This is the fourth issue of 2011.
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BRAINovations
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Authors:
Seyed Mohammadreza
Kasaei
, Kamal
Jamshidi
, Seyed Amir
Monajemi
Abstract:
Unmanned Aerial Vehicles (UAVs) are the subject of an increasing interest in many applications . UAVs are seeing more widespread use in military, scenic, and civilian sectors in recent years. Autonomy is one of the major advantages of these vehicles. It is then necessary to develop particular sensor in order to provide efficient navigation functions. The helicopter has been stabilized with visual information through the control loop. Omni directional vision can be a useful sensor for this propose. It can be used as the only sensor or as complementary sensor. In this paper , we propose a novel method for path planning on an UAV based on electrical potential .We are using an omni directional vision system for navigating and path planning.
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Authors:
Boris
Sunik
Abstract:
This definition can be applied to information of every kind, level and complexity. Information is considered as the feature manifesting itself in the relations between certain real world
entities. The real world has to be seen in terms of objects, actions, relations and properties.. The defintion is used as the basis of the Theory of Meaningful Information [1] that explains the nature and functionality of information and enables the production of relevant definitions regarding language and knowledge, which remain operative also in the case of non-human languages and
knowledge systems.
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Authors:
Nabil
M. Hewahi
, Abdul Rhman
M. Baraka
Abstract:
We claim that knowing the ethnic group of human would increase the accuracy of the emotion recognition. This is due to the difference between the face appearances and expressions of
various ethnic groups. To test our claim, we developed an approach based on Artificial Neural Networks (ANN) using backpropgation algorithm to recognize the human emotion through facial expressions. Our approach has been tested by using MSDEF dataset, and we found that, there is a positive effect on the accuracy of the recognition of emotion if we consider the ethnic group as input factor while building the recognition model. We achieved 8% improvement rate.
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Authors:
Seyed Hamidreza
Kasaei
, Seyed Mohammadreza
Kasaei
, Seyed Alireza
Kasaei
Abstract:
The design of a multi-agent system for integrated management of greenhouse production is described. The model supports the integrated greenhouse production, with targets set to quality and quantity of produce with the minimum possible cost in resources and environmental consequences.
In this paper, we propose a real time and robust system for monitoring and control of the greenhouse condition which can automatically control of greenhouse temperature, lights, humidity, CO2 concentration, sunshine, pH, salinity, water available, soil temperature and soil nutrient for efficient production. We will propose a multi-agent methodology for integrated management systems in greenhouses. In this regards wireless sensor networks play a vital role to monitor
greenhouse and environment parameters. Each control process of the greenhouse environment is modeled as an autonomous agent with its own inputs, outputs and its own interactions with the other agents. Each agent acts autonomously, as it knows a priori the desired environmental setpoints. Many researchers have been making attempts to develop the greenhouse environment management system. The existing environment management systems are bulky, very costly and difficult to maintain. In the last years, Multi Agent Systems and Wireless Sensor Networks are becoming important solutions to this problem. This paper describes the implementation and
configuration of the wireless sensor network to monitor and control various parameter of greenhouse. The developed system is simple, cost effective, and easily installable.
BRAINStorming
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Authors:
Laleh
Fakhraee Faruji
Abstract:
Fundamental breakthroughs in the neurosciences, combined with technical innovations for measuring brain activity, are shedding new light on the neural basis of second language (L2)
processing, and on its relationship to native language processing (L1) (Perani & Abutalebi, 2005). Over the past two decades, a large body of neuroimaging studies has been devoted to the study of the neural organization of language (De´monet, Thierry, & Cardebat, 2005; Indefrey & Levelt, 2004; Price, 2000 as cited in Abutalebi, 2008). The value that functional neuroimaging adds to language research is to improve the perspective on the distributed anatomy of language. Thus, it can be used with considerable precision to identify the neural networks underlying the different domains of language processing. In this paper some main issues related to neurolinguistics and second language acquisition with a focus on bilingualism will be discussed.
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Authors:
Nabil
M. Hewahi
Abstract:
Hidden Markov Model (HMM) is a statistical model based on probabilities. HMM is becoming one of the major models involved in many applications such as natural language
processing, handwritten recognition, image processing, prediction systems and many more. In this research we are concerned with finding out the best HMM for a certain application domain. We propose a neuroevolution process that is based first on converting the HMM to a neural network, then generating many neural networks at random where each represents a HMM. We proceed by
applying genetic operators to obtain new set of neural networks where each represents HMMs, and updating the population. Finally select the best neural network based on a fitness function.
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Authors:
Ali
Jahangard
, Hossein
Movassagh
Abstract:
The present study aimed at investigating whether the amount of task-induced involvement load has any effects on the immediate and delayed retentions of words in an intentional learning environment. To meet this end, two groups of college students were selected as the participants of the study. The immediate and delayed retentions of ten unknown words were measured in two learning tasks (reading comprehension vs. reading comprehension plus sentence production) which induced different amounts of involvement loads. The time-on-task also differed in the two groups. No significant difference was found between the two groups on the immediate retention tests. However, the results demonstrated that the group with higher involvement load significantly outperformed the group with lower involvement load on the delayed post-tests. The theoretical and pedagogical implications are also discussed.
Lecture BRAINotes
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Authors:
Majid
Farahian
Abstract:
The number of words a native speaker of a language knows is incredibly vast. However, this is not just word that represents mental lexicon. Words have properties to which in a very complex way they are associated. This paper reviews the related literature and different perspectives on what mental lexicon is, what is its organization, how words are related in the mental lexicon. It has also been discussed how second language mental lexicon is stored in the brain.
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Authors:
Naeemeh
Kharaghani
Abstract:
In ACT R, activation is defined as the degree to which past experiences and current context indicate that chunk will be useful at any particular moment. To find whether activation is a voluntary task or not different views were discussed. It was found that the concept of voluntary should be discussed by taking automatic and controlled processing into consideration. Finally it was mentioned that activation could be both voluntary and involuntary task .However its 'degrees vary depending on the type of process.
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Authors:
Mehrdad
Rezaee
Abstract:
Until recently, it was believed that to learn/teach another language, it is sufficient for a person to know the grammar of another language in detail, have a good command of its vocabulary, and be able to pronounce the words, phrases and sentences well. However, later it turned out not to be so easy since more important issues were discovered which made the learning/teaching of another language (SL/FL) more challenging than what it was previously thought. These issues are the social and the cultural aspects of L2/FL, the combination of which makes the sociocultural aspects of language learning and teaching. This means that, the circumstances under which we live, together with the symbols, symbolic tools, and signs we use to mediate and regulate our relationships with others, and with ourselves which make sociocultural theory are important issues for learning L2/FL. Later, the three generations of psycholinguistics are provided, the third generation of which is sociocultural theory together with the important notions of each generation. Finally, three educational implications of sociocultural theory are provided.
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