This paper aims to develop multi-objective optimized control methods improve the performance of retrofitting building heating systems in reducing consumed energy as well providing comfortable temperature a multi-zone building. While researchers evaluate various controllers specific systems, comprehensive controller for existing buildings is less investigated. A case study approach with four-sto...

Background and aims: Depression disorder is one of the most common diseases, but the diagnosis is widely complicated and controversial because of interventions, overlapping and confusing nature of the disease. So, keeping previous patients’ profile seems effective for diagnosis and treatment of present patients. Use of this memory is latent in synthetic neuro-fuzzy algorithm. P...

The typical system identi cation procedure requires powerful and versatile software means. In this paper we describe and exemplify the use of a prototype identi cation software tool, applicable for the rather broad class of multi input single output model structures with regressors that are formed by delayed inand outputs. Interesting special instances of this model structure category include, ...

Brain is well protected inside the hard and bony skull that hampers the study of its functions as well as makes the diagnosis of brain diseases more difficult and challenging. In this paper we perform review study on brain tumor detection from Magnetic Resonance Image (MRI). Stages for brain tumor detection using MR image are Pre-processing, Segmentation, Feature Extraction, Classification. The...

One of the major problems faced by the oilfields in the middle time is casing damage. The neural network, the improvement BP as well as the three-layer feed forward neural network applied in damage diagnosis is a key way to prevent damage. The formations of the damage are corresponded to the input vector. Factors such as casing age limit, strata stress, soaking time are described as real Number...

In this article we describe the joint effort of experts in linguistics, information extraction and risk assessment to integrate EventSpotter, an automatic event extraction engine, into ADAC, an automated early warning system. By detecting as early as possible weak signals of emerging risks ADAC provides a dynamic synthetic picture of situations involving risk. The ADAC system calculates risk on...