نتایج جستجو برای: intelligent network
تعداد نتایج: 731946 فیلتر نتایج به سال:
Although various research efforts have reported some success in solving difficult problems related to intelligent environments, very little progress has been made in implementing a truly intelligent system in reality. This paper looks at intelligent environments from a networking and connectivity point of view in order to gain a fresh perspective. First, we review intelligent environment qualit...
allocation and removing of excess water from the irrigation and drainage network is one of the most important activities in the management of these networks. side weir is one of the most common structures for this purpose. study on the flow hydraulic characteristics of this structure included two parts, defining the water surface profiles and estimating the discharge coefficient. to estimate th...
Artificial neural networks are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the efficiency of a neural network for predicting the survival of patients with acute pancreatitis is compared with days-of-survival obtained from patients. A three- layer back-propagation neural network was developed for this purpose. Clinical data (e.g...
The systems in which information and communication technologies and systems engineering concepts are utilized to develop and improve transportation systems of all kinds are called “The Intelligent Transportation Systems (ITS)”. ITS integrates information, communications, computers and other technologies and uses them in the field of transportation to build an integrated system of people, roads ...
In this work, the dispersed phase holdup in a Kühni extraction column is predicted using intelligent methods and a new empirical correlation. Intelligent techniques, including multilayer perceptron and radial basis functions network are used in the prediction of the dispersed phase holdup. To design the network structure and train and test the networks, 174 sets of experimental data are used. T...
Selecting appropriate inputs for intelligent models is important due to reduce costs and save time and increase accuracy and efficiency of models. The purpose of this study is using Shannon entropy to select the optimum combination of input variables in time series modeling. Monthly time series of precipitation, temperature and radiation in the period of 1982-2010 was used from Tabriz synoptic ...
This paper presents a new hybrid method for optimal multi-objective reconfiguration in a distribution feeder in addition to determining the optimal size and location of multiple-Distributed Generation (DG). The purposes of this research are mitigation of losses, improving the voltage profile and equalizing the feeder load balancing in distribution systems. To reduce the search space, the improv...
Artificial intelligent tools such as expert systems, artificial neural network and fuzzy logic support decision-making are being used in intelligent manufacturing systems. Success of intelligent manufacturing systems depends on effective and efficient utilization of intelligent tools. Weld residual stress depends on different process parameters and its prediction and control is a challenge to t...
We propose, in this paper, a new ontology for network forensics analysis. The proposed ontology is the first cyber forensics to integrate both network forensics domain knowledge and problem solving knowledge. As such it can be used as a knowledge-base for developing sophisticated intelligent network forensics systems to support complex chain of reasoning. We use a real life network intrusion sc...
The Intelligent Network (IN) architecture promises easy development and fast deployment of sophisticated communication services. In this paper, we present the results of our research in the area of Intelligent Multimedia Services. One of the main results has been the evaluation of novel multimedia services operating over different network platforms. One of the new services being designed is a M...
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