fixed

Open Access Article

1 - A comparison of Calculated Fixed Radius and Numerical Model Methods to delineate drinking water wellheads protection area in Yaft Abad district, Tehran
بهزاد دلخواهي

Delineation of wellhead protection area is an important component of groundwater protection strategies to prevent probable environmental and health hazards. In this study, besides describing the calculated fixed radius (CFR) and the numerical model methods to determine More

Delineation of wellhead protection area is an important component of groundwater protection strategies to prevent probable environmental and health hazards. In this study, besides describing the calculated fixed radius (CFR) and the numerical model methods to determine the wellhead protection area, in order to compare of the methods, were used from data of eight number of drinking water wells in Yaft Abad district of Tehran. For this purpose, overlapping rate of CFR and numerical model protection areas in GIS environment were analyzed. The overlapping results show increasing distance from the wells, the effectiveness and accuracy of CFR method decreases rapidly. In the 50 days time of travel overlay, 88 percent of the numerical model areas are captured by the CFR areas. While in the 10 years overlay, only 41 percent of the numerical model areas are captured by the CFR areas. When time, money and data are limited, the Calculated Fixed Radius method is an acceptable method only to delineate the 50 days time of travel protection areas. Manuscript profile

Open Access Article

2 - Fusion of Learning Automata to Optimize Multi-constraint Problem
Sara Motamed Ali Ahmadi

10.7508/jist.2015.01.003

This paper aims to introduce an effective classification method of learning for partitioning the data in statistical spaces. The work is based on using multi-constraint partitioning on the stochastic learning automata. Stochastic learning automata with fixed or variable More

This paper aims to introduce an effective classification method of learning for partitioning the data in statistical spaces. The work is based on using multi-constraint partitioning on the stochastic learning automata. Stochastic learning automata with fixed or variable structures are a reinforcement learning method. Having no information about optimized operation, such models try to find an answer to a problem. Converging speed in such algorithms in solving different problems and their route to the answer is so that they produce a proper condition if the answer is obtained. However, despite all tricks to prevent the algorithm involvement with local optimal, the algorithms do not perform well for problems with a lot of spread local optimal points and give no good answer. In this paper, the fusion of stochastic learning automata algorithms has been used to solve given problems and provide a centralized control mechanism. Looking at the results, is found that the recommended algorithm for partitioning constraints and finding optimization problems are suitable in terms of time and speed, and given a large number of samples, yield a learning rate of 97.92%. In addition, the test results clearly indicate increased accuracy and significant efficiency of recommended systems compared with single model systems based on different methods of learning automata. Manuscript profile

Open Access Article

3 - Speech Emotion Recognition Based on Fusion Method
Sara Motamed Saeed Setayeshi Azam Rabiee Arash Sharifi

10.7508/jist.2017.17.007

Speech emotion signals are the quickest and most neutral method in individuals’ relationships, leading researchers to develop speech emotion signal as a quick and efficient technique to communicate between man and machine. This paper introduces a new classification meth More

Speech emotion signals are the quickest and most neutral method in individuals’ relationships, leading researchers to develop speech emotion signal as a quick and efficient technique to communicate between man and machine. This paper introduces a new classification method using multi-constraints partitioning approach on emotional speech signals. To classify the rate of speech emotion signals, the features vectors are extracted using Mel frequency Cepstrum coefficient (MFCC) and auto correlation function coefficient (ACFC) and a combination of these two models. This study found the way that features’ number and fusion method can impress in the rate of emotional speech recognition. The proposed model has been compared with MLP model of recognition. Results revealed that the proposed algorithm has a powerful capability to identify and explore human emotion. Manuscript profile

Open Access Article

4 - Fixed-Time Consensus of Fractional-Order Single Integrator Multi-Agent Systems
Hossein Zamani وحيد جوهري مجد Khosro Khandani

The problem of consensus in fractional order single-integrator multi-agent systems has been studied in this paper. The effect of memory is considered using the Riemann-Liouville fractional derivative in the dynamics of the agents. In order to achieve convergence among t More

The problem of consensus in fractional order single-integrator multi-agent systems has been studied in this paper. The effect of memory is considered using the Riemann-Liouville fractional derivative in the dynamics of the agents. In order to achieve convergence among the agents, a fractional order control protocol based on the error signal between neighboring agents is proposed. Using Lyapunov's stability theorem, a Lyapunov function is introduced that shows that the agents converge over a specified settling time and the upper bound of the settling time is obtained. The merit of the proposed bound for the settling time is that it is independent of the initial conditions. Finally, some simulations are provided to confirm the introduced method. Manuscript profile

Open Access Article

5 - Myth of Peripatetic Hyle in the Transcendent Philosophy
Mohammad Reza Noornohammadi

The philosophical analysis of the changes in natural bodies led Peripatetic philosophers to the notion of hyle, which is a substance that essentially lacks actuality and remains fixed in the process of change. Peripatetic philosophers have employed this notion in many p More

The philosophical analysis of the changes in natural bodies led Peripatetic philosophers to the notion of hyle, which is a substance that essentially lacks actuality and remains fixed in the process of change. Peripatetic philosophers have employed this notion in many philosophical debates, including the famous division of existents into material and immaterial groups. Nevertheless, despite their emphasis upon this notion, Suhrawardī denied the existence of the Peripatetic hyle. Mullā Ṣadrā has not explicitly explained his views of hyle in any of his works; however, a careful study of his works and, particularly, philosophical principles indicates that the peripatetic hyle is not acceptable in the Transcendent Philosophy. In fact, some contemporary philosophers have even found the idea of the Peripatetic hyle to be self-contradictory within the framework of the Transcendent Philosophy. At the same time, the words hyle and matter are frequently used in Mullā Ṣadrā’s works because, apart from cases in which he explains the views of earlier philosophers, he also believes in a kind of hyle that should be called the “analytic hyle”. This kind of hyle is a secondary philosophical intelligible that is abstracted from the analysis of the trans-substantial motion. It bears a unity with from and can be used as a basis for the division of existence into fixed and fluid categories. Manuscript profile

Open Access Article

6 - The Role of Financial Innovation on the Economic Growth of Developed and Developing Countries Based on Schumpeter's Growth Model
Arsham Hodaei Mohamad Reza Farzin Karim emami jeze farhad ghaffari

In the world, most of the national economies have experienced economic stagnation after the financial crisis. This has raised the need to examine the impact of financial innovation and economic growth to protect countries from problems that may arise from financial sect More

In the world, most of the national economies have experienced economic stagnation after the financial crisis. This has raised the need to examine the impact of financial innovation and economic growth to protect countries from problems that may arise from financial sector market failures. With the growth in the global economy, it is one of the basic factors of financial innovation that is observed in developed and developing countries and creates fruitful results for the economy. The relationship between financial innovation and economic growth during the last few decades is one of the topics of concern for economists. In this study, using the PMG test, we test the effect of financial innovation indicators on economic growth in developed and developing countries for the period from 2000 to 2022. Three proxy variables have been used to calculate financial innovation: liquidity to the volume of money in circulation (M2/M1), bank credit to the private sector, and a proxy with mobile phone penetration is used to calculate the number of active internet subscribers to the population. In developed countries, in the long run, all the coefficients except the inflation rate are significant at the level of 5%. The effect of government spending, gross capital formation and trade liberalization on economic growth has been positive. The coefficients of M2/M1 and mobile phone penetration are negative and the reliability coefficient is positive. In developing countries, coefficients of M2/M1 and mobile phone penetration are negative and credits are positive. Financial innovation indicators M2/M1 and mobile phone penetration rate (MB) have a negative effect on economic growth. The growth of innovation cannot be the basis of economic development for developing economies; Because the infrastructure is not available in these countries. Manuscript profile

Open Access Article

7 - The Role of Financial Innovation on the Economic Growth of Developed and Developing Countries Based on Schumpeter's Growth Model
Arsham Hodaei Mohamad Reza Farzin Karim emami jeze farhad ghaffari

Arsham Hedaei Mohammad Reza Farzin Karim Emami Jazeh Farhad Ghaffari Abstract In the world, most of the national economies have experienced economic stagnation after the financial crisis. This has raised the need to examine the impact of financial innova More

Arsham Hedaei Mohammad Reza Farzin Karim Emami Jazeh Farhad Ghaffari Abstract In the world, most of the national economies have experienced economic stagnation after the financial crisis. This has raised the need to examine the impact of financial innovation and economic growth to protect countries from problems that may arise from financial sector market failures. With the growth in the global economy, it is one of the basic factors of financial innovation that is observed in developed and developing countries and creates fruitful results for the economy. The relationship between financial innovation and economic growth during the last few decades is one of the topics of concern for economists. In this study, using the PMG test, we test the effect of financial innovation indicators on economic growth in developed and developing countries for the period from 2000 to 2022. Three proxy variables have been used to calculate financial innovation: liquidity to the volume of money in circulation (M2/M1), bank credit to the private sector, and a proxy with mobile phone penetration is used to calculate the number of active internet subscribers to the population. In developed countries, in the long run, all the coefficients except the inflation rate are significant at the level of 5%. The effect of government spending, gross capital formation and trade liberalization on economic growth has been positive. The coefficients of M2/M1 and mobile phone penetration are negative and the reliability coefficient is positive. In developing countries, coefficients of M2/M1 and mobile phone penetration are negative and credits are positive. Financial innovation indicators M2/M1 and mobile phone penetration rate (MB) have a negative effect on economic growth. The growth of innovation cannot be the basis of economic development for developing economies; Because the infrastructure is not available in these countries. Manuscript profile

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