In article the research of dynamics of change of electromagnetic parameters of the controlled special electric drives is conducted. Special electric drives are the controlled cascade electric drives of cylindrical and...
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In article the research of dynamics of change of electromagnetic parameters of the controlled special electric drives is conducted. Special electric drives are the controlled cascade electric drives of cylindrical and axial designs. The research of dynamics of change of parameters was executed to a basis of a method of electromagnetic transformation of energy and the theory of electromagnetic chains. As a result for new mathematical models of an electromagnetic system of the research electric drives parameters of the electromagnetic field of the closed round of one coil of an electric winding with electric current in a homogeneous environment are determined. The solved task is spatial as distribution of electromagnetic induction in a round of the set form of the electromagnetic coil is defined. The received conclusions of determination of electromagnetic parameters of cylindrical and axial electric motors of special electric drives allow to solve correctly problems of modeling, design and improvement of efficiency of the research electric drives and other electromechanical converters of energy of various designs. Results of a research are applicable for creation of the computer-aided engineering system of the research electric drives and the solution of problems of modeling and design. The conducted research allows to create electric drives optimum mass-dimensional and power indicators.
Inspired by the visual system of the fruit fly, we had created a generic building block for neuromorphic hardware that is vital for third generation neural networks. This enables time delay to be parametrized in a che...
Inspired by the visual system of the fruit fly, we had created a generic building block for neuromorphic hardware that is vital for third generation neural networks. This enables time delay to be parametrized in a cheap and inexpensive way. The advantage of our proposal is the possibility of building and testing new networks using dynamicist approach in artificial intelligence.
Lack of machine intelligibility in human/computer interactions can be traced to present approaches in software design. From the duality principle, software involved in human/computer software interaction contains two ...
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Lack of machine intelligibility in human/computer interactions can be traced to present approaches in software design. From the duality principle, software involved in human/computer software interaction contains two distinct layers, a declarative knowledge-level layer and a lower-level functional or procedural-knowledge layer. The former supports simple deductive and inductive inferences and can be used to facilitate human-comprehensible communication between programs, while the latter is composed of normal procedurally encoded computer programs. The duality principle in software design is necessary in dealing with the demands of wide-scale computer usage in the information age and an urgent goal for computer science research.
The International Workshop on the Web and Requirements Engineering (WeRE) was held in conjunction with the 18 th International IEEE Requirements Engineering Conference (RE'10) in Sydney (Australia) on September 2...
The International Workshop on the Web and Requirements Engineering (WeRE) was held in conjunction with the 18 th International IEEE Requirements Engineering Conference (RE'10) in Sydney (Australia) on September 28 2010. WeRE intends to be an international forum for exchanging ideas on both using Web technologies as a platform in the requirements engineering field, and applying requirements engineering in the development and use of websites. Papers focused on new domains and new experiences with the connection between requirements engineering and the Web were presented in WeRE.
To search for new technical solutions when designing color measuring systems, we need a design object, i.e. to divide color measuring device into fragments, and solutions are sought for these fragments separately. At ...
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ISBN:
(数字)9781728125640
ISBN:
(纸本)9781728125657
To search for new technical solutions when designing color measuring systems, we need a design object, i.e. to divide color measuring device into fragments, and solutions are sought for these fragments separately. At the first level of the partition, the color measuring device is divided into four main structural parts: the lighting, dispersing, electronic recording and computing devices.
An analysis of modern computer network intrusion detection systems was carried out. The application of machine and deep learning methods for classification problems has been investigated. The UNSW-NB15 dataset, develo...
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ISBN:
(数字)9798350384499
ISBN:
(纸本)9798350384505
An analysis of modern computer network intrusion detection systems was carried out. The application of machine and deep learning methods for classification problems has been investigated. The UNSW-NB15 dataset, developed at the Australian Cyber Security Center's (ACCS) Cyber Range Laboratory, contains data on normal network operations and synthetic intrusions. Data pre-processing was performed, including class balancing using the SMOTEENN method and selection of informative features using the Recursive Feature Elimination method. The possibility of using the stacking meta-algorithm to detect intrusions into computer networks has been investigated. A new algorithm for generating packets of raw data is proposed, which generates two sets of training data: one for training basic models, the other for a meta-model. A study of the effectiveness of using Random Forest, ANN, K Nearest Neighbor methods and Support Vector Machine and Random Forest as a decision-making meta-model was conducted. The use of the stacking meta-algorithm with the proposed algorithm for forming packets of output data, as well as basic models and a meta-model, led to a significant improvement in the quality of the model. It was found that, on average, recall and f1 score increased by 55.6% and 37.4%, respectively, compared to raw data and other models.
The multiplicity of data structures used in programming complicates analysis and verification of software systems. Nominative data aim to serve as a unified model of different data structures. The main feature of such...
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ISBN:
(数字)9781728167602
ISBN:
(纸本)9781728167619
The multiplicity of data structures used in programming complicates analysis and verification of software systems. Nominative data aim to serve as a unified model of different data structures. The main feature of such data is usage of complex names to access or modify data components. This leads to a problem considered in the paper: to define and investigate a class of nominative data with complex names (complex-named data), operations on this class, properties of this class (specified as predicates over such data), and compositions of such predicates. We define an algebra of predicates over data with complex names and specify a first order logic that describes general properties of such algebras. For this logic we construct a sequent calculus and prove its soundness and completeness.
For understanding the performance differences caused by different computer architectures and optimization technologies, the paper characterizes performance of SPEC CPU2006 benchmarks both on Intel and AMD platform. Us...
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For understanding the performance differences caused by different computer architectures and optimization technologies, the paper characterizes performance of SPEC CPU2006 benchmarks both on Intel and AMD platform. Using the performance events collected by Performance Monitor Unit, we compare their performance differences and analyze the causes from the features of architectures and the optimization technologies. Our results and analysis help the programmers better understand the memory performance and branch prediction performance which are caused by architectures and guide them in the optimization. The analysis also help the processor architects better balance among the key architecture factors such as memory disambiguation and hardware prefetch when doing architecture design decision.
Bioinformatics applications constitute an emerging data-intensive, high-performance computing (HPC) domain. While there is much research on algorithmic improvements, (2004), the actual performance of an application al...
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Bioinformatics applications constitute an emerging data-intensive, high-performance computing (HPC) domain. While there is much research on algorithmic improvements, (2004), the actual performance of an application also depends on how well the program maps to the target hardware. This paper presents a performance study of two parallel bioinformatics applications HMMER (sequence alignment) and SVM-RFE (gene expression analysis), on Intel x86 based hyperthread-capable (2002) shared-memory multiprocessor systems. The performance characteristics varied according to the application and target hardware characteristics. For instance, HMMER is compute intensive and showed better scalability on a 3.0 GHz system versus a 2.2 GHz system. However, SVM-RFE is memory intensive and showed better absolute performance on the 2.2 GHz machine which has better memory bandwidth. The performance is also impacted by processor features, e.g. hyperthreading (HT) (2002) and prefetching. With HMMER we could obtain -75% of the performance with HT enabled with respect to doubling the number of CPUs. While load balancing optimizations can provide speedup of -30% for HMMER on a hyperthreading-enabled system, the load balancing has to adapt to the target number of processors and threads. SVM-RFE benefits differently from the same load-balancing and thread scheduling tuning. We conclude that compiler and runtime optimizations play an important role to achieve the best performance for a given bioinformatics algorithm.
Localization of wireless nodes within the IoT received much attention lately. However, strong constraints on power consumption, scalability, and complexity of the nodes pose a big challenge for localization techniques...
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Localization of wireless nodes within the IoT received much attention lately. However, strong constraints on power consumption, scalability, and complexity of the nodes pose a big challenge for localization techniques. This paper presents a concept for energy-efficient low-complexity localization based on Phase Difference of Arrival (PDoA). Besides a novel method for reference transmitter selection we propose a waveform, well-suited for PDoA measurements, and evaluate its ranging performance. We compare multiple signal classification (MUSIC), linear fitting, and mean phase difference and compare their estimation variance to the Cramer Rao Lower Bound (CRLB). Our system concept allows for the mitigation of near-far effects for reference and tag signals at the receiver nodes, and an efficient implementation of a wideband frequency hopping scheme.
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