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In Software Defined Networking (SDN), for performance reasons the control plane consists of multiple SDN controllers that provide a logically centralized network control. To react to traffic changes, the control plane may adapt to improve the performance of the whole network. This adaptation includes the migration of controllers, i.e. the change of their placement, as well as the change of switch...
Understanding the mobile user flow flux patterns is important for numerous applications. Much of the mobility modeling studies have focused on a user-centric approach for outdoors movement. In this study, we take a location-centric approach for indoor mobility to analyze and characterize region relationships as pertains to user flow. Our study is trace-driven, as we use extensive measurements from...
This paper introduces PopperCI, a continous integration (CI) service hosted at UC Santa Cruz that allows researchers to automate the end-to-end execution and validation of experiments. PopperCI assumes that experiments follow Popper, a convention for implementing experiments and writing articles following a DevOps approach that has been proposed recently. PopperCI runs experiments on public, private...
In this demo we illustrate the usage of PopperCI [1], a continous integration (CI) service for experiments hosted at UC Santa Cruz that allows researchers to automate the end-to-end execution and validation of experiments. PopperCI assumes that experiments follow Popper [2], a convention for implementing experiments and writing articles following a DevOps approach that has been proposed recently.
Flexible substrates have been widely used for the fabrication of flexible or wearable electronics. The large deformation of flexible material in wearable electronics can reduce the reliability or cause premature failure of the electronics interconnects. Rapid adoption of flexible electronics for high reliability applications requires the development of methods for in-situ non-destructive measurement...
AMNESiA is an affinity measurement platform for NFV-enabled networks, designed to consolidate and interpret existing monitoring data into an affinity metric, aiding operators to identify affinity and anti-affinity relations in the network. AMNESiA uses the latest snapshot of usage data, collected through a generic monitoring solution, from the database to measure affinity between VNFs.
This paper addresses the problem of maritime vessel identification by exploiting the state-of-the-art techniques of distance metric learning and deep convolutional neural networks since vessels are the key constituents of marine surveillance. In order to increase the performance of visual vessel identification, we propose a joint learning framework which considers a classification and a distance metric...
Hyperspectral imaging is based on the acquisition of a large number of narrowly spaced spectral band images in the electromagnetic spectrum. Hyperspectral images surpass other imaging techniques in the detection of objects, classification and the detection of the changes that occur in the scene. A recent approach for hyperspectral segmentation is the superpixel segmentation approach. In this work,...
Background: Test quality is a prerequisite for achieving production system quality. While the concept of quality is multidimensional, most of the effort in testing context hasbeen channelled towards measuring test effectiveness. Objective: While effectiveness of tests is certainly important, we aim to identify a core list of testing principles that also address other quality facets of testing, and...
Traceability Link Recovery (TLR) is a fundamental software maintenance task in which links are established between related software artifacts of different types (e.g., source code, documentation, requirements specifications, etc.) within a system. Existing approaches to TLR often require a human to analyze a long list of potential links and distinguish valid links from invalid ones. Here we present...
Gephi is an open source tool, used for Data Analysis, Link Analysis, Social Network Analysis, Biological Network Analysis, Poster Creation. Gephi tool in this project is used for Social Network Analysis of Facebook Pages and is used to find metrics like Modularity, Average Weighted Degree, Average Degree etc. The Gephi tool gives different graphs as output which can be analyzed by the shape of the...
With the advancement of the product improvement, the size of the product is progressively developing to the degree that we can't hand it effortlessly. A few measurements are proposed to measure the multifaceted nature of programming in last a couple of years. This article goes for an extensive overview of the metric of programming multifaceted nature [2]. Hence we have used two developing method of...
The problem of image enhancement for low-contrast medical images with complex structure was considered. The histogram-based method for automatic contrast enhancement of low-contrast images with small-size objects on the basis of the analyzing of contrast distribution at boundaries of objects and background was proposed. The proposed method is intended for automatic preprocessing of complex medical...
In this paper we propose a complete frontier-based exploration method for Pose SLAM. The goal of current frontier-based exploration methods is to eliminate all frontiers in the environment map. This approach, however, does not meet the requirements of Pose SLAM mapping: besides arriving at a frontier free map, there is the need to close the loops in the environment. In fact, loop closing is instrumental...
This paper presents a low-complexity approach for calculating soft decision metrics of polar coded quadrature amplitude modulation (QAM) system. A simple and general bit log likelihood ratio (LLR) expression is provided for Gray coded QAM signals. The characteristics of Gray code mapping such as symmetries and repeated formats of the bit assignment in a symbol among bit groups, are exploited effectively...
Similarity join is a fundamental operation in data cleaning and integration. Existing similarity-join methods utilize the string similarity to quantify the relevance but neglect the knowledge behind the data, which plays an important role in understanding the data. Thanks to public knowledge bases, e.g., Freebase and Yago, we have an opportunity to use the knowledge to improve similarity join. To...
The paper presents the researches to determine the effectiveness of different criteria to estimate the complex biology objects clustering quality. The gene expression sequences of cancer patients were used as experimental data. The degree of the studied objects similarity was estimated by the comparison of the gene expression sequences profile using different metrics to estimate the objects proximity...
Social networks have become a vital mechanism to disseminate information to friends and colleagues. But the dynamic nature of information and user connectivity within these networks raised many new and challenging research problems. One of them is the query-related topic search in social networks. In this work, we investigate the important problem of the personalized influential topic search. There...
Terms in source code have become extremely important in Software Engineering research. These ``important'' terms are typically used as input to research tools. Therefore, the quality of the output of these tools will depend on the quality of the term extraction technique. Currently, there is no definitive best technique for predicting the importance of terms during program comprehension. In my work,...
Many books and papers describe how to do data science. While those texts are useful, it can also be important to reflect on anti-patterns; i.e. common classes of errors seen when large communities of researchers and commercial software engineers use, and misuse data mining tools. This technical briefing will present those errors and show how to avoid them.
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