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Various techniques have been proposed to detect smells in spreadsheets, which are susceptible to errors. These techniques typically detect spreadsheet smells through a mechanism based on a fixed set of patterns or metric thresholds. Unlike conventional programs, tabulation styles vary greatly across spreadsheets. Smell detection based on fixed patterns or metric thresholds, which are insensitive to...
Quantum computing is rapidly evolving especially after the discovery of several efficient quantum algorithms solving intractable classical problems such as Shor's factoring algorithm. However the realization of a large-scale physical quantum computer is very challenging and the number of qubits that are currently under development is still very low, namely less than 15. In the absence of large size...
Shape Boltzmann machine (a type of Deep Boltzmann machine) is a powerful tool for shape modelling; however, has some drawbacks in representation of local shape parts. Disjunctive Normal Shape Model (DNSM) is a strong shape model that can effectively represent local parts of objects. In this paper, we propose a new shape model based on Shape Boltzmann Machine and Disjunctive Normal Shape Model which...
A number of new hierarchical and singular (scalar and vector) basis functions for field representation in two- and three-dimensional cells have been recently developed and discussed in a series of papers, and in a new book. The hierarchical functions are designed for adaptive p-refinement on domains meshed with differently shaped cells. The polynomial order of the functions may vary from cell to cell...
This paper investigates different simulation methods in HFSS for periodic arrays. Due to extensive computation times and memory requirements of explicitly simulating a large finite array, both HFSS's finite array domain decomposition method (DDM) and an infinite array simulation are studied as alternatives to reduce total simulation time. For these tests, a helix antenna operating between 8GHz and...
Social context is important to a variety of significant applications such as business intelligence, public security and epidemic. For example, companies can refine the advertisement strategy by targeting the influential people within the social group. Social context modelling and recognition is an emerging research area which aims to infer the information that characterizes multiple users such as...
A multiagent system (MAS) is a computer based model of multiple interacting intelligent agents within an environment. One of the key aspects of such models is the ability to reproduce the results in different software and hardware. In general, the simulation of these models are carried out under floating point standards. It is well known that by limitation of computer arithmetic, the results may be...
In this paper, the effect of amplitude and phase errors as well as amplifiers and phase shifters failures on a phased array performance is investigated. It is found that random phase errors and phase shifters failures are dominant factors, they influence the peak sidelobe level, pointing angle accuracy, directive power and the half power beamwidth.
Construction of field lines for vector fields can be performed by a variety of analytical or graphical methods. Except for a small number of simple geometries, where closed analytical expressions can be obtained, the shape of the field lines is determined by numerical computation or evaluated approximately by physical modelling techniques [1]. In this paper, we consider irrotational vector fields...
This paper presents and characterizes the Princeton Application Repository for Shared-Memory Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors (CMPs). Previous available benchmarks for multiprocessors have focused on high-performance computing applications and used a limited number of synchronization methods. PARSEC includes emerging applications in recognition, mining and...
We have been investigating behaviors of the logistic map over integers for constructing a pseudorandom number generator with the map. In the presented paper, we will give a 0/1-occurrence rate per bit for values by the logistic map over integers, and discuss suitable bit positions of a bit extraction for getting a pseudorandom bit sequence. First, we will show characteristic behaviors of occurrence...
As it is known, computer users who notice the existence of electronic viruses will take active measures to defend against the viruses before they prevail on networks. However, the most of former computer virus epidemic models ignore the human vigilance completely. This paper aims to understand how the human awareness prohibits virus spreading. So a new computer virus propagation model where the viral...
A new computing using Ising model that effectively solves combinatorial optimization problems is proposed. The computing maps problems to an Ising model, a model to express the behavior of magnetic spins, and solves the problems by its own convergence property. We fabricated a prototype computing chip and confirmed the power efficiency of the chip is 1800-times higher than that of the conventional...
Building program analysis tools is hard. A recurring development task is the implementation of the meta-model around which a tool is usually constructed. The XCORE prototype supports this task by generating the implementation of the meta-model. For this purpose, developers will add directly into the source code of the tool under construction some meta-information describing the desired meta-model...
Powerful miniature single-board computers have recently gained attention, inviting computer scientists and engineers to develop various kinds of applications on these tiny devices. Having numerous benefits over full-scaled personal computers, their small size enables system mobility and allows operations under limited power resources. Exploring its computing capability, we set up a Raspberry Pi with...
Exploring the design space of the memory hierarchy requires the use of effective methodologies, tools, and models to evaluate different parameter values. Reuse distance is of one of the locality models used in the design exploration and permits analytical cache miss estimation, program characterization, and synthetic trace generation. Unfortunately, the reuse distance is limited to a single locality...
Recent device shipment trends strongly indicate that the number of Web-enabled devices other than PCs and smart phones are growing rapidly. Marking the end of the dominant era of these two traditional device categories, people will soon commonly use various types of Internet-connected devices in their daily lives, where no single device will dominate. Since today's devices are mostly standalone and...
Extreme machine learning and its variants have shown good generalization performance and high leaning speed in many applications through its fast convergence. Despite the parallel and distributed ELM on MapReduce framework able to handle very large scale dataset for bigdata applications, the process of coping up with the rapidly updating data is a challenging one. Among the unified algorithms, the...
Cloud federation has emerged as a new paradigm in which different service providers collaborate to overcome limitation of cloud resource during sudden spikes in demand and improve quality of service (QoS) for delivered cloud services. The growing number of cloud federation to provide cloud services has made service selection a complex task due to varied nature of parameters like price, QoS and trust...
Compute Unified Device Architecture (CUDA) is an attractive alternative for our ever growing need for high performance computing. However to extract the full potential of CUDA one should, at the least be familiar with the programming model and should have a fair understanding of the memory and the cache architecture. Yet most of the domain experts from domains that warrant high performance computing...
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