Intuitionistic fuzzy similarity measures and their role in classification

We present some similarity and distance measures between intuitionistic fuzzy sets (IFSs). Thus, we propose two semi-metric distance measures between IFSs. The measures are applied to classification of shapes and handwritten Arabic sentences described with intuitionistic fuzzy information. The experimental results permitted to do a comparative analysis between intuitionistic fuzzy similarity and distance measures, which can facilitate the selection of such measure in similar applications

A Decision Process Model to Support Migration to Cloud Computing

Migration to cloud computing is a strategic organisational decision that can affect performance, productivity, growth, as well as increase competitiveness. The decision to migrate is usually complicated and dynamic due to the immaturity and the still evolving nature of the cloud environment. Although there have been many proposed methods for supporting the migration, no systematic decision process exists that clearly identifies the main steps and explicitly describes the tasks to be performed within each step. In this paper, a decision-making process model, based on a two-stage survey, is proposed. The model guides decision makers through a step-by-step approach, aiding them with their decisions for cloud migration. It offers a preliminary structure for developing a cloud knowledge-based decision support system. The model was evaluated by a group of cloud practitioners. The analysis demonstrates a high level of acceptance with regard to the structure, tasks involved and issues addressed by it

A Review of the Current Level of Support to Aid Decisions for Migrating to Cloud Computing

© 2016 Copyright held by the owner/author(s). Cloud computing provides an innovative delivery model that enables enterprises to reduce operational costs and improve flexibility and scalability. Organisations wishing to migrate their legacy systems to the cloud often need to go through a difficult and complicated decision-making process. This can be due to multiple factors including restructuring IT resources, the still evolving nature of the cloud environment, and the continuous expansion of the services offered. These have increased the requirement for tools and techniques to help the decision-making process for migration. Although significant contributions have been made in this area, there are still many aspects which require further support. This paper evaluates the existing level of support to aid the decision-making process. It examines the complexity of decisions, evaluates the current state of Decision Support Systems in respect of migrating to the cloud, and analyses three models that proposed support for the migration processes. This paper identifies the need for a coherent approach for supporting the whole decision-making process. Further, it explores possible new approaches for addressing the complex issues involved in decision-making for migrating to the cloud

A Multistatic Uniform Diffraction Tomographic Algorithm for Real-Time Moisture Detection

To obtain the moisture distribution inside a polymer foam after drying in a conveyor belt system in real time, a Multistatic Uniform Diffraction Tomography (MUDT) imaging algorithm is proposed. It is estimated that MUDT provides a better spatial resolution than the original uniform diffraction tomography (UDT). Additionally, it allows to resolve the distribution of the different scatterers, which is shown by simulation result

Towards Global Localization Using Global Descriptors

3D pose of a camera with respect to a 3D representation of thescene. IBL, despite being a trivial problem for small scenes, becomesquite challenging as the size of the scene grows. Aside fromthe computational burden, matching against a very large numberof 3D keypoints spanning a wide variety of viewpoints, illumination,and areas is a very unreliable process that results in a largenumber of outliers and ambiguous situations. In recent years, anumber of approaches have attempted to address the problem usingparadigms such as bag-of-words, features co-occurrence andothers, with varying degrees of success. This paper explores theuse of global descriptors, in particular GIST, to tackle this problem.We present a system that relies on a similarity measure derivedfrom GIST to qualify a limited number of 3D points for the matchingprocess, hence reducing the problem to its small size counterpart.Our results on a standard dataset show that our system canachieve better localization accuracy than the state of the art at afraction of the computational cost, which can used towards globallocalization

Image-Based Localization Using Context

Image-based localization problem consists of estimating the 6 DoFcamera pose by matching the image to a 3D point cloud (or equivalent)representing a 3D environment. The robustness and accuracyof current solutions is not objective and quantifiable. Wehave completed a comparative analysis of the main state of the artapproaches, namely Brute Force Matching, Approximate NearestNeighbour Matching, Embedded Ferns Classification, ACG Localizer(Using Visual Vocabulary) and Keyframe Matching Approach.The results of the study revealed major deficiencies in each approachmainly in search space reduction, clustering, feature matchingand sensitivity to where the query image was taken. Then, wechoose to focus on one common major problem that is reducingthe search space. We propose to create a new image-based localizationapproach based on reducing the search space by usingglobal descriptors to find candidate keyframes in the database thensearch against the 3D points that are only seen from these candidatesusing local descriptors stored in a 3D cloud map

Small-Scale Electric Vehicle DC-DC Converter for Nano-Grids Applications

Have you ever wondered what it would be like to have a self-sustained charging system that does not cost you any money on your electric bill? Electric car owners know that even though their cars do not require gasoline to run, they will require electricity and like everyone else that is tied to the grid will have to pay a price per kilowatt hour that is determined by their utility company. With gasoline prices falling somewhat in the past year the hype of electric vehicles has been somewhat less but who knows what the oil market is going to be like in the future, so why not be prepared. Our paper involves implementing an electric vehicle charging station that uses harvested energy from the sun