Abstract Intuition is one of the characteristics of entrepreneurs and an important factor in the decision-making processes of entrepreneurs. In recent years, at the same time as the development of entrepreneurship as an interdisciplinary science, intuition and providing different definitions of it have not been noticed by researchers and researchers in this field, and many researches have not been written in this field. This is despite the fact that in other fields of humanities, especially management (with which entrepreneurship is closely related), basic sciences and even medical sciences, there is a suitable background and theoretical literature about this. On the other hand, it seems that the theoretical and epistemological foundations of this concept have not been researched as much as necessary in the few researches that have been conducted, and very little research has been done in this field. In this article, firstly, the definitions and researches about intuition are reviewed, and secondly, the little researches that have been done in entrepreneurship and its relationship with other sciences are discussed.

The main task of the study is to estimate the Position error in an inertial navigation system by integrating it with the visual system. The case study is a spacecraft that must accurately measure its Position relative to a predetermined landing point. The spacecraft is assumed to be augmented GNSS navigation. Therefore, when satellite signals are dropped out or when landing on a moving marine platform, the data of the vision navigation system replaces the information of the satellite navigation system and improves the accuracy of the spacecraft navigation system. An Extended Kalman filter has been used to integrate inertial and vision navigation system information. In addition, the output data of the vision system, in order to be used in the Kalman filter measurement equations, is first processed by the recursive least square filter. The relevant relations are given and based on the results of software simulation, the efficiency of the proposed method is shown.

To estimate the unknown parameters in a linear model in which the observations are linear functions of the unknowns, one of the conventional methods is the least-square Estimation. The best linear unbiased Estimation (BLUE) is achieved when the inverse of the variance covariance matrix of the observables is considered as the weight matrix in the Estimation process. Therefore having a realistic assessment of the precision of the observations is an important issue. One of the methods to reach this goal is the use of the least-square variance component Estimation (LS-VCE). However, in this method, it is not impossible to estimate negative variances. But, they are not acceptable from the statistical point of view. In this paper, numerical methods such as genetic algorithm and also iterative methods based on LS-VCE are presented for non-negative Estimation of variance components. By using non-negative variance components Estimation methods not only one guarantees the non-negative variance components but also one can investigate to incorporate different noise components into the stochastic model. Those components that are not likely present are automatically estimated zeros. In this paper, using the above-mentioned methods, we assess the noise characteristics of time series of GPS permanent stations. The data used in this research are the coordinates of IGS stations located in Mehrabad-Tehran and also two other stations in Ahvaz and Mashhad (2005-2010). To deal with this amount of data, the iterative methods are superior over the numerical methods such as the genetic algorithm. The results indicate the noise of GPS Position time series are a combination of white noise plus flicker noise, and in some cases combined with random walk noise.

In this article, an attempt has been made to estimate the amount of sound transmission loss in a flat oval channel by applying the approach of statistical energy analysis. Correct Estimation of sound transmission loss in an air conditioning channel is of great importance due to the harmful effects of noise pollution in the environment on human health. Simulation with the statistical energy analysis method is a powerful approach to estimate sound and vibration in problems in which we deal with complex and multi-part systems; is considered. In this method, first, a system is divided into several subsystems, and then by writing a matrix equation that includes the energy exchanges between subsystems and energy loss coefficients; It is investigated from the perspective of vibration and sound Estimation.On average, the model presented in this research is able to estimate the sound transmission loss in different dimensions of the air conditioning channels according to the experimental results in the accuracy range of ± 2.5 dB. Considering that it seems that the results obtained from modeling with this method are in good agreement with the experimental data; The results of this research can be used as an efficient approach to estimate noise in oval shaped channels stretched in different lengths.

The purpose of this article is to estimate the Position of sound sources. The proposed method uses two acoustic vector sensors in such a way that the intersection of the rays of each acoustic vector sensor (AVS) obtained from their azimuth angle shows the Position of a source. Since in practice the sound sources are non-point, then the Estimation of the Position using this method indicates the area where there is a possibility of the presence of the sound source. In this article, the effect of different parameters on the Estimation error of the sound source Position is investigated. One of the most important parameters is the rotation angle of the sound source. The obtained results show how the Position Estimation error changes under what conditions and parameters. This helps to provide the best conditions for estimating the Position of the sound source with the least error. The error in Position Estimation depends on the size of the sound source, the distance of the source to the AVS, the distance of the two sensors from each other, and the angle of the source to the sensors. The proposed method is used in identifying sound sources, especially in military industries and estimating the Position of moving sound sources such as road vehicles.

This study aimed to estimate the genetic parameters of body weight traits in Markhoz goats, using B-spline random regression models. The data used in this study included 19549 records collected during 29 years (1992-2021) in Markhoz goat Breeding Research Station, located in Sanandaj, Iran. The model used to analyze data included fixed effects (year of birth, sex, type of birth and age of dam) and random effects including direct additive genetic, maternal additive genetic, permanent environmental and maternal permanent environmental assuming homogeneous and heterogeneous residual variance during the time. Akaike (BIC) and Bayesian (BIC) information criteria were used to compare the models and bspq.4.4.4.4 was selected as the best model. The direct heritability values for birth, 3-month, 6-month, 9-month and 12-month weights were estimated to be 0.14, 0.16, 0.08, 0.28 and 0.26, respectively. Genetic correlation between body weights at birth and 3-month, birth and 6-month, birth and 9-month, birth and 12-month, 3-month and 6-month, 3-month and 9-month, 3-month and 12-month, 6-months and 9-month and 9-month and 12-month were 0.22, 0.38, 0.21, 0.56, -0.26, 0.30, 0.62, 0.86 and 0.77, respectively. The highest phenotypic correlation was between the weight of 9-month and 12-month (0.82) and the lowest correlation was between birth weight and 3-month and 6-month (0.12). The results showed that the 9-month weight is a good criterion for selection in Markhoz goats.

Permanent Magnet Synchronous Machines (PMSM) are increasingly used because of their advantages over other machines, which include compactness, high efficiency, and well developed drives.. The substitution of the Position sensors by advanced algorithms embedded in the controls hardware and software has been investigated for the last couple of decades. This Paper presents the modeling, analysis, design and experimental validation of a robust sensor less control method for PMSM based on Extended Kalman Filter. The Position/speed sensor less control scheme along with the power electronic circuitry is modeled. The performance of the proposed control is assessed and verified for different types of dynamic and static torque loads.

This paper concerns locational finding in broadband wireless networks in corporating OFDMA technique at the plysical layer. In this regard, a novel Estimation method is proposed to find the Position of active users. This method makes use of the power spectral density of the received signal from a specific user to compare its likelihood to that of some reference points. Despite the conventional method which performs well in a single path environment, the proposed method not only robusts in a muli-path environment, but also it inherently incorporates path delay spreads to find the location of exiting users. Simulation results indicate that the mean Estimation error in the wimax network operation is around 11 meters at 3.5 Ghz with 5 Mhz bandwidth and when reference points are 26.4 meters apart relying on SUI model.

Rural communities are the parts of related to forest that their wrong function is make destruction the forest. Therefore is necessary be considered the problems of rural communities and their dependence on forest and accuracy management done in this case. Therefore this study been investigated dependence to forest Korchi village located in noor city. Method of collection data has been rapid assessment by interviewed technique. Thus balance costs and income, per capita was calculated for each person. According to data from field operations, have been established kind and amount of dependence people to forests. The results showed that except for households that have done sold land, others are below the poverty line. grazing, preparation fulewood and piling, harvest fruit, Bee breeding and change land use forest are dependent people to forest. forest usage per person was calculated equals 23739846 rials a year. Since that operations such as Bee breeding for forest is not harmful, so it is recommended that be provided the necessary facilities for this rural affairs.