In the paper, based on a comparative analysis of the methods of processing time-interval codes used as secondary surveillance radar information signals consisting of a different sequence of performing joint decoding o...
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ISBN:
(数字)9781538652640
ISBN:
(纸本)9781538652657
In the paper, based on a comparative analysis of the methods of processing time-interval codes used as secondary surveillance radar information signals consisting of a different sequence of performing joint decoding operations, selecting signals by duration and time position, it is shown that the most effective is the signal processing method in which first the signals are decoded, then the signals are selected in accordance with the duration and in the future with the selection according to the time position, which provides the lowest probability of a false alarm of the first kind.
We consider here the inventory problems with infinite rate of replenishment in crisp and fuzzy environments over a finite time horizon for deteriorating multi-items taking time dependent demand and allowing shortages ...
We consider here the inventory problems with infinite rate of replenishment in crisp and fuzzy environments over a finite time horizon for deteriorating multi-items taking time dependent demand and allowing shortages and equal replenishment cycles. Here, the objectives of maximizing the profit and minimizing the replenishment cost are imprecise in nature. Total shortage cost is assumed to be limited but vague and imprecise in non-stochastic sense. The impreciseness in the above objectives’ and constraint’ goals have been expressed by fuzzy linear Membership Functions (MFs). Under these assumptions, a Decision Maker (DM) is confronted with four possibilities depending upon the nature of the first and last cycles and he/she has to choose the best one for maximum profit-ratio (i.e. the ratio of total profit to total cost). Hence, both crisp and fuzzy models with different shortage criteria are developed and solved by the weighted fuzzy non-linear programming (WFNLP) and goal attainment methods (GAM). Fuzzy models have also been solved by an integrated goal attainment and fuzzy non-linear programming technique (GAFNLP). Models are illustrated with numerical examples and the results are compared.
In this article e-leaming traffic which is served by system on the hyper convergent platform is considered. It was done the analysis of the known methods of determine the degree of pulsation of traffic. The method for...
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In the last years, Virtual Reality (VR) has been established itself as a highly promising media technology for reconstruction and presentation of cultural heritage sites to a wide audience. Virtual Reality enables not...
In the last years, Virtual Reality (VR) has been established itself as a highly promising media technology for reconstruction and presentation of cultural heritage sites to a wide audience. Virtual Reality enables not only an exploration of a single artefact but of many virtual objects spatially and temporally arranged into a single scene. The users enter an artificially created space and get a feeling of being a part of it. They can perceive and interact with the objects in the virtual environment in natural way. In this paper we propose a conceptual model of the VR module for the “Virtual Plaza for Immersive Representation of Bulgarian Cultural Heritage Sites”. It contains an analysis of the possible input data and the developed workflows to help experts from the cultural heritage domain to implement various scenarios for presentation of single artefacts and complete scene par of cultural heritage site using the benefits of Virtual Reality as visualization medium.
The paper, basing on analysis of the Monte-Carlo Tree Search (MCTS) method and specific features of its behavior for various cases of usage, proposes a new variant of the method, which was called as Monte-Carlo Tree S...
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ISBN:
(纸本)9781509030071
The paper, basing on analysis of the Monte-Carlo Tree Search (MCTS) method and specific features of its behavior for various cases of usage, proposes a new variant of the method, which was called as Monte-Carlo Tree Search with Tree Shape Control (MCTS-TSC) and which uses original Depth-Width Criteria (DWCs) for both tree shape estimation and control during search and for estimation and selection of potentially better options for search continuation. Proposed Tree Shape Control (TSC) technique can be used with some other tuning, pruning, and learning techniques. Besides, it can provide better scheduling of MCTS parallelization.
A profit maximization deteriorating multi-item inventory model with stock-dependent demand is developed in fuzzy environment. Here, the available space for inventory storage is limited, holding cost and selling price ...
A profit maximization deteriorating multi-item inventory model with stock-dependent demand is developed in fuzzy environment. Here, the available space for inventory storage is limited, holding cost and selling price are purchasing price dependent and the rate of production is finite and uniform. The fuzzy environment is created making the inventory costs, purchasing price, storage area and the rate of deterioration imprecise and vague to certain extent. The impreciseness of these parameters are expressed by linear and non-linear membership functions. The fuzzy model is solved by fuzzy non-linear programming (FNLP) method and illustrated with a numerical example. The results of the fuzzy model are compared with those of the crisp model. Parametric study of the model and its sensitivity with respect to some parameters are presented.
This article focuses on an integrated production inventory model with rework of the imperfect units and stock dependent demands of the customer from several retailers. There is an opportunity to build a model to measu...
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This article focuses on an integrated production inventory model with rework of the imperfect units and stock dependent demands of the customer from several retailers. There is an opportunity to build a model to measure the amount of carbon emissions during the time of production and the corresponding rate of carbon emission parameters are random which follows Beta distribution. Here, the rate of imperfectness is assumed to be a function of time and production rate. In this paper, a manufacturer–retailer–customer chain system is developed in which the retailer gets an upstream trade credit period from the manufacturer and retailers offer a downstream trade credit period to customers to stimulate demand as well as sales and reduce inventory. The model has been developed as a profit maximization problem with respect to the manufacturer and retailers. Finally, several numerical examples and sensitivity analysis are provided to illustrate the model.
This paper focuses on the latest version of a tool developed within the department to guide developer through the various steps of requirements, test-procedures and documentations to finally download the derived algor...
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Neurons use electricity in order to communicate to each other. Due to numerous signals sent by neurons, there are oodles of electrical activity in the brain. Sensitive equipment like electroencephalogram (EEG) biosens...
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Neurons use electricity in order to communicate to each other. Due to numerous signals sent by neurons, there are oodles of electrical activity in the brain. Sensitive equipment like electroencephalogram (EEG) biosensor perceives the brainwaves emanated from neurons. Beta waves are responsible for problem solving or decision making and associated with attention. Alpha waves are associated with now and meditation. Neurosky EEG biosensor perceives the brainwaves and transforms these brainwaves into attention and meditation values. In this study, Neurosky EEG biosensor is used for measuring the attention and meditation levels of students. A program is developed in C# medium. The developed program records raw brainwave data, attention and meditation average while the students are studying. As the attention and meditation levels are high, the students learn the subjects in the course. If predetermined meditation and attention level are not caught, the developed program does not give permission to pass to another subject. Because of that the students have less meditation and attention average than the predetermined value; they get fewer grades in the exam.
This study concerns with singularly perturbed systems of second-order reaction-diffusion equations in ODE's. To handle this type of problems, a numerical-asymptotic hybrid method is employed. In this hybrid method...
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