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There are many methods for indoor positioning. These methods are divided into the relative localization and absolute localization. In the relative localization, one widely used method is Pedestrian Dead Reckoning (PDR). Relative localization estimates the moving distance, orientation, and height of the pedestrian. However, relative localization has a problem caused by an accumulated error: the longer...
Quantitative description and complexity understanding of software architecture are difficult questions of software development. Taking The complexity evolution of VTK software version as an example, this paper proposes a model for predicting the complexity of software evolution based on logistic equation and quantitative validation of Lehman's law. Its basic idea is that the software architecture...
Handwritten character recognition is a translation problem of human writings into machine-editable text format. In this paper, hierarchical graph matching is presented for handwritten character recognition. Handwritten character was transformed into graphs based on its underlying skeleton structure. Edges of the extracted graph were categorized into shape types and vertices were extracted from each...
People suffering from a variety of upper and lower limb disabilities due to different neuro-muscular diseases or injuries, often find it difficult to perform day-to-day activities of mobility and grasping (pick and place) objects. This paper presents the feasibility and utility of a newly developed assistive device named EMOHEX, for disabled people to perform some activities of daily living (ADL)...
Software Complexity Metrics play a major role of determining the complexity of a given software quantitatively with respective to one or more software complexity attributes in which the metric is willing to compute with. Among the continuation of the possible ways of computing the complexity of a software, the Cognitive Complexity calculation can be considered as a prominent factor since it indicates...
A well defined testing strategy is essential for any software development project. Testing efforts need to be carefully planed and executed in order to ensure effectiveness. Programming failures can represent a high risk for business. In order to mitigate such risk, companies have been increasingly investing more resources on software testing.
Hierarchical clustering has been well-studied in the community of machine learning. Hierarchical clustering algorithms are deterministic, stable, and do not need a pre-determined number of clusters as input. However, they are not scalable for very large data due to their non-linear complexity. In this paper, a new approach is proposed to reduce the complexity of Hierarchical Clustering, improve the...
In this paper, we conduct a large scale statistical study to explore if there exists any difference between the quality of cloned methods and non cloned methods. The dataset consists of 4,421 open source Java projects containing 644,830 cloned and 842,052 non cloned methods. The study uses 27 software metrics as a proxy for quality, spanning across complexity, modularity, and documentation (code-comments)...
We present TerrainLOS, an outdoor propagation model that uses Digital Elevation Models to determine whether two nodes can communicate. We have implemented TerrainLOS in the sensor network simulator COOJA and used it to evaluate how the roughness of terrain, which we classify using Average Cumulative Visibility, affects the number of edges, connectedness, latency, and power of a network. We compare...
ERP to cloud integration is a widely debated topic, especially in the — so popular nowadays — cloud and mobility context. This article introduces a cloud based field service management solution that integrates with ERP back offices. To increase commercial adoption and obtain ERP vendor independence, a generic integration application is proposed, that abstracts communication complexity, decreases prototyping...
Workflows are visualized in different ways. In most cases real workflows deviates from hand-made models and they can be plotted as a graphical diagram. Displaying Graphical diagrams with large amounts of data is difficult; because we are limited to two-dimensional computer screens or papers. In some cases it is essential to transform workflows to reduced ones, especially with reducing visualization...
Component-Based Software Development involves integration of many different self-contained units of software that perform a specific task known as software components with the existing software components as plug-ins which can be used again and again. The present crisis in the software development forces on development of the reusable components which build once can be reused when and where ever required...
This paper focus on the problem of spectrum sensing based on multiple receive antennas. In this context, we propose a novel kurtosis based Combined Second Order Moments (CSOM) as a decision metric allowing to enhance the decision accuracy for both very low SNR environment and an uncertainty on the noise level estimation. Besides, a novel kurtosis based Square-Law Combining (SLC) test metric is proposed...
Cross-correlation metrics introduce a challenging performance for multiple antennas spectrum sensing in cognitive radio networks, since it permits to alleviate the drawback of the energy based approaches under low SNR and noise level uncertainty, while maintaining the low complexity. In this paper, we propose a novel sensing approach based on a linear soft weighting of the Combined Second Order Moment...
In classical network reliability, the system under study is a network with perfect nodes and imperfect links that fail randomly and independently. The typical problem in the area is to find the probability that the resulting random graph is connected( or more generally, that a given subset K of nodes belong to the same connected component), called reliability. Although (and because) the exact reliability...
This paper addresses the problem of precoding matrix selection in large-scale MIMO cellular systems, where traditional codebook search methods may result in high complexity for the receiver due to the increased codebook size. For this reason, we propose to first compute an unconstrained reference codeword, and then search the codebook for the best approximation of such reference codeword, using low-complexity...
With the increase of system complexity in both platforms and applications, power modelling of heterogeneous systems is facing grand challenges from the model scalability issue. To address these challenges, this paper studies two systematic methods: selective abstraction and stochastic techniques. The concept of selective abstraction via black-boxing is realised using hierarchical modelling and cross-layer...
In this paper, we propose a new user selection algorithm for full-duplex (FD) multiuser multiple-input single-output (MU-MISO) systems where a FD base station (BS) communicates with multiple half-duplex (HD) users in both downlink and uplink channels simultaneously. Due to self-interference at the BS and co-channel interference among users, a joint downlink and uplink user selection to maximize system...
Cooperative localization has become a promising solution for location-enabled technologies in Wireless Sensor Networks (WSNs). However, it suffers from great energy consumption problem due to the energy-constrained characteristic of the networks. To alleviate this problem, we propose a cluster nodes selection strategy based on the Cramer-Rao lower bound (CRLB) for the cooperative localization algorithm...
Cylindrical Algebraic Decomposition (CAD) is a key tool in computational algebraic geometry, particularly for quantifier elimination over real-closed fields. However, it can be expensive, with worst case complexity doubly exponential in the size of the input. Hence it is important to formulate the problem in the best manner for the CAD algorithm. One possibility is to precondition the input polynomials...
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