CloudMPL:a domain specific language for describing management policies for an autonomic cloud infrastructure

To benefit from the advantages that Cloud Computing brings to the IT industry, management policies must be implemented as a part of the operation of the Cloud. Among others, for example, the specification of policies can be used for the management of energy to reduce the cost of running the IT system or also for security policies while handling privacy issues of users. As cloud platforms are large, manual enforcement of policies is not scalable. Hence, autonomic approaches for management policies have recently received a considerable attention. These approaches allow specification of rules that are executed via rule-engines. The process of rules creation starts by the interpretation of the policies drafted by high-rank managers. Then, technical IT staff translate such policies to operational activities to implement them. Such process can start from a textual declarative description and after numerous steps terminates in a set of rules to be executed on a rule engine. To simplify the steps and to bridge the considerable gap between the declarative policies and executable rules, we propose a domain-specific language called CloudMPL. We also design a method of automated transformation of the rules captured in CloudMPL to the popular rule-engine Drools. As the policies are changed over time, code generation will reduce the time required for the implementation of the policies. In addition, using a declarative language for writing the specifications is expected to make the authoring of rules easier. We demonstrate the use of the CloudMPL language into a running example extracted from a management energy consumption case study

Evaluation of a novel fusion system for soluble protein overexpression in Escherichia coli

Proteins production requires a successful correlation between expression, solubility and purification steps. As an expression system, Escherichia coli combines its low cost and ease of use with rapid expression, being widely used for heterologous protein production. This host cell has however several drawbacks, namely at the expression of insoluble proteins aggregated into inclusion bodies. Many efforts have been made to overcome such problems, including the optimization of expression conditions and the use of solubility fusion tags. The use of fusion tags for protein production remains challenging since none of the available fusion systems work universally with every partner protein. A novel fusion system had been recently discovered and submitted to a patenting process by Hitag Biotechnology, Lda. This fusion system consists of low molecular weight peptides/proteins from recombinant antigens, which have demonstrated to increase soluble protein expression levels in E. coli. This work aims at the evaluation of the effects of two novel fusion tags on soluble protein expression in E. coli. Specific primers were designed to amplify and sub‐clone gene sequences that encodes for frutalin, Cryptosporidium parvum 12kDa protein and Giardia lamblia cyst wall protein. These target proteins present therapeutic and diagnostic interests and had shown to be difficult‐to‐express in E. coli. Proteins were first fused to novel tags and than expressed in E. coli. Proteins purification was carried out by affinity chromatography, using nickel‐NTA columns. Pooled fractions were dialysed against phosphate buffer pH 7.4 and latter analysed by SDS‐PAGE. Protein expression levels were determined by Bradford assay. When fused to novel tags, all target proteins were successfully expressed in E. coli. Comparing to the respective non‐fused proteins, both novel tags used in this work promoted an increase from three to nine folds on soluble proteins expression levels. The SDS‐PAGE analysis confirmed the purity of Ni‐NTA pooled fractions, corroborating also these results. Tag1‐fusions achieved higher production yields than fusions with Tag2. In this work, three different target proteins were used to evaluate two novel fusion tags. The soluble overexpression effect offered by this novel fusion system may provide an important advance in recombinant protein expression processes in E. coli

Embedding Multi-Wall Carbon Nanotubes as Conductive Nanofiller onto Bi2Te3 Thermoelectric Matrix

Thermoelectric Generators (TEGs) are devices that have the ability to directly convert heat into electrical power, or vice-versa, and are being envisaged as one off-the-grid power source. Furthermore, carbon-based materials have been used as a conducting filler to improve several properties in thermoelectric materials. The present work studied the influence on the thermoelectric performance of Bi2Te3 bulk materials by incorporating different concentrations of Multi-Walled Carbon Nanotubes (MWCNT). In order to control and understand the influence of MWCNT dispersion in the nanocomposite, two different production methods (manual grinding and ultrasonication) were carried out and compared. It was verified that a larger dispersion leads to a better outcome for thermoelectric performance. The achieved Seebeck coefficient was up to -162 μV K-1 with a Power Factor of 0.50 μW K-2m-1, for the nanocomposite produced with 11.8 %V of MWCNT. This result demonstrates the ability to increase the thermoelectric performance of Bi2Te3 throughout the addition of MWCNT

ISePorto Robotic Soccer Team: A New Player Generation

Proceedings of the Scientific Meeting of the Portuguese Robotics Open 2004This paper describes the recent modifications in ISePorto MSL robotic football team and future improvements concerning the development and evolution of the team. The robot was substantially redesigned in order to achieve high reliability, allow better control and coordination capabilities and substantial increase in perception. New mechanical and hardware redesign is presented. Motion control subsystems, new vision hardware sensor and overall architecture are described. The team redesign is done for preparation for participating in the Robocup 2004. The main goal is to achieve not only an important evolution in the team control and coordination but also increased overall reliability

Data Mining Technique for Preventional Analysis of Work Accidents

There are many oil companies operating in Macaé-RJ, Campos basin, they value the safety of work and the lives of its employees. These companies do a study to verify the health status of their employees' spine and result in a database with six attributes, such as: Pelvic incidence, Pelvic inclination, Lumbar lordosis angle, Sacral inclination, Pelvic radius and Degree of Spondylolisthesis. For in Brazil, recently, Social Security has released statistical studies that show back pain as leaders in the ranking of departures in the first half of 2016, a fact that directly affects the productivity of companies and health of their employees. This article aims to apply the KDD process, specifically the task of Data Mining classification, ie, classify if the employee will be fit or unfit for the job. The decision tree was the technique chosen through the algorithm J48 to verify the possibilities of treatment of the collaborators in the prevention and improvement in the working environment, and even, a change in the management was made from the results found. It resulted in inadequate staff postures, inadequate service stations, lack of training in equipment handling, lack of knowledge about cargo handling