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Search Results: 1 - 10 of 12 matches for " Sheida Puladi "
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Effects of the Syntactic Complexity on Speech Dysfluency of Stuttering Persian-Speaking Children and Adults in Conversational Speech
Tabassom Azimi,Sheida Puladi,Behrooz Mahmoodi Bakhtiari,Hamid Haghani
Audiology , 2012,
Abstract: Background and Aim: Recently, researchers have increasingly turned to study the relation between stuttering and syntactic complexity. This study investigates the effect of syntactic complexity on theamount of speech dysfluency in stuttering Persian-speaking children and adults in conversational speech. The obtained results can pave the way to a better understanding of stuttering in children andadults, and finding more appropriate treatments.Methods: In this cross-sectional study, the participants were 15 stuttering adult Persian-speakers, older than 15 years, and 15 stuttering child Persian-speakers of 4-6 years of age. In this study, first a 30 minute sample of the spontaneous speech of the participants was provided. Then the utterances of each person were studied in respect to the amount of dysfluency and syntactic complexity. The obtained information was analyzed using paired samples t-test.Results: In both groups of stuttering children and adults, there was a significant difference between the amount of dysfluency of simple and complex sentences (p<0.05).Conclusion: The results of this study showed that an increase in syntactic complexity in conversational speech, increased the amount of dysfluency in stuttering children and adults. Moreover,as a result of increase of syntactic complexity, dysfluency had a greater increase in stuttering children than stuttering adults.
A Comparative Study of Replication Techniques in Grid Computing Systems
Sheida Dayyani,Mohammad Reza Khayyambashi
Computer Science , 2013,
Abstract: Grid Computing is a type of parallel and distributed systems that is designed to provide reliable access to data and computational resources in wide area networks. These resources are distributed in different geographical locations, however are organized to provide an integrated service. Effective data management in today`s enterprise environment is an important issue. Also, Performance is one of the challenges of using these environments. For improving the performance of file access and easing the sharing amongst distributed systems, replication techniques are used. Data replication is a common method used in distributed environments, where essential data is stored in multiple locations, so that a user can access the data from a site in his area. In this paper, we present a survey on basic and new replication techniques that have been proposed by other researchers. After that, we have a full comparative study on these replication strategies. Also, at the end of the paper, we summarize the results and points of these replication techniques.
Picture Collage with Genetic Algorithm and Stereo vision
Hesam Ekhtiyar,Mahdi Sheida,Mahmood Amintoosi
International Journal of Computer Science Issues , 2011,
Abstract: In this paper, a salient region extraction method for creating picture collage based on stereo vision is proposed. Picture collage is a kind of visual image summary to arrange all input images on a given canvas, allowing overlay, to maximize visible visual information. The salient regions of each image are firstly extracted and represented as a depth map. The output picture collage shows as many visible salient regions (without being overlaid by others) from all images as possible. A very efficient Genetic algorithm is used here for the optimization. The experimental results showed the superior performance of the proposed method.
Model based neuro-fuzzy ASR on Texas processor
Hesam Ekhtiyar,Mehdi Sheida,Somaye Sobati Moghadam
International Journal of Computer Science Issues , 2012,
Abstract: In this paper an algorithm for recognizing speech has been proposed. The recognized speech is used to execute related commands which use the MFCC and two kind of classifiers, first one uses MLP and second one uses fuzzy inference system as a classifier. The experimental results demonstrate the high gain and efficiency of the proposed algorithm. We have implemented this system based on graphical design and tested on a fix point digital signal processor (DSP) of 600 MHz, with reference DM6437-EVM of Texas instrument.
The Effect of an Educational Program Based on the Health Belief Model on Self-Efficacy among Patients with Type 2 Diabetes Referred to the Iranian Diabetes Association in 2014  [PDF]
Sheida Vahidi, Sima Esmaeili Shahmirzadi, Davoud Shojaeizadeh, Hamid Haghani, Soghra Nikpour
Journal of Diabetes Mellitus (JDM) , 2015, DOI: 10.4236/jdm.2015.53022
Abstract: Background: Patient self-efficacy is one of the most important factors in treating and overcoming disease. Objective: The aim of this study was to evaluate the effect of an educational program based on the health belief model on self-efficacy among patients with type 2 diabetes referred to the Iranian Diabetes Association in 2014. Method: A randomized controlled clinical trial was conducted. Eighty patients with type 2 diabetes were selected randomly by the double block sample method. They were then divided into two groups of intervention and control (40 patients in each group) by random allocation. Data were collected by a questionnaire based on the Health Belief Model and self-efficacy. The data were gathered two months after the educational program was held. The educational program was designed on the basis of data collected in the pre-test phase. Then, the educational program was executed for the intervention group in 8 sessions (each 30 minutes) using lectures and an educational booklet. Data analysis was done with Chi-square Test, Pearson’s correlation, Independent samples T-test and paired T-test. The significance level was considered at 0.05. Results: Before intervention, no significant difference was detected between the two groups. However, after intervention all variables were significantly different except for perceived threat. Moreover, there were significant linear relationships between Self-efficacy and all Health Belief Model components after the educational intervention in both groups (p < 0.05). Conclusion: The educational program based on the health belief model increased self-efficacy in type 2 diabetes mellitus patients.
Distributed Convex Optimization of Time-Varying Cost Functions with Swarm Tracking Behavior for Continuous-time Dynamics
Salar Rahili,Wei Ren,Sheida Ghapani
Mathematics , 2015,
Abstract: In this paper, a distributed convex optimization problem with swarm tracking behavior is studied for continuous-time multi-agent systems. The agents' task is to drive their center to track an optimal trajectory which minimizes the sum of local time-varying cost functions through local interaction, while maintaining connectivity and avoiding inter-agent collision. Each local cost function is only known to an individual agent and the team's optimal solution is time-varying. Here two cases are considered, single-integrator dynamics and double-integrator dynamics. For each case, a distributed convex optimization algorithm with swarm tracking behavior is proposed where each agent relies only on its own position and the relative positions (and velocities in the double-integrator case) between itself and its neighbors. It is shown that the center of the agents tracks the optimal trajectory, the the connectivity of the agents will be maintained and inter-agent collision is avoided. Finally, numerical examples are included for illustration.
Picture Collage with Genetic Algorithm and Stereo vision
Hesam Ekhtiyar,Mahdi Sheida,Mahmood Amintoosi
Computer Science , 2011,
Abstract: In this paper, a salient region extraction method for creating picture collage based on stereo vision is proposed. Picture collage is a kind of visual image summary to arrange all input images on a given canvas, allowing overlay, to maximize visible visual information. The salient regions of each image are firstly extracted and represented as a depth map. The output picture collage shows as many visible salient regions (without being overlaid by others) from all images as possible. A very efficient Genetic algorithm is used here for the optimization. The experimental results showed the superior performance of the proposed method.
Model based neuro-fuzzy ASR on Texas processor
Hesam Ekhtiyar,Mehdi Sheida,Somaye Sobati Moghadam
Computer Science , 2012,
Abstract: In this paper an algorithm for recognizing speech has been proposed. The recognized speech is used to execute related commands which use the MFCC and two kind of classifiers, first one uses MLP and second one uses fuzzy inference system as a classifier. The experimental results demonstrate the high gain and efficiency of the proposed algorithm. We have implemented this system based on graphical design and tested on a fix point digital signal processor (DSP) of 600 MHz, with reference DM6437-EVM of Texas instrument.
Visualizing Decision Trees in Games to Support Children's Analytic Reasoning: Any Negative Effects on Gameplay?
Robert Haworth,Sousan Sheida Tagh Bostani,Kamran Sedig
International Journal of Computer Games Technology , 2010, DOI: 10.1155/2010/578784
Abstract: The popularity and usage of digital games has increased in recent years, bringing further attention to their design. Some digital games require a significant use of higher order thought processes, such as problem solving and reflective and analytical thinking. Through the use of appropriate and interactive representations, these thought processes could be supported. A visualization of the game's internal structure is an example of this. However, it is unknown whether including these extra representations will have a negative effect on gameplay. To investigate this issue, a digital maze-like game was designed with its underlying structure represented as a decision tree. A qualitative, exploratory study with children was performed to examine whether the tree supported their thought processes and what effects, if any, the tree had on gameplay. This paper reports the findings of this research and discusses the implications for the design of games in general. 1. Introduction Digital games have become a significant force, not only in popular culture but also in the commercial market place. Popular games can sell millions of copies each, with revenue from the digital game industry reaching billions of dollars [1, 2]. However, there is concern about the impact digital games may have on players, particularly on children [3, 4]. Although only a quarter of all those who play digital games in the United States are children [2], they still spend an average of nine hours of their leisure time per week playing digital games [3]. Several studies have indicated that digital games can positively or negatively affect both physical as well as mental capabilities of players [4–6]. Currently, there is great hope that games can play an important role in promoting the highly-valued skills of the 21st century, namely, expert problem solving and complex communication [7]. In this paper we are interested in the design of digital games that promote mindful, analytical reasoning skills. Previous research indicates that strategies can be incorporated in digital games that support players’ higher-order thought processes, such as analytical thinking and reasoning [8]. One design strategy that may affect players’ reasoning in a digital game is incorporating visual structures in the game through which play is mediated [8, 9]. Designing a game in this manner may change how players approach it, and thus may actually impact the resulting gameplay. If we are going to design digital games that prepare the next generation of players who are critical thinkers, one of the research questions
Predicting Physical Well-Being after Bone Marrow Transplantation in Patients with Acute Leukemia Based on Perceived Social Support
Sheida Sodagar,Hassan Ahadi,Farhad Jomehri,Mehdi Rahgozar
Zahedan Journal of Research in Medical Sciences , 2012,
Abstract: Background: The present study focused on investigation perceived social support in predicting physical well-being after bone marrow transplantation (BMT) in patients with acute leukemia. Materials and Methods: Pre-BMT, psychosocial data were gathered on 58 patients (38 men and 20 women) between 18-45 years that selected during 13 months via census procedure. Then, physical well-being was followed up one, two and three months post-BMT.Results: Results showed that some of dimensions of perceived social support predicted physical well-being after BMT.Conclusion: In general, Attention to psychosocial factors prior to BMT and during recovery appears critical for physical well-being.
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