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Recently, it has been shown that in a cache-enabled interference channel, the storage at the transmit and receive sides are of equal value in terms of Degrees of Freedom (DoF). This is derived by assuming full Channel State Information at the Transmitter (CSIT). In this paper, we consider a more practical scenario, where a training/feedback phase should exist for obtaining CSIT, during which instantaneous...
In this paper, an approach for increasing the sustainability of inverter-based memristive neuromorphic circuits in the presence of process variation is presented. The approach works based on extracting the impact of process variations on the neurons characteristics during the test phase through a proposed algorithm. In this method, first, some combinations of inputs and weights (based on the neuromorphic...
Multi-electrode intracranial recording technology is highly required for various applications such as brain studies, brain machine interface (BMI) and treatment of disorders like epilepsy, memory loss and paralysis. The recording is done by inserting electrodes into the extracellular tissue of the brain to supposedly record the single-unit activity. However, the recorded signal is the summation of...
Vector quantization (VQ) is a fast and simple classification algorithm that has been widely employed for the recognition of isolated spoken words. However, this algorithm and most of its improved versions fail to accurately distinguish words with similar vowels. The spoken pattern of digits/dow/ and/noh/ (2 and 9 respectively) in Persian is a good example for this type of similarity. In this paper...
In this study, seismic attributes have been used to estimate well logs in one of the Iranian petroleum reservoirs. Three static methods have been evaluated: the linear model, the multilayer perceptron (MLP) and the radial basis function (RBF). For linear case, the selection of appropriate attributes was determined by forward selection and for nonlinear one, the selection was based on the genetic algorithm...
In this study, a novel method for estimating wrist forces from surface electromyogram (EMG) measured from the upper limb is proposed, which can be applied for unilateral transradial amputees. Three degrees of freedom (DoFs) of wrist including flexion-extension, abduction-adduction, and pronation-supination were used. We first classify feature vectors extracted from the EMG signals into three classes...
Multiple classifier systems, also known as classifier ensembles, have received great attention in recent years because of their improved classification accuracy in different applications. In this paper, we propose a new general approach to ensemble classification, named generic subclass ensemble, in which each base classifier is trained with data belonging to a subset of classes, and thus discriminates...
The goal of physiological computing, i.e. brain-computer interface (BCI) is to transform bioelectrical signals from the human nervous system into computer in order to enhance and enrich the interactive experience. In this line, effect of electroencephalographic rhythm feedback (EEG biofeedback) has been investigated on different domains of cognitive functioning of Attention-deficit/hyperactivity disorder...
Despite the numerous advantages of knowledge management (KM), its implementation is perceived to be a difficult and complex task. As a result, many enterprises fail to implement KM successfully. Therefore a deep and systematic assessment of the influencing factors is needed. The objective of this paper is to identify and analyze a set of critical success factors (CSFs) for KM implementation in Iranian...
Nowadays, many researches are made to estimate some of socio-economic variables in which methods such as regression, time series (ARIMA, AR and etc.), Artificial Neural Networks (ANN) and so on are used. In this paper integrated System Approach and ANN are applied for estimating affects of subsidy on electricity consumption and social welfare. Actual electricity price is estimated by ANN, which has...
This paper proposes an emotional stress recognition system with EEG signals using higher order spectra (HOS). A visual induction based acquisition protocol is designed for recording the EEG signals in five channels (FP1, FP2, T3, T4 and Pz) under two emotional stress states of participants, Calm neutral and Negatively exited. After pre-processing the signals, higher order spectra are employed to extract...
This paper proposes a new emotional stress recognition system using multi-modal bio-signals. Since electroencephalogram (EEG) is the reflection of brain activity and is widely used in clinical diagnosis and biomedical research, it is used as the main signal. In order to choose the proper EEG channels we used the cognitive model of the brain under emotional stress. We designed an efficient acquisition...
This paper proposed a new image Steganalysis scheme based on statistical moments of histogram of multi-level wavelet subbands in frequency domain. These wavelet subbands derived from an image that has some of least significant bits of the grey level test image and some of its most significant bit planes are removed. Then we decompose the image using three-level Haar discrete wavelet transform (DWT)...
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