In the current era of technology, the Internet and web technologies become the center source of information. Due to the huge amount of contents, one of the main challenges of modern informationtechnology is aimed at ...
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Models of fermions interacting with classical degrees of freedom are applied to a large variety of systems in condensed matter physics. For this class of models, Weiße [Phys. Rev. Lett. 102, 150604 (2009)] has re...
Models of fermions interacting with classical degrees of freedom are applied to a large variety of systems in condensed matter physics. For this class of models, Weiße [Phys. Rev. Lett. 102, 150604 (2009)] has recently proposed a very efficient numerical method, called O(N) Green-Function-Based Monte Carlo (GFMC) method, where a kernel polynomial expansion technique is used to avoid the full numerical diagonalization of the fermion Hamiltonian matrix of size N, which usually costs O(N3) computational complexity. Motivated by this background, in this paper we apply the GFMC method to the double exchange model in three spatial dimensions. We mainly focus on the implementation of GFMC method using both MPI on a CPU-based cluster and Nvidia's Compute Unified Device Architecture (CUDA) programming techniques on a GPU-based (Graphics Processing Unit based) cluster. The time complexity of the algorithm and the parallel implementation details on the clusters are discussed. We also show the performance scaling for increasing Hamiltonian matrix size and increasing number of nodes, respectively. The performance evaluation indicates that for a 323 Hamiltonian a single GPU shows higher performance equivalent to more than 30 CPU cores parallelized using MPI.
These days, intelligence is one of the features of software agents. However, developing this feature via a systematic software engineering approach suffers from some shortages. One of the open issues is related to spe...
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These days, intelligence is one of the features of software agents. However, developing this feature via a systematic software engineering approach suffers from some shortages. One of the open issues is related to specifying intelligence features that are expected from intelligent agents. The source of the problem is different definitions of intelligence that are presented from different perspectives. Consequently, there is not a predefined set of characteristics for intelligence that can be used as a baseline for specifying intelligence requirements of the system. As a result, intelligence is defined (or interpreted) differently between various stakeholders of the system. This will lead to the ambiguity of the requirements, which is the source of serious problems in developing software systems. In this paper, we look at intelligence of agents from a software engineering point of view. In this way, we analyze more than 70 different definitions of intelligence (in different areas such as public notions, psychology and AI) to extract different characteristics that are considered as features of intelligence. By eliminating non-computational capabilities of intelligence, we investigate a set of characteristics of computational intelligence. In this way, we use a quantitative approach. We rank identified characteristics according to the frequency of their appearance in various definitions. The result is that learning, adaptation to new situations and environment, goal-orientation, problem solving, acquiring and using knowledge and reasoning are the top ranked issues of intelligence. Because the extracted features belong to different levels of abstraction, we classify them into four groups that are non-functional, general capabilities, basic AI techniques and Infrastructural. In addition, we investigate the relationship between intelligence characteristics (e.g. learning) and the other quality attributes of software systems.
The standard reinforcement learning algorithms have proven to be effective tools for letting an agent learn from its experiences generated by its interaction with an environment. In this paper an evolutionary approach...
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In this study, a system of discrete optical pulse generation via a series of microring resonator (MRR) is presented. Chaotic signals can be generated by an optical soliton or a Gaussian pulse within a MRR system. Larg...
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In this study, a system of discrete optical pulse generation via a series of microring resonator (MRR) is presented. Chaotic signals can be generated by an optical soliton or a Gaussian pulse within a MRR system. Large bandwidth signals of optical soliton are generated by input pulse propagating within the MRRs, which can be used to form continuous wavelength or frequency with large tunable channel capacity. Therefore, distinguished discrete wavelength or frequency pulses can be generated by using localized spatial pulses via a networks communication system. Selected discrete pulses are more suitable to generate high-secured quantum codes because of the large free spectral range (FSR). Quantum codes can be generated by using a polarization control unit and a beam splitter, incorporating to the MRRs. In this work, frequency band of 10.7 MHz and 16 MHz and wavelengths of 206.9 nm, 1448 nm, 2169 nm and 2489 nm are localized and obtained which can be used for quantum codes generation applicable for secured networks communication.
In this study, new system of quantum cryptography for network communication is proposed. Multi optical Soliton can be generated and propagate via a nonlinear modified add/drop interferometer system incorporated with a...
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In this study, new system of quantum cryptography for network communication is proposed. Multi optical Soliton can be generated and propagate via a nonlinear modified add/drop interferometer system incorporated with a time division multiple access (TDMA) system wherein the transportation of quantum codes is performed. To increase the channel capacity and security of the signals, the PANDA ring resonator is proposed. Chaotic output signals from the PANDA ring resonator are input into the add/drop filter system. Chaotic signals can be filtered by using the add/drop filter system in which multi dark and bright solitons can be obtained and used to generate entangled quantum codes for internet security. In this study soliton pulses with FWHM and FSR of 325 pm and 880 nm are generated, respectively, where the Gaussian pulse with a centre wavelength of 1.55 μm and power of 600 mW is input into the system.
Lack of hearing ability hinders deaf children from mastering grammar in language studies. Unfortunately, such software targeting Malay language is limited. This paper attempts to generate new approach in handling such...
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Testing is a very important task to build error free software. Usually, the resources and time to market a software product is limited, hence, it is impossible to perform exhaustive test i.e., to test all combinations...
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Testing is a very important task to build error free software. As the resources and time to market is limited for a software product, it is impossible to perform exhaustive test i.e., to test all combinations of input...
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Testing is a very important task to build error free software. As the resources and time to market is limited for a software product, it is impossible to perform exhaustive test i.e., to test all combinations of input...
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