two-dimensional (2D) cell models. Our 2D FDTD code is implemented with the perfectly matched layer (PML) boundary condition. Simulation results from circular homogeneous models by our FDTD code agree well with published Mie theory results. The comparison between different 2D FDTD simulations...
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