Characterization of texture in image of skin lesions by support vector machine

Due to the increased incidence of skin cancer, computational methods based on intelligent approaches have been developed to aid dermatologists in the diagnosis of skin lesions. This paper proposes a method to classify texture in images, since it is an important feature for the successfully identification of skin lesions. For this is defined a feature vector, with the fractal dimension of images through the box-counting method (BCM), which is used with a SVM to classify the texture of the lesions in to non-irregular or irregular. With the proposed solution, we could obtain an accuracy of 72.84%. © 2012 AISTI.

Development of a support vector machine-based navigation system for driving a mobile robot through paths in plantations

The use of mobile robots turns out to be interesting in activities where the action of human specialist is difficult or dangerous. Mobile robots are often used for the exploration in areas of difficult access, such as rescue operations and space missions, to avoid human experts exposition to risky situations. Mobile robots are also used in agriculture for planting tasks as well as for keeping the application of pesticides within minimal amounts to mitigate environmental pollution. In this paper we present the development of a system to control the navigation of an autonomous mobile robot through tracks in plantations. Track images are used to control robot direction by preprocessing them to extract image features. Such features are then submitted to a support vector machine in order to find out the most appropriate route. The overall goal of the project to which this work is connected is to develop a real time robot control system to be embedded into a hardware platform. In this paper we report the software implementation of a support vector machine, which so far presented around 93% accuracy in predicting the appropriate route. © 2012 IEEE.

Can neuroimaging be used as a support to diagnosis of borderline personality disorder? An approach based on computational neuroanatomy and machine learning

Several recent studies in literature have identified brain morphological alterations associated to Borderline Personality Disorder (BPD) patients. These findings are reported by studies based on voxel-based-morphometry analysis of structural MRI data, comparing mean gray-matter concentration between groups of BPD patients and healthy controls. On the other hand, mean differences between groups are not informative about the discriminative value of neuroimaging data to predict the group of individual subjects. In this paper, we go beyond mean differences analyses, and explore to what extent individual BPD patients can be differentiated from controls (25 subjects in each group), using a combination of automated-morphometric tools for regional cortical thickness/volumetric estimation and Support Vector Machine classifier. The approach included a feature selection step in order to identify the regions containing most discriminative information. The accuracy of this classifier was evaluated using the leave-one-subject-out procedure. The brain regions indicated as containing relevant information to discriminate groups were the orbitofrontal, rostral anterior cingulate, posterior cingulate, middle temporal cortices, among others. These areas, which are distinctively involved in emotional and affect regulation of BPD patients, were the most informative regions to achieve both sensitivity and specificity values of 80% in SVM classification. The findings suggest that this new methodology can add clinical and potential diagnostic value to neuroimaging of psychiatric disorders. (C) 2012 Elsevier Ltd. All rights reserved.

Development of a management system for virtual machines on private clouds

Cloud computing and, more particularly, private IaaS, is seen as a mature technol- ogy with a myriad solutions to choose from. However, this disparity of solutions and products has instilled in potential adopters the fear of vendor and data lock- in. Several competing and incompatible interfaces and management styles have increased even more these fears. On top of this, cloud users might want to work with several solutions at the same time, an integration that is difficult to achieve in practice. In this Master Thesis I propose a management architecture that tries to solve these problems; it provides a generalized control mechanism for several cloud infrastructures, and an interface that can meet the requirements of the users. This management architecture is designed in a modular way, and using a generic infor- mation model. I have validated the approach through the implementation of the components needed for this architecture to support a sample private IaaS solution: OpenStack.

Operator, organizational, direct support, and general support maintenance manual : loader, scoop type, DED, 4 wheel drive, pneumatic tired, hinged frame steer, 2 1/2 cu. yd. multi-purpose bucket (J.I. Case model MW-24), FSN 3805-253-0627.

"December 1970."

Direct and general support maintenance repair parts and special tools lists : textile repair shop, trailer mounted (York Astro model D8700477, FSN 3530-819-2008; Army model SPV 35) ... clothing repair shop, trailer mounted ... (York Astro model D8700680, FSN 3530-999-8577).

Includes index.

Operator's, organizational, direct support, and general support maintenance manual : reproduction set, diazo process 185.FL-M, (3610-01-123-7782).

Includes index.

Operator, organizational and direct support maintenance manual, including repair parts and special tool lists : cutter, paper, guillotine (Challenger Machinery model 305 HB), FSN 3610-689-5705.

Includes index.

Operator's, organizational, direct support, and general support maintenance manual : reproduction set, diazo process 185.FL-M (3610-01-123-7782).

"29 April 1983."

Direct support and general support maintenance repair parts and special tools lists (including depot maintenance repair parts and special tools) : loader, scoop type, DED, 4-wheel drive, pneumatic tired hinged frame steer 1 1/2 cu yd, multi-purpose bucket, NSN 3805-00-169-4711, J.I. Case model MW24B.

Includes index.

Direct and general support maintenance repair parts and special tools list (including depot maintenance repair parts and special tools) : loader, scoop type, pneu-tired, diesel engine driven, hinged frame steer with 2 1/2 cubic yard multi-purpose bucket, (Allis-Chalmers model 645M), FSN 3805-051-9359.

Includes index.

Operator, organizational, direct support, and general support maintenance manual : loader, scoop type, DED, 4 wheel drive, pneumatic tired, hinged frame steer, 2 1/2 cu. yd. multi-purpose bucket (J.I. Case model MW-24), FSN 3805-253-0627.

"December 1970."

Operator, organizational, direct and general support, and depot maintenance manual : loader, scoop type, DED, 4-wheel drive, pneumatic tires, hinged frame steer, w/forklift, front mounted, hydraulic operated, 10,500-lb capacity (Eaton, Yale & Towne Trojan model 3000M) FSN 3805-074-6378.

Includes index.

Direct and general support and depot maintenance repair parts and special tools lists [microform] : loader, scoop type, diesel engine, 4 wheel drive, rear wheel steerable pneumatic tires, 2 1/2 cu yd, w/multi-segment bucket (Frank G. Hough model H-90CM), FSN 3805-995-3236.

"November 1967."