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Many-Body Quantum Field Models for Nonlinear Brain Dynamics
( Asim Islam ) 서울대학교 인지과학연구소 2020 Journal of Cognitive Science Vol.21 No.3
The approach to employing quantum field theory for memory and brain function was first pioneered by Umezawa and Ricciardi in 1967 by comparing brain electrical activity with properties of condensed matter. More formally, by examining the macroscopic properties of Bose gases which arise from microscopic quantum phenomena it can be shown that by extending the concept to many-body systems applied to thermofield dynamics and condensed states it is a natural requirement to employ a dual state. The notion of duality has been extended to a dissipative model by Celeghini, Rasetti and Vitiello and has been further developed to an extensive model for brain dynamics by Vitiello, Freeman, Jibu, Yasue and others. Neuroscientific studies, based on this model, on humans and animals by Freeman and Vitiello have provided new insights into the nature of perception and cognition which for the first time relate electrical patterns directly to thoughts and perception in a formal scientific manner amenable to quantitative analysis. The model is presently the most accurate predictor of the empirical outcomes of a wide range of brain electrical activity and is of growing interest amongst quantum physicists and neuroscientists. From a broader perspective, it may also provide a deeper insight into the elusive nature of human consciousness and proposals have been conjectured by Vitiello, Freeman, Jibu and Yasue. Importantly there does not exist any suitable alternative neural network based model which can adequately explain the empirical data. We review the key elements of the many-body quantum brain model with an emphasis on providing a sound physical basis for the approach and providing compelling rationale for pursuing the model. The goal of this study is to review the dissipative many-body quantum field model of brain dynamics and highlight its key field-theoretic features in relation to the neuroscientific evidence and demonstrate the validity and strengths of the model in the light of recent developments on cerebral cortical electrical ‘forms’ during perception, stabilised by vortices, which agree with that observed by neuroscientists.
HMM-based Scheme for Smart Instructor Activity Recognition in a Lecture Room Environment
Asim Raza,Muhammad Haroon Yousaf,Hassan Ahmed Sial,Gulistan Raja 한국산학기술학회 2015 SmartCR Vol.5 No.6
Instructor activity recognition can certainly play its part as an important parameter in evaluating and improving the performance of an instructor. This paper presents a single-layered sequential approach for instructor activity recognition in the lecture room environment. A hidden Markov model (HMM) scheme is selected as a sequential approach for activity recognition. The proposed system incorporates the five major activities of the instructor in the lecture room, i.e. walking, writing, pointing towards the board, standing, and pointing towards presentations. Background/foreground modelling is carried out using a Gaussian mixture model (GMM) for instructor detection in the lecture room. Mesh features are selected to represent the instructor. After vector quantization, features are passed to the HMM for activity recognition. Time is tracked, and the occurrences of each activity are counted to elaborate on the activities the instructor performed during the lecture. The proposed scheme proved to be efficient owing to its high accuracy rate of over 90 percent in recognizing five different activities of an instructor as tested in a MATLAB simulation environment.
The Working Pressure-Dependent Physical Characteristics of InGaN/GaN/Sapphire Thin Film
Asim Mantarcı 한국전기전자재료학회 2021 Transactions on Electrical and Electronic Material Vol.22 No.5
The working pressure dependency on the vital physical parameters of InGaN thin fi lms obtained with the RFM (Radio Frequency Magnetron) sputter method was investigated in detail here. The electrical conductivity values of our fi lms were bigger than the optical conductivity values, and it was clearly seen that the electrical conductivity parameter was aff ected by the pressure change. The highest and lowest optical conductivity was obtained at 9 and 8 mTorr pressure respectively. The optical band gap energies of our films have varied non-linearly and this variation in the optical band gap energies have been mainly originated from different Indium compositions in the fi lms. XPS results have proved the fi lm has GaN, InN, In2O3, InNxOy bindings. Structural parameters of the material were found to very close to the theoretical values and are compatible with the theory. In essence, the variation of the signifi cant/useful physical parameters of the thin film with the diff erent applied pressures was deeply studied and discussed.
Asim Olgun,Necip Atar 한국공업화학회 2012 Journal of Industrial and Engineering Chemistry Vol.18 No.5
The present study examined the use of waste containing boron impurity (BC) from boron enrichment plant for the removal of lead (II) and nickel (II) from aqueous solutions. The effects of pH, contact time,initial dye concentration, adsorbent dosage, and temperature on the adsorption process were examined. Residual lead and nickel concentration reached in equilibrium in 90 min and the rate of adsorption by BC was rapid in the first 45 min of the reaction time. The pseudo- second-order kinetic model best described the kinetic of the adsorption. Batch adsorption studies showed that the adsorption patterns followed Langmuir isotherm model.
Asim Jilani,Mohammad Omaish Ansari,Ghani ur Rehman,Muhammad Bilal Shakoor,Syed Zajif Hussain,Mohd Hafiz Dzarfan Othman,Sajid Rashid Ahmad,Mohsin Raza Dustgeer,Ahmed Alshahrie 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.109 No.-
The toxic and carcinogenic organic compounds discharge from industries, contaminate the natural reservoirsof water and air which eventually pose a global threat not only to the aquatic life but also to thehumanity. Herein, ternary nanocomposites of silver-nanoparticle (AgNPs)-decorated on polyaniline(Pani)-wrapped zinc oxide nanorods (AgNPs@Pani/ZnO) were prepared via a facile approach. Thenanocomposite degraded 97.91% phenol with an optimized dosage and concentration of H2O2. Moreover, the apparent rate constant for phenol degradation was 3.69 times higher than for pure ZnOnanorods. The hydrogen production from AgNPs@Pani/ZnO was 1.58 and 2.74 times higher than Pani/ZnO and ZnO, respectively. The enhanced phenol degradation and hydrogen production is attributed tothe transfer of holes to the Pani, from which the electrons were transferred to the conduction band ofZnO and eventually to the conduction band of the AgNPs, where they accelerated the redox reactionsfor rapid photolysis of water and phenol. The concentration of the catalyst dosage affected the rate ofphenol degradation. Further, response surface methodology was also applied in order to design 13 setsof random experiments in which the catalyst dosage and degradation time were varied to predict thephenol degradation.
Asim Seedahmed Ali, Osman,Eman Galaleldin Ahmed, Kalil International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.12
Electronic measuring devices have an important role in agricultural projects and in various fields. Electronic measuring devices play a vital role in controlling and saving soil information. They are designed to measure the temperature, acidity and moisture of the soil. In this paper, a new methodology to manage irrigation and soil fertility using an electronic system is proposed. This is designed to operate the electronic irrigation and adds inorganic fertilizers automatically. This paper also explains the concept of remote management and control of agricultural projects using electronic soil measurement devices. The proposed methodology is aimed at managing the electronic irrigation process, reading the moisture percentage, elements of soil and controlling the addition of inorganic fertilizers. The system also helps in sending alert messages to the user when an error occurs in measuring the percentage of soil moisture specified for crop and a warning message when change happens to the fertility of soil as many workers find difficulty in daily checking of soil and operating agricultural machines such as irrigation machine and soil fertilizing machine, especially in large projects.